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Sample records for river forecast center

  1. River Valley Technology Center | Open Energy Information

    Open Energy Info (EERE)

    Valley Technology Center Jump to: navigation, search Name: River Valley Technology Center Place: United States Sector: Services Product: General Financial & Legal Services (...

  2. Conference Center | Savannah River Ecology Laboratory

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

    small conference room Small conference room The University of Georgia - Savannah River Ecology Laboratory Conference Center is a 5,000-square-foot multi-purpose facility located on...

  3. SAVANNAH RIVER TECHNOLOGY CENTER MONTHLY REPORT AUGUST 1992

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1999-06-21

    'This monthly report summarizes Programs and Accomplishments of the Savannah River Technology Center in support of activities at the Savannah River Site. The following categories are addressed: Reactor, Tritium, Separations, Environmental, Waste Management, General, and Items of Interest.'

  4. Savannah River Technology Center monthly report, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-01

    This is the monthly progress report for the Savannah River Technology Center, which covers the following areas of interest, Tritium, Separation processes, Environmental Issues, and Waste Management.

  5. Deep River Center, Connecticut: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Deep River Center, Connecticut: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.3729131, -72.4435674 Show Map Loading map......

  6. Savannah River Technology Center. Monthly report

    SciTech Connect (OSTI)

    Not Available

    1993-01-01

    This is a monthly progress report from the Savannah River Laboratory for the month of January 1993. It has sections with work in the areas of reactor safety, tritium processes and absorption, separations programs and wastes, environmental concerns and responses, waste management practices, and general concerns.

  7. Savannah River Technology Center. Monthly report

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    This document contains information about the research programs being conducted at the Savannah River Plant. Topics of discussion include: thermal cycling absorption process, development of new alloys, ion exchange, oxalate precipitation, calcination, environmental research, remedial action, ecological risk assessments, chemical analysis of salt cakes, natural phenomena hazards assessment, and sampling of soils and groundwater.

  8. Savannah River Technology Center monthly report

    SciTech Connect (OSTI)

    Not Available

    1992-10-01

    This document contains many small reports from personnel at the technology center under the umbrella topics of reactors, tritium, separations, environment, waste management, and general engineering. Progress and accomplishments are given.

  9. Savannah River Technology Center Quarterly Report - July, Aug., and Sept., 1997

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1998-10-16

    This monthly report summarizes programs and accomplishments of the Savannah River Technology Center in support of activities at the Savannah River Site.

  10. Savannah River Technology Center. Monthly report, May 1993

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    This report covers the progress and accomplishments made at the Savannah River Technology Center for the month of May 1993. Progress is reported for projects in the following areas: reactors, tritium, separations, environmental, waste management, and general. General projects are: an eight week tutorial of the Los Alamos National Laboratory developed Monte Carlo Neutron Photon (MCNP) code; development of materials and fabrication technologies for the spallation and tritium targets for the accelerator production of tritium; and a program to develop welding methods to repair stainless steel containing helium.

  11. INEOS-New Planet: Indian River Bioenergy Center | Department of Energy

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

    INEOS-New Planet: Indian River Bioenergy Center INEOS-New Planet: Indian River Bioenergy Center INEOS infographic Waste Biomass Photo via iStock by Getty Images. The feedstock-flexible processing technology at Indian River BioEnergy Center takes advantage of the abundant local supply of agricultural and yard waste. Municipal trucks delivering these wastes pay a tipping fee to the biorefinery, while local residents can drop off yard waste at no charge. Diverting this organic material from the

  12. Savannah River Technology Center. Quarterly report, July 1, 1996--September 30, 1996

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1997-07-01

    This report provides information and progress from the Savannah River Technology Center. Topics include tritium activities, separations, environmental, and waste management activities.

  13. 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.

  14. Forecasting changes in water quality in rivers associated with growing biofuels in the Arkansas-White-Red river basin, USA

    SciTech Connect (OSTI)

    Jager, Yetta; Brandt, Craig C; Baskaran, Latha Malar; Srinivasan, Raghavan; Turhollow Jr, Anthony F; Schweizer, Peter E

    2015-01-01

    The mid-section of the Arkansas-White-Red (AWR) river basin near the 100th parallel is particularly promising for sustainable biomass production using cellulosic perennial crops and residues. Along this longitudinal band, precipitation becomes limiting to competing crops that require irrigation from an increasingly depleted groundwater aquifer. In addition, the deep-rooted perennial, switchgrass, produces modest-to-high yields in this region with minimal inputs and could compete against alternative crops and land uses at relatively low cost. Previous studies have also suggested that switchgrass and other perennial feedstocks offer environmentally benign alternatives to corn and corn stover. However, water quality implications remain a significant concern for conversion of marginal lands to bioenergy production because excess nutrients produced by agriculture for food or for energy contribute to eutrophication in the dead-zone in the Gulf of Mexico. This study addresses water quality implications for the AWR river basin. We used the SWAT model to compare water quality in rivers draining a baseline, pre-cellulosic-bioenergy and post-cellulosic-bioenergy landscapes for 2022 and 2030. Simulated water quality responses varied across the region, but with a net tendency toward decreased amounts of nutrient and sediment, particularly in subbasins with large areas of bioenergy crops in 2030 future scenarios. We conclude that water quality is one aspect of sustainability for which cellulosic bioenergy production in this region holds promise.

  15. Savannah River Technology Center (SRTC) Designated as a National Laboratory

    Office of Energy Efficiency and Renewable Energy (EERE)

    In 2004, the Secretary of Energy designated SRTC as a national laboratory based on its contributions and important role it has played in both energy and defense programs of the United States. The lab was also renamed the Savannah River National Laboratory (SRNL).

  16. Savannah River Technology Center monthly report, September 1992

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1992-09-01

    This is a monthly progress report from the Savannah River Laboratory for the month of September, 1992. It has sections dealing with work in the broad areas of reactor safety, tritium processes and absorption, separations programs and wastes, environmental concerns and responses, waste management practices, and general concerns.

  17. Forecasting Flu

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

    Forecasting Flu March 6, 2016 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 Valle and her team from Los Alamos National Laboratory have developed a global disease-forecasting system that will improve the way we respond to epidemics. Using this model, individuals and public health officials can monitor

  18. Available decontamination and decommissioning capabilities at the Savannah River Technology Center

    SciTech Connect (OSTI)

    Polizzi, L.M.; Norkus, J.K.; Paik, I.K.; Wooten, L.A.

    1992-08-19

    The Safety Analysis and Engineering Services Group has performed a survey of the Savannah River Technology Center (SRTC) technical capabilities, skills, and experience in Decontamination and Decommissioning (D D) activities. The goal of this survey is to enhance the integration of the SRTC capabilities with the technical needs of the Environmental Restoration Department D D program and the DOE Office of Technology Development through the Integrated Demonstration Program. This survey has identified technical capabilities, skills, and experience in the following D D areas: Characterization, Decontamination, Dismantlement, Material Disposal, Remote Systems, and support on Safety Technology for D D. This review demonstrates the depth and wealth of technical capability resident in the SRTC in relation to these activities, and the unique qualifications of the SRTC to supply technical support in the area of DOE facility D D. Additional details on specific technologies and applications to D D will be made available on request.

  19. Available decontamination and decommissioning capabilities at the Savannah River Technology Center

    SciTech Connect (OSTI)

    Polizzi, L.M.; Norkus, J.K.; Paik, I.K.; Wooten, L.A.

    1992-08-19

    The Safety Analysis and Engineering Services Group has performed a survey of the Savannah River Technology Center (SRTC) technical capabilities, skills, and experience in Decontamination and Decommissioning (D&D) activities. The goal of this survey is to enhance the integration of the SRTC capabilities with the technical needs of the Environmental Restoration Department D&D program and the DOE Office of Technology Development through the Integrated Demonstration Program. This survey has identified technical capabilities, skills, and experience in the following D&D areas: Characterization, Decontamination, Dismantlement, Material Disposal, Remote Systems, and support on Safety Technology for D&D. This review demonstrates the depth and wealth of technical capability resident in the SRTC in relation to these activities, and the unique qualifications of the SRTC to supply technical support in the area of DOE facility D&D. Additional details on specific technologies and applications to D&D will be made available on request.

  20. RACORO Forecasting

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

    Hartsock CIMMS, University of Oklahoma  ARM AAF Wiki page  Weather Briefings  Observed Weather  Cloud forecasting models  BUFKIT forecast soundings + guidance from Norman NWS enhanced pages and discussions NAM-WRF updated twice/day (12Z and 00Z) Forecast out to 84-hours RUC (updated every 3 hours) Operational RUC forecast only goes out 12 hours (developmental out 24 hours)

  1. Solar Forecast Improvement Project | Department of Energy

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

    Solar Forecast Improvement Project Solar Forecast Improvement Project NOAA.png For the Solar Forecast Improvement Project (SFIP), the Earth System Research Laboratory (ESRL) is partnering with the National Center for Atmospheric Research (NCAR) and IBM to develop more accurate methods for solar forecasts using their state-of-the-art weather models. APPROACH NOAA solar.png SFIP has three main goals: 1) to develop solar forecasting metrics tailored to the utility sector; 2) to improve solar

  2. CENTER

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

    Science and people highlights from the Lujan Neutron Scattering Center at LANSCE CENTER SCIENCE & PEOPLE the Lujan April 2014 LA-UR-14-22812 I N S I D E 2 Seeking design rules for efficient lighting sources 3 Rate-dependent deformation mechanisms in beryllium 4 Improved understanding of a semiconductor used in infrared detectors 6 Mike Fitzsimmons elected NNSA Fellow 7 Pressure tuning: a new approach for making zero thermal expansion materials 8 Neutron scattering enables structural

  3. Acquisition Forecast

    Broader source: Energy.gov [DOE]

    It is the policy of the Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) to provide timely information to the public regarding DOE/NNSA’s forecast of future prime contracting opportunities and subcontracting opportunities which are available via the Department’s major site and facilities management contractors.

  4. USE OF AN EQUILIBRIUM MODEL TO FORECAST DISSOLUTION EFFECTIVENESS, SAFETY IMPACTS, AND DOWNSTREAM PROCESSABILITY FROM OXALIC ACID AIDED SLUDGE REMOVAL IN SAVANNAH RIVER SITE HIGH LEVEL WASTE TANKS 1-15

    SciTech Connect (OSTI)

    KETUSKY, EDWARD

    2005-10-31

    This thesis details a graduate research effort written to fulfill the Magister of Technologiae in Chemical Engineering requirements at the University of South Africa. The research evaluates the ability of equilibrium based software to forecast dissolution, evaluate safety impacts, and determine downstream processability changes associated with using oxalic acid solutions to dissolve sludge heels in Savannah River Site High Level Waste (HLW) Tanks 1-15. First, a dissolution model is constructed and validated. Coupled with a model, a material balance determines the fate of hypothetical worst-case sludge in the treatment and neutralization tanks during each chemical adjustment. Although sludge is dissolved, after neutralization more is created within HLW. An energy balance determines overpressurization and overheating to be unlikely. Corrosion induced hydrogen may overwhelm the purge ventilation. Limiting the heel volume treated/acid added and processing the solids through vitrification is preferred and should not significantly increase the number of glass canisters.

  5. 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...

  6. 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...

  7. NREL: Transmission Grid Integration - Forecasting

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

    generation output by using forecasts that incorporate meteorological data to predict production. Such systems typically provide forecasts at a number of timescales, ranging from...

  8. LED Lighting Forecast | Department of Energy

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

    Publications Market Studies LED Lighting Forecast LED Lighting Forecast The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications ...

  9. 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.

  10. The forecast calls for flu

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

    Laboratory found a way to forecast the flu season and even next week's sickness trends. ... Laboratory found a way to forecast the flu season and even next week's sickness trends. ...

  11. Solar Forecasting | Department of Energy

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

    Systems Integration » Solar Forecasting Solar Forecasting 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. solar energy plants. Part of the SunShot Systems Integration efforts, the Solar Forecasting projects will allow power system operators to integrate more solar energy into the electricity grid, and ensure the economic and reliable delivery of

  12. probabilistic energy production forecasts

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

    probabilistic energy production forecasts - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management

  13. 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)

  14. 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:...

  15. 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.

  16. Using Wikipedia to forecast diseases

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

    based on today's forecast." Del Valle and her team were able to successfully monitor influenza in the United States, Poland, Japan and Thailand, dengue fever in Brazil and...

  17. 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

  18. 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.

  19. 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:...

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

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

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

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

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

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

  2. Thirty-Year Solid Waste Generation Maximum and Minimum Forecast for SRS

    SciTech Connect (OSTI)

    Thomas, L.C.

    1994-10-01

    This report is the third phase (Phase III) of the Thirty-Year Solid Waste Generation Forecast for Facilities at the Savannah River Site (SRS). Phase I of the forecast, Thirty-Year Solid Waste Generation Forecast for Facilities at SRS, forecasts the yearly quantities of low-level waste (LLW), hazardous waste, mixed waste, and transuranic (TRU) wastes generated over the next 30 years by operations, decontamination and decommissioning and environmental restoration (ER) activities at the Savannah River Site. The Phase II report, Thirty-Year Solid Waste Generation Forecast by Treatability Group (U), provides a 30-year forecast by waste treatability group for operations, decontamination and decommissioning, and ER activities. In addition, a 30-year forecast by waste stream has been provided for operations in Appendix A of the Phase II report. The solid wastes stored or generated at SRS must be treated and disposed of in accordance with federal, state, and local laws and regulations. To evaluate, select, and justify the use of promising treatment technologies and to evaluate the potential impact to the environment, the generic waste categories described in the Phase I report were divided into smaller classifications with similar physical, chemical, and radiological characteristics. These smaller classifications, defined within the Phase II report as treatability groups, can then be used in the Waste Management Environmental Impact Statement process to evaluate treatment options. The waste generation forecasts in the Phase II report includes existing waste inventories. Existing waste inventories, which include waste streams from continuing operations and stored wastes from discontinued operations, were not included in the Phase I report. Maximum and minimum forecasts serve as upper and lower boundaries for waste generation. This report provides the maximum and minimum forecast by waste treatability group for operation, decontamination and decommissioning, and ER activities.

  3. 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

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. Forecasting Water Quality & Biodiversity

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

    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability Platform Review Principle Investigator: Dr. Henriette I. Jager Organization: Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information 2015 DOE Bioenergy Technologies Office (BETO) Project Peer Review Goal Statement Addresses the following MYPP BETO goals:  Advance scientific methods and models for measuring and understanding

  9. 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

  10. New Climate Research Centers Forecast Changes and Challenges

    Broader source: Energy.gov [DOE]

    Two new observation stations -– in Alaska and the Azore islands -– should reduce uncertainties and improve global climate models.

  11. Savannah River Ecology Laboratory

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

    image of lab building SREL Home Faculty and Scientists Research Technical Reports Assessment of Radionuclide Monitoring in the CSRA Savannah River NERP Research Opportunities Field Sites / Data Research Facilities Low Dose Irradiation Facility Tritium Irrigation Facility Microsatellite Development Education Graduate Undergraduate Radioecology Curriculum Outreach Outreach Program SREL Herpetology Information for Visitors SREL Conference Center Maps and Directions Airports and Lodging Security

  12. Supply Forecast and Analysis (SFA)

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

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

  13. 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

  14. UPF Forecast | Y-12 National Security Complex

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

    UPF Forecast UPF Forecast UPF Procurement provides the following forecast of subcontracting opportunities. Keep in mind that these requirements may be revised or cancelled, depending on program budget funding or departmental needs. If you have questions or would like to express an interest in any of the opportunities listed below, contact UPF Procurement. Descriptiona Methodb NAICS Est. Dollar Range RFP release/ Award datec Buyer/ Phone Commodities Equipment Rental FOC 238910 TBD 3Q FY15/ 3Q

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

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

    Influencing Technological Progress in Solar Energy Project Profile: Forecasting and ... energy technologies based on estimates of future rates of progress and adoption. ...

  16. NREL: Resource Assessment and Forecasting Home Page

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

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

  17. 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...

  18. Stellar Astrophysics Requirements NERSC Forecast

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

    (Copernicus Center, Warsaw). Computing cycles: DOE NERSC. 14 May 26, 2011 FLASHWDM Parallel Performance strong peak weak 15 May 26, 2011 Example 2: Core-Collapse SN...

  19. Savannah River National Laboratory Meets with Historically Black...

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

    State University students William Dumpson, left, and Alejandra Chirino, center, talk with Savannah River National Laboratory Director Dr. Terry Michalske at a recent...

  20. 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.

  1. Savannah River Technology Center monthly report

    SciTech Connect (OSTI)

    1995-06-01

    This report for the month of June 1995 presents information on the typical topics of tritium processing, environmental studies, waste management issues, and miscellaneous projects. The document consists many small reports by individuals or small groups.

  2. Solar Energy Resource Center | Department of Energy

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

    Resource Center Solar Energy Resource Center Solar Mapping Resources Featured Article There's a Map for That National laboratories and private companies have developed a number of tools to forecast the solar potential of homes and businesses. Learn more Icon of a person giving a presentation. Educating Consumers Tools designed to meet individual consumer needs Icon of a trending chart. Market Analysis State- and local-level challenges and solutions for establishing a thriving solar market Icon

  3. Center Organization | Center for Energy Efficient Materials

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

    Center Organization People People Scientific Advisory Board Center Organization

  4. Emery Station Operations Center

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

    Emery Station Operations Center

  5. U. S. Energy Freedom Center - SRSCRO

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

    freedom U. S. Energy Freedom Center(tm) The SRSCRO has formed a working group with Savannah River National Laboratory (SRNL), Savannah River Nuclear Solutions (SRNS), DOE, community leaders, and the private sector to forge a shared vision for a regional energy park centered on SRS but extending into the surrounding SRSCRO Region. This vision redeploys the underutilized human and physical assets of the SRS and the surrounding SRSCRO Region to create by 2035 a complex network of hybrid energy

  6. EIA lowers forecast for summer gasoline prices

    Gasoline and Diesel Fuel Update (EIA)

    EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be lower this summer than previously thought. The price for regular gasoline this summer is now expected to average $3.53 a gallon, according to the new monthly forecast from the U.S. Energy Information Administration. That's down 10 cents from last month's forecast and 16 cents cheaper than last summer. After reaching a weekly peak of $3.78 a gallon in late February, pump prices fell nine weeks in a row to $3.52

  7. Explosives Center

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

    Explosives Center Explosives Center at Los Alamos National Laboratory A world leader in energetic materials research, development and applications, the Explosives Center's unique capabilities enable a dynamic, flexible response to address multiple evolving mission needs. explosives experiment Comprehensive energetic materials development, characterization and testing are key strengths at Los Alamos National Laboratory. An experimental explosive is shown igniting during small-scale impact

  8. Text-Alternative Version LED Lighting Forecast

    Broader source: Energy.gov [DOE]

    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....

  9. 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...

