National Library of Energy BETA

Sample records for forecasting wa id

  1. Origin State>> CA ID ID ID IL KY NV NY NY OH TN TN TN, WA, CA

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

    NV NY NY OH TN TN TN, WA, CA TN TN TN TN TX Total Shipments by Route Lawrence Livermore National Laboratory Advanced Mixed Waste Treatment Project Batelle Energy Alliance Idaho National Laboratory Argonne National Laboratory Paducah Gaseous Diffusion Plant National Security Technologies Brookhaven National Laboratory West Valley Environmental Services Portsmouth Gaseous Diffusion Plant Duratek/Energy Solutions Babcox & Wilcox Technical Services Y-12 Plant Materials & Energy Corporation

  2. Origin State>> CA ID ID ID IL MD NM NM NY OH TN TN TN, WA, CA

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

    NY OH TN TN TN, WA, CA TN TN TN TX Total Shipments by Route Lawrence Livermore National Laboratory Batelle Energy Alliance Idaho National Laboratory Advanced Mixed Waste Treatment Project Argonne National Laboratory Aberdeen Proving Ground Sandia National Laboratory Los Alamos National Laboratory Brookhaven National Laboratory Portsmouth Gaseous Diffusion Plant Duratek/Energy Solutions Babcox & Wilcox Technical Services Y-12 Plant Materials & Energy Corporation (M&EC) Perma-Fix

  3. Origin State>> CA ID ID ID IL NM NM OH TN TN TN, WA, CA TN TN

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

    NM NM OH TN TN TN, WA, CA TN TN TN TN TX Total Shipments by Route Lawrence Livermore National Laboratory Batelle Energy Alliance Idaho National Laboratory Advanced Mixed Waste Treatment Project Argonne National Laboratory Sandia National Laboratory Los Alamos National Laboratory Portsmouth Gaseous Diffusion Plant Duratek/Energy Solutions Babcox & Wilcox Technical Services Y-12 Plant Materials & Energy Corporation (M&EC) Perma-Fix Nuclear Fuels Services Wastren Advantage, Inc.

  4. Origin State>> CA ID ID IL IL KY NM NM NV NY OH TN TN TN, WA,

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

    IL IL KY NM NM NV NY OH TN TN TN, WA, CA TN TN TN TN Total Shipments by Route Lawrence Livermore National Laboratory Batelle Energy Alliance Idaho National Laboratory Energx Argonne National Laboratory Argonne National Laboratory Paducah Gaseous Diffusion Plant Sandia National Laboratory Los Alamos National Laboratory National Security Technologies West Valley Environmental Services Portsmouth Gaseous Diffusion Plant Duratek/Energy Solutions Babcox & Wilcox Technical Services Y-12 Plant

  5. 1. CONTRACT ID CODE PAGE OF PAGES

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

    CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I1 1 1 3 2. AMvEND)MENfmODIFICATION NO. 3 EFFECT IVE DATE (M'D/)Y) 4 REQUISITION/PURCHASE REQ. NO 5.PROJECT NO. (If applicable, 240 See Block 16C 12EM000054 T 6. ISSUFD BY CODE 7. ADMINISTE'RED BY GIf aher than Item 6)1 CODE U.S. Department of Energy Office of River Protection P. 0. Box 450, MS 1-6-60 Richland, WA 99352 8 NAvM AND ADDRESS OF CONTRACTOR (No., wreel, county, Sltate and ZIP code) 9A. AMENDMENT OF

  6. 4-ID beamline layout

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

    Sector 4 beamline layout Overview Sector 4 uses a canted undulator straight section to operate two beamlines The 4-ID-C beamline operates between 500 and 3000 eV while the 4-ID-D...

  7. Badging, Real ID

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

    Office » Badging, Real ID Badging, Real ID Effective Nov. 3, 2014, the Lab will implement requirements of the REAL ID Act. Contact Badge Office (505) 667-6901 Email Badge requirements US citizen employees must present a photo ID and proof of US citizenship. See Security Smart on Proof of United States Citizenship for the Badge Office (pdf). Foreign national guests and employees must have an approved visit and present a valid passport and documentation of US legal status and work authorizations.

  8. BayWa Group | Open Energy Information

    Open Energy Info (EERE)

    BayWa Group Jump to: navigation, search Name: BayWa Group Place: Munich, Germany Zip: 81925 Sector: Services, Solar Product: Germany-based company with international operations...

  9. Category:Seattle, WA | Open Energy Information

    Open Energy Info (EERE)

    Seattle, WA Jump to: navigation, search Go Back to PV Economics By Location Media in category "Seattle, WA" The following 16 files are in this category, out of 16 total....

  10. Beamline 29-ID

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

    & Milestones IEX Advisory Committees FDR Beamline Information RSXS ARPES APS Ring Status Current APS Schedule Intermediate Energy X-Rays (29-ID): The Intermediate Energy...

  11. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1.CONTRACT ID CODE PAGE OF PAGES

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

    CONTRACT ID CODE PAGE OF PAGES T 1 1 13 2 AMENDIMENT/MODIFICATION NO 3. EFFECTIVE DATE 4 -REGUISITION/PURCHASE RED. NO 5. PROJECT NO. (If epplicable) 032 04/14/2011 11EM002244 6 ISSUED BY CODE 00603 7 ADMINISTERED BY (Iftherthan temrt6) CODE J00603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 Richland WA 99352 8 NAME AND ADDRESS OF

  12. AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT 1. CONTRACT ID CODE P AE

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

    OF CONTRACT 1. CONTRACT ID CODE P AE 2. AMEN DMENT/MODIF ICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE RED. NO. 5. PROJECT NO. (If applicable) 073 See Block 16C 12EM002951/12EM003004 6. ISSUED BY CODE 100603 7. ADMINISTERED BY (If other than Item 6) CODE 100603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection Office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 Richland WA 99352 8. NAME

  13. AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I CONTRACT ID CODE PAGE OF PAGES

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

    I CONTRACT ID CODE PAGE OF PAGES 1 14 2. AMENDMENT/MODIFICATION NO. 3 EFFECTIVE DATE 4. REQUISITION/PURCHASE RED. NO 5. PRtOJECT NO. (if pplicable) 186 See Block 16CL 6. ISSUED BY CODE j 0603 7. ADMINISTERED BY (If other than Item 6) CODE 00603 office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy office of River Protection office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 MS: H6-60 Richland WA 99352 6. NAME AND ADDRESS OF

  14. 4-ID-D optics

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

    4-ID-D Beamline Optics A schetch of the major optical components for beam line 4-ID-D are shown above. All these components located in the B-station upstream from the D...

  15. Real ID Act in brief

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

    Real Estate Approvals Real Estate Approvals Real Estate Approvals Policy Flash 2011-61, Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate (attachment)

    Visitors » Badging, Badge Office » Real ID Act in brief Real ID Act in brief Effective Nov. 3, 2014, the Lab will implement requirements of the REAL ID Act. Contact Badge Office (505) 667-6901 Email REAL ID Act in brief REAL ID is a coordinated effort by the states and the Federal Government to improve the

  16. Blind Modal ID

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

    Research Projects » Blind Modal ID Blind separation of high-resolution vibration modes High-resolution video camera measurement of the structural vibration (the top video) could be separated into individual, monotone, vibration modes, which enable high-resolution visualization and analysis of structural dynamics. Contact Yongchao Yang (832) 335-3003 Email David Mascarenas dmascarenas@lanl.gov (505) 665-0881 Original video = Mode 1 - 6.34 Hz + Mode 2 - 17.96 Hz + Mode 3 - 25.89 Hz (higher

  17. DHSIsotopeID

    Energy Science and Technology Software Center (OSTI)

    2007-12-18

    DHSIsotopeID is an application designed to read and analyze radiation measurement files taken by radiation measurement files taken by radiation portal monitors, and in particular, by the advanced spectroscopic portals. It requires that the data files be in the N42 file format, compliant with the interface control documents for DNDO radiation measurement files. It carries out an automated analysis to determine which isotopes are present in the spectra, and then presents the results in graphicalmore » form to the user. It also enables further post-processing and analysis, for example by performing further analysis on selected regions of interest of the spectrum, as designated by the user via the graphical interface.« less

  18. Advance Patent Waiver W(A)2002-023 | Department of Energy

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

    2-023 Advance Patent Waiver W(A)2002-023 Advance Patent Waiver W(A)2002-023 (1.52 MB) More Documents & Publications Advance Patent Waiver W(A)2006-028 WA05056IBMWATSONRESEARCH...

  19. Hanford, WA Selected as Plutonium Production Facility | National Nuclear

    National Nuclear Security Administration (NNSA)

    Security Administration | (NNSA) Hanford, WA Selected as Plutonium Production Facility Hanford, WA Selected as Plutonium Production Facility Hanford, WA Groves selects Hanford, Washington, as site for full-scale plutonium production and separation facilities. Three reactors--B, D, and F--are built

  20. Solar Forecasting

    Broader source: Energy.gov [DOE]

    On December 7, 2012, DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

  1. Recent results from CERN-WA98

    SciTech Connect (OSTI)

    Stankus, P.; WA98 Collaboration

    1997-02-01

    The CERN experiment WA98 is a general-survey, open-spectrometer experiment designed to examine 160 A GeV/c Pb+A collisions at the CERN-SPS. The experiment has a broad physics agenda, as suggested by its many different subsystems. A diagram of the experiment as it stood in 1995 is shown in the report. Detectors whose results are presented here are described briefly.

  2. APS Beamline 6-ID-D

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

    MM-Group Home MMG Advisory Committees 6-ID-D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the...

  3. APS Beamline 6-ID-B,C

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

    6-ID-B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the...

  4. DOE-ID Operations Summary

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

    ... A prior inspection of the panel revealed that it contains both Safety-Related Plant ...ID--BEA-ATR-2013-0028 August 19, 2013: A method used to test fire water flow testing ...

  5. DOE-ID Operations Summary

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

    EM- ID--GOID-IDDIRECT-2015-0002 Advanced Mixed Waste Treatment Project (AMWTP) Nothing to report ... bottle in the Fuel Conditioning Facility (FCF) at the Materials and Fuels ...

  6. DOE-ID Operations Summary

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

    POC: Danielle Miller, (208) 526-5709. Advanced Mixed Waste Treatment Project (AMWTP) April 25: A ... north box line of the Treatment Facility. EM-ID--ITG-AMWTF-2015-0006 ...

  7. DOE-ID Operations Summary

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

    POC - Shannon Brennan, DOE-ID, (208) 526-3993. Advanced Mixed Waste Treatment Project (AMWTP) No ... There are no adverse impact to the facility or public safety as a result of the ...

  8. RAPID/Roadmap/12-WA-b | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us State Trust Lands Habitat Conservation Plan Compliance (12-WA-b) The State of Washington has a Habitat Conservation Plan...

  9. RAPID/Roadmap/19-WA-e | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Water Well Notice of Intent for New Well (19-WA-e) A...

  10. RAPID/Roadmap/11-WA-b | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Human Remains Process (11-WA-b) This flowchart...

  11. RAPID/Roadmap/18-WA-b | Open Energy Information

    Open Energy Info (EERE)

    Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Dangerous Solid Waste Permit (18-WA-b) The Washington State Department of Ecology (WSDE) oversees the...

  12. RAPID/Roadmap/15-WA-a | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Notice of Construction Permit (15-WA-a) This flowchart illustrates...

  13. RAPID/Roadmap/15-WA-b | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Operating Permit (15-WA-b) This flowchart illustrates the process for...

  14. RAPID/Roadmap/14-WA-b | Open Energy Information

    Open Energy Info (EERE)

    RAPIDRoadmap14-WA-b < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal...

  15. RAPID/Roadmap/14-WA-c | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us Underground Injection Control Permit (14-WA-c) The Safe Drinking Water Act requires Washington to implement...

  16. RAPID/Roadmap/19-WA-d | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Water Conservancy Board Transfer or Change of Water Right (19-WA-d) In 1997, the Washington...

  17. RAPID/Roadmap/19-WA-c | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us Transfer or Change of Water Right (19-WA-c) Much of Washington's public waters have been accounted for through...

  18. RAPID/Roadmap/19-WA-b | Open Energy Information

    Open Energy Info (EERE)

    About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us New Water Right Permit Process (19-WA-b) Washington uses a prior appropriation system for the...

  19. Microsoft Word - WA Parish_MAP_Final.docx

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

    and compression system at Unit 8 of the existing W.A. ... subject of a mitigation commitment. (b) In certain ... systems to produce electricity at greater efficiencies, ...

  20. RAPID/Roadmap/5-WA-a | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us Drilling and Well Development (5-WA-a) In Washington geothermal drilling and well development are regulated by the...

  1. Advance Patent Waiver W(A)2011-006 | Department of Energy

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

    1-006 Advance Patent Waiver W(A)2011-006 This document waives certain patent rights the ... W(A)2011-006 (218.72 KB) More Documents & Publications WA05022DOWCHEMICALCOMPANYWaiv...

  2. Advance Patent Waiver W(A)2011-039 | Department of Energy

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

    39 Advance Patent Waiver W(A)2011-039 This document waives certain patent rights the ... W(A)2011-039 (693.45 KB) More Documents & Publications Advance Patent Waiver W(A)2008-033 ...

  3. DOE Zero Energy Ready Home Case Study: TC Legend, Seattle, WA...

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

    Legend, Seattle, WA, Custom Home DOE Zero Energy Ready Home Case Study: TC Legend, Seattle, WA, Custom Home Case study of a DOE Zero Energy Ready Home in Seattle, WA, that scored ...

  4. DOE - Office of Legacy Management -- Hanford Engineer Works - WA 01

    Office of Legacy Management (LM)

    Hanford Engineer Works - WA 01 FUSRAP Considered Sites Site: Hanford Engineer Works (WA.01 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see http://www.hanford.gov/ Documents Related to Hanford Engineer Works

  5. DOE-ID Twitter Site

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

    Bradley Bugger doeidbug Bradley Bugger Want to know what's going on at DOE-Idaho? Follow DOE-ID public affairs supervisor Brad Bugger on Twitter at doeidbug. https://twitter.com/#!/doeidbug Editorial Date May 9, 2911 By Brad Bugger

  6. AMENDMENT OF SOUCITATIONIMODIFICATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES

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

    1. CONTRACT ID CODE PAGE OF PAGES II 11 9 2. AMEN DMENTIMODIFICATION NO. 3. EFFECTIVE DATE 4. REOUISITIONIPURCHASE REQ. NO. 5. PROJECT NO. (If elpicable) 169 See Block 16C 12EM0020631 6. ISSUED BY CODE 00603 7. ADMINISTERED BY (If otherthan Item 6) CODE 100603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection Office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 MS: H6-60

  7. DOE-ID Operations Summary

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

    31, 2016 DOE-ID Operations Summary For the Period April 1-April 31, 2016 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced Mixed

  8. DOE-ID Operations Summary

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

    1, 2016 DOE-ID Operations Summary For the Period March 1-March 31, 2016 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced Mixed

  9. APS Beamline 6-ID-B,C

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

    B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the X-ray...

  10. APS Beamline 6-ID-D

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

    D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the Magnetic Materials Group in the X-ray Science...

  11. Data ID Service | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    DOE Data Explorer DOE Data ID Service DOE Data ID Service Note 1: This section pertains to datasets, dataset records, and Digital Object Identifiers (DOIs). It is not related to ...

  12. RAPID/Roadmap/19-WA-a | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Water Access and Water Rights Overview (19-WA-a) Pursuant to RCW 78.60.060, developers that...

  13. BayWa Sunways JV | Open Energy Information

    Open Energy Info (EERE)

    JV that specialises in developing, planning and realizing medium-sized to large photovoltaic systems and solar plants. References: BayWa & Sunways JV1 This article is a stub....

  14. RAPID/Roadmap/6-WA-a | Open Energy Information

    Open Energy Info (EERE)

    in the Washington Administrative Code. 6-WA-a - Oversize-Overweight Load Permit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  15. RAPID/Roadmap/3-WA-b | Open Energy Information

    Open Energy Info (EERE)

    the Washington State Department of Natural Resources. 3-WA-b - Land Access Overview.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  16. WA_1994_003_GOLDEN_PHOTOCON_INC_Waiver_of_Domestic_and_Forei.pdf |

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

    Department of Energy WA_1994_003_GOLDEN_PHOTOCON_INC_Waiver_of_Domestic_and_Forei.pdf WA_1994_003_GOLDEN_PHOTOCON_INC_Waiver_of_Domestic_and_Forei.pdf (5.62 MB) More Documents & Publications WA_1995_030_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf WA_1993_033_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf WA_03_010_SHELL_SOLAR_INDUSTRIES_Waiver_of_Domestic_and_Fore.pdf

  17. DOE - Office of Legacy Management -- University of Washington - WA 0-01

    Office of Legacy Management (LM)

    Washington - WA 0-01 FUSRAP Considered Sites Site: UNIVERSITY OF WASHINGTON (WA.0-01) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Seattle , Washington WA.0-01-1 Evaluation Year: 1987 WA.0-01-1 Site Operations: Research activities involving small quantities of radioactive materials in a controlled environment. WA.0-01-1 Site Disposition: Eliminated - Potential for residual radioactive contamination considered remote - Operating

  18. Employee Assistance Self-ID Form | Department of Energy

    Energy Savers [EERE]

    Employee Assistance Self-ID Form Employee Assistance Self-ID Form Request Emergency Assistance Self-ID Form-HQ Employee Assistance Self-ID Form (93.71 KB) More Documents & ...

  19. DOE Data ID Service - Digital object identifiers for DOE scientific...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service DataCite | Contact DOE Data ID Service DOE Data ID Service DOE Data ID Service The DOE Office of Scientific and Technical Information (OSTI) offers a service ...

  20. Forecast Change

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

    Forecast Change 2011 2012 2013 2014 2015 2016 from 2015 United States Usage (kWh) 3,444 3,354 3,129 3,037 3,151 3,302 4.8% Price (cents/kWh) 12.06 12.09 12.58 13.04 12.95 12.84 -0.9% Expenditures $415 $405 $393 $396 $408 $424 3.9% New England Usage (kWh) 2,122 2,188 2,173 1,930 1,992 2,082 4.5% Price (cents/kWh) 15.85 15.50 16.04 17.63 18.64 18.37 -1.5% Expenditures $336 $339 $348 $340 $371 $382 3.0% Mid-Atlantic Usage (kWh) 2,531 2,548 2,447 2,234 2,371 2,497 5.3% Price (cents/kWh) 16.39 15.63

  1. VA VT CT RI MT WY CO ID UT OR NV CA AZ NM WA TN WV NC AR OK

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

    2 1 Locations of Smart Grid Demonstration and Large-Scale Energy Storage Projects NH 32 Awards Support Projects in 24 States 6 11 MA

  2. VA VT CT RI MT WY CO ID UT OR NV CA AZ NM WA TN WV NC AR OK

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

    2 1 Smart Grid Demonstration Project Locations NH MA 16 Awards Support Projects in 21 States

  3. VA VT CT RI MT WY CO ID UT OR NV CA AZ NM WA TN WV NC AR OK

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

    7 2 1 Energy Storage Demonstration Project Locations NH 16 Awards Support Projects in 9 States MA

  4. VA VT CT RI MT WY CO ID UT OR NV CA AZ NM WA TN WV NC AR OK

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

    2 1 Locations of Smart Grid Demonstration and Large-Scale Energy Storage Projects NH 32 Awards Support Projects in 24 States 6 11 MA

  5. Climate Action Champions: Seattle, WA | Department of Energy

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

    Seattle, WA Climate Action Champions: Seattle, WA The City of Seattle has long been at the leading edge of environmental innovation. Seattle has been recycling for over 25 years and today has one of the highest recycling and composting rates nationwide. In 2005, Seattle City Light became the first electric utility in the nation to be carbon neutral. Recently, Seattle was recognized as the “most sustainable city in the nation” by STAR communities with a 5-STAR rating and the highest

  6. Sumas, WA Liquefied Natural Gas Imports (Million Cubic Feet)

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

    (Million Cubic Feet) Sumas, WA Liquefied Natural Gas Imports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 5 2015 4 4 2 1 2016 1 2 1 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Sumas, WA LNG Imports from All Countries

  7. Advance Patent Waiver W(A)2005-027

    Broader source: Energy.gov [DOE]

    This is a request by WESTINGHOUSE ELECTRIC CORPORATION for a DOE waiver of domestic and foreign patent rights under agreement DE-FC07-05ID14636.

