National Library of Energy BETA

Sample records for forecasting specific questions

  1. Critical Question #2: What are the Best Practices for Ventilation Specific

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

    to Multifamily Buildings? | Department of Energy 2: What are the Best Practices for Ventilation Specific to Multifamily Buildings? Critical Question #2: What are the Best Practices for Ventilation Specific to Multifamily Buildings? What is the best practice to address ASHRAE 62.2 Addendum J (multifamily)? Why is exhaust only (with supply in hallway) the current standard practice? Are there options to avoid air exchange with neighbors? How do stack and wind pressures affect ventilation

  2. ARM - Science Questions

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

    Science Questions Related Links CLASIC Home AAF Home ARM Data Discovery Browse Data Post-Campaign CLASIC/CHAPS Special Session at AGU Annual Meeting, December 15-19 CLASIC Workshop, March 26-27 Data Sets Deployment Resources Measurement Platforms PNNL WRF-CuP Forecast Cloud Physics Lidar MODIS Airborne Simulator Data Mesonet Monitoring ARM Data Plots Experiment Planning CLASIC Proposal Abstract Science Questions Science and Implementation Plan (pdf) Measurement Platforms (pdf) CLASIC-Land

  3. UPF Forecast | Y-12 National Security Complex

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

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

  4. Solar Forecasting

    Broader source: Energy.gov [DOE]

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

  5. Past Question

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

    HallPast QuestionsAsk a Scientist Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Unfortunately, we couldn't find that question

  6. Appropriations Questions

    Broader source: Energy.gov [DOE]

    Grantees should review the terms of their award agreement to determine when funds must be expended. If there are questions regarding deadlines within the award agreement, Grantees should consult...

  7. Past Question

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

    HallAsk s ScientistPast Questions Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Unfortunately, we couldn't find that category

  8. Priority Questions

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

    related to DOE Furnace NOPR LCC model and TSD Priority Questions A) It appears that the assignment of base case efficiency for each individual home is chosen based on a random assignment in the Base Case AFUE sheet D12. This ignores the likelihood that there is an economic motive for consumers in selecting condensing vs. non-condensing furnaces. That is, consumers who have good payback economics for condensing furnaces are actually less likely to be affected by a rule than those with poor

  9. Forecast Change

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

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

  10. specifications

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

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

  11. Technical analysis in short-term uranium price forecasting

    SciTech Connect (OSTI)

    Schramm, D.S.

    1990-03-01

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

  12. Questions about how plants die leads to climate change answers

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

    Questions about how plants die leads to climate change answers Questions about how plants die leads to climate change answers Understanding mechanisms of mortality will provide important input to future climate forecasts. March 12, 2012 Tree in the desert The scientists' goal is to provide basic insights into questions such as how plants die, especially during drought. While the question of plant mortality is easy to conceptualize, it is difficult to study because of the spatial and temporal

  13. probabilistic energy production forecasts

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

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

  14. Wind Power Forecasting Data

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

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  15. Forecasting Water Quality & Biodiversity

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

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

  16. Wind Power Forecasting

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

    data Presentations BPA Super Forecast Methodology Related Links Near Real-time Wind Animation Meteorological Data Customer Supplied Generation Imbalance Dynamic Transfer Limits...

  17. NREL: Transmission Grid Integration - Forecasting

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

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

  18. Last Call for Questions

    Broader source: Energy.gov [DOE]

    Just a quick reminder that the deadline for submitting your home energy efficiency questions directly to Secretary Chu is midnight tonight (10/07). The Secretary will personally respond to some of the questions next week.

  19. 2016 Solar Forecasting Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  20. Today's Forecast: Improved Wind Predictions

    Broader source: Energy.gov [DOE]

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

  1. Solar Forecast Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  2. Waste Specification Records - Hanford Site

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

    Specification Records About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual Waste Forecast...

  3. 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

  4. Inquiring Minds - Questions About Physics

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

    Radiation Direction Hello, What is the direction of radiation emitted from an atom ? Thanks, Bob Patton Bob, Your question has always been an area of research whenever new processes are found and is a very valid one. The answer depends on the specific process in question. For one thing, a coordinate system must be chosen. If the atom is moving, then you, might use the momentum vector of the atom as the direction of reference. Usually with atoms though, the problem is solved in the rest frame. If

  5. ARM - Science Questions

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

    Science Questions Related Links MC3E Home News News & Press MC3E Backgrounder (PDF, 1.61MB) SGP Images ARM flickr site Field Blog ARM Data Discovery Browse Data Deployment Operations Measurements Science Plan (PDF, 3.85 MB) Featured Data Plots SGP Data Plots (all) Experiment Planning Steering Committee Science Questions MC3E Proposal Abstract and Related Campaigns Meetings Cloud Life Cycle Working Group Contacts Michael Jensen, Lead Scientist Science Questions This experiment seeks to use a

  6. ARM - Science Questions

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

    Science Questions Related Links SPARTICUS Home AAF Home Deployment Operations Measurements SGP Data Plots NASA Data Plots ARM Data Discovery Browse Data Experiment Planning SPARTICUS Proposal Abstract Science Questions Science and Operations (PDF, 1.01M) SPARTICUS Wiki News News & Press Backgrounder (PDF, 269K) Contacts Gerald Mace, Lead Scientist Science Questions Scatter plot of ice crystal number concentration from two different probes used during TWP-ICE. The differences are significant

  7. Unreviewed Safety Question Requirements

    Office of Environmental Management (EM)

    DOE G 424.1-1, Implementation Guide for Use in Addressing Unreviewed Safety Question Requirements Performance Objective 1: Contractor Program Documentation 1. The USQ ...

  8. Reliability Question Comment

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

    Reliability-Question-Comment Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives...

  9. Frequently Asked Questions

    Office of Energy Efficiency and Renewable Energy (EERE)

    Frequently asked questions (FAQs) and their corresponding answers regarding industrial distributed energy (DE) and combined heat and power (CHP) are provided below.

  10. Problem of Questioning

    ScienceCinema (OSTI)

    None

    2011-04-25

    Le Prof.Leprince-Ringuet, chercheur sur le plan scientifique, artistique et humain, parle de la remise en question des hommes et la remise en question scientifique fondamentale ou exemplaire- plusieurs personnes prennent la parole p.ex Jeanmairet, Adam, Gregory. Le Prof.Gregory clot la soirée en remerciant le Prof.Leprince-Ringuet

  11. ARM - AMF Science Questions

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

    Science Questions Science Plan (PDF, 4.4M) Rob Wood Website Outreach Backgrounders English Version (PDF, 363K) Portuguese Version (PDF, 327K) AMF Posters, 2009 English Version...

  12. ARM - Science Questions

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

    Science Questions Related Links ISDAC Home AAF Home AVP Aircraft Instrumentation, October 14-16, 2008 ARM Data Discovery Browse Data Post-Campaign Data Sets Flight Summary Table (PDF, 440K) ISDAC Wiki Mission Summary Journal Deployment Resources NSA Site ARM Data Plots Quick Links Experiment Planning ISDAC Proposal Abstract Full Proposal (pdf, 1,735K) Science Questions Science Overview Document for ISDAC (pdf, 525K) ISDAC Flight Planning Document (PDF, 216K) Collaborations Logistics Measurements

  13. Frequently Asked Questions

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

    Frequently Asked Questions Frequently Asked Questions 1. Does the State of Idaho have a Freedom of Information Act? Yes, it is called the "Public Records - Right to Examine", Idaho State Code 9-338. Please contact the appropriate state agency directly for the records you want. 2. Can I get a fee waiver for my requested document? DOE may determine to waive or reduce fees in cases where furnishing the information primarily benefits the general public by significantly assisting citizens

  14. Inquiring Minds - Questions About Physics

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

    Ana Kata Dimension You Wrote: One day I was sitting in my living room, reading a book on physics, an idea occurred to me. (This idea probably may be unscientific and unreasonable, but read the rest of this letter anyway.) This is, specifically, a question about dimensional physics (that's probably not the real term for this branch of physics). From now-on, I will refer to the ana/kata dimension (the fourth spatial) dimension as the fourth dimension rather than the fifth dimension, even though

  15. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

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

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  17. Questions and Responses

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

    Responses: Question 1: Would the Government consider accepting either CMMI-DEV or CMMI-SVC Level 3 or higher since there is majority of process areas are shared between the two constellations and repeatability of processes will not be reduced since both will require Level 3 or higher? Government Response: The Government has determined that CMMI-SVC is a relatively new methodology and is in agreement that there is a considerable overlap of process areas shared between the two constellations. The

  18. Question and Answer to Procedural Questions on Application for Rehearing :

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

    Order No. 202-05-02 | Department of Energy Question and Answer to Procedural Questions on Application for Rehearing : Order No. 202-05-02 Question and Answer to Procedural Questions on Application for Rehearing : Order No. 202-05-02 Docket No. EO-05-01, Order No. 202-05-02: Question and Answer to Procedural Questions on Application for Rehearing Question and Answer to Procedural Questions on Application for Rehearing : Order No. 202-05-02 (12.25 KB) More Documents & Publications Comments

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

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

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

  20. Using Wikipedia to forecast diseases

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

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

  1. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

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

  2. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect (OSTI)

    Lew, D.

    2011-04-01

    This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

  3. The forecast calls for flu

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

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

  4. Inquiring Minds - Questions About Physics

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

    your question. Sincerely, Judy Jackson, Fermilab Office of Public Affairs Hugh Montgomery, Fermilab D0 Experiment Back to Questions About Physics Main Page last modified 1...

  5. Frequently Asked Questions

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

    Questions Where do we meet the first day? We will meet at the Los Alamos Research Park (4200 Casa Grande Dr., Los Alamos, NM 87544) Suite 300 at 8:00 on the first day. What is the dress code? Students dress casually at LANL, particularly during the summer. Shorts and T-shirts are fine, but business attire is suggested when giving presentations. When working in the labs, expect to wear closed-toe shoes (no flip-flops). It is not O.K. to go bare foot while on site at the summer school. What will

  6. H. UNREVIEWED SAFETY QUESTIONS

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

    3 Department of Energy Pt. 835 H. UNREVIEWED SAFETY QUESTIONS 1. The USQ process is an important tool to evaluate whether changes affect the safety basis. A contractor must use the USQ proc- ess to ensure that the safety basis for a DOE nuclear facility is not undermined by changes in the facility, the work performed, the associated hazards, or other factors that support the adequacy of the safety basis. 2. The USQ process permits a contractor to make physical and procedural changes to a nuclear

  7. Town Hall Questions Answered

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

    8, 2014 CBFO Manager's weekly update to local residents Read Carlsbad Field Office Manager Joe Franco's letter to Eddy and Lea County residents for the week of April 14: at http://1.usa.gov/1mkxm7b Town Hall Questions Answered Q. What is the condition of Panel 7 right now? A. Work teams entering the underground facility as part of ongoing Phase 3 activities are still working to determine the full condition of Panel 7. Initial entries indicate good roof conditions. Q. What's the presumed reason

  8. Question 3: Industry outlook

    SciTech Connect (OSTI)

    Carrigg, J.A.; Crespo, J.R.; Croom, J.H.; Davis, E.B. Jr.; Green, R.C. Jr.; Hale, R.W.; Howard, J.J.; McCormick, W.T. Jr.; Page, T.A.; Ryan, W.F.; Schrader, T.F.; Schuchart, J.A.; Smith, J.F.; Stys, R.D.