  10. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. Stockbridge-Munsee Health & Wellness Center and Family Center Renewable Energy Feasibility Study

    Energy Savers [EERE]

    Stockbridge-Munsee Health & Wellness Center & Family Center Renewable Energy Feasibility Study. Stockbridge-Munsee Tribal Overview * A Band of Mohican Indians * From the Algonquin language group of Tribes. Papscanee Village Site Painting follows archeological reports & accurately depicts pre European village. Tribal History * The tribe lived along the Muh-he-con-ne-ok River, "where the waters are never still". (now the Hudson River) * The Stockbridge name came from the town

  16. Stockbridge-Munsee Health & Wellness Center and Family Center Renewable Energy Feasibility Study

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

    Stockbridge-Munsee Health & Wellness Center & Family Center Renewable Energy Feasibility Study. Stockbridge-Munsee Tribal Overview * A Band of Mohican Indians * From the Algonquin language group of Tribes. Papscanee Village Site Painting follows archeological reports & accurately depicts pre European village. Tribal History * The tribe lived along the Muh-he-con-ne-ok River, "where the waters are never still". (now the Hudson River) * The Stockbridge name came from the town

  17. Help Center

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

    Los Alamos National Laboratory Advanced Simulation and Computing Menu Events Partnerships Help Center Events Partnerships Help Center Videos Advanced Simulation and Computing Program » Help Center Computing Help Center Help hotlines, hours of operation, training, technical assistance, general information Los Alamos National Laboratory Hours: Monday through Friday, 8:00 a.m. - noon, 1:00-5:00 p.m. Mountain time Telephone: (505) 665-4444 option 3 Fax: (505) 665-6333 E-mail: consult@lanl.gov 24

  18. operations center

    National Nuclear Security Administration (NNSA)

    servers and other critical Operations Center equipment

  19. Independent air supply system filtered to protect against biological and radiological agents (99.7%).
  20. <...

  21. 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.

  22. 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.

  1. OFFICE OF RIVER PROTECTION

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

    1-6-60 Richland, Washington 99352 SEP 3 0 2013 13 -CPM-0262 Mr. Charles A. Simpson, Contracts Manager Washington River Protection Solutions LLC 2440 Stevens Center Place Richland, Washington 99354 Mr. Simpson: CONTRACT NO. DE-AC27-08RVI4800 - TRANSMITTAL OF CONTRACT MODIFICATION 231 The purpose of this letter is to transmit the fully-executed Contract Modification 23 1. This modification revises the contract price for the base contract period and updates Section J, Attachment J.4, Performance

  2. 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 ...

  3. A Review of Variable Generation Forecasting in the West: July...

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

    rely on an array of VG forecasts suited to different purposes. Some of the most common types of VG forecasts are defined below: 2 This report is available at no cost from the...

  4. 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...

  5. Craig Thomas Discovery & Visitor Center

    High Performance Buildings Database

    Moose, WY Grand Teton National Park's rugged landscape and stunning array of wildlife attract nearly three million visitors every year, making it one of our most popular national parks. A new Grand Teton National Park visitor center near the park's headquarters north of Jackson, Wyoming, replaces an outdated building, educates an increased number of visitors, and inspires further exploration of this extraordinary landscape. The project site is located along the Snake River, between a riparian forest and a sagebrush meadow.

  6. 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.

  7. NREL: Resource Assessment and Forecasting - Capabilities

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

    Capabilities Best Practices Handbook Helps Industry Collect and Interpret Solar Resource Data Read about this new comprehensive resource for the solar industry. NREL's resource assessment and forecasting research staff provides expertise in renewable energy measurement and instrumentation. Major capabilities include solar resource measurement, instrument calibration, instrument characterization, solar monitoring training, and standards development and information dissemination. Solar Resource

  8. 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.

  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. 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...

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

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

    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

  14. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

    Wavelet-ARIMA (Conference) | SciTech Connect Conference: 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

  15. ANL Software Improves Wind Power Forecasting | Department of Energy

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

    ANL Software Improves Wind Power Forecasting ANL Software Improves Wind Power Forecasting May 1, 2012 - 3:19pm Addthis This is an excerpt from the Second Quarter 2012 edition of the Wind Program R&D Newsletter. Since 2008, Argonne National Laboratory and INESC TEC (formerly INESC Porto) have conducted a research project to improve wind power forecasting and better use of forecasting in electricity markets. One of the main results from the project is ARGUS PRIMA (PRediction Intelligent

  16. Today's Forecast: Improved Wind Predictions | Department of Energy

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

    Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical

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

    SciTech Connect (OSTI)

    Wilczak, J. 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.

    2015-10-11

    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. 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.

  20. Financial Management Committee

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

    is negative 4 million for the end of FY 2011. The 2nd Quarter Review end-of-year net revenue forecast is 25 million. The current Northwest River Forecasting Center forecast puts...

  1. Total dissolved gas prediction and optimization in RiverWare

    SciTech Connect (OSTI)

    Stewart, Kevin M.; Witt, Adam M.; Hadjerioua, Boualem

    2015-09-01

    Management and operation of dams within the Columbia River Basin (CRB) provides the region with irrigation, hydropower production, flood control, navigation, and fish passage. These various system-wide demands can require unique dam operations that may result in both voluntary and involuntary spill, thereby increasing tailrace levels of total dissolved gas (TDG) which can be fatal to fish. Appropriately managing TDG levels within the context of the systematic demands requires a predictive framework robust enough to capture the operationally related effects on TDG levels. Development of the TDG predictive methodology herein attempts to capture the different modes of hydro operation, thereby making it a viable tool to be used in conjunction with a real-time scheduling model such as RiverWare. The end result of the effort will allow hydro operators to minimize system-wide TDG while meeting hydropower operational targets and constraints. The physical parameters such as spill and hydropower flow proportions, accompanied by the characteristics of the dam such as plant head levels and tailrace depths, are used to develop the empirically-based prediction model. In the broader study, two different models are developed a simplified and comprehensive model. The latter model incorporates more specific bubble physics parameters for the prediction of tailrace TDG levels. The former model is presented herein and utilizes an empirically based approach to predict downstream TDG levels based on local saturation depth, spillway and powerhouse flow proportions, and entrainment effects. Representative data collected from each of the hydro projects is used to calibrate and validate model performance and the accuracy of predicted TDG uptake. ORNL, in conjunction with IIHR - Hydroscience & Engineering, The University of Iowa, carried out model adjustments to adequately capture TDG levels with respect to each plant while maintaining a generalized model configuration. Validation results indicate excellent model performance with coefficient of determination values exceeding 92% for all sites. This approach enables model extension to an increasingly wider array of hydropower plants, i.e., with the proper data input, TDG uptake can be calculated independent of actual physical component design. The TDG model is used as a module in the systematic optimization framework of RiverWare, a river and reservoir modeling tool used by federal agencies, public utility districts, and other dam owners and operators to forecast, schedule, and manage hydropower assets. The integration and testing of the TDG module within RiverWare, led by University of Colorado s Center for Advanced Decision Support for Water and Environmental Systems (CADSWES), will allow users to generate optimum system schedules based on the minimization of TDG. Optimization analysis and added value will be quantified as system wide reductions in TDG achieved while meeting existing hydropower constraints. Future work includes the development of a method to predict downstream reservoir forebay TDG levels as a function of upstream reservoir tailrace TDG values based on river hydrodynamics, hydro operations, and reservoir characteristics. Once implemented, a holistic model that predicts both TDG uptake and transport will give hydropower operators valuable insight into how system-wide environmental effects can be mitigated while simultaneously balancing stakeholder interests.

  2. 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.

  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. 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

  6. 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.

  7. Savannah River National Laboratory Meets with Historically Black Colleges

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

    and Universities | Department of Energy Savannah River National Laboratory Meets with Historically Black Colleges and Universities Savannah River National Laboratory Meets with Historically Black Colleges and Universities February 1, 2013 - 9:00am Addthis South Carolina State University students William Dumpson, left, and Alejandra Chirino, center, talk with Savannah River National Laboratory Director Dr. Terry Michalske at a recent research exchange involving the laboratory and seven

  8. Woody's Feather River Hot Springs Pool & Spa Low Temperature...

    Open Energy Info (EERE)

    of Technology's Geo-Heat Center Retrieved from "http:en.openei.orgwindex.php?titleWoody%27sFeatherRiverHotSpringsPool%26SpaLowTemperatureGeothermalFacility&oldid3...

  9. 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.

  10. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

    Complex Terrain | Department of Energy Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am Addthis On February 11, 2014 the Wind Program announced a Notice of Intent to issue a funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex terrain, this funding would improve

  11. Module 6 - Metrics, Performance Measurements and Forecasting | Department

    Energy Savers [EERE]

    of Energy 6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices. In addition, this module will outline forecasting tools such as estimate to complete (ETC) and estimate at completion (EAC)

  12. Funding Opportunity Announcement for Wind Forecasting Improvement Project

    Office of Environmental Management (EM)

    in Complex Terrain | Department of Energy Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain April 4, 2014 - 9:47am Addthis 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 that take place in complex

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

    Office of Environmental Management (EM)

    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

  14. NREL: Resource Assessment and Forecasting - Webmaster

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

    Webmaster Use this form to send us your comments and questions, report problems with the site, or ask for help finding information on the site. Please enter your name and email address in the boxes provided, then type your message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version Resource Assessment & Forecasting Home

  15. 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.

  16. 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.

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

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

    research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements. WFIP Round...

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

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

    Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and other stakeholders better forecast when, where, and how much...

  19. 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...

  20. 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...

  1. 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 " " % % &...

  2. 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.

  3. Bisfuel links - Research centers

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

    Research centers http://bioenergy.asu.edu/" target="_blank">Center for Bioenergy and Photosynthesis

  4. 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.

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

    Energy Savers [EERE]

    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

  6. 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.

  7. Retro-Commissioning Increases Data Center Efficiency at Low Cost |

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

    Department of Energy Retro-Commissioning Increases Data Center Efficiency at Low Cost Retro-Commissioning Increases Data Center Efficiency at Low Cost Fact sheet discusses a success story detailing a retro-commissioning project at the Department of Energy's Savannah River Site to increase data center energy efficiency at low costs. PDF icon datacenter_savannah.pdf More Documents & Publications Including Retro-Commissioning in Federal Energy Savings Performance Contracts Energy Audit and

  8. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    Open Energy Info (EERE)

    TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name: 3TIER Environmental Forecast Group Inc (3TIER) Place: Seattle, Washington Zip: 98121 Sector: Renewable...

  9. Energy Savings Forecast of Solid-State Lighting in General Illuminatio...

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

    Forecast of Solid-State Lighting in General Illumination Applications Energy Savings Forecast of Solid-State Lighting in General Illumination Applications PDF icon...

  10. Solid Waste Integrated Forecast Technical (SWIFT) Report FY2001 to FY2046 Volume 1

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2000-08-31

    This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the WM Project; program-level and waste class-specific estimates; background information on waste sources; and comparisons to previous forecasts and other national data sources. This report does not include: waste to be managed by the Environmental Restoration (EM-40) contractor (i.e., waste that will be disposed of at the Environmental Restoration Disposal Facility (ERDF)); waste that has been received by the WM Project to date (i.e., inventory waste); mixed low-level waste that will be processed and disposed by the River Protection Program; and liquid waste (current or future generation). Although this report currently does not include liquid wastes, they may be added as information becomes available.

  11. 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.

  12. Alternative Fuels Data Center

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

    Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples Summary Tables Key Federal Legislation The information below includes a brief chronology and

  13. Alternative Fuels Data Center

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

    Local Examples Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  14. Alternative Fuels Data Center

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

    Search Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples Summary

  15. Alternative Fuels Data Center

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

    Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... Fuel Properties Search Fuel Properties Comparison Create a custom chart

  16. Alternative Fuels Data Center

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

    About the Data Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  17. Alternative Fuels Data Center

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

    State Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples Summary

  18. Alternative Fuels Data Center

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

    Incentives Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  19. Alternative Fuels Data Center

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

    Summary Tables Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  20. Alternative Fuels Data Center

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

    Federal Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples Summary

  1. Alternative Fuels Data Center

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

    State Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples Summary

  2. Alternative Fuels Data Center

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

    Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... Truckstop Electrification Truck Stop Electrification Locator Locate

  3. Alternative Fuels Data Center

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

    AFDC Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... Vehicle and Infrastructure Cash-Flow Evaluation Model VICE 2.0: Vehicle

  4. Alternative Fuels Data Center

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

    Incentives Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  5. Alternative Fuels Data Center

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

    Incentives » Federal Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local

  6. Alternative Fuels Data Center

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

    Incentives Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels Data Center on AddThis.com... More in this section... Search Federal State Local Examples

  7. 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.

  8. Danforth Center Tour | Photosynthetic Antenna Research Center

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

    Danforth Center Tour Danforth Center Tour As part of our Events & Topics in Bioenergy and the Environment series, we hosted a tour to the Donald Danforth Plant Science Center to get a behind-the-scenes look at all the fascinating science being done on site.

  9. 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....

  10. 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.

  11. 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,...

  12. 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.

  13. 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.

  14. DOE Announces Webinars on Solar Forecasting Metrics, the DOE...

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

    The Energy Department will present a live webinar titled "Solar Forecasting Metrics" on Thursday, February 13, from 3:00 p.m. to 5:00 p.m. Eastern Standard Time. During this ...

  15. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

    Through the Improving the Accuracy ofSolar Forecasting Funding Opportunity,DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and other...

  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. World oil inventories forecast to grow significantly in 2016...

    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 ...

  18. 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

  19. Office of River Protection - Hanford Site

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

    Office of River Protection Office of River Protection Office of River Protection Office of River Protection Email Email Page | Print Print Page |Text Increase Font Size Decrease...

  20. Lower Colorado River Authority | Department of Energy

    Office of Environmental Management (EM)

    of Lower Colorado River Authority's communications requirements

  1. 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

  2. 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

  3. Energy Department Forecasts Geothermal Achievements in 2015 | Department of

    Office of Environmental Management (EM)

    Energy Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector, including Jay Nathwani, Acting Director of the Energy Department's Geothermal Technologies Office. Nathwani shared achievements and challenges in the program's technical portfolio. The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector,

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

    Office of Environmental Management (EM)

    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

  5. Center for Nonlinear Studies

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

    Applied Geophysical Experiences Materials Design Calendar NSEC Center for Nonlinear Studies Center for Nonlinear Studies Serving as an interface between mission...

  6. NREL: Education Center - Events

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

    Education Center Printable Version Events Unless otherwise notified, events listed here will be held at the NREL Education Center, 15013 Denver West Parkway, Golden, CO. The...

  7. Child Development Centers

    Broader source: Energy.gov [DOE]

    Headquarters operates National Association for the Education of Young Children (NAEYC) accredited child development centers at its Forrestal and Germantown facilities. Each center provides day care...

  8. 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

  9. 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.

  10. Great River (1973)

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

    Volume One Film Collection Volume Two 75th Anniversary Hydropower in the Northwest Woody Guthrie Videos Strategic Direction Branding & Logos Power of the River History Book...

  11. River of Power (1987)

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

    Volume One Film Collection Volume Two 75th Anniversary Hydropower in the Northwest Woody Guthrie Videos Strategic Direction Branding & Logos Power of the River History Book...

  12. Savannah River Technology Center monthly report, March 1993

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1993-03-01

    This report outlines progress and accomplishments in the following categories: Reactor; Tritium; Separations; Environmental; Waste Management; and General. Reactor topics are a summary of the Applied Physics Group`s work for the K-15.1 cycle; FLOWTRAN-TF code test certification, documentation, and reactor support; analysis of Mark 16B material from the L-Reactor Dissassembly Basin; the Reactor Tank inspection program T-Weld project; and Consistency Matrix support. Tritium topics are Leak Test Systems for the Container Management Facility; Replacement Tritium Facility technical issues tracking; transmission electron microscopy specimen preparation; the tritium aging effect on LaNi4.95A10.05 compressor material; and the life storage program. Separations topics are the F-Canyon Safety Analysis Report Addendum; an H-Canyon dissolver model; non-reactor assistance to the Nuclear Regulatory Commission; and onsite packaging criteria draft documentation. Environmental topics are Pond C studies with an underwater HPGe detector; the PREDICT run for the 1992 Annual Environmental Report; an integrated demonstration for cleanup of organic soils and groundwater at non-arid sites; and radio frequency soil heating -- fiberoptic temperature measurement probes. Waste Management topics are adding sodium titanate to in-tank precipitation simulants; lab-scale stripper column defoaming tests; the development of an extended sludge processing batch one model; and a canister temperature study. General topics are video image capture system -- drum inspection; old solvent tank characterization; plutonium storage containers; a glove box docking port; the development of SRS engineering and scientific software catalog; Nuclear Incident Monitor and criticality analysis for separations equipment development; and Nuclear Regulatory Commission assistance. Publications and other items of interest are cited at the end of this report.

  13. Uranium Measurement Improvements at the Savannah River Technology Center

    SciTech Connect (OSTI)

    Shick, C. Jr.

    2002-02-13

    Uranium isotope ratio and isotope dilution methods by mass spectrometry are used to achieve sensitivity, precision and accuracy for various applications. This report presents recent progress made at SRTC in the analysis of minor isotopes of uranium. Comparison of routine measurements of NBL certified uranium (U005a) using the SRTC Three Stage Mass Spectrometer (3SMS) and the SRTC Single Stage Mass Spectrometer (SSMS). As expected, the three stage mass spectrometer yielded superior sensitivity, precision, and accuracy for this application.

  14. Savannah River Technology Center monthly report, July 1995

    SciTech Connect (OSTI)

    Ferrell, J.M.

    1995-07-01

    Progress is reported in the context of: tritium, separations, environmental, waste management, and general affairs. Emphasized topics include: metal hydrides, valves, sampling, water contamination, Par pond, F and H canyon tanks, tritium transport models, landfill stabilization, pumps, waste storage, and chemical analyzers.

  15. tracc-comuting-center-html

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

    Transportation Research and Analysis Computing Center

  16. A'All) u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER

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

    l A'All) u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Hudson Valley Community CoUege; sub: Three Rivers Community College PROJECf TITLE:...

  17. Microsoft PowerPoint - Columbia_River_Corridor_Rev_2_v2.ppt [Compatibility Mode]

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

    9 Columbia River Corridor The Columbia River Corridor projects selected for Recovery A t f di i l d d li hi f iliti di ti Act funding include demolishing facilities, remediating waste sites, and containing and treating contamination in groundwater. The projects support completing cleanup along the Columbia River and shrinking the active area of cleanup to the center of the Hanford Site (the Central Plateau) by 2015 1 of the Hanford Site (the Central Plateau) by 2015. May 2009 Shrinking the

  18. Comments of the Southern Environmental Law Center and the American Lung

    Energy Savers [EERE]

    Association in response to the Department of Energy's Emergency Order to Resume Operations at the Potomac River Generating Station in Alexandria, VA | Department of Energy the Southern Environmental Law Center and the American Lung Association in response to the Department of Energy's Emergency Order to Resume Operations at the Potomac River Generating Station in Alexandria, VA Comments of the Southern Environmental Law Center and the American Lung Association in response to the Department

  19. Current Hydrological Information (hydro/fcrps)

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

    Current Hydrological Information For general hydrological information, see the National Weather Service Northwest River Forecast Center (NWRFC) Home Page (www.nwrfc.noaa.gov) For...