  8. 1. CON'I'AC'r ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II 11 3

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

    CON'I'AC'r ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II 11 3 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE (M/D.'F) 4. REQUISITION/PURCHASE RE-Q. NO. S. PROJECT1 NO. t7fapplieoble) 27See Block 16C 12EM001839 6. ISUED13Y ODE7. ADMINISTER.ED BY (If uI/wr ius /tem 6) CODE U.S. Department of Energy Office or River Protection P. 0. Box 450, MS 146-60 Richland, WA 99352 1. NAME AND ADDRESS OF CONTRACTOR (No.,stree, county State and Z11' code) 9A, AMENDMEN f

  9. 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I11 5

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

    Ap5,sval 2700042 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I11 5 2. AMENDMENT/MOOIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO.5 PROJECT NO. (If applicable) A077 See 16C 06-08RL-14383.O1 1 6. ISSUED BY CODE 7. ADMINISTERED BY (If other than Item 6) CODEJ US. Department of Energy Same as item 6. Richland Operations Office DOE Contracting POC: Richard Stimmrrel P. 0. Box 550, MSIN A7-80 (509) 376-2882 Richland, WA 99352 8 NAME AND

  10. File:06-WA-b - Washington Construction Storm Water Permit.pdf...

    Open Energy Info (EERE)

    6-WA-b - Washington Construction Storm Water Permit.pdf Jump to: navigation, search File File history File usage Metadata File:06-WA-b - Washington Construction Storm Water...

  11. Advance Patent Waiver W(A)2013-011 | Department of Energy

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

    1 Advance Patent Waiver W(A)2013-011 This document waives certain patent rights the ... Advance Patent Waiver W(A)2013-011 (996.94 KB) More Documents & Publications Advance ...

  12. Advance Patent Waiver W(A)2010-028 | Department of Energy

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

    28 Advance Patent Waiver W(A)2010-028 This document waives certain patent rights the ... Advance Patent Waiver W(A)2010-028 (192.16 KB) More Documents & Publications Advance ...

  13. Advance Patent Waiver W(A)2009-030 | Department of Energy

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

    9-030 Advance Patent Waiver W(A)2009-030 This document waives certain patent rights the ... Advance Patent Waiver W(A)2009-030 (176.3 KB) More Documents & Publications ...

  14. Advance Patent Waiver W(A)2008-006 | Department of Energy

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

    8-006 Advance Patent Waiver W(A)2008-006 This document waives certain patent rights the ... Advance Patent Waiver W(A)2008-006 (216.42 KB) More Documents & Publications ...

  15. Advance Patent Waiver W(A)2011-034 | Department of Energy

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

    1-034 Advance Patent Waiver W(A)2011-034 This document waives certain patent rights the ... Advance Patent Waiver W(A)2011-034 (236.89 KB) More Documents & Publications Advance ...

  16. Advance Patent Waiver W(A)2012-034 | Department of Energy

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

    34 Advance Patent Waiver W(A)2012-034 This document waives certain patent rights the ... Advance Patent Waiver W(A)2012-034 (1.07 MB) More Documents & Publications Advance Patent ...

  17. Advance Patent Waiver W(A)2009-055 | Department of Energy

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

    serves the interests of the United States and the general public. Advance Patent Waiver W(A)2009-055 (232.19 KB) More Documents & Publications WA03026EIDUPONTDENEMOURSWaiver...

  18. Advance Patent Waiver W(A)2006-028 | Department of Energy

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

    and the general public. Advance Patent Waiver W(A)2006-028 (614.91 KB) More Documents & Publications Advance Patent Waiver W(A)2005-048 2011INCITEFactSheets.pdf Advance ...

  19. Advance Patent Waiver W(A)2010-017 | Department of Energy

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

    17 Advance Patent Waiver W(A)2010-017 This document waives certain patent rights the ... Advance Patent Waiver W(A)2010-017 (203.28 KB) More Documents & Publications Advance ...

  20. Advance Patent Waiver W(A)2010-038 | Department of Energy

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

    serves the interests of the United States and the general public. Advance Patent Waiver W(A)2010-038 (295.5 KB) More Documents & Publications Advance Patent Waiver W(A)2010-037

  1. Advance Patent Waiver W(A)2010-037 | Department of Energy

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

    serves the interests of the United States and the general public. Advance Patent Waiver W(A)2010-037 (236.64 KB) More Documents & Publications Advance Patent Waiver W(A)2010-038

  2. Mechanism of somatic hypermutation at the WA motif by human DNA...

    Office of Scientific and Technical Information (OSTI)

    at the WA motif by human DNA polymerase eta Citation Details In-Document Search Title: Mechanism of somatic hypermutation at the WA motif by human DNA polymerase eta Authors: ...

  3. WA_00_022_CARGILL_DOW_POLYMERS_LLC_Waiver_of_Domestic_and_Fo.pdf |

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

    Department of Energy 22_CARGILL_DOW_POLYMERS_LLC_Waiver_of_Domestic_and_Fo.pdf WA_00_022_CARGILL_DOW_POLYMERS_LLC_Waiver_of_Domestic_and_Fo.pdf (1.38 MB) More Documents & Publications WA_04_033_CARGILL_Waiver_of_Patent_Rights_to_CARGILL_DOWN_L.pdf WA_03_029_CARGILL_DOW_LLC_Waiver_of_Domestic_and_Foreign_Pat.pdf WA_02_052_CARGILL_DOW_Waiver_of_Domestic_and_Foreign_Patent_

  4. WA_01_018_IBM_Waiver_of_Governement_US_and_Foreign_Patent_Ri.pdf |

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

    Department of Energy 1_018_IBM_Waiver_of_Governement_US_and_Foreign_Patent_Ri.pdf WA_01_018_IBM_Waiver_of_Governement_US_and_Foreign_Patent_Ri.pdf (18.1 MB) More Documents & Publications WA_04_053_IBM_CORP_Waiver_of_the_Government_U.S._and_Foreign.pdf WA_00_015_COMPAQ_FEDERAL_LLC_Waiver_Domestic_and_Foreign_Pat.pdf Advance Patent Waiver W(A)2002-023

  5. WA_03_010_SHELL_SOLAR_INDUSTRIES_Waiver_of_Domestic_and_Fore.pdf |

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

    Department of Energy 10_SHELL_SOLAR_INDUSTRIES_Waiver_of_Domestic_and_Fore.pdf WA_03_010_SHELL_SOLAR_INDUSTRIES_Waiver_of_Domestic_and_Fore.pdf (1.41 MB) More Documents & Publications WA_02_039_SHELL_SOLAR_SYSTEMS_Waiver_of_Patent_Rights_Under_.pdf WA_05_059_SHELL_SOLAR_INDUSTRIES_LP_Waiver_of_Domestic_and_F.pdf Advance Patent Waiver W(A)2005-060

  6. WA_03_040_UNITED_TECHNOLOGIES_RESEARCH_CENTER_Waiver_of_Dome.pdf |

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

    Department of Energy 40_UNITED_TECHNOLOGIES_RESEARCH_CENTER_Waiver_of_Dome.pdf WA_03_040_UNITED_TECHNOLOGIES_RESEARCH_CENTER_Waiver_of_Dome.pdf (705.58 KB) More Documents & Publications WA_02_054_ADVANCED_TECHNLOGY_MATERIALS_Waiver_of_Domestic_an.pdf WA_02_038_UNITED_TECHNOLOGIES_CORP_Waiver_of_Domestic_and_Fo.pdf Advance Patent Waiver W(A)2006-021

  7. WA_04_047_CATERPILLAR_INC_Waiver_of_Patent_Rights_to_Inventi.pdf |

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

    Department of Energy 47_CATERPILLAR_INC_Waiver_of_Patent_Rights_to_Inventi.pdf WA_04_047_CATERPILLAR_INC_Waiver_of_Patent_Rights_to_Inventi.pdf (607.19 KB) More Documents & Publications WA_04_046_CATERPILLAR_INC_Waiver_of_Patent_Rights_to_Inventi.pdf WA_04_071_CATERPILLAR_INC_Waiver_of_Patent_Rights_to_Inventi.pdf Advance Patent Waiver W(A)2005-052

  8. WA_04_069__EATON_CORPORATION_Waiver_of_Domestic_and_Foreign_.pdf |

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

    Department of Energy 4_069__EATON_CORPORATION_Waiver_of_Domestic_and_Foreign_.pdf WA_04_069__EATON_CORPORATION_Waiver_of_Domestic_and_Foreign_.pdf (691.53 KB) More Documents & Publications WA_04_059_EATON_CORPORATION_Waiver_of_Patent_Rights_Under_a_.pdf WA_02_048_EATON_CORPORATION_Waviver_of_Patent_Rights_Under_A.pdf WA_04_074_EATON_CORPORATION_Waiver_of_Domestic_and_Foreign_I

  9. WA_06_016_BP_SOLAR_INTERNATIONAL_Waiver_of_Patent_Rights_Und.pdf |

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

    Department of Energy 6_016_BP_SOLAR_INTERNATIONAL_Waiver_of_Patent_Rights_Und.pdf WA_06_016_BP_SOLAR_INTERNATIONAL_Waiver_of_Patent_Rights_Und.pdf (1.22 MB) More Documents & Publications WA_07_016_OSRAM_SYLVANIA_Waiver_of_Patent_Rights_Under_a_DOE.pdf Advance Patent Waiver W(A)2005-060 WA_02_035_BP_SOLAR_INTERNATIONAL_Waiver_of_Domestic_and_Fore

  10. WA_02_036_DE_NORA_NORTH_AMERICA_Waiver_of_Domestic_and_Foreg...

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

    6DENORANORTHAMERICAWaiverofDomesticandForeg.pdf WA02036DENORANORTHAMERICAWaiverofDomesticandForeg.pdf (778.5 KB) More Documents & Publications ...

  11. EIS-0397: Lyle Falls Fish Passage Project, WA

    Broader source: Energy.gov [DOE]

    This EIS analyzes BPA's decision to modify funding to the existing Lyle Falls Fishway on the lower Klickitat River in Klickitat County, WA. The proposed project would help BPA meet its off-site mitigation responsibilities for anadromous fish affected by the development of the Federal Columbia River Power System and increase overall fish production in the Columbia Basin.

  12. Origin State>> CA CA ID ID ID IL KY MD MO NM NM NY NY OH SC

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

    MO NM NM NY NY OH SC TN TN TN, WA, CA TN TN TN TN Total Shipments by Route Lawrence Livermore National Laboratory General Atomics Batelle Energy Alliance Idaho National Laboratory Advanced Mixed Waste Treatment Project Argonne National Laboratory Paducah Gaseous Diffusion Plant Aberdeen Proving Grounds National Security Technologies Sandia National Laboratory Los Alamos National Laboratory Brookhaven National Laboratory CH2M Hill B&W West Valley, LLC Portsmouth Gaseous Diffusion Plant

  13. Origin State>> CA CA ID ID ID IL KY MD NM NM NV NY NY OH TN

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

    NM NM NV NY NY OH TN TN TN, WA, CA TN TN TN TN TX Total Shipments by Route Lawrence Livermore National Laboratory General Atomics Advanced Mixed Waste Treatment Project Batelle Energy Alliance Idaho National Laboratory Argonne National Laboratory Paducah Gaseous Diffusion Plant Aberdeen Proving Ground Los Alamos National Laboratory Sandia National Laboratory National Security Technologies Brookhaven National Laboratory West Valley Environmental Services Portsmouth Gaseous Diffusion Plant

  14. Origin State>> CA ID ID ID IL KY MD NM NM NY NY OH SC TN TN

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

    MD NM NM NY NY OH SC TN TN TN, WA, CA TN TN TN TN TX Total Shipments by Route Lawrence Livermore National Laboratory Advanced Mixed Waste Treatment Project Batelle Energy Alliance Idaho National Laboratory Argonne National Laboratory Paducah Gaseous Diffusion Plant Aberdeen Proving Ground Los Alamos National Laboratory Sandia National Laboratory Brookhaven National Laboratory West Valley Environmental Services Portsmouth Gaseous Diffusion Plant Savannah River Site Duratek/Energy Solutions Babcox

  15. Origin State>> CA ID ID ID IL MD NM NM NV NY NY OH SC TN TN

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

    NV NY NY OH SC TN TN TN, WA, CA TN TN TN Total Shipments by Route Lawrence Livermore National Laboratory Batelle Energy Alliance Idaho National Laboratory Advanced Mixed Waste Treatment Project Argonne National Laboratory Aberdeen Proving Ground Sandia National Laboratory Los Alamos National Laboratory National Security Technologies Brookhaven National Laboratory West Valley Environmental Services Portsmouth Gaseous Diffusion Plant Savannah River Site Duratek/Energy Solutions Babcox & Wilcox

  16. 1-ID Home Page | Advanced Photon Source

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

    1-ID Home Infrastructure Techniques Data Analysis Publications X-ray Resources Materials Physics and Engineering Group Useful Links Current APS status ESAF System GUP System X-Ray...

  17. Mo Year Report Period: EIA ID NUMBER:

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

    Mo Year Report Period: EIA ID NUMBER: http:www.eia.govsurveyformeia14instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https:...

  18. Page 1, About DOE-ID

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

    1 of 11 Previous Page About the U.S. Department of Energy, Idaho Operations Office (DOE-ID) As a new employee of the Department of Energy (DOE), you are entering a Cabinet-Level Executive Branch Agency with a long history of achievement. The Idaho Operations Office (DOE-ID)/INL mission is to develop and deliver cost-effective solutions to both fundamental and advanced challenges in nuclear energy and other energy resources, national security, and environmental management. The Department's

  19. Physicists ID Mechanism that Stabilizes Plasma in Tokamaks

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

    Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Calculations Run at NERSC Create 3D Simulations of Fusion ...

  20. IDS Climate Change and Development Centre Resources | Open Energy...

    Open Energy Info (EERE)

    IDS Climate Change and Development Centre Resources Jump to: navigation, search Tool Summary Name: IDS Climate Change and Development Centre Resources AgencyCompany Organization:...

  1. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOE Patents [OSTI]

    Desprez, Pierre-Yves; Campisi, Judith

    2008-09-30

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  2. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOE Patents [OSTI]

    Desprez, Pierre-Yves; Campisi, Judith

    2011-10-04

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  3. probabilistic energy production forecasts

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

    energy production forecasts - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary ...

  4. Wind Power Forecasting Data

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

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  5. Forecasting Water Quality & Biodiversity

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

    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability ... that measure feedstock production, water quality, water quantity, and biodiversity. ...

  6. Wind Power Forecasting

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

    data Presentations BPA Super Forecast Methodology Related Links Near Real-time Wind Animation Meteorological Data Customer Supplied Generation Imbalance Dynamic Transfer Limits...

  7. DOE Data ID Service - Digital object identifiers for DOE scientific

    Office of Scientific and Technical Information (OSTI)

    research datasets | OSTI, US Dept of Energy Office of Scientific and Technical Information Data ID Service DataCite | Contact DOE Data ID Service DOE Data ID Service DOE Data ID Service The DOE Office of Scientific and Technical Information (OSTI) offers a service for registering datasets to help increase access to digital data from DOE-funded scientific research. Through the DOE Data ID Service, OSTI assigns persistent identifiers, known as Digital Object Identifiers (DOIs), to datasets

  8. NREL: Transmission Grid Integration - Forecasting

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

    Forecasting NREL researchers use solar and wind resource assessment and forecasting techniques to develop models that better characterize the potential benefits and impacts of ...

  9. WA_00_015_COMPAQ_FEDERAL_LLC_Waiver_Domestic_and_Foreign_Pat.pdf |

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

    Department of Energy 15_COMPAQ_FEDERAL_LLC_Waiver_Domestic_and_Foreign_Pat.pdf WA_00_015_COMPAQ_FEDERAL_LLC_Waiver_Domestic_and_Foreign_Pat.pdf (1.8 MB) More Documents & Publications WA_01_018_IBM_Waiver_of_Governement_US_and_Foreign_Patent_Ri.pdf Advance Patent Waiver W(A)2002-023 WC_1997_004_CLASS_ADVANCE_WAIVER_Under_Domestic_First_and_Se

  10. WA_02_034_BP_SOLAR_INTERNATIONAL_LLC_Waiver_of_Domestic_and_.pdf |

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

    Department of Energy 4_BP_SOLAR_INTERNATIONAL_LLC_Waiver_of_Domestic_and_.pdf WA_02_034_BP_SOLAR_INTERNATIONAL_LLC_Waiver_of_Domestic_and_.pdf (734.86 KB) More Documents & Publications WA_02_035_BP_SOLAR_INTERNATIONAL_Waiver_of_Domestic_and_Fore.pdf WA_06_016_BP_SOLAR_INTERNATIONAL_Waiver_of_Patent_Rights_Und

  11. WA_02_035_BP_SOLAR_INTERNATIONAL_Waiver_of_Domestic_and_Fore.pdf |

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

    Department of Energy 5_BP_SOLAR_INTERNATIONAL_Waiver_of_Domestic_and_Fore.pdf WA_02_035_BP_SOLAR_INTERNATIONAL_Waiver_of_Domestic_and_Fore.pdf (1.18 MB) More Documents & Publications WA_06_016_BP_SOLAR_INTERNATIONAL_Waiver_of_Patent_Rights_Und.pdf WA_02_034_BP_SOLAR_INTERNATIONAL_LLC_Waiver_of_Domestic_and_

  12. WA_1993_033_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf |

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

    Department of Energy 3_033_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf WA_1993_033_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf (1.15 MB) More Documents & Publications WA_1995_030_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf WA_1994_003_GOLDEN_PHOTOCON_INC_Waiver_of_Domestic_and_Forei

  13. WA_1995_030_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf |

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

    Department of Energy 5_030_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf WA_1995_030_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign.pdf (8.82 MB) More Documents & Publications WA_1994_003_GOLDEN_PHOTOCON_INC_Waiver_of_Domestic_and_Forei.pdf WA_1993_033_GOLDEN_PHOTON_INC_Waiver_of_Domestic_and_Foreign

  14. WA_1995_033_BECHTEL_NEVADA_CORPORATION_OR_FCI_ENVIRONMENTAL_.pdf |

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

    Department of Energy 3_BECHTEL_NEVADA_CORPORATION_OR_FCI_ENVIRONMENTAL_.pdf WA_1995_033_BECHTEL_NEVADA_CORPORATION_OR_FCI_ENVIRONMENTAL_.pdf (3.94 MB) More Documents & Publications WA_1993_015_XSIRIUS_INC_Waiver_of_the_Governments_US_and_.pdf Advance Patent Waiver W(A)2012-030 Identified Patent Waiver W(I)2008-008

  15. WA_98_001_REYNOLDS_METALS_COMPANY_Waiver_of_Domestic_and_For.pdf |

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

    Department of Energy 8_001_REYNOLDS_METALS_COMPANY_Waiver_of_Domestic_and_For.pdf WA_98_001_REYNOLDS_METALS_COMPANY_Waiver_of_Domestic_and_For.pdf (1.1 MB) More Documents & Publications Advance Patent Waiver W(A)1998-014 WA_00_023_ALCOA_INC_Waiver_of_Domestic_and_Foreign_Patent_Ri.pdf U.S. Energy Requirements for Aluminum Production

  16. I.D I VI Figure

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

    ~press - ,~,.--;~ 3.1 ,,~-.::;:.--- ~ ( 3.1 ( ;-; t\ I.D I VI Figure 9-1. Location of the original Cypress Grove Set-Aside and the Stave Island and Georgia Power replacement Areas. Set-Aside 9: Cypress Grove, Stave Island, and Georgia Power

  17. New Whole-House Solutions Case Study: Quadrant Homes, Kent, WA

    Energy Savers [EERE]

    Kentlake Highlands | Kent, WA PROJECT INFORMATION Construction: New home Type: ... hundreds of builders were left sitting on thousands of unsold new homes, but not Quadrant. ...

  18. WA_04_033_CARGILL_Waiver_of_Patent_Rights_to_CARGILL_DOWN_L.pdf |

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

    Department of Energy 33_CARGILL_Waiver_of_Patent_Rights_to_CARGILL_DOWN_L.pdf WA_04_033_CARGILL_Waiver_of_Patent_Rights_to_CARGILL_DOWN_L.pdf (1.05 MB) More Documents & Publications WA_00_022_CARGILL_DOW_POLYMERS_LLC_Waiver_of_Domestic_and_Fo.pdf WA_05_022_DOW_CHEMICAL_COMPANY_Waiver_of_domestic_and_Foreig.pdf WA_03_029_CARGILL_DOW_LLC_Waiver_of_Domestic_and_Foreign_Pat.pdf

  19. DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham, WA |

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

    Department of Energy Bellingham, WA DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham, WA DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham, WA Case study of a DOE Zero Energy Ready home in Bellingham, WA, that achieves HERS 43 without PV or HERS 13 with 3.2 kW of PV. The 1,055-ft2 two-story production home has 6-in. SIP walls, a 10-in. SIP roof, and ICF foundation walls with R-20 high-density rigid EPS foam under the slab. A single ductless heat pump heats

  20. 2016 Solar Forecasting Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

    On August 3, 2016, the SunShot Initiative's systems integration subprogram hosted the Solar Forecasting Workshop to convene experts in the areas of bulk power system operations, distribution system operations, weather and solar irradiance forecasting, and photovoltaic system operation and modeling. The goal was to identify the technical challenges and opportunities in solar forecasting as a capability that can significantly reduce the integration cost of high levels of solar energy into the electricity grid. This will help SunShot to assess current technology and practices in this field and identify the gaps and needs for further research.

