National Library of Energy BETA

Sample records for forecast year equipment

  1. Forecast of contracting and subcontracting opportunities. Fiscal year 1996

    SciTech Connect (OSTI)

    1996-02-01

    This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.

  2. 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.

  3. 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.

  4. 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.

  5. Summer gasoline price forecast slightly higher, but drivers still pay less than last year

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

    Summer gasoline price forecast slightly higher, but drivers still pay less than last year Rising crude oil prices are likely to be passed on to consumers at the pump, but U.S. drivers are still expected to pay the lowest summer gasoline prices since 2004, and for all of 2016 the average household will spend $900 less on gasoline than it did two years ago." In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular grade gasoline will average

  6. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Pollution-control equipment (Brazil). Industrial waste-treatment equipment, September 1991. Export trade information

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The Brazilian market for both solid and liquid industrial waste treatment equipment is promising in view of the expected growth in demand during the next 5 years. The estimated market demand in 1991 is US $243 million and is projected to grow 15% per year reaching US $370 million in 1994. The market for liquid waste equipment is about 85% of the total market for industrial waste equipment. Currently imports of pollution control equipment account for about 13% of the total market. Due to the recent import liberalization program implemented by the Government, local sources forecast the import share will increase to 20% by 1994.

  15. 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

  16. 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:...

  17. 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....

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

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

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

  19. 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...

  20. 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...

  1. 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.

  2. Forecast Change

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

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

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    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...

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

    1 YEAR 2012 Males 30 Females 11 YEAR 2012 SES 1 EN 05 1 EN 04 11 NN (Engineering) 9 NQ (ProfTechAdmin) 17 NU (TechAdmin Support) 2 YEAR 2012 American Indian Male 0 American...

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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  17. 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 ...

  18. 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...

  19. Forecasting Water Quality & Biodiversity

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

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

  20. 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...

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    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...

  2. 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

  3. YEAR

    National Nuclear Security Administration (NNSA)

    2 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. YEAR

    National Nuclear Security Administration (NNSA)

    3 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)

  11. 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

  12. 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

  13. 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

  14. 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

  15. YEAR

    National Nuclear Security Administration (NNSA)

    446 YEAR 2014 Males 1626 Females 820 YEAR 2014 SES 97 EX 2 ED 1 SL 1 EJ/EK 84 EN 05 38 EN 04 162 EN 03 18 NN (Engineering) 427 NQ (Prof/Tech/Admin) 1216 NU (Tech/Admin Support) 66 NV (Nuc Mat Courier) 327 GS 15 2 GS 14 2 GS 13 2 GS 10 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 27 American Indian Alaskan Native Female (AIAN F) 24 African American Male (AA M) 90 African American Female (AA F) 141 Asian American Pacific Islander Male (AAPI M) 63 Asian American Pacific Islander Female

  16. YEAR

    National Nuclear Security Administration (NNSA)

    1 YEAR 2014 Males 48 Females 33 PAY PLAN YEAR 2014 SES 1 EJ/EK 8 EN 04 10 EN 03 1 NN (Engineering) 27 NQ (Prof/Tech/Admin) 29 NU (Tech/Admin Support) 5 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 3 African American Male (AA M) 0 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 12 Hispanic Female (H F) 12 White Male (W M) 34 White Female

  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. 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 ...

  20. YEAR

    National Nuclear Security Administration (NNSA)

    White Male (W M) 26 White Female (W F) 16 DIVERSITY TOTAL WORKFORCE GENDER Livermore Field ... YEARS OF FEDERAL SERVICE SUPERVISOR RATIO AGE Livermore Field Office As of March 22, 2014 ...

  1. Laboratory Equipment Donation Program - Equipment Applications

    Office of Scientific and Technical Information (OSTI)

    Select the "Search Equipment" menu link. Enter the type of equipment desired into the search box or choose the "Equipment List" link, which will allow you see a complete list of ...

  2. Flood Forecasting in River System Using ANFIS

    SciTech Connect (OSTI)

    Ullah, Nazrin; Choudhury, P.

    2010-10-26

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Laboratory Equipment Donation Program - Equipment List

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

    Equipment List Already know the item control number? Submit Reset Item Control Number Equipment Name Date Entered Condition Picture 89022961820152 75164 VACUUM CONDENSER 07272016 ...

  8. 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 ...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 2016 Solar Forecasting Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  14. Today's Forecast: Improved Wind Predictions

    Broader source: Energy.gov [DOE]

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

  15. Solar Forecast Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  16. 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 this date to acquire equipment) Manufacturer: Make: Model: FSC Number: Detailed Description: Location of Equipment: Address Line 2: Address Line 3: City: State: Zip: Contact: Phone: Fax: Email address: Quantity: Original Acquisition Cost: $0.00

  17. 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...

  18. 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

  19. Line Equipment Operator

    Broader source: Energy.gov [DOE]

    There are several Line Equipment Operator positions located in Washington and Oregon. A successful candidate in this position will perform Line Equipment Operator work operating trucks and all...

  20. 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

  1. 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.

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

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

    World oil inventories forecast to grow significantly in 2016 and 2017 Global oil inventories are expected to continue strong growth over the next two years which should keep oil ...

  3. 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

  4. 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

  5. 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.

  6. 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.

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

    SciTech Connect (OSTI)

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

    2005-07-01

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

  8. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

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

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

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

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

  10. Using Wikipedia to forecast diseases

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

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

  11. 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.

  12. The forecast calls for flu

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

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

  13. MECS 2006- Transportation Equipment

    Office of Energy Efficiency and Renewable Energy (EERE)

    Manufacturing Energy and Carbon Footprint for Transportation Equipment (NAICS 336) Sector with Total Energy Input, October 2012 (MECS 2006)

  14. 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).

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

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

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

  16. 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:...

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

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

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

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

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

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

  19. 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.

