National Library of Energy BETA

Sample records for forecasting oiaf john

  1. John Gerrard

    Broader source: Energy.gov [DOE]

    John Gerrard is the NNSA Assistant Deputy Administrator for the Office of International Material Protection and Cooperation.

  2. John Ludlow

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

    John Ludlow John Ludlow FES Requirements Worksheet 1.1. Project Information - Atomic and Molecular Physics for Controlled Fusion Energy Document Prepared By John Ludlow Project Title Atomic and Molecular Physics for Controlled Fusion Energy Principal Investigator John Ludlow Participating Organizations Auburn University Oak Ridge National Laboratory Los Alamos National Laboratory University of Strathclyde Queen's University of Belfast Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: EAEC,

  3. John Cymbalsky

    Broader source: Energy.gov [DOE]

    John Cymbalsky is the Manager of the Appliance and Equipment Standards Program for the Energy Department's Building Technologies Office.

  4. John Bacik

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

    Batteries John B. Goodenough, Cathode Materials, and Rechargeable Lithium-ion Batteries Resources with Additional Information * Awards * Patents John B. Goodenough Photo Credit: Courtesy of The University of Texas at Austin Cockrell School of Engineering On September 17, 2009, U.S. Energy Secretary Steven Chu named John B. Goodenough as a winner of the Enrico Fermi Award ' in recognition for his lasting contributions to materials science and technology, especially the science underlying

  5. John Christman

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

    John C. Mather, the Big Bang, and the COBE Resources with Additional Information * Videos John C. Mather Courtesy of NASA "Dr. John C. Mather of NASA's Goddard Space Flight Center has won the 2006 Nobel Prize for Physics, awarded by the Royal Swedish Academy of Sciences. Mather shares the prize with George F. Smoot of the University of California for their collaborative work on understanding the Big Bang. Mather and Smoot analyzed data from NASA's Cosmic Background Explorer (COBE), which

  6. John Freeland

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

    of Physics, Northern Illinois University 1996 - 1998: National Research Council (NRC) Fellow Naval Research Laboratory The Johns Hopkins University; Ph. D in Physics, 1996...

  7. John Scott

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

    John Scott, Ph.D. Title: Scientific Director Professor - Research Adjunct Professor, Chemistry, University of Louisiana, Monroe Office Tel. : (225) 578-4605

  8. John Dominicis

    Broader source: Energy.gov [DOE]

    As Director, Information Technology Services Office and Chief Information Officer for the Office of Energy Efficiency and Renewable Energy (EERE), John Dominicis collaborates with e-government and...

  9. John Bacik

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

    John Bacik August 25, 2015 Enzyme detective If Laboratory postdoc John-Paul (John) Bacik gets his wish, the world will significantly reduce its fossil fuel dependence in time for his young daughter's twenty-first birthday in 2035. Bacik is doing his part by contributing some of the molecular biology research necessary to make biofuels a cost#effective option. "Plants and algae hold a lot of potential for abundant, renewable energy," Bacik says. "Although a variety of methods are

  10. John Podesta

    Broader source: Energy.gov [DOE]

     John Podesta is Chair of the Center for American Progress and the Center for American Progress Action Fund. Under his leadership American Progress has become a notable leader in the...

  11. John Moon

    Broader source: Energy.gov [DOE]

    Mr. John Unyong Moon is very active in supporting Asian American Pacific Islanders in government and community. He was on the Board of Directors for the DOE Asian American Pacific Islander Network ...

  12. John Nangle

    Broader source: Energy.gov [DOE]

    John Nangle has been with the National Renewable Energy Laboratory (NREL) since April 2009. His work at the lab includes assisting in the development of federal greenhouse gas accounting standards...

  13. John Conti

    Gasoline and Diesel Fuel Update (EIA)

    Conti Assistant Administrator for Energy Analysis Duties John Conti is the Assistant Administrator for Energy Analysis. The Assistant Administrator for Energy Analysis analyzes energy supply, demand, and prices including the impact of financial markets on energy markets; prepares reports on current and future energy use; analyzes the impact of energy policies; and develops advanced techniques for conducting energy information analyses. John also oversees the planning and execution of EIA's

  14. John Cuffe | Solid State Solar Thermal Energy Conversion

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

    John Cuffe Alumni John Cuffe

  15. 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,...

  16. John Walsh | Department of Energy

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

    John Walsh John Walsh Phone 202-287-5774 E-mail john.walsh@hq.doe.gov Last Name Walsh First Name John Title Director, Workforce Analysis and Planning Division

  17. Patents -- John B. Goodenough

    Office of Scientific and Technical Information (OSTI)

    ... FRAMEWORK STRUCTURE - Goodenough, John B; Thackeray, Michael M.; March 26, 1985 The invention provides an electrochemical cell wherein an anode, solid electrolyte and ...

  18. Memorial John Adams

    ScienceCinema (OSTI)

    None

    2011-04-25

    Plusieurs orateurs honorent la mémoire de Sir John Adams (1920-1984), ancien DG du Cern et un "homme unique"

  19. John Turner - Research Fellow | NREL

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

    John Turner - Research Fellow Photo of John Turner Research Fellows Dr. John Turner has been at NREL since 1979 and is recognized as a world-class scientist and international ...

  20. John Smegal | Department of Energy

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

    John Smegal About Us John Smegal - Workforce Development Lead, Advanced Manufacturing Office Most Recent Industrial Assessment Center Awards: Recognizing Excellence in Future Energy Leaders May 5

  1. Me. John Ki

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

    Me. John Ki eling , Acting Chief Ha zardous Waste Bureau Department of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad, New Mexico 88221 JAN 131m New Mexico Environment...

  2. John E. Kelly

    Broader source: Energy.gov [DOE]

    Dr. John E. Kelly was appointed Deputy Assistant Secretary for Nuclear Reactor Technologies in the Office of Nuclear Energy in October 2010. His office is responsible for the Department of Energy ...

  3. John A. Owsley

    Broader source: Energy.gov [DOE]

    John A. Owsley serves as the Director of the Tennessee Department of Environment and Conservation’s Division of DOE Oversight. The Division implements the Tennessee Oversight Agreement (TOA)...

  4. John W. Meeker

    Broader source: Energy.gov [DOE]

    As Deputy of Procurement Services for the Golden Field Office in the Office of Energy Efficiency and Renewable Energy (EERE), John directs the procurement activity—both acquisition and financial...

  5. John Baker | Bioenergy | NREL

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

    Baker Senior Scientist John.Baker@nrel.gov | 303-384-7770 Research Interests John Baker's core expertise is as a chemical kineticist specializing in the kinetics of enzyme-catalyzed reactions. His interdisciplinary work at the National Renewable Energy Laboratory (NREL) has taken him through such diverse areas as microbiology, chromatographic methods development, calorimetry, fluorescence spectroscopy, and practical fluid mechanics. Since joining the Enzyme Technology Focus Team in 1984, he has

  6. Kesheng John Wu

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

    Tutorial on Aztec Kesheng John Wu outline * what does it do * how to use it * questions Aztec A massively parallel iterative solver library for solving sparse linear systems Sandia National Laboratories Ray S. Tuminaro John N. Shadid Scott A. Hutchinson Lydie Provost Charles H. Tong web address http://www.cs.sandia.gov/CRF/aztec1.html Software description * * Distributed (SPMD): MPI * Matrix type: unstructured sparse data-local matrices, e.g., from finite elements * simple parallelization: no

  7. Peter St. John | Bioenergy | NREL

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

    St. John Peter St. John Postdoctoral Researcher, Systems Biology and Metabolic Engineering Peter.StJohn@nrel.gov | 303-275-4399 Education Peter St. John received his B.S. in chemical engineering from Tufts University in 2010, followed by his Ph.D. in chemical engineering from the University of California at Santa Barbara in 2015. During his Ph.D., St. John applied techniques from systems biology and dynamic systems to understand the gene regulatory networks underlying mammalian circadian

  8. John K. Medici (Acting) | Department of Energy

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

    John K. Medici (Acting) About Us John K. Medici (Acting) - Deputy CIO for Cybersecurity Mr. John K. Medici serves as the (Acting) Deputy Chief Information Officer (OCIO) for ...

  9. 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....

  10. Faces of Science: John Gordon

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

    John Gordon March 4, 2015 Passion for solutions to energy problems John Gordon uses his passion for energy science to help solve significant problems. 1:07 Faces of Science: John Gordon - 2 - John Gordon's passion grew while attending school in Scotland, where a series of chemistry and physics teachers instilled in him a sense of curiosity as to how things worked in nature and the universe. He is currently developing methods that use carbohydrates as renewable and sustainable sources of

  11. John Shonder | Department of Energy

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

    John Shonder About Us John Shonder - Director, Sustainability Performance Office (SPO) John Shonder was appointed Director of the Sustainability Performance Office (SPO) on May 11, 2015. John has devoted his career to the design, implementation and evaluation of policies and programs to improve the sustainability of federal facilities by reducing energy and water use and increasing the use of renewables. Most recently, he served as Program Manager for Oak Ridge National Laboratory's (ORNL's)

  12. John Deutch | Department of Energy

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

    John Deutch About Us John Deutch - MIT Chemist, Former Under Secretary of Energy Photo of John Deutch John M. Deutch is an Institute Professor at the Massachusetts Institute of Technology. Mr. Deutch has been a member of the MIT faculty since 1970, and has served as Chairman of the Department of Chemistry, Dean of Science and Provost. Mr. Deutch has published over 140 technical publications in physical chemistry, as well as numerous publications on technology, energy, international security, and

  13. John MacAuley

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

    John MacAuley About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Administration Advanced Network Technologies Cybersecurity Infrastructure, Identity & Collaboration Network Engineering Network Planning Operational Enhancements Office of the CTO Science Engagement Tools Team Contact Us Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607

  14. QER- Comment of John Hanold

    Broader source: Energy.gov [DOE]

    I urge the Energy view Task Force and other elements of the Dept of Energy to withhold approval for surveying, designing, permitting and construction (or other activities) related to the construction of a natural gas pipeline across northern Massachusetts for these reasons, among others: National energy policy should be directed toward the development and deployment of energy sources which offer long-term sustainability. By incentivizing extraction and shipment of fossil fuels the proposed pipeline delays pursuit of this goal, and distracts attention from projects with better long-term potential. National action should address long-term re-direction of energy planning, focussing on energy conservation and development of renewable sources. Concentration on short-term solutions delays responsible attention to future economic impacts. Expansion of pipeline and rail transport of fuels should have a lower priority than correction of safety and emission shortcomings in existing facilities. Investment in repair of existing pipelines will reduce leaks, and by increasing the usable delivery volume from current pipelineslines will help meet the forecasted growth of energy demand. Reduction in leaks from current pipelines will also reduce emission of "greenhouse gasses," and improve air quality. The proposed pipeline contradicts and impairs our national goals of preservation and conservation of natural resources. Any "job-creation" justification is short-sighted and disingenuous. No project should be justified on these grounds, absent significant benefits, because employment in an environmentally-destructive and economically-disruptive industry undermines other public benefits. In addition, the impact on permanent employment levels will be less than that of expansion of alternative-energy sources. John Hanold

  15. 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 3,153 3,143 -0.3% Price (centskWh) 12.06 12.09 12.58 13.04 12.95 12.96 ...

  16. Mr. John Scaramella

    Office of Legacy Management (LM)

    Washington, DC 20545 (I I\]\(. 2,; , J, j ,qp( Tr*L- i Mr. John Scaramella 1434E Richmond Road Staten Island, New York 10304 Dear Mr. Scaramella: The Department of Energy is implementing a program to evaluate the radiological condition of sites that were utilized under the Manhattan Engineer District and/or the Atomic Energy Commission in the development of nuclear energy and weapons. The property listed as Block 1105, Lot 26 in Staten Island (1940's address 2393 Richmond Terrace, Port Richmond,

  17. Me. John Ki

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

    Me. John Ki eling , Acting Chief Ha zardous Waste Bureau Department of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad, New Mexico 88221 JAN 131m New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Subject: Notification of Results of Evaluation of Sampling Line Loss, Waste Isolation Pilot Plant-Revised Dear Mr. Kieling : As required under Permit Part 4, Condition 4.6 .5.5 , the Permittees are hereby notifying the New Mexico Environment

  18. John Coggin | Department of Energy

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

    John Coggin About Us John Coggin - Communications Specialist, Weatherization and Intergovernmental Programs Profile - J Coggin.jpg.jpeg John Coggin was born in Annapolis, Maryland. He gained a profound appreciation for natural resources during his childhood on the Chesapeake Bay. He earned a bachelor's degree from Yale University and a master's degree in public policy from University of Maryland. He writes books and articles on politics, environmental policy, and art. Most Recent Energy

  19. John Herczeg | Department of Energy

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

    Herczeg About Us John Herczeg - Deputy Assistant Secretary for Fuel Cycle Technologies John Herczeg Dr. John W. Herczeg currently serves as the Deputy Assistant Secretary for Fuel Cycle Technologies with the Department of Energy's Office of Nuclear Energy, whose mission promotes nuclear power as a resource capable of meeting the Nation's energy, environmental and national security needs. He manages a research and development budget of about $185 million and a federal staff workforce of about 50

  20. John Kotek | Department of Energy

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

    Kotek About Us John Kotek - Acting Assistant Secretary for the Office of Nuclear Energy John Kotek John Kotek serves as the Acting Assistant Secretary for the Office of Nuclear Energy. The Office is responsible for conducting research on current and future nuclear energy systems, maintaining the government's nuclear energy research infrastructure, establishing a path forward for the nation's spent nuclear fuel and high-level nuclear waste management program, and a host of other national

  1. Christopher Johns | Department of Energy

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

    Christopher Johns About Us Christopher Johns - Director, Office of Budget (CF-30) Christopher Johns Christopher S. Johns has been at the Department of Energy since 2010, serving as the Director for the Office of Budget since early 2011 and as the Deputy Director for Budget Operations for a year prior to that. Before coming to the Department of Energy, Chris worked at the Office of Management and Budget (OMB) for 11 years. There, he was the program examiner for a variety of national security

  2. John Deere | Open Energy Information

    Open Energy Info (EERE)

    (ICBR) project. The purpose of that project was to design and demonstrate the feasibility and practicality of alternative energy and renewable resource technology 2. John...

  3. John Horst | Department of Energy

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

    John Horst is a Public Affairs Specialist with the Office of Energy Efficiency and Renewable Energy. Most Recent Super Bowl City Leads on Energy Efficient Forefront February 2 ...

  4. John Hryn | Argonne National Laboratory

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

    Hryn Process Development Engineer - Energy Systems John Hryn is an expert in aluminum and magnesium processing and recycling, and electrodialysis processing. He has spent the...

  5. John Blinkhorne | Open Energy Information

    Open Energy Info (EERE)

    John Blinkhorne Place: Dundee, United Kingdom Product: Managing Director of Advanced Batteries Ltd. Coordinates: 45.27939, -123.009669 Show Map Loading map......

  6. John Hryn | Argonne National Laboratory

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

    Year Award 2014 | Department of Energy John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 December 4, 2014 - 10:32am Addthis John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 At a ceremony in Washington D.C. on November 21, the Minority Chamber of Commerce (MCC) awarded John Hale III, Director of the U.S. Department of Energy's

  7. John Johansen | Department of Energy

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

    Johansen About Us John Johansen John Johansen is a Project Officer with the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy. Most Recent Saving Gas While Fighting Crime in Tallahassee March 20 Hollywood, Florida Celebrates a Less Traditional Type of "Sweeps Week" May 13 In Savannah, Georgia, Even the Data is Green May 5

  8. John J. MacWilliams

    Broader source: Energy.gov [DOE]

    John J. MacWilliams was appointed in August 2015 as Associate Deputy Secretary of the U.S. Department of Energy. He also serves as the Department’s Chief Risk Officer and advances...

  9. John Schueler | Department of Energy

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

    John in the middle of a sold out concert, engaging in a friendly game of Catan, rooting for all things Michigan (Go Blue) or plotting an escape to the South Carolina shoreline. ...

  10. Faces of Science: John Gordon

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

    of sugars. Today, he's interested in the use of carbohydrates not as a form of nutrition but as renewable and sustainable sources of hydrocarbon fuels. March 4, 2015 John...

  11. John Chu | Department of Energy

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

    An avid runner and former dance teacher, John spends his free time running with groups and enjoying the arts around Washington, DC. Most Recent 3 Easy Tips to Reduce Your Standby ...

  12. John Michael Yarbrough | Bioenergy | NREL

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

    Michael Yarbrough Research Scientist John.Yarbrough@nrel.gov | 303-384-6831 Research Interests John Yarbrough received his Ph.D. in Applied Physics from the Colorado School of Mines (CSM) in 2007 where his research activities primarily involved investigating the electronic and optical properties of advanced polycrystalline semiconductor materials systems and device structures. He spent most of his time at CSM developing and using novel characterization techniques to obtain a fundamental

  13. John Dupuy | Department of Energy

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

    Dupuy About Us John Dupuy - Assistant Inspector General for Investigations John Dupuy was appointed as the Assistant Inspector General for Investigations in June 2015. Mr. Dupuy is responsible for investigations of the Department's programs and operations. Mr. Dupuy has been part of the Office of Inspector General (OIG) community since 1991, and has served in a variety of leadership positions throughout his career in both, the field and Headquarters. Mr. Dupuy comes to us from the Department of

  14. John Hartman | Department of Energy

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

    Hartman About Us John Hartman - Deputy Inspector General for Investigations Career Highlights DOE Assistant Inspector General for Investigations Special Agent for DOE Inspector General Special Agent for General Services Administration John R. Hartman became the Deputy Inspector General for Investigation in December 2010. Prior to this he was the Assistant Inspector General for Investigations. Mr. Hartman is responsible for all investigations of the Department's programs and operations, which

  15. QER- Comment of John Keenum

    Broader source: Energy.gov [DOE]

    As a Richmond, Massachusetts, resident, I do not want to see an additional right of way scarring the landscape. As a citizen of the globe, I know that we need to leave fossil fuels in the ground and invest in developing alternative supplies of energy. John Keenum

  16. John 'Skip' Reddy | Argonne Leadership Computing Facility

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

    John 'Skip' Reddy Team Lead / HPC Infrastructure John 'Skip' Reddy Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1120 Argonne IL, 60439 630-252-1377 jreddy

  17. John H. Hale III | Department of Energy

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

    John H. Hale III About Us John H. Hale III - Director, Office of Small and Disadvantaged Business Utilization John H. Hale III Career Highlights Hale is the former Deputy Associate Administrator for the Office of Capital Access at the U.S. Small Business Administration (SBA). In that role, he managed the agency's operations and initiatives designed to enhance customer service for its internal and external stakeholders. John Hale III is the Director of the Office of Small and Disadvantaged

  18. John Arthur (Jay) Mullis | Department of Energy

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

    John Arthur (Jay) Mullis About Us John Arthur (Jay) Mullis - Deputy Manager John Arthur (Jay) Mullis John Arthur (Jay) Mullis II is the Deputy Manager for the Oak Ridge Office of Environmental Management. In this capacity, he helps direct and support the office's federal project directors, division directors, and procurement and contracts group lead to ensure federal oversight and progress conducting environmental cleanup across the Oak Ridge Reservation. Previously to his selection in February

  19. Fermilab Office of General Counsel - John Myer

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

    John Myer General Counsel Phone: 630-840-3252 Email: jmyer@fnal.gov John Myer John Myer is General Counsel at the Fermi National Accelerator Laboratory, America’s laboratory for particle physics and accelerators. He leads the Office of General Counsel and is a member of Fermilab’s leadership team. John earned his J.D. from the University of Michigan Law School and his B.A. from Oberlin College. Before joining Fermilab, John was Associate General Counsel and Leader of the Global Government

  20. 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 ...

  1. 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...

  2. Forecasting Water Quality & Biodiversity

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

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

  3. 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...

  4. John W. Meeker | Department of Energy

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

    John W. Meeker About Us John W. Meeker Deputy, Procurement Services, Golden Field Office As Deputy of Procurement Services for the Golden Field Office in the Office of Energy Efficiency and Renewable Energy (EERE), John directs the procurement activity-both acquisition and financial assistance-for EERE programs and projects in virtually all technology areas. This portfolio spans wind, solar, geothermal, bioenergy, advanced manufacturing, fuel cells, buildings, water, and hydrogen technologies,

  5. John Angelis named Manager, Information Resource Management

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

    Names John S. Angelis Manager of Information Resource Management CARLSBAD, N.M., March 22, 2000 - The Westinghouse Waste Isolation Division (WID) has named John S. Angelis of Carlsbad as Manager of Information Resource Management at the Waste Isolation Pilot Plant (WIPP). "John's extensive computer technology and telecommunications experience, combined with his progressive attitude, make him an ideal choice for this increasingly important position," said WID General Manager Joe

  6. TO: Daniel Cohen Cc: John Cymbalsky

    Energy Savers [EERE]

    4/2014 TO: Daniel Cohen Cc: John Cymbalsky RE: Ex Parte discussion of commercial fan and blower rulemaking On November 3rd, Jordan Doria, Manager of Stakeholder Engagement, Ingersoll Rand, convened a teleconference with John Cymbalsky and Daniel Cohen of DOE. The purpose of the discussion was to address issues pertaining to the ongoing commercial and industrial fan and blower rulemaking as they impact Ingersoll Rand's Trane products. Jordan updated John and Daniel on the impacts of the rule on

  7. Fermilab Today | Johns Hopkins University Profile

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

    Hopkins University September 9, 2010 NAME: The Johns Hopkins University HOME TOWN: Baltimore, Maryland MASCOT: Blue jay SCHOOL COLORS: The university's official colors are gold...

  8. John T. Murphy | Argonne National Laboratory

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

    Schueler About Us John Schueler - Former New Media Specialist, Office of Public Affairs John Schueler A founding member of the New Media Office in the Office of Public Affairs, John Schueler served as a New Media Specialist at the Energy Department from March 2009 to January 2012. Prior to being appointed to his position at Energy, John worked for the Obama for America campaign as both a Field Organizer and New Media Director, acting on a passion for the political process that he developed

  9. 2013 Federal Energy and Water Management Award Winners John Eichhorst, John

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

    Fehr, M. Renee Jewell, and Kathleen Kreyns | Department of Energy John Eichhorst, John Fehr, M. Renee Jewell, and Kathleen Kreyns 2013 Federal Energy and Water Management Award Winners John Eichhorst, John Fehr, M. Renee Jewell, and Kathleen Kreyns PDF icon fewm13_usda_sandimasca_highres.pdf PDF icon fewm13_usda_sandimasca.pdf More Documents & Publications Federal Utility Partnership Working Group - Utility Interconnection Panel CX-001390: Categorical Exclusion Determination

  10. Using Wikipedia to forecast disease

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

    Using Wikipedia to forecast disease Using Wikipedia to forecast disease Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. December 22, 2014 Using Wikipedia to forecast disease Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "A global disease-forecasting system will improve

  11. 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 ...

  12. Postdoctoral Research Awards Annual Research Meeting: John Shelton...

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

    John Shelton Postdoctoral Research Awards Annual Research Meeting: John Shelton Poster Presentation at EERE Annual Research Meeting, Postdoctoral Research Awards, from the U.S. ...