  1. Department of Energy Idaho - Inside DOE-ID

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

    Inside ID Inside Idaho Operations Office (DOE-ID) DOE-ID Mission and Vision Brief History of the Idaho National Laboratory (INL) DOE-ID Agreement in Principle Organization Chart Employment Opportunities New Employee Orientation EOD Checklist - 68 KB EOD Forms - 261 KB DOE/Tribal Agreement in Principle Strategic Partnership Projects (formerly WFO) Idaho Site Contractor Timeline - 3.7 MB ID@Work Introduces some of the DOE-ID employees and the jobs they perform. Last Updated: 05/21/2015

  2. Today's Forecast: Improved Wind Predictions

    Broader source: Energy.gov [DOE]

    Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable.

  3. Solar Forecast Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    For the Solar Forecast Improvement Project (SFIP), the Earth System Research Laboratory (ESRL) is partnering with the National Center for Atmospheric Research (NCAR) and IBM to develop more...

  4. (The 1990 run of the WA80 experiment)

    SciTech Connect (OSTI)

    Young, G.R.

    1990-09-18

    The traveler spent six weeks at CERN participating in the 1990 run of the WA80 experiment. The traveler concentrated on trigger electronics for the first two weeks and on operation of the experiment for much of the next four. New electronics designed at ORNL for reading out the new BGO spectrometer were tested with the BGO in beam. Improvements were made, in collaboration with the ORNL engineers who designed the electronics. Plans were made for constructing the electronics in large quantities. Conversations were had with other members of WA80 about the analysis of results from this year's run and our plans for the 1991/1992 runs proposed for CERN. Lengthy conversations were had about the draft of a first paper concerning limits on direct photon production. Finally, the traveler attended an all-day session of the dilepton working group chartered to consider dilepton and photon experiments using heavy-ion beams in CERN's to-be-proposed Large Hadron Collider (LHC). At this meeting the traveler presented recent results from the group working on such a proposal for RHIC and updated his earlier presentation of June 1990 in this working group.

  5. Acquisition Forecast | Department of Energy

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

    Acquisition Forecast Acquisition Forecast Acquisition Forecast It is the policy of the U.S. Department of Energy (DOE) to provide timely information to the public regarding DOE's forecast of future prime contracting opportunities and subcontracting opportunities which are available via the Department's major site and facilities management contractors. This forecast has been expanded to also provide timely status information for ongoing prime contracting actions that are valued in excess of the

  6. UTILITY_ID","UTILNAME","STATE_CODE","YEAR","MONTH","RES_REV ...

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

    ...,36821,36,0,0,0,26141,213643,157797 7601,"Green Mountain Power Corp","VT",2008,1,8988,6341....914,413072.399,125374 15500,"Puget Sound Energy Inc","WA",2008,1,121907,1271939,934919,70...

  7. Elink - About OSTI's Data ID Service

    Office of Scientific and Technical Information (OSTI)

    Data ID Service Go to: AN 241.6 - Instructions for AN 241.6 - E-Link Home - OSTI Home The Office of Scientific and Technical Information (OSTI) became a member of, and a registering agency for, DataCite in 2011 and now assigns permanent identifiers, known as Digital Object Identifiers (DOIs), to publicly available scientific research datasets. These datasets (datastreams, data files, etc.) support the technical reports and published literature resulting from DOE's research. They are also

  8. Microsoft Word - DOE-ID-INL-15-056.docx

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

    Project Description and Purpose: The E-85 fueling station (15,000 gallon E-85 underground storage tank UST DEQ Facility ID 6-120611Tank ID 98IRC00006 and associated ...

  9. CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:

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

    JLAB ACCESS: The REAL ID Act (Public Law 109-13) now determines which state driver's license can be presented and accepted as a valid ID document for access to Jefferson Lab. The...

  10. WA_07_040_GRAFTECH_INTERNATIONAL_LTD_Waiver_of_Patent_Rights.pdf |

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

    Department of Energy 7_040_GRAFTECH_INTERNATIONAL_LTD_Waiver_of_Patent_Rights.pdf WA_07_040_GRAFTECH_INTERNATIONAL_LTD_Waiver_of_Patent_Rights.pdf (904.04 KB) More Documents & Publications Advance Patent Waiver W(A)2008-004 Next Generation Bipolar Plates for Automotive PEM Fuel Cells Specialty Vehicles and Material Handling Equipment

  11. DOE Data ID Service Top Navigation | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service Top Navigation DataCite | Contact DOE Data ID Service DataCite | Contact DOE Data ID Service

  12. CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:

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

    CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS: The REAL ID Act (Public Law 109-13) now determines which state driver's license can be presented and accepted as a valid ID document for access to Jefferson Lab. The following states/US territories have been determined by the U.S. Department of Homeland Security to have failed to comply with the REAL ID Act: American Samoa, Minnesota, Missouri, Washington As of March 2, 2015, Jefferson Lab will begin using the REAL ID Act verification for all

  13. Airless drying -- Developments since IDS'94

    SciTech Connect (OSTI)

    Stubbing, T.J.

    1999-09-01

    Since its introduction to IDS'94 delegates, significant progress has been made with the development of airless drying technology. The ceramic industry internationally is beginning to benefit from both the energy use and drying time reductions it achieves, while on the basis of further theoretical work carried out since 1993 other industries, including the bioenergy sector, should also soon begin to exploit its advantages. As global warming becomes a reality and oil reserves decline, superheated steam drying and gasification of biomass will contribute to the mitigation of those problems.

  14. Data_ID_thumbnail.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information Data_ID_thumbnail

  15. DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham, WA

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Bellingham, WA, that achieves HERS 43 without PV or HERS 13 with 3.2 kW of PV.

  16. Advance Patent Waiver W(A)2010-041 | Department of Energy

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

    Advance Patent Waiver W(A)2010-041 This document waives certain patent rights the Department of Energy (DOE) has to inventions conceived or first actually reduced to practice by W....

  17. Best Practices Case Study: Devoted Builders, LLC, Mediterrtanean Villas, Pasco,WA

    SciTech Connect (OSTI)

    2010-12-01

    Devoted Builders of Kennewick, WA worked with Building America's BIRA team to achieve the 50% Federal tax credit level energy savings on 81 homes at its Mediterranean Villas community in eastern Washington.

  18. W.A. Parish Post-Combustion CO{sub 2} Capture and Sequestration...

    Office of Scientific and Technical Information (OSTI)

    Title: W.A. Parish Post-Combustion COsub 2 Capture and Sequestration Project Phase 1 ... and reduce its emissions of carbon dioxide (COsub 2) and other greenhouse gases (GHGs). ...

  19. Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1)

    Broader source: Energy.gov [DOE]

    DOE referred the matter of Fisher & Paykel Appliances residential clothes washer, model WA42T26GW1, to the EPA for appropriate action after DOE testing showed that the model does not meet the ENERGY STAR specification.

  20. DOE - Office of Legacy Management -- Lowman Mill Site - ID 01

    Office of Legacy Management (LM)

    Lowman Mill Site - ID 01 Site ID (CSD Index Number): ID.01 Site Name: Lowman Mill Site Site Summary: Site Link: External Site Link: Lowman, Idaho, Disposal Site Alternate Name(s): Lowman Mill Site Uranium Mill in Lowman Alternate Name Documents: Location: Lowman, Idaho Location Documents: Historical Operations (describe contaminants): Historical Operations Documents: Eligibility Determination: Uranium Mill Tailings Radiation Control Act (UMTRCA) Title I site Eligibility Determination Documents:

  1. WA_97_027_GENERAL_ATOMICS__CORPORATION_Waiver_of_Domestic_an.pdf |

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

    Department of Energy 7_027_GENERAL_ATOMICS__CORPORATION_Waiver_of_Domestic_an.pdf WA_97_027_GENERAL_ATOMICS__CORPORATION_Waiver_of_Domestic_an.pdf (8.04 MB) More Documents & Publications WA_99_014_UNITED_SOLAR_SYSTEMS_CORP_Waiver_of_Domestic_and_F.pdf Inspection Report: INS-O-00-02 Class Patent Waiver W(C)2004-001

  2. 2011 Annual Planning Summary for Idaho Operations Office (ID...

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

    The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within the Idaho Operations Office (ID) (See Environmental Management). ...

  3. RAPID/Roadmap/12-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Contact Us State Biological Resource Considerations (12-ID-a) The Idaho Department of Fish & Game preserves wildlife against any direct take, including wild animals, birds, and...

  4. RAPID/Roadmap/14-ID-d | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us 401 Water Quality Certification (14-ID-d) IDEQ is...

  5. RAPID/Roadmap/3-ID-b | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Land Access Overview (3-ID-b) If a project is...

  6. RAPID/Roadmap/14-ID-f | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us 401 NPDES Water Quality Certification (14-ID-f) Idaho...

  7. RAPID/Roadmap/4-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Exploration Process (4-ID-a) 04IDAStateExploration...

  8. Temporary EPA ID Number Request | Open Energy Information

    Open Energy Info (EERE)

    Temporary EPA ID Number RequestLegal Abstract A developer that may "generate hazardous waste only from an episodic event" may instead apply for a temporary hazardous waste...

  9. RAPID/Roadmap/15-ID-b | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Tier II Operating Permit (15-ID-b) Tier II Operating Permits are...

  10. RAPID/Roadmap/15-ID-a | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Permit to Construct (15-ID-a) The Idaho Department of Environmental...

  11. RAPID/Roadmap/8-ID-e | Open Energy Information

    Open Energy Info (EERE)

    ID-e < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools...

  12. RAPID/Roadmap/3-ID-e | Open Energy Information

    Open Energy Info (EERE)

    ID-e < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools...

  13. RAPID/Roadmap/14-ID-b | Open Energy Information

    Open Energy Info (EERE)

    RAPIDRoadmap14-ID-b < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal...

  14. RAPID/Roadmap/8-ID-a | Open Energy Information

    Open Energy Info (EERE)

    RAPIDRoadmap8-ID-a < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower...

  15. RAPID/Roadmap/6-ID-b | Open Energy Information

    Open Energy Info (EERE)

    RAPIDRoadmap6-ID-b < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower...

  16. RAPID/Roadmap/14-ID-c | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us Underground Injection Control Permit (14-ID-c) Rule 40 of the Idaho Department of Water Resources' Drilling for...

  17. Microsoft Word - DOE-ID-INL-14-057.docx

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

    These include the controlsfixtures, call station, elevator doors, screened gate, motor ... DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: ...

  18. Microsoft Word - DOE-ID-INL-15-074.docx

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

    Fuels Complex (MFC)-1741 Modular Guard Station SECTION B. Project Description and ... machine shop activities), assembly, and DOE-ID NEPA CX DETERMINATION Idaho National ...

  19. Microsoft Word - DOE-ID-INL-11-010.doc

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

    Work will involve the removal of the inspection station, material transporters, laser ... Yes No Approved by Richard Kauffman, acting DOE-ID NEPA Compliance Officer on 8312011.

  20. Microsoft Word - DOE-ID-INL-13-014.doc

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

    4 SECTION A. Project Title: Iona Relay Station Maintenance SECTION B. Project Description: ... B to Subpart D categorical exclusions: DOE-ID NEPA CX DETERMINATION Idaho National ...

  1. Microsoft Word - DOE-ID-INL-14-035.docx

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

    and cooling would be placed to house the electrical and operator station components. ... Facilities" and 40 CFR part 280, DOE-ID NEPA CX DETERMINATION Idaho National ...

  2. Microsoft Word - DOE-ID-INL-15-062.docx

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

    The inactive Truck Loading station is a significant source for water intrusion. Removal of ... safety and environmental improvements" DOE-ID NEPA CX DETERMINATION Idaho National ...

  3. Microsoft Word - DOE-ID-INL-15-007.docx

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

    water - cooling water lines above shower station will interfere with the shower linkage. ... Act) Yes No Approved by Jack Depperschmidt, DOE-ID NEPA Compliance Officer on: 217

  4. Microsoft Word - DOE-ID-INL-16-045.docx

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

    Frequency (HF) Shared Resources (SHARES) Station SECTION B. Project Description and ... onto 100' Tower at the SAF Bldg. DOE-ID NEPA CX DETERMINATION Idaho National ...

  5. Microsoft Word - DOE-ID-INL-14-054.docx

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

    and the end user devices (hand held, mobile, and base station radios) currently deployed. ... In addition, the project would practice sustainable acquisition, as DOE-ID NEPA CX ...

  6. Microsoft Word - DOE-ID-INL-16-041.docx

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

    *Transfer piping and poly bottle sample station piping to the first isolation valves from ... Disturbing Cultural or Biological Resources DOE-ID NEPA CX DETERMINATION Idaho National ...

  7. Microsoft Word - DOE-ID-INL-14-008.doc

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

    ... and operation of machinery and equipment (including, but not limited to, laboratory equipment, electronic DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 ...

  8. RAPID/Roadmap/11-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Cultural Considerations (11-ID-a) Idaho has a statute that provides state...

  9. RAPID/Roadmap/5-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Geothermal Hydropower Solar Tools Contribute Contact Us Drilling and Well Development (5-ID-a) 05IDADrillingWellDevelopment.pdf Error creating thumbnail: Page number not in...

  10. RAPID/Roadmap/17-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Contact Us Aesthetic Resource Assessment (17-ID-a) 17IDAAestheticResourceAssessment.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  11. RAPID/Roadmap/9-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Environmental Review Process (9-ID-a) Add overview. 09IDAStateEnvironmentalProcess.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  12. YEAR","MONTH","STATE","UTILITY_ID","UTILITY_NAME","RESIDENTIAL...

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

    ...132,20812,258,0,0,21070 2014,1,"VT",7601,"Green Mountain Power Corp",44.92,18.17,0,0,63.09... 2014,1,"WA",15500,"Puget Sound Energy Inc",402.062,57.135,0,0,459.197,32164.962...

  13. Baseline and Target Values for PV Forecasts: Toward Improved...

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

    Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting ... Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting Jie ...

  14. Using Wikipedia to forecast diseases

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

    Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. November 13, 2014 Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Contact Nancy Ambrosiano Communications Office (505)

  15. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

    Zip: 94965 Region: Bay Area Sector: Services Product: Intelligent Monitoring and Forecasting Services Year Founded: 2010 Website: www.forecastenergy.net Coordinates:...

  16. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect (OSTI)

    Lew, D.

    2011-04-01

    This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

  17. The forecast calls for flu

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

    Science on the Hill: The forecast calls for flu Using mathematics, computer programs, ... We're getting close. Using mathematics, computer programs, statistics and information ...

  18. Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    DOE Patents [OSTI]

    Desprez, Pierre-Yves; Campisi, Judith

    2014-09-30

    A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

  19. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1.CNTAT ID...

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

    ... plan(s) to maximize the contribution predictability (i.e. forecasting accuracy) and contain current and future costs, to include rationale for selection of all plan assumptions ...

  20. JLab Registration/International Services - Researcher/Visitor ID

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

    Requirements Researcher/Visitor ID Requirements CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS U.S. Citizens must bring a valid Government issued ID card that contains a photo such as a passport or valid driver's license. Non-driver photo identification cards issued by the Department of Motor Vehicles can be used as proof of identification. Lawful Permanent Resident of the United States must bring their Green Card or passport with valid I-551 stamp AND a valid government issued

  1. Upcoming Funding Opportunity for Wind Forecasting Improvement...

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

    Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am ...

  2. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

    Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast AgencyCompany Organization: United States Department of Energy Sector:...

  3. Project Profile: Forecasting and Influencing Technological Progress...

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

    Soft Costs Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar ...

  4. National Oceanic and Atmospheric Administration Provides Forecasting...

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

    ... will share their expertise with CLASIC and CHAPS forecasters and project leaders as they consult on the forecast that will determine the day's operations plan. -- Storm Prediction ...

  5. Intermediate future forecasting system

    SciTech Connect (OSTI)

    Gass, S.I.; Murphy, F.H.; Shaw, S.H.

    1983-12-01

    The purposes of the Symposium on the Department of Energy's Intermediate Future Forecasting System (IFFS) were: (1) to present to the energy community details of DOE's new energy market model IFFS; and (2) to have an open forum in which IFFS and its major elements could be reviewed and critiqued by external experts. DOE speakers discussed the total system, its software design, and the modeling aspects of oil and gas supply, refineries, electric utilities, coal, and the energy economy. Invited experts critiqued each of these topics and offered suggestions for modifications and improvement. This volume documents the proceedings (papers and discussion) of the Symposium. Separate abstracts have been prepared for each presentation for inclusion in the Energy Data Base.

  6. Advance Patent Waiver W(A)2009-058 | Department of Energy

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

    09-058 Advance Patent Waiver W(A)2009-058 This document waives certain patent rights the Department of Energy (DOE) has to inventions conceived or first actually reduced to practice by SOLAR TURBINES INC under agreement DE-FC26-09NT05873, as the DOE has determined that granting such a waiver best serves the interests of the United States and the general public. Advance Patent Waiver W(A)2009-058 (182.99 KB) More Documents & Publications

  7. Advance Patent Waiver W(A)2010-006 | Department of Energy

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

    0-006 Advance Patent Waiver W(A)2010-006 This document waives certain patent rights the Department of Energy (DOE) has to inventions conceived or first actually reduced to practice by HYDROGEN ENERGY OF CALIFORNIA under agreement DE-FE0000663, as the DOE has determined that granting such a waiver best serves the interests of the United States and the general public. Advance Patent Waiver W(A)2010-006 (229.05 KB) More Documents & Publications Identified Patent Waiver W(I)2010-006 Identified

  8. Sumas, WA Liquefied Natural Gas Imports from Canada (Million Cubic Feet)

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

    from Canada (Million Cubic Feet) Sumas, WA Liquefied Natural Gas Imports from Canada (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 5 2015 4 4 2 1 2016 1 2 1 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Sumas, WA LNG Imports from Canada

  9. Vermont Hazardous Waste Handler Site ID Form | Open Energy Information

    Open Energy Info (EERE)

    to library Legal Document- Permit ApplicationPermit Application: Vermont Hazardous Waste Handler Site ID FormLegal Abstract This form is used to notify the Vermont Agency of...

  10. T-642: RSA SecurID update to Customers

    Broader source: Energy.gov [DOE]

    RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products

  11. RAPID/Roadmap/19-ID-a | Open Energy Information

    Open Energy Info (EERE)

    to 19-ID-a.5 - Is a Change in Point of Diversion, Place of Use, Period of Use, or Nature of Use Needed for an Existing Water Right If the proposed activity will require a...

  12. Microsoft Word - DOE-ID-INL-13-015.doc

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

    ... it out when required. 3. Bring in a self-contained comfort station and pump when required. ... DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: ...

  13. Microsoft Word - DOE-ID-INL-16-004.docx

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

    (N&HS) personnel with a new field station office near the Safety Test Facility ... DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: ...

  14. Microsoft Word - DOE-ID-14-042.docx

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

    ... Idaho National Laboratory Page 2 of 3 CX Posting No.: DOE-ID-INL-14-042 Figure 1. Proposed SHARES Station Configuration at the SAF Building Construction is estimated to ...

  15. Microsoft Word - DOE-ID-INL-15-073.docx

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

    DETERMINATON Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-15-073 ... This will drain to the outside collection lift station sump which would pump the ...

  16. Microsoft Word - DOE-ID-INL-11-007.doc

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

    ... The FASS is a central station type vacuum system that continuously samples air within the ... 2012 Approximate Cost: 12,000,000 DOE-ID NEPA CX DETERMINATION IDAHO NATIONAL ...

  17. Microsoft Word - DOE-ID-INL-16-005.docx

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

    The trailer will serve as a comfort station for use by men and women in remote areas ... that under reasonably foreseeable DOE-ID NEPA CX DETERMINATION Idaho National ...

  18. Microsoft Word - DOE-ID-INL-13-007.doc

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

    of the U.S. Department of Energy Idaho Operations office (DOE-ID) and INL Management. ... long-term maintenance of the seismic station will be funded as part of BEA's annually ...

  19. RAPID/Roadmap/3-ID-a | Open Energy Information

    Open Energy Info (EERE)

    the IDL becomes involved only if they are notified and the Land Board requests their involvement. 3-ID-a.3 - Consultation (optional) IDL may meet with any other state agency to...

  20. Beamline 4-ID-C | Advanced Photon Source

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

    C 4-ID-C Home Recent Publications XSD-MM Home MM Advisory Committees FAQs Beamline Info Instrumentation Magnet Materials Internal Useful Links Current APS status ESAF System GUP...

