National Library of Energy BETA

Sample records for forecast date actual

  1. DATE:

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

    POLICY FLASH 2013-45 DATE: April 16, 2013 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and ...

  2. DATE:

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

    61 DATE: June 19, 2013 TO: Procurement Directors FROM: Director Policy Division Office of Procurement and Assistance Policy Office of Acquisition and Project Management SUBJECT: ...

  3. DATE:

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

    5 DATE: April 10, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  4. DATE:

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

    1 DATE: March 10, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  5. DATE:

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

    3-12 DATE: December 7, 2012 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  6. DATE:

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

    4-35 DATE: July 09, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  7. DATE:

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

    36 DATE: April 23, 2012 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management...

  8. DATE:

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

    DATE: February 1, 2012 TO: Procurement Directors FROM: Director, Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Acquisition...

  9. DATE:

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

    38 DATE: May 03, 2012 TO: Procurement Directors FROM: Director, Contract and Financial Assistance Policy Division Office of Policy Office of Procurement and Assistance Management...

  10. DATE:

    Office of Legacy Management (LM)

    -RL5- DATE: September 13, 1990 TO: Alexander Williams (w 39 fusrap6 I FROM: Ed Mitchellzm SUBJECT: Elimination Recommendation for American Machine and Foundry in New York City The...

  11. DATE:

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

    0 By Julia Raymer at 7:58 am, Nov 05, 2013 Nov 05, 2013 DATE: of 1 RPP-RPT-54981, Revision 0 i Table of Contents 1. Summary .................................................................................................................................. 1 2. Introduction ............................................................................................................................. 3 3. Discussion

  12. Date

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

    Template Revised: 6/12/2014 Template Reviewed: 6/12/2014 Operated for the U.S. Department of Energy by Sandia Corporation P.O. Box 5800 MS-1461 Albuquerque, New Mexico 87185-1461 Date Contractor Name Address Attention: Based on our earlier discussions, the Contract Audit Department at Sandia Corporation, which operates Sandia National Laboratories (Sandia) will audit costs incurred through your fiscal year ending XXXXXX on the following contracts placed with your company: Contract(s) Type of

  13. Dated:

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

    cause appearing, IT IS HEREBY ORDERED: 1. The Schedule Scheduling Order is stayed pending execution of a settlement agreement and stipulated final order. Dated: ~ /,/ .,2015 Christopher T. Saucedo Hearing Officer 3 Complainant, v. UNITED STATES DEPARTMENT OF ENERGY, and NUCLEAR WASTE PARTNERSHIP, LLC, Respondents. No. HWB 14-21 (CO) CERTIFICATE OF SERVICE I hereby certify that a copy of the STIPULATED JOINT MOTION TO STAY THE SCHEDULING ORDER has been sent electronically to the following on May

  14. DATE:

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

    POLICY FLASH 2014-35 DATE: July 09, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Rescission of American Recovery and Reinvestment Act Reporting Requirements. SUMMARY: Financial Assistance Letter (FAL) 2014-xx provides COs with: 1) notice of the recession of the reporting requirements for recipients of ARRA funds in accordance with the recently passed P.L. 113- 76,

  15. DATE

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

    2011 Buildings Energy Data Book March 2012 Prepared for the Buildings Technologies Program Energy Efficiency and Renewable Energy U.S. Department of Energy by D&R International, Ltd. under contract to Pacific Northwest National Laboratory This version is dated: March 2012 This document was designed for the internal use of the United States Department of Energy. This document will be occasionally updated and, therefore, this copy may not reflect the most current version. This document was

  16. DATE:

    Office of Environmental Management (EM)

    2-22 DATE: February 1, 2012 TO: Procurement Directors FROM: Director, Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Acquisition Letter AL 2012-07/Financial Acquisition Letter FAL 2012-01 Congressional Notification of Pending Award of a Contract Action, Announcement of Selected Applications for Negotiation of Financial Assistance Awards, or to Award a Financial Assistance Action in Excess of $1 Million SUMMARY: AL 2012-07/FAL 2012-01 (AL/FAL)

  17. DATE:

    Office of Environmental Management (EM)

    3-45 DATE: April 16, 2013 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: DOE Acquisition Guide Chapter 15.1 Source Selection Guide SUMMARY: Attached is a revised Source Selection Guide. The Guide has been updated to reflect changes to DOE policies and practices and includes new topics such as Flow of the Source Selection Process, Source Selection Official Designation,

  18. DATE:

    Office of Legacy Management (LM)

    DATE: AUG 12 1991 REPLY TO ATTN OF: EM-421 (J. Wagoner, 3-8147) SUBIECT: Elimination of the Duriron Company Site TO: The File I have reviewed the attached site summary and elimination recommendation for the Duriron Company Site in Dayton, Ohio. I have determined that there is little likelihood of radioactive contamination at this site. Based on the above, the Ouriron Company Site is hereby eliminated from further consideration under the Formerly Utilized Sites Remedial Action Program. W.

  19. DATE:

    Office of Legacy Management (LM)

    -RL5- DATE: September 13, 1990 TO: Alexander Williams (w 39 fusrap6 I FROM: Ed Mitchellzm SUBJECT: Elimination Recommendation for American Machine and Foundry in New York City The purpose of this note is to provide the following with respect to the former American Machine and Foundry Company (AMF) in New York City, New York--FUSRAP Considered Site Recommendation (g/13/90). 1 he recommendation is to eliminate the AMF New York City sites. If you agree, then please return an "approved"

  20. DATE:

    Office of Legacy Management (LM)

    OOE F 1325.3 m e m o randum DATE: SEP 23 1988 Department of Energy IL_. 9 REPLY TO AlTN OF, NE-23 SUElJECT. Owner Searches for Potential Sites in Chicago IL, (7 TO: W . Cottrell, ORNL 0. Kozlouski, OTS W h ile in Chicago, Illinois, on September 13, 14, and 15, 1988, I drove to the suspected addresses of several potential FUSRAP sites. No owners were contacted during this activity because most of the work was done after normal working hours or while on the way to the airport when tim e would not

  1. DATE:

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

    x JDA 1/31/13 Jan 31, 2013 DATE: 01/31/2013 x Aardal, Janis D Y-Public, See below. Approved for Public Release; Further Dissemination Unlimited By Janis D. Aardal at 1:25 pm, Jan 31, 2013 DOE/RL-2001-41 Revision 6 SITEWIDE INSTITUTIONAL CONTROLS PLAN FOR HANFORD CERCLA RESPONSE ACTIONS AND RCRA CORRECTIVE ACTIONS Prepared for the U.S. Department of Energy Assistant Secretary for Environmental Management P.O. Box 550 Richland, Washington 99352 Approved for Public Release; Further Dissemination

  2. Posting Date: July 16, 2015 Posting Close Date: TBD

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

    July 16, 2015 Posting Close Date: TBD North American Industry Classification System (NAICS) code for the request: 812332 Estimated Subcontract/PO Value TBD Estimated Period of Performance 8-03-15 Estimated RFP/RFQ Release Date: TBD Estimated Award Date: FY 2018 Competition Type: Open Buyer Contact Email: pbeauparlant@lanl.gov Title: Radioactive Laundry and Respirator Services Description of Product or Service Required Radioactive Laundry and Respirator Services * Current forecasted bid

  3. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    7 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: ltmartinez@lanl.gov Title: QA Support Description of Product or Service Required QA Support (Current subcontracts expires 2018) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the forecast matrix to determine if a procurement has been set aside or is open to fair and

  4. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    5 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: m_armijo@lanl.gov Title: Crowdsourcing Description of Product or Service Required Crowdsourcing * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the forecast matrix to determine if a procurement has been set aside or is open to fair and reasonable competition. * LANL

  5. 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....

  6. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    300M Estimated Period of Performance: 5 Years Estimated RFP/RFQ Release Date: 2 nd QTR 2018 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: pia@lanl.gov Title: Staff Augmentation Services Description of Product or Service Required Staff Augmentation Services (Current subcontract expires 2019) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note

  7. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    700K Estimated Period of Performance: TBD Estimated RFP/RFQ Release Date: FY 2018 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: m_armijo@lanl.gov Title: Poly Com Phones Description of Product or Service Required Poly Com Phones (Current subcontracts expires 2019) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the

  8. 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...

  9. 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

  10. 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.

  11. Survey of Variable Generation Forecasting in the West: August 2011 - June 2012

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2012-04-01

    This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

  12. 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 ...

  13. 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...

  14. 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. ...

  15. 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...

  16. Date | Open Energy Information

    Open Energy Info (EERE)

    Date Jump to: navigation, search Properties of type "Date" Showing 48 properties using this type. A Property:ASHRAE 169 End Date Property:ASHRAE 169 Start Date B Property:Building...

  17. 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 ...

  18. 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.

  19. 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.

  20. DATE: | Department of Energy

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

    DATE: DATE: PDF icon DATE: More Documents & Publications Policy Flash 2013-2 Policy Flash 2013-51 311 Notice Aquisition Letter 2013-05 Financial Assistance Letter 2013-03 ...

  1. How People Actually Use Thermostats

    SciTech Connect (OSTI)

    Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

    2010-08-15

    Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

  2. 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...

  3. Posting Date: OPEN Posting Close Date: OPEN

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

    OPEN Posting Close Date: OPEN North American Industry Classification System (NAICS) code for the request: TBD Estimated Subcontract/PO Value: TBD Estimated Period of Performance N/A Estimated RFP/RFQ Release Date: TBD Estimated Award Date: TBD Competition Type: Full Set-Aside Buyer Contact Email: business@lanl.gov Title: General Construction Services Description of Product or Service Required Looking for small business construction companies in all sectors of construction. Must be familiar with

  4. 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

  5. Could Material Defects Actually Improve Solar Cells?

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

    Could Material Defects Actually Improve Solar Cells? Could Material Defects Actually Improve Solar Cells? March 21, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 NRELsolarcell Scientists at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) are using supercomputers to study what may seem paradoxical: certain defects in silicon solar cells may actually improve their performance. The findings, published January 11, 2016 in Applied Physics Letters,

  6. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  7. 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 ...

  8. 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)

  9. 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:...

  10. 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.

  11. 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 ...

  12. 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

  13. 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.

  14. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17

    Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

  15. DATE: REPLY TO

    Office of Legacy Management (LM)

    DOE F 1325.8 (NW ed States Governhent ilmemorandum DATE: REPLY TO ' bPfl29 1993 Al-fN OF: EM-421 (W. W illiams, 903-8149) SUBJECT: Authorization for Remedial Action at the Former...

  16. DATE SUBMITTED: GRADE LEVEL:

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

    two total hours per visit. For more students than that, please plan a visit on another date. To make a request, please complete the form below and submit it to...

  17. SITE-LEVEL SUMMARY (4Q) of FINAL-4TH-QUARTER-FY-2014-SCORECARD...

    Office of Environmental Management (EM)

    ... FORECAST DATE ACTUAL DATE EA DATE STATUS NARRATIVE VARIANCE NARRATIVE REGULATORY AGREEMENT NAME DESIGNATIONS GREEN SHADED DATES ARE 4TH QUARTER FY 2014 MILESTONES ARRA Project: ...

  18. SITE-LEVEL SUMMARY of FINAL-2ND-QUARTER-FY-2014-SCORECARD-02...

    Office of Environmental Management (EM)

    ... FORECAST DATE ACTUAL DATE EA DATE STATUS NARRATIVE VARIANCE NARRATIVE REGULATORY AGREEMENT NAME DESIGNATIONS GREEN SHADED DATES ARE 2ND QUARTER FY 2014 MILESTONES ARRA Project: ...

  19. SITE-LEVEL SUMMARY (2Q) of FINAL-2ND-QUARTER-FY-2015-SCORECARD...

    Office of Environmental Management (EM)

    ... FORECAST DATE ACTUAL DATE EA DATE STATUS NARRATIVE VARIANCE NARRATIVE REGULATORY AGREEMENT NAME DESIGNATIONS GREEN SHADED DATES ARE 2ND QUARTER FY 2015 MILESTONES ARRA Project: ...

  20. SITE-LEVEL SUMMARY (3Q) of FINAL-3RD-QUARTER-FY-2014-SCORECARD...

    Office of Environmental Management (EM)

    ... FORECAST DATE ACTUAL DATE EA DATE STATUS NARRATIVE VARIANCE NARRATIVE REGULATORY AGREEMENT NAME DESIGNATIONS GREEN SHADED DATES ARE 3RD QUARTER FY 2014 MILESTONES ARRA Project: ...

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

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

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

  2. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

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

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

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

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

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

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

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

  5. Intermediate future forecasting system

    SciTech Connect (OSTI)

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

    1983-12-01

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

  6. HEMORANDUH TO: FILE DATE

    Office of Legacy Management (LM)

    HEMORANDUH TO: FILE DATE 1123 lLjl ---WV-------------- FROM: P. s&w+ -------v-----s-- SUBJECT: lJ+ - e;& SITE NAME: LJo"zL - /L,' de Cd -J--h=- ALTERNATE l --e-e-- ------w------- ---,,,' ,m--, NAME: ---------------------- CITY: LL-pL~ ------------ ------------- STATE3 e--w-- OWNER tS) -----w-- Past I --k-!!.l~ -pa L . -v-----w------- Current: Owner contac?-ed 0 yes 0 no; if yes, I+Lff A zid;&m - -------------------------- date contacted ------B--m--- TYPE OF OPERATION

  7. 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

  8. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    PO Value: TBD Estimated Period of Performance: TBD Estimated RFPRFQ Release Date: FY 2016 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email:...

  9. MEMORANDUfl J: FILE DATE

    Office of Legacy Management (LM)

    J: FILE DATE r so ---...w------m FROM: 9. 34oyc -w---...v----- SUBJECT: D3 Bo;s CL&;C J mL-;+J; - Rcc cap 049 'A :j: &336;s L-.fh w-f L-1 ALE"nirTE ---...

  10. 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

  11. 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.

