National Library of Energy BETA

Sample records for forecast date actual

  1. DATE:

    Energy.gov [DOE] (indexed site)

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

  2. 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 ...

  3. 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: ...

  4. 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 ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. DATE:

    Energy.gov [DOE] (indexed site)

    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:

    Energy.gov [DOE] (indexed site)

    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:

    U.S. Department of Energy (DOE) - all 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

  11. 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...

  12. 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)

  13. Dated:

    U.S. Department of Energy (DOE) - all 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 Legacy Management (LM)

    a? ,itbd States Government memorandum Department of Energy DATE: APR 15 893 REPLY TO EM-421 (W. Williams, 903-8149) ATTN OF: Authorization for Remedial Action at the Former Associate Aircraft Site in SUBJECT: Fairfield, 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 action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). Force Control Industries is

  15. 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,

  16. [DATE]

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ______ This is a Request for Information (RFI) only. EERE will not pay for information provided under this RFI and no project will be supported as a result of this RFI. This RFI is not accepting applications for financial assistance or financial incentives. EERE may or may not issue a Funding Opportunity Announcement (FOA) based on consideration of the input received from this RFI. Supporting Clean Energy Start-ups: Industry and Investment Partnerships for Scaling Innovation DATE: October 19,

  17. Date

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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

  1. Solar Forecasting

    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....

  2. Forecast Change

    Annual Energy Outlook

    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 (centskWh) 12.06 12.09 12.58 13.04 12.95 12.84 ...

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

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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...

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  8. probabilistic energy production forecasts

    U.S. Department of Energy (DOE) - all 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 ...

  9. Wind Power Forecasting Data

    U.S. Department of Energy (DOE) - all 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...

  10. Solar Forecasting Technical Workshop

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Forecasting Technical Workshop August 3, 2016 901 D St SW, Suite #930, Washington, DC Agenda 8:00-8:30 Check-in 8:30-8:45 Welcome & Opening remarks Guohui Yuan, DOE 8:45-9:15 Overview of Motivation and Techniques for Solar Forecasting Jan Kleissl, UCSD 9:15-9:45 Collaborative Research on Solar Power Forecasting: Challenges, Methods, and Assessment Tara Jensen, NCAR 9:45-10:00 Break 10:00-10:30 Machine-learning Based Enhancements for Renewable Energy Forecasting: From Research to Applications

  11. Wind Power Forecasting

    U.S. Department of Energy (DOE) - all 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...

  12. Date | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  13. NREL: Transmission Grid Integration - Forecasting

    U.S. Department of Energy (DOE) - all 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 ...

  14. 2016 SSL Forecast Report

    Energy.gov [DOE]

    The DOE report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, is a biannual report which models the adoption of LEDs in the U.S. general-lighting market,...

  15. SSL Forecast Report

    Energy.gov [DOE]

    The DOE report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, is the latest edition of a biannual report which models the adoption of LEDs in the U.S....

  16. How People Actually Use Thermostats

    SciTech Connect

    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.

  17. 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

  18. 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 ...

  19. DATE: | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DATE: DATE: DATE: (349.94 KB) More Documents & Publications FAQS Job Task Analyses - DOE Aviation Manager FAQS Reference Guide - Aviation Manager FAQS Reference Guide - Aviation Safety Officer

  20. Posting Date: OPEN Posting Close Date: OPEN

    U.S. Department of Energy (DOE) - all 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

  1. Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill

    SciTech Connect

    Shukla, Shraddhanand; Voisin, Nathalie; Lettenmaier, D. P.

    2012-08-15

    We investigated the contribution of medium range weather forecasts with lead times up to 14 days to seasonal hydrologic prediction skill over the Conterminous United States (CONUS). Three different Ensemble Streamflow Prediction (ESP)-based experiments were performed for the period 1980-2003 using the Variable Infiltration Capacity (VIC) hydrology model to generate forecasts of monthly runoff and soil moisture (SM) at lead-1 (first month of the forecast period) to lead-3. The first experiment (ESP) used a resampling from the retrospective period 1980-2003 and represented full climatological uncertainty for the entire forecast period. In the second and third experiments, the first 14 days of each ESP ensemble member were replaced by either observations (perfect 14-day forecast) or by a deterministic 14-day weather forecast. We used Spearman rank correlations of forecasts and observations as the forecast skill score. We estimated the potential and actual improvement in baseline skill as the difference between the skill of experiments 2 and 3 relative to ESP, respectively. We found that useful runoff and SM forecast skill at lead-1 to -3 months can be obtained by exploiting medium range weather forecast skill in conjunction with the skill derived by the knowledge of initial hydrologic conditions. Potential improvement in baseline skill by using medium range weather forecasts, for runoff (SM) forecasts generally varies from 0 to 0.8 (0 to 0.5) as measured by differences in correlations, with actual improvement generally from 0 to 0.8 of the potential improvement. With some exceptions, most of the improvement in runoff is for lead-1 forecasts, although some improvement in SM was achieved at lead-2.

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

    SciTech Connect

    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.

  3. Could Material Defects Actually Improve Solar Cells?

    U.S. Department of Energy (DOE) - all 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,

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

    Energy Information Administration (EIA) (indexed site)

    Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ... (Washington, DC, September 25, 2014), Table 6.1, Coal Production and Waste Coal Supplied

  5. MEMORANDUM TO: FILE DATE-

    Office of Legacy Management (LM)

    ... to replace the statement "A Conmission Policy for Leasing Commission-Controlled Mining Properties," dated June 20, 1949. Upon your approval, we will use this statement to in ...

  6. A Scenario Generation Method for Wind Power Ramp Events Forecasting

    SciTech Connect

    Cui, Ming-Jian; Ke, De-Ping; Sun, Yuan-Zhang; Gan, Di; Zhang, Jie; Hodge, Bri-Mathias

    2015-07-03

    Wind power ramp events (WPREs) have received increasing attention in recent years due to their significant impact on the reliability of power grid operations. In this paper, a novel WPRE forecasting method is proposed which is able to estimate the probability distributions of three important properties of the WPREs. To do so, a neural network (NN) is first proposed to model the wind power generation (WPG) as a stochastic process so that a number of scenarios of the future WPG can be generated (or predicted). Each possible scenario of the future WPG generated in this manner contains the ramping information, and the distributions of the designated WPRE properties can be stochastically derived based on the possible scenarios. Actual data from a wind power plant in the Bonneville Power Administration (BPA) was selected for testing the proposed ramp forecasting method. Results showed that the proposed method effectively forecasted the probability of ramp events.

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

    U.S. Department of Energy (DOE) - all 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

    U.S. Department of Energy (DOE) - all 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. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect

    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.

  10. Forecast Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  11. The forecast calls for flu

    U.S. Department of Energy (DOE) - all 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 PAGES [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 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

    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. 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---...

  15. DATE SUBMITTED: GRADE LEVEL:

    U.S. Department of Energy (DOE) - all 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...

  16. Dating the Vinland Map

    ScienceCinema

    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.

  17. Solar Energy Market Forecast | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  18. 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 ...

  19. Intermediate future forecasting system

    SciTech Connect

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

    1983-12-01

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

  20. History of Radiocarbon Dating

    DOE R&D Accomplishments

    Libby, W. F.

    1967-08-15

    The development is traced of radiocarbon dating from its birth in curiosity regarding the effects of cosmic radiation on Earth. Discussed in historical perspective are: the significance of the initial measurements in determining the course of developments; the advent of the low-level counting technique; attempts to avoid low-level counting by the use of isotopic enrichment; the gradual appearance of the environmental effect due to the combustion of fossil fuel (Suess effect); recognition of the atmosphere ocean barrier for carbon dioxide exchange; detailed understanding of the mixing mechanism from the study of fallout radiocarbon; determination of the new half-life; indexing and the assimilation problem for the massive accumulation of dates; and the proliferation of measurement techniques and the impact of archaeological insight on the validity of radiocarbon dates. (author)

  1. Science on Tap - Forecasting illness

    U.S. Department of Energy (DOE) - all 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

  2. 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-2016-11-10.xlsx (70.03 KB) More Documents & Publications National Nuclear Security Administration - Juliana Heynes Small Business Program Manager Directory EA-1900: Notice of Availability of a Draft Environmental Assessment

  3. 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 ---...

