National Library of Energy BETA

Sample records for forecast year equipment

  1. 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.

  2. Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000

    SciTech Connect (OSTI)

    Das, S.

    1991-12-01

    The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

  3. 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.

  4. Regional forecasting with global atmospheric models; Third year report

    SciTech Connect (OSTI)

    Crowley, T.J.; North, G.R.; Smith, N.R.

    1994-05-01

    This report was prepared by the Applied Research Corporation (ARC), College Station, Texas, under subcontract to Pacific Northwest Laboratory (PNL) as part of a global climate studies task. The task supports site characterization work required for the selection of a potential high-level nuclear waste repository and is part of the Performance Assessment Scientific Support (PASS) Program at PNL. The work is under the overall direction of the Office of Civilian Radioactive Waste Management (OCRWM), US Department of Energy Headquarters, Washington, DC. The scope of the report is to present the results of the third year`s work on the atmospheric modeling part of the global climate studies task. The development testing of computer models and initial results are discussed. The appendices contain several studies that provide supporting information and guidance to the modeling work and further details on computer model development. Complete documentation of the models, including user information, will be prepared under separate reports and manuals.

  5. LMHC/TWRS year 2000 equipment project renovation and contingency plan

    SciTech Connect (OSTI)

    ADAMS, M.R.

    1999-05-12

    A program has been completed to assess, renovate and document tank farm field equipment year 2000 compliance. A communication plan has also been prepared (see section 8.0). The objective of the program was to assure that no adverse effects occur in tank farm operations as a result of equipment malfunction due to the advent of year 2000. The purposes of this document are to: describe the process used to assess field equipment; document items found to be compliant; document items found to be non-compliant including options for making the equipment year 2000 functional and/or tolerant; describe location and management of field equipment year 2000 documentation; assess overall vulnerability of TWRS field equipment with regard to year 2000 problems and describe plans to communicate year 2000 equipment review results and corrective actions.

  6. Validation of a 20-year forecast of US childhood lead poisoning: Updated prospects for 2010

    SciTech Connect (OSTI)

    Jacobs, David E. . E-mail: dejacobs@starpower.net; Nevin, Rick

    2006-11-15

    We forecast childhood lead poisoning and residential lead paint hazard prevalence for 1990-2010, based on a previously unvalidated model that combines national blood lead data with three different housing data sets. The housing data sets, which describe trends in housing demolition, rehabilitation, window replacement, and lead paint, are the American Housing Survey, the Residential Energy Consumption Survey, and the National Lead Paint Survey. Blood lead data are principally from the National Health and Nutrition Examination Survey. New data now make it possible to validate the midpoint of the forecast time period. For the year 2000, the model predicted 23.3 million pre-1960 housing units with lead paint hazards, compared to an empirical HUD estimate of 20.6 million units. Further, the model predicted 498,000 children with elevated blood lead levels (EBL) in 2000, compared to a CDC empirical estimate of 434,000. The model predictions were well within 95% confidence intervals of empirical estimates for both residential lead paint hazard and blood lead outcome measures. The model shows that window replacement explains a large part of the dramatic reduction in lead poisoning that occurred from 1990 to 2000. Here, the construction of the model is described and updated through 2010 using new data. Further declines in childhood lead poisoning are achievable, but the goal of eliminating children's blood lead levels {>=}10 {mu}g/dL by 2010 is unlikely to be achieved without additional action. A window replacement policy will yield multiple benefits of lead poisoning prevention, increased home energy efficiency, decreased power plant emissions, improved housing affordability, and other previously unrecognized benefits. Finally, combining housing and health data could be applied to forecasting other housing-related diseases and injuries.

  7. HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL BUSINESS PROGRAM RESULTS & FORECAST

    National Nuclear Security Administration (NNSA)

    HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL BUSINESS PROGRAM RESULTS & FORECAST CATEGORY Total Procurement Total SB Small Disad. Bus Woman-Owned SB Hub-Zone SB Veteran-Owned SB Service Disabled Vet. SB FY 2009 Dollars Goal (projected) $183,949,920 $82,690,000 $4,550,000 $8,829,596 $3,370,000 $5,025,000 $460,000 FY 2009 Dollars Accomplished $143,846,731 $68,174,398 $9,247,214 $11,333,905 $4,979,858 $6,713,791 $1,612,136 FY 2009 % Goal 45.0% 2.5% 4.8% 1.8% 2.7% 0.25% FY

  8. Navy Mobility Fuels Forecasting System report: Navy fuel production in the year 2000

    SciTech Connect (OSTI)

    Hadder, G.R.; Davis, R.M.

    1991-09-01

    The Refinery Yield Model of the Navy Mobility Fuels Forecasting System has been used to study the feasibility and quality of Navy JP-5 jet fuel and F-76 marine diesel fuel for two scenarios in the year 2000. Both scenarios account for environmental regulations for fuels produced in the US and assume that Eastern Europe, the USSR, and the People`s Republic of China have free market economies. One scenario is based on business-as-usual market conditions for the year 2000. The second scenario is similar to first except that USSR crude oil production is 24 percent lower. During lower oil production in the USSR., there are no adverse effects on Navy fuel availability, but JP-5 is generally a poorer quality fuel relative to business-as-usual in the year 2000. In comparison with 1990, there are two potential problems areas for future Navy fuel quality. The first problem is increased aromaticity of domestically produced Navy fuels. Higher percentages of aromatics could have adverse effects on storage, handling, and combustion characteristics of both JP-5 and F-76. The second, and related, problem is that highly aromatic light cycle oils are blended into F-76 at percentages which promote fuel instability. It is recommended that the Navy continue to monitor the projected trend toward increased aromaticity in JP-5 and F-76 and high percentages of light cycle oils in F-76. These potential problems should be important considerations in research and development for future Navy engines.

  9. Navy Mobility Fuels Forecasting System report: Navy fuel production in the year 2000

    SciTech Connect (OSTI)

    Hadder, G.R.; Davis, R.M.

    1991-09-01

    The Refinery Yield Model of the Navy Mobility Fuels Forecasting System has been used to study the feasibility and quality of Navy JP-5 jet fuel and F-76 marine diesel fuel for two scenarios in the year 2000. Both scenarios account for environmental regulations for fuels produced in the US and assume that Eastern Europe, the USSR, and the People's Republic of China have free market economies. One scenario is based on business-as-usual market conditions for the year 2000. The second scenario is similar to first except that USSR crude oil production is 24 percent lower. During lower oil production in the USSR., there are no adverse effects on Navy fuel availability, but JP-5 is generally a poorer quality fuel relative to business-as-usual in the year 2000. In comparison with 1990, there are two potential problems areas for future Navy fuel quality. The first problem is increased aromaticity of domestically produced Navy fuels. Higher percentages of aromatics could have adverse effects on storage, handling, and combustion characteristics of both JP-5 and F-76. The second, and related, problem is that highly aromatic light cycle oils are blended into F-76 at percentages which promote fuel instability. It is recommended that the Navy continue to monitor the projected trend toward increased aromaticity in JP-5 and F-76 and high percentages of light cycle oils in F-76. These potential problems should be important considerations in research and development for future Navy engines.

  10. Post operational investigation of the recovered North East Frigg subsea production equipment after 10 year`s service

    SciTech Connect (OSTI)

    Worley, L.J.; Fjaertoft, L.

    1995-12-31

    Elf Petroleum Norge had for 10 years been operating the North East Frigg field. This gas field was the first subsea field on the Norwegian Continental shelf. It was shut down on the 8th May 1993. Elf Petroleum Norge used the shut down as an ideal opportunity to review the performance of the subsea equipment. An investigation was initiated,its purpose, to gather information regarding the history, wear, effect of cathodic protection, corrosion etc from the X-mas tree components.

  11. 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.

  12. Updated Buildings Sector Appliance and Equipment Costs and Efficiency

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

    Full report (3.6 mb) Major residential equipment and commercial heating, cooling, & water heating equipment Appendix A - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1 mb) Appendix B - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1 mb) Lighting and commercial ventilation & refrigeration equipment Appendix C - Technology Forecast Updates - Residential and Commercial Building Technologies

  13. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

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

  14. Solar Forecasting

    Broader source: Energy.gov [DOE]

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

  15. Forecast Change

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

    Forecast Change 2011 2012 2013 2014 2015 2016 from 2015 United States Usage (kWh) 3,444 3,354 3,129 3,037 3,153 3,143 -0.3% Price (centskWh) 12.06 12.09 12.58 13.04 12.95 12.96 ...

  16. Updated Buildings Sector Appliance and Equipment Costs and Efficiency

    Gasoline and Diesel Fuel Update (EIA)

    Full report (4.1 mb) Heating, cooling, & water heating equipment Appendix A - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.9...

  17. 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...

  18. Data Network Equipment Energy Use and Savings Potential in Buildings

    SciTech Connect (OSTI)

    Lanzisera, Steven; Nordman, Bruce; Brown, Richard E.

    2010-06-09

    Network connectivity has become nearly ubiquitous, and the energy use of the equipment required for this connectivity is growing. Network equipment consists of devices that primarily switch and route Internet Protocol (IP) packets from a source to a destination, and this category specifically excludes edge devices like PCs, servers and other sources and sinks of IP traffic. This paper presents the results of a study of network equipment energy use and includes case studies of networks in a campus, a medium commercial building, and a typical home. The total energy use of network equipment is the product of the stock of equipment in use, the power of each device, and their usage patterns. This information was gathered from market research reports, broadband market penetration studies, field metering, and interviews with network administrators and service providers. We estimate that network equipment in the USA used 18 TWh, or about 1percent of building electricity, in 2008 and that consumption is expected to grow at roughly 6percent per year to 23 TWh in 2012; world usage in 2008 was 51 TWh. This study shows that office building network switches and residential equipment are the two largest categories of energy use consuming 40percent and 30percent of the total respectively. We estimate potential energy savings for different scenarios using forecasts of equipment stock and energy use, and savings estimates range from 20percent to 50percent based on full market penetration of efficient technologies.

  19. Forecasting Flu

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

    introduction in 1992 of an American-made truck with a fully factory-installed/war- ranted liquefied petroleum gas (LPG) engine represents another "Ford first" in the alternative fuel arena. Now the company has introduced an LPG- powered F-700, a medium/heavy- duty truck. According to Tom Steckel, Ford's medium-duty marketing man- ager, Ford's latest sales figures already prove the alternative fuel F-700's popularity. With a little more than 10 months of the model year finished, Ford

  20. Cleanroom Equipment

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

    Conventional Machining Engis Lapping and Polishing Machine MET One particle Counter Sand Blaster Cabinet Flycutting Machine Lithography Equipment Mann 600 Pattern Generator Oriel UV Exposure Station with Aligner Quintel UL7000-OBS Aligner and DUV Exposure Station Metrology Equipment AFT 210XP Nanospec Digital Instrument 3100 SPM Hitachi S-4500II Field Emission SEM Hitachi U-2001 NIR-UV-VUS Spectrophotometer Nikon MM-22U Measuroscope Nikon OPTIPHOT-88 Optical Microscope OXFORD Plasmalab System

  1. probabilistic energy production forecasts

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

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

  2. 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...

  3. Forecasting Water Quality & Biodiversity

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

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

  4. 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...

  5. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2014 AVERAGE AGE 48.6 UNDER 30 2 30-39 5 40-49 8 50-59 17 60-69 3 70 AND UP 0 YEAR 2014 AVERAGE LENGTH 16.3 LESS THAN 10 YEARS 11 10-19 YEARS 10 20-29 YEARS 11 30-39 YEARS 3 ...

  6. Using Wikipedia to forecast disease

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

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

  7. NREL: Transmission Grid Integration - Forecasting

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

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

  8. YEAR

    National Nuclear Security Administration (NNSA)

    69 YEAR 2014 Males 34 Females 35 YEAR 2014 SES 5 EJEK 1 EN 05 8 EN 04 5 NN (Engineering) 27 NQ (ProfTechAdmin) 22 NU (TechAdmin Support) 1 YEAR 2014 American Indian Alaska...

  9. YEAR

    National Nuclear Security Administration (NNSA)

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  10. YEAR

    National Nuclear Security Administration (NNSA)

    4 YEAR 2012 Males 65 Females 29 YEAR 2012 SES 3 EJEK 5 EN 04 3 NN (Engineering) 21 NQ (ProfTechAdmin) 61 NU (TechAdmin Support) 1 YEAR 2012 American Indian Male 0 American...

  11. YEAR

    National Nuclear Security Administration (NNSA)

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  12. YEAR

    National Nuclear Security Administration (NNSA)

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  13. YEAR

    National Nuclear Security Administration (NNSA)

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  14. YEAR

    National Nuclear Security Administration (NNSA)

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  15. YEAR

    National Nuclear Security Administration (NNSA)

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  16. YEAR

    National Nuclear Security Administration (NNSA)

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  17. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 27 Females 11 YEAR 2013 SES 1 EN 05 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 15 NU (TechAdmin Support) 2 YEAR 2013 American Indian Alaska Native Male...

  18. YEAR

    National Nuclear Security Administration (NNSA)

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  19. YEAR

    National Nuclear Security Administration (NNSA)

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  20. YEAR

    National Nuclear Security Administration (NNSA)

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  1. YEAR

    National Nuclear Security Administration (NNSA)

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  2. YEAR

    National Nuclear Security Administration (NNSA)

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  3. YEAR

    National Nuclear Security Administration (NNSA)

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  4. YEAR

    National Nuclear Security Administration (NNSA)

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  5. YEAR

    National Nuclear Security Administration (NNSA)

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  6. YEAR

    National Nuclear Security Administration (NNSA)

    0 YEAR 2013 Males 48 Females 32 YEAR 2013 SES 2 EJEK 7 EN 04 11 EN 03 1 NN (Engineering) 23 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska...

  7. YEAR

    National Nuclear Security Administration (NNSA)

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  8. YEAR

    National Nuclear Security Administration (NNSA)

    00 YEAR 2012 Males 48 Females 52 YEAR 2012 SES 5 EJEK 1 NN (Engineering) 11 NQ (ProfTechAdmin) 80 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 0 American Indian...

  9. YEAR

    National Nuclear Security Administration (NNSA)

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  10. YEAR

    National Nuclear Security Administration (NNSA)

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  11. YEAR

    National Nuclear Security Administration (NNSA)

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  12. YEAR

    National Nuclear Security Administration (NNSA)

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  13. YEAR

    National Nuclear Security Administration (NNSA)

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  14. YEAR

    National Nuclear Security Administration (NNSA)

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  15. YEAR

    National Nuclear Security Administration (NNSA)

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  16. YEAR

    National Nuclear Security Administration (NNSA)

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  17. YEAR

    National Nuclear Security Administration (NNSA)

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  18. YEAR

    National Nuclear Security Administration (NNSA)

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  19. YEAR

    National Nuclear Security Administration (NNSA)

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  20. YEAR

    National Nuclear Security Administration (NNSA)

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  1. Acquisition Forecast | Department of Energy

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

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

  2. The forecast calls for flu

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

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

  3. YEAR

    National Nuclear Security Administration (NNSA)

    2012 Males 149 Females 115 YEAR 2012 SES 17 EX 1 EJEK 7 EN 05 2 EN 04 9 EN 03 2 NN (Engineering) 56 NQ (ProfTechAdmin) 165 NU (TechAdmin Support) 4 GS 13 1 YEAR 2012 American...

  4. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 61 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 8 EN 04 22 NN (Engineering) 23 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 3 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 13 Hispanic Female (H F) 10 White Male (W M) 43 White Female (W F) 11

  5. YEAR

    National Nuclear Security Administration (NNSA)

    82 YEAR 2014 Males 57 Females 25 PAY PLAN YEAR 2014 SES 3 EJ/EK 4 EN 04 2 NN (Engineering) 20 NQ (Prof/Tech/Admin) 53 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 9 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 3 Hispanic Female (H F) 5 White Male (W M) 43 White Female (W F) 10 DIVERSITY TOTAL WORKFORCE

  6. YEAR

    National Nuclear Security Administration (NNSA)

    93 YEAR 2014 Males 50 Females 43 PAY PLAN YEAR 2014 EJ/EK 3 NN (Engineering) 13 NQ (Prof/Tech/Admin) 74 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 5 African American Female (AA F) 6 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 6 Hispanic Female (H F) 14 White Male (W M) 39 White Female (W F) 21 DIVERSITY

  7. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2014 Males 11 Females 2 PAY PLAN YEAR 2014 SES 2 EJ/EK 1 EN 04 1 NN (Engineering) 5 NQ (Prof/Tech/Admin) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 10 White Female (W F) 2 DIVERSITY TOTAL WORKFORCE GENDER

  8. YEAR

    National Nuclear Security Administration (NNSA)

    9 YEAR 2014 Males 9 Females 10 YEAR 2014 SES 7 ED 1 EJ/EK 1 EN 05 1 NQ (Prof/Tech/Admin) 8 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 5 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 3 White Male (W M) 7 White Female (W F) 1 PAY PLAN DIVERSITY TOTAL

  9. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 92 Females 43 YEAR 2014 SES 8 EX 1 EJ/EK 4 EN 05 9 EN 04 12 EN 03 2 NN (Engineering) 57 NQ (Prof/Tech/Admin) 42 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 9 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 12 Hispanic Female (H F) 7 White Male (W M) 66 White Female (W F) 22 PAY PLAN

  10. YEAR

    National Nuclear Security Administration (NNSA)

    563 YEAR 2014 Males 517 Females 46 PAY PLAN YEAR 2014 SES 2 EJ/EK 2 EN 04 1 NN (Engineering) 11 NQ (Prof/Tech/Admin) 218 NU (Tech/Admin Support) 2 NV (Nuc Mat Courier) 327 YEAR 2014 American Indian Alaska Native Male (AIAN M) 14 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 18 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 8 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 76 Hispanic Female (H F) 21 White Male

  11. YEAR

    National Nuclear Security Administration (NNSA)

    89 YEAR 2014 Males 98 Females 91 PAY PLAN YEAR 2014 SES 14 EX 1 EJ/EK 3 EN 05 1 EN 04 4 EN 03 1 NN (Engineering) 32 NQ (Prof/Tech/Admin) 130 NU (Tech/Admin Support) 2 GS 15 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 5 African American Female (AA F) 14 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 7 Hispanic Male (H M) 7 Hispanic Female (H F) 10 White Male

  12. YEAR

    National Nuclear Security Administration (NNSA)

    43 YEAR 2014 Males 162 Females 81 PAY PLAN YEAR 2014 SES 26 EJ/EK 3 EN 05 7 NN (Engineering) 77 NQ (Prof/Tech/Admin) 108 NU (Tech/Admin Support) 22 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 0 White Male (W M) 154 White Female (W F)

  13. YEAR

    National Nuclear Security Administration (NNSA)

    74 YEAR 2014 Males 96 Females 78 PAY PLAN YEAR 2014 SES 8 EJ/EK 4 EN 04 11 EN 03 1 NN (Engineering) 34 NQ (Prof/Tech/Admin) 113 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 5 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 25 Hispanic Female (H F) 25 White Male (W M) 61 White

  14. YEAR

    National Nuclear Security Administration (NNSA)

    4 YEAR 2014 Males 7 Females 7 PAY PLAN YEAR 2014 SES 1 NQ (Prof/Tech/Admin) 7 GS 15 1 GS 14 2 GS 13 2 GS 10 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 3 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 4 White Female (W F) 5 DIVERSITY TOTAL WORKFORCE GENDER

  15. YEAR

    National Nuclear Security Administration (NNSA)

    16 YEAR 2014 Males 72 Females 144 PAY PLAN YEAR 2014 SES 8 EJ/EK 1 NQ (Prof/Tech/Admin) 198 NU (Tech/Admin Support) 9 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 10 African American Female (AA F) 38 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 3 Hispanic Male (H M) 15 Hispanic Female (H F) 33 White Male (W M) 44 White Female (W F) 68 DIVERSITY TOTAL

  16. YEAR

    National Nuclear Security Administration (NNSA)

    26 YEAR 2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL 1 EJ/EK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (Prof/Tech/Admin) 44 NU (Tech/Admin Support) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 68 White

  17. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 10 PAY PLAN YEAR 2014 SES 1 EN 05 1 EN 04 4 NN (Engineering) 12 NQ (Prof/Tech/Admin) 9 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 4 African American Female (AA F) 4 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 13 White Female (W F) 5

  18. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 20 PAY PLAN YEAR 2014 SES 3 EJ/EK 1 EN 03 1 NN (Engineering) 3 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 1 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 4 Hispanic Female (H F) 7 White Male (W M) 13 White Female (W F) 11

  19. Research Study - Global Enterprise VoIP Equipment Market Forecasts...

    Open Energy Info (EERE)

    we deeply analyzed the world's main region market conditions that including the product price, profit, capacity, production, capacity utilization, supply, demand and industry...