  20. Laboratory Equipment Donation Program - Equipment List

    Office of Scientific and Technical Information (OSTI)

    Equipment List Already know the item control number? Submit Reset Item Control Number Equipment Name Date Entered Condition Picture 89022962080110 216969 LEPS HIGH PURITY GERMANIUM 08/16/2016 Repairable N/A 89022962080111 220131 DETECTOR GAMMA RAY 08/16/2016 Repairable N/A 89022962240034 220131 DETECTOR GAMMA RAY 08/31/2016 Repairable N/A 89022962170049 73415 CHROMATOGRAPHY SYSTEMS 08/24/2016 Repairable N/A 89022962170057 74147 THERMAL GAS CHROMATOGRAPH 08/24/2016 Repairable N/A 89022962170061

  1. 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:

  2. 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)...

  3. Science on Tap - Forecasting illness

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

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

  4. 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.

  5. Acquisition Forecast Download | Department of Energy

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

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

  6. 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.

  7. 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.

  8. 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).

  9. 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).

  10. 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

    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.

  11. 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.

  12. 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...

  13. Appliance and Equipment Standards

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

    Standards April 22, 2014 John Cymbalsky Program Manager 1 | Energy Efficiency and Renewable Energy eere.energy.gov 2 Appliance & Equipment Standards Mission The Appliance and Equipment Standards Program's Mission to Fulfill its Statutory Obligation to: * Develop and amend energy conservation standards that achieve the maximum energy efficiency that is technologically feasible and economically justified. * Develop and amend test procedures that are repeatable, reproducible, representative,

  14. Hydrogen Equipment Certification Guide

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

    Equipment Certification Guide U.S. Department of Energy Fuel Cell Technologies Office December 10 th , 2015 Presenter: Nick Barilo Pacific Northwest National Laboratory (PNNL) Hydrogen Safety Program Manager DOE Host: Will James - DOE Fuel Cell Technologies Office 2 | Fuel Cell Technologies Office eere.energy.gov Question and Answer * Please type your questions into the question box 2 / / Hydrogen Equipment Certification Guide: Introduction and Kickoff for the Stakeholder Review Nick Barilo PNNL

  15. 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.

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

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

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

  17. Picture of the Week: Forecasting Flu

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

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

  18. 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.

  19. Laboratory Equipment Donation Program - Guidelines

    Office of Scientific and Technical Information (OSTI)

    ... What equipment is available under the LEDP program? Examples of typical items of educational training apparatus or equipment that may be requested are listed below. It should be ...

  20. 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)...

  1. 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.

  2. The Value of Wind Power Forecasting

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

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

  3. 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. ...

  4. 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

  5. UPF Forecast | Y-12 National Security Complex

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

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

  6. 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.

  7. Sandia National Laboratories: Supported Equipment

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

    Supported Equipment Alt text This list of PSL supported equipment identifies the electrical Measuring and Test Equipment (M&TE) for which the Primary Standards Laboratory has either developed a calibration procedure or identified a commercial calibration source. Calibration of equipment that is not listed may take additional time and resources. Please contact the PSL at 845-8855 for additional information.

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

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

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

  9. 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.

  10. 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.

  11. 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.

  12. Supply Forecast and Analysis (SFA)

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

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

  13. 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...

  14. 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?

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. 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

  20. LED Lighting Forecast | Department of Energy

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

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

  1. NREL: Resource Assessment and Forecasting Home Page

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

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

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

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

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

  3. 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...

  4. 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...

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

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

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

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

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

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

  7. 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,

  8. 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.

  9. 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.

  10. 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...

  11. 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...

  12. 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

  13. 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

  14. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

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

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

  15. 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 ...

  16. 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 ...

  17. 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...

  18. 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.

  19. 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...

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Proceedings: Substation equipment diagnostics conference

    SciTech Connect (OSTI)

    Lyons, K.L.

    1994-07-01

    This Substation Equipment Diagnostics Conference held November 3--5, 1993, in New Orleans, Louisiana, reviewed the status of EPRI research on transmission substation diagnostics as well as that of universities, manufacturers, testing organizations, and other researchers. The papers presented were organized under four categories of diagnostics: Transformers, Circuit Breakers, Other Substation Equipment, and Diagnostic Systems.

  7. 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.

  8. 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.

  9. 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...

  10. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  11. 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.

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

    SciTech Connect (OSTI)

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

    2011-10-01

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

  13. 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...

  14. 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....

  15. 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.

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

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

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

  17. 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

  18. 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...

  19. MPC Equipment | The Ames Laboratory

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

    MPC Equipment The MPC utilizes a wide range of equipment designed for metallurgical or materials research. With capabilities from simple arc casting techniques, single crystal preparation, and VIM casting, to plasma spraying and high-pressure gas atomization the MPC can assist research groups in many areas. We house complete metallography, analytical, and characterization resources to complement our fabrication capabilities. All of our services are provided on a cost recovery basis. MPC

  20. 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.

  1. 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.

  2. 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.

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

    SciTech Connect (OSTI)

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

    2014-05-01

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

  4. 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.

  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. Alternative Fuels Data Center: Biodiesel Equipment Options

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

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

  7. 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...

  8. 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:...

  9. Materials Selection Considerations for Thermal Process Equipment...

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

    Materials Selection Considerations for Thermal Process Equipment: A BestPractices Process Heating Technical Brief Materials Selection Considerations for Thermal Process Equipment: ...

  10. 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,...

  11. 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...

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

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

    More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing Facilities and Equipment Program Fact Sheet: Grid-Scale ...

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

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

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

  14. 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...

  15. Laboratory Equipment Donation Program - Guidelines/FAQ

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

    eligible to participate in the Laboratory Equipment Donation Program (LEDP) program. ... physically attached to an energy-related laboratory equipment system); General supplies. ...

  16. Laboratory Equipment Donation Program - About Us

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

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

  17. Laboratory Equipment Donation Program - Home Page

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

    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

  18. 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 ...