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

    U.S. Department of Energy (DOE) - all 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:...

  5. Value of Wind Power Forecasting

    SciTech Connect

    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.

  6. 2016 Solar Forecasting Workshop | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solar Forecasting Workshop 2016 Solar Forecasting Workshop 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

  7. 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

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

    SciTech Connect

    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.

  9. 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 ...

  10. 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 Associate Aircraft Site, Fairfield, Ohio TO: Manager, DOE Oak Ridge Field Office This is to notify you that the Former Associated Aircraft Site in Fairfield, Ohio, is designated,for remedial action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). This notification does not constitute a FUSRAP baseline

  11. SPECIAL DATE AND TIME

    U.S. Department of Energy (DOE) - all 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

  12. Issuance Date:: February

    Office of Legacy Management (LM)

    Issuance Date:: February 11, 1966 POST-SHOT HYDROLOGI C SAFETY 68296 VUF-1014 FINAL REPORT FALLON, NEVADA OCTOBER 26, 1963 Hazleton-Nuclear Science Corporation October 30, 1965 SPONSORED BY THE ADVANCED RESEARCH PROJECTS AGENCY OF THE DEPARTMENT OF DEFENSE AND THE U. S.ATOMIC ENERGY COMMISSION VELA UNIFORM PROJECT LEG A L NOTICE This report was prepared as an account of Government sponsored work. Neither the United States, nor the Commission, nor any person acting on behalf of the Commission: A.

  13. 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

  14. Picture of the Week: Forecasting Flu

    U.S. Department of Energy (DOE) - all 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

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

    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

  16. 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 ...

  17. 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 ...

  18. EIA lowers forecast for summer gasoline prices

    Energy Information Administration (EIA) (indexed site)

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

  19. Wind Forecasting Improvement Project | Department of Energy

    Energy Saver

    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 ...

  20. July 2016 Systems Integration Solar Forecasting:

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2016 Systems Integration Solar Forecasting: Maximizing its value for grid integration Introduction The forecasting of power generated by variable energy resources such as wind and solar has been the focus of academic and industrial research and development for as long as significant amounts of these renewable energy resources have been connected to the electric grid. The progress of forecasting capabilities has largely followed the penetration of the respective resources, with wind forecasting

  1. Forecasting Water Quality & Biodiversity

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  2. 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 ...

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

    SciTech Connect

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

    2012-08-01

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

  4. 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 ...

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

    SciTech Connect

    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.

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

    U.S. Department of Energy (DOE) - all 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

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

    U.S. Department of Energy (DOE) - all 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...

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

    U.S. Department of Energy (DOE) - all 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...

  9. 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

  10. 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 ...

  11. OTS NOTE DATE: TO: FROM:

    Office of Legacy Management (LM)

    The .attached memorandum and supporting documents are the basis for our recommendation to ... Documents discovered to date which indicate use or handling of radioactive material by ...

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

    Energy Saver

    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)

  13. The Value of Wind Power Forecasting

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Wind Power Forecasting Preprint Debra Lew and Michael Milligan National Renewable Energy Laboratory Gary Jordan and Richard Piwko GE Energy Presented at the 91 st American ...

  14. July 2016 Systems Integration Solar Forecasting:

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... Those costs comprise fuel costs from expensive generators ... an improved-accuracy forecast of the solar power generation. ... analog ensemble for short-term probabilistic solar power ...

  15. NREL: Resource Assessment and Forecasting Home Page

    U.S. Department of Energy (DOE) - all 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:...

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

    Energy.gov [DOE] (indexed site)

    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 ...

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

    Energy.gov [DOE] (indexed site)

    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 ...

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

    Energy.gov [DOE] (indexed site)

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

  19. NREL: Resource Assessment and Forecasting - Webmaster

    U.S. Department of Energy (DOE) - all 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...

  20. Forecast and Funding Arrangements - Hanford Site

    U.S. Department of Energy (DOE) - all 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...

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

    SciTech Connect

    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.

  2. Property:Deployment Date | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  3. Property:Achievement Date | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  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. Date centerdTimes New Roman

    Energy.gov [DOE] (indexed site)

    ... 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 ...

  6. 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. ...

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

    U.S. Department of Energy (DOE) - all 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

  8. DATE:

    Office of Environmental Management (EM)

    Office of Policy, OAPM | Department of Energy Current Trends in Policy - What's new? - Berta Schreiber, Director, Office of Policy, OAPM Current Trends in Policy - What's new? - Berta Schreiber, Director, Office of Policy, OAPM New Uniform Financial Assistance Regulations DOE's financial assistance regulatory framework and environment have changed. In December, OMB issued new uniform regulations for financial assistance that combined previous OMB circulars under one set of regulations. Key

  9. DATE:

    Office of Legacy Management (LM)

    ... BWXaU N.Y.S. Dapartment Of. Law New York. New York ,.. --- . (' ? ( .' 6llMdL.I L..rn )' 1*e . -... . . . . . . . . . cnv. Prot. I)ur*au no&L 17-f R.Y.S. Daparbnent of Law ...

  10. DATE:

    U.S. Department of Energy (DOE) - all 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

  11. DATE:

    U.S. Department of Energy (DOE) - all 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

  12. DATE:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... provided in the following documents: * EPARODR10-00121, Record of Decision for the USDOE Hanford 100-Area, Benton County, Washington * EPA (2001), USDOE Hanford Site, First ...

  13. Dated:

    U.S. Department of Energy (DOE) - all 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:

    Office of Legacy Management (LM)

    ... November, 2013. Statistical Analysis of Rocky Flats Site-Specific Data. Tetra Tech. ... Drive Suite 200 W Watertown, CT 06795 USA +1-203-755-1666 Page 1 of 2 RFETS OLF ...

  15. 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...

  16. Date

    U.S. Department of Energy (DOE) - all 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 ...

  17. DATE

    U.S. Department of Energy (DOE) - all 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:...

  18. DATE:

    Office of Legacy Management (LM)

    by Altrachem, Inc., phone number 726-8659. The structure is multi-story (high bay) and is in fairly poor condition, but it appears a portion of it is used for office space. ...

  19. DATE:

    Office of Environmental Management (EM)

    Interest Certificates, Source Selection Training and Roles and Responsibilities. This Flash and its attachments will be available online within a day, at the following website: ...

  20. DATE:

    Energy.gov [DOE] (indexed site)

    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 ...

  1. [DATE

    Office of Environmental Management (EM)

    ... to strengthen the clean energy innovation ecosystem in ... from industry, academia, research laboratories, government ... constitute a formal solicitation for proposals or abstracts. ...

  2. DATE

    U.S. Department of Energy (DOE) - all 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 ...

  3. DATE

    U.S. Department of Energy (DOE) - all 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.: ...

  4. 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 ...

  5. 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, ...

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    effects of radiation damage, and fission products behavior at the IPyCSiC interface. ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  7. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of Advanced Fuels: Modeling Burnup Behavior SECTION B. Project Description The ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  8. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    SECTION A. Project Title: Tribological Behavior of Structural Materials in High ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  9. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The neutronic behavior of a light water reactor will be simulated in real-time and coupled ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Experiments will be conducted to investigate the water flow behavior within the risers and ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of Post-Accident iPWR Aerosol Behavior - Electric Power Research Institute, Inc. ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and pulsed electric currents on the deformation behavior of Fe-14Cr based NFA steels. ... References: B3.6 Siting, construction, modification, operation, and decommissioning of ...

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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, ...

  14. 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 ...

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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...

  16. DATE:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... two components (aluminum and chromium) met ... RPP-40149-VOL2, Rev. 2 9-2 5. Conduct studies to ... use for WFD operations 8. Update the operating scenario and process strategy, if ...