  20. Laboratory Equipment Donation Program - Equipment Information

    Office of Scientific and Technical Information (OSTI)

    Before you Apply, please Print This Page for your records Equipment Details No Package found. Item Control Number: Equipment Type: Condition: Date Entered: (you have 30 days from ...

  1. YEAR

    National Nuclear Security Administration (NNSA)

    25 Females 10 YEAR 2014 SES 1 EN 04 11 NN (Engineering) 8 NQ (Prof/Tech/Admin) 13 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 3 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 24 White Female (W F) 6 TOTAL WORKFORCE GENDER Kansas City

  2. YEAR

    National Nuclear Security Administration (NNSA)

    9 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 4 EN 05 3 EN 04 22 EN 03 8 NN (Engineering) 15 NQ (Prof/Tech/Admin) 27 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 21 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 5 Hispanic Female (H F) 3 White Male (W M) 26 White Female (W F) 16

  3. YEAR

    National Nuclear Security Administration (NNSA)

    17 Females 18 PAY PLAN YEAR 2014 SES 1 EJ/EK 3 NQ (Prof/Tech/Admin) 30 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 6 White Male (W M) 10 White Female (W F) 3 DIVERSITY TOTAL WORKFORCE GENDER Associate

  4. YEAR

    National Nuclear Security Administration (NNSA)

    8 Females 25 PAY PLAN YEAR 2014 SES 1 EJ/EK 3 EN 05 1 EN 04 25 EN 03 1 NN (Engineering) 25 NQ (Prof/Tech/Admin) 25 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 3 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 46 White Female (W F) 13

  5. YEAR

    National Nuclear Security Administration (NNSA)

    -9.09% YEAR 2012 2013 SES 1 1 0.00% EN 05 1 1 0.00% EN 04 11 11 0.00% NN (Engineering) 8 8 0.00% NQ (ProfTechAdmin) 17 14 -17.65% NU (TechAdmin Support) 2 2...

  6. YEAR

    National Nuclear Security Administration (NNSA)

    Females 863 YEAR 2013 SES 102 EX 3 SL 1 EJEK 89 EN 05 41 EN 04 170 EN 03 18 NN (Engineering) 448 NQ (ProfTechAdmin) 1249 NU (TechAdmin Support) 76 NV (Nuc Mat Courier) 321...

  7. YEAR

    National Nuclear Security Administration (NNSA)

    Females 942 YEAR 2012 SES 108 EX 4 SL 1 EJEK 96 EN 05 45 EN 04 196 EN 03 20 NN (Engineering) 452 NQ (ProfTechAdmin) 1291 NU (TechAdmin Support) 106 NV (Nuc Mat Courier) 335...

  8. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2012 2013 SES 2 1 -50.00% EN 05 0 1 100.00% EN 04 4 4 0.00% NN (Engineering) 13 12 -7.69% NQ (ProfTechAdmin) 13 9 -30.77% NU (TechAdmin Support) 1 1...

  9. Year

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

    . U.S. Coal Production, 2009 - 2015 (thousand short tons) Year January - March April - June July - September October - December Total 2009 282,772 263,017 269,339 259,796 1,074,923 2010 265,702 264,982 277,505 276,180 1,084,368 2011 273,478 264,291 275,006 282,853 1,095,628 2012 266,865 241,047 258,956 249,591 1,016,458 2013 244,867 243,211 257,595 239,169 984,842 2014 245,271 245,844 255,377 253,557 1,000,049 2015 240,189 211,130 237,263 207,355 895,936 Note: Total may not equal sum of

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

    SciTech Connect (OSTI)

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

    2015-10-30

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

  11. FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2

    SciTech Connect (OSTI)

    Templeton, K.J.

    1996-05-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

  12. 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.

  13. Laboratory Equipment Donation Program - Equipment Applications

    Office of Scientific and Technical Information (OSTI)

    Specific questions concerning equipment should be directed to the point of contact responsible for the item(s) under consideration. This information is listed on the "Equipment Information" page, as well as on the grant award e-mail sent to the applicant. Step 1: Search and Apply for Equipment Note: If you know the Item Control Number of the equipment you need, you may go directly to the on-line application. Please follow these procedures to "Search Equipment" and apply for

  14. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

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

    SciTech Connect (OSTI)

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

    1994-05-01

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

  16. 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)

  17. 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.

  18. Supply Forecast and Analysis (SFA)

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

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

  19. 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.

  20. Laboratory Equipment Donation Program - Equipment List

    Office of Scientific and Technical Information (OSTI)

    ...2016 Repairable NA 89022961190235 72358 WATER BLOCK 05172016 Repairable NA ... 89514161060003 LABORATORY EQUIPMENT AND SUPPLIES 05052016 Used NA 8991BB61130002 ...

  1. Equipment | The Ames Laboratory

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

    Zeiss Axiovert 200 Optical Microscope Spark Cutter Fully Equipped Metallographic Laboratory Electropolisher Dimpler

  2. University of Delaware | CCEI Equipment

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

    CCEI Equipment Click column headings to sort Type Equipment Details Institution / Professor {Type} {Equipment} {Details} {Institution} {Lab} BACK TO TOP

  3. 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:...

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

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

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

  5. Intermediate future forecasting system

    SciTech Connect (OSTI)

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

    1983-12-01

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

  6. 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

  7. Acquisition Forecast Download | Department of Energy

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

    Acquisition Forecast Download Acquisition Forecast Download Click on the link to download a copy of the DOE HQ Acquisition Forecast. File Acquisition-Forecast-2016-05-06.xlsx More Documents & Publications Small Business Program Manager Directory EA-1900: Notice of Availability of a Draft Environmental Assessment Small Business Program Manager Directory

  8. 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.

  9. Calendar Year 2009 Program Benefits for ENERGY STAR Labeled Products

    SciTech Connect (OSTI)

    Homan, Gregory K; Sanchez, Marla C.; Brown, Richard E.

    2010-11-15

    ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates from the use ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2009, annual forecasts for 2010 and 2011, and cumulative savings estimates for the period 1993 through 2009 and cumulative forecasts for the period 2010 through 2015. Through 2009 the program saved 9.5 Quads of primary energy and avoided the equivalent of 170 million metric tons carbon (MMTC). The forecast for the period 2009-2015 is 11.5 Quads or primary energy saved and 202 MMTC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 110 MMTC and 231 MMTC (1993 to 2009) and between 130 MMTC and 285 MMTC (2010 to 2015).

  10. 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.

  11. 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).

  12. 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).

  13. 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.

  14. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect (OSTI)

    Not Available

    1981-05-27

    This report presents an overview of forecasts of domestic energy consumption, production, and prices for the year 1990. These results are selected from more detailed projections prepared and published in Volume 3 of the Energy Information Administration 1980 Annual Report to Congress. This report focuses specifically upon the 1980's and concentrates upon similarities and differences in the domestic energy system, as forecast, compared to the national experience in the years immediately following the 1973--1974 oil embargo. Interest in the 1980's stems not only from its immediacy in time, but also from its importance as a time in which certain adjustments to higher energy prices are expected to take place. The forecasts presented do not attempt to account for all of this wide range of potentially important forces that could conceivably alter the energy situation. Instead, the projections are based on a particular set of assumptions that seems reasonable in light of what is currently known. 9 figs., 25 tabs.

  15. UNIRIB: Equipment Development

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

    Equipment Development Technical Developments and Equipment In close collaboration with Holifield Radioactive Ion Beam Facility (HRIBF) scientists, researchers at University Radioactive Ion Beam (UNIRIB) consortium universities are offered the opportunity to perform low-energy nuclear structure research using radioactive/stable ion beams and experimental equipment available through HRIBF. UNIRIB, a division of the Oak Ridge Institute for Science and Education (ORISE), provides not only funding,

  16. New Emergency Equipment Notifications

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

    Notifications Addition of New Emergency Equipment, Hazardous Waste Facility Permit Number: NM4890139088-TSDF Todd A. Shrader/CBFO and Philip J. Breidenbach/NWP dated October 20, 2015 Underground Fire Suppression Vehicles (2) Addition of New Emergency Equipment, Hazardous Waste Facility Permit Number: NM4890139088-TSDF Dana C. Bryson/CBFO and Philip J. Breidenbach/NWP dated September 30, 2015 Underground Ambulance #3 Addition of New Emergency Equipment, Hazardous Waste Facility Permit Number:

  17. 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.

  18. Heavy Mobile Equipment Mechanic

    Broader source: Energy.gov [DOE]

    Join the Bonneville Power Administration (BPA) for a challenging and rewarding career, while working, living, and playing in the Pacific Northwest. The Heavy Mobile Equipment Mechanic (HMEM)...

  19. Hydrogen Equipment Certification Guide

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

    ... committees of ASME, SAE and ISO * Hydrogen has been used ... "approval" by the code official is required before ... or as meeting a standard. Listed - Equipment, ...

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  2. 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

  3. Troubleshooting rotating equipment

    SciTech Connect (OSTI)

    Wong, R.F. )

    1992-10-01

    This paper reports that equipment problems in a Peruvian refinery illustrate the process engineer's role as a troubleshooter. Examples show that rotating equipment problems can stem from mechanical or process factors and involve both inspection/maintenance specialists and process engineers.

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

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

    World oil inventories forecast to grow significantly in 2016 and 2017 Global oil inventories are expected to continue strong growth over the next two years which should keep oil prices low. In its new monthly forecast, the U.S. Energy Information Administration said world oil stocks are likely to increase by 1.6 million barrels per day this year and by 600,000 barrels per day next year. The higher forecast for inventory builds are the result of both higher global oil production and less oil

  5. EIA lowers forecast for summer gasoline prices

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

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

  6. 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

  7. NREL: Resource Assessment and Forecasting Home Page

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

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

  8. Solar Equipment Certification

    Broader source: Energy.gov [DOE]

    Under the Solar Energy Standards Act of 1976, the Florida Solar Energy Center (FSEC) is responsible for certifying all solar equipment sold in Florida. A manufacturer who wishes to have their solar...

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

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

    U.S. oil production forecast update reflects lower rig count Lower oil prices and fewer rigs drilling for crude oil are expected to slow U.S. oil production growth this year and in ...

  10. Incidents of chemical reactions in cell equipment

    SciTech Connect (OSTI)

    Baldwin, N.M.; Barlow, C.R.

    1991-12-31

    Strongly exothermic reactions can occur between equipment structural components and process gases under certain accident conditions in the diffusion enrichment cascades. This paper describes the conditions required for initiation of these reactions, and describes the range of such reactions experienced over nearly 50 years of equipment operation in the US uranium enrichment program. Factors are cited which can promote or limit the destructive extent of these reactions, and process operations are described which are designed to control the reactions to minimize equipment damage, downtime, and the possibility of material releases.

  11. Health Care Buildings: Equipment Table

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

    Equipment Table Buildings, Size and Age Data by Equipment Types for Health Care Buildings Number of Buildings (thousand) Percent of Buildings Floorspace (million square feet)...

  12. Equipment Operational Requirements

    SciTech Connect (OSTI)

    Greenwalt, B; Henderer, B; Hibbard, W; Mercer, M

    2009-06-11

    The Iraq Department of Border Enforcement is rich in personnel, but poor in equipment. An effective border control system must include detection, discrimination, decision, tracking and interdiction, capture, identification, and disposition. An equipment solution that addresses only a part of this will not succeed, likewise equipment by itself is not the answer without considering the personnel and how they would employ the equipment. The solution should take advantage of the existing in-place system and address all of the critical functions. The solutions are envisioned as being implemented in a phased manner, where Solution 1 is followed by Solution 2 and eventually by Solution 3. This allows adequate time for training and gaining operational experience for successively more complex equipment. Detailed descriptions of the components follow the solution descriptions. Solution 1 - This solution is based on changes to CONOPs, and does not have a technology component. It consists of observers at the forts and annexes, forward patrols along the swamp edge, in depth patrols approximately 10 kilometers inland from the swamp, and checkpoints on major roads. Solution 2 - This solution adds a ground sensor array to the Solution 1 system. Solution 3 - This solution is based around installing a radar/video camera system on each fort. It employs the CONOPS from Solution 1, but uses minimal ground sensors deployed only in areas with poor radar/video camera coverage (such as canals and streams shielded by vegetation), or by roads covered by radar but outside the range of the radar associated cameras. This document provides broad operational requirements for major equipment components along with sufficient operational details to allow the technical community to identify potential hardware candidates. Continuing analysis will develop quantities required and more detailed tactics, techniques, and procedures.

  13. Emergency Facilities and Equipment

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21

    This volume clarifies requirements of DOE O 151.1 to ensure that emergency facilities and equipment are considered as part of emergency management program and that activities conducted at these emergency facilities are fully integrated. Canceled by DOE G 151.1-4.

  14. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  15. 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

  16. Solar Forecast Improvement Project | Department of Energy

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

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

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

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

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

  18. NREL: Resource Assessment and Forecasting - Webmaster

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

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

  19. 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...

  20. Maintaining gas cooling equipment

    SciTech Connect (OSTI)

    Rector, J.D.

    1997-05-01

    An often overlooked key to satisfactory operation and longevity of any mechanical device is proper operation and maintenance in accordance with the manufacturer`s written instructions. Absorption chillers, although they use a different technology than the more familiar vapor compression cycle to produce chilled water, operate successfully in a variety of applications if operated and maintained properly. Maintenance procedures may be more frequent than those required for vapor compression chillers, but they are also typically less complex. The goal of this article is to describe the basic operation of an absorption chiller to provide an understanding of the relatively simple tasks required to keep the machine operating at maximum efficiency for its design life and beyond. A good starting point is definitions. Gas cooling equipment is generally defined as alternative energy, non-electric cooling products. This includes absorption chillers, engine-drive chillers and packaged desiccant units, among others. Natural gas combustion drives the equipment.

  1. Secure authenticated video equipment

    SciTech Connect (OSTI)

    Doren, N.E.

    1993-07-01

    In the verification technology arena, there is a pressing need for surveillance and monitoring equipment that produces authentic, verifiable records of observed activities. Such a record provides the inspecting party with confidence that observed activities occurred as recorded, without undetected tampering or spoofing having taken place. The secure authenticated video equipment (SAVE) system provides an authenticated series of video images of an observed activity. Being self-contained and portable, it can be installed as a stand-alone surveillance system or used in conjunction with existing monitoring equipment in a non-invasive manner. Security is provided by a tamper-proof camera enclosure containing a private, electronic authentication key. Video data is transferred communication link consisting of a coaxial cable, fiber-optic link or other similar media. A video review station, located remotely from the camera, receives, validates, displays and stores the incoming data. Video data is validated within the review station using a public key, a copy of which is held by authorized panics. This scheme allows the holder of the public key to verify the authenticity of the recorded video data but precludes undetectable modification of the data generated by the tamper-protected private authentication key.

  2. Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products

    SciTech Connect (OSTI)

    Homan, GregoryK; Sanchez, Marla; Brown, RichardE; Lai, Judy

    2010-08-24

    This paper presents current and projected savings for ENERGY STAR labeled products, and details the status of the model as implemented in the September 2009 spreadsheets. ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2008, annual forecasts for 2009 and 2010, and cumulative savings estimates for the period 1993 through 2008 and cumulative forecasts for the period 2009 through 2015. Through 2008 the program saved 8.8 Quads of primary energy and avoided the equivalent of 158 metric tones carbon (MtC). The forecast for the period 2009-2015 is 18.1 Quads or primary energy saved and 316 MtC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 104 MtC and 213 MtC (1993 to 2008) and between 206 MtC and 444 MtC (2009 to 2015). In this report we address the following questions for ENERGY STAR labeled products: (1) How are ENERGY STAR impacts quantified; (2) What are the ENERGY STAR achievements; and (3) What are the limitations to our method?

  3. 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.

  4. 1997 Housing Characteristics Tables Home Office Equipment Tables

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

    Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S.

  5. Tax Credit for Renewable Energy Equipment Manufacturers | Department...

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

    50% of eligible costs (10% per year for 5 years) Summary Note: The Tax Credit for Renewable Energy Resource Equipment Manufacturing Facilities has expired for new facilities. To be...

  6. Liquid-Liquid Extraction Equipment

    SciTech Connect (OSTI)

    Jack D. Law; Terry A. Todd

    2008-12-01

    Solvent extraction processing has demonstrated the ability to achieve high decontamination factors for uranium and plutonium while operating at high throughputs. Historical application of solvent extraction contacting equipment implies that for the HA cycle (primary separation of uranium and plutonium from fission products) the equipment of choice is pulse columns. This is likely due to relatively short residence times (as compared to mixer-settlers) and the ability of the columns to tolerate solids in the feed. Savannah River successfully operated the F-Canyon with centrifugal contactors in the HA cycle (which have shorter residence times than columns). All three contactors have been successfully deployed in uranium and plutonium purification cycles. Over the past 20 years, there has been significant development of centrifugal contactor designs and they have become very common for research and development applications. New reprocessing plants are being planned in Russia and China and the United States has done preliminary design studies on future reprocessing plants. The choice of contactors for all of these facilities is yet to be determined.

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

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

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

  8. 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 ...

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

  12. Agricultural Equipment Technology Conference

    Broader source: Energy.gov [DOE]

    The 20th Agricultural Equipment Technology Conference will be held Feb. 8–10, 2016, in Louisville, Kentucky. The conference will bring together professionals and experts in the agricultural and biological engineering fields. Bioenergy Technologies Office (BETO) Terrestrial Feedstocks Technology Manager Sam Tagore will be in attendance. Mr. Tagore will moderate a technical session titled “Ash Reduction Strategies for Improving Biomass Feedstock Quality.” The session will include presentations by researchers from Idaho National Laboratory and Oak Ridge National Laboratory supporting BETO, as well as from university and industry.

  13. Forecast of contracting and subcontracting opportunities: Fiscal year 1998

    SciTech Connect (OSTI)

    1998-01-01

    This report describes procurement procedures and opportunities for small businesses with the Department of Energy (DOE). It describes both prime and subcontracting opportunities of $100,000 and above which are being set aside for 8(a) and other small business concerns. The report contains sections on: SIC codes; procurement opportunities with headquarters offices; procurement opportunities with field offices; subcontracting opportunities with major contractors; 8(a) contracts expiring in FY 1998; other opportunities to do business with DOE; management and operating contractors--expiration dates; Office of Small and Disadvantaged Business Utilization (OSDBU) staff directory; and small business survey. This document will be updated quarterly on the home page.

  14. Equipment Specialist | Department of Energy

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

    Equipment Specialist Equipment Specialist Submitted by admin on Sat, 2016-01-16 00:16 Job Summary Organization Name Department Of Energy Agency SubElement Bonneville Power...

  15. 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.

  16. Equipment Pool | The Ames Laboratory

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

    Pool What is the Equipment Pool? Property that is no longer required or being used by a research group or administrative office is sent to the Ames Laboratory's warehouse Equipment Pool area for reuitilization within the Laboratory. What property is in the Equipment Pool? 1. Visit the Equipment Pool Listing page, or 2. Visit our Ames Laboratory warehouse between the hours of 7:30-4 p.m. to view the items in the equipment pool. How do I request property from the Pool? Contact Brian Aspengren,

  17. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01

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

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

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

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

  19. 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.

