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Sample records for average henry hub

  1. ,"Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

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

    Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)",1,"Weekly","5/20/2016" ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016"

  2. ,"Henry Hub Gulf Coast Natural Gas Spot Price ($/MMBTU)"

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

    Gulf Coast Natural Gas Spot Price ($/MMBTU)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Henry Hub Gulf Coast Natural Gas Spot Price ($/MMBTU)",1,"Daily","9/16/2013" ,"Release Date:","9/18/2013" ,"Next Release Date:","9/25/2013" ,"Excel File

  3. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

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

    Annual",2015 ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016" ,"Excel File Name:","rngwhhda.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhda.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"5/25/2016 12:07:41 PM" "Back to Contents","Data 1: Henry Hub Natural Gas Spot Price

  4. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

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

    Monthly","4/2016" ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016" ,"Excel File Name:","rngwhhdm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhdm.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"5/25/2016 12:07:43 PM" "Back to Contents","Data 1: Henry Hub Natural

  5. Henry Bellamy

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

    Henry Bellamy, Ph.D. Title: Professor - Research PX Beamline Manager Office Tel. : (225) 578-9342 Fax: (225) 578-6954

  6. Henry Hui

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

    nif / people profiles Henry Hui Reaching Out to the Community Henry Hui Henry Hui From early in his life, Henry Hui seemed destined for a career in science, technology, engineering, or math-career fields known collectively as STEM. Growing up in San Francisco's Sunset District, he was exposed to science in the city. His visits to the California Academy of Sciences and the San Francisco Exploratorium gave him hands-on experiences and knowledge that paved the way to a bright future. Hui enjoyed

  7. Henry Kelly

    Broader source: Energy.gov [DOE]

    Dr. Henry Kelly is Senior Advisor to the Director of EPSA. He previously served as Principal Associate Director for Environment and Energy in the White House Office of Science and Technology Policy...

  8. Energy Efficient Buildings Hub

    SciTech Connect (OSTI)

    2013-04-01

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  9. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  10. Hubs | Department of Energy

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

    Hubs Hubs Critical Materials Hub Critical Materials Hub How do you help ensure that American companies and entrepreneurs can access the materials they need to build and develop clean energy technologies? Read more Consortium for Advanced Simulation of Light Water Reactors Consortium for Advanced Simulation of Light Water Reactors Working to predict with confidence the safe, reliable, and economically competitive performance of nuclear reactors through science-based modeling and simulation

  11. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.49 2.09 2.27 2000's 4.31 3.96 3.38 5.47 5.89 8.69 6.73 6.97 8.86 3.94 2010's 4.37 4.00 2.75 3.73 4.37 2.62

  12. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 3.45 2.15 1.89 2.03 2.25 2.20 2.19 2.49 2.88 3.07 3.01 2.35 1998 2.09 2.23 2.24 2.43 2.14 2.17 2.17 1.85 2.02 1.91 2.12 1.72 1999 1.85 1.77 1.79 2.15 2.26 2.30 2.31 2.80 2.55 2.73 2.37 2.36 2000 2.42 2.66 2.79 3.04 3.59 4.29 3.99 4.43 5.06 5.02 5.52 8.90 2001 8.17 5.61 5.23 5.19 4.19 3.72 3.11 2.97 2.19 2.46 2.34 2.30 2002 2.32 2.32 3.03 3.43 3.50 3.26 2.99 3.09 3.55 4.13 4.04 4.74 2003 5.43 7.71 5.93 5.26 5.81 5.82 5.03 4.99 4.62 4.63

  13. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    Year-Month Week 1 Week 2 Week 3 Week 4 Week 5 End Date Value End Date Value End Date Value End Date Value End Date Value 1997-Jan 01/10 3.79 01/17 4.19 01/24 2.98 01/31 2.91 1997-Feb 02/07 2.53 02/14 2.30 02/21 1.91 02/28 1.82 1997-Mar 03/07 1.86 03/14 1.96 03/21 1.91 03/28 1.84 1997-Apr 04/04 1.88 04/11 1.98 04/18 2.04 04/25 2.14 1997-May 05/02 2.15 05/09 2.29 05/16 2.22 05/23 2.22 05/30 2.28 1997-Jun 06/06 2.17 06/13 2.16 06/20 2.22 06/27 2.27 1997-Jul 07/04 2.15 07/11 2.15 07/18 2.24 07/25

  14. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    Week Of Mon Tue Wed Thu Fri 1997 Jan- 6 to Jan-10 3.82 3.80 3.61 3.92 1997 Jan-13 to Jan-17 4.00 4.01 4.34 4.71 3.91 1997 Jan-20 to Jan-24 3.26 2.99 3.05 2.96 2.62 1997 Jan-27 to Jan-31 2.98 3.05 2.91 2.86 2.77 1997 Feb- 3 to Feb- 7 2.49 2.59 2.65 2.51 2.39 1997 Feb-10 to Feb-14 2.42 2.34 2.42 2.22 2.12 1997 Feb-17 to Feb-21 1.84 1.95 1.92 1.92 1997 Feb-24 to Feb-28 1.92 1.77 1.81 1.80 1.78 1997 Mar- 3 to Mar- 7 1.80 1.87 1.92 1.82 1.89 1997 Mar-10 to Mar-14 1.95 1.92 1.96 1.98 1.97 1997 Mar-17

  15. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)...

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

    Daily","5232016" ,"Release Date:","5252016" ,"Next Release Date:","622016" ,"Excel File Name:","rngwhhdd.xls" ,"Available from Web Page:","http:tonto.eia.govdnavnghist...

  16. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

    Gasoline and Diesel Fuel Update (EIA)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 3.45 2.15 1.89 2.03 2.25 2.20 2.19 2.49 2.88 3.07 3.01 2.35 1998 2.09 2.23 2.24 2.43 2.14 2.17 2.17 1.85 2.02 1.91 2.12...

  17. High Impact Technology Hub

    Broader source: Energy.gov [DOE]

    The High Impact Technology Hub is a one stop shop for information associated with technology demonstrations in occupied, operational buildings. Resources posted to Hub should accelerate the selection and evaluation of technology demonstration projects and enable transparency into DOE’s market stimulation and tech to market activities.

  18. DOE Energy Innovation Hubs

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

    Research » DOE Energy Innovation Hubs Basic Energy Sciences (BES) BES Home About Research Materials Sciences & Engineering (MSE) Chemical Sciences, Geosciences, and Biosciences (CSGB) Accelerator and Detector Research Research Conduct Policies DOE Energy Innovation Hubs Energy Frontier Research Centers National Nanotechnology Initiative (NNI) Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact

  19. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy created the Energy Efficient Buildings Hub in Philadelphia, Pennsylvania to promote regional job creation and economic growth while also improving the energy...

  20. Henry Taube and Coordination Chemistry

    Office of Scientific and Technical Information (OSTI)

    Henry Taube and Coordination Chemistry Resources with Additional Information Henry Taube Chuck Painter/Stanford News Service Henry Taube, a Marguerite Blake Wilbur Professor of Chemistry, Emeritus, at Stanford University, received the 1983 Nobel Prize in Chemistry "for his work on the mechanisms of electron transfer reactions, especially in metal complexes" Taube 'received a doctorate from the University of California-Berkeley in 1940 and was an instructor there from 1940-41. "I

  1. SolarHub | Open Energy Information

    Open Energy Info (EERE)

    SolarHub Screenshot References: Solar Hub Homepage1 Logo: SolarHub SolarHub is a free reference database of product specification data used by professionals in the solar...

  2. Botswana Innovation Hub | Open Energy Information

    Open Energy Info (EERE)

    Botswana Innovation Hub Jump to: navigation, search Name: Botswana Innovation Hub Address: BDC Building Fairgrounds Office Park Plot 50380, Gaborone Botswana Place: Botswana Phone...

  3. Henry Chan | Argonne National Laboratory

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

    Henry Chan Postdoctoral Appointee (Supervisor, Subramanian Sankaranarayanan) - Study properties of nanoparticle membranes and other 2D materials for sensor, nanofiltration, and coating applications. - Model experimentally self-assembled nanostructures using large-scale atomistic and coarse-grained molecular dynamics simulations. - Develop coarse-grained models and force fields using optimization techniques and machine learning algorithms for the study of water crystallization and nanoparticle

  4. Presentation: Hubs+ Report | Department of Energy

    Energy Savers [EERE]

    Hubs+ Report Presentation: Hubs+ Report A briefing to the Secretary's Energy Advisory Board on the final report of the Task Force to Support the Evaluation of New Funding Constructs for Energy R&D in the DOE (Hubs+) delivered by the Task Force Chair, Cherry Murray, Harvard University PDF icon Hubs+ Report More Documents & Publications Report of the Hubs+ Task Force March 28, 2014 SEAB Meeting Minutes December 3, 2013 SEAB Meeting Minutes

  5. NREL: Geothermal Technologies - Henry (Bud) Johnston

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

    Henry (Bud) Johnston Photo of Bud Johnston Laboratory Program Manager (Geothermal) On staff since 2015 Phone number: 303-275-4999 E-mail: Henry.Johnston@nrel.gov General Profile Henry (Bud) Johnston joined NREL on October 12 as the new Laboratory Program Manager (LPM) for the NREL Geothermal Technologies Program. Previously, Bud worked with Shell for 30 years, most recently serving as reservoir engineering discipline lead within international unconventionals at Shell's headquarters in the

  6. Nathan Henry | Y-12 National Security Complex

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

    Blake Case Larry Case Patrick Case Dorothy Coker Gordon Fee Linda Fellers Louis Freels Marie Guy Nathan Henry Agnes Houser John Rice Irwin Harvey Kite Charlie Manning Alice...

  7. Henry, Nebraska: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Henry, Nebraska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.998285, -104.046297 Show Map Loading map... "minzoom":false,"mappingservice...

  8. Solent Enterprise Hub | Open Energy Information

    Open Energy Info (EERE)

    Name: Solent Enterprise Hub Place: United Kingdom Sector: Services Product: General Financial & Legal Services ( Government Public sector ) References: Solent Enterprise...

  9. Reading Enterprise Hub | Open Energy Information

    Open Energy Info (EERE)

    Name: Reading Enterprise Hub Place: United Kingdom Sector: Services Product: General Financial & Legal Services ( Academic Research foundation ) References: Reading...

  10. Henry Hurwitz, Jr., 1961 | U.S. DOE Office of Science (SC)

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

    Henry Hub Natural Gas Spot Price (Dollars per Million Btu) Henry Hub Natural Gas Spot Price (Dollars per Million Btu) Week Of Mon Tue Wed Thu Fri 1997 Jan- 6 to Jan-10 3.82 3.80 3.61 3.92 1997 Jan-13 to Jan-17 4.00 4.01 4.34 4.71 3.91 1997 Jan-20 to Jan-24 3.26 2.99 3.05 2.96 2.62 1997 Jan-27 to Jan-31 2.98 3.05 2.91 2.86 2.77 1997 Feb- 3 to Feb- 7 2.49 2.59 2.65 2.51 2.39 1997 Feb-10 to Feb-14 2.42 2.34 2.42 2.22 2.12 1997 Feb-17 to Feb-21 1.84 1.95 1.92 1.92 1997 Feb-24 to Feb-28 1.92 1.77

  11. Presentation title: This can be up to 2 lines

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

    ... high injections this year have contributed to Henry Hub prices below 3 per million Btu (MMBtu) for most of 2015. The projected Henry Hub spot price this winter averages 2.92...

  12. What are the Energy Innovation Hubs? | Department of Energy

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

    are the Energy Innovation Hubs? What are the Energy Innovation Hubs? August 1, 2010 - ... approach to overcoming critical technological barriers to advances in energy technology. ...

  13. Energy Department to Launch New Energy Innovation Hub Focused...

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

    ... This will be the fourth such hub established by the Department since 2010. Other hubs include the Joint Center for Artificial Photosynthesis, which focuses on advanced research to ...

  14. Energy Department Announces Launch of Energy Innovation Hub for...

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

    ... This will be the fifth Energy Innovation Hub established by the Department since 2010. The other Energy Innovation Hubs are: The Joint Center for Artificial Photosynthesis, which ...

  15. doe energy innovation hubs | netl.doe.gov

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

    DOE Energy Innovation Hubs The U.S. Department of Energy's Energy Innovation Hubs initiative addresses research challenges with potentially high impact on our national energy...

  16. Press Conference on the Batteries and Energy Storage Hub Announcement...

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

    December 3, 2012, Videos Press Conference on the Batteries and Energy Storage Hub ... over five years to establish a new Batteries and Energy Storage Hub, the Joint Center ...

  17. Energy Innovation Hub Report Shows Philadelphia-area Building...

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

    Innovation Hub Report Shows Philadelphia-area Building Retrofits Could Support 23,500 Jobs Energy Innovation Hub Report Shows Philadelphia-area Building Retrofits Could Support ...

  18. McHenry County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    McHenry, North Dakota Towner, North Dakota Upham, North Dakota Velva, North Dakota Voltaire, North Dakota Retrieved from "http:en.openei.orgwindex.php?titleMcHenryCounty,...

  19. EnergyHub | Open Energy Information

    Open Energy Info (EERE)

    Product: EnergyHub integrates in-home devices, stand-alone displays, and web-based software to provide consumers real-time information and control over their energy usage....

  20. Energy Innovation Hubs Online Q&A

    Broader source: Energy.gov [DOE]

    Energy Secretary Steven Chu hosted a live, streaming Q&A session with the directors of the Energy Innovation Hubs on March 6, 2012. The directors were asked questions regarding their teams' work...

  1. Critical Materials Hub | Department of Energy

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

    Facilities » Critical Materials Hub Critical Materials Hub Green light reflection from a low-oxygen environment 3D printer laser deposition of metal powder alloys. Photo courtesy of The Critical Materials Institute, Ames Laboratory Green light reflection from a low-oxygen environment 3D printer laser deposition of metal powder alloys. Photo courtesy of The Critical Materials Institute, Ames Laboratory Critical materials, including some rare earth elements that possess unique magnetic,

  2. Fuels From Sunlight Hub | Department of Energy

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

    Fuels From Sunlight Hub Fuels From Sunlight Hub August 1, 2010 - 4:11pm Addthis Researchers from across disciplines are working together to create energy and fuels directly from sunlight, and create a process that's economically viable. Researchers from across disciplines are working together to create energy and fuels directly from sunlight, and create a process that's economically viable. The Solar Energy-to-Fuels Conversion Challenge Designing highly efficient, non-biological, energy

  3. JLab Mourns Death of Henry Whitehead | Jefferson Lab

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

    Mourns Death of Henry Whitehead JLab Mourns Death of Henry Whitehead NEWPORT NEWS, VA - August 12, 2008 (Updated Aug. 14, 2008, 2 p.m. EDT) Henry Whitehead Henry Whitehead, Jr., a longtime CEBAF/JLab staff member, died Monday, August 11th. Henry, a State employee, has worked at JLab since August 1984. His most recent position was as a Sr. Electronics Technician with the SRF Institute's Cryomodule Assembly group. For funeral arrangements, see the Daily Press obituary notice. In lieu of flowers,

  4. Henry S. Kenchington, OE-50 | Department of Energy

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

    Henry S. Kenchington, OE-50 About Us Henry S. Kenchington, OE-50 - Deputy Assistant Secretary, Advanced Grid Integration Mr. Henry (Hank) Kenchington is Deputy Assistant Secretary (DAS) for the Advanced Grid Integration Division in the Department of Energy's Office of Electricity Delivery and Energy Reliability. He is responsible for the strategic management of the $3.4 billion Smart Grid Investment Grant program funded under the American Recovery and Reinvestment Act of 2009 to upgrade the

  5. McHenry County, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Lake, Illinois McHenry, Illinois Oakwood Hills, Illinois Pistakee Highlands, Illinois Port Barrington, Illinois Prairie Grove, Illinois Richmond, Illinois Ringwood, Illinois...

  6. TBU-0010- In the Matter of Henry T. Greene

    Broader source: Energy.gov [DOE]

    Henry T. Greene, a former employee of Science Applications International Corporation (SAIC) and a present employee of Bechtel SAIC Company LLC (BSC), both Department of Energy (DOE) contractors,...

  7. Aircraft Propeller Hub Repair (Technical Report) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Aircraft Propeller Hub Repair Citation Details In-Document Search Title: Aircraft Propeller Hub Repair The team performed a literature review, conducted residual stress measurements, performed failure analysis, and demonstrated a solid state additive manufacturing repair technique on samples removed from a scrapped propeller hub. The team evaluated multiple options for hub repair that included existing metal buildup technologies that the Federal Aviation Administration (FAA)

  8. Energy Innovation Hub Directors Visit the Hill | Department of Energy

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

    Hub Directors Visit the Hill Energy Innovation Hub Directors Visit the Hill April 24, 2013 - 5:39pm Addthis Rep. Chaka Fattah (D-PA) and Acting Secretary of Energy Daniel Poneman speak during an event on Capitol Hill featuring the directors of the five energy innovation hubs. | Energy Department video. Ben Dotson Ben Dotson Former Project Coordinator for Digital Reform, Office of Public Affairs What is an Energy Innovation Hub? Modeled after the strong scientific management characteristics of

  9. Report of the Hubs+ Task Force | Department of Energy

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

    Hubs+ Task Force Report of the Hubs+ Task Force This report presents the findings and recommendations for the Secretary of Energy Advisory Board (SEAB) Task Force to Support Evaluation of the new Funding Constructs for Energy Research and Development (R&D) in the Department of Energy. The Task Force was charged with assisting the DOE in evaluating the management and early progress of these new management and funding mechanisms in the Department. PDF icon SEAB Hubs+ Report PDF icon Hubs+

  10. Wind turbine rotor hub and teeter joint

    DOE Patents [OSTI]

    Coleman, Clint; Kurth, William T.; Jankowski, Joseph

    1994-10-11

    A rotor hub is provided for coupling a wind turbine rotor blade and a shaft. The hub has a yoke with a body which is connected to the shaft, and extension portions which are connected to teeter bearing blocks, each of which has an aperture. The blocks are connected to a saddle which envelops the rotor blade by one or two shafts which pass through the apertures in the bearing blocks. The saddle and blade are separated by a rubber interface which provides for distribution of stress over a larger portion of the blade. Two teeter control mechanisms, which may include hydraulic pistons and springs, are connected to the rotor blade and to the yoke at extension portions. These control mechanisms provide end-of-stroke damping, braking, and stiffness based on the teeter angle and speed of the blade.

  11. The Department of Energy's Energy Innovation Hubs

    Energy Savers [EERE]

    U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Audit Report The Department of Energy's Energy Innovation Hubs OAS-M-13-08 September 2013 Department of Energy Washington, DC 20585 September 30, 2013 MEMORANDUM FOR THE ASSISTANT SECRETARY FOR ENERGY EFFICIENCY AND RENEWABLE ENERGY ASSISTANT SECRETARY FOR NUCLEAR ENERGY ACTING DIRECTOR, OFFICE OF SCIENCE FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General

  12. Natural Gas Market Centers and Hubs: A 2003 Update

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

    Market Centers and Hubs: A 2003 Update EIA Home > Natural Gas > Natural Gas Analysis Publications Natural Gas Market Centers and Hubs: A 2003 Update Printer-Friendly Version "This special report looks at the current status of market centers/hubs in today's natural gas marketplace, examining their role and their importance to natural gas shippers, marketers, pipelines, and others involved in the transportation of natural gas over the North American pipeline network. Questions or

  13. doe energy innovation hubs | netl.doe.gov

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

    DOE Energy Innovation Hubs The U.S. Department of Energy's Energy Innovation Hubs initiative addresses research challenges with potentially high impact on our national energy security that have proved the most resistant to solution by conventional research and development (R&D) management structures. Each Energy Innovation Hub focuses on a single topic, with work spanning from basic research, through engineering development, to facilitating commercialization by industry. The balance of these

  14. Energy Department Announces Launch of Energy Innovation Hub for Critical

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

    Materials Research | Department of Energy Launch of Energy Innovation Hub for Critical Materials Research Energy Department Announces Launch of Energy Innovation Hub for Critical Materials Research May 31, 2012 - 5:56pm Addthis WASHINGTON - U.S. Secretary of Energy Steven Chu today announced plans to invest up to $120 million over five years to launch a new Energy Innovation Hub, establishing a multidisciplinary and sustained effort to identify problems and develop solutions across the

  15. Henry County Rural E M C | Open Energy Information

    Open Energy Info (EERE)

    County Rural E M C Jump to: navigation, search Name: Henry County Rural E M C Place: Indiana Phone Number: 1-800-248-8413 Website: www.henrycountyremc.com Twitter:...

  16. Henry County, Virginia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Virginia. Its FIPS County Code is 089. It is classified as...

  17. Henry County, Iowa: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Iowa. Its FIPS County Code is 087. It is classified as ASHRAE...

  18. Henry County, Indiana: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Indiana. Its FIPS County Code is 065. It is classified as ASHRAE...

  19. Henry County, Missouri: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Missouri. Its FIPS County Code is 083. It is classified as...

  20. Henry County, Georgia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Georgia. Its FIPS County Code is 151. It is classified as ASHRAE...

  1. Henry County, Kentucky: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Kentucky. Its FIPS County Code is 103. It is classified as...

  2. Henry County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Alabama. Its FIPS County Code is 067. It is classified as ASHRAE...

  3. Henry County, Tennessee: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Tennessee. Its FIPS County Code is 079. It is classified as...

  4. Henry County, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Ohio. Its FIPS County Code is 069. It is classified as ASHRAE...

  5. MHK Projects/Cornwall Wave Hub | Open Energy Information

    Open Energy Info (EERE)

    Technology *MHK TechnologiesPowerBuoy Project Timeline and Milestones *7152009 Commitment agreement signed for Wave Hub *7302010 Cable installation commences *7302011...

  6. Aircraft Propeller Hub Repair (Technical Report) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    and demonstrated a solid state additive manufacturing repair technique on samples removed ... For new hubs, a machining practice to prevent fretting with the steel drive shaft ...

  7. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    because Sabine Pipeline had declared a force majeure, which prevented or reduced gas flow operations at the hub. On Wednesday, October 12, prices at the Henry Hub averaged 13.76...

  8. Department of Energy to Invest $366M in Energy Innovation Hubs

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

    Department of Energy to Invest 366M in Energy Innovation Hubs Funding Opportunity Announcement for Fuels from Sunlight Hub is Issued Secretary Chu Washington, DC U.S....

  9. Ask Your Energy Innovation Hub Questions | Department of Energy

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

    Ask Your Energy Innovation Hub Questions April Saylor April Saylor Former Digital Outreach ... We'll be live-tweeting the Q&A from @ENERGY, and will have video of the discussion ...

  10. Natural Gas Market Centers and Hubs: A 2003 Update

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

    Market Centers and Hubs: A 2003 Update Energy Information Administration - October 2003 1 This special report looks at the current status of market centers/hubs in today=s natural gas marketplace, examining their role and their importance to natural gas shippers, marketers, pipelines, and others involved in the transportation of natural gas over the North American pipeline network. Questions or comments on the contents of this article should be directed to James Tobin at james.tobin@eia.doe.gov

  11. Microfluidic hubs, systems, and methods for interface fluidic modules

    DOE Patents [OSTI]

    Bartsch, Michael S; Claudnic, Mark R; Kim, Hanyoup; Patel, Kamlesh D; Renzi, Ronald F; Van De Vreugde, James L

    2015-01-27

    Embodiments of microfluidic hubs and systems are described that may be used to connect fluidic modules. A space between surfaces may be set by fixtures described herein. In some examples a fixture may set substrate-to-substrate spacing based on a distance between registration surfaces on which the respective substrates rest. Fluidic interfaces are described, including examples where fluid conduits (e.g. capillaries) extend into the fixture to the space between surfaces. Droplets of fluid may be introduced to and/or removed from microfluidic hubs described herein, and fluid actuators may be used to move droplets within the space between surfaces. Continuous flow modules may be integrated with the hubs in some examples.

  12. Energy Innovation Hubs: Achieving Our Energy Goals with Science |

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

    Department of Energy Hubs: Achieving Our Energy Goals with Science Energy Innovation Hubs: Achieving Our Energy Goals with Science March 2, 2012 - 6:44pm Addthis Secretary Chu stops at Oak Ridge National Lab in February 2012 for a quick, nuclear-themed visit that included a tour of the Consortium for Advanced Simulation of Light Water Reactors (CASL) and a stop at the new Manufacturing Demonstration Facility (MDF). | Photo courtesy of Oak Ridge National Lab Secretary Chu stops at Oak Ridge

  13. Interface structure for hub and mass attachment in flywheel rotors

    DOE Patents [OSTI]

    Deteresa, Steven J.; Groves, Scott E.