    1990-10-25

    This article is a collection of responses from natural gas distribution company representatives to questions on what they believe is the most important problem facing local distribution companies today and how are they positioning their companies to respond to the problem. Topics include remaining competitive in a changing market and business environment, proper pricing of services, procurement and marketing of natural gas, avoiding gas shortages from deliverability problems, coordination with state regulators on relevant issues such as cost recovery and rate structures, diversification of natural gas sources, regulation, service to customers, bypassing of local utilities, unbundling of rates and services at the pipeline level, and nonutility electric generators.

  9. Doing Business Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    The following are frequently asked questions about working with in partnership with DOE laboratories.

  10. 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 ...

  11. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

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

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

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

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

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

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

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

  14. Intermediate future forecasting system

    SciTech Connect (OSTI)

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

    1983-12-01

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

  15. Answering Key Fuel Cycle Questions

    SciTech Connect (OSTI)

    Steven J. Piet; Brent W. Dixon; J. Stephen Herring; David E. Shropshire; Mary Lou Dunzik-Gougar

    2003-10-01

    The Advanced Fuel Cycle Initiative (AFCI) program has both “outcome” and “process” goals because it must address both waste already accumulating as well as completing the fuel cycle in connection with advanced nuclear power plant concepts. The outcome objectives are waste geological repository capacity and cost, energy security and sustainability, proliferation resistance, fuel cycle economics, and safety. The process objectives are readiness to proceed and adaptability and robustness in the face of uncertainties. A classic decision-making approach to such a multi-attribute problem would be to weight individual quantified criteria and calculate an overall figure of merit. This is inappropriate for several reasons. First, the goals are not independent. Second, the importance of different goals varies among stakeholders. Third, the importance of different goals is likely to vary with time, especially the “energy future.” Fourth, some key considerations are not easily or meaningfully quantifiable at present. Instead, at this point, we have developed 16 questions the AFCI program should answer and suggest an approach of determining for each whether relevant options improve meeting each of the program goals. We find that it is not always clear which option is best for a specific question and specific goal; this helps identify key issues for future work. In general, we suggest attempting to create as many win-win decisions (options that are attractive or neutral to most goals) as possible. Thus, to help clarify why the program is exploring the options it is, and to set the stage for future narrowing of options, we have developed 16 questions, as follows: · What are the AFCI program goals? · Which potential waste disposition approaches do we plan for? · What are the major separations, transmutation, and fuel options? · How do we address proliferation resistance? · Which potential energy futures do we plan for? · What potential external triggers do we

  16. Science on Tap - Forecasting illness

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

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

  17. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect (OSTI)

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.

  18. Global disease monitoring and forecasting with Wikipedia

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

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: accessmore » logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.« less

  19. Frequently Asked Questions

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

    Advice from LADSS Alumni Nick Martinez, 2014 1. Choose your project wisely. Thoroughly review each project scope and referenced material when making your decision. 2. Once you are assigned a project, familiarize yourself with the required theory and background literature before the start of the summer school. 3. Immediately familiarize yourself with the experimental hardware setup. This will expedite your project's progress, especially if you are unfamiliar with the specific hardware/software.

  20. Acquisition Forecast Download | Department of Energy

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

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

  1. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  2. SCE Responses to Customer Data Questions

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

    SCE Responses to Customer Data Questions 1. Who owns energy consumption data? SCE Response: Customer-specific data gathered or developed by a utility in the course of providing utility services is owned by the utility. Such data is subject to confidentiality and privacy requirements. In California, customers have the right to access their customer- specific information and can authorize third-party access to their information. 2. Who should be entitled to privacy protections relating to energy

  3. Frequently Asked Questions | The Ames Laboratory

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

    Frequently Asked Questions Question - Where can I find who has signature authority for a specific project? Answer - The appropriate signature authority for purchase order requisitions and service work can be determined by using the Ames Laboratory Chart of Accounts. The current Chart of Accounts information can be found on the Moderate file server at Team\COA. * The current fiscal year files (COA.xls and COAintro.doc) are in the directory named COA * Prior fiscal year COA files are located in a

  4. 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 ...

  5. Microsoft Word - General-questions

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

    questions for operating facilities and on-going programs (1) What major scientific accomplishments and discoveries have occurred in your research area or at your facility since the...

  6. Inquiring Minds - Questions About Physics

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

    Centripedal Forces Plus Relativity You wrote: Hello, I'm not sure if this address is the right one to write to asking a physics question. But I saw a list of questions and answers at the page with this address. Therefore, I would be very grateful if you could forward this question to someone who answers it. Question: I have some problems understanding centripetal and centrifugal force. As I see it, these are a result of a type of acceleration. I'm quite sure, in space these forces also

  7. Inquiring Minds - Questions About Physics

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

    How many neutrons? Dear Mrs. Pordes, Hello. My name is Andrew Schmidt. I am writing to you concerning a question I have. I am in your daughters science class and it would be greatly appreciated if you could help me. My question is: What happens when you vary he number of neutrons in an element? Any assistence you could give me to help answer this question would be great. Thanks. andrew s. Dear Mr. Schmidt, The simple answer to your question is to say that you make "isotopes" of the

  8. Picture of the Week: Forecasting Flu

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

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

  9. From Question Answering to Visual Exploration

    SciTech Connect (OSTI)

    McColgin, Dave W.; Gregory, Michelle L.; Hetzler, Elizabeth G.; Turner, Alan E.

    2006-08-11

    Research in Question Answering has focused on the quality of information retrieval or extraction using the metrics of precision and recall to judge success; these metrics drive toward finding the specific best answer(s) and are best supportive of a lookup type of search. These do not address the opportunity that users? natural language questions present for exploratory interactions. In this paper, we present an integrated Question Answering environment that combines a visual analytics tool for unstructured text and a state-of-the-art query expansion tool designed to compliment the cognitive processes associated with an information analysts work flow. Analysts are seldom looking for factoid answers to simple questions; their information needs are much more complex in that they may be interested in patterns of answers over time, conflicting information, and even related non-answer data may be critical to learning about a problem or reaching prudent conclusions. In our visual analytics tool, questions result in a comprehensive answer space that allows users to explore the variety within the answers and spot related information in the rest of the data. The exploratory nature of the dialog between the user and this system requires tailored evaluation methods that better address the evolving user goals and counter cognitive biases inherent to exploratory search tasks.

  10. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect (OSTI)

    Not Available

    1981-05-27

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

  11. The Value of Wind Power Forecasting

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

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

  12. EIA lowers forecast for summer gasoline prices

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

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

  13. Wind Forecasting Improvement Project | Department of Energy

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

    Forecasting Improvement Project Wind Forecasting Improvement Project October 3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. In July, the Department of Energy launched a $6 million project with the National Oceanic and Atmospheric Administration (NOAA) and private partners to improve wind forecasting. Wind power forecasting allows system operators to anticipate the electrical output of wind plants and adjust the electrical

  14. Inquiring Minds - Questions About Physics

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

    Rotation of Black Holes Hello Alyssa -- The questions you sent to Fermilab about physics didn't get lost, they just got routed to a couple of lazy postdocs. That's why it took so long to get back to you. Anyway, we thought that these were such good questions that _two_ of us decided to take a crack at answering them! Below are your questions and answers from me and from my colleague Andrew Sornborger. You'll notice that sometimes we say almost exactly the same thing, and sometimes we give

  15. Inquiring Minds - Questions About Physics

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

    Electro-magnet Dear Sir, I have been set a physics assignment and I need to find out why the current effects the strength of an electro-magnet. If you know the answer I would really appreciate it if you could send it to me. That would be awesome. Thanks Luke Luke - Hello. I am a scientist here at Fermilab and your question got forwarded to me. In some sense it is a question with an easy answer, but like most science, you can keep probing the answer until you reach a question that can't be

  16. Inquiring Minds - Questions About Physics

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

    Light from a fast car I hope you have the time to answer this question. It's been an on-going dispute between my friends and [me]. Theorhetical Question: If a vehicle was traveling at the speed of light and a light source was emitted from the vehicle would there be a visible beam of light? Please help me. Thanks. "Opinions expressed are mine and not those of Rohm and Haas Company" The most likely reason for the dispute is that the question is not especially well-posed. By

  17. Inquiring Minds - Questions About Physics

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

    Question on Red Shift Dear Fermilab: I have a question, but first, thank you for the terrific new web site. You did a fantastic job. Question: Where does present theory say the energy of a red shifted photon goes? The idea that universal expansion is responsible for the red shift of intergalactic light would seem correct if light were a continuous wave. However, since a photon is a quantum of energy, and since the entire photon is presumably captured, the photon should still have the same amount

  18. Draft RFP - Questions and Answers

    National Nuclear Security Administration (NNSA)

    DE-SOL-0005982 175. Question: Attachment 1, Performance Work Statement: For UGTA drilling activities, there is no mention of whether the contractor of or the M&O...

  19. Inquiring Minds - Questions About Physics

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

    Radiation from particle annihilation How much energy is created when the particle-antiparticle annihilate? Does it release a large amount of radiation? If so, about how many rads? Heather Dear Heather, I am Don Cossairt, a physicist, and I am also the Associate Head for Radiation Protection in Fermilab's Environment, Safety, and Health Section. The Fermilab Public Affairs Office forwarded to me your question about particle-antiparticle annihilation that I am happy to try to answer your question

  20. Inquiring Minds - Questions About Physics

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

    Software Programming in Particle Detectors Question: Is it possible to use software programing in particle detectors to develop a program that can interpert data of passive radar? Answer: Thanks for sending your question. The answer greatly depends on the type of data the radar is creating and the signal you are looking for. The particle physics software is used to identify tracks of particles, that is, the imaginary lines that particles leave behind inside a set of detectors. Similar to bullets

  1. MOU Frequently Asked Questions | The Ames Laboratory

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

    MOU Frequently Asked Questions Coming Soon Return to FAQ's

  2. Unreviewed Safety Question (USQ) Process Rev

    Office of Environmental Management (EM)

    Unreviewed Safety Question (USQ) Process Rev . 0 USQ Determination Worksheet "'-'-, Los Alamos * ... .. t .:. , :; - .. .. . 1 UNREVIEWED SAFETY QUESTION DETERMINATION ...