  1. RAPID/Roadmap/6-ID-a | Open Energy Information

    Open Energy Info (EERE)

    load A load is overlegal if the load is: width over 8'6"; Over 14' tall; Truck and trailer combined are over 75' long; or The load weighs over 80,000 pounds. 6-ID-a.2 - Meet...

  2. Microsoft Word - DOE-ID-INL-15-070.docx

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

    DOE-ID-INL-15-070 excluded petroleum and natural gas products that pre-exist in the environment such that there would be uncontrolled or unpermitted releases; (4) have the...

  3. RAPID/Roadmap/3-ID-d | Open Energy Information

    Open Energy Info (EERE)

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Land Use Permit (3-ID-d) The Idaho Department of Lands issues Land Use Permits for...

  4. RAPID/Roadmap/6-ID-c | Open Energy Information

    Open Energy Info (EERE)

    Tools Contribute Contact Us Drinking Water Permit (6-ID-c) 06IDCDrinkingWaterPermit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  5. RAPID/Roadmap/7-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Contact Us Power Plant Siting Process (7-ID-a) 07IDAPowerPlantSitingConstruction.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  6. RAPID/Roadmap/13-ID-a | Open Energy Information

    Open Energy Info (EERE)

    Contribute Contact Us State Land Use Assessment (13-ID-a) 13IDALandUseAssessment.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  7. Microsoft Word - DOE-ID-INL-14-034.docx

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

    No.: DOE-ID-INL-14-034 pollutants, contaminants, or CERCLA-excluded petroleum and natural gas products that pre-exist in the environment such that there would be uncontrolled...

  8. RAPID/Roadmap/18-ID-b | Open Energy Information

    Open Energy Info (EERE)

    demonstrate insurance coverage that would protect the community from incurring clean-up costs in the event of the developer's insolvency. 18-ID-b.5 - Facility siting license...

  9. Physicists ID Mechanism that Stabilizes Plasma in Tokamaks

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

    Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Calculations Run at NERSC Create 3D Simulations of Fusion Plasmas January 4, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 jardinfusion A cross-section of the virtual plasma showing where the magnetic field lines intersect the plane. The central section has field lines that rotate exactly once. Image: Stephen Jardin A team of physicists led by Stephen Jardin of

  10. NERSC Helps Physicists ID New Molecules With Unique Features

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

    NERSC Helps Physicists ID New Molecules With Unique Features NERSC Helps Physicists ID New Molecules With Unique Features Hollow magnetic cage molecules may have applications in technology, healthcare August 10, 2013 NERSC supercomputing resources helped Virginia Commonwealth University (VCU) researchers determine it may be possible to create large, hollow magnetic cage molecules that could be used in medicine as a drug delivery system to noninvasively treat tumors and in other emerging

  11. Poster - DOE Data ID Service | OSTI, US Dept of Energy, Office...

    Office of Scientific and Technical Information (OSTI)

    ID Service Document Files and References Available Downloads for this Document: applicationpdf icon Poster DOE Data ID Service Last updated on Tuesday 22 December

  12. Science on Tap - Forecasting illness

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

    Science on Tap - Forecasting illness Science on Tap - Forecasting illness WHEN: Mar 17, 2016 5:30 PM - 7:00 PM WHERE: UnQuarked Wine Room 145 Central Park Square, Los Alamos, New Mexico 87544 USA CONTACT: Linda Anderman (505) 665-9196 CATEGORY: Bradbury INTERNAL: Calendar Login Event Description Mark your calendars for this event held every third Thursday from 5:30 to 7 p.m. A short presentation is followed by a lively discussion on a different subject each month. Forecasting the flu (and other

  13. Acquisition Forecast Download | Department of Energy

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

    Acquisition Forecast Download Acquisition Forecast Download Click on the link to download a copy of the DOE HQ Acquisition Forecast. Acquisition-Forecast-2016-07-20.xlsx (72.85 KB) More Documents & Publications Small Business Program Manager Directory EA-1900: Notice of Availability of a Draft Environmental Assessment Assessment Report: OAS-V-15-01

  14. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  15. DOE Zero Energy Ready Home Case Study: Clifton View Homes, Whidbey Island, WA

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home on Whidbey Island, WA, that scores HERS 37 without PV or HERS -13 with 10 kW PV, enough to power the home and an electric car. The two-story custom home...

  16. Wind Forecast Improvement Project Southern Study Area Final Report...

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

    Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern ...

  17. Picture of the Week: Forecasting Flu

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

    3 Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? March 6, 2016 flu epidemics modellled using social media Watch the video on YouTube. Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? Using real-time data from Wikipedia and social media, Sara del

  18. DOE Zero Energy Ready Home Case Study: TC Legend, Seattle, WA, Custom Home

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready Home in Seattle, WA, that scored HERS 37 without PV, HERS -1 with PV. This 1,915-square-foot custom home has SIP walls and roof, R-20 XPS under the slab, triple-pane windows, an air to water heat pump for radiant heat, and balanced ventilation with timer-controlled fans to bring in and exhaust air.

  19. DOE Zero Energy Ready Home Case Study: Clifton View Homes, Coupeville, WA, Systems Home

    Broader source: Energy.gov [DOE]

    Case-study of a DOE Zero Energy Ready Home on Whidbey Island, WA, that scored HERS 45 without PV. This 2,908-square-foot custom/system home has a SIP roof and walls, R-20 rigid foam under slab, triple-pane windows, ground source heat pump for radiant floor heat, and a unique balanced ventilation system using separate exhaust fans to bring air into and out of home.

  20. DOE Zero Energy Ready Home Case Study: Dwell Development, Seattle, WA, Systems Home

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready Home in Seattle, WA, that scored HERS 34 without PV. This 2,000-square-foot system home has R-45 double-stud walls, an unvented flat roof with 2 inches of spray foam plus 18 inches blown cellulose, R-42 XPS under slab, triple-pane windows, and a ductless mini-split heat pump.

  1. HIA 2015 DOE Zero Energy Ready Home Case Study: Dwell Development, Reclaimed Modern, Seattle, WA

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

    Dwell Development Reclaimed Modern Seattle, WA DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed

  2. DOE Zero Energy Ready Home Case Study 2013: Clifton View Homes, Coupeville, WA

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

    Clifton View Homes Coupeville, WA BUILDING TECHNOLOGIES OFFICE The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specifi ed in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Advanced technologies are designed in to give you

  3. DOE Zero Energy Ready Home Case Study 2013: Dwell Development, Seattle, WA

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

    Dwell Development Seattle, WA BUILDING TECHNOLOGIES OFFICE The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specifi ed in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Advanced technologies are designed in to give you superior

  4. DOE Zero Energy Ready Home Case Study 2013: TC Legend, Seattle, WA

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

    TC Legend Homes Seattle, WA BUILDING TECHNOLOGIES OFFICE The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specifi ed in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Advanced technologies are designed in to give you superior

  5. The Value of Wind Power Forecasting

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

    ... day-ahead wind generation forecasts yields an average of 195M savings in annual operating costs. Figure 6 shows how operating cost savings vary with improvements in forecasting. ...

  6. EIA lowers forecast for summer gasoline prices

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

    EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be ... according to the new monthly forecast from the U.S. Energy Information Administration. ...

  7. Wind Forecasting Improvement Project | Department of Energy

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

    Forecasting Improvement Project Wind Forecasting Improvement Project October 3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. In July, the Department of Energy launched a $6 million project with the National Oceanic and Atmospheric Administration (NOAA) and private partners to improve wind forecasting. Wind power forecasting allows system operators to anticipate the electrical output of wind plants and adjust the electrical

  8. UPF Forecast | Y-12 National Security Complex

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

    Subcontracting / Subcontracting Forecasts / UPF Forecast UPF Forecast UPF Procurement provides the following forecast of subcontracting opportunities. Keep in mind that these requirements may be revised or cancelled, depending on program budget funding or departmental needs. If you have questions or would like to express an interest in any of the opportunities listed below, contact UPF Procurement. Descriptiona Methodb NAICS Est. Dollar Range RFP release/ Award datec Buyer/ Phone Commodities

  9. Uncertainty Reduction in Power Generation Forecast Using Coupled...

    Office of Scientific and Technical Information (OSTI)

    Research Org: Pacific Northwest National Laboratory (PNNL), Richland, WA (US) Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: Power system ...

  10. Microsoft Word - 140602DOE-ID_OperationsSummary.docx

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

    , 2014 DOE-ID Operations Summary For the Period April 8, 2014 through May 15, 2014 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced

  11. Microsoft Word - DOE-ID-10-003.doc

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

    3 SECTION A. Project Title: Agreement in Principle, INL Oversight, Idaho DEQ SECTION B. Project Description The state of Idaho receives funding from the Department of Energy to conduct independent oversight and monitoring of DOE-ID operations. Oversight activities and monitoring actions that will be conducted by the state of Idaho include general project management and administrative actions, data management, providing information to the public, emergency response coordination, and environmental

  12. Microsoft Word - DOE-ID-INL-12-022.docx

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

    IDAHO NATIONAL LABORATORY Page 1 of 3 CX Posting No.: DOE-ID-INL-12-022 SECTION A. Project Title: Radiological Dispersal Device (RDD)/Improvised Nuclear Device (IND) Material Training Activities and Evaluations Using Radiation Emitting Sources/Material/Devices - Overarching SECTION B. Project Description This Environmental Checklist (EC) will be an overarching EC for future training as described in this EC. Work Description The purpose of this overarching EC is to plan, prepare, coordinate,

  13. Microsoft Word - DOE-ID-INL-15-045.docx

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

    7 CX Posting No.: DOE-ID-INL-15-045 SECTION A. Project Title: Army Medical Department (AMEDD) Radiological Dispersal Device/Improvised Nuclear Device (RDD/IND) Material Training Activities and Evaluations SECTION B. Project Description and Purpose: Rev 5 This Environmental Checklist (EC) incorporates and supercedes EC INL-12-087 (Overarching [OA] 17) and its revisions. The training exercises described in the original EC and Revisions 1 and 3 will be repeated during August 2015, including the use

  14. Finding Utility Companies Under a Given Utility ID | OpenEI Community

    Open Energy Info (EERE)

    utility company pages under a given utility id. From the Special Ask page, in the query box enter the following: Category:Utility CompaniesEiaUtilityId::15248 substituting...

  15. EIS-0471: Areva Eagle Rock Enrichment Facility in Bonneville County, ID |

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

    Department of Energy 1: Areva Eagle Rock Enrichment Facility in Bonneville County, ID EIS-0471: Areva Eagle Rock Enrichment Facility in Bonneville County, ID May 20, 2011 delete me old download page duplicate

  16. DOI-BLM-ID-T020-2012-0003-CX | Open Energy Information

    Open Energy Info (EERE)

    ID-T020-2012-0003-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-T020-2012-0003-CX CX for GeothermalExploration CX for Seismic Survey at ?? Geothermal...

  17. DOE Data ID Service Benefits | OSTI, US Dept of Energy Office...

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

    DOE Data ID Service Benefits DataCite | Contact DOE Data ID Service When you submit metadata to OSTI about a dataset, you are basically "announcing" that it exists and you are ...

  18. DOE Data ID Service Background | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service Background DataCite | Contact DOE Data ID Service In 2011, the DOE Office of Scientific and Technical Information (OSTI) joined DataCite to facilitate citing, ...

  19. Supply Forecast and Analysis (SFA)

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

    Matthew Langholtz Science Team Leader Oak Ridge National Laboratory DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Supply Forecast and Analysis (SFA) 2 | Bioenergy Technologies Office Goal Statement * Provide timely and credible estimates of feedstock supplies and prices to support - the development of a bioeconomy; feedstock demand analysis of EISA, RFS2, and RPS mandates - the data and analysis of other projects in Analysis and Sustainability, Feedstock Supply and Logistics,

  20. DOE Zero Energy Ready Home Case Study 2014: Clifton View Homes, Leganza Residence, Greenbank, WA

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

    Leganza Residence, Greenbank, WA DOE ZERO ENERGY READY HOME(tm) CASE STUDY The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in

  1. DOE Zero Energy Ready Home Case Study 2014: TC Legend Homes, Montlake Modern, Seattle, WA

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

    Montlake Modern Seattle, WA DOE ZERO ENERGY READY HOME(tm) CASE STUDY The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to

  2. DOE Zero Ready Home Case Study: Clifton View Homes, Kaltenbach Residence, Clinton, WA

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

    Kaltenbach Residence, Clinton, WA DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to give

  3. DOE Zero Ready Home Case Study: TC Legend Homes, Cedarwood, Bellingham, WA

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

    Cedarwood Bellingham, WA DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to give you

  4. UNITED STATES OF AMERICA FEDERAL ENERGY REGULATORY COMMISSION

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

    (WA), Sen. Maria Cantwell (OR), Rep. Norman Dicks (WA), Rep. Rick Larsen (WA), Rep. Adam Smith (WA), Rep. Greg Walden (OR), Rep. Mike Simpson (ID), Rep. David Reichert (WA),...

  5. DOE-ID Procurement Services � the action team

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

    DOE-ID Procurement Services � the action team Passage of the American Recovery and Reinvestment Act of 2009 included billions of dollars in additional funding for energy efficiency improvements to U.S. homes and businesses. By early July, the U.S. Department of Energy was hard pressed to get that funding to the communities who needed it to reduce their power bills. That�s when DOE�s Office of Energy Efficiency asked the department�s Idaho Operations Office for support from DOE-ID�s

  6. Material Safety Data Sheet MSDS ID NO.: 0137SPE012

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

    Material Safety Data Sheet MSDS ID NO.: 0137SPE012 Revision date: 05/25/2011 1. CHEMICAL PRODUCT AND COMPANY INFORMATION Product name: Speedway E85 Synonym: Speedway ED75/ED85; E-75; E75; E-85; E85; Ethanol/Gasoline Fuel Blend; Fuel Ethanol ED75/ED85 Chemical Family: Gasoline/Ethanol Formula: Mixture Manufacturer: Speedway LLC P.O. Box 1500 Enon, OH 45501 Other information: 419-421-3070 Emergency telephone number: 877-627-5463 2. COMPOSITION/INFORMATION ON INGREDIENTS E85 is a mixture of ethyl

  7. Microsoft Word - DOE-ID-INL-10-017.doc

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

    DOE-ID-INL-10-017 SECTION A. Project Title: ATR Complex Dial Room. SECTION B. Project Description: The proposed project is to construct and operate a new dial room at the Advanced Test Reactor Complex (ATR Complex) (formerly known as the Test Reactor Area [TRA]) in order to meet the U.S. Department of Energy Office of Nuclear Energy programmatic needs and to provide ongoing critical support at the Idaho National Laboratory (INL). The existing telecommunication and data systems located at the

  8. Microsoft Word - DOE-ID-INL-12-016.doc

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

    No.: DOE-ID-INL-12-016 SECTION A. Project Title: Reverse Osmosis System Removal SECTION B. Project Description: The project will remove a reverse osmosis water treatment system (FU-HA-101) from TAN 681 room 182. The system is out-of-service, with no intent of future use. Work will involve removal of the reverse osmosis system, and associated plumbing/piping and electrical lines and conduit. The project will clear the area of obstacles and tripping hazards associated with unused/unnecessary

  9. Microsoft Word - DOE-ID-INL-16-080.docx

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

    CX Determination Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-16-080 SECTION A. Project Title: Test Reactor Area (TRA)-621 Fume Hood Removal SECTION B. Project Description and Purpose: During the re-roofing of building TRA-621 at the Advanced Test Reactor (ATR) Complex, the out of service fume hood in the facility was determined to be no longer needed and needs to be removed. The proposed action would remove the fume hood, associated ducting, electronics, heaters,

  10. AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I '. CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    SOLICITATIONIMODIFICATION OF CONTRACT I '. CONTRACT ID CODE BWXT Pantex, LLC Route 726, Mt. Athos Road Lynchburg, VA 24506 PAGE I OF 12 PAGES Albuquerque, NM 871 85-5400 I Amarillo, TX 79120 I I 90. DATED (SEE ITEM 1 1 ) 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) I 10A. MODIFICATION OF CONTRACTIORDER NO. 2. AMENDMENT/MODIFICATION NO. MI67 9A. AMENDMENT OF SOLICITATION NO. I 1 DE-AC04-00AL66620 100. DATED (SEE ITEM 13) 3. EFFECTIVE DATE See Block 16C Offers must

  11. ARM - CARES - Tracer Forecast for CARES

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

    CampaignsCarbonaceous Aerosols and Radiative Effects Study (CARES)Tracer Forecast for CARES Related Links CARES Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Field Updates CARES Wiki Campaign Images Experiment Planning Proposal Abstract and Related Campaigns Science Plan Operations Plan Measurements Forecasts News News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Tracer Forecasts for CARES This webpage

  12. LED Lighting Forecast | Department of Energy

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

    Publications » Market Studies » LED Lighting Forecast LED Lighting Forecast The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications estimates the energy savings of LED white-light sources over the analysis period of 2013 to 2030. With declining costs and improving performance, LED products have been seeing increased adoption for general illumination applications. This is a positive development in terms of energy consumption, as LEDs use significantly

  13. NREL: Resource Assessment and Forecasting Home Page

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

    are used to plan and develop renewable energy technologies and support climate change research. Learn more about NREL's resource assessment and forecasting research:...

  14. Development and Demonstration of Advanced Forecasting, Power...

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

    and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices 63wateruseoptimizationprojectanlgasper.ppt (7.72 MB) More ...

  15. Forecast and Funding Arrangements - Hanford Site

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

    Annual Waste Forecast and Funding Arrangements About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford...

  16. NREL: Resource Assessment and Forecasting - Webmaster

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

    email address: Your message: Send Message Printable Version Resource Assessment & Forecasting Home Capabilities Facilities Working with Us Research Staff Data & Resources Did...

  17. Funding Opportunity Announcement for Wind Forecasting Improvement...

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

    There is no cost to participate and all applicants are encouraged to attend. To join the ... Related Articles Upcoming Funding Opportunity for Wind Forecasting Improvement Project in ...

  18. Module 6 - Metrics, Performance Measurements and Forecasting...

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

    This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices. In addition, this module will outline forecasting tools such as ...

  19. Sensing, Measurement, and Forecasting | Grid Modernization | NREL

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

    Sensing, Measurement, and Forecasting NREL measures weather resources and power systems, forecasts renewable resources and grid conditions, and converts measurements into operational intelligence to support a modern grid. Photo of solar resource monitoring equipment Modernizing the grid involves assessing its health in real time, predicting its behavior and potential disruptions, and quickly responding to events-which requires understanding vital parameters throughout the electric

  20. DOEdataID_C218_4X9.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information DOEdataID_C218_4X9

  1. Measurements of Turbulence at Two Tidal Energy Sites in Puget Sound, WA

    SciTech Connect (OSTI)

    Thomson, Jim; Polagye, Brian; Durgesh, Vibhav; Richmond, Marshall C.

    2012-06-05

    Field measurements of turbulence are pre- sented from two sites in Puget Sound, WA (USA) that are proposed for electrical power generation using tidal current turbines. Rapidly sampled data from multiple acoustic Doppler instruments are analyzed to obtain statistical mea- sures of fluctuations in both the magnitude and direction of the tidal currents. The resulting turbulence intensities (i.e., the turbulent velocity fluctuations normalized by the harmonic tidal currents) are typically 10% at the hub- heights (i.e., the relevant depth bin) of the proposed turbines. Length and time scales of the turbulence are also analyzed. Large-scale, anisotropic eddies dominate the energy spectra, which may be the result of proximity to headlands at each site. At small scales, an isotropic turbulent cascade is observed and used to estimate the dissipation rate of turbulent kinetic energy. Data quality and sampling parameters are discussed, with an emphasis on the removal of Doppler noise from turbulence statistics.

  2. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

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

    Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory M Jensen MJ ... Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory M Jensen, ...

  3. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in ...

  4. Data Collection and Comparison with Forecasted Unit Sales of...

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

    Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types PDF icon Data Collection ...

  5. Underground Storage Tank Integrated Demonstration (UST-ID). Technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The DOE complex currently has 332 underground storage tanks (USTs) that have been used to process and store radioactive and chemical mixed waste generated from weapon materials production. Very little of the over 100 million gallons of high-level and low-level radioactive liquid waste has been treated and disposed of in final form. Two waste storage tank design types are prevalent across the DOE complex: single-shell wall and double-shell wall designs. They are made of stainless steel, concrete, and concrete with carbon steel liners, and their capacities vary from 5000 gallons (19 m{sup 3}) to 10{sup 6} gallons (3785 m{sup 3}). The tanks have an overburden layer of soil ranging from a few feet to tens of feet. Responding to the need for remediation of tank waste, driven by Federal Facility Compliance Agreements (FFCAs) at all participating sites, the Underground Storage Tank Integrated Demonstration (UST-ID) Program was created by the US DOE Office of Technology Development in February 1991. Its mission is to focus the development, testing, and evaluation of remediation technologies within a system architecture to characterize, retrieve, treat to concentrate, and dispose of radioactive waste stored in USTs at DOE facilities. The ultimate goal is to provide safe and cost-effective solutions that are acceptable to the public and the regulators. The UST-ID has focused on five DOE locations: the Hanford Site, which is the host site, in Richland, Washington; the Fernald Site in Fernald, Ohio; the Idaho National Engineering Laboratory near Idaho Falls, Idaho; the Oak Ridge Reservation in Oak Ridge, Tennessee, and the Savannah River Site in Savannah River, South Carolina.