    1998-06-02

    An interface structure for hub and mass attachment in flywheel rotors. The interface structure efficiently transmits high radial compression forces and withstands both large circumferential elongation and local stresses generated by mass-loading and hub attachments. The interface structure is comprised of high-strength fiber, such as glass and carbon, woven into an angle pattern which is about 45.degree. with respect to the rotor axis. The woven fiber is bonded by a ductile matrix material which is compatible with and adheres to the rotor material. This woven fiber is able to elongate in the circumferential direction to match the rotor growth during spinning.

  14. Interface structure for hub and mass attachment in flywheel rotors

    DOE Patents [OSTI]

    Deteresa, S.J.; Groves, S.E.

    1998-06-02

    An interface structure is described for hub and mass attachment in flywheel rotors. The interface structure efficiently transmits high radial compression forces and withstands both large circumferential elongation and local stresses generated by mass-loading and hub attachments. The interface structure is comprised of high-strength fiber, such as glass and carbon, woven into an angle pattern which is about 45{degree} with respect to the rotor axis. The woven fiber is bonded by a ductile matrix material which is compatible with and adheres to the rotor material. This woven fiber is able to elongate in the circumferential direction to match the rotor growth during spinning. 2 figs.

  15. Los Alamos expertise integral to nuclear energy innovation hub

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

    Nuclear energy innovation hub Los Alamos expertise integral to nuclear energy innovation hub The information gained through this effort will help extend the life and improve the efficiency of the existing U.S. nuclear reactor fleet and could help lead to the design of safer, longer-lasting materials in next-generation reactors. June 3, 2010 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation

  16. Press Conference on the Batteries and Energy Storage Hub Announcement:

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

    November 30, 2012 - Joint Center for Energy Storage Research December 3, 2012, Videos Press Conference on the Batteries and Energy Storage Hub Announcement: November 30, 2012 UChicago President Robert Zimmer was joined by U.S. Secretary of Energy Steven Chu on November 30, 2012, to announce that a multi-partner team led by Argonne National Laboratory was selected for an award of up to $120 million over five years to establish a new Batteries and Energy Storage Hub, the Joint Center for

  17. Natural Gas Market Centers and Hubs: A 2003 Update

    Reports and Publications (EIA)

    2003-01-01

    This special report looks at the current status of market centers/hubs in today's natural gas marketplace, examining their role and their importance to natural gas shippers, marketers, pipelines, and others involved in the transportation of natural gas over the North American pipeline network.

  18. SEMI-ANNUAL REPORTS FOR MAIN PASS ENERGY HUB, LLC - FE DKT. NO...

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

    MAIN PASS ENERGY HUB, LLC - FE DKT. NO. 12-114-LNG - ORDER 3220 SEMI-ANNUAL REPORTS FOR MAIN PASS ENERGY HUB, LLC - FE DKT. NO. 12-114-LNG - ORDER 3220 PDF icon April 2014 PDF icon ...

  19. Energy Innovation Hubs: A Home for Scientific Collaboration

    ScienceCinema (OSTI)

    Chu, Steven

    2013-05-29

    Secretary Chu will host a live, streaming Q&A session with the directors of the Energy Innovation Hubs on Tuesday, March 6, at 2:15 p.m. EST. The directors will be available for questions regarding their teams' work and the future of American energy. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@hq.doe.gov, prior or during the live event. Dr. Hank Foley is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Consortium for Advanced Simulation of Light Water Reactors, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis, which focuses on how to produce fuels from sunlight, water, and carbon dioxide. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Ask your questions in the comments below, or submit them on Facebook, Twitter (@energy), or send an e-mail to newmedia@energy.gov, prior or during the live event. The Energy Innovation Hubs are major integrated research centers, with researchers from many different institutions and technical backgrounds. Each Hub is focused on a specific high priority goal, rapidly accelerating scientific discoveries and shortening the path from laboratory innovation to technological development and commercial deployment of critical energy technologies. Dr. Hank Holey is the director of the Greater Philadelphia Innovation Cluster for Energy-Efficient Buildings, which is pioneering new data intensive techniques for designing and operating energy efficient buildings, including advanced computer modeling. Dr. Douglas Kothe is the director of the Modeling and Simulation for Nuclear Reactors Hub, which uses powerful supercomputers to create "virtual" reactors that will help improve the safety and performance of both existing and new nuclear reactors. Dr. Nathan Lewis is the director of the Joint Center for Artificial Photosynthesis Hub, which focuses on how to produce biofuels from sunlight, water, and carbon dioxide.

  20. Henry Kostalik > Researcher - 3M > Center Alumni > The Energy Materials

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

    Center at Cornell Henry Kostalik Researcher - 3M hak27@cornell.edu Originally a member of the Coates Group, Henry received his PhD from Cornell in 2011. He is now working as a Sr. Research Specialist at 3M Corporate Research Laboratory

  1. Neutron resonance averaging

    SciTech Connect (OSTI)

    Chrien, R.E.

    1986-10-01

    The principles of resonance averaging as applied to neutron capture reactions are described. Several illustrations of resonance averaging to problems of nuclear structure and the distribution of radiative strength in nuclei are provided. 30 refs., 12 figs.

  2. Digital microfluidic hub for automated nucleic acid sample preparation.

    SciTech Connect (OSTI)

    He, Jim; Bartsch, Michael S.; Patel, Kamlesh D.; Kittlaus, Eric A.; Remillared, Erin M.; Pezzola, Genevieve L.; Renzi, Ronald F.; Kim, Hanyoup

    2010-07-01

    We have designed, fabricated, and characterized a digital microfluidic (DMF) platform to function as a central hub for interfacing multiple lab-on-a-chip sample processing modules towards automating the preparation of clinically-derived DNA samples for ultrahigh throughput sequencing (UHTS). The platform enables plug-and-play installation of a two-plate DMF device with consistent spacing, offers flexible connectivity for transferring samples between modules, and uses an intuitive programmable interface to control droplet/electrode actuations. Additionally, the hub platform uses transparent indium-tin oxide (ITO) electrodes to allow complete top and bottom optical access to the droplets on the DMF array, providing additional flexibility for various detection schemes.

  3. 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 Commercial Price Commercial Price - Local Distribution Companies Commerical Price - Marketers Commercial % Sold by Local Distribution Companies Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011

  4. Henry`s law solubilities and Setchenow coefficients for biogenic reduced sulfur species obtained from gas-liquid uptake measurements

    SciTech Connect (OSTI)

    De Bruyn, W.J.; Swartz, E.; Hu, J.H. [Boston College, Chestnut Hill, MA (United States)] [and others] [Boston College, Chestnut Hill, MA (United States); and others

    1995-04-20

    Biogenically produced reduced sulfur compounds, including dimethylsulfide (DMS, CH{sub 3}SCH{sub 3}), hydrogen sulfide (H{sub 2}S), carbon disulfide (CS{sub 2}), methyl mercaptan (CH{sub 3}SH), and carbonyl sulfide (OCS), are a major source of sulfur in the marine atmosphere. This source is estimated to contribute 25-40% of global sulfur emissions. These species and their oxidation products, dimethyl sulfoxide (DMSO), dimethyl sulfone (DMSO{sub 2}), and methane sulfonic acid (MSA), dominate the production of aerosol and cloud condensation nuclei (CCN) in the clean marine atmosphere. The multiphase chemical processes for these species must be understood in order to study the evolving role of combustion-produced sulfur oxides over the oceans. Using a newly developed bubble column apparatus, a series of aqueous phase uptake studies have been completed for the reduced sulfur species DMS, H{sub 2}S, CS{sub 2}, CH{sub 3}SH, and OCS. Aqueous phase uptake has been studied as a function of temperature (278-298 K), pH (1-14), H{sub 2}O{sub 2} concentration (0-1 M), NaCl concentration (0-5 M), and (NH{sub 4}){sub 2}SO{sub 4} concentration (0-4 M). The Henry`s law coefficients for CH{sub 3}SH and CS{sub 2} were determined for the first time, as were the Setchenow coefficients for all the species studied. 33 refs., 8 figs., 2 tabs.

  5. EIA - Natural Gas Pipeline Network - Natural Gas Market Centers and Hubs

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

    Market Centers and Hubs About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Market Centers and Hubs in Relation to Major Natural Gas Transportation Corridors, 2009 Natural Gas Market Centers and Hubs in Relation to Major Natural Gas Transportation Corridors, 2009 DCP = DCP Midstream Partners LP; EPGT = Enterprise Products Texas Pipeline Company. Note: The relative widths of the various transportation corridors are based

  6. Department of Energy to Invest $366M in Energy Innovation Hubs...

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

    Their achievements-from the transistor to the information theory that makes modern ... This Hub is intended to produce a multi-physics computational environment that will be ...

  7. Joe Henry named COO for B&W Y-12 | Y-12 National Security Complex

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

    focus on operations. Henry currently is president of Nuclear Fuel Services, Inc. (NFS) in Erwin, Tenn., and is expected to temporarily serve in the COO position at B&W Y-12...

  8. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    5.85 per MMBtu from July through December, while composite spot prices will likely stay well above 6.00. Spot prices at the Henry Hub averaged 6.34 per MMBtu in May and...

  9. Natural Gas Weekly Update, Printer-Friendly Version

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

    the Henry Hub spot price on average during the week ended June 25. Other Market Trends: Shell Reopens Its Mars Platform: Shell's Mars tension leg platform reopened on Monday, June...

  10. Microsoft Word - Price Uncertainty Supplement.doc

    Gasoline and Diesel Fuel Update (EIA)

    ... of the vessel transporting the oil (including insurance, inspection, etc.) are covered. ... U.S. Natural Gas Prices. The Henry Hub spot price averaged 4.80 per MMBtu in June, 0.66 ...

  11. Microsoft Word - MPUR_Apr2011_final.docx

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

    ... is now just under 1.2, in other words 20 percent more open upside insurance contracts. ... U.S. Natural Gas Prices. The Henry Hub spot price averaged 3.97 per MMBtu in March, 12 ...

  12. Short-Term Energy Outlook

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

    ... EIA expects the Henry Hub natural gas spot price to average 3.34million British U.S. Energy Information Administration | Short-Term Energy Outlook February 2015 2 thermal units ...

  13. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    Henry Hub increased a moderate 0.023 per MMBtu for the week to 3.877. Natural gas in storage decreased to 3,097 Bcf, which exceeds the 5-year average by 2.4 percent. A general...

  14. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    Henry Hub increased a moderate 0.023 per MMBtu for the week to 3.877. Natural gas in storage decreased to 3,097 Bcf, which exceeds the 5-year average by 2.4 percent. A general...

  15. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    including key gas-consuming areas in the Northeast. The Henry Hub spot price reversed ground after price declines last week, gaining 16 cents per MMBtu to an average of 4.35...

  16. Natural Gas Weekly Update, Printer-Friendly Version

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

    including key gas-consuming areas in the Northeast. The Henry Hub spot price reversed ground after price declines last week, gaining 16 cents per MMBtu to an average of 4.35...

  17. Natural Gas Weekly Update

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

    exceeding 2.50 per MMBtu at most markets. On Wednesday, December 7, prices at the Henry Hub averaged 13.95 per MMBtu, increasing 2.22 per MMBtu, or about 19 percent, since...

  18. Natural Gas Weekly Update

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

    in Northeast prices to highs for the season. For the week (Wednesday-Wednesday), the Henry Hub spot price gained 0.13 per MMBtu to an average price of 3.04 yesterday (July...

  19. Natural Gas Weekly Update

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

    most production-area trading locations. For the week (Wednesday-Wednesday), the average Henry Hub price climbed 0.14 per MMBtu to 4.24. At the NYMEX, the futures contract for...

  20. Natural Gas Weekly Update

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

    at most market locations in the Lower 48 States. On Wednesday, August 16, prices at the Henry Hub averaged 7.02 per MMBtu, decreasing 57 cents per MMBtu, or about 7.5 percent,...

  1. Natural Gas Weekly Update

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

    exceeding 4 per MMBtu at most markets. On Wednesday, November 2, prices at the Henry Hub averaged 10.84 per MMBtu, decreasing 3.83 per MMBtu, or more than 26 percent,...

  2. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    48 States, increasing between 0.25 and 1.12 per million Btu (MMBtu). Prices at the Henry Hub rose 0.41 per MMBtu since last Wednesday, averaging 3.76 per MMBtu in trading...

  3. Natural Gas Weekly Update

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

    exceeding 1 per MMBtu at most locations. On Wednesday, March 1, the spot price at the Henry Hub averaged 6.62 per MMBtu, declining about 92 cents per MMBtu or about 12 percent...

  4. Natural Gas Weekly Update

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

    MMBtu or about 2 to 8 percent at most markets. On Wednesday, February 1, prices at the Henry Hub averaged 8.71 per MMBtu, reflecting an increase of 0.21 per MMBtu or about 2...

  5. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    in California rose modestly, and prices at most other market locations declined. At the Henry Hub, the average spot price fell 4 cents per MMBtu for the week, ending trading...

  6. Natural Gas Weekly Update

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

    prices decreased at most market locations in the Lower 48 States for the week. The Henry Hub spot price averaged 7.04 per million Btu (MMBtu) as of December 5, declining 47...

  7. Energy Department to Launch New Energy Innovation Hub Focused on Advanced

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

    Batteries and Energy Storage | Department of Energy to Launch New Energy Innovation Hub Focused on Advanced Batteries and Energy Storage Energy Department to Launch New Energy Innovation Hub Focused on Advanced Batteries and Energy Storage February 7, 2012 - 9:32am Addthis Washington, D.C. - U.S. Secretary of Energy Steven Chu announced today plans to launch a new Energy Innovation Hub for advanced research on batteries and energy storage with an investment of up to $120 million over five

  8. Energy Department to Provide $75 Million for 'Fuels from Sunlight' Hub

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

    | Department of Energy to Provide $75 Million for 'Fuels from Sunlight' Hub Energy Department to Provide $75 Million for 'Fuels from Sunlight' Hub April 28, 2015 - 4:46pm Addthis News Media Contact (202) 586-4940 DOENews@hq.doe.gov Center Aims to Produce Liquid Transportation Fuels from Sunlight WASHINGTON - The U.S. Department of Energy today announced $75 million in funding to renew the Joint Center for Artificial Photosynthesis (JCAP), a DOE Energy Innovation Hub originally established in

  9. Henry C. Honeck, 1974 | U.S. DOE Office of Science (SC)

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

    Henry C. Honeck, 1974 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1970's Henry C. Honeck, 1974 Print Text Size: A A A FeedbackShare Page Reactors: For his diverse and

  10. Welcome and Overview of Workshop and Energy Innovation Hubs Video (Text Version)

    Broader source: Energy.gov [DOE]

    This is a text version of the welcome and overview of the workshop and energy innovation hubs video presented at the Critical Materials Workshop, held on April 3, 2012 in Arlington, Virginia.

  11. Department of Energy to Invest $366M in Energy Innovation Hubs...

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

    possible-are evidence that we can build creative, highly-integrated research teams that ... risky for industry to fund. 3) The third novel funding model, Energy Innovation Hubs, ...

  12. Department of Energy to Invest $366M in Energy Innovation Hubs...

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

    possible-are evidence that we can build creative, highly-integrated research teams that ... The three DOE Energy Innovation Hubs will focus on: production of fuels directly from ...

  13. Energy Innovation Hub Report Shows Philadelphia-area Building Retrofits Could Support 23,500 Jobs

    Broader source: Energy.gov [DOE]

    Recent reports commissioned by the Energy Efficiency Buildings Hub highlight the potential of a massive retrofit project aimed to reduce the area's building energy use by 50 percent in the next 10 years.

  14. "2014 Average Monthly Bill- Commercial"

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

    (kWh)","Average Price (centskWh)","Average Monthly Bill (Dollar and cents)" "New England",862269,5132.4894,14.699138,754.43169 "Connecticut",155372,6915.4089,15.547557,1075...

  15. "2014 Average Monthly Bill- Residential"

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

    (kWh)","Average Price (centskWh)","Average Monthly Bill (Dollar and cents)" "New England",6243013,630.1915,17.822291,112.31456 "Connecticut",1459239,729.69421,19.748254,144...

  16. "2014 Average Monthly Bill- Industrial"

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

    (kWh)","Average Price (centskWh)","Average Monthly Bill (Dollar and cents)" "New England",28017,56832.854,11.842263,6730.2959 "Connecticut",4648,63016.315,12.915601,8138.93...

  17. Surface--micromachined rotatable member having a low-contact-area hub

    DOE Patents [OSTI]

    Rodgers, M. Steven; Sniegowski, Jeffry J.

    2002-01-01

    A surface-micromachined rotatable member formed on a substrate and a method for manufacturing thereof are disclosed. The surface-micromachined rotatable member, which can be a gear or a rotary stage, has a central hub, and an annulus connected to the central hub by an overarching bridge. The hub includes a stationary axle support attached to the substrate and surrounding an axle. The axle is retained within the axle support with an air-gap spacing therebetween of generally 0.3 .mu.m or less. The rotatable member can be formed by alternately depositing and patterning layers of a semiconductor (e.g. polysilicon or a silicon-germanium alloy) and a sacrificial material and then removing the sacrificial material, at least in part. The present invention has applications for forming micromechanical or microelectromechanical devices requiring lower actuation forces, and providing improved reliability.

  18. Surface-micromachined rotatable member having a low-contact-area hub

    DOE Patents [OSTI]

    Rodgers, M. Steven; Sniegowski, Jeffry J.; Krygowski, Thomas W.

    2003-11-18

    A surface-micromachined rotatable member formed on a substrate and a method for manufacturing thereof are disclosed. The surface-micromachined rotatable member, which can be a gear or a rotary stage, has a central hub, and an annulus connected to the central hub by an overarching bridge. The hub includes a stationary axle support attached to the substrate and surrounding an axle. The axle is retained within the axle support with an air-gap spacing therebetween of generally 0.3 .mu.m or less. The rotatable member can be formed by alternately depositing and patterning layers of a semiconductor (e.g. polysilicon or a silicon-germanium alloy) and a sacrificial material and then removing the sacrificial material, at least in part. The present invention has applications for forming micromechanical or microelectromechanical devices requiring lower actuation forces, and providing improved reliability.

  19. California Team to Receive up to $122 Million for Energy Innovation Hub to

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

    Develop Method to Produce Fuels from Sunlight | Department of Energy Team to Receive up to $122 Million for Energy Innovation Hub to Develop Method to Produce Fuels from Sunlight California Team to Receive up to $122 Million for Energy Innovation Hub to Develop Method to Produce Fuels from Sunlight July 22, 2010 - 12:00am Addthis Washington, D.C. - As part of a broad effort to achieve breakthrough innovations in energy production, U.S. Deputy Secretary of Energy Daniel Poneman today

  20. Energy Innovation Hubs and the Quest to Turn Sunlight Into Fuel |

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

    Department of Energy Innovation Hubs and the Quest to Turn Sunlight Into Fuel Energy Innovation Hubs and the Quest to Turn Sunlight Into Fuel July 22, 2010 - 12:01pm Addthis Daniel B. Poneman Daniel B. Poneman Former Deputy Secretary of Energy From the Manhattan Project to AT&T's Bell Laboratories, we've seen the transformative results that can happen when we bring together some of our best scientific minds. American innovation has solved some of the world's toughest problems and made

  1. Spacetime averaged null energy condition

    SciTech Connect (OSTI)

    Urban, Douglas; Olum, Ken D.

    2010-06-15

    The averaged null energy condition has known violations for quantum fields in curved space, even when one considers only achronal geodesics. Many such examples involve rapid variation in the stress-energy tensor in the vicinity of the geodesic under consideration, giving rise to the possibility that averaging in additional dimensions would yield a principle universally obeyed by quantum fields. However, after discussing various procedures for additional averaging, including integrating over all dimensions of the manifold, we give here a class of examples that violate any such averaged condition.

  2. National Geothermal Data System Hub Deployment Timeline (Appendix E-1-d)

    SciTech Connect (OSTI)

    Caudill, Christy

    2015-12-20

    Excel spreadsheet describing activity, spending, and development for the four data hubs (Arizona Geoloical Survey, Kentucky Geological Survey, Illinois Geological Survey, and Nevada Bureau of Mines and Geology) serving data for the National Geothermal Data System under the State Contributions to the National Geothermal Data System Project.

  3. High average power pockels cell

    DOE Patents [OSTI]

    Daly, Thomas P.

    1991-01-01

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

  4. 2014 Average Monthly Bill- Commercial

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

    Commercial (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 862,269 5,132 14.70 754.43 Connecticut 155,372 6,915 15.55 1,075.18 Maine 91,541 3,627 12.70 460.77 Massachusetts 398,717 5,450 14.68 799.87 New Hampshire 105,840 3,515 14.34 504.04 Rhode Island 58,346 5,224 14.56 760.66 Vermont 52,453 3,226 14.56 469.78 Middle Atlantic 2,247,455 5,860

  5. 2014 Average Monthly Bill- Industrial

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

    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 28,017 56,833 11.84 6,730.30 Connecticut 4,648 63,016 12.92 8,138.94 Maine 3,023 92,554 8.95 8,281.27 Massachusetts 14,896 44,536 12.74 5,674.13 New Hampshire 3,342 49,099 11.93 5,857.27 Rhode Island 1,884 39,241 12.86 5,047.36 Vermont 224 527,528 10.23 53,984.67 Middle Atlantic 44,397

  6. 2014 Average Monthly Bill- Residential

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

    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 6,243,013 630 17.82 112.31 Connecticut 1,459,239 730 19.75 144.10 Maine 706,952 549 15.27 83.91 Massachusetts 2,720,128 615 17.39 106.94 New Hampshire 606,883 619 17.53 108.57 Rhode Island 438,879 583 17.17 100.09 Vermont 310,932 569 17.47 99.34 Middle Atlantic 15,806,914 696 16.39

  7. Variable Average Absolute Percent Differences

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

    Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 0.9 45.8 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 37.7 17.3 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 36.6 18.7 Total Petroleum Consumption (Table 4) 7.9 70.7 Crude Oil Production (Table 5) 8.1 51.1 Petroleum Net Imports (Table 6) 24.7 73.8 Natural Gas

  8. Henry A

    Energy Savers [EERE]

    Government & Industry Affairs 1050 K Street, NW Suite 900 Washington, D.C. 20001 (202) 962-8550 April 19, 2012 To: Docket Number EERE-2008-BT-STD-005 From: Ric Erdheim, Senior Counsel, Philips Electronics Re: Ex Parte Communication Participants: Peter Shreve and Ric Erdheim, Philips Electronics Vic Petrolatti, DOE Michael Kido, DOE General Counsel Office Matt Nardotti, Navigant Consulting Discussion: Philips staff asked a series of questions regarding the application of the test procedure

  9. Establishment of a Hub for the Light Water Reactor Sustainability Online Monitoring Community

    SciTech Connect (OSTI)

    Nancy J. Lybeck; Magdy S. Tawfik; Binh T. Pham

    2011-08-01

    Implementation of online monitoring and prognostics in existing U.S. nuclear power plants will involve coordinating the efforts of national laboratories, utilities, universities, and private companies. Internet-based collaborative work environments provide necessary communication tools to facilitate interaction between geographically diverse participants. Available technologies were considered, and a collaborative workspace was established at INL as a hub for the light water reactor sustainability online monitoring community.

  10. Energy Department Announces Five Year Renewal of Funding for First Energy Innovation Hub

    Broader source: Energy.gov [DOE]

    – In support of the President’s call during his State of the Union Address to advance an all-of-the-above energy strategy, the U.S. Department of Energy announced today it would renew funding, subject to congressional appropriations, for the Consortium for the Advanced Simulation of Light Water Reactors (CASL), an Energy Innovation Hub established in 2010 to develop advanced computing capabilities that serve as a virtual version of existing, operating nuclear reactors.

  11. Continuous integration for concurrent MOOSE framework and application development on GitHub

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

    Slaughter, Andrew E.; Peterson, John W.; Gaston, Derek R.; Permann, Cody J.; Andrs, David; Miller, Jason M.