  20. Sustaining a Vision: DOE Funding Boosts Building Energy Efficiency in Yukon River Basin

    Broader source: Energy.gov [DOE]

    The Yukon River Inter-tribal Watershed Council (YRITWC) is a coalition of sovereign tribal and First Nations governments founded in 1997 to increase indigenous communities' resiliency in the Yukon River Basin. In 2009, the YRITWC partnered with the Cold Climate Housing Research Center to integrate renewable energy into innovative arctic housing design in the community of Anaktuvuk Pass, Alaska.

  1. 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.

  2. UAIEE and Industrial Assessment Centers

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

    55-62011| Industrial Assessment Centers * Started in 1976 * Currently 26 Centers across the US * Almost...

  3. 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).

  4. 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).

  5. Green Jobs Training Center

    Broader source: Energy.gov [DOE]

    Provides an overview of the training available through the Green Jobs Training Center including certification courses and the apprenticeship program.

  6. Applied Research Center

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

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical browser that supports web standards, but its content is accessible to any browser. Concerns? Applied Research Center ARC Home Consortium News EH&S Reports print version ARC Resources Commercial Tenants ARC Brochure Library Conference Room Applied Research Center Applied Research Center front view Applied Research

  7. First National Technology Center

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

    National Technology First National Technology Center Center Dennis Hughes FMA, RPA, P.E. Lead Property Manager, First National Buildings, Inc. 2 First National Technology First National Technology Center Center First National of Nebraska, Inc. - $12 Billion Assets - 5,400 employees - 6.6 million customers in 50 states - 60 banking locations Nebraska, Colorado, Kansas, South Dakota,Texas, Illinois - Largest in house merchant processor in United States Top ten VISA® and MasterCard® processor Top

  8. ARM - External Data Center

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

    govExternal Data Center External Data Center Order Data Description of External Data Streams Data Viewers and Plots (selected data sets) XDC Documentation External Data Center The ARM External Data Center (XDC) at Brookhaven National Laboratory identifies sources and acquires data, called "external data", to augment the data being generated within the program. The scientific need and the priorities for acquiring, processing and archiving the external data-streams are established by the

  9. Center for Advanced Photophysics | About The Center

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

    Victor Klimov - Center for Advanced Solar Photophysics Message from Center Director The solution to the global energy challenge requires revolutionary breakthroughs in areas such as the conversion of solar energy into electrical power or chemical fuels. The principles for capturing solar light and converting it into electrical charges have not changed for more than four decades. Previous advances in this area have mostly relied on iterative improvements in material quality and/or device

  10. Data center cooling method

    DOE Patents [OSTI]

    Chainer, Timothy J.; Dang, Hien P.; Parida, Pritish R.; Schultz, Mark D.; Sharma, Arun

    2015-08-11

    A method aspect for removing heat from a data center may use liquid coolant cooled without vapor compression refrigeration on a liquid cooled information technology equipment rack. The method may also include regulating liquid coolant flow to the data center through a range of liquid coolant flow values with a controller-apparatus based upon information technology equipment temperature threshold of the data center.

  11. Electron Microscopy Center

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

    Argonne National Laboratory Electron Microscopy Center Argonne Home > EMC > EMC Home Electron Microscopy Center Web Site has moved This page has moved to http://www.anl.gov/cnm/group/electron-microscopy-center. UChicago Argonne LLC Privacy & Security Notice

  12. 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.

  13. 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...

  14. 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.

  15. EERE Success Story-Solar Forecasting Gets a Boost from Watson...

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

    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 ...

  16. River and Harbors Act

    Broader source: Energy.gov [DOE]

    Section 10 of the Rivers and Harbors Act of 1899 (33 U.S.C. 403) prohibits the unauthorized obstruction or alteration of any navigable water of the United States.

  17. Savannah river site

    National Nuclear Security Administration (NNSA)

    at the Savannah River Site (SRS) to supply and process tritium, a radioactive form of hydrogen that is a vital component of nuclear weapons. SRS loads tritium and non-tritium...

  18. Savannah River Ecology Laboratory

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

    located downstream of the industrial facilities of T Area and upstream of the intake for pump station No. 3 of the Site river water distribution system. This area was dominated by...

  19. Savannah River Ecology Laboratory

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

    (45.8 ha) Set-Aside Area, adjacent to the former location of the Savannah River Ecology Laboratory, is one of the original ten SREL habitat reserves and was selected to...

  20. Alternative Fuels Data Center: About the Alternative Fuels Data Center

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

    About Printable Version Share this resource Send a link to Alternative Fuels Data Center: About the Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center: About the Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data Center: About the Alternative Fuels Data Center on Twitter Bookmark Alternative Fuels Data Center: About the Alternative Fuels Data Center on Google Bookmark Alternative Fuels Data Center: About the Alternative Fuels Data

  1. 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.

  2. 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.

  3. 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.

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

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

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

  5. 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.

  6. 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

  7. Savannah River BioEnergy Integration Center Savannah River BioEnergy...

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

    biofuel production, along with statutory requirements in the Renewable Fuels Standard and other federal and state legislation, are also triggering significant growth in biofuel ...

  8. 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.

  9. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Gomez-Lazaro, E.; Lovholm, A. L.; Berge, E.; Miettinen, J.; Holttinen, H.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Dobschinski, J.

    2013-10-01

    One of the critical challenges of wind power integration is the variable and uncertain nature of the resource. This paper investigates the variability and uncertainty in wind forecasting for multiple power systems in six countries. An extensive comparison of wind forecasting is performed among the six power systems by analyzing the following scenarios: (i) wind forecast errors throughout a year; (ii) forecast errors at a specific time of day throughout a year; (iii) forecast errors at peak and off-peak hours of a day; (iv) forecast errors in different seasons; (v) extreme forecasts with large overforecast or underforecast errors; and (vi) forecast errors when wind power generation is at different percentages of the total wind capacity. The kernel density estimation method is adopted to characterize the distribution of forecast errors. The results show that the level of uncertainty and the forecast error distribution vary among different power systems and scenarios. In addition, for most power systems, (i) there is a tendency to underforecast in winter; and (ii) the forecasts in winter generally have more uncertainty than the forecasts in summer.

  10. Sky River Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    River Wind Farm Jump to: navigation, search Name Sky River Wind Farm Facility Sky River Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  11. Sioux River Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    River Ethanol LLC Jump to: navigation, search Name: Sioux River Ethanol LLC Place: Hudson, South Dakota Zip: 57034 Product: Farmer owned ethanol producer, Sioux River Ethanol is...

  12. Wing River Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name Wing River Wind Farm Facility Wing River Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Wing River...

  13. Flambeau River Biofuels | Open Energy Information

    Open Energy Info (EERE)

    Flambeau River Biofuels Jump to: navigation, search Name: Flambeau River Biofuels Place: Park Falls, Wisconsin Sector: Biomass Product: A subsidiary of Flambeau River Papers LLC...

  14. Raft River Geothermal Facility | Open Energy Information

    Open Energy Info (EERE)

    Facility Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Raft River Geothermal Facility General Information Name Raft River Geothermal Facility Facility Raft River...

  15. Relativistic Guiding Center Equations

    SciTech Connect (OSTI)

    White, R. B.; Gobbin, M.

    2014-10-01

    In toroidal fusion devices it is relatively easy that electrons achieve relativistic velocities, so to simulate runaway electrons and other high energy phenomena a nonrelativistic guiding center formalism is not sufficient. Relativistic guiding center equations including flute mode time dependent field perturbations are derived. The same variables as used in a previous nonrelativistic guiding center code are adopted, so that a straightforward modifications of those equations can produce a relativistic version.

  16. Polymer Engineering Center

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

    Polymer Engineering Center University of Wisconsin-Madison Experimental and Numerical Studies of the Temperature Field in Selective Laser Sintering to Improve Shrinkage and Warpage Prediction Prof. Dr.-Ing. Natalie Rudolph Polymer Engineering Center Department of Mechanical Engineering University of Wisconsin-Madison 1513 University Ave Madison, WI 53706 Advanced Qualification of Additive Manufacturing Materials Workshop, July 20-21, 2015 in Santa Fe, NM Polymer Engineering Center University of

  17. NREL: Education Center - Programs

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

    Education Center Printable Version Programs NREL's Education Center in Golden, Colorado, offers a variety of program topics and experiences for students and adult groups addressing renewable energy and energy efficiency innovations and introducing the work of NREL. Monthly tours are also offered to give visitors an overview of our sustainable campus and featured buildings. Printable Version Education Center Home Hours, Directions & Contact Information Group Programs Students Adults Campus

  18. Center for Nonlinear Studies

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

    Center for Nonlinear Studies Center for Nonlinear Studies We conduct and support basic scientific research in nonlinear and complex systems phenomena and promote their use in applied research programs. Contact CNLS Office (505) 667-1444 Email Leader Robert Ecke (505) 667-6733 Email Conducting and supporting basic scientific research in nonlinear and complex systems phenomena The Center for Nonlinear Studies (CNLS) at Los Alamos chooses a small number (two to three) focus topics periodically and

  19. Lujan Neutron Scattering Center

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

    responds to radiological incident August 27, 2012 The Laboratory is investigating the inadvertent spread of Technetium 99 by employees and contractors at the Lujan Neutron Scattering Center August 27, 2012-The Laboratory is investigating the inadvertent spread of Technetium 99 by employees and contractors at the Lujan Neutron Scattering Center at the Los Alamos Neutron Science Center (LANSCE), a multidisciplinary accelerator facility used for both civilian and national security research. The

  20. WIPP - Joint Information Center

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

    The Joint Information Center is located at 4021 National Parks Highway in Carlsbad, N.M. Joint Information Center In the unlikely event of an emergency, the WIPP Joint Information Center (JIC) serves as a central control point to coordinate multi-agency efforts to issue timely and accurate information to the public, news media and project employees. Emergency contact information: The public If the JIC is activated, members of the general public, including family members, may call (575) 234-7380

  1. LANSCE | Lujan Center

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

    Lujan Center at LANSCE LANSCE » Lujan Center LANSCE Lujan Home Apply for Beamtime Scientists & Expertise Lujan Instruments User Resources Industrial Users Publications Training Office Science Thrust Areas Science Highlights Data Management Plan Contacts Lujan Center Leader Gus Sinnis 505.667.6069 Deputy Leader Fredrik Tovesson 505.665.9652 Deputy Leader & Experimental Area Manager Charles Kelsey 505.665.5579 Experiment Coordinator Victor Fanelli 505.667.8755 User Program Administration

  2. APS Conference Center

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

    combines intellectual stimulation with natural beauty. The Conference Center is within walking distance of the Argonne Guest House, a full-service, professionally-managed hotel and...

  3. Center of Innovation- Energy

    Broader source: Energy.gov [DOE]

    Jill Stuckey, Director, Center fof Innovation - Energy, presents on Georgia's workforce development opportunities for the Biomass/Clean Cities States Webinar.

  4. NREL: Education Center - Webmaster

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

    to reply. Your name: Your email address: Your message: Send Message Printable Version Education Center Home Hours, Directions & Contact Information Group Programs A Model of...

  5. Game Center | Jefferson Lab

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

    Game Center September 2, 2010 It's a feature of Thomas Jefferson National Accelerator Laboratory that it has at least two other names, including Jefferson Lab and JLab. Similarly, parts of our organization go by different names - the Theory group, the Theory Department, the Theory Center and the Center for Theoretical and Computational Physics. But a new name might be "Game Center." Let me explain. Large-scale computing has been a major deal for the Department of Energy for many years.

  6. Data Center Cooling

    SciTech Connect (OSTI)

    Rutberg, Michael; Cooperman, Alissa; Bouza, Antonio

    2013-10-31

    The article discusses available technologies for reducing energy use for cooling data center facilities. This article addresses the energy savings and market potential of these strategies as well.

  7. ARM - News Center Archive

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

    CenterNews Center Archive Media Contact Hanna Goss hanna-dot-goss-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes107 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 ARM Mobile Facility 3 1 BAECC 1 BBOP 4 ENA 1 GOAMAZON 7 MAGIC 15 MC3E 17 PECAN 3 SGP 7 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog Events

  8. Polymer Engineering Center

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

    Center 1513 University Ave 1035 Mechanical Engineering building natalie.rudolph@wisc.edu Dielectric Analysis Dipl.-Phys. Alexander Chaloupka Fraunhofer ICT Branch...

  9. Biofuels Information Center

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

    Biofuels Information Center BETO 2015 Peer Review Kristi Moriarty March 24, 2015 2 Goal ...docsfy06osti39181.pdf Electricity rates (residential, commercial, ...

  10. Extreme Environments (EFree) Center

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

    Extreme Environments (EFree ) Center LLNL Co-PI: Jonathon Crowhurst e-mail bio Novel materials for energy applications Ultrafast reflectivity measurements under high pressure...

  11. ASU EFRC - Center researchers

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

    Center researchers Chad Simmons Academic Professional Gerdenis Kodis Research Assistant Professor Raimund Fromme Faculty Research Associate Yuichi Terazono Faculty Research Associate

  12. Savannah River | Department of Energy

    Energy Savers [EERE]

    River Savannah River Following are compliance agreements for the Savannah River Site. Also included are short summaries of the agreements. PDF icon Natural Resources Defense Council Consent Decree, May 26, 1988 PDF icon Natural Resources Defense Council Consent Decree, May 26, 1988 Summary PDF icon Savannah River Site Consent Order 99-155-W, October 11, 1999 PDF icon Savannah River Site Consent Order 99-155-W, October 11, 1999 Summary PDF icon Savannah River Site Consent Order 85-70-SW, November

  13. Schlumberger soundings in the Upper Raft River and Raft River...

    Open Energy Info (EERE)

    soundings in the Upper Raft River and Raft River Valleys, Idaho and Utah Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Schlumberger soundings in the...

  14. Office of River Protection (ORP) and Washingotn River Protection Solutions,

    Office of Environmental Management (EM)

    LLC (WRPS) Partnering Agreement for the DOE-EM Tank Operations Project | Department of Energy Protection (ORP) and Washingotn River Protection Solutions, LLC (WRPS) Partnering Agreement for the DOE-EM Tank Operations Project Office of River Protection (ORP) and Washingotn River Protection Solutions, LLC (WRPS) Partnering Agreement for the DOE-EM Tank Operations Project The Mission of the Office of River Protection is to safely retrieve and treat Hanford's tank waste and close the Tank Farms

  15. Lower Colorado River Authority | Department of Energy

    Office of Environmental Management (EM)

    from Lower Colorado River Authority on Smart Grid communications requirements

  16. Reese River Geothermal Project | Open Energy Information

    Open Energy Info (EERE)

    River Geothermal Project Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Development Project: Reese River Geothermal Project Project Location Information...

  17. 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 Victor Diakov Nicholas DiOrio Aron Dobos Kelly Eurek Janine Freeman Bethany Frew Pieter Gagnon

  18. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect (OSTI)

    Yankeelov, Tom; Quaranta, Vito; Evans, Katherine J; Rericha, Erin

    2015-01-01

    We propose that the quantitative cancer biology community make a concerted effort to apply the methods of weather forecasting to develop an analogous theory for predicting tumor growth and treatment response. Currently, the time course of response is not predicted, but rather assessed post hoc by physical exam or imaging methods. This fundamental limitation of clinical oncology makes it extraordinarily difficult to select an optimal treatment regimen for a particular tumor of an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful theory of tumor forecasting, it should be possible to integrate large tumor specific datasets of varied types, and effectively defeat cancer one patient at a time.

  19. 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.

  20. Energy efficient data centers

    SciTech Connect (OSTI)

    Tschudi, William; Xu, Tengfang; Sartor, Dale; Koomey, Jon; Nordman, Bruce; Sezgen, Osman

    2004-03-30

    Data Center facilities, prevalent in many industries and institutions are essential to California's economy. Energy intensive data centers are crucial to California's industries, and many other institutions (such as universities) in the state, and they play an important role in the constantly evolving communications industry. To better understand the impact of the energy requirements and energy efficiency improvement potential in these facilities, the California Energy Commission's PIER Industrial Program initiated this project with two primary focus areas: First, to characterize current data center electricity use; and secondly, to develop a research ''roadmap'' defining and prioritizing possible future public interest research and deployment efforts that would improve energy efficiency. Although there are many opinions concerning the energy intensity of data centers and the aggregate effect on California's electrical power systems, there is very little publicly available information. Through this project, actual energy consumption at its end use was measured in a number of data centers. This benchmark data was documented in case study reports, along with site-specific energy efficiency recommendations. Additionally, other data center energy benchmarks were obtained through synergistic projects, prior PG&E studies, and industry contacts. In total, energy benchmarks for sixteen data centers were obtained. For this project, a broad definition of ''data center'' was adopted which included internet hosting, corporate, institutional, governmental, educational and other miscellaneous data centers. Typically these facilities require specialized infrastructure to provide high quality power and cooling for IT equipment. All of these data center types were considered in the development of an estimate of the total power consumption in California. Finally, a research ''roadmap'' was developed through extensive participation with data center professionals, examination of case study findings, and participation in data center industry meetings and workshops. Industry partners enthusiastically provided valuable insight into current practice, and helped to identify areas where additional public interest research could lead to significant efficiency improvement. This helped to define and prioritize the research agenda. The interaction involved industry representatives with expertise in all aspects of data center facilities, including specialized facility infrastructure systems and computing equipment. In addition to the input obtained through industry workshops, LBNL's participation in a three-day, comprehensive design ''charrette'' hosted by the Rocky Mountain Institute (RMI) yielded a number of innovative ideas for future research.

  1. Summary - Disposal Practices at the Savannah River Site

    Office of Environmental Management (EM)

    ETR-19 United States Department of Energy Office of Environmental Management (DOE-EM) External Technical Review of the Disposal Practices at the Savannah River Site Why DOE-EM Did This Review Disposal operations have been ongoing at the Savannah River Site (SRS) for over 50 years. Active disposal in E-Area, is near the center of the site. Although a wide range of wastes are being managed at the SRS, only low level radioactive wastes (LLRW) are disposed of on site. Wastes are disposed of in

  2. Modeling the effects of river flow on population dynamics of piping plovers (Charadrius melodus) and least terns (Sternula antillarum) nesting on the Missouri River

    SciTech Connect (OSTI)

    Buenau, Kate E.; Hiller, Tim L.; Tyre, Andrew J.