  20. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  1. 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.

  2. 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...

  3. Text-Alternative Version LED Lighting Forecast

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. 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...

  5. NREL: Resource Assessment and Forecasting - Research Staff

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

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

  6. 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.

  7. Maersk Line Equipment guide

    National Nuclear Security Administration (NNSA)

    Maersk Line containers has an average age of less than six years and a stringent maintenance programme ensures they are always ready for service. Each container in our fleet...

  8. Puerto Rico - Renewable Energy Equipment Certification | Department...

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

    State Puerto Rico Program Type Equipment Certification Summary Certification of Photovoltaic Equipment EAA specifies that PV equipment must meet UL 1703 requirements, and...

  9. Coal operators prepare for a prosperous new year

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-01-15

    Results are given of the Coal Age 2008 annual Forecast Survey of 17 coal mining executives which reinforces that 2008 could be a very good year. Coal operators are planning to invest in new equipment, development and new coal mine start-ups, based on a number of demand- and supply-side fundamentals. 71% of those surveyed thought coal production in 2008 would increase from 2007 levels and US exports are expected to climb due to the weak dollar. If the tax credit on synfuels expires on 31 December 2007 production of coal synfuel will likely cease. Asked about expensive planned purchases, companies answers ranged from $80,000 for an underground scoop to $500 m for a new mine installation. However, most producers admit they will not be able to operate at full capacity. 7 figs.

  10. Equipment Loans | The Ames Laboratory

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

    Loans Requirements to Loan Property: Ames Laboratory may loan Government Property provided the equipment is not excess to the Laboratory's needs. In order to loan equipment, the following criteria must be met: 1) Equipment shall be used in performing research, studies, and other efforts that result in benefits to both the U.S. Government, the borrower, and provided that the DOE mission is not affected. 2) Used by another DOE organization, contractor, Government agency, or organization that has a

  11. Laboratory Equipment Donation Program - Guidelines

    Office of Scientific and Technical Information (OSTI)

    The United States Department of Energy, in accordance with its responsibility to encourage research and development in the energy area, awards grants of used energy-related laboratory equipment. Universities, colleges and other non-profit educational institutions of higher learning in the United States are eligible to apply for equipment to use in energy-oriented educational programs in the life, physical, and environmental sciences, and in engineering. The equipment listed in this database is

  12. 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

  13. Commercial Kitchen Equipment Rebate Program

    Broader source: Energy.gov [DOE]

    Efficiency Vermont offers rebates for ENERGY STAR certified fryers, griddles, convection ovens, and steam cookers. Custom rebates for other types of commercial cooking equipment may be available...

  14. INL '@work' heavy equipment mechanic

    SciTech Connect (OSTI)

    Christensen, Cad

    2008-01-01

    INL's Cad Christensen is a heavy equipment mechanic. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

  15. Information technology equipment cooling system

    DOE Patents [OSTI]

    Schultz, Mark D.

    2014-06-10

    According to one embodiment, a system for removing heat from a rack of information technology equipment may include a sidecar indoor air to liquid heat exchanger that cools warm air generated by the rack of information technology equipment. The system may also include a liquid to liquid heat exchanger and an outdoor heat exchanger. The system may further include configurable pathways to connect and control fluid flow through the sidecar heat exchanger, the liquid to liquid heat exchanger, the rack of information technology equipment, and the outdoor heat exchanger based upon ambient temperature and/or ambient humidity to remove heat from the rack of information technology equipment.

  16. Equipment Certification | Open Energy Information

    Open Energy Info (EERE)

    Fuel Cells Geothermal Electric Hydroelectric energy Hydroelectric (Small) Natural Gas Nuclear Solar Photovoltaics Tidal Energy Wave Energy Wind energy Yes Madison - Equipment...

  17. Webinar: Hydrogen Equipment Certification Guide

    Broader source: Energy.gov [DOE]

    The Fuel Cell Technologies Office will present a live webinar titled "Hydrogen Equipment Certification Guide" on Thursday, December 10, from 1 to 2 p.m. EST.

  18. INL '@work' heavy equipment mechanic

    ScienceCinema (OSTI)

    Christensen, Cad

    2013-05-28

    INL's Cad Christensen is a heavy equipment mechanic. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

  19. 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.

  20. Alternative technologies for cooling and refrigeration equipment

    SciTech Connect (OSTI)

    Matchett, J.

    1995-12-01

    Significant national and international attention has focused on the role that chlorofluorocarbons (CFCs) play in stratospheric ozone depletion. The Clean Air Act of 1990 calls for the production of the most harmful CFCs to completely cease by December 31, 1995. This production phaseout affects many CFC-refrigerants which are commonly used in commercial, residential, and industrial cooling processes. The production phaseout of CFCs will require owners of CFC-based refrigeration equipment to make plans to replace their equipment. Many equipment owners find themselves in a {open_quotes}rut{close_quotes}replacing CFCs with another chemical coolant, rather than a new cooling process. Since many of the chemical alternatives are structurally similar to CFCs (i.e., HCFCs, HFCs, and blends) they require minimal changes to current equipment. However, these substances are also believed to affect the global climate. Hence, they may not be the most environmentally sound alternative and probable are subject to other Federal regulations. There are other HVAC/R alternatives which are less environmentally damaging than these chemicals and may actually be more cost-effective and energy efficient and than the {open_quotes}traditional{close_quotes} CFC chemical substitutes. Alternative cooling technologies include absorption systems, desiccant cooling, evaporative cooling, and ammonia vapor compression. These alternative technologies are proven alternatives and are commercially available. Further, significant technological developments in recent years have made these technologies feasible alternatives for applications previously believed to be unacceptable. This paper describes these alternative technologies and the conditions in which they are viable alternatives to CFC-based equipment. Additionally, energy efficiency and life-cycle cost analysis considerations are addressed to provide a more completes analysis of cooling equipment alternatives.

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

    SciTech Connect (OSTI)

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

    2007-12-01

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

  2. Advanced Battery Manufacturing Facilities and Equipment Program...

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

    More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program Fact ...

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

    Reports and Publications (EIA)

    1998-01-01

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

  4. Information technology equipment cooling method

    DOE Patents [OSTI]

    Schultz, Mark D.

    2015-10-20

    According to one embodiment, a system for removing heat from a rack of information technology equipment may include a sidecar indoor air to liquid heat exchanger that cools air utilized by the rack of information technology equipment to cool the rack of information technology equipment. The system may also include a liquid to liquid heat exchanger and an outdoor heat exchanger. The system may further include configurable pathways to connect and control fluid flow through the sidecar heat exchanger, the liquid to liquid heat exchanger, the rack of information technology equipment, and the outdoor heat exchanger based upon ambient temperature and/or ambient humidity to remove heat generated by the rack of information technology equipment.

  5. 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.

  6. New Emergency Equipment Notifications 2016

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

    Notifications 2016 Addition of New Emergency Equipment, Hazardous Waste Facility Permit Number: NM4890139088-TSDF Todd A. Shrader/CBFO and Philip J. Breidenbach/NWP dated January 8, 2016 Underground Fire Suppression Vehicles

  7. Appliance and Equipment Efficiency Standards

    Broader source: Energy.gov [DOE]

    Arizona’s Appliance and Equipment Efficiency Standards (Arizona Revised Statutes, Title 44, Section 1375) set minimum energy efficiency standards for twelve products, all of which have since been...

  8. 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 ...

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

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

    Gasoline price forecast to stay below $3 a gallon in 2015 The national average pump price of gasoline is expected to stay below $3 per gallon during 2015. In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular gasoline should average $2.33 per gallon this year. The price of gasoline increased in early February after falling for 17 weeks in a row. But gasoline prices will continue to remain low in 2015 when compared with pump prices in recent

  10. Agent-based model forecasts aging of the population of people who inject drugs in metropolitan Chicago and changing prevalence of hepatitis C infections

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

    Gutfraind, Alexander; Boodram, Basmattee; Prachand, Nikhil; Hailegiorgis, Atesmachew; Dahari, Harel; Major, Marian E.; Kaderali, Lars

    2015-09-30

    People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). HCV prevalence is influenced by a complex interplay of drug-use behaviors, social networks, and geography, as well as the availability of interventions, such as needle exchange programs. To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. We used multiple empirical data sources on Chicago PWID tomore » build a spatial distribution of an in silico PWID population and modeled networks among the PWID by considering the geography of the city and its suburbs. APK was validated against 2012 empirical data (the latest available) and shown to agree with network and epidemiological surveys to within 1%. For the period 2010–2020, APK forecasts a decline in HCV prevalence of 0.8% per year from 44(±2)% to 36(±5)%, although some sub-populations would continue to have relatively high prevalence, including Non-Hispanic Blacks, 48(±5)%. The rate of decline will be lowest in Non-Hispanic Whites and we find, in a reversal of historical trends, that incidence among non-Hispanic Whites would exceed incidence among Non-Hispanic Blacks (0.66 per 100 per years vs 0.17 per 100 person years). APK also forecasts an increase in PWID mean age from 35(±1) to 40(±2) with a corresponding increase from 59(±2)% to 80(±6)% in the proportion of the population >30 years old. Our research highlight the importance of analyzing sub-populations in disease predictions, the utility of computer simulation for analyzing demographic and health trends among PWID and serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.« less

  11. Agent-based model forecasts aging of the population of people who inject drugs in metropolitan Chicago and changing prevalence of hepatitis C infections

    SciTech Connect (OSTI)

    Gutfraind, Alexander; Boodram, Basmattee; Prachand, Nikhil; Hailegiorgis, Atesmachew; Dahari, Harel; Major, Marian E.; Kaderali, Lars

    2015-09-30

    People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). HCV prevalence is influenced by a complex interplay of drug-use behaviors, social networks, and geography, as well as the availability of interventions, such as needle exchange programs. To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. We used multiple empirical data sources on Chicago PWID to build a spatial distribution of an in silico PWID population and modeled networks among the PWID by considering the geography of the city and its suburbs. APK was validated against 2012 empirical data (the latest available) and shown to agree with network and epidemiological surveys to within 1%. For the period 2010–2020, APK forecasts a decline in HCV prevalence of 0.8% per year from 44(±2)% to 36(±5)%, although some sub-populations would continue to have relatively high prevalence, including Non-Hispanic Blacks, 48(±5)%. The rate of decline will be lowest in Non-Hispanic Whites and we find, in a reversal of historical trends, that incidence among non-Hispanic Whites would exceed incidence among Non-Hispanic Blacks (0.66 per 100 per years vs 0.17 per 100 person years). APK also forecasts an increase in PWID mean age from 35(±1) to 40(±2) with a corresponding increase from 59(±2)% to 80(±6)% in the proportion of the population >30 years old. Our research highlight the importance of analyzing sub-populations in disease predictions, the utility of computer simulation for analyzing demographic and health trends among PWID and serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.

  12. Water-Using Equipment: Domestic

    SciTech Connect (OSTI)

    Solana, Amy E.; Mcmordie, Katherine

    2006-01-24

    Water management is an important aspect of energy engineering. This article addresses water-using equipment primarily used for household purposes, including faucets, showers, toilets, urinals, dishwashers, and clothes washers, and focuses on how the equipment can be optimized to save both water and energy. Technology retrofits and operation and maintenance changes are the primary methods discussed for water and energy conservation. Auditing to determine current consumption rates is also described for each technology.

  13. 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...

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

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

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

  15. 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.

  16. 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.

  17. 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)

  18. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

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

  19. 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.

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

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

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

  1. MECS 2006 - Transportation Equipment | Department of Energy

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

    Transportation Equipment MECS 2006 - Transportation Equipment Manufacturing Energy and Carbon Footprint for Transportation Equipment (NAICS 336) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Transportation Equipment More Documents & Publications Transportation Equipment

  2. Transportation Equipment (2010 MECS) | Department of Energy

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

    Transportation Equipment (2010 MECS) Transportation Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Transportation Equipment Sector (NAICS 336) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Transportation Equipment More Documents & Publications MECS 2006 - Transportation Equipment Cement (2010 MECS) Glass and Glass Products (2010

  3. Webinar December 10: Hydrogen Equipment Certification Guide

    Broader source: Energy.gov [DOE]

    The Fuel Cell Technologies Office will present a live webinar titled "Hydrogen Equipment Certification Guide" on Thursday, December 10, from 1 to 2 p.m. EST. The webinar will introduce the Hydrogen Equipment Certification Guide, a document intended to aid in equipment approval until listed equipment are available for the entirety of equipment and components.

  4. 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.

  5. 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.

  6. Celilo shuts down historic equipment and ushers in a new era

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

    member of the Celilo crew with 31 ("almost 32") years of service, loves to joke about his "antiques" - affectionately referring to both the valuable equipment and to...

  7. Advanced Battery Manufacturing Facilities and Equipment Program...

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

    More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program AVTA: 2010 Honda Civic ...

  8. Cruising Equipment Company CECO | Open Energy Information

    Open Energy Info (EERE)

    Equipment Company (CECO) Place: Seattle, Washington Zip: 98107 Product: Maker of pollution control equipment - bought by Xantrex in 2000. Coordinates: 47.60356,...

  9. Moncada Solar Equipment | Open Energy Information

    Open Energy Info (EERE)

    search Name: Moncada Solar Equipment Place: Italy Product: Developer and manufacturer of thin-film modules. References: Moncada Solar Equipment1 This article is a stub. You can...

  10. Advanced Battery Manufacturing Facilities and Equipment Program...

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

    and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program AVTA: 2010 Honda Civic HEV with Experimental Ultra Lead Acid Battery Testing Results

  11. Personal Computing Equipment | Open Energy Information

    Open Energy Info (EERE)

    Computing Equipment Jump to: navigation, search TODO: Add description List of Personal Computing Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titlePersona...

  12. China Shandong Penglai Electric Power Equipment Manufacturing...

    Open Energy Info (EERE)

    Penglai Electric Power Equipment Manufacturing Jump to: navigation, search Name: China Shandong Penglai Electric Power Equipment Manufacturing Place: Penglai, Shandong Province,...

  13. Commercial Refrigeration Equipment | Department of Energy

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

    standards. File Commercial Refrigeration Equipment -- v2.0 More Documents & Publications Beverage Vending Machines Commercial Refrigeration Equipment Fluorescent Lamp Ballasts

  14. Laboratory Equipment Donation Program - LEDP Widget

    Office of Scientific and Technical Information (OSTI)

    LEDP Widget You can access key features of the Laboratory Equipment Donation Program (LEDP) website by downloading the LEDP widget. Use the widget to search, view the equipment ...

  15. Laboratory Equipment Donation Program - About Us

    Office of Scientific and Technical Information (OSTI)

    About LEDP The Laboratory Equipment Donation Program (LEDP), formerly the Energy-Related Laboratory Equipment (ERLE) Grant Program, was established by the United States Department ...

  16. CVD Equipment Corp | Open Energy Information

    Open Energy Info (EERE)

    Place: Ronkonkoma, New York Zip: 11779 Sector: Solar Product: New York-based maker of chemical vapour deposition process equipment. This equipment is used in the manufacture of...

  17. Process Equipment Cost Estimation, Final Report

    Office of Scientific and Technical Information (OSTI)

    ... Evaluations in the Process and Utility Industries," adopted November 1990. 3 equipment. ... Table 6 shows approximate factors for setting various types of equipment. 1 The total cost ...

  18. DMSE Equipment Scheduling | The Ames Laboratory

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

    Scheduling Equipment ownercustodian reserves the right to override the schedule for maintenance andor other justified reasons. Abuse of the scheduling system or equipment may...

  19. Enforcement Policy Statement: Commercial HVAC Equipment Issued...

    Energy Savers [EERE]

    ... that conditions the equipment's supply air using energy transferred from an external source ... SteamHydronic Heat Options. A heat exchanger located inside the equipment that ...

  20. Processing and Manufacturing Equipment | Open Energy Information

    Open Energy Info (EERE)

    Processing and Manufacturing Equipment Jump to: navigation, search TODO: Add description List of Processing and Manufacturing Equipment Incentives Retrieved from "http:...

  1. Trends in powder processing equipment

    SciTech Connect (OSTI)

    Sheppard, L.M.

    1993-05-01

    Spray drying is the most widely used process for producing particles. It is used in industries other than ceramics including food, chemicals, and pharmaceutical. The process involves the atomization of a liquid feed stock into a spray of droplets and contacting the droplets with hot air in a drying chamber. The sprays are produced by either rotary or nozzle atomizers. Evaporation of moisture from the droplets and formation of dry particles proceed under controlled temperature and airflow conditions. Powder is then discharged continuously from the drying chamber. Spray drying equipment is being improved to handle an ever-increasing number of applications. Several developments in particle-size reduction equipment are also described.

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

    SciTech Connect (OSTI)

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

    1983-01-01

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

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. Covered Product Category: Imaging Equipment

    Broader source: Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance for imaging equipment, a product category covered by the ENERGY STAR program. Federal laws and requirements mandate that agencies buy ENERGY STAR qualified products in all product categories covered by this program and any acquisition actions that are not specifically exempted by law.

  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. HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL...

    National Nuclear Security Administration (NNSA)

    HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL BUSINESS PROGRAM RESULTS & FORECAST CATEGORY Total Procurement Total SB Small Disad. Bus Woman-Owned SB Hub-Zone SB ...

  11. Equipment Listing | The Ames Laboratory

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

    Equipment Listing Crystal Preparation and Characterization Resistance Heated Bridgman Crystal Growth Systems Back-Reflection Laue X-ray System Electro-Discharge Machining High and Low speed Diamond Saws Arc Zone Melting Crystal Growth System Lapping Fixtures for Precise Orientation of Crystals (0.1°) Physical Properties Measurement Facilities - Hardness Testing Vickers and Rockwell Hardness Testing Brinell Hardness Instrument Wilson Tukon Micro Hardness Tester Forming and Characterization

  12. Strategy Guideline: HVAC Equipment Sizing

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

    Strategy Guideline: HVAC Equipment Sizing Arlan Burdick IBACOS, Inc. February 2012 This report received minimal editorial review at NREL NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information,

  13. Strategy Guideline: HVAC Equipment Sizing

    SciTech Connect (OSTI)

    Burdick, A.

    2012-02-01

    The heating, ventilation, and air conditioning (HVAC) system is arguably the most complex system installed in a house and is a substantial component of the total house energy use. A right-sized HVAC system will provide the desired occupant comfort and will run efficiently. This Strategy Guideline discusses the information needed to initially select the equipment for a properly designed HVAC system. Right-sizing of an HVAC system involves the selection of equipment and the design of the air distribution system to meet the accurate predicted heating and cooling loads of the house. Right-sizing the HVAC system begins with an accurate understanding of the heating and cooling loads on a space; however, a full HVAC design involves more than just the load estimate calculation - the load calculation is the first step of the iterative HVAC design procedure. This guide describes the equipment selection of a split system air conditioner and furnace for an example house in Chicago, IL as well as a heat pump system for an example house in Orlando, Florida. The required heating and cooling load information for the two example houses was developed in the Department of Energy Building America Strategy Guideline: Accurate Heating and Cooling Load Calculations.

  14. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

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

    SciTech Connect (OSTI)

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

    2012-09-01

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

  20. 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.

  1. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  4. 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.

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

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

    DOE Announces Webinars on Solar Forecasting Metrics, the DOE ... from adopting the latest energy efficiency and renewable ... to liquids technology, advantages of using natural gas, ...

  6. 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...

  7. 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...

  8. Selected papers on fuel forecasting and analysis

    SciTech Connect (OSTI)

    Gordon, R.L.; Prast, W.G.