  19. 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...

  20. 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,...

  1. 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...

  2. 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.

  3. 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

  4. 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.

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

    SciTech Connect (OSTI)

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

    2015-11-10

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

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

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

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

    2015-11-10

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

  7. Strategy Guideline. HVAC Equipment Sizing

    SciTech Connect (OSTI)

    Burdick, Arlan

    2012-02-01

    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, FL. 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.

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

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

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

  9. 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 ...

  10. Energy-related laboratory equipment (ERLE) guidelines

    SciTech Connect (OSTI)

    Not Available

    1995-01-01

    This document describes the Used Energy-Related Laboratory Equipment grants, and eligibility and procedures for participation. The document contains tables identifying typical equipment that may be requested, where to review ERLE equipment lists, and where to mail applications, a description of the eligible equipment grants access data system, and a copy of the ERLE grant application and instructions for its completion and submission.

  11. Specialty Vehicles and Material Handling Equipment

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

    Industrial Power Efficient Simple Clean Today Industrial Power Efficient Simple Clean Today Specialty Vehicles and Material Handling Equipment Specialty Vehicles and Material Handling Equipment Specialty Vehicles and Material Handling Equipment Specialty Vehicles and Material Handling Equipment Matching Federal Government Energy Needs with Energy Efficient F Matching Federal Government Energy Needs with Energy Efficient F Matching Federal Government Energy Needs with Energy Efficient F Matching

  12. 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.

  13. 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

  14. 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...

  15. 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.

  16. 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)

  17. Permit for Charging Equipment Installation: Electric Vehicle Supply Equipment (EVSE)

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

    Compliance with the following permit will allow the installation and operation of electric vehicle charging equipment at a residence in the City, State jurisdiction. This permit addresses one of the following situations: Only an additional branch circuit would be added at the residence A hard-wired charging station would be installed at the residence. The attached requirements for wiring the charging station are taken directly out of the 2011 edition of the National Electrical Code (NEC) NFPA

  18. 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.

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

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

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

  20. 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 Transportation Equipment (125.57 KB) More Documents & Publications MECS 2006 - Transportation Equipment Cement (2010 MECS) Glass and Glass Products (2010

  1. 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.

  2. 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

  3. 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.

  4. Toward more testable security equipment

    SciTech Connect (OSTI)

    Spencer, D.D.; Murray, D.W. )

    1991-01-01

    An important functional aspect of most security related equipment is the need for periodic performance testing. Sensors, entry-control devices, and other such security equipment usually have some sort or reliability or testing requirements. Unfortunately, testing requirements are seldom considered during equipment design, and testing becomes a prohibitively expensive or inconvenient afterthought. In this paper work at Sandia National Laboratories to address this concern is presented, focusing on metal detectors as a test case. Field testing of metal detectors is usually done by passing a test object through the opening to see whether an alarm is generated or not. Such alarm/no-alarm data are poor for making reliability estimates, and thus, a large quantity of such data is required to make good reliability statements. The detector itself uses much better internal information. Experiments tapping into some of this internal data will be discussed, and conclusions will be drawn about the possibility of redesign of metal detectors for enhanced testability. Such conclusions have implications for other types of security-related devices, as well.

  5. Final Report on California Regional Wind Energy Forecasting Project:Application of NARAC Wind Prediction System

    SciTech Connect (OSTI)

    Chin, H S

    2005-07-26

    Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and

  6. Used energy-related laboratory equipment grant program for institutions of higher learning. Eligible equipment catalog

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    This is a listing of energy related equipment available through the Energy-Related Laboratory Equipment Grant Program which grants used equipment to institutions of higher education for energy-related research. Information included is an overview of the program, how to apply for a grant of equipment, eligibility requirements, types of equipment available, and the costs for the institution.

  7. 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.

  8. 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 ...

  9. 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.

  10. Forecasting hotspots using predictive visual analytics approach

    SciTech Connect (OSTI)

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

    2014-12-30

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

  11. Fire suppression and detection equipment

    SciTech Connect (OSTI)

    E.E. Bates

    2006-01-15

    Inspection and testing guidelines go beyond the 'Code of Federal Regulation'. Title 30 of the US Code of Federal Regulations (30 CFR) contains requirements and references to national standards for inspection, testing and maintenance of fire suppression and detection equipment for mine operators. However, federal requirements have not kept pace with national standards and best practices. The article lists National Fire Protection (NFPA) standards that are referenced by the US Mine Safety and Health Administration (MSHA) in 30 CFR. It then discusses other NFPA Standards excluded from 30 CFR and explains the NFPA standard development process. 2 refs., 3 tabs., 5 photos.

  12. Bulk Hauling Equipment for CHG

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

    BULK HAULING EQUIPMENT FOR CHG Don Baldwin Director of Product Development - Hexagon Lincoln HEXAGON LINCOLN TITAN(tm) Module System Compressed Hydrogen Gas * Capacity 250 bar - 616 kg 350 bar - 809 kg 540 bar - 1155 kg * Gross Vehicle Weight (with prime mover) 250 bar - 28 450 kg 350 bar - 30 820 kg 540 bar - 39 440 kg * Purchase Cost 250 bar - $510,000 350 bar - $633,750 540 bar - $1,100,000 Compressed Natural Gas * Capacity (250 bar at 15 C) - 7412 kg * GVW (With prime mover) - 35 250 kg *

  13. 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.

  14. 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.

  15. 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.

  16. 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

  17. 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.

  18. 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.

  19. 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...

  20. BCM 1 Equipment Inventory | Sample Preparation Laboratories

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

    1 Equipment Inventory Biology Chemistry & Material Science Laboratory 1 Title Equipment Type Description Corning 430 pH Meter pH Meter The Corning 430 pH meter is designed to ...

  1. 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 AgAgCl ...

  2. 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 ...