    2014-10-01

    Humans make extensive use of rivers and floodplains for economic benefits including agriculture, hydropower, commerce and recreation. Economic development of floodplains subsequently requires control of river levels to avoid flood damage. This process began in the Missouri River basin in the 1890s with the construction of a series of hydropower dams in Montana and escalated to new levels with the approval of the Pick-Sloan plan in the 1944 Flood Control Act. Maximizing these human uses of the river led to changes in and losses of hydrological and ecological processes, ultimately resulting in the federal listing of three fish and wildlife species under the Endangered Species Act: the pallid sturgeon (Scaphirhyncus albus; 1983), the piping plover (Charadrius melodus; 1984), and the interior population of least tern (Sternula antillarum; 1985). The listing of terns and plovers did not affect river management until the United States Army Corps of Engineers (USACE) proposed to modify the governing document of the Missouri River Mainstem System, the Master Manual, a process which was completed in 2003. Although there was little disagreement over the habitat conditions that terns and plovers used for nesting, there was substantial disagreement over the amount of habitat necessary for terns and plovers to meet population recovery goals. Answering this question requires forecasting species-specific population responses to dynamic habitat affected by both human actions (reservoir management and habitat restoration) and natural variability in precipitation. Piping plovers and least terns nest along the Missouri River from Fort Peck, Montana to just north of Sioux City, Iowa (Figure 1). Both species prefer to nest on sand and fine gravel substrates with no or sparse vegetation cover (Prindiville Gaines and Ryan, 1988; Sherfy et al., 2012), such as riverine sandbars (emergent sandbar habitat; ESH). Piping plovers also nest on reservoir shorelines that lack vegetation cover (Anteau et al., 2012). The amount of ESH available for nesting in a given year is strongly affected by the amount of water entering the Missouri River system through precipitation and the management of water flow from six reservoirs operated by the USACE on the mainstem Missouri River. Prior to the construction of dams, the Missouri River experienced bimodal peak flows in spring and early summer in concordance with the melting of plains and mountain snowpack (Galat and Lipkin, 2000). Flows decreased during summer months, with river stage then dependent upon rainfall. The combination of consistent high flows and occasional extreme high flows, together with the meandering characteristic of the river, regularly reshaped and scoured vegetation from ESH.

  3. Demonstration of Data Center Energy Use Prediction Software

    SciTech Connect (OSTI)

    Coles, Henry; Greenberg, Steve; Tschudi, William

    2013-09-30

    This report documents a demonstration of a software modeling tool from Romonet that was used to predict energy use and forecast energy use improvements in an operating data center. The demonstration was conducted in a conventional data center with a 15,500 square foot raised floor and an IT equipment load of 332 kilowatts. It was cooled using traditional computer room air handlers and a compressor-based chilled water system. The data center also utilized an uninterruptible power supply system for power conditioning and backup. Electrical energy monitoring was available at a number of locations within the data center. The software modeling tool predicted the energy use of the data center?s cooling and electrical power distribution systems, as well as electrical energy use and heat removal for the site. The actual energy used by the computer equipment was recorded from power distribution devices located at each computer equipment row. The model simulated the total energy use in the data center and supporting infrastructure and predicted energy use at energy-consuming points throughout the power distribution system. The initial predicted power levels were compared to actual meter readings and were found to be within approximately 10 percent at a particular measurement point, resulting in a site overall variance of 4.7 percent. Some variances were investigated, and more accurate information was entered into the model. In this case the overall variance was reduced to approximately 1.2 percent. The model was then used to predict energy use for various modification opportunities to the data center in successive iterations. These included increasing the IT equipment load, adding computer room air handler fan speed controls, and adding a water-side economizer. The demonstration showed that the software can be used to simulate data center energy use and create a model that is useful for investigating energy efficiency design changes.

  4. Savannah River Site Robotics

    SciTech Connect (OSTI)

    2010-01-01

    Meet Sandmantis and Frankie, two advanced robotic devices that are key to cleanup at Savannah River Site. Sandmantis cleans hard, residual waste off huge underground storage tanks. Frankie is equipped with unique satellite capabilities and sensing abilties that can determine what chemicals still reside in the tanks in a cost effective manner.

  5. Savannah River Site Robotics

    ScienceCinema (OSTI)

    None

    2012-06-14

    Meet Sandmantis and Frankie, two advanced robotic devices that are key to cleanup at Savannah River Site. Sandmantis cleans hard, residual waste off huge underground storage tanks. Frankie is equipped with unique satellite capabilities and sensing abilties that can determine what chemicals still reside in the tanks in a cost effective manner.

  6. LANSCE | Lujan Center | Publications

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

    0 Publications Please use the following acknowledgement when publishing results based on data measured at the Lujan Center: "This work has benefited from the use of [add here name of specific Lujan instruments] at the Lujan Center at Los Alamos Neutron Science Center, funded by DOE Office of Basic Energy Sciences. Los Alamos National Laboratory is operated by Los Alamos National Security LLC under DOE Contract DE-AC52-06NA25396." Year Citation citation # (as of 06/2013) Instrument 115

  7. LANSCE | Lujan Center | Publications

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

    1 Publications Please use the following acknowledgement when publishing results based on data measured at the Lujan Center: "This work has benefited from the use of [add here name of specific Lujan instruments] at the Lujan Center at Los Alamos Neutron Science Center, funded by DOE Office of Basic Energy Sciences. Los Alamos National Laboratory is operated by Los Alamos National Security LLC under DOE Contract DE-AC52-06NA25396." Year Citation citation # (as of 06/2013) Instrument 244

  8. LANSCE | Lujan Center | Publications

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

    2 Publications Please use the following acknowledgement when publishing results based on data measured at the Lujan Center: "This work has benefited from the use of [add here name of specific Lujan instruments] at the Lujan Center at Los Alamos Neutron Science Center, funded by DOE Office of Basic Energy Sciences. Los Alamos National Laboratory is operated by Los Alamos National Security LLC under DOE Contract DE-AC52-06NA25396." Year Citation citation # (as of 06/2013) Instrument 373

  9. Theory Center | Jefferson Lab

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

    Science Jefferson Lab Theory Center Theoretical research at Jefferson Lab is critical to the lab's efforts to fulfill its scientific mission. A D D I T I O N A L L I N K S: Research Seminars Recent Talks Positions Student Fellowship JPAC top-right bottom-left-corner bottom-right-corner Theory Center The Center for Theoretical and Computational Physics pursues a broad program of research in support of the physics being studied at Jefferson Lab and related facilities around the world. The Theory

  10. ARM - News Center

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

    Center Media Contact Hanna Goss hanna-dot-goss-at-pnnl-dot-gov @armnewsteam Field Notes Blog Topics Field Notes107 AGU 3 AMIE 10 ARM Aerial Facility 2 ARM Mobile Facility 1 6 ARM Mobile Facility 2 47 ARM Mobile Facility 3 1 BAECC 1 BBOP 4 ENA 1 GOAMAZON 7 MAGIC 15 MC3E 17 PECAN 3 SGP 7 STORMVEX 29 TCAP 3 Search News Search Blog News Center All Categories What's this? Social Media Guidance News Center All Categories Features and Releases Facility News Field Notes Blog Events Employment Research

  11. Alternative Fuels Data Center: Biodiesel

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

    Biodiesel Printable Version Share this resource Send a link to Alternative Fuels Data Center: Biodiesel to someone by E-mail Share Alternative Fuels Data Center: Biodiesel on Facebook Tweet about Alternative Fuels Data Center: Biodiesel on Twitter Bookmark Alternative Fuels Data Center: Biodiesel on Google Bookmark Alternative Fuels Data Center: Biodiesel on Delicious Rank Alternative Fuels Data Center: Biodiesel on Digg Find More places to share Alternative Fuels Data Center: Biodiesel on

  12. Alternative Fuels Data Center: Contacts

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

    About Printable Version Share this resource Send a link to Alternative Fuels Data Center: Contacts to someone by E-mail Share Alternative Fuels Data Center: Contacts on Facebook Tweet about Alternative Fuels Data Center: Contacts on Twitter Bookmark Alternative Fuels Data Center: Contacts on Google Bookmark Alternative Fuels Data Center: Contacts on Delicious Rank Alternative Fuels Data Center: Contacts on Digg Find More places to share Alternative Fuels Data Center: Contacts on AddThis.com...

  13. Alternative Fuels Data Center: Electricity

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

    Electricity Printable Version Share this resource Send a link to Alternative Fuels Data Center: Electricity to someone by E-mail Share Alternative Fuels Data Center: Electricity on Facebook Tweet about Alternative Fuels Data Center: Electricity on Twitter Bookmark Alternative Fuels Data Center: Electricity on Google Bookmark Alternative Fuels Data Center: Electricity on Delicious Rank Alternative Fuels Data Center: Electricity on Digg Find More places to share Alternative Fuels Data Center:

  14. Alternative Fuels Data Center: Ethanol

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

    Ethanol Printable Version Share this resource Send a link to Alternative Fuels Data Center: Ethanol to someone by E-mail Share Alternative Fuels Data Center: Ethanol on Facebook Tweet about Alternative Fuels Data Center: Ethanol on Twitter Bookmark Alternative Fuels Data Center: Ethanol on Google Bookmark Alternative Fuels Data Center: Ethanol on Delicious Rank Alternative Fuels Data Center: Ethanol on Digg Find More places to share Alternative Fuels Data Center: Ethanol on AddThis.com... More

  15. Alternative Fuels Data Center: Hydrogen

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

    Hydrogen Printable Version Share this resource Send a link to Alternative Fuels Data Center: Hydrogen to someone by E-mail Share Alternative Fuels Data Center: Hydrogen on Facebook Tweet about Alternative Fuels Data Center: Hydrogen on Twitter Bookmark Alternative Fuels Data Center: Hydrogen on Google Bookmark Alternative Fuels Data Center: Hydrogen on Delicious Rank Alternative Fuels Data Center: Hydrogen on Digg Find More places to share Alternative Fuels Data Center: Hydrogen on

  16. Alternative Fuels Data Center: Propane

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

    Vehicles » Propane Printable Version Share this resource Send a link to Alternative Fuels Data Center: Propane to someone by E-mail Share Alternative Fuels Data Center: Propane on Facebook Tweet about Alternative Fuels Data Center: Propane on Twitter Bookmark Alternative Fuels Data Center: Propane on Google Bookmark Alternative Fuels Data Center: Propane on Delicious Rank Alternative Fuels Data Center: Propane on Digg Find More places to share Alternative Fuels Data Center: Propane on

  17. Alternative Fuels Data Center: Tools

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

    Tools to someone by E-mail Share Alternative Fuels Data Center: Tools on Facebook Tweet about Alternative Fuels Data Center: Tools on Twitter Bookmark Alternative Fuels Data Center: Tools on Google Bookmark Alternative Fuels Data Center: Tools on Delicious Rank Alternative Fuels Data Center: Tools on Digg Find More places to share Alternative Fuels Data Center: Tools on AddThis.com... Tools The Alternative Fuels Data Center offers a large collection of helpful tools. These calculators,

  18. Alternative Fuels Data Center: Widgets

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

    Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Widgets to someone by E-mail Share Alternative Fuels Data Center: Widgets on Facebook Tweet about Alternative Fuels Data Center: Widgets on Twitter Bookmark Alternative Fuels Data Center: Widgets on Google Bookmark Alternative Fuels Data Center: Widgets on Delicious Rank Alternative Fuels Data Center: Widgets on Digg Find More places to share Alternative Fuels Data Center: Widgets on AddThis.com... Widgets

  19. Alternative Fuels Data Center: Glossary

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

    AFDC Printable Version Share this resource Send a link to Alternative Fuels Data Center: Glossary to someone by E-mail Share Alternative Fuels Data Center: Glossary on Facebook Tweet about Alternative Fuels Data Center: Glossary on Twitter Bookmark Alternative Fuels Data Center: Glossary on Google Bookmark Alternative Fuels Data Center: Glossary on Delicious Rank Alternative Fuels Data Center: Glossary on Digg Find More places to share Alternative Fuels Data Center: Glossary on AddThis.com...

  20. Alternative Fuels Data Center: Webmaster

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

    About Printable Version Share this resource Send a link to Alternative Fuels Data Center: Webmaster to someone by E-mail Share Alternative Fuels Data Center: Webmaster on Facebook Tweet about Alternative Fuels Data Center: Webmaster on Twitter Bookmark Alternative Fuels Data Center: Webmaster on Google Bookmark Alternative Fuels Data Center: Webmaster on Delicious Rank Alternative Fuels Data Center: Webmaster on Digg Find More places to share Alternative Fuels Data Center: Webmaster on

  1. BPA Visitor Center

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

    and is located at BPA headquarters in Portland, Oregon at 905 NE 11th Ave. (Public Transit @ the Lloyd Center MAX Station). Many of the publications available in the Visitor...

  2. Energy Technology Engineering Center

    Broader source: Energy.gov [DOE]

    The Energy Technology Engineering Center (ETEC) is located within Area IV of the Santa Susana Field Laboratory. The ETEC occupies 90-acres within the 290 acre site. The Santa Susana Field...

  3. Energy Security Center

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

    Energy Security Center Energy Security Center Developing new ideas for reliable, secure, and sustainable carbon neutral energy solutions for the nation-the portal to LANL's diverse energy security research enterprise. Contact Leader Steven Buelow (505) 663 5629 Email Program Administrator Jutta Kayser (505) 663-5649 Email Research focus areas Materials and concepts for clean energy Science for renewable energy sources Superconducting cables Energy storage Fuel cells Mitigating impacts of global

  4. Center for Nanoscale Materials

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

    National Laboratory is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC. Academic, industrial, and international researchers from across the globe can access the center through its user program. Brief proposals are peer- reviewed for both non-proprietary (at no cost to the user) and proprietary (with cost-recovery rates) research. The center's goal is to support and explore ways to create functional hybrid nanomaterials and to tailor nanoscale interactions for grand

  5. LANSCE | Lujan Center | Highlights

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

    The Lujan Center: Science & People The Lujan Center, Science & People April 2014 In This Issue: * Olivier Gourdon: A crystallographer keen on showing off the revealing properties of neutrons *Seeking design rules for efficient lighting sources * Rate-dependent deformation mechanisms in beryllium * Improved understanding of a semiconductor used in infrared detectors * Mike Fitzsimmons elected NNSA Fellow * Pressure tuning: a new approach for making zero thermal expansion materials *

  6. LANSCE | Lujan Center | Publications

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

    Publications Lujan Publications: 2009 - 2012 2012 | 2011 | 2010 | 2009 Publication acknowledgement Lujan Center monitors the number of papers published as a result of the use of our facilities. The Lujan Center's sponsoring agencies requires users to publish results from their non proprietary research. Authorship of publications based on research from user facilities should reflect the normal considerations of recognizing collaborations. Proprietary users are not required to publish. Users are

  7. Data center cooling system

    SciTech Connect (OSTI)

    Chainer, Timothy J; Dang, Hien P; Parida, Pritish R; Schultz, Mark D; Sharma, Arun

    2015-03-17

    A data center cooling system may include heat transfer equipment to cool a liquid coolant without vapor compression refrigeration, and the liquid coolant is used on a liquid cooled information technology equipment rack housed in the data center. The system may also include a controller-apparatus to regulate the liquid coolant flow to the liquid cooled information technology equipment rack through a range of liquid coolant flow values based upon information technology equipment temperature thresholds.

  8. Center for Nonlinear Studies

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

    About Contact Courses Summer School Engineering Information Science, Technology Geophysics, Planetary Physics, Signatures Applied Geophysical Experiences Materials Design Calendar NSEC » Center for Nonlinear Studies Center for Nonlinear Studies Serving as an interface between mission critical research at LANL and the outside research community. Contact Director Robert Ecke (505) 667-6733 Email Deputy Director Aric Hagberg (505) 665-4958 Email Executive Administrator Elissa (Ellie) Vigil (505)

  9. Biofuels Information Center

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

    Biofuels Information Center BETO 2015 Peer Review Kristi Moriarty March 24, 2015 2 Goal Statement * The purpose of the Biofuels Information Center (BIC) task is to increase deployment of biofuels production facilities and infrastructure by providing essential biofuels data, tools, and information to all stakeholders * The Bioenergy Atlas tools provide interactive maps and analysis of all relevant biomass data with the purpose of growing the domestic bioenergy market for biofuels and biopower

  10. Energy Frontier Research Centers

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

    Welcome US DOE Energy Frontier Research Center The Center for Revolutionary Materials for Solid State Energy Conversion will focus on solid state conversion of thermal energy to useful electrical power, both to increase the efficiency of traditional industrial energy processes and to tap new unused sources of energy such as solar thermal. Additionally materials with enhanced thermoelectric properties will find application in high efficiency, environmentally benign climate control systems. Our

  11. 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.

  12. Energy Frontier Research Center Center for Materials Science...

    Office of Scientific and Technical Information (OSTI)

    for Materials Science of Nuclear Fuels Citation Details In-Document Search Title: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels Scientific ...

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

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

    Technology | Department of Energy Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology Watt-Sun: A Multi-Scale, Multi-Model, Machine-Learning Solar Forecasting Technology IBM logo.png As part of this project, new solar forecasting technology will be developed that leverages big data processing, deep machine learning, and cloud modeling integrated in a universal platform with an open architecture. Similar to the Watson computer system, this proposed technology

  14. 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.

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

    Office of Environmental Management (EM)

    Operations | Department of Energy Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Clean Power Research logo.jpg This project will address the need for a more accurate approach to forecasting net utility load by taking into consideration the contribution of customer-sited PV energy generation. Tasks within the project are designed to integrate novel PV power

  16. Hood River Passive House

    SciTech Connect (OSTI)

    Hales, D.

    2013-03-01

    The Hood River Passive Project was developed by Root Design Build of Hood River Oregon using the Passive House Planning Package (PHPP) to meet all of the requirements for certification under the European Passive House standards. The Passive House design approach has been gaining momentum among residential designers for custom homes and BEopt modeling indicates that these designs may actually exceed the goal of the U.S. Department of Energy's (DOE) Building America program to reduce home energy use by 30%-50% (compared to 2009 energy codes for new homes). This report documents the short term test results of the Shift House and compares the results of PHPP and BEopt modeling of the project.

  17. Appalachian Rivers II Conference: Technology for Monitoring, Assessing, and Restoring Streams, Rivers, and Watersheds

    SciTech Connect (OSTI)

    None available

    1999-07-29

    On July 28-29, 1999, the Federal Energy Technology Center (FETC) and the WMAC Foundation co-sponsored the Appalachian Rivers II Conference in Morgantown, West Virginia. This meeting brought together over 100 manufacturers, researchers, academicians, government agency representatives, watershed stewards, and administrators to examine technologies related to watershed assessment, monitoring, and restoration. Sessions included presentations and panel discussions concerning watershed analysis and modeling, decision-making considerations, and emerging technologies. The final session examined remediation and mitigation technologies to expedite the preservation of watershed ecosystems.

  18. 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)

  19. 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.

  20. ARM - PI Product - CCPP-ARM Parameterization Testbed Model Forecast Data

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

    ProductsCCPP-ARM Parameterization Testbed Model Forecast Data ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : CCPP-ARM Parameterization Testbed Model Forecast Data Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are

  1. 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.