  3. Waste Specification Records - Hanford Site

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

    Specification Records About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford Customer Annual Waste Forecast and Funding Arrangements Waste Stream Approval Waste Shipment Approval Waste Receipt Quality Assurance Program Waste Specification Records Tools Points of Contact Waste Specification Records Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size Waste Specification Records (WSRds) are the tool

  4. Supply Forecast and Analysis (SFA)

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

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

  5. Inquiring Minds - Questions About Physics

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

    Antihydrogen Sir, My name is Josh Epstein. I am a high School Student at Paola High School in Kansas. I was viewing your page on Antihydrogen and I had a few questions. If you are not qualified to answer these questions, please refer this E-Mail to one wyho can. What is the next logical step in the development of antihydrogen as a power source. Would the same relative makeup of a compound have to be duplicated in the "antii-sense" to make it susceptible to m/am annihalation? I.E. To

  6. Inquiring Minds - Questions About Physics

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

    Question on Antimatter I am an undergraduate student at the University of Minnesota at Duluth. I am doing a research paper on the need to increase alternative/new energy R&D funding. I would appreciate it if you could answer a couple of questions for me. Steven, My name is Glenn Blanford. In addition to working with Fermilab's Public Affairs Office, I am a researcher on the Antihydrogen Production experiment, E862, a small group (8) who have started to observe antihydrogen atoms (at

  7. Inquiring Minds - Questions About Physics

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

    You Wrote: Hi my question is what is the number of atoms in the world and why don't scientist agree on one number for them. Thank you. Hi, the answer to your question by its very nature can not be terribly accurate. However, when I pull down my copy of a college physics book, I find that it lists the mass of the earth as (6 x 10^24 kg). The mass of a proton or neutron is (1.67 x 10^-27 kg). Consequently, you can say to mediocre accuracy that the number of protons or neutrons in the earth is

  8. Inquiring Minds - Questions About Physics

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

    Question: From smaller than atoms to larger than galaxies structures spin and in doing so the centrifugal force throws things outward. Might not the Universe as a whole be spinning on an axis and what we currently ascribe to a mysterious repulsive force be a centrifugal force throwing things outward? Thrown out rather than pushed or drawn? Dan Answer: Hi Dan, You ask an interesting question and I know the straight forward answer which is: If the universe was rotating, it would be rotating about

  9. Inquiring Minds - Questions About Physics

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

    Centripetal or Centrifugal Force? You Wrote: A recent debate ended in a total draw. It was concverning centrifugal force, or its lack there of. Both sides of the argument stand for and against this common rule of physics. Centripital force was the only force affecting rotating objects, one litigator announced. My question for you is, is there such a thing as centrifugal force, or has it proven to be non-existent? Thank You very much A mediating Scientist Hi, thanks for your question, you are

  10. Inquiring Minds - Questions About Physics

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

    Color of Atoms Mr. Pordes- I have a question for science. As you probably know, we have been studying all about particles and the particle model of matter and John Dalton and everything like that. My question is though, are all atoms the same color? And if so, or even if not, how do you know?! Since they are so small, how can you see what color they are. Or do you not know? Thank you so much for your time! If you could write back with an answer, I would appreciate it! Thanks! Sincerely, Kelly

  11. Inquiring Minds - Questions About Physics

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

    Movement of the Electron Around the Nucleus Question: It is very enlightening to read your research and very delightfull to explore our world. Why does the electron have to move around the Nucleus? Why does it not loose energy moving around it? If you say that they move in fixed energy orbits why the electron still have to rotate? Lastly what decides the energy orbits? Thanks so much. -Arvind Answer: Dear Arvind, You raise some really good questions: Why does the electron have to move around the

  12. Inquiring Minds - Questions About Physics

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

    Which Atoms Can Give Electrons to Other Atoms? Dear Miss Alonso, This is a very good question, and the answer is rather complex. The first question is "how do scientists know which atoms can give electrons to other atoms?" We know from experiments on substances and from basic scientific calculations on the structure of an atom. If you have a sample of sodium and a sample of chlorine, you can measure how easily these substances combine. In this case, the combine very easily and release

  13. Inquiring Minds - Questions About Physics

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

    Question about Radioactive Decay Dear Webmaster, What is the actual 'event' that causes an unstable isotope (Ex: C(14)) to decay? I know that a neutron splits into an electron and a proton during radioactive decay, but what causes this to happen? Is it a roll of the dice, or some nuclear force gone astray? Thanks for your help! Dave Morris Dear Dave, The answer to both your questions is YES ! Sort of. The decay is random, but the probability of it taking place depends on the nuclear force (but

  14. Inquiring Minds - Questions About Physics

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

    Is gravity a particle or a wave? You Wrote: Is gravity a particle or a wave? Is the concept of gravity the same as the subatomic Graviton? Can it be a particle or a wave? Or both? Thanks, T.K. Dear T.K., Your questions struck right at the center of one of the hottest and most challenging research topics in physics. So far, physicists don't know the full answers to all your questions. Although gravity is well understood at the macroscopic (every-day-life) scale, scientists are far from

  15. Inquiring Minds - Questions About Physics

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

    Stretched By a Black Hole? You Wrote: Thank you for a very satisfactory answer to a question I asked at the end of January. I have another question. Is there a way to figure out the rate of change of acceleration, a, as one moves away from a body? At the surface of Earth a is approximately equal to 9.8 m/s2, what would a be at .5 au or any other distance to any other bodies of different masses? I am a retired person, non university type, with a keen interest in science, particularly in the

  16. Inquiring Minds - Questions About Physics

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

    boson Elisabeth, You asked: Could you help me with the following question. Is there any evidense for the existence of the Higgs bosson or Higgs field? According to the New Scientist magazine Cerns LEP should have had enough energy to create the Higgs particles but it was not detected. Thankyou very much Elisabeth Hi Elisabeth, You asked a good question. Yes, over the last ten years the evidence for the Higgs boson (or something like it) has been mounting. The many kinds of measurements we make

  17. Inquiring Minds - Questions About Physics

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

    Motion in the Universe Question: I am interested in the concept of absolute 'still' vs. all the speed references we have. I have been attempting to calculate the speed at which an individual is traveling through the universe when standing 'still'. i.e., the rotation speed of the earth, the speed of the orbit of the earth around the sun, the solar system withing our galaxy, the galaxy...etc. The odd question that struck me was that given all the relativity applications and explainations, is there

  18. Inquiring Minds - Questions About Physics

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

    Negative pressure in the universe Dear Mr. Miller, I am in the theoretical astrophysics group at Fermilab. You recently sent a question to Glenn Blanford about negative pressure in the universe. Here is an attempt at an answer: I recently read the article in Fermi News entitled Depatment of (Missing) Energy ( see FermiNews98-05-15.pdf). In the article a property called "negative presure" was discused. My question is: Is this negative pressure the result of a particle that would be the

  19. Inquiring Minds - Questions About Physics

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

    Using an accelerator to create a new element Hello, My name is Andrew and I was wondering if this is the right email forum for my question. I am only 11 so my question is as follows: I am thinking of creating a new element and I need a particle accelerator to do it, so I was wondering if I could use yours. I also have some others ideas. Please contact me A.S.A.P. Thank you for reading this e-mail. Sincerely, Andrew Dear Andrew, Thank you for your email. I'm glad to hear from a young person who

  20. Inquiring Minds - Questions About Physics

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

    Potential Barriers Hi. Is it possible to experimentally prove my following question AND my following analogous question? Does a particle really go through a wall or through a potential barrier, or is it possible that a) a particle hits the wall, and the energy is transferred (just like those balls on the double strings that tranfer energy to the last ball) until the other side of the wall emits it's own electron? Perhaps the tranfer of energy has identical velocity as the particle, or b) that

  1. Inquiring Minds - Questions About Physics

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

    Resonances Dear J. Oldendick, Your questions were forwarded to me. I hope you find these answers helpful. You were right that the answers to the questions about resonances and atomic levels are related, and that the uncertainty principle is involved. Let me get back to them. First you ask, "Why is the cross section for compound nucleus formation not zero between resonances?" In case you are asking this because you've seen a plot of nuclear cross sections, let me point out that the

  2. Inquiring Minds - Questions About Physics

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

    Hello, I am so happy to visited your site It was full of answers to my questions!! So, I have a question about thermal Energy...We have some kind of energy in the world. electric energy, electromagnetic energy, gravity energy and thermal energy and we know that other energies are combination of these energies. So, we can suppose these energies depended on a fields.for example electric energy is created by electric field and we can divergence from this field becouse it is vector field but for

  3. Inquiring Minds - Questions About Physics

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

    Vacuum You wrote: I'm Stephen and I moderate a theoretical physics forum at physicsforums.com. Is it possible to increase the probability that virtual particles will appear in a vacuum? I was posed this question from a member and i do not have a definite answer in my reference materials. I would greatly appreciate any response as to how/why if the question has a yes answer. Thank you for your time. Regards, Stephen J Hall, Theoretical Physics moderator PS. if you are ever browsing the net and

  4. ARM - CARES - Tracer Forecast for CARES

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

    CampaignsCarbonaceous Aerosols and Radiative Effects Study (CARES)Tracer Forecast for CARES Related Links CARES Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Field Updates CARES Wiki Campaign Images Experiment Planning Proposal Abstract and Related Campaigns Science Plan Operations Plan Measurements Forecasts News News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Tracer Forecasts for CARES This webpage

  5. LED Lighting Forecast | Department of Energy

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

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

  6. NREL: Resource Assessment and Forecasting Home Page

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

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

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

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

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

  8. Forecast and Funding Arrangements - Hanford Site

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

    Annual Waste Forecast and Funding Arrangements About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford...

  9. NREL: Resource Assessment and Forecasting - Webmaster

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

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

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

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

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

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

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

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

  12. Inquiring Minds - Questions About Physics

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

    Empty Universe You wrote: Madam/sir, Is it true that a completely empty universe, without any object, without any particle, a mere void, would be twodimensional? Jod Dear Jod, According to Einstein's general relativity, a completely empty universe could have any number of spatial dimensions. String theory would say that an empty universe should have 10 spatial dimensions. I hope this is helpful. Fermilab Physicist Back to Questions About Physics Main Page last modified 11/15

  13. Inquiring Minds - Questions About Physics

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

    The Impact of the Accelerator on the Environment Question: Some cubic thermodynamical equations of state predict negative pressures, have negative pressures any physical meaning? Could they be related to negative mass? Silvia, Mexico Answer: Dear Silvia, The short answer is that a system with negative pressure must be unstable, and thus, there are no thermodynamic states of a system with negative pressure. The reason for this is simple: The second law of thermodynamics tells us that all

  14. Inquiring Minds - Questions About Physics

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

    You wrote: What are the products from an encounter between a neutrino and an anti-neutrino? Dear Mr. Moore: The question of a neutrino and anti-neutrino encounter is interesting. First of all, the strength of the neutrino interaction is very weak, even neutrino interactions with protons or neutrons are very rare but we do measure them in experiments at Fermilab. The probability of a neutrino - antineutrino interaction is so small that it has never been directly observed. Such interactions to

  15. Inquiring Minds - Questions About Physics

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

    Question: Do you think it is possible that the velocity of an object in space determines the force of the vacuum it travels through? - Donald E. Sterling Answer: Dear Mr. Sterling, The faster a particle travels through vacuum, the more likely it is that the particle will interact with virtual particles contained in the vacuum. (At a quantum level, a vacuum is far from being empty.) Based on this quantum phenomena, scientists have predicted a maximum energy with which particles can travel long

  16. Inquiring Minds - Questions About Physics

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

    What are the virtual particles? You Wrote: What are the virtual particles? What does it mean - "virtual"? Sincerely, Anthony Petrov. Hi, you ask another very good question. "Virtual particles" are real -- they exist in that they can be detected and can interact. But they are fleeting -- they are soon gone with no trace of their existence. This phenomenon is related to the Heisenberg uncertainty principle of quantum physics. Uncertainty in time multiplied by uncertainty in

  17. Multifamily Weatherization Frequently Asked Questions

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

    Multifamily Weatherization Frequently Asked Questions 1. How do Grantees define a multifamily building? It depends. There is not one all-encompassing definition for multifamily buildings and how they are addressed within WAP. There are nuances related to multifamily eligibility, multifamily auditing, and multifamily reporting that each carry their own definitions.  Eligibility: In order to be eligible for WAP funding, one of the following must be true: o At least 50% of the residential units

  18. 10 CFR 707 Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    NOTE: The Questions on this site were compiled from questions asked during the four DOE complex wide tele-videos, as well as, questions submitted by e-mail and telephone. The answers provided are...