  3. Appliance and Equipment Standards Program Logic Model

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

    standards, resulting in energy savings in the buildings sector The Appliance & Equipment ... incentives, Legislation Regulation Objectives Activities ...

  4. 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 of Energy (DOE) to grant surplus and available used energy-related laboratory equipment to universities and colleges in the United States for use in energy oriented educational programs. This grant program is sponsored by the Office of Workforce Development for Teachers and Scientists (WDTS). The listing of equipment

  5. 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.

  6. Proceedings: Substation Equipment Diagnostics Conference IX

    SciTech Connect (OSTI)

    2001-09-01

    Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The ninth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

  7. Proceedings: Tenth EPRI Substation Equipment Diagnostics Conference

    SciTech Connect (OSTI)

    2002-06-01

    Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The tenth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

  8. Proceedings: Substation Equipment Diagnostics Conference VIII

    SciTech Connect (OSTI)

    2000-06-01

    Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The eighth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

  9. Proceedings: Substation equipment diagnostics conference 6

    SciTech Connect (OSTI)

    Traub, T.P.

    1998-09-01

    Substation Equipment Diagnostics Conference 6 was held to assemble, assess and communicate information on the latest diagnostic techniques, test devices, and systems for substation equipment. It focused on the latest in diagnostic equipment and techniques being developed by EPRI and others in research programs, as well as the equipment and programs now available and in service by electric utilities. The conference brought together the views of researchers, manufacturers and users. The papers presented were organized under three categories: Transformers, Circuit Breakers and Other Substation Equipment, and Communications/Data Management/System Integration. Exhibit booths were provided for attendees to obtain detailed information about vendor products or services.

  10. 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.

  11. 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.

  12. 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.

  13. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

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

  14. 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.

  15. 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...

  16. 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...

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

    Energy Savers [EERE]

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

  18. 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 ...

  19. 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 " " % % &...

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

    Office of Scientific and Technical Information (OSTI)

    forecasts for solar-energy applications and 2) to provide vertical profiling capabilities for the study of dynamics (i.e., vertical velocity) and hydrometeors in winter storms. ...

  1. 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, ...

  2. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts.

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

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

    ... RIT forecasting is saving costs and improving operational practices for IPC and helping integrate wind power more efficiently and cost effectively. Figure 3 shows how the ...

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

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

    ... Cost Assignment - Only a few respondents partly or fully recover forecasting costs from variable generators. Many simply absorb the costs, possibly viewing them as relatively ...

  6. 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.

  7. ANL Software Improves Wind Power Forecasting | Department of...

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

    ... The licensing arrangement helps to facilitate transfer of the statistical learning algorithms developed in the project to industry use. A leading forecast provider in the United ...

  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. 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." ...

  10. 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.

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

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

    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 ...

  14. 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.

  15. 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.

  16. 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

  17. 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

  18. Commercial Refrigeration Equipment | Department of Energy

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

    Commercial Refrigeration Equipment Commercial Refrigeration Equipment The Department of Energy (DOE) develops standardized data templates for reporting the results of tests conducted in accordance with current DOE test procedures. Templates may be used by third-party laboratories under contract with DOE that conduct testing in support of ENERGY STAR® verification, DOE rulemakings, and enforcement of the federal energy conservation standards. Commercial Refrigeration Equipment -- v2.0 (87.25 KB)

  19. 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.

  20. 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

  1. Laboratory Equipment & Supplies | Sample Preparation Laboratories

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

    Equipment & Supplies John Bargar, SSRL Scientist Equipment is available to serve disciplines from biology to material science. All laboratories contain the following standard laboratory equipment: pH meters with standard buffers, analytical balances, microcentrifuges, vortex mixers, ultrasonic cleaning baths, magnetic stirrers, hot plates, and glassware. Most laboratories offer ice machines and cold rooms. Specialty storage areas for samples include a -80 freezer, argon and nitrogen glove

  2. Large-Scale Liquid Hydrogen Handling Equipment

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

    8, 2007 Jerry Gillette Large-Scale Liquid Hydrogen Handling Equipment Hydrogen Delivery Analysis Meeting Argonne National Laboratory Some Delivery Pathways Will Necessitate the Use of Large- Scale Liquid Hydrogen Handling Equipment „ Potential Scenarios include: - Production plant shutdowns - Summer-peak storage „ Equipment Needs include: - Storage tanks - Liquid Pumps - Vaporizers - Ancillaries 2 1 Concern is that Scaling up from Small Units Could Significantly Underestimate Costs of Larger

  3. Experimental Equipment | Stanford Synchrotron Radiation Lightsource

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

    Equipment SSRL plans the distribution of its limited equipment on the basis of the information supplied on the Beam Time Request Form and the User Support Requirements Form. Please make sure to state all of your needs. Standard X-Ray Station Equipment Standard equipment to be found on an x-ray station includes: (1 ea.) Small and large ionization chambers (1) Exit slits (1) X-Y sample positioner (3) Keithly 427 current-to-voltage amplifier TEK 2215 60 MHZ 2 channel scope Voltage-to-frequency

  4. 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...

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

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

    D.C. PDF icon esarravt002flicker2010p.pdf More Documents & Publications Advanced Battery Manufacturing Facilities and Equipment Program Advanced Battery Manufacturing...

  6. 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...

  7. 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...

  8. 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...

  9. 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. 

  10. 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...

  11. 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...

  12. Process Equipment Cost Estimation, Final Report

    SciTech Connect (OSTI)

    H.P. Loh; Jennifer Lyons; Charles W. White, III

    2002-01-01

    This report presents generic cost curves for several equipment types generated using ICARUS Process Evaluator. The curves give Purchased Equipment Cost as a function of a capacity variable. This work was performed to assist NETL engineers and scientists in performing rapid, order of magnitude level cost estimates or as an aid in evaluating the reasonableness of cost estimates submitted with proposed systems studies or proposals for new processes. The specific equipment types contained in this report were selected to represent a relatively comprehensive set of conventional chemical process equipment types.