  2. Alternative Fuels Data Center: Publications

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

    Publications Printable Version Share this resource Send a link to Alternative Fuels Data Center: Publications to someone by E-mail Share Alternative Fuels Data Center: Publications on Facebook Tweet about Alternative Fuels Data Center: Publications on Twitter Bookmark Alternative Fuels Data Center: Publications on Google Bookmark Alternative Fuels Data Center: Publications on Delicious Rank Alternative Fuels Data Center: Publications on Digg Find More places to share Alternative Fuels Data

  3. Alternative Fuels Data Center: Biobutanol

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

    Biobutanol to someone by E-mail Share Alternative Fuels Data Center: Biobutanol on Facebook Tweet about Alternative Fuels Data Center: Biobutanol on Twitter Bookmark Alternative Fuels Data Center: Biobutanol on Google Bookmark Alternative Fuels Data Center: Biobutanol on Delicious Rank Alternative Fuels Data Center: Biobutanol on Digg Find More places to share Alternative Fuels Data Center: Biobutanol on AddThis.com... More in this section... Biobutanol Dimethyl Ether Methanol Renewable

  4. Alternative Fuels Data Center: Methanol

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

    Methanol to someone by E-mail Share Alternative Fuels Data Center: Methanol on Facebook Tweet about Alternative Fuels Data Center: Methanol on Twitter Bookmark Alternative Fuels Data Center: Methanol on Google Bookmark Alternative Fuels Data Center: Methanol on Delicious Rank Alternative Fuels Data Center: Methanol on Digg Find More places to share Alternative Fuels Data Center: Methanol on AddThis.com... More in this section... Biobutanol Dimethyl Ether Methanol Renewable Hydrocarbon Biofuels

  5. Alternative Fuels Data Center: Newsletters

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

    Publications » Newsletters Printable Version Share this resource Send a link to Alternative Fuels Data Center: Newsletters to someone by E-mail Share Alternative Fuels Data Center: Newsletters on Facebook Tweet about Alternative Fuels Data Center: Newsletters on Twitter Bookmark Alternative Fuels Data Center: Newsletters on Google Bookmark Alternative Fuels Data Center: Newsletters on Delicious Rank Alternative Fuels Data Center: Newsletters on Digg Find More places to share Alternative Fuels

  6. Alternative Fuels Data Center: Ridesharing

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

    Ridesharing to someone by E-mail Share Alternative Fuels Data Center: Ridesharing on Facebook Tweet about Alternative Fuels Data Center: Ridesharing on Twitter Bookmark Alternative Fuels Data Center: Ridesharing on Google Bookmark Alternative Fuels Data Center: Ridesharing on Delicious Rank Alternative Fuels Data Center: Ridesharing on Digg Find More places to share Alternative Fuels Data Center: Ridesharing on AddThis.com... More in this section... Idle Reduction Parts & Equipment

  7. Alternative Fuels Data Center: Telework

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

    Telework to someone by E-mail Share Alternative Fuels Data Center: Telework on Facebook Tweet about Alternative Fuels Data Center: Telework on Twitter Bookmark Alternative Fuels Data Center: Telework on Google Bookmark Alternative Fuels Data Center: Telework on Delicious Rank Alternative Fuels Data Center: Telework on Digg Find More places to share Alternative Fuels Data Center: Telework on AddThis.com... More in this section... Idle Reduction Parts & Equipment Maintenance Driving Behavior

  8. Alternative Fuels Data Center: Disclaimer

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

    Disclaimer to someone by E-mail Share Alternative Fuels Data Center: Disclaimer on Facebook Tweet about Alternative Fuels Data Center: Disclaimer on Twitter Bookmark Alternative Fuels Data Center: Disclaimer on Google Bookmark Alternative Fuels Data Center: Disclaimer on Delicious Rank Alternative Fuels Data Center: Disclaimer on Digg Find More places to share Alternative Fuels Data Center: Disclaimer on AddThis.com... Disclaimer The U.S. Department of Energy's (DOE) Alternative Fuels Data

  9. Alternative Fuels Data Center: Publications

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

    Publications Printable Version Share this resource Send a link to Alternative Fuels Data Center: Publications to someone by E-mail Share Alternative Fuels Data Center: Publications on Facebook Tweet about Alternative Fuels Data Center: Publications on Twitter Bookmark Alternative Fuels Data Center: Publications on Google Bookmark Alternative Fuels Data Center: Publications on Delicious Rank Alternative Fuels Data Center: Publications on Digg Find More places to share Alternative Fuels Data

  10. Alternative Fuels Data Center

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

    Plug-in Electric Vehicle (PEV) Charging Rate Incentive - The Salt River Project (SRP) SRP offers an experimental time-of-use (TOU) electricity rate for the first 10,000 customers with a qualified PEV. The TOU rate is for the super off-peak hours between 11pm and 5am daily. Participation is subject to certain equipment availability and other restrictions. For more information, see the SRP Electric Vehicle Price Plan website. Point of Contact Kathy Knoop Senior Scientist and Environmental

  11. OFFICE OF RIVER PROTECTION P.O. Box 450, MSIN H6-60

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

    MAR 05 2013 1 3-CPM-0037 Mr. Charles A. Simpson, Contracts Manager Washington River Protection Solutions LLC 2440 Stevens Center Place Richland, WA 99354 Mr. Simpson: CONTRACT NO. DE-AC27-08RV 14800 - TRANSMITTAL OF CONTRACT MODIFICATION 200 The purpose of this letter is to transmit the fully executed Contract Modification 200. This Change Order modification is to direct Washington River Protection Solutions LLC (WRPS) to begin field testing of an alternative dome cutting technology and

  12. MORTALITY AMONG WORKERS AT THE SAVANNAH RIVER NUCLEAR FUELS PRODUCTION FACILITY

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

    MORTALITY AMONG WORKERS AT THE SAVANNAH RIVER NUCLEAR FUELS PRODUCTION FACILITY Donna L. Cragle and Janice P. Watkins, Center for Epidemiologic Research; Kathryn Robertson-DeMers, Bechtel Hanford, Inc. Donna Cragle, Oak Ridge Associated Universities, P.O. Box 117, Oak Ridge, TN 37831-0117 Key Words: mortality study, radiation exposure, leukemia, occupational cohort, trend test INTRODUCTION Since 1952 the Savannah River Site (SRS), located in Aiken, South Carolina, has operated as a Department of

  13. Look to the River Columbia River Opens New Opportunities for...

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

    Volume One Film Collection Volume Two 75th Anniversary Hydropower in the Northwest Woody Guthrie Videos Strategic Direction Branding & Logos Power of the River History Book...

  14. PNNL: News Center - Science Highlights

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

    highlights News Center News Center Home News Releases 50th Anniversary Features Social Media Directory PNNL Leadership Our Experts Subscribe to Email News Service RSS...

  15. Building America Solution Center Webinar

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

    Building America Solution Center Webinar July 22, 2015 Put New Tools and Content on the Building America Solution Center to Work for You CHRISSI ANTONOPOULOS Pacific NW National ...

  16. Learning Center | Argonne National Laboratory

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

    Argonne Learning Center The Argonne Learning Center contains four student research laboratories, three learning classrooms and a historic 1960's control room facility where...

  17. DOE New Research Center

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

    is Part of New Research Center to do Energy Research at LSU The Department of Energy has awarded LSU a $12.5 million grant to set up an Energy Frontier Research Center (EFRC) to find greener and better sources of energy as efficient substitutes for fossil fuel. The EFRC will be headed by Jerry Spivey, McLaurin Shivers Professor of Chemical Engineering at LSU. His team will consist of 21 researchers from across nine institutions. The multi-disciplinary research project will utilize, among other

  18. WIPP Information Center

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

    WIPP milestones are noted on banners at the WIPP Experience Exhibit at the Skeen-Whitlock Building in Carlsbad. The WIPP Experience Exhibit at 4021 National Parks Highway in Carlsbad, N.M. WIPP Information Center Address: 4021 National Parks Highway Carlsbad, NM 88220 Toll-free telephone number: 1-800-336-WIPP (9477) E-mail inquiries are welcomed For emergency contact information, please refer to the Joint Information Center page. Media Contacts Tim Runyon U.S. Department of Energy WIPP Recovery

  19. American Society of Mechanical Engineers/Savannah River National Laboratory

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

    (ASME/SRNL) Materials and Components for Hydrogen Infrastructure Codes and Standards Workshop and the DOE Hydrogen Pipeline Working Group Meeting Attendee List | Department of Energy Meeting Attendee List American Society of Mechanical Engineers/Savannah River National Laboratory (ASME/SRNL) Materials and Components for Hydrogen Infrastructure Codes and Standards Workshop and the DOE Hydrogen Pipeline Working Group Meeting Attendee List Sponsored by SRNL, ASME, and DOE held at the Center for

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

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

    ... The IBM Thomas J. Watson Research Center and its partners will integrate big data ... Similar to the recently demonstrated IBM Watson computer system, the proposed Watt-sun ...

  1. Smith River Rancheria- 2006 Project

    Broader source: Energy.gov [DOE]

    Smith River Rancheria has a strong commitment to becoming energy self-sufficient, reduce their energy costs, and stimulate economic development in the community.

  2. about Savannah River National Laboratory

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

    River National Laboratory (SRNL) maintains an active role in the research of tritium's impact on metal and the functionality of weapons systems. Not only does SRNL closely...

  3. RiverHeath Appleton, WI

    Broader source: Energy.gov [DOE]

    The goal of the project is to produce a closed loop neighborhood-wide geothermal exchange system using the river as the source of heat exchange.

  4. Employment | Savannah River Ecology Laboratory

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

    Openings are posted on the UGA Human Resources website. To search for employment opportunities at SREL, select Department 267 (Savannah River Ecology Laboratory). UGA HR...

  5. Carolinas Energy Career Center

    SciTech Connect (OSTI)

    Classens, Anver; Hooper, Dick; Johnson, Bruce

    2013-03-31

    Central Piedmont Community College (CPCC), located in Charlotte, North Carolina, established the Carolinas Energy Career Center (Center) - a comprehensive training entity to meet the dynamic needs of the Charlotte region's energy workforce. The Center provides training for high-demand careers in both conventional energy (fossil) and renewable energy (nuclear and solar technologies/energy efficiency). CPCC completed four tasks that will position the Center as a leading resource for energy career training in the Southeast: Development and Pilot of a New Advanced Welding Curriculum, Program Enhancement of Non-Destructive Examination (NDE) Technology, Student Support through implementation of a model targeted toward Energy and STEM Careers to support student learning, Project Management and Reporting. As a result of DOE funding support, CPCC achieved the following outcomes: Increased capacity to serve and train students in emerging energy industry careers; Developed new courses and curricula to support emerging energy industry careers; Established new training/laboratory resources; Generated a pool of highly qualified, technically skilled workers to support the growing energy industry sector.

  6. Alternative Fuels Data Center

    SciTech Connect (OSTI)

    2013-06-01

    Fact sheet describes the Alternative Fuels Data Center, which provides information, data, and tools to help fleets and other transportation decision makers find ways to reduce petroleum consumption through the use of alternative and renewable fuels, advanced vehicles, and other fuel-saving measures.

  7. Center Objective | Center for Bio-Inspired Solar Fuel Production

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

    Center Objective The Science Center Publications Graduate Research opportunities Undergraduate research opportunities EFRC-501 graduate class Seminar schedules Center Objective Solar Fuel Our objective is to adapt the fundamental principles of natural photosynthesis to the man-made production of hydrogen or other fuels from sunlight A multidisciplinary team of the Center for Bio-Inspired Solar Fuel Production (BISfuel) researches artificial photosynthetic antennas and reaction centers that

  8. River and Plateau Committee

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

    November 2012) Page 1 Area RAP Committee Area of Interest Issue Manager(s) (*denotes lead) Other interested committee members Focus/Product For FY2012 Framing Questions/Issues (Articulated by Issue Managers) Cross- cutting River Corridor 100 & 300 Areas (in order of expected document release) * 300 Area * 100 K Area * 100 F Area * 100 D & H Areas * 100 N Area * 100 B/C Area Shelley Cimon Dale Engstrom* Liz Mattson Jean Vanni Gerry Pollet Bob Suyama Wade Riggsbee 6 RODs RI/FS and Proposed

  9. River and Plateau Committee

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

    December 2011) Page 1 Area RAP Committee Area of Interest Issue Manager(s) (*denotes lead) Other interested committee members Focus/Product For FY2012 Framing Questions/Issues (Articulated by Issue Managers) Cross- cutting River Corridor 100 & 300 Areas * 100 B/C Area * 100 K Area * 100 N Area * 100 D & H Areas * 100 F Area * 300 Area Shelley Cimon Dale Engstrom* Liz Mattson Jean Vanni Gerry Pollet Bob Suyama Wade Riggsbee 6 RODs RI/FS and Proposed Plans to be issued between now &

  10. North Sky River | Open Energy Information

    Open Energy Info (EERE)

    Sky River Jump to: navigation, search Name North Sky River Facility North Sky River Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra...

  11. PNNL Electricity Infrastructure Operations Center | Open Energy...

    Open Energy Info (EERE)

    Electricity Infrastructure Operations Center Jump to: navigation, search Logo: Electricity Infrastructure Operations Center Name Electricity Infrastructure Operations Center...

  12. 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.

  13. 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

  14. 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.

  15. Energy Savings Forecast of Solid-State Lighting in General Illumination

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

    Applications | Department of Energy Forecast of Solid-State Lighting in General Illumination Applications Energy Savings Forecast of Solid-State Lighting in General Illumination Applications PDF icon energysavingsforecast14.pdf More Documents & Publications Energy Savings Potential of Solid-State Lighting in General Illumination Applications - Report LED ADOPTION REPORT Solid-State Lighting R&D

  16. 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.

  17. Savannah River Site | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Operations / Acquisition and Project Management / Performance Evaluations / Savannah River Site Savannah River Site FY 2015 FY 2015 Performance Evaluation Plan, Savannah River Nuclear Solitions, LLC FY 2014 FY 2014 Performance Evaluation Report, Savannah River Nuclear Solutions, LLC FY 2014 Performance Evaluation Report, Fee Determination Letter, Savannah River Nuclear Solutions, LLC FY 2014 Performance Evaluation Plan, Savannah River Nuclear Solutions, LLC FY 2013 FY 2013 Performance Evaluation

  18. Biosciences: Emery Station Operations Center (ESOC)

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

    Biosciences: Emery Station Operations Center (ESOC

  19. Thurston Energy Outreach Center

    SciTech Connect (OSTI)

    Pierce, P.; Young, M.

    1984-09-01

    In Olympia, the Washington Energy Extension Service program is provided by the Olympic Renewable Resources Association's Energy Outreach Center. The Center has provided Thurston County residents with consistent and reliable information on energy conservation and renewable resources since 1980. During those four years, a seasonal pattern of activities has developed which reflects strong shifts in class attendance and inquiries by EOC users over the course of the year. Classes include: design of superinsulated passive solar and earth sheltered homes; sunspace design, coldframe construction and tax credits for solar energy systems; caulking, weatherstripping, storm windows and chimney cleaning; and solar and wood hot water systems. All are scheduled according to dictates of seasonal needs and interests.

  20. Hood River Passive House

    SciTech Connect (OSTI)

    Hales, David

    2014-01-01

    The Hood River Passive Project was developed by Root Design Build of Hood River Oregon using the Passive House Planning Package (PHPP) to meet all of the requirements for certification under the European Passive House standards. The Passive House design approach has been gaining momentum among residential designers for custom homes and BEopt modeling indicates that these designs may actually exceed the goal of the U.S. Department of Energy's (DOE) Building America program to "reduce home energy use by 30%-50% (compared to 2009 energy codes for new homes). This report documents the short term test results of the Shift House and compares the results of PHPP and BEopt modeling of the project. The design includes high R-Value assemblies, extremely tight construction, high performance doors and windows, solar thermal DHW, heat recovery ventilation, moveable external shutters and a high performance ductless mini-split heat pump. Cost analysis indicates that many of the measures implemented in this project did not meet the BA standard for cost neutrality. The ductless mini-split heat pump, lighting and advanced air leakage control were the most cost effective measures. The future challenge will be to value engineer the performance levels indicated here in modeling using production based practices at a significantly lower cost.

  1. Hood River Passive House

    SciTech Connect (OSTI)

    Hales, D.

    2014-01-01

    The Hood River Passive Project was developed by Root Design Build of Hood River Oregon using the Passive House Planning Package (PHPP) to meet all of the requirements for certification under the European Passive House standards. The Passive House design approach has been gaining momentum among residential designers for custom homes and BEopt modeling indicates that these designs may actually exceed the goal of the U.S. Department of Energy's (DOE) Building America program to reduce home energy use by 30%-50% (compared to 2009 energy codes for new homes). This report documents the short term test results of the Shift House and compares the results of PHPP and BEopt modeling of the project. The design includes high R-Value assemblies, extremely tight construction, high performance doors and windows, solar thermal DHW, heat recovery ventilation, moveable external shutters and a high performance ductless mini-split heat pump. Cost analysis indicates that many of the measures implemented in this project did not meet the BA standard for cost neutrality. The ductless mini-split heat pump, lighting and advanced air leakage control were the most cost effective measures. The future challenge will be to value engineer the performance levels indicated here in modeling using production based practices at a significantly lower cost.

  2. DOE Bioenergy Research Center

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

    Bioenergy Research Center - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs

  3. Center for Integrated Nanotechnologies

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

    ADEPS » MPA » MPA-CINT Center for Integrated Nanotechnologies Nanomaterials integration is one of many approaches we take in addressing a range of challenges, from human health to national defense. Contact Us CINT Co-Director Quanxi Jia Email Deputy Group Leader Kristin Omberg Email Group Office (505) 667-9243 First in-situ images of void collapse in explosives Los Alamos researchers and collaborators demonstrated a crucial diagnostic for studying how voids affect explosives under shock

  4. LANSCE | Lujan Center | Instruments

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

    Lujan Instruments Lujan Center Flight Paths Instrument Suite by Science Crystallography: NPDF, HIPD, HIPPO,PCS Engineering and Strain: HIPPO, SMARTS, NPDF Disordered Materials: NPDF, HIPD, HIPPO Large Scale Structures: LQD, ASTERIX Magnetism: ASTERIX, HIPD, HIPPO Biology: PCS, LQD Neutron Imaging: HIPPO, SMARTS, NPDF Nuclear Science and Technology: DANCE, FP5, FP12 Instrument Suite by Technique Powder Diffractometers: HIPD, HIPPO, NPDF, SMARTS Engineering Diffraction: SMARTS Reflectometer:

  5. Center for Functional Nanomaterials

    ScienceCinema (OSTI)

    BNL

    2009-09-01

    Staff from Brookhaven's new Center for Functional Nanomaterials (CFN) describe how this advanced facility will focus on the development and understanding of nanoscale materials. The CFN provides state-of-the-art capabilities for the fabrication and study of nanoscale materials, with an emphasis on atomic-level tailoring to achieve desired properties and functions. The overarching scientific theme of the CFN is the development and understanding of nanoscale materials that address the Nation's challenges in energy security.

  6. Energy Frontier Research Centers

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

    Centers Science for our Nation's Energy Future US Department of Energy Office of Science www.energyfrontier.us 43 ABOVE: CFSES addresses safe, secure and economical underground storage of CO2 by integrating multiple scientific disciplines to understand the various processes occurring from molecular to field scales. TOP: CFSES combines experimental data (top left) with state-of-the-art simulations (top right) to create tools that will help determine what will happen when CO2 is injected

  7. Earth Sciences Research Center

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

    Sciences Research Center - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

  8. Building America Solution Center

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

    Solution Center 2014 Building Technologies Office Peer Review Michael Baechler, michael.baechler@pnnl.gov Pacific Northwest National Laboratory Project Summary Timeline: Start date: October 2011 Planned end date: Ongoing Key Milestones 1. Launch supporting Energy Star, January 2013 2. Zero Energy Ready Home launch, June 2014 3. Existing home launch, winter 2015 Budget: Total DOE $ to date: $2,604,000 Total future DOE $: $4,500,000 (2 additional years development - 3 years of app and content

  9. Doyle Conservation Center (DCC)

    High Performance Buildings Database

    Leominster, MA Built on a 50-acre reservation in Leominster, the Doyle Conservation Center (DCC) houses core Trustees staff and serves as a central training facility that showcases the organization's conservation activities. The DCC's LEED Gold rating reflects the mission of the Trustees of Reservations, which is "To preserve, for public use and enjoyment, properties of exceptional scenic, historic, and ecological value in Massachusetts." The DCC is accessible to the public and is often rented out by various groups and organizations.