  6. OSTIblog Articles in the DOE Data ID Service Topic | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    ID Service Topic OSTI Helping High Energy Physics Collaboration to Register Datasets by Sara ... researcher in the High Energy Physics (HEP) community to register scientific ...

  7. IDS-NF Impact of Neutrino Cross Section Impact of Neutrino Cross Section

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

    IDS-NF Impact of Neutrino Cross Section Impact of Neutrino Cross Section Knowledge on Oscillation Knowledge on Oscillation Measurements Measurements M. Sorel, IFIC (CSIC and U. of Valencia) IDS-NF, RAL, Jan 16-17 2008 M. Sorel - IFIC (Valencia U. & CSIC) 2 IDS-NF Neutrino Cross Sections: At What Energies Needed? Superbeams: Solid: T2K Dashed: NovA M. Sorel - IFIC (Valencia U. & CSIC) 3 IDS-NF Neutrino Cross Sections: At What Energies Needed? Superbeams: Solid: T2K Dashed: NovA Beta

  8. Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)

    SciTech Connect (OSTI)

    Jared Verba; Michael Milvich

    2008-05-01

    Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.

  9. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01

    This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

  10. Coal Fired Power Generation Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Coal Fired Power Generation Market Forecast Home There are currently no posts in this category. Syndicate...

  11. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Offshore Lubricants Market Forecast Home There are currently no posts in this category. Syndicate...

  12. Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

    2013-10-01

    This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

  13. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  14. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

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

    Martin, A. V.

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  15. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

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

    Martin, A. V.

    2012-08-25

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  16. Flood Forecasting in River System Using ANFIS

    SciTech Connect (OSTI)

    Ullah, Nazrin; Choudhury, P.

    2010-10-26

    The aim of the present study is to investigate applicability of artificial intelligence techniques such as ANFIS (Adaptive Neuro-Fuzzy Inference System) in forecasting flood flow in a river system. The proposed technique combines the learning ability of neural network with the transparent linguistic representation of fuzzy system. The technique is applied to forecast discharge at a downstream station using flow information at various upstream stations. A total of three years data has been selected for the implementation of this model. ANFIS models with various input structures and membership functions are constructed, trained and tested to evaluate efficiency of the models. Statistical indices such as Root Mean Square Error (RMSE), Correlation Coefficient (CORR) and Coefficient of Efficiency (CE) are used to evaluate performance of the ANFIS models in forecasting river flood. The values of the indices show that ANFIS model can accurately and reliably be used to forecast flood in a river system.

  17. energy data + forecasting | OpenEI Community

    Open Energy Info (EERE)

    energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in...

  18. Text-Alternative Version LED Lighting Forecast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications estimates the energy savings of LED white-light sources over the analysis period of 2013 to 2030....

  19. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

    This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

  20. Science on the Hill: The forecast calls for flu

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

    The forecast calls for flu The forecast calls for flu Using mathematics, computer programs, statistics and information about how disease develops and spreads, a research team at Los Alamos National Laboratory found a way to forecast the flu season and even next week's sickness trends. January 15, 2016 Forecasting flu A team from Los Alamos has developed a method to predict flu outbreaks based in part on influenza-related searches of Wikipedia. The forecast calls for flu Beyond the familiar flu,

  1. EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project (PCCS), Fort Bend County, TX

    Broader source: Energy.gov [DOE]

    This EIS evaluates the environmental impacts of a proposal to provide financial assistance for a project proposed by NRG Energy, Inc (NRG). DOE selected NRG’s proposed W.A. Parish Post-Combustion CO2 Capture and Sequestration Project for a financial assistance award through a competitive process under the Clean Coal Power Initiative Program. NRG would design, construct and operate a commercial-scale carbon dioxide (CO2) capture facility at its existing W.A. Parish Generating Station in Fort Bend County, Texas; deliver the CO2 via a new pipeline to the existing West Ranch oil field in Jackson County, Texas, for use in enhanced oil recovery operations; and demonstrate monitoring techniques to verify the permanence of geologic CO2 storage.

  2. Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

    2014-05-01

    The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

  3. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

    Templeton, K.J.; Clary, J.L.

    1994-09-01

    This report describes a 30-year forecast of the solid waste volumes by container type. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste. These volumes and their associated container types will be generated or received at the US Department of Energy Hanford Site for storage, treatment, and disposal at Westinghouse Hanford Company`s Solid Waste Operations Complex (SWOC) during a 30-year period from FY 1994 through FY 2023. The forecast data for the 30-year period indicates that approximately 307,150 m{sup 3} of LLMW and TRU/TRUM waste will be managed by the SWOC. The main container type for this waste is 55-gallon drums, which will be used to ship 36% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of 55-gallon drums is Past Practice Remediation. This waste will be generated by the Environmental Restoration Program during remediation of Hanford`s past practice sites. Although Past Practice Remediation is the primary generator of 55-gallon drums, most waste generators are planning to ship some percentage of their waste in 55-gallon drums. Long-length equipment containers (LECs) are forecasted to contain 32% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of LECs is the Long-Length Equipment waste generator, which is responsible for retrieving contaminated long-length equipment from the tank farms. Boxes are forecasted to contain 21% of the waste. These containers are primarily forecasted for use by the Environmental Restoration Operations--D&D of Surplus Facilities waste generator. This waste generator is responsible for the solid waste generated during decontamination and decommissioning (D&D) of the facilities currently on the Surplus Facilities Program Plan. The remaining LLMW and TRU/TRUM waste volume is planned to be shipped in casks and other miscellaneous containers.

  4. A short Id2 protein fragment containing the nuclear export signal forms amyloid-like fibrils

    SciTech Connect (OSTI)

    Colombo, Noemi [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany); Schroeder, Josef [Institut fuer Pathologie, Zentrales EM-Labor, Fakultaet fuer Medizin, Universitaet Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg (Germany); Cabrele, Chiara [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany)]. E-mail: chiara.cabrele@chemie.uni-regensburg.de

    2006-07-21

    The negative regulator of DNA-binding/cell-differentiation Id2 is a small protein containing a central helix-loop-helix (HLH) motif and a C-terminal nuclear export signal (NES). Whereas the former is essential for Id2 dimerization and nuclear localization, the latter is responsible for the transport of Id2 from the nucleus to the cytoplasm. Whereas the isolated Id2 HLH motif is highly helical, large C-terminal Id2 fragments including the NES sequence are either unordered or aggregation-prone. To study the conformational properties of the isolated NES region, we synthesized the Id2 segment 103-124. The latter was insoluble in water and only temporarily soluble in water/alcohol mixtures, where it formed quickly precipitating {beta}-sheets. Introduction of a positively charged N-terminal tail prevented aggressive precipitation and led to aggregates consisting of long fibrils that bound thioflavin T. These results show an interesting structural aspect of the Id2 NES region, which might be of significance for both protein folding and function.

  5. Id-1 gene and gene products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    SciTech Connect (OSTI)

    Desprez, Pierre-Yves; Campisi, Judith

    2014-08-19

    A method for treatment of breast cancer and other types of cancer. The method comprises targeting and modulating Id-1 gene expression, if any, for the Id-1 gene, or gene products in breast or other epithelial cancers in a patient by delivering products that modulate Id-1 gene expression. When expressed, Id-1 gene is a prognostic indicator that cancer cells are invasive and metastatic.

  6. DOE Data ID Service Benefits | OSTI, US Dept of Energy Office of Scientific

    Office of Scientific and Technical Information (OSTI)

    and Technical Information DOE Data ID Service Benefits DataCite | Contact DOE Data ID Service When you submit metadata to OSTI about a dataset, you are basically "announcing" that it exists and you are describing it. That's why you will see the name of the basic submittal tool for data referred to as "Announcement Notice 241.6." Note that the DOE Data ID Service does not accept the dataset itself; only the metadata is submitted. The metadata loads into the OSTI processing

  7. Survey of lands held for uranium exploration, development, and production in fourteen western states for the six-month period ending December 31, 1982. [AZ, CA, CO, ID, MT, NV, NM, ND, OR, SD, TX, UT, WA, WY

    SciTech Connect (OSTI)

    Not Available

    1983-04-01

    Tables are presented showing the land held (in thousands of acres) for uranium exploration and development according to: (1) distribution by ownership for 14 western states; (2) distribution by state; distribution by land category. A graph is presented showing land held by uranium industry from January 1966 to January 1983. Land controlled by counties for each of the 14 states are also tabulated according to land category. (ATT)

  8. Survey of lands held for uranium exploration, development, and production in fourteen western states for the six-month period ending June 30, 1982. [AZ, CA, CO, ID, MT, NV, NM, ND, OR, SD, TX, UT, WA, WY

    SciTech Connect (OSTI)

    Not Available

    1982-10-01

    Tables are presented showing the land held (in thousands of acres) for uranium exploration according to: (1) distribution by ownership for 14 western states (state, claim, federally acquired, Indian and fee); (2) distribution by state (1976 to 1982); (3) distribution by land category (1976 to 1982). A graph is presented showing land held by uranium industry from January 1966 to January 1982. Land controlled by counties for each of the 14 states are also tabulated according to land category. (ATT)

  9. Wnt/{beta}-catenin signaling changes C2C12 myoblast proliferation and differentiation by inducing Id3 expression

    SciTech Connect (OSTI)

    Zhang, Long; Shi, Songting; Zhang, Juan; Zhou, Fangfang; Dijke, Peter ten

    2012-03-02

    Highlights: Black-Right-Pointing-Pointer Expression of Id3 but not Id1 is induced by Wnt3a stimulation in C2C12 cells. Black-Right-Pointing-Pointer Wnt3a induces Id3 expression via canonical Wnt/{beta}-catenin pathway. Black-Right-Pointing-Pointer Wnt3a-induced Id3 expression does not depend on BMP signaling activation. Black-Right-Pointing-Pointer Induction of Id3 expression is critical determinant in Wnt3a-induced cell proliferation and differentiation. -- Abstract: Canonical Wnt signaling plays important roles in regulating cell proliferation and differentiation. In this study, we report that inhibitor of differentiation (Id)3 is a Wnt-inducible gene in mouse C2C12 myoblasts. Wnt3a induced Id3 expression in a {beta}-catenin-dependent manner. Bone morphogenetic protein (BMP) also potently induced Id3 expression. However, Wnt-induced Id3 expression occurred independent of the BMP/Smad pathway. Functional studies showed that Id3 depletion in C2C12 cells impaired Wnt3a-induced cell proliferation and alkaline phosphatase activity, an early marker of osteoblast cells. Id3 depletion elevated myogenin induction during myogenic differentiation and partially impaired Wnt3a suppressed myogenin expression in C2C12 cells. These results suggest that Id3 is an important Wnt/{beta}-catenin induced gene in myoblast cell fate determination.

  10. Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting

    SciTech Connect (OSTI)

    Zhang, Jie; Hodge, Bri -Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat; Black, Jon; Tedesco, John

    2015-11-10

    Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.

  11. Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting

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

    Zhang, Jie; Hodge, Bri -Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat; Black, Jon; Tedesco, John

    2015-11-10

    Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based onmore » state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.« less

  12. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT ( I. ID CODE

    National Nuclear Security Administration (NNSA)

    ( I. ID CODE DE-ACO4-OOAL6662O ' 10s. DATED (SEE ITEM 13) PAGE I OF 2 PAGES Babcock & W C O X Technical Services Pantex, LLC 800 Main Street Lynchburg, VA 24505 9B. DATED ...

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

    Open Energy Info (EERE)

    ID.pdf Jump to: navigation, search File File history File usage Idaho Ethanol Plant Locations Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  14. DOE-ID FOIA Type A Accident Investigation Board Report - July...

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

    Research Library You are here: DOE-ID Home > FOIA > Type A Accident Investigation Board Report - July 28, 1998 Type A Accident Investigation Board Report - July 28, 1998 Fatality ...

  15. DOE Data ID Service Top Navigation | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    Service Top Navigation DOE Data ID Service Top Navigation My Profile Create Review OSTI.Gov Newsletter - Issue 16 Manage Search form Search this site Search Who's online There ...

  16. UCRL-ID-119665 LLNL Small-Scale Drop-Hammer Impact Sensitivity...

    Office of Scientific and Technical Information (OSTI)

    UCRL-ID-119665 LLNL Small-Scale Drop-Hammer Impact Sensitivity Test L. Richard Simpson M. ... LLNL Small-Scale Drop-Hammer Impact Sensitivity Test L. Richard Simpson, and M. Frances ...

  17. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 5)

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

    Nelson, Johanna

    2011-07-22

    This is the second of five exposures of the same sample at different tilts. This one is at +15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  18. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 4)

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

    Nelson, Johanna

    2011-07-22

    This is the first of five exposures of the same sample at different tilts. This one is at +0 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  19. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 8)

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

    Nelson, Johanna

    2011-07-22

    This is the fifth of five exposures of the same sample at different tilts. This one is at -30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  20. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 7)

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

    Nelson, Johanna

    2011-07-22

    This is the fourth of five exposures of the same sample at different tilts. This one is at -15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  1. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 6)

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

    Nelson, Johanna

    2011-07-22

    This is the third of five exposures of the same sample at different tilts. This one is at +30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  2. Microsoft Word - DOE-ID-INL-16-004 R1.docx

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

    of 4 CX Posting No.: DOE-ID-INL-16-004 R1 Original EC The proposed action would provide National & Homeland Security (N&HS) personnel with a new field station office near the ...

  3. Microsoft Word - DOE-ID-INL-14-042 R1.docx

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

    ... Laboratory Page 2 of 3 CX Posting No.: DOE-ID-INL-14-042 R1 Upgrade sub panel D (in ... radio bench Figure 2. Proposed SHARES Station Configuration at the SAF Building ...

  4. DOI-BLM-ID-B010-2010-0083-CX | Open Energy Information

    Open Energy Info (EERE)

    0083-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-B010-2010-0083-CX CX for GeothermalExploration, CX for Thermal Gradient Holes for Geothermal...

  5. DOI-BLM-ID-I020-2012-0017-CX | Open Energy Information

    Open Energy Info (EERE)

    I020-2012-0017-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-I020-2012-0017-CX CX at Bingham-Caribou Geothermal Area for GeothermalExploration CX for...

  6. DOI-BLM-ID-B010-2010-??-CX | Open Energy Information

    Open Energy Info (EERE)

    ??-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-B010-2010-??-CX CX at Weiser Geothermal Area for GeothermalExploration CX at Weiser Geothermal Area for...

  7. DOI-BLM-ID-110-2009-3825-CE | Open Energy Information

    Open Energy Info (EERE)

    110-2009-3825-CE Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-110-2009-3825-CE CX at Crane Creek Geothermal Area for GeothermalExploration Crane Creek...

  8. 11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION...

    National Nuclear Security Administration (NNSA)

    11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATIONMODIFICATION OF CONTRACT 1 I 2. AMENDMENTIMODIFICATION NO. 258 6. ISSUED BY CODE 3. EFFECTIVE DATE See Block 16C ...

  9. File:08-ID-c - Certificate of Public Convenience and Necessity...

    Open Energy Info (EERE)

    modified from its original state, some details may not fully reflect the modified file. Image title Lucidchart Author None Short title 08-ID-c - Certificate of Public Convenience...

  10. PERSONAL PROPERTY TRANSFER MEMORANDUM OF UNDERSTANDING DE..GM07..04ID11457

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

    PERSONAL PROPERTY TRANSFER MEMORANDUM OF UNDERSTANDING DE..GM07..04ID11457 BETWEEN THE DEPARTMENT OF ENERGY IDAHO OPERATIONS OFFICE AND THE COMMUNITY REUSE ORGANIZATION, INC. I. INTRODUCTION This plan establishes conditions under which personal property may be transferred from the United States Department of Energy, Idaho Operations Office (DOE-ID), an agency of the United States Government, to the Community Reuse Organization, Inc. (CRO), an Idaho Corporation. A. Background Section 3] 55 of

  11. Implementation of the REAL ID Act | Y-12 National Security Complex

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

    Visiting Us / Entry Requirements / Implementation of the REAL ... Implementation of the REAL ID Act Congress, acting on the recommendations of the 9/11 Commission, passed the REAL ID Act in an effort to reduce fraud and deter acts of terrorism using fraudulent identification. This Act sets minimum standards for the issuance of driver's licenses and other identification documents. In accordance with the Act, the Department of Homeland Security established implementing standards. Among these is a

  12. DOE Data ID Service Background | OSTI, US Dept of Energy Office of

    Office of Scientific and Technical Information (OSTI)

    Scientific and Technical Information DOE Data ID Service Background DataCite | Contact DOE Data ID Service In 2011, the DOE Office of Scientific and Technical Information (OSTI) joined DataCite to facilitate citing, accessing, and reusing publicly available scientific research datasets produced by DOE-funded researchers. DataCite is an international organization that supports data visibility, ease of data citation in scholarly publications, data preservation and future re-use, and data

  13. The Value of Improved Short-Term Wind Power Forecasting

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

    ... up-ramp reserves c down cost in MWh of down-ramp reserves R down MW range for ... power forecasting and the increased gas usage that comes with less-accurate forecasting. ...

  14. PBL FY 2003 Second Quarter Review Forecast of Generation Accumulated...

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

    the rate period (i.e., FY 2002-2006), a forecast of that end-of-year Accumulated Net Revenue (ANR) will be completed. If the ANR at the end of the forecast year falls below the...

  15. Solar Forecasting Gets a Boost from Watson, Accuracy Improved...

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

    Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM ...

  16. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  17. DOE Taking Wind Forecasting to New Heights | Department of Energy

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

    Taking Wind Forecasting to New Heights DOE Taking Wind Forecasting to New Heights May 18, 2015 - 3:24pm Addthis A 2013 study conducted for the U.S. Department of Energy (DOE) by the National Oceanic and Atmospheric Administration (NOAA), AWS Truepower, and WindLogics in the Great Plains and Western Texas, demonstrated that wind power forecasts can be improved substantially using data collected from tall towers, remote sensors, and other devices, and incorporated into improved forecasting models

  18. Combined Heat And Power Installation Market Forecast | OpenEI...

    Open Energy Info (EERE)

    Combined Heat And Power Installation Market Forecast Home There are currently no posts in this category. Syndicate...

  19. Wind power forecasting in U.S. electricity markets.

    SciTech Connect (OSTI)

    Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

    2010-04-01

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

  20. Wind power forecasting in U.S. Electricity markets

    SciTech Connect (OSTI)

    Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

    2010-04-15

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

  1. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

    Issues in Midterm Analysis and Forecasting 1998 (Issues) presents a series of nine papers covering topics in analysis and modeling that underlie the Annual Energy Outlook 1998 (AEO98), as well as other significant issues in midterm energy markets. AEO98, DOE/EIA-0383(98), published in December 1997, presents national forecasts of energy production, demand, imports, and prices through the year 2020 for five cases -- a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The forecasts were prepared by the Energy Information Administration (EIA), using EIA`s National Energy Modeling System (NEMS). The papers included in Issues describe underlying analyses for the projections in AEO98 and the forthcoming Annual Energy Outlook 1999 and for other products of EIA`s Office of Integrated Analysis and Forecasting. Their purpose is to provide public access to analytical work done in preparation for the midterm projections and other unpublished analyses. Specific topics were chosen for their relevance to current energy issues or to highlight modeling activities in NEMS. 59 figs., 44 tabs.

  2. Issues in midterm analysis and forecasting, 1996

    SciTech Connect (OSTI)

    1996-08-01

    This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

  3. Wind Forecast Improvement Project Southern Study Area Final Report |

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

    Department of Energy Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report.pdf (15.76 MB) More Documents & Publications QER - Comment of Edison Electric Institute (EEI) 1 QER - Comment of Canadian Hydropower Association QER - Comment of Edison Electric Institute (EEI) 2

  4. The Wind Forecast Improvement Project (WFIP). A Public-Private Partnership Addressing Wind Energy Forecast Needs

    SciTech Connect (OSTI)

    Wilczak, James M.; Finley, Cathy; Freedman, Jeff; Cline, Joel; Bianco, L.; Olson, J.; Djalaova, I.; Sheridan, L.; Ahlstrom, M.; Manobianco, J.; Zack, J.; Carley, J.; Benjamin, S.; Coulter, R. L.; Berg, Larry K.; Mirocha, Jeff D.; Clawson, K.; Natenberg, E.; Marquis, M.