  13. 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...

  14. Smart Buildings Equipment Initiative | Department of Energy

    Energy Savers [EERE]

    ...equipment; and 3) developing and (selectively) executing test procedures that can be used to evaluate the "demand response compliant" statusmaturity of various technologies. ...

  15. 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 ...

  16. 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...

  17. 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...

  18. 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....

  19. MOV surge arresters: improved substation equipment protection

    SciTech Connect (OSTI)

    Niebuhr, W.D.

    1985-07-01

    The introduction of metal-oxide-varistor (MOV) surge arresters has added a new dimension to substation equipment protection. Through the optimal use of these arresters, it is possible to lower surge arrester ratings and thereby improve protective margins, resulting in a possible reduction of the insulation levels (BIL) of substation equipment. This reduction in BIL can lead to a significant reduction in the cost of substation equipment. General methods are delineated for selecting MOV surge arresters for substation protection and the resulting effect on substation equipment insulation levels.

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

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

    ... Liquid desiccant system, desiccant wheels. Indoor or Outdoor Fan Motor with Variable Frequency Drive (VFD). A device connected electrically between the equipment's power supply ...

  1. Technical analysis in short-term uranium price forecasting

    SciTech Connect (OSTI)

    Schramm, D.S.

    1990-03-01

    As market participants anticipate the end of the current uranium price decline and its subsequent reversal, increased attention will be focused upon forecasting future price movements. Although uranium is economically similar to other mineral commodities, it is questionable whether methodologies used to forecast price movements of such commodities may be successfully applied to uranium.

  2. 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

  3. 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.

  4. 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

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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

  10. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian

    2014-07-09

    Uncertainties in forecasting the output of intermittent resources such as wind and solar generation, as well as system loads are not adequately reflected in existing industry-grade tools used for transmission system management, generation commitment, dispatch and market operation. There are other sources of uncertainty such as uninstructed deviations of conventional generators from their dispatch set points, generator forced outages and failures to start up, load drops, losses of major transmission facilities and frequency variation. These uncertainties can cause deviations from the system balance, which sometimes require inefficient and costly last minute solutions in the near real-time timeframe. This Chapter considers sources of uncertainty and variability, overall system uncertainty model, a possible plan for transition from deterministic to probabilistic methods in planning and operations, and two examples of uncertainty-based fools for grid operations.This chapter is based on work conducted at the Pacific Northwest National Laboratory (PNNL)

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema (OSTI)

    Gonzalez, Frank

    2010-01-08

    After a review of tsunami statistics and the destruction caused by tsunamis, a means of forecasting tsunamis is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a tsunami warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of Tsunamis (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve tsunami forecast models.

  16. NAFTA opportunities: Electrical equipment and power generation

    SciTech Connect (OSTI)

    Not Available

    1993-01-01

    The North American Free Trade Agreement (NAFTA) provides significant commercial opportunities in Mexico and Canada for the United States electric equipment and power generation industries, through increased goods and services exports to the Federal Electricity Commission (CFE) and through new U.S. investment in electricity generation facilities in Mexico. Canada and Mexico are the United States' two largest export markets for electrical equipment with exports of $1.53 billion and $1.51 billion, respectively, in 1992. Canadian and Mexican markets represent approximately 47 percent of total U.S. exports of electric equipment. The report presents an economic analysis of the section.

  17. 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.

  18. Proceedings: Substation equipment diagnostics conference III. Proceedings

    SciTech Connect (OSTI)

    1996-03-01

    This Substation Equipment Diagnostics Conference III was held to review the status of transmission substation diagnostics by EPRI, as well as that of the universities, manufacturers, testing organizations, and other researchers. The papers presented were organized under three categories of diagnostics: Transformers, Miscellaneous Equipment, and Systems. A reception on the evening of the first day of the Conference provided an opportunity for the researchers, utilities and manufacturers to display their equipment for the attendees. Separate abstracts have been indexed into the database for articles from this conference.

  19. 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.

  20. 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.

  1. 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.

  2. Automatic monitoring of vibration welding equipment (Patent)...

    Office of Scientific and Technical Information (OSTI)

    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 ...

  3. 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...

  4. 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...

  5. 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...

  6. 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.

  7. 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.

  8. 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

  9. 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....

  10. 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.

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

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

    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 ...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  13. Wind Energy Technology Trends: Comparing and Contrasting Recent Cost and Performance Forecasts (Poster)

    SciTech Connect (OSTI)

    Lantz, E.; Hand, M.

    2010-05-01

    Poster depicts wind energy technology trends, comparing and contrasting recent cost and performance forecasts.

  14. 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.

  15. 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

  16. PBL FY 2002 Second Quarter Review Forecast of Generation Accumulated...

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

    Slice true-ups, and actual expense levels. Any variation of these can change the net revenue situation. FY 2002 Forecasted Second Quarter Results 170 (418) FY 2002 Unaudited...

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

    Office of Scientific and Technical Information (OSTI)

    U.S. DEPARTMENT OF HP IENERGY Office of Science DOESC-ARM-15-024 915-MHz Wind Profiler ... M Jensen et al., March 2016, DOESC-ARM-15-024 915-MHz Wind Profiler for Cloud Forecasting ...

  19. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

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

  20. DOE Publishes New Forecast of Energy Savings from LED Lighting

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy has just published the latest edition of its biannual report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, which models the...

  1. 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.

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

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

    The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind ...

  4. 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,...

  5. 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....

  6. 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.