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: Nuclear Fabrication Consortium SECTION B. Project Description The mission of the NFC will be accomplished through both public and private funding. The list below outlines the programs that have identified for initiation under the initial DOE funding. Additional programs are envisioned and will be proposed, subject to any applicable budget constraints, to DOE-NE as they become known to EWI, the NFC, and DOE. 1. Automation of Advanced Non-Destructive Evaluation (NDE)

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    12 SECTION A. Project Title: Reactor Power Up Rate, Compressor Replacement, Neutron Radiography Restore, Liquid Scintillation Counter - Texas A&M University SECTION B. Project Description Texas A&M will replace an existing 54-year old compressor to improve reliability of the reactor operation and purchase a liquid scintillator counter to give the facility the ability to perform tritium analysis. Additionally, under NRC License R-83, Texas A&M will up rate the reactor power from 1MW

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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)

  20. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4-006 SECTION A. Project Title: Design of SC Walls and Slabs for Impulsive Loading - Purdue University SECTION B. Project Description Purdue University proposes to analytically investigation the behavior and strength of modular steel-plate composite (SC) slabs and floor systems, analytically investigate the behavior and performance of SC structures subjected to impulsive loading including blast effects, experimentally verify the findings of analytical investigations, and develop design

  1. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    8 SECTION A. Project Title: Full-field Temperature and Strain Measurements at Extreme Temperatures - Utah State University SECTION B. Project Description Utah State University proposes to purchase and install a multi-camera system for recording simultaneous full-field temperature and strain measurements for thermos-mechanically loaded nuclear materials under extreme environments. SECTION C. Environmental Aspects / Potential Sources of Impact The action consists of purchasing equipment to be used

  2. DATE

    U.S. Department of Energy (DOE) - all 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 Description Clemson University proposes to purchase a High Temperature Melt Calorimeter that will support ongoing work to advance the fundamental understanding of high-temperature ceramic materials used in nuclear energy applications through the use of melt solution calorimetry resulting in uniquely determined experimental

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    0 SECTION A. Project Title: Enhance Nuclear Education and Training at Aiken Technical College SECTION B. Project Description Aiken Technical College proposes to purchase and install a flow loop trainer to educate and train students for careers in the nuclear industry. SECTION C. Environmental Aspects / Potential Sources of Impact Chemical Use/Storage / Chemical Waste Disposal - No waste is generated during the manufacturing process, however each machine is equipped with a closed loop system

  4. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: Nuclear Engineering and Science Equipment for Strategic Fuels Analysis Research in the Nuclear and Radiological Engineering Program at the Georgia Institute of Technology SECTION B. Project Description Georgia Tech proposes to purchase and install an imaging system to go with the existing x-ray source in a fully equipped irradiation laboratory, addition of spectroscopic instruments to perform energy resolution measurements in supplement of imaging, and tissue

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 SECTION A. Project Title: Automated Chromatography System for Purification of New Reagents for An/Ln Extraction and Separation - Washington State University SECTION B. Project Description Washington State University proposes to purchase and install a Teledyne Isco CombiFlash Rf+ Luman with UV-Vis and Evaporative Light Scattering Detector to improve the current purification abilities for newly designed and synthesized organic ligands. SECTION C. Environmental Aspects / Potential Sources of

  7. DATE

    U.S. Department of Energy (DOE) - all 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 of Nevada Reno proposes to purchase and install a Raman Spectrometer on the existing water loop for in situ analysis of materials to be used to characterize the surface chemistry of various alloys, understand the effect of mechanical stress on corrosion behavior of alloys, and improve nuclear education at UNR. SECTION

  8. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  9. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6 SECTION A. Project Title: Equipment for Education, Training, and Research in Advanced Instrumentation for Fluoride Salt Cooled High-Temperature Reactors (FHRs) at The Ohio State University SECTION B. Project Description Ohio State University proposes 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 decay, a Fourier Transform Infrared spectrometer to measure the optical

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 SECTION A. Project Title: Impact Test Machine for Nuclear Containment Research - University of Houston SECTION B. Project Description The University of Houston proposes to upgrade the university's Universal Element Tester with an Impact Test Machine to advance the study on impact and shear behavior of the nuclear containment structure. SECTION C. Environmental Aspects / Potential Sources of Impact The action consists of purchasing equipment to be used in research and teaching. The action would

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 SECTION A. Project Title: Design/Prototype Fabricate Rail Car for High Rad Mat Transport - Kasgro Rail Corp. SECTION B. Project Description The purpose of this proposal is to obtain a certification from the American Association of Railroads (AAR) on a fully constructed and tested railcar system for transporting spent nuclear fuel (SNF). The transport system will allow transporting SNF by rail to occur at normal rail speeds thus eliminating delays on rail lines and all more rapid transport of

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5-085 SECTION A. Project Title: Deep Borehole Field Test (DBFT) Characterization Borehole Drilling and Testing, Pierce County, N.D. - Battelle Memorial Institute SECTION B. Project Description The primary goal of the DBFT program is to drill a 5,000-meter-deep characterization borehole with a 3,000-meter open-hole section across crystalline bedrock, and to conduct scientific testing to characterize the hydrogeologic, geochemical, and geomechanical properties of the near-borehole host rock. The

  14. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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)

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  16. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6 SECTION A. Project Title: Integrated Effects Testing & Molten Chloride Fast Reactor Development - Southern Company Services, Inc. SECTION B. Project Description Southern Company Services, in collaboration with TerraPower, LLC and Oak Ridge National Laboratory (ORNL), proposes to advance the technology readiness of the Molten Chloride Fast Reactor (MCFR) technology under development by TerraPower in support of commercial offering by 2035. To support the licensing, detail design, and

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  20. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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,

  1. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  2. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  4. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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-

  7. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  8. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  9. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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,

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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,

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  14. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  16. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 SECTION A. Project Title: A Computational-Experimental Study to Simulate Mixing and Thermal Stratification in SFRs - Kansas State University SECTION B. Project Description Kansas State University, in collaboration with the University of Illinois and Argonne National Laboratory, proposes to use thermographic imaging and Ultrasonic Doppler Velocimetry techniques to generate high fidelity thermal stratification and flow field data under various geometric and physical conditions for scaled modes

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  20. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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.

  1. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  2. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  4. DATE

    U.S. Department of Energy (DOE) - all 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

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  7. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  8. DATE

    U.S. Department of Energy (DOE) - all 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

  9. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  10. DATE

    U.S. Department of Energy (DOE) - all 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

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  14. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  16. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: A Coupled Experimental and Simulation Approach to Investigate the Impact of Grain Growth, Amorphization, and Grain Subdivision in Accident Tolerant U3Si2 Light Water Reactor Fuel - Pennsylvania State University SECTION B. Project Description Pennsylvania State University, in collaboration with Rensselaer Polytechnic Institute, Idaho National Laboratory, proposes to investigate the potential impact of grain structure change, specifically grain growth, subdivision, and

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  20. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  1. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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

  2. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 SECTION A. Project Title: DOE Traineeship in Nuclear and Radiochemistry at Washington State University and Colorado School of Mines SECTION B. Project Description Washington State University and the Colorado School of Mines propose to train graduate students in radiochemistry through an innovative pathway, involving a mature academic radiochemistry program at Washington State University (WSU) and a similar emerging program at Colorado School of Mines (CSM), in partnership with three national

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 SECTION A. Project Title: ISU AGN-201 Reactor Safety Channels Upgrade - Idaho State University SECTION B. Project Description This project is to replace the aging (and obsolete) detectors necessary for the operation of the AGN-201 research reactor at Idaho State University. The reactor is used by both faculty and students at ISU for the purposed of education, research and training. Currently, three antiquated BF3 filled radiation detectors serve the reactor safety channels. BF3 detectors are

  4. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4 SECTION A. Project Title: In Situ Raman Spectroscopy for Determining Actinide Speciation and Concentration - University of Nevada, Reno SECTION B. Project Description The University of Nevada, Reno proposes to investigate the ability of in situ Raman spectroscopy to determine the composition of the electrolyte in the electrorefiner by characterizing the Raman spectrum of lanthanides in molten LiCl-KCl-UCl3. Furthermore, it will evaluate the use of the technique in real time while the U metal

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: In Situ Raman Spectroscopy for Determining Actinide Speciation and Concentration - Rensselaer Polytechnic Institute SECTION B. Project Description Rensselaer Polytechnic Institute proposes an innovative program to develop oxidation/corrosion resistant uranium silicide U 3 Si 2 fuels by chemical doping/fillers to form a continuous borosilicate glass as a protective oxide layer with transformational fuel performance and accident tolerance. The chemical doping/fillers