    2015-11-20

    For the past several years, Idaho National Laboratory’s MOOSE framework team has employed modern software engineering techniques (continuous integration, joint application/framework source code repos- itories, automated regression testing, etc.) in developing closed-source multiphysics simulation software (Gaston et al., Journal of Open Research Software vol. 2, article e10, 2014). In March 2014, the MOOSE framework was released under an open source license on GitHub, significantly expanding and diversifying the pool of current active and potential future contributors on the project. Despite this recent growth, the same philosophy of concurrent framework and application development continues to guide the project’s development roadmap. Severalmore » specific practices, including techniques for managing multiple repositories, conducting automated regression testing, and implementing a cascading build process are discussed in this short paper. Furthermore, special attention is given to describing the manner in which these practices naturally synergize with the GitHub API and GitHub-specific features such as issue tracking, Pull Requests, and project forks.« less

  12. Henry's law constants for paint solvents and their implications on volatile organic compound emissions from automotive painting

    SciTech Connect (OSTI)

    Kim, B.R.; Kalis, E.M.; DeWulf, T.; Andrews, K.M.

    2000-02-01

    This paper describes experimental results of equilibrium partitioning of several significant paint solvents and formaldehyde between air and water to quantify the potential for capturing and retaining the constituents in spraybooth scrubber water during automotive painting. The compounds studied are toluene, n-butanol, methyl ethyl ketone methyl propyl ketone, methyl isobutyl ketone, methyl amyl ketone, butyl cellosolve, butyl cellosolve acetate, butyl carbitol, and n-methyl-2-pyrrolidinone. A set of field data collected at a Ford Motor Company assembly plant was also analyzed to determine whether data were consistent with the equilibrium phenomenon. The primary findings include: (a) There were more than six orders of magnitude difference in the Henry's law constants among the solvents studied. A solvent with a smaller constant is less easily stripped from water. The Henry's law constants decrease in the following order: toluene and xylenes > methyl ethyl ketone > n-butanol > butyl cellosolve acetate > butyl cellosolve > formaldehyde > butyl carbitol > n-methyl-2-pyrrolidinone. (b) Field data showed accumulation of n-methyl-2-pyrrolidinone and stable concentrations of butyl carbitol, butyl cellosolve, and n-butanol in the paint-sludge pit water during a 2-month period. Stable concentrations indicate a continuous, balanced capture and stripping of the solvents. Data were consistent with measured Henry's law constants. (c) The low Henry's law constant for formaldehyde is the result of the fact that it is hydrated when dissolved in water.

  13. Average and effective Q-values for fission product average (n...

    Office of Scientific and Technical Information (OSTI)

    Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Citation Details In-Document Search Title: Average and effective Q-values for ...

  14. Dynamic Multiscale Averaging (DMA) of Turbulent Flow

    SciTech Connect (OSTI)

    Richard W. Johnson

    2012-09-01

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

  15. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    SciTech Connect (OSTI)

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-02-09

    This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

  16. Joint Center for Artificial Photosynthesis (JCAP): DOE's Solar Fuels Energy Innovation Hub (2011 EFRC Summit)

    ScienceCinema (OSTI)

    Lewis, Nate (Director, Joint Center for Artificial Photosynthesis and Professor at Caltech)

    2012-03-14

    The Joint Center for Artificial Photosynthesis (JCAP) is a DOE Energy Innovation Hub focused on fuels from sunlight. JCAP's Director, Nate Lewis, spoke at the 2011 EFRC Summit about what JCAP is and how it is partnering with the EFRC community to accelerate the progress towards new solar fuels. The 2011 EFRC Summit and Forum brought together the EFRC community and science and policy leaders from universities, national laboratories, industry and government to discuss "Science for our Nation's Energy Future." In August 2009, the Office of Science established 46 Energy Frontier Research Centers. The EFRCs are collaborative research efforts intended to accelerate high-risk, high-reward fundamental research, the scientific basis for transformative energy technologies of the future. These Centers involve universities, national laboratories, nonprofit organizations, and for-profit firms, singly or in partnerships, selected by scientific peer review. They are funded at $2 to $5 million per year for a total planned DOE commitment of $777 million over the initial five-year award period, pending Congressional appropriations. These integrated, multi-investigator Centers are conducting fundamental research focusing on one or more of several ?grand challenges? and use-inspired ?basic research needs? recently identified in major strategic planning efforts by the scientific community. The purpose of the EFRCs is to integrate the talents and expertise of leading scientists in a setting designed to accelerate research that transforms the future of energy and the environment.

  17. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Md. S. Roni; Kara G. Cafferty; Sandra D. Eksioglu

    2014-06-01

    In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for longhaul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus is not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.

  18. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model For Densified Biomass

    SciTech Connect (OSTI)

    Md S. Roni; Sandra Eksioglu; Kara G. Cafferty

    2014-06-01

    In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for long-haul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus in not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.

  19. Spacetime Average Density (SAD) cosmological measures

    SciTech Connect (OSTI)

    Page, Don N.

    2014-11-01

    The measure problem of cosmology is how to obtain normalized probabilities of observations from the quantum state of the universe. This is particularly a problem when eternal inflation leads to a universe of unbounded size so that there are apparently infinitely many realizations or occurrences of observations of each of many different kinds or types, making the ratios ambiguous. There is also the danger of domination by Boltzmann Brains. Here two new Spacetime Average Density (SAD) measures are proposed, Maximal Average Density (MAD) and Biased Average Density (BAD), for getting a finite number of observation occurrences by using properties of the Spacetime Average Density (SAD) of observation occurrences to restrict to finite regions of spacetimes that have a preferred beginning or bounce hypersurface. These measures avoid Boltzmann brain domination and appear to give results consistent with other observations that are problematic for other widely used measures, such as the observation of a positive cosmological constant.

  20. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, Matthew

    2013-11-01

    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.

  1. Reynolds-Averaged Navier-Stokes

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

    Reynolds-Averaged Navier-Stokes simulation of the heave performance of a two-body floating-point absorber wave energy system Yi-Hsiang Yu, Ye Li ⇑ National Wind Technology Center, National Renewable Energy Laboratory (NREL), Golden, CO 80401, USA a r t i c l e i n f o Article history: Received 7 September 2011 Received in revised form 5 August 2012 Accepted 9 October 2012 Available online 17 October 2012 Keywords: Wave energy conversion Heave Computational Fluid Dynamics Reynolds-averaged

  2. New applications for high average power beams

    SciTech Connect (OSTI)

    Neau, E.L.; Turman, B.N.; Patterson, E.L.

    1993-08-01

    The technology base formed by the development of high peak power simulators, laser drivers, FEL`s, and ICF drivers from the early 60`s through the late 80`s is being extended to high average power short-pulse machines with the capabilities of supporting new types of manufacturing processes and performing new roles in environmental cleanup applications. This paper discusses a process for identifying and developing possible commercial applications, specifically those requiring very high average power levels of hundreds of kilowatts to perhaps megawatts. The authors discuss specific technology requirements and give examples of application development efforts. The application development work is directed at areas that can possibly benefit from the high specific energies attainable with short pulse machines.

  3. Average and effective Q-values for fission product average (n,2n) and

    Office of Scientific and Technical Information (OSTI)

    (n,3n) reaction cross sections (Technical Report) | SciTech Connect Technical Report: Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Citation Details In-Document Search Title: Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Authors: Kawano, Toshihiko [1] + Show Author Affiliations Los Alamos National Laboratory (LANL), Los Alamos, NM (United States) Publication Date: 2015-10-01 OSTI

  4. Table 1. Real Average Transportation and Delivered Costs of Coal...

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

    Real Average Transportation and Delivered Costs of Coal, By Year and Primary Transport Mode" "Year","Average Transportation Cost of Coal (Dollars per Ton)","Average Delivered Cost...

  5. A Green's function quantum average atom model

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

    Starrett, Charles Edward

    2015-05-21

    A quantum average atom model is reformulated using Green's functions. This allows integrals along the real energy axis to be deformed into the complex plane. The advantage being that sharp features such as resonances and bound states are broadened by a Lorentzian with a half-width chosen for numerical convenience. An implementation of this method therefore avoids numerically challenging resonance tracking and the search for weakly bound states, without changing the physical content or results of the model. A straightforward implementation results in up to a factor of 5 speed-up relative to an optimized orbital based code.

  6. Analytical Formulation for Sizing and Estimating the Dimensions and Weight of Wind Turbine Hub and Drivetrain Components

    SciTech Connect (OSTI)

    Guo, Y.; Parsons, T.; King, R.; Dykes, K.; Veers, P.

    2015-06-09

    This report summarizes the theory, verification, and validation of a new sizing tool for wind turbine drivetrain components, the Drivetrain Systems Engineering (DriveSE) tool. DriveSE calculates the dimensions and mass properties of the hub, main shaft, main bearing(s), gearbox, bedplate, transformer if up-tower, and yaw system. The level of fi¬ delity for each component varies depending on whether semiempirical parametric or physics-based models are used. The physics-based models have internal iteration schemes based on system constraints and design criteria. Every model is validated against available industry data or finite-element analysis. The verification and validation results show that the models reasonably capture primary drivers for the sizing and design of major drivetrain components.

  7. Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema (OSTI)

    Patel, Kamlesh D [Ken]; SNL,

    2013-01-25

    Kamlesh (Ken) Patel from Sandia National Laboratories (Livermore, California) presents "Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology " at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  8. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress...

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

    70: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 The Corporate Average Fuel ...

  9. High Average Brightness Photocathode Development for FEL Applications...

    Office of Scientific and Technical Information (OSTI)

    Conference: High Average Brightness Photocathode Development for FEL Applications Citation Details In-Document Search Title: High Average Brightness Photocathode Development for...

  10. ARM: Temperature Profiles from Raman Lidar at 60-min averaging...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: ARM: Temperature Profiles from Raman Lidar at 60-min averaging interval Temperature Profiles from Raman Lidar at 60-min averaging ...

  11. ARM: Temperature Profiles from Raman Lidar at 10-min averaging...

    Office of Scientific and Technical Information (OSTI)

    Temperature Profiles from Raman Lidar at 10-min averaging interval Title: ARM: Temperature Profiles from Raman Lidar at 10-min averaging interval Temperature Profiles from Raman ...

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

    Broader source: Energy.gov [DOE]

    In 2011 the average used light vehicle price was 36% higher than in 1990, while the average new light vehicle price was 67% higher than it was in 1990. The average price of a used vehicle had been...

  13. Evaluation of WRF predicted near hub-height winds and ramp events over a Pacific Northwest site with complex terrain

    SciTech Connect (OSTI)

    Yang, Qing; Berg, Larry K.; Pekour, Mikhail S.; Fast, Jerome D.; Newsom, Rob K.; Stoelinga, Mark; Finley, Cathy

    2013-08-16

    The WRF model version 3.3 is used to simulate near hub-height winds and power ramps utilizing three commonly used planetary boundary-layer (PBL) schemes: Mellor-Yamada-Janji? (MYJ), University of Washington (UW), and Yonsei University (YSU). The predicted winds have small mean biases compared with observations. Power ramps and step changes (changes within an hour) consistently show that the UW scheme performed better in predicting up ramps under stable conditions with higher prediction accuracy and capture rates. Both YSU and UW scheme show good performance predicting up- and down- ramps under unstable conditions with YSU being slightly better for ramp durations longer than an hour. MYJ is the most successful simulating down-ramps under stable conditions. The high wind speed and large shear associated with low-level jets are frequently associated with power ramps, and the biases in predicted low-level jet explain some of the shown differences in ramp predictions among different PBL schemes. Low-level jets were observed as low as ~200 m in altitude over the Columbia Basin Wind Energy Study (CBWES) site, located in an area of complex terrain. The shear, low-level peak wind speeds, as well as the height of maximum wind speed are not well predicted. Model simulations with 3 PBL schemes show the largest variability among them under stable conditions.

  14. Appendix A: Reference case

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

    DC, September 2013). 2011 and 2012 natural gas spot price at Henry Hub: Thomson Reuters. 2011 and 2012 electric power prices: EIA, Electric Power Monthly, DOEEIA-0226,...

  15. Natural Gas Weekly Update, Printer-Friendly Version

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

    normal temperatures, prices moved down at most major markets last week. (See Temperature Map) (See Deviation from Normal Temperatures Map) At the Henry Hub, the spot market...

  16. Natural Gas Weekly Update

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

    normal temperatures, prices moved down at most major markets last week. (See Temperature Map) (See Deviation from Normal Temperatures Map) At the Henry Hub, the spot market...

  17. Natural Gas Weekly Update

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

    decline gradually last week as markets returned to relatively normal operation. (See Temperature Map) (See Deviation from Normal Temperatures Map) At the Henry Hub, the spot market...

  18. Natural Gas Weekly Update, Printer-Friendly Version

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

    decline gradually last week as markets returned to relatively normal operation. (See Temperature Map) (See Deviation from Normal Temperatures Map) At the Henry Hub, the spot market...

  19. Other facts

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

    Henry Hub natural gas price and NYMEX 95% confidence intervals January 2007 - December 2008 Short-Term Energy Outlook 1 Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2007 $0 $5 $10 $15 $20 $25 $30 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 2 Past Henry Hub Price and 95% NYMEX Confidence Interval, February 2007 $0 $5 $10 $15 $20 $25 $30 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 3 Past Henry Hub Price and 95% NYMEX Confidence Interval, March 2007 $0 $5 $10 $15 $20 $25 $30 Jan-07

  20. Recent Trends in Natural Gas Spot Prices

    Reports and Publications (EIA)

    1997-01-01

    This article focuses primarily on conditions and developments in the East Consuming Region and their connection to prices at the Henry Hub in the Producing Region.

  1. Relationship Between Crude Oil and Natural Gas Prices, The

    Reports and Publications (EIA)

    2006-01-01

    This paper examines the time series econometric relationship between the Henry Hub natural gas price and the West Texas Intermediate (WTI) crude oil price.

  2. Analysis of Price Volatility in Natural Gas Markets

    Reports and Publications (EIA)

    2007-01-01

    This article presents an analysis of price volatility in the spot natural gas market, with particular emphasis on the Henry Hub in Louisiana.

  3. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    19, 2001 Last week, the NYMEX futures contract price for December delivery at the Henry Hub continued the generally downward trend that began in late October. The contract...

  4. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    Market Trends). NYMEX Natural Gas Futures Near-Month Contract Settlement Price, West Texas Intermediate Crude Oil Spot Price, and Henry Hub Natural Gas Spot Price Graph More...

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

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

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

  6. 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...

  7. Fact #889: September 7, 2015 Average Diesel Price Lower than...

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

    9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years Fact 889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First ...

  8. 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...

  9. Fact #835: August 25, 2014 Average Annual Gasoline Pump Price...

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

    35: Average Annual Gasoline Pump Price, 1929-2013 File fotw835web.xlsx More Documents & Publications Fact 915: March 7, 2016 Average Historical Annual Gasoline Pump Price, ...

  10. Energy Efficient Buildings Hub

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

    ... Industrial Development Corporation Princeton University Project Based Learning, Inc. ... Diagnostics (Subtask 4.3) Lighting Human-Machine Interface (Subtask 4.4) Power Flow ...

  11. Solar Data Hub (Presentation)

    SciTech Connect (OSTI)

    Orwig, K.

    2011-04-01

    As power grid integration of renewables becomes ever more important and detailed, the need for a centralized place for solar-related resource data is needed. This presentation describes such a place and website.

  12. Hub Overview | JCESR

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

    sources onto the grid as well as broader applications of energy storage to enhance grid reliability. ... of materials architectures and structure in energy storage charge transfer ...

  13. Critical Materials Hub

    Broader source: Energy.gov [DOE]

    Critical materials, including some rare earth elements that possess unique magnetic, catalytic, and luminescent properties, are key resources needed to manufacture products for the clean energy economy. These materials are so critical to the technologies that enable wind turbines, solar panels, electric vehicles, and energy-efficient lighting that DOE's 2010 and 2011 Critical Materials Strategy reported that supply challenges for five rare earth metals—dysprosium, neodymium, terbium, europium, and yttrium—could affect clean energy technology deployment in the coming years.1, 2

  14. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    Science and industry work together to improve energy efficiency and reduce carbon emissions of both new and existing buildings while also stimulating private investment and quality job creation.

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

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

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

  16. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities...

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

    Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","22016","1151985" ,"Release Date:","4292016" ,"Next Release Date:","5312016" ,"Excel File ...

  17. Table 4. Average value of photovoltaic modules, 2003-2013

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

    Average value of photovoltaic modules, 2003-2013" "(dollars per peak watt)" ... Administration, Form EIA-63B, 'Annual Photovoltaic CellModule Shipments Report.' Note: ...

  18. Table 2. Value and average value of photovoltaic module shipments...

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

    Value and average value of photovoltaic module shipments, 2013" "Module value, total ... Administration, Form EIA-63B, 'Annual Photovoltaic CellModule Shipments Report' Note: ...

  19. High Average Brightness Photocathode Development for FEL Applications...

    Office of Scientific and Technical Information (OSTI)

    Title: High Average Brightness Photocathode Development for FEL Applications Authors: Rao T. ; Ben-Zvi I. ; Skarita, J. ; Wang, E. Publication Date: 2013-08-26 OSTI Identifier: ...

  20. "Table 2. Real Average Annual Coal Transportation Costs, By Primary...

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

    Real Average Annual Coal Transportation Costs, By Primary Transport Mode and Supply Region" "(2013 dollars per ton)" "Coal Supply Region",2008,2009,2010,2011,2012,2013 "Railroad"...

  1. Turning Bayesian model averaging into Bayesian model combination...

    Office of Scientific and Technical Information (OSTI)

    Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James 1 ; Monteith, Kristine 2 ; Seppi, Kevin 2 ; Martinez, Tony 2 + Show Author ...

  2. Annual average efficiency of a solar thermochemical reactor. (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Annual average efficiency of a solar thermochemical reactor. Citation Details In-Document Search Title: Annual average efficiency of a solar thermochemical reactor. Abstract not provided. Authors: Ermanoski, Ivan ; Siegel, Nathan Phillip Publication Date: 2013-06-01 OSTI Identifier: 1143854 Report Number(s): SAND2013-5257C 456746

  3. Fact #803: November 11, 2013 Average Number of Transmission Gears...

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

    Average Number of Gears for New Light Vehicles, Model Years 1979-2012 Model Year Average Number of Gears 1979 3.3 1980 3.5 1981 3.5 1982 3.6 1983 3.7 1984 3.7 1985 3.8 1986 3.8 ...

  4. ,"Selected National Average Natural Gas Prices"

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

    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","3/2016","01/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2015,"06/30/1922" ,"Release

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

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

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

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

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

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

  7. Average summer electric power bills expected to be lowest in...

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

    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, ...

  8. Fact #693: September 19, 2011 Average Vehicle Footprint for Cars...

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

    Fact 693: September 19, 2011 Average Vehicle Footprint for Cars and Light Trucks A vehicle footprint is the area defined by the four points where the tires touch the ground. It is ...

  9. U.S. Natural Gas Average Consumption per Industrial Consumer...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  10. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump...

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

    Average Historical Annual Gasoline Pump Price, 1929-2015 File fotw915web.xlsx More Documents & Publications Fact 888: August 31, 2015 Historical Gas Prices - Dataset Fact 835: ...

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

    Open Energy Info (EERE)

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

  12. "Table A25 Average Prices of Selected Purchased Energy Sources...

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

    Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and ....015,"W",7.25,2.434,6.685,"W",1.1 33,"Primary Metal Industries",10.178,2.172,5.835,2...

  13. "Table A25. Average Prices of Selected Purchased Energy Sources...

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

    . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and ...044,"W",1.006,2.507,0.576,"W",1.1 33,"Primary Metal Industries",0.035,0.325,0.809,2....

  14. 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.

  15. Averaged null energy condition violation in a conformally flat spacetime

    SciTech Connect (OSTI)

    Urban, Douglas; Olum, Ken D.

    2010-01-15

    We show that the averaged null energy condition can be violated by a conformally coupled scalar field in a conformally flat spacetime in 3+1 dimensions. The violation is dependent on the quantum state and can be made as large as desired. It does not arise from the presence of anomalies, although anomalous violations are also possible. Since all geodesics in conformally flat spacetimes are achronal, the achronal averaged null energy condition is likewise violated.

  16. 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 Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Sep-15 Oct-15 Nov-15 Dec-15

  17. High average power scaleable thin-disk laser

    DOE Patents [OSTI]

    Beach, Raymond J.; Honea, Eric C.; Bibeau, Camille; Payne, Stephen A.; Powell, Howard; Krupke, William F.; Sutton, Steven B.

    2002-01-01

    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.

  18. Turning Bayesian model averaging into Bayesian model combination

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Turning Bayesian model averaging into Bayesian model combination Citation Details In-Document Search Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James [1] ; Monteith, Kristine [2] ; Seppi, Kevin [2] ; Martinez, Tony [2] + Show Author Affiliations Los Alamos National Laboratory BYU Publication Date: 2011-07-28 OSTI Identifier: 1084524 Report Number(s): LA-UR-11-04419; LA-UR-11-4419 DOE Contract Number: AC52-06NA25396

  19. Analysis of alternative modifications for reducing backwater flooding at the Honey Creek coal strip-mine reclamation site in Henry County, Missouri. Water Resources Investigation

    SciTech Connect (OSTI)

    Alexander, T.W.

    1990-01-01

    Studies to determine the hydrologic conditions in mined and reclaimed mine areas, as well as areas of proposed mining, have become necessary with the enactment of the Surface Mining Control and Reclamation Act of 1977. Honey Creek in Henry County, Missouri, has been re-routed to flow through a series of former strip mining pits which lie within the Honey Creek coal strip mine reclamation site. During intense or long duration rainfalls within the Honey Creek basin, surface runoff has caused flooding on agricultural land near the upstream boundary of the reclamation site. The calculated existing design discharge (3,050 cubic feet per second) water-surface profile is compared to the expected water-surface profiles from three assumed alternative channel modifcations within the Honey Creek study area. The alternative channel modifications used in these analyses include (1) improvement of channel bottom slope, (2) relocation of spoil material, and (3) improved by-pass channel flow conditions. The alternative 1, 2, and 3 design discharge increase will reduce the agricultural field current (1990) frequency of backwater flooding from a 3-year to a 6.5-year event.

  20. SmartGrid: Quarterly Data Summaries from the Data Hub and SmartGrid Project Information (from OpenEI and SmartGrid.gov)

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

    Both OpenEI and SmartGrid.gov are DOE portals to a wealth of information about the federal initiatives that support the development of the technologies, policies and projects transforming the electric power industry. Projects funded through the U.S. Recovery Act are organized by type and pinned to an interactive map at http://en.openei.org/wiki/Gateway:Smart_Grid. Each project title links to more detailed information. The Quarterly Data Summaries from the Data Hub at SmartGrid.gov are also available on OpenEI at http://en.openei.org/datasets/node/928. In addition, the SmartGrid Information Center contains documents and reports that can be searched or browsed. Smart Grid Resources introduces international SmartGrid programs and sites, while OpenEI encourages users to add SmartGrid information to the repository.

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

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

    Commercial Consumers by Local Distribution and Market 9.45 15.81 11.72 12.09 9.45 8.76 1989-2016 Commercial Average Price 8.91 8.02 7.57 7.93 6.88 6.67

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

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

    Local Distribution Companies 12.20 2006-2010 Marketers 13.51 2006-2010 Percent Sold by Local Distribution Companies 81.7 2006-2010 Commercial Average Price 9.87 10.29 10.00 10.06 ...

  3. Florida Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 17.85 2006-2010 Marketers 19.44 2006-2010 Percent Sold by Local Distribution Companies 97.9 2006-2010 Commercial Average Price 10.60 11.14 10.41 10.87 ...

  4. New Jersey Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 12.77 2006-2010 Marketers 14.87 2006-2010 Percent Sold by Local Distribution Companies 96.6 2006-2010 Commercial Average Price 10.11 9.51 8.50 9.55 ...

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

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

    Commercial Average Price 8.95 9.14 8.35 7.82 8.28 7.49 1967-2015 Local Distribution Companies 10.00 2006-2010 Marketers 7.61 2006-2010 Percent Sold by Local Distribution Companies ...

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

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

    Local Distribution Companies 12.64 2006-2010 Marketers 13.64 2006-2010 Percent Sold by Local Distribution Companies 90.9 2006-2010 Commercial Average Price 9.55 9.69 8.77 8.83 9.17 ...