  12. DATE: TO: FROM:

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

    POLICY FLASH 2015-30 DATE: TO: FROM: June 18, 2015 Procurement Directors/Contracting Officers ~~-- Chief Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Clarification on the Drug Testing Custody and Control Form for Department of Energy Contractors SUMMARY: Effective immediately, please ensure that all DOE contractors use the Forensic Drug Testing Custody and Control Form for their drug testing programs to comply with the

  13. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    SciTech Connect (OSTI)

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-02-09

    This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

  14. United States Government DATE:

    Office of Legacy Management (LM)

    5oE(E;,8 ' 0 H .2+ L-1 United States Government DATE: MAR 0 8 1994 REPLY TO AlTN OF: EM-421 (W. A. Williams, 903-8149) SUBJECT: Authority Determination -- Former Herring-Hall-Marvin Safe Co., Hamilton, Ohio TO: The File The attached review documents the basis for determining whether the Department of Energy (DOE) has authority for taking remedial action at the former Herring-Hall-Marvin Safe Co. facility in Hamilton, Ohio, under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The

  15. SPECIAL DATE AND TIME

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

    SPECIAL DATE AND TIME Evolving views of the outer solar system: new insights from NASA's New Horizons mission's historic first Pluto fly-by Dr. Kimberly Ennico Smith NASA Ames Research Center, Astrophysics Branch April 11, 2016 2:00 p.m. - Wilson Hall, One West On July 14, 2015, after a 9.5 year trek across the solar system, NASA's New Horizons spacecraft successfully flew by Pluto and its system of moons, taking imagery, spectra and in-situ particle data. In this internet- information age, this

  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. FY 2013 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 DARM ...

  19. FY 2012 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 DARM ...

  20. Table 13. Coal Production, Projected vs. Actual

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

    Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",999,1021,1041,1051,1056,1066,1073,1081,1087,1098,1107,1122,1121,1128,1143,1173,1201,1223 "AEO 1995",,1006,1010,1011,1016,1017,1021,1027,1033,1040,1051,1066,1076,1083,1090,1108,1122,1137 "AEO

  1. Table 22. Energy Intensity, Projected vs. Actual

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

    Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / $Billion 2005 Chained GDP)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.89145253,10.73335719,10.63428655,10.48440125,10.33479508,10.20669515,10.06546105,9.94541493,9.822393757,9.707148466,9.595465524,9.499032573,9.390723436,9.29474735,9.185496812,9.096176848,9.007677565,8.928276581 "AEO

  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. Environmental Compliance Performance Scorecard ¬タモ Fourth...

    Office of Environmental Management (EM)

    ... Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION BASELINE COMPLETION DATE STATUS NARRATIVE VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE FINAL ...

  5. Environmental Compliance Performance Scorecard ¬タモ Third...

    Office of Environmental Management (EM)

    ... GREEN SHADED DATES ARE 3RD QUARTER FY 2010 MILESTONES ARRA Project: N BRNL-0030-003 ... National Laboratory VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT ...

  6. Environmental Compliance Performance Scorecard ¬タモ First...

    Office of Environmental Management (EM)

    ... Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION BASELINE COMPLETION DATE FORECAST DATE ACTUAL DATE STATUS NARRATIVE ...

  7. Environmental Compliance Performance Scorecard ¬タモ Fourth...

    Office of Environmental Management (EM)

    ... Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION BASELINE COMPLETION DATE FORECAST DATE ACTUAL DATE STATUS NARRATIVE ...

  8. 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

  9. 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

  10. Designing Auction-Based PV Incentives

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

    ... Incentive payment, reporting and forecasting alignment - Forecast of future year incentive payments challenged by project in-service dates and actual production 7 Helping Utilities ...

  11. Wind Power Forecasting Error Frequency Analyses for Operational Power System Studies: Preprint

    SciTech Connect (OSTI)

    Florita, A.; Hodge, B. M.; Milligan, M.

    2012-08-01

    The examination of wind power forecasting errors is crucial for optimal unit commitment and economic dispatch of power systems with significant wind power penetrations. This scheduling process includes both renewable and nonrenewable generators, and the incorporation of wind power forecasts will become increasingly important as wind fleets constitute a larger portion of generation portfolios. This research considers the Western Wind and Solar Integration Study database of wind power forecasts and numerical actualizations. This database comprises more than 30,000 locations spread over the western United States, with a total wind power capacity of 960 GW. Error analyses for individual sites and for specific balancing areas are performed using the database, quantifying the fit to theoretical distributions through goodness-of-fit metrics. Insights into wind-power forecasting error distributions are established for various levels of temporal and spatial resolution, contrasts made among the frequency distribution alternatives, and recommendations put forth for harnessing the results. Empirical data are used to produce more realistic site-level forecasts than previously employed, such that higher resolution operational studies are possible. This research feeds into a larger work of renewable integration through the links wind power forecasting has with various operational issues, such as stochastic unit commitment and flexible reserve level determination.

  12. Posting Date: 3/15/2016 Posting Close Date: 4

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

    3/15/2016 Posting Close Date: 4 th QTR 2016 North American Industry Classification System (NAICS) code for the request: 236210 Estimated Subcontract/PO Value: TBD Estimated Period of Performance: TBD Estimated RFP/RFQ Release Date: 4 th QTR 2016 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: shanej@lanl.gov Title: Transuranic (TRU) Liquid Waste (TLW) Project Description of Product or Service Required The Transuranic (TRU) Liquid Waste (TLW) Project is a congressionally

  13. Caustic-Side Solvent Extraction: Prediction of Cesium Extraction for Actual Wastes and Actual Waste Simulants

    SciTech Connect (OSTI)

    Delmau, L.H.; Haverlock, T.J.; Sloop, F.V., Jr.; Moyer, B.A.

    2003-02-01

    This report presents the work that followed the CSSX model development completed in FY2002. The developed cesium and potassium extraction model was based on extraction data obtained from simple aqueous media. It was tested to ensure the validity of the prediction for the cesium extraction from actual waste. Compositions of the actual tank waste were obtained from the Savannah River Site personnel and were used to prepare defined simulants and to predict cesium distribution ratios using the model. It was therefore possible to compare the cesium distribution ratios obtained from the actual waste, the simulant, and the predicted values. It was determined that the predicted values agree with the measured values for the simulants. Predicted values also agreed, with three exceptions, with measured values for the tank wastes. Discrepancies were attributed in part to the uncertainty in the cation/anion balance in the actual waste composition, but likely more so to the uncertainty in the potassium concentration in the waste, given the demonstrated large competing effect of this metal on cesium extraction. It was demonstrated that the upper limit for the potassium concentration in the feed ought to not exceed 0.05 M in order to maintain suitable cesium distribution ratios.

  14. Posting Date: July 16, 2015 Posting Close Date: TBD

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

    July 16, 2015 Posting Close Date: TBD North American Industry Classification System (NAICS) code for the request: 812332 Estimated SubcontractPO Value TBD Estimated Period of...

  15. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    7 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: Itmartinez@lanl.gov Title: QA Support Description of Product or Service Required QA Support (Current...

  16. 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,

  17. Dates Fact Sheet.cdr

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

    Concept DATES is a detection and security information/event management (SIEM) solution enabling asset owners to protect their energy control systems at the network, host, and device level from cyber attacks. DATES complements traditional, signature-based detection with multiple detection algorithms, including model- based and flow anomaly detection and cross-site attack correlation. The DATES detection and SIEM solution gives operators succinct and intuitive attack visualization, with attacks

  18. Dates Fact Sheet.cdr

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

    The DATES monitoring platform uses multiple algorithms to examine packet headers, including a Snort sensor enhanced with a SCADA-aware rule set, stateful protocol analysis, and a ...

  19. FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting

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

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 DARM Transmittal Letter and Attachment Final.pdf (406.93 KB) More Documents & Publications FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement Real Property Maintenance Reporting Requirement Memorandum (July 13, 2010)

  20. Property:Deployment Date | Open Energy Information

    Open Energy Info (EERE)

    Deployment Date Jump to: navigation, search Property Name Deployment Date Property Type String Retrieved from "http:en.openei.orgwindex.php?titleProperty:DeploymentDate&oldid...

  1. Property:Achievement Date | Open Energy Information

    Open Energy Info (EERE)

    Achievement Date Jump to: navigation, search Property Name Achievement Date Property Type String Retrieved from "http:en.openei.orgwindex.php?titleProperty:AchievementDate&ol...

  2. 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

  3. 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

  4. Home Energy Score: Analysis & Improvements to Date

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

    Home Energy Score: � Analysis & Improvements to Date � Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 24, 2012 1 eere.energy.gov Presentation Overview 1) Background 2) Program Improvements 3) Analysis: Efficacy of Tool & Program - Asset Perturbations - Behavior Perturbations - Estimated Energy Use vs. Actual Energy Use (from utility bills) - Time Required for Assessment and Scoring - Blower Door Test Analysis 4) Next Steps & Ongoing Analysis 2

  5. 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.

  6. 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:...

  7. 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 ...

  8. 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...

  9. NREL: Resource Assessment and Forecasting - Webmaster

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

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

  10. 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 ...

  11. 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 ...

  12. Date centerdTimes New Roman

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

    ... what is forecast in the plan. This occurred because LBNL did not adequately ensure that Recovery Act spending yielded the optimum benefit to the Department. The GPP Project ...

  13. Date centerdTimes New Roman

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

    ... Ratepayer Dollars to support its acquisitions and ensuring that forecasting was part of its procurement process, ratepayer dollars may not have been used in a cost effective manner. ...

  14. 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

  15. DATE

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

    Standards and Corrective Action Requirements for Owners and Operators of Underground Storage Tanks"). These actions do not include rebuilding or modifying substantial portions of...

  16. DATE

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

    with a pressure relief valve that discharges to the gas flare or fume hood exhaust. ... from the hydrogen line pressure relief valve to prevent uncontrolled accumulation or ...

  17. DATE

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

    Air System Drain Line Modification and Valve Replacement SECTION B. Project ... on M-6, M-8 and M-9; install a new check valve in the compressed air system auxiliary ...

  18. Date:

    Office of Legacy Management (LM)

    Tetra Tech developed design flow rates from these rainfall depths and evaluated the ... Design precipitation depths of 3.7 and 5.5 inches yielded runoff depths of 2.3 and 3.9 ...

  19. DATE

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

    The cooling unit will be specified to meet ASHRAE 90.1, "Energy Standard for Buildings Except Low-Rise Residential Buildings" or "DOE Energy Star" as appropriate. SECTION D. ...

  20. DATE

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

    4 SECTION A. Project Title: In situ Raman Spectroscopy to Enhance Nuclear Materials Research and Education - University of Nevada Reno SECTION B. Project Description The University ...

  1. DATE

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

    removed would be evaluated (mercury switches) and managed appropriately. Polychlorinated Biphenyls (PCBs) may be encountered in items painted prior to 1980. All waste would be ...

  2. DATE

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

    ... Any switches that are removed would be evaluated (mercury switches) and managed appropriately. Polychlorinated Biphenyls (PCBs) and lead may be encountered in items painted prior ...

  3. DATE:

    Office of Legacy Management (LM)

    Ohio TO: W. Seay, DOE Oak Ridge Field Office The former Associate Aircraft Tool and Manufacturing, Inc., site at 3660 Dixie Highway, Fairfield, Ohio, is designated for remedial...

  4. DATE

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

    successfully form dense U 3 Si 2 pellets with a density greater than 94% of theoretical. ... apparatus into dense ceramic pellets for characterization by spark plasma sintering. ...

  5. DATE

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

    A container(s) of hazardous debris andor RLS is placed inside the macrobagliner system and void space filler (e.g. vermiculite, foam pellets, etc.) is added to fill the package ...

  6. DATE:

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

    has been revised. The subject form has been posted on the DOE Financial Assistance web page on the Recipients Page under the Financial Assistance Forms and Information for...

  7. DATE

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

    water system and will be coated on both exterior and interior surfaces to prevent corrosion. All valves and lines will be closed off to the construction area until the new tank...

  8. DATE

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

    09 SECTION A. Project Title: High Temperature Melt Solution Calorimeter: The Thermodynamic Characterization of Oxides n Nuclear Energy - Clemson University SECTION B. Project...

  9. DATE

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

    The craftsmen also need another wash sink in the East Bay. The current method of ... The East Bay will require a new power panel with power run from the main distribution ...

  10. DATE

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

    generate high fidelity thermal stratification and flow field data under various geometric and physical conditions for scaled modes of outlet plena in sodium-cooled fast reactors. ...

  11. DATE

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

    CX Posting No.: DOE-ID-INL-10-008 SECTION A. Project Title: Maintenance and Modification ... provide corrective and preventative maintenance that would prevent or minimize future ...

  12. DATE

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

    SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The ... types of actions, such as routine maintenance, minor modifications, and custodial ...

  13. Dated:

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

    CERTIFICATE OF SERVICE I hereby certify that a copy of the STIPULATED JOINT MOTION TO STAY THE SCHEDULING ORDER has been sent electronically to the following on May 12, 2015:...

  14. DATE

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

    This security building is located on Taylor Blvd approximately one mile south of the Materials and Fuels Complex (MFC) and already houses a Vehicle Explosives Detection System...

  15. DATE

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

    6-002 SECTION A. Project Title: Experimental Verification of Post-Accident iPWR Aerosol Behavior - Electric Power Research Institute, Inc. SECTION B. Project Description EPRI ...

  16. DATE

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

    ... Transuranic elements are accumulated in the electrorefining salt and extracted as a uraniumtransuranicrare earth product using a liquid cadmium cathode (LCC) in order to acquire ...

  17. DATE

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

    Manufacturability of Oxide Dispersion Strengthened Structural Materials for Nuclear Reactor Applications - Northwestern University SECTION B. Project Description Northwestern ...

  18. DATE

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

    WAI will provide ecological support to DOE-ID for land and wildlife management issues. WAI ... WaterWell Use - Use of waterwell is concurrent with the Experimental Field Station. Work ...

  19. DATE

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

    a civilian reactor station, the Light Water Breeder Reactor for the Shippingport Station. ... DOE-ID NEPA CX DETERMINATION IDAHO NATIONAL LABORATORY Page 2 of 3 CX Posting No.: ...

  20. DATE

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    at Raft River by the United States Geological Survey (USGS) in non-INL related work ... INL will collect samples of the tracers prior to injection to verify concentration, ...

  1. DATE

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

    References: B1.31 Installation or relocation and operation of machinery and equipment (including, but not limited to, laboratory equipment, electronic hardware, manufacturing ...

  2. DATE

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

    ... References: B1.31 Installation or relocation and operation of machinery and equipment (including, but not limited to, laboratory equipment, electronic hardware, manufacturing ...

  3. DATE:

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

    Corporations Section 743 Any Payment for the Election for a Federal Office or to a Political Committee Section 3003 Reporting on Conference Spending 2 The FAL addresses the ...