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 SECTION A. Project Title: Enhancement of EM Pump Performance Through Modeling and Testing - University of Wisconsin SECTION B. Project Description The University of Wisconsin proposes to develop empirical and computer generated data to accurately predict or minimize end effects in new electromagnetic (EM) pumps. For this project, experimental data will be obtained using novel local velocity, temperature, and three-dimensional magnetic field assessment instruments. The techniques involved for

  7. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    8 SECTION A. Project Title: Sodium-Cooled Fast Reactor Key Modeling and Analysis for Commercial Deployment - University of Wisconsin SECTION B. Project Description The University of Wisconsin proposes to conduct a series of experiments with advanced temperature and fluid measurement instrumentation (optical fibers, ultrasonic Doppler imaging, magnetic flow sensors, and hot wires) to obtain high fidelity data on thermal striping and thermal stratification in liquid sodium. To achieve this, a

  8. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 SECTION A. Project Title: Microstructure Experiments-Enabled MARMOT Simulations of SiC/SiC-based Accident Tolerant Nuclear Fuel System - North Carolina State University SECTION B. Project Description North Carolina State University proposes to characterize steam attack, hydrothermal corrosion, and radiation swelling of SiC/SiC composites-based accident tolerant fuel (ATF) using a combination of experiments, microstructure evaluation and phase-field simulations using MARMO - a MOOSE-based code.

  9. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: Experimental and Modeling Investigation of Overcooling Transients that include Freezing, in Fluoride-Salt Cooled High-Temperature Reactors (FHRs) - University of Wisconsin SECTION B. Project Description The University of Wisconsin proposes to recommendations for design features of FHR reactor components that would take advantage of the phenomena characteristic to fluoride salts in order to be resilient to overcooling, and to recover gracefully from over-cooling

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6 SECTION A. Project Title: Advanced Electrochemical Separations of Actinide/Fission Products via the Control of Nucleation and Growth of Electrodeposits - University of Idaho SECTION B. Project Description The University of Idaho proposes to find ways to preclude the formation of electrodeposits with dendritic morphology for use in the pyrochemical reprocessing of spent nuclear fuels. The objectives of the proposed research are to: 1. Study the morphology (nucleation and growth) of

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 SECTION A. Project Title: Irradiation Performance Testing of Specimens Produced by Commercially Available Additive Manufacturing Techniques - Colorado School of Mines SECTION B. Project Description The Colorado School of Mines, in collaboration with the Idaho National Laboratory, proposes to collect first-ever irradiation performance data for stainless steel and Inconel specimens produced using a range of commercially available additive manufacturing techniques. The University will conduct

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    8 SECTION A. Project Title: Transient Reactor Experiments to Validate MBM Fuel Performance Simulations (TREAT) - Utah State University SECTION B. Project Description Utah State University, in collaboration with Texas A&M University, University of South Carolina, and Idaho National Laboratory, proposes to conduct benchmark experiments to provide critical validation data for reactivity initiated accident (RIA) scenarios in LWRs. The proposed research includes separate effect experiments at the

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    099 SECTION A. Project Title: Effects of High Dose on Laser Welded, Irradiated AIUSI 304SS - Boise State University SECTION B. Project Description Boise State University, in collaboration with Texas A&M University, Purdue University, the Westinghouse Materials Center of Excellence, and Idaho National Laboratory, proposes to assess the mechanical integrity of laser weld repairs of highly irradiated, He- containing AISI 304 stainless steel under extended LWR service conditions. After laser

  14. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    0 SECTION A. Project Title: Continued Development of LWR Fuel with Enhanced Accident Tolerance - AREVA Federal Services LLC SECTION B. Project Description AREVA Federal Services, in collaboration with EPRI, and Idaho National Laboratory, proposes to perform the necessary irradiation and testing, manufacturing integration, and analyses of the Cr-Cr2O3 concept to support the fabrication and insertion of Enhanced Accident Tolerant Fuel (EATF) Lead Fuel Rods/Lead Fuel Assemblies (LFR/LFAs) and

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: Accident Tolerant Fuel Program Extension - Westinghouse Electric Company LLC SECTION B. Project Description Westinghouse Electric Company, in collaboration, Los Alamos National Laboratory, Oak Ridge National Laboratory, Idaho National Laboratory and several universities, companies, utilities and foreign entities, proposes to develop and deploy Lead Test Rods (LTRs) by 2019 and Lead Test Assemblies (LTAs) by 2022 of Westinghouse's Enhanced Accident Tolerant Fuel (ATF).

  16. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 SECTION A. Project Title: Continued Development of LWR Fuel with Enhanced Accident Tolerance - GE Global Research SECTION B. Project Description GE Global Research, in collaboration with Idaho National Laboratory, proposes to evaluate iron-chrome -aluminum (FeCrAl) alloys as cladding material for uranium dioxide (UO2) fuel in light water reactors. The major tasks to be performed as part of the program include: 1. FeCrAl tube fabrication and testing 2. Interactions with the Nuclear Regulatory

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    09-001 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis are addressed. All of the

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    02 SECTION A. Project Title: INL - Off-Road ATV Use In Support of Engineering Surveys SECTION B. Project Description The proposed action will allow for off-road ATV use near T-24 and T-25 at the Idaho National Laboratory Site. The ATV(s) will be used to survey in support of engineering design for a proposed upgraded haul road within the INL Site. Currently, an Environmental Assessment is being prepared to address upgrading either T-24 or T-25 to establish a site transportation route for the

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 SECTION A. Project Title: INL - Site Wide Well Abandonment Activities SECTION B. Project Description The proposed 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 the Idaho Department of Water Resources (IDWR) requirements, as applicable. The wells to be abandoned are located both within the INL facility boundaries and outside of the INL facility boundaries. The proposed

  20. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 CX Posting No.: DOE-ID-ICP-12-002 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis

  1. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2-003 SECTION A. Project Title: CPP-684 - Remote Analytical Laboratory Facility Modifications SECTION B. Project Description The proposed activities are intended to render CPP-684 Remote Analytical Laboratory (RAL) as a limited access area by removing existing operational functions that are currently performed in the facility. In general, the activities will involve (1) removing the need for building heat and overall reduction of power consumption; (2) converting the existing fire protection

  2. DATE

    U.S. Department of Energy (DOE) - all 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

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: Spent Resin Removal and Addition of New Resin to Ion Exchange (IX) Columns Located at CPP- 666 SECTION B. Project Description The proposed action will transfer spent resins from hold tanks located inside CPP-666 to on-site vendor-owned and operated resin dewatering equipment (EnergySolutions), with off-site disposal of the dewatered resins at the Nevada National Security Site. This process is required to maintain water cleanliness and remove radionuclides and

  4. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 SECTION A. Project Title: Spent Resin Removal and Addition of New Resin to Ion Exchange (IX) Columns Located at CPP- 666 SECTION B. Project Description The proposed action will transfer spent resins from hold tanks located inside CPP-666 to on-site vendor-owned and operated resin dewatering equipment (EnergySolutions), with off-site disposal of the dewatered resins at the Nevada National Security Site. This process is required to maintain water cleanliness and remove radionuclides and

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4 SECTION A. Project Title: INTEC - CPP-603 Large Cask Adaptability SECTION B. Project Description DOE is responsible for the safe storage of Spent Nuclear Fuel (SNF) in its possession as well as obtaining data to verify the condition of SNF currently being stored in large storage casks at the INL Site. To meet this responsibility, DOE needs to open and examine the low-burnup SNF currently in long-term dry storage to verify the condition of the fuel and look for any degradation. DOE examined

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: INTEC - Macroencapsulation/Overpack Operations in CPP-659 and CPP-1617 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 macroencapsulation process is

  7. DATE

    U.S. Department of Energy (DOE) - all 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

  8. DATE

    U.S. Department of Energy (DOE) - all 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

  9. DATE

    U.S. Department of Energy (DOE) - all 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