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

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

    Local Distribution Companies 12.82 2006-2010 Marketers 13.78 2006-2010 Percent Sold by Local Distribution Companies 91.2 2006-2010 Commercial Average Price 10.47 10.42 10.24 10.11 ...

  8. Speckle averaging system for laser raster-scan image projection

    DOE Patents [OSTI]

    Tiszauer, D.H.; Hackel, L.A.

    1998-03-17

    The viewers` perception of laser speckle in a laser-scanned image projection system is modified or eliminated by the addition of an optical deflection system that effectively presents a new speckle realization at each point on the viewing screen to each viewer for every scan across the field. The speckle averaging is accomplished without introduction of spurious imaging artifacts. 5 figs.

  9. Speckle averaging system for laser raster-scan image projection

    DOE Patents [OSTI]

    Tiszauer, Detlev H.; Hackel, Lloyd A.

    1998-03-17

    The viewers' perception of laser speckle in a laser-scanned image projection system is modified or eliminated by the addition of an optical deflection system that effectively presents a new speckle realization at each point on the viewing screen to each viewer for every scan across the field. The speckle averaging is accomplished without introduction of spurious imaging artifacts.

  10. Florida Average Price of Natural Gas Delivered to Residential and

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

    Commercial Consumers by Local Distribution and Markete 4.41 23.37 21.56 19.15 16.78 16.00 1989-2016 Commercial Average Price 11.15 10.61 10.69 10.89 10.70 10.62

  11. Georgia Average Price of Natural Gas Delivered to Residential and

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

    Commercial Consumers by Local Distribution and Markete 5.75 20.43 15.20 14.41 10.79 10.94 1989-2016 Commercial Average Price 9.38 8.65 9.72 7.80 6.57 7.05

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

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

    Commercial Consumers by Local Distribution and Ma 8.32 NA 10.56 9.85 8.75 8.64 1989-2016 Commercial Average Price 11.10 NA 8.27 8.13 7.19 7.44

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

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

    Commercial Consumers by Local Distribution and Market 9.39 13.51 12.72 13.12 9.95 9.46 1989-2016 Commercial Average Price 11.11 9.98 9.56 10.44 NA 8.18

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

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

    Commercial Consumers by Local Distribution and Market 3.21 8.93 7.84 7.55 7.25 7.58 1989-2016 Commercial Average Price 9.05 7.46 6.75 6.59 6.50 6.64

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

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Conventional, Average 1.785 1.759 1.601 1.472 1.346 1.210 1994-2016 Conventional Regular 1.743 1.721 1.562 1.431 1.305 1.169 ...

  16. Parity-violating anomalies and the stationarity of stochastic averages

    SciTech Connect (OSTI)

    Reuter, M.

    1988-01-15

    Within the framework of stochastic quantization the parity-violating anomalies in odd space-time dimensions are derived from the asymptotic stationarity of the stochastic average of a certain fermion bilinear. Contrary to earlier attempts, this method yields the correct anomalies for both massive and massless fermions.

  17. Fact #671: April 18, 2011 Average Truck Speeds | Department of...

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

    speed between peak traffic times and non-peak hours can be as much as 1.5 mph (I-45) or as little as 0.2 mph (I-81). Map of the U.S. showing the highway system and the average ...

  18. Modeling an Application's Theoretical Minimum and Average Transactional Response Times

    SciTech Connect (OSTI)

    Paiz, Mary Rose

    2015-04-01

    The theoretical minimum transactional response time of an application serves as a ba- sis for the expected response time. The lower threshold for the minimum response time represents the minimum amount of time that the application should take to complete a transaction. Knowing the lower threshold is beneficial in detecting anomalies that are re- sults of unsuccessful transactions. On the converse, when an application's response time falls above an upper threshold, there is likely an anomaly in the application that is causing unusual performance issues in the transaction. This report explains how the non-stationary Generalized Extreme Value distribution is used to estimate the lower threshold of an ap- plication's daily minimum transactional response time. It also explains how the seasonal Autoregressive Integrated Moving Average time series model is used to estimate the upper threshold for an application's average transactional response time.

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

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

    Administration Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and

  20. 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" " 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

  1. Average dynamics of a finite set of coupled phase oscillators

    SciTech Connect (OSTI)

    Dima, Germán C. Mindlin, Gabriel B.

    2014-06-15

    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.

  2. Averaging cross section data so we can fit it

    SciTech Connect (OSTI)

    Brown, D.

    2014-10-23

    The 56Fe cross section we are interested in have a lot of fluctuations. We would like to fit the average of the cross section with cross sections calculated within EMPIRE. EMPIRE is a Hauser-Feshbach theory based nuclear reaction code, requires cross sections to be smoothed using a Lorentzian profile. The plan is to fit EMPIRE to these cross sections in the fast region (say above 500 keV).

  3. Predictive RANS simulations via Bayesian Model-Scenario Averaging

    SciTech Connect (OSTI)

    Edeling, W.N.; Cinnella, P.; Dwight, R.P.

    2014-10-15

    The turbulence closure model is the dominant source of error in most Reynolds-Averaged Navier–Stokes simulations, yet no reliable estimators for this error component currently exist. Here we develop a stochastic, a posteriori error estimate, calibrated to specific classes of flow. It is based on variability in model closure coefficients across multiple flow scenarios, for multiple closure models. The variability is estimated using Bayesian calibration against experimental data for each scenario, and Bayesian Model-Scenario Averaging (BMSA) is used to collate the resulting posteriors, to obtain a stochastic estimate of a Quantity of Interest (QoI) in an unmeasured (prediction) scenario. The scenario probabilities in BMSA are chosen using a sensor which automatically weights those scenarios in the calibration set which are similar to the prediction scenario. The methodology is applied to the class of turbulent boundary-layers subject to various pressure gradients. For all considered prediction scenarios the standard-deviation of the stochastic estimate is consistent with the measurement ground truth. Furthermore, the mean of the estimate is more consistently accurate than the individual model predictions.

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

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1984-06-01

    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)

  5. U.S. Conventional, Average Refiner Gasoline Prices

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

    1.785 1.759 1.601 1.472 1.346 1.210 1994-2016 Through Retail Outlets 1.786 1.760 1.602 1.471 1.345 1.209 1994-2016 Sales for Resale, Average 1.553 1.513 1.373 1.290 1.117 0.998 1994-2016 DTW 1.812 1.637 1.591 1.532 1.337 1.161 1994-2016 Rack 1.559 1.519 1.372 1.288 1.109 0.994 1994-2016 Bulk 1.449 1.413 1.326 1.254 1.137 0.991

  6. U.S. Reformulated, Average Refiner Gasoline Prices

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

    2.155 2.007 1.905 1.840 1.790 1.553 1994-2016 Through Retail Outlets 2.157 2.008 1.907 1.841 1.792 1.554 1994-2016 Sales for Resale, Average 1.728 1.651 1.537 1.497 1.331 1.143 1994-2016 DTW 2.128 1.979 1.864 1.854 1.796 1.471 1994-2016 Rack 1.634 1.577 1.459 1.412 1.221 1.066 1994-2016 Bulk 1.645 1.566 1.524 1.456 1.307 1.074

  7. Gauge and averaging in gravitational self-force

    SciTech Connect (OSTI)

    Gralla, Samuel E.

    2011-10-15

    A difficulty with previous treatments of the gravitational self-force is that an explicit formula for the force is available only in a particular gauge (Lorenz gauge), where the force in other gauges must be found through a transformation law once the Lorenz-gauge force is known. For a class of gauges satisfying a 'parity condition' ensuring that the Hamiltonian center of mass of the particle is well-defined, I show that the gravitational self-force is always given by the angle average of the bare gravitational force. To derive this result I replace the computational strategy of previous work with a new approach, wherein the form of the force is first fixed up to a gauge-invariant piece by simple manipulations, and then that piece is determined by working in a gauge designed specifically to simplify the computation. This offers significant computational savings over the Lorenz gauge, since the Hadamard expansion is avoided entirely and the metric perturbation takes a very simple form. I also show that the rest mass of the particle does not evolve due to first-order self-force effects. Finally, I consider the 'mode sum regularization' scheme for computing the self-force in black hole background spacetimes, and use the angle-average form of the force to show that the same mode-by-mode subtraction may be performed in all parity-regular gauges. It appears plausible that suitably modified versions of the Regge-Wheeler and radiation gauges (convenient to Schwarzschild and Kerr, respectively) are in this class.

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

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

    a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 6.80 6.80 6.90 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 7.20 7.20 7.30 7.30 7.40 7.50 7.60 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

  9. Ensemble bayesian model averaging using markov chain Monte Carlo sampling

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Diks, Cees G H; Clark, Martyn P

    2008-01-01

    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.

  10. High average power magnetic modulator for copper lasers

    SciTech Connect (OSTI)

    Cook, E.G.; Ball, D.G.; Birx, D.L.; Branum, J.D.; Peluso, S.E.; Langford, M.D.; Speer, R.D.; Sullivan, J.R.; Woods, P.G.

    1991-06-14

    Magnetic compression circuits show the promise of long life for operation at high average powers and high repetition rates. When the Atomic Vapor Laser Isotope Separation (AVLIS) Program at Lawrence Livermore National Laboratory needed new modulators to drive their higher power copper lasers in the Laser Demonstration Facility (LDF), existing technology using thyratron switched capacitor inversion circuits did not meet the goal for long lifetimes at the required power levels. We have demonstrated that magnetic compression circuits can achieve this goal. Improving thyratron lifetime is achieved by increasing the thyratron conduction time, thereby reducing the effect of cathode depletion. This paper describes a three stage magnetic modulator designed to provide a 60 kV pulse to a copper laser at a 4. 5 kHz repetition rate. This modulator operates at 34 kW input power and has exhibited MTBF of {approx}1000 hours when using thyratrons and even longer MTBFs with a series of stack of SCRs for the main switch. Within this paper, the electrical and mechanical designs for the magnetic compression circuits are discussed as are the important performance parameters of lifetime and jitter. Ancillary circuits such as the charge circuit and reset circuit are shown. 8 refs., 5 figs., 1 tab.

  11. Microsoft Word - 2011_sp_01.docx

    Gasoline and Diesel Fuel Update (EIA)

    09 - December 2010 Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2009 $18 $20 $12 $14 $16 $8 $10 $12 $2 $4 $6 $0 $2 Jan Jul Jan Jul Jan Jul Jan Jul 1 2008 2008 2009 2009 2010 2010 2011 2011 Past Henry Hub Price and 95% NYMEX Confidence Interval, February 2009 $18 $20 $12 $14 $16 $8 $10 $12 $2 $4 $6 $0 $2 Jan Jul Jan Jul Jan Jul Jan Jul 2 2008 2008 2009 2009 2010 2010 2011 2011 Past Henry Hub Price and 95% NYMEX Confidence Interval, March 2009 $18 $20 $12 $14 $16 $8 $10 $12 $2

  12. Register Now for April 12-13 Workshop on Improving Data Management for

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

    Regions for Select Spot Prices The following day-ahead natural gas and electricity prices, as reported by SNL Energy, are used to represent the following regions: Region Gas Point Used Power Point Used New England Algonquin Citygate Massachusetts Hub (ISONE) New York City Transco Zone 6-NY NYC Zone J (NYISO) Mid-Atlantic TETCO-M3 Western Hub (PJM) Midwest Chicago Citygate Illinois Hub (MISO) Louisiana Henry Hub Entergy (SNL index) Houston Houston Ship Channel Houston Zone (SNL index) Southwest

  13. High Impact Technology Hub- Results

    Broader source: Energy.gov [DOE]

    Highlights, outcomes and activities to support the adoption of High Impact Technologies.  Technology Highlights preview early results from current technology demonstrations.  Case Studies overview...

  14. Signed Quality Assurance Hub Memo

    Office of Environmental Management (EM)

    ... Schassburger, Director, Oakland Projects Office Bryan Bower, Director, West Valley Demonstration Project Office (WVDP) Donald Metzler, Director, Moab Federal Project Office (MOAB)

  15. natgas weekly

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

    East through the weekend had prices on both the spot and futures markets at the Henry Hub rising more than 0.20 per MMBtu between days after midweek. By Thursday, the futures...

  16. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    of futures contracts for delivery during the 2003-2004 heating season months continue to trade at a premium to the Henry Hub spot price, which provides suppliers some incentive to...

  17. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    2 years. Prices: The Henry Hub spot price on Friday was 1.69 per MMBtu according to Reuters News Service, which is the lowest price since March 1999. The daily settlement price...

  18. --No Title--

    Gasoline and Diesel Fuel Update (EIA)

    Harbor was the equivalent of 5.36 and 5.48 per MMBtu, respectively, according to Reuters News Service. The comparable prices for natural gas were 4.25 (Henry Hub, Louisiana)...

  19. Microsoft PowerPoint - uncertainty_past_hh.ppt [Compatibility...

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

    Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2015 0 1 2 3 4 5 6 7 8 9 10 Jan 2014 Jul 2014 Jan 2015 Jul 2015 Jan 2016 Jul 2016 Jan 2017 Jul 2017 2 ...

  20. Natural Gas Weekly Update

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

    0, 2001 Prices in both spot and futures markets rose last week. For the week, spot prices at the Henry Hub increased by 25 cents from the previous Friday to 3.23 per MMBtu-an...

  1. Natural Gas Weekly Update, Printer-Friendly Version

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

    February 7, 2008 Next release: February 14, 2008 Since Wednesday, January 30, natural gas spot prices decreased at most markets in the Lower 48 States. Prices at the Henry Hub...

  2. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    February 7, 2008 Next release: February 14, 2008 Since Wednesday, January 30, natural gas spot prices decreased at most markets in the Lower 48 States. Prices at the Henry Hub...

  3. Microsoft Word - Emergency Report Jan 08 2014.docx

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

    and New England For questions or comments about this report, please contact M. Tyson Brown at Michael.Brown@eia.gov. Day-ahead spot natural gas prices in NY, NE, and Henry Hub...

  4. Microsoft Word - Emergency Report Jan 09 2014.docx

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

    and New England For questions or comments about this report, please contact M. Tyson Brown at Michael.Brown@eia.gov. Day-ahead spot natural gas prices in NY, NE, and Henry Hub...

  5. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    prices rose between 15 and 30 cents per million Btu at the Southern California border, PG&E citygates, the Henry Hub, and the New York and Chicago citygates before...

  6. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    Price, West Texas Intermediate Crude Oil Spot Price, and Henry Hub Natural Gas Spot Price Graph More Summary Data Prices Prices increased at all trading locations during the week,...

  7. Natural Gas Weekly Update

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

    Price, West Texas Intermediate Crude Oil Spot Price, and Henry Hub Natural Gas Spot Price Graph More Summary Data Prices Prices increased at all trading locations during the week,...

  8. Natural Gas Weekly Update

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

    What Consumers Should Know An Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices at the Henry Hub Overview of U.S. Legislation and...

  9. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    seemed sufficient to avoid the price declines. The NYMEX futures contract for June delivery at the Henry Hub expired yesterday (May 29) at 3.42 per MMBtu. The spot price for...

  10. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    demand for gas, which spurred the price hikes. The NYMEX futures contract for July delivery at the Henry Hub expired yesterday (June 26) at 3.278 per MMBtu, falling over 17...

  11. U.S. Energy Information Administration (EIA)

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

    The Henry Hub day-ahead price remained below 2.00 per MMBtu for the entire week, dropping to 1.82 per MMBtu on Friday before rising steadily to close the week yesterday at...

  12. Natural Gas Weekly Update, Printer-Friendly Version

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

    in the production regions generally fell between 2 and 7 cents per MMBtu. After dropping to 2.82 per MMBtu on Monday, the spot price at the Henry Hub gained 16 cents in the...

  13. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    at the Henry Hub expired on Wednesday, August 29, at 2.295 per million Btu after dropping a little over 50 cents from the previous Friday price. This final settlement price...

  14. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    lower Mississippi River flooding likely sent prices up temporarily at nearly all domestic pricing points over the week but the gains failed to stick. The Henry Hub price lost a...

  15. Natural Gas Weekly Update

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

    lower Mississippi River flooding likely sent prices up temporarily at nearly all domestic pricing points over the week but the gains failed to stick. The Henry Hub price lost a...

  16. EIA Energy Information Administration

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

    monitored for this report was above normal only 1 of 7 days (see graph). Despite the cold front, the spot price at the Henry Hub ended Friday at 5.05 per MMBtu, down 0.42...

  17. EIA Energy Information Administration

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

    Even with this period of cold weather, prices on the spot market behaved in a similar fashion as the futures contract. During this period, the spot price at the Henry Hub moved...

  18. Natural Gas Weekly Update

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

    prices posted modest net gains at most market locations across the lower 48 States. The Henry Hub spot price increased from 3.54 per million Btu (MMBtu) last Wednesday, October...

  19. Natural Gas Weekly Update, Printer-Friendly Version

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

    with increases ranging between 49 and 95 cents per million Btu (MMBtu). Prices at the Henry Hub climbed by 75 cents per MMBtu, or about 20 percent, to 4.42 per MMBtu. At the New...

  20. Natural Gas Weekly Update

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

    in trading yesterday (June 11) in response to moderating temperatures. Prices at the Henry Hub increased 32 cents per million Btu (MMBtu), or about 3 percent, to 12.49 per...

  1. Natural Gas Weekly Update

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

    the Gulf of Mexico producing region. For the week (Wednesday-Wednesday), prices at the Henry Hub decreased 5 cents or about 1 percent to 4.45 per MMBtu. Prices climbed in most...

  2. Natural Gas Weekly Update

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

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub decreased 24 cents or about 4 percent to 6.05 per MMBtu. Yesterday (June 30), the...

  3. Natural Gas Weekly Update

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

    48 States during this week (Wednesday-Wednesday, November 24 to December 1). At the Henry Hub, the spot gas price gained 1.82 per MMBtu on the week to trade at 6.77 yesterday...

  4. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    demand ebbed during the report week, prices declined across the lower 48 States. The Henry Hub spot price ended trading yesterday, March 24, at 4.02 per million Btu (MMBtu), a...

  5. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    at most market locations. For the week, (Wednesday-Wednesday, March 30-April 6), the Henry Hub spot price increased by 29 cents per MMBtu, or 4 percent, to 7.46. Similarly, the...

  6. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    declines at some market locations. For the week (Wednesday-Wednesday), prices at the Henry Hub fell 21 cents or roughly 6 percent to 3.12 per MMBtu. Price drops at most...

  7. Natural Gas Weekly Update

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

    to the effects of Hurricane Ivan. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 43 cents, or about 8 percent, to 5.59 per MMBtu. Yesterday (September...

  8. Natural Gas Weekly Update

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

    Map) (See Deviation from Normal Temperatures Map) The spot market price at the Henry Hub in Louisiana ended the week down 62 cents at 2.15 per MMBtu. On the NYMEX futures...

  9. Natural Gas Weekly Update

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

    and the approaching Hurricane Rita. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 3.45, or about 32 percent, to 14.25 per MMBtu. Yesterday (September...

  10. Natural Gas Weekly Update

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

    decreases during yesterday's trading. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 62 cents, or about 10 percent, to 7.10 per MMBtu. Yesterday (March 15),...

  11. Natural Gas Weekly Update

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

    just above the 3.00 mark during the week ended August 10, 2001, as the price at the Henry Hub in Louisiana varied between 3.14 and 2.98 per million Btu. Net injections of...

  12. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    between 29 and 77 cents per MMBtu. For the week (Wednesday-Wednesday), prices at the Henry Hub decreased 40 cents or roughly 9 percent to 3.93 per MMBtu. The price of the NYMEX...

  13. Natural Gas Weekly Update

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

    with the largest decreases generally occurring in the western half of the country. The Henry Hub spot price decreased by 0.34 to 3.02 per million Btu (MMBtu). At the New York...

  14. Natural Gas Weekly Update

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

    between 5 and 14 cents per MMBtu on Wednesday, June 26. For the week, prices at the Henry Hub increased 19 cents to 3.42 per MMBtu, which is an increase of almost 6 percent....

  15. Natural Gas Weekly Update

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

    Update until January 2, 2002. Overview: Monday, December 17, 2001 The spot price at the Henry Hub finished the trading week on December 14 at 2.41 per MMBtu, roughly 30 cents or...

  16. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    coast and as far south as Florida. During the report week (November 24-December 1), the Henry Hub spot price increased 0.39 to 4.21 per million Btu (MMBtu). At the New York...

  17. Natural Gas Weekly Update

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

    Lower 48 States in trading on June 4. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 70 cents or about 12 percent to 6.41 per MMBtu. The price of the NYMEX...

  18. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    States, with decreases exceeding 1 per MMBtu at most markets. Trading resumed at the Henry Hub on Friday, October 7, for the first time since Friday, September 22, when prices...

  19. Natural Gas Weekly Update

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

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub fell 6 cents or 2 percent to 2.98 per MMBtu. Notable exceptions to the general...

  20. Natural Gas Weekly Update

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

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub declined 86 cents, or about 11 percent, to 7.26 per MMBtu. Yesterday (November...

  1. Natural Gas Weekly Update

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

    natural gas spot prices fell at most market locations in the Lower 48 States, with the Henry Hub spot price falling to 3.56 per million Btu (MMBtu), about a 7 percent decline...

  2. Natural Gas Weekly Update

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

    in the Lower 48 States outside the Rocky Mountains and Northeast regions. Prices at the Henry Hub declined 65 cents per MMBtu, or 9 percent, since Wednesday, June 20, to 6.74 per...

  3. Natural Gas Weekly Update

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

    14, 2005. For the week (Wednesday - Wednesday, April 13 to 20), the spot price at the Henry Hub increased 3 cents, less than one-half percent, to 7.10 per MMBtu. The price of...

  4. Natural Gas Weekly Update

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

    modest 0.50-0.60. On the week (Wednesday, November 26-Wednesday, December 3), the Henry Hub spot price rose 0.59 per MMBtu to 5.45, closing above 5 for the first time...

  5. Natural Gas Weekly Update

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

    between 10 and 50 cents per MMBtu. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 19 cents or roughly 5 percent to 4.10 per MMBtu. The price of the NYMEX...

  6. Natural Gas Weekly Update

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

    48 States since Wednesday, April 5. On the week (Wednesday-Wednesday, April 5-12), the Henry Hub spot price dropped 9 cents per MMBtu, or about 1.3 percent, to 6.79. At the New...

  7. Natural Gas Weekly Update

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

    week's gas markets. As of Friday, May 11, 2001, the spot price of natural gas at the Henry Hub dropped 0.24 from the previous Friday to 4.25 per MMBtu. The NYMEX price of...

  8. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    in trading yesterday (June 11) in response to moderating temperatures. Prices at the Henry Hub increased 32 cents per million Btu (MMBtu), or about 3 percent, to 12.49 per...

  9. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    natural gas spot prices fell at most market locations in the Lower 48 States, with the Henry Hub spot price falling to 3.56 per million Btu (MMBtu), about a 7 percent decline...

  10. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub edged up 1 cent, to 7.40 per MMBtu. Yesterday (June 22), the price of the NYMEX...

  11. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    48 States in trading on June 25. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 10 cents or about 2 percent to 5.64 per MMBtu. The price of the NYMEX...

  12. Natural Gas Weekly Update

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

    between 2 and 14 cents per MMBtu on Wednesday, May 29. For the week, prices at the Henry Hub declined 9 cents to 3.29 per MMBtu, which is a decrease of almost 3 percent....

  13. Natural Gas Weekly Update

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

    in the Lower 48 States since Wednesday, July 2. On the week (Wednesday-Wednesday), the Henry Hub spot price climbed 51 cents to 5.56 per MMBtu, while spot prices in the Northeast...

  14. Natural Gas Weekly Update

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

    ranging between 11 and 36 cents per MMBtu over the previous Friday. Prices at the Henry Hub climbed 18 cents per MMBtu from the previous Friday to trade at 2.99. On the...

  15. Natural Gas Weekly Update

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

    the Lower 48 States outside the Rocky Mountains and Midcontinent regions. Prices at the Henry Hub climbed 18 cents per MMBtu, or 2 percent, since Wednesday, May 23, to 7.71 per...

  16. Natural Gas Weekly Update

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

    Deviation Map). After beginning the week down on Monday, October 8, spot prices at the Henry Hub climbed through Thursday before dropping 10 cents on Friday, October 12, to end...