  4. DATE

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    Team. The subcontractor will be required to have spill control equipment on site. A propane tank that will be relocated from CFA-666 to CFA-661 will have it's location...

  5. DATE

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

    environments. SECTION C. Environmental Aspects Potential Sources of Impact The action consists of purchasing equipment to be used in research and teaching. The action would...

  6. DATE

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

    evaluate cladding materials that may be used in more advanced accident tolerant fuels. ... consists of research and development on new cladding materials for accident tolerant fuels

  7. DATE

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

    the behavior and strength of modular steel-plate composite (SC) slabs and floor ... of Impact The research would involve assessing modular steel-plate composite performance. ...

  8. DATE

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    historical significance must receive a clearance before beginning the activity-see http:... historical significance must receive a clearance before beginning the activity-see http:...

  9. DATE

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    include: 1. Physically relocate the RDM cabinet from CPP-684 to CPP-663. 2. Refurbish trailer TR-81 to accommodate wastewater laboratory activities currently being performed...

  10. DATE

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

    to purchase and install the equipment necessary to develop and benchmark a non-invasive velocity measurement technique for salt based on short-lived activation products...

  11. DATE

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    The ATR building has a 40-ton bridge and trolley crane used to lift ATR experiment casks ... The largest cask currently handled by the 40-ton reactor-building crane is the O. G. ...

  12. DATE

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

    structure, transfer car, and overhead crane in the south corridor of building CPP-603 ... of the facility structure and existing crane rails for installation of two new 75 Ton ...

  13. DATE

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    Testing & Molten Chloride Fast Reactor Development - Southern Company Services, Inc. ... readiness of the Molten Chloride Fast Reactor (MCFR) technology under development by ...

  14. DATE

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    12 SECTION A. Project Title: Reactor Power Up Rate, Compressor Replacement, Neutron ... compressor to improve reliability of the reactor operation and purchase a liquid ...

  15. DATE

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    42 SECTION A. Project Title: Innovative Manufacturing Process for Improving the Erosion/Corrosion Resistance of Power Plant Components via Powder Metallurgy & Hot Isostatic Processing Methods - Electric Power Research Institute SECTION B. Project Description The objective of this project is to conduct the necessary design, processing, manufacturing, and validation studies to assess powder metallurgy/hot isostatic processing (PM/HIP) as a method to produce very large near-net shaped (NNS)

  16. DATE

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    2 SECTION A. Project Title: Development of a Research and Education Facility for Evaluation of Environmental Degradation of Advanced Nuclear Materials in Simulated LWR Conditions - University of Idaho SECTION B. Project Description The University of Idaho proposes to a) upgrade the existing static autoclave system in order to simulate the light water reactor conditions without contaminating the high temperature waster with corrosion products; b) install a rotating a cylinder system in the

  17. DATE

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    5 SECTION A. Project Title: Nuclear Materials Science and Instrumentation Research Infrastructure Upgrade at Pennsylvania State University SECTION B. Project Description Pennsylvania State University proposes to purchase and install an inductively coupled plasma - atomic emission spectrometer (ICP- AES), glass melting furnace and crucible, and data acquisition system for use in research and education. SECTION C. Environmental Aspects / Potential Sources of Impact Chemical Use/Storage / Chemical

  18. DATE

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    8 SECTION A. Project Title: Integrated Approach to Fluoride High Temperature Reactor (FHR) Technology and Licensing Challenges - Georgia Tech SECTION B. Project Description Georgia Tech, in collaboration with Ohio State University, Texas A&M, Texas A&M - Kingsville, Oak Ridge National Laboratory and several industry and international partners, proposes to follow an integrated approach to address several key technology gaps associated with fluoride high temperature reactors, thereby

  19. DATE

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    4 SECTION A. Project Title: Solving Critical Challenges to Enable the Xe-100 Pebble Bed Advanced Reactor Concept - X Energy, LLC SECTION B. Project Description X Energy, in collaboration with BWXT Nuclear Energy, Inc. (BWXT), Oak Ridge National Laboratory (ORNL), Idaho National Laboratory (INL), and Oregon State University (OSU), proposes to leverage prior and current DOE programs and previous Xe-100 design investments to further key pebble-bed high temperature gas-cooled reactor (HTGR)

  20. DATE

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    5 SECTION A. Project Title: DOE-EM Traineeship in Robotics - Carnegie Mellon University SECTION B. Project Description Carnegie Mellon University (CMU) proposes to develop an Environmental Management (EM) Traineeship in robotics. The traineeship will build on the existing core robotics curricula while introducing specialized topics that ensure a thorough understanding of EM-relevant concerns. The proposed program will also incorporate supervised research opportunities with CMU faculty advisors

  1. DATE

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    07 SECTION A. Project Title: Experimentally Validated Computational Modeling of Creep and Creep-Cracking for Nuclear Concrete Structures - Texas Engineering Experiment Station (TEES - TAMU) SECTION B. Project Description Texas A&M University proposes to 1) devise new, 3D concrete material constitutive models base on 3D creep and cracking experiments, 2) establish an improved large-scale structural modeling approach that considers full 3D stress fields rather than plane stress as has been

  2. DATE

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    2 SECTION A. Project Title: CFA-16-12043: Using Radioiodine Speciation to Address Environmental Remediation and Waste Stream Sequestration Problems at the Fukushima Daiichi Nuclear Power Plant and a DOE Site, MS-EM-1: Radioactive Waste Management - Texas A&M University - Galveston SECTION B. Project Description Texas A&M University - Galveston proposes to 1) measure radioiodine speciation to provide information that will be used in the development of species-specific stabilization

  3. DATE

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    3 SECTION A. Project Title: Development and Integration of Light Water Reactor (LWR) Materials Corrosion Degradation Codes into Grizzly - University of California at Berkeley SECTION B. Project Description The University of California, Berkeley proposes to develop deterministic, physico chemical models for predicting the accumulation of localized corrosion damage in the primary coolant circuits of the currently operating fleet of light water reactors. The successful modeling of the accumulation

  4. DATE

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    4 SECTION A. Project Title: CFA-16-10285: Tribological Damage Mechanisms from Experiments and Validated Simulations of Alloy 800H and Inconel 617 in a Simulated HTGR/VHTR Helium Environment - Purdue University SECTION B. Project Description Purdue University proposes to perform a series of tribological experiments on Alloy 800H and Inconel 617 in a simulated He environment with controlled concentrations of gaseous species follow by microstructure characterization using electron microscopy,

  5. DATE

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    5 SECTION A. Project Title: Integrated Computational Materials Engineering (ICME) and In-site Process Monitoring for Rapid Qualification of Components Made by Laser-Based Powder Bed Additive Manufacturing (AM) Processes for Nuclear Structural and Pressure Boundary Applications - Electric Power Research Institute SECTION B. Project Description The Electric Power Research Institute (EPRI) proposes to develop an innovative qualification strategy for complex nuclear components produced by laser

  6. DATE

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    6 SECTION A. Project Title: Online Monitoring System for Concrete Structures Affected by Alkali-Silica Reaction (ASR) - University of Nebraska, Lincoln SECTION B. Project Description The University of Nebraska, in collaboration with the University of Alabama, proposes to develop and employ two highly sensitive active and passive stress wave sensing techniques and advanced signal processing algorithms to monitor and quantify alkali-silica reaction-induced microcracking damage in concrete. SECTION

  7. DATE

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    8 SECTION A. Project Title: Feasibility of Combined Ion-Neutron Irradiation for Accessing High Dose Levels - University of Michigan SECTION B. Project Description The University of Michigan, in collaboration with the Oak Ridge National Laboratory (ORNL), proposes to assess the feasibility of re-irradiating existing neutron irradiated alloys 304SS and 316SS to high dose levels using ion irradiation, for the purpose of achieving microstructures that represent those from reactor irradiation to

  8. DATE

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    19 SECTION A. Project Title: Validation of RELAP-7 for forced convection and natural circulation reactor flows - University of Illinois at Urbana-Champaign SECTION B. Project Description The University of Illinois at Urbana-Champaign proposes to aid in the development of RELAP-7 through required experimental and computational efforts. The validation of the two-phase modeling capability of RELAP-7 will be accomplished through a series of tasks which include synthesis of existing forced convective

  9. DATE

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    0 SECTION A. Project Title: Overcoming Kinetic Barriers to Actinide Recovery in ALSEP - Colorado School of Mines SECTION B. Project Description The Colorado School of Mines, in collaboration with the Argonne National Laboratory, proposes to test the hypothesis that slow kinetics in the solvent separation process ALSEP and its related separation systems, for the recovery of Am from the fission product lanthanide elements, originate in the poor ability of the aqueous complexants to penetrate and

  10. DATE

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    2 SECTION A. Project Title: Immobilization of High-Level Waste Salt in Dechlorinated Zeolite Waste Forms - University of Utah SECTION B. Project Description The University of Utah, in collaboration with Idaho National Laboratory, proposes to evaluate the main challenges associated with the disposal of electrorefiner salt: maximization of fission products in a final waste form and the associated processing costs. The proposed research will focus on two main objectives to overcome these process-

  11. DATE

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    3 SECTION A. Project Title: ASME Code Application of the Compact Heat Exchanger for High Temperature Nuclear Service - North Carolina State University SECTION B. Project Description North Carolina State University proposes to characterize the high temperature materials properties of a diffusion welded laminated structure and to develop the ASME Code methodologies for preventing failure of a printed channel and hybrid compact heat exchangers under sustained and cyclic pressure and thermal loading

  12. DATE

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    4 SECTION A. Project Title: Integral System Testing for Prismatic Block Core Design HTGR - Oregon State University SECTION B. Project Description Oregon State University proposes to complete eight integral thermal-fluid tests investigating a range of gas reactor events. This is planned as a two-year project and will be conducted in a gas-reactor thermal-fluid facility that is already in operation. The overall objective of the test program will be to collect data that will fully cover the

  13. DATE

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    28 SECTION A. Project Title: Localized Imaging, Surveying and Mapping for Nuclearized Underwater Robots - Carnegie Mellon University SECTION B. Project Description Carnegie Mellon University proposes to develop, demonstrate, and infuse a leap of sensing, robotics, spatial positioning and visualization capability into underwater nuclear operations relevant to DOE environmental management. The program will develop and demonstrate a prototype robotic system to maneuver in a water-filled basin,

  14. DATE

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    30 SECTION A. Project Title: Additive Manufacturing of Functional Materials and Sensor Devices for Nuclear Energy Applications - Boise State University SECTION B. Project Description Boise State University proposes to procure an aerosol jet printer and establish additive manufacturing capability to accelerate research and development of integrated sensor systems for nuclear energy applications. Procuring a versatile aerosol jet printer that can directly print functional semiconductors, metals,

  15. DATE

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    2 SECTION A. Project Title: An Integrated Multiscale Experimental-Numerical Analysis on Reconsolidation of Salt-Clay Mixture for Disposal of Heat-Generating Waste - Columbia University SECTION B. Project Description Columbia University, in collaboration with Sandia National Laboratory, proposes to improve the understanding of the thermal- hydrological-mechanical-chemical (THMC) coupling effect on the reconsolidation of granular salt-clay mixture used for the seal systems of shafts and drifts in

  16. DATE

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    4 SECTION A. Project Title: Integration of Microwave Readout into Nuclear Process Monitoring - University of Colorado, Boulder SECTION B. Project Description The University of Colorado, in collaboration with Los Alamos National Laboratory and Savannah River National Laboratory, proposes to demonstrate that high-resolution γ-ray spectroscopy, based on emerging microcalorimeter sensors, can determine elemental and isotopic fractions with accuracy comparable to much slower mass spectrometry and

  17. DATE

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    5 SECTION A. Project Title: Calorimeter for Nuclear Energy Teaching and Research - Washington State University SECTION B. Project Description Washington State University proposes to purchase and setup a new calorimeter for use with radioactive material at the university. The project would improve the capability of the university's Department of Chemistry for nuclear-related teaching and research. SECTION C. Environmental Aspects / Potential Sources of Impact The action consists of purchasing

  18. DATE

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    6 SECTION A. Project Title: Fission Product Transport in TRISO Fuel - University of Michigan SECTION B. Project Description The University of Michigan, in collaboration with Idaho National Laboragtory, proposes to measure diffusion coefficients of fission products in SiC under thermal and irradiation conditions, as well as, synergistic effects of radiation damage, and fission products behavior at the IPyC/SiC interface. The project will use a multi-layered diffusion couple developed at a NSUF

  19. DATE

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    7 SECTION A. Project Title: Development of a Comprehensive Two-phase Flow Database for the Validation of NEK-2P - Virginia Tech SECTION B. Project Description Virginia Polytechnic Institute and State University, in collaboration with Ohio State University and Argonne National Laboratory, proposes to perform detailed uncertainty quantification to determine the applicable ranges and associated measurement uncertainties in simulated two-phase boiling flows. The best combination of these techniques

  20. DATE

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    8 SECTION A. Project Title: Feasibility of Combined Ion-Neutron Irradiation for Accessing High Dose Levels - Florida International University SECTION B. Project Description Florida International University, in collaboration with the Idaho National Laboratory (INL), proposes to achieve the separation of Am from lanthanides by electrochemical oxidation of Am(III) to its higher oxidation states, Am(V) and AM(VI), through the design, and testing of new high surface area electrodes and porous sorbent

  1. DATE

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    40 SECTION A. Project Title: Quantifying Properties for a Mechanistic, Predictive Understanding of Aqeous Impact on Ageing of Medium and Low Voltage AC and DC Cabling in Nuclear Power Plants - University of Minnesota, Duluth SECTION B. Project Description The University of Minnesota, Duluth proposes to develop a mechanistic, predictive model for medium and low voltage cable failure based on the primary environmental degradation parameters of aqueous immersion time, temperature, and the oxidation

  2. DATE

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    1 SECTION A. Project Title: Development of Reactor Thermal-Hydraulics and Safety Research Facilities at Kansas State University SECTION B. Project Description Kansas State University proposes to purchase advanced instrumentation for thermalhydraulics and reactor safety-related fundamental experiments. This instrumentation includes a high-speed multispectral infrared imaging system, a high-speed imaging system capable of recording up to 500,000 frames per second for flow visualization, a laser

  3. DATE

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    3 SECTION A. Project Title: An Experimental Study of Design and Performance for the Water-based Reactor Cavity Cooling System - Texas A&M University SECTION B. Project Description Texas A&M University, in collaboration with the University of Wisconsin and Ultra Safe Nuclear Corporation, proposes to extend and enhance the experimental tests previously conducted using the existing water-cooled Reactor Cavity Cooling System (RCCS) in close collaboration with the water-cooled research team

  4. DATE

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    4 SECTION A. Project Title: Wireless Reactor Power Distribution Measurement System Utilizing an In-Core Radiation and Temperature Tolerant Wireless Transmitter and a Gamma-Harvesting Power Supply - Westinghouse Electric Company SECTION B. Project Description Westinghouse Electric Company, in collaboration with the Pennsylvania State, proposes to design, manufacture, and operate a vacuum micro-electronic- (VME) based wireless transmitter that continuously broadcasts vanadium self-powered neutron

  5. DATE

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    5 SECTION A. Project Title: CFD and System Code Benchmark Data for Plenum-to-Plenum Flow Under Natural Mixed and Forced Circulation Conditions SECTION B. Project Description The project will conduct computer modeling, as well as experimental initiatives. The experimental initiatives include modifications to the current Utah State University experimental wind tunnel to evaluate flows and buoyancy-driven phenomena present in Very High Temperature Reactors during Loss of flow accident conditions.