  13. NREL: Photovoltaics Research - John Wohlgemuth, Ph.D.

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

    John Wohlgemuth, Ph.D. Principal Scientist Photo of John Wohlgemuth. 303-384-7982 Task Focus: Standards development, module failure analysis and the development of accelerated...

  14. John C. Barnes of Savannah River Operations named 2012 Facility...

    Energy Savers [EERE]

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

  15. John C. Layton: Before The Subcommittee on Oversight and Investigation...

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

    U.S. House of Representatives John C. Layton: Before The Subcommittee on Oversight and ... House of Representatives Statement of John C. Layton, Inspector General Department of ...

  16. John C. Layton: Before The Subcommittee on Oversight and Investigation...

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

    Committee on Commerce John C. Layton: Before The Subcommittee on Oversight and ... Statement of John C. Layton, Inspector General U. S. Department of Energy Testimony in ...

  17. John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines...

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

    John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines and Switched Reluctance Motors to Replace Permanent Magnets in Electric Vehicles John Hsu, Oak Ridge National...

  18. John C. Layton: Before the Subcommittee on Oversight and Investigation...

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

    John C. Layton: Before the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives John C. Layton: Before the Subcommittee on Oversight and...

  19. University) [Johns Hopkins University] 71 CLASSICAL AND QUANTUM...

    Office of Scientific and Technical Information (OSTI)

    Zlatko (Johns Hopkins University) Johns Hopkins University 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;...

  20. John De Laeter Centre For Isotope Research | Open Energy Information

    Open Energy Info (EERE)

    2013 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for John De Laeter Centre For Isotope Research Citation Curtin University. John...

  1. 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

  2. The forecast calls for flu

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

    The forecast calls for flu Science on the Hill: 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

  3. High Throughput Materials Characterization John M. Gregoire

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

    Alpha N'Diaye JCAP 3 : John Gregoire, Santosh Suram, Misha Pesenson, Junko Yano, Frances Houle CMI 4 : Matt Kramer JCESR 5 : Venkat Srinivasan Kristin Persson (MP 6 ), Tieren...

  4. NREL: Photovoltaics Research - John F. Geisz, Ph.D.

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

    303-384-6474 john.geisz@nrel.gov Dr. John Geisz is a principal scientist in the High Efficiency Crystalline Photovoltaics Group at NREL. He received his doctorate in chemical...

  5. John Shalf Is Named Chief Technology Officer for NERSC

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

    John Shalf Is Named Chief Technology Officer for NERSC John Shalf Is Named Chief Technology Officer for NERSC December 5, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510 486 5849 ...

  6. Lobbyist Disclosure Form - John Thorne | Department of Energy

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

    John Thorne Lobbyist Disclosure Form - John Thorne John inquired whether there were any open solicitations for biofuels projects under 1703 and 1705. He was told there were no open solicitations at this time, and it was unclear whether there would be any new solicitations in the future. He was also informed that 1705 expired. PDF icon Lobbyist_disclosure_John_Thorne_1182011.pdf More Documents & Publications Interested Parties - K&L Group Lobbyist Disclosure Form - AltEn

  7. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSYS

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

    November 30, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSYS MICHAEL SCHAAL DIRECTOR, OFFICE OF ENERGY ANALYSIS JOHN POWELL TEAM LEADER, LIQUID FUELS MARKET TEAM MINDI FARBER-DeANDA TEAM LEADER, BIOFUELS & EMERGING TECHNOLOGIES TEAM FROM: LIQUID FUELS MARKET TEAM SUBJECT: First AEO2016 Liquid Fuels Markets Working Group Meeting Summary (presented on 11-19-2015) Attendees: (EIA) John Conti, Michael Schaal, John Powell, Mindi Farber-DeAnda, Adrian Geagla, Beth May,

  8. NIACC John Pappajohn Entrepreneurial Center JPEC | Open Energy...

    Open Energy Info (EERE)

    Entrepreneurial Center (JPEC) Place: United States Sector: Services Product: General Financial & Legal Services ( Partnership (investment, law etc) ) References: NIACC John...

  9. John Tomlin | Center for Bio-Inspired Solar Fuel Production

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

    John Tomlin Graduate student Subtask 4 project: "Synthesis of Functionalized Organic Dyes for Photochemical Water Oxidation

  10. 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)

  11. Supply Forecast and Analysis (SFA)

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

    Science Team Leader Oak Ridge National Laboratory DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Supply Forecast and Analysis (SFA) 2 | Bioenergy Technologies ...

  12. 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.

  13. 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:...

  14. John C Lacenere | Princeton Plasma Physics Lab

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

    5 Electric Power Research Institute, Inc. All rights reserved. Francisco de la Chesnaye, Technical Executive John Bistline, Project Manager EIA Energy Conference June 15, 2015 Economy-wide Greenhouse Gas Mitigation 2 © 2015 Electric Power Research Institute, Inc. All rights reserved. U.S. Intended nationally determined contribution to the UNFCCC "Substantial global emission reductions are needed to keep the global temperature rise below 2 degrees Celsius, and the 2025 target is consistent

  15. High Throughput Materials Characterization John M. Gregoire

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

    Paper for Establishing a User Facility for Synchrotron-based High Throughput Materials Characterization John M. Gregoire 1 , Matthew J. Kramer 2 , Apurva Mehta 3 1 Joint Center for Artificial Photosynthesis, California Institute of Technology, Pasadena, CA, gregoire@caltech.edu 2 Critial Materials Institute, Ames Laboratory, Iowa State University, Ames IA, mjkramer@ameslab.gov 3 Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA,

  16. John Seaman | Savannah River Ecology Laboratory

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

    Seaman Curriculum Vitae Faculty & Scientists SREL Home John Seaman Savannah River Ecology Laboratory P O Drawer E, Aiken, SC 29802 (803) 725-0977 office (803) 725-3309 fax seaman(at)uga.edu Dr. Seaman's research interests include a number of active agricultural and environmental research areas: the land application of animal waste and coal combustion by-products; solute and contaminant transport modeling; reclamation of Cr(VI) contaminated aquifers and soils; in situ contaminant

  17. QER- Comment of John Woolsey 1

    Broader source: Energy.gov [DOE]

    I am completely against this Shale Gas Tennessee Pipeline Northeast Extension through the North Quabbin region of Massachusetts. It could be routed less destructively through existing public rights of way that seem to exist already in the southern parts of the state, which already has a pipeline in place. We don't need it and don't want it up here, where it would ruin a landscape that many of us have worked hard to preserve. Sincerely, John Woolsey

  18. 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:...

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

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

    6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement ...

  20. 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.

  1. QER- Comment of John R. Schmidt

    Broader source: Energy.gov [DOE]

    "Quadrennial Energy Review: Comment on the Public Meeting "Enhancing Infrastructure Resiliency," held April 11, 2014, Washington, DC". Why would this meeting not be conducted live onLine? or, at least, recorded for later access. Thank you, sincerely, john r schmidt, master (lover) of Science understanding GOD president, NCAD Corporation www.NCAD.net owner, schmidtPro www.schmidtPro.com dedicated River-straddler Erlanger, KY 41018 Cincinnati, OH 45202-0931 computer engineering Network Communications Geospatial Integrative Service Business engineering schmidtPro professional green improv improving earth and health for better world earth Model Do http://emoDo.net

  2. 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

  3. John B. Goodenough, Cathode Materials, and Rechargeable Lithium-ion

    Office of Scientific and Technical Information (OSTI)

    Batteries John B. Goodenough, Cathode Materials, and Rechargeable Lithium-ion Batteries Resources with Additional Information * Awards * Patents John B. Goodenough Photo Credit: Courtesy of The University of Texas at Austin Cockrell School of Engineering On September 17, 2009, U.S. Energy Secretary Steven Chu named John B. Goodenough as a winner of the Enrico Fermi Award ' in recognition for his lasting contributions to materials science and technology, especially the science underlying

  4. John C. Mather, the Big Bang, and the COBE

    Office of Scientific and Technical Information (OSTI)

    John C. Mather, the Big Bang, and the COBE Resources with Additional Information * Videos John C. Mather Courtesy of NASA "Dr. John C. Mather of NASA's Goddard Space Flight Center has won the 2006 Nobel Prize for Physics, awarded by the Royal Swedish Academy of Sciences. Mather shares the prize with George F. Smoot of the University of California for their collaborative work on understanding the Big Bang. Mather and Smoot analyzed data from NASA's Cosmic Background Explorer (COBE), which

  5. Sir John Pople, Gaussian Code, and Complex Chemical Reactions

    Office of Scientific and Technical Information (OSTI)

    Sir John Pople, Gaussian Code, and Complex Chemical Reactions Resources with Additional Information Sir John A. Pople Courtesy of Northwestern University Sir John A. Pople [was] a mathematician who became a chemist and won a Nobel Prize in 1998 for a computer tool that describes the dance of molecules in chemical reactions ... . Dr. Pople was among the first to realize the potential of computers in chemistry. The behavior of all molecules is defined by the Schrödinger equation, the fundamental

  6. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    10, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS ANGELINA LAROSE TEAM LEADER NATURAL GAS MARKETS TEAM JOHN STAUB TEAM LEADER EXPLORATION AND PRODUCTION TEAM FROM: EXPLORATION AND PRODUCTION and NATURAL GAS MARKETS TEAMS SUBJECT: Second AEO2013 Oil and Gas Working Group Meeting Summary (presented on 10-04-2012) Participants: Alan Wilson (ENCANA) Bill Pepper (ICFI) via WEBEX via WEBEX Evelyn Dale (NETL) via WEBEX John Pyrdol (FE) via WEBEX Bob Hugman (ICFI ) via

  7. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

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

    3 December 15, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS FROM: ANGELINA LAROSE TEAM LEAD NATURAL GAS MARKETS TEAM JOHN STAUB TEAM LEAD EXPLORATION AND PRODUCTION ANALYSIS TEAM EXPLORATION AND PRODUCTION and NATURAL GAS MARKETS TEAMS SUBJECT: First AEO2016 Oil and Gas Working Group Meeting Summary (presented on December 1, 2015) Attendees: Joseph Benneche (EIA) Terry Yen (EIA) Dana Van Wagener (EIA)* Troy Cook (EIA)* Angelina LaRose (EIA) John Staub (EIA)* David

  8. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

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

    4 September 30, 2014 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS FROM: ANGELINA LAROSE TEAM LEAD NATURAL GAS MARKETS TEAM JOHN STAUB TEAM LEAD EXPLORATION AND PRODUCTION ANALYSIS TEAM EXPLORATION AND PRODUCTION and NATURAL GAS MARKETS TEAMS SUBJECT: Second AEO2015 Oil and Gas Working Group Meeting Summary (presented on September 16, 2014) Attendees: John Pyrdol (DOE) Kenneth Vincent (DOE) Ben Schlesinger (BSA) Joseph Benneche (EIA) Dana Van Wagener (EIA)* Troy Cook

  9. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSYS

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

    March 9, 2016 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSYS MICHAEL SCHAAL DIRECTOR, OFFICE OF ENERGY ANALYSIS JOHN POWELL TEAM LEADER, LIQUID FUELS MARKET TEAM MINDI FARBER-DeANDA TEAM LEADER, BIOFUELS & EMERGING TECHNOLOGIES TEAM FROM: LIQUID FUELS MARKET TEAM SUBJECT: Second AEO2016 Liquid Fuels Markets Working Group Meeting Summary (presented on 02-24-2016) Attendees: (EIA) John Powell, Mindi Farber-DeAnda, Adrian Geagla, Beth May Jennifer Li (US DOE) Attending

  10. From: Cutting, John To: Congestion Study Comments; Meyer, David

    Energy Savers [EERE]

    Cutting, John To: Congestion Study Comments; Meyer, David Cc: Buechler, John; Duffy, Timothy; Patka, Carl; Regulatory Affairs Subject: NYISO comments re: draft National Electric Transmission Congestion Study Date: Monday, October 20, 2014 12:29:46 PM Attachments: 20141020_NYISO_Comments_DOE_Congestion_Study.pdf Please find attached above the comments of the New York Independent System Operator, Inc. regarding the draft National Electric Transmission Congestion Study. John C. Cutting Regulatory

  11. John P. Holdren and Nancy Sutley | Department of Energy

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

    P. Holdren and Nancy Sutley About Us John P. Holdren and Nancy Sutley Most Recent Green Button Giving Millions of Americans Better Handle on Energy Costs March 22

  12. SUSANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor

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

    MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico...

  13. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY...

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

    Michael Schaal, John Powell, Mindi Farber-DeAnda, Adrian Geagla, Beth May, Mason Hamilton, Hannah Breul, Chris Namovicz, Melissa Lynes Austin Brown (OSTP), Ernest Carter (FAS...

  14. Oil Shale and Oil Sands Development Robert Keiter; John Ruple...

    Office of Scientific and Technical Information (OSTI)

    Conjunctive Surface and Groundwater Management in Utah: Implications for Oil Shale and Oil Sands Development Robert Keiter; John Ruple; Heather Tanana; Rebecca Holt 29 ENERGY...

  15. Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory...

    Office of Legacy Management (LM)

    111989 Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission Region I 475 Allendale Road King of Prussia. Pennsylvania 19406 Dear Mr. Kinneman: -;' .-. 'W ...

  16. MEMORANDUM FOR JOHN M. SATTLER DIRECTOR BROOKHAVEN FEDERAL PROJECT...

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

    l 4 2011 MEMORANDUM FOR JOHN M. SATTLER DIRECTOR BROOKHAVEN FEDERAL PROJECT OFFICE FROM: SUBJECT: Designation of Federal Project Director and Deputy Federal Project Director for...

  17. STATEMENT OF BRIGADIER GENERAL JOHN KEM COMMANDER UNITED STATES...

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

    BRIGADIER GENERAL JOHN KEM COMMANDER UNITED STATES ARMY CORPS OF ENGINEERS NORTHWESTERN DIVISION MEMBER, UNITED STATES ENTITY FOR THE COLUMBIA RIVER TREATY AND STEPHEN OLIVER VICE...

  18. First NERSC Director John Killeen Dies at 87

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

    First NERSC Director John Killeen Dies at 87 First NERSC Director John Killeen Dies at 87 August 24, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510 486 5849 XBD9908-01785.jpg John Killeen, NERSC's founding director, also directed its two predecessors. John Killeen, the founding director of what is now known as the National Energy Research Scientific Computing Center (NERSC), died August 15, 2012 at age 87. Killeen led the Center from 1974 until 1990, when he retired. The Department of Energy conferred

  19. John Papanikolas: Visualizing Charge Carrier Motion in Nanowires...

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

    John Papanikolas: Visualizing Charge Carrier Motion in Nanowires Using Femtosecond Pump-Pr... Visualizing Charge Carrier Motion in Nanowires Using Femtosecond Pump-Probe Microscopy ...

  20. Climate-Carbon Cycle Interactions Dr. John P. Krasting

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

    Modeling of Climate-Carbon Cycle Interactions Dr. John P. Krasting geophysical fluid ... The interactions between Earth's carbon cycle and climate are key to understanding both ...

  1. John Shalf Is Named Chief Technology Officer for NERSC

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

    John Shalf Is Named Chief Technology Officer for NERSC John Shalf Is Named Chief Technology Officer for NERSC December 5, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510 486 5849 XBD200503-00083.jpg John Shalf John Shalf has been named the Chief Technology Officer (CTO) of the National Energy Research Scientific Computing (NERSC) Division at Lawrence Berkeley National Laboratory (Berkeley Lab) by NERSC Director Sudip Dosanjh. Shalf will also continue to serve in his current role as head of the Computer

  2. John Rice Irwin, part 2 | Y-12 National Security Complex

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

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

  3. NNSA Science Advisor John Maenchen Named as IEEE Fellow | National...

    National Nuclear Security Administration (NNSA)

    Science Advisor John Maenchen Named as IEEE Fellow | National Nuclear Security ... Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA Science Advisor ...

  4. Detter, John C. [Los Alamos National Laboratory] Basic Biological

    Office of Scientific and Technical Information (OSTI)

    State of the Art for Autonomous Detection Systems using Genomic Sequencing Detter, John C. Los Alamos National Laboratory Basic Biological Sciences(59) Biological Science...

  5. QER- Comment of Dairyland Power Cooperative- FWD by John Richards

    Broader source: Energy.gov [DOE]

    John, Attached is Dairyland Power Cooperative's written comments for the August 8 QER stakeholder meeting in Chicago. Shall I send one to the email on the DOE website?

  6. Building Green in Greensburg: BTI Greensburg John Deere

    Broader source: Energy.gov [DOE]

    This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing BTI Greensburg John Deere dealership building in Greensburg, Kansas.

  7. St. Johns County, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 2 Climate Zone Subtype A. Places in St. Johns County, Florida Butler Beach, Florida Crescent Beach, Florida Fruit Cove, Florida Hastings, Florida...

  8. St. Johns, Arizona: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Johns, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.5058698, -109.3609327 Show Map Loading map... "minzoom":false,"mappingservic...

  9. 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. File Acquisition-Forecast-2016-05-06.xlsx More Documents & Publications Small Business Program Manager Directory EA-1900: Notice of Availability of a Draft Environmental Assessment Small Business Program Manager Directory

  10. 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.

  11. Employee Spotlight: John T. Murphy | Argonne National Laboratory

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

    Employee Spotlight: John T. Murphy Share Topic Operations Human Resources Programs Mathematics, computing, & computer science Modeling, simulation, & visualization Security Decision science Public health preparedness John T. Murphy, an Argonne computational engineer, describes what he does at Argonne and why. Click to read more at his Employee Spotlight

  12. DOE Tour of Zero: The EXIT-0 House by John Hubert Associates...

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

    EXIT-0 House by John Hubert Associates DOE Tour of Zero: The EXIT-0 House by John Hubert Associates Addthis 1 of 22 John Hubert Associates' modern take on the traditional beach...

  13. John Herrington Sworn in as Secretary of Energy | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    Administration John Herrington Sworn in as Secretary of Energy John Herrington Sworn in as Secretary of Energy Washington, DC John S. Herrington is sworn in as fifth

  14. 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 PDF icon Wind Forecast Improvement Project ...

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

    Office of Scientific and Technical Information (OSTI)

    quantify the forecast uncertainty by reducing prediction intervals of forecasts. ... means, e.g., using weather-based models, and reduce forecast errors prediction intervals. ...

  16. 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

  17. DOE - Office of Legacy Management -- John Van Range Co Div of...

    Office of Legacy Management (LM)

    John Van Range Co Div of Edwards Manufacturing - OH 40 FUSRAP Considered Sites Site: JOHN VAN RANGE CO., DIV. OF EDWARDS MANUFACTURING (OH.40 ) Eliminated from consideration under...

  18. 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. ...

  19. QER- Comment of John Woolsey 2

    Broader source: Energy.gov [DOE]

    Hello Ms. Wayland--- I have three comments regarding the development of energy infrastructure in the United States: 1) NATIVE, NON-RENEWABLE ENERGY RESOURCES SHOULD NOT BE MADE AVAILABLE FOR EXPORT IN LARGE QUANTITIES. Small or limited amounts could be permissible, but not in large, ongoing quantities since we will obviously need it for our own use. We have been given a reprieve in that we have discovered new ways to make the most of what we have; let us not squander it through exports. If other countries wish to sell energy to us, that is their call. 2) NEITHER PUBLIC FUNDS NOR PUBLIC EMINENT DOMAIN POWERS SHOULD BE USED TO CONSTRUCT TRANSMISSION FACILITIES ON BEHALF OF PRIVATE ENERGY COMPANIES WISHING TO EXPORT NON-RENEWABLE ENERGY RESOURCES. 3) NEW ENERGY TRANSMISSION FACILITIES SHOULD BE ROUTED ALONG EXISTING RIGHTS-OF-WAY OR ALONG EXISTING PUBLIC USE CORRIDORS AND NOT THROUGH LESS DEVELOPED, RURAL OR WILDERNESS AREAS. Small and rural communities should not be taken advantage of merely because the real estate is less expensive. Just as the public would not tolerate a transmission corridor through a national park, neither is it beneficial to disfigure small towns and rural landscapes with utility rights-of-way. State parks and large, undivided tracts of conservation land also serve the public interest, and will continue to do so long after the transmitted energy has run out. Sincerely, John M Woolsey

  20. 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

  1. NREL: Resource Assessment and Forecasting Home Page

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

    NREL's resource assessment and forecasting research supports industry, government, and academia by providing renewable energy resource measurements, models, maps, and support services. These resources are used to plan and develop renewable energy technologies and support climate change research. Learn more about NREL's resource assessment and forecasting research: Capabilities Facilities Research staff Data and resources. Resource assessment and forecasting research is primarily performed at

  2. WBJ-12-0001- In the Matter of John Robertson

    Broader source: Energy.gov [DOE]

    On September 12, 2012, an OHA Hearing Officer issued a Protective Order in a case involving a Complaint of Retaliation filed by John Robertson against KQ Services under the DOE’s Contractor...

  3. FIA-14-0021- In the Matter of John Qualls

    Broader source: Energy.gov [DOE]

    John Qualls appealed a FOIA determination that the DOE’s Bonneville Power Administration (BPA) issued to him regarding March 2014 Freedom of Information Act request for audio and video security...

  4. SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor

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

    SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor March 13, 2013 Jose Franco, Manager Carlsbad Field Office Department of Energy P.O. Box 3090 NEW MEXICO ENVIRONMENT...

  5. Jimmy John > Postdoc - California Institute of Technology > Center...

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

    Jimmy John Postdoc - California Institute of Technology jj383@cornell.edu Formerly a member of the Abrua Group, Jimmy received his Ph.D. in 2013. His new role will be as a ...

  6. TBU-0052- In the Matter of John Merwin

    Broader source: Energy.gov [DOE]

    John Merwin (Merwin or the complainant) appeals the dismissal of his May 1, 2006 complaint of retaliation filed under 10 C.F.R. Part 708, the Department of Energy (DOE) Contractor Employee...

  7. VBA-0041- In the Matter of John L. Gretencord

    Broader source: Energy.gov [DOE]

    This Decision considers an Appeal of an Initial Agency Decision (IAD) issued on November 4, 1999, involving a complaint filed by John L. Gretencord (Gretencord or the complainant) under the...

  8. John Marohn > ProfessorChemistry and Chemical Biology > Faculty...

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

    Marohn Professor Chemistry and Chemical Biology Research Group Webpage jam99@cornell.edu John Marohn earned a B.S. in Chemistry and a B.A. in Physics from the University of...

  9. John Rice Irwin, part 1 | Y-12 National Security Complex

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

    Hide Chapters Show Transcript John Rice IrwinPart 1 | Part 2 The Irwin family was moved from Norris in the 1930's to make room for TVA's Norris Dam and then from Robertsville in ...

  10. John William (Bill) Ebert Jr. ? Longtime Y-12 Maintenance Manager

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

    John William (Bill) Ebert Jr. - Longtime Y-12 Maintenance Manager I knew him as "Mr. Ebert" when his office was in Building 9734. I used to park my bicycle in the hallway just...

  11. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY...

    Gasoline and Diesel Fuel Update (EIA)

    Barbara Treat (Hawaii Gas, LNG) Presenters: John Powell ... AEO2016 vs AEO2015 Brent spot price path, Brent-WTI ... about 75,000 bpd trade to Mexico, and the rest to Canada. ...