  17. Natural Gas Weekly Update

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

    48 States in trading on July 30. For the week (Wednesday-Wednesday), prices at the Henry Hub decreased 19 cents or about 4 percent to 4.69 per MMBtu. The price of the NYMEX...

  18. Natural Gas Weekly Update

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

    prices have generally decreased for the week (Wednesday-Wednesday, February 2-9). The Henry Hub natural gas spot price fell 18 cents, or about 3 percent, while prices at most...

  19. Natural Gas Weekly Update

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

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub decreased 9 cents or about 1 percent to 6.56 per MMBtu. Prices declined in most...

  20. Natural Gas Weekly Update

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

    prices continued to trade at near record high levels. For the week, the price at the Henry Hub decreased 0.76 per MMBtu, or about 13 percent, to 5.28. At the New York...

  1. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    midweek, as nearly every major market location showed Friday-to-Friday gains. At the Henry Hub, the spot price gained 36 cents from the previous Friday to end the week at 2.11...

  2. Natural Gas Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    November 26, 2001 The spot price at the Henry Hub finished the abbreviated trading week on Wednesday, November 21 at 1.91 per MMBtu, roughly 22 cents or 13 percent over the...

  3. Natural Gas Weekly Update

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

    18 with sharp decreases that reversed gains from earlier in the week. Prices at the Henry Hub declined 2 cents per MMBtu compared with the previous Friday. On the NYMEX, the...

  4. Natural Gas Weekly Update

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

    of an early arrival of winter. For the week (Wednesday-Wednesday), prices at the Henry Hub increased 64 cents, or about 11 percent, to 6.23 per MMBtu. Yesterday (September...

  5. Natural Gas Weekly Update

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

    locations in the Lower 48 States. For the week (Wednesday-Wednesday), prices at the Henry Hub increased by about 14 percent to 6.71 per MMBtu. Yesterday (July 26), the price...

  6. Natural Gas Weekly Update, Printer-Friendly Version

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

    at markets in the Rocky Mountains and the Midcontinent. During the report week, the Henry Hub spot price decreased 0.15 to 4.76 per million Btu (MMBtu). At the New York...

  7. Natural Gas Weekly Update

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

    prices showed modest gains for the week (Wednesday to Wednesday, July 30-August 6). The Henry Hub spot price gained a nickel on the week, ending trading yesterday (Wednesday,...

  8. Natural Gas Weekly Update

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

    1, 2002 Lingering low temperatures last week prompted spot prices at the Henry Hub to start the week up sharply gaining 19 cents to trade on Monday at 2.68 per MMBtu. Prices then...

  9. Natural Gas Weekly Update

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

    Wednesday, February 4. On the week (Wednesday, February 4-Wednesday, February 11), the Henry Hub spot price dropped 39 cents per MMBtu to 5.35. The NYMEX futures contract for...

  10. Natural Gas Weekly Update

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

    26, 2006. For the week (Wednesday, April 26 to Wednesday, May 3), the spot price at the Henry Hub decreased 62 cents, or about 9 percent, to 6.56 per MMBtu. The price of the NYMEX...

  11. Natural Gas Weekly Update

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

    locations in the Lower 48 States, while declining at selected markets. Prices at the Henry Hub declined a penny since Wednesday, March 28, to 7.46 per MMBtu. At the NYMEX, the...

  12. Natural Gas Weekly Update

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

    (Wednesday-Wednesday), prices at the Henry Hub were virtually unchanged, climbing 1 cent, to 7.11 per MMBtu. Yesterday (April 27), the price of the NYMEX futures contract for...

  13. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    (Wednesday-Wednesday), prices at the Henry Hub were virtually unchanged, climbing 1 cent, to 7.11 per MMBtu. Yesterday (April 27), the price of the NYMEX futures contract for...

  14. Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An

    Reports and Publications (EIA)

    2005-01-01

    This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

  15. Natural Gas Weekly Update

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

    Map) (See Deviation from Normal Temperatures Map) prices at the Henry Hub spot market moved down late in the week, falling to 3.06 per MMBtu on Friday. Net injections...

  16. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    Map) (See Deviation from Normal Temperatures Map) prices at the Henry Hub spot market moved down late in the week, falling to 3.06 per MMBtu on Friday. Net injections...

  17. Microsoft PowerPoint - uncertainty_hh_2011_2012.ppt [Compatibility...

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

    11 - December 2012 Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2011 10 12 8 10 4 6 2 4 0 Jan Jul Jan Jul Jan Jul Jan Jul 1 2010 2010 2011 2011 2012 ...

  18. Microsoft PowerPoint - uncertainty_hh_2013_2014.ppt [Compatibility...

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

    3 - December 2014 Short-Term Energy Outlook 1 Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2013 0 1 2 3 4 5 6 7 8 9 10 Jan 2012 Jul 2012 Jan 2013 Jul ...

  19. Microsoft PowerPoint - uncertainty_hh_2009_2010.ppt [Compatibility...

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

    09 - December 2010 Past Henry Hub Price and 95% NYMEX Confidence Interval, January 2009 18 20 12 14 16 8 10 12 2 4 6 0 2 Jan Jul Jan Jul Jan Jul Jan Jul 1 2008 2008 ...

  20. U.S. diesel prices decrease Â… U.S. average still over $4

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

    U.S. diesel prices decrease - U.S. average still over 4 The U.S. average retail price for ... Diesel prices were highest in the New England region and Central Atlantic states at 4.31 a ...

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

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

    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 ...

  2. 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...

  3. Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets

    SciTech Connect (OSTI)

    Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

    2005-06-30

    The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

  4. ,"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" " 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

  5. ,"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" " 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

  6. ,"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" " 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

  7. ,"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" " 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"

  8. ,"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" " 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

  9. ,"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" " 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"

  10. ,"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" " 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"

  11. ,"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" " 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"

  12. RFnFIVED

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

    Price Volatility in Price Volatility in Natural Gas Markets Natural Gas Markets Presented to: Energy Information Administration's 2008 Energy Conference April 8, 2008 Presented by: Erin Mastrangelo (Former EIA Industry Economist) ekmastrangelo@gmail.com Agenda Agenda * Overview of prices and volatility * What is volatility? * Trends * Drivers of volatility * Some empirical results * Implications and Conclusions Henry Hub Spot Price: 1994 Henry Hub Spot Price: 1994 - - 2007 2007 Source: NGI's

  13. ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Title: ARM: 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages 1290-MHz Beam-Steered Radar Wind Profiler: Wind and Moment Averages Authors: Timothy Martin ; Paytsar Muradyan ; Richard Coulter Publication Date: 2012-12-06 OSTI Identifier: 1095573 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM)

  14. Time-averaged quantum dynamics and the validity of the effective

    Office of Scientific and Technical Information (OSTI)

    Hamiltonian model (Journal Article) | SciTech Connect Time-averaged quantum dynamics and the validity of the effective Hamiltonian model Citation Details In-Document Search Title: Time-averaged quantum dynamics and the validity of the effective Hamiltonian model We develop a technique for finding the dynamical evolution in time of an averaged density matrix. The result is an equation of evolution that includes an effective Hamiltonian, as well as decoherence terms in Lindblad form. Applying

  15. Average U.S. household to spend $710 less on gasoline during 2015

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

    Average U.S. household to spend $710 less on gasoline during 2015 Even with the recent increases in gasoline prices, the average U.S. household is still expected save $710 in gasoline costs this year compared with what was paid at the pump in 2014. In its new monthly forecast, the U.S. Energy Information Administration said the national average price for regular gasoline is expected to be $2.39 per gallon this year. That's almost $1 less than the $3.36 average in 2014. Lower crude oil prices

  16. Gasoline price to average below $2 in 2016 for first time in 12 years

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

    Gasoline price to average below $2 in 2016 for first time in 12 years The annual average price for U.S. regular-grade gasoline is expected to fall below $2 per gallon this year for the first time since 2004. In its new monthly forecast, the U.S. Energy Information Administration said drivers will pay on average $1.98 per gallon to fill up at the pump with regular-grade gasoline. EIA expects the monthly average price of gasoline to reach a seven-year low of $1.82 per gallon in February, before

  17. Table 7.4 Average Prices of Selected Purchased Energy Sources...

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

    4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " ...

  18. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price,

    Energy Savers [EERE]

    1929-2015 - Dataset | Department of Energy 5: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Excel file and dataset for Average Historical Annual Gasoline Pump Price, 1929-2015 File fotw#915_web.xlsx More Documents & Publications Fact #835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Fact #888: August 31, 2015 Historical Gas Prices -

  19. Plan averaging for multicriteria navigation of sliding window IMRT and VMAT

    SciTech Connect (OSTI)

    Craft, David Papp, Dávid; Unkelbach, Jan

    2014-02-15

    Purpose: To describe a method for combining sliding window plans [intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT)] for use in treatment plan averaging, which is needed for Pareto surface navigation based multicriteria treatment planning. Methods: The authors show that by taking an appropriately defined average of leaf trajectories of sliding window plans, the authors obtain a sliding window plan whose fluence map is the exact average of the fluence maps corresponding to the initial plans. In the case of static-beam IMRT, this also implies that the dose distribution of the averaged plan is the exact dosimetric average of the initial plans. In VMAT delivery, the dose distribution of the averaged plan is a close approximation of the dosimetric average of the initial plans. Results: The authors demonstrate the method on three Pareto optimal VMAT plans created for a demanding paraspinal case, where the tumor surrounds the spinal cord. The results show that the leaf averaged plans yield dose distributions that approximate the dosimetric averages of the precomputed Pareto optimal plans well. Conclusions: The proposed method enables the navigation of deliverable Pareto optimal plans directly, i.e., interactive multicriteria exploration of deliverable sliding window IMRT and VMAT plans, eliminating the need for a sequencing step after navigation and hence the dose degradation that is caused by such a sequencing step.

  20. Natural Gas and Crude Oil Prices in AEO (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01

    If oil and natural gas were perfect substitutes in all markets where they are used, market forces would be expected to drive their delivered prices to near equality on an energy-equivalent basis. The price of West Texas Intermediate (WTI) crude oil generally is denominated in terms of barrels, where 1 barrel has an energy content of approximately 5.8 million Btu. The price of natural gas (at the Henry Hub), in contrast, generally is denominated in million Btu. Thus, if the market prices of the two fuels were equal on the basis of their energy contents, the ratio of the crude oil price (the spot price for WTI, or low-sulfur light, crude oil) to the natural gas price (the Henry Hub spot price) would be approximately 6.0. From 1990 through 2007, however, the ratio of natural gas prices to crude oil prices averaged 8.6; and in the Annual Energy Outlook 2009 projections from 2008 through 2030, it averages 7.7 in the low oil price case, 14.6 in the reference case, and 20.2 in the high oil price case.

  1. U.S. diesel prices decrease Â… U.S. average still over $4

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

    U.S. diesel prices decrease - U.S. average still over 4 The U.S. average retail price for ... Diesel prices were highest in the New England region at 4.39 a gallon, up 3-tenths of a ...

  2. U.S. diesel prices increase Â… U.S. average still over $4

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

    U.S. diesel prices increase - U.S. average still over 4 The U.S. average retail price for ... Diesel prices were highest in the New England region at 4.36 a gallon, down 2.7 cents from ...

  3. A comparison of spatial averaging and Cadzow's method for array wavenumber estimation

    SciTech Connect (OSTI)

    Harris, D.B.; Clark, G.A.

    1989-10-31

    We are concerned with resolving superimposed, correlated seismic waves with small-aperture arrays. The limited time-bandwidth product of transient seismic signals complicates the task. We examine the use of MUSIC and Cadzow's ML estimator with and without subarray averaging for resolution potential. A case study with real data favors the MUSIC algorithm and a multiple event covariance averaging scheme.

  4. Flowmeter for determining average rate of flow of liquid in a conduit

    Office of Scientific and Technical Information (OSTI)

    (Patent) | SciTech Connect Patent: Flowmeter for determining average rate of flow of liquid in a conduit Citation Details In-Document Search Title: Flowmeter for determining average rate of flow of liquid in a conduit This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and

  5. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price,

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

    1929-2015 | Department of Energy 915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 SUBSCRIBE to the Fact of the Week When adjusted for inflation, the average annual price of gasoline has fluctuated greatly, and has recently experienced sharp increases and decreases. The effect of the U.S. embargo of oil from Iran can be seen in the early 1980's with the price of gasoline peaking in

  6. Average U.S. household to spend $710 less on gasoline during 2015

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

    drivers to see big savings at the gasoline pump this summer U.S. consumers are expected to pay the lowest average price for gasoline in six years during this summer's driving season, mostly because of lower crude oil costs. In its new forecast, the U.S. Energy Information Administration said the price for regular gasoline should average $2.45 per gallon this summer. That's down more than a dollar from the $3.59 per gallon seen last summer, and the cheapest average summer pump price since 2009.

  7. Average household expected to save $675 at the pump in 2015

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

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

  8. Diesel prices continue to increase Â… U.S. average over $4

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

    Diesel prices continue to increase - U.S. average over $4 The U.S. average retail price for on-highway diesel fuel broke the 4-dollar mark for the first time since last March. The U.S. retail average rose to $4.02 a gallon. That's up 2.8 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region at 4.39 a gallon, up 1.3 cents from a week ago. Prices were lowest in the Gulf Coast states at 3.81 a

  9. Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for

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

    Energy Historical Gas Prices File fotw#888_web.xlsx More Documents & Publications Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Fact #835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Response to several FOIA requests - Renewable Energy. the First Time in Six Years - Dataset | Department of Energy

    Average Diesel Price Lower than Gasoline for the First Time in Six Years File fotw#889_web.xlsx More Documents

  10. 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...

  11. U.S. gasoline price expected to average less than $2 a gallon...

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

    In its latest monthly forecast, the U.S. Energy Information Administration said low oil prices will keep the average annual price for a gallon of regular-grade gasoline at 1.89 ...

  12. 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...

  13. U.S. average gasoline and diesel fuel prices expected to be slightly...

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

    average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012 ... Diesel fuel will continue to cost more than gasoline because of strong global demand for ...

  14. Computation of Domain-Averaged Irradiance with a Simple Two-Stream...

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

    is then assumed that the domain averaged irradiance F at the bottom of two layers is , Fd ) C exp( ) , ; ( P C 1 F 0 0 0 u where P is a gamma distribution expressing the...

  15. 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...

  16. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014

    Broader source: Energy.gov [DOE]

    The Corporate Average Fuel Economy (CAFE) is the sales-weighted harmonic mean fuel economy of a manufacturer’s fleet of new cars or light trucks in a certain model year (MY). First enacted by...

  17. Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner...

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

    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 ...

  18. Time-averaged quantum dynamics and the validity of the effective...

    Office of Scientific and Technical Information (OSTI)

    We develop a technique for finding the dynamical evolution in time of an averaged density matrix. The result is an equation of evolution that includes an effective Hamiltonian, as ...

  19. Variation in the annual average radon concentration measured in homes in Mesa County, Colorado

    SciTech Connect (OSTI)

    Rood, A.S.; George, J.L.; Langner, G.H. Jr.

    1990-04-01

    The purpose of this study is to examine the variability in the annual average indoor radon concentration. The TMC has been collecting annual average radon data for the past 5 years in 33 residential structures in Mesa County, Colorado. This report is an interim report that presents the data collected up to the present. Currently, the plans are to continue this study in the future. 62 refs., 3 figs., 12 tabs.

  20. "Table HC1.1.3 Housing Unit Characteristics by Average Floorspace--"

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

    3 Housing Unit Characteristics by Average Floorspace--" " Single-Family Housing Units and Mobile Homes, 2005" ,,"Single- Family and Mobile Homes (millions)","Average Square Feet per Housing Unit-- Single-Family and Mobile Homes" ," Housing Units (millions)" ,,,"Single-Family Detached",,,"Single-Family Attached",,,"Mobile Homes" "Housing Unit

  1. "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--" " 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

  2. Revision of the Branch Technical Position on Concentration Averaging and Encapsulation - 12510

    SciTech Connect (OSTI)

    Heath, Maurice; Kennedy, James E.; Ridge, Christianne; Lowman, Donald [U.S. NRC, Washington, DC, 20555-0001 (United States); Cochran, John [Sandia National Laboratory (United States)

    2012-07-01

    The U.S. Nuclear Regulatory Commission (NRC) regulation governing low-level waste (LLW) disposal, 'Licensing Requirements for Land Disposal of Radioactive Waste', 10 CFR Part 61, establishes a waste classification system based on the concentration of specific radionuclides contained in the waste. The regulation also states, at 10 CFR 61.55(a)(8), that, 'the concentration of a radionuclide (in waste) may be averaged over the volume of the waste, or weight of the waste if the units are expressed as nanocuries per gram'. The NRC's Branch Technical Position on Concentration Averaging and Encapsulation provides guidance on averaging radionuclide concentrations in waste under 10 CFR 61.55(a)(8) when classifying waste for disposal. In 2007, the NRC staff proposed to revise the Branch Technical Position on Concentration Averaging and Encapsulation. The Branch Technical Position on Concentration Averaging and Encapsulation is an NRC guidance document for averaging and classifying wastes under 10 CFR 61. The Branch Technical Position on Concentration Averaging and Encapsulation is used by nuclear power plants (NPPs) licensees and sealed source users, among others. In addition, three of the four U.S. LLW disposal facility operators are required to honor the Branch Technical Position on Concentration Averaging and Encapsulation as a licensing condition. In 2010, the Commission directed the staff to develop guidance regarding large scale blending of similar homogenous waste types, as described in SECY-10-0043 as part of its Branch Technical Position on Concentration Averaging and Encapsulation revision. The Commission is improving the regulatory approach used in the Branch Technical Position on Concentration Averaging and Encapsulation by moving towards a making it more risk-informed and performance-based approach, which is more consistent with the agency's regulatory policies. Among the improvements to the Branch Technical Position on Concentration Averaging and Encapsulation are more risk-informed limits for the sizes of sealed sources for safe disposal. Using more realistic intruder exposure scenarios, the suggested limits for Class B and C waste disposal of sealed sources, particularly Cs-137 and Co-60, have been increased. These suggested changes, and others in the Branch Technical Position on Concentration Averaging and Encapsulation, if adopted by Agreement States, have the potential to eliminate numerous orphan sources (i.e., sources that currently have no disposal pathway) that are now being stored. Permanent disposal of these sources, rather than temporary storage, will help reduce safety and security risks. The revised Branch Technical Position on Concentration Averaging and Encapsulation has an alternative approach section which provides flexibility to generators and processors, while also ensuring that intruder protection will be maintained. Alternative approaches provide flexibility by allowing for consideration of likelihood of intrusion, the possibility of averaging over larger volumes and allowing for disposal of large activity sources. The revision has improved the organization of the Branch Technical Position on Concentration Averaging and Encapsulation, improved its clarity, better documented the bases for positions, and made the positions more risk informed while also maintaining protection for intruder as required by 10 CFR Part 61. (authors)

  3. Influence of wind speed averaging on estimates of dimethylsulfide emission fluxes

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

    Chapman, E. G.; Shaw, W. J.; Easter, R. C.; Bian, X.; Ghan, S. J.

    2002-12-03

    The effect of various wind-speed-averaging periods on calculated DMS emission fluxes is quantitatively assessed. Here, a global climate model and an emission flux module were run in stand-alone mode for a full year. Twenty-minute instantaneous surface wind speeds and related variables generated by the climate model were archived, and corresponding 1-hour-, 6-hour-, daily-, and monthly-averaged quantities calculated. These various time-averaged, model-derived quantities were used as inputs in the emission flux module, and DMS emissions were calculated using two expressions for the mass transfer velocity commonly used in atmospheric models. Results indicate that the time period selected for averaging wind speedsmore » can affect the magnitude of calculated DMS emission fluxes. A number of individual marine cells within the global grid show DMS emissions fluxes that are 10-60% higher when emissions are calculated using 20-minute instantaneous model time step winds rather than monthly-averaged wind speeds, and at some locations the differences exceed 200%. Many of these cells are located in the southern hemisphere where anthropogenic sulfur emissions are low and changes in oceanic DMS emissions may significantly affect calculated aerosol concentrations and aerosol radiative forcing.« less

  4. Average M shell fluorescence yields for elements with 70?Z?92

    SciTech Connect (OSTI)

    Kahoul, A.; Deghfel, B.; Aylikci, V.; Aylikci, N. K.; Nekkab, M.

    2015-03-30

    The theoretical, experimental and analytical methods for the calculation of average M-shell fluorescence yield (?{sup ¯}{sub M}) of different elements are very important because of the large number of their applications in various areas of physical chemistry and medical research. In this paper, the bulk of the average M-shell fluorescence yield measurements reported in the literature, covering the period 1955 to 2005 are interpolated by using an analytical function to deduce the empirical average M-shell fluorescence yield in the atomic range of 70?Z?92. The results were compared with the theoretical and fitted values reported by other authors. Reasonable agreement was typically obtained between our result and other works.

  5. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    SciTech Connect (OSTI)

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

    2010-07-15

    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 two dimensions, and probabilities in the postsaturation region, where the intensity-selective scanning approach breaks down, were recovered. In three dimensions, ionization probabilities of Xe were successfully recovered with MPE from simulated (using the Ammosov-Delone-Krainov tunneling theory) ion yields. Finally, we tested our approach with intensity-resolved benzene-ion yields, which show a resonant multiphoton ionization process. By applying MPE to this data (which were artificially averaged), the resonant structure was recovered, which suggests that the resonance in benzene may have been observed in spatially averaged data taken elsewhere.

  6. Comparison of average and point capillary pressure-saturation functions determined by steady-state centrifugation

    SciTech Connect (OSTI)

    Cropper, Clark; Perfect, Edmund; van den Berg, Dr. Elmer; Mayes, Melanie

    2010-01-01

    The capillary pressure-saturation function can be determined from centrifuge drainage experiments. In soil physics, the data resulting from such experiments are usually analyzed by the 'averaging method.' In this approach, average relative saturation, , is expressed as a function of average capillary pressure, <{psi}>, i.e., (<{psi}>). In contrast, the capillary pressure-saturation function at a physical point, i.e., S({psi}), has been extracted from similar experiments in petrophysics using the 'integral method.' The purpose of this study was to introduce the integral method applied to centrifuge experiments to a soil physics audience and to compare S({psi}) and (<{psi}>) functions, as parameterized by the Brooks-Corey and van Genuchten equations, for 18 samples drawn from a range of porous media (i.e., Berea sandstone, glass beads, and Hanford sediments). Steady-state centrifuge experiments were performed on preconsolidated samples with a URC-628 Ultra-Rock Core centrifuge. The angular velocity and outflow data sets were then analyzed using both the averaging and integral methods. The results show that the averaging method smoothes out the drainage process, yielding less steep capillary pressure-saturation functions relative to the corresponding point-based curves. Maximum deviations in saturation between the two methods ranged from 0.08 to 0.28 and generally occurred at low suctions. These discrepancies can lead to inaccurate predictions of other hydraulic properties such as the relative permeability function. Therefore, we strongly recommend use of the integral method instead of the averaging method when determining the capillary pressure-saturation function by steady-state centrifugation. This method can be successfully implemented using either the van Genuchten or Brooks-Corey functions, although the latter provides a more physically precise description of air entry at a physical point.

  7. Table HC1.1.2 Housing Unit Characteristics by Average Floorspace, 2005

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

    2 Housing Unit Characteristics by Average Floorspace, 2005 " ,,"Average Square Feet per--" ," Housing Units (millions)" ,,"Housing Unit",,,"Household Member" "Housing Unit Characteristics",,"Total1","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,2171,1618,1031,845,630,401 "Census Region and Division" "Northeast",20.6,2334,1664,562,911,649,220

  8. 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" ,,,"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

  9. 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, " " 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

  10. 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" ,,,"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

  11. Flowmeter for determining average rate of flow of liquid in a conduit

    Office of Scientific and Technical Information (OSTI)

    (Patent) | SciTech Connect Patent: Flowmeter for determining average rate of flow of liquid in a conduit Citation Details In-Document Search Title: Flowmeter for determining average rate of flow of liquid in a conduit × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy

  12. Builds in U.S. natural gas storage running above five-year average

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

    Builds in U.S. natural gas storage running above five-year average The amount of natural gas put into underground storage since the beginning of the so-called "injection season" in April has been above the five-year average by a wide margin. In its new forecast, the U.S. Energy Information Administration said natural gas inventories, which are running more than 50% above year ago levels, are on track to reach almost 4 trillion cubic feet by the end of October which marks the start of

  13. Performance and production requirements for the optical components in a high-average-power laser system

    SciTech Connect (OSTI)

    Chow, R.; Doss, F.W.; Taylor, J.R.; Wong, J.N.