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 SECTION A. Project Title: CFA-696 Power and Plumbing Upgrades SECTION B. Project Description: There is insufficient electrical power in the East Bay and the West Bay of the Central Facility Area (CFA) Transportation Complex to allow the craftsmen to fully utilize the available floor space without the use of extension cords. Additionally, a new hydraulic hose clamper is to be installed in the Parts Room and it needs a dedicated 30A power supply. The craftsmen also need another wash sink in the

  11. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 SECTION A. Project Title: MFC Dial Room Replacement Project SECTION B. Project Description: The proposed project is to construct and operate a new dial room at the Materials and Fuels Complex (MFC) to continue operation of the telecommunications system at the Idaho National Laboratory (INL). As part of the INL Private Branch Exchange (PBX) consolidation effort, the need to replace Central Facilities Area (CFA), Radioactive Waste Management Complex (RWMC), and Power Burst Facility (PBF) PBX

  12. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4 SECTION A. Project Title: Characterization of Fluidized Beds via Pressure Fluctuation Analysis SECTION B. Project Description: The purpose of this work is to conduct research using pressure as a measure of performance for fluidized beds (spouted, bubbling, or slugging) at the Center for Advanced Energy Studies (CAES). The approach to this research activity consists of two main tasks: 1. Sieving the bed media with a motorized sieve shaker - sintered aluminosilicate spheres (used in the

  13. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: Replace 200,000 Gallon Water Storage Tank at MFC SECTION B. Project Description: The project is to replace the current 200,000 gallon potable water tank at the Idaho National Laboratory (INL) Materials and Fuels Complex (MFC) with a new 300,000 gallon water tank. The existing tank and foundation will be removed and the waste materials managed and disposed under the direction of Waste Generator Services (WGS). The installation area for the new tank will be excavated

  14. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6 SECTION A. Project Title: TRA-653 HVAC Modifications SECTION B. Project Description: The proposed project plans to replace the existing blowers, swamp coolers and electric heaters in the Idaho National Laboratory (INL) Test Reactor Area-653 (TRA-653) office area with three roof mounted heating, ventilating and air conditioning (HVAC) units; and install six roof mounted HVAC units at the TRA-653 machine shop area. These modifications are needed to enhance workplace habitability, maintain a more

  15. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 SECTION A. Project Title: TRA-609 Compressed Air System Drain Line Modification and Valve Replacement SECTION B. Project Description: Due to periods of insufficient water flow to the sewer ponds, the clay liners in the ponds can dry out and crack. This proposed action is to add an additional drain line, which will allow clean well water that has been used to cool compressors to then be drained into the sewer system ponds during low flow periods in order to maintain a higher, more consistent

  16. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CX Posting No.: DOE-ID-INL-10-008 SECTION A. Project Title: Maintenance and Modification of Well TRA-08 SECTION B. Project Description: TRA-08, a groundwater monitoring well located approximately 1.5 miles south of the ATR Complex was drilled and constructed in 1990. The well is currently used as a groundwater monitoring compliance point for the ATR Complex Cold Waste Pond Industrial Wastewater Reuse Permit (IWRP). It is also used for CERCLA groundwater monitoring by CWI. Over the life of the

  17. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    10-009 SECTION A. Project Title Idaho Falls (IF)-608 Uninterrupted Power Supply Upgrade Project SECTION B. Project Description: This project increases the Uninterrupted Power Supply (UPS) capacity in the IF-608 Information Operations and Research Center (IORC) by removing two existing UPS systems (50 KVA and 36 KVA) and installing a 225 KVA system. A ~15 ton cooling unit will be installed on the roof for heat removal. Associated work will include additional electrical panel(s) and electrical

  18. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    0 SECTION A. Project Title: Test Reactor Cask Implementation. SECTION B. Project Description: This proposed action is a process and facility modification. Background / Purpose & Need The Advanced Test Reactor (ATR) uses the Naval Reactors (NR) Casks to transport test trains between the Naval Reactors Facility (NRF) Expended Core Facility and the ATR. The Naval Reactor (NR) Casks, however, are approaching the end of their design life. In 1997, Bettis initiated a contract for construction of

  19. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    EC Document No.: DOE-ID-INL-10-011 DIRECTIONS: Responsible Managers, Project Environmental Lead, and Environmental Support personnel complete this form by following the instructions found at the beginning of each section and submit to Environmental Support & Services (environmental.checklist@inl.gov). SECTION A. Project Title: CFA and ATR-Complex Analytical and R&D Laboratory Operation (Overarching) SECTION B. Project Description: This EC replaces overarching EC INL-05-017 due to changes

  20. DATE

    U.S. Department of Energy (DOE) - all 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

  1. DATE

    U.S. Department of Energy (DOE) - all 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,

  2. DATE

    U.S. Department of Energy (DOE) - all 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

  3. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    16 SECTION A. Project Title: GaRDS Vehicle X-Ray System Procurement, Installation and Operations SECTION B. Project Description: . This effort will be to procure, install, and operate a Gamma Radiation Detection System (GaRDS) capable of providing X-Ray images of incoming vehicles and delivery trucks. The scanner will be equipped with a 1 Ci Cobalt-60 gamma source and will be installed in building MFC-736. This security building is located on Taylor Blvd approximately one mile south of the

  4. DATE

    U.S. Department of Energy (DOE) - all 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

  5. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 of 2 CX Posting No.: DOE-ID-INL-14-018 SECTION A. Project Title: Materials and Fuel Complex (MFC)-782 Fire Sprinkler Installation SECTION B. Project Description: MFC-782 (Machine Shop) does not currently have a fire sprinkler system. In order to be in compliance with National Fire Protection Association (NFPA) requirements, an automated sprinkler system needs to be installed. The proposed project would consist of removing existing fire water line, drain line, potable water line, fire alarm

  6. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-14-019 SECTION A. Project Title: Advanced Test Reactor (ATR) Electronic Message Board Installation SECTION B. Project Description: The scope of work for this project involves the installation of a new electronic information sign at the south end of the sidewalk by the guardhouse (Test Reactor Area [TRA]-658). The sign would be mounted on metal posts just south of the first sidewalk light pole. The new sign would be powered from the

  7. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Environmental Checklist Page 1 of 1 CX Posting No.: DOE-ID-INL-14-021 SECTION A. Project Description: Remote Closure Switch for Test Reactor Area (TRA)-786 Output Breaker SECTION B. Project Description: . The TRA-786 diesel generator output breaker has a high arc flash calculation that requires the operator to use heavy, cumbersome personal protective equipment (PPE) when closing the breaker. This breaker is located in the doorway of a trailer that is approximately 5 feet off the ground. There

  8. DATE

    U.S. Department of Energy (DOE) - all 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

  9. DATE

    U.S. Department of Energy (DOE) - all 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

  10. DATE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6/23/2014 Rev. 20 Idaho National Laboratory Environmental Checklist Page 1 of 13 EC Document No.: INL-14-044 R1 DIRECTIONS: Responsible Managers, Principle Investigator/Researcher, Program Environmental Lead (PEL), and Environmental Support personnel complete this form by following the instructions found at the beginning of each section (A-G and the Approval' and Signature' blocks) and submit to Environmental Support & Services (see Environmental Points of Contact, NEPA/Environmental

  11. DATE

    U.S. Department of Energy (DOE) - all 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 ...

  12. Study forecasts disappearance of conifers due to climate change

    U.S. Department of Energy (DOE) - all 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 ...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

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

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

    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 ...

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

    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)" ...

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 ... (Washington, DC, September 25, 2014), Table 6.1, Coal Production and Waste Coal Supplied

  18. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect

    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.

  19. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update

    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

  20. 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 ...

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    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 ...

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    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 ...

  3. Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  5. Offshore Lubricants Market Forecast | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

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  7. Flood Forecasting in River System Using ANFIS

    SciTech Connect

    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.

  8. ARM - CARES - Tracer Forecast for CARES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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 contains 72-hr...

  9. Text-Alternative Version LED Lighting Forecast

    Energy.gov [DOE]

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

  10. energy data + forecasting | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  11. Property:StartDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  12. Property:EndDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  13. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect

    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.

  14. Funding Opportunity Announcement: Solar Forecasting 2 | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Solar Forecasting 2 Funding Opportunity Announcement: Solar Forecasting 2 Subprogram: Systems Integration Funding Number: DE-FOA-0001649 Funding Amount: $10 million Description The Solar Forecasting 2 funding program will support projects that enable grid operators to better forecast how much solar energy will be added to the grid and accelerate the integration of these forecasts into energy management systems used by grid operators and utility companies. These tools will enable grid

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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 ...