    1983-05-01

    Of the 19 presentations at this seminar, covering coal, uranium, oil, and gas issues as well as related EPRI research projects, eleven papers are published in this volume. Nine of the papers primarily address coal-market analysis, coal transportation, and uranium supply. Two additional papers provide an evaluation and perspective on the art and use of coal-supply forecasting models and on the relationship between coal and oil prices. The authors are energy analysts and EPRI research contractors from academia, the consulting profession, and the coal industry. A separate abstract was prepared for each of the 11 papers.

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

    SciTech Connect (OSTI)

    Eisenberg, Joel F.

    2005-10-31

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

  10. 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.

  11. HAND TRUCK FOR HANDLING EQUIPMENT

    DOE Patents [OSTI]

    King, D.W.

    1959-02-24

    A truck is described for the handling of large and relatively heavy pieces of equipment and particularly for the handling of ion source units for use in calutrons. The truck includes a chassis and a frame pivoted to the chassis so as to be operable to swing in the manner of a boom. The frame has spaced members so arranged that the device to be handled can be suspended between or passed between these spaced members and also rotated with respect to the frame when the device is secured to the spaced members.

  12. Best Management Practice #11: Commercial Kitchen Equipment

    Broader source: Energy.gov [DOE]

    Commercial kitchen equipment can be a significant water use in the non-residential sector. Water efficiency for commercial kitchen equipment is especially important because high-volume applications...

  13. Solar equipment ravaged by floods gets new life

    Broader source: Energy.gov [DOE]

    Mounting the electrical equipment for a solar array 12 feet off the ground on the side of an art studio building seemed like a safe height at first: it would be well above the 100-year-flood mark and out of reach of vandals.

  14. Carbon Absorber Retrofit Equipment (CARE)

    SciTech Connect (OSTI)

    Klein, Eric

    2015-12-23

    During Project DE-FE0007528, CARE (Carbon Absorber Retrofit Equipment), Neumann Systems Group (NSG) designed, installed and tested a 0.5MW NeuStream® carbon dioxide (CO2) capture system using the patented NeuStream® absorber equipment and concentrated (6 molal) piperazine (PZ) as the solvent at Colorado Springs Utilities’ (CSU’s) Martin Drake pulverized coal (PC) power plant. The 36 month project included design, build and test phases. The 0.5MW NeuStream® CO2 capture system was successfully tested on flue gas from both coal and natural gas combustion sources and was shown to meet project objectives. Ninety percent CO2 removal was achieved with greater than 95% CO2product purity. The absorbers tested support a 90% reduction in absorber volume compared to packed towers and with an absorber parasitic power of less than 1% when configured for operation with a 550MW coal plant. The preliminary techno-economic analysis (TEA) performed by the Energy and Environmental Research Center (EERC) predicted an over-the-fence cost of $25.73/tonne of CO2 captured from a sub-critical PC plant.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19

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

  17. Buildings Energy Data Book: 5.3 Heating, Cooling, and Ventilation Equipment

    Buildings Energy Data Book [EERE]

    4 Residential Air Conditioner and Heat Pump Cooling Efficiencies 2005 2007 2007 Stock Equipment Type Air Conditioners SEER 10.2 13.0 21.0 Heat Pump - Cooling Air-Source SEER 10.0 13.0 17.0 Ground-Source EER 13.8 16.0 30.0 Heat Pump - Heating Air-Source HSPF 6.8 7.7 10.6 Ground-Source COP 3.4 3.4 5.0 Source(s): EIA/Navigant Consulting, EIA - Technology Forecast Updates - Residential and Commercial Buildings Technologies Reference Case, Second Edition (Revised), Sept. 2007, p. 26-31. Efficiency

  18. 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.

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

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

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

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

  1. Development of an Improved Process for Installation Projects of High Technology Manufacturing Equipment

    SciTech Connect (OSTI)

    Quintana, Sarah V.

    2014-04-30

    High technology manufacturing equipment is utilized at Los Alamos National Laboratory (LANL) to support nuclear missions. This is undertaken from concept initiation where equipment is designed and then taken through several review phases, working closely with system engineers (SEs) responsible for each of the affected systems or involved disciplines (from gasses to HVAC to structural, etc.). After the design is finalized it moves to procurement and custom fabrication of the equipment and equipment installation, including all of the paperwork involved. Not only are the engineering and manufacturing aspects important, but also the scheduling, financial forecasting, and planning portions that take place initially and are sometimes modified as the project progresses should requirements, changes or additions become necessary. The process required to complete a project of this type, including equipment installation, is unique and involves numerous steps to complete. These processes can be improved and recent work on the Direct Current Arc (DC Arc) Glovebox Design, Fabrication and Installation Project provides an opportunity to identify some important lessons learned (LL) that can be implemented in the future for continued project improvement and success.

  2. 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.

  3. Twenty years after '95: What climate change means for heat waves...

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

    Twenty years after '95: What climate change means for heat waves, cities and forecasting ... "In the last few years, there's been a big push to get instruments into urban areas." ...

  4. 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...

  5. Laboratory Equipment Donation Program - Application Process

    Office of Scientific and Technical Information (OSTI)

    Equipment listings on the LEDP web site are obtained from the U.S. General Services Administration (GSA) Energy Asset Disposal System (EADS). Once equipment is listed, EADS allows 30 days for grantees from eligible institutions to apply for it on the LEDP site. Equipment Condition Codes are found near the top of the "LEDP Equipment Information" page for each item. The condition of equipment is graded as follows: 1: Unused Good Condition 4: Used Good Condition 7: Repairable Requires

  6. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01

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

  7. 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.

  8. Workshop on environmental qualification of electric equipment

    SciTech Connect (OSTI)

    Lofaro, R.; Gunther, W.; Villaran, M.; Lee, B.S.; Taylor, J.

    1994-05-01

    Questions concerning the Environmental Qualification (EQ) of electrical equipment used in commercial nuclear power plants have recently become the subject of significant interest to the US Nuclear Regulatory Commission (NRC). Initial questions centered on whether compliance with the EQ requirements for older plants were adequate to support plant operation beyond 40 years. After subsequent investigation, the NRC Staff concluded that questions related to the differences in EQ requirements between older and newer plants constitute a potential generic issue which should be evaluated for backfit, independent of license renewal activities. EQ testing of electric cables was performed by Sandia National Laboratories (SNL) under contract to the NRC in support of license renewal activities. Results showed that some of the environmentally qualified cables either failed or exhibited marginal insulation resistance after a simulated plant life of 20 years during accident simulation. This indicated that the EQ process for some electric cables may be non-conservative. These results raised questions regarding the EQ process including the bases for conclusions about the qualified life of components based upon artificial aging prior to testing.

  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. Better metallurgy for process equipment

    SciTech Connect (OSTI)

    Rayner, R.E.

    1994-01-01

    Metallurgy choices have expanded significantly for process equipment and pumps used for handling difficult corrosive fluids. If they have been specifying the austenitic AISI types 316, 316L, 317, 317L or the newer first generation alloy 329 in their pumps, there is a strong message in recent literature. Based on tests and experience there are better, often less costly alternatives. In the case of CD[sub 4]MCu, N08020 and 904L, there are lower-cost material alternatives for many applications. For SA S31254 and SA N08367, there are some less aggressive can be substituted. These alternatives are the new second generation duplex steels. The lower cost of the duplex alloys is a result of the reduced nickel content, which is about half that of the standard austenitics. Also, their carbon content is low; the same as 316L and 317L for most alloys, including S31803. The second generation duplex alloys offer significant value improvement in a vast majority of applications over the common austenitics and ferritics. Further, their improved resistance to corrosion and improved physical properties relative to the expensive. and in many cases proprietary, highly corrosion-resistant, super-ferritics and super-austenitics, means that they can and should be considered as an alternative for applications where those materials are now overqualified. Strength, toughness and wide corrosion resistance are all-important properties and considerations for process pump materials. Combine these with competitive cost and there is an opportunity that must be investigated.

  11. Novel Energy Conversion Equipment for Low Temperatures Geothermal...

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

    Energy Conversion Equipment for Low Temperatures Geothermal Resources Novel Energy Conversion Equipment for Low Temperatures Geothermal Resources Novel Energy Conversion Equipment ...

  12. Category:Smart Grid Projects - Equipment Manufacturing | Open...

    Open Energy Info (EERE)

    Smart Grid Projects - Equipment Manufacturing Jump to: navigation, search Smart Grid Projects - Equipment Manufacturing category. Pages in category "Smart Grid Projects - Equipment...

  13. Equipment-Resources-PHaSe-EFRC

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

    Equipment Equipment photo Last update 30 April 2015. People wishing to use equipment listed below must first receive training and permission from the Facility Director, or present instrument contact person, who can provide basic training and information from an experienced user. Training and access must be arranged in advance of first use. Reservation of usage time for a number of instruments requires you to set up an account on the Facilities Online Manager (FOM) service! Connect to the

  14. NREL: Energy Storage - Facilities and Equipment

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

    Facilities and Equipment Arial photo of several buildings. NREL's ESIF is the first U.S. facility with capabilities to conduct megawatt-scale R&D examining integration of power grids, buildings, vehicles, charging systems, and energy storage systems. Photo of scientific equipment in a laboratory setting. Differential scanning calorimeter. Photo of a row of ten tall rectangular panels (battery cyclers). Battery cyclers. Photo of scientific equipment and computer monitors in a laboratory

  15. Smart Buildings Equipment Initiative | Department of Energy

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

    Buildings Equipment Initiative Smart Buildings Equipment Initiative Lead Performers: -- Pacific Northwest National Laboratory - Richland, WA -- National Renewable Energy Laboratory - Golden, CO DOE Funding: $2,100,000 Cost Share: N/A Project Term: Oct. 2014 - Sept. 2015 PROJECT OBJECTIVE The purpose of this project is to develop data taxonomies and standard communication protocols that enable building equipment to engage the larger electric system and to develop analytic methods and testing

  16. Decontamination and Decommisioning Equipment Tracking System

    Energy Science and Technology Software Center (OSTI)

    1994-08-26

    DDETS is Relational Data Base Management System (RDBMS) which incorporates 1-D (code 39) and 2-D (PDF417) bar codes into its equipment tracking capabilities. DDETS is compatible with the Reportable Excess Automated Property System (REAPS), and has add, edit, delete and query capabilities for tracking equipment being decontaminated and decommissioned. In addition, bar code technology is utilized in the inventory tracking and shipping of equipment.

  17. INL Equipment to Aid Regional Response Team

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

    transferred are a Crossley Custom Bomb Trailer for transporting suspect devices to a safe location, and a 3500 GVWR trailer for transporting equipment. Editorial Date November 28...

  18. Laboratory Equipment Donation Program - Guidelines/FAQ

    Office of Scientific and Technical Information (OSTI)

    Frequently Asked Questions Who is eligible to apply for equipment? Due to budget constraints, the free shipping program for "high need schools" has been discontinued; and middle ...

  19. Heavy Mobile Equipment Mechanic (1 Mechanic Shop)

    Broader source: Energy.gov [DOE]

    A successful candidate will perform preventative, predictive, and corrective maintenance on Bonneville Power Administration (BPA's) light and heavy mobile equipment in maintenance and filed...

  20. CRAD, Equipment and Piping Labeling Assessment Plan

    Broader source: Energy.gov [DOE]

    This assessment provides a basis for evaluating the effectiveness of the contractor’s program for labeling equipment and piping and for establishing compliance with DOE requirements.

  1. China Power Equipment Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Jump to: navigation, search Name: China Power Equipment Inc Place: Xian, China Zip: 70075 Product: China-based manufacturer of energy saving transformers and transformer cores....

  2. Equips Nucleares SA | Open Energy Information

    Open Energy Info (EERE)

    SA Place: Madrid, Spain Zip: 28006 Sector: Services Product: ENSA is a Spanish nuclear components and nuclear services supply company. References: Equips Nucleares, SA1...

  3. Laboratory Equipment Donation Program - Contact Us

    Office of Scientific and Technical Information (OSTI)

    Contact Us If you have a question about the Laboratory Equipment Donation Program (LEDP), we recommend you check frequently asked questions. If your question still has not been ...

  4. CRAD, Nuclear Facility Construction - Mechanical Equipment -...

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

    Nuclear Facility Construction - Mechanical Equipment Installation, (HSS CRAD 45-53, Rev. 0) This Criteria Review and Approach Document (HSS CRAD 45-53) establishes review criteria...

  5. Equipment Certification Requirements | Open Energy Information

    Open Energy Info (EERE)

    Fuel Cells Geothermal Electric Hydroelectric energy Hydroelectric (Small) Natural Gas Nuclear Solar Photovoltaics Tidal Energy Wave Energy Wind energy Yes Madison - Equipment...

  6. Commercial and Industrial Kitchen Equipment Rebate Program

    Broader source: Energy.gov [DOE]

    NOTE: All equipment must be installed on or after January 1, 2015 through December 31, 2015. The documentation must be received no later than March 31, 2016. 

  7. PPP Equipment Corporation | Open Energy Information

    Open Energy Info (EERE)

    PPP Equipment Corporation Sector: Solar Product: PPP-E designs, produces and markets Chemical Vapor Deposition (CVD) reactors and converter systems producing high-purity...

  8. Heavy Mobile Equipment Mechanic (One Mechanic Shop)

    Broader source: Energy.gov [DOE]

    Join the Bonneville Power Administration (BPA) for a challenging and rewarding career, while working, living, and playing in the Pacific Northwest. The Heavy Mobile Equipment Mechanic (One Mechanic...

  9. Appliance and Equipment Standards Program Logic Model

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

    ... Appliance & Equipment Standards Program Logic Model OBJECTIVE ACTIVITIES KEY OUTPUT ... Non-compliance warnings Standards* developed with stakeholder input Procedures available ...

  10. Agricultural Lighting and Equipment Rebate Program

    Broader source: Energy.gov [DOE]

    In Vermont, agricultural operations are eligible for prescriptive and customized incentives for equipment proven to help make farms more efficient. Prescriptive rebates are available for lighting...

  11. Permit for Charging Equipment Installation: Electric Vehicle...

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

    ... Where electric vehicle nonvented storage batteries are used or where the electric vehicle supply equipment is listed or labeled as suitable for charging electric vehicles indoors ...

  12. Semiconductor Equipment and Materials International SEMI | Open...

    Open Energy Info (EERE)

    search Name: Semiconductor Equipment and Materials International (SEMI) Place: San Jose, California Zip: 95134 2127 Product: Global trade association, publisher and conference...

  13. Stangl Semiconductor Equipment AG | Open Energy Information

    Open Energy Info (EERE)

    German manufacturer of wet chemistry systems for processing silicon and thin-film solar cells. References: Stangl Semiconductor Equipment AG1 This article is a stub. You...

  14. 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

  15. Solar Trackers Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Solar Trackers Market Forecast Home John55364's picture Submitted by John55364(100) Contributor 12 May, 2015 - 03:54 Solar Trackers Market - Global Industry Analysis, Size, Share,...

  16. 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....

  17. 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.

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

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

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : CCPP-ARM Parameterization Testbed Model Forecast Data Dataset contains the NCAR...

  19. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    1995-05-01

    This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

  20. 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.

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

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

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

  2. 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.

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

    Office of Scientific and Technical Information (OSTI)

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

  4. 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...

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

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

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

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

    Office of Environmental Management (EM)

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

  7. National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment

    SciTech Connect (OSTI)

    Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

    1982-03-31

    The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

  8. Modeling and forecasting the distribution of Vibrio vulnificus in

    Office of Scientific and Technical Information (OSTI)

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

  9. 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

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

    Energy Savers [EERE]

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

  11. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National

    Office of Scientific and Technical Information (OSTI)

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

  12. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in the journal Nature Climate Change, suggest that global models may underestimate predictions of forest death. December 21, 2015 Los Alamos scientist Nate McDowell discusses how climate change is killing trees with PBS NewsHour reporter Miles O'Brien. Los Alamos scientist Nate McDowell discusses how climate change is

  13. Improved Biomass Cooking Stoves and Improved Stove Emission Equipment

    SciTech Connect (OSTI)

    HATFIELD, MICHAEL; Still, Dean

    2013-04-15

    In developing countries, there is an urgent need for access to safe, efficient, and more affordable cooking technologies. Nearly 2.5 billion people currently use an open fire or traditional cookstove to prepare their meals, and recent models predict that use of biomass for cooking will continue to be the dominant energy use in rural, resource-poor households through 2030. For these families, cooking poses serious risks to health, safety, and income. An alarming 4 million people, primarily women and children, die prematurely each year from indoor and outdoor exposure to the harmful emissions released by solid fuel combustion. Use of traditional stoves can also have a significant impact on deforestation and climate change. This dire situation creates a critical need for cookstoves that significantly and verifiably reduce fuel use and emissions in order to reach protective levels for human health and the environment. Additionally, advances in the scientific equipment needed to measure and monitor stove fuel use and emissions have not kept pace with the significant need within the industry. While several testing centers in the developed world may have hundred thousand-dollar emissions testing systems, organizations in the field have had little more than a thermometer, a scale, and subjective observations to quantify the performance of stove designs. There is an urgent need for easy-to-use, inexpensive, accurate, and robust stove testing equipment for use by laboratory and field researchers around the world. ASAT and their research partner, Aprovecho Research Center (ARC), have over thirty years of experience addressing these two needs, improved cookstoves and emissions monitoring equipment, with expertise spanning the full spectrum of development from conceptual design to product manufacturing and dissemination. This includes: 1) research, design, and verification of clean biomass cookstove technology and emissions monitoring equipment; 2) mass production of quality-controlled stove and emissions equipment at levels scalable to meet global demand; and 3) global distribution through a variety of channels and partners. ARC has been instrumental in designing and improving more than 100 stove designs over the past thirty years. In the last four years, ASAT and ARC have played a key role in the production and sales of over 200,000 improved stoves in the developed and developing world. The ARC-designed emissions equipment is currently used by researchers in laboratories and field studies on five continents. During Phase I of the DOE STTR grant, ASAT and ARC worked together to apply their wealth of product development experience towards creating the next generation of improved cookstoves and emissions monitoring equipment. Highlights of Phase I for the biomass cookstove project include 1) the development of several new stove technologies that reached the DOE 50/90 benchmark; 2) fabrication of new stove prototypes by ASATs manufacturing partner, Shengzhou Stove Manufacturing (SSM); 3) field testing of prototype stoves with consumers in Puerto Rico and the US; and 4) the selection of three stove prototypes for further development and commercialization during Phase II. Highlights of Phase I for the emissions monitoring equipment project include: 1) creation of a new emissions monitoring equipment product, the Laboratory Emissions Monitoring System (LEMS 2) the addition of gravimetric PM measurements to the stove testing systems to meet International Standards Organization criteria; 3) the addition of a CO{sub 2} sensor and wireless 3G capability to the IAP Meter; and 4) and the improvement of sensors and signal quality on all systems. Twelve Regional Testing and Knowledge Centers purchased this equipment during the Phase I project period.

  14. 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

  15. Appliance/Equipment Efficiency Standards | Open Energy Information

    Open Energy Info (EERE)

    ApplianceEquipment Efficiency Standards Massachusetts Boilers Furnaces No Appliance Energy Efficiency Standards (Maryland) ApplianceEquipment Efficiency Standards Maryland...

  16. Laboratory Equipment Donation Program - Home Page

    Office of Scientific and Technical Information (OSTI)

    Get the tools you need to inspire innovation and creativity The United States Department of Energy (DOE), in accordance with its responsibility to encourage research and development in the energy area, awards grants of used energy-related laboratory equipment. equipment

  17. General Restaurant Equipment: Order (2013-CE-5344)

    Broader source: Energy.gov [DOE]

    DOE ordered General Restaurant Equipment Co. to pay a $8,000 civil penalty after finding General Restaurant Equipment had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

  18. Universal null DTE (data terminal equipment)

    DOE Patents [OSTI]

    George, M.; Pierson, L.G.; Wilkins, M.E.