    1999-07-02

    Optical components needed for high-average-power lasers, such as those developed for Atomic Vapor Laser Isotope Separation (AVLIS), require high levels of performance and reliability. Over the past two decades, optical component requirements for this purpose have been optimized and performance and reliability have been demonstrated. Many of the optical components that are exposed to the high power laser light affect the quality of the beam as it is transported through the system. The specifications for these optics are described including a few parameters not previously reported and some component manufacturing and testing experience. Key words: High-average-power laser, coating efficiency, absorption, optical components

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

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

    and Commercial Consumers by Local Distributio Area: District of Columbia Florida Georgia Maryland Michigan New Jersey New York Ohio Pennsylvania Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Residential Average Price 13.53 13.06 12.10 12.45 13.05 12.52 1980-2015 Commercial Average Price 12.26 12.24 11.19 11.64 12.18

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

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

    and Commercial Consumers by Local Distributio 18.17 16.21 12.60 10.70 9.96 9.53 1989-2016 Commercial Average Price 11.50 11.68 11.28 10.01 9.50 9.30

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

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

    Average Number of Gears in New Cars and Light Trucks Model Year Gears 1980 3.5 1981 3.5 1982 3.6 1983 3.7 1984 3.7 1985 3.8 1986 3.8 1987 3.9 1988 3.9 1989 3.9 1990 4.0 1991 4.0 ...

  17. New Jersey Average Price of Natural Gas Delivered to Residential and

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

    Commercial Consumers by Local Distribution and Mark 2.38 10.30 9.08 7.85 6.55 6.86 1989-2016 Commercial Average Price 8.03 8.10 8.66 8.24 7.76 7.66

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

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

    Commercial Consumers by Local Distribution and Market 7.53 14.26 12.27 11.42 10.31 9.45 1989-2016 Commercial Average Price 5.99 6.27 6.33 6.82 6.59 6.58

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

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

    Consumers by Local Distribution and Marketers 24.31 15.36 9.68 7.40 6.48 6.44 1989-2016 Commercial Average Price 7.99 6.79 6.03 5.53 5.32 5.30

  20. Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

    SciTech Connect (OSTI)

    Widen, Joakim; Waeckelgaard, Ewa; Paatero, Jukka; Lund, Peter

    2010-03-15

    The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

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

    SciTech Connect (OSTI)

    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

    2007-02-01

    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 2?105???C/cm2 and 200 C, 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.

  2. 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;" " Level: National and Regional Data; " ...,0,0,1.21,0,"W","W",0,0,0,0.46,7.8 331,"Primary Metals",4.17,133.23,3.29,1.42,2.19,1.4,0...

  3. 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;" " Level: National and Regional Data; " ...98,0,0,0,0,0,0,"W",0,0,0,"W",0,1.4 331,"Primary Metals",4.94,0.1,72.69,51.26,102.06,50.5,...

  4. 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;" " Level: National and Regional Data; " ...88,0,0,0,0,0,0,"W",0,0,0,"W",0,1.4 331,"Primary Metals",4.94,68.32,3.67,1.95,4.17,1.92,"...

  5. Averaged Description of Flow (Steady and Transient) and Nonreactive Solute Transport in Random Porous Media

    SciTech Connect (OSTI)

    Schvidler, M.; Karasaki, K.

    2011-06-15

    In previous papers (Shvidler and Karasaki, 1999, 2001, 2005, and 2008) we presented and analyzed an approach for finding the general forms of exactly averaged equations of flow and transport in porous media. We studied systems of basic equations for steady flow with sources in unbounded domains with stochastically homogeneous conductivity fields. A brief analysis of exactly averaged equations of nonsteady flow and nonreactive solute transport was also presented. At the core of this approach is the existence of appropriate random Green's functions. For example, we showed that in the case of a 3-dimensional unbounded domain the existence of appropriate random Green's functions is sufficient for finding the exact nonlocal averaged equations for flow velocity using the operator with a unique kernel-vector. Examination of random fields with global symmetry (isotropy, transversal isotropy and orthotropy) makes it possible to describe significantly different types of averaged equations with nonlocal unique operators. It is evident that the existence of random Green's functions for physical linear processes is equivalent to assuming the existence of some linear random operators for appropriate stochastic equations. If we restricted ourselves to this assumption only, as we have done in this paper, we can study the processes in any dimensional bounded or unbounded fields and in addition, cases in which the random fields of conductivity and porosity are stochastically nonhomogeneous, nonglobally symmetrical, etc.. It is clear that examining more general cases involves significant difficulty and constricts the analysis of structural types for the processes being studied. Nevertheless, we show that we obtain the essential information regarding averaged equations for steady and transient flow, as well as for solute transport.

  6. The Honorable Dale A.,Henry

    Office of Legacy Management (LM)

    Co .,; Springfield, OH Ohio Bureau of Radiologlcal:Health - .?,' P 2 &L+ - > ames W. Wagoner II ' Director Off-SiteSavannah River Division Office of Eastern Area Programs ...

  7. HIGH AVERAGE CURRENT LOW EMITTANCE BEAM EMPLOYING CW NORMAL CONDUCTING GUN.

    SciTech Connect (OSTI)

    CHANG,X.; BEN-ZVI, I.; KEWISCH, J.; PAI, C.

    2007-06-25

    CW normal conducting guns usually do not achieve very high field gradient and waste much RF power at high field gradient compared to superconducting cavities. But they have less trapped modes and wakefields compared to the superconducting cavities due to their low Q. The external bucking coil can also be applied very close to the cathode to improve the beam quality. By using a low frequency gun with a recessed cathode and a carefully designed beam line we can get a high average current and a high quality beam with acceptable RF power loss on the cavity wall. This paper shows that the CW normal conducting gun can be a backup solution for those projects which need high peak and average current, low emittance electron beams such as the Relativistic Heavy Ion Collider (RHIC) e-cooling project and Energy Recovery Linac (Em) project.

  8. Gatling gun: high average polarized current injector for eRHIC

    SciTech Connect (OSTI)

    Litvinenko, V.N.

    2010-01-01

    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.

  9. Coupling of an average-atom model with a collisional-radiative equilibrium model

    SciTech Connect (OSTI)

    Faussurier, G. Blancard, C.; Cossé, P.

    2014-11-15

    We present a method to combine a collisional-radiative equilibrium model and an average-atom model to calculate bound and free electron wavefunctions in hot dense plasmas by taking into account screening. This approach allows us to calculate electrical resistivity and thermal conductivity as well as pressure in non local thermodynamic equilibrium plasmas. Illustrations of the method are presented for dilute titanium plasma.

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

    Office of Environmental Management (EM)

    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

  11. Calculation of variable-base degree-days and degree-nights from monthly average temperatures

    SciTech Connect (OSTI)

    Sonderegger, R.; Cleary, P.; Dickinson, B.

    1985-01-01

    The Computerized Instrumented Residential Audit (CIRA), a micro-computer building energy analysis program developed at Lawrence Berkeley Laboratory, uses a monthly variable-base degree-day method to calculate heating and cooling loads. The method's unique feature is its ability to model thermostat setbacks and storage of solar gain. The program accomplishes this by dividing each day into two periods, ''average day'' (8 a.m. to 8 p.m.) and ''average night'' (8 p.m. to 8 a.m.), with different base temperatures. For each mode (heating or cooling) and for each period (day or night), the program reconstructs degree-days as a function of average monthly day or night temperature using three empirical coefficients specific to the location. A comparison is made between degree-days computed from hourly weather tapes and those predicted using this method. The root mean square error between predicted and actual degree days is typically between 3 and 12 degree-days per month. Tables of the coefficients are given for over 150 locations in the United States, computed from hourly dry-bulb temperatures on TRY and TMY tapes. Seasonal predictions of heating and cooling energy budgets using this method show good correspondence to the DOE-2 hourly simulation method.

  12. Effect of vitrification temperature upon the solar average absorptance properties of Pyromark Series 2500 black paint

    SciTech Connect (OSTI)

    Nelson, C.; Mahoney, A.R.

    1986-06-01

    A significant drop in production efficiency has occurred over time at the Solar One facility at Barstow, California, primarily as a result of the degradation of the Pyromark Series 2500 black paint used as the absorptive coating on the receiver panels. As part of the investigation of the problem, the solar-averaged adsorptance properties of the paint were determined as a function of vitrification temperature, since it is known that a significant amount of the panel surface area at Solar One was vitrified at temperatures below those recommended by the paint manufacturer (540/sup 0/C, 1000/sup 0/F). Painted samples initially vitrified at 230/sup 0/C (450/sup 0/F), 315/sup 0/C (600/sup 0/F), 371/sup 0/C (700/sup 0/F), and 480/sup 0/C (900/sup 0/F) exhibited significantly lower solar-averaged absorptance values (0.02 absorptance units) compared to samples vitrified at 540/sup 0/C (1000/sup 0/F). Thus, Solar One began its service life below optimal levels. After 140 h of thermal aging at 370/sup 0/C (700/sup 0/F) and 540/sup 0/C (1000/sup 0/F), all samples regardless of their initial vitrification temperatures, attained the same solar-averaged absorptance value (..cap alpha../sub s/ = 0.973). Therefore, both the long-term low-temperature vitrification and the short-term high-temperature vitrification can be used to obtain optimal or near-optimal absorptance of solar flux. Futher thermal aging of vitrified samples did not result in paint degradation, clearly indicating that high solar flux is required to produce this phenomenon. The panels at Solar One never achieved optimal absorptance because their exposure to high solar flux negated the effect of long-term low-temperature vitrification during operation. On future central receiver projects, every effort should be made to properly vitrify the Pyromark coating before its exposure to high flux conditions.

  13. Properties of a new average power Nd-doped phosphate laser glass

    SciTech Connect (OSTI)

    Payne, S.A.; Marshall, C.D.; Bayramian, A.J.; Wilke, G.D.; Hayden, J.S.

    1995-03-09

    The Nd-doped phosphate laser glass described herein can withstand 2.3 times greater thermal loading without fracture, compared to APG-1 (commercially-available average-power glass from Schott Glass Technologies). The enhanced thermal loading capability is established on the basis of the intrinsic thermomechanical properties and by direct thermally-induced fracture experiments using Ar-ion laser heating of the samples. This Nd-doped phosphate glass (referred to as APG-t) is found to be characterized by a 29% lower gain cross section and a 25% longer low-concentration emission lifetime.

  14. Laser properties of an improved average-power Nd-doped phosphate glass

    SciTech Connect (OSTI)

    Payne, S.A.; Marshall, C.D.; Bayramian, A.J.

    1995-03-15

    The Nd-doped phosphate laser glass described herein can withstand 2.3 times greater thermal loading without fracture, compared to APG-1 (commercially-available average-power glass from Schott Glass Technologies). The enhanced thermal loading capability is established on the basis of the intrinsic thermomechanical properties (expansion, conduction, fracture toughness, and Young`s modulus), and by direct thermally-induced fracture experiments using Ar-ion laser heating of the samples. This Nd-doped phosphate glass (referred to as APG-t) is found to be characterized by a 29% lower gain cross section and a 25% longer low-concentration emission lifetime.

  15. 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 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

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

    DOE Patents [OSTI]

    Bayramian, Andrew James

    2012-07-31

    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.

  17. Specification of optical components for a high average-power laser environment

    SciTech Connect (OSTI)

    Taylor, J.R.; Chow, R.; Rinmdahl, K.A.; Willis, J.B.; Wong, J.N.

    1997-06-25

    Optical component specifications for the high-average-power lasers and transport system used in the Atomic Vapor Laser Isotope Separation (AVLIS) plant must address demanding system performance requirements. The need for high performance optics has to be balanced against the practical desire to reduce the supply risks of cost and schedule. This is addressed in optical system design, careful planning with the optical industry, demonstration of plant quality parts, qualification of optical suppliers and processes, comprehensive procedures for evaluation and test, and a plan for corrective action.

  18. U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Commercial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 637 665 699 1970's 737 751 777 779 734 730 789 745 784 811 1980's 739 693 696 625 672 634 587 606 647 652 1990's 619 626 636 641 639 654 669 675 595 608 2000's 635 605 621 617 609 577 537 568 579 586 2010's 585 593 540 613 640 - = No Data Reported; -- = Not Applicable; NA =

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

    DOE Patents [OSTI]

    Comaskey, Brian J.; Ault, Earl R.; Kuklo, Thomas C.

    2005-07-05

    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.

  20. 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; 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

  1. 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;" " 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"

  2. Average Price (Cents/kilowatthour) by State by Provider, 1990-2014

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

    Average Price (Cents/kilowatthour) by State by Provider, 1990-2014" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2014,"AK","Total Electric Industry",19.14,17.09,15.66,0,"NA",17.46 2014,"AL","Total Electric Industry",11.48,10.79,6.15,0,"NA",9.27

  3. Average intragranular misorientation trends in polycrystalline materials predicted by a viscoplastic self-consistent approach

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

    Lebensohn, Ricardo A.; Zecevic, Miroslav; Knezevic, Marko; McCabe, Rodney J.

    2015-12-15

    Here, this work presents estimations of average intragranular fluctuations of lattice rotation rates in polycrystalline materials, obtained by means of the viscoplastic self-consistent (VPSC) model. These fluctuations give a tensorial measure of the trend of misorientation developing inside each single crystal grain representing a polycrystalline aggregate. We first report details of the algorithm implemented in the VPSC code to estimate these fluctuations, which are then validated by comparison with corresponding full-field calculations. Next, we present predictions of average intragranular fluctuations of lattice rotation rates for cubic aggregates, which are rationalized by comparison with experimental evidence on annealing textures of fccmore » and bcc polycrystals deformed in tension and compression, respectively, as well as with measured intragranular misorientation distributions in a Cu polycrystal deformed in tension. The orientation-dependent and micromechanically-based estimations of intragranular misorientations that can be derived from the present implementation are necessary to formulate sound sub-models for the prediction of quantitatively accurate deformation textures, grain fragmentation, and recrystallization textures using the VPSC approach.« less

  4. High Impact Technology Hub- Host a Site

    Broader source: Energy.gov [DOE]

    We are always looking for partners to host technology demonstrations.  Host site participants receive recognition by the Department of Energy, site applicability analysis as well as the opportunity...

  5. Hubs+ Report Appendix 1_0.pdf

    Energy Savers [EERE]

  6. High Impact Technology Hub – Resources for Evaluators

    Broader source: Energy.gov [DOE]

    The HIT Catalyst conducts technology demonstrations in three main phases: Site Evaluation, Selection and Project Kick-Off, Measurement and Verification Scoping and Plan Development. The following...

  7. The Hub of Innovation for American Housing

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

    ... Works with the Whole BTO Ecosystem We Need a Roadmap? ... MELsControls Efficient Water Heating IAQ & Ventilation ... Summary Timeline (this cycle): Start date: January 2011 ...

  8. Energy Efficient Buildings Hub | Department of Energy

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

    This model of a renovated historic building -- Building 661 -- in Philadelphia will house ... This model of a renovated historic building -- Building 661 -- in Philadelphia will house ...

  9. The impact of NRC guidance on concentration averaging on low level waste sealed source disposal - 11424

    SciTech Connect (OSTI)

    Whitworth, Julia; Stewart, Bill; Cuthbertson, Abigail

    2011-01-20

    As part of its ongoing efforts to revise the Nuclear Regulatory Commission's (NRC) current position on blending to be risk-informed and performance based and its current review of the low-level waste classification codified in 10 CFR 61.55, the Nuclear Regulatory Commission (NRC) has stated that it may review the 1995 'Branch Technical Position on Concentration Averaging and Encapsulation' (BTP), which is still commonly used today. Such a review will have timely advantages, given the lack of commercial disposal availability within the United States for radioactive sealed sources that are in wide beneficial use across the country. The current application of the BTP guidance has resulted in an effective cap on commercial disposal for sources larger than 1.1 TBq (30 Ci). This paper will analyze how the BTP has been implemented with respect to sealed sources, what the implications have been for commercial disposal availability, and whether alternative packaging configurations could be considered for disposal.

  10. United States Wind Resource Map: Annual Average Wind Speed at 30 Meters

    Wind Powering America (EERE)

    30 m 21-FEB-2012 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http://www.awstruepower.com. Map developed by NREL. Spatial resolution of wind resource data: 2.0 km. Projection: Albers Equal Area WGS84. The average wind speeds indicated on this map are model-derived estimates that may not represent the true wind resource at any given location. Small terrain features, vegetation,

  11. Medium term municipal solid waste generation prediction by autoregressive integrated moving average

    SciTech Connect (OSTI)

    Younes, Mohammad K.; Nopiah, Z. M.; Basri, Noor Ezlin A.; Basri, Hassan

    2014-09-12

    Generally, solid waste handling and management are performed by municipality or local authority. In most of developing countries, local authorities suffer from serious solid waste management (SWM) problems and insufficient data and strategic planning. Thus it is important to develop robust solid waste generation forecasting model. It helps to proper manage the generated solid waste and to develop future plan based on relatively accurate figures. In Malaysia, solid waste generation rate increases rapidly due to the population growth and new consumption trends that characterize the modern life style. This paper aims to develop monthly solid waste forecasting model using Autoregressive Integrated Moving Average (ARIMA), such model is applicable even though there is lack of data and will help the municipality properly establish the annual service plan. The results show that ARIMA (6,1,0) model predicts monthly municipal solid waste generation with root mean square error equals to 0.0952 and the model forecast residuals are within accepted 95% confident interval.

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

    DOE Patents [OSTI]

    Sreepada, Sastry R.; Rippel, Robert R.

    1992-01-01

    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.

  13. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory and

    Gasoline and Diesel Fuel Update (EIA)

    Developmental Wells Drilled (Feet per Well) and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,635 1950's 3,742 3,944 4,132 4,069 4,070 4,101 4,080 4,174 4,118 4,220 1960's 4,213 4,285 4,408 4,405 4,431 4,510 4,478 4,385 4,738 4,881 1970's 4,943 4,858 4,974 5,041 4,662 4,661 4,577 4,708 4,760 4,689

  14. Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements

    SciTech Connect (OSTI)

    Derrien, H

    2004-05-27

    Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

  15. Angular Averaged Profiling of the Radial Electric Field in Compensated FTICR Cells

    SciTech Connect (OSTI)

    Tolmachev, Aleksey V.; Robinson, Errol W.; Wu, Si; Smith, Richard D.; Futrell, Jean H.; Pasa-Tolic, Ljiljana

    2012-05-08

    A recent publication from this laboratory (1) reported a theoretical analysis comparing approaches for creating harmonic ICR cells. We considered two examples of static segmented cells - namely, a seven segment cell developed in this laboratory (2) and one described by Rempel et al (3), along with a recently described dynamically harmonized cell (4). This conceptual design for a dynamically harmonized cell has now been reduced to practice and first experimental results obtained with this cell were recently reported in this journal (5). This publication reports details of cell construction and describes its performance in a 7 Tesla Fourier Transform mass spectrometer. Herein, we describe the extension of theoretical analysis presented in (1) to include angular-averaged radial electric field calculations and a discussion of the influence of trapping plates.

  16. Flowmeter for determining average rate of flow of liquid in a conduit

    DOE Patents [OSTI]

    Kennerly, J.M.; Lindner, G.M.; Rowe, J.C.

    1981-04-30

    This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and a flow vessel which is connected as a segment of the conduit conveying the liquid. The vessel is provided with a valved outlet and is partitioned by a vertical baffle into coaxial chambers whose upper regions are vented to permit the escape of gas. The inner chamber receives turbulent downflowing liquid from the conduit and is sized to operate at a lower pressure than the conduit, thus promoting evolution of gas from the liquid. Lower zones of the two chambers are interconnected so that the downflowing liquid establishes liquid levels in both chambers. The liquid level in the outer chamber is comparatively calm, being to a large extent isolated from the turbulence in the inner chamber once the liquid in the outer chamber has risen above the liquid-introduction zone for that chamber. Lower and upper probes are provided in the outer chamber for sensing the liquid level therein at points above its liquid-introduction zone. An electrical circuit is connected to the probes to display the time required for the liquid level in the outer chamber to successively contact the lower and upper probes. The average rate of flow through the conduit can be determined from the above-mentioned time and the vessel volume filled by the liquid during that time.

  17. 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

  18. Averages of B-Hadron, C-Hadron, and tau-lepton properties as of early 2012

    SciTech Connect (OSTI)

    Amhis, Y.; et al.

    2012-07-01

    This article reports world averages of measurements of b-hadron, c-hadron, and tau-lepton properties obtained by the Heavy Flavor Averaging Group (HFAG) using results available through the end of 2011. In some cases results available in the early part of 2012 are included. For the averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters, CP violation parameters, parameters of semileptonic decays and CKM matrix elements.

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

    SciTech Connect (OSTI)

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

    2006-03-31

    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.

  20. 2014 Total Electric Industry- Average Retail Price (cents/kWh)

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

    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 17.82 14.70 11.84 10.38 15.45 Connecticut 19.75 15.55 12.92 13.08 17.05 Maine 15.27 12.70 8.95 0.00 12.65 Massachusetts 17.39 14.68 12.74 8.76 15.35 New Hampshire 17.53 14.34 11.93 0.00 15.22 Rhode Island 17.17 14.56 12.86 14.89 15.41 Vermont 17.47 14.56 10.23 0.00 14.57 Middle Atlantic 16.39 13.65 7.61 12.28 13.41 New Jersey

  1. Dynamical interpretation of average fission-fragment kinetic energy systematics and nuclear scission

    SciTech Connect (OSTI)

    Nadtochy, P.N. [GSI, Plankstrasse 1, D-64291 Darmstadt (Germany); Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation); Adeev, G.D. [Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation)

    2005-11-01

    A dynamical interpretation of the well-known systematics for average total kinetic energy of fission fragments over a wide range of the Coulomb parameter (600 on the Coulomb parameter. The results of dynamical calculations of within three-dimensional Langevin dynamics show that the mean distance between the centers of mass of nascent fragments at the scission configuration increases linearly with the parameter Z{sup 2}/A{sup 1/3}. This distance changes approximately from 2.35R{sub 0} for {sup 119}Xe to 2.6R{sub 0} for {sup 256}Fm. In spite of this increase in mean distance between future fragments at scission, the linear dependence of on the parameter Z{sup 2}/A{sup 1/3} remains approximately valid over a wide range of the Coulomb parameter Z{sup 2}/A{sup 1/3}.