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

    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...

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

    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 ...

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

    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...

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

    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,...

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

    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...

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

    SciTech Connect

    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.

  2. 1994 Solid waste forecast container volume summary

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  4. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update

    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 -

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

    SciTech Connect

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

    2015-11-10

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

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

    DOE PAGES [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 onmore » state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.« less

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

    U.S. Department of Energy (DOE) - all 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. ...

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

    Energy Saver

    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 ...

  9. Solar Forecasting Gets a Boost from Watson, Accuracy Improved...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM ...

  10. PBL FY 2003 Second Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all 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...

  11. Wind power forecasting in U.S. electricity markets.

    SciTech Connect

    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.

  12. Wind power forecasting in U.S. Electricity markets

    SciTech Connect

    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)

  13. Improving the Accuracy of Solar Forecasting Funding Opportunity |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Improving the Accuracy of Solar Forecasting Funding Opportunity Improving the Accuracy of Solar Forecasting Funding Opportunity 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 stakeholders better forecast when, where, and how much solar power will be produced at the desired locations in the United States. More accurate solar

  14. Combined Heat And Power Installation Market Forecast | OpenEI...

    OpenEI (Open Energy Information) [EERE & EIA]

    Combined Heat And Power Installation Market Forecast Home There are currently no posts in this category. Syndicate...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  16. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  18. Issues in midterm analysis and forecasting, 1996

    SciTech Connect

    1996-08-01

    This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

  19. Issues in midterm analysis and forecasting 1998

    SciTech Connect

    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.

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

    SciTech Connect

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

    2015-10-05

    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.

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

    SciTech Connect

    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

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  4. "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...

  5. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect

    Zhang, J.; Hodge, B. M.

    2014-04-01

    This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

  6. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect

    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.

  7. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect

    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.

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

    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

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

    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

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

    SciTech Connect

    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

  11. Property:NEPA ApplicationDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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. Forecasting hotspots using predictive visual analytics approach

    SciTech Connect

    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.

  13. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect

    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.

  14. A survey on wind power ramp forecasting.

    SciTech Connect

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J.

    2011-02-23

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  15. Global disease monitoring and forecasting with Wikipedia

    DOE PAGES [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: 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

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

    SciTech Connect

    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.

  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. 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...

  19. Property:GEAReportDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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:...

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

    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

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

    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

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

    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

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

    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

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

    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

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

    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",2507.55,2372.5,2255.7,2160.8,2087.8,2022.1,1952.75,1890.7,1850.55,1825,1799.45,1781.2,1766.6,1759.3,1777.55,1788.5,1806.75,1861.5 "AEO

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

    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

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

    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

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

    SciTech Connect

    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.

  9. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect

    Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

    2013-10-01

    Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

  10. Wind speed forecasting in the central California wind resource area

    SciTech Connect

    McCarthy, E.F.

    1997-12-31

    A wind speed forecasting program was implemented in the summer seasons of 1985 - 87 in the Central California Wind Resource Area (WRA). The forecasting program is designed to use either meteorological observations from the WRA and local upper air observations or upper air observations alone to predict the daily average windspeed at two locations. Forecasts are made each morning at 6 AM and are valid for a 24 hour period. Ease of use is a hallmark of the program as the daily forecast can be made using data entered into a programmable HP calculator. The forecasting program was the first step in a process to examine whether the electrical energy output of an entire wind power generation facility or defined subsections of the same facility could be predicted up to 24 hours in advance. Analysis of the results of the summer season program using standard forecast verification techniques show the program has skill over persistence and climatology.

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

    SciTech Connect

    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.

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

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf] campaign was scheduled to take place from 15 July

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

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf] campaign was scheduled to take place from 15 July

  14. Funding Opportunity Announcement for Wind Forecasting Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    in Complex Terrain | Department of Energy Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain April 4, 2014 - 9:47am Addthis On April 4, 2014 the U.S. Department of Energy announced a $2.5 million funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex

  15. 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 Team roster: Dan Paikowsky, Management; Christian Bain, Entrepreneurship; Noah Meunier, Mechanical Engineering &

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy 6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices. In addition, this module will outline forecasting tools such as estimate to complete (ETC) and estimate at completion (EAC). Begin Module >> (471

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Benefits Forecasts: Report of the External Peer Review Panel DOE Benefits Forecasts: Report of the External Peer Review Panel A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts. Report of the External Peer Review Panel (777.84 KB) More Documents & Publications Industrial Technologies Funding Profile by Subprogram Survey of Emissions Models for Distributed Combined Heat and Power

  18. 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

  19. Property:OpenEI/PublicationDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  20. Property:Geothermal/ProjectEndDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  1. Property:Geothermal/ProjectStartDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  2. Property:Estimated End Date | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  3. Validation of Global Weather Forecast and Climate Models Over...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Validation of Global Weather Forecast and Climate Models Over the North Slope of Alaska Xie, Shaocheng Lawrence Livermore National Laboratory Klein, Stephen Lawrence Livermore ...

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

    Office of Environmental Management (EM)

    Addthis Related Articles DOE Releases Latest Report on Energy Savings Forecast of Solid-State Lighting DOE Publishes Pricing and Efficacy Trend Analysis for Utility Program ...

  5. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect

    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.

  6. NREL: Resource Assessment and Forecasting - Data and Resources

    U.S. Department of Energy (DOE) - all 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 ...

  7. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis: Preprint

    SciTech Connect

    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.

  8. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis

    SciTech Connect

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-10-02

    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 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, ...

  10. 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. ...

  11. FY 2004 Second Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all 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...

  12. PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all 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...

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

    Energy Saver

    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 ...

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

    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

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

    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

  16. Selected papers on fuel forecasting and analysis

    SciTech Connect

    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.

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

    U.S. Department of Energy (DOE) - all 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.

  18. Property:NEPA RevisedApplicationDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  19. Property:NEPA ScopingInitiatedDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  20. Property:NEPA DecisionDocumentDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  1. Property:File/CreationDate | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  2. Voluntary Green Power Market Forecast through 2015

    SciTech Connect

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  3. Home Energy Score: Analysis & Improvements to Date

    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.

  4. 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...

  5. 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)...

  6. 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)...

  7. 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...

  8. 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...

  9. : 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 : ?ZH-Division Leader ,WE,T : ENVIRONMENTAL RADIOACTIVITY SURVEY OF LOS ALAMOS COMIMUNITY ...

  10. Company Company Code Fiscal Year Submission Date

    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., ...

  11. 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 ...

  12. 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 ...

  13. Willard Libby, Radiocarbon, and Carbon Dating

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Willard Libby, Radiocarbon, and Carbon Dating Resources with Additional Information * Radiocarbon Dating Willard Libby Courtesy UCLA Photography 'Scientific discoveries of various magnitudes are constantly occurring in myriad fields of study. It is a rarity, however, to make a breakthrough that not only has an impact on an individual field but also revolutionizes scientific thought across multiple disciplines. Willard Frank Libby accomplished this feat. Libby first proposed his idea of carbon

  14. Technical analysis in short-term uranium price forecasting

    SciTech Connect

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

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

    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

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

    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 88.0 89.5 90.7 91.7 92.7 93.6 94.6 95.7 96.7 97.7 98.9 100.0 100.8 101.7 102.7 103.6 104.3 105.2 AEO 1995 89.2 90.0 90.6 91.9 93.0 93.8 94.6 95.3 96.2 97.2 98.4 99.4 100.3 101.2 102.1 102.9 103.9 AEO 1996 90.6 91.3 92.5 93.5 94.3 95.1 95.9 96.9 98.0 99.2 100.4 101.4 102.1 103.1 103.8 104.7 105.5 106.5 107.2

  18. Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual

    Energy Information Administration (EIA) (indexed site)

    Total Delivered Residential 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 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 12.0 12.1

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

    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

  20. Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual

    Energy Information Administration (EIA) (indexed site)

    Total Delivered Industrial 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 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 29.4 29.6

  1. Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual

    Energy Information Administration (EIA) (indexed site)

    Total Delivered Transportation 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 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 29.3

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

    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

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

    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

  4. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  5. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  6. Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts

    Reports and Publications

    2010-01-01

    The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  9. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect

    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)

  10. Posting Date: 11/09/2016 Posting Close Date: 11/17/2016

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    09/2016 Posting Close Date: 11/17/2016 North American Industry Classification System (NAICS) code for the request: 561720 Estimated Subcontract/PO Value: TBD Estimated Period of Performance Oct 2017 - Sep 2022 Estimated RFP/RFQ Release Date: Apr 3, 2017 Estimated Award Date: Jul 31, 2017 Competition Type: SB Set-Aside Buyer Contact Email: boule_earl_m@lanl.gov Title: Laboratory Custodial Service Description of Product or Service Required Custodial Service for Government owned buildings located

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

    U.S. Department of Energy (DOE) - all 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...