  12. WBH-12-0002- In the Matter of John Robertson

    Broader source: Energy.gov [DOE]

    On January 8, 2013, a Hearing Officer issued an Initial Agency Decision involving a complaint filed by John Robertson against KQ Services (KQ) under the DOE’s Contractor Employee Protection Program...

  13. Utility-Interconnected Photovoltaic Systems STEVENS III,JOHN...

    Office of Scientific and Technical Information (OSTI)

    STEVENS III,JOHN W.; BONN,RUSSELL H.; GINN,JERRY W.; GONZALEZ,SIGIFREDO; KERN,GREG 14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; INTERCONNECTED POWER SYSTEMS;...

  14. Cabin John, Maryland: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    You can help OpenEI by expanding it. Cabin John is a census-designated place in Montgomery County, Maryland.1 References US Census Bureau 2005 Place to 2006 CBSA...

  15. Mr. John E. Kieling, Chief Hazardous Waste Bureau

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

    Handling Building Reference: DOE Memorandum CBFO:OESH:GB:MN:14-1427;UFC:5487 from Mr. Jose R. Franco and Mr. M. F. Sharif to Mr. John Kieling, dated February 26, 2014, subject:...

  16. Federal Energy and Water Management Award Winners William Kuster, John

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

    McDuffie, Dennis Svalstad, William Turnbull and Steven White | Department of Energy William Kuster, John McDuffie, Dennis Svalstad, William Turnbull and Steven White Federal Energy and Water Management Award Winners William Kuster, John McDuffie, Dennis Svalstad, William Turnbull and Steven White PDF icon fewm13_acclangley_highres.pdf PDF icon fewm13_acclangley.pdf More Documents & Publications October 2009 Seismic Lessons-Learned panel Meeting Implementation of DOE NPH Requirements at

  17. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    2, 2014 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: BUILDINGS CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2015 Buildings Sector Working Group Meeting Summary, presented on 08-07-2014 Attendees: John Agan (DOE EPSA) Jack Mayernik (DOE EERE) David Daniels (EIA OEA) Cara Marcy (EIA OEA) Sam Napolitano (EIA OEA) Alan Swenson

  18. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    3, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER, ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR, OFFICE OF ENERGY CONSUMPTION & EFFICIENCY ANALYSIS FROM: BUILDINGS CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2016 Buildings Sector Working Group Meeting Summary, presented on 12-08-2015 Attendees: Lori Aniti (EIA OEA) John Conti (EIA OEA) Fred Mayes (EIA OEA) Kelly Perl (EIA OEA) David Daniels (EIA OEA) Bill McNary (EIA

  19. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    07, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS ANGELINA LAROSE TEAM LEADER NATURAL GAS MARKETS TEAM JOHN STAUB TEAM LEADER EXPLORATION AND PRODUCTION TEAM FROM: EXPLORATION AND PRODUCTION and NATURAL GAS MARKETS TEAMS SUBJECT: First AEO2013 Oil and Gas Working Group Meeting Summary (presented on 07-31-2012) Attendees: Anas Alhajji (NGPTRS) via WEBEX Sara Banaszak (ExxonMobil) via WEBEX Stephen Beck (PFC Energy) via WEBEX Sandeep Bhakhri (EOG Resources) via WEBEX

  20. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    4, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: TRANSPORTATION CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2013 Transportation Working Group Meeting Summary (presented on 08-14-2012) Attendees: Aaron Bergman (DOE/PI) Jeff Cole (EPA/OTAQ) John Conti (EIA/OEA) Walter Gazda (DOT/VOLPE) Dave Gelman (New West Technologies)

  1. John Papanikolas: Visualizing Charge Carrier Motion in Nanowires Using

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

    Femtosecond Pump-Probe Microscopy | Center for Energy Efficient Materials John Papanikolas: Visualizing Charge Carrier Motion in Nanowires Using Femtosecond Pump-Probe Microscopy Apr 17, 2014 | 4:00 PM - 5:00 PM John Papanikolas Professor of Chemistry & Deputy Director, EFRC on Solar Fuels University of North Carolina, Chapel Hill Visualizing Charge Carrier Motion in Nanowires Using Femtosecond Pump-Probe Microscopy April 17, 2014 | 4:00pm | ESB 1001 Faculty host: Dan Morse

  2. Summer 2010 Intern Project- John Haberstroh | Center for Energy Efficient

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

    Materials John Haberstroh THERMOELECTRIC PROPERTIES OF GaN AND InGaN BASED MATERIALS John Haberstroh CCS Physics UC Santa Barbara Mentor: Alex Sztein Faculty Advisor: Shuji Nakamura Department: Materials Science Recent advances in Metal Organic Chemical Vapor Deposition have made GaN and it's alloys a leading family of semiconductor materials. Despite this increased interest, however, the thermoelectric properties of this material system remain mostly unexplored, although a few basic studies

  3. Procurement IT Tools - John Makepeace, Systems Division, OAPM | Department

    Energy Savers [EERE]

    of Energy Procurement IT Tools - John Makepeace, Systems Division, OAPM Procurement IT Tools - John Makepeace, Systems Division, OAPM Topics Discussed: Procurement Systems at the Department of Energy Improving Systems & Processes M&O Subcontract Reporting Capability (MOSRC) Enhancing Reporting Capabilities Promoting Data Quality More... PDF icon Workshop 2015 - Makepeace_Procurement IT Tools.pdf More Documents & Publications Acquisition Letters No. AL 2015-08 POLICY FLASH 2015-35

  4. DOE - Office of Legacy Management -- Johns Hopkins University - MD 02

    Office of Legacy Management (LM)

    Johns Hopkins University - MD 02 FUSRAP Considered Sites Site: JOHNS HOPKINS UNIVERSITY (MD.02 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Baltimore , Maryland MD.02-1 Evaluation Year: 1987 MD.02-2 Site Operations: Conducted spectroscopic studies under contract number AT(49-1)-309. MD.02-1 Site Disposition: Eliminated - Potential for contamination considered remote based on limited quantities of material used in a controlled

  5. John C. Layton: Before The Subcommittee on Oversight and Investigations U.S. House of Representatives

    Broader source: Energy.gov [DOE]

    Statement of John C. Layton, Inspector General Department of Energy Subject: Performance-based Contracts

  6. 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

  7. Solar Forecast Improvement Project | Department of Energy

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

    NOAA also will provide advanced satellite products. INNOVATIONS NOAA is providing numerical weather prediction (NWP) modeling with new information that will help solar forecasts. ...

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

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

    Management Tools and Best Practices Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices Development ...

  9. 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...

  10. 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...

  11. John W DeLooper | Princeton Plasma Physics Lab

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

    John W DeLooper Head of Best Practices and Outreach John DeLooper has more than 40 years of experience in quality, environment, safety, health, security and emer- gency preparedness management. He is the Head of Best Practices and Outreach at PPPL. As part of his responsibilities he regularly talks to students and visitors to the Laboratory regarding fusion energy and plasma science. Prior to his employment at Princeton, he was employed by Burns and Roe, an architect/engineer for large power

  12. L2:VRI.P2.02 John Turner ORNL

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

    ... Brad Rearden Rod Schmidt John Turner John Wagner CASL-U-2011-0017-000-b ...

  13. 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 ...

  14. 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 ...

  15. The Wind Forecast Improvement Project (WFIP): A Public/Private...

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

    Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits ... Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits ...

  16. Modeling and forecasting the distribution of Vibrio vulnificus...

    Office of Scientific and Technical Information (OSTI)

    Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay Citation Details In-Document Search Title: Modeling and forecasting the distribution of Vibrio ...

  17. Improving the Accuracy of Solar Forecasting Funding Opportunity...

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

    Improving the Accuracy of Solar Forecasting Funding Opportunity Improving the Accuracy of Solar Forecasting Funding Opportunity Through the Improving the Accuracy of Solar ...

  18. John H. Lawrence, 1983 | U.S. DOE Office of Science (SC)

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

    John H. Hale III About Us John H. Hale III - Director, Office of Small and Disadvantaged Business Utilization John H. Hale III Career Highlights Hale is the former Deputy Associate Administrator for the Office of Capital Access at the U.S. Small Business Administration (SBA). In that role, he managed the agency's operations and initiatives designed to enhance customer service for its internal and external stakeholders. John Hale III is the Director of the Office of Small and Disadvantaged

  19. John Shalf Gives Talk at San Francisco High Performance Computing Meetup

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

    John Shalf Gives Talk at San Francisco High Performance Computing Meetup John Shalf Gives Talk at San Francisco High Performance Computing Meetup September 17, 2014 XBD200503 00083 John Shalf In his role as NERSC's chief technology officer, John Shalf gave a talk on "Converging Interconnect Requirements for HPC and Warehouse Scale Computing at San Francisco High Performance Computing Meetup. The Sept 17 meeting was held at GeekdomSF in downtown San Francisco. The group, which describes

  20. John Day Watershed Restoration Projects, annual report 2003.

    SciTech Connect (OSTI)

    Brown, Linda

    2004-01-01

    The John Day is the nation's second longest free-flowing river in the contiguous United States and the longest containing entirely unsupplemented runs of anadromous fish. Located in eastern Oregon, the basin drains over 8,000 square miles, Oregon's fourth largest drainage basin, and incorporates portions of eleven counties. Originating in the Strawberry Mountains near Prairie City, the John Day River flows 284 miles in a northwesterly direction, entering the Columbia River approximately four miles upstream of the John Day dam. With wild runs of spring Chinook salmon and summer steelhead, westslope cutthroat, and redband and bull trout, the John Day system is truly a basin with national significance. The majority of the John Day basin was ceded to the Federal government in 1855 by the Confederated Tribes of the Warm Springs Reservation of Oregon (Tribes). In 1997, the Tribes established an office in the basin to coordinate restoration projects, monitoring, planning and other watershed activities on private and public lands. Once established, the John Day Basin Office (JDBO) formed a partnership with the Grant Soil and Water Conservation District (GSWCD), which contracts the majority of the construction implementation activities for these projects from the JDBO. The GSWCD completes the landowner contact, preliminary planning, engineering design, permitting, construction contracting, and construction implementation phases of most projects. The JDBO completes the planning, grant solicitation/defense, environmental compliance, administrative contracting, monitoring, and reporting portion of the program. Most phases of project planning, implementation, and monitoring are coordinated with the private landowners and basin agencies, such as the Oregon Department of Fish and Wildlife and Oregon Water Resources Department. In 2003, the JDBO and GSWCD proposed continuation of their successful partnership between the two agencies and basin landowners to implement an additional twelve (12) watershed conservation projects. The types of projects include off channel water developments, juniper control, permanent diversions, pump stations, and return-flow cooling systems. Due to funding issues and delays, permitting delays, fire closures and landowner contracting problems, 2 projects were canceled and 7 projects were rescheduled to the 2004 construction season. Project costs in 2003 totaled $115,554.00 with a total amount of $64,981.00 (56%) provided by the Bonneville Power Administration (BPA) and the remainder coming from other sources such as the Bureau of Reclamation (BOR), Oregon Watershed Enhancement Board, the U.S. Fish & Wildlife Service Partners in Wildlife Program and individual landowners.

  1. 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.

  2. Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at

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

    72 | Princeton Plasma Physics Lab Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at 72 By John Greenwald February 15, 2013 Tweet Widget Google Plus One Share on Facebook John Schmidt, 1940-2013 (Photo by Elle Starkman) John Schmidt, 1940-2013 Physicist John Schmidt, whose profound and wide-ranging contributions to the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) made him a highly respected leader in the worldwide quest for fusion energy,

  3. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    July 24, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: BUILDINGS CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2013 Buildings Sector Working Group Meeting Summary (presented on 07-23-2012) Attendees: Aaron Bergman (DOE PI) James Berry (EIA OES) David Daniels (EIA OEA) Danielle Mayclin (EIA OES) Bill McNary (EIA OES)

  4. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY

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

    31, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JAMES TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: BUILDINGS CONSUMPTION & EFFICIENCY ANALYSIS TEAM SUBJECT: Second AEO2013 Buildings Sector Working Group Meeting Summary (presented on 10-04-2012) Attendees: Erin Boyd (DOE PI) James Berry (EIA OES) Katie Lewis (EIA OES) Danielle Mayclin (EIA OES) Fred Mayes (EIA OEA) Bill McNary

  5. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

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

    March 11, 2016 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: TRANSPORTATION CONSUMPTION AND EFFICIENCY ANALYSIS TEAM SUBJECT: Second AEO2016 Transportation Working Group Meeting Summary (presented on 03-09-2016) Attendees: Mindi Farber-DeAnda (EIA) David Stone (EIA) Alicia Birky (Energetics) Austin Brown (NREL) David Gohlk (DOE) Marc Goodman

  6. MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS

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

    1, 2015 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION AND EFFICIENCY ANALYSIS FROM: TRANSPORTATION CONSUMPTION AND EFFICIENCY ANALYSIS TEAM SUBJECT: First AEO2016 Transportation Working Group Meeting Summary (presented on 12-15-2015) Attendees: David Daniels (EIA) Alicia Birky (Energetics) Elke Hodson (DOE) Ken Katz (DOT) Marc Goodman (New West Technologies) Michael

  7. MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis

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

    2, 2012 MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis Alan Beamon Office Director Office of Electricity, Coal, Nuclear, and Renewables Analysis FROM: Coal and Uranium Analysis Team SUBJECT: AEO2013 Coal Working Group Meeting I Summary Attendees: *Peter Balash (NETL) *Leslie Coleman (National Mining Association) Jared Daniels (DOE: Fossil Energy) *Salem Esber (PA Consulting) * Erich Eschmann (EPA) Karen Freedman (EIA) *Paul Georgia (National Mining Association) *Eric Grol

  8. MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis

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

    Ocober 4, 2012 MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis Alan Beamon Office Director Office of Electricity, Coal, Nuclear, and Renewables Analysis FROM: Coal and Uranium Analysis Team SUBJECT: AEO2013 Coal Working Group Meeting II Summary Attendees: *Leslie Coleman (National Mining Association) Jim Diefienderfer (EIA) Bob Eynon (EIA) Eric Eschmann (EPA) Karen Freedman (EIA) *Paul Georgia (National Mining Association) *Eric Grol (NETL) Tyler Hodge (EIA) Elias Johnson

  9. MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis

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

    16, 2012 MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis Alan Beamon Office Director Office of Electricity, Coal, Nuclear, and Renewables Analysis FROM: Electricity Analysis Team SUBJECT: August 9, 2012 AEO2013 Electricity Working Group Meeting Summary Attendees: Michelle Adams (EIA OEA) *Aaron Bergman (DOE: Office of Policy and International Affairs) *Thomas Cochran (NRDC) *Jarad Daniels (DOE: Office of Fossil Energy) Jim Diefenderfer (EIA OEA) * Ronald Hagen (DOE: Office

  10. MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis

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

    4, 2012 MEMORANDUM FOR: John Conti Assistant Administrator for Energy Analysis Alan Beamon Office Director Office of Electricity, Coal, Nuclear, and Renewables Analysis Paul Holtberg Team Leader Analysis Integration Team FROM: Electricity Analysis Team SUBJECT: Summary of the 2 nd AEO2013 Electricity Working Group Meeting, held on October 11, 2012 ATTENDEES: Michelle Adams (EIA OEA) Alan Beamon (EIA OEA) *Aaron Bergman (DOE: PI) Bill Booth (EIA OES) *Erin Boyd (DOE: PI) Gwen Bredehoeft (EIA OEA)

  11. MEMORANDUM TO: John Conti Assistant Administrator for Energy Analysis

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

    June 18, 2015 MEMORANDUM TO: John Conti Assistant Administrator for Energy Analysis Jim Diefenderfer Director, Office of Electricity, Coal, Nuclear, and Renewables Analysis FROM: Coal and Uranium Analysis Team SUBJECT: Notes from the Future Operating and Maintenance Considerations for the Existing Fleet of Coal-fired Power Plants workshop held on June 16, 2015 Attendees (43) Name Affiliation Adams, Greg US DOE: EIA Broedin, Joerg Alstom Sutton, Jim Alstom Usher, Matt American Electric Power

  12. MEMORANDUM TO: John Conti Assistant Administrator for Energy Analysis

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

    7, 2013 MEMORANDUM TO: John Conti Assistant Administrator for Energy Analysis Alan Beamon Director, Office of Electricity, Coal, Nuclear, and Renewables Analysis FROM: Coal and Uranium Analysis Team SUBJECT: AEO2014 Coal Working Group Meeting II Summary Attendees (31) Name Affiliation Greg Adams (Moderator) US DOE: EIA Vlad Dorjets Bob Eynon Elias Johnson (W) Ayaka Jones Diane Kearney Jim Diefenderfer Mike Mellish Carrie Milton Sikander Khan US DOE: FE/HQ Ehsan Khan US DOE: FE/HQ Jose Benitez US

  13. Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission

    Office of Legacy Management (LM)

    111989 Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission Region I 475 Allendale Road King of Prussia. Pennsylvania 19406 Dear Mr. Kinneman: -;' .-. 'W Enclosed are the copfes of the final ORNL survey reports on the radiologlcal Surveys conducted on three Teterboro, New Jersey properties; Metpath Incorporated, Allied Aerospace Corporatio; and Sumftomo Machinery Corporation. Copies of these reports have &en sent directly to the owners by our survey contractor Oak

  14. 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.

  15. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  16. 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.

  17. 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...

  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. 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...

  20. NREL: Resource Assessment and Forecasting - Research Staff

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

    Research Staff NREL's resource assessment and forecasting research staff provides expertise in renewable energy measurement and instrumentation through NREL's Power Systems Engineering Center. Photo not available Linda Crow - Administrative Associate B.S. Environmental Studies, The Evergreen State College Linda currently works for the Resource Assessment and Forecasting group as their administrative support. She has worked with scientists at the Office of Science at the Air Force Academy and at

  1. 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.

  2. John C. Layton: Before the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives

    Broader source: Energy.gov [DOE]

    Statement of John C. Layton, Inspector General Department of Energy Subject: DOE management of its laboratories

  3. 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.

  4. 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.

  5. The Honorable John T. 'Gregorio 301 N. Wood Avenue

    Office of Legacy Management (LM)

    Eiergy ; Washington, DC 20585 -, (, > - .' c ' . FEB 1 7 1995 _ .; , _-, The Honorable John T. 'Gregorio 301 N. Wood Avenue Linden, 'New Jersey 07036 d. \ Dear Mayor Gregorio: ,' ,' .' , Secretary of Energy Hazel O'Leary has announced a new approach to openness, in the'llepartment' of Energy (DDE) and its co,annunications with the .public.', In sup~port of this initiative, we are.pleased to forward.the,enclosed information reiated to the.former Linden Pilot Plant of the Chemical' Construction

  6. SUSANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor

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

    MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505*6303 Phone (505) 476-6000 Fax (505) 476-6030 www.nmenv.state.nm.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED* September 23,2013 Jose R. Franco, Manager M. Farok Sharif, Project Manager Carlsbad Field Office Nuclear Waste Partnership LLC Department of Energy P. O. Box 2078 P. O. Box 3090 Carlsbad, New Mexico 88221-5608

  7. SUSANA MARTiNEZ Governor JOHN A. SANCHEZ Lieutenant Governor

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

    MARTiNEZ Governor JOHN A. SANCHEZ Lieutenant Governor November 9, 2011 NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Phone (505) 476-6000 Fax (505) 476-6030 www.nmenv.state.nm.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED Farok Sharif DAVE MARTIN Secretary BUTCH TONGATE Deputy Secretary Edward Ziemianski, Acting Manager Carlsbad Field Office Department of Energy Washington TRU Solutions LLC P. O. Box 2078 P. O. Box

  8. Mr. John E. Kieling, Chief Hazardous Was te Bureau

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

    John E. Kieling, Chief Hazardous Was te Bureau Depa rtment of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad , New Mexico 88221 NOV 0 5 2013 New Mexico Environment Department 2905 Rodeo Park Drive East. Building 1 Santa Fe, New Mexico 87505-6303 Subject: Panel 6 Closure and Final Waste Emplacement Notifications Dear Mr. Kieling : The purpose of this leiter is 1 0 notify th e New Mexico Environment Department (NMEO) that the Permittees intend to commence closure of Hazardous Waste Disposa

  9. Mr. John E. Kieling, Chief Hazardous Waste Bureau

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

    MAR 1 4 2014 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 Subject: Notification of the Use of Surge Storage in the Waste Handling Building Reference: DOE Memorandum CBFO:OESH:GB:MN:14-1427;UFC:5487 from Mr. Jose R. Franco and Mr. M. F. Sharif to Mr. John Kieling, dated February 26, 2014, subject: Request for an Extension to the Storage Times for the Parking Area Unit and Waste Handling Building Dear Mr. Kieling: The purpose of this letter is to

  10. Mr. John Kieling, Acting Chief Hazardous Waste Bureau

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

    P. O. Box 3090 Carlsbad, New Mexico 88221 JUN 2 6 2012 New Mexico Environment Department 2905 E. Rodeo Park Dr. Bldg. 1 Santa Fe, New Mexico 87505-6303 Subject: Annual Proposed Acceptable Knowledge Sufficiency Determination List Reference: DOE Memorandum CBFO:OESH:GTB:ANC:11 :0781 :UFC 5822.00 from E.J. Ziemianski and M.F. Sharif to Mr. John Kieling, dated June 22,2011, Subject: Annual Proposed Acceptable Knowledge Sufficiency Determination List Dear Mr. Kieling: Pursuant to Permit Attachment C,

  11. From: John D. Bixenman To: Congestion Study Comments Subject:

    Energy Savers [EERE]

    John D. Bixenman To: Congestion Study Comments Subject: Transmission Corridors Date: Tuesday, October 07, 2014 11:08:06 AM I am greatly opposed to transmission corridors for several reasons. First in most cases in Missouri we will have no benefit from them as we are not getting anything off of these lines or lacking in electricity as we have an adequate supply. Second most of these lines are for wind generated electricity which is very inefficient and would not even be considered if not for

  12. SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor

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

    SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor March 13, 2013 Jose Franco, Manager Carlsbad Field Office Department of Energy P.O. Box 3090 NEW MEXICO ENVIRONMENT DEPARTMENT Resource Protection Division Harold Runnels Building 1190 Saint Francis Drive (87505) P.O. Box 5469, Santa Fe, NM 87502-5469 Phone (505) 827-0419 Fax (505) 827-0310 www.nrnenv.state.l1m.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED M. Farok Sharif, Project Manager Nuclear Waste Partnership LLC P.O. Box 2078

  13. FRm : John A. Deny, DitiSion Of

    Office of Legacy Management (LM)

    to : lieads of Divisions am3 Man DAW.: December 6, 1954 FRm : John A. Deny, DitiSion Of SPNBOL : csm-R:AcB The attached tabulation of active AEC contracts over $l,ooO,Mx) haa been ,xepared as a result of recurring requests fcr infmmatirm cm ow larger contracts. It consists ox- Pa-t I - E+ime contracts and Pert II - Sub- ccdxacts, and lists the contracts alphabetically bq Operations Office to shar; (1) tne of work being prformed by the contractcr; (2) contract rmter; (3).ac&ated dollar

  14. John D. Boice, Jr., 1994 | U.S. DOE Office of Science (SC)

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

    John Coggin About Us John Coggin - Communications Specialist, Weatherization and Intergovernmental Programs Profile - J Coggin.jpg.jpeg John Coggin was born in Annapolis, Maryland. He gained a profound appreciation for natural resources during his childhood on the Chesapeake Bay. He earned a bachelor's degree from Yale University and a master's degree in public policy from University of Maryland. He writes books and articles on politics, environmental policy, and art. Most Recent Energy

  15. TODAY: Secretary Chu and Former Senator John Warner to Host Conference Call

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

    on Lighting Efficiency Standards | Department of Energy Former Senator John Warner to Host Conference Call on Lighting Efficiency Standards TODAY: Secretary Chu and Former Senator John Warner to Host Conference Call on Lighting Efficiency Standards July 8, 2011 - 12:00am Addthis Washington, D.C. - Today, U.S. Energy Secretary Steven Chu will join former Virginia Senator John Warner on a conference call to discuss the commonsense, bipartisan energy saving standards for residential lighting

  16. SimwYpes(tm) and RonJohn Blend | Y-12 National Security Complex

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

    SimwYpes(tm) and RonJohn ... SimwYpes(tm) and RonJohn Blend The mp4 video format is not supported by this browser. Download video Captions: On Time: 2:20 min. Created to remove residual amounts of beryllium oxide and beryllium particulate from solid surfaces without leaving a residue, SimwYpes are ideal for multiple uses. Quick, gentle, but effective. The inventors of RonJohn solvent talk about its invention and uses

  17. Building America Whole-House Solutions for New Homes: John Wesley Miller,

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

    Tucson, Arizona | Department of Energy John Wesley Miller, Tucson, Arizona Building America Whole-House Solutions for New Homes: John Wesley Miller, Tucson, Arizona Case study of John Wesley Miller Companies, who worked with the NAHBRC to build two net-zero energy homes with foam-sheathed masonry walls, low-E windows 2.9 ACH50 air sealing, transfer grilles, ducts in insulated attic, PV, and solar water heating. PDF icon John Wesley Miller Companies: Armory Park Del Sol - Tucson, AZ More

  18. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- John Walter

    Broader source: Energy.gov [DOE]

    Commenter: John Walter 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  19. John Hale III Awarded Minority Federal Government Public Servant of the

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

    Year Award 2014 | Department of Energy John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 December 4, 2014 - 10:32am Addthis John Hale III Awarded Minority Federal Government Public Servant of the Year Award 2014 At a ceremony in Washington D.C. on November 21, the Minority Chamber of Commerce (MCC) awarded John Hale III, Director of the U.S. Department of Energy's

  20. Steven John Zinkle, 2006 | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Steven John Zinkle, 2006 Print Text Size: A A A FeedbackShare Page Nuclear Technologies (Fission and Fusion): For significant contributions to the scientific basis for ...