  7. Forecasting of municipal solid waste quantity in a developing country using multivariate grey models

    SciTech Connect (OSTI)

    Intharathirat, Rotchana; Abdul Salam, P.; Kumar, S.; Untong, Akarapong

    2015-05-15

    Highlights: • Grey model can be used to forecast MSW quantity accurately with the limited data. • Prediction interval overcomes the uncertainty of MSW forecast effectively. • A multivariate model gives accuracy associated with factors affecting MSW quantity. • Population, urbanization, employment and household size play role for MSW quantity. - Abstract: In order to plan, manage and use municipal solid waste (MSW) in a sustainable way, accurate forecasting of MSW generation and composition plays a key role. It is difficult to carry out the reliable estimates using the existing models due to the limited data available in the developing countries. This study aims to forecast MSW collected in Thailand with prediction interval in long term period by using the optimized multivariate grey model which is the mathematical approach. For multivariate models, the representative factors of residential and commercial sectors affecting waste collected are identified, classified and quantified based on statistics and mathematics of grey system theory. Results show that GMC (1, 5), the grey model with convolution integral, is the most accurate with the least error of 1.16% MAPE. MSW collected would increase 1.40% per year from 43,435–44,994 tonnes per day in 2013 to 55,177–56,735 tonnes per day in 2030. This model also illustrates that population density is the most important factor affecting MSW collected, followed by urbanization, proportion employment and household size, respectively. These mean that the representative factors of commercial sector may affect more MSW collected than that of residential sector. Results can help decision makers to develop the measures and policies of waste management in long term period.

  8. Use of Volttron Platform for Advanced Control of Building Equipment

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

    and peak PV generation using forecasting tools 2 Presentationname Application ... and integrate photovoltaic sources * Low-cost, "low-touch" retrofit of control ...

  9. New Climate Research Centers Forecast Changes and Challenges | Department

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

    of Energy Climate Research Centers Forecast Changes and Challenges New Climate Research Centers Forecast Changes and Challenges October 25, 2013 - 12:24pm Addthis This artist's rendering illustrates the full site installation, including a new aerosol observing system (far left) and a precipitation radar (far right, with 20-ft tower). The site is located near the Graciosa Island aiport terminal, hidden by the image inset. | Image courtesy of ARM Climate Research Facility. This artist's

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

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

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

  11. 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

  12. 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.

  13. 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.

  14. 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.

  15. Master equipment list -- Phase 1. Revision 1

    SciTech Connect (OSTI)

    Jech, J.B.

    1995-04-28

    The purpose of this document is to define the system requirements for the Master Equipment List (MEL) Phase 1 project. The intended audience for this document includes Data Automation Engineering (DAE), Configuration Management Improvement and Control Engineering (CMI and CE), Data Administration Council (DAC), and Tank Waste Remedial System (TWRS) personnel. The intent of Phase 1 is to develop a user-friendly system to support the immediate needs of the TWRS labeling program. Phase 1 will provide CMI and CE the ability to administrate, distribute, and maintain key information generated by the labeling program. CMI and CE is assigning new Equipment Identification Numbers (EINs) to selected equipment in Tank Farms per the TWRS Data Standard ``Tank Farm Equipment Identification Number``. The MEL Phase 1 system will be a multi-user system available through the HLAN network. It will provide basic functions such as view, query, and report, edit, data entry, password access control, administration and change control. The scope of Phase 1 data will encompass all Tank Farm Equipment identified by the labeling program. The data will consist of fields from the labeling program`s working database, relational key references and pointers, safety class information, and field verification data.

  16. PRESSURE EQUIPMENT IN-SERVICE INSPECTION DATA SHEET FORM PS-10

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

    EQUIPMENT IN-SERVICE INSPECTION DATA SHEET FORM PS-10 Pressure System Number: Date: Pressure System Name: Building Number: Specific Location: Code: System Fluid: Code Year: Fluid State: Fluid Category: PRESSURE EQUIPMENT INSPECTION DATA Condition of exterior is free of corrosion, cracks, dents, gouges, bulges. If insulation is present, condition of insulation is intact: ____ YES ____ NO No evidence of leakage: ____ YES ____ NO Structural attachments and supports are free of cracks and

  17. 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

  18. 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.

  19. 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

  20. 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.

  1. 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 ...

  2. Use Lower Flammable Limit Monitoring Equipment to Improve Process...

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

    Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency Use Lower Flammable Limit Monitoring Equipment to Improve Process Oven Efficiency This process heating ...

  3. Radiation Detection Equipment Up and Running in Slovenia | National...

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

    Radiation Detection Equipment Up and Running in Slovenia November 13, 2006 New Monitors ... Administration (NNSA) announced that radiation detection equipment to screen for ...

  4. 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...

  5. Oil and Gas Lease Equipment and Operating Costs 1994 Through...

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

    Natural Gas > Publications > Oil and Gas Lease Equipment and Operating Costs 1994 Through 2009 Oil and Gas Lease Equipment and Operating Costs 1994 Through 2009 Released: September ...

  6. 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...

  7. 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,...

  8. 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,...

  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. 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:...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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-...

  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. 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:...

  19. 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...

  20. 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:...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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. ...

  7. 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...

  8. Process Equipment Cost Estimation, Final Report (Technical Report...

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

    Process Equipment Cost Estimation, Final Report Citation Details In-Document Search Title: Process Equipment Cost Estimation, Final Report You are accessing a document from the ...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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 ...

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

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

    Photo of a man's gloved hands working on laboratory equipment. the Energy Systems Integration Facility, researchers have access to a variety of equipment to support energy systems ...

  17. Remote Control of Laboratory Equipment for Educational Purposes...

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

    Remote Control of Laboratory Equipment for Educational Purposes This invention consists of a method to remote control many types of laboratory equipment that is typically found in ...

  18. 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...

  19. CRAD, Measuring and Testing Equipment Assessment Plan | Department...

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

    Measuring and Testing Equipment Assessment Plan CRAD, Measuring and Testing Equipment Assessment Plan Performance Objective: The objective of this assessment is to determine ...

  20. 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 ...

  1. 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...

  2. 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:...

  3. 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:...

  4. 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...

  5. 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...