  10. National Fertilizer Development Center

    Office of Legacy Management (LM)

    h-L National Fertilizer Development Center May 15, 1980 nww Hr. William Et Mott, Director Environmental Control Technology Division Office of Environment Dcpartiaent of Energy Washington, DC 20545 Dear Mr. Mott: This is in response to your letter of May 5 requesting ccmments on a report dated Xarct; 1930 which summarizes a preliminary radiological survey of facilities used in the early 1950's for studies of recovery of uranium from leached zone ore. I have made a few suggested changes to the

  11. Alternative Fuels Data Center

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

    Bio-Based Transportation Research Funding The Surface Transportation Research, Development, and Deployment (STRDD) Program funds activities that promote innovation in transportation infrastructure, services, and operations. A portion of the funding made available to STRDD is set aside for the Bio-Based Transportation Research program to carry out bio-based research of national importance at research centers and through the National Biodiesel Board. For more information, see the STRDD Program

  12. Alternative Fuels Data Center

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

    Mower Incentive - Missouri Propane Education & Research Council Propane commercial mower incentives are available to public and private commercial mowing fleets registered to conduct business in Missouri. New propane commercial mowers are eligible for 15% of the cost of the equipment. Dedicated propane mower conversions are eligible for $750. New center articulated or oscillating frame tractors with at least a 32 horsepower engine are eligible for $1,000. Incentive recipients must

  13. Alternative Fuels Data Center

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

    Hydrogen Implementation Working Group A hydrogen implementation working group, consisting of federal, state, and county agency representatives and industry stakeholders, facilitates the establishment of infrastructure and policies across all state agencies with the goal of promoting the expansion of hydrogen-based energy in Hawaii. The Director of the Hawaii Center for Advanced Transportation Technologies serves as the state Hydrogen Implementation Coordinator (Coordinator). The Coordinator must

  14. Green River Biodiesel Incorporated | Open Energy Information

    Open Energy Info (EERE)

    River Biodiesel Incorporated Jump to: navigation, search Name: Green River Biodiesel Incorporated Place: Houston, Texas Zip: 77056 Product: Biodiesel project developer and...

  15. Withlacoochee River Elec Coop | Open Energy Information

    Open Energy Info (EERE)

    Withlacoochee River Elec Coop Jump to: navigation, search Name: Withlacoochee River Elec Coop Place: Florida Phone Number: 352-567-5133 Website: www.wrec.net Twitter: https:...

  16. Independent Oversight Activity Report, Savannah River Site -...

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

    - February 2014 Independent Oversight Activity Report, Savannah River Site - February 2014 February 2014 Operational Awareness Visit of the Savannah River Site...

  17. Kings River Conservation Dist | Open Energy Information

    Open Energy Info (EERE)

    Kings River Conservation Dist Jump to: navigation, search Name: Kings River Conservation Dist Place: California Phone Number: 559-237-5567 Website: www.krcd.org Facebook: https:...

  18. Wild and Scenic Rivers | Open Energy Information

    Open Energy Info (EERE)

    Scenic Rivers Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleWildandScenicRivers&oldid612228" Feedback Contact needs updating Image...

  19. Beijing Haohua Rivers International Water Engineering Consulting...

    Open Energy Info (EERE)

    Haohua Rivers International Water Engineering Consulting Co Ltd Jump to: navigation, search Name: Beijing Haohua Rivers International Water Engineering Consulting Co.Ltd. Place:...

  20. River Hydrokinetic Resource Atlas | Open Energy Information

    Open Energy Info (EERE)

    dress":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Language: English River Hydrokinetic Resource Atlas Screenshot References: EPRI1 River Atlas2 The...

  1. Grand River Dam Authority | Open Energy Information

    Open Energy Info (EERE)

    River Dam Authority Place: Oklahoma Phone Number: 918-256-5545 Website: www.grda.com Twitter: @okgrda Facebook: https:www.facebook.compagesGrand-River-Dam-Authority...

  2. Voluntary Protection Program Onsite Review, Washington River...

    Energy Savers [EERE]

    Washington River Protection Solutions, LLC, Hanford - Feb 2014 Voluntary Protection Program Onsite Review, Washington River Protection Solutions, LLC, Hanford - Feb 2014 February...

  3. New Savannah River Site Deputy Manager Named

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. DOEs Savannah River Operations Office selected Terrel Terry J. Spears as the deputy manager of the Savannah River Site (SRS) this month.

  4. Project Management Institute Highlights Savannah River Nuclear...

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

    Institute Highlights Savannah River Nuclear Solutions in Publication Project Management Institute Highlights Savannah River Nuclear Solutions in Publication February 6, 2014 -...

  5. Flambeau River Biofuels Demonstration-Scale Biorefinery

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

    in Wisconsin (NewPage Corporation in Wisconsin Rapids and Flambeau River Papers, LLC in Park Falls). NewPage and Flambeau River have demonstrated successful collaboration on...

  6. Savannah River Site | Department of Energy

    Office of Environmental Management (EM)

    Savannah River Site | June 2011 Aerial View Savannah River Site (SRS) has mission responsibilities in nuclear weapons stockpile stewardship by ensuring the safe and reliable ...

  7. Enforcement Letter, Westinghouse Savannah River Company- April 19, 2004

    Broader source: Energy.gov [DOE]

    Issued to Westinghouse Savannah River Company related to Employee Reprisal at the Savannah River Site

  8. Enforcement Letter, Westinghouse Savannah River Company- November 14, 2003

    Office of Energy Efficiency and Renewable Energy (EERE)

    Issued to Westinghouse Savannah River Company related to Criticality Safety Violations at the Savannah River Site

  9. 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.

  10. 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

  11. Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

    Broader source: Energy.gov [DOE]

    Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

  12. Staff > Center Alumni > The Energy Materials Center at Cornell

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

    River National Lab ttt45@cornell.edu List Image Giang Vo Research Investigator - Dupont gdv8@cornell.edu List Image Deli Wang Professor - Huazhong University of Science &...

  13. Center for Inverse Design: Organization of the Center for Inverse...

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

    serve as primary point of contact with the U.S. Department of Energy (DOE) Office of Science; direct and manage all Center technical operations; lead the Center's Energy...

  14. Energy Frontier Research Center Center for Materials Science of Nuclear

    Office of Scientific and Technical Information (OSTI)

    Fuels (Technical Report) | SciTech Connect Frontier Research Center Center for Materials Science of Nuclear Fuels Citation Details In-Document Search Title: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels Scientific Successes * The first phonon density of states (PDOS) measurements for UO2 to include anharmonicity were obtained using time-of-flight inelastic neutron scattering at the Spallation Neutron Source (SNS), and an innovative, experimental-based

  15. Energy Frontier Research Center Center for Materials Science of Nuclear

    Office of Scientific and Technical Information (OSTI)

    Fuels (Technical Report) | SciTech Connect Technical Report: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels Citation Details In-Document Search Title: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize

  16. Energy Frontier Research Center Center for Materials Science of Nuclear

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

    Fuels (Technical Report) | SciTech Connect Technical Report: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels Citation Details In-Document Search Title: Energy Frontier Research Center Center for Materials Science of Nuclear Fuels Scientific Successes * The first phonon density of states (PDOS) measurements for UO2 to include anharmonicity were obtained using time-of-flight inelastic neutron scattering at the Spallation Neutron Source (SNS), and an innovative,

  17. CLSF (Center for Lignocellulose Structure and Formation) - About the Center

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

    About the Center EFRCs (Energy Frontier Research Centers) The Center for Lignocellulose Structure and Formation (CLSF) is one of 46 Energy Frontier Research Centers (EFRC) initially established in 2009 by the US Department of Energy to accelerate research to meet critical energy challenges of the 21st century. EFRCs integrate the expertise of multiple leading scientific investigators to enable fundamental research of a scope and complexity that would not be possible with the small group research

  18. Solar Technology Center

    SciTech Connect (OSTI)

    Boehm, Bob

    2011-04-27

    The Department of Energy, Golden Field Office, awarded a grant to the UNLV Research Foundation (UNLVRF) on August 1, 2005 to develop a solar and renewable energy information center. The Solar Technology Center (STC) is to be developed in two phases, with Phase I consisting of all activities necessary to determine feasibility of the project, including design and engineering, identification of land access issues and permitting necessary to determine project viability without permanently disturbing the project site, and completion of a National Environmental Policy Act (NEPA) Environmental Assessment. Phase II is the installation of infrastructure and related structures, which leads to commencement of operations of the STC. The STC is located in the Boulder City designated 3,000-acre Eldorado Valley Energy Zone, approximately 15 miles southwest of downtown Boulder City and fronting on Eldorado Valley Drive. The 33-acre vacant parcel has been leased to the Nevada Test Site Development Corporation (NTSDC) by Boulder City to accommodate a planned facility that will be synergistic with present and planned energy projects in the Zone. The parcel will be developed by the UNLVRF. The NTSDC is the economic development arm of the UNLVRF. UNLVRF will be the entity responsible for overseeing the lease and the development project to assure compliance with the lease stipulations established by Boulder City. The STC will be operated and maintained by University of Nevada, Las Vegas (UNLV) and its Center for Energy Research (UNLV-CER). Land parcels in the Eldorado Valley Energy Zone near the 33-acre lease are committed to the construction and operation of an electrical grid connected solar energy production facility. Other projects supporting renewable and solar technologies have been developed within the energy zone, with several more developments in the horizon.

  19. Providence Newberg Medical Center

    High Performance Buildings Database

    Newberg, Oregon In 2002, Providence Health & Services began planning a new 188,000 square foot medical center in Newberg, Oregon to respond to the growing community's need for accessible health care. Since this was Providence's first new hospital in almost thirty years, its leaders decided to approach the project through innovative planning, design, and construction, including the achievement of lifecycle energy savings and a potential LEED certification. The hospital is comprised of 40 inpatient beds with views out to the surrounding rural landscape or into lushly planted internal courtyards.

  20. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2005-11-01

    The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

  1. Valley Forge Corporate Center

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

    55 Jefferson Ave. Valley Forge Corporate Center Norristown, PA 19403-2497 Pauline Foley Assistant General Counsel 610.666.8248 | Fax - 610.666.8211 foleyp@pjm.com October 30, 2013 Via Electronic Mail: juliea.smith@hq.doe.gov Christopher.lawrence@hq.doe.gov Julie A. Smith Office of Electricity Delivery and Energy Reliability Mail Code: OE-20 U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585 Re: Department of Energy - Improving Performance of Federal Permitting and

  2. Alternative Fuels Data Center

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

    Do alternative fuel vehicles (AFVs) improve air quality? How does the use of alternative fuels affect smog formation? You may find answers to these and other questions through the U.S. Department of Energy's (DOE) Alternative Fuels Data Center (AFDC)-the nation's most com- prehensive repository of perfor- mance data and general informa- tion on AFVs. To date, more than 600 vehi- cles-including light-duty cars, trucks, vans, transit buses, and heavy-duty trucks-have been tested on various

  3. Alternative Fuels Data Center

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

    Natural Gas Vehicle (NGV) and Fueling Infrastructure Rebates - Texas Gas Service The Texas Gas Service Conservation Program offers a rebate of up to $2,000 for the purchase of a qualified NGV or $3,000 for the conversion of a gasoline powered vehicle to operate on natural gas. The rebate is available for up to five vehicles per customer, and only centers certified by the Railroad Commission of Texas may perform conversions. A rebate of $1,000 is also available for the purchase of a natural gas

  4. Electric power transmission for a Hanford Nuclear Energy Center (HNEC)

    SciTech Connect (OSTI)

    Harty, H.; Dowis, W.J.

    1983-06-01

    The original study of transmission for a Hanford Nuclear Energy Center (HNEC), which was completed in September 1975, was updated in June 1978. The present 1983 revision takes cognizance of recent changes in the electric power situation of the PNW with respect to: (1) forecasts of load growth, (2) the feasibility of early use of 1100 kV transmission, and (3) the narrowing opportunities for siting nuclear plants in the region. The purpose of this update is to explore and describe additions to the existing transmission system that would be necessary to accommodate three levels of generation at HNEC. Comparisons with a PNW system having new thermal generating capacity distributed throughout the marketing region are not made as was done in earlier versions.

  5. 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.

  6. Data center coolant switch

    DOE Patents [OSTI]

    Iyengar, Madhusudan K.; Parida, Pritish R.; Schultz, Mark D.

    2015-10-06

    A data center cooling system is operated in a first mode; it has an indoor portion wherein heat is absorbed from components in the data center, and an outdoor heat exchanger portion wherein outside air is used to cool a first heat transfer fluid (e.g., water) present in at least the outdoor heat exchanger portion of the cooling system during the first mode. The first heat transfer fluid is a relatively high performance heat transfer fluid (as compared to the second fluid), and has a first heat transfer fluid freezing point. A determination is made that an appropriate time has been reached to switch from the first mode to a second mode. Based on this determination, the outdoor heat exchanger portion of the data cooling system is switched to a second heat transfer fluid, which is a relatively low performance heat transfer fluid, as compared to the first heat transfer fluid. It has a second heat transfer fluid freezing point lower than the first heat transfer fluid freezing point, and the second heat transfer fluid freezing point is sufficiently low to operate without freezing when the outdoor air temperature drops below a first predetermined relationship with the first heat transfer fluid freezing point.

  7. Resource Center | Department of Energy

    Energy Savers [EERE]

    Resource Center Resource Center Welcome! The Building Technologies Office (BTO) carries out technology research, development, market stimulation, and regulatory activities through an ongoing process of planning and analysis, implementation, and review. The BTO Resource Center includes links to documents and solution centers that guide the program management process and illustrate associated results and public benefits. Please email btoweb@ee.doe.gov with any questions. Emerging Technologies

  8. Information Center | Department of Energy

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

    Center Information Center The U.S. Department of Energy's (DOE) Office of Enterprise Assessments (EA) provides expert evaluations of management performance in safety, security and other areas by seasoned experts who are independent of line management. Information related to enforcement, safety, security, emergency management and cyber performance management is made available to the public in the EA Information Center. Enforcement Info Center The Department's Enforcement Office conducts

  9. Data Center Airflow Management Retrofit

    Broader source: Energy.gov [DOE]

    Case study bulletin describes the data center airflow management retrofit. The study includes information about how the data center energy densities (measured in power-use per square foot), increase energy savings for cooling, and how it can be realized by optimizing airflow pathways within the data center.

  10. 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.

  11. Energy Department Announces $2.5 Million to Improve Wind Forecasting |

    Office of Environmental Management (EM)

    Department of Energy .5 Million to Improve Wind Forecasting Energy Department Announces $2.5 Million to Improve Wind Forecasting January 8, 2015 - 12:00pm Addthis The Energy Department today announced $2.5 million for a new project to research the atmospheric processes that generate wind in mountain-valley regions. This in-depth research, conducted by Vaisala of Louisville, Colorado, will be used to improve the wind industry's weather models for short-term wind forecasts, especially for

  12. Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% |

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

    Department of Energy 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 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 forecasting accuracy by as much

  13. COMPUTATIONAL SCIENCE CENTER

    SciTech Connect (OSTI)

    DAVENPORT, J.

    2006-11-01

    Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to bring together researchers in these areas and to provide a focal point for the development of computational expertise at the Laboratory. These efforts will connect to and support the Department of Energy's long range plans to provide Leadership class computing to researchers throughout the Nation. Recruitment for six new positions at Stony Brook to strengthen its computational science programs is underway. We expect some of these to be held jointly with BNL.

  14. Raft River Idaho Magnetotelluric Data

    SciTech Connect (OSTI)

    Gregory Nash

    2015-05-13

    Raw magnetotelluric (MT) data covering the geothermal system at Raft River, Idaho. The data was acquired by Quantec Geoscience. This is a zipped file containing .edi raw MT data files.

  15. Enhancing Cloud Radiative Processes and Radiation Efficiency in the Advanced Research Weather Research and Forecasting (WRF) Model

    SciTech Connect (OSTI)

    Iacono, Michael J.

    2015-03-09

    The objective of this research has been to evaluate and implement enhancements to the computational performance of the RRTMG radiative transfer option in the Advanced Research version of the Weather Research and Forecasting (WRF) model. Efficiency is as essential as accuracy for effective numerical weather prediction, and radiative transfer is a relatively time-consuming component of dynamical models, taking up to 30-50 percent of the total model simulation time. To address this concern, this research has implemented and tested a version of RRTMG that utilizes graphics processing unit (GPU) technology (hereinafter RRTMGPU) to greatly improve its computational performance; thereby permitting either more frequent simulation of radiative effects or other model enhancements. During the early stages of this project the development of RRTMGPU was completed at AER under separate NASA funding to accelerate the code for use in the Goddard Space Flight Center (GSFC) Goddard Earth Observing System GEOS-5 global model. It should be noted that this final report describes results related to the funded portion of the originally proposed work concerning the acceleration of RRTMG with GPUs in WRF. As a k-distribution model, RRTMG is especially well suited to this modification due to its relatively large internal pseudo-spectral (g-point) dimension that, when combined with the horizontal grid vector in the dynamical model, can take great advantage of the GPU capability. Thorough testing under several model configurations has been performed to ensure that RRTMGPU improves WRF model run time while having no significant impact on calculated radiative fluxes and heating rates or on dynamical model fields relative to the RRTMG radiation. The RRTMGPU codes have been provided to NCAR for possible application to the next public release of the WRF forecast model.

  16. Dayao County Yupao River BasDayao County Yupao River Basin Hydro...

    Open Energy Info (EERE)

    Dayao County Yupao River BasDayao County Yupao River Basin Hydro electricity Development Co Ltd in Jump to: navigation, search Name: Dayao County Yupao River BasDayao County Yupao...

  17. 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.

  18. Integration of Behind-the-Meter PV Fleet Forecasts into Utility...

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

    Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations Clean Power Research logo.jpg This project will address the need for a more accurate approach ...

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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....

  4. 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 ...

  5. NOAA Teams Up with Department of Energy & Industry to Improve Wind Forecasts

    Broader source: Energy.gov [DOE]

    The growth of wind-generated power in the United States  is creating greater demand for improved wind forecasts. To address this need, the Department of Energy is working with NOAA and industry on...

  6. 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%.

  7. Forecasting Wind and Solar Generation: Improving System Operations, Greening the Grid

    SciTech Connect (OSTI)

    2016-01-01

    This document discusses improving system operations with forecasting and solar generation. By integrating variable renewable energy (VRE) forecasts into system operations, power system operators can anticipate up- and down-ramps in VRE generation in order to cost-effectively balance load and generation in intra-day and day-ahead scheduling. This leads to reduced fuel costs, improved system reliability, and maximum use of renewable resources.