  1. Existing Homes Retrofit Case Study: John Wesley Miller Companies, Tucson, AZ

    SciTech Connect (OSTI)

    2009-09-01

    This is a Building America fact sheet describing John Wesley Miller Companies energy efficiency retrofit project on a 47-year-old adobe house in Tucson, Arizona.

  2. Microsoft PowerPoint - 8_JIM_CRABTREE_JOHN_BALLARD_UPDATED_NMMSSTraini...

    National Nuclear Security Administration (NNSA)

    Courses and Resources John Ballard, LinkNMMSS Jim Crabtree, NNSANA-73 Training Resources NMMSS Courses - Main Focus of Talk NMMSS Users Meetings - Presentations,...

  3. John. F. O'Leary Appointed to Lead Federal Energy Administration...

    National Nuclear Security Administration (NNSA)

    John. F. O'Leary Appointed to Lead Federal Energy Administration | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the...

  4. Melanie Palmer, Rob Sullivan, John Bilberry LA-UR-13-25961 Overview

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

    Palmer, Rob Sullivan, John Bilberry LA-UR-13-25961 Overview Introduction Test Method and Materials Results Conclusion Future Work Questions...

  5. 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 ...

  6. 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...

  7. 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...

  8. 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

  9. 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.

  10. 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.

  11. 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)

  12. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

    Wavelet-ARIMA (Conference) | SciTech Connect Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA Citation Details In-Document Search Title: Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of

  13. 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.

  14. 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.

  15. Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Frances Beinecke, Rafael Bras, Albert Carnesale, John

    Energy Savers [EERE]

    U.S. Department of Energy (DOE) Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Frances Beinecke, Rafael Bras, Albert Carnesale, John Deutch, Shirley Ann Jackson, Paul Joskow, Steve Koonin, Arun Majumdar, Michael McQuade, Richard Meserve, Dan Reicher, Dan Yergin Date and Time: 2:00 - 2:45 PM, August 18, 2014 Location: Conference Call Purpose: Meeting of the Secretary of Energy Advisory Board (SEAB) SEAB Staff: Karen Gibson, Designated Federal Officer

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

    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 Preprint Jie Zhang 1 , Bri-Mathias Hodge 1 , Siyuan Lu 2 , Hendrik F. Hamann 2 , Brad Lehman 3 , Joseph Simmons 4 , Edwin Campos 5 , and Venkat Banunarayanan 6 1 National Renewable Energy Laboratory 2 IBM TJ Watson Research Center 3 Northeastern University 4 University of Arizona 5 Argonne National Laboratory 6 U.S. Department of Energy Presented at the IEEE Power and Energy Society General Meeting Denver,

  17. 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.

  18. 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.

  19. John Day Fish Passage and Screening; 2003 Annual Report.

    SciTech Connect (OSTI)

    Allen, Steve

    2004-02-01

    The primary goal of the Oregon Screens Project was to implement 20 replacement screens projects in the John Day sub-basin and any projects identified in the Umatilla and Walla Walla sub-basins. A secondary goal is to complete a passage project, if one is identified, in any of the above sub-basins. Mid-Columbia ESU listed steelhead and USF&W listed bull trout inhabit these sub-basins and are present at most locations, along with a variety of resident fish species. We also provide assistance to our Enterprise Screen Shop, in the Grande Ronde/Imnaha sub-basins, if needed. All projects were designed and implemented under current National Marine Fisheries Service screening and passage criteria.

  20. 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.

  1. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [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.

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. Bead-based microfluidic immunoassay for diagnosis of Johne's disease

    SciTech Connect (OSTI)

    Wadhwa, Ashutosh [University of Tennessee, Center for Wildlife Health, Department of Forestry; Foote, Robert [ORNL; Shaw, Robert W [ORNL; Eda, Shigetoshi [ORNL

    2012-01-01

    Microfluidics technology offers a platform for development of point-of-care diagnostic devices for various infectious diseases. In this study, we examined whether serodiagnosis of Johne s disease (JD) can be conducted in a bead-based microfluidic assay system. Magnetic micro-beads were coated with antigens of the causative agent of JD, Mycobacterium avium subsp. paratuberculosis. The antigen-coated beads were incubated with serum samples of JD-positive or negative serum samples and then with a fluorescently-labeled secondary antibody (SAB). To confirm binding of serum antibodies to the antigen, the beads were subjected to flow cytometric analysis. Different conditions (dilutions of serum and SAB, types of SAB, and types of magnetic beads) were optimized for a great degree of differentiation between the JD-negative and JD-positive samples. Using the optimized conditions, we tested a well-classified set of 155 serum samples from JD negative and JD-positive cattle by using the bead-based flow cytometric assay. Of 105 JD-positive samples, 63 samples (60%) showed higher antibody binding levels than a cut-off value determined by using antibody binding levels of JD-negative samples. In contrast, only 43-49 JD-positive samples showed higher antibody binding levels than the cut-off value when the samples were tested by commercially-available immunoassays. Microfluidic assays were performed by magnetically immobilizing a number of beads within a microchannel of a glass microchip and detecting antibody on the collected beads by laser-induced fluorescence. Antigen-coated magnetic beads treated with bovine serum sample and fluorescently-labeled SAB were loaded into a microchannel to measure the fluorescence (reflecting level of antibody binding) on the beads in the microfluidic system. When the results of five bovine serum samples obtained with the system were compared to those obtained with the flow cytometer, a high level of correlation (linear regression, r2 = 0.994) was observed. In a further experiment, we magnetically immobilized antigen-coated beads in a microchannel, reacted the beads with serum and SAB in the channel, and detected antibody binding to the beads in the microfluidic system. A strong antibody binding in JD-positive serum was detected, whereas there was only negligible binding in negative control experiments. Our data suggest that the bead-based microfluidic system may form a basis for development of an on-site serodiagnosis of JD. Key Words: Mycobacterium avium ssp. paratuberculosis, Johne s disease, microfluidics, lab-on-a-chip.

  7. John L. Emmett, 1977 | U.S. DOE Office of Science (SC)

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

    J. MacWilliams About Us John J. MacWilliams - Associate Deputy Secretary John J. MacWilliams John J. MacWilliams was appointed in August 2015 as Associate Deputy Secretary of the U.S. Department of Energy. He also serves as the Department's Chief Risk Officer and advances Secretarial priorities of enterprise-wide approaches to innovative finance, risk management, project management, nuclear and cyber security. Mr. MacWilliams joined the Department in May 2013 as a Senior Advisor to the

  8. DOE Zero Energy Ready Home Case Study: John Hubert Associates, North Cape

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

    May, NJ | Department of Energy John Hubert Associates, North Cape May, NJ DOE Zero Energy Ready Home Case Study: John Hubert Associates, North Cape May, NJ DOE Zero Energy Ready Home Case Study: John Hubert Associates, North Cape May, NJ Case study of a DOE Zero Energy Ready home in North Cape May, NJ, that scored a HERS 46 without PV or HERS 9 with 6.5 kW of PV. The two-story, 1,871-ft2 home has advanced-framed above-grade walls with R-21 fiberglass batt plus an R-3.6-insulated coated OSB

  9. Optimization of Hydroacoustic Deployments at John Day Dam

    SciTech Connect (OSTI)

    Ploskey, Gene R.; Cook, Christopher B.; Titzler, P. Scott; Moursund, Russell A.

    2002-11-12

    This report describes short-term studies conducted in late November and early December 2001 to optimize hydroacoustic sampling techniques for John Day Dam before the 2002 fish passage efficiency (FPE) study. Knowledge gained in this study should significantly improve hydroacoustic sampling and the accuracy of estimates of fish passage at two locations that have presented problems in past studies. The spillway has been most problematic because many fish detected there were not entrained. Without correction, non-commitment of fish can result in multiple detections and overestimation of fish passage and FPE. Trash-rack-mounted, down-looking transducers for sampling unguided fish at a submerged traveling screen (STS) also have posed problems because the beam was aimed so far downstream that researchers had concerns about fish aspect and detectability. The deployments, aiming angles, and ping rates described here should eliminate all problems encountered in previous studies. This report describes hydroacoustic evaluations. The spill-bay deployment identified in this study should completely eliminate multiple detections of fish by limiting the sample volume for counting fish to the deep high-discharge volume adjacent to the gate. Results from testing of transducers deployed in a turbine intake with an STS suggest that, after testing in 2002, it may be possible to cut the number of powerhouse transducers sampling STS units by 50% or to double the spatial sampling coverage with the same number of transducers, all while improving detectability.

  10. The John Deere E diesel Test & Research Project

    SciTech Connect (OSTI)

    Fields, Nathan; Mitchell, William E.

    2008-09-23

    Three non-road Tier II emissions compliant diesel engines manufactured by John Deere were placed on a durability test plan of 2000 hours each at full load, rated speed (FLRS). The fuel was a blend of 10% fuel ethanol and 90% low sulfur #2 diesel fuel. Seven operational failures involving twenty seven fuel system components occurred prior to completion of the intended test plan. Regulated emissions measured prior to component failure indicated compliance to Tier II certification goals for the observed test experience. The program plan included operating three non-road Tier II diesel engines for 2000 hours each monitoring the regulated emissions at 500 hour intervals for changes/deterioration. The program was stopped prematurely due to number and frequency of injection system failures. The failures and weaknesses observed involved injector seat and valve wear, control solenoid material incompatibility, injector valve deposits and injector high pressure seal cavitation erosion. Future work should target an E diesel fuel standard that emphasizes minimum water content, stability, lubricity, cetane neutrality and oxidation resistance. Standards for fuel ethanol need to require water content no greater than the base diesel fuel standard. Lubricity bench test standards may need new development for E diesel.

  11. John Day Fish Passage and Screening; 2002 Annual Report.

    SciTech Connect (OSTI)

    Hartlerode, Ray; Dabashinsky, Annette; Allen, Steve

    2003-01-28

    This project is necessary to insure that replacement of fish screening devices and fishways meet current NMFS design criteria for the protection of all salmonid life stages. The mission of the fish passage program in Northeast Oregon is to protect and enhance fish populations by assisting private landowners, public landowners, irrigation districts and others by maintaining fish screening devices and fishways. These facilities reduce or eliminate fish loss associated with irrigation withdrawals, and as a result insure fish populations are maintained for enjoyment by present and future generations. Assistance is provided through state and federal programs. This can range from basic technical advice to detailed construction, fabrication and maintenance of screening and passage facilities. John Day screens personnel identified 50 sites for fish screen replacement, and one fish passage project. These sites are located in critical spawning, rearing and migration areas for spring chinook, summer steelhead and bull trout. All projects were designed and implemented to meet current NMFS criteria. It is necessary to have a large number of sites identified due to changes in weather, landowner cooperation and access issues that come up as we try and implement our goal of 21 completed projects.

  12. 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.

  13. Monitoring Fine Sediment; Grande Ronde and John Day Rivers, 1999 Annual Report.

    SciTech Connect (OSTI)

    Rhodes, Jonathan J.; Greene, M. Jonas; Purser, Michael D.

    2000-01-01

    This project was initiated to monitor surface fine sediment levels and overwinter intrusion of fine sediment in spring chinook salmon spawning habitat in the North Folk John Day and Grande Ronde Rivers, for five years.

  14. L3:VRI.PSS.P6.02 John Turner ORNL

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

    P6.02 John Turner ORNL Completed: 12212012 CASL-U-2013-0003-000 Suggestions for COBRA-TF Parallelization and Optimization Robert K. Salko (570) 972-0988 rks171@psu.edu Maria ...

  15. John C. Layton: Before The Subcommittee on Oversight and Investigations Committee on Commerce

    Broader source: Energy.gov [DOE]

    Statement of John C. Layton, Inspector General U. S. Department of Energy Subject: Concerns regarding travel by the Secretary of Energy and issues relating to the Department’s Ombudsperson

  16. TODAY: Secretary Chu and Former Senator John Warner to Host Conference...

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

    Former Virginia Senator John Warner WHAT: Press Conference Call WHEN: Friday, July 8, 2011 at 12:45 PM EDT RSVP: Please contact Niketa Kumar at niketa.kumar@hq.doe.gov to receive ...

  17. QER- Comment of American Natural Gas Association- FWD by John Richards

    Broader source: Energy.gov [DOE]

    John - We thought the attached might be helpful in framing things. We will of course consider submitting formal comments following the event and review of the transcript but thought the attached information might be helpful in the interim.

  18. 1,"John E Amos","Coal","Appalachian Power Co",2900 2,"FirstEnergy...

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

    West Virginia" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"John E Amos","Coal","Appalachian Power Co",2900 2,"FirstEnergy Harrison Power ...

  19. Rebuilding It Better; BTI-Greensburg, John Deere Dealership (Brochure) (Revised)

    Broader source: Energy.gov [DOE]

    This case study highlights the energy-saving features of the BTI-Greensburg John Deere Dealership. This metal building is expected to save close to 50% in annual energy cost.

  20. Johns v. Stevens, 3 Vt. 308, 315-16 (1830) | Open Energy Information

    Open Energy Info (EERE)

    v. Stevens, 3 Vt. 308, 315-16 (1830) Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal CaseHearing: Johns v. Stevens, 3 Vt. 308, 315-16 (1830)Legal Abstract...

  1. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

    Complex Terrain | Department of Energy for 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

  2. DOE Benefits Forecasts: Report of the External Peer Review Panel |

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

    Department of Energy Benefits Forecasts: Report of the External Peer Review Panel DOE Benefits Forecasts: Report of the External Peer Review Panel A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts. PDF icon Report of the External Peer Review Panel More Documents & Publications Industrial Technologies Funding Profile by Subprogram Survey of Emissions Models for Distributed Combined Heat and Power

  3. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical

    Office of Scientific and Technical Information (OSTI)

    Modelling Approach (Journal Article) | SciTech Connect Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach Citation Details In-Document Search Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the

  4. Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf]

  5. Energy Conservation Program: Data Collection and Comparison with Forecasted

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

    Unit Sales for Five Lamp Types, Notice of Data Availability | Department of Energy Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability This document is the notice of data availability for Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types. PDF icon

  6. Dr John Vetrano | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    John Vetrano Materials Sciences and Engineering (MSE) Division MSE Home About Staff What's New Research Areas Reports and Activities Science Highlights Principal Investigators' Meetings BES Home Staff Dr. John Vetrano Print Text Size: A A A FeedbackShare Page Vetrano Program Manager Mechanical Behavior and Radiation Effects Materials Sciences and Engineering Division Office of Basic Energy Sciences SC-22.2/Germantown Building, Rm F-411 U.S. Department of Energy 1000 Independence Avenue, SW

  7. 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.

  8. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    Title: 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory When considering the amount of shortwave radiation incident on a photovoltaic solar array and, ...

  9. Improving the Accuracy of Solar Forecasting Funding Opportunity...

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

    These projects aim to improve the accuracy of solar forecasting that could increase penetration of solar power by enabling more certainty in power prediction from solar power ...

  10. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic...

    Office of Scientific and Technical Information (OSTI)

    Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates ...

  11. 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.

  12. 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, ...

  13. 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...

  14. 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...

  15. 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.

  16. 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.

  17. 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.

  18. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership

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

    for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations | Department of Energy 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 Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast Improvement

  19. 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.

  20. 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...

  1. 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 (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  2. Technical Review of the CENWP Computational Fluid Dynamics Model of the John Day Dam Forebay

    SciTech Connect (OSTI)

    Rakowski, Cynthia L.; Serkowski, John A.; Richmond, Marshall C.

    2010-12-01

    The US Army Corps of Engineers Portland District (CENWP) has developed a computational fluid dynamics (CFD) model of the John Day forebay on the Columbia River to aid in the development and design of alternatives to improve juvenile salmon passage at the John Day Project. At the request of CENWP, Pacific Northwest National Laboratory (PNNL) Hydrology Group has conducted a technical review of CENWP's CFD model run in CFD solver software, STAR-CD. PNNL has extensive experience developing and applying 3D CFD models run in STAR-CD for Columbia River hydroelectric projects. The John Day forebay model developed by CENWP is adequately configured and validated. The model is ready for use simulating forebay hydraulics for structural and operational alternatives. The approach and method are sound, however CENWP has identified some improvements that need to be made for future models and for modifications to this existing model.

  3. 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.

  4. 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.

  5. Tribute to Dr. John N. Bahcall by Dr. Raymond L. Orbach, Director, Office

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

    of Science | U.S. DOE Office of Science (SC) Tribute to Dr. John N. Bahcall by Dr. Raymond L. Orbach, Director, Office of Science News News Home Featured Articles Science Headlines 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 08.21.05 Tribute to Dr. John

  6. John N. Borkoski, P.E. EOB-Rutherford Business Center

    Energy Savers [EERE]

    Horst About Us John Horst - Public Affairs Specialist with the Office of Energy Efficiency and Renewable Energy John Horst is a Public Affairs Specialist with the Office of Energy Efficiency and Renewable Energy. Most Recent Super Bowl City Leads on Energy Efficient Forefront February 2 Ultra Energy Efficient Data Center Saves NREL $200,000 November 14

    April 10, 2012 Via Email: DistributionTransformers-2010-STD-0048@ee.doe.gov Ms. Brenda Edwards U.S. Department of Energy Building Technologies

  7. John A. Wheeler, 1968 | U.S. DOE Office of Science (SC)

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

    John A. Wheeler, 1968 The Enrico Fermi Award Fermi Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's 1950's Ceremony The Life of Enrico Fermi Contact Information The Enrico Fermi Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John A. Wheeler, 1968 Print Text Size: A A A FeedbackShare Page Citation For his pioneering contributions to understanding

  8. John B. Storer, 1968 | U.S. DOE Office of Science (SC)

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

    John B. Storer, 1968 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John B. Storer, 1968 Print Text Size: A A A FeedbackShare Page Life Sciences: For his many

  9. John Bannister Goodenough, 2009 | U.S. DOE Office of Science (SC)

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

    John Bannister Goodenough, 2009 The Enrico Fermi Award Fermi Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's 1950's Ceremony The Life of Enrico Fermi Contact Information The Enrico Fermi Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 2000's John Bannister Goodenough, 2009 Print Text Size: A A A FeedbackShare Page Citation For his lasting contributions

  10. John C. Wagner, 2013 | U.S. DOE Office of Science (SC)

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

    John C. Wagner, 2013 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 2010's John C. Wagner, 2013 Print Text Size: A A A FeedbackShare Page Computer, Information, and

  11. John D. Lindl, 1994 | U.S. DOE Office of Science (SC)

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

    John D. Lindl, 1994 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1990's John D. Lindl, 1994 Print Text Size: A A A FeedbackShare Page National Security: For his

  12. John E. Till, 1994 | U.S. DOE Office of Science (SC)

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

    John E. Till, 1994 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1990's John E. Till, 1994 Print Text Size: A A A FeedbackShare Page Environmental Science and

  13. John J. Dorning, 1990 | U.S. DOE Office of Science (SC)

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

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

  14. John J. Dunn, 1984 | U.S. DOE Office of Science (SC)

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

    John J. Dunn, 1984 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1980's John J. Dunn, 1984 Print Text Size: A A A FeedbackShare Page Life Sciences: For his fundamental

  15. John L. Sarrao, 2013 | U.S. DOE Office of Science (SC)

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

    John L. Sarrao, 2013 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 2010's John L. Sarrao, 2013 Print Text Size: A A A FeedbackShare Page Condensed Matter and Materials

  16. John M. Googin, 1967 | U.S. DOE Office of Science (SC)

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

    John M. Googin, 1967 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John M. Googin, 1967 Print Text Size: A A A FeedbackShare Page Chemistry & Metallurgy: For

  17. John M. Zachara, 2006 | U.S. DOE Office of Science (SC)

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

    John M. Zachara, 2006 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 2000's John M. Zachara, 2006 Print Text Size: A A A FeedbackShare Page Environmental Science and

  18. John N. Bahcall and Raymond Davis, Jr., 2003 | U.S. DOE Office of Science

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

    (SC) John N. Bahcall and Raymond Davis, Jr., 2003 The Enrico Fermi Award Fermi Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's 1950's Ceremony The Life of Enrico Fermi Contact Information The Enrico Fermi Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 2000's John N. Bahcall and Raymond Davis, Jr., 2003 Print Text Size: A A A FeedbackShare Page

  19. John Nuckolls, 1969 | U.S. DOE Office of Science (SC)

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

    John Nuckolls, 1969 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John Nuckolls, 1969 Print Text Size: A A A FeedbackShare Page Weapons: For his contributions to

  20. John O. Rasmussen, 1967 | U.S. DOE Office of Science (SC)

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

    John O. Rasmussen, 1967 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John O. Rasmussen, 1967 Print Text Size: A A A FeedbackShare Page Physics: For his

  1. John R. Huizenga, 1966 | U.S. DOE Office of Science (SC)

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

    John R. Huizenga, 1966 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1960's John R. Huizenga, 1966 Print Text Size: A A A FeedbackShare Page Chemistry & Metallurgy:

  2. John S. Foster, 1992 | U.S. DOE Office of Science (SC)

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

    John S. Foster, 1992 The Enrico Fermi Award Fermi Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's 1950's Ceremony The Life of Enrico Fermi Contact Information The Enrico Fermi Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1990's John S. Foster, 1992 Print Text Size: A A A FeedbackShare Page Citation For his outstanding contributions to national

  3. John S. Foster, Jr., 1960 | U.S. DOE Office of Science (SC)

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

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

  4. John W. Shaner, 1993 | U.S. DOE Office of Science (SC)

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

    John W. Shaner, 1993 The Ernest Orlando Lawrence Award Lawrence Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's Ceremony The Life of Ernest Orlando Lawrence Contact Information The Ernest Orlando Lawrence Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1990's John W. Shaner, 1993 Print Text Size: A A A FeedbackShare Page National Security: For

  5. John von Neumann, 1956 | U.S. DOE Office of Science (SC)

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

    John von Neumann, 1956 The Enrico Fermi Award Fermi Award Home Nomination & Selection Guidelines Award Laureates 2010's 2000's 1990's 1980's 1970's 1960's 1950's Ceremony The Life of Enrico Fermi Contact Information The Enrico Fermi Award U.S. Department of Energy SC-2/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-2411 E: Email Us 1950's John von Neumann, 1956 Print Text Size: A A A FeedbackShare Page Citation For his scientific contribution to the theory

  6. DOE/EH-0467 Interview with Dr. John W. Gofman, M.D., Ph.D.

    Office of Scientific and Technical Information (OSTI)

    DOE/EH-0467 Interview with Dr. John W. Gofman, M.D., Ph.D. Ju n e 1995 Setting: D ecem ber 20,1994, University of Califomia, San Francisco Interviewers; Karoline Gourley (DOE Office of Human Radiation Experiments) and Loretta Hefner (LBL) ORAL fflSTORY OF DR. JOHN W, GOFMAN, M.D., Ph.D. Conducted on December 20, 1994 in San Francisco, California, by Loretta Hefner, archivist for the Lawrence Berkeley Laboratory, and Karoline Gourley, a re- searcher for the Office o f Human Radiation Experiments,

  7. Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

    Broader source: Energy.gov [DOE]

    Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

  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. 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.