    1987-11-09

    A communication device in the form of data terminal equipment permits two data communication equipments, each having its own master clock and operating at substantially the same nominal clock rate, to communicate with each other in a multi-segment circuit configuration of a general communication network even when phase or frequency errors exist between the two clocks. Data transmitted between communication equipments of two segments of the communication network is buffered. A variable buffer fill circuit is provided to fill the buffer to a selectable extent prior to initiation of data output clocking. Selection switches are provided to select the degree of buffer preload. A dynamic buffer fill circuit may be incorporated for automatically selecting the buffer fill level as a function of the difference in clock frequencies of the two equipments. Controllable alarm circuitry is provided for selectively generating an underflow or an overflow alarm to one or both of the communicating equipments. 5 figs.

  19. Automatic monitoring of vibration welding equipment

    DOE Patents [OSTI]

    Spicer, John Patrick; Chakraborty, Debejyo; Wincek, Michael Anthony; Wang, Hui; Abell, Jeffrey A; Bracey, Jennifer; Cai, Wayne W

    2014-10-14

    A vibration welding system includes vibration welding equipment having a welding horn and anvil, a host device, a check station, and a robot. The robot moves the horn and anvil via an arm to the check station. Sensors, e.g., temperature sensors, are positioned with respect to the welding equipment. Additional sensors are positioned with respect to the check station, including a pressure-sensitive array. The host device, which monitors a condition of the welding equipment, measures signals via the sensors positioned with respect to the welding equipment when the horn is actively forming a weld. The robot moves the horn and anvil to the check station, activates the check station sensors at the check station, and determines a condition of the welding equipment by processing the received signals. Acoustic, force, temperature, displacement, amplitude, and/or attitude/gyroscopic sensors may be used.

  20. FY 1996 solid waste integrated life-cycle forecast container summary volume 1 and 2

    SciTech Connect (OSTI)

    Valero, O.J.

    1996-04-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the containers expected to be used for these waste shipments from 1996 through the remaining life cycle of the Hanford Site. In previous years, forecast data have been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to the more detailed report on waste volumes: WHC-EP0900, FY 1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary. Both of these documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on the types of containers that will be used for packaging low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major waste generators for each waste category and container type are also discussed. Containers used for low-level waste (LLW) are described in Appendix A, since LLW requires minimal treatment and storage prior to onsite disposal in the LLW burial grounds. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste are expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters.

  1. 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

  2. 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.

  3. Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results

    SciTech Connect (OSTI)

    Koomey, J.G.; Brown, R.E.; Richey, R.

    1995-12-01

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  4. Subsea equipment marriage is top ROV priority

    SciTech Connect (OSTI)

    Redden, J.

    1985-04-01

    Interfacing subsea equipment with remotely operated vehicles (ROV's) and the further development of arctic-class units are the primary challenges facing manufacturers. Worldwide use of the ROV for drilling support has exploded during this decade as oil companies continue their search in deeper waters. If the unmanned vehicles are to become an even more integral tool of the oilman, experts say they must be able to perform more complex tasks. The evolution of more multi-purpose ROVs, however, hinges on the redesigning of subsea equipment. The severe limitations on subsea support (by ROVs) is the obsolete design associated with the subsea equipment itself. These limitations are discussed.

  5. Water-Using Equipment: Commercial and Industrial

    SciTech Connect (OSTI)

    Solana, Amy E.; Mcmordie, Katherine

    2006-01-24

    Water is an important aspect of many facets in energy engineering. While the previous article detailed domestic related water-using equipment such as toilets and showerheads, this article focuses on various types of water-using equipment in commercial and industrial facilities, including commercial dishwashers and laundry, single-pass cooling equipment, boilers and steam generators, cooling towers, and landscape irrigation. Opportunities for water and energy conservation are explained, including both technology retrofits and operation and maintenance changes. Water management planning and leak detection are also included as they are essential to a successful water management program.

  6. BCM 2 Equipment Inventory | Sample Preparation Laboratories

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

    2 Equipment Inventory « Biology Chemistry & Material Science Laboratory 2 Title Equipment Type Description Accumet Basic AB15 pH meter pH Meter pH meters with combination Ag/AgCl electrode and ATC probe. Corning 430 pH Meter pH Meter (Cold Room) Corning 430 pH meter. Corning 6795-420D Digital Stirrer/Hot Plate w/ temp probe Temperature Control Digital Hot Plate/Stirrer, 5 inch x 7 inch ceramic top, temperature range: 5° to 550°C; stir range: 60 to 1100rpm. The hot plate is equipment with

  7. U.S. oil production expected to decline over next year, rebounding...

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

    In its new forecast, the U.S. Energy Information Administration said U.S. crude oil production which averaged 9.4 million barrels per day during the first half of this year is ...

  8. Handbook for face-to-face moves of longwall equipment

    SciTech Connect (OSTI)

    Adam, R.F.J.; Pimentel, R.A.; Shoff, W.E.

    1982-10-01

    The problem of moving the equipment of a longwall face from one (the finished) panel to the next has always been an issue critical to any longwall operation. In the United States, moving longwall equipment from panel to panel takes an average of 20 days, and moves as long as 30 days are no exception. With $8 million invested and a 20% return on investment, a longwall move of four weeks represents a $135,000 opportunity loss, in addition to the $200,000 labor required to perform the move and the interest and depreciation related to the equipment. A four to six week move each year will decrease the longwall yearly production by 10% to 15%. For the average US longwall, move time reduction is second only to increasing the system availability in its production improvement potential. The reduction of move time can only be achieved through careful planning, optimal method development, and effective and efficient operational procedures. This handbook has been developed to provide the US coal mining industry with a comprehensive background for and guidance in performing safe and efficient face-to-face moves.

  9. REAL ESTATE & EQUIPMENT LEASING / RENTAL CALIFORNIA LAWRENCE...

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

    ... Other Commercial and Industrial Machinery and Equipment Rental and Leasing 532490 NEVADA NEVADA SITE OFFICE POC Anita Ross Telephone (702) 295-5690 Email rossal@nv.doe.gov Lessors ...

  10. Liberty Utilities Iowa High Efficiency Equipment Rebate

    Broader source: Energy.gov [DOE]

    Liberty Utilities offers a rebate to its Iowa residential and small business customers for the purchase of high efficiency ENERGY STAR natural gas home heating and water heating equipment....

  11. Consider Steam Turbine Drives for Rotating Equipment

    SciTech Connect (OSTI)

    Not Available

    2006-01-01

    This revised ITP tip sheet on steam turbine drives for rotating equipment provides how-to advice for improving the system using low-cost, proven practices and technologies.

  12. Renewable Energy Equipment Exemption | Department of Energy

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

    100% of sales tax Summary Iowa allow a sales tax exemption for solar, wind, and hydroelectricity equipment. As of August 2014, the Iowa sales tax rate is 6%. Wind For wind energy...

  13. Hot conditioning equipment conceptual design report

    SciTech Connect (OSTI)

    Bradshaw, F.W., Westinghouse Hanford

    1996-08-06

    This report documents the conceptual design of the Hot Conditioning System Equipment. The Hot conditioning System will consist of two separate designs: the Hot Conditioning System Equipment; and the Hot Conditioning System Annex. The Hot Conditioning System Equipment Design includes the equipment such as ovens, vacuum pumps, inert gas delivery systems, etc.necessary to condition spent nuclear fuel currently in storage in the K Basins of the Hanford Site. The Hot Conditioning System Annex consists of the facility of house the Hot Conditioning System. The Hot Conditioning System will be housed in an annex to the Canister Storage Building. The Hot Conditioning System will consist of pits in the floor which contain ovens in which the spent nuclear will be conditioned prior to interim storage.

  14. Biomass Equipment & Materials Compensating Tax Deduction

    Broader source: Energy.gov [DOE]

    In 2005, New Mexico adopted a policy to allow businesses to deduct the value of biomass equipment and biomass materials used for the processing of biopower, biofuels, or biobased products in...

  15. Capital Equipment Validation Form | The Ames Laboratory

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

    Capital Equipment Validation Form Version Number: 2.0 Document Number: Form 48100.001 Effective Date: 02/2015 File (public): Office spreadsheet icon form_48100.001_rev2.xls

  16. Field surveys of office equipment operating patterns

    SciTech Connect (OSTI)

    Webber, Carrie A.; Roberson, Judy A.; Brown, Richard E.; Payne, Christopher T.; Nordman, Bruce; Koomey, Jonathan G.

    2001-09-05

    This paper presents the results of 11 after-hours walk-throughs of offices in the San Francisco CA and Washington D.C. areas. The primary purpose of these walk-throughs was to collect data on turn-off rates for various types of office equipment (computers, monitors, printers, fax machines, copiers, and multifunction products). Each piece of equipment observed was recorded and its power status noted (e.g. on, off, low power). Whenever possible, we also recorded whether power management was enabled on the equipment. The floor area audited was recorded as well, which allowed us to calculate equipment densities. We found that only 44 percent of computers, 32 percent of monitors, and 25 percent of printers were turned off at night. Based on our observations we estimate success rates of 56 percent for monitor power management and 96 percent for enabling of power management on printers.

  17. Property Tax Assessment for Renewable Energy Equipment

    Broader source: Energy.gov [DOE]

    H.B. 2403 of 2014 clarified that depreciation should be determined using straight-line depreciation over the useful life of the equipment. The taxable original cost equals the original cost of th...

  18. 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.

  19. Advanced Battery Manufacturing Facilities and Equipment Program |

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

    Department of Energy 2 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon arravt002_es_flicker_2012_p.pdf More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program AVTA: 2010 Honda Civic HEV with Experimental Ultra Lead Acid Battery Testing Results

  20. Advanced Battery Manufacturing Facilities and Equipment Program |

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

    Department of Energy 1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon arravt002_es_flicker_2011_p.pdf More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program Fact Sheet: Grid-Scale Energy Storage Demonstration Using UltraBattery Technology (August 2013)

  1. Geoscience Equipment Inventory | Sample Preparation Laboratories

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

    Geoscience Equipment Inventory « Geoscience Laboratory Title Equipment Type Description Coy Anaerobic Chamber Inert Atmosphere Chamber Coy anaerobic chamber (Type C, model 7100-000) with auto airlock for wet and dry sample preparations, 5% H2/95% N2 mix atmosphere, and auto injection system. Fisher Scientific General Purpose Refrigerator Temperature Control Fisher Scientific General Purpose refrigerator. Fisher Scientific Isotemp Freezer Temperature Control Fisher Scientific Isotemp Freezer.

  2. Available for Checkout Equipment Inventory | Sample Preparation

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

    Laboratories Available for Checkout Equipment Inventory « Equipment Resources Title Description Agate Mortar & Pestle Sets Agate mortar & pestle sets (100mm, 65 mm, & 50mm sizes). Buchi V-700 Vacuum Pump & condenser Chemically resistant vacuum pump, flow rate 1.8m^3/h, ultimate vacuum less than 10mbar. The secondary condenser (Buchi 047180) is a complete module with insulation and 500mL receiving flask. Campden Instruments Vibrating Manual Tissue Cutter HA 752 Campden

  3. LNG to the year 2000

    SciTech Connect (OSTI)

    Davenport, S.T.

    1984-04-01

    By 2000, about 190 MM metric-tpy of LNG will be moving in world trade, with Asia-Pacific as the dominant producer By the year 2000, approximately 190 million metric tons per year of LNG will be moving in worldwide trade. Production of LNG will be spread throughout most of the world, with Asia-Pacific as the dominant producer. LNG will be delivered only to the heavily industrialized areas of North America, Europe and Asia-Pacific. The success of any LNG project will be dependent on its individual economics, market needs, financial planning, and governmental permit processes. We hope industry will be able to put together the LNG projects required to meet the quanitities of production forecast here for the year 2000.

  4. DOE Releases Latest Report on Energy Savings Forecast of Solid-State Lighting

    Broader source: Energy.gov [DOE]

    DOE has published a new report forecasting the energy savings of LED white-light sources compared with conventional white-light sources. The sixth iteration of the Energy Savings Forecast of Solid...

  5. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011

    SciTech Connect (OSTI)

    Piwko, R.; Jordan, G.

    2011-11-01

    This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

  6. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01

    Report surveys grid wind power forecasts for all wind generators, which are administered by utilities or regional transmission organizations (RTOs), typically with the assistance of one or more wind power forecasting companies.

  7. Year 2000 TWRS Maintenance procedure review report

    SciTech Connect (OSTI)

    ADAMS, M.R.

    1999-02-24

    A concern exists that some equipment in use might contain microprocessors that are dependent upon a time date function. The majority of the software programming for microprocessors has only utilized a 2 digit identifier for the year. With the approach of the year 2000, (Y2K), there is concern that the date function will not be correctly recognized and some functions will not operate properly. TWRS maintenance procedures have been reviewed to identify equipment components that may not be Y2K compliant. Engineering judgment was utilized to eliminate procedures and equipment that is obviously not impacted by Y2K.

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

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

    Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during

  9. 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

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

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

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

  11. 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.

  12. Mercury emissions from municipal solid waste combustors. An assessment of the current situation in the United States and forecast of future emissions

    SciTech Connect (OSTI)

    1993-05-01

    This report examines emissions of mercury (Hg) from municipal solid waste (MSW) combustion in the United States (US). It is projected that total annual nationwide MSW combustor emissions of mercury could decrease from about 97 tonnes (1989 baseline uncontrolled emissions) to less than about 4 tonnes in the year 2000. This represents approximately a 95 percent reduction in the amount of mercury emitted from combusted MSW compared to the 1989 mercury emissions baseline. The likelihood that routinely achievable mercury emissions removal efficiencies of about 80 percent or more can be assured; it is estimated that MSW combustors in the US could prove to be a comparatively minor source of mercury emissions after about 1995. This forecast assumes that diligent measures to control mercury emissions, such as via use of supplemental control technologies (e.g., carbon adsorption), are generally employed at that time. However, no present consensus was found that such emissions control measures can be implemented industry-wide in the US within this time frame. Although the availability of technology is apparently not a limiting factor, practical implementation of necessary control technology may be limited by administrative constraints and other considerations (e.g., planning, budgeting, regulatory compliance requirements, etc.). These projections assume that: (a) about 80 percent mercury emissions reduction control efficiency is achieved with air pollution control equipment likely to be employed by that time; (b) most cylinder-shaped mercury-zinc (CSMZ) batteries used in hospital applications can be prevented from being disposed into the MSW stream or are replaced with alternative batteries that do not contain mercury; and (c) either the amount of mercury used in fluorescent lamps is decreased to an industry-wide average of about 27 milligrams of mercury per lamp or extensive diversion from the MSW stream of fluorescent lamps that contain mercury is accomplished.

  13. 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.

  14. 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.

  15. 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.

  16. Alternative Fuels Data Center: Installing New E85 Equipment

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

    Installing New E85 Equipment to someone by E-mail Share Alternative Fuels Data Center: Installing New E85 Equipment on Facebook Tweet about Alternative Fuels Data Center: Installing New E85 Equipment on Twitter Bookmark Alternative Fuels Data Center: Installing New E85 Equipment on Google Bookmark Alternative Fuels Data Center: Installing New E85 Equipment on Delicious Rank Alternative Fuels Data Center: Installing New E85 Equipment on Digg Find More places to share Alternative Fuels Data

  17. 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.

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

    Broader source: Energy.gov [DOE]

    Four major research objectives were completed over the course of this study. Three of the objectives were to evaluate three, new, state-of-the-art solar irradiance forecasting models. The fourth objective was to improve the California independent system operator’s load forecasts by integrating behind-the-meter photovoltaic forecasts.

  19. Zhejiang DunAn Artificial Environmental Equipment Co Ltd | Open...

    Open Energy Info (EERE)

    DunAn Artificial Environmental Equipment Co Ltd Jump to: navigation, search Name: Zhejiang DunAn Artificial Environmental Equipment Co Ltd Place: Zhuji, Zhejiang Province, China...

  20. Product Standards for Vending Equipment (Japan) | Open Energy...

    Open Energy Info (EERE)

    Vending Equipment (Japan) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Product Standards for Vending Equipment (Japan) Focus Area: Energy Efficiency Topics: Policy...

  1. Zhangjiakou Kunyuan Wind Power Equipment Co | Open Energy Information

    Open Energy Info (EERE)

    Kunyuan Wind Power Equipment Co Jump to: navigation, search Name: Zhangjiakou Kunyuan Wind Power Equipment Co Place: Zhangjiakou, Hebei Province, China Sector: Wind energy Product:...

  2. Harbin Hafei Winwind Wind Power Equipment Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Hafei Winwind Wind Power Equipment Co Ltd Jump to: navigation, search Name: Harbin Hafei-Winwind Wind Power Equipment Co Ltd Place: Harbin, Heilongjiang Province, China Zip: 150060...

  3. Jilin Tianhe Wind Power Equipment Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Equipment Co Ltd Jump to: navigation, search Name: Jilin Tianhe Wind Power Equipment Co Ltd Place: Baicheng, Jilin Province, China Sector: Wind energy Product:...

  4. Foshan Dongxing Fengying Wind Power Equipment Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Dongxing Fengying Wind Power Equipment Co Ltd Jump to: navigation, search Name: Foshan Dongxing Fengying Wind Power Equipment Co Ltd Place: Foshan, China Zip: 528000 Sector: Wind...

  5. Baoding Hengyi Wind Power Equipment Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    Baoding Hengyi Wind Power Equipment Co Ltd Jump to: navigation, search Name: Baoding Hengyi Wind Power Equipment Co Ltd Place: Baoding, Hebei Province, China Product: Baoding-based...

  6. Harbin Wind Power Equipment Company | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Equipment Company Jump to: navigation, search Name: Harbin Wind Power Equipment Company Place: Harbin, Heilongjiang Province, China Sector: Wind energy Product: A wind...

  7. Jiangsu Guoshen Wind Power Equipment Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    Guoshen Wind Power Equipment Co Ltd Jump to: navigation, search Name: Jiangsu Guoshen Wind Power Equipment Co Ltd Place: Yancheng, Jiangsu Province, China Sector: Wind energy...

  8. Nantong Hongbo Windpower Equipment Co Ltd HWE | Open Energy Informatio...

    Open Energy Info (EERE)

    Nantong Hongbo Windpower Equipment Co Ltd HWE Jump to: navigation, search Name: Nantong Hongbo Windpower Equipment Co Ltd (HWE) Place: Nantong, Jiangsu Province, China Zip: 226371...

  9. Biogas, Solar, and Wind Energy Equipment Exemption | Department...

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

    Biogas, Solar, and Wind Energy Equipment Exemption Biogas, Solar, and Wind Energy Equipment Exemption < Back Eligibility Commercial Industrial Residential Agricultural Multifamily...

  10. PNC Bank Equipment Finance and Energy Group | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name: PNC Bank - Equipment Finance and Energy Group Place: Valencia, California Zip: 91355 Product: Energy and Equipment Finance arm of PNC Bank...

  11. AVTA: Airport Ground Support Equipment Specifications and Test...

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

    Airport Ground Support Equipment Specifications and Test Procedures AVTA: Airport Ground Support Equipment Specifications and Test Procedures PDF icon eGSE America Electric Baggage ...

  12. Dispensing Equipment Testing With Mid-Level Ethanol/Gasoline...

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

    Dispensing Equipment Testing With Mid-Level EthanolGasoline Test Fluid Dispensing Equipment Testing With Mid-Level EthanolGasoline Test Fluid The National Renewable Energy ...

  13. Beijing Jingyi Century Automatic Equipment Co Ltd | Open Energy...

    Open Energy Info (EERE)

    beijing Jingyi Century Automatic Equipment Co Ltd Place: Beijing Municipality, China Zip: 100079 Product: A Chinese equipment manufacturer provides monosilicon ingot puller and...

  14. CXD 4605, Disposition Excess Equipment from Alpha 1 (4605)

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

    Disposition Excess Equipment from Alpha 1 (4605) Y-12 Site Office Oak Ridge, Anderson County, Tennessee The proposed action is to characterize and disposition equipment that was...