  19. Comments/Questions? | The Ames Laboratory

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

    Comments/Questions? Name (optional): Email Address (optional): Comment/Question: * CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Submit

  20. Appendix C: Examples of review questions

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This set of review questions was pulled from a number of EERE evaluations by the PEER Review Task Force and organized to show how questions for assessing a program differ from questions for assessing projects that make up that program.

  1. Frequently Asked Questions (FAQs) | The Ames Laboratory

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

    Frequently Asked Questions (FAQs) Welcome to the Frequently Asked Questions page. We hope that your questions are easily answered in this section. If not, please contact us. Non-Disclosure Agreements Partnering Mechanisms: CRADA/SPP/TSA MOU - Coming Soon MTA - Coming Soon Invention Disclosure and Patents Scientific and Technical Information Publications Office of Research Opportunities - Coming Soon Detailed Questions If you have a detailed question(s) that our FAQs do not answer, please contact

  2. NPDES Questions & Answers | Open Energy Information

    Open Energy Info (EERE)

    Questions & Answers: SWRCB State NPDES Permit Information, current through August 14, 2014. Published NA Year Signed or Took Effect 2014 Legal Citation NPDES Questions &...

  3. Policy Questions on Energy Storage Technologies | Department...

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

    Policy Questions on Energy Storage Technologies Policy Questions on Energy Storage Technologies Memorandum from the Electricity Advisory Committee to Secretary Chu and Assistant ...

  4. LED Frequently Asked Questions | Department of Energy

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

    Frequently Asked Questions LED Frequently Asked Questions EERE Solid-State Lighting LED Factsheet PDF icon ledbasics.pdf More Documents & Publications LED Frequently Asked ...

  5. Digital Data Management Frequently Asked Questions | Department...

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

    Frequently Asked Questions Digital Data Management Frequently Asked Questions Submitting a Data Management Plan 1. I am submitting an applicationproposal for research funding in ...

  6. Inquiring Minds - Questions About Physics

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

    Impact of the Accelerator on the Environment Question: How many studies have been done to figure out what escapes from the accelerators into the environment and how much of it escapes? I heard from a tour guide that there was no environmental impact, but I don't believe it. How can something dealing with so much energy and traveling so fast not have some of that energy escape into the environment? Have you done research on things like insect life, water life and plant growth in the areas near

  7. Inquiring Minds - Questions About Physics

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

    Power of the Tevatron Question: How powerful is Fermilab's accelerator in volts, amperes and watts? Aaron Nelson Answer: Dear Aaron, Fermilab's most powerful accelerator, the Tevatron, accelerates protons to an energy of 1,000 gigaelectronvolts(1,000 GeV), or 1,000 billion electronvolts. This energy corresponds to each proton traversing a voltage of 1,000 billion volts. In practical terms, the protons achieve this energy by traveling in a circle and passing an electric field 47,000 times per

  8. Inquiring Minds - Questions About Physics

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

    Big Bang & Bosons Glenn, I guess what I want to ask you is a stupid question. But since I am a lay person with a lot of curiousity let me be bold enough to ask it. I understand the the standard particle theory says that large masses indicated by boson masses can only be created by lots power in accelerators. That is why the supercollider would have been great. But how does this relate if the Big Bang theory is correct? What does the current trend in elementary particle physics have to do to

  9. Inquiring Minds - Questions About Physics

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

    Blackholes Dear Juan, You asked: according to scientists,inside a black hole's event horizon nothing is able to come out, even light. also it is believed that gravity is produced by gravitrons, just like the strong force is produced by gluons,right?ok here is my question.If the gravitrons act like the gluons,how do they come out of the event horizon to atrract bodies floating outside the black hole's event horizon. or do they atract bodies just by circling at the edge of the event horizon Juan

  10. Inquiring Minds - Questions About Physics

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

    Hello, At least some contemporary big bang theories begin with the entire universe packed into a very small, atom sized volume. Since black hole densities can be achieved by compressing the earth to the size of a marble; it seems that the early universe would have been dense enough to be a black hole and would have never expanded. Are the theories of the big bang and black holes at odds? Thanks, Doug McAllister Tulsa Hello Doug, That is a very good question. The big bang theory and the existence

  11. Inquiring Minds - Questions About Physics

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

    Bosons and Antiparticles You asked: hi, i am an undergraduate student. I have a question on anti-particle. Is there negative energy state for the boson in the relativistic quantum mechanic? Then how the anti-particle of bosons can be understood with the comparision to the existance of the positron by the Dirac's negative sea (since boson do not obey the exclusion principle)? Thank You for your help There is no negative energy state for the bosons. The bosons do not have anti-particles! In fact

  12. Inquiring Minds - Questions About Physics

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

    Cosmic rays You asked: Hi, I had just a couple of questions 1) What are cosmic rays made of? If it is not known, what do the early reports say on the compostition of cosmic rays? 2)Will this add/ refine/ or refute the Standard Model? Thanks Goonjan Shah Goonjan: The composition of cosmic rays appears to change with energy. At energies of about 10**18 eV and higher the composition begins to become lighter. That is, the composition changes from heavier nuclei (up to iron) to light nuclei, mostly

  13. Inquiring Minds - Questions About Physics

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

    How does an electron on a 2p orbital cross the node of nucleus? To Fermilab, I have a question that needs answering for my chemistry class. In an atom, how does an electron on a 2p (bell shaped) orbital cross the node of the nucleus (a region of zero probability)? Does it have something to do with the wave properties of an electron? I cannot find the answer on the internet or in my chemistry book. Thank you very much. Danny Hi Danny, It does have something to do with the wave properties of the

  14. Inquiring Minds - Questions About Physics

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

    Early Universe Question Greetings Well, you most likely receive a billion messages a day from nuts like me, but here's another one for you. Before the big bang, when there was just random endergy fluctuations in this empty void. At this point, before the particle that blew up, is it possible that there could have been one dimension raining supreme, a dimension which, when seperated, become the four distinct dimensions we now live in? What I'm trying to say is, when the universe was formed,

  15. Inquiring Minds - Questions About Physics

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

    Electric Fields You asked: I have a question about electric fields. I have seen in many texbooks that show that for a negative charge, the electric field goes into itself or inwards, and it shows arrows that go into the core of the negative charge. And for the positive charge, the field goes outwards and has arrows that go outwards. But this doesn't explain how the two charges attract. Who is doing the attracting. You could say, that the positive charge is moving towards the negative charge

  16. Inquiring Minds - Questions About Physics

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

    You Wrote: What is in the area between sub atomic particles? Does this area when accelerated give off more light or does it get darker? If you were to accelerate a flashlight would the electron flow through the filament slow down? Can we determine how fast something is traveling by the amount of light it releases? How does acceleration produce light? Thank You Tom Dear Tom, Wow, that's an interesting set of questions on the topic of "light emitted by particles." I tried to reorder your

  17. Inquiring Minds - Questions About Physics

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

    Particle vs. Wave, etc. You Wrote: Thank you for writing back. Please try to answer as many questions as you can. Thanks:) Are quarks particles are waves? What about photons, I have heard from a friend experiments conducted proved it both a particle and a wave? Do quarks have spin? How can you tell? What in an atom is waves? Do protons spin in the same direction as electrons? When you say color do you really mean as you can see a color on a quark or is it just a simplified method of combining?

  18. Inquiring Minds - Questions About Physics

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

    What is in the future for physics? You wrote: We are constantly preoccupied with the next steps in our sciences. I would be interested to know, in your opinion, what the next fifteen steps are likely to be in physics in the 21st Century. With thanks for your time Stephanie G. Dear Stephanie: Your question regarding the far distant goals/discoveries of physics is obviously very difficult to answer. In particular, physics is such a vast field that it is already difficult for me to do justice to

  19. Inquiring Minds - Questions About Physics

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

    Graviton Question I am a sophomore in high school writing a reaserch paper for my honors chemistry class. While gathering information from the local libraries one book mentioned a theoretical boson called a graviton that would be responsible for the force of gravity. Could such a particle exist or is there any evidence that it might exist? If so, are there any efforts under way to try to discover it? I haven't been able to find very much information about this subject, or maybe im just looking

  20. Inquiring Minds - Questions About Physics

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

    High Frequency Beams Hi, I'm a physics student and I love the work you are doing at Fermilab. I've been watching closely your progress and I believe some of the best mind are working there. My question is about high frequency beams. I'd like to know what are the highest frequencies (in Hz) you have been using at Fermilab and in what kind of research. What is the theoretical limit for frequencies and how far are we from it? I'd really apreciate your answer. Thank you very much. Best regards,

  1. Inquiring Minds - Questions About Physics

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

    Photons and the Higgs field You asked: If all particles except photons and gluons acquire "mass" by theoretically interacting with the Higgs field and mass is felt by the gravitation field. Then why do photons curve around large bodies and can not leave a black hole? Don Dear Don: It is true that photons and gluons are massless, and that to the best of our theoretical knowledge, the other particles acquire mass by interacting with the Higgs field. But to answer your question, we need

  2. Inquiring Minds - Questions About Physics

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

    Home made particle detector Question: Would it be possible for me to build a small particle detector at home? I would like to observe some of the cosmic ray particles that hit earth. Tom Dear Tom: Yes, absolutely. All you need is a container with vapor, and charged particles zipping through will leave a trail similar to the trails left by air planes in the sky. This type of detector is called a cloud chamber. Instead of writing down all the details, I refer you to a Scientific American website.

  3. Inquiring Minds - Questions About Physics

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

    How do you make protons and antiprotons? You Wrote: In my physical science class we watched a video about how they make quarks. Our teacher told us that for extra credit we could write to you and fund the answer to these two questions: 1. How do they make the protons and antiprotons that are used in quarks? 2. How do they make the electron scanning needle? If you could e-mail me back as soon as possible with the answers I would greatly appreciate it. This extra credit could help my grade a lot.