  10. ARM - PI Product - CCPP-ARM Parameterization Testbed Model Forecast...

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

    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...

  11. 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.

  12. 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.

  13. Summer gasoline price forecast slightly higher, but drivers still...

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

    In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular grade gasoline will average 2.21 per gallon this summer. While that's 17 ...

  14. 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.

  15. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    1) To provide profiles of the horizontal wind to be used to test and validate short-term cloud advection forecasts for solar-energy applications and 2) to provide vertical ...

  16. 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...

  17. Forecasting the oil-gasoline price relationship: should we care...

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

    (2007, EE) obtain similar results on a panel of 15 OECD countries, with annual data ... Results Point forecasts of the N.Y. gasoline price 26 Panel (a): daily data Model MSFE ...

  18. New Forecasting Tools Enhance Wind Energy Integration In Idaho...

    Office of Environmental Management (EM)

    New Forecasting Tools Enhance Wind Energy Integration in Idaho and Oregon Page 1 Under the ... (RIT) that enables grid operators to use wind energy more cost-effectively to serve ...

  19. On-Road Development of John Deere 6081 Natural Gas Engine: Final Technical Report, July 1999 - January 2001

    SciTech Connect (OSTI)

    McCaw, D. L.; Horrell, W. A.

    2001-09-24

    Report that discusses John Deere's field development of a heavy-duty natural gas engine. As part of the field development project, Waste Management of Orange County, California refitted four existing trash packers with John Deere's prototype spark ignited 280-hp 8.1 L CNG engines. This report describes the project and also contains information about engine performance, emissions, and driveability.

  20. Modeling and forecasting the distribution of Vibrio vulnificus in

    Office of Scientific and Technical Information (OSTI)

    Chesapeake Bay (Journal Article) | SciTech Connect Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay Citation Details In-Document Search Title: Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay The aim is to construct statistical models to predict the presence, abundance and potential virulence of Vibrio vulnificus in surface waters. A variety of statistical techniques were used in concert to identify water quality parameters

  1. Forecasting neutrino masses from combining KATRIN and the CMB observations:

    Office of Scientific and Technical Information (OSTI)

    Frequentist and Bayesian analyses (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses Citation Details In-Document Search Title: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses We present a showcase for deriving bounds on the neutrino masses from laboratory experiments and cosmological

  2. Expert Panel: Forecast Future Demand for Medical Isotopes | Department of

    Energy Savers [EERE]

    Energy Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and

  3. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National

    Office of Scientific and Technical Information (OSTI)

    Laboratory (Technical Report) | SciTech Connect 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory Citation Details In-Document Search Title: 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory When considering the amount of shortwave radiation incident on a photovoltaic solar array and, therefore, the amount and stability of the energy output from the system, clouds represent the greatest source of short-term (i.e., scale of minutes to

  4. 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

  5. John Day River Sub-Basin Fish Habitat Enhancement Project; 2008 Annual Report

    SciTech Connect (OSTI)

    Powell, Russ M.; Alley, Pamela D.; Goin Jr, Lonnie

    2009-07-15

    Work undertaken in 2008 included: (1) Seven new fence projects were completed thereby protecting approximately 10.97 miles of streams with 16.34 miles of riparian fence; (2) Renewal of one expired lease was completed thereby continuing to protect 0.75 miles of stream with 1.0 mile of riparian fence. (3) Maintenance of all active project fences (106.54 miles), watergaps (78), spring developments (33) were checked and repairs performed; (3) Planted 1000 willow/red osier on Fox Creek/Henslee property; (4) Planted 2000 willows/red osier on Middle Fork John Day River/Coleman property; (5) Planted 1000 willow/red osier cuttings on Fox Creek/Johns property; (6) Since the initiation of the Fish Habitat Project in 1984 we have 126.86 miles of stream protected using 211.72 miles of fence protecting 5658 acres. The purpose of the John Day Fish Habitat Enhancement Program is to enhance production of indigenous wild stocks of spring Chinook and summer steelhead within the sub basin through habitat protection, enhancement and fish passage improvement. The John Day River system supports the largest remaining wild runs of spring chinook salmon and summer steelhead in Northeast Oregon.

  6. National Oceanic and Atmospheric Administration Provides Forecasting Support for CLASIC and CHAPS 2007

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

    NOAA Provides Forecasting Support for CLASIC and CHAPS 2007 Forecasting Challenge While weather experiments in the heart of Tornado Alley typically focus on severe weather, the CLASIC and CHAPS programs will have different emphases. Forecasters from the National Oceanic and Atmospheric Administration in Norman, Okla. will provide weather forecasting support to these two Department of Energy experiments based in the state. Forecasting support for meteorological research field programs usually

  7. Supplement Analysis for the Watershed Management Program EIS - John Day Watershed Restoration Program

    SciTech Connect (OSTI)

    N /A

    2004-08-04

    The Bonneville Power Administration (BPA) is proposing to fund the John Day Watershed Restoration Program, which includes projects to improve watershed conditions, resulting in improved fish and wildlife habitat. The project was planned and coordinated by the Confederated Tribes of the Warm Springs through the John Day Basin Office in Prairie City, Oregon. A variety of activities will be implemented, described below. The project will involve the installation of four permanent lay flat diversions (structures) to replace temporary diversions. Two structures would be constructed in Beech Creek, one in Little Beech Creek and one in the John Day River. The structures will replace temporary pushup dams, which were constructed annually of various materials. Installation of the permanent diversion structures eliminates the stream-disturbing activities associated with annual installation of temporary structures. They also will enable fish passage in all flow conditions, an improvement over the temporary structures which can obstruct fish passage under some conditions. Five scour chains will be installed in six sites within the John Day River. The chains will be 3 feet long and consist of 1/4 inch chain. They will be buried within the streambed to monitor the movement of material in the streambed. Other activities that will be implemented include: Installation of off-site water systems in areas where fencing and revegetation projects are implemented, in order to restrict livestock access to waterways; construction of facilities to return irrigation flows to the Johns Day River, including the installation of pipe to replace failing drains or return ditches; installation of pumps to replace temporary diversions; and removal of junipers from approximately 500 acres per year by hand felling.

  8. 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.

  9. 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

  10. 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.

  11. 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.

  12. 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.

  13. MEMORANDUM TO: John Cymbalsky, U.S. Department of Energy, Office of Building

    Energy Savers [EERE]

    MEMORANDUM TO: John Cymbalsky, U.S. Department of Energy, Office of Building Technologies FROM: Ginger Willson, Director, Nebraska Energy Office DATE: December 12, 2011 RE: Meeting regarding DOE Energy Conservations Standards for Battery Chargers Following the Friday, December 2, 2011 meeting, please find below participants and discussion points presented relating to the U.S. Department of Energy (DOE) Energy Conservation Standards for Battery Chargers. The following participated in the meeting:

  14. Best Practices Case Study: John Wesley Miller Companies - Armory Park Del Sol, Tucson, AZ

    SciTech Connect (OSTI)

    2009-10-01

    Case study of John Wesley Miller Companies, who built two net zero energy homes plus 97 other solar homes in Tucson, AZ. Masonry block walls with rigid foam exterior sheathing, rigid foam over the roof deck plus R-38 in the attic, ducts in conditioned space, 4.2 kW and 5.7 kW photovoltaics and solar water heating yielded HERS scores of 0 on the two homes.

  15. To: John Cymbalsky, United States Department of Energy From: Amy Shepherd, General Counsel, AHRI

    Energy Savers [EERE]

    25, 2015 To: John Cymbalsky, United States Department of Energy From: Amy Shepherd, General Counsel, AHRI Re: Ex Parte Communication on Commercial Unitary Equipment Rulemaking On February 5, 2015, AHRI staff, Industry Representatives and Energy Efficiency Advocates met to discuss Department of Energy (DOE) rulemakings for commercial furnaces and unitary large equipment. The meeting was held at AHRI offices in Arlington, Virginia. A list of attendees is provided below. At the meeting, the group

  16. To: Laura Barhydt, United States Department of Energy John Cymbalsky, United States Department of Energy

    Energy Savers [EERE]

    September 25, 2015 To: Laura Barhydt, United States Department of Energy John Cymbalsky, United States Department of Energy From: Amy Shepherd, General Counsel, AHRI Re: Ex Parte Communication on Central Air-Conditioner Test Procedure On September 18, 2015, AHRI staff and Manufacturing Representatives met with representatives from the Department of Energy (DOE) to discuss proposed amended test procedures for central air conditioners. The meeting was held at AHRI offices in Arlington, Virginia. A

  17. Statement of Christopher Johns Director, Office of Budget U.S. Department of Energy

    Energy Savers [EERE]

    Christopher Johns Director, Office of Budget U.S. Department of Energy Before the Subcommittee on Oversight and Investigations Committee on Energy and Commerce U.S. House of Representatives April 18, 2012 Good morning. Chairman Stearns, Ranking Member DeGette, and Members of the Subcommittee, thank you for the opportunity to speak about monitoring and oversight efforts related to Department of Energy's FY13 budget process and the effective implementation of the American Recovery and Reinvestment

  18. "New Results from the National Ignition Facility", Dr. John Lindl, Lawrence

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

    Livermore National Laboratory | Princeton Plasma Physics Lab November 7, 2012, 4:15pm Colloquia MBG Auditorium "New Results from the National Ignition Facility", Dr. John Lindl, Lawrence Livermore National Laboratory Since completion of the NIF construction project in March 2009, a wide variety of diagnostics, facility infrastructure, and experimental platforms have been qualified. NIF reached its design goal of 1.8 MJ and 500 TW of ultraviolet light in 2012. The Ignition Campaign

  19. John Gregoire > Staff Scientist - JCAP > Center Alumni > The Energy

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

    Materials Center at Cornell Gregoire Staff Scientist - JCAP gregoire@caltech.edu After receiving his PhD in 2009, John stayed on as a Postdoc the van Dover group. He then continued his Postdoctoral work with Dr. Joost J. Vlassak at Harvard University. He is currently working as a staff scientist with the Caltech Joint Center for Artificial Photosynthesis Energy Innovation Hub

  20. John Negele Awarded Feshbach Prize | U.S. DOE Office of Science (SC)

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

    Resources » John Negele (MIT) Awarded Feshbach Prize for Theoretical Nuclear Physics Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources NP Workforce Survey Results .pdf file (182KB) Links News Archives Databases Reports Workshops Nuclear Physics Related Brochures and Videos Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000

  1. 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).

  2. 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).

  3. NEAC Facilities Subcommittee DRAFT Report 6/8/2015 Subcommittee members: John Ahearne, Dana Christensen, Tom Cochran, Mike Corradini, Dave

    Energy Savers [EERE]

    DRAFT Report 6/8/2015 Subcommittee members: John Ahearne, Dana Christensen, Tom Cochran, Mike Corradini, Dave Hill, Hussein Khalil, Andy Klein, Paul Murray, John Sackett (chair) Teams from the NEAC Facilities Subcommittee visited Argonne National Laboratory, Idaho National Laboratory and Oak Ridge National Laboratory to assess the state and availability of nuclear facilities appropriate to further development of nuclear technology. In addition, a survey was conducted of nuclear facility

  4. 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...

  5. 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.

  6. 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.

  7. Beyond "Partly Sunny": A Better Solar Forecast | Department of Energy

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

    Beyond "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

  8. A Public-Private-Academic Partnership to Advance Solar Power Forecasting |

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

    Department of Energy A Public-Private-Academic Partnership to Advance Solar Power Forecasting A Public-Private-Academic Partnership to Advance Solar Power Forecasting UCAR logo2.jpg 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. APPROACH UCAR value chain.png The team will develop a solar power forecasting system that advances the state of the science through

  9. Data Collection and Comparison with Forecasted Unit Sales of Five Lamp

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

    Types | Department of Energy 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 and Comparison with Forecasted Unit Sales of Five Lamp Types More Documents & Publications Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability CX-100584 Categorical Exclusion Determination ISSUANCE

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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 efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

  15. 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.

  16. Final Report- Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations

    Broader source: Energy.gov [DOE]

    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.

  17. 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.

  18. John Ludlow

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

    importance to ongoing research in controlled fusion energy. ... under consideration. 3. Current HPC Usage and Methods 3a. ... externally written library routines, from Lapack, ...

  19. John Christman

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

    Opportunities ESnet Staff & Org Chart Administration Advanced Network Technologies Cybersecurity Infrastructure, Identity & Collaboration Network Engineering Office of the CTO...

  20. John Shalf

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

    in 2001-2002. He is a member of the DOE Exascale Steering committee, and is a co-author of the landmark "View from Berkeley" paper as well as the DARPA Exascale Software Report. ...

  1. Speakers: Paul D. Holtberg, EIA John Conti, EIA Tom R. Eizember, Exxon Mobil Corporation

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

    3: "EIA's 2010 Annual Energy Outlook Highlights" Speakers: Paul D. Holtberg, EIA John Conti, EIA Tom R. Eizember, Exxon Mobil Corporation Mary Novak, HIS Global Insight [Note: Recorders did not pick up introduction of panel (see biographies for details on the panelists) or introduction of session.] Paul: All right, now we're running a little bit late here after all, lunch, so let's get started if we could. Either way, my speakers will be cut down to only 10 minutes each and we'll just

  2. Acoustic Telemetry Evaluation of Juvenile Salmonid Passage and Survival at John Day Dam, 2011

    SciTech Connect (OSTI)

    Weiland, Mark A.; Woodley, Christa M.; Ploskey, Gene R.; Hughes, James S.; Hennen, Matthew J.; Kim, Jin A.; Deng, Zhiqun; Fu, Tao; Skalski, J. R.; Townsend, Richard L.; Wagner, Katie A.; Fischer, Eric S.; Duncan, Joanne P.; Batten, G.; Carlson, Thomas J.; Carpenter, Scott M.; Cushing, Aaron W.; Elder, T.; Etherington, D. J.; Johnson, Gary E.; Khan, Fenton; Miracle, Ann L.; Mitchell, T. D.; Prather, K.; Rayamajhi, Bishes; Royer, Ida; Seaburg, Adam; Zimmerman, Shon A.

    2013-06-21

    This report presents survival, behavioral, and fish passage results for tagged yearling Chinook salmon and juvenile steelhead as part of a survival study conducted at John Day Dam during spring 2011. This study was designed to evaluate the passage and survival of yearling Chinook salmon and juvenile steelhead to assist managers in identifying dam operations for compliance testing as stipulated by the 2008 Federal Columbia River Power System Biological Opinion and the 2008 Columbia Basin Fish Accords. Survival estimates were based on a paired-release survival model.

  3. Acoustic Telemetry Evaluation of Juvenile Salmonid Passage and Survival at John Day Dam, 2010

    SciTech Connect (OSTI)

    Weiland, Mark A.; Woodley, Christa M.; Ploskey, Gene R.; Hughes, James S.; Kim, Jin A.; Deng, Zhiqun; Fu, Tao; Fischer, Eric S.; Skalski, J. R.; Townsend, Richard L.; Duncan, Joanne P.; Hennen, Matthew J.; Wagner, Katie A.; Arntzen, Evan V.; Miller, Benjamin L.; Miracle, Ann L.; Zimmerman, Shon A.; Royer, Ida M.; Khan, Fenton; Cushing, Aaron W.; Etherington, D. J.; Mitchell, T. D.; Elder, T.; Batton, George; Johnson, Gary E.; Carlson, Thomas J.

    2013-05-01

    This report presents survival, behavioral, and fish passage results for yearling and subyearling Chinook salmon smolts and juvenile steelhead tagged with JSATS acoustic micro-transmitters as part of a survival study conducted at John Day Dam during 2010. This study was designed to evaluate the passage and survival of yearling and subyearling Chinook salmon and juvenile steelhead to assist managers in identifying dam operations for compliance testing as stipulated by the 2008 Federal Columbia River Power System Biological Opinion and the 2008 Columbia Basin Fish Accords. Survival estimates were based on a single-release survival estimate model.

  4. L2:VRI.P3.01 John Turner ORNL

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

    P3.01 John Turner ORNL Completed: 9/30/11 CASL-U-2011-0017-002 SANDIA REPORT SAND2011-8524 Unlimited Release Printed November, 2011 An Introduction to LIME 1.0 and its Use in Coupling Codes for Multiphysics Simulations Rod Schmidt, Noel Belcourt, Russell Hooper, Roger Pawlowski Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned

  5. Ami M. DuBois, John David Lee, and Abdulgadar F. Almagri

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

    high time resolution x-ray diagnostic on the Madison Symmetric Torus Ami M. DuBois, John David Lee, and Abdulgadar F. Almagri Citation: Review of Scientific Instruments 86, 073512 (2015); doi: 10.1063/1.4927454 View online: http://dx.doi.org/10.1063/1.4927454 View Table of Contents: http://scitation.aip.org/content/aip/journal/rsi/86/7?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Upgrades of imaging x-ray crystal spectrometers for high-resolution and

  6. 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 ! " #" $ % % & # % " " " ' % ' ( ) * + " % ( , - . / 0 / " 0 . * 0 . * . . " 0 References A short model description Sensitivity tests Results Tropospheric humidity # " humidity 1 % 2 % ' 3 " % + 1 % 2 % % 3 % Updraft entrainment ' + % " 3 % 4 # " + %' 5 6)( . % ' 1 % .7

  7. 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 Center (RReDC) Provides information about biomass, geothermal, solar, and wind energy resources. Measurement and Instrumentation Data Center Provides irradiance and meteorological data from stations throughout the United States. Baseline Measurement System (BMS) Provides live solar radiation data from approximately 70

  8. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

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

    Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Elizabeth Torres Clayton Barrows Dave Bielen Aaron Bloom Greg Brinkman Brian W Bush Stuart Cohen Wesley Cole Paul Denholm Nicholas DiOrio Aron Dobos Kelly Eurek Janine Freeman Bethany Frew Pieter Gagnon Elaine Hale

  9. 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.

  10. Monitoring Fine Sediment; Grande Ronde and John Day Rivers, 2000 Annual Report.

    SciTech Connect (OSTI)

    Rhodes, Jonathan J.; Greene, M. Jonas; Purser, Michael D.

    2001-01-01

    Fine sediment in spawning substrate has a major effect on salmon survival from egg to smolt. Basin-wide restoration plans have established targets for fine sediment levels in spawning habitat. The project was initiated to monitor surface fine sediment levels and overwinter intrusion of fine sediment in spring chinook salmon spawning habitat in the North Fork John Day (NFJDR) and Grande Ronde Rivers, for five years. The project is also investigating the potential relationship between surface fine levels and overwinter sedimentation. It will provide data to assess trends in substrate conditions in monitored reaches and whether trends are consistent with efforts to improve salmon habitat conditions. The data on the magnitude of overwinter sedimentation will also be used to estimate salmon survival from egg to emergence. In Sept. 1998, 1999, and Aug. 2000, sites for monitoring overwinter sedimentation were established in salmon spawning habitat in the upper Grande Ronde River, Catherine Creek (a Grande Ronde tributary), the North Fork John Day River (NFJDR), and Granite Creek (a NFJDR tributary). Surface fine sediment levels were measured in these reaches via the grid method and visually estimated to test the relative accuracy of these two methods. In 1999 and 2000, surface fine sediment was also estimated via pebble counts at selected reaches to allow comparison of results among the methods. Overwintering substrate samples were collected in April 1999 and April-May 2000 to estimate the amount of overwinter sedimentation in clean gravels in spawning habitat. Monitoring methods and locations are described.

  11. 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

  12. 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.

  13. 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.

  14. Monitoring and Evaluation of Smolt Migration in the Columbia Basin : Volume XV : Evaluation of the 2007 Predictions of the Run-Timing of Wild and Hatchery-Reared Salmon and Steelhead Smolts to Rock Island, Lower Granite, McNary, John Day, and Bonneville Dams using Program RealTime.

    SciTech Connect (OSTI)

    Griswold, Jim; Townsend, Richard L.; Skalski, John R.