  2. U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet per Well)

    Gasoline and Diesel Fuel Update (EIA)

    Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 4,232 1950's 4,335 4,609 4,781 4,761 4,740 4,819 4,901 5,036 4,993 5,021 1960's 5,170 5,099 5,124 4,878 5,509 5,672 5,700 5,758 5,914 6,054 1970's 6,247 5,745 5,880 6,243 5,855 5,913 6,010 5,902 6,067 6,011 1980's 5,727 5,853 5,504 5,141 5,565 5,865 6,069 6,104 6,182 6,028 1990's 6,838 6,641 6,930 6,627 6,671

  3. U.S. Average Depth of Crude Oil Exploratory and Developmental Wells Drilled

    Gasoline and Diesel Fuel Update (EIA)

    (Feet per Well) and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,720 1950's 3,893 4,103 4,214 4,033 4,028 3,981 3,942 4,021 3,916 3,935 1960's 3,889 3,994 4,070 4,063 4,042 4,059 4,013 3,825 4,153 4,286 1970's 4,385 4,126 4,330 4,369 3,812 3,943 3,895 4,025 4,017 3,966 1980's 3,801 3,923 3,793 3,662 3,791 3,906 3,999

  4. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental Wells

    Gasoline and Diesel Fuel Update (EIA)

    Drilled (Feet per Well) Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,568 1950's 3,691 3,851 3,999 3,880 3,905 3,904 3,880 3,966 3,907 3,999 1960's 4,020 4,064 4,227 4,193 4,179 4,288 4,112 4,004 4,328 4,431 1970's 4,610 4,480 4,590 4,687 4,249 4,285 4,214 4,404 4,421 4,374 1980's 4,166 4,209 4,225 4,004 4,125

  5. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory Wells

    Gasoline and Diesel Fuel Update (EIA)

    Drilled (Feet per Well) Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,842 1950's 3,898 4,197 4,476 4,557 4,550 4,632 4,587 4,702 4,658 4,795 1960's 4,770 4,953 4,966 5,016 5,174 5,198 5,402 5,388 5,739 5,924 1970's 5,885 5,915 6,015 5,955 5,777 5,842 5,825 5,798 5,978 5,916 1980's 5,733 5,793 5,597 5,035 5,369 5,544 5,680 5,563

  6. U.S. Average Depth of Dry Exploratory and Developmental Wells Drilled (Feet

    Gasoline and Diesel Fuel Update (EIA)

    per Well) Exploratory and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,473 1950's 3,445 3,706 3,983 4,004 4,004 4,161 4,079 4,126 4,110 4,275 1960's 4,248 4,311 4,524 4,552 4,598 4,723 4,573 4,616 5,053 5,195 1970's 5,265 5,305 5,377 5,403 5,191 5,073 5,014 5,120 5,183 5,071 1980's 4,791 4,827 4,691 4,320 4,631 4,733 4,763

  7. U.S. Average Depth of Dry Holes Developmental Wells Drilled (Feet per Well)

    Gasoline and Diesel Fuel Update (EIA)

    Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,225 1950's 3,077 3,255 3,520 3,401 3,512 3,699 3,574 3,605 3,631 3,844 1960's 3,889 3,782 4,239 4,143 4,207 4,446 3,900 3,901 4,311 4,437 1970's 4,714 4,633 4,725 4,851 4,599 4,415 4,439 4,662 4,600 4,517 1980's 4,214 4,226 4,184 3,974 4,205 4,306 4,236 4,390 4,704 4,684 1990's 4,755 4,629

  8. U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet per Well)

    Gasoline and Diesel Fuel Update (EIA)

    Exploratory Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,658 1950's 3,733 4,059 4,334 4,447 4,408 4,498 4,425 4,488 4,449 4,602 1960's 4,575 4,799 4,790 4,933 4,980 5,007 5,117 5,188 5,589 5,739 1970's 5,700 5,796 5,882 5,808 5,649 5,674 5,607 5,605 5,812 5,716 1980's 5,533 5,582 5,367 4,800 5,178 5,317 5,447 5,294 5,748 5,579 1990's 5,685 5,658 5,480

  9. U.S. Average Depth of Natural Gas Developmental Wells Drilled (Feet per

    Gasoline and Diesel Fuel Update (EIA)

    Well) 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 Year-7 Year-8 Year-9 1940's 3,412 1950's 3,766 3,837 4,015 4,373 4,365 4,339 4,734 4,950 4,801 5,120 1960's 5,321 5,145 5,186 5,198 5,171 5,337 5,474 5,629 5,716 5,531 1970's 5,644 5,670 5,259 5,286 5,173 5,238 4,960 5,053 5,066 5,082 1980's 5,093 5,149 5,453 5,187 5,158 5,193 5,080 5,112 5,155 5,038 1990's

  10. U.S. Average Depth of Natural Gas Exploratory Wells Drilled (Feet per Well)

    Gasoline and Diesel Fuel Update (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 Year-9 1940's 5,682 1950's 5,466 5,497 6,071 5,654 6,059 5,964 6,301 6,898 6,657 6,613 1960's 6,298 6,457 6,728 6,370 7,547 7,295 8,321 7,478 7,697 8,092 1970's 7,695 7,649 7,400 6,596 6,456 6,748 6,777 6,625 6,662 6,630 1980's 6,604 6,772 6,921 6,395 6,502 6,787 6,777 6,698 6,683 6,606 1990's 7,100 7,122 6,907 6,482 6,564

  11. U.S. Average Depth of Natural Gas Exploratory and Developmental Wells

    Gasoline and Diesel Fuel Update (EIA)

    Drilled (Feet per Well) and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1940's 3,698 1950's 3,979 4,056 4,342 4,599 4,670 4,672 5,018 5,326 5,106 5,396 1960's 5,486 5,339 5,408 5,368 5,453 5,562 5,928 5,898 5,994 5,918 1970's 5,860 5,890 5,516 5,488 5,387 5,470 5,220 5,254 5,262 5,275 1980's 5,275 5,351 5,617 5,319 5,276

  12. Twist-averaged boundary conditions for nuclear pasta Hartree-Fock calculations

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

    Schuetrumpf, B.; Nazarewicz, W.

    2015-10-21

    Nuclear pasta phases, present in the inner crust of neutron stars, are associated with nucleonic matter at subsaturation densities arranged in regular shapes. Those complex phases, residing in a layer which is approximately 100-m thick, impact many features of neutron stars. Theoretical quantum-mechanical simulations of nuclear pasta are usually carried out in finite three-dimensional boxes assuming periodic boundary conditions. The resulting solutions are affected by spurious finite-size effects. To remove spurious finite-size effects, it is convenient to employ twist-averaged boundary conditions (TABC) used in condensed matter, nuclear matter, and lattice quantum chromodynamics applications. In this work, we study the effectivenessmore » of TABC in the context of pasta phase simulations within nuclear density functional theory. We demonstrated that by applying TABC reliable results can be obtained from calculations performed in relatively small volumes. By studying various contributions to the total energy, we gain insights into pasta phases in mid-density range. Future applications will include the TABC extension of the adaptive multiresolution 3D Hartree-Fock solver and Hartree-Fock-Bogoliubov TABC applications to superfluid pasta phases and complex nucleonic topologies as in fission.« less

  13. Twist-averaged boundary conditions for nuclear pasta Hartree-Fock calculations

    SciTech Connect (OSTI)

    Schuetrumpf, B.; Nazarewicz, W.

    2015-10-21

    Nuclear pasta phases, present in the inner crust of neutron stars, are associated with nucleonic matter at subsaturation densities arranged in regular shapes. Those complex phases, residing in a layer which is approximately 100-m thick, impact many features of neutron stars. Theoretical quantum-mechanical simulations of nuclear pasta are usually carried out in finite three-dimensional boxes assuming periodic boundary conditions. The resulting solutions are affected by spurious finite-size effects. To remove spurious finite-size effects, it is convenient to employ twist-averaged boundary conditions (TABC) used in condensed matter, nuclear matter, and lattice quantum chromodynamics applications. In this work, we study the effectiveness of TABC in the context of pasta phase simulations within nuclear density functional theory. We demonstrated that by applying TABC reliable results can be obtained from calculations performed in relatively small volumes. By studying various contributions to the total energy, we gain insights into pasta phases in mid-density range. Future applications will include the TABC extension of the adaptive multiresolution 3D Hartree-Fock solver and Hartree-Fock-Bogoliubov TABC applications to superfluid pasta phases and complex nucleonic topologies as in fission.

  14. Use of SPMDs to determine average water concentration of polycyclic aromatic hydrocarbons in urban stormwater runoff

    SciTech Connect (OSTI)

    DeVita, W.; Crunkilton, R.

    1995-12-31

    Semipermeable polymeric membrane devices (SPMDS) were deployed for 30 day periods to monitor polycyclic aromatic hydrocarbons (PAHs) in an urban stream which receives much of its flow from urban runoff. SPMDs are capable of effectively sampling several liters of water per day for some PAHs. Unlike conventional methods, SPMDs sample only those non-polar organic contaminants which are truly dissolved and available for bioconcentration. Also, SPMDs may concentrate contaminants from episodic events such as stormwater discharge. The State of Wisconsin has established surface water quality criteria based upon human lifetime cancer risk of 23 ppt for benzo(a)pyrene and 23 ppt as the sum of nine other potentially carcinogenic PAHs. Bulk water samples analyzed by conventional methodology were routinely well above this criteria, but contained particulate bound PAHs as well as PAHs bound by dissolved organic carbon (DOC) which are not available for bioconcentration. Average water concentrations of dissolved PAHs determined using SPMDs were also above this criteria. Variables used for determining water concentration included sampling rate at the exposure temperature, length of exposure and estimation of biofouling of SPMD surface.

  15. Cylinder-averaged histories of nitrogen oxide in a D.I. diesel with simulated turbocharging

    SciTech Connect (OSTI)

    Donahue, R.J.; Borman, G.L.; Bower, G.R.

    1994-10-20

    An experimental study was conducted using the dumping technique (total cylinder sampling) to produce cylinder mass-averaged nitric oxide histories. Data were taken using a four stroke diesel research engine employing a quiescent chamber, high pressure direct ijection fuel system, and simulated turbocharging. Two fuels were used to determine fuel cetane number effects. Two loads were run, one at an equivalence ratio of 0.5 and the other at a ratio of 0.3. The engine speed was held constant at 1500 rpm. Under the turbocharged and retarded timing conditions of this study, nitric oxide was produced up to the point of about 85% mass burned. Two different models were used to simulate the engine mn conditions: the phenomenological Hiroyasu spray-combustion model, and the three dimensional, U.W.-ERO modified KIVA-lI computational fluid dynamic code. Both of the models predicted the correct nitric oxide trend. Although the modified KIVA-lI combustion model using Zeldovich kinetics correctly predicted the shapes of the nitric oxide histories, it did not predict the exhaust concentrations without arbitrary adjustment based on experimental values.

  16. A Comparative Study of the Harmonic and Arithmetic Averaging of Diffusion Coefficients for Non-linear Heat Conduction Problems

    SciTech Connect (OSTI)

    Samet Y. Kadioglu; Robert R. Nourgaliev; Vincent A. Mousseau

    2008-03-01

    We perform a comparative study for the harmonic versus arithmetic averaging of the heat conduction coefficient when solving non-linear heat transfer problems. In literature, the harmonic average is the method of choice, because it is widely believed that the harmonic average is more accurate model. However, our analysis reveals that this is not necessarily true. For instance, we show a case in which the harmonic average is less accurate when a coarser mesh is used. More importantly, we demonstrated that if the boundary layers are finely resolved, then the harmonic and arithmetic averaging techniques are identical in the truncation error sense. Our analysis further reveals that the accuracy of these two techniques depends on how the physical problem is modeled.

  17. A quantitative approach to the characterization of cumulative and average solvent exposure in paint manufacturing plants

    SciTech Connect (OSTI)

    Ford, D.P.; Schwartz, B.S.; Powell, S.; Nelson, T.; Keller, L.; Sides, S.; Agnew, J.; Bolla, K.; Bleecker, M. )

    1991-06-01

    Previous reports have attributed a range of neurobehavioral effects to low-level, occupational solvent exposure. These studies have generally been limited in their exposure assessments and have specifically lacked good estimates of exposure intensity. In the present study, the authors describe the development of two exposure variables that quantitatively integrate industrial hygiene sampling data with estimates of exposure duration--a cumulative exposure (CE) estimate and a lifetime weighted average exposure (LWAE) estimate. Detailed occupational histories were obtained from 187 workers at two paint manufacturing plants. Historic industrial hygiene sampling data for total hydrocarbons (a composite variable of the major neurotoxic solvents present) were grouped according to 20 uniform, temporally stable exposure zones, which had been defined during plant walk-through surveys. Sampling at the time of the study was used to characterize the few zones for which historic data were limited or unavailable. For each participant, the geometric mean total hydrocarbon level for each exposure zone worked in was multiplied by the duration of employment in that zone; the resulting products were summed over the working lifetime to create the CE variable. The CE variable was divided by the total duration of employment in solvent-exposed jobs to create the LWAE variable. The explanatory value of each participant's LWAE estimate in the regression of simple visual reaction time (a neurobehavioral test previously shown to be affected by chronic solvent exposure) on exposure was compared with that of several other exposure variables, including exposure duration and an exposure variable based on an ordinal ranking of the exposure zones.

  18. Does the orbit-averaged theory require a scale separation between periodic orbit size and perturbation correlation length?

    SciTech Connect (OSTI)

    Zhang, Wenlu; Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026; Department of Physics and Astronomy, University of California, Irvine, California 92697 ; Lin, Zhihong; Fusion Simulation Center, Peking University, Beijing 100871

    2013-10-15

    Using the canonical perturbation theory, we show that the orbit-averaged theory only requires a time-scale separation between equilibrium and perturbed motions and verifies the widely accepted notion that orbit averaging effects greatly reduce the microturbulent transport of energetic particles in a tokamak. Therefore, a recent claim [Hauff and Jenko, Phys. Rev. Lett. 102, 075004 (2009); Jenko et al., ibid. 107, 239502 (2011)] stating that the orbit-averaged theory requires a scale separation between equilibrium orbit size and perturbation correlation length is erroneous.

  19. Improved volume-averaged model for steady and pulsed-power electronegative discharges

    SciTech Connect (OSTI)

    Kim, Sungjin; Lieberman, M. A.; Lichtenberg, A. J.; Gudmundsson, J. T.

    2006-11-15

    An improved volume-averaged global model is developed for a cylindrical (radius R, length L) electronegative (EN) plasma that is applicable over a wide range of electron densities, electronegativities, and pressures. It is applied to steady and pulsed-power oxygen discharges. The model incorporates effective volume and surface loss factors for positive ions, negative ions, and electrons combining three electronegative discharge regimes: a two-region regime with a parabolic EN core surrounded by an electropositive edge, a one-region parabolic EN plasma, and a one-region flat-topped EN plasma, spanning the plasma parameters and gas pressures of interest for low pressure processing (below a few hundred millitorr). Pressure-dependent effective volume and surface loss factors are also used for the neutral species. A set of reaction rate coefficients, updated from previous model calculations, is developed for oxygen for the species O{sub 2}, O{sub 2}({sup 1}{delta}{sub g}), O, O{sub 2}{sup +}, O{sup +}, and O{sup -}, based on the latest published cross-section sets and measurements. The model solutions yield all of the quantities above together with such important processing quantities such as the neutral/ion flux ratio {gamma}{sub O}/{gamma}{sub i}, with the discharge aspect ratio 2R/L and pulsed-power period and duty ratio (pulse on-time/pulse period) as parameters. The steady discharge results are compared to an experiment, giving good agreement. For steady discharges, increasing 2R/L from 1 to 6 leads to a factor of 0.45 reduction in {gamma}{sub O}/{gamma}{sub i}. For pulsed discharges with a fixed duty ratio, {gamma}{sub O}/{gamma}{sub i} is found to have a minimum with respect to pulse period. A 25% duty ratio pulse reduces {gamma}{sub O}/{gamma}{sub i} by a factor of 0.75 compared to the steady-state case.

  20. 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...

  1. 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...

  2. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

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

    Annual Energy Outlook Retrospective Review, 2014" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9204312786,45.77777778 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",37.71300779,17.33333333 "Imported Refiner Acquisition Cost of Crude Oil

  3. Horizontal-Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA’s High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.

  4. Horizontal Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.

  5. Natural Gas Futures Prices (NYMEX)

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

    093015 View History Spot Price Henry Hub 2.62 2.62 2.60 2.66 2.57 1997-2015 Futures Prices Contract 1 2.569 2.591 2.564 2.563 2.586 2.524 1994-2015 Contract 2 2.638 2.674 2.631...

  6. Probabilities of Possible Future Prices (Released in the STEO April 2010)

    Reports and Publications (EIA)

    2010-01-01

    The Energy Information Administration introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts portraying confidence intervals around the New York Mercantile Exchange (NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil) and Henry Hub natural gas contracts.

  7. Natural Gas Futures Prices (NYMEX)

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

    Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Spot Price Henry Hub 2.84 2.77 2.66 2.34 2.09 1.93 1997-2015 NGPL Composite 4.73 4.42 4.89 4.95 2009-2015 Futures Prices...

  8. Natural Gas Weekly Update

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

    Friday to 4.12 cents per MMBtu; the Henry Hub, LA, down 0.10 to 4.15; Midcon, OK, down 0.12 to 4.00; and Opal, WY, down 0.84 to 2.47. Prices at the Chicago and New...

  9. Natural Gas Weekly Update, Printer-Friendly Version

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

    to 20 cents per MMBtu with Katy, TX ending at 3.73; the Henry Hub, LA at 3.71; Midcon, OK at 3.53; and Opal, WY at 2.68. A transportation problem from Waha to Katy, Texas, was...

  10. Natural Gas Weekly Update

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

    to 20 cents per MMBtu with Katy, TX ending at 3.73; the Henry Hub, LA at 3.71; Midcon, OK at 3.53; and Opal, WY at 2.68. A transportation problem from Waha to Katy, Texas, was...

  11. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    Friday to 4.12 cents per MMBtu; the Henry Hub, LA, down 0.10 to 4.15; Midcon, OK, down 0.12 to 4.00; and Opal, WY, down 0.84 to 2.47. Prices at the Chicago and New...

  12. Natural Gas Futures Prices (NYMEX)

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

    051016 051116 051216 051316 051616 051716 View History Spot Price Henry Hub 2.01 2.01 2.01 1.96 1.91 1997-2016 Futures Prices Contract 1 2.158 2.173 2.155 2.096 2.029 ...

  13. Average Commercial Price

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

    1.50 11.68 11.28 10.01 9.50 9.30 1989-2016 Florida 11.15 10.61 10.69 10.89 10.70 10.62 1989-2016 Georgia 9.38 8.65 9.72 7.80 6.57 7.05 1989-2016 Maryland 11.11 9.98 9.56 10.44 NA 8.18 1989-2016 Michigan 9.05 7.46 6.75 6.59 6.50 6.64 1989-2016 New Jersey 8.03 8.10 8.66 8.24 7.76 7.66 1989-2016 New York 5.99 6.27 6.33 6.82 6.59 6.58 1989-2016 Ohio 7.99 6.79 6.03 5.53 5.32 5.30 1989-2016 Pennsylvania 11.10 NA 8.27 8.13 7.19 7.44 1989-2016 Virginia 8.91 8.02 7.57 7.93 6.88 6.67

  14. Average Residential Price

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

    8.17 16.21 12.60 10.70 9.96 9.53 1989-2016 Florida 24.41 23.37 21.56 19.15 16.78 16.00 1989-2016 Georgia 25.75 20.43 15.20 14.41 10.79 10.94 1989-2016 Maryland 19.39 13.51 12.72 13.12 9.95 9.46 1989-2016 Michigan 13.21 8.93 7.84 7.55 7.25 7.58 1989-2016 New Jersey 12.38 10.30 9.08 7.85 6.55 6.86 1989-2016 New York 17.53 14.26 12.27 11.42 10.31 9.45 1989-2016 Ohio 24.31 15.36 9.68 7.40 6.48 6.44 1989-2016 Pennsylvania 18.32 NA 10.56 9.85 8.75 8.64 1989-2016 Virginia 19.45 15.81 11.72 12.09 9.45

  15. Average Commercial Price

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

    9.47 8.91 8.10 8.08 8.90 7.89 1967-2015 Alabama 13.34 12.36 12.56 12.35 11.92 11.03 1967-2015 Alaska 8.78 8.09 8.09 8.34 8.30 7.80 1967-2015 Arizona 10.72 9.99 9.35 8.76 10.34 10.53 1967-2015 Arkansas 8.89 8.90 7.99 7.68 7.88 8.08 1967-2015 California 8.30 8.29 7.05 7.81 9.05 7.98 1967-2015 Colorado 7.58 7.84 7.58 7.26 8.15 NA 1967-2015 Connecticut 9.55 8.48 8.40 9.20 10.24 8.56 1967-2015 Delaware 13.26 13.58 13.31 11.78 11.42 10.70 1967-2015 District of Columbia 12.26 12.24 11.19 11.64 12.18

  16. Average Commercial Price

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

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From

  17. Average Commercial Price

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

    Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground

  18. Average Residential Price

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

    11.39 11.03 10.65 10.32 10.97 10.38 1967-2015 Alabama 15.79 15.08 16.20 15.47 14.59 13.95 1967-2015 Alaska 8.89 8.77 8.47 8.85 9.11 9.68 1967-2015 Arizona 15.87 15.04 15.75 13.92 17.20 17.04 1967-2015 Arkansas 11.53 11.46 11.82 10.46 10.39 11.20 1967-2015 California 9.92 9.93 9.14 9.92 11.51 11.38 1967-2015 Colorado 8.13 8.25 8.28 7.85 8.89 NA 1967-2015 Connecticut 14.93 13.83 14.17 13.32 14.13 12.47 1967-2015 Delaware 15.12 15.38 15.24 13.65 13.21 NA 1967-2015 District of Columbia 13.53 13.06

  19. Average Residential Price

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

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From

  20. Average Residential Price

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

    Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground

  1. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History District of Columbia 12.26 12.24 11.19 11.64 12.18 11.55 1980-2015 Florida 10.60 11.14 10.41 10.87 11.38 10.74 1967-2015 Georgia 10.95 10.51 9.75 9.38 9.86 8.49 1967-2015 Maryland 9.87 10.29 10.00 10.06 10.52 10.00 1967-2015 Michigan 8.95 9.14 8.35 7.82 8.28 7.49 1967-2015 New Jersey 10.11 9.51

  2. Average Commercial Price

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

    8.37 7.74 7.38 7.21 6.74 6.82 1973-2016 Alabama 11.75 11.40 11.47 10.73 9.81 9.70 1989-2016 Alaska 7.03 7.67 7.43 7.39 7.18 7.24 1989-2016 Arizona 10.40 10.14 9.36 9.17 8.93 9.32 1989-2016 Arkansas 8.00 7.71 7.86 7.29 7.16 6.74 1989-2016 California 7.84 7.69 7.20 8.23 7.98 8.43 1989-2016 Colorado 9.19 7.83 6.49 6.18 5.79 5.94 1989-2016 Connecticut 10.53 9.53 8.48 8.18 NA 7.26 1989-2016 Delaware 13.93 12.54 10.82 9.15 8.75 8.58 1989-2016 District of Columbia 11.50 11.68 11.28 10.01 9.50 9.30

  3. Average Residential Price

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

    16.37 12.59 10.06 9.29 8.30 8.39 1973-2016 Alabama 20.38 19.12 17.67 14.30 12.00 11.12 1989-2016 Alaska 9.86 9.44 8.89 8.79 8.91 9.03 1989-2016 Arizona 23.01 20.77 14.57 12.75 11.99 13.82 1989-2016 Arkansas 18.15 17.40 13.80 10.34 9.54 9.06 1989-2016 California 11.91 11.53 10.31 11.37 11.45 11.52 1989-2016 Colorado 13.03 9.26 6.88 6.45 6.06 6.44 1989-2016 Connecticut 21.49 15.30 12.50 11.82 10.32 10.65 1989-2016 Delaware 23.22 NA 14.03 11.09 10.09 9.71 1989-2016 District of Columbia 18.17 16.21

  4. Edge-facet pumped, multi-aperture, thin-disk laser geometry for very high average power output scaling

    DOE Patents [OSTI]

    Zapata, Luis E.

    2004-12-21

    The average power output of a laser is scaled, to first order, by increasing the transverse dimension of the gain medium while increasing the thickness of an index matched light guide proportionately. Strategic facets cut at the edges of the laminated gain medium provide a method by which the pump light introduced through edges of the composite structure is trapped and passes through the gain medium repeatedly. Spontaneous emission escapes the laser volume via these facets. A multi-faceted disk geometry with grooves cut into the thickness of the gain medium is optimized to passively reject spontaneous emission generated within the laser material, which would otherwise be trapped and amplified within the high index composite disk. Such geometry allows the useful size of the laser aperture to be increased, enabling the average laser output power to be scaled.

  5. Computing the partition function, ensemble averages, and density of states for lattice spin systems by sampling the mean

    SciTech Connect (OSTI)

    Gillespie, Dirk

    2013-10-01

    An algorithm to approximately calculate the partition function (and subsequently ensemble averages) and density of states of lattice spin systems through non-Monte-Carlo random sampling is developed. This algorithm (called the sampling-the-mean algorithm) can be applied to models where the up or down spins at lattice nodes interact to change the spin states of other lattice nodes, especially non-Ising-like models with long-range interactions such as the biological model considered here. Because it is based on the Central Limit Theorem of probability, the sampling-the-mean algorithm also gives estimates of the error in the partition function, ensemble averages, and density of states. Easily implemented parallelization strategies and error minimizing sampling strategies are discussed. The sampling-the-mean method works especially well for relatively small systems, systems with a density of energy states that contains sharp spikes or oscillations, or systems with little a priori knowledge of the density of states.

  6. Areal-averaged and Spectrally-resolved Surface Albedo from Ground-based Transmission Data Alone: Toward an Operational Retrieval

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Michalsky, Joseph; Hodges, G. B.