  6. DATE

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    8 SECTION A. Project Title: Earth Abundant High Temperature Materials for Radiological Power Conversion System SECTION B. Project Description The project consists of performing research and development using earth abundant elements to increase efficiencies to 20-30% through solid state alloying and composites of high temperature materials, thereby improving thermoelectric generator system performance without the need to invest in a single-purpose supply chain. Earth abundant high temperature

  7. DATE

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    49 SECTION A. Project Title: Tribological Behavior of Structural Materials in High Temperature Helium Gas-Cooled Reactor Environments SECTION B. Project Description The project will investigate the wear mechanisms of surface treatments for alloys 800H and 617 will be investigated to: (i) mitigate tribological damage in High Temperature Gas Reactor (HTGR) environments, (ii) minimize sensitivity of corrosion to various impurity regimes and provide greater predictability in wear behavior, (iii)

  8. DATE

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    1 SECTION A. Project Title: Effect of Gamma Irradiation on the Microstructure and Mechanical Properties of Nano-modified Concrete - Vanderbilt University SECTION B. Project Description Vanderbilt University, in collaboration with Oak Ridge National Laboratory, proposes to perform gamma irradiation of nano-modified concrete and appropriate control reference samples that are also relevant to current and historic concrete mixes. The research plan will consist of multiscale chemical and mechanical

  9. DATE

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    3 SECTION A. Project Title: CFA-16-10885: Turbulent MHD flow modeling in annular linear induction pumps with validation experiments SECTION B. Project Description The scope of work consists of modeling and constructing an experimental flow loop facility and diagnostic tools to benchmark to refine and validate the predictions of computational fluid mechanics analyses. This task also involves fabrication of a modular annular linear induction pump (ALIP) pump that, combined with the added

  10. DATE

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

    4 SECTION A. Project Title: Thermal Hydraulic & Structural Testing and Modeling of Compact diffusion-bonded heat exchanges for Supercritical CO2 Brayton Cycles SECTION B. Project Description The primary focus of this research proposal would be on validating and verifying the structural integrity of continuous channel -type PCHEs such as the Heatric zig/zag or Marbond (otherwise known as Shimtec) continuous micro-channel heat exchanger opposed to fin-type geometries. The proposed research

  11. DATE

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    5 SECTION A. Project Title: Enhancing Irradiation Tolerance of Steels Via Nanostructuring by Innovative Manufacturing Techniques - Idaho State University SECTION B. Project Description Idaho State University, in collaboration with Idaho National Laboratory, proposes to enhance the fundamental understanding of irradiation effects in ultrafine-grained or nanocrystalline steels produced by equal-channel angular pressing (ECAP) or high-pressure torsion (HPT), and to assess the potential application

  12. DATE

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    7 SECTION A. Project Title: A Science Based Approach for Selecting Dopants in FCCI-Resistant Metallic Fuel Systems SECTION B. Project Description The goal of this project is to identify minor alloying additions (dopants) for minimizing or eliminating the effect of fuel cladding chemical interactions (FCCI) in fast reactor metallic fuels. The proposed program combines the following research tasks: i) Selection of dopant elements based on using electronic structure calculated thermokinetic and

  13. DATE

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    8 SECTION A. Project Title: Versatile D-T Neutron-Generation System for Fast-Neutron Research and Education - Pennsylvania State University SECTION B. Project Description Pennsylvania State University proposes to acquire an Adelphi dual-tube 14-MeV Deuterium-Tritium (D-T) neutron-generation system. One tube has a neutron output of 10 8 n/sec, and the other tube has a neutron output of 10 10 n/sec. the lower-neutron-output part of the system will provide a capability to accurately detect the

  14. DATE

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

    0 SECTION A. Project Title: Self-powered Wireless Through-wall Data Communication for Nuclear Environments SECTION B. Project Description The proposed action consists of developing and demonstrating an enabling technology for the data communications for nuclear reactors and fuel cycle facilities using radiation and thermal energy harvesters, through-wall ultrasound communication, and harsh environment electronics. Specifically, the consist of three actions: (1) Directly harvest electrical energy

  15. DATE

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    2 SECTION A. Project Title: Understanding fundamental science governing the development and performance of nuclear waste glasses SECTION B. Project Description This proposal aims to combine the strengths of experimental and computational materials science to address four difficult technical challenges related to development and performance of glass based radioactive waste forms. The project consists of four tasks: 1. Understanding the fundamental science governing the nucleation and growth of

  16. DATE

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

    3 SECTION A. Project Title: Microstructure, Thermal, and Mechanical Properties Relationships in U and UZr Alloys SECTION B. Project Description The proposed research will use the state-of-the-art, 3D, synchrotron-based characterization techniques, novel techniques that couple thermal and mechanical properties, existing experimental facilities, and complementary multiscale modeling to evaluate microstructure-properties relationships (both thermal and mechanical) in U and UZr alloys that have been

  17. DATE

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    5 SECTION A. Project Title: Cask Mis-Loads Evaluation Techniques SECTION B. Project Description The main objective of this project is to develop a probabilistically-informed methodology, which involves innovative non- destructive evaluation (NDE) techniques, to determine the extent of potential damage or degradation of internal components of used nuclear fuel canisters/casks during normal conditions of transport or Hypothetical accident conditions. The University of Houston will use NDE based on

  18. DATE

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    7 SECTION A. Project Title: Research and teaching equipment for nuclear materials characterization SECTION B. Project Description The proposal to upgrade the UC Berkeley teaching and research laboratory's to enhance the understanding of mechanical and physical properties of nuclear materials on all length scales. Purchasing state-of-the-art equipment dedicate to be used on active materials allows to investigate reactor and ion beam irradiated materials to enhance accelerated materials testing

  19. DATE

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    0 SECTION A. Project Title: High Temperature Tribological Performance of Ni Alloys Under Helium Environment for Very High Temperature Gas Cooled Reactors (VHTRs) [RC-2.3] Helium Tribology for HTGRs - Texas A&M University SECTION B. Project Description Texas A&M University proposes to systematically evaluate the tribological response of 800H and 617 alloys at relevant reactor operating temperatures (700 o -950 o C) and in the presence of helium coolant. To achieve this objective, the

  20. DATE

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    1 SECTION A. Project Title: Experimental and Computational Studies of NEAMS Pebble Bed Reactors - Texas A&M University SECTION B. Project Description Texas A&M University proposes to perform a coordinated experimental and computational effort to quantitatively map the full-field 3-D velocity and temperature fields in the interstitial spaces within a pebble bed. The project will measure in-situ velocity and temperature distributions within a pebble bed flow system using state-of-the-art

  1. DATE

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    2 SECTION A. Project Title: Mobile Manipulation and Survey System for H-Canyon and Other Applications Across the DOE Complex - University of Texas SECTION B. Project Description The University of Texas, in collaboration with the University of Florida, Florida International University, AREVA, and Savannah River National Laboratory, proposes to develop a hybrid mobile platform capable of maneuvering using wheels, treads or articulated legs to perform inspections and collect data in the H-Canyon

  2. DATE

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    3 SECTION A. Project Title: Upgrade of the MIT Research Reactor's Post Irradiation Examination (PIE) Capabilities - Massachusetts Institute of Technology SECTION B. Project Description The Massachusetts Institute of Technology proposes to purchase and install sample sectioning and polishing equipment and optical and electon microscopes to improve the MIT Research Reactor post-irradiation examination facilities. This will provide for preparation and initial characterization of activated materials

  3. DATE

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    4 SECTION A. Project Title: Understand the Phase Transformation of Thermally Aged and Neutron Irradiated Duplex Stainless Steels Used in LWRs - University of Florida SECTION B. Project Description The University of Florida, in collaboration with Argonne National Laboratory (ANL), proposes to use the capability of the high energy X-ray MRCAT facility at ANL, including X-ray diffraction (XRD), Extended X-ray Absorption Fine Structure Specroscopy (EXAFS) and in-situ tensile testing with wide angle

  4. DATE

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    6 SECTION A. Project Title: Two-Phase Flow Facility for Dynamic Characterization of Thermal Hydraulics in Light Water Reactors - Texas A&M University SECTION B. Project Description Texas A&M University proposes to construct an experimental facility that will enable single and two-phase flow experimental data to be acquired in a 3x3 fuel rod array under a wide range of steady-state and transient conditions. The neutronic behavior of a light water reactor will be simulated in real-time and

  5. DATE

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    8 SECTION A. Project Title: Mechanistic Understanding of Silver Sorbent Aging Processes in Off-Gas Treatment - Syracuse University SECTION B. Project Description Syracuse University proposes to develop an understanding of the different mechanisms of silver-aging processes on adsorbents exposed to off-gas streams to enable prediction of long-term operation of gas treatment systems. Experiments to be conducted on silver-exchanged mordenite (Ag0Z) and silver-functionalized silica aerogel

  6. DATE

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    0 SECTION A. Project Title: Alloying Agents to Stabilize Lanthanides Against Fuel Cladding Chemical Interaction: Tellurium and Antimony Studies - Ohio State University SECTION B. Project Description Ohio State University proposes to develop new minor additives which can form high-temperature stabilizing compounds with lanthanide fission products during operation. The proposed additives are expected to have the capability of immobilizing lanthanide fission products and preventing their transport

  7. DATE

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    1 SECTION A. Project Title: Tribal DOE Program/Agreement-In-Principle - Shoshone-Bannock Tribes SECTION B. Project Description The Tribal DOE Program will continue to operate under the Cooperative Agreement No. DE-NE000587, which was negotiated between the Fort Hall Business Council and the Department of Energy-Idaho Office on December 18, 2012 for a 5-year period under the Agreement-In-Principle (AIP). The Tribal DOE AIP Program mission for FY2016 involves oversight and monitoring of DOE

  8. DATE

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

    4-001 SECTION A. Project Title: INL - Idaho Completion Project Environmental and Regulatory Services Activities SECTION B. Project Description The proposed action addresses the site-wide sampling and monitoring and waste characterization sampling programs that support the Idaho Completion Project (ICP) operations. Actions include:  groundwater monitoring,  day-to-day monitoring activities (i.e., measurement of liquid or gaseous effluents for purposes of characterizing and quantifying

  9. DATE

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

    6-007 SECTION A. Project Title: INTEC - INTEC - Transfer ATR Fuel From Wet (CPP-666) to Dry (CPP-603) Irradiated Fuel Storage Facility Fuel Conditioning Station SECTION B. Project Description The purpose of this project is to transfer approximately 1,000 ATR fuel elements from wet fuel storage located at the CPP-666 Fuel Storage Area (FSA) at the Idaho Nuclear Technology and Engineering Center (INTEC) to the dry fuel storage located within CPP-603B, Irradiated Fuels Storage Facility (IFSF). The

  10. DATE

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

    EC Document No.: DOE-ID-INL-09-002 SECTION A. Project Title: Smoking Shelters SECTION B. Project Description. Install up to three prefabricated outdoor shelters for smokers. Design and install a shelter base so that shelters can be movable. The base shall be designed to prevent shelters from moving or tipping over due to high winds. Specific location for shelters is to be determined, but the shelter bases will be placed atop existing concrete or asphalt such that no subsurface soil disturbance

  11. DATE

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

    09-003 SECTION A. Project Title: Removal of Central Facilities Area (CFA)-661 Interior Walls and Mezzanine. SECTION B. Project Description The initial action to be covered under this Environmental Checklist will be removal of the mezzanines from CFA-661 to provide for material storage and work space for the National and Homeland Security (N&HS) Wireless Test Bed project. More specifically, this involves storage of electronic equipment, antennas and antenna masts, personnel supplies, and a

  12. DATE

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

    2 __________________________ 1 DOE's strategic plans included the Nuclear Energy Research and Development Roadmap" (2010 Predecisional draft) and reports such as "Facilities for the Future of Nuclear Energy Research: A Twenty-year Outlook". SECTION A. Project Title: Materials and Fuel Complex (MFC) Infrastructure Upgrades: Sewage Lagoons Upgrades SECTION B. Project Description: MFC Infrastructure Upgrades - MFC Sewage Lagoon Upgrades This EC focuses on upgrades to the existing 2.4

  13. DATE

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

    4 SECTION A. Project Title: Materials and Fuels Complex (MFC) Infrastructure Upgrades - Technical Support Building SECTION B. Project Description: Materials and Fuels Complex (MFC) Infrastructure Upgrades - General The number of researchers and operators at the Materials and Fuels Complex has significantly increased, and is projected to increase further in the future to support the expanding research activities at the facility. These activities will require infrastructure upgrades (office space,

  14. DATE

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

    5 SECTION A. Project Title: Materials and Fuel Complex (MFC) Infrastructure Upgrades: Modular Office Units SECTION B. Project Description: MFC Infrastructure Upgrades - General The number of researchers and operators at MFC has significantly increased, and is projected to increase further in the future to support the expanding research activities at the facility. These activities will require Infrastructure upgrades (office space, potable water, wastewater treatment, communications, etc.) to

  15. DATE

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

    4-017 SECTION A. Project Title: Test Reactor Area (TRA)-653 Conference Room Modifications SECTION B. Project Description: The Advanced Test Reactor (ATR) Maintenance Shop, building Test Reactor Area (TRA)-653, located at the ATR Complex, has an upstairs conference room capable of being used as one large conference room or can be split into two conference rooms by a sliding curtain divider. The current configuration causes meeting interruptions due to the one available door limiting personnel

  16. DATE

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

    DOE-ID-ICP-16-001 R1 SECTION A. Project Title: INTEC - Macroencapsulation/Overpack Operations in CPP-659 and CPP-1617, Rev. 1 SECTION B. Project Description The proposed action will treat mixed low-level waste (MLLW) at the Idaho Nuclear Technology and Engineering Center (INTEC). The treatment process, macroencapsulation, will result in the waste stream meeting the treatment standards for debris and radioactive lead solids (RLS) for disposition at the Nevada National Security Site (NNSS). The

  17. DATE

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

    9 SECTION A. Project Title: INTEC - Upgrade of the Emergency Communication System SECTION B. Project Description The proposed action will design, procure, and install an upgrade to the emergency communication system (ECS) for the Idaho Nuclear Technology and Engineering Center (INTEC). The existing system does not meet the new Life Safety codes and parts are no longer available for the antiquated system. Approximately 39 buildings will be included in the system modification and upgrade of ECS

  18. DATE:

    Office of Environmental Management (EM)

    Portaledge, March 2010 | Department of Energy Audit and Attack Detection Toolkit: Bandolier and Portaledge, March 2010 Cyber Security Audit and Attack Detection Toolkit: Bandolier and Portaledge, March 2010 This project of the cyber security audit and attack detection toolkit will employ Bandolier Audit Files for optimizing security configurations and the Portaledge event detection capability for energy control systems. By building configuration audit and attack detection capabilities into

  19. Date

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

    ... We will provide a letter template to you. Sandia will treat all aspects of this engagement as privileged and confidential. We will not disclose any engagement-related information ...