  15. GT Solar Technologies formerly GT Equipment Technologies | Open...

    Open Energy Info (EERE)

    Technologies formerly GT Equipment Technologies Jump to: navigation, search Name: GT Solar Technologies (formerly GT Equipment Technologies) Place: Merrimack, New Hampshire...

  16. NREL: Energy Systems Integration Facility - Fixed Equipment and...

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

    Fixed Equipment and Experimental Resources The Energy Systems Integration Facility hosts an array of fixed equipment and experimental resources to support component and system...

  17. Tuori Solar Energy Equipment Mfg Company | Open Energy Information

    Open Energy Info (EERE)

    Tuori Solar Energy Equipment Mfg Company Jump to: navigation, search Name: Tuori Solar Energy Equipment Mfg Company Place: Baoding, Hebei Province, China Zip: 71000 Sector: Solar...

  18. How Do I Determine what Personal Protective Equipment (PPE) to...

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

    Determine what Personal Protective Equipment (PPE) to Wear? Print General The ALS has a standard Personal Protective Equipment (PPE) policy that covers all activities on the...

  19. China SC Exact Equipment Co LTD | Open Energy Information

    Open Energy Info (EERE)

    SC Exact Equipment Co LTD Jump to: navigation, search Name: China SC Exact Equipment Co., LTD Place: Shenzhen, Guangdong Province, China Zip: 518125 Sector: Solar Product:...

  20. China Ordnance Equipment Group Corporation COEGC | Open Energy...

    Open Energy Info (EERE)

    China Ordnance Equipment Group Corporation COEGC Jump to: navigation, search Name: China Ordnance Equipment Group Corporation (COEGC) Place: Beijing Municipality, China Sector:...

  1. Data Center Efficiency and IT Equipment Reliability at Wider...

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

    Center Efficiency and IT Equipment Reliability at Wider Operating Temperature and Humidity Ranges Data Center Efficiency and IT Equipment Reliability at Wider Operating Temperature ...

  2. Novel Energy Conversion Equipment for Low Temperature Geothermal...

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

    Novel Energy Conversion Equipment for Low Temperature Geothermal Resources Novel Energy Conversion Equipment for Low Temperature Geothermal Resources Project objective: Develop ...

  3. Varian Semiconductor Equipment Associates Inc VSEA | Open Energy...

    Open Energy Info (EERE)

    Varian Semiconductor Equipment Associates Inc VSEA Jump to: navigation, search Name: Varian Semiconductor Equipment Associates Inc (VSEA) Place: Gloucester, Massachusetts Zip: 1930...

  4. Community Wind Handbook/Purchase Equipment | Open Energy Information

    Open Energy Info (EERE)

    * Submit Permit Applications * Find an Installer * Purchase Equipment * Plan for Maintenance Purchase Equipment The purchase of a turbine for a small community wind project is...

  5. Beijing Zhongkexin Electronics Equipment Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Zhongkexin Electronics Equipment Co Ltd Jump to: navigation, search Name: Beijing Zhongkexin Electronics Equipment Co Ltd Place: Beijing Municipality, China Zip: 101111 Product: A...

  6. MSA Apparatus Construction for Chemical Equipment Ltd | Open...

    Open Energy Info (EERE)

    MSA Apparatus Construction for Chemical Equipment Ltd Jump to: navigation, search Name: MSA Apparatus Construction for Chemical Equipment Ltd Place: United Kingdom Sector: Hydro,...

  7. Modular Process Equipment for Low Cost Manufacturing of High...

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

    Process Equipment for Low Cost Manufacturing of High Capacity Prismatic Li-Ion Cell Alloy Anodes Modular Process Equipment for Low Cost Manufacturing of High Capacity Prismatic Li-...

  8. Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd | Open...

    Open Energy Info (EERE)

    Yeelong Wind Power Equipment Manufacturing Co Ltd Jump to: navigation, search Name: Hebei Yeelong Wind Power Equipment Manufacturing Co Ltd Place: Hebei Province, China Sector:...

  9. Shenyang Tianxiang Wind Equipments Manufacturing Co Ltd | Open...

    Open Energy Info (EERE)

    Tianxiang Wind Equipments Manufacturing Co Ltd Jump to: navigation, search Name: Shenyang Tianxiang Wind Equipments Manufacturing Co., Ltd Place: Shenyang, Liaoning Province, China...

  10. Ningxia Yinxing Energy PV Power Equipment Manufacturing Co Ltd...

    Open Energy Info (EERE)

    Yinxing Energy PV Power Equipment Manufacturing Co Ltd Jump to: navigation, search Name: Ningxia Yinxing Energy PV Power Equipment Manufacturing Co Ltd Place: Yinchuan, Ningxia...

  11. Nordex Yinchuan Wind Power Equipment Manufacturing Co Ltd | Open...

    Open Energy Info (EERE)

    Yinchuan Wind Power Equipment Manufacturing Co Ltd Jump to: navigation, search Name: Nordex (Yinchuan) Wind Power Equipment Manufacturing Co. Ltd Place: Yinchuan, Ningxia...

  12. Yatu Yangjiang Fengdian Equipment Manufacturing Co Ltd | Open...

    Open Energy Info (EERE)

    Yatu Yangjiang Fengdian Equipment Manufacturing Co Ltd Jump to: navigation, search Name: Yatu (Yangjiang) Fengdian Equipment Manufacturing Co Ltd Place: Yangjiang, Guangdong...

  13. Nordex Dongying Wind Power Equipment Manufacturing Co Ltd | Open...

    Open Energy Info (EERE)

    Dongying Wind Power Equipment Manufacturing Co Ltd Jump to: navigation, search Name: Nordex (Dongying) Wind Power Equipment Manufacturing Co. Ltd. Place: Dongying, Shandong...

  14. Best Management Practice #9: Single-Pass Cooling Equipment |...

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

    cooling include CAT scanners, degreasers, hydraulic equipment, condensers, air compressors, welding machines, vacuum pumps, ice machines, x-ray equipment, and air conditioners. ...

  15. Changzhou Jiangnan Electrical Power Equipment Group Co Ltd |...

    Open Energy Info (EERE)

    Jiangnan Electrical Power Equipment Group Co Ltd Jump to: navigation, search Name: Changzhou Jiangnan Electrical Power Equipment Group Co., Ltd Place: Changzhou, Jiangsu Province,...

  16. Focus Series: The Greater Cincinnati Energy Alliance (GCEA) Equipment...

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

    Focus Series CINCINNATI-EQUIPMENT LEASE PROGRAM Equipment Lease Program Breaks Down Barriers for Cincinnati Contractors The Greater Cincinnati Energy Alliance (GCEA), a Better ...

  17. Chinese Wind Energy Equipment Association CWEEA | Open Energy...

    Open Energy Info (EERE)

    Wind Energy Equipment Association CWEEA Jump to: navigation, search Name: Chinese Wind Energy Equipment Association (CWEEA) Place: Beijing, Beijing Municipality, China Zip: 100825...

  18. List of Food Service Equipment Incentives | Open Energy Information

    Open Energy Info (EERE)

    Refrigeration Equipment Food Service Equipment Yes Alabama Gas Corporation - Residential Natural Gas Rebate Program (Alabama) Utility Rebate Program Alabama Residential Furnaces...

  19. Updated Buildings Sector Appliance and Equipment Costs and Efficiency

    Gasoline and Diesel Fuel Update (EIA)

    characterizes most major residential equipment and commercial heating, cooling, and water heating equipment. Appendix A was used in developing Reference case projections, while...

  20. Heating and Cooling System Support Equipment Basics | Department...

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

    and Cooling System Support Equipment Basics Heating and Cooling System Support Equipment ... Thermostats and ducts provide opportunities for saving energy. Dehumidifying heat pipes ...

  1. Recovery Act Incentives for Wind Energy Equipment Manufacturing...

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

    Recovery Act Incentives for Wind Energy Equipment Manufacturing Recovery Act Incentives for Wind Energy Equipment Manufacturing Document that lists some of the major federal ...

  2. Electric power equipment - Paraguay. Foreign market survey report

    SciTech Connect (OSTI)

    Ceuppens, H.D.

    1982-03-01

    The market research was undertaken to study the present and potential US share of the market in Paraguay for electric power equipment; to examine growth trends in Paraguayan end-user industries over the next few years; to identify specific project categories that offer the most promising export potential for US companies; and to provide basic data which will assist US suppliers in determining current and potential sales and marketing opportunities. The trade promotional and marketing techniques which are likely to succeed in Paraguay were also reviewed.

  3. Conceptual design report, CEBAF basic experimental equipment

    SciTech Connect (OSTI)

    1990-04-13

    The Continuous Electron Beam Accelerator Facility (CEBAF) will be dedicated to basic research in Nuclear Physics using electrons and photons as projectiles. The accelerator configuration allows three nearly continuous beams to be delivered simultaneously in three experimental halls, which will be equipped with complementary sets of instruments: Hall A--two high resolution magnetic spectrometers; Hall B--a large acceptance magnetic spectrometer; Hall C--a high-momentum, moderate resolution, magnetic spectrometer and a variety of more dedicated instruments. This report contains a short description of the initial complement of experimental equipment to be installed in each of the three halls.

  4. Recovery Act: Training Program Development for Commercial Building Equipment Technicians

    SciTech Connect (OSTI)

    Leah Glameyer

    2012-07-12

    The overall goal of this project has been to develop curricula, certification requirements, and accreditation standards for training on energy efficient practices and technologies for commercial building technicians. These training products will advance industry expertise towards net-zero energy commercial building goals and will result in a substantial reduction in energy use. The ultimate objective is to develop a workforce that can bring existing commercial buildings up to their energy performance potential and ensure that new commercial buildings do not fall below their expected optimal level of performance. Commercial building equipment technicians participating in this training program will learn how to best operate commercial buildings to ensure they reach their expected energy performance level. The training is a combination of classroom, online and on-site lessons. The Texas Engineering Extension Service (TEEX) developed curricula using subject matter and adult learning experts to ensure the training meets certification requirements and accreditation standards for training these technicians. The training targets a specific climate zone to meets the needs, specialized expertise, and perspectives of the commercial building equipment technicians in that zone. The combination of efficient operations and advanced design will improve the internal built environment of a commercial building by increasing comfort and safety, while reducing energy use and environmental impact. Properly trained technicians will ensure equipment operates at design specifications. A second impact is a more highly trained workforce that is better equipped to obtain employment. Organizations that contributed to the development of the training program include TEEX and the Texas Engineering Experiment Station (TEES) (both members of The Texas A&M University System). TEES is also a member of the Building Commissioning Association. This report includes a description of the project accomplishments, including the course development phases, tasks associated with each phase, and detailed list of the course materials developed. A summary of each year's activities is also included.

  5. CRAD, Measuring and Testing Equipment Assessment Plan

    Broader source: Energy.gov [DOE]

    The objective of this assessment is to determine whether a program is in place which assures that Measuring and Test Equipment (M&TE) used in activities affecting quality and safety are properly controlled, calibrated, and adjusted at specified times to maintain accuracy within necessary limits.

  6. Appliance and Equipment Standards Program Logic Model

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

    Manufacturers produce products with a high level of compliance that meet minimum energy conservation standards, resulting in energy savings in the buildings sector The Appliance & Equipment Standards Program promulgates energy conservation standards and test procedures in a rulemaking process to reduce energy consumption across residential, commercial, and industrial buildings. External Influences: DOE budget, Energy prices, Real estate market, Market incentives, Legislation / Regulation

  7. DOE Hydrogen Storage Technical Performance Targets for Material Handling Equipment

    Broader source: Energy.gov [DOE]

    This table summarizes hydrogen storage technical performance targets for material handling equipment.

  8. OPEC: 10 years after the Arab oil boycott

    SciTech Connect (OSTI)

    Cooper, M.H.

    1983-09-23

    OPEC's dominance over world oil markets is waning 10 years after precipitating world-wide energy and economic crises. The 1979 revolution in Iran and the start of the Iranian-Iraqi war in 1980 introduced a second shock that caused oil importers to seek non-OPEC supplies and emphasize conservation. No breakup of the cartel is anticipated, however, despite internal disagreements over production and price levels. Forecasters see OPEC as the major price setter as an improved economy increases world demand for oil. Long-term forecasts are even more optimistic. 24 references, 2 figures, 2 tables. (DCK)

  9. Twenty years after '95: What climate change means for heat waves, cities

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

    and forecasting | Argonne National Laboratory Twenty years after '95: What climate change means for heat waves, cities and forecasting By Payal Marathe * October 1, 2015 Tweet EmailPrint The 1995 Chicago heat wave was a defining moment for the city. With four days of non-stop, sweltering heat and humidity, hospital emergency rooms were overwhelmed. There were thousands of heat-related illnesses and more than 700 deaths. Two decades later, public health and government officials are

  10. Alternative Fuels Data Center: Installing B20 Equipment

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

    Fuels & Vehicles » Biodiesel Printable Version Share this resource Send a link to Alternative Fuels Data Center: Installing B20 Equipment to someone by E-mail Share Alternative Fuels Data Center: Installing B20 Equipment on Facebook Tweet about Alternative Fuels Data Center: Installing B20 Equipment on Twitter Bookmark Alternative Fuels Data Center: Installing B20 Equipment on Google Bookmark Alternative Fuels Data Center: Installing B20 Equipment on Delicious Rank Alternative Fuels Data

  11. Workplace Charging Equipment and Installation Costs | Department of Energy

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

    Equipment and Installation Costs Workplace Charging Equipment and Installation Costs The costs for a workplace charging program include the costs for charging equipment, installation, maintenance, and supplying electricity. Charging equipment costs depend on the type of charging station you decide to install in your workplace. Level 1 ($300-$1,500) and Level 2 ($400-$6,500) charging stations are commonly installed at workplaces. Explore how charging station equipment features affect the total

  12. About the Appliance and Equipment Standards Program | Department of Energy

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

    Appliance & Equipment Standards » About the Appliance and Equipment Standards Program About the Appliance and Equipment Standards Program The Department of Energy (DOE), through the Buildings Technologies Office, sets minimum energy efficiency standards for approximately 60 categories of appliances and equipment used in homes, businesses, and other applications, as required by existing law. The appliances and equipment covered provide services that are used by consumers and businesses each

  13. Alternative Fuels Data Center: Onboard Idle Reduction Equipment for

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

    Heavy-Duty Trucks Onboard Idle Reduction Equipment for Heavy-Duty Trucks to someone by E-mail Share Alternative Fuels Data Center: Onboard Idle Reduction Equipment for Heavy-Duty Trucks on Facebook Tweet about Alternative Fuels Data Center: Onboard Idle Reduction Equipment for Heavy-Duty Trucks on Twitter Bookmark Alternative Fuels Data Center: Onboard Idle Reduction Equipment for Heavy-Duty Trucks on Google Bookmark Alternative Fuels Data Center: Onboard Idle Reduction Equipment for

  14. Early Markets: Fuel Cells for Material Handling Equipment | Department of

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

    Energy Material Handling Equipment Early Markets: Fuel Cells for Material Handling Equipment This fact sheet describes the use of hydrogen fuel cells to power material handling equipment (MHE) and includes cost and performance comparisons for fuel cell-powered and battery-powered MHE. PDF icon Early Markets: Fuel Cells for Material Handling Equipment More Documents & Publications An Evaluation of the Total Cost of Ownership of Fuel Cell-Powered Material Handling Equipment Market

  15. Best Management Practice #12: Laboratory and Medical Equipment | Department

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

    of Energy 12: Laboratory and Medical Equipment Best Management Practice #12: Laboratory and Medical Equipment Equipment used in hospitals and laboratories can use significant amounts of water, offering the opportunity for substantial water savings by making a few small changes to how and when the water is used by the equipment. Water-consuming equipment in laboratories and medical facilities include water purification systems, sterilization and disinfection systems photographic and x-ray

  16. Roel Neggers European Centre for Medium-range Weather Forecasts

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

    transition from shallow to deep convection using a dual mass flux boundary layer scheme Roel Neggers European Centre for Medium-range Weather Forecasts Introduction ! " #" $ % % & # % " " " ' % ' ( ) * + " % ( , - . / 0 / " 0 . * 0 . * . . " 0 References A short model description Sensitivity tests Results Tropospheric humidity # " humidity 1 % 2 % ' 3 " % + 1 % 2 % % 3 % Updraft entrainment ' + % " 3 % 4 # " + %' 5 6)( . % ' 1 % .7

  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. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

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

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

  19. Towards a Science of Tumor Forecast for Clinical Oncology

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

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

    2015-01-01

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

  20. 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.

  1. 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.

  2. The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant.

    SciTech Connect (OSTI)

    Martin Wilde, Principal Investigator

    2012-12-31

    ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.

  3. Y YEAR

    National Nuclear Security Administration (NNSA)

    2 40 -4.76% YEAR 2013 2014 Males 37 35 -5.41% Females 5 5 0% YEAR 2013 2014 SES 2 2 0% EJEK 5 4 -20.00% EN 05 5 7 40.00% EN 04 6 6 0% EN 03 1 1 0% NN...

  4. Y YEAR

    National Nuclear Security Administration (NNSA)

    79 67 -15.19% YEAR 2013 2014 Males 44 34 -22.73% Females 35 33 -5.71% YEAR 2013 2014 SES 6 4 -33.33% EJEK 1 1 0% EN 05 9 8 -11.11% EN 04 6 5 -16.67% NN...

  5. Accounting for fuel price risk: Using forward natural gas prices instead of gas price forecasts to compare renewable to natural gas-fired generation

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

    Against the backdrop of increasingly volatile natural gas prices, renewable energy resources, which by their nature are immune to natural gas fuel price risk, provide a real economic benefit. Unlike many contracts for natural gas-fired generation, renewable generation is typically sold under fixed-price contracts. Assuming that electricity consumers value long-term price stability, a utility or other retail electricity supplier that is looking to expand its resource portfolio (or a policymaker interested in evaluating different resource options) should therefore compare the cost of fixed-price renewable generation to the hedged or guaranteed cost of new natural gas-fired generation, rather than to projected costs based on uncertain gas price forecasts. To do otherwise would be to compare apples to oranges: by their nature, renewable resources carry no natural gas fuel price risk, and if the market values that attribute, then the most appropriate comparison is to the hedged cost of natural gas-fired generation. Nonetheless, utilities and others often compare the costs of renewable to gas-fired generation using as their fuel price input long-term gas price forecasts that are inherently uncertain, rather than long-term natural gas forward prices that can actually be locked in. This practice raises the critical question of how these two price streams compare. If they are similar, then one might conclude that forecast-based modeling and planning exercises are in fact approximating an apples-to-apples comparison, and no further consideration is necessary. If, however, natural gas forward prices systematically differ from price forecasts, then the use of such forecasts in planning and modeling exercises will yield results that are biased in favor of either renewable (if forwards < forecasts) or natural gas-fired generation (if forwards > forecasts). In this report we compare the cost of hedging natural gas price risk through traditional gas-based hedging instruments (e.g., futures, swaps, and fixed-price physical supply contracts) to contemporaneous forecasts of spot natural gas prices, with the purpose of identifying any systematic differences between the two. Although our data set is quite limited, we find that over the past three years, forward gas prices for durations of 2-10 years have been considerably higher than most natural gas spot price forecasts, including the reference case forecasts developed by the Energy Information Administration (EIA). This difference is striking, and implies that resource planning and modeling exercises based on these forecasts over the past three years have yielded results that are biased in favor of gas-fired generation (again, presuming that long-term stability is desirable). As discussed later, these findings have important ramifications for resource planners, energy modelers, and policy-makers.