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

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

    Best Management Practice 12: Laboratory and Medical Equipment Equipment used in hospitals ... Find more information on the alternative water sources best management practice. Explore ...

  7. Security Equipment and Systems Certification Program (SESCP)

    SciTech Connect (OSTI)

    Steele, B.J.; Papier, I.I.

    1996-06-20

    Sandia National Laboratories (SNL) and Underwriters Laboratories, Inc., (UL) have jointly established the Security Equipment and Systems Certification Program (SESCP). The goal of this program is to enhance industrial and national security by providing a nationally recognized method for making informed selection and use decisions when buying security equipment and systems. The SESCP will provide a coordinated structure for private and governmental security standardization review. Members will participate in meetings to identify security problems, develop ad-hoc subcommittees (as needed) to address these identified problems, and to maintain a communications network that encourages a meaningful exchange of ideas. This program will enhance national security by providing improved security equipment and security systems based on consistent, reliable standards and certification programs.

  8. 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.

  9. 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

  10. 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.

  11. INL Equipment to Aid Regional Response Team

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

    INL Equipment to Aid Regional Response Team DOE-ID is transferring equipment to the Idaho Falls Police Department's Hazardous Materials Response Team for their use in responding to suspected hazardous devices. The new IFPD Team will be the Regional Response Team covering the I-15 corridor from Utah/Idaho border to the Montana/Idaho border. The IFPD Team will respond to the INL if/when we need them. Helping to outfit the IFPD Team will allow much more timely response on this side of the state.

  12. Solid waste 30-year volume summary

    SciTech Connect (OSTI)

    Valero, O.J.; Armacost, L.L.; DeForest, T.J.; Templeton, K.J.; Williams, N.C.

    1994-06-01

    A 30-year forecast of the solid waste volumes to be generated or received at the US Department of Energy Hanford Site is described in this report. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste that will require treatment, storage, and disposal at Hanford`s Solid Waste Operations Complex (SWOC) during the 30-year period from FY 1994 through FY 2023. The data used to complete this document were collected from onsite and offsite waste generators who currently, or are planning to, ship solid wastes to the Hanford Site. An analysis of the data suggests that over 300,000 m{sup 3} of LLMW and TRU/TRUM waste will be managed at Hanford`s SWOC over the next 30 years. An extensive effort was made this year to collect this information. The 1993 solid waste forecast was used as a starting point, which identified approximately 100,000 m{sup 3} of LLMW and TRU/TRUM waste to be sent to the SWOC. After analyzing the forecast waste volume, it was determined that additional waste was expected from the tank waste remediation system (TWRS), onsite decontamination and decommissioning (D&D) activities, and onsite remedial action (RA) activities. Data presented in this report establish a starting point for solid waste management planning. It is recognized that forecast estimates will vary (typically increasing) as facility planning and missions continue to change and become better defined, but the information presented still provides useful insight into Hanford`s future solid waste management requirements.

  13. 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.

  14. 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

  15. Right-Sizing Laboratory Equipment Loads

    SciTech Connect (OSTI)

    Frenze, David; Greenberg, Steve; Mathew, Paul; Sartor, Dale; Starr, William

    2005-11-29

    Laboratory equipment such as autoclaves, glass washers, refrigerators, and computers account for a significant portion of the energy use in laboratories. However, because of the general lack of measured equipment load data for laboratories, designers often use estimates based on 'nameplate' rated data, or design assumptions from prior projects. Consequently, peak equipment loads are frequently overestimated. This results in oversized HVAC systems, increased initial construction costs, and increased energy use due to inefficiencies at low part-load operation. This best-practice guide first presents the problem of over-sizing in typical practice, and then describes how best-practice strategies obtain better estimates of equipment loads and right-size HVAC systems, saving initial construction costs as well as life-cycle energy costs. This guide is one in a series created by the Laboratories for the 21st Century ('Labs21') program, a joint program of the U.S. Environmental Protection Agency and U.S. Department of Energy. Geared towards architects, engineers, and facilities managers, these guides provide information about technologies and practices to use in designing, constructing, and operating safe, sustainable, high-performance laboratories.

  16. 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.

  17. Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts |

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

    Department of Energy Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts Making Wind Energy Predictable: New Profilers Provide Hourly Forecasts May 11, 2016 - 6:48pm Addthis Balancing the power grid is an art-or at least a scientific study in chaos-and the Energy Department is hoping wind energy can take a greater role in the act. Yet, the intermittency of wind-sometimes it's blowing, sometimes it's not-makes adding it smoothly to the nation's electrical grid a challenge.

  18. Used energy-related laboratory equipment grant program for institutions of higher learning. Eligible equipment catalog

    SciTech Connect (OSTI)

    Not Available

    1986-07-01

    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 to universities and colleges and other nonprofit educational institutions of higher learning in the United States for use in energy-oriented educational programs in the life, physical and environmental sciences and engineering. Proposals for the grant of available equipment in this program should be submitted by eligible non-profit educational institution to the DOE Field Office responsible for the site where the specific equipment is known to be located.

  19. 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.