  20. DATE

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

    of Impact The action consists of purchasing equipment to be used in research and teaching. The action would not create additional environmental impacts above those already...

  1. DATE

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

    CAES-061 292012 Rev. 04 CAES Microscopy & Characterization Suite (MaCS) Service Request Form Page 1 of 2 Contact Information: Requestor Name: *Researcher Name: Requestor Email:...

  2. DATE

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

    ... requirements in PRD-5030, the generators can be operated up to 12 months or less, regardless of size, at the project location without being subject to air permitting requirements. ...

  3. DATE

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

    ... by ETI-039 1RQURDG (QJLQHV WKH JHQHUDWRUV FDQ EH RSHUDWHG XS WR PRQWKV RU OHVV UHJDUGOHVV RI VLH DW WKH project location without being subject to air permitting requirements. ...

  4. DATE

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

    hazardous substances, pollutants, contaminants, or CERCLA-excluded petroleum and natural gas products that pre-exist in the environment such that there would be uncontrolled...

  5. DATE:

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

    For questions concerning this policy flash, contact Kevin M. Smith at (202) 287-1614 or at Kevin.M.Smith@hq.doe.gov. Contracting Officers should contact their field counsel, the ...

  6. DATE:

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

    and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Implementation of Division F, Title I, Title II, and Title III ...

  7. DATE:

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

    and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Implementation of Division D, Titles III and V, and Division E, ...

  8. DATE

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

    working conditions, and sanitation, such as cleaning, window washing, lawn mowing, trash collection, painting, and snow removal. Routine maintenance activities, corrective...

  9. DATE

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

    testing, high efficiency particulate air filter testing and certification, stress tests (such as "burn-in" testing of electrical components and leak testing), and...

  10. DATE

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

    action will abandon inactive wells and injection wells at the Idaho National Laboratory (INL) Site. Wells and injection wells will be abandoned as per MCP-1442, MCP-3480 and ...

  11. DATE

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

    Welding is done in another portion of the building (weld shop, insignificant activity) served by a different ventilation system. Certified Refrigeration Technicians will use ...

  12. DATE

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

    For additional information, contact Brenda Pace at 526-0916 or Hollie Gilbert at 526-2189. Interaction with WildlifeHabitat - Activities occurring off-road after May 1 have the...

  13. DATE:

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

    28 am, Mar 26, 2012 119 X X RPP-40149-VOL1, Rev. 2 Integrated Waste Feed Delivery Plan Volume 1 - Process Strategy E. B. West Washington River Protection Solutions, LLC P. J. Certa, T. M. Hohl, J. S. Ritari, B. R. Thompson Washington River Protection Solutions, LLC C. C. Haass Columbia Nuclear International, LLC Richland, WA 99352 U.S. Department of Energy Contract DE-AC27-08RV14800 EDT/ECN: UC: Cost Center: Charge Code: B&R Code: Total Pages: Key Words: Abstract: The Integrated Waste Feed

  14. DATE:

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

    7:53 am, Mar 26, 2012 X X 131 RPP-40149-VOL2, Rev. 2 Integrated Waste Feed Delivery Plan Volume 2 - Campaign Plan J. S. Ritari Washington River Protection Solutions, LLC P. J. Certa, T. M. Hohl, B. R. Thompson, E. B. West Washington River Protection Solutions, LLC C. C. Haass Columbia Nuclear International, LLC Richland, WA 99352 U.S. Department of Energy Contract DE-AC27-08RV14800 EDT/ECN: UC: Cost Center: Charge Code: B&R Code: Total Pages: Key Words: Abstract: The Integrated Waste Feed

  15. DATE:

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

    8:05 am, Mar 26, 2012 X X 189 RPP-40149-VOL3, Rev. 2 Integrated Waste Feed Delivery Plan Volume 3 - Project Plan J. S. Rodriguez Washington River Protection Solutions, LLC J. W. Kelly, D. C. Larsen Washington River Protection Solutions, LLC Richland, WA 99352 U.S. Department of Energy Contract DE-AC27-08RV14800 EDT/ECN: UC: Cost Center: Charge Code: B&R Code: Total Pages: Key Words: Abstract: The Integrated Waste Feed Delivery Plan (IWFDP) describes how waste feed will be delivered to the

  16. DATE

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

    This is in accordance with the methods specified in the Rules for the Control of Air Pollution in Idaho (IDAPA 58.01.01.650-651). Since the drilling equipment qualifies as a ...

  17. DATE

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

    Potential Sources of Impact Chemical UseStorage - Work will be conducted in a chemistry laboratory using chemical reagents, acids, alkalis, and solvents. Chemical Waste...

  18. DATE

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

    Test (DBFT) Characterization Borehole Drilling and Testing, Pierce County, N.D. - ... acquisition of appropriate township, county, or state zoning and drilling permits. ...

  19. FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting

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

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 DARM Transmittal Letter and Attachment Final.pdf (541.36 KB) More Documents & Publications FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY_09_DM_RM_AM_Reporting_Memo_and_attachment_072009.pdf Real Property Maintenance Reporting Requirement

  20. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2013 " ,"(Megawatts and 2008 ...

  1. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 " ,"(Megawatts and 2009 ...

  2. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 ...

  3. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007 ...

  4. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007 ...

  5. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 ...

  6. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 " ,"(Megawatts and 2005 Base ...

  7. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 " ,"(Megawatts and 2009 ...

  8. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)" ...

  9. 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, ...

  10. 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 ...

  11. 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 ...

  12. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update (EIA)

    in Renewable Energy Consumption and Electricity 2010 Release Date: December 11, 2012 Next Release Date: August 2013 Table 10. Renewable electric power sector net generation by energy source and State, 2009 (thousand kilowatthours) Landfill Gas/MSW Biogenic 1 Other Biomass 2 Alabama 12,535,373 - 2,050 245,980 - - - 248,030 12,783,403 Alaska 1,323,744 - - - - - 7,027 7,027 1,330,771 Arizona 6,427,345 18,299 - 136,641 - 14,145 29545 198,630 6,625,975 Arkansas 4,192,706 34,371 17,645 - - - - 52,016

  13. Environmental Compliance Performance Scorecard ¬タモ Second...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  14. FINAL-1ST-QUARTER-FY-2014-SCORECARD-08-23-14.xlsx

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  15. FINAL-3RD-QUARTER-FY-2013-SCORECARD-01-31-14.xlsx

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  16. REVISED-FINAL-1ST-QUARTER-FY-2013-SCORECARD-09-05-13.xlsx

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  17. Environmental Compliance Performance Scorecard ¬タモ First...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE FINAL FIRST QUARTER OF FY ...

  18. FINAL-4TH-QUARTER-FY-2012-SCORECARD-04-10-13.xlsx

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  19. SITE-LEVEL SUMMARY of FINAL-4TH-QUARTER-FY-2013-SCORECARD-05...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  20. SITE-LEVEL SUMMARY of FINAL-3RD-QUARTER-FY-2012-SCORECARD-01...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  1. Environmental Compliance Performance Scorecard ¬タモ First...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  2. FINAL-2ND-QUARTER-FY-2013-SCORECARD-12-16-13.xlsx

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE REGULATORY AGREEMENT NAME ...

  3. Environmental Compliance Performance Scorecard ¬タモ Fourth...

    Office of Environmental Management (EM)

    ... D&D Fund Deposit, West Valley Demonstration Project MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE FINAL 4TH QUARTER OF FY ...

  4. 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.

  5. Property:StartDate | Open Energy Information

    Open Energy Info (EERE)

    StartDate Jump to: navigation, search This is a property of type Date. Pages using the property "StartDate" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County...

  6. Property:EndDate | Open Energy Information

    Open Energy Info (EERE)

    EndDate Jump to: navigation, search This is a property of type Date. Pages using the property "EndDate" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County...

  7. 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...

  8. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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....

  14. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

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

  15. 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,

  16. Table 16. Total Energy Consumption, Projected vs. Actual Projected

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

    6. Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ...

  17. Table 9. Natural Gas Production, Projected vs. Actual

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

    Natural Gas Production, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2...

  18. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,...

  19. "Table 7b. Natural Gas Price, Electric Power Sector, Actual...

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

    b. Natural Gas Price, Electric Power Sector, Actual vs. Projected" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,200...

  20. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,201...

  1. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 19.87 20.21 20.64 20.99 ...

  2. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

  3. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 ...

  4. Developing an industrial end-use forecast: A case study at the Los Angeles department of water and power

    SciTech Connect (OSTI)

    Mureau, T.H.; Francis, D.M.

    1995-05-01

    The Los Angeles Department of Water and Power (LADWP) uses INFORM 1.0 to forecast industrial sector energy. INFORM 1.0 provides an end-use framework that can be used to forecast electricity, natural gas or other fuels consumption. Included with INFORM 1.0 is a default date set including the input data and equations necessary to solve each model. LADWP has substituted service area specific data for the default data wherever possible. This paper briefly describes the steps LADWP follows in developing those inputs and application in INFORM 1.0.

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

    SciTech Connect (OSTI)

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

    2010-04-20

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

  6. 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.

  7. P.R. No. * Date*

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

    Low Risk (Rev 6, 5/8/2015) P.R. No. * Date* Subcontract No. or PO No. * 1 EXHIBIT G LOW RISK SECURITY REQUIREMENTS G1.0 Definitions and Acronyms (Mar 2013) Definitions and acronyms may be accessed electronically at http://www.lanl.gov/resources/_assets/docs/Exhibit-G/exhibit-g-definitions-acronyms-green.pdf G2.0 Statements Applicable to Scope of Work (May 2015) CONTRACTOR represents that all of the statements listed below are factually correct and applicable to the scope of work (SOW) for this

  8. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update (EIA)

    2012 Next Release Date: August 2013 Table 20. Total renewable net summer capacity by energy source and State, 2010 (megawatts) Landfill Gas/MSW 1 Other Biomass 2 Alabama 3,272 - - 583 - - - 583 3,855 Alaska 414 - - - - - 7 7 422 Arizona 2,720 4 - 29 - 20 128 181 2,901 Arkansas 1,341 9 6 312 - - - 326 1,667 California 10,141 292 97 639 2,004 475 2,812 6,319 16,460 Colorado 662 3 10 - - 41 1,294 1,348 2,010 Connecticut 122 159 - - - - - 159 281 Delaware - 8 - - - - 2 10 10 District of Columbia -

  9. 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.

  10. 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

  11. 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. ...

  12. 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...

  13. 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 ...

  14. 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.

  15. 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

  16. 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...

  17. 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.

  18. 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)

  19. Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

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

    2010-09-01

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique

  20. 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.

  1. 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.

  2. 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

  3. 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.

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

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

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

  5. "Title","Creator/Author","Publication Date","OSTI Identifier...

    Office of Scientific and Technical Information (OSTI)

    ACIDS; CALIFORNIA; CHAINS; CHEMISTRY; DISEASES; FIBROSIS; FORECASTING; GENETICS; OPTIMIZATION; PROTEIN STRUCTURE; PROTEINS; QUEUES; SHAPE; SIMULATION PROTEIN STRUCTURE...

  6. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6449.55,6566.35,6643,6723.3,6810.9,6880.25,6956.9,7059.1,7124.8,7205.1,7296.35,7376.65,7446,7522.65,7595.65,7665,7712.45,7774.5 "AEO

  7. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    Petroleum Net Imports, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2934.6,3201.05,3361.65,3504,3657.3,3737.6,3879.95,3993.1,4098.95,4212.1,4303.35,4398.25,4474.9,4540.6,4584.4,4639.15,4668.35,4672 "AEO

  8. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2007-04-13

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 2224 Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cesium-137 sulfate and sodium) were exceeded in all three of the flowsheet tests that were performed.

  9. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2006-10-18

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 222-S Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cs-137 sulfate, and sodium) were exceeded in all three of the flowsheet tests that were performed.

  10. 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.

  11. Property:NEPA ApplicationDate | Open Energy Information

    Open Energy Info (EERE)

    ApplicationDate Jump to: navigation, search Property Name NEPA ApplicationDate Property Type Date This is a property of type Date. Pages using the property "NEPA ApplicationDate"...

  12. Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

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

    2010-01-01

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter

  13. 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.

  14. Hazard Communication Training - Upcoming Implementation Date...

    Energy Savers [EERE]

    Hazard Communication Training - Upcoming Implementation Date for New Hazard Communication Standard Hazard Communication Training - 10 CFR 851, Worker Safety and Health Program, ...

  15. Categorical Exclusion (CX) Determinations By Date | Department...

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

    CX(s) Applied: DOEEA-1914 National Renewable Energy Laboratory (NREL) Date: 072815 Location(s): CO Office(s): Golden Field Office July 21, 2015 CX-100313...