    2015-10-30

    The Wind Forecast Improvement Project (WFIP) is a public-private research program, the goals of which are to improve the accuracy of short-term (0-6 hr) wind power forecasts for the wind energy industry and then to quantify the economic savings that accrue from more efficient integration of wind energy into the electrical grid. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that include the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models to improve model initial conditions; and second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the U.S. (the upper Great Plains, and Texas), and included 12 wind profiling radars, 12 sodars, 184 instrumented tall towers and over 400 nacelle anemometers (provided by private industry), lidar, and several surface flux stations. Results demonstrate that a substantial improvement of up to 14% relative reduction in power root mean square error (RMSE) was achieved from the combination of improved NOAA numerical weather prediction (NWP) models and assimilation of the new observations. Data denial experiments run over select periods of time demonstrate that up to a 6% relative improvement came from the new observations. The use of ensemble forecasts produced even larger forecast improvements. Based on the success of WFIP, DOE is planning follow-on field programs.

  5. HIA 2015 DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham Power House, Bellingham, WA

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

    Bellingham Power House Bellingham, WA DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in to

  6. Analyses of soils at commercial radioactive-waste-disposal sites. [Barnwell, SC; Richland, WA

    SciTech Connect (OSTI)

    Piciulo, P.L.; Shea, C.E.; Barletta, R.E.

    1982-01-01

    Brookhaven National Laboratory, in order to provide technical assistance to the NRC, has measured a number of physical and chemical characteristics of soils from two currently operating commercial radioactive waste disposal sites; one at Barnwell, SC, and the other near Richland, WA. Soil samples believed to be representative of the soil that will contact the buried waste were collected and analyzed. Earth resistivities (field measurements), from both sites, supply information to identify variations in subsurface material. Barnwell soil resistivities (laboratory measurements) range from 3.6 x 10/sup 5/ ohm-cm to 8.9 x 10/sup 4/ ohm-cm. Soil resistivities of the Hanford sample vary from 3.0 x 10/sup 5/ ohm-cm to 6.6 x 10/sup 3/ ohm-cm. The Barnwell and Hanford soil pH ranges from 4.8 to 5.4 and from 4.0 to 7.2 respectively. The pH of a 1:2 mixture of soil to 0.01 M CaCl/sub 2/ resulted in a pH for the Barnwell samples of 3.9 +- 0.1 and for the Hanford samples of 7.4 +- 0.2. These values are comparable to the pH measurements of the water extract of the soils used for the analyses of soluble ion content of the soils. The exchange acidity of the soils was found to be approximately 7 mg-eq per 100 g of dry soil for clay material from Barnwell, whereas the Hanford soils showed an alkaline reaction. Aqueous extracts of saturated pastes were used to determine the concentrations of the following ions: Ca/sup 2 +/, Mg/sup 2 +/, K/sup +/, Na/sup +/, HCO/sub 3//sup -/, SO/sub 4//sup =/, and Cl/sup -/. The sulfide content of each of the soils was measured in a 1:2.5 mixture of soil to an antioxidant buffer solution. The concentrations of soluble ions found in the soils from both sites are consistent with the high resistivities.

  7. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  8. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01

    This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

  9. Microsoft Word - DOE-ID-INL-12-028-1.doc

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

    The project would use equipment that was installed at two locations in Texas near wind turbine farms in support of the DOE-NOAA Wind Forecast Improvement Project. The use of re- ...

  10. HIA 2015 DOE Zero Energy Ready Home Case Study: Clifton View Homes, Marine Drive and Port Hadlcok, Coupeville and Port Hadlock WA

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

    Homes Marine Drive and Port Hadlock Coupeville, WA Port Hadlock, WA DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced

  11. Forecasting hotspots using predictive visual analytics approach

    SciTech Connect (OSTI)

    Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

    2014-12-30

    A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

  12. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J.

    2011-02-23

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  13. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect (OSTI)

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.

  14. Global disease monitoring and forecasting with Wikipedia

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

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: accessmore » logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.« less

  15. Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, Jie; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat

    2015-08-05

    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output. forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.

  16. 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I11 5

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

    SOLICITATIONIMODIFICATION OF CONTRACT I11 5 2 AMENDMENT/MODIFICATION NO 3. EFFECTIVE DATE (MD Y) 4. REQUISITION/PURCHASE REQ. NO SPROJECT NO. (If applicable) 273 See Block 16C 6 ISSUED BY CODE 7 ADMINISTERED BY (If olher than Item 6,, CODE U.S. Department of Energy Office of River Protection P. 0. Box 450, MIS 116-60 Richland, WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, Stale and ZIP code) 9A. AMENDMENT OF SOLICITATION NO. ED Bechtel National, Inc. 9B. DATED (SEE ITEM I])

  17. 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I111 5

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

    AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I111 5 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO. 5. PROJECT NO. (If applica ble) A078 See 16C 06-08RL14383.012 6. ISSUED BY CODE1 7. ADMINISTERED BY (If other than Item ) CODEJ U.S. Department of Energy Same as item 6. Richland Operations Office DOE Contracting POC: Richard Stimmel P. 0. Box 550, MSIN A7-80 (509) 376-2882 Richland, WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No. Street, county, Stale and

  18. 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II11 5

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

    AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II11 5 2. AMEN DMENT/MODIFICATION NO. 3. EFFECTIVE DATE 4. REOUISITIONIPURCHASE REQ. NO. 5. PROJECT NO. (if applicable) A07 I ee 6C06-08RL143 83 .013 6.ISE YCDJ7. ADMINISTERED BY If lother than Item 6) CODEJ U.S. Department of Energy Same as item 6. Richland Operations Office DOE Contracting POC: Richard Stimmel P. 0. Box 550, MSTN A7-80 (509) 376-2882 Richland, WA 99352 _________ 8. NAME AND ADDRESS OF CONTRACTOR (No. Street, county, State and

  19. A Better Way to ID Extreme Weather Events in Climate Models

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

    A Better Way to ID Extreme Weather Events in Climate Models A Better Way to ID Extreme Weather Events in Climate Models Berkeley Lab scientists help automate the search for hurricanes and other storms in huge datasets December 7, 2011 Dan Krotz, dakrotz@lbl.gov, +1 510-486-4019 You'd think that spotting a category 5 hurricane would never be difficult. But when the hurricane is in a global climate model that spans several decades, it becomes a fleeting wisp among mountains of data. That's a

  20. Idaho National Lab Contract DE-AC07-05ID14517

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

    Contract No. DE-AC07-05ID14517 Modifications You are here: DOE-ID Home > Contracts, Financial Assistance & Solicitations > INL Contract > INL Basic Contract Blue Line Free Acrobat Reader Link The documents listed below represent an electronic copy of modifications to the contract for the Management and Operation of the INL awarded to Battelle Energy Alliance, LLC. These documents are in PDF format. The Adobe Reader is required to access them. If you do not currently have the Acrobat

  1. Comments on Docket ID: DOE-HQ-2011-0014 | Department of Energy

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

    on Docket ID: DOE-HQ-2011-0014 Comments on Docket ID: DOE-HQ-2011-0014 This letter comprises the comments of the Pacific Gas and Electric Company (PG&E), Southern California Gas Company (SCGC), San Diego Gas and Electric (SDG&E), and Southern California Edison (SCE) in response to the U.S. Department of Energy's (DOE) Request for Information on Regulatory Burden. The signatories of this letter, collectively referred to herein as the California Investor Owned Utilities (CA IOUs) represent

  2. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

    2013-10-01

    Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

  3. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

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

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  4. Last Revision Date: 8/16/2010 Last Merged Filing ID:

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

    Revision Date: 8/16/2010 Last Merged Filing ID: Tariffs, Rate Schedules, and Other Tariff Documents Southwestern Power Administration Tariffs, Rate Schedules, and Other Tariff Documents Document Generated On: 10/1/2010 Contents TABLE OF CONTENTS ....................................................................................................................................1 PREAMBLE: AUTHORITIES AND OBLIGATIONS

  5. Certification of Completion of Item 2 of ASC FY07 Level-2 Milestone ID #2380

    SciTech Connect (OSTI)

    Lipari, D A

    2007-03-28

    This report documents the completion of Item 2 of the three milestone deliverables that comprise Milestone ID 2380: Deploy selected Tri-Lab resource manager at LLNL and develop support model. Specifically: LLNL will integrate and support a commercial resource manager software product at LLNL to be used across the tri-lab HPC facilities.

  6. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)

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

    Seibert, M. Marvin; Ekeberg, Tomas

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

  7. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

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

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  8. Evaluation of contaminant flux rates from sediments of Sinclair Inlet, WA, using a benthic flux sampling device. Final report

    SciTech Connect (OSTI)

    Chadwick, D.B.; Lieberman, S.H.; Reimers, C.E.; Young, D.

    1993-02-01

    A Benthic Flux Sampling Device (BFSD) was demonstrated on site to determine the mobility of contaminants in sediments off the Puget Sound Naval Shipyard (PSNS) in Sinclair Inlet, WA. Quantification of toxicant flux from the sediments will support ongoing assessment studies and facilitate the design of appropriate remediation strategies, if required. In general, where release of contaminants was found, the measured rates do not represent a significant source relative to other major inputs such as sewer discharges, nonpoint source runoff, and marinas. They may, however, represent an exposure pathway for benthic biota with a subsequent potential for toxicological effects and/or bioaccumulation. Environmental assessment, CIVAPP:Toxicity, CIVAPP:Marine chemistry, Hazardous waste.

  9. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

    Complex Terrain | Department of Energy Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am Addthis On February 11, 2014 the Wind Program announced a Notice of Intent to issue a funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex terrain, this funding would improve

  10. FY 2004 Second Quarter Review Forecast of Generation Accumulated...

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

    Bonneville Power Administration Power Business Line Generation (PBL) Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  11. PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...

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

    2003 Bonneville Power Administration Power Business Line Generation Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  12. Improving the Accuracy of Solar Forecasting Funding Opportunity...

    Energy Savers [EERE]

    Through the Improving the Accuracy of Solar Forecasting Funding Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and ...

  13. NREL: Resource Assessment and Forecasting - Data and Resources

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data ...

  14. Roel Neggers European Centre for Medium-range Weather Forecasts

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

    transition from shallow to deep convection using a dual mass flux boundary layer scheme Roel Neggers European Centre for Medium-range Weather Forecasts Introduction " " % % &...

  15. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    forecasts for solar-energy applications and 2) to provide vertical profiling capabilities for the study of dynamics (i.e., vertical velocity) and hydrometeors in winter storms. ...

  16. DOE Announces Webinars on Solar Forecasting Metrics, the DOE...

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

    DOE Announces Webinars on Solar Forecasting Metrics, the DOE ... from adopting the latest energy efficiency and renewable ... to liquids technology, advantages of using natural gas, ...

  17. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis: Preprint

    SciTech Connect (OSTI)

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-12-08

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  18. DOE Benefits Forecasts: Report of the External Peer Review Panel

    Office of Energy Efficiency and Renewable Energy (EERE)

    A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts.

  19. New Forecasting Tools Enhance Wind Energy Integration In Idaho...

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

    ... RIT forecasting is saving costs and improving operational practices for IPC and helping integrate wind power more efficiently and cost effectively. Figure 3 shows how the ...

  20. A Review of Variable Generation Forecasting in the West: July...

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

    ... Cost Assignment - Only a few respondents partly or fully recover forecasting costs from variable generators. Many simply absorb the costs, possibly viewing them as relatively ...

  1. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  2. ANL Software Improves Wind Power Forecasting | Department of...

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

    ... The licensing arrangement helps to facilitate transfer of the statistical learning algorithms developed in the project to industry use. A leading forecast provider in the United ...

  3. Selected papers on fuel forecasting and analysis

    SciTech Connect (OSTI)

    Gordon, R.L.; Prast, W.G.

    1983-05-01

    Of the 19 presentations at this seminar, covering coal, uranium, oil, and gas issues as well as related EPRI research projects, eleven papers are published in this volume. Nine of the papers primarily address coal-market analysis, coal transportation, and uranium supply. Two additional papers provide an evaluation and perspective on the art and use of coal-supply forecasting models and on the relationship between coal and oil prices. The authors are energy analysts and EPRI research contractors from academia, the consulting profession, and the coal industry. A separate abstract was prepared for each of the 11 papers.

  4. Id1 expression promotes peripheral CD4{sup +} T cell proliferation and survival upon TCR activation without co-stimulation

    SciTech Connect (OSTI)

    Liu, Chen; Jin, Rong; Wang, Hong-Cheng; Tang, Hui; Liu, Yuan-Feng; Qian, Xiao-Ping; Sun, Xiu-Yuan; Ge, Qing; Sun, Xiao-Hong; Zhang, Yu

    2013-06-21

    Highlights: •Id1 expression enables naïve T cell proliferation without anti-CD28 co-stimulation. •Id1 expression facilitates T cells survival when stimulated with anti-CD3. •Elevation of IL-2 production by Id1 contributes increased proliferation and survival. •Id1 potentiates NF-κB activation by anti-CD3 stimulation. -- Abstract: Although the role of E proteins in the thymocyte development is well documented, much less is known about their function in peripheral T cells. Here we demonstrated that CD4 promoter-driven transgenic expression of Id1, a naturally occurring dominant-negative inhibitor of E proteins, can substitute for the co-stimulatory signal delivered by CD28 to facilitate the proliferation and survival of naïve CD4{sup +} cells upon anti-CD3 stimulation. We next discovered that IL-2 production and NF-κB activity after anti-CD3 stimulation were significantly elevated in Id1-expressing cells, which may be, at least in part, responsible for the augmentation of their proliferation and survival. Taken together, results from this study suggest an important role of E and Id proteins in peripheral T cell activation. The ability of Id proteins to by-pass co-stimulatory signals to enable T cell activation has significant implications in regulating T cell immunity.

  5. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  6. Technical analysis in short-term uranium price forecasting

    SciTech Connect (OSTI)

    Schramm, D.S.

    1990-03-01

    As market participants anticipate the end of the current uranium price decline and its subsequent reversal, increased attention will be focused upon forecasting future price movements. Although uranium is economically similar to other mineral commodities, it is questionable whether methodologies used to forecast price movements of such commodities may be successfully applied to uranium.

  7. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  8. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    Open Energy Info (EERE)

    TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name: 3TIER Environmental Forecast Group Inc (3TIER) Place: Seattle, Washington Zip: 98121 Sector: Renewable...

  9. OSTIblog Articles in the DOE Data ID Service Topic | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information ID Service Topic OSTI Helping High Energy Physics Collaboration to Register Datasets by Sara Studwell 01 Apr, 2016 in The Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) is working with a researcher in the High Energy Physics (HEP) community to register scientific datasets produced by a domain collaboration, a recent blog post has reported. OSTI offers a service for registering datasets to help increase

  10. Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts

    Reports and Publications (EIA)

    2010-01-01

    The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

  11. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian

    2014-07-09

    Uncertainties in forecasting the output of intermittent resources such as wind and solar generation, as well as system loads are not adequately reflected in existing industry-grade tools used for transmission system management, generation commitment, dispatch and market operation. There are other sources of uncertainty such as uninstructed deviations of conventional generators from their dispatch set points, generator forced outages and failures to start up, load drops, losses of major transmission facilities and frequency variation. These uncertainties can cause deviations from the system balance, which sometimes require inefficient and costly last minute solutions in the near real-time timeframe. This Chapter considers sources of uncertainty and variability, overall system uncertainty model, a possible plan for transition from deterministic to probabilistic methods in planning and operations, and two examples of uncertainty-based fools for grid operations.This chapter is based on work conducted at the Pacific Northwest National Laboratory (PNNL)

  12. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect (OSTI)

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios

  13. Wa s h i n g t o n U n i v e r s i t y i n S t . L o...

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

    Wa s h i n g t o n U n i v e r s i t y i n S t . L o u i s - - P A R C ' s H o s t & A d mi n s t r a t i v e H o me - B o b B l a n k e n s h i p , P A R C D i r e c t o r - D e ...

  14. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  15. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema (OSTI)

    Gonzalez, Frank

    2010-01-08

    After a review of tsunami statistics and the destruction caused by tsunamis, a means of forecasting tsunamis is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a tsunami warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of Tsunamis (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve tsunami forecast models.

  16. Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

  17. Wind Energy Technology Trends: Comparing and Contrasting Recent Cost and Performance Forecasts (Poster)

    SciTech Connect (OSTI)

    Lantz, E.; Hand, M.

    2010-05-01

    Poster depicts wind energy technology trends, comparing and contrasting recent cost and performance forecasts.

  18. World oil inventories forecast to grow significantly in 2016...

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

    World oil inventories forecast to grow significantly in 2016 and 2017 Global oil inventories are expected to continue strong growth over the next two years which should keep oil ...

  19. PBL FY 2002 Second Quarter Review Forecast of Generation Accumulated...

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

    Slice true-ups, and actual expense levels. Any variation of these can change the net revenue situation. FY 2002 Forecasted Second Quarter Results 170 (418) FY 2002 Unaudited...

  20. Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels

    Reports and Publications (EIA)

    2003-01-01

    This paper presents a short-term monthly forecasting model of West Texas Intermediate crude oil spot price using Organization for Economic Cooperation and Development (OECD) petroleum inventory levels.

  1. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    U.S. DEPARTMENT OF HP IENERGY Office of Science DOESC-ARM-15-024 915-MHz Wind Profiler ... M Jensen et al., March 2016, DOESC-ARM-15-024 915-MHz Wind Profiler for Cloud Forecasting ...

  2. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

    Through the Improving the Accuracy of Solar Forecasting Funding Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and other...

  3. DOE Publishes New Forecast of Energy Savings from LED Lighting

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy has just published the latest edition of its biannual report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, which models the...

  4. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Sharp, J.; Margulis, M.; Mcreavy, D.

    2015-02-01

    This report summarizes an assessment of improved short-term wind power forecasting in the California Independent System Operator (CAISO) market and provides a quantification of its potential value.

  5. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  6. The Wind Forecast Improvement Project (WFIP): A Public/Private...

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

    The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind ...

  7. Solar Trackers Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Solar Trackers Market Forecast Home John55364's picture Submitted by John55364(100) Contributor 12 May, 2015 - 03:54 Solar Trackers Market - Global Industry Analysis, Size, Share,...

  8. Energy Forecasting Framework and Emissions Consensus Tool (EFFECT...

    Open Energy Info (EERE)

    Tool (EFFECT) EFFECT is an open, Excel-based modeling tool used to forecast greenhouse gas emissions from a range of development scenarios at the regional and national levels....

  9. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    1995-05-01

    This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

  10. New Climate Research Centers Forecast Changes and Challenges | Department

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

    of Energy Climate Research Centers Forecast Changes and Challenges New Climate Research Centers Forecast Changes and Challenges October 25, 2013 - 12:24pm Addthis This artist's rendering illustrates the full site installation, including a new aerosol observing system (far left) and a precipitation radar (far right, with 20-ft tower). The site is located near the Graciosa Island aiport terminal, hidden by the image inset. | Image courtesy of ARM Climate Research Facility. This artist's

  11. Energy Department Forecasts Geothermal Achievements in 2015 | Department of

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

    Energy Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector, including Jay Nathwani, Acting Director of the Energy Department's Geothermal Technologies Office. Nathwani shared achievements and challenges in the program's technical portfolio. The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector,

  12. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in the journal Nature Climate Change, suggest that global models may underestimate predictions of forest death. December 21, 2015 Los Alamos scientist Nate McDowell discusses how climate change is killing trees with PBS NewsHour reporter Miles O'Brien. Los Alamos scientist Nate McDowell discusses how climate change is

  13. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    -------------------------------------------------------- AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE I PAGE OF PAGES 1 I 2 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO. 15. PROJECT NO. (If applicable) 0246 See Block 16C 6. ISSUED BY CODE 05003 7. ADMINISTERED BY (If other than Item 6) CODE 105003 NNSA/Los Alamos Site Office NNSA/Los Alamos Site Office U.S. Department of Energy U.S. Department of Energy NNSA/Los Alamos Site Office Los

  14. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES

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

    AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES 1 20 2. AMENDMENT/MODIFICATION NO. A001 3. EFFECTIVE DATE See Block 16C 4. REQUISITION/PURCHASE REQ. NO. 5. PROJECT NO. (If applicable) 6. ISSUED BY CODE 7. ADMINISTERED BY (If other than Item 6) CODE U.S. Department of Energy National Energy Technology Laboratory PO Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 Attn: Amanda Lopez 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, State, and

  15. 1,CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION

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

    1 1 (10.63 MB) More Documents & Publications Microsoft Word - GJPPGPracticesDraft.doc Updated Section H Greening Clauses DOE Purchase Card Policy

    ,CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 11 3 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE (M D Y) 4. REQUISITION/PURCHASE REQ. NO. 5. PROJECT NO, (If applicable) 221 See Block 16C 11 EM0026551 6. ISSUED BY CODE 7. ADMINISTERED BY (If other than Item 6) CODE U.S. Department of Energy Office of

  16. Here�s What�s Going on with DOE-ID

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

    Here�s What�s Going on with DOE-ID As you know, we initiated a survey under �Voice of the People� last month, in order to get your input on how we can make this website more useful to you. In response to your feedback, one thing we did is develop a monthly article that attempts to capsulize the activities and opportunities for public input, all in one place. This is the first of those articles. Public Involvement Opportunities You have until close of business on June 21 to provide input

  17. 11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT

    National Nuclear Security Administration (NNSA)

    11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1 I 2. AMENDMENTIMODIFICATION NO. 258 6. ISSUED BY CODE 3. EFFECTIVE DATE See Block 16C 05008 4. REQUISITION/PURCHASE REQ. NO. 7. ADMINISTERED BY (If other than Item 6) 15. PROJECT NO. (If applicable) CODE 1 0 5 0 0 8 NNSA/Oakridge Site Office NNSA/Oakridge Site Office U.S. Department of Energy U. S. Department of Energy NNSA/Y-12 Site Office NNSA/Y-12 Site Office P.O. Box 2050 P.O. Box 2050 Building 9704-2

  18. An interactive version of PropID for the aerodynamic design of horizontal axis wind turbines

    SciTech Connect (OSTI)

    Ninham, C.P.; Selig, M.S.