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

    U.S. Department of Energy (DOE) - all 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...

  13. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect

    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

  14. Computational Age Dating of Special Nuclear Materials

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  16. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema

    Gonzalez, Frank

    2016-07-12

    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.

  17. 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

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

    SciTech Connect

    Lantz, E.; Hand, M.

    2010-05-01

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

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

    Energy.gov [DOE]

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

  20. Solar Trackers Market Forecast | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    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,...

  1. Energy Forecasting Framework and Emissions Consensus Tool (EFFECT...

    OpenEI (Open Energy Information) [EERE & EIA]

    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....

  2. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect

    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.

  3. Recently released EIA report presents international forecasting data

    SciTech Connect

    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.

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

    Energy.gov [DOE] (indexed site)

    The sixth iteration of the Energy Savings Forecast of Solid-State Lighting in General Illumination Applications compares the annual lighting energy consumption in the U.S. with and ...

  5. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect

    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.

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

    Energy.gov [DOE] (indexed site)

    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 ...

  7. 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 ...

  8. Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels

    Reports and Publications

    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.

  9. 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...

  10. 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...

  11. 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 ...

  12. 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 ...

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

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    Office of Environmental Management (EM)

    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

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

    Energy Saver

    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 ...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  18. 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,

  19. Study forecasts disappearance of conifers due to climate change

    U.S. Department of Energy (DOE) - all 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

  20. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National

    Office of Scientific and Technical Information (OSTI)

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

  1. Project Profile: Forecasting and Influencing Technological Progress in

    Energy Saver

    Solar Energy | Department of Energy Soft Costs » Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of North Carolina at Charlotte, Arizona State University, and the University of Oxford. -- This project is inactive -- The University of North Carolina at Charlotte, along with their partners at Arizona State University and the University of Oxford,

  2. Weather-based forecasts of California crop yields

    SciTech Connect

    Lobell, D B; Cahill, K N; Field, C B

    2005-09-26

    Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

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

    Energy Saver

    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 ...

  4. 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 ...

  5. 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...

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. 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 ...

  9. Jupiter Laser Facility Target Fab Request Requester: Date...

    U.S. Department of Energy (DOE) - all 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:

  10. Notice of Intent to Issue Solar Forecasting 2 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solar Forecasting 2 Notice of Intent to Issue Solar Forecasting 2 Subprogram: Systems Integration Funding Number: DE-FOA-0001658 Funding Amount: $10,000,000 The SunShot Initiative intends to release a funding opportunity announcement (FOA) to support advancements in solar forecasting to enable higher penetration of solar power in the electric grid. The Solar Forecasting 2 FOA will focus on improving solar forecasting skills, especially during challenging conditions, such as partly cloudy weather

  11. Posting Date: 11/16/2016 Posting Close Date: 11/23/2016

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    16/2016 Posting Close Date: 11/23/2016 North American Industry Classification System (NAICS) code for the request: 236210 Estimated Subcontract/PO Value: TBD Estimated Period of Performance Mar 2017 - Sep 2017 Estimated RFP/RFQ Release Date: Dec 2017 Estimated Award Date: Jan 2017 Competition Type: SB Set-Aside Buyer Contact Email: Havemann@lanl.gov Title: Blast Proof Building Site Work Project Description of Product or Service Required Design-Build of the site design for foundation and utility

  12. Supplier Information Form Date: New Revision

    U.S. Department of Energy (DOE) - all 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)

  13. Research Highlights Sorted by Submission Date

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Submission Date November 2016 Exploiting Mie Scattering in KAZR Radial Velocities to Retrieve Air Motion and DSDs ARM ASR Williams, C. R. Potential of Higher-order Radar Moments and Slopes for Observing Arctic Ice Clouds ARM Maahn, M., Loehnert, U. Deep Convective Vertical Velocity Insights from ARM Profilers in the Amazon ARM ASR Giangrande, S. Impacts of the Manaus Pollution Plume on the Microphysical Properties of Amazonian Warm-Phase C ARM ASR Machado, L. A., Cecchini, M. A. October 2016 A

  14. Date DOE Media Contact: Yvonne Levardi

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Date DOE Media Contact: Yvonne Levardi Office of Communication and Information Management 509-376-8625 ORP_Office_of_Communication@rl.gov WTP Media contact: Todd Nelson (509) 371-2121 tanelson@Bechtel.com DOE Makes Significant Progress at Hanford Waste Treatment Plant in FY 2016 Construction of Low Activity Waste (LAW) Facility Scheduled for Completion in 2018 RICHLAND, Wash. - The U.S. Department of Energy Office of River Protection (ORP) and contractor Bechtel National Inc. (BNI) have

  15. WEATHERIZATION PROGRAM NOTICE 16-XX EFFECTIVE DATE:

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    6-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 not been put forth in

  16. Low energy cyclotron for radiocarbon dating

    SciTech Connect

    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.

  17. Interpolating Low Time-Resolution Forecast Data

    Energy Science and Technology Software Center

    2015-11-03

    Methodology that interpolates low time-resolution data (e.g., hourly) to high time-resolution (e.g., minutely) with variability patterns extracted from historical records. Magnitude of the variability inserted into the low timeresolution data can be adjusted according to the installed capacity represented by the low time-resolution data compared to that by historical records. This approach enables detailed analysis of the impacts from wind and solar on power system intra-hour operations and balancing reserve requirements even with only hourlymore » data. It also allows convenient creation of high resolution wind or solar generation data with various degree of variability to investigate their operational impacts. The methodology comprises of the following steps: 1. Smooth the historical data (set A) with an appropriate window length l to get its trend (set B); l can be a fraction of an hour (e.g., 15 minutes) or longer than an hour, of which the length of the variability patterns will be; 2. Extract the variable component (set C) of historical data by subtracting the smooth trend from it, i.e. set C = set A – set B 3. For each window length l of the variable component data set, find the average value x (will call it base component) of the corresponding window of the historical data set; 4. Define a series of segments (set D) that the values of data will be grouped into, e.g. (0, 0.1), (0.1, 0.2), …, (0.9, 1.0) after normalization; Link each variability pattern to a data segment based on its corresponding base component x; after this step, each data segment should be linked to multiple variability patterns after this step; 5. Use spline function to interpolate the low time-resolution forecast data (set E) to become a high time-resolution smooth curve (set F); 6. Based on the window length l , calculate the average value y in each window length of set F; find the data segment that y belongs to; then randomly select one of the variability patterns linked to this

  18. AVLIS: a technical and economic forecast

    SciTech Connect

    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.