  8. 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.

  9. Nuclear Theory Helps Forecast Neutron Star Temperatures | U.S. DOE Office

    Office of Science (SC) Website

    of Science (SC) Nuclear Theory Helps Forecast Neutron Star Temperatures Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3613 F: (301) 903-3833 E: Email Us More Information » 05.01.14 Nuclear Theory Helps Forecast Neutron

  10. 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.

  11. 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.)

  12. 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.)

  13. 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.

  14. DOE Announces Webinars on Solar Forecasting Metrics, the DOE Wind Vision,

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

    and More | Department of Energy Solar Forecasting Metrics, the DOE Wind Vision, and More DOE Announces Webinars on Solar Forecasting Metrics, the DOE Wind Vision, and More February 12, 2014 - 7:38pm Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can also watch archived webinars

  15. DOE to Extend Savannah River Nuclear Solutions Contract at Savannah River

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

    Site to September 2016 | Department of Energy to Extend Savannah River Nuclear Solutions Contract at Savannah River Site to September 2016 DOE to Extend Savannah River Nuclear Solutions Contract at Savannah River Site to September 2016 September 6, 2012 - 12:00pm Addthis Media Contact Bill Taylor 803-952-8564 bill.taylor@srs.gov Aiken, SC -- The Department of Energy's (DOE) Savannah River Operations Office today exercised its option to extend the current Savannah River Site Management and

  16. Savannah River Site: Plutonium Preparation Project (PuPP) at Savannah River

    Energy Savers [EERE]

    Site | Department of Energy Site: Plutonium Preparation Project (PuPP) at Savannah River Site Savannah River Site: Plutonium Preparation Project (PuPP) at Savannah River Site Full Document and Summary Versions are available for download PDF icon Savannah River Site: Plutonium Preparation Project (PuPP) at Savannah River Site PDF icon Summary - Plutonium Preparation Project at the Savannah River Site More Documents & Publications EIS-0283-S2: Interim Action Determination EIS-0283-S2:

  17. Center for Inverse Design: Principal Investigators in the Center for

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

    Inverse Design Principal Investigators in the Center for Inverse Design This page provides brief descriptions of the principal investigators within the Center for Inverse Design. More complete biographical summaries are also available. Principal investigators are organized within their research institutions-the National Renewable Energy Laboratory (NREL), Colorado School of Mines (CSM), Oregon State University (OSU), Northwestern University (NU), Stanford Linear Accelerator Center (SLAC),

  18. Snake River Plain Geothermal Region | Open Energy Information

    Open Energy Info (EERE)

    Survey At Snake River Plain Region (DOE GTP) Micro-Earthquake At Snake River Plain Geothermal Region (1976) Reflection Survey At Snake River Plain Region (DOE GTP)...

  19. Independent Oversight Activity Report, Office of River Protection...

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

    Office of River Protection - May 2013 Independent Oversight Activity Report, Office of River Protection - May 2013 May 2013 Operational Awareness Visit at the Office of River...

  20. Savannah River National Laboratory (SRNL) | Open Energy Information

    Open Energy Info (EERE)

    (Redirected from Savannah River National Laboratory) Jump to: navigation, search Logo: Savannah River National Laboratory Name: Savannah River National Laboratory Place: Aiken,...

  1. BLM Humboldt River Field Office | Open Energy Information

    Open Energy Info (EERE)

    River Field Office Jump to: navigation, search Name: BLM Humboldt River Field Office Abbreviation: Humboldt River Address: 5100 E. Winnemucca Blvd. Place: Winnemucca, Nevada Zip:...

  2. Voluntary Protection Program Onsite Review, Savannah River Remediation...

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

    Savannah River Remediation, Llc, Liquid Waste Contract, Savannah River Site - November 2014 Voluntary Protection Program Onsite Review, Savannah River Remediation, Llc, Liquid...

  3. 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.

  4. National Carbon Capture Center Launches Post-Combustion Test Center |

    Office of Environmental Management (EM)

    Department of Energy Carbon Capture Center Launches Post-Combustion Test Center National Carbon Capture Center Launches Post-Combustion Test Center June 6, 2011 - 2:32pm Addthis Jenny Hakun What does this mean for me? Commercial deployment of the processes tested here could cut carbon pollution. Innovation is important to finding ways to make energy cleaner. And testing the ideas and processes that researchers come up with is critical to moving ideas from the lab to the marketplace. That's

  5. National Carbon Capture Center Launches Post-Combustion Test Center |

    Office of Environmental Management (EM)

    Department of Energy Carbon Capture Center Launches Post-Combustion Test Center National Carbon Capture Center Launches Post-Combustion Test Center June 7, 2011 - 1:00pm Addthis Washington, D.C. - The recent successful commissioning of an Alabama-based test facility is another step forward in research that will speed deployment of innovative post-combustion carbon dioxide (CO2) capture technologies for coal-based power plants, according to the U.S. Department of Energy (DOE). Technologies

  6. Industrial Assessment Centers (IACs) | Department of Energy

    Office of Environmental Management (EM)

    Technical Assistance Industrial Assessment Centers (IACs) Industrial Assessment Centers (IACs) Industrial Assessment Centers (IACs) Small- and medium-sized manufacturers may be...

  7. BLM National Training Center | Open Energy Information

    Open Energy Info (EERE)

    National Training Center Jump to: navigation, search Logo: BLM National Training Center Name: BLM National Training Center Address: 9828 North 31st Avenue Place: Phoenix, AZ Zip:...

  8. Sandia Energy - Energy Frontier Research Center

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

    Energy Frontier Research Center Home Energy Research EFRCs Solid-State Lighting Science EFRC Energy Frontier Research Center Energy Frontier Research CenterTara...

  9. Natural Gas Technologies Center | Open Energy Information

    Open Energy Info (EERE)

    Technologies Center Jump to: navigation, search Logo: Natural Gas Technologies Center Name: Natural Gas Technologies Center Address: 1350, Nobel, Boucherville, Quebec, Canada...

  10. Western Cooling Efficiency Center | Open Energy Information

    Open Energy Info (EERE)

    Cooling Efficiency Center Jump to: navigation, search Name: Western Cooling Efficiency Center Place: Davis, CA Website: http: References: Western Cooling Efficiency Center 1...

  11. Clean Energy Solutions Center | Open Energy Information

    Open Energy Info (EERE)

    Center Jump to: navigation, search Logo: Clean Energy Solutions Center Name Clean Energy Solutions Center AgencyCompany Organization Clean Energy Ministerial Sector Energy Focus...

  12. Arizona Solar Center | Open Energy Information

    Open Energy Info (EERE)

    Center Jump to: navigation, search Logo: Arizona Solar Center Name: Arizona Solar Center Place: Mesa, Arizona Number of Employees: 1-10 Year Founded: 1999 Website:...

  13. Hydrogen Engine Center HEC | Open Energy Information

    Open Energy Info (EERE)

    Engine Center HEC Jump to: navigation, search Name: Hydrogen Engine Center (HEC) Place: Algona, Iowa Zip: IA 50511 Sector: Hydro, Hydrogen Product: The Hydrogen Engine Center (HEC)...

  14. Easton Pond Business Center | Open Energy Information

    Open Energy Info (EERE)

    Easton Pond Business Center Jump to: navigation, search Name Easton Pond Business Center Facility Easton Pond Business Center Sector Wind energy Facility Type Small Scale Wind...

  15. Minco Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Minco Wind Energy Center Facility Minco Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  16. Weatherford Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Weatherford Wind Energy Center Jump to: navigation, search Name Weatherford Wind Energy Center Facility Weatherford Wind Energy Center Sector Wind energy Facility Type Commercial...

  17. Mountaineer Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Mountaineer Wind Energy Center Jump to: navigation, search Name Mountaineer Wind Energy Center Facility Mountaineer Wind Energy Center Sector Wind energy Facility Type Commercial...

  18. Wyoming Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Wyoming Wind Energy Center Facility Wyoming Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  19. Vantage Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Vantage Wind Energy Center Facility Vantage Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  20. Oliver Wind Energy Center | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Center Jump to: navigation, search Name Oliver Wind Energy Center Facility Oliver Wind Energy Center Sector Wind energy Facility Type Commercial Scale Wind Facility...

  1. Center for Advanced Photophysics | Science

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

    Los Alamos National Laboratory National Renewable Energy Laboratory U.S. Department of Energy Home About The Center Science Publications News & Press Releases Center Science The research of this Center focuses on (1) novel physical principles for solar energy conversion, (2) charge manipulation and exploratory photovoltaic device structures, and (3) novel nanomaterials. Research Thrusts Diagram of three overlapping circles. The upper left circle is labeled as Novel Physical Principles and

  2. Center for Inverse Design: Publications

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

    Center the Inverse Design Highlights Read short descriptions of some recent successes by researchers within the Center for Inverse Design, an Energy Research Frontier Center led by the National Renewable Energy Laboratory. Illustration of Seebeck coefficient mapping instrument showing various components in an "exploded" view. Spatially Resolved Seebeck Coefficient Measurements An instrument for spatially resolved Seebeck coefficient measurements has been developed and applied to test

  3. Center for Advanced Solar Photophysics

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

    Welcome to the Center for Advanced Solar Photophysics (CASP) Solution-processed solar cells The goal of this center is to explore and exploit the unique physics of nanostructured materials to boost the efficiency of solar energy conversion through novel light-matter interactions, controlled excited-state dynamics, and engineered carrier-carrier coupling. Examples of phenomena that are studied in the center include field enhancement in metal nanostructures for improved light-harvesting and

  4. 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.

  5. Green River, Utah, Disposal Site Fact Sheet

    Office of Legacy Management (LM)

    Green River, Utah, Disposal Site This fact sheet provides information about the Uranium Mill Tailings Radiation Control Act of 1978 Title I disposal site near Green River, Utah. This site is managed by the U.S. Department of Energy Office of Legacy Management. Location of the Green River, Utah, Disposal Site Site Description and History The Green River disposal site is about 0.5 mile east of the Green River and 1.5 miles southeast of the city of Green River, Utah. The site consists of an

  6. Regency Centers | Open Energy Information

    Open Energy Info (EERE)

    with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration Partnership Year 2009 Link to project...

  7. ORISE: Center for Epidemiologic Research

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

    the Center for Epidemiologic Research (CER). CER has changed over time as worker health assessment needs have evolved. Since the early 1990s, CER researchers have concentrated on...

  8. Massachusetts realizes wind center dream

    Broader source: Energy.gov [DOE]

    The new testing center will be able to test blades longer than 50 meters, which currently can only be done overseas.

  9. Solar Energy Research Center (SERC)

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

    Solar Energy Research Center (SERC) Community Berkeley Global Campus Environmental Documents Tours Community Programs Friends of Berkeley Lab Navigate Section Community ...

  10. Ecologist for a Day | Savannah River Ecology Laboratory Environmental

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

    Outreach Program Be an Ecologist for a Day! The Outreach Program at the Savannah River Ecology Laboratory launched its popular "Ecologist for a Day" in the fall of 1995. Groups of elementary, middle and high school students visit the SREL Conference Center near Aiken, S.C., during the school year for a day-long program of hands-on environmental education activities, both outside and in. Teachers also learn how to create outdoor classroom stations on or near their campuses. The goal

  11. Concept Paper Savannah River Nuclear Solutions, LLC Savannah River Site

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

    Paper Savannah River Nuclear Solutions, LLC Savannah River Site Aiken, SC 29808 Michael S. Navetta, PE Manager- Energy Park Initiative (803) 952-8806 michael.navetta@srs.gov DRAFT Small Modular Reactor Demonstration Complex "One of the most promising areas is small modular reactors (SMRs). If we can develop this technology in the U.S. and build these reactors with American workers, we will have a key competitive edge. Our choice is clear: Develop these technologies today or import them

  12. 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.

  13. THE SNAKE RIVER PLAIN AQUIFER THE SNAKE RIVER...

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

    Reactor Area), the Radioactive Waste Management Complex, the Idaho Nuclear Technology and Engineering Center (formerly known as the Idaho Chemical Processing Plant) and the Central...

  14. Grays River Watershed Geomorphic Analysis

    SciTech Connect (OSTI)

    Geist, David R.

    2005-04-30

    This investigation, completed for the Pacific Northwest National Laboratory (PNNL), is part of the Grays River Watershed and Biological Assessment commissioned by Bonneville Power Administration under project number 2003-013-00 to assess impacts on salmon habitat in the upper Grays River watershed and present recommendations for habitat improvement. This report presents the findings of the geomorphic assessment and is intended to support the overall PNNL project by evaluating the following: 􀂃 The effects of historical and current land use practices on erosion and sedimentation within the channel network 􀂃 The ways in which these effects have influenced the sediment budget of the upper watershed 􀂃 The resulting responses in the main stem Grays River upstream of State Highway 4 􀂃 The past and future implications for salmon habi

  15. EA-273 Rainy River Energy Corporation | Department of Energy

    Energy Savers [EERE]

    Rainy River Energy Corporation EA-273 Rainy River Energy Corporation Order authorizing Rainy River Energy Corporation to export electric energy to Canada. PDF icon EA-273 Rainy River Energy Corporation More Documents & Publications EA-273-A

  16. EA-273-A Rainy River Energy Corporation | Department of Energy

    Energy Savers [EERE]

    -A Rainy River Energy Corporation EA-273-A Rainy River Energy Corporation Order authorizing Rainy River Energy Corporation to export electric energy to Canada. PDF icon EA-273-A Rainy River Energy Corporation More Documents & Publications EA-273

  17. PNNL Electricity Infrastructure Operations Center | Open Energy...

    Open Energy Info (EERE)

    PNNL Electricity Infrastructure Operations Center (Redirected from Electricity Infrastructure Operations Center) Jump to: navigation, search Logo: Electricity Infrastructure...

  18. Solar Energy Resource Center | Department of Energy

    Energy Savers [EERE]

    Resource Center Solar Energy Resource Center Sub Program Topic Resource Search Results Title Date Author SubProgram Topic Description

  19. Clean Energy Application Center

    SciTech Connect (OSTI)

    Freihaut, Jim

    2013-09-30

    The Mid Atlantic Clean Energy Application Center (MACEAC), managed by The Penn State College of Engineering, serves the six states in the Mid-Atlantic region (Pennsylvania, New Jersey, Delaware, Maryland, Virginia and West Virginia) plus the District of Columbia. The goals of the Mid-Atlantic CEAC are to promote the adoption of Combined Heat and Power (CHP), Waste Heat Recovery (WHR) and District Energy Systems (DES) in the Mid Atlantic area through education and technical support to more than 1,200 regional industry and government representatives in the region. The successful promotion of these technologies by the MACEAC was accomplished through the following efforts; (1)The MACEAC developed a series of technology transfer networks with State energy and environmental offices, Association of Energy Engineers local chapters, local community development organizations, utilities and, Penn State Department of Architectural Engineering alumni and their firms to effectively educate local practitioners about the energy utilization, environmental and economic advantages of CHP, WHR and DES; (2) Completed assessments of the regional technical and market potential for CHP, WHR and DE technologies application in the context of state specific energy prices, state energy and efficiency portfolio development. The studies were completed for Pennsylvania, New Jersey and Maryland and included a set of incentive adoption probability models used as a to guide during implementation discussions with State energy policy makers; (3) Using the technical and market assessments and adoption incentive models, the Mid Atlantic CEAC developed regional strategic action plans for the promotion of CHP Application technology for Pennsylvania, New Jersey and Maryland; (4) The CHP market assessment and incentive adoption model information was discussed, on a continuing basis, with relevant state agencies, policy makers and Public Utility Commission organizations resulting in CHP favorable incentive programs in New Jersey, Pennsylvania, Maryland and Delaware; (5) Developed and maintained a MACEAC website to provide technical information and regional CHP, WHR and DE case studies and site profiles for use by interested stakeholders in information transfer and policy discussions; (6) Provided Technical Assistance through feasibility studies and on site evaluations. The MACEAC completed 28 technical evaluations and 9 Level 1 CHP analyses ; and (7) the MACEAC provided Technical Education to the region through a series of 29 workshops and webinars, 37 technical presentations, 14 seminars and participation in 13 CHP conferences.

  20. Saving Energy at Data Centers

    SciTech Connect (OSTI)

    2007-10-12

    Data centers provide mission-critical computing functions essential to the daily operation of top U.S. economic, scientific, and technological organizations. These data centers consume large amounts of energy to run and maintain their computer systems, servers, and associated high-performance components.

  1. Publications | Savannah River National Environmental Park

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

    The Pauropoda (Myriapoda) of the Savannah River Plant, Aiken, South Carolina. Ulf Scheller. 1988. SRO-NERP-17. 99p. Download PDF Carolina Bays of the Savannah River Plant....

  2. An Inside Look at River Corridor

    Broader source: Energy.gov [DOE]

    In the seventh chapter of The Handford Story, the Energy Department takes a look at the River Corridor -- a 50-mile stretch of the Columbia River that flows through the Hanford site in southeast...

  3. Red River Biodiesel Ltd | Open Energy Information

    Open Energy Info (EERE)

    Ltd Jump to: navigation, search Name: Red River Biodiesel, Ltd. Place: Houston, Texas Zip: 77006 Product: Red River operates a biodiesel plant in Houstion, Texas with a capacity of...

  4. Preliminary Notice of Violation, Westinghouse Savannah River...

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

    River Company - EA-97-11 Preliminary Notice of Violation, Westinghouse Savannah River Company - EA 98-09 Preliminary Notice of Violation, Kaiser-Hill Company, LLC - EA-1999-06...

  5. Platte River Power Authority | Open Energy Information

    Open Energy Info (EERE)

    search Name: Platte River Power Authority Place: Colorado Website: www.prpa.org Facebook: https:www.facebook.comPlatteRiverPower Outage Hotline: 1-888-748-5113 References:...

  6. Enforcement Letter, Savannah River Ecology Laboratory- June 7, 2000

    Broader source: Energy.gov [DOE]

    Issued to Savannah River Ecology Laboratory related to Radioactive Material Control Deficiencies at the Savannah River Site

  7. Conceptual Model At Raft River Geothermal Area (1988) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Conceptual Model At Raft River Geothermal Area (1988) Exploration Activity Details Location Raft River...

  8. Conceptual Model At Raft River Geothermal Area (1977) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Conceptual Model At Raft River Geothermal Area (1977) Exploration Activity Details Location Raft River...

  9. Field Mapping At Raft River Geothermal Area (1977) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Raft River Geothermal Area (1977) Exploration Activity Details Location Raft River...

  10. Geophysical Method At Raft River Geothermal Area (1975) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geophysical Method At Raft River Geothermal Area (1975) Exploration Activity Details Location Raft River...

  11. Field Mapping At Raft River Geothermal Area (1980) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Raft River Geothermal Area (1980) Exploration Activity Details Location Raft River...

  12. Microearthquake surveys of Snake River plain and Northwest Basin...

    Open Energy Info (EERE)

    microearthquakes; Nevada; North America; passive systems; Pershing County Nevada; Raft River; reservoir rocks; seismic methods; seismicity; seismology; Snake River plain;...