    1997-12-31

    The original PROP code developed by AeroVironment, Inc. and its various versions have been in use for wind turbine performance predictions for over ten years. Due to its simplicity, rapid execution times and relatively accurate predictions, it has become an industry standard in the US. The Europeans have similar blade-element/momentum methods in use for design. Over the years, PROP has continued to be improved (in its accuracy and capability), e.g., PROPSH, PROPPC, PROP93, and PropID. The latter version incorporates a unique inverse design capability that allows the user to specify the desired aerodynamic characteristics from which the corresponding blade geometry is determined. Through this approach, tedious efforts related to manually adjusting the chord, twist, pitch and rpm to achieve desired aerodynamic/performance characteristics can be avoided, thereby making it possible to perform more extensive trade studies in an effort to optimize performance. Past versions of PropID did not have supporting graphics software. The more current version to be discussed includes a Matlab-based graphical user interface (GUI) and additional features that will be discussed in this paper.

  19. AVLIS: a technical and economic forecast

    SciTech Connect (OSTI)

    Davis, J.I.; Spaeth, M.L.

    1986-01-01

    The AVLIS process has intrinsically large isotopic selectivity and hence high separative capacity per module. The critical components essential to achieving the high production rates represent a small fraction (approx.10%) of the total capital cost of a production facility, and the reference production designs are based on frequent replacement of these components. The specifications for replacement frequencies in a plant are conservative with respect to our expectations; it is reasonable to expect that, as the plant is operated, the specifications will be exceeded and production costs will continue to fall. Major improvements in separator production rates and laser system efficiencies (approx.power) are expected to occur as a natural evolution in component improvements. With respect to the reference design, such improvements have only marginal economic value, but given the exigencies of moving from engineering demonstration to production operations, we continue to pursue these improvements in order to offset any unforeseen cost increases. Thus, our technical and economic forecasts for the AVLIS process remain very positive. The near-term challenge is to obtain stable funding and a commitment to bring the process to full production conditions within the next five years. If the funding and commitment are not maintained, the team will disperse and the know-how will be lost before it can be translated into production operations. The motivation to preserve the option for low-cost AVLIS SWU production is integrally tied to the motivation to maintain a competitive nuclear option. The US industry can certainly survive without AVLIS, but our tradition as technology leader in the industry will certainly be lost.

  20. Forecasting the 2013–2014 influenza season using Wikipedia

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

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are appliedmore » to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.« less

  1. Forecasting the 2013–2014 influenza season using Wikipedia

    SciTech Connect (OSTI)

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are applied to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.

  2. Wa s h i n g t o n Ma r r i o t t e n Me t r o C e...

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

    Wa s h i n g t o n Ma r r i o t t e n Me t r o C e n t e r C o n f e r e n c i a y P r o g r a ma d e C a p a c i t a c i n d e J u s t i c i a A mb i e n t a l N a c i o n a l ...

  3. Franklin PUD, Pasco WA

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

    have been replaced by Hans Berg (State of Washington, Wid Ritchie (Idaho Falls) and Shawn Collins (The Energy Project). A few participants reported new LIEE activities, due at...

  4. Survey of Variable Generation Forecasting in the West: August 2011 - June 2012

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2012-04-01

    This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

  5. North Portal Fuel Storage System Fire Hazard Analysis-ESF Surface Design Package ID

    SciTech Connect (OSTI)

    N.M. Ruonavaara

    1995-01-18

    The purpose of the fire hazard analysis is to comprehensively assess the risk from fire within the individual fire areas. This document will only assess the fire hazard analysis within the Exploratory Studies Facility (ESF) Design Package ID, which includes the fuel storage system area of the North Portal facility, and evaluate whether the following objectives are met: 1.1.1--This analysis, performed in accordance with the requirements of this document, will satisfy the requirements for a fire hazard analysis in accordance with U.S. Department of Energy (DOE) Order 5480.7A. 1.1.2--Ensure that property damage from fire and related perils does not exceed an acceptable level. 1.1.3--Provide input to the ESF Basis For Design (BFD) Document. 1.1.4 Provide input to the facility Safety Analysis Report (SAR) (Paragraph 3.8).

  6. Yucca Mountain Project Integrated Data System (IDS); Final report, October 1, 1989--December 31, 1990

    SciTech Connect (OSTI)

    1991-05-23

    This final report for LANL Subcontract 9-XS8-2604-1 includes copies of all formal letters, memorandums, and reports provided by CAG to support the IDS effort in the LANL Test Managers Office, Las Vegas, Nevada from October 1, 1989 through the end of the contract on December 31, 1990. The material is divided into two sections; the Functional Requirements Document (FRD) and other reports, letters, and memorandums. All documents are arranged in chronological order with most recent last. Numerous draft copies of the FRD were prepared and cover sheets for all drafts are included. The complete text of only the last version supplied (July 27, 1990) is included in this document.

  7. 1. CONTRACT ID CODE PAGE of: PAGES AMENDM ENT OF SOLICITATION/MODIFICATION OF CONTRACT I -1 5

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

    of: PAGES AMENDM ENT OF SOLICITATION/MODIFICATION OF CONTRACT I -1 5 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE (0/1T 4. REQUISITION/PURCHASE REQ. NO. 5. PROJECT NO. (If applicable) 286 See Block 16C 12EM0014771 6. ISSUED BY CODE 7. AD)MINISTERED BY (If otherrtianItm 6) CODE U.S. Department of Energy Office of River Protection P. 0. Box 450, MIS 116-60 Richland, WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No., street. county.. State and ZIP code) 9A. AMENDMENT OF SOLICITATION NO. Bechtel

  8. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect (OSTI)

    Not Available

    1981-05-27

    This report presents an overview of forecasts of domestic energy consumption, production, and prices for the year 1990. These results are selected from more detailed projections prepared and published in Volume 3 of the Energy Information Administration 1980 Annual Report to Congress. This report focuses specifically upon the 1980's and concentrates upon similarities and differences in the domestic energy system, as forecast, compared to the national experience in the years immediately following the 1973--1974 oil embargo. Interest in the 1980's stems not only from its immediacy in time, but also from its importance as a time in which certain adjustments to higher energy prices are expected to take place. The forecasts presented do not attempt to account for all of this wide range of potentially important forces that could conceivably alter the energy situation. Instead, the projections are based on a particular set of assumptions that seems reasonable in light of what is currently known. 9 figs., 25 tabs.

  9. L4:PHI.REL.P8.01 VERA Release Notes ID: 2013 VERA RSICC Release

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

    L4:PHI.REL.P8.01 VERA Release Notes ID: 2013 VERA RSICC Release (VERA 3.2) Matt Sieger Oak Ridge National Laboratory November 16, 2013 CASL-U-2014-0172-000 DRAFT VERA Release Notes Document VERA Release Notes (DRAFT) Release ID 2013 VERA RSICC Release (VERA 3.2) Release Date Sept. 30, 2013 Support Information Email questions or comments to the VERA development team at casl-support@CASL.gov 1. Introduction VERA, a "Virtual Environment for Reactor Applications", is a collection of

  10. Microsoft Word - 2013 (05-22-13) DOE-ID Operations Summary-13 7 Working.docx

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

    May 16, 2013 DOE-ID Operations Summary For the Period April 1 to May 16, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC - Shannon Brennan, DOE-ID, (208) 526-3993. Advanced

  11. Environmental Science and Research Foundation annual technical report to DOE-ID, January , 1995--December 31, 1995

    SciTech Connect (OSTI)

    1996-06-01

    The foundation conducts an environmental monitoring and surveillance program over an area covering much of the upper Snake River Plain and provide environmental education and support services related to INEL natural resource issues. Also, the foundation, with its university affiliates, conducts ecological and radioecological research on the Idaho National Environmental Research Park. This research benefits major DOE-ID programs including waste management, environmental restoration, spent nuclear fuels, and land management issues. Major accomplishments during CY1995 can be divided into five categories: environmental surveillance program, environmental education, environmental services and support, ecological risk assessment, and research benefitting the DOE-ID mission.

  12. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  13. Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts |

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

    Department of Energy Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts May 11, 2016 - 6:48pm Addthis Balancing the power grid is an art-or at least a scientific study in chaos-and the Energy Department is hoping wind energy can take a greater role in the act. Yet, the intermittency of wind-sometimes it's blowing, sometimes it's not-makes adding it smoothly to the nation's electrical grid a challenge.

  14. Forecast of contracting and subcontracting opportunities. Fiscal year 1996

    SciTech Connect (OSTI)

    1996-02-01

    This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.

  15. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    2008-01-15

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  16. Final Report - Integration of Behind-the-Meter PV Fleet Forecasts...

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

    Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Final Report - Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System ...

  17. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011

    SciTech Connect (OSTI)

    Piwko, R.; Jordan, G.

    2011-11-01

    This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

  18. DOE Releases Latest Report on Energy Savings Forecast of Solid-State Lighting

    Broader source: Energy.gov [DOE]

    DOE has published a new report forecasting the energy savings of LED white-light sources compared with conventional white-light sources. The sixth iteration of the Energy Savings Forecast of Solid...

  19. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01

    Report surveys grid wind power forecasts for all wind generators, which are administered by utilities or regional transmission organizations (RTOs), typically with the assistance of one or more wind power forecasting companies.

  20. EIA revises up forecast for U.S. 2013 crude oil production by...

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

    EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day The forecast for U.S. crude oil production keeps going higher. The U.S. Energy Information ...

  1. https://bluedart.phe.com/owa/?ae=Item&t=IPM.Note&id=RgAAAAA%2f3

    National Nuclear Security Administration (NNSA)

    Phyllis Radack Manager, Regulatory Services 702-295-6582 702-858-5587 (cell) 702-295-7699 ...idRgAAAAA%2f3mOqqZ%2bfSq... 702-858-5587 (cell) 702-295-7699 (fax) From: Morris, Patrick ...

  2. Beyond "Partly Sunny": A Better Solar Forecast | Department of Energy

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

    "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods

  3. Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2009-12-01

    The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

  4. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  5. Weather Research and Forecasting Model with the Immersed Boundary Method

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    The Weather Research and Forecasting (WRF) Model with the immersed boundary method is an extension of the open-source WRF Model available for wwww.wrf-model.org. The new code modifies the gridding procedure and boundary conditions in the WRF model to improve WRF's ability to simutate the atmosphere in environments with steep terrain and additionally at high-resolutions.

  6. Weather forecast-based optimization of integrated energy systems.

    SciTech Connect (OSTI)

    Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

    2009-03-01

    In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

  7. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

    Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V.

    2011-11-29

    The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help

  8. Final Report- Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations

    Office of Energy Efficiency and Renewable Energy (EERE)

    Four major research objectives were completed over the course of this study. Three of the objectives were to evaluate three, new, state-of-the-art solar irradiance forecasting models. The fourth objective was to improve the California independent system operator’s load forecasts by integrating behind-the-meter photovoltaic forecasts.

  9. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Gomez-Lazaro, E.; Lovholm, A. L.; Berge, E.; Miettinen, J.; Holttinen, H.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Dobschinski, J.

    2013-10-01

    One of the critical challenges of wind power integration is the variable and uncertain nature of the resource. This paper investigates the variability and uncertainty in wind forecasting for multiple power systems in six countries. An extensive comparison of wind forecasting is performed among the six power systems by analyzing the following scenarios: (i) wind forecast errors throughout a year; (ii) forecast errors at a specific time of day throughout a year; (iii) forecast errors at peak and off-peak hours of a day; (iv) forecast errors in different seasons; (v) extreme forecasts with large overforecast or underforecast errors; and (vi) forecast errors when wind power generation is at different percentages of the total wind capacity. The kernel density estimation method is adopted to characterize the distribution of forecast errors. The results show that the level of uncertainty and the forecast error distribution vary among different power systems and scenarios. In addition, for most power systems, (i) there is a tendency to underforecast in winter; and (ii) the forecasts in winter generally have more uncertainty than the forecasts in summer.

  10. Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000

    SciTech Connect (OSTI)

    Das, S.

    1991-12-01

    The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

  11. A 12-MW-scale pilot study of in-duct scrubbing (IDS) using a rotary atomizer

    SciTech Connect (OSTI)

    Samuel, E.A.; Murphy, K.R.; Demian, A.

    1989-11-01

    A low-cost, moderate-removal efficiency, flue gas desulfurization (FGD) technology was selected by the US Department of Energy for pilot demonstration in its Acid Rain Precursor Control Technology Initiative. The process, identified as In-Duct Scrubbing (IDS), applies rotary atomizer techniques developed for lime-based spray dryer FGD while utilizing existing flue gas ductwork and particulate collectors. IDS technology is anticipated to result in a dry desulfurization process with a moderate removal efficiency (50% or greater) for high-sulfur coal-fired boilers. The critical elements for successful application are: (1) adequate mixing of sorbent droplets with flue gas for efficient reaction contact, (2) sufficient residence time to produce a non-wetting product, and (3) appropriate ductwork cross-sectional area to prevent deposition of wet reaction products before particle drying is comple. The ductwork in many older plants, previously modified to meet 1970 Clean Air Act requirements for particulate control, usually meet these criteria. A 12 MW-scale IDS pilot plant was constructed at the Muskingum River Plant of the American Electric Power System. The pilot plant, which operates from a slipstrem attached to the air-preheater outlet duct from the Unit 5 boiler at the Muskingum River Plant (which burns about 4% sulfur coal), is equipped with three atomizer stations to test the IDS concept in vertical and horizontal configurations. In addition, the pilot plant is equipped to test the effect of injecting IDS off- product upstream of the atomizer, on SO{sub 2}and NO{sub x} removals.

  12. Forecast of transportation energy demand through the year 2010

    SciTech Connect (OSTI)

    Mintz, M.M.; Vyas, A.D.

    1991-04-01

    Since 1979, the Center for Transportation Research (CTR) at Argonne National Laboratory (ANL) has produced baseline projections of US transportation activity and energy demand. These projections and the methodologies used to compute them are documented in a series of reports and research papers. As the lastest in this series of projections, this report documents the assumptions, methodologies, and results of the most recent projection -- termed ANL-90N -- and compares those results with other forecasts from the current literature, as well as with the selection of earlier Argonne forecasts. This current forecast may be used as a baseline against which to analyze trends and evaluate existing and proposed energy conservation programs and as an illustration of how the Transportation Energy and Emission Modeling System (TEEMS) works. (TEEMS links disaggregate models to produce an aggregate forecast of transportation activity, energy use, and emissions). This report and the projections it contains were developed for the US Department of Energy's Office of Transportation Technologies (OTT). The projections are not completely comprehensive. Time and modeling effort have been focused on the major energy consumers -- automobiles, trucks, commercial aircraft, rail and waterborne freight carriers, and pipelines. Because buses, rail passengers services, and general aviation consume relatively little energy, they are projected in the aggregate, as other'' modes, and used primarily as scaling factors. These projections are also limited to direct energy consumption. Projections of indirect energy consumption, such as energy consumed in vehicle and equipment manufacturing, infrastructure, fuel refining, etc., were judged outside the scope of this effort. The document is organized into two complementary sections -- one discussing passenger transportation modes, and the other discussing freight transportation modes. 99 refs., 10 figs., 43 tabs.

  13. Microsoft Word - Documentation - Price Forecast Uncertainty.doc

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

    October 2009 1 October 2009 Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1 Summary It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy- related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the market- clearing process

  14. Assessment of the possibility of forecasting future natural gas curtailments

    SciTech Connect (OSTI)

    Lemont, S.

    1980-01-01

    This study provides a preliminary assessment of the potential for determining probabilities of future natural-gas-supply interruptions by combining long-range weather forecasts and natural-gas supply/demand projections. An illustrative example which measures the probability of occurrence of heating-season natural-gas curtailments for industrial users in the southeastern US is analyzed. Based on the information on existing long-range weather forecasting techniques and natural gas supply/demand projections enumerated above, especially the high uncertainties involved in weather forecasting and the unavailability of adequate, reliable natural-gas projections that take account of seasonal weather variations and uncertainties in the nation's energy-economic system, it must be concluded that there is little possibility, at the present time, of combining the two to yield useful, believable probabilities of heating-season gas curtailments in a form useful for corporate and government decision makers and planners. Possible remedial actions are suggested that might render such data more useful for the desired purpose in the future. The task may simply require the adequate incorporation of uncertainty and seasonal weather trends into modeling systems and the courage to report projected data, so that realistic natural gas supply/demand scenarios and the probabilities of their occurrence will be available to decision makers during a time when such information is greatly needed.

  15. Towards a Science of Tumor Forecast for Clinical Oncology

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

    Yankeelov, Tom; Quaranta, Vito; Evans, Katherine J; Rericha, Erin

    2015-01-01

    We propose that the quantitative cancer biology community make a concerted effort to apply the methods of weather forecasting to develop an analogous theory for predicting tumor growth and treatment response. Currently, the time course of response is not predicted, but rather assessed post hoc by physical exam or imaging methods. This fundamental limitation of clinical oncology makes it extraordinarily difficult to select an optimal treatment regimen for a particular tumor of an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoplymore » of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful theory of tumor forecasting, it should be possible to integrate large tumor specific datasets of varied types, and effectively defeat cancer one patient at a time.« less

  16. Toward a science of tumor forecasting for clinical oncology

    SciTech Connect (OSTI)

    Yankeelov, Thomas E.; Quaranta, Vito; Evans, Katherine J.; Rericha, Erin C.

    2015-03-15

    We propose that the quantitative cancer biology community makes a concerted effort to apply lessons from weather forecasting to develop an analogous methodology for predicting and evaluating tumor growth and treatment response. Currently, the time course of tumor response is not predicted; instead, response is only assessed post hoc by physical examination or imaging methods. This fundamental practice within clinical oncology limits optimization of a treatment regimen for an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. Furthermore, with a successful methodology toward tumor forecasting, it should be possible to integrate large tumor-specific datasets of varied types and effectively defeat one cancer patient at a time.

  17. Toward a science of tumor forecasting for clinical oncology

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

    Yankeelov, Thomas E.; Quaranta, Vito; Evans, Katherine J.; Rericha, Erin C.

    2015-03-15

    We propose that the quantitative cancer biology community makes a concerted effort to apply lessons from weather forecasting to develop an analogous methodology for predicting and evaluating tumor growth and treatment response. Currently, the time course of tumor response is not predicted; instead, response is only assessed post hoc by physical examination or imaging methods. This fundamental practice within clinical oncology limits optimization of a treatment regimen for an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapiesmore » is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. Furthermore, with a successful methodology toward tumor forecasting, it should be possible to integrate large tumor-specific datasets of varied types and effectively defeat one cancer patient at a time.« less

  18. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect (OSTI)

    Yankeelov, Tom; Quaranta, Vito; Evans, Katherine J; Rericha, Erin

    2015-01-01

    We propose that the quantitative cancer biology community make a concerted effort to apply the methods of weather forecasting to develop an analogous theory for predicting tumor growth and treatment response. Currently, the time course of response is not predicted, but rather assessed post hoc by physical exam or imaging methods. This fundamental limitation of clinical oncology makes it extraordinarily difficult to select an optimal treatment regimen for a particular tumor of an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful theory of tumor forecasting, it should be possible to integrate large tumor specific datasets of varied types, and effectively defeat cancer one patient at a time.

  19. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations

    Broader source: Energy.gov [DOE]

    The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements.

  20. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  1. T-582: RSA systems has resulted in certain information being extracted from RSA systems that relates to RSA SecurID

    Broader source: Energy.gov [DOE]

    RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products.