  16. Property:GEAReportDate | Open Energy Information

    Open Energy Info (EERE)

    the project. Pages using the property "GEAReportDate" Showing 1 page using this property. L Los Humeros III Geothermal Power Plant + 19 December 2013 + Retrieved from "http:...

  17. Nuclear Speed-Dating | Department of Energy

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

    Nuclear Speed-Dating Nuclear Speed-Dating March 10, 2015 - 10:48am Addthis Photo courtesy of Idaho National Laboratory. Photo courtesy of Idaho National Laboratory. Pat Adams Pat Adams Digital Content Specialist, Office of Public Affairs Nuclear Speed-Dating The future of nuclear energy needs smart, creative thinkers. That's why more than 120 experts met up last week to "speed-date" each other's ideas. Storified by Energy Department * Tue, Mar 10 2015 15:28:50 Nuclear Wetlands * James

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. Table 12. Total Coal Consumption, Projected vs. Actual

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

    Total Coal Consumption, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",920,928,933,938,943,948,953,958,962,967,978,990,987,992,1006,1035,1061,1079 "AEO 1995",,935,940,941,947,948,951,954,958,963,971,984,992,996,1002,1013,1025,1039 "AEO

  3. Table 12. Total Coal Consumption, Projected vs. Actual Projected

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

    Total Coal Consumption, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 920 928 933 938 943 948 953 958 962 967 978 990 987 992 1006 1035 1061 1079 AEO 1995 935 940 941 947 948 951 954 958 963 971 984 992 996 1002 1013 1025 1039 AEO 1996 937 942 954 962 983 990 1004 1017 1027 1033 1046 1067 1070 1071 1074 1082 1087 1094 1103 AEO 1997 948 970 987 1003 1017 1020 1025 1034 1041

  4. Table 13. Coal Production, Projected vs. Actual Projected

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

    Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 999 1021 1041 1051 1056 1066 1073 1081 1087 1098 1107 1122 1121 1128 1143 1173 1201 1223 AEO 1995 1006 1010 1011 1016 1017 1021 1027 1033 1040 1051 1066 1076 1083 1090 1108 1122 1137 AEO 1996 1037 1044 1041 1045 1061 1070 1086 1100 1112 1121 1135 1156 1161 1167 1173 1184 1190 1203 1215 AEO 1997 1028 1052 1072 1088

  5. Table 15. Total Electricity Sales, Projected vs. Actual

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

    Total Electricity Sales, Projected vs. Actual" "Projected" " (billion kilowatt-hours)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2843,2891,2928,2962,3004,3039,3071,3112,3148,3185,3228,3263,3298,3332,3371,3406,3433,3469 "AEO 1995",,2951,2967,2983,3026,3058,3085,3108,3134,3166,3204,3248,3285,3321,3357,3396,3433,3475 "AEO

  6. Table 15. Total Electricity Sales, Projected vs. Actual Projected

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

    Total Electricity Sales, Projected vs. Actual Projected (billion kilowatt-hours) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2843 2891 2928 2962 3004 3039 3071 3112 3148 3185 3228 3263 3298 3332 3371 3406 3433 3469 AEO 1995 2951 2967 2983 3026 3058 3085 3108 3134 3166 3204 3248 3285 3321 3357 3396 3433 3475 AEO 1996 2973 2998 3039 3074 3106 3137 3173 3215 3262 3317 3363 3409 3454 3505 3553 3604 3660 3722 3775 AEO 1997 3075

  7. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6450 6566 6643 6723 6811 6880 6957 7059 7125 7205 7296 7377 7446 7523 7596 7665 7712 7775 AEO 1995 6398 6544 6555 6676 6745 6822 6888 6964 7048 7147 7245 7337 7406 7472 7537 7581 7621 AEO 1996 6490 6526 6607 6709 6782 6855 6942 7008 7085 7176 7260 7329 7384 7450 7501 7545 7581 7632 7676 AEO 1997 6636 6694

  8. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2508 2373 2256 2161 2088 2022 1953 1891 1851 1825 1799 1781 1767 1759 1778 1789 1807 1862 AEO 1995 2402 2307 2205 2095 2037 1967 1953 1924 1916 1905 1894 1883 1887 1887 1920 1945 1967 AEO 1996 2387 2310 2248 2172 2113 2062 2011 1978 1953 1938 1916 1920 1927 1949 1971 1986 2000 2018 2055 AEO 1997 2362 2307

  9. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

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

    Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 4347 4344 AEO 1997 3099 3245 3497

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

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2000-08-31

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

  11. Property:OpenEI/PublicationDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name OpenEIPublicationDate Property Type Date Description The date the resource was first published. Retrieved from "http:...

  12. Property:Geothermal/ProjectEndDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name GeothermalProjectEndDate Property Type Date Description Project End Date Retrieved from "http:en.openei.orgw...

  13. Property:Geothermal/ProjectStartDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name GeothermalProjectStartDate Property Type Date Description Project Start Date Retrieved from "http:en.openei.orgw...

  14. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

    Estimated End Date Jump to: navigation, search Property Name Estimated End Date Property Type String Pages using the property "Estimated End Date" Showing 4 pages using this...

  15. Solid waste integrated forecast technical (SWIFT) report: FY1997 to FY 2070, Revision 1

    SciTech Connect (OSTI)

    Valero, O.J.; Templeton, K.J.; Morgan, J.

    1997-01-07

    This web site provides an up-to-date report on the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the WM Project; program-level and waste class-specific estimates; background information on waste sources; and comparisons with previous forecasts and with other national data sources. This web site does not include: liquid waste (current or future generation); waste to be managed by the Environmental Restoration (EM-40) contractor (i.e., waste that will be disposed of at the Environmental Restoration Disposal Facility (ERDF)); or waste that has been received by the WM Project to date (i.e., inventory waste). The focus of this web site is on low-level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this web site is reporting data th at was requested on 10/14/96 and submitted on 10/25/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program's life cycle. Therefore, these data represent revisions from the previous FY97.0 Data Version, due primarily to revised estimates from PNNL. There is some useful information about the structure of this report in the SWIFT Report Web Site Overview.

  16. 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.

  17. 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

  18. Pretreated Slurries; Issue Date: August 2010; Revision Date: July 2011 (Version 07-08-2011)

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

    Summative Mass Closure Laboratory Analytical Procedure (LAP) Review and Integration: Pretreated Slurries Issue Date: August 2010 Revision Date: July 2011 (Version 07-08-2011) J. Sluiter and A. Sluiter Technical Report NREL/TP-510-48825 Revised July 2011 Technical Report Summative Mass Closure NREL/TP-510-48825 Revised July 2011 Laboratory Analytical Procedure (LAP) Review and Integration: Pretreated Slurries Issue Date: August 2010 Revision Date: July 2011 (Version 07-08-2011) J. Sluiter and A.

  19. Table 16. Total Energy Consumption, Projected vs. Actual

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

    Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO

  20. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Total Natural Gas Consumption, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",19.87,20.21,20.64,20.99,21.2,21.42,21.6,21.99,22.37,22.63,22.95,23.22,23.58,23.82,24.09,24.13,24.02,24.14 "AEO 1995",,20.82,20.66,20.85,21.21,21.65,21.95,22.12,22.25,22.43,22.62,22.87,23.08,23.36,23.61,24.08,24.23,24.59 "AEO

  1. 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...

  2. 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...

  3. 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 ...

  4. 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 ...

  5. 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 " " % % &...

  6. 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. ...

  7. 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, ...

  8. 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.

  9. 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.

  10. 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 ...

  11. 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 ...

  12. 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.

  13. 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 ...

  14. 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.

  15. Property:File/CreationDate | Open Energy Information

    Open Energy Info (EERE)

    CreationDate Jump to: navigation, search Property Name FileCreationDate Property Type Date Description Original creation date for the file. Note that this is usually not the same...

  16. Property:NEPA RevisedApplicationDate | Open Energy Information

    Open Energy Info (EERE)

    RevisedApplicationDate Jump to: navigation, search Property Name NEPA RevisedApplicationDate Property Type Date This is a property of type Date. Pages using the property "NEPA...

  17. Property:NEPA ScopingInitiatedDate | Open Energy Information

    Open Energy Info (EERE)

    ScopingInitiatedDate Jump to: navigation, search Property Name NEPA ScopingInitiatedDate Property Type Date This is a property of type Date. Pages using the property "NEPA...

  18. Property:NEPA DecisionDocumentDate | Open Energy Information

    Open Energy Info (EERE)

    DecisionDocumentDate Jump to: navigation, search Property Name NEPA DecisionDocumentDate Property Type Date This is a property of type Date. Subproperties This property has the...

  19. Table of Contents: Accelerating Cleanup, Paths to Closure

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

    ... X X X X X X X A.2.20. Is this project A-106 (FEDPLAN) compliant? Yes (Section D.2.1. in the FY 1999 Budget Update) .3. Milestones Planned Date Forecast Date Actual Date Milestone...

  20. Company Company Code Fiscal Year Submission Date

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

    NAME: TITLE: SIGNATURE: DATE: Mail to: U.S. Department of Energy Financial Reporting System, EI-24 Attention: Robert Schmitt Forrestal Building, Room 2G-089 1000 Independence Ave., ...

  1. Home Energy Score: Analysis & Improvements to Date

    Broader source: Energy.gov [DOE]

    Home Energy Score: Analysis & Improvements to Date, a presentation from the U.S. Department of Energy, by Joan Glickman Senior Advisor/Program Manager, Home Energy Score, July 24, 2012.

  2. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Air Conditioners RIN: 1904-AC82 CX(s) Applied: B5.1 EERE- Buildings Technology Program Date: 06172015 Location(s): Nationwide Office(s): Golden Field Office June 16, 2015...

  3. Date centerdTimes New Roman

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

    April 2010 DOE F 1325.8 (493) United States Government Department of Energy memorandum DATE: April 27, 2010 Audit Report Number: OAS-RA-L-10-04 REPLY TO ATTN TO: IG-32 (A10RA025)...

  4. Date centerdTimes New Roman

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

    2010 DOE F 1325.8 (08-93) United States Government Department of Energy Memorandum DATE: April 23, 2010 Audit Report Number: OAS-RA-L-10-03 REPLY TO ATTN OF: IG-34 (A09ID019)...

  5. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Number: DE-EE0007137 CX(s) Applied: A9, B3.6, B3.11 Solar Energy Technologies Office Date: 09102015 Location(s): AL Office(s): Golden Field Office September 8, 2015 CX-100362...

  6. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Products Award Number: DE-EE0006875 CX(s) Applied: B3.6 Bioenergy Technologies Office Date: 05152015 Location(s): CA Office(s): Golden Field Office May 15, 2015 CX-100243...

  7. Date centerdTimes New Roman

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

    Project OAS-RA-L-11-03 February 2011 DOE F 1325.8 (08-93) United States Government Department of Energy Memorandum DATE: February 9, 2011 Audit Report Number: OAS-RA-L-11-03 ...

  8. Date centerdTimes New Roman

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

    Audit of Fermi National Accelerator Laboratory's NOvA Project OAS-RA-L-10-02 April 2010 ... DATE: April 16, 2010 Audit Report Number: OAS-RA-L-10-02 REPLY TO ATTN OF: IG-32 ...

  9. 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.

  10. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

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

    Natural Gas Net Imports, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2.02 2.40 2.66 2.74 2.81 2.85 2.89 2.93 2.95 2.97 3.00 3.16 3.31 3.50 3.57 3.63 3.74 3.85 AEO 1995 2.46 2.54 2.80 2.87 2.87 2.89 2.90 2.90 2.92 2.95 2.97 3.00 3.03 3.19 3.35 3.51 3.60 AEO 1996 2.56 2.75 2.85 2.88 2.93 2.98 3.02 3.06 3.07 3.09 3.12 3.17 3.23 3.29 3.37 3.46 3.56 3.68 3.79 AEO 1997 2.82 2.96

  11. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 6.80 6.80 6.90 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 7.20 7.20 7.30 7.30 7.40 7.50 7.60 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20

  12. Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.2 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9

  13. Table 22. Energy Intensity, Projected vs. Actual Projected

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

    Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / $Billion 2005 Chained GDP) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 10.9 10.7 10.6 10.5 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.1 9.0 8.9 AEO 1995 10.5 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 AEO 1996 10.4 10.3 10.1 10.0 9.8 9.7 9.5 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 8.7 8.6 8.5 AEO 1997 10.0 9.9 9.8 9.7 9.6 9.5 9.4

  14. Table 9. Natural Gas Production, Projected vs. Actual Projected

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

    Natural Gas Production, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 17.71 17.68 17.84 18.12 18.25 18.43 18.58 18.93 19.28 19.51 19.80 19.92 20.13 20.18 20.38 20.35 20.16 20.19 AEO 1995 18.28 17.98 17.92 18.21 18.63 18.92 19.08 19.20 19.36 19.52 19.75 19.94 20.17 20.28 20.60 20.59 20.88 AEO 1996 18.90 19.15 19.52 19.59 19.59 19.65 19.73 19.97 20.36 20.82 21.25 21.37 21.68

  15. 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.

  16. 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.

  17. 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...

  18. 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.

  19. Incorporating Uncertainty of Wind Power Generation Forecast into Power System Operation, Dispatch, and Unit Commitment Procedures

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian; Huang, Zhenyu; Subbarao, Krishnappa

    2011-06-23

    An approach to evaluate the uncertainties of the balancing capacity, ramping capability, and ramp duration requirements is proposed. The approach includes three steps: forecast data acquisition, statistical analysis of retrospective information, and prediction of grid balancing requirements for a specified time horizon and a given confidence level. An assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on histogram analysis, incorporating sources of uncertainty - both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures). A new method called the 'flying-brick' technique is developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation process is used to validate the accuracy of the confidence intervals. To demonstrate the validity of the developed uncertainty assessment methods and its impact on grid operation, a framework for integrating the proposed methods with an EMS system is developed. Demonstration through EMS integration illustrates the applicability of the proposed methodology and the developed tool for actual grid operation and paves the road for integration with EMS systems in control rooms.