  4. Inquiring Minds - Questions About Physics

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

    You Wrote: I'm doing a paper on quarks and I'm investigating the discovery of top quark. I have a question on the matter. When you talk about of "jets" of particles, what are you meaning? Lots of particles? Probably is an idiomatic problem because english it is not my mother tongue. Thank you. Alejandro Nieto González ETSIT- Universidad Politécnica de Madrid. Spain. Hi Alejandro, When two particles for example a proton and an antiproton collide at high energies many particles are

  5. Inquiring Minds - Questions About Physics

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

    Proof of Kepler's law? You Wrote: I have this homework question, my physics teacher said that you can prove Kepler's second law with one quantity of measurement. He hinted us with Mass and that is all he gave....Can you help me on what measurement it is that I need to prove Kepler's second law. thanx a million mark Mark, Greetings, Kepler's second law is that a planet travelling in an elliptical orbit around the sun sweeps out equal areas in equal times. This is basically a statement of

  6. Inquiring Minds - Questions About Physics

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

    You Wrote: Hi...my name is Amy. I'm a high school student in Indonesia. I want to know whether lightning could be an electricity power source, such as water electricity, nuclear electricity, etc. Please reply to my Email because I am doing a paper about lightning electricity. Thank You. Amy, Thank you for your question on lightning electricity. The answer below is from one of Fermilab's utility experts and may be more information than you need for your report. The challenge with electricity in

  7. Inquiring Minds - Questions About Physics

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

    You asked: Why is the top quark so massive? Dear High School Senior: Well, that actually is a question that all physicists would like to be able to answer. The top quark is as heavy as a gold atom--yet it is an elementary particle that, to our present knowledge, cannot be split into subunits. (Be aware that until about 100 years ago, scientists didn't think they could split atoms into smaller subunits.) How does the top quark gets its mass? Like all other particles, the top quark receives its

  8. Inquiring Minds - Questions About Physics

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

    The particle model of matter You Wrote: I am a junior high student that has ben assigned to ask the people at Fermi Lab these questions. I would be grateful if you or someone else could send me some reply info. Thank you. 1. do you think the particle model of matter is true? Why? 2. If all matter is made up of particles, then what are particles made up of? Hi Madeline, My name is Andrew Green and I am one of the experimenters at Fermilab. I am actually a graduate student here. I am pleased to

  9. Inquiring Minds - Questions About Physics

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

    Why can radio waves pass through a wall but light cannot? Hello, My name is Mike P. and this is my question. If radio & light waves are both properties of the electromagnetic spectrum then why can radio waves pass through walls but light cannot? Thank You Hello Mike P., PART 1. Let me first make sure the terminology we use is right. The words "electromagnetic spectrum" are used to name a group of waves. Not any kind of waves, ( not acoustic, not mechanical waves) but

  10. Inquiring Minds - Questions About Physics

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

    Particles from Batavia to Soudan Tom, You asked: I have been reading various pages on the Fermi website and I'm unclear how the particles to be tested get from Batavia to Soudan. Is there a physical connection like a pipeline or is this something that just happens through the earth? Sorry for what's probably a very basic question but I couldn't quite understand that point. Are there articles that explain how this happens? Thanks! Tom Hi Tom, I am a physicist working on the NuMI/MINOS project

  11. Inquiring Minds - Questions About Physics

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

    Particle Mass Measurement I don't know weather you can help me but one thing that i have been interested in for the past several years is how the mass of a particle so small can be measured and i was hopeing you might be able to help me. thank you, jeff kirkwood Dear Jeff, A very interesting question. Obviously, we can't just put a subatomic particle on a balance and weigh it. Actually R.A.Millikan did an experiment early in the century where the electric charge to mass ratio of an electron was

  12. Inquiring Minds - Questions About Physics

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

    Getting particles for the accelerator Hi I am 11 and my name is Joshua Pevitz. When I grow up I want to work at Fermilab. I was wondering if you could explain to me about how you let only one atom in the accelerator, if everything is made out of atoms? Your admirer, Joshua Pevitz Dear Joshua, Thanks for your interesting question! Let me give you the simple answer first, and then I will explain. We do not let only one atom at a time into the accelerator. Instead we have more than 10 trillion

  13. Inquiring Minds - Questions About Physics

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

    Particles and Their Properties Question: I was hoping that you could help me learn how to figure out the number of protons, the number of neutrons, and the number of electrons of a particular atom. For example, oxygen is 8 O 16, I'm not sure how to figure this out. Thanks in advance for your assistance. - D Answer: Dear D: The key properties of an atom (like oxygen) are described by the Atomic Number (which is 8 for Oxygen) and the total number of nucleons (which is 16 for Oxygen). The atomic

  14. Inquiring Minds - Questions About Physics

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

    Question: I just wish someone could explain it to me (talking vveerryyy ssllloooowwwlllyyly) so that I can have at least a clue why atoms appear to be little perpetual motion machines that are somehow unaffected by gravity, friction etc. and just keep on going and going (like that bunny). Don't other moving things in this world quickly come to a stop when force is no longer externally applied. Doesn't there HAVE to be an external force or some sort that's being applied (more or less evenly) to

  15. Inquiring Minds - Questions About Physics

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

    How do you define momentum for a photon with no mass? What is symmetry? You asked: Photons are said to have no mass but how is that. The momentum equation is m=velocity*mass so therefore the photon would have no momentum and therefore could not repel the two negatively charged electrons. Was my information right? -What exactly is symmetry laws and gauge symmetry? Dear David: Thank you for your questions. No. The equation momentum=velocity*mass only applies for massive particles. For massless

  16. Inquiring Minds - Questions About Physics

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

    Speculations on getting an Instant Cold Drink You wrote: I remember a few years ago reading about a new idea of making it possible for that when you open a can of pop that it will instantly turn cold. For some reason I remember them as saying that it will be out in a few years. I was wondering if you knew how they could do this and as to if it is true and if so, when it will come out - tim Tim, How to create an instant cold drink an interesting question. There are probably engineers in the

  17. Inquiring Minds - Questions About Physics

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

    Pure Antineutron Beams Hello, I am a physics student in Germany. I haven't had particle physics yet, so I'd be glad if you answered me one question: How do you create more or less pure anti-neutron beams in your accelerator?? I'm sure it's possible somehow but I just don't know the way to relize that. The "options" I got to know by now: collision of anti-protons with carbon nuclei can result in anti-neutrons decay of lambda-particles (how would you create them?) I guess the main

  18. Inquiring Minds - Questions About Physics

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

    You asked: What happens if you take 2 quantum entangled particles, and untangle them and put one of these particles in a blackhole? The other should demonstrate what is going on inside a blackhole; according to Einstien's "spooky action at a distance", right? Wouldn't this violate the principle that no light, or information, escapes a blackhole? Dear Stew, This is an interesting question; it sounds like a variation of the original Einstein-Podolsky-Rosen "paradox". I'm far

  19. Inquiring Minds - Questions About Physics

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

    Isolating quarks Ben, You asked: my name is ben thompson and i am student teaching at downers grove north high school. we are doing a unit in electromagnetism and somehow came upon the concept of the quark. i did some web research only to find out a tiny bit about quarks and leptons. the question that one of my students stumped me with was whether or not the scientists at fermi lab have isolated any quarks yet. i do not know, and we have decided to allow you (the knowledgeable) to help us out.

  20. Inquiring Minds - Questions About Physics

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

    Length of Particle Accelerators I have six questions. 1. How long is a particle accelerator? 2. Is it true that there are weapons 40 times stronger than the fatman and little boy atomic bombs used in World War II? 3. What does E=mc2 mean? 4. Does electricity in general move at the speed of light? How was fusion discovered? 5. Is it true that the sun is a ball of hydrogen that is in a fusion chain reaction? 6. How can you become a scientific worker at Fermilab? Dear Mr. Bond, I am glad you are

  1. Inquiring Minds - Questions About Physics

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

    Question About Splitting Molecules "Can you use particle accelerators to break up molecules into their elements?" The short answer is yes. The long answer is more complicated. You can think of molecules as wads of warm taffy with marbles in it (where the marbles are the atoms, and the warm taffy is what keeps them together). If you look at a marble (atom), you find that it has BB's inside, but they're held together with cold taffy (meaning they are held more firmly). If you continue to

  2. Inquiring Minds - Questions About Physics

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

    How strong is the strong force? You Wrote: How strong is the strong force? I bet you think you asked a simple question. The simple answer is that the strength depends on the range over which it is acting. At short distances the strong force is weak and at long distances it is strong. That is completely different from the other three forces and arises because the forces transmitters, called gluons, are massless and carry strong force charge. I hope that you are still interested in the more

  3. Inquiring Minds - Questions About Physics

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

    Density of the Universe Dear Quincy, Thanks for your great questions on the future of the Universe. They made me think a bit. It turns out that I am an experimental physicist at Fermilab who is presently involved with an experiment to detect the dark matter, which you also asked about. You asked: It is known that if the universe's average density is less than a critical value, it will expand forever. If the density is higher than it, the expansion will stop at sometime and the universe will

  4. Inquiring Minds - Questions About Physics

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

    Virtual Photon Question Brian, X-URL: http://www.fnal.gov/pub/hep_descript.html Dear Fermilab (or to whom this may be going to), Hi. I am 14 years old and I happen to be reading a physics book when I came across something called Virtual Photons and the uncertianty principle. The book does not explain what Virtual Photons are to well, and all I know about Photons is that they could be a wave or matter. If you could help me about what Virtual Photons are and Photons, that would be a great help.

  5. Inquiring Minds - Questions About Physics

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

    Charged Objects and Virtual Photons Hello, I am fascinated by the universe of physics, and I have a few questions. Actually, I was wondering about photons. I have come to understand that photons are the force carrying particles for the electromagnetic force. I also understand that they have no mass and can therefore travel at the speed of light. What I was wondering was this: When two electrons come near, why are real photons said to be emitted, but virtual photons are said to be the actual

  6. Inquiring Minds - Questions About Physics

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

    Can an audio wave be combined with a radio wave? You Wrote: What is the wave called when you combine an audio wave with a radio wave? Bruce Dear Bruce, It is not quite clear to me what definitions you may use for your "audio wave" and "radio wave." So let me state how I interpret your question. Audio wave: I assume you refer to a sound wave, a wave that is being transmitted through the air at the speed of sound. This wave is being transmitted through gas/liquid/matter by the

  7. Inquiring Minds - Questions About Physics

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

    Color of the Sky You asked: I was wondering what color the sky is? I know that it looks blue but what is it actually? Dear Nathalie, This is really an excellent question with a difficult answer. I had a long discussion with one of my colleagues about this topic. I'm still not sure how best to explain the science, but let me give it a try. First of all, think about all the things that can happen when light encounters an object. The light could be absorbed by the object. It might be reflected

  8. Appendix 12: Frequently Asked Questions

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

    12: Frequently Asked Questions Q1: If a Recipient's grant is closed out, do they have to continue to report? A1: Yes. As long as the funds remain in a Financing Program, they retain their federal character, and the Recipient must continue to report. Q2: A Recipient determines that there is no longer demand for their residential RLF for energy efficiency upgrades. The Recipient would like to repurpose the funds for an energy audit and lighting upgrade of City Hall. What are the responsibilities

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

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

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

  10. Answering Key Fuel Cycle Questions

    SciTech Connect (OSTI)

    Piet, S.J.; Dixon, B.W.; Bennett, R.G.; Smith, J.D.; Hill, R.N.

    2004-10-03

    Given the range of fuel cycle goals and criteria, and the wide range of fuel cycle options, how can the set of options eventually be narrowed in a transparent and justifiable fashion? It is impractical to develop all options. We suggest an approach that starts by considering a range of goals for the Advanced Fuel Cycle Initiative (AFCI) and then posits seven questions, such as whether Cs and Sr isotopes should be separated from spent fuel and, if so, what should be done with them. For each question, we consider which of the goals may be relevant to eventually providing answers. The AFCI program has both ''outcome'' and ''process'' goals because it must address both waste already accumulating as well as completing the fuel cycle in connection with advanced nuclear power plant concepts. The outcome objectives are waste geologic repository capacity and cost, energy security and sustainability, proliferation resistance, fuel cycle economics, and safety. The process objectives are rea diness to proceed and adaptability and robustness in the face of uncertainties.