    2008-12-01

    Program RealTime provided monitoring and forecasting of the 2007 inseason outmigrations via the internet for 26 PIT-tagged stocks of wild ESU Chinook salmon and steelhead to Lower Granite and/or McNary dams, one PIT-tagged hatchery-reared ESU of sockeye salmon to Lower Granite Dam, one PIT-tagged wild stock of sockeye salmon to McNary Dam, and 20 passage-indexed runs-at-large, five each to Rock Island, McNary, John Day, and Bonneville dams. Nineteen stocks are of wild yearling Chinook salmon which were captured, PIT-tagged, and released at sites above Lower Granite Dam in 2007 and have at least one year's historical migration data previous to the 2007 migration. These stocks originate in 19 tributaries of the Salmon, Grande Ronde and Clearwater Rivers, all tributaries to the Snake River, and are subsequently detected through tag identification and monitored at Lower Granite Dam. Seven wild PIT-tagged runs-at-large of Snake or Upper Columbia River ESU salmon and steelhead were monitored at McNary Dam. Three wild PIT-tagged runs-at-large were monitored at Lower Granite Dam, consisting of the yearling and subyearling Chinook salmon and the steelhead runs. The hatchery-reared PIT-tagged sockeye salmon stock from Redfish Lake was monitored outmigrating through Lower Granite Dam. Passage-indexed stocks (stocks monitored by FPC passage indices) included combined wild and hatchery runs-at-large of subyearling and yearling Chinook, coho, and sockeye salmon, and steelhead forecasted to Rock Island, McNary, John Day, and Bonneville dams.

  15. Monitoring and Evaluation of Smolt Migration in the Columbia Basin, Volume XIV; Evaluation of 2006 Prediction of the Run-Timing of Wild and Hatchery-Reared Salmon and Steelhead at Rock Island, Lower Granite, McNary, John Day and Bonneville Dams using Program Real Time, Technical Report 2006.

    SciTech Connect (OSTI)

    Griswold, Jim

    2007-01-01

    Program RealTime provided monitoring and forecasting of the 2006 inseason outmigrations via the internet for 32 PIT-tagged stocks of wild ESU chinook salmon and steelhead to Lower Granite and/or McNary dams, one PIT-tagged hatchery-reared ESU of sockeye salmon to Lower Granite Dam, and 20 passage-indexed runs-at-large, five each to Rock Island, McNary, John Day, and Bonneville Dams. Twenty-four stocks are of wild yearling chinook salmon which were captured, PIT-tagged, and released at sites above Lower Granite Dam in 2006, and have at least one year's historical migration data previous to the 2006 migration. These stocks originate in drainages of the Salmon, Grande Ronde and Clearwater Rivers, all tributaries to the Snake River, and are subsequently detected through the tag identification and monitored at Lower Granite Dam. In addition, seven wild PIT-tagged runs-at-large of Snake or Upper Columbia River ESU salmon and steelhead were monitored at McNary Dam. Three wild PIT-tagged runs-at-large were monitored at Lower Granite Dam, consisting of the yearling and subyearling chinook salmon and the steelhead trout runs. The hatchery-reared PIT-tagged sockeye salmon stock from Redfish Lake was monitored outmigrating through Lower Granite Dam. Passage-indexed stocks (stocks monitored by FPC passage indices) included combined wild and hatchery runs-at-large of subyearling and yearling chinook, coho, and sockeye salmon, and steelhead trout forecasted to Rock Island, McNary, John Day, and Bonneville Dams.

  16. John Day Basin Spring Chinook Salmon Escapement and Productivity Monitoring; Fish Research Project Oregon, 2000-2001 Annual Report.

    SciTech Connect (OSTI)

    Carmichael, Richard W.; Claire, Glenda M.; Seals, Jason

    2002-01-01

    The four objectives of this report are: (1) Estimate annual spawner escapement and number of spring chinook salmon redds in the John Day River basin; (2) Determine sex ratio, age composition, length-at-age of spawners, and proportion of natural spawners that are hatchery origin strays; (3) Determine adequacy of historic index surveys for indexing spawner abundance and for detecting changes in spawner distribution through time; and (4) Estimate smolt-to-adult survival for spring chinook salmon emigrating from the John Day River basin.

  17. 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.

  18. Monitoring of Juvenile Subyearling Chinook Salmon Survival and Passage at John Day Dam, Summer 2010

    SciTech Connect (OSTI)

    Weiland, Mark A.; Ploskey, Gene R.; Hughes, James S.; Woodley, Christa M.; Deng, Zhiqun; Carlson, Thomas J.; Skalski, J. R.; Townsend, Richard L.

    2012-11-15

    The purpose of this study was to evaluate dam passage survival of subyearling Chinook salmon (Oncorhynchus tshawytscha; CH0) at John Day Dam (JDA) during summer 2010. This study was conducted by researchers from the Pacific Northwest National Laboratory (PNNL) in collaboration with the Pacific States Marine Fisheries Commission (PSMFC) and the University of Washington (UW). The study was designed to estimate the effects of 30% and 40% spill treatment levels on single release survival rates of CH0 passing through two reaches: (1) the dam, and 40 km of tailwater, (2) the forebay, dam, and 40 km of tailwater. The study also estimated additional passage performance measures which are stipulated in the Columbia Basin Fish Accords.

  19. 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.

  20. 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.

  1. 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.

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

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

    The Value of Improved Short- Term Wind Power Forecasting B.-M. Hodge and A. Florita National Renewable Energy Laboratory J. Sharp Sharply Focused, LLC M. Margulis and D. Mcreavy Lockheed Martin Technical Report NREL/TP-5D00-63175 February 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL)

  3. Compliance Monitoring of Yearling Chinook Salmon and Juvenile Steelhead Survival and Passage at John Day Dam, Spring 2011

    SciTech Connect (OSTI)

    Skalski, J. R.; Townsend, Richard L.; Seaburg, Adam; Weiland, Mark A.; Woodley, Christa M.; Hughes, James S.; Carlson, Thomas J.

    2012-06-01

    The study was designed to estimate dam passage survival at John Day Dam as stipulated by the 2008 Federal Columbia River Power System (FCRPS) Biological Opinion (BiOp) and to provide additional fish passage performance measures at that site as stipulated in the Columbia Basin Fish Accords.

  4. Compliance Monitoring of Yearling Chinook Salmon and Juvenile Steelhead Survival and Passage at John Day Dam, Spring 2011

    SciTech Connect (OSTI)

    Skalski, J. R.; Townsend, Richard L.; Seaburg, Adam; Weiland, Mark A.; Woodley, Christa M.; Hughes, James S.; Carlson, Thomas J.

    2012-02-01

    The study was designed to estimate dam passage survival at John Day Dam as stipulated by the 2008 Federal Columbia River Power System (FCRPS) Biological Opinion (BiOp) and to provide additional fish passage performance measures at that site as stipulated in the Columbia Basin Fish Accords.

  5. 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 individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times.

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. Energy Programs at the Johns Hopkins University Applied Physics Laboratory, Quarterly Report, January-March 1980

    SciTech Connect (OSTI)

    Entingh, Daniel J.

    1980-03-01

    The Johns Hopkins University Applied Physics Laboratory, under contracts with several agencies of the federal government and an agency of the State of Maryland, is engaged in developing energy resources, utilization concepts, and monitoring and storage methods. This Quarterly Report summarizes the work on the various tasks as of 31 March 1980. The Energy Quarterly Report is divided into four sections. The first, Geothermal Energy Development Planning and Technical Assistance, supported by the Department of Energy/Division of Geothermal Energy (DOE/DGE), contains reports on the progress of geothermal-related tasks on which effort was concentrated during the quarter. The second section, Operational Research, Hydroelectric Power Development, supported by the Department of Energy/Resource Applications (DOE/DGE), contains reports on small-scale hydroelectric investigations in the southeastern states. The third section, Seismotectonic Investigation, supported by the Reactor Safety Research Division of the Nuclear Regulatory Commission, reports on a neotectonic investigation in Connecticut. The fourth section, Energy Conversion and Storage Techniques, contains two articles, the first on OTEC core unit testing supported by the Department of Energy/Division of Central Solar Technology (DOE/CST), and the second on an analysis of the Community Annual Storage Energy System at the U.S. Naval Air Station, Norfolk, Va. This work is supported by the Department of Energy and the Department of Defense, Naval Facilities Engineering Command/Atlantic Division.

  13. Monitoring of Juvenile Yearling Chinook Salmon and Steelhead Survival and Passage at John Day Dam, Spring 2010

    SciTech Connect (OSTI)

    Weiland, Mark A.; Ploskey, Gene R.; Hughes, James S.; Woodley, Christa M.; Deng, Zhiqun; Carlson, Thomas J.; Skalski, J. R.; Townsend, Richard L.

    2012-11-15

    The purpose of this study was to compare dam passage survival, at two spill treatment levels, of yearling Chinook salmon and steelhead smolts at John Day Dam during spring 2010. The two treatments were 30% and 40% spill out of total project discharge. Under the 2008 Federal Columbia River Power System (FCRPS) Biological Opinion (BiOp), dam passage survival should be greater than or equal to 0.96 and estimated with a standard error (SE) less than or equal 0.015. The study also estimated forebay residence time, tailrace egress time, and spill passage efficiency (SPE), as required in the Columbia Basin Fish Accords. However, by agreement among the stakeholders, this study was not an official BiOp compliance test because the long-term passage measures at John Day Dam have yet to be finalized and another year of spill-treatment testing was desired.

  14. July 24, 2009, Visiting Speakers Program - The Next Generation of Regulation for High-Reliability Organizations by HON. John Bresland

    Energy Savers [EERE]

    Next Generation of Regulation for High-Reliability Organizations National Academy of Public Administration Washington, DC July 24, 2009 John Bresland Chairman United States Chemical Safety Board www.csb.gov What is a High Reliability Organization? * Management commitment * The right equipment * The right people * Standard procedures and training * Accountability * Employee feedback * Emergency response preparation * Leadership - must "walk the walk" www.csb.gov 2 * 3 www.csb.gov Are

  15. Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Chair; Arun Majumdar, Vice Chair; Albert Carnesale; Deborah Jin;

    Energy Savers [EERE]

    Summary Minutes of the U.S. Department of Energy (DOE) Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Chair; Arun Majumdar, Vice Chair; Albert Carnesale; Deborah Jin; Paul Joskow; Michael McQuade; Shirley Jackson; Francis Beinecke; Steve Koonin; Cherry Murray; Martha Schlicher; Ram Shenoy; Ellen Tauscher; Dan Yergin; and Dan Reicher Date and Time: March 31, 2015, 11:30 AM - 1:15 PM EST Location: Department of Energy, Forrestal Building, 1000 Independence

  16. Paul V. Braun and John A. Rogers Materials Research Laboratory, University of Illinois at Urbana-Champaign

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

    V. Braun and John A. Rogers Materials Research Laboratory, University of Illinois at Urbana-Champaign Three-Dimensionally Architectured Optoelectronics Achievement: We have developed an approach for three- dimensional template-directed epitaxy of high- performance III-V semiconductor materials. We have demonstrated optoelectronic functionality by fabricating a 3D photonic crystal LED, the rst- ever electrically driven emission from a 3D photonic crystal device. We also demonstrate that the LED

  17. Microsoft PowerPoint - 8_JIM_CRABTREE_JOHN_BALLARD_UPDATED_NMMSSTraining_2014_Powerpoint crabtree rev 2.ppt [Compatibility Mode

    National Nuclear Security Administration (NNSA)

    Training Courses and Resources John Ballard, Link/NMMSS Jim Crabtree, NNSA/NA-73 Training Resources  NMMSS Courses - Main Focus of Talk  NMMSS Users Meetings - Presentations, technical assistance, one-on-one meeting with NMMSS staff - Past Topics * SAMS * Foreign Obligations * IAEA Reporting * Waste Reporting  NMMSS Website - Reference Materials - Reporting guides, tables, forms, past presentations NMMSS courses  Three standard courses - NRC NMMSS I (with reconciliation module) - 2.5

  18. 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.

  19. Compliance Monitoring of Yearling and Subyearling Chinook Salmon and Juvenile Steelhead Survival and Passage at John Day Dam, 2012

    SciTech Connect (OSTI)

    Skalski, J. R.; Townsend, Richard L.; Seaburg, Adam; Weiland, Mark A.; Woodley, Christa M.; Hughes, James S.; Ploskey, Gene R.; Deng, Zhiqun; Carlson, Thomas J.

    2013-05-01

    The purpose of this compliance study was to estimate dam passage survival of yearling and subyearling Chinook salmon and steelhead smolts at John Day Dam during the spring and summer outmigrations in 2012. Under the 2008 Federal Columbia River Power System (FCRPS) Biological Opinion (BiOp), dam passage survival should be greater than or equal to 0.96 for spring migrants and greater than or equal to 0.93 for summer migrants, estimated with a standard error (SE) less than or equal to 0.015. The study also estimated smolt passage survival from the forebay 2 km upstream of the dam to the tailrace 3 km downstream of the dam, as well as the forebay residence time, tailrace egress time, spill passage efficiency (SPE), and fish passage efficiency (FPE), as required in the Columbia Basin Fish Accords (Fish Accords). A virtual/paired-release design was used to estimate dam passage survival at John Day Dam. The approach included releases of smolts, tagged with acoustic micro-transmitters, above John Day Dam that contributed to the formation of a virtual release at the face of John Day Dam. A survival estimate from this release was adjusted by a paired release below John Day Dam. A total of 3376 yearling Chinook salmon, 5726 subyearling Chinook salmon, and 3239 steelhead smolts were used in the virtual releases. Sample sizes for the below-dam paired releases (R2 and R3, respectively) were 997 and 995 for yearling Chinook salmon smolts, 986 and 983 for subyearling Chinook salmon smolts, and 1000 and 1000 for steelhead smolts. The Juvenile Salmon Acoustic Telemetry System (JSATS) tags were manufactured by Advanced Telemetry Systems. Model SS300 tags, weighing 0.304 g in air, were surgically implanted in yearling and subyearling Chinook salmon, and Model SS130 tag, weighing 0.438 g in air, were surgically implanted in juvenile steelhead for this investigation. The intent of the spring study was to estimate dam passage survival during both 30% and 40% spill conditions. The two spill conditions were to be systematically performed in alternating 2-day test intervals over the course of the spring outmigration. High flow conditions in 2012 interrupted the spill study. Dam passage survival was therefore estimated season-wide regardless of spill conditions.

  20. 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.

  1. World oil inventories forecast to grow significantly in 2016 and 2017

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

    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 prices low. In its new monthly forecast, the U.S. Energy Information Administration said world oil stocks are likely to increase by 1.6 million barrels per day this year and by 600,000 barrels per day next year. The higher forecast for inventory builds are the result of both higher global oil production and less oil

  2. Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations

    Broader source: Energy.gov [DOE]

    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...

  3. Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain

    Broader source: Energy.gov [DOE]

    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...

  4. 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.

  5. Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology

    Broader source: Energy.gov [DOE]

    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...

  6. U.S. diesel fuel price forecast to be 1 penny lower this summer...

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

    That's down 12 percent from last summer's record exports. Biodiesel production, which averaged 68,000 barrels a day last summer, is forecast to jump to 82,000 barrels a day this ...

  7. A comparison of model short-range forecasts and the ARM Microbase...

    Office of Scientific and Technical Information (OSTI)

    the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP) and compare these observations to model forecast data. ...

  8. 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.

  9. 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.

  10. U.S. oil production forecast update reflects lower rig count

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

    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 ...

  11. 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.

  12. 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.

  13. 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....

  14. 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.

  15. A Comparison of Water Vapor Quantities from Model Short-Range Forecasts and

    Office of Scientific and Technical Information (OSTI)

    ARM Observations (Technical Report) | SciTech Connect Water Vapor Quantities from Model Short-Range Forecasts and ARM Observations Citation Details In-Document Search Title: A Comparison of Water Vapor Quantities from Model Short-Range Forecasts and ARM Observations (in English; Croatian) Model evolution and improvement is complicated by the lack of high quality observational data. To address a major limitation of these measurements the Atmospheric Radiation Measurement (ARM) program was

  16. 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.

  17. 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%.

  18. 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.

  19. 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.)

  20. 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.)

  1. 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.

  2. 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.

  3. Annual Progress Report Fish Research Project Oregon : Project title, Evaluation of Habitat Improvements -- John Day River.

    SciTech Connect (OSTI)

    Olsen, Erik A.

    1984-01-01

    This report summarizes data collected in 1983 to evaluate habitat improvements in Deer, Camp, and Clear creeks, tributaries of the John Day River. The studies are designed to evaluate changes in abundance of spring chinook and summer steelhead due to habitat improvement projects and to contrast fishery benefits with costs of construction and maintenance of each project. Structure types being evaluated are: (1) log weirs, rock weirs, log deflectors, and in stream boulders in Deer Creek; (2) log weirs in Camp Creek; and (3) log weir-boulder combinations and introduced spawning gravel in Clear Creek. Abundance of juvenile steelhead ranged from 16% to 119% higher in the improved (treatment) area than in the unimproved (control) area of Deer Creek. However, abundance of steelhead in Camp Creek was not significantly different between treatment and control areas. Chinook and steelhead abundance in Clear Creek was 50% and 25% lower, respectively in 1983, than the mean abundance estimated in three previous years. The age structure of steelhead was similar between treatment and control areas in Deer and Clear creeks. The treatment area in Camp Creek, however, had a higher percentage of age 2 and older steelhead than the control. Steelhead redd counts in Camp Creek were 36% lower in 1983 than the previous five year average. Steelhead redd counts in Deer Creek were not made in 1983 because of high streamflows. Chinook redds counted in Clear Creek were 64% lower than the five year average. Surface area, volume, cover, and spawning gravel were the same or higher than the corresponding control in each stream except in Deer Creek where there was less available cover and spawning gravel in sections with rock weirs and in those with log deflectors, respectively. Pool:riffle ratios ranged from 57:43 in sections in upper Clear Creek with log weirs to 9:91 in sections in Deer Creek with rock weirs. Smolt production following habitat improvements is estimated for each stream. Preliminary cost estimates are summarized for each habitat project and economic benefits are calculated for Deer Creek.

  4. Microsoft PowerPoint - Effective Use of the Safeguards Management Software (SAMS)_John Ballard [Compatibility Mode]

    National Nuclear Security Administration (NNSA)

    Effective Use of the Safeguards Management Software (SAMS) John Ballard - NMMSS SAMS 2 What is SAMS? 3 Facility based version of the NMMSS software Functionality and look of the system are similar to NMMSS Benefits to Users Provides NMMSS user the ability to perform edit checks - Minimize errors Input transactions, material balance report, and inventory data - Simplifies reporting 4 Benefits to Users Enables NMMSS analyst to assist the user in real time while preparing facility

  5. 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 uncertainty in wind power and to more efficiently operate power systems with large wind power penetrations. Moreover, in a market environment, the wind power contribution to the generation portofolio becomes important in determining the daily and hourly prices, as variations in the estimated wind power will influence the clearing prices for both energy and operating reserves. With the increasing penetration of wind power, WPF is quickly becoming an important topic for the electric power industry. System operators (SOs), generating companies (GENCOs), and regulators all support efforts to develop better, more reliable and accurate forecasting models. Wind farm owners and operators also benefit from better wind power prediction to support competitive participation in electricity markets against more stable and dispatchable energy sources. In general, WPF can be used for a number of purposes, such as: generation and transmission maintenance planning, determination of operating reserve requirements, unit commitment, economic dispatch, energy storage optimization (e.g., pumped hydro storage), and energy trading. The objective of this report is to review and analyze state-of-the-art WPF models and their application to power systems operations. We first give a detailed description of the methodologies underlying state-of-the-art WPF models. We then look at how WPF can be integrated into power system operations, with specific focus on the unit commitment problem.

  6. 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.

  7. Confederated Tribes of the Umatilla Indian Reservation North Fork John Day River Basin Anadromous Fish Enhancement Project, Annual Report for FY 2000.

    SciTech Connect (OSTI)

    Macy, Tom L.; James, Gary A.

    2003-03-01

    The CTUIR North Fork John Day River Basin Anadromous Enhancement Project (NFJDAFEP) identified and prioritized stream reaches in The North Fork John day River basin for habitat improvements during the 2000 project period. Public out reach was emphasized during this first year of the project. We presented multiple funding and enhancement options to landowners. We concentrated on natural recovery methods, riparian fencing and off-stream livestock water developments. Under this BPA contract four riparian easements were signed protecting almost 5 miles of tributary streams. There are nine offstream water developments associated with these easements. Some landowners chose to participate in other programs based on Tribal outreach efforts. Two landowners chose NRCS programs for enhancement and one chose OWEB as a funding source. Two landowners implemented there own enhancement measures protecting 3 miles of stream. Cooperation between the NRCS/FSA/SWCDs and the Tribe to create joint projects and develop alternative funding scenarios for riparian enhancement was a major effort. The Tribe also worked with the North Fork John Day Watershed Council, USFS and ODFW to coordinate projects and support similar projects throughout the John Day Basin. We provided input to the John Day Summary prepared for the NWPPC by ODFW. The Tribe worked with the Umatilla National Forest on the Clear Creek Dredgetailings Rehabilitation project and coordinated regularly with USFS Fisheries, Hydrology and Range staff.

  8. Superfund Record of Decision (EPA Region 7): John Deere DDubuque Works, Dubuque, Iowa (first remedial action), September 1988. Final report

    SciTech Connect (OSTI)

    Not Available

    1988-09-29

    The John Deere Dubuque Works site is located approximately 2.5 miles north of the City of Dubuque, Iowa. The site is owned by Deere and Company, which has operated a manufacturing plant at the site since 1946. The plant property includes an area of 1,447 acres located in the flood plain at the confluence of the Little Maquoketa River and the Mississippi River. The waste-management history of the plant is complex, but the primary area of concern is an unlined landfill originally placed in a natural depression caused by the Little Maquoketa River. Prior to 1968, wastes were placed in the low areas of the landfill and combustible materials were burned. Another area of concern at the facility is the site of a 1980, 200,000-gallon diesel fuel spill. Investigations conducted by John Deere indicated that human health hazards at the landfill could be considered minimal with the primary hazard being the possibility of dissolved organic chemicals impacting offsite domestic wells located east of the plant along the Mississippi River. The primary contaminants of concern affecting the ground water are volatile organic compounds including benzene, PCE, TCE, and toluene. The selected remedial action for the site is included.

  9. Feeding Activity, Rate of Consumption, Daily Ration and Prey Selection of Major Predators in John Day Reservoir, 1984 : Annual Report.

    SciTech Connect (OSTI)

    Gray, Gerard A.; United States. Bonneville Power Administration; U.S. Fish and Wildlife Service; National Fishery Research Center

    1986-07-01

    The extent of predation on juvenile salmonids in John Day Reservoir was determined. Salmonids were the single most important food item by weight for northern squawfish (Ptychocheilus oregonensis) in the restricted zones at McNary tailrace and John Day forebay during all sampling periods. Salmonids accounted for 18.1% of the weight in the diet of walleyes (Stizostedion vitreum vitreum) in 1984 which was at least twice that found in previous years. In smallmouth bass (Micropterus dolomieui) salmonids contributed little to their diet whereas for channel catfish (Ictalurus punctatus) fish accounted for 64.1% of the weight in their diet with salmonids responsible for approximately half of this weight. An intensive search of the fisheries literature was conducted to review various fish capture and control techniques which might have potential as predation control measures for the major predators of juvenile salmonids in the Columbia River system. Most prey protection measures were judged to have high potential and direct predator control measures were judged to have moderate or low potential.