  20. Incorporating Wind Generation Forecast Uncertainty into Power System Operation, Dispatch, and Unit Commitment Procedures

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Etingov, Pavel V.; Huang, Zhenyu; Ma, Jian; Subbarao, Krishnappa

    2010-10-19

    In this paper, an approach to evaluate the uncertainties of the balancing capacity, ramping capability, and ramp duration requirements is proposed. The approach includes three steps: forecast data acquisition, statistical analysis of retrospective information, and prediction of grid balancing requirements for a specified time horizon and a given confidence level. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on histogram analysis, incorporating sources of uncertainty of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the "flying-brick" technique is developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation process is used to validate the accuracy of the confidence intervals. To demonstrate the validity of the developed uncertainty assessment methods and its impact on grid operation, a framework for integrating the proposed methods with an EMS system is developed. Demonstration through integration with an EMS system illustrates the applicability of the proposed methodology and the developed tool for actual grid operation and paves the road for integration with EMS systems from other vendors.

  1. 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)

  2. Posting Date: 12/18/15 Posting Close Date: 1/4/16

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

    815 Posting Close Date: 1416 North American Industry Classification System (NAICS) code for the request: 336211 Estimated SubcontractPO Value: TBD Estimated Period of...

  3. Posting Date: 12/17/15 Posting Close Date: 12/24/15

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

    715 Posting Close Date: 122415 North American Industry Classification System (NAICS) code for the request: 236220 Estimated SubcontractPO Value: TBD Estimated Period of...

  4. Computational Age Dating of Special Nuclear Materials

    SciTech Connect (OSTI)

    2012-06-30

    This slide-show presented an overview of the Constrained Progressive Reversal (CPR) method for computing decays, age dating, and spoof detecting. The CPR method is: Capable of temporal profiling a SNM sample; Precise (compared with known decay code, such a ORIGEN); Easy (for computer implementation and analysis).  We have illustrated with real SNM data using CPR for age dating and spoof detection. If SNM is pure, may use CPR to derive its age. If SNM is mixed, CPR will indicate that it is mixed or spoofed.

  5. 2014 NEJC Save the Date (English) | Department of Energy

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

    NEJC Save the Date (English) 2014 NEJC Save the Date (English) 2014 National Environmental Justice Conference and Training Program Save the Date, March 26 to 28, 2014 Save the Date (English) (3.38 MB) More Documents & Publications 2017 EJ Save the Date EIS-0333: Draft Environmental Impact Statement ITP Aluminum: Technical Working Group on Inert Anode Technologies

  6. 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

  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. 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.

  9. Property:ASHRAE 169 Start Date | Open Energy Information

    Open Energy Info (EERE)

    Start Date Jump to: navigation, search This is a property of type Date. Pages using the property "ASHRAE 169 Start Date" Showing 25 pages using this property. (previous 25) (next...

  10. Property:ASHRAE 169 End Date | Open Energy Information

    Open Energy Info (EERE)

    End Date Jump to: navigation, search This is a property of type Date. Retrieved from "http:en.openei.orgwindex.php?titleProperty:ASHRAE169EndDate&oldid21585...

  11. Adv. Nuclear Solicitation Part I Due Date | Department of Energy

    Energy Savers [EERE]

    Nuclear Solicitation Part I Due Date Adv. Nuclear Solicitation Part I Due Date July 20, 2016 12:01AM to 11:59PM EDT ADVANCED NUCLEAR ENERGY PROJECTS SOLICITATION PART I DUE DATE ...

  12. Adv. Fossil Solicitation Part I Due Date | Department of Energy

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

    Fossil Solicitation Part I Due Date Adv. Fossil Solicitation Part I Due Date January 13, 2016 12:01AM to 11:59PM EST ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART I DUE DATE ...

  13. Adv. Nuclear Solicitation Part I Due Date | Department of Energy

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

    Nuclear Solicitation Part I Due Date Adv. Nuclear Solicitation Part I Due Date March 16, 2016 12:01AM to 11:59PM EDT ADVANCED NUCLEAR ENERGY PROJECTS SOLICITATION PART I DUE DATE ...

  14. REEE Solicitation Part I Due Date | Department of Energy

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

    I Due Date REEE Solicitation Part I Due Date November 30, 2016 1:01AM EST to December 1, 2016 12:59AM EST RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART I DUE DATE

  15. REEE Solicitation Part II Due Date | Department of Energy

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

    II Due Date REEE Solicitation Part II Due Date November 30, 2016 1:01AM EST to December 1, 2016 12:59AM EST RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART II DUE DATE

  16. REEE Solicitation Part I Due Date | Department of Energy

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

    I Due Date REEE Solicitation Part I Due Date March 16, 2016 12:01AM to 11:59PM EDT RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART I DUE DATE...

  17. Adv. Fossil Solicitation Part I Due Date | Department of Energy

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

    Fossil Solicitation Part I Due Date Adv. Fossil Solicitation Part I Due Date March 16, 2016 12:01PM to 11:59PM EDT ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART I DUE DATE...

  18. REEE Solicitation Part I Due Date | Department of Energy

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

    I Due Date REEE Solicitation Part I Due Date September 14, 2016 12:01AM to 11:59PM EDT RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART I DUE DATE

  19. 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

  20. 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.

  1. Energy Department Announces Dates and New Contests for Solar...

    Energy Savers [EERE]

    Dates and New Contests for Solar Decathlon 2017 in Denver, Colorado Energy Department Announces Dates and New Contests for Solar Decathlon 2017 in Denver, Colorado August 24, 2016 ...

  2. Property:FERC License Issuance Date | Open Energy Information

    Open Energy Info (EERE)

    Issuance Date Jump to: navigation, search Property Name FERC License Issuance Date Property Type String Retrieved from "http:en.openei.orgwindex.php?titleProperty:FERCLicense...

  3. Property:FERC License Application Date | Open Energy Information

    Open Energy Info (EERE)

    FERC License Application Date Jump to: navigation, search Property Name FERC License Application Date Property Type String Retrieved from "http:en.openei.orgw...

  4. NEMA Lighting, CCE Overview and Update presentation, dated 05...

    Energy Savers [EERE]

    Lighting, CCE Overview and Update presentation, dated 05252011. NEMA Lighting, CCE Overview and Update presentation, dated 05252011. This document is the U.S. Department of ...

  5. Jupiter Laser Facility Target Fab Request Requester: Date Requested:

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

    / Sketches: « Jupiter Laser Facility Target Fab Request Requester: Date Requested: Phone or E-Mail: Date Required: Target Name: Reference #: Laser System: Project: Task:

  6. Memorandum from Daniel B. Poneman dated August 27, 2010, Strategic...

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

    Daniel B. Poneman dated August 27, 2010, Strategic Business Initiatives Memorandum from Daniel B. Poneman dated August 27, 2010, Strategic Business Initiatives Dep Sec Memo ...

  7. FAQ's for: ENERGY STAR Verification Testing Pilot Program dated...

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

    FAQ's for: ENERGY STAR Verification Testing Pilot Program dated December 2010 FAQ's for: ENERGY STAR Verification Testing Pilot Program dated December 2010 This document is the ...

  8. POLICY GUIDANCE MEMORANDUM #04 Setting Effective Date for New...

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

    04 Setting Effective Date for New Hires POLICY GUIDANCE MEMORANDUM 04 Setting Effective Date for New Hires The purpose of this memorandum is to establish the Department of...

  9. 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 ...

  10. 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.

  11. 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 ...

  12. 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...

  13. 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...

  14. 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.

  15. 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.

  16. 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 ...

  17. 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,...

  18. 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....

  19. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    1995-05-01

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

  20. 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

  1. 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,

  2. 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

  3. Supplier Information Form Date: New Revision

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

    Supplier Information Form Date: New Revision Interested suppliers may complete and submit a Supplier Information Form to be included into LANS' vendor database. Suppliers are advised that there is no guarantee any solicitations or awards will be sent to Supplier by submitting a Supplier Information Form; however, in the event a solicitation is sent to the Supplier from an LANS Procurement Official, then a more formal quotation/offer may be required. Legal Business Name: D/B/A: (if applicable)

  4. WEATHERIZATION PROGRAM NOTICE 16-XX EFFECTIVE DATE:

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

    WEATHERIZATION PROGRAM NOTICE 16-XX EFFECTIVE DATE: SUBJECT: WEATHERIZATION OF RENTAL UNITS - Applicable to single family and multifamily dwellings PURPOSE: To provide Grantees with updated guidance on weatherizing rental units in the Weatherization Assistance Program (WAP). DOE has answered specific questions from Grantees related to the weatherization of rental units, whether single family building or multifamily dwellings, over a number of years. However, the responses to these questions have

  5. Low energy cyclotron for radiocarbon dating

    SciTech Connect (OSTI)

    Welch, J.J.

    1984-12-01

    The measurement of naturally occurring radioisotopes whose half lives are less than a few hundred million years but more than a few years provides information about the temporal behavior of geologic and climatic processes, the temporal history of meteoritic bodies as well as the production mechanisms of these radioisotopes. A new extremely sensitive technique for measuring these radioisotopes at tandem Van de Graaff and cyclotron facilities has been very successful though the high cost and limited availability have been discouraging. We have built and tested a low energy cyclotron for radiocarbon dating similar in size to a conventional mass spectrometer. These tests clearly show that with the addition of a conventional ion source, the low energy cyclotron can perform the extremely high sensitivity /sup 14/C measurements that are now done at accelerator facilities. We found that no significant background is present when the cyclotron is tuned to accelerate /sup 14/C negative ions and the transmission efficiency is adequate to perform radiocarbon dating on milligram samples of carbon. The internal ion source used did not produce sufficient current to detect /sup 14/C directly at modern concentrations. We show how a conventional carbon negative ion source, located outside the cyclotron magnet, would produce sufficient beam and provide for quick sampling to make radiocarbon dating milligram samples with a modest laboratory instrument feasible.

  6. Publication Dates | MIT-Harvard Center for Excitonics

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

    Publication Dates 9.25.2014 2016 2015 2014 2013 2012 2011 2010 2009

  7. 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.

  8. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    Jaunary 2010" ,"Next Update: October 2010" ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected ...

  9. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    . Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014" ,"(Thousands of Megawatthours and ...

  10. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2008 through 2012 " ,"(Thousands of Megawatthours and ...

  11. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Thousands of Megawatthours and ...

  12. 2017 EJ Save the Date | Department of Energy

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

    7 EJ Save the Date 2017 EJ Save the Date Save the Date! March 8 through 10, 2017 2017 National Environmental Justice Conference and Training Program SAVE THE DATE for the 2017 National Environmental Justice Conference and Training Program (2.86 MB) More Documents & Publications 2014 NEJC Save the Date (English) EIS-0333: Draft Environmental Impact Statement Conference Information: 2017 National Environmental Justice Conference and Training Program

  13. Date centerdTimes New Roman

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

    Audit Services Audit Report Office of Science's Energy Frontier Research Centers OAS-RA-L-10-09 August 2010 DOE F 1325.8 (08-93) United States Government Department of Energy Memorandum DATE: August 27, 2010 Audit Report Number: OAS-RA-L-10-09 REPLY TO ATTN OF: IG-32 (A10RA003) SUBJECT: Audit Report on "Office of Science's Energy Frontier Research Centers" TO: Associate Director, Office of Basic Energy Sciences, SC-22 INTRODUCTION AND OBJECTIVE In 2008, the Department of Energy's

  14. Date Time Event Description/Participants Location

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

    Updated: 06/11/2015 Date Time Event Description/Participants Location Point of Contact 11 thru 12 All Day Meeting Todd Allen, deputy director of Science and Technology at INL, has been invited to speak at the Idaho Society of Professional Engineers (ISPE) annual meeting. Coeur d'Alene, ID Sara Prentice, 526-9591 18 9:00 AM Education Outreach Approximately 50 iSTEM students and instructors will tour various INL Idaho Falls facilities Idaho Falls, ID INL Tours Office, 526-0050 23 All Day Meeting

  15. : H. Jack Elackwell, Area Manager, LAAO DATE:

    Office of Legacy Management (LM)

    O.&E b.&AORANDti~ l > : H. Jack Elackwell, Area Manager, LAAO DATE: June 5, 1973 70~ : ~$?$Z~H-Division Leader ,WE~,T : ENVIRONMENTAL RADIOACTIVITY SURVEY OF LOS ALAMOS COMIMUNITY LAND AREAS ' MBOL : H8M-73-102 At your request an environmental radioactivity survey of four' .tracts of AEC-owned land in Los Alamos County was conducted. The monitoring and analysis of samples paralleled that described in Los Alamos Scientific Laboratory Report LA5097-MS, "Los Alamos Land Areas

  16. Environmental Compliance Performance Scorecard ¬タモ Third...

    Office of Environmental Management (EM)

    ... MILESTONE FIELD ID MILESTONE NAME MILESTONE DESCRIPTION VARIANCE NARRATIVE FORECAST DATE ACTUAL DATE ARRA Project: N ARRA Project: N ID-0030B.C1-027 OU 3-14 Draft Phase II 90% ...

  17. COST BREAKDOWN AWARD NO: START DATE: EXPIRATION DATE: FISCAL YEAR BREAKDOWN OF FUNDS

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

    COST BREAKDOWN AWARD NO: START DATE: EXPIRATION DATE: FISCAL YEAR BREAKDOWN OF FUNDS ELEMENTS FY FY FY FY FY TOTAL Direct Labor Overhead Materials Supplies Travel Other Direct Costs Subcontractors Total Direct Costs G&A Expense Total All Costs DOE Share* Awardee Share* Overhead Rate G&A Rate 1. The cost elements indicated are provided as an example only. Your firm should indicate the costs elements you have used on your invoices. 2. You should indicate the cost incurred for each of your

  18. 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.

  19. 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).

  20. 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.

  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. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    2008-01-15

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  3. Solid waste integrated forecast technical (SWEFT) report: FY1997 to FY 2070 - Document number changed to HNF-0918 at revision 1 - 1/7/97

    SciTech Connect (OSTI)

    Valero, O.J.

    1996-10-03

    This web site provides an up-to-date report on the radioactive solid waste expected to be managed at Hanford`s Solid Waste (SW) Program from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the SW Program; program- level and waste class-specific estimates; background information on waste sources; and Li comparisons with previous forecasts and with other national data sources. The focus of this web site is on low- level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this site is reporting data current as of 9/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program`s life cycle.

  4. Adv. Fossil Solicitation Part I Due Date | Department of Energy

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

    I Due Date Adv. Fossil Solicitation Part I Due Date November 30, 2016 1:01AM EST to December 1, 2016 12:59AM EST ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART I

  5. Adv. Fossil Solicitation Part II Due Date | Department of Energy

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

    II Due Date Adv. Fossil Solicitation Part II Due Date November 30, 2016 1:01AM AST to December 1, 2016 12:59AM AST ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART II

  6. REEE Solicitation Part II Due Date | Department of Energy

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

    REEE Solicitation Part II Due Date REEE Solicitation Part II Due Date April 13, 2016 12:01AM to 11:59PM EDT RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART II DUE...