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

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

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

  12. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in ...

  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. Frequently Asked Questions (FAQs) | The Ames Laboratory

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

    Frequently Asked Questions (FAQs) Concur Travel FAQs Rental Car FAQs TSA FAQs

  15. Inquiring Minds - Questions About Physics

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

    You Wrote: Hi, My name is Ian. I am a 12 year old student. I am in the 7th grade. My question is: If a one pound block of ice (-2 degrees C) is placed in an insulated closed room that was 2 feet by 2 feet by 4 feet, set at 5 degrees C, 1.) How long would it take to melt the ice ? 2.) How many Btu's would it take to melt the ice ? 3.) Would the room temperature drop or stay at 5 deg. C ? 4.) If electricity was used to cool the room to 5 deg. C and cost 11 cents per kWh, how much would it cost to

  16. Frequently Asked Questions | Department of Energy

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

    Frequently Asked Questions Frequently Asked Questions This section is meant to cover the most common questions regarding the EERE Postdoctoral Research Awards. The Frequently Asked Questions (FAQs) are divided into several broad categories: general information, applications, eligibility, selection process, stipend and benefits, taxes, conditions and requirements, and travel. If you have questions about information not covered in this FAQ, please email: DOE-RPP@orau.org. General Information What

  17. LED Frequently Asked Questions | Department of Energy

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

    Frequently Asked Questions LED Frequently Asked Questions This document provides answers to LED frequently asked questions for plant-wide improvements, such as "Are LEDs ready for general lighting?" LED Frequently Asked Questions (May 2011) (344.41 KB) More Documents & Publications LED Frequently Asked Questions Lighting Designer Roundtable on Solid-State Lighting SSL R&D Multi-Year Program Plan

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

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01

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

  19. Towards a Science of Tumor Forecast for Clinical Oncology

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

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

    2015-01-01

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

  20. Toward a science of tumor forecasting for clinical oncology

    SciTech Connect (OSTI)

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

    2015-03-15

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

  1. Toward a science of tumor forecasting for clinical oncology

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

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

    2015-03-15

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

  2. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    SciTech Connect (OSTI)

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

    2012-08-01

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

  4. Coal Fired Power Generation Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Coal Fired Power Generation Market Forecast Home There are currently no posts in this category. Syndicate...

  5. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

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

    2013-10-01

    This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

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

    SciTech Connect (OSTI)

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

    2011-10-01

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

  8. Flood Forecasting in River System Using ANFIS

    SciTech Connect (OSTI)

    Ullah, Nazrin; Choudhury, P.

    2010-10-26

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

  9. energy data + forecasting | OpenEI Community

    Open Energy Info (EERE)

    energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in...

  10. Text-Alternative Version LED Lighting Forecast

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  11. AVLIS: a technical and economic forecast

    SciTech Connect (OSTI)

    Davis, J.I.; Spaeth, M.L.

    1986-01-01

    The AVLIS process has intrinsically large isotopic selectivity and hence high separative capacity per module. The critical components essential to achieving the high production rates represent a small fraction (approx.10%) of the total capital cost of a production facility, and the reference production designs are based on frequent replacement of these components. The specifications for replacement frequencies in a plant are conservative with respect to our expectations; it is reasonable to expect that, as the plant is operated, the specifications will be exceeded and production costs will continue to fall. Major improvements in separator production rates and laser system efficiencies (approx.power) are expected to occur as a natural evolution in component improvements. With respect to the reference design, such improvements have only marginal economic value, but given the exigencies of moving from engineering demonstration to production operations, we continue to pursue these improvements in order to offset any unforeseen cost increases. Thus, our technical and economic forecasts for the AVLIS process remain very positive. The near-term challenge is to obtain stable funding and a commitment to bring the process to full production conditions within the next five years. If the funding and commitment are not maintained, the team will disperse and the know-how will be lost before it can be translated into production operations. The motivation to preserve the option for low-cost AVLIS SWU production is integrally tied to the motivation to maintain a competitive nuclear option. The US industry can certainly survive without AVLIS, but our tradition as technology leader in the industry will certainly be lost.

  12. Comments/Questions | Critical Materials Institute

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

    Comments/Questions To offer comments on the CMI website or to ask questions, please contact us: CMIdirector@ameslab.gov 515-296-4500 or use this web form for comments. Thanks!

  13. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

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

  14. DuraMat Consortium- Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    The answers to these frequently asked questions will help applicants for the DuraMat Consortium call for proposals.

  15. Inquiring Minds - Questions About Physics

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

    You Wrote: Magnets To All the Hardworking Scientists, Hi, I was wondering exactly how magnets are used at Fermilab? I understand that they are used in "detectors" and "particle accelerators", but I would like more specific information. Student of Physics, Ami Dear Ami: Yes, we use magnets both in our accelerators and in our detectors. Dipole magnets (one north pole, one south pole) are used to bend the path of an electrically charged particle. They are essential in building

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

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

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

  17. Questions and Answers | Department of Energy

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

    Questions and Answers Questions and Answers Questions and Answers (156.86 KB) More Documents & Publications DOE HR Guidebook 12_15_05.DOC� Operating Guidelines Appendix C D.DOC� Revised OMB Circular A-76 (Revised November 14, 2002)

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

    SciTech Connect (OSTI)

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

    2014-05-01

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

  19. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

    Templeton, K.J.; Clary, J.L.

    1994-09-01

    This report describes a 30-year forecast of the solid waste volumes by container type. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste. These volumes and their associated container types will be generated or received at the US Department of Energy Hanford Site for storage, treatment, and disposal at Westinghouse Hanford Company`s Solid Waste Operations Complex (SWOC) during a 30-year period from FY 1994 through FY 2023. The forecast data for the 30-year period indicates that approximately 307,150 m{sup 3} of LLMW and TRU/TRUM waste will be managed by the SWOC. The main container type for this waste is 55-gallon drums, which will be used to ship 36% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of 55-gallon drums is Past Practice Remediation. This waste will be generated by the Environmental Restoration Program during remediation of Hanford`s past practice sites. Although Past Practice Remediation is the primary generator of 55-gallon drums, most waste generators are planning to ship some percentage of their waste in 55-gallon drums. Long-length equipment containers (LECs) are forecasted to contain 32% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of LECs is the Long-Length Equipment waste generator, which is responsible for retrieving contaminated long-length equipment from the tank farms. Boxes are forecasted to contain 21% of the waste. These containers are primarily forecasted for use by the Environmental Restoration Operations--D&D of Surplus Facilities waste generator. This waste generator is responsible for the solid waste generated during decontamination and decommissioning (D&D) of the facilities currently on the Surplus Facilities Program Plan. The remaining LLMW and TRU/TRUM waste volume is planned to be shipped in casks and other miscellaneous containers.

  20. Frequently Asked Questions | National Nuclear Security Administration |

    National Nuclear Security Administration (NNSA)

    (NNSA) Frequently Asked Questions U.S. Department of Energy / U.S. Nuclear Regulatory Commission Nuclear Materials Management & Safeguards System Frequently Asked Questions (FAQs) User Frequently Asked Questions What is the History of NMMSS? What Are the Other Uses of NMMSS? NMMSS is sponsored by the National Nuclear Security Administration's (NNSA) Office of Materials Integration within the U.S. Department of Energy and the U.S. Nuclear Regulatory Commission Learn More Users Frequently

  1. Response to Weatherization Questions | Department of Energy

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

    Response to Weatherization Questions Response to Weatherization Questions August 30, 2010 - 4:53pm Addthis Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs Last week as part of Vice President Biden's announcement of 200,000 homes weatherized under the Recovery act, we asked you to send us your questions and comments about the weatherization process. Today, we're following up with answers experts from the Department's Weatherization and Intergovernmental Program: 1) From

  2. CRAD, Facility Safety - Unreviewed Safety Question Requirements |

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

    Department of Energy Facility Safety - Unreviewed Safety Question Requirements CRAD, Facility Safety - Unreviewed Safety Question Requirements A section of Appendix C to DOE G 226.1-2 "Federal Line Management Oversight of Department of Energy Nuclear Facilities." Consists of Criteria Review and Approach Documents (CRADs) that can be used for assessment of a contractor's Unreviewed Safety Question (USQ) process.. CRADs provide a recommended approach and the types of information to

  3. Program Evaluation Topics and Questions Library

    Broader source: Energy.gov [DOE]

    Menu of initial questions for a program administrator to use in developing a real-time evaluation survey to collect qualitative data from program contractors.

  4. Fermilab | Fermilab Time and Labor | Questions & Answers

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

    HTML-only Interface Questions & Answers Updated 4152014 Q: What's the story on the FTL alternative (HTML) interface? A: The HTML interface to FTLKronos has been around ever...

  5. Frequently Asked Questions | Environmental Management Science...

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

    Frequently Asked Questions About the Oak Ridge Environmental Management Science Education and Internship Program 1. What kind of program is the OREM Science Education and...

  6. Cool LinksFavorite Science Questions

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

    Explore » Favorite Science Questions Favorite Science Questions The Bradbury Science Museum's Favorite Questions and Answers How can we fix the ozone layer? You asked a very interesting question about ozone and how can we fix the ozone layer. It is true that lightning creates ozone. Any spark in air will do it. Ozone can also be created by certain forms of radiation. Ozone is a molecule of oxygen that consists of three atoms instead of the usual two. It has peculiar chemical properties, it is

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

    SciTech Connect (OSTI)

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

    2015-11-10

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

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

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

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

    2015-11-10

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

  9. Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Li, Xueping; Zhou, Shengchao

    2015-01-01

    The worldwide concern over environmental degradation, increasing pressure on electric utility companies to meet peak energy demand, and the requirement to avoid purchasing power from the real-time energy market are motivating the utility companies to explore new approaches for forecasting energy demand. Until now, most approaches for forecasting energy demand rely on monthly electrical consumption data. The emergence of smart meters data is changing the data space for electric utility companies, and creating opportunities for utility companies to collect and analyze energy consumption data at a much finer temporal resolution of at least 15-minutes interval. While the data granularity provided by smart meters is important, there are still other challenges in forecasting energy demand; these challenges include lack of information about appliances usage and occupants behavior. Consequently, in this paper, we develop an optimization based data mining approach for forecasting real-time energy demand using smart meters data. The objective of our approach is to develop a robust estimation of energy demand without access to these other building and behavior data. Specifically, the forecasting problem is formulated as a quadratic programming problem and solved using the so-called support vector machine (SVM) technique in an online setting. The parameters of the SVM technique are optimized using simulated annealing approach. The proposed approach is applied to hourly smart meters data for several residential customers over several days.

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

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

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

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

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

    the rate period (i.e., FY 2002-2006), a forecast of that end-of-year Accumulated Net Revenue (ANR) will be completed. If the ANR at the end of the forecast year falls below the...

  12. 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 ...