  6. Chapter 10 - Property, Plant and Equipment

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

    7-18-2011 Chapter 10-1 CHAPTER 10 PROPERTY, PLANT, AND EQUIPMENT 1. INTRODUCTION. a. Background/Authorities. This chapter describes financial controls over the acquisition, use, and retirement of property and provides guidelines for distinguishing between charges to capital accounts and charges to expense accounts consistent with the Statement of Federal Financial Accounting Standards (SFFAS). b. Applicability. The applicability of this chapter is specified in Chapter 1, "Accounting

  7. Direct Liquid Cooling for Electronic Equipment

    SciTech Connect (OSTI)

    Coles, Henry; Greenberg, Steve

    2014-03-01

    This report documents a demonstration of an electronic--equipment cooling system in the engineering prototype development stage that can be applied in data centers. The technology provides cooling by bringing a water--based cooling fluid into direct contact with high--heat--generating electronic components. This direct cooling system improves overall data center energy efficiency in three ways: High--heat--generating electronic components are more efficiently cooled directly using water, capturing a large portion of the total electronic equipment heat generated. This captured heat reduces the load on the less--efficient air--based data center room cooling systems. The combination contributes to the overall savings. The power consumption of the electronic equipment internal fans is significantly reduced when equipped with this cooling system. The temperature of the cooling water supplied to the direct cooling system can be much higher than that commonly provided by facility chilled water loops, and therefore can be produced with lower cooling infrastructure energy consumption and possibly compressor-free cooling. Providing opportunities for heat reuse is an additional benefit of this technology. The cooling system can be controlled to produce high return water temperatures while providing adequate component cooling. The demonstration was conducted in a data center located at Lawrence Berkeley National Laboratory in Berkeley, California. Thirty--eight servers equipped with the liquid cooling system and instrumented for energy measurements were placed in a single rack. Two unmodified servers of the same configuration, located in an adjacent rack, were used to provide a baseline. The demonstration characterized the fraction of heat removed by the direct cooling technology, quantified the energy savings for a number of cooling infrastructure scenarios, and provided information that could be used to investigate heat reuse opportunities. Thermal measurement data were used with data center energy use modeling software to estimate overall site energy use. These estimates show that an overall data center energy savings of approximately 20 percent can be expected if a center is retrofitted as specified in the models used. Increasing the portion of heat captured by this technology is an area suggested for further development.

  8. Equipment concepts for dry intercask transfer of spent fuel

    SciTech Connect (OSTI)

    Schneider, K.J.

    1983-07-01

    This report documents the results of a study of preconceptual design and analysis of four intercask transfer concepts. The four concepts are: a large shielded cylindrical turntable that contains an integral fuel handling machine (turntable concept); a shielded fuel handling machine under which shipping and storage casks are moved horizontally (shuttle concept); a small hot cell containing equipment for transferring fuel between shipping and storage casks (that enter and leave the cell on carts) in a bifurcated trench (trench concept); and a large hot cell, shielded by an earthen berm, that houses equipment for handling fuel between casks that enter and leave the cell on a single cart (igloo concept). The casks considered in this study are most of the transport casks currently operable in the USA, and the storage casks designated REA-2023 and GNS Castor-V. Exclusive of basic services assumed to be provided at the host site, the design and capital costs are estimated to range from $9 to $13 million. The portion of capital costs for portable equipment (for potential later use at another site) was estimated to range from 70% to 98%, depending on the concept. Increasing portability from a range of 70 to 90% to 98% adds $2 to 4 million to the capital costs. Operating costs are estimated at about $2 million/year for all concepts. Implementation times range from about 18 months for the more conventional systems to 40 months for the more unique systems. Times and costs for relocation to another site are 10 to 14 months and about $1 million, plus shipping costs and costs of new construction at the new site. All concepts have estimated capacities for fuel transfer at least equal to the criterion set for this study. Only the hot cell concepts have capability for recanning or repair of canisters. Some development is believed to be required for the turntable and shuttle concepts, but none for the other two concepts.

  9. After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment

    SciTech Connect (OSTI)

    Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

    2004-01-22

    This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

  10. 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.

  11. Power levels in office equipment: Measurements of new monitors and personal computers

    SciTech Connect (OSTI)

    Roberson, Judy A.; Brown, Richard E.; Nordman, Bruce; Webber, Carrie A.; Homan, Gregory H.; Mahajan, Akshay; McWhinney, Marla; Koomey, Jonathan G.

    2002-05-14

    Electronic office equipment has proliferated rapidly over the last twenty years and is projected to continue growing in the future. Efforts to reduce the growth in office equipment energy use have focused on power management to reduce power consumption of electronic devices when not being used for their primary purpose. The EPA ENERGY STAR[registered trademark] program has been instrumental in gaining widespread support for power management in office equipment, and accurate information about the energy used by office equipment in all power levels is important to improving program design and evaluation. This paper presents the results of a field study conducted during 2001 to measure the power levels of new monitors and personal computers. We measured off, on, and low-power levels in about 60 units manufactured since July 2000. The paper summarizes power data collected, explores differences within the sample (e.g., between CRT and LCD monitors), and discusses some issues that arise in m etering office equipment. We also present conclusions to help improve the success of future power management programs.Our findings include a trend among monitor manufacturers to provide a single very low low-power level, and the need to standardize methods for measuring monitor on power, to more accurately estimate the annual energy consumption of office equipment, as well as actual and potential energy savings from power management.

  12. Regulatory issues associated with closure of the Hanford AX Tank Farm ancillary equipment

    SciTech Connect (OSTI)

    Becker, D.L.

    1998-09-02

    Liquid mixed, high-level radioactive waste has been stored in underground single-shell tanks at the US Department of Energy`s (DOE`s) Hanford Site. After retrieval of the waste from the single-shell tanks, the DOE will proceed with closure of the tank farm. The 241-AX Tank Farm includes four one-million gallon single-shell tanks in addition to sluice lines, transfer lines, ventilation headers, risers, pits, cribs, catch tanks, buildings, well and associated buried piping. This equipment is classified as ancillary equipment. This document addresses the requirements for regulatory close of the ancillary equipment in the Hanford Site 241-AX Tank Farm. The options identified for physical closure of the ancillary equipment include disposal in place, disposal in place after treatment, excavation and disposal on site in an empty single-shell tank, and excavation and disposal outside the AX Tank Farm. The document addresses the background of the Hanford Site and ancillary equipment in the AX Tank Farm, regulations for decontamination and decommissioning of radioactively contaminated equipment, requirements for the cleanup and disposal of radioactive wastes, cleanup and disposal requirements governing hazardous and mixed waste, and regulatory requirements and issues associated with each of the four physical closure options. This investigation was conducted by the Sandia National Laboratories, Albuquerque, New Mexico, during Fiscal Year 1998 for the Hanford Tanks Initiative Project.

  13. LDRD report: Smoke effects on electrical equipment

    SciTech Connect (OSTI)

    TANAKA,TINA J.; BAYNES JR.,EDWARD E.; NOWLEN,STEVEN P.; BROCKMANN,JOHN E.; GRITZO,LOUIS A.; SHADDIX,CHRISTOPHER R.

    2000-03-01

    Smoke is known to cause electrical equipment failure, but the likelihood of immediate failure during a fire is unknown. Traditional failure assessment techniques measure the density of ionic contaminants deposited on surfaces to determine the need for cleaning or replacement of electronic equipment exposed to smoke. Such techniques focus on long-term effects, such as corrosion, but do not address the immediate effects of the fire. This document reports the results of tests on the immediate effects of smoke on electronic equipment. Various circuits and components were exposed to smoke from different fields in a static smoke exposure chamber and were monitored throughout the exposure. Electrically, the loss of insulation resistance was the most important change caused by smoke. For direct current circuits, soot collected on high-voltage surfaces sometimes formed semi-conductive soot bridges that shorted the circuit. For high voltage alternating current circuits, the smoke also tended to increase the likelihood of arcing, but did not accumulate on the surfaces. Static random access memory chips failed for high levels of smoke, but hard disk drives did not. High humidity increased the conductive properties of the smoke. The conductivity does not increase linearly with smoke density as first proposed; however, it does increase with quantity. The data can be used to give a rough estimate of the amount of smoke that will cause failures in CMOS memory chips, dc and ac circuits. Comparisons of this data to other fire tests can be made through the optical and mass density measurements of the smoke.

  14. Laboratory Equipment Donation Program - LEDP Widget Code

    Office of Scientific and Technical Information (OSTI)

    Widget Inclusion Code Copy the code below and paste it to your website or blog: <script type="text/javascript" src="http://cdn.widgetserver.com/syndication/subscriber/InsertWidget.js"></script><script type="text/javascript">if (WIDGETBOX) WIDGETBOX.renderWidget('6f283a3d-1392-4025-a8bf-566030ca0281');</script><noscript>Get the <a href="http://www.widgetbox.com/widget/erle">Laboratory Equipment Donation Program</a>

  15. LANSCE | Lujan Center | Instruments | ASTERIX | Equipment

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

    Equipment Surfaces and Interfaces Sample Environment: Magnet and cryostat system offering 0-1 T fields and 4-300 K temperatures. This system consists of an electromagnet or Helmholtz coil that produce fields up to 1T and 3 mT, respectively. A Displex cryostat (4-300 K) can be accommodated by either magnet. For samples with a dimension greater than 1 cm the maximum field is 0.6 T. Cryomagnet: The maximum field is 11 T for polarized or unpolarized beam experiments. We offer two 1.7 - 300 K sample

  16. Y YEAR

    National Nuclear Security Administration (NNSA)

    7 35 -5.41% ↓ YEAR 2013 2014 Males 27 25 -7.41% ↓ Females 10 10 0% / YEAR 2013 2014 SES 1 1 0% / EN 05 1 1 0% / EN 04 11 10 -9.09% ↓ NN (Engineering) 8 8 0% / NQ (Prof/Tech/Admin) 14 15 7.14% ↑ NU (Tech/Admin Support) 2 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 1 1 0% / African American Female (AA,F) 3 3 0% / Asian American Pacific Islander Male (AAPI,M) 0 0 0% /

  17. Y YEAR

    National Nuclear Security Administration (NNSA)

    5 79 -7.06% ↓ YEAR 2013 2014 Males 59 57 -3.39% ↓ Females 26 22 -15.38% ↓ YEAR 2013 2014 SES 1 0 -100% ↓ EJ/EK 4 3 -25.00% ↓ EN 05 3 2 -33.33% ↓ EN 04 22 22 0% / EN 03 8 8 0% / NN (Engineering) 16 15 -6.25% ↓ NQ (Prof/Tech/Admin) 28 26 -7.14% ↓ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 5 4 -20.00% ↓ African American Female (AA,F) 3 2

  18. Y YEAR

    National Nuclear Security Administration (NNSA)

    91 81 -10.99% ↓ YEAR 2013 2014 Males 67 56 -16.42% ↓ Females 24 25 4.17% ↑ YEAR 2013 2014 SES 1 2 100% ↑ EJ/EK 9 8 -11.11% ↓ EN 04 25 22 -12.00% ↓ NN (Engineering) 24 20 -16.67% ↓ NQ (Prof/Tech/Admin) 29 26 -10.34% ↓ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 3 3 0% / African American Male (AA,M) 0 0 0% / African American Female (AA,F) 0 0 0% / Asian American Pacific Islander

  19. Y YEAR

    National Nuclear Security Administration (NNSA)

    21 -4.55% ↓ YEAR 2013 2014 Males 10 8 -20.00% ↓ Females 12 13 8.33% ↑ YEAR 2013 2014 SES 10 7 -30.00% ↓ EX 0 2 100% ↑ EJ/EK 1 1 0% / EN 05 0 1 100% ↑ EN 04 0 1 100% ↑ NQ (Prof/Tech/Admin) 9 8 -11.11% ↓ NU (Tech/Admin Support) 1 1 0% / ED 00 1 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 2 1 -50.00% ↓ African American Male (AA,M) 1 1 0% / African American Female (AA,F) 5 4 -20.00% ↓ Asian

  20. Y YEAR

    National Nuclear Security Administration (NNSA)

    41 155 9.93% ↑ YEAR 2013 2014 Males 92 106 15.22% ↑ Females 49 49 0% / YEAR 2013 2014 SES 8 8 0% / EX 1 1 0% / EJ/EK 4 4 0% / EN 05 11 10 -9.09% ↓ EN 04 11 14 27.27% ↑ EN 03 2 5 150% ↑ NN (Engineering) 60 63 5.00% ↑ NQ (Prof/Tech/Admin) 44 50 13.64% ↑ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 7 10 42.86% ↑ African American Female (AA,F) 13 11 -15.38% ↓ Asian American

  1. Y YEAR

    National Nuclear Security Administration (NNSA)

    563 560 -0.53% ↓ YEAR 2013 2014 Males 518 514 -0.77% ↓ Females 45 46 2.22% ↑ YEAR 2013 2014 SES 2 2 0% / EJ/EK 2 2 0% / EN 04 1 1 0% / NN (Engineering) 11 11 0% / NQ (Prof/Tech/Admin) 218 221 1.38% ↑ NU (Tech/Admin Support) 1 2 100% ↑ NV (Nuc Mat Courier) 328 321 -2.13% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 15 15 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 19 18 -5.26% ↓ African American Female (AA,F) 1 1 0% /

  2. Y YEAR

    National Nuclear Security Administration (NNSA)

    97 180 -8.63% ↓ YEAR 2013 2014 Males 105 89 -15.24% ↓ Females 92 91 -1.09% ↓ YEAR 2013 2014 SES 14 13 -7.14% ↓ EX 1 1 0% / EJ/EK 3 3 0% / EN 05 1 1 0% / EN 04 4 2 -50.00% ↓ EN 03 1 1 0% / EN 00 0 3 100% ↑ NN (Engineering) 35 27 -22.86% ↓ NQ (Prof/Tech/Admin) 135 126 -6.67% ↓ NU (Tech/Admin Support) 2 2 0% / GS 15 0 1 100% ↑ GS 13 1 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 1 -50.00% ↓ American Indian Alaskan Native Female (AIAN,F) 0 0 0% /

  3. Y YEAR

    National Nuclear Security Administration (NNSA)

    *Total number of Employees 122 112 -8.20% ↓ YEAR 2013 2014 Males 90 84 -6.67% ↓ Females 32 28 -12.50% ↓ YEAR 2013 2014 SES 26 24 -7.69% ↓ EJ/EK 3 3 0% / EN 05 8 9 12.50% ↑ NN (Engineering) 48 47 -2.08% ↓ NQ (Prof/Tech/Admin) 30 26 -13.33% ↓ NU (Tech/Admin Support) 7 3 -57.14% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 3 3 0% / African American Female (AA,F) 7 6 -14.29%

  4. Y YEAR

    National Nuclear Security Administration (NNSA)

    4 79 -5.95% ↓ YEAR 2013 2014 Males 59 55 -6.78% ↓ Females 25 24 -4.00% ↓ YEAR 2013 2014 SES 3 3 0% / EJ/EK 4 4 0% / EN 04 2 1 -50.00% ↓ NN (Engineering) 20 20 0% / NQ (Prof/Tech/Admin) 55 51 -7.27% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 10 10 0% / African American Female (AA,F) 9 8 -11.11% ↓ Asian American Pacific Islander Male (AAPI,M) 2 2 0% / Asian American Pacific

  5. Y YEAR

    National Nuclear Security Administration (NNSA)

    8 87 -1.14% ↓ YEAR 2013 2014 Males 46 46 0% / Females 42 41 -2.38% ↓ YEAR 2013 2014 SES 1 0 -100% ↓ EJ/EK 4 2 -50.00% ↓ NN (Engineering) 12 12 0% / NQ (Prof/Tech/Admin) 68 70 2.94% ↑ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 5 5 0% / African American Female (AA,F) 5 6 20.00% ↑ Asian American Pacific Islander Male (AAPI,M) 0 0 0% / Asian

  6. Y YEAR

    National Nuclear Security Administration (NNSA)

    1 14 27.27% ↑ YEAR 2013 2014 Males 9 12 33.33% ↑ Females 2 2 0% / YEAR 2013 2014 SES 2 2 0% / EJ/EK 1 1 0% / EN 04 0 1 100% ↑ EN 00 0 1 100% ↑ NN (Engineering) 5 5 0% / NQ (Prof/Tech/Admin) 3 4 33.33% ↑ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 0 0 0% / African American Female (AA,F) 0 0 0% / Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American Pacific

  7. Y YEAR

    National Nuclear Security Administration (NNSA)

    79 164 -8.38% ↓ YEAR 2013 2014 Males 100 92 -8.00% ↓ Females 79 72 -8.86% ↓ YEAR 2013 2014 SES 8 8 0% / EJ/EK 4 3 -25.00% ↓ EN 04 11 11 0% / EN 03 1 1 0% / EN 00 0 2 100% ↑ NN (Engineering) 39 32 -17.95% ↓ NQ (Prof/Tech/Admin) 111 104 -6.31% ↓ NU (Tech/Admin Support) 5 3 -40.00% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 2 100% ↑ American Indian Alaskan Native Female (AIAN,F) 2 1 -50.00% ↓ African American Male (AA,M) 4 3 -25.00% ↓ African American

  8. Y YEAR

    National Nuclear Security Administration (NNSA)

    40 36 -10.00% ↓ YEAR 2013 2014 Males 18 18 0% / Females 22 18 -18.18% ↓ YEAR 2013 2014 SES 3 2 -33.33% ↓ EJ/EK 1 1 0% / EN 03 1 1 0% / NN (Engineering) 3 3 0% / NQ (Prof/Tech/Admin) 30 27 -10.00% ↓ NU (Tech/Admin Support) 2 2 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 1 1 0% / African American Female (AA,F) 1 1 0% / Asian American Pacific Islander Male (AAPI,M) 0 0 0% /

  9. Y YEAR

    National Nuclear Security Administration (NNSA)

    4 30 -11.76% ↓ YEAR 2013 2014 Males 16 14 -12.50% ↓ Females 18 16 -11.11% ↓ YEAR 2013 2014 SES 1 1 0% / EJ/EK 3 1 -66.67% ↓ NQ (Prof/Tech/Admin) 29 27 -6.90% ↓ NU (Tech/Admin Support) 1 1 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 3 3 0% / African American Female (AA,F) 7 6 -14.29% ↓ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American Pacific Islander

  10. Y YEAR

    National Nuclear Security Administration (NNSA)

    9 209 -8.73% ↓ YEAR 2013 2014 Males 76 76 0% / Females 153 133 -13.07% ↓ YEAR 2013 2014 SES 9 6 -33.33% ↓ EJ/EK 1 1 0% / NQ (Prof/Tech/Admin) 208 194 -6.73% ↓ NU (Tech/Admin Support) 11 8 -27.27% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 3 2 -33.33% ↓ African American Male (AA,M) 10 10 0% / African American Female (AA,F) 39 36 -7.69% ↓ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American

  11. Y YEAR

    National Nuclear Security Administration (NNSA)

    7 80 -8.05% ↓ YEAR 2013 2014 Males 62 57 -8.06% ↓ Females 25 23 -8.00% ↓ YEAR 2013 2014 SES 1 1 0% / EJ/EK 3 3 0% / EN 05 1 1 0% / EN 04 27 24 -11.11% ↓ EN 03 1 0 -100% ↓ NN (Engineering) 26 25 -3.85% ↓ NQ (Prof/Tech/Admin) 26 24 -7.69% ↓ NU (Tech/Admin Support) 2 2 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 3 2 -33.33% ↓ African American Female (AA,F) 3 3 0% / Asian

  12. Y YEAR

    National Nuclear Security Administration (NNSA)

    8 27 -3.57% ↓ YEAR 2013 2014 Males 18 17 -5.56% ↓ Females 10 10 0% / YEAR 2013 2014 SES 1 1 0% / EN 05 1 1 0% / EN 04 4 3 -25.00% ↓ NN (Engineering) 12 12 0% / NQ (Prof/Tech/Admin) 9 9 0% / NU (Tech/Admin Support) 1 1 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 4 4 0% / African American Female (AA,F) 3 4 33.33% ↑ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian

  13. 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.