  19. Publication Dates | MIT-Harvard Center for Excitonics

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Publication Dates 9.25.2014 2016 2015 2014 2013 2012 2011 2010 2009

  20. TT Coordinator Ltr dated May 13 2010 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    TT Coordinator Ltr dated May 13 2010 TT Coordinator Ltr dated May 13 2010 TT Coordinator Ltr dated May 13 2010 TT_Coordinator_Ltr_dated_May_13_2010.pdf (13.89 KB) More Documents & Publications Technology Partnership Ombudsman - Roles, Responsibilities, Authorities and Accountabilities Technology Partnership Ombudsman - Roles, Responsibilities, Authorities and Accountabilities OHA 2014 ANNUAL REPORT

  1. Count Directive No. Title OPI Approval Date

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Due for Review Before 9/30/2016 Count Directive No. Title OPI Approval Date 1 DOE G 414.1-2B Quality Assurance Program Guide AU 8/16/2011 2 DOE G 414.1-4 Safety Software Guide for Use with 10 CFR 830, Subpart A, Quality Assurance Requirements, and DOE O 414.1C, Quality Assurance AU 6/17/2005 3 DOE G 421.1-2A Implementation Guide for Use in Developing Documented Safety Analyses to Meet Subpart B of 10 CFR 830 AU 12/19/2011 4 DOE G 424.1-1B Implementation Guide for Use in Addressing Unreviewed

  2. Date Time Event Description/Participants Location

    U.S. Department of Energy (DOE) - all 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

  3. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect

    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.

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

    U.S. Department of Energy (DOE) - all 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

  5. 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% ...

  6. CCPP-ARM Parameterization Testbed Model Forecast Data

    DOE Data Explorer

    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).

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

    SciTech Connect

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 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. If wind

  9. CCPP-ARM Parameterization Testbed Model Forecast Data

    DOE Data Explorer

    Klein, Stephen

    2008-01-15

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

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

    Energy Saver

    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

    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

  11. 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

    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.

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

    Energy Information Administration (EIA) (indexed site)

    ... Gamma and that of Q is inverse Wishart. 5 Our forecasts take into account that the model parameters continue to drift over the forecast horizon according to their law of motion. ...

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

    SciTech Connect

    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.

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

    SciTech Connect

    Porter, K.; Rogers, J.

    2010-04-01

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

  15. 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 ...

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

    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. 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

    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

  18. 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

  19. Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities

    SciTech Connect

    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.

  20. 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 12:01AM to 12:59PM EST ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART I

  1. 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 12:01AM to 12:59PM AST ADVANCED FOSSIL ENERGY PROJECTS SOLICITATION PART II

  2. 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...

  3. 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...

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

    Office of Environmental Management (EM)

    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 ...

  5. 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 ...

  6. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect

    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.

  7. Weather forecast-based optimization of integrated energy systems.

    SciTech Connect

    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. Weather Research and Forecasting Model with the Immersed Boundary Method

    Energy Science and Technology Software Center

    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.

  9. POLICY GUIDANCE MEMORANDUM #04 Setting Effective Date for New Hires |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 4 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 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. POLICY GUIDANCE MEMORANDUM #4 Setting Effective Date for New Hires (74.23 KB) Responsible Contacts Tiffany Wheeler Human

  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)

    U.S. Department of Energy (DOE) - all 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)

    U.S. Department of Energy (DOE) - all 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. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint

    SciTech Connect

    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.

  14. Use of wind power forecasting in operational decisions.

    SciTech Connect

    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

  15. 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

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

    SciTech Connect

    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.

  17. NTSF Spring 2012 Save The Date! | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    NTSF Spring 2012 Save The Date! NTSF Spring 2012 Save The Date! Please mark your calendar for May 15 thru 17 to attend the 2012 U.S. Department of Energy (DOE) National Transportation Stakeholders Forum (NTSF). This year's Forum will be held at the Hilton Knoxville, which is located in the heart of the downtown business district in Knoxville, Tennessee. NTSF Spring 2012 Save The Date! (159.49 KB) More Documents & Publications NTSF Spring 2015 Save the Date NTSF Spring 2016 Save the Date NTSF

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

    SciTech Connect

    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.

  19. Forecasting photovoltaic array power production subject to mismatch losses

    SciTech Connect

    Picault, D.; Raison, B.; Bacha, S.; de la Casa, J.; Aguilera, J.

    2010-07-15

    The development of photovoltaic (PV) energy throughout the world this last decade has brought to light the presence of module mismatch losses in most PV applications. Such power losses, mainly occasioned by partial shading of arrays and differences in PV modules, can be reduced by changing module interconnections of a solar array. This paper presents a novel method to forecast existing PV array production in diverse environmental conditions. In this approach, field measurement data is used to identify module parameters once and for all. The proposed method simulates PV arrays with adaptable module interconnection schemes in order to reduce mismatch losses. The model has been validated by experimental results taken on a 2.2 kW{sub p} plant, with three different interconnection schemes, which show reliable power production forecast precision in both partially shaded and normal operating conditions. Field measurements show interest in using alternative plant configurations in PV systems for decreasing module mismatch losses. (author)

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

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

  1. Forecast of transportation energy demand through the year 2010

    SciTech Connect

    Mintz, M.M.; Vyas, A.D.

    1991-04-01

    Since 1979, the Center for Transportation Research (CTR) at Argonne National Laboratory (ANL) has produced baseline projections of US transportation activity and energy demand. These projections and the methodologies used to compute them are documented in a series of reports and research papers. As the lastest in this series of projections, this report documents the assumptions, methodologies, and results of the most recent projection -- termed ANL-90N -- and compares those results with other forecasts from the current literature, as well as with the selection of earlier Argonne forecasts. This current forecast may be used as a baseline against which to analyze trends and evaluate existing and proposed energy conservation programs and as an illustration of how the Transportation Energy and Emission Modeling System (TEEMS) works. (TEEMS links disaggregate models to produce an aggregate forecast of transportation activity, energy use, and emissions). This report and the projections it contains were developed for the US Department of Energy's Office of Transportation Technologies (OTT). The projections are not completely comprehensive. Time and modeling effort have been focused on the major energy consumers -- automobiles, trucks, commercial aircraft, rail and waterborne freight carriers, and pipelines. Because buses, rail passengers services, and general aviation consume relatively little energy, they are projected in the aggregate, as other'' modes, and used primarily as scaling factors. These projections are also limited to direct energy consumption. Projections of indirect energy consumption, such as energy consumed in vehicle and equipment manufacturing, infrastructure, fuel refining, etc., were judged outside the scope of this effort. The document is organized into two complementary sections -- one discussing passenger transportation modes, and the other discussing freight transportation modes. 99 refs., 10 figs., 43 tabs.

  2. Toward a science of tumor forecasting for clinical oncology

    DOE PAGES [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 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

  3. Toward a science of tumor forecasting for clinical oncology

    SciTech Connect

    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.

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

    SciTech Connect

    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.

  5. Towards a Science of Tumor Forecast for Clinical Oncology

    DOE PAGES [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 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

  6. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect

    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.

  7. Save the Date! Pennsylvania Strategic Energy Management Showcase 2015 |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Save the Date! Pennsylvania Strategic Energy Management Showcase 2015 Save the Date! Pennsylvania Strategic Energy Management Showcase 2015 December 19, 2014 - 12:31pm Addthis Save the Date! Pennsylvania Strategic Energy Management Showcase 2015 Attend the Pennsylvania Strategic Energy Management Showcase on April 7, 2015, at the Penn Stater Conference Center Hotel in State College, Pennsylvania, and learn about the Better Plants Program and Superior Energy Performance®

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2010 | Department of Energy 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 FAQ's for the ENERGY STAR Verification Testing Pilot Program dated December 2010 faq_final_december-2010.pdf (307.2 KB) More Documents & Publications Comment submitted by the Alliance for Water Efficiency (AWE) regarding the Energy Star Verification Testing Program DOE Verification

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

    U.S. Department of Energy (DOE) - all 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 2017 On-line Application Opens October 17, 2016 Applications

  10. 2017 EJ Save the Date | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    More Documents & Publications 2014 NEJC Save the Date (English) EIS-0333: Draft Environmental Impact Statement Conference Information: 2017 National Environmental Justice ...

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

    U.S. Department of Energy (DOE) - all 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, ...

  12. "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;...

  13. 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 ...

  14. Property:Incentive/StartDateString | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

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

    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...

  18. 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 ...

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Key Dates National Science Bowl® (NSB) NSB Home About Regional Competitions National Finals Volunteers Key Dates Frequently Asked Questions News Media Contact Us WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 E: Email Us Key Dates Print Text Size: A A A FeedbackShare Page 2017 National Science Bowl Calendar of Events For regional event dates, be sure to review your school regional location

  20. DOE Guidance-Setting Effective Date for New Hires

    Energy.gov [DOE] (indexed site)

    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 ...