  10. The Value of Improved Wind Power Forecasting in the Western Interconnection (Poster), NREL (National Renewable Energy Laboratory)

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

    outcome 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 interest are: 1. Correlated behavior among variables (e.g., changes in dispatch stacks, production costs, or generation by type as a function of forecasting accuracy); 2. The relative reduction in wind curtailment with improved forecasting accuracy; and 3. The value of information (e.g., which subset of

  11. Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Li, Xueping; Zhou, Shengchao

    2015-01-01

    The worldwide concern over environmental degradation, increasing pressure on electric utility companies to meet peak energy demand, and the requirement to avoid purchasing power from the real-time energy market are motivating the utility companies to explore new approaches for forecasting energy demand. Until now, most approaches for forecasting energy demand rely on monthly electrical consumption data. The emergence of smart meters data is changing the data space for electric utility companies, and creating opportunities for utility companies to collect and analyze energy consumption data at a much finer temporal resolution of at least 15-minutes interval. While the data granularity provided by smart meters is important, there are still other challenges in forecasting energy demand; these challenges include lack of information about appliances usage and occupants behavior. Consequently, in this paper, we develop an optimization based data mining approach for forecasting real-time energy demand using smart meters data. The objective of our approach is to develop a robust estimation of energy demand without access to these other building and behavior data. Specifically, the forecasting problem is formulated as a quadratic programming problem and solved using the so-called support vector machine (SVM) technique in an online setting. The parameters of the SVM technique are optimized using simulated annealing approach. The proposed approach is applied to hourly smart meters data for several residential customers over several days.

  12. Baseline data for the residential sector and development of a residential forecasting database

    SciTech Connect (OSTI)

    Hanford, J.W.; Koomey, J.G.; Stewart, L.E.; Lecar, M.E.; Brown, R.E.; Johnson, F.X.; Hwang, R.J.; Price, L.K.

    1994-05-01

    This report describes the Lawrence Berkeley Laboratory (LBL) residential forecasting database. It provides a description of the methodology used to develop the database and describes the data used for heating and cooling end-uses as well as for typical household appliances. This report provides information on end-use unit energy consumption (UEC) values of appliances and equipment historical and current appliance and equipment market shares, appliance and equipment efficiency and sales trends, cost vs efficiency data for appliances and equipment, product lifetime estimates, thermal shell characteristics of buildings, heating and cooling loads, shell measure cost data for new and retrofit buildings, baseline housing stocks, forecasts of housing starts, and forecasts of energy prices and other economic drivers. Model inputs and outputs, as well as all other information in the database, are fully documented with the source and an explanation of how they were derived.

  13. Optimization of Concurrent Deployments of the Juvenile Salmon Acoustic Telemetry System and Other Hydroacoustic Equipment at John Day Dam

    SciTech Connect (OSTI)

    Ploskey, Gene R.; Hughes, James S.; Khan, Fenton; Kim, Jina; Lamarche, Brian L.; Johnson, Gary E.; Choi, Eric Y.; Faber, Derrek M.; Wilberding, Matthew C.; Deng, Zhiqun; Weiland, Mark A.; Zimmerman, Shon A.; Fischer, Eric S.; Cushing, Aaron W.

    2008-09-01

    The purpose of this report is to document the results of the acoustic optimization study conducted at John Day Dam during January and February 2008. The goal of the study was to optimize performance of the Juvenile Salmon Acoustic Telemetry System (JSATS) by determining deployment and data acquisition methods to minimize electrical and acoustic interference from various other acoustic sampling devices. Thereby, this would allow concurrent sampling by active and passive acoustic methods during the formal evaluations of the prototype surface flow outlets at the dam during spring and summer outmigration seasons for juvenile salmonids. The objectives for the optimization study at John Day Dam were to: 1. Design and test prototypes and provide a total needs list of pipes and trolleys to deploy JSATS hydrophones on the forebay face of the powerhouse and spillway. 2. Assess the effect on mean percentage decoded of JSATS transmissions from tags arrayed in the forebay and detected on the hydrophones by comparing: turbine unit OFF vs. ON; spill bay OPEN vs. CLOSED; dual frequency identification sonar (DIDSON) and acoustic Doppler current profiler (ADCP) both OFF vs. ON at a spill bay; and, fixed-aspect hydroacoustic system OFF vs. ON at a turbine unit and a spill bay. 3. Determine the relationship between fixed-aspect hydroacoustic transmit level and mean percentage of JSATS transmissions decoded. The general approach was to use hydrophones to listen for transmissions from JSATS tags deployed in vertical arrays in a series perpendicular to the face of the dam. We used acoustic telemetry equipment manufactured by Technologic and Sonic Concepts. In addition, we assessed old and new JSATS signal detectors and decoders and two different types of hydrophone baffling. The optimization study consisted of a suite of off/on tests. The primary response variable was mean percentage of tag transmissions decoded. We found that there was no appreciable adverse effect on mean percentage decoded for JSATS transmitters from: turbine operations; spillway operations; DIDSON/ADCP acoustic energy; and PAS hydroacoustic systems at transmit level of -12 dB, although there was a significant impact at all higher transmit levels (-11 to -6 dB). The main conclusion from this optimization study is that valid JSATS telemetry data can be collected simultaneously with a DIDSON/ADCP and a PAS hydroacoustic system at transmit level -12 dB. Multiple evaluation tools should be considered to increase the robustness and thoroughness of future fish passage evaluations at John Day and other dams.

  14. Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy

    SciTech Connect (OSTI)

    Yock, Adam D.; Kudchadker, Rajat J.; Rao, Arvind; Dong, Lei; Beadle, Beth M.; Garden, Adam S.; Court, Laurence E.

    2014-08-15

    Purpose: To create models that forecast longitudinal trends in changing tumor morphology and to evaluate and compare their predictive potential throughout the course of radiation therapy. Methods: Two morphology feature vectors were used to describe 35 gross tumor volumes (GTVs) throughout the course of intensity-modulated radiation therapy for oropharyngeal tumors. The feature vectors comprised the coordinates of the GTV centroids and a description of GTV shape using either interlandmark distances or a spherical harmonic decomposition of these distances. The change in the morphology feature vector observed at 33 time points throughout the course of treatment was described using static, linear, and mean models. Models were adjusted at 0, 1, 2, 3, or 5 different time points (adjustment points) to improve prediction accuracy. The potential of these models to forecast GTV morphology was evaluated using leave-one-out cross-validation, and the accuracy of the models was compared using Wilcoxon signed-rank tests. Results: Adding a single adjustment point to the static model without any adjustment points decreased the median error in forecasting the position of GTV surface landmarks by the largest amount (1.2 mm). Additional adjustment points further decreased the forecast error by about 0.4 mm each. Selection of the linear model decreased the forecast error for both the distance-based and spherical harmonic morphology descriptors (0.2 mm), while the mean model decreased the forecast error for the distance-based descriptor only (0.2 mm). The magnitude and statistical significance of these improvements decreased with each additional adjustment point, and the effect from model selection was not as large as that from adding the initial points. Conclusions: The authors present models that anticipate longitudinal changes in tumor morphology using various models and model adjustment schemes. The accuracy of these models depended on their form, and the utility of these models includes the characterization of patient-specific response with implications for treatment management and research study design.

  15. Results of Performance Tests Performed on the John Watts Casing Connection on 7" Pipe

    SciTech Connect (OSTI)

    John D. Watts

    1999-08-01

    Stress Engineering Services (SES) was contracted by Mr. John Watts to test his threaded connection developed for oilfield oil and gas service. This particular test required the application of a variety of loads including axial tension and compression, internal pressure (gas), external pressure (water), bending and both low and elevated temperature. These loads were used to determine the sealing and structural limits of the connection. The connection design tested had tapered threads with 10 threads per inch. A square thread form and a round thread form were tested. The square thread form had a 2{sup o} load flank and 15{sup o} stab flank. The round thread had a 0{sup o} load flank and 20{sup o} stab flank. Most of the testing was performed on the round thread form. Both a coupled connection design and an integral connection design were tested. The coupling was a pin by pin (male) thread, with the pipe having a box (female) thread. Both designs have outside and inside diameters that are flush with the pipe body. Both designs also contain a small external shoulder. The test procedure selected for this evaluation was the newly written ISO 13679 procedure for full scale testing of casing and tubing connections. The ISO procedure requires a variety of tests that includes makeup/breakout testing, internal gas sealability/external water sealability testing with axial tension, axial compression, bending, internal gas thermal cycle tests and limit load (failure) tests. This test was performed with four coupled samples and included most of these loads. Two integral samples were also included for limit load testing ISO makeup/breakout tests are divided into three types--initial makeup, IML1, repeated makeup within the same sample, MBL, and repeated makeup using several samples called round robin, RR. IMU and MBL were performed in this project. The ISO sealing and structural procedure is divided into four primary tests and identified as Series A, B, C and Limit Load (failure). Series A and B test to 95% actual yield of the pipe and Series C uses 90% of actual yield. Samples 1 and 3 were tested to Series A and the loads are shown in Figure 1. For these samples, the axial compression was limited to 75% pipe body yield, which was set by Mr. Watts at the beginning of the test. Samples 2 and 4 were tested to Series B with loads shown in Figure 2. This series included 20 degrees per 100 feet bending but no external pressure. Due to premature leaks, no samples were subjected to Series C which included mechanical and thermal cycles. Samples 5 and 6 were tested to failure. The project started with the selection and purchase of a popular size of oilfield pipe, which was 7-inch OD, 32 pound per foot, P-110 casing. While the connections were being threaded, material tensile tests were performed to get the actual strength of the 7-inch pipe. The first samples contained a square thread form. Excessive galling was experienced during the first series of makeup/breakout tests and Mr. Watts decided to change the thread form and remachine the samples. The second samples had a round thread form and performed very well in the makeup/breakout tests. Basically no galling occurred of any consequence. Samples 1 and 3 were to be tested with external water (ISO Series A) while samples 2 and 4 were to be tested with bending (ISO Series B, no external pressure). Testing of all four samples started with tension and internal gas pressure. During this initial pressure testing, samples 1, 3 and 4 developed leaks and the test was stopped before any external pressure or bending was applied. Sample 2 successfully tested to ISO Load Point 5 which included bending before developing a leak. Figure 3 shows the loads at which the samples leaked and the relative pipe body performance capability. Sample 1 and end A of sample 2 held a high pressure while samples 3, 4 and end B of sample 2 leaked at relatively low pressures. All of these leaks were with nitrogen gas pressure. After reviewing the results, it was believed that several conditions may have contributed to the prema

  16. 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 forecast, the U.S. Energy Information Administration said the retail price for regular gasoline should average $2.33 per gallon this year. The price of gasoline increased in early February after falling for 17 weeks in a row. But gasoline prices will continue to remain low in 2015 when compared with pump prices in recent

  17. A Comparison of Model Short-Range Forecasts and the ARM Microbase Data

    Office of Scientific and Technical Information (OSTI)

    Fourth Quarter ARM Science Metric (Technical Report) | SciTech Connect Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric Citation Details In-Document Search Title: A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the "Microbase" value added product (referred to as OBS, within

  18. EERE Success Story-Solar Forecasting Gets a Boost from Watson, Accuracy

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

    Improved by 30% | Department of Energy Forecasting Gets a Boost from Watson, Accuracy Improved by 30% EERE Success Story-Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM Youtube Video | Courtesy of IBM Remember when IBM's super computer Watson defeated Jeopardy! champions Ken Jennings and Brad Rutter? With funding from the U.S. Department of Energy SunShot Initiative, IBM researchers are using Watson-like technology to improve solar

  19. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark A.; Wiser, Ryan H.

    2010-01-04

    On December 14, 2009, the reference-case projections from Annual Energy Outlook 2010 were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in itigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings.

  20. To: J. Chipman Frm: John P. Howe In Her Visit to Graseelli Laboratories, Cleveland, Ohio, August 30, 1943

    Office of Legacy Management (LM)

    ij& 3-l v-y m Consisting of % pages containing 0 figures copy No.&of 12 copies. Series A' . September 9, 1943 To: J. Chipman Frm: John P. Howe In Her Visit to Graseelli Laboratories, Cleveland, Ohio, August 30, 1943 This meeting was the usual biweekly review of the coating work dono at the Grascrelli Laboratories. LOT DIP - reported by 3. R. bl&er 1 ' 2 / r; 4 I-I 3 -4 cn 14 CD 4 E L> -4 v) 4 -+ CT :2 z -J L3 t 4 F=o Q) A Cl ri z + 2 k fi ii lr= e.2 v i $ & k 0 2 5 c w s .G 0

  1. Escapement and Productivity of Spring Chinook and Summer Steelhead in the John Day River Basin, Technical Report 2004-2005.

    SciTech Connect (OSTI)

    Wilson, Wayne

    2007-04-01

    The objectives are: (1) Estimate number and distribution of spring Chinook salmon Oncorhynchus tshawytscha redds and spawners in the John Day River subbasin; and (2) Estimate smolt-to-adult survival rates (SAR) and out-migrant abundance for spring Chinook and summer steelhead O. mykiss and life history characteristics of summer steelhead. Spawning ground surveys for spring (stream-type) Chinook salmon were conducted in four main spawning areas (Mainstem, Middle Fork, North Fork, and Granite Creek System) and seven minor spawning areas (South Fork, Camas Creek, Desolation Creek, Trail Creek, Deardorff Creek, Clear Creek, and Big Creek) in the John Day River basin during August and September of 2005. Census surveys included 298.2 river kilometers (88.2 rkm within index, 192.4 rkm additional within census, and 17.6 rkm within random survey areas) of spawning habitat. We observed 902 redds and 701 carcasses including 227 redds in the Mainstem, 178 redds in the Middle Fork, 420 redds in the North Fork, 62 redds in the Granite Creek System, and 15 redds in Desolation Creek. Age composition of carcasses sampled for the entire basin was 1.6% age 3, 91.2% age 4, and 7.1% age 5. The sex ratio was 57.4% female and 42.6% male. Significantly more females than males were observed in the Granite Creek System. During 2005, 82.3% of female carcasses sampled had released all of their eggs. Significantly more pre-spawn mortalities were observed in Granite Creek. Nine (1.3%) of 701 carcasses were of hatchery origin. Of 298 carcasses examined, 4.0% were positive for the presence of lesions. A significantly higher incidence of gill lesions was found in the Granite Creek System when compared to the rest of the basin. Of 114 kidney samples tested, two (1.8%) had clinical BKD levels. Both infected fish were age-4 females in the Middle Fork. All samples tested for IHNV were negative. To estimate spring Chinook and summer steelhead smolt-to-adult survival (SAR) we PIT tagged 5,138 juvenile Chinook and 4,913 steelhead during the spring of 2005. We estimated that 130,144 (95% CL's 97,133-168,409) Chinook emigrated from the upper John Day subbasin past our seining area in the Mainstem John Day River (river kilometers 274-296) between February 4 and June 16, 2005. We also estimated that 32,601 (95% CL's 29,651 and 36,264) Chinook and 47,921 (95% CL's 35,025 and 67,366) steelhead migrated past our Mainstem rotary screw trap at river kilometer (rkm) 326 between October 4, 2004 and July 6, 2005. We estimated that 20,193 (95% CL's 17,699 and 22,983) Chinook and 28,980 (95% CL's 19,914 and 43,705) steelhead migrated past our Middle Fork trap (rkm 24) between October 6, 2004 and June 17, 2005. Seventy three percent of PIT tagged steelhead migrants were age-2 fish, 13.8% were age-3, 12.7% were age-2, and 0.3% were age 4. Spring Chinook SAR for the 2002 brood year was estimated at 2.5% (100 returns of 4,000 PIT tagged smolts). Preliminary steelhead SAR (excluding 2-ocean fish) for the 2004 tagging year was estimated at 1.61% (60 returns of 3,732 PIT-tagged migrants).

  2. Confederated Tribes of the Umatilla Indian Reservation North Fork John Day River Basin Anadromous Fish Enhancement Project, Annual Report for FY 2001.

    SciTech Connect (OSTI)

    Macy, Tom L.; James, Gary A.

    2003-03-01

    The CTUIR North Fork John Day River Basin Anadromous Enhancement Project (NFJDAFEP) identified and prioritized stream reaches in The North Fork John day River basin for habitat improvements during the 2000 project period. Public outreach was emphasized during this first year of the project. During the past year we concentrated on satisfying landowner needs, providing cost share alternatives, providing joint projects and starting implementation. We presented multiple funding and enhancement options to landowners. We concentrated on natural recovery methods, riparian fencing and offstream livestock water developments. Under this BPA contract four riparian easements have been signed protecting almost 5 miles of tributary streams. There are nine offstream water developments associated with these easements. Some landowners chose to participate in other programs based on Tribal outreach efforts. Some landowners chose NRCS programs for enhancement and others chose OWEB as a funding source. The exact amount of stream protection due to other funding sources probably exceeds that by BPA, however most would not have entered any program without initial Tribal outreach. Cooperation between the NRCS/FSA/SWCDs and the Tribe to create joint projects and develop alternative funding scenarios for riparian enhancement was a major effort. The Tribe also worked with the North Fork John Day Watershed Council, USFS and ODFW to coordinate projects and support similar projects throughout the John Day Basin.

  3. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2003 THRU FY2046 VERSION 2003.1 VOLUME 2 [SEC 1 & 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2003-12-01

    This report includes data requested on September 10, 2002 and includes radioactive solid waste forecasting updates through December 31, 2002. The FY2003.0 request is the primary forecast for fiscal year FY 2003.

  4. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach

    SciTech Connect (OSTI)

    Brown, C. W.; Hood, Raleigh R.; Long, Wen; Jacobs, John M.; Ramers, D. L.; Wazniak, C.; Wiggert, J. D.; Wood, R.; Xu, J.

    2013-09-01

    The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the concentrations of chlorophyll, nitrate, and dissolved oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. While the physical and biogeochemical variables are forecast mechanistically using the Regional Ocean Modeling System configured for the Chesapeake Bay, the species predictions are generated using a novel mechanistic empirical approach, whereby real-time output from the coupled physical biogeochemical model drives multivariate empirical habitat models of the target species. The predictions, in the form of digital images, are available via the World Wide Web to interested groups to guide recreational, management, and research activities. Though full validation of the integrated forecasts for all species is still a work in progress, we argue that the mechanisticempirical approach can be used to generate a wide variety of short-term ecological forecasts, and that it can be applied in any marine system where sufficient data exist to develop empirical habitat models. This paper provides an overview of this system, its predictions, and the approach taken.

  5. Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

    2012-09-01

    The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

  6. Industrial end-use forecasting that incorporates DSM and air quality

    SciTech Connect (OSTI)

    Tutt, T.; Flory, J.

    1995-05-01

    The California Energy Commission (CEC) and major enregy utilities in California have generally depended on simple aggregate intensity or economic models to forecast energy use in the process industry sector (which covers large industries employing basic processes to transform raw materials, such as paper mills, glass plants, and cement plants). Two recent trends suggests that the time has come to develop a more disaggregate process industry forecasting model. First, recent efforts to improve air quality, especially by the South Coast Air Quality Management District (SCAQMD), could significantly affect energy use by the process industry by altering the technologies and processes employed in order to reduce emissions. Second, there is a renewed interest in Demand-Side Management (DSM), not only for utility least-cost planning, but also for improving the economic competitiveness and environmental compliance of the pro{minus}cess industries. A disaggregate forecasting model is critical to help the CEC and utilities evaluate both the air quality and DSM impacts on energy use. A crucial obstacle to the development and use of these detailed process industry forecasting models is the lack of good data about disaggregate energy use in the sector. The CEC is nearing completion of a project to begin to overcome this lack of data. The project is testing methds of developing detailed energy use data, collecting an initial database for a large portion of southern California, and providing recommendations and direction for further data collection efforts.

  7. Expectations models of electric utilities' forecasts: a case study of econometric estimation with influential data points

    SciTech Connect (OSTI)

    Vellutini, R. de A.S.; Mount, T.D.

    1983-01-01

    This study develops an econometric model for explaining how electric utilities revise their forecasts of future electricity demand each year. The model specification is developed from the adaptive expectations hypothesis and it relates forecasted growth rates to actual lagged growth rates of electricity demand. Unlike other studies of the expectation phenomenon, expectations of future demand levels constitute an observable variable and thus can be incorporated explicitly into the model. The data used for the analysis were derived from the published forecasts of the nine National Electric Reliability Councils in the US for the years 1974 to 1980. Three alternative statistical methods are used for estimation purposes: ordinary least-squares, robust regression and a diagnostic analysis to identify influential observations. The results obtained with the first two methods are very similar, but are both inconsistent with the underlying economic logic of the model. The estimated model obtained from the diagnostics approach after deleting two aberrant observations is consistent with economic logic, and supports the hypothesis that the low growth demand experienced immediately following the oil embargo in 1973 were disregarded by the industry for forecasting purposes. The model includes transitory effects associated with the oil embargo that gradually disappear over time, the estimated coefficients for the lagged values of actual growth approach a structure with declining positive weights. The general shape of this asymptotic structure is similar to the findings in many economic applications using distributed lag models.

  8. A Distributed Modeling System for Short-Term to Seasonal Ensemble Streamflow Forecasting in Snowmelt Dominated Basins

    SciTech Connect (OSTI)

    Wigmosta, Mark S.; Gill, Muhammad K.; Coleman, Andre M.; Prasad, Rajiv; Vail, Lance W.

    2007-12-01

    This paper describes a distributed modeling system for short-term to seasonal water supply forecasts with the ability to utilize remotely-sensed snow cover products and real-time streamflow measurements. Spatial variability in basin characteristics and meteorology is represented using a raster-based computational grid. Canopy interception, snow accumulation and melt, and simplified soil water movement are simulated in each computational unit. The model is run at a daily time step with surface runoff and subsurface flow aggregated at the basin scale. This approach allows the model to be updated with spatial snow cover and measured streamflow using an Ensemble Kalman-based data assimilation strategy that accounts for uncertainty in weather forecasts, model parameters, and observations used for updating. Model inflow forecasts for the Dworshak Reservoir in northern Idaho are compared to observations and to April-July volumetric forecasts issued by the Natural Resource Conservation Service (NRCS) for Water Years 2000 2006. October 1 volumetric forecasts are superior to those issued by the NRCS, while March 1 forecasts are comparable. The ensemble spread brackets the observed April-July volumetric inflows in all years. Short-term (one and three day) forecasts also show excellent agreement with observations.

  9. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  10. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  11. EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day

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

    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 Administration revised upward its projection for crude oil output in 2013 by 70,000 barrels per day and for next year by 190,000 barrels per day. U.S. oil production is now on track to average 7.5 million barrels per day this year and rise to 8.4 million barrels per day in 2014, according to EIA's latest monthly forecast.

  12. A Processor to get UV-A and UV-B Radiation Products from the ECMWF Forecast

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

    System A Processor to get UV-A and UV-B Radiation Products from the ECMWF Forecast System Morcrette, Jean-Jacques European Centre for Medium-Range Weather Forecasts Category: Radiation A new processor for evaluating the UV-B and UV-A radiation at the surface, based on modifications to the current shortwave radiation scheme of the ECMWF forecast system is described. Sensitivity studies of the UV surface irradiance and Erythemal Dose Rate to spectral resolution, representation and atmospheric

  13. Unit commitment with wind power generation: integrating wind forecast uncertainty and stochastic programming.

    SciTech Connect (OSTI)

    Constantinescu, E. M.; Zavala, V. M.; Rocklin, M.; Lee, S.; Anitescu, M.