  14. Best Management Practice #12: Laboratory and Medical Equipment

    Broader source: Energy.gov [DOE]

    Equipment used in hospitals and laboratories can use significant amounts of water, offering the opportunity for substantial water savings by making a few small changes to how and when the water is used by the equipment.

  15. Equipment acquisition plans for the SSCL magnet excitation power system

    SciTech Connect (OSTI)

    Winje, R.

    1993-05-01

    This report gives a brief description of the major electrical technical equipment used in the Superconducting Super Collider accelerators systems and the present laboratory plans for the acquisition of the equipment.

  16. Anne Arundel County- Solar and Geothermal Equipment Property Tax Credits

    Broader source: Energy.gov [DOE]

    Anne Arundel County offers a one-time credit from county property taxes on residential dwellings that use solar and geothermal energy equipment for heating and cooling, and solar energy equipment...

  17. Appendix D: Facility Process Data and Appendix E: Equipment Calibratio...

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

    D: Facility Process Data and Appendix E: Equipment Calibration Data Sheets Appendix D: Facility Process Data and Appendix E: Equipment Calibration Data Sheets Docket No. EO-05-01: ...

  18. Difficulty of Measuring Emissions from Heavy-Duty Engines Equipped...

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

    Difficulty of Measuring Emissions from Heavy-Duty Engines Equipped with SCR and DPF Difficulty of Measuring Emissions from Heavy-Duty Engines Equipped with SCR and DPF In reference ...

  19. Sales and Use Tax Exemption for Electrical Generating Equipment

    Broader source: Energy.gov [DOE]

    Indiana does not have a specific sales and use tax exemption for equipment used in the production of renewable electricity. Therefore, such equipment is presumed to be subject to sales and use tax....

  20. Balance-of-System Equipment Required for Renewable Energy Systems...

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

    Balance-of-System Equipment Required for Renewable Energy Systems Balance-of-System Equipment Required for Renewable Energy Systems July 2, 2012 - 8:21pm Addthis Both...

  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. 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.

  3. 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)

  4. Internal corrosion monitoring of subsea oil and gas production equipment

    SciTech Connect (OSTI)

    Joosten, M.W.; Fischer, K.P.; Lunden, K.C.

    1995-04-01

    Nonintrusive techniques will dominate subsea corrosion monitoring compared with the intrusive methods because such methods do not interfere with pipeline operations. The long-term reliability of the nonintrusive techniques in general is considered to be much better than that of intrusive-type probes. The nonintrusive techniques based on radioactive tracers (TLA, NA) and FSM and UT are expected to be the main types of subsea corrosion monitoring equipment in the coming years. Available techniques that could be developed specifically for subsea applications are: electrochemical noise, corrosion potentials (using new types of reference electrodes), multiprobe system for electrochemical measurements, and video camera inspection (mini-video camera with light source). The following innovative techniques have potential but need further development: ion selective electrodes, radioactive tracers, and Raman spectroscopy.

  5. Topsides equipment, operating flexibility key floating LNG design

    SciTech Connect (OSTI)

    Yost, K.; Lopez, R.; Mok, J.

    1998-03-09

    Use of a large-scale floating liquefied natural gas (LNG) plant is an economical alternative to an onshore plant for producing from an offshore field. Mobil Technology Co., Dallas, has advanced a design for such a plant that is technically feasible, economical, safe, and reliable. Presented were descriptions of the general design basis, hull modeling and testing, topsides and storage layouts, and LNG offloading. But such a design also presents challenges for designing topsides equipment in an offshore environment and for including flexibility and safety. These are covered in this second article. Mobil`s floating LNG plant design calls for a square concrete barge with a moon-pool in the center. It is designed to produce 6 million tons/year of LNG with up to 55,000 b/d of condensate from 1 bcfd of raw feed gas.

  6. Field power measurements of imaging equipment

    SciTech Connect (OSTI)

    McWhinney, Marla; Homan, Gregory; Brown, Richard; Roberson, Judy; Nordman, Bruce; Busch, John

    2004-05-14

    According to the U.S. Department of Energy, electricity use by non-PC commercial office equipment is growing at an annual rate of nearly 5 percent (AEO 2003). To help address this growth in consumption, U.S. EPA periodically updates its ENERGY STAR specifications as products and markets change. This report presents background research conducted to help EPA update the ENERGY STAR specification for imaging equipment, which covers printers, fax machines, copiers, scanners, and multifunction devices (MFDs). We first estimated the market impact of the current ENERGY STAR imaging specification, finding over 90 percent of the current market complies with the specification. We then analyzed a sample of typical new imaging products, including 11 faxes, 57 printers and 19 copiers/MFD. For these devices we metered power levels in the most common modes: active/ready/sleep/off, and recorded features that would most likely affect energy consumption. Our metering indicates that for many products and speed bins, current models consume substantially less power than the current specification. We also found that for all product categories, power consumption varied most considerably across technology (i.e. inkjet vs. laser). Although inkjet printers consumed less energy than laser printers in active, ready and sleep-mode, they consumed more power on average while off, mostly due to the use of external power supplies. Based on these findings, we developed strategies for the ENERGY STAR program to achieve additional energy reductions. Finally, we present an assessment of manufacturer's ENERGY STAR labeling practices.

  7. Computers, Electronics and Electrical Equipment (2010 MECS) | Department of

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

    Energy Computers, Electronics and Electrical Equipment (2010 MECS) Computers, Electronics and Electrical Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Computers, Electronics and Electrical Equipment Sector (NAICS 334, 335) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Computers, Electronics and Electrical Equipment More Documents

  8. Consider Steam Turbine Drives for Rotating Equipment | Department of Energy

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

    Steam Turbine Drives for Rotating Equipment Consider Steam Turbine Drives for Rotating Equipment This tip sheet outlines the benefits of steam turbine drives for rotating equipment as part of optimized steam systems. STEAM TIP SHEET #21 PDF icon Consider Steam Turbine Drives for Rotating Equipment (January 2012) More Documents & Publications Improving Steam System Performance: A Sourcebook for Industry, Second Edition Adjustable Speed Drive Part-Load Efficiency Benchmark the Fuel Cost of

  9. Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven

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

    Efficiency | Department of Energy Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency This process heating tip sheet recommends using lower flammable limit monitoring equipment to improve oven efficiency. PROCESS HEATING TIP SHEET #11 PDF icon Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency (October 2007) More Documents & Publications Check Burner

  10. USSR report: Engineering and equipment, [May 15, 1985

    SciTech Connect (OSTI)

    1985-05-15

    This USSR Report contains articles on engineering and equipment. The main topics are marine and shipbuilding and nuclear energy.

  11. Appliance and Equipment Standards Fact Sheet | Department of Energy

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

    Appliance and Equipment Standards Fact Sheet Appliance and Equipment Standards Fact Sheet Appliance and equipment efficiency standards have served as one of the nation's most effective policies for improving energy efficiency and saving consumers energy and money. Today, the U.S. Department of Energy's (DOE) Appliance and Equipment Standards Program covers more than 60 products, representing about 90% of home energy use, 60% of commercial building energy use, and 30% of industrial energy use.

  12. Heating Equipment Checklist for Winter Comfort and Efficiency | Department

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

    of Energy Heating Equipment Checklist for Winter Comfort and Efficiency Heating Equipment Checklist for Winter Comfort and Efficiency December 19, 2014 - 10:59am Addthis Using our heating equipment checklist can help you properly maintain your heating system this winter! | Photo courtesy of iStockphoto.com/lionvision Using our heating equipment checklist can help you properly maintain your heating system this winter! | Photo courtesy of iStockphoto.com/lionvision Paige Terlip Paige Terlip

  13. Appendix D: Facility Process Data and Appendix E: Equipment Calibration

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

    Data Sheets | Department of Energy D: Facility Process Data and Appendix E: Equipment Calibration Data Sheets Appendix D: Facility Process Data and Appendix E: Equipment Calibration Data Sheets Docket No. EO-05-01: Appendix D: Facility Process Data and Appendix E: Equipment Calibration Data Sheets from Final Report: Particulate Emissions Testing, Unit 1, Potomac River Generating Station, Alexandria, Virginia PDF icon Appendix D: Facility Process Data and Appendix E: Equipment Calibration

  14. WPN 13-7: Vehicle and Equipment Purchases

    Broader source: Energy.gov [DOE]

    To provide Grantee with guidance on purchasing vehicles and equipment for use in the Weatherization Assistance Program (WAP).

  15. Paducah Site Modernizes Equipment to Treat Off-Site Groundwater

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

    Contamination | Department of Energy Site Modernizes Equipment to Treat Off-Site Groundwater Contamination Paducah Site Modernizes Equipment to Treat Off-Site Groundwater Contamination February 25, 2016 - 12:15pm Addthis New groundwater contamination treatment equipment sits outside the C-612 Northwest Pump-and-Treat facility. New groundwater contamination treatment equipment sits outside the C-612 Northwest Pump-and-Treat facility. A computer-modeled illustration shows the off-site movement

  16. Hydrogen Equipment Certification Guide Webinar | Department of Energy

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

    Equipment Certification Guide Webinar Hydrogen Equipment Certification Guide Webinar Access the recording and download the presentation slides from the Fuel Cell Technologies Office webinar "Hydrogen Equipment Certification Guide" held on December 10, 2015. PDF icon Hydrogen Equipment Certification Guide Webinar Slides More Documents & Publications H2 Refuel H-Prize Safety Guidance Webinar H2 Refuel H-Prize Safety Guidance Webinar National Hydrogen Safety Training Resource for

  17. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    2008-01-01

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  18. DOE - Office of Legacy Management -- Denver Equipment Co - CO 0-04

    Office of Legacy Management (LM)

    Denver Equipment Co - CO 0-04 FUSRAP Considered Sites Site: DENVER EQUIPMENT CO (CO.0-04 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Denver , Colorado CO.0-04-1 Evaluation Year: 1987 CO.0-04-2 Site Operations: Conducted lab experiments and studies on carnotite ore treatment for extraction of uranium. CO.0-04-2 Site Disposition: Eliminated - No Authority - Engaged in commercial processes CO.0-04-1 CO.0-04-2 Radioactive Materials

  19. Year Modules

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

    Annual photovoltaic module shipments, 2003-2013 (peak kilowatts) Year Modules 2003 80,062 2004 143,274 2005 204,996 2006 320,208 2007 494,148 2008 920,693 2009 1,188,879 2010 2,644,498 2011 3,772,075 2012 4,655,005 2013 4,984,881 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Note: Includes both U.S. Shipments and Exports.

  20. Year Modules

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

    dollars per peak watt) Year Modules 2003 $3.17 2004 $2.99 2005 $3.19 2006 $3.50 2007 $3.37 2008 $3.49 2009 $2.79 2010 $1.96 2011 $1.59 2012 $1.15 2013 $0.75 Table 4. Average value of photovoltaic modules, 2003-2013 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Note: Dollars are not adjusted for inflation.

  1. Emergency sacrificial sealing method in filters, equipment, or systems

    DOE Patents [OSTI]

    Brown, Erik P

    2014-09-30

    A system seals a filter or equipment component to a base and will continue to seal the filter or equipment component to the base in the event of hot air or fire. The system includes a first sealing material between the filter or equipment component and the base; and a second sealing material between the filter or equipment component and the base and proximate the first sealing material. The first sealing material and the second seal material are positioned relative to each other and relative to the filter or equipment component and the base to seal the filter or equipment component to the base and upon the event of fire the second sealing material will be activated and expand to continue to seal the filter or equipment component to the base in the event of hot air or fire.

  2. 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.

  3. 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

  4. Adaptation of the control equipment to permit 3-terminal operation of the HVDC link between Sardinia, Corsica and mainland Italy

    SciTech Connect (OSTI)

    Mazzoldi, F.; Taisne, J.P.; Martin, C.J.B.; Rowe, B.A.

    1989-04-01

    After more than 20 years service as a conventional 2-terminal HVdc link, the Sardinia-Mainland Italy hvdc link (200MW, 200kV) is now operating as a three-terminal system. The original control equipment has been modified to allow the introduction of a tapping station on the line for 3-terminal operation. The adaptations to the control equipment, including the means to ensure that the convertors are operated within their capabilities, are explained.

  5. Clean Cities Guide to Alternative Fuel Commercial Lawn Equipment (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    Guide explains the different types of alternative fuel commercial mowers and lists the makes and models of the ones available on the market. Turf grass is a fixture of the American landscape and the American economy. It is the nation's largest irrigated crop, covering more than 40 million acres. Legions of lawnmowers care for this expanse during the growing season-up to year-round in the warmest climates. The annual economic impact of the U.S. turf grass industry has been estimated at more than $62 billion. Lawn mowing also contributes to the nation's petroleum consumption and pollutant emissions. Mowers consume 1.2 billion gallons of gasoline annually, about 1% of U.S. motor gasoline consumption. Commercial mowing accounts for about 35% of this total and is the highest-intensity use. Large property owners and mowing companies cut lawns, sports fields, golf courses, parks, roadsides, and other grassy areas for 7 hours per day and consume 900 to 2,000 gallons of fuel annually depending on climate and length of the growing season. In addition to gasoline, commercial mowing consumes more than 100 million gallons of diesel annually. Alternative fuel mowers are one way to reduce the energy and environmental impacts of commercial lawn mowing. They can reduce petroleum use and emissions compared with gasoline- and diesel-fueled mowers. They may also save on fuel and maintenance costs, extend mower life, reduce fuel spillage and fuel theft, and promote a 'green' image. And on ozone alert days, alternative fuel mowers may not be subject to the operational restrictions that gasoline mowers must abide by. To help inform the commercial mowing industry about product options and potential benefits, Clean Cities produced this guide to alternative fuel commercial lawn equipment. Although the guide's focus is on original equipment manufacturer (OEM) mowers, some mowers can be converted to run on alternative fuels. For more information about propane conversions. This guide may be particularly helpful for organizations that are already using alternative fuels in their vehicles and have an alternative fuel supply or electric charging in place (e.g., golf cart charging stations at most golf courses). On the flip side, experiencing the benefits of using alternative fuels in mowing equipment may encourage organizations to try them in on-road vehicles as well. Whatever the case, alternative fuel commercial lawnmowers are a powerful and cost-effective way to reduce U.S. petroleum dependence and help protect the environment.

  6. 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.

  7. Energy Smart Industrial: five years of enormous savings

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

    2.5 million kWh a year. JD Hisey, the plant's continuous improvement manager, says Energy Smart Industrial did more than just cut Fitesa's energy costs. "The new equipment reduced...

  8. 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

  9. Clark Public Utilities- Solar Energy Equipment Loan

    Broader source: Energy.gov [DOE]

    Solar water heater loans, solar pool heater loans and solar PV loans under $10,000 have repayment terms of up to 5 years, but a minimum monthly payment of $25 is required. Solar PV loans over $10...

  10. Month Day Year

    Office of Environmental Management (EM)

    including the educational backgrounds of the personnel and the equipment used and different types of testing performed; 2) information about how UL's electric motor testing...

  11. Alternative Fuel and Advanced Technology Commercial Lawn Equipment (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-10-01

    The U.S. Department of Energy's Clean Cities program produced this guide to help inform the commercial mowing industry about product options and potential benefits. This guide provides information about equipment powered by propane, ethanol, compressed natural gas, biodiesel, and electricity, as well as advanced engine technology. In addition to providing an overview for organizations considering alternative fuel lawn equipment, this guide may also be helpful for organizations that want to consider using additional alternative fueled equipment.

  12. Hanford Site Evaluation of Electrical Equipment for Beryllium Procedure

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

    2-005 Revision 0 Hanford Site Evaluation of Electrical Equipment for Beryllium Procedure Prepared for the U.S. Department of Energy Assistant Secretary for Environmental Management Approved for Public Release; Further Dissemination Unlimited DOE-0342-005, Rev. 0 Hanford Site Evaluation of Electrical Equipment for Beryllium Procedure Published Date: 09-19-2013 Effective Date: 05-14-2014 Signature Page 1 of 1 DOE-0342-005, Rev. 0 Hanford Site Evaluation of Electrical Equipment for Beryllium

  13. Healthcare Energy: Spotlight on Medical Equipment | Department of Energy

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

    Medical Equipment Healthcare Energy: Spotlight on Medical Equipment The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. Additional plug load data from medical office buildings were provided by Mazzetti, Inc. See below for a few highlights from monitoring large medical imaging equipment and medical office building plug loads. Graphic showing the average weekday energy use of a CT machine. Graph showing average weekday energy

  14. Webinar: Analysis Using Fuel Cell Material Handling Equipment for Shaving

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

    Peak Building Energy | Department of Energy Analysis Using Fuel Cell Material Handling Equipment for Shaving Peak Building Energy Webinar: Analysis Using Fuel Cell Material Handling Equipment for Shaving Peak Building Energy Access the recording and download the presentation slides from the Fuel Cell Technologies Office webinar "Analysis Using Fuel Cell Material Handling Equipment (MHE) for Shaving Peak Building Energy" held on August 11, 2015. PDF icon Analysis Using Fuel Cell MHE

  15. Microgrid Equipment Selection and Control | Department of Energy

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

    Microgrid Equipment Selection and Control Microgrid Equipment Selection and Control Project Objective The U.S.-China Clean Energy Research Center (CERC) is a pioneering research and development (R&D) consortium bringing together governments, key policymakers, researchers, and industry to develop a long-term platform for sustainable U.S.-China joint R&D. Ultra-efficient buildings and microgrids require complex optimization both for operations and when choosing equipment. This CERC project

  16. DOE Reaches Settlements with Three Commercial Refrigeration Equipment

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

    Manufacturers | Department of Energy Reaches Settlements with Three Commercial Refrigeration Equipment Manufacturers DOE Reaches Settlements with Three Commercial Refrigeration Equipment Manufacturers March 1, 2016 - 6:20pm Addthis DOE settled enforcement actions against Utility Refrigerator, True Manufacturing, and Victory Refrigeration for distributing commercial refrigeration equipment in the United States that do not meet applicable energy conservation standards. As a part of the

  17. Appliance and Equipment Standards Program Overview - 2016 BTO Peer Review

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

    | Department of Energy and Equipment Standards Program Overview - 2016 BTO Peer Review Appliance and Equipment Standards Program Overview - 2016 BTO Peer Review Presenter: John Cymbalsky, U.S. Department of Energy This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office's Appliance and Equipment Standards Program. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs. PDF icon 2016 BTO Peer Review

  18. Novel Energy Conversion Equipment for Low Temperatures Geothermal Resources

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

    | Department of Energy Energy Conversion Equipment for Low Temperatures Geothermal Resources presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon novel_energy_conversion_equipment_low_peer2013.pdf More Documents & Publications Novel Energy Conversion Equipment for Low Temperature Geothermal Resources City of Eagan …Civic Ice Arena Renovation Canby Cascaded Geothermal Project Phase 1 Feasibility

  19. Focus Series: The Greater Cincinnati Energy Alliance (GCEA) Equipment Lease

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

    Program Breaks Down Barriers for Cincinnati Contractors | Department of Energy The Greater Cincinnati Energy Alliance (GCEA) Equipment Lease Program Breaks Down Barriers for Cincinnati Contractors Focus Series: The Greater Cincinnati Energy Alliance (GCEA) Equipment Lease Program Breaks Down Barriers for Cincinnati Contractors Focus Series: The Greater Cincinnati Energy Alliance (GCEA) Equipment Lease Program Breaks Down Barriers for Cincinnati Contractors, a publication of the U.S.

  20. Alternative Fuel and Advanced Technology Commercial Lawn Equipment

    SciTech Connect (OSTI)

    2014-10-10

    The U.S. Department of Energy's Clean Cities program produced this guide to help inform the commercial mowing industry about product options and potential benefits. This guide provides information about equipment powered by propane, ethanol, compressed natural gas, biodiesel, and electricity, as well as advanced engine technology. In addition to providing an overview for organizations considering alternative fuel lawn equipment, this guide may also be helpful for organizations that want to consider using additional alternative fueled equipment.