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

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

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

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

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

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

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

    Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

    2010-04-01

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

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

    SciTech Connect (OSTI)

    Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

    2010-04-15

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

  18. Issues in midterm analysis and forecasting, 1996

    SciTech Connect (OSTI)

    1996-08-01

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

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

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

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

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

    SciTech Connect (OSTI)

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

    2015-10-30

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

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

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

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

  2. Microsoft Word - Amendment 000002 - Question & Answers.docx

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

    Question: "Security officers are unarmed Contractor employees who conduct security duties at DOE facilities." "In cases involving work place violence, provide defensive protection for those involved, as needed, and in accordance with the NTC training program and NETL policy. This may include weaponless self-defense and use of intermediate force weapons." Would the Government please advise if there is any specific level of weaponless self-defense training or certification

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

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01

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

  4. Solar Instructor Training Network Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    These frequently asked questions (FAQs) relate to the solar instructor training network. This project was launched by the U.S. Department of Energy (DOE) Solar Energy Technologies Program (SETP or...

  5. UESC Frequently Asked Questions Panel Discussion

    Broader source: Energy.gov [DOE]

    Presentation—given at the April 2012 Federal Utility Partnership Working Group (FUPWG) meeting—covers frequently asked questions (FAQs) about utility energy service contracts (UESCs), including term lengths, bonding, and a UESC within a utility's service territory.

  6. Frequently Asked Questions | National Nuclear Security Administration...

    National Nuclear Security Administration (NNSA)

    Frequently Asked Questions General What is a demonstration project? What employees are affected by the pay-banding and pay-for-performance demonstration project? When was pay-banding ...

  7. Program Evaluation: Define Questions and Methods

    Broader source: Energy.gov [DOE]

    Steps five through eight will help you define the questions your evaluation should address, and develop the methods you'll use to conduct your evaluation (learn more about the other steps in...

  8. Cybersecurity Capability Maturity Model - Frequently Asked Questions

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

    (February 2014) | Department of Energy - Frequently Asked Questions (February 2014) Cybersecurity Capability Maturity Model - Frequently Asked Questions (February 2014) The Cybersecurity Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model focuses on the implementation and management of cybersecurity practices associated with the information technology (IT) and operational technology

  9. Summary of Questions, Answers and Comments

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

    Meeting: Data/Communication Standards and Interoperability of Building Appliances, Equipment, and Systems Summary of Questions, Answers and Comments in the Discussion Periods Following Presentations Presentation: Introductions and purpose (Joe Hagerman) Question (Q): What is the difference between the April 30 public meeting and this non-public meeting? What is the end goal / end game / timeline? Answer (A): DOE is hosting a series of meetings to ensure we've done our due diligence before we

  10. Special Feature: Five Questions for Sudip Dosanjh

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

    Five Questions for Sudip Dosanjh Special Feature: Five Questions for Sudip Dosanjh September 27, 2013 Sudip-wide.jpg Sudip Dosanjh Sudip Dosanjh is Director of the National Energy Research Scientific Computing (NERSC) Center at Lawrence Berkeley National Laboratory. NERSC's mission is to accelerate scientific discovery at the U.S. Department of Energy's Office of Science through high performance computing and extreme data analysis. NERSC deploys leading-edge computational and data resources for

  11. Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy

    SciTech Connect (OSTI)

    Yock, Adam D.; Kudchadker, Rajat J.; Rao, Arvind; Dong, Lei; Beadle, Beth M.; Garden, Adam S.; Court, Laurence E.

    2014-08-15

    Purpose: To create models that forecast longitudinal trends in changing tumor morphology and to evaluate and compare their predictive potential throughout the course of radiation therapy. Methods: Two morphology feature vectors were used to describe 35 gross tumor volumes (GTVs) throughout the course of intensity-modulated radiation therapy for oropharyngeal tumors. The feature vectors comprised the coordinates of the GTV centroids and a description of GTV shape using either interlandmark distances or a spherical harmonic decomposition of these distances. The change in the morphology feature vector observed at 33 time points throughout the course of treatment was described using static, linear, and mean models. Models were adjusted at 0, 1, 2, 3, or 5 different time points (adjustment points) to improve prediction accuracy. The potential of these models to forecast GTV morphology was evaluated using leave-one-out cross-validation, and the accuracy of the models was compared using Wilcoxon signed-rank tests. Results: Adding a single adjustment point to the static model without any adjustment points decreased the median error in forecasting the position of GTV surface landmarks by the largest amount (1.2 mm). Additional adjustment points further decreased the forecast error by about 0.4 mm each. Selection of the linear model decreased the forecast error for both the distance-based and spherical harmonic morphology descriptors (0.2 mm), while the mean model decreased the forecast error for the distance-based descriptor only (0.2 mm). The magnitude and statistical significance of these improvements decreased with each additional adjustment point, and the effect from model selection was not as large as that from adding the initial points. Conclusions: The authors present models that anticipate longitudinal changes in tumor morphology using various models and model adjustment schemes. The accuracy of these models depended on their form, and the utility of these models

  12. Forecasting hotspots using predictive visual analytics approach

    SciTech Connect (OSTI)

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

    2014-12-30

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

  13. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

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

    2011-02-23

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

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

    SciTech Connect (OSTI)

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

    2015-08-05

    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output. forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.

  15. Ian Hinchliffe Answers Your Higgs Boson Questions

    ScienceCinema (OSTI)

    Hinchliffe, Ian

    2013-05-29

    contingent with the ATLAS experiment at CERN, answers many of your questions about the Higgs boson. Ian invited viewers to send in questions about the Higgs via email, Twitter, Facebook, or YouTube in an "Ask a Scientist" video posted July 3: http://youtu.be/xhuA3wCg06s CERN's July 4 announcement that the ATLAS and CMS experiments at the Large Hadron Collider have discovered a particle "consistent with the Higgs boson" has raised questions about what scientists have found and what still remains to be found -- and what it all means. If you have suggestions for future "Ask a Scientist" videos, post them below or send ideas to askascientist@lbl.gov

  16. Ian Hinchliffe Answers Your Higgs Boson Questions

    SciTech Connect (OSTI)

    Hinchliffe, Ian

    2012-01-01

    contingent with the ATLAS experiment at CERN, answers many of your questions about the Higgs boson. Ian invited viewers to send in questions about the Higgs via email, Twitter, Facebook, or YouTube in an "Ask a Scientist" video posted July 3: http://youtu.be/xhuA3wCg06s CERN's July 4 announcement that the ATLAS and CMS experiments at the Large Hadron Collider have discovered a particle "consistent with the Higgs boson" has raised questions about what scientists have found and what still remains to be found -- and what it all means. If you have suggestions for future "Ask a Scientist" videos, post them below or send ideas to askascientist@lbl.gov

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

    SciTech Connect (OSTI)

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

    1983-01-01

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

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  19. 10 Questions for a Physicist: Antonio Checco

    Office of Energy Efficiency and Renewable Energy (EERE)

    Today, the Energy Blog is launching a new series, 10 Questions, with a simple goal in mind – to introduce you to our scientists and their incredible work. Dr. Checco explains wetting on the nanoscale, shares some advice for students and tells us about his favorite movie scientist.

  20. Treatment of Anthrax Disease Frequently Asked Questions

    SciTech Connect (OSTI)

    Judd, Kathleen S.; Young, Joan E.; Lesperance, Ann M.; Malone, John D.

    2010-05-14

    This document provides a summary of Frequently Asked Questions (FAQs) on the treatment of anthrax disease caused by a wide-area release of Bacillus anthracis spores as an act bioterrorism. These FAQs are intended to provide the public health and medical community, as well as others, with guidance and communications to support the response and long-term recovery from an anthrax event.

  1. 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

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

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

    Bonneville Power Administration Power Business Line Generation (PBL) Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

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

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

    2003 Bonneville Power Administration Power Business Line Generation Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

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

    Energy Savers [EERE]

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

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

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data ...

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

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

    transition from shallow to deep convection using a dual mass flux boundary layer scheme Roel Neggers European Centre for Medium-range Weather Forecasts Introduction " " % % &...

  7. 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. ...

  8. 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, ...

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

    SciTech Connect (OSTI)

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

    2015-12-08

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

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

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

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

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

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

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

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

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

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

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

  15. Selected papers on fuel forecasting and analysis

    SciTech Connect (OSTI)

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

    1983-05-01

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

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

    SciTech Connect (OSTI)

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

    1995-05-01

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

  17. NETL CO2 Storage Frequently Asked Questions

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

    CO2 Storage Frequently Asked Questions faq-header-big.jpg A combined portfolio of carbon management options for fossil fuel use can be implemented to manage current emission levels of greenhouse gases (GHGs) while enhancing energy security and building the technologies and knowledge base for export to other countries faced with reducing emissions. The U.S. portfolio includes Use of fuels with reduced carbon intensity: renewables, nuclear, and natural gas. Adoption of more efficient technologies

  18. Frequently Asked Questions | National Nuclear Security Administration |

    National Nuclear Security Administration (NNSA)

    (NNSA) Frequently Asked Questions Clearance Processing: How long does it take to get a clearance? Timeframes may vary depending on the level of clearance, type of background investigation, and complexity of the case. What would cause my clearance to be delayed? Reasons for a delay in the processing of a clearance can be attributed to both the investigative process as well as the adjudicative process. The investigation process can be delayed if it requires extensive efforts in pursuit of

  19. Division Postdoctoral Appointments Frequently Asked Questions | Argonne

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

    National Laboratory Division Postdoctoral Appointments Frequently Asked Questions Are the Division Postdoctoral Appointments the same as "Regular Postdocs"? Yes. Who chooses the final candidate; DEP, the sub-committee, or the programmatic Division? The programmatic Division does. The sub-committee reviews the final candidate's application package to ensure that he or she complies with Argonne 's high standards and that all the requirements have been met. If the candidate has

  20. Frequently Asked Questions | netl.doe.gov

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

    Frequently Asked Questions Is US citizenship required? Yes. US citizenship is required for all federal vacancies. Am I eligible to apply for the All Sources, the Government-Wide, or should I apply for both announcements? All Sources: These vacancies are open to any US citizen or applicant eligible under the Government-wide area of consideration. Government-Wide: These vacancies are only open to Federal career/career conditional employees in the competitive service and Veterans who have

  1. Hanford Story: Groundwater - Questions - Hanford Site

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

    The Hanford Story Hanford Story: Groundwater - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size How did contamination get into the groundwater beneath the Hanford Site? What has caused the level of contamination to decrease over the years? What is the 2015 vision for Hanford? What is the goal of the water treatment systems and facilities? What is being done to treat groundwater to remove contamination? Is contaminated groundwater

  2. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

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

    2010-05-01

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

  3. Natural Gas from Shale: Questions and Answers | Department of Energy

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

    Shale: Questions and Answers Natural Gas from Shale: Questions and Answers Natural Gas from Shale: Questions and Answers (12.62 MB) More Documents & Publications Shale Gas Development Challenges: Fracture Fluids Shale Gas Glossary How is shale gas produced?

  4. Commissioning Specifications

    Office of Energy Efficiency and Renewable Energy (EERE)

    Commissioning specifications outline basic requirements of the commissioning process and detail the roles and responsibilities of each party involved. System checklists, startup requirements, and...

  5. Electric Vehicle Deployment: Policy Questions and Impacts to...

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

    Vehicle Deployment: Policy Questions and Impacts to the U.S. Electric Grid - EAC Recommendations (November 2011) Electric Vehicle Deployment: Policy Questions and Impacts to the ...