    2014-08-22

    We present here a simple retrieval of the areal-averaged and spectrally resolved surface albedo using only ground-based measurements of atmospheric transmission under fully overcast conditions. Our retrieval is based on a one-line equation and widely accepted assumptions regarding the weak spectral dependence of cloud optical properties in the visible and near-infrared spectral range. The feasibility of our approach for the routine determinations of albedo is demonstrated for different landscapes with various degrees of heterogeneity using three sets of measurements:(1) spectrally resolved atmospheric transmission from Multi-Filter Rotating Shadowband Radiometer (MFRSR) at wavelength 415, 500, 615, 673, and 870 nm, (2) tower-based measurements of local surface albedo at the same wavelengths, and (3) areal-averaged surface albedo at four wavelengths (470, 560, 670 and 860 nm) from collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) observations. These integrated datasets cover both long (2008-2013) and short (April-May, 2010) periods at the ARM Southern Great Plains (SGP) site and the NOAA Table Mountain site, respectively. The calculated root mean square error (RMSE), which is defined here as the root mean squared difference between the MODIS-derived surface albedo and the retrieved area-averaged albedo, is quite small (RMSE?0.01) and comparable with that obtained previously by other investigators for the shortwave broadband albedo. Good agreement between the tower-based daily averages of surface albedo for the completely overcast and non-overcast conditions is also demonstrated. This agreement suggests that our retrieval originally developed for the overcast conditions likely will work for non-overcast conditions as well.

  7. Retrieval of Areal-averaged Spectral Surface Albedo from Transmission Data Alone: Computationally Simple and Fast Approach

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Michalsky, Joseph; Hodges, G. B.

    2014-10-25

    We introduce and evaluate a simple retrieval of areal-averaged surface albedo using ground-based measurements of atmospheric transmission alone at five wavelengths (415, 500, 615, 673 and 870nm), under fully overcast conditions. Our retrieval is based on a one-line semi-analytical equation and widely accepted assumptions regarding the weak spectral dependence of cloud optical properties, such as cloud optical depth and asymmetry parameter, in the visible and near-infrared spectral range. To illustrate the performance of our retrieval, we use as input measurements of spectral atmospheric transmission from Multi-Filter Rotating Shadowband Radiometer (MFRSR). These MFRSR data are collected at two well-established continental sites in the United States supported by the U.S. Department of Energy’s (DOE’s) Atmospheric Radiation Measurement (ARM) Program and National Oceanic and Atmospheric Administration (NOAA). The areal-averaged albedos obtained from the MFRSR are compared with collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) white-sky albedo. In particular, these comparisons are made at four MFRSR wavelengths (500, 615, 673 and 870nm) and for four seasons (winter, spring, summer and fall) at the ARM site using multi-year (2008-2013) MFRSR and MODIS data. Good agreement, on average, for these wavelengths results in small values (?0.01) of the corresponding root mean square errors (RMSEs) for these two sites. The obtained RMSEs are comparable with those obtained previously for the shortwave albedos (MODIS-derived versus tower-measured) for these sites during growing seasons. We also demonstrate good agreement between tower-based daily-averaged surface albedos measured for “nearby” overcast and non-overcast days. Thus, our retrieval originally developed for overcast conditions likely can be extended for non-overcast days by interpolating between overcast retrievals.

  8. 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...

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

    SciTech Connect (OSTI)

    Gupta, Tejpal; Jalali, Rakesh; Goswami, Savita; Nair, Vimoj; Moiyadi, Aliasgar; Epari, Sridhar; Sarin, Rajiv

    2012-08-01

    Purpose: To report on acute toxicity, longitudinal cognitive function, and early clinical outcomes in children with average-risk medulloblastoma. Methods and Materials: Twenty children {>=}5 years of age classified as having average-risk medulloblastoma were accrued on a prospective protocol of hyperfractionated radiation therapy (HFRT) alone. Radiotherapy was delivered with two daily fractions (1 Gy/fraction, 6 to 8 hours apart, 5 days/week), initially to the neuraxis (36 Gy/36 fractions), followed by conformal tumor bed boost (32 Gy/32 fractions) for a total tumor bed dose of 68 Gy/68 fractions over 6 to 7 weeks. Cognitive function was prospectively assessed longitudinally (pretreatment and at specified posttreatment follow-up visits) with the Wechsler Intelligence Scale for Children to give verbal quotient, performance quotient, and full-scale intelligence quotient (FSIQ). Results: The median age of the study cohort was 8 years (range, 5-14 years), representing a slightly older cohort. Acute hematologic toxicity was mild and self-limiting. Eight (40%) children had subnormal intelligence (FSIQ <85), including 3 (15%) with mild mental retardation (FSIQ 56-70) even before radiotherapy. Cognitive functioning for all tested domains was preserved in children evaluable at 3 months, 1 year, and 2 years after completion of HFRT, with no significant decline over time. Age at diagnosis or baseline FSIQ did not have a significant impact on longitudinal cognitive function. At a median follow-up time of 33 months (range, 16-58 months), 3 patients had died (2 of relapse and 1 of accidental burns), resulting in 3-year relapse-free survival and overall survival of 83.5% and 83.2%, respectively. Conclusion: HFRT without upfront chemotherapy has an acceptable acute toxicity profile, without an unduly increased risk of relapse, with preserved cognitive functioning in children with average-risk medulloblastoma.

  10. Determination of the Average Aromatic Cluster Size of Fossil Fuels by Solid-State NMR at High Magnetic Field

    SciTech Connect (OSTI)

    Mao, Kanmi; Kennedy, Gordon J.; Althaus, Stacey M.; Pruski, Marek

    2013-01-07

    We show that the average aromatic cluster size in complex carbonaceous materials can be accurately determined using fast magic-angle spinning (MAS) NMR at a high magnetic field. To accurately quantify the nonprotonated aromatic carbon, we edited the 13C spectra using the recently reported MAS-synchronized spin–echo, which alleviated the problem of rotational recoupling of 1H-13C dipolar interactions associated with traditional dipolar dephasing experiments. The dependability of this approach was demonstrated on selected Argonne Premium coal standards, for which full sets of basic structural parameters were determined with high accuracy.

  11. Application of Maximum Likelihood Bayesian Model Averaging to Groundwater Flow and Transport at the Hanford Site 300 Area

    SciTech Connect (OSTI)

    Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Rockhold, Mark L.

    2008-06-01

    A methodology to systematically and quantitatively assess model predictive uncertainty was applied to saturated zone uranium transport at the 300 Area of the U.S. Department of Energy Hanford Site in Washington State, USA. The methodology extends Maximum Likelihood Bayesian Model Averaging (MLBMA) to account jointly for uncertainties due to the conceptual-mathematical basis of models, model parameters, and the scenarios to which the models are applied. Conceptual uncertainty was represented by postulating four alternative models of hydrogeology and uranium adsorption. Parameter uncertainties were represented by estimation covariances resulting from the joint calibration of each model to observed heads and uranium concentration. Posterior model probability was dominated by one model. Results demonstrated the role of model complexity and fidelity to observed system behavior in determining model probabilities, as well as the impact of prior information. Two scenarios representing alternative future behavior of the Columbia River adjacent to the site were considered. Predictive simulations carried out with the calibrated models illustrated the computation of model- and scenario-averaged predictions and how results can be displayed to clearly indicate the individual contributions to predictive uncertainty of the model, parameter, and scenario uncertainties. The application demonstrated the practicability of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modelling.

  12. Technical Note: Measuring contrast- and noise-dependent spatial resolution of an iterative reconstruction method in CT using ensemble averaging

    SciTech Connect (OSTI)

    Yu, Lifeng Vrieze, Thomas J.; Leng, Shuai; Fletcher, Joel G.; McCollough, Cynthia H.

    2015-05-15

    Purpose: The spatial resolution of iterative reconstruction (IR) in computed tomography (CT) is contrast- and noise-dependent because of the nonlinear regularization. Due to the severe noise contamination, it is challenging to perform precise spatial-resolution measurements at very low-contrast levels. The purpose of this study was to measure the spatial resolution of a commercially available IR method using ensemble-averaged images acquired from repeated scans. Methods: A low-contrast phantom containing three rods (7, 14, and 21 HU below background) was scanned on a 128-slice CT scanner at three dose levels (CTDI{sub vol} = 16, 8, and 4 mGy). Images were reconstructed using two filtered-backprojection (FBP) kernels (B40 and B20) and a commercial IR method (sinogram affirmed iterative reconstruction, SAFIRE, Siemens Healthcare) with two strength settings (I40-3 and I40-5). The same scan was repeated 100 times at each dose level. The modulation transfer function (MTF) was calculated based on the edge profile measured on the ensemble-averaged images. Results: The spatial resolution of the two FBP kernels, B40 and B20, remained relatively constant across contrast and dose levels. However, the spatial resolution of the two IR kernels degraded relative to FBP as contrast or dose level decreased. For a given dose level at 16 mGy, the MTF{sub 50%} value normalized to the B40 kernel decreased from 98.4% at 21 HU to 88.5% at 7 HU for I40-3 and from 97.6% to 82.1% for I40-5. At 21 HU, the relative MTF{sub 50%} value decreased from 98.4% at 16 mGy to 90.7% at 4 mGy for I40-3 and from 97.6% to 85.6% for I40-5. Conclusions: A simple technique using ensemble averaging from repeated CT scans can be used to measure the spatial resolution of IR techniques in CT at very low contrast levels. The evaluated IR method degraded the spatial resolution at low contrast and high noise levels.

  13. PySpline: A Modern, Cross-Platform Program for the Processing of Raw Averaged XAS Edge and EXAFS Data

    SciTech Connect (OSTI)

    Tenderholt, A.; Hedman, B.; Hodgson, K.O.

    2007-01-08

    PySpline is a modern computer program for processing raw averaged XAS and EXAFS data using an intuitive approach which allows the user to see the immediate effect of various processing parameters on the resulting k- and R-space data. The Python scripting language and Qt and Qwt widget libraries were chosen to meet the design requirement that it be cross-platform (i.e. versions for Windows, Mac OS X, and Linux). PySpline supports polynomial pre- and post-edge background subtraction, splining of the EXAFS region with a multi-segment polynomial spline, and Fast Fourier Transform (FFT) of the resulting k{sup 3}-weighted EXAFS data.

  14. Application of a generalized matrix averaging method for the calculation of the effective properties of thin multiferroic layers

    SciTech Connect (OSTI)

    Starkov, A. S.; Starkov, I. A.

    2014-11-15

    It is proposed to use a generalized matrix averaging (GMA) method for calculating the parameters of an effective medium with physical properties equivalent to those of a set of thin multiferroic layers. This approach obviates the need to solve a complex system of magnetoelectroelasticity equations. The required effective characteristics of a system of multiferroic layers are obtained using only operations with matrices, which significantly simplifies calculations and allows multilayer systems to be described. The proposed approach is applicable to thin-layer systems, in which the total thickness is much less than the system length, radius of curvature, and wavelengths of waves that can propagate in the system (long-wave approximation). Using the GMA method, it is also possible to obtain the effective characteristics of a periodic structure with each period comprising a number of thin multiferroic layers.

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

    Broader source: Energy.gov [DOE]

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

  16. Combining multi-objective optimization and bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Wohling, Thomas

    2008-01-01

    Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multi-objective optimization and Bayesian Model Averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use observed tensiometric pressure head data at three different depths in a layered vadose zone of volcanic origin in New Zealand. A set of seven different soil hydraulic models is calibrated using a multi-objective formulation with three different objective functions that each measure the mismatch between observed and predicted soil water pressure head at one specific depth. The Pareto solution space corresponding to these three objectives is estimated with AMALGAM, and used to generate four different model ensembles. These ensembles are post-processed with BMA and used for predictive analysis and uncertainty estimation. Our most important conclusions for the vadose zone under consideration are: (1) the mean BMA forecast exhibits similar predictive capabilities as the best individual performing soil hydraulic model, (2) the size of the BMA uncertainty ranges increase with increasing depth and dryness in the soil profile, (3) the best performing ensemble corresponds to the compromise (or balanced) solution of the three-objective Pareto surface, and (4) the combined multi-objective optimization and BMA framework proposed in this paper is very useful to generate forecast ensembles of soil hydraulic models.

  17. Charge and fluence lifetime measurements of a dc high voltage GaAs photogun at high average current

    SciTech Connect (OSTI)

    J. Grames, R. Suleiman, P.A. Adderley, J. Clark, J. Hansknecht, D. Machie, M. Poelker, M.L. Stutzman

    2011-04-01

    GaAs-based dc high voltage photoguns used at accelerators with extensive user programs must exhibit long photocathode operating lifetime. Achieving this goal represents a significant challenge for proposed high average current facilities that must operate at tens of milliamperes or more. This paper describes techniques to maintain good vacuum while delivering beam, and techniques that minimize the ill effects of ion bombardment, the dominant mechanism that reduces photocathode yield of a GaAs-based dc high voltage photogun. Experimental results presented here demonstrate enhanced lifetime at high beam currents by: (a) operating with the drive laser beam positioned away from the electrostatic center of the photocathode, (b) limiting the photocathode active area to eliminate photoemission from regions of the photocathode that do not support efficient beam delivery, (c) using a large drive laser beam to distribute ion damage over a larger area, and (d) by applying a relatively low bias voltage to the anode to repel ions created within the downstream beam line. A combination of these techniques provided the best total charge extracted lifetimes in excess of 1000 C at dc beam currents up to 9.5 mA, using green light illumination of bulk GaAs inside a 100 kV photogun.

  18. Henry County, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Illinois Andover, Illinois Annawan, Illinois Atkinson, Illinois Bishop Hill, Illinois Cambridge, Illinois Cleveland, Illinois Coal Valley, Illinois Colona, Illinois Galva, Illinois...

  19. 05-20-2010_Final_Testimony_Henry_Kelly.pdf

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

    sitesdefaultfilesadministration- officialvicepresidentmemooncleanenergyeconomy.pdf 3 This figure represents the estimated project value if all the existing...

  20. Insolation data manual: long-term monthly averages of solar radiation, temperature, degree-days and global anti K/sub T/ for 248 national weather service stations

    SciTech Connect (OSTI)

    Knapp, C L; Stoffel, T L; Whitaker, S D

    1980-10-01

    Monthly averaged data is presented which describes the availability of solar radiation at 248 National Weather Service stations. Monthly and annual average daily insolation and temperature values have been computed from a base of 24 to 25 years of data. Average daily maximum, minimum, and monthly temperatures are provided for most locations in both Celsius and Fahrenheit. Heating and cooling degree-days were computed relative to a base of 18.3/sup 0/C (65/sup 0/F). For each station, global anti K/sub T/ (cloudiness index) were calculated on a monthly and annual basis. (MHR)

  1. Transverse flowing liquid Kerr cell for high average power laser Q-switching and for direct modulation of high power laser beams.

    DOE Patents [OSTI]

    Comaskey, Brian J.

    2004-12-07

    A fluid flow concept is applied in an optical apparatus to define a high gain stand-off, fast electro-optical q-switch which is highly impervious to high average power optical loads.

  2. High Impact Technology Hub- Resources for Evaluators- Site Evaluation Checklists

    Broader source: Energy.gov [DOE]

    The HIT Catalyst conducts technology demonstrations in three main phases govern demonstrations: Site Evaluation, Selection and Project Kick-Off, Measurement and Verification Scoping and Plan...

  3. Signed Quality Assurance Hub Memo | Department of Energy

    Energy Savers [EERE]

    Side Stream Filtration for Cooling Towers Side Stream Filtration for Cooling Towers Report assesses side stream filtration options for cooling towers with an objective to assess key attributes that optimize energy and water savings and provide information about specific technology and implementation options. This information can be used to assist Federal sites to determine which options may be most appropriate for their applications. This report provides an overview of the characterization of

  4. Students Imagine Paducah Site as Technical, Industrial Hub | Department of

    Energy Savers [EERE]

    Department of Energy Drive Home Innovative Engineering in the EcoCAR2 Competition Students Drive Home Innovative Engineering in the EcoCAR2 Competition April 18, 2011 - 1:52pm Addthis Participants in the EcoCar2 challenge gather for the spring workshop in Ann Arbor, Michigan. Participants in the EcoCar2 challenge gather for the spring workshop in Ann Arbor, Michigan. What does this project do? Engineering students work to re-engineer a standard vehicle, minimizing fuel consumption and

  5. Modeling and Simulation for Nuclear Reactors Hub | Department...

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

    ... Broadly, CASL's mission is to develop and apply M&S capabilities to address three critical areas of performance for nuclear power plants (NPPs): Capital and operating costs per ...

  6. Report of the SEAB Hubs+ Task Force | Department of Energy

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

    the new Funding Constructs for Energy Research and Development (R&D) in the Department of Energy. The Task Force was charged with assisting the DOE in evaluating the management and...

  7. Light Water Reactors A DOE Energy Innovation Hub for Modeling...

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

    and Simulation of Nuclear Reactors CASL is focused on three issues for nuclear energy: reducing cost, reducing the amount of used nuclear fuel, and safety. CASL core...

  8. Metis Hub: The Development of an Intuitive Project Planning System

    SciTech Connect (OSTI)

    McConnell, Rachael M.

    2015-08-26

    The goal is to develop an intuitive, dynamic, and consistent interface for the Metis Planning System by combining user requirements and human engineering concepts. The system is largely based upon existing systems so some tools already have working models that we can follow. However, the web-based interface is completely new.

  9. Admiralty Inlet Hub-Height Turbulence Measurements from June 2012

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

    Levi Kilcher

    2012-06-18

    This data is from measurements at Admiralty Head, in admiralty inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence Mooring' or 'TTM'. The inertial measurements from the IMU allows for removal of mooring motion in post processing. The mooring motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity may have some 'persistent motion contamination' due to mooring sway. The ADV was positioned 11m above the seafloor in 58m of water at 48.1515N, 122.6858W. Units ----- - Velocity data (_u, urot, uacc) is in m/s. - Acceleration (Accel) data is in m/s^2. - Angular rate (AngRt) data is in rad/s. - The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical). - All other quantities are in the units defined in the Nortek Manual. Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library (http://lkilcher.github.io/dolfyn/). Details on motion correction can be found there. For additional details on this dataset see the included Marine Energy Technology Symposium paper.

  10. High Impact Technology Hub - Resources for Evaluators - General...

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

    M&V Guidelines: Measurement and Verification for Federal Energy Projects (Version 4.0) Assessment of Evaluation, Measurement, and Verification Methods - 2014 BTO Peer Review ...

  11. High Impact Technology Hub- Provide Information about Technologies

    Broader source: Energy.gov [DOE]

    The Energy Department identifies and compiles inputs on technologies through a variety of engagement activities including Requests for Information (RFIs), workshops, discussion forums and ongoing...

  12. High Impact Technology Hub- Resources for Evaluators- General Templates

    Broader source: Energy.gov [DOE]

    The HIT Catalyst conducts technology demonstrations in three main phases: Site Evaluation, Selection and Project Kick-Off, Measurement and Verification Scoping and Plan Development. The following Templates were developed in collaboration with third party evaluators, the Energy Department, and technology providers as a part of recent demonstration projects.

  13. Critical Materials Institute An Energy Innovation Hub Alexander King, Director

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

    Criminal Investigator Criminal Investigator Special Agent Responsibilities The Office of Investigations conducts investigations of DOE personnel, contractors, and others receiving DOE funds concerning alleged violations of law that impact DOE programs, operations, facilities, and personnel. Examples of issues investigated by the OIG include soliciting and/or accepting a bribe, overcharging the Government on contracts and grants, providing false data and information, supplying defective or

  14. DataHub project (Smart Grid Project) | Open Energy Information

    Open Energy Info (EERE)

    for consumers who choose to switch supplier, a desire for more standardized communication between players on the Danish electricity market. References "EU Smart Grid...

  15. Central Networks Low Carbon Hub Optimizing renewable energy resources...

    Open Energy Info (EERE)

    Other Additional Comments Cancel Submit Categories: Smart Grid Projects Smart Grid Projects in Europe Smart Grid Projects - Grid Automation Distribution Smart Grid Projects - Other...

  16. How Well Can We Estimate Areal-Averaged Spectral Surface Albedo from Ground-Based Transmission in an Atlantic Coastal Area?

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Marinovici, Maria C.

    2015-10-15

    Areal-averaged albedos are particularly difficult to measure in coastal regions, because the surface is not homogenous, consisting of a sharp demarcation between land and water. With this difficulty in mind, we evaluate a simple retrieval of areal-averaged surface albedo using ground-based measurements of atmospheric transmission alone under fully overcast conditions. To illustrate the performance of our retrieval, we find the areal-averaged albedo using measurements from the Multi-Filter Rotating Shadowband Radiometer (MFRSR) at five wavelengths (415, 500, 615, 673, and 870 nm). These MFRSR data are collected at a coastal site in Graciosa Island, Azores supported by the U.S. Department of Energy’s (DOE’s) Atmospheric Radiation Measurement (ARM) Program. The areal-averaged albedos obtained from the MFRSR are compared with collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) white-sky albedo at four nominal wavelengths (470, 560, 670 and 860 nm). These comparisons are made during a 19-month period (June 2009 - December 2010). We also calculate composite-based spectral values of surface albedo by a weighted-average approach using estimated fractions of major surface types observed in an area surrounding this coastal site. Taken as a whole, these three methods of finding albedo show spectral and temporal similarities, and suggest that our simple, transmission-based technique holds promise, but with estimated errors of about ±0.03. Additional work is needed to reduce this uncertainty in areas with inhomogeneous surfaces.

  17. SU-E-T-174: Evaluation of the Optimal Intensity Modulated Radiation Therapy Plans Done On the Maximum and Average Intensity Projection CTs

    SciTech Connect (OSTI)

    Jurkovic, I; Stathakis, S; Li, Y; Patel, A; Vincent, J; Papanikolaou, N; Mavroidis, P

    2014-06-01

    Purpose: To determine the difference in coverage between plans done on average intensity projection and maximum intensity projection CT data sets for lung patients and to establish correlations between different factors influencing the coverage. Methods: For six lung cancer patients, 10 phases of equal duration through the respiratory cycle, the maximum and average intensity projections (MIP and AIP) from their 4DCT datasets were obtained. MIP and AIP datasets had three GTVs delineated (GTVaip — delineated on AIP, GTVmip — delineated on MIP and GTVfus — delineated on each of the 10 phases and summed up). From the each GTV, planning target volumes (PTV) were then created by adding additional margins. For each of the PTVs an IMRT plan was developed on the AIP dataset. The plans were then copied to the MIP data set and were recalculated. Results: The effective depths in AIP cases were significantly smaller than in MIP (p < 0.001). The Pearson correlation coefficient of r = 0.839 indicates strong degree of positive linear relationship between the average percentage difference in effective depths and average PTV coverage on the MIP data set. The V2 0 Gy of involved lung depends on the PTV coverage. The relationship between PTVaip mean CT number difference and PTVaip coverage on MIP data set gives r = 0.830. When the plans are produced on MIP and copied to AIP, r equals ?0.756. Conclusion: The correlation between the AIP and MIP data sets indicates that the selection of the data set for developing the treatment plan affects the final outcome (cases with high average percentage difference in effective depths between AIP and MIP should be calculated on AIP). The percentage of the lung volume receiving higher dose depends on how well PTV is covered, regardless of on which set plan is done.

  18. Natural Gas Futures Prices (NYMEX)

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

    15 View History Spot Price Henry Hub 2.75 2.69 2.69 2.70 2.70 2.61 1997-2015 Futures Prices Contract 1 2.72 2.68 2.68 2.68 2.68 2.57 1994-2015 Contract 2 2.75 2.70 2.76 2.76 2.75...

  19. Microsoft Word - Price Probabilities Supplement.doc

    Gasoline and Diesel Fuel Update (EIA)

    0 1 April 2010 Short-Term Energy Outlook Supplement: Probabilities of Possible Future Prices 1 EIA introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts portraying confidence intervals around the New York Mercantile Exchange (NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil) and Henry Hub natural gas contracts. The March 2010 STEO added

  20. U.S. Energy Information Administration (EIA) - Data

    Gasoline and Diesel Fuel Update (EIA)

    Market Prices and Uncertainty Report Charts Selected Charts Figure 1: Historical crude oil front month futures prices Figure 7: Probability of the January 2016 WTI contract expiring above price levels Figure 8: Historical RBOB futures prices and crack spreads Figure 12: Probability of January 2016 retail gasoline exceeding different prices levels at expiration Figure 14: U.S. natural gas prices and storage Figure 16: Probability of the January 2016 Henry Hub contract expiring above price levels