  13. Core Analysis At Raft River Geothermal Area (1981) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Core Analysis At Raft River Geothermal Area (1981) Exploration Activity Details Location Raft River...

  14. Field Mapping At Raft River Geothermal Area (1990) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Raft River Geothermal Area (1990) Exploration Activity Details Location Raft River...

  15. Conceptual Model At Raft River Geothermal Area (1987) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Conceptual Model At Raft River Geothermal Area (1987) Exploration Activity Details Location Raft River...

  16. Conceptual Model At Raft River Geothermal Area (1990) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Conceptual Model At Raft River Geothermal Area (1990) Exploration Activity Details Location Raft River...

  17. Conceptual Model At Raft River Geothermal Area (1983) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Conceptual Model At Raft River Geothermal Area (1983) Exploration Activity Details Location Raft River...

  18. Aeromagnetic Survey At Raft River Geothermal Area (1981) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Aeromagnetic Survey At Raft River Geothermal Area (1981) Exploration Activity Details Location Raft River...

  19. Core Analysis At Raft River Geothermal Area (1976) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Core Analysis At Raft River Geothermal Area (1976) Exploration Activity Details Location Raft River...

  20. Geophysical Method At Raft River Geothermal Area (1977) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geophysical Method At Raft River Geothermal Area (1977) Exploration Activity Details Location Raft River...

  1. Exploratory Well At Raft River Geothermal Area (1977) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Exploratory Well At Raft River Geothermal Area (1977) Exploration Activity Details Location Raft River...

  2. Exploratory Well At Raft River Geothermal Area (1975) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Exploratory Well At Raft River Geothermal Area (1975) Exploration Activity Details Location Raft River...

  3. Tracer Testing At Raft River Geothermal Area (1983) | Open Energy...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Tracer Testing At Raft River Geothermal Area (1983) Exploration Activity Details Location Raft River...

  4. Aeromagnetic Survey At Raft River Geothermal Area (1978) | Open...

    Open Energy Info (EERE)

    search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Aeromagnetic Survey At Raft River Geothermal Area (1978) Exploration Activity Details Location Raft River...

  5. Savannah River Field Office | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Field Offices / Savannah River Field Office Savannah River Field Office Learn More Mixed Oxide (MOX) Fuel Fabrication Facility

  6. Better Buildings Residential Program Solution Center Demonstration |

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

    Department of Energy Residential Program Solution Center Demonstration Better Buildings Residential Program Solution Center Demonstration Better Buildings Residential Program Solution Center Demonstration from the U.S. Department of Energy. PDF icon Solution Center Demo More Documents & Publications Building Science Solutions … Faster and Better Presentation: Better Buildings Residential Program Solution Center Presentation: Better Buildings Residential Program Solution Center

  7. Washington River Protection Solutions - Hanford Site

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

    Contracting Washington River Protection Solutions Contracting ORP Contracts and Procurements RL Contracts and Procurements CH2M HILL Plateau Remediation Company Mission Support Alliance Washington Closure Hanford HPM Corporation (HPMC) Wastren Advantage, Inc. Bechtel National, Inc. Washington River Protection Solutions Washington River Protection Solutions Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Washington River Protection Solutions, LLC logo The operation

  8. Columbia River Component Data Evaluation Summary Report

    SciTech Connect (OSTI)

    C.S. Cearlock

    2006-08-02

    The purpose of the Columbia River Component Data Compilation and Evaluation task was to compile, review, and evaluate existing information for constituents that may have been released to the Columbia River due to Hanford Site operations. Through this effort an extensive compilation of information pertaining to Hanford Site-related contaminants released to the Columbia River has been completed for almost 965 km of the river.

  9. Office of River Protection - Hanford Site

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

    Office of River Protection Office of River Protection About ORP ORP Projects & Facilities Newsroom Contracts & Procurements Contact ORP Office of River Protection Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Hanford.gov Site Maintenance PHOENIX Tanks - Live Now Public Involvement Evaluation Survey Hanford Public Comment Period UNITED STATES DEPARTMENT OF ENERGY Office of River Protection The U.S. Department of Energy's (DOE) Hanford Site in southeast

  10. River Corridor Achievements | Department of Energy

    Energy Savers [EERE]

    Achievements River Corridor Achievements December 17, 2015 - 12:15pm Addthis Overall-RC-achievements_2015nw_756px - Copy.jpg Washington Closure Hanford and previous contractors have completed much of the cleanup work in the River Corridor, shown here. Addthis Related Articles EM Update Newsletter Spotlights River Corridor Cleanup at Hanford Site Washington Closure Hanford: Ten Years of River Corridor Cleanup The inset photo shows Hanford's 300 Area in 1982 in comparison to the area today, shown

  11. Categorical Exclusion Determinations: Savannah River Operations Office |

    Office of Environmental Management (EM)

    Department of Energy Savannah River Operations Office Categorical Exclusion Determinations: Savannah River Operations Office Categorical Exclusion Determinations issued by Savannah River Operations Office. DOCUMENTS AVAILABLE FOR DOWNLOAD April 6, 2015 CX-012595: Categorical Exclusion Determination Subcontractor Repair of Roof Leaks at 704-H CX(s) Applied: B1.3 Date: 41827 Location(s): South Carolina Offices(s): Savannah River Operations Office October 27, 2014 CX-012388: Categorical

  12. Bayer Material Science (TRL 1 2 3 System)- River Devices to Recover Energy with Advanced Materials(River DREAM)

    Broader source: Energy.gov [DOE]

    Bayer Material Science (TRL 1 2 3 System) - River Devices to Recover Energy with Advanced Materials(River DREAM)

  13. 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.

  14. 1996 Savannah River Site annual epidemiologic surveillance report

    SciTech Connect (OSTI)

    2000-03-01

    This report provides a summary of epidemiologic surveillance data collected from Savannah River Site from January 1, 1996 through December 31, 1996. The data were collected by a coordinator at Savannah River Site and submitted to the Epidemiologic Surveillance Data Center located at Oak Ridge Institute for Science and Education, where quality control procedures and preliminary data analyses were carried out. The analyses were interpreted and the final report prepared by the DOE Office of Epidemiologic Studies. The information in this report provides highlights of the data analyses conducted on the 1996 data collected from Savannah River Site. The main sections of the report include: work force characteristics; absences due to injury or illness lasting 5 or more consecutive workdays; workplace illnesses, injuries, and deaths that were reportable to the Occupational Safety and Health Administration (''OSHA-recordable'' events); and disabilities and deaths among current workers. The 1996 report includes a new section on time trends that provides comparative information on the health of the work force from 1994 through 1996.

  15. Smith River Rancheria- 2005 Project

    Broader source: Energy.gov [DOE]

    The Smith River Rancheria located just south of the Oregon border, on the coast, knows that developing a power-generation facility is a crucial part of its multifaceted plan for both economic development and reduction of energy costs. The activities associated with this grant will include the basic steps necessary to determine whether a generation facility will, in fact, benefit the tribe.

  16. Center for Inverse Design: About the Center for Inverse Design

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

    Organization Partner Institutions Principal Investigators Research Thrusts & Subtasks Approach Publications SharePoint Collaboration Tool For research results, information, and discussion board Learn more about some recent research highlights from the Center for Inverse Design Meet some of our principal investigators in the Center for Inverse Design by viewing the short videos Download latest chart of efficiencies determined by certified agencies/labs of best research solar cells worldwide

  17. SAVANNAH RIVER NATIONAL LABORATORYREGENERATIVE FUEL CELL PROJECT

    SciTech Connect (OSTI)

    Motyka, T

    2008-11-11

    A team comprised of governmental, academic and industrial partners led by the Savannah River National Laboratory developed and demonstrated a regenerative fuel cell system for backup power applications. Recent market assessments have identified emergency response and telecommunication applications as promising near-term markets for fuel cell backup power systems. The Regenerative Fuel Cell System (RFC) consisted of a 2 kg-per-day electrolyzer, metal-hydride based hydrogen storage units and a 5 kW fuel cell. Coupling these components together created a system that can produce and store its own energy from the power grid much like a rechargeable battery. A series of test were conducted to evaluate the performance of the RFC system under both steady-state and transit conditions that might be encountered in typical backup power applications. In almost all cases the RFC functioned effectively. Test results from the demonstration project will be used to support recommendations for future fuel cell and hydrogen component and system designs and support potential commercialization activities. In addition to the work presented in this report, further testing of the RFC system at the Center for Hydrogen Research in Aiken County, SC is planned including evaluating the system as a renewable system coupled with a 20kW-peak solar photovoltaic array.

  18. HANFORD SITE RIVER CORRIDOR CLEANUP

    SciTech Connect (OSTI)

    BAZZELL, K.D.

    2006-02-01

    In 2005, the US Department of Energy (DOE) launched the third generation of closure contracts, including the River Corridor Closure (RCC) Contract at Hanford. Over the past decade, significant progress has been made on cleaning up the river shore that bordes Hanford. However, the most important cleanup challenges lie ahead. In March 2005, DOE awarded the Hanford River Corridor Closure Contract to Washington Closure Hanford (WCH), a limited liability company owned by Washington Group International, Bechtel National and CH2M HILL. It is a single-purpose company whose goal is to safely and efficiently accelerate cleanup in the 544 km{sup 2} Hanford river corridor and reduce or eliminate future obligations to DOE for maintaining long-term stewardship over the site. The RCC Contract is a cost-plus-incentive-fee closure contract, which incentivizes the contractor to reduce cost and accelerate the schedule. At $1.9 billion and seven years, WCH has accelerated cleaning up Hanford's river corridor significantly compared to the $3.2 billion and 10 years originally estimated by the US Army Corps of Engineers. Predictable funding is one of the key features of the new contract, with funding set by contract at $183 million in fiscal year (FY) 2006 and peaking at $387 million in FY2012. Another feature of the contract allows for Washington Closure to perform up to 40% of the value of the contract and subcontract the balance. One of the major challenges in the next few years will be to identify and qualify sufficient subcontractors to meet the goal.

  19. Alternative Fuels Data Center: Fuel Prices

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

    Vehicles Printable Version Share this resource Send a link to Alternative Fuels Data Center: Fuel Prices to someone by E-mail Share Alternative Fuels Data Center: Fuel Prices on Facebook Tweet about Alternative Fuels Data Center: Fuel Prices on Twitter Bookmark Alternative Fuels Data Center: Fuel Prices on Google Bookmark Alternative Fuels Data Center: Fuel Prices on Delicious Rank Alternative Fuels Data Center: Fuel Prices on Digg Find More places to share Alternative Fuels Data Center: Fuel

  20. Center for Energy Efficient Design

    High Performance Buildings Database

    Rocky Mount, VA As the first Passivhaus public school in North America, the Center for Energy Efficient Design (CEED) in Rocky Mount, Virginia, is a national model for green school construction. An extension of The Leonard A.

  1. Energy Frontier Research Center News

    Office of Science (SC) Website

    a>, was supported in part by the Solid-State Solar Thermal Energy Conversion Center (S3TEC), an EFRC led by Gang Chen at MIT.

    ...

  2. WIPP Activates Emergency Operations Center

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

    August 5, 2015 WIPP Activates Emergency Operations Center At approximately 7:00 p.m. MDT on Tuesday, August 4, the Waste Isolation Pilot Plant (WIPP) activated the Emergency...

  3. USCA Convocation Center 375 Robert ...

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

    1, 2013 USCA Convocation Center 375 Robert M. Bell Parkway, Aiken, SC 29801 Cash Bar Reception 6:00-6:45 pm BanquetLecture 7:00 pm Tickets: 50 per person Must be...

  4. Kirsch Center for Environmental Studies

    High Performance Buildings Database

    Cupertino, CA The Kirsch Center for Environmental Studies is a two story building completed in summer 2005. The center is the home of the Biological, Health and Environmental Sciences Division of the De Anza College. On the first floor there is a biodiversity lab, a biodiversity outdoor classroom, an energy exhibit hall, a small group learning space, a 90-seat lecture classroom and two 45-seat lecture classrooms.

  5. ORISE: Center for Epidemiologic Research

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

    Center for Epidemiologic Research The Oak Ridge Institute for Science and Education (ORISE) has been building its capability in epidemiology since 1978. Early ORISE studies of mortality among U.S. Department of Energy (DOE) nuclear workers led researchers to develop increasing expertise in epidemiologic research, occupational health studies and DOE worker populations. ORISE's researchers and skills coalesced into an operating unit that became the Center for Epidemiologic Research (CER). CER has

  6. LANSCE | Lujan Center | Ancillary Equipment

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

    Ancillary Equipment For general questions, please contact the Lujan Center Sample Environments responsible: Victor Fanelli | vfanelli@lanl.gov | 505.667.8755 Sample and Equipment Shipping Instructions For questions regarding shipping procedures, contact the Lujan Center Experiment Coordinator: TBA Low Temperature Equipment Specifications Flight Path/Instrument Compatibility Responsible Displex closed-cycle refrigerators Tmin= 4 K to 12 K Tmax= 300 K to 340 K 11 - Asterix 04 - HIPPO 03 - HIPD 10

  7. WINDExchange: About Regional Resource Centers

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable energy production in the United States by 2020. Wind energy currently provides more than 4% of the nation's electricity but has the potential to provide much more. Increasing the country's percentage from wind power will mean

  8. Karen Nunez, Procedures Center Manager

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

    Karen Nunez, Procedures Center Manager Print Procedures Center Manager Karen Nunez has been working somewhat "behind the scenes" at the ALS for the past seven years, ensuring that documentation for the many procedures involved in ALS operations is clear, correct, and up to date. She works with a plethora of ALS engineers, operators, technicians, and scientists, who all lend their technical expertise to her work. "I maintain the documents that help people maintain the

  9. Combustion Energy Frontier Research Center

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

    Home Home The Combustion Energy Frontier Research Center (CEFRC) was established by the US Department of Energy (DOE) in August 2009 as one of the 46 new centers around the country dedicated to addressing the pressing issues of energy sustainability, energy security, and climate change. The CEFRC, funded at $20 million over 5 years and directed by Professor Chung K. Law of Princeton University, focuses on the combustion of fossil and alternative fuels to produce heat and power. The research team

  10. Information Center | Department of Energy

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

    Center Information Center Congressional Testimony Testimony to Congress by various members of OE. Library Repository of reports and documents; fact sheets; presentations and other documentation from peer review events; and Federal Register notices. Educational Resources Educational material on the generation, transmission, and usage of electricity as well as how the electric grid works and how it needs to be modernized. Reporting Reporting to OE including Electric Disturbance Incidents and

  11. 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.

  12. Gasoline price forecast to stay below 3 dollar a gallon in 2015

    Gasoline and Diesel Fuel Update (EIA)

    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

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

    Office of Environmental Management (EM)

    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

  14. Savannah River Plant/Savannah River Laboratory radiation exposure report

    SciTech Connect (OSTI)

    Rogers, C.D.; Hyman, S.D.; Keisler, L.L. and Co., Aiken, SC . Savannah River Plant); Reeder, D.F.; Jolly, L.; Spoerner, M.T.; Schramm, G.R. and Co., Aiken, SC . Savannah River Lab.)

    1989-01-01

    The protection of worker health and safety is of paramount concern at the Savannah River Site. Since the site is one of the largest nuclear sites in the nation, radiation safety is a key element in the protection program. This report is a compendium of the results in 1988 of the programs at the Savannah River Plant and the Savannah River Laboratory to protect the radiological health of employees. By any measure, the radiation protection performance at this site in 1988 was the best since the beginning of operations. This accomplishment was made possible by the commitment and support at all levels of the organizations to reduce radiation exposures to ALARA (As Low As Reasonably Achievable). The report provides detailed information about the radiation doses received by departments and work groups within these organizations. It also includes exposure data for recent years to allow Plant and Laboratory units to track the effectiveness of their ALARA efforts. Many of the successful practices and methods that reduced radiation exposure are described. A new goal for personnel contamination cases has been established for 1989. Only through continual and innovative efforts to minimize exposures can the goals be met. The radiation protection goals for 1989 and previous years are included in the report. 27 figs., 58 tabs.

  15. NNSA Service Center Chart | Department of Energy

    Office of Environmental Management (EM)

    NNSA Service Center Chart NNSA Service Center Chart Office of Chief Counsel at the NNSA Service Center in Albuquerque, NM PDF icon NNSA Service Center Chart More Documents & Publications Technical Qualification Program Accreditation Schedule 2011 Annual Planning Summary for NNSA Service Center (NNSASC) EIS-0466: Notice of Intent to Prepare an Environmental Impact Statement

  16. Voluntary Protection Program Onsite Review, Savannah River Nuclear

    Office of Environmental Management (EM)

    Solutions, Llc Savannah River Site - October 2014 | Department of Energy River Nuclear Solutions, Llc Savannah River Site - October 2014 Voluntary Protection Program Onsite Review, Savannah River Nuclear Solutions, Llc Savannah River Site - October 2014 October 2014 Recertification of SRNS as a Star Participant in the Department of Energy Voluntary Protection Program. This report summarizes the results from the evaluation of Savannah River Nuclear Solutions, LLC (SRNS), at the Savannah River

  17. DOE-SR Makes a Difference Through Donation to Educational Center |

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

    Department of Energy DOE-SR Makes a Difference Through Donation to Educational Center DOE-SR Makes a Difference Through Donation to Educational Center February 24, 2011 - 12:00pm Addthis Media Contact Amy Caver, DOE (803) 952-7697 amy.caver@srs.gov Aiken, SC -- The Department of Energy-Savannah River Operations Office (DOE-SR) is making a real impact to increase learning resources for an educational nonprofit organization through its Computers for Learning (CFL) program. Just recently,

  18. Savannah River Laboratory Decontamination Program

    SciTech Connect (OSTI)

    Rankin, W.N.

    1991-01-01

    Savannah River Laboratory (SRL) has had a Decontamination and Decommissioning (D D) Technology program since 1981. The objective of this program is to provide state-of-the-art technology for use in D D operations that will enable our customers to minimize waste generated and personal exposure, increase productivity and safety, and to minimize the potential for release and uptake of radioactive material. The program identifies and evaluates existing technology, develops new technology, and provides technical assistance to implement its use onsite. This program has impacted not only the Savannah River Site (SRS), but the entire Department of Energy (DOE) complex. To document and communicate the technology generated by this program, 28 papers have been presented at National and International meetings in the United States and Foreign Countries.

  19. Savannah River Laboratory Decontamination Program

    SciTech Connect (OSTI)

    Rankin, W.N.

    1991-12-31

    Savannah River Laboratory (SRL) has had a Decontamination and Decommissioning (D&D) Technology program since 1981. The objective of this program is to provide state-of-the-art technology for use in D&D operations that will enable our customers to minimize waste generated and personal exposure, increase productivity and safety, and to minimize the potential for release and uptake of radioactive material. The program identifies and evaluates existing technology, develops new technology, and provides technical assistance to implement its use onsite. This program has impacted not only the Savannah River Site (SRS), but the entire Department of Energy (DOE) complex. To document and communicate the technology generated by this program, 28 papers have been presented at National and International meetings in the United States and Foreign Countries.

  20. 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.