  7. REEE Solicitation Part II Due Date | Department of Energy

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

    REEE Solicitation Part II Due Date REEE Solicitation Part II Due Date June 15, 2016 12:01AM to 11:59PM EDT RENEWABLE ENERGY AND EFFICENT ENERGY PROJECTS SOLICITATION PART II DUE...

  8. Adv. Nuclear Solicitation Part II Due Date | Department of Energy

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

    Adv. Nuclear Solicitation Part II Due Date Adv. Nuclear Solicitation Part II Due Date April 13, 2016 12:01AM to 11:59PM EDT ADVANCED NUCLEAR ENERGY PROJECTS SOLICITATION PART II ...

  9. Key Dates | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Key Dates DOE Office of Science Graduate Student Research (SCGSR) Program SCGSR Home Eligibility Benefits Participant Obligations How to Apply Information for Laboratory Scientists and Thesis Advisors Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A FeedbackShare Page The SCGSR Program Key Dates are noted below. At the submission deadline (shown in red), the online application system will close after which no additional materials will be accepted. The

  10. Appliance Standards Program Schedule - CCE Overview and Update, dated

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

    October 26, 2011 | Department of Energy dated October 26, 2011 Appliance Standards Program Schedule - CCE Overview and Update, dated October 26, 2011 This document is Appliance Standards Program Schedule & CCE Overview and Update presentation, dated 10/26/2011, presented to Energy-Efficiency Advocacy Groups doe_eeag_present2011.pdf (446.59 KB) More Documents & Publications Appliance Standards Program Schedule - CCE Overview and Update, presented at AHRI 2011 Annual Meeting, dated

  11. Key Dates | U.S. DOE Office of Science (SC)

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

    Key Dates Albert Einstein Distinguished Educator Fellowship (AEF) Program Einstein Fellowship Home Eligibility Benefits Obligations How to Apply Key Dates Frequently Asked Questions Fellows Central Contact WDTS Home Key Dates Print Text Size: A A A FeedbackShare Page Key Dates for the 2017-2018 AEF Program Application process. On-line Application Opens August 17, 2016 Application Deadline 8:00pm EST November 17, 2016 Application Review 8 - 9 weeks Notification to Semi-Finalists [Travel

  12. Key Dates | U.S. DOE Office of Science (SC)

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

    Key Dates DOE Office of Science Graduate Student Research (SCGSR) Program SCGSR Home Eligibility Benefits Participant Obligations How to Apply Information for Laboratory Scientists and Thesis Advisors Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A FeedbackShare Page The SCGSR Program Key Dates are noted below. At the submission deadline (shown in red), the online application system will close after which no additional materials will be accepted. The

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

    Against the backdrop of increasingly volatile natural gas prices, renewable energy resources, which by their nature are immune to natural gas fuel price risk, provide a real economic benefit. Unlike many contracts for natural gas-fired generation, renewable generation is typically sold under fixed-price contracts. Assuming that electricity consumers value long-term price stability, a utility or other retail electricity supplier that is looking to expand its resource portfolio (or a policymaker interested in evaluating different resource options) should therefore compare the cost of fixed-price renewable generation to the hedged or guaranteed cost of new natural gas-fired generation, rather than to projected costs based on uncertain gas price forecasts. To do otherwise would be to compare apples to oranges: by their nature, renewable resources carry no natural gas fuel price risk, and if the market values that attribute, then the most appropriate comparison is to the hedged cost of natural gas-fired generation. Nonetheless, utilities and others often compare the costs of renewable to gas-fired generation using as their fuel price input long-term gas price forecasts that are inherently uncertain, rather than long-term natural gas forward prices that can actually be locked in. This practice raises the critical question of how these two price streams compare. If they are similar, then one might conclude that forecast-based modeling and planning exercises are in fact approximating an apples-to-apples comparison, and no further consideration is necessary. If, however, natural gas forward prices systematically differ from price forecasts, then the use of such forecasts in planning and modeling exercises will yield results that are biased in favor of either renewable (if forwards < forecasts) or natural gas-fired generation (if forwards > forecasts). In this report we compare the cost of hedging natural gas price risk through traditional gas-based hedging instruments (e

  14. 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 ...

  15. 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.

  16. 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...

  17. 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.

  18. 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 ...

  19. Adv. Fossil Solicitation Part I Due Date | Department of Energy

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

    Fossil Solicitation Part I Due Date Adv. Fossil Solicitation Part I Due Date September 14, 2016 12:01AM to 11:59PM EDT ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART I DUE DATE Learn more about the Advanced Fossil

  20. Adv. Nuclear Solicitation Part II Due Date | Department of Energy

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

    Nuclear Solicitation Part II Due Date Adv. Nuclear Solicitation Part II Due Date November 23, 2016 12:01AM to 11:59PM EST ADVANCED NUCLEAR ENERGY PROJECTS SOLICITATION PART II DUE DATE Learn more about the Advanced Nuclear

  1. Adv. Nuclear Solicitation Part II Due Date | Department of Energy

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

    Nuclear Solicitation Part II Due Date Adv. Nuclear Solicitation Part II Due Date October 19, 2016 12:01AM to 11:59PM EDT ADVANCED NUCLEAR ENERGY PROJECTS SOLICITATION PART II DUE DATE Learn more about the Advanced Nuclear

  2. Hazard Communication Training - Upcoming Implementation Date for New Hazard

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

    Communication Standard | Department of Energy Hazard Communication Training - Upcoming Implementation Date for New Hazard Communication Standard Hazard Communication Training - Upcoming Implementation Date for New Hazard Communication Standard Hazard Communication Training - 10 CFR 851, Worker Safety and Health Program, requires all DOE Federal and contractor employees with hazardous chemicals in their workplaces to complete new Hazard Communication Training. Upcoming Implementation Date for

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

    Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V.

    2011-11-29

    The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help

  9. 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.

  10. 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.

  11. 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.

  12. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2005 THRU FY2035 2005.0 VOLUME 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2005-08-17

    This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: (1) an overview of Hanford-wide solid waste to be managed by the WM Project; (2) multi-level and waste class-specific estimates; (3) background information on waste sources; and (4) comparisons to previous forecasts and other national data sources. The focus of this report is low-level waste (LLW), mixed low-level waste (MLLW), and transuranic waste, both non-mixed and mixed (TRU(M)). Some details on hazardous waste are also provided, however, this information is not considered comprehensive. This report includes data requested in December, 2004 with updates through March 31,2005. The data represent a life cycle forecast covering all reported activities from FY2005 through the end of each program's life cycle and are an update of the previous FY2004.1 data version.

  13. NEMA Distribution Transformers, CCE Overview and Update presentation, dated

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

    05/24/2011 | Department of Energy Distribution Transformers, CCE Overview and Update presentation, dated 05/24/2011 NEMA Distribution Transformers, CCE Overview and Update presentation, dated 05/24/2011 This document is the U.S. Department of Energys presentation titled NEMA Distribution Transformers, CCE Overview and UpdateŽ, date - May 24, 2011 nema_distributiontransformers_presentation.pdf (215.16 KB) More Documents & Publications Energy Conservation Program for Consumer Products

  14. Key Dates | U.S. DOE Office of Science (SC)

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

    Key Dates Visiting Faculty Program (VFP) VFP Home Eligibility Benefits Participant Obligations How to Apply Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A FeedbackShare Page At the submission deadline (shown in red) the application system will close, and no materials will be accepted after the submission deadline has passed. The Application System closes at 5:00 PM Eastern Time. VFP Term: Summer 2015 On-line Application Opens October 15, 2015 Applications

  15. Detection and Analysis of Threatsto the Energy Sector (DATES...

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

    Detection and Analysis of Threatsto the Energy Sector (DATES) May 2008 DOEOE National SCADA Test Bed Fiscal Year 2009 Work Plan "Supervisory Control and Data Acquisition (SCADA) ...

  16. 2014 NEJC Save the Date (Spanish) | Department of Energy

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

    More Documents & Publications 2013 National Environmental Justice Conference and Training Program 2014 NEJC Save the Date (English) 2015 National Environmental Justice Conference ...

  17. Memorandum from Paul Bosco dated May, 20, 2012, Utlization of...

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

    Purchase Agreements Memorandum from Paul Bosco dated May, 20, 2012, Utlization of the General Services Administration's Federal Strategic Sourcing Initiative Blanket Purchase ...

  18. Date Set for Closure of Russian Nuclear Weapons Plant - NNSA...

    National Nuclear Security Administration (NNSA)

    Date Set for Closure of Russian Nuclear Weapons Plant - NNSA Is Helping Make It Happen | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission ...

  19. Microsoft Word - EIA-914 Instructions_Expiration Date 09202012...

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

    ENERGY INFORMATION ADMINISTRATION OMB No. 1905-0205 Washington, DC 20585 Expiration Date: 09202012 INSTRUCTIONS for FORM EIA-914 MONTHLY NATURAL GAS PRODUCTION REPORT PURPOSE...

  20. Property:Incentive/StartDateString | Open Energy Information

    Open Energy Info (EERE)

    Pages using the property "IncentiveStartDateString" Showing 25 pages using this property. (previous 25) (next 25) 3 30% Business Tax Credit for Solar (Vermont) +...

  1. STATEMENT OF COMPLIANCE PAYROLL NUILBER PAYROLL PAYMENT DATE...

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

    COMPLIANCE PAYROLL NUILBER PAYROLL PAYMENT DATE CONTRACT NUMBER 382246 1 411712014 ... (Tile) (1) That I pay or supervise the payment of the persons employed by Intermach, ...

  2. Dating of major normal fault systems using thermochronology-...

    Open Energy Info (EERE)

    Dating of major normal fault systems using thermochronology- An example from the Raft River detachment, Basin and Range, western United States Jump to: navigation, search OpenEI...

  3. "Title","Creator/Author","Publication Date","OSTI Identifier...

    Office of Scientific and Technical Information (OSTI)

    Date: 31-DEC-64","Maryland. Univ., College Park, MD (United States)","US Atomic Energy Commission (AEC)","PHYSICS; ANGULAR DISTRIBUTION; DEUTERON BEAMS; ELASTIC SCATTERING;...

  4. POLICY GUIDANCE MEMORANDUM #04 Setting Effective Date for New...

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

    of Energy's (DOE) policy for setting effective dates for newly hired employees and to ensure uniform application among DOE Headquarters, Elements and Field Human Resources Offices. ...

  5. DOE Guidance-Setting Effective Date for New Hires

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

    MEMORANDUM FOR HUMAN RESOURCES DIRECTORS FROM: SARA I. BONIL HUMAN CAPITAL OFFICER GUIDANCE MEMORANDUM4: SETTING EFFECTIVE DATE FOR NEW HIRES The purpose of this memorandum is to ...

  6. 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.

  7. Microsoft Word - Documentation - Price Forecast Uncertainty.doc

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

    October 2009 1 October 2009 Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1 Summary It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy- related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the market- clearing process

  8. Assessment of the possibility of forecasting future natural gas curtailments

    SciTech Connect (OSTI)

    Lemont, S.

    1980-01-01

    This study provides a preliminary assessment of the potential for determining probabilities of future natural-gas-supply interruptions by combining long-range weather forecasts and natural-gas supply/demand projections. An illustrative example which measures the probability of occurrence of heating-season natural-gas curtailments for industrial users in the southeastern US is analyzed. Based on the information on existing long-range weather forecasting techniques and natural gas supply/demand projections enumerated above, especially the high uncertainties involved in weather forecasting and the unavailability of adequate, reliable natural-gas projections that take account of seasonal weather variations and uncertainties in the nation's energy-economic system, it must be concluded that there is little possibility, at the present time, of combining the two to yield useful, believable probabilities of heating-season gas curtailments in a form useful for corporate and government decision makers and planners. Possible remedial actions are suggested that might render such data more useful for the desired purpose in the future. The task may simply require the adequate incorporation of uncertainty and seasonal weather trends into modeling systems and the courage to report projected data, so that realistic natural gas supply/demand scenarios and the probabilities of their occurrence will be available to decision makers during a time when such information is greatly needed.

  9. Towards a Science of Tumor Forecast for Clinical Oncology

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

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

    2015-01-01

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

  10. Toward a science of tumor forecasting for clinical oncology

    SciTech Connect (OSTI)

    Yankeelov, Thomas E.; Quaranta, Vito; Evans, Katherine J.; Rericha, Erin C.

    2015-03-15

    We propose that the quantitative cancer biology community makes a concerted effort to apply lessons from weather forecasting to develop an analogous methodology for predicting and evaluating tumor growth and treatment response. Currently, the time course of tumor response is not predicted; instead, response is only assessed post hoc by physical examination or imaging methods. This fundamental practice within clinical oncology limits optimization of a treatment regimen for an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. Furthermore, with a successful methodology toward tumor forecasting, it should be possible to integrate large tumor-specific datasets of varied types and effectively defeat one cancer patient at a time.

  11. Toward a science of tumor forecasting for clinical oncology

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

    Yankeelov, Thomas E.; Quaranta, Vito; Evans, Katherine J.; Rericha, Erin C.

    2015-03-15

    We propose that the quantitative cancer biology community makes a concerted effort to apply lessons from weather forecasting to develop an analogous methodology for predicting and evaluating tumor growth and treatment response. Currently, the time course of tumor response is not predicted; instead, response is only assessed post hoc by physical examination or imaging methods. This fundamental practice within clinical oncology limits optimization of a treatment regimen for an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapiesmore » is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. Furthermore, with a successful methodology toward tumor forecasting, it should be possible to integrate large tumor-specific datasets of varied types and effectively defeat one cancer patient at a time.« less

  12. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    Broader source: Energy.gov [DOE]

    The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements.

  14. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

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

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

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

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

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

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

  17. Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2011-03-01

    The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

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

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

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

  19. The Value of Improved Wind Power Forecasting in the Western Interconne...

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

    of this research will facilitate a better functional understanding of wind forecasting accuracy and power system operations at various spatial and temporal scales.* Of particular ...

  20. Report of the external expert peer review panel: DOE benefits forecasts

    SciTech Connect (OSTI)

    None, None

    2006-12-20

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