  20. Novel Energy Conversion Equipment for Low Temperatures Geothermal Resources

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

    | Department of Energy Energy Conversion Equipment for Low Temperatures Geothermal Resources Novel Energy Conversion Equipment for Low Temperatures Geothermal Resources Novel Energy Conversion Equipment for Low Temperatures Geothermal Resources presentation at the April 2013 peer review meeting held in Denver, Colorado. novel_energy_conversion_equipment_low_peer2013.pdf (582.04 KB) More Documents & Publications Novel Energy Conversion Equipment for Low Temperature Geothermal Resources

  1. 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

  2. REAL ESTATE & EQUIPMENT LEASING / RENTAL CALIFORNIA LAWRENCE BERKELEY LAB

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

    REAL ESTATE & EQUIPMENT LEASING / RENTAL CALIFORNIA LAWRENCE BERKELEY LAB POC David Chen Telephone (510) 486-4506 Email dtchen@lbl.gov Construction, Mining, and Forestry Machinery and Equipment Rental and Leasing 532412 Office Machinery and Equipment Rental and Leasing 532420 LAWRENCE LIVERMORE LAB POC Jill Swanson Telephone (925) 423-4535 Email swanson6@llnl.gov Construction, Mining, and Forestry Machinery and Equipment Rental and Leasing 532412 Office Machinery and Equipment Rental and

  3. 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

  4. 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

  5. Appliance and Equipment Standards Program | Department of Energy

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

    Appliance and Equipment Standards Program Appliance and Equipment Standards Program Appliance and equipment standards are saving saving consumers and businesses billions of dollars. Appliance and equipment standards are saving saving consumers and businesses billions of dollars. The Building Technologies Office (BTO) implements minimum energy conservation standards for more than 60 categories of appliances and equipment. As a result of these standards, American consumers saved $63 billion on

  6. CRAD, Equipment and Piping Labeling Assessment Plan | Department of Energy

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

    Equipment and Piping Labeling Assessment Plan CRAD, Equipment and Piping Labeling Assessment Plan Performance Objective: To verify that facility equipment and piping are labeled in a manner such that facility personnel are able to positively identify equipment they operate. To ensure that an effective labeling program is in effect to reduce operator and maintenance errors from incorrect identification of equipment, to increase training effectiveness by tracing the actual facility system as

  7. 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...

  8. 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...

  9. Final Report - Integration of Behind-the-Meter PV Fleet Forecasts...

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

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

  10. 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.

  11. 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...

  12. 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.

  13. EIA revises up forecast for U.S. 2013 crude oil production by...

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

    EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day The forecast for U.S. crude oil production keeps going higher. The U.S. Energy Information ...

  14. Measured Peak Equipment Loads in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul A.

    2007-09-12

    This technical bulletin documents measured peak equipment load data from 39 laboratory spaces in nine buildings across five institutions. The purpose of these measurements was to obtain data on the actual peak loads in laboratories, which can be used to rightsize the design of HVAC systems in new laboratories. While any given laboratory may have unique loads and other design considerations, these results may be used as a 'sanity check' for design assumptions.

  15. 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

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

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

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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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)

  2. 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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. 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

  5. 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.

  6. 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

  7. 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.

  8. 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.

  9. 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% /

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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% /

  15. 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% /

  16. 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%

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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% /

  2. 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

  3. 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

  4. 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

  5. Y YEAR

    National Nuclear Security Administration (NNSA)

    502 2381 -4.84% ↓ YEAR 2013 2014 Males 1663 1593 -4.21% ↓ Females 839 788 -6.08% ↓ YEAR 2013 2014 SES 104 90 -13.46% ↓ EX 2 4 100% ↑ SL 1 0 -100% ↓ EJ/EK 88 73 -17.05% ↓ EN 05 40 41 2.50% ↑ EN 04 169 157 -7.10% ↓ EN 03 18 21 100% ↑ EN 00 0 6 100% ↑ NN (Engineering) 441 416 -5.67% ↓ NQ (Prof/Tech/Admin) 1239 1190 -3.95% ↓ NU (Tech/Admin Support) 66 57 -13.64% ↓ NV (Nuc Mat Courier) 328 321 -2.13% ↓ GS 15 1 2 100% ↑ GS 13 2 2 0% / GS 10 3 1 -66.67% ↓ YEAR 2013

  6. Y YEAR

    National Nuclear Security Administration (NNSA)

    80 83 3.75% ↑ YEAR 2013 2014 Males 48 50 4.17% ↑ Females 32 33 3.13% ↑ YEAR 2013 2014 SES 2 1 -50.00% ↓ EJ/EK 8 7 -12.50% ↓ EN 04 11 9 -18.18% ↓ EN 03 1 1 0% / NN (Engineering) 24 27 12.50% ↑ NQ (Prof/Tech/Admin) 32 33 3.13% ↑ NU (Tech/Admin Support) 2 5 150% ↑ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 3 3 0% / African American Male (AA,M) 0 0 0% / African American Female (AA,F) 2 2 0% / Asian American

  7. 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

  8. Equipment design guidance document for flammable gas waste storage tank new equipment

    SciTech Connect (OSTI)

    Smet, D.B.

    1996-04-11

    This document is intended to be used as guidance for design engineers who are involved in design of new equipment slated for use in Flammable Gas Waste Storage Tanks. The purpose of this document is to provide design guidance for all new equipment intended for application into those Hanford storage tanks in which flammable gas controls are required to be addressed as part of the equipment design. These design criteria are to be used as guidance. The design of each specific piece of new equipment shall be required, as a minimum to be reviewed by qualified Unreviewed Safety Question evaluators as an integral part of the final design approval. Further Safety Assessment may be also needed. This guidance is intended to be used in conjunction with the Operating Specifications Documents (OSDs) established for defining work controls in the waste storage tanks. The criteria set forth should be reviewed for applicability if the equipment will be required to operate in locations containing unacceptable concentrations of flammable gas.

  9. 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.

  10. 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

  11. 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 answered or if you wish to send a comment, please see contact information below. Email EMAIL Email messages are answered Monday - Friday, 9 a.m. - 4 p.m. Telephone PHONE 865-241-6435 Mailing Address MAIL U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62 Oak Ridge,TN 37831 Additional

  12. 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....

  13. 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...

  14. 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.

  15. 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 ...

  16. Removal of Process Gas Equipment Marks Portsmouth Site Cleanup...

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

    ... Removal of Process Gas Equipment Marks Portsmouth Site Cleanup Milestone Clearing Away Process Gas Equipment Moves Portsmouth D&D Forward Crane operator Brian Lambert of Fluor-BWXT ...

  17. 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.

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

    Energy Savers [EERE]

    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: ...

  19. 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.

  20. 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.