  2. T-559: Stack-based buffer overflow in oninit in IBM Informix Dynamic Server (IDS) 11.50 allows remote execution

    Broader source: Energy.gov [DOE]

    Stack-based buffer overflow in oninit in IBM Informix Dynamic Server (IDS) 11.50 allows remote execution attackers to execute arbitrary code via crafted arguments in the USELASTCOMMITTED session environment option in a SQL SET ENVIRONMENT statement

  3. Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting

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

    Technology | Department of Energy Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology IBM logo.png As part of this project, new solar forecasting technology will be developed that leverages big data processing, deep machine learning, and cloud modeling integrated in a universal platform with an open architecture. Similar to the Watson computer system, this proposed technology

  4. Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System

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

    Operations | Department of Energy Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Clean Power Research logo.jpg This project will address the need for a more accurate approach to forecasting net utility load by taking into consideration the contribution of customer-sited PV energy generation. Tasks within the project are designed to integrate novel PV power

  5. Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2011-03-01

    The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

  6. ARM - PI Product - CCPP-ARM Parameterization Testbed Model Forecast Data

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

    ProductsCCPP-ARM Parameterization Testbed Model Forecast Data ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : CCPP-ARM Parameterization Testbed Model Forecast Data Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are

  7. The Value of Improved Wind Power Forecasting in the Western Interconne...

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

    of this research will facilitate a better functional understanding of wind forecasting accuracy and power system operations at various spatial and temporal scales.* Of particular ...

  8. Report of the external expert peer review panel: DOE benefits forecasts

    SciTech Connect (OSTI)

    None, None

    2006-12-20

    A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts.

  9. Integration of Behind-the-Meter PV Fleet Forecasts into Utility...

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

    Forecasting behind-the-meter distributed PV generation power production within a region ... This project is expected to reduce the costs of integrating higher penetrations of PV into ...

  10. Energy Department Announces $2.5 Million to Improve Wind Forecasting...

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

    turbines operate closer to maximum capacity, leading to lower energy costs for consumers. ... for the Weather Research and Forecasting model, a widely used weather prediction system. ...

  11. Value of Improved Wind Power Forecasting in the Western Interconnection (Poster)

    SciTech Connect (OSTI)

    Hodge, B.

    2013-12-01

    Wind power forecasting is a necessary and important technology for incorporating wind power into the unit commitment and dispatch process. It is expected to become increasingly important with higher renewable energy penetration rates and progress toward the smart grid. There is consensus that wind power forecasting can help utility operations with increasing wind power penetration; however, there is far from a consensus about the economic value of improved forecasts. This work explores the value of improved wind power forecasting in the Western Interconnection of the United States.

  12. EERE Success Story-Solar Forecasting Gets a Boost from Watson...

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

    electric system operators, and solar project owners better predict when and how much ... production varies, an accurate solar forecast is needed in order to maintain an ...

  13. AMENDMENT OF SOLlClTATlONlMODlFlCATION OF CONTRACT 1 I . CONTR"CT ID CODE

    National Nuclear Security Administration (NNSA)

    SOLlClTATlONlMODlFlCATION OF CONTRACT 1 I . CONTR"CT ID CODE BWXT Pantex, LLC Route 726, Mt. Athos Road Lynchburg, VA 24506 PAGE 1 OF 2 PAGES Albuquerque, NM 8718Ii4400 I Amarillo, TX 79120 9B. DATED (SEE m M 11) 10A. MODIFICATION OF CONTRACTIORDER NO. 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, &ate, ZIP Code) I ( DE-ACOCOOAL66620 10B. DATED (SEE / E M 13) 2. AMENDMENT/MODIFICATION NO. M097 9A. AMENDMENT OF SOLICITATION NO. Offera must a d t n d e d p rsceipt of this m e n

  14. The Wind Forecast Improvement Project (WFIP). A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations -- the Northern Study Area

    SciTech Connect (OSTI)

    Finley, Cathy

    2014-04-30

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the

  15. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the systems ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

  16. Recent Trends in Variable Generation Forecasting and Its Value to the Power System

    SciTech Connect (OSTI)

    Orwig, Kirsten D.; Ahlstrom, Mark L.; Banunarayanan, Venkat; Sharp, Justin; Wilczak, James M.; Freedman, Jeffrey; Haupt, Sue Ellen; Cline, Joel; Bartholomy, Obadiah; Hamann, Hendrik F.; Hodge, Bri-Mathias; Finley, Catherine; Nakafuji, Dora; Peterson, Jack L.; Maggio, David; Marquis, Melinda

    2014-12-23

    We report that the rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, and manage variable generation. The uncertainty around wind and solar power forecasts is still viewed by the power industry as being quite high, and many barriers to forecast adoption by power system operators still remain. In response, the U.S. Department of Energy has sponsored, in partnership with the National Oceanic and Atmospheric Administration, public, private, and academic organizations, two projects to advance wind and solar power forecasts. Additionally, several utilities and grid operators have recognized the value of adopting variable generation forecasting and have taken great strides to enhance their usage of forecasting. In parallel, power system markets and operations are evolving to integrate greater amounts of variable generation. This paper will discuss the recent trends in wind and solar power forecasting technologies in the U.S., the role of forecasting in an evolving power system framework, and the benefits to intended forecast users.

  17. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

  18. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison (Presentation)

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B.; Miettinen, J.; Holttinen, H.; Gomez-Lozaro, E.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Lovholm, A.; Berge, E.; Dobschinski, J.

    2013-10-01

    This presentation summarizes the work to investigate the uncertainty in wind forecasting at different times of year and compare wind forecast errors in different power systems using large-scale wind power prediction data from six countries: the United States, Finland, Spain, Denmark, Norway, and Germany.

  19. Recent Trends in Variable Generation Forecasting and Its Value to the Power System

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

    Orwig, Kirsten D.; Ahlstrom, Mark L.; Banunarayanan, Venkat; Sharp, Justin; Wilczak, James M.; Freedman, Jeffrey; Haupt, Sue Ellen; Cline, Joel; Bartholomy, Obadiah; Hamann, Hendrik F.; et al

    2014-12-23

    We report that the rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, and manage variable generation. The uncertainty around wind and solar power forecasts is still viewed by the power industry as being quite high, and many barriers to forecast adoption by power system operators still remain. In response, the U.S. Department of Energy has sponsored, in partnership with the National Oceanic and Atmospheric Administration, public, private, and academic organizations, two projects to advance wind and solar power forecasts. Additionally, several utilities and grid operators have recognized the value ofmore » adopting variable generation forecasting and have taken great strides to enhance their usage of forecasting. In parallel, power system markets and operations are evolving to integrate greater amounts of variable generation. This paper will discuss the recent trends in wind and solar power forecasting technologies in the U.S., the role of forecasting in an evolving power system framework, and the benefits to intended forecast users.« less

  20. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

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

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together intomore » larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.« less

  1. 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.

  2. Thirty-Year Solid Waste Generation Maximum and Minimum Forecast for SRS

    SciTech Connect (OSTI)

    Thomas, L.C.

    1994-10-01

    This report is the third phase (Phase III) of the Thirty-Year Solid Waste Generation Forecast for Facilities at the Savannah River Site (SRS). Phase I of the forecast, Thirty-Year Solid Waste Generation Forecast for Facilities at SRS, forecasts the yearly quantities of low-level waste (LLW), hazardous waste, mixed waste, and transuranic (TRU) wastes generated over the next 30 years by operations, decontamination and decommissioning and environmental restoration (ER) activities at the Savannah River Site. The Phase II report, Thirty-Year Solid Waste Generation Forecast by Treatability Group (U), provides a 30-year forecast by waste treatability group for operations, decontamination and decommissioning, and ER activities. In addition, a 30-year forecast by waste stream has been provided for operations in Appendix A of the Phase II report. The solid wastes stored or generated at SRS must be treated and disposed of in accordance with federal, state, and local laws and regulations. To evaluate, select, and justify the use of promising treatment technologies and to evaluate the potential impact to the environment, the generic waste categories described in the Phase I report were divided into smaller classifications with similar physical, chemical, and radiological characteristics. These smaller classifications, defined within the Phase II report as treatability groups, can then be used in the Waste Management Environmental Impact Statement process to evaluate treatment options. The waste generation forecasts in the Phase II report includes existing waste inventories. Existing waste inventories, which include waste streams from continuing operations and stored wastes from discontinued operations, were not included in the Phase I report. Maximum and minimum forecasts serve as upper and lower boundaries for waste generation. This report provides the maximum and minimum forecast by waste treatability group for operation, decontamination and decommissioning, and ER activities.

  3. Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

    Broader source: Energy.gov [DOE]

    Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

  4. Weather Research and Forecasting Model with Vertical Nesting Capability

    Energy Science and Technology Software Center (OSTI)

    2014-08-01

    The Weather Research and Forecasting (WRF) model with vertical nesting capability is an extension of the WRF model, which is available in the public domain, from www.wrf-model.org. The new code modifies the nesting procedure, which passes lateral boundary conditions between computational domains in the WRF model. Previously, the same vertical grid was required on all domains, while the new code allows different vertical grids to be used on concurrently run domains. This new functionality improvesmore » WRF's ability to produce high-resolution simulations of the atmosphere by allowing a wider range of scales to be efficiently resolved and more accurate lateral boundary conditions to be provided through the nesting procedure.« less

  5. TO: FILE FROM: SUBJECT:

    Office of Legacy Management (LM)

    ... ter;ts showed it wa6 thorcqhlymixed. ,Id peaslag out pellets of thi6 mate&& the die wa6 filled and the pllmgor imvstoL .Tho oorroct proses Was applied and hold for lQ,;WOOnds. ...

  6. AMENDMENT OF SOLIr ATI ON/MODIFI CATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES

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

    SOLIr ATI ON/MODIFI CATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES 2 AMENDMENT/lIVDDIFICATiON NC 3. EFFECTIVE DATE [4 REDUISITION/PURCHASE REC NO IE PR3JECT NC (if applicable) 09 ISoe Bloo , 16- - ISee Soheoule S ISSUED D> CODE 7 ~ ADMINISTERED BY (if otnertrian ItemS CO DE Of fice of Ri-.er PoDLecOLODn office of Riv'er P-oCQ-ec-.iQ .S. Cet:F O<men of E-nerov,, I.S. Deparo:merio c-' Enrgv P.O. Box 4'5C 0 ... Box 45C .io ao 1 31 W YS: (-876 B. NAME AND ADDRESS CF CONTRACTOR (No seve

  7. An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study

    SciTech Connect (OSTI)

    De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

    2011-01-17

    This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

  8. Review of Variable Generation Forecasting in the West: July 2013 - March 2014

    SciTech Connect (OSTI)

    Widiss, R.; Porter, K.

    2014-03-01

    This report interviews 13 operating entities (OEs) in the Western Interconnection about their implementation of wind and solar forecasting. The report updates and expands upon one issued by NREL in 2012. As in the 2012 report, the OEs interviewed vary in size and character; the group includes independent system operators, balancing authorities, utilities, and other entities. Respondents' advice for other utilities includes starting sooner rather than later as it can take time to plan, prepare, and train a forecast; setting realistic expectations; using multiple forecasts; and incorporating several performance metrics.

  9. U.S. Crude Oil Production Forecast-Analysis of Crude Types

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

    of Energy Washington, DC 20585 U.S. Energy Information Administration | U.S. Crude Oil Production Forecast-Analysis of Crude Types i This report was prepared by the U.S....

  10. Resource Information and Forecasting Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01

    Researchers in the Resource Information and Forecasting group at NREL provide scientific, engineering, and analytical expertise to help characterize renewable energy resources and facilitate the integration of these clean energy sources into the electricity grid.

  11. A Public-Private-Academic Partnership to Advance Solar Power Forecasting

    Broader source: Energy.gov [DOE]

    The University Corporation for Atmospheric  Research (UCAR) will develop a solar power forecasting system that advances the state of the science through cutting-edge research.

  12. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  13. Ramping Effect on Forecast Use: Integrated Ramping as a Mitigation Strategy; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Diakov, Victor; Barrows, Clayton; Brinkman, Gregory; Bloom, Aaron; Denholm, Paul

    2015-06-23

    Power generation ramping between forecasted (net) load set-points shift the generation (MWh) from its scheduled values. The Integrated Ramping is described as a method that mitigates this problem.

  14. Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Orwig, K.; Milligan, M.

    2012-06-01

    In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.

  15. Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain

    Office of Energy Efficiency and Renewable Energy (EERE)

    On April 4, 2014 the U.S. Department of Energy announced a $2.5 million funding opportunity entitled “Wind Forecasting Improvement Project in Complex Terrain.” By researching the physical processes...

  16. Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Steckler, N.; Florita, A.; Zhang, J.; Hodge, B. M.

    2013-11-01

    As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

  17. Energy Savings Forecast of Solid-State Lighting in General Illumination Applications

    Broader source: Energy.gov [DOE]

    Report forecasting the U.S. energy savings of LED white-light sources compared to conventional white-light sources (i.e., incandescent, halogen, fluorescent, and high-intensity discharge) over the...

  18. U.S. oil production forecast update reflects lower rig count

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

    U.S. oil production forecast update reflects lower rig count Lower oil prices and fewer rigs drilling for crude oil are expected to slow U.S. oil production growth this year and in ...

  19. Gasoline price forecast to stay below 3 dollar a gallon in 2015

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

    Gasoline price forecast to stay below 3 a gallon in 2015 The national average pump price of gasoline is expected to stay below 3 per gallon during 2015. In its new monthly ...

  20. Climate Leadership Conference (Seattle, WA)

    Broader source: Energy.gov [DOE]

    Sustainability leaders from the private, public, academic, and non-profit communities meet to explore market transformation, carbon management, and building climate resilience on an annual basis.

  1. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE: Preprint

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B. M.

    2014-09-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This study examines the value of improved solar power forecasting for the Independent System Operator-New England system. The results show how 25% solar power penetration reduces net electricity generation costs by 22.9%.

  2. U.S. Department of Energy Workshop Report: Solar Resources and Forecasting

    SciTech Connect (OSTI)

    Stoffel, T.

    2012-06-01

    This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

  3. Investigating the Correlation Between Wind and Solar Power Forecast Errors in the Western Interconnection: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Florita, A.

    2013-05-01

    Wind and solar power generations differ from conventional energy generation because of the variable and uncertain nature of their power output. This variability and uncertainty can have significant impacts on grid operations. Thus, short-term forecasting of wind and solar generation is uniquely helpful for power system operations to balance supply and demand in an electricity system. This paper investigates the correlation between wind and solar power forecasting errors.

  4. Solar energy conversion: Technological forecasting. (Latest citations from the Aerospace database). Published Search

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    The bibliography contains citations concerning current forecasting of Earth surface-bound solar energy conversion technology. Topics consider research, development and utilization of this technology in relation to electric power generation, heat pumps, bioconversion, process heat and the production of renewable gaseous, liquid, and solid fuels for industrial, commercial, and domestic applications. Some citations concern forecasts which compare solar technology with other energy technologies. (Contains 250 citations and includes a subject term index and title list.)

  5. Solar energy conversion: Technological forecasting. (Latest citations from the Aerospace database). Published Search

    SciTech Connect (OSTI)

    1995-01-01

    The bibliography contains citations concerning current forecasting of Earth surface-bound solar energy conversion technology. Topics consider research, development and utilization of this technology in relation to electric power generation, heat pumps, bioconversion, process heat and the production of renewable gaseous, liquid, and solid fuels for industrial, commercial, and domestic applications. Some citations concern forecasts which compare solar technology with other energy technologies. (Contains 250 citations and includes a subject term index and title list.)

  6. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE (Presentation)

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B.M.

    2014-11-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This presentation is an overview of a study that examines the value of improved solar forecasts on Bulk Power System Operations.

  7. Forecasting Wind and Solar Generation: Improving System Operations, Greening the Grid

    SciTech Connect (OSTI)

    Tian; Tian; Chernyakhovskiy, Ilya

    2016-01-01

    This document discusses improving system operations with forecasting and solar generation. By integrating variable renewable energy (VRE) forecasts into system operations, power system operators can anticipate up- and down-ramps in VRE generation in order to cost-effectively balance load and generation in intra-day and day-ahead scheduling. This leads to reduced fuel costs, improved system reliability, and maximum use of renewable resources.

  8. Wind Power Forecasting Error Frequency Analyses for Operational Power System Studies: Preprint

    SciTech Connect (OSTI)

    Florita, A.; Hodge, B. M.; Milligan, M.

    2012-08-01

    The examination of wind power forecasting errors is crucial for optimal unit commitment and economic dispatch of power systems with significant wind power penetrations. This scheduling process includes both renewable and nonrenewable generators, and the incorporation of wind power forecasts will become increasingly important as wind fleets constitute a larger portion of generation portfolios. This research considers the Western Wind and Solar Integration Study database of wind power forecasts and numerical actualizations. This database comprises more than 30,000 locations spread over the western United States, with a total wind power capacity of 960 GW. Error analyses for individual sites and for specific balancing areas are performed using the database, quantifying the fit to theoretical distributions through goodness-of-fit metrics. Insights into wind-power forecasting error distributions are established for various levels of temporal and spatial resolution, contrasts made among the frequency distribution alternatives, and recommendations put forth for harnessing the results. Empirical data are used to produce more realistic site-level forecasts than previously employed, such that higher resolution operational studies are possible. This research feeds into a larger work of renewable integration through the links wind power forecasting has with various operational issues, such as stochastic unit commitment and flexible reserve level determination.

  9. Wind power forecasting : state-of-the-art 2009.

    SciTech Connect (OSTI)

    Monteiro, C.; Bessa, R.; Miranda, V.; Botterud, A.; Wang, J.; Conzelmann, G.; Decision and Information Sciences; INESC Porto

    2009-11-20

    Many countries and regions are introducing policies aimed at reducing the environmental footprint from the energy sector and increasing the use of renewable energy. In the United States, a number of initiatives have been taken at the state level, from renewable portfolio standards (RPSs) and renewable energy certificates (RECs), to regional greenhouse gas emission control schemes. Within the U.S. Federal government, new energy and environmental policies and goals are also being crafted, and these are likely to increase the use of renewable energy substantially. The European Union is pursuing implementation of its ambitious 20/20/20 targets, which aim (by 2020) to reduce greenhouse gas emissions by 20% (as compared to 1990), increase the amount of renewable energy to 20% of the energy supply, and reduce the overall energy consumption by 20% through energy efficiency. With the current focus on energy and the environment, efficient integration of renewable energy into the electric power system is becoming increasingly important. In a recent report, the U.S. Department of Energy (DOE) describes a model-based scenario, in which wind energy provides 20% of the U.S. electricity demand in 2030. The report discusses a set of technical and economic challenges that have to be overcome for this scenario to unfold. In Europe, several countries already have a high penetration of wind power (i.e., in the range of 7 to 20% of electricity consumption in countries such as Germany, Spain, Portugal, and Denmark). The rapid growth in installed wind power capacity is expected to continue in the United States as well as in Europe. A large-scale introduction of wind power causes a number of challenges for electricity market and power system operators who will have to deal with the variability and uncertainty in wind power generation when making their scheduling and dispatch decisions. Wind power forecasting (WPF) is frequently identified as an important tool to address the variability and

  10. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID (United States) ... CO (United States) Naval Petroleum and Oil Shale Reserves (United States) Navarro ...

  11. September 2013 Most Viewed Documents for Renewable Energy Sources...

    Office of Scientific and Technical Information (OSTI)

    Energy Program, Olympia, WA; (3) Idaho National Engineering and Environmental Laboratory, Idaho Falls, ID (0001) 49 Development of the helical reaction hydraulic turbine. ...

  12. March 2014 Most Viewed Documents for Renewable Energy Sources...

    Office of Scientific and Technical Information (OSTI)

    Energy Program, Olympia, WA; (3) Idaho National Engineering and Environmental Laboratory, Idaho Falls, ID (0001) 46 Development of the helical reaction hydraulic turbine. ...

  13. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... Richland, WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID ... By using the non-equilibrium Green function method with the slave-boson mean field ...

  14. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... Richland, WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID ... Ma, Yingzhong (11) Fleming, Graham (4) Graham, Matt (4) Green, Alexander A. (3) Hersam, ...

  15. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID (United ... the Soudan Underground Laboratory and played key roles in the data acquisition and analysis. ...

  16. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Office of Classification Hanford Site (HNF), Richland, WA (United States) Idaho Chemical Processing Plant, Idaho Falls, ID (United States) Idaho National Engineering Laboratory,...

  17. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP) -- Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute - 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 - 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems’ ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 - 3 hours.

  18. Final Report on California Regional Wind Energy Forecasting Project:Application of NARAC Wind Prediction System

    SciTech Connect (OSTI)

    Chin, H S

    2005-07-26

    Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and

  19. Badging, Real ID

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

    Foreign national guests and employees must have an approved visit and present a valid passport and documentation of US legal status and work authorizations. Official visitors are...

  20. 11. CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    79120 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120 CODE I FACILITY ...