    2009-10-09

    We present a computational framework for integrating the state-of-the-art Weather Research and Forecasting (WRF) model in stochastic unit commitment/energy dispatch formulations that account for wind power uncertainty. We first enhance the WRF model with adjoint sensitivity analysis capabilities and a sampling technique implemented in a distributed-memory parallel computing architecture. We use these capabilities through an ensemble approach to model the uncertainty of the forecast errors. The wind power realizations are exploited through a closed-loop stochastic unit commitment/energy dispatch formulation. We discuss computational issues arising in the implementation of the framework. In addition, we validate the framework using real wind speed data obtained from a set of meteorological stations. We also build a simulated power system to demonstrate the developments.

  14. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01

    This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

  15. Integration of Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Etingov, Pavel V.; Huang, Zhenyu; Ma, Jian; Chakrabarti, Bhujanga B.; Subbarao, Krishnappa; Loutan, Clyde; Guttromson, Ross T.

    2010-04-20

    In this paper, a new approach to evaluate the uncertainty ranges for the required generation performance envelope, including the balancing capacity, ramping capability and ramp duration is presented. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (CAISO) real life data have shown the effectiveness and efficiency of the proposed approach.

  16. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect (OSTI)

    Eisenberg, Joel F.

    2005-10-31

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

  17. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13

    On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

  18. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19

    On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  19. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

    On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  20. Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Persis Drell, Co-Chair; Frances Beinecke; Albert

    Energy Savers [EERE]

    Summary Minutes of the U.S. Department of Energy (DOE) Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Persis Drell, Co-Chair; Frances Beinecke; Albert Carnesale; Shirley Jackson; Deborah Jin; Paul Joskow; Steven Koonin; Michael McQuade; Richard Meserve; Cherry Murray; Carmichael Roberts; Ram Shenoy; Martha Schlicher; Daniel Yergin Date and Time: 9:00 AM- 12:00 NOON, March 28, 2014 Location: U.S. Department of Energy Forrestal Building, 1000

  1. Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Persis Drell, Co-Chair; Rafael Bras; Albert Carnesale; Shirley

    Energy Savers [EERE]

    3 Summary Minutes of the U.S. Department of Energy (DOE) Secretary of Energy Advisory Board Public Meeting Committee Members: John Deutch, Co-Chair; Persis Drell, Co-Chair; Rafael Bras; Albert Carnesale; Shirley Ann Jackson; Deborah Jin; Steven Koonin; Arun Majumdar; Michael McQuade; Richard Meserve; Cherry Murray; Dan Reicher; Carmichael Roberts; Martha Schlicker; Ram Shenoy; Dan Yergin Date and Time: 8:30 AM - 12:15 PM, June 20, 2014 Location: Argonne National Laboratory, TSC Conference

  2. Acoustic Telemetry Evaluation of Juvenile Salmonid Passage and Survival at John Day Dam with Emphasis on the Prototype Surface Flow Outlet, 2008

    SciTech Connect (OSTI)

    Weiland, Mark A.; Ploskey, Gene R.; Hughes, James S.; Deng, Zhiqun; Fu, Tao; Monter, Tyrell J.; Johnson, Gary E.; Khan, Fenton; Wilberding, Matthew C.; Cushing, Aaron W.; Zimmerman, Shon A.; Faber, Derrek M.; Durham, Robin E.; Townsend, Richard L.; Skalski, John R.; Kim, Jina; Fischer, Eric S.; Meyer, Matthew M.

    2009-12-01

    The main purpose of the study was to evaluate the performance of Top Spill Weirs installed at two spillbays at John Day Dam and evaluate the effectiveness of these surface flow outlets at attracting juvenile salmon away from the powerhouse and reducing turbine passage. The Juvenile Salmonid Acoustic Telemetry System (JSATS) was used to estimate survival of juvenile salmonids passing the dam and also for calculating performance metrics used to evaluate the efficiency and effectiveness of the dam at passing juvenile salmonids.

  3. Microsoft PowerPoint - 4_JOHN_BALLARD_MARY_MCCDONNELL_NRC DOE REporting requirements_presentations_4-29-14.ppt [Compatibility M

    National Nuclear Security Administration (NNSA)

    Overview of DOE and NRC Reporting to NMMSS Similarities, Differences, and Challenges John Ballard, DOE Reconciliation Mary McConnell, NRC Reconciliation LINK Technologies Reporting to NMMSS Regulatory Compliance DOE Reporting Requirements NRC Reporting Requirements Resources 2 Regulatory Compliance DOE regulatory questions? - Contact Pete Dessaules DOE NMMSS Program Manager 301-903-4525 pete.dessaules@nnsa.doe.gov NRC regulatory questions? - Contact Brian Horn NRC NMMSS Program Manager

  4. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

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

    4 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory M Jensen MJ Bartholomew S Giangrande March 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or

  5. Validation of Global Weather Forecast and Climate Models Over the North

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

    Slope of Alaska Validation of Global Weather Forecast and Climate Models Over the North Slope of Alaska Xie, Shaocheng Lawrence Livermore National Laboratory Klein, Stephen Lawrence Livermore National Laboratory Boyle, Jim Lawrence Livermore National Laboratory Fiorino, Michael DOE/Lawrence Livermore National Laboratory Hnilo, Justin DOE/Lawrence Livermore National Laboratory Phillips, Thomas PCMDI/LLNL Potter, Gerald Lawrence Livermore National Laboratory Beljaars, Anton ECMWF Category:

  6. Are there Gains from Pooling Real-Time Oil Price Forecasts?

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

    Are there Gains from Pooling Real- Time Oil Price Forecasts? Christiane Baumeister, Bank of Canada Lutz Kilian, University of Michigan Thomas K. Lee, U.S. Energy Information Administration February 12, 2014 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy

  7. doe sc arm 16 025 The Radar Wind Profiler for Cloud Forecasting at BNL_formatted

    Office of Scientific and Technical Information (OSTI)

    5 Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report MP Jensen SE Giangrande MJ Bartholomew April 2016 CLIMATE RESEARCH FACILITY DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any

  8. Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting

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

    Carlberg, Kevin; Ray, Jaideep; van Bloemen Waanders, Bart

    2015-02-14

    Implicit numerical integration of nonlinear ODEs requires solving a system of nonlinear algebraic equations at each time step. Each of these systems is often solved by a Newton-like method, which incurs a sequence of linear-system solves. Most model-reduction techniques for nonlinear ODEs exploit knowledge of system's spatial behavior to reduce the computational complexity of each linear-system solve. However, the number of linear-system solves for the reduced-order simulation often remains roughly the same as that for the full-order simulation. We propose exploiting knowledge of the model's temporal behavior to (1) forecast the unknown variable of the reduced-order system of nonlinear equationsmore » at future time steps, and (2) use this forecast as an initial guess for the Newton-like solver during the reduced-order-model simulation. To compute the forecast, we propose using the Gappy POD technique. As a result, the goal is to generate an accurate initial guess so that the Newton solver requires many fewer iterations to converge, thereby decreasing the number of linear-system solves in the reduced-order-model simulation.« less

  9. National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment

    SciTech Connect (OSTI)

    Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

    1982-03-31

    The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

  10. Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay

    SciTech Connect (OSTI)

    Jacobs, John M.; Rhodes, M.; Brown, C. W.; Hood, Raleigh R.; Leight, A.; Long, Wen; Wood, R.

    2014-11-01

    The aim is to construct statistical models to predict the presence, abundance and potential virulence of Vibrio vulnificus in surface waters. A variety of statistical techniques were used in concert to identify water quality parameters associated with V. vulnificus presence, abundance and virulence markers in the interest of developing strong predictive models for use in regional oceanographic modeling systems. A suite of models are provided to represent the best model fit and alternatives using environmental variables that allow them to be put to immediate use in current ecological forecasting efforts. Conclusions: Environmental parameters such as temperature, salinity and turbidity are capable of accurately predicting abundance and distribution of V. vulnificus in Chesapeake Bay. Forcing these empirical models with output from ocean modeling systems allows for spatially explicit forecasts for up to 48 h in the future. This study uses one of the largest data sets compiled to model Vibrio in an estuary, enhances our understanding of environmental correlates with abundance, distribution and presence of potentially virulent strains and offers a method to forecast these pathogens that may be replicated in other regions.

  11. Forecasting the Magnitude of Sustainable Biofeedstock Supplies: the Challenges and the Rewards

    SciTech Connect (OSTI)

    Graham, Robin Lambert

    2007-01-01

    Forecasting the magnitude of sustainable biofeedstock supplies is challenging because of 1) the myriad of potential feedstock types and their management 2) the need to account for the spatial variation of both the supplies and their environmental and economic consequences, and 3) the inherent challenges of optimizing across economic and environmental considerations. Over the last two decades U.S. biomass forecasts have become increasingly complex and sensitive to environmental and economic considerations. More model development and research is needed however, to capture the landscape and regional tradeoffs of differing biofeedstock supplies especially with regards water quality concerns and wildlife/biodiversity. Forecasts need to be done in the context of the direction of change and what the probable land use and attendant environmental and economic outcomes would be if biofeedstocks were not being produced. To evaluate sustainability, process-oriented models need to be coupled or used to inform sector models and more work needs to be done on developing environmental metrics that are useful for evaluating economic and environmental tradeoffs. These challenges are exciting and worthwhile as they will enable the bioenergy industry to capture environmental and social benefits of biofeedstock production and reduce risks.

  12. Why Models Don%3CU%2B2019%3Et Forecast.

    SciTech Connect (OSTI)

    McNamara, Laura A.

    2010-08-01

    The title of this paper, Why Models Don't Forecast, has a deceptively simple answer: models don't forecast because people forecast. Yet this statement has significant implications for computational social modeling and simulation in national security decision making. Specifically, it points to the need for robust approaches to the problem of how people and organizations develop, deploy, and use computational modeling and simulation technologies. In the next twenty or so pages, I argue that the challenge of evaluating computational social modeling and simulation technologies extends far beyond verification and validation, and should include the relationship between a simulation technology and the people and organizations using it. This challenge of evaluation is not just one of usability and usefulness for technologies, but extends to the assessment of how new modeling and simulation technologies shape human and organizational judgment. The robust and systematic evaluation of organizational decision making processes, and the role of computational modeling and simulation technologies therein, is a critical problem for the organizations who promote, fund, develop, and seek to use computational social science tools, methods, and techniques in high-consequence decision making.

  13. Evaluation of Forecasted Southeast Pacific Stratocumulus in the NCAR, GFDL and ECMWF Models

    SciTech Connect (OSTI)

    Hannay, C; Williamson, D L; Hack, J J; Kiehl, J T; Olson, J G; Klein, S A; Bretherton, C S; K?hler, M

    2008-01-24

    We examine forecasts of Southeast Pacific stratocumulus at 20S and 85W during the East Pacific Investigation of Climate (EPIC) cruise of October 2001 with the ECMWF model, the Atmospheric Model (AM) from GFDL, the Community Atmosphere Model (CAM) from NCAR, and the CAM with a revised atmospheric boundary layer formulation from the University of Washington (CAM-UW). The forecasts are initialized from ECMWF analyses and each model is run for 3 days to determine the differences with the EPIC field data. Observations during the EPIC cruise show a stable and well-mixed boundary layer under a sharp inversion. The inversion height and the cloud layer have a strong and regular diurnal cycle. A key problem common to the four models is that the forecasted planetary boundary layer (PBL) height is too low when compared to EPIC observations. All the models produce a strong diurnal cycle in the Liquid Water Path (LWP) but there are large differences in the amplitude and the phase compared to the EPIC observations. This, in turn, affects the radiative fluxes at the surface. There is a large spread in the surface energy budget terms amongst the models and large discrepancies with observational estimates. Single Column Model (SCM) experiments with the CAM show that the vertical pressure velocity has a large impact on the PBL height and LWP. Both the amplitude of the vertical pressure velocity field and its vertical structure play a significant role in the collapse or the maintenance of the PBL.

  14. Turbulence-driven coronal heating and improvements to empirical forecasting of the solar wind

    SciTech Connect (OSTI)

    Woolsey, Lauren N.; Cranmer, Steven R.

    2014-06-01

    Forecasting models of the solar wind often rely on simple parameterizations of the magnetic field that ignore the effects of the full magnetic field geometry. In this paper, we present the results of two solar wind prediction models that consider the full magnetic field profile and include the effects of Alfvn waves on coronal heating and wind acceleration. The one-dimensional magnetohydrodynamic code ZEPHYR self-consistently finds solar wind solutions without the need for empirical heating functions. Another one-dimensional code, introduced in this paper (The Efficient Modified-Parker-Equation-Solving Tool, TEMPEST), can act as a smaller, stand-alone code for use in forecasting pipelines. TEMPEST is written in Python and will become a publicly available library of functions that is easy to adapt and expand. We discuss important relations between the magnetic field profile and properties of the solar wind that can be used to independently validate prediction models. ZEPHYR provides the foundation and calibration for TEMPEST, and ultimately we will use these models to predict observations and explain space weather created by the bulk solar wind. We are able to reproduce with both models the general anticorrelation seen in comparisons of observed wind speed at 1 AU and the flux tube expansion factor. There is significantly less spread than comparing the results of the two models than between ZEPHYR and a traditional flux tube expansion relation. We suggest that the new code, TEMPEST, will become a valuable tool in the forecasting of space weather.

  15. Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting

    SciTech Connect (OSTI)

    Carlberg, Kevin; Ray, Jaideep; van Bloemen Waanders, Bart

    2015-02-14

    Implicit numerical integration of nonlinear ODEs requires solving a system of nonlinear algebraic equations at each time step. Each of these systems is often solved by a Newton-like method, which incurs a sequence of linear-system solves. Most model-reduction techniques for nonlinear ODEs exploit knowledge of system's spatial behavior to reduce the computational complexity of each linear-system solve. However, the number of linear-system solves for the reduced-order simulation often remains roughly the same as that for the full-order simulation. We propose exploiting knowledge of the model's temporal behavior to (1) forecast the unknown variable of the reduced-order system of nonlinear equations at future time steps, and (2) use this forecast as an initial guess for the Newton-like solver during the reduced-order-model simulation. To compute the forecast, we propose using the Gappy POD technique. As a result, the goal is to generate an accurate initial guess so that the Newton solver requires many fewer iterations to converge, thereby decreasing the number of linear-system solves in the reduced-order-model simulation.

  16. FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2

    SciTech Connect (OSTI)

    Templeton, K.J.

    1996-05-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

  17. Sensor Fish Characterization of Fish Passage Conditions through John Day Dam Spillbay 20 with a Modified Flow Deflector

    SciTech Connect (OSTI)

    Duncan, Joanne P.

    2011-04-29

    Fish passage conditions over a modified deflector in Spillbay 20 at John Day Dam were evaluated by Pacific Northwest National Laboratory for the U.S. Army Corps of Engineers (USACE), Portland District, using Sensor Fish devices. The objectives of the study were to describe and compare passage exposure conditions at two spill discharges, 2.4 and 4.0 thousand cubic feet per second (kcfs), identifying potential fish injury regions within the routes, and to evaluate a low-tailwater condition at the 2.4-kcfs discharge. The study was performed in April 2010 concurrent with HI-Z balloon-tag studies by Normandeau Associates, Inc. Sensor Fish data were analyzed to estimate 1) exposure conditions, particularly exposure to severe collision and shear events; 2) differences in passage conditions between treatments; and 3) relationships to live-fish injury and mortality data estimates. Nearly all Sensor Fish significant events were classified as collisions; the most severe occurred at the gate, on the spillbay chute, or at the deflector transition. Collisions in the gate region were observed only during the 2.4-kcfs discharge, when the tainter gate was open 1.2 ft. One shear event was observed during the evaluation, occurring at the deflector transition during passage at the 2.4-kcfs discharge at low tailwater. Flow quality, computed using the Sensor Fish turbulence index, was best for passage at the low-flow low-tailwater condition as well. The worst flow quality was observed for the 4.0-kcfs test condition. Contrasting the passage exposure conditions, the 2.4-kcfs low-tailwater treatment would be most deleterious to fish survival and well-being.

  18. Mr. John E. Kieling

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

    DEC 0 3 2015 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87505-6303 Certified MailReturn Receipt Subject: Transmittal of the Final Audit...

  19. Mr. John E. Kieling

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

    NOV 2 5 2015 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87505-6303 Subject: Final Audit Report for the Argonne National Laboratory...

  20. Mr. John E. Kieling

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

    Departm ent of Energy Carlsbad Field Office P. 0 . Box 3090 Carlsbad, New Mexico 88221 APR 2 2 2015 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa...

  1. Mr. John E. Kieling

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

    hazardous substance; 3) quantity released; 4) time, location and duration of release; 5) media of release; 6) health risks and medical advice; 7) proper precautions (e.g.,...

  2. Mr. John Kieling

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

    audit of remote-handled Summary Category Group S5000 debris waste, performed August 2-4, 2011. I certify under penalty of law that this document and all enclosures were prepared...

  3. Mr. John Kieling

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

    Pilot Plant Hazardous Waste Facility Permit. The audit was conducted July 13-15, 2011 . The report contains the results of the certification audit performed for...

  4. Chairman John Deutch

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

    4 Rush Holt Member of Congress Member of Congress Mark Pocan Member of Congress Carol Shea-Porter Member of Congress Niki Tsongas Member of Congress TimR Member of Congress 5...

  5. John C. Hemminger - JCAP

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

    c. hemminger Principal Investigator Email: jchemmin@uci.edu Dr. Hemminger's research interests include experimental and computer simulation studies of the chemistry and physics of surfaces and interfaces. In JCAP, Dr. Hemminger's research will focus on the understanding of the CO2RR mechanisms using surface science experimentation. Recent Publications Soriaga, M. P. et al. Electrochemical surface science twenty years later: Expeditions into the electrocatalysis of reactions at the core of

  6. John Gregoire - JCAP

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

    gregoire Principal Investigator and Research Thrust Coordinator Email: gregoire@caltech.edu Dr. Gregoire's research interests include: high-throughput materials discovery, combinatorial materials synthesis, high-throughput electrochemistry, connecting materials theory and experiments, synchrotron characterization, electrochemical stability screening, semiconductor-metal interfaces, mathematics of compositions spaces and phase diagrams, applications of machine learning in materials science,

  7. Mr. John R. Henderson

    Office of Legacy Management (LM)

    Instructions: Comments: Date Commentor Comment 07301998 GOVANS Pkg received from Dave Math%, forwarding to EM-40 for conclsigriature. 07271998 GOVANS PKG FORWARDED TO DAVE ...

  8. Mr. John E. Kieling

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

    NOV 0 3 2014 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 Mr. Tom Blaine, Division Director Environmental Health Division...

  9. Mr. John Kieling

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

    Acting Chief Haza rdous Waste Bureau Departme n t of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad , New Mexico 88221 DEC 1 6 2011 New Mexico Environment Department 2905...

  10. Mr. John Kieling

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

    Bureau Chief Hazardous Waste Bureau Department of Energy Carlsbad Field Office POBox 3090 Carlsbad , New Mexico 8822 1 JUL 3 a 2012 New Mexico Environment Department 2905 Rodeo...

  11. Meet John Heebner

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

    in New Jersey, the son of a Peruvian mother and American father. You got your Ph.D. in Optics and M.S. in Optical Engineering in New York, at the University of Rochester. Do you...

  12. Mr. John E. Kieling

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

    ... reaction products increased the internal pressure in the drum until a ... Given this fact, an upper bound for the heat of combustion of this waste stream has been estimated from ...

  13. Mr. John E. Kieling

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

    Departmen t of Energy Carlsbad Field Office P. 0 . Box 3090 Carlsbad, New Mexico 88221 JUN 2 9 201 5 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Subject: Class 1 Permit Modification Notification to the Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Dear Mr. Kieling : Enclosed is the following Class 1 Permit Modification Notification : * Change in the Department of Energy, Carlsbad Field Office

  14. Mr. John E. Kieling

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

    7 2014 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Subject: Notification of Class 1 Permit Modification to the Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Dear Mr. Kieling: Enclosed are five Class 1 Permit Modification Notifications entitled: * Contingency Plan Update- Equipment used for Internal Communications * Contingency Plan Update- Editorial Change in Attachment D, Section D-4d(10) *

  15. Mr. John E. Kieling

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

    . Box 3090 Carlsbad , New Mexico 88221 May 6, 2014 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 Mr. Tom Blaine, Division Director Environmental Health Division Harold Runnels Building 1190 Saint Francis Drive, PO Box 5496 Santa Fe, NM 87502-5469 Subject: Request for Additional Extension of Storage Time at the Waste Isolation Pilot Plant Facility, Hazardous Waste Facility Permit, Number NM4890139088-TSDF Dear Mr. Kieling and Mr. Blaine: In

  16. Mr. John E. Kieling

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

    . Box 3090 Carlsbad, New Mexico 88221 JUL 3 2014 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 Mr. Tom Blaine, Division Director Environmental Health Division Harold Runnels Building 1190 Saint Francis Drive, Room 4050 Santa Fe, NM 87502-5469 Subject: Request for Additional Extension of Storage Time at the Waste Isolation Pilot Plant Facility, Hazardous Waste Facility Permit. Number NM4890139088-TSDF Reference: New Mexico Environment Department

  17. Mr. John E. Kieling

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

    Ca rlsbad Field Office P. O. Box 3090 Carlsbad, New Mexico 88221 JUN 1 7 2013 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe , New Mexico 87505-6303 Subject: Notification of Planned Physical Alteration to the Permitted Faci lity, Hazardous Waste Facility Permit, No: NM4890139088-TSDF Dear Mr. Kieling: The purpose of this letter is to notify you of a planned physical alteration to the permitted facility in accordance with the Waste Isolation PHot Plant (WI??)

  18. Mr. John E. Kieling

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

    Departm ent of Energy Carlsbad Field Office P. 0 . Box 3090 Carlsbad, New Mexico 88221 APR 2 2 2015 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87505-6303 Subject: Notification of Planned Change to the Permitted Facility, Hazardous Waste Facility Permit, Number: NM4890139088-TSDF Dear Mr. Kieling : The purpose of this letter is to notify you of a planned physical alteration to the permitted facility in accordance with Permit Part 1, Section 1. 7.11

  19. Mr. John E. Kieling

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

    Carlsbad , New Mexico 88221 MAY 2 9 2015 Ms. Kathryn Roberts , Director Resource Protection Division New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 New Mexico Environment Department Harold Runnels Building 1190 Saint Francis Drive, Room 4050 Santa Fe, NM 87502-5469 Subject: Submittal of the Waste Isolation Pilot Plant Nitrate Salt Bearing Waste Container Isolation Plan, Revision 2 Dear Mr. Kieling and Ms. Roberts: The purpose of this letter is to

  20. Mr. John E. Kieling

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

    . Box 3090 Carlsbad, New Mexico 88221 JUL 0 6 2015 New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87505-6303 Subject: Interim and Final Audit Report for Hanford Site Central Characterization Program Recertification Audit A- 15-19 Dear Mr. Kieling : In accordance with your letter dated March 2, 2012, instructing that the Department of Energy must continue to perform annual audits of Hanford Central Characterization Program waste characterization activities,