  6. NORTHEAST HOME HEATING OIL RESERVE (NEHHOR) QUESTIONS AND ANSWERS

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Questions and Answers document is a compilation of the most commonly asked questions (and answers) concerning the online auction system for the Northeast Home Heating Oil Reserve.

  7. Davis Bacon Frequently Asked Questions (FAQs) | Department of...

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

    Davis Bacon Frequently Asked Questions (FAQs) Davis Bacon Frequently Asked Questions (FAQs) PDF icon DBA FAQs More Documents & Publications Davis-Bacon Act - Under the American...

  8. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Meter Installations Questions and Answers for the Smart Grid Investment Grant Program: Reporting of Meter Installations Questions and answers related to the reporting of meter ...

  9. A Scientist Answers Your Battery Questions - Joint Center for...

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

    A Scientist Answers Your Battery Questions Venkat Srinivasan, JCESR Deputy Director of Integration, answers several of your questions about the future of battery research. Check it ...

  10. Frequently Asked Questions on Filing EISs with EPA's Office of...

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

    Frequently Asked Questions on Filing EISs with EPA's Office of Federal Activities (EPA, 1994) Frequently Asked Questions on Filing EISs with EPA's Office of Federal Activities (EPA, ...

  11. Berkeley Lab Answers Your Home Energy Efficiency Questions (Other...

    Office of Scientific and Technical Information (OSTI)

    Other: Berkeley Lab Answers Your Home Energy Efficiency Questions Citation Details In-Document Search Title: Berkeley Lab Answers Your Home Energy Efficiency Questions In this ...

  12. "Frequently Asked Questions" on the Department of Energy's NEPA...

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

    regarding DOE's NEPA implementation regulations. Revised "Frequently Asked Questions on the Department of Energy's NEPA Regulations More Documents & Publications Questions and...

  13. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Additional questions and answers from recipients of awards under the Smart Grid Investment Grant Program of the American Recovery and Reinvestment Act. Questions excerpted from...

  14. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Buy American Questions and Answers for the Smart Grid Investment Grant Program: Buy American Additional questions and answers from recipients of awards under the Smart Grid ...

  15. EERE Digital Data Management Frequently Asked Questions | Department...

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

    Frequently Asked Questions EERE Digital Data Management Frequently Asked Questions Submitting a Data Management Plan 1. I am submitting an applicationproposal for research funding ...

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

    SciTech Connect (OSTI)

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

    2012-07-01

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

  17. Frequently Asked Questions | The Ames Laboratory

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

    Frequently Asked Questions Search (Protected content only available when logged in) Search Reset Recent FAQs When I open an email in Thunderbird, I get a yellow bar saying "unverified signature; the key type is not supported by your version of GnuPG" and the email is blank. What's happening? What do I need to know about visitor parking passes? What is the address for Ames Laboratory buildings? What are the recommended system configurations? What desktop software has reached end of

  18. Frequently Asked Questions | National Nuclear Security Administration |

    National Nuclear Security Administration (NNSA)

    (NNSA) Frequently Asked Questions General What is a demonstration project? What employees are affected by the pay-banding and pay-for-performance demonstration project? When was pay-banding implemented? What is the duration of the demonstration project? What happens after 5 years? What is the process for converting employees from the pay-banding system back to the General Schedule system (in the event of a transfer to another federal agency)? What is a share? What occupational series will be

  19. Hanford Story: Future - Questions - Hanford Site

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

    The Hanford Story Hanford Story: Future - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size What possibilities do you see for future uses of the Hanford Site? What potential uses do the community surrounding Hanford envision for areas of land on the site? Why is land on the Hanford Site important to the local tribes? How much of the site is potentially available for future uses? What were some of the potential uses mentioned in the

  20. Hanford Story: Overview - Questions - Hanford Site

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

    Overview - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size What word did you use to describe Hanford before you watched the movie? After? Why is Hanford cleanup important to the local tribes? What role did Hanford play in the Manhattan Project? Why was Hanford selected for this? Why is Hanford considered a "city within its own right?" Why is B Reactor an important part of world history? Why did plutonium production continue

  1. Hanford Story: PFP - Questions - Hanford Site

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

    PFP - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size Why did Hanford produce so much plutonium? How hazardous is the Plutonium Finishing Plant in comparison to other facilities on the Hanford Site? What was the other name for the Plutonium Finishing Plant? Why was security and secrecy required for the plant and its product - plutonium? When did the last of the last shipment of plutonium leave the plant? What is the main focus of work

  2. Hanford Story: Recovery Act - Questions - Hanford Site

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

    The Hanford Story Hanford Story: Recovery Act - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size What did the Department of Energy and its contractors do with nearly $2 billion in stimulus funding? Why was the Department able to put the funding to use quickly? How many jobs were created by stimulus funding received at the Hanford Site? How much of the cleanup footprint of Hanford is left after projects funded by the Recovery Act were

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

    Open Energy Info (EERE)

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

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

    Reports and Publications (EIA)

    2010-01-01

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

  5. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect (OSTI)

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

    2014-07-09

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

  6. Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

    2010-02-21

    The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to

  7. Frequently Asked Questions about Natural Gas Regulation

    Office of Energy Efficiency and Renewable Energy (EERE)

    Can I get a copy of (a specific application, order, quarterly report, etc.)?Yes. All documents submitted to and developed by us are available online to the public. We do ask that you keep your...

  8. Presidential Permits and Export Authorizations- Frequently Asked Questions

    Office of Energy Efficiency and Renewable Energy (EERE)

    Frequently asked questions about Presidential Permits, Export Authorizations, Self Certifications, and Annual Reports related to permitting.

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

    SciTech Connect (OSTI)

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios

  10. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01

    higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

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

    SciTech Connect (OSTI)

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

    2005-07-01

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

  12. Home Energy Score Frequently Asked Questions | Department of Energy

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

    Score Frequently Asked Questions Home Energy Score Frequently Asked Questions Below you will find answers to frequently asked questions for homeowners and Partners about the Home Energy Score, from basics such as what a Home Energy Score is and how to become a Partner, to how the Score is calculated and what you can expect from your Score. Frequently Asked Questions for Homeowners (download a printable PDF) Frequently Asked Questions for Partners (download a printable PDF)

  13. Frequently Asked Questions about the Office of Energy Efficiency and

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

    Renewable Energy | Department of Energy Frequently Asked Questions about the Office of Energy Efficiency and Renewable Energy Frequently Asked Questions about the Office of Energy Efficiency and Renewable Energy Below are some of the questions we are regularly asked at EERE. These frequently asked questions cover topics such as EERE, tax credits and financial assistance, home energy, vehicles, industry, and energy education and training. If you don't find the answer to your question, please

  14. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema (OSTI)

    Gonzalez, Frank

    2010-01-08

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

  15. Why Models Don%3CU%2B2019%3Et Forecast.

    SciTech Connect (OSTI)

    McNamara, Laura A.

    2010-08-01

    The title of this paper, Why Models Don't Forecast, has a deceptively simple answer: models don't forecast because people forecast. Yet this statement has significant implications for computational social modeling and simulation in national security decision making. Specifically, it points to the need for robust approaches to the problem of how people and organizations develop, deploy, and use computational modeling and simulation technologies. In the next twenty or so pages, I argue that the challenge of evaluating computational social modeling and simulation technologies extends far beyond verification and validation, and should include the relationship between a simulation technology and the people and organizations using it. This challenge of evaluation is not just one of usability and usefulness for technologies, but extends to the assessment of how new modeling and simulation technologies shape human and organizational judgment. The robust and systematic evaluation of organizational decision making processes, and the role of computational modeling and simulation technologies therein, is a critical problem for the organizations who promote, fund, develop, and seek to use computational social science tools, methods, and techniques in high-consequence decision making.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    SciTech Connect (OSTI)

    Lantz, E.; Hand, M.

    2010-05-01

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

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

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

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

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

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

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

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

    Reports and Publications (EIA)

    2003-01-01

    This paper presents a short-term monthly forecasting model of West Texas Intermediate crude oil spot price using Organization for Economic Cooperation and Development (OECD) petroleum inventory levels.

  1. 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 ...

  2. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  4. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Sharp, J.; Margulis, M.; Mcreavy, D.

    2015-02-01

    This report summarizes an assessment of improved short-term wind power forecasting in the California Independent System Operator (CAISO) market and provides a quantification of its potential value.

  5. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

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

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

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

  7. Solar Trackers Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

    Tool (EFFECT) EFFECT is an open, Excel-based modeling tool used to forecast greenhouse gas emissions from a range of development scenarios at the regional and national levels....

  9. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    1995-05-01

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

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

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

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

  11. 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,

  12. Study forecasts disappearance of conifers due to climate change

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

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

    once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  14. DOT specification packages evaluation

    SciTech Connect (OSTI)

    Ratledge, J.E.; Rawl, R.R. )

    1991-01-01

    During the late 1960s and early 1970s, the Department of Transportation (DOT) specification package system was implemented to serve as a useful and equivalent alternative to the Nuclear Regulatory Commission (NRC) and the Bureau of Explosives approval systems for Type B and fissile radioactive material package designs. When a package design was used by a large number of organizations, the package design was added to the DOT regulations as a specification package authorized for use by any shipper. In the mid-1970s, the NRC revised its package design certification system to the one in use today. This paper reports that, while the NRC and DOT transportation regulations have evolved over the years, the DOT specification package designs have remained largely unchanged. Questions have been raised as to whether these designs meet the current and proposed regulations. In order to enable the NRC and DOT to develop a regulatory analysis that will support appropriate action regarding the specification packages, a study is being performed to compile all available design, testing, and analysis information on these packages.

  15. Have a Question About Energy Efficiency or Renewable Energy?...

    Energy Savers [EERE]

    a Question About Energy Efficiency or Renewable Energy? Ask Ener-Gee Whiz Have a Question About Energy Efficiency or Renewable Energy? Ask Ener-Gee Whiz May 26, 2009 - 4:37pm ...

  16. Commercial and Residential Hourly Load Data Question | OpenEI...

    Open Energy Info (EERE)

    Commercial and Residential Hourly Load Data Question Home Hi, I saw that you were actively replying to the questions on that page, so thought I'd contact you to ask about the data...

  17. Question/comment: An estimate of the direct productive labor...

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

    ... QuestionComment: "NETL has determined that this procurement is governed by the EPACT, ... QuestionComment: Will subcontractors be bound by indirect rate ceilings? If so and given ...

  18. Microsoft Word - Frequently_Asked_Questions | Department of Energy

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

    Frequently_Asked_Questions Microsoft Word - Frequently_Asked_Questions More Documents & Publications Microsoft Word - Document2 Microsoft Word - ARRAAttachment12v1.doc Microsoft Word - DRAFT CRB Interview Guidance

  19. Questions and Answers for the Smart Grid Investment Grant Program:

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

    Reporting Webinar | Department of Energy Webinar Questions and Answers for the Smart Grid Investment Grant Program: Reporting Webinar Questions and answers related to the reporting webinar for recipients receiving funds as part of the Smart Grid Investment Grant Project under the American Recovery and Reinvestment Act. Questions and Answers for the Smart Grid Investment Grant Program: Reporting Webinar (95.77 KB) More Documents & Publications Questions and Answers for the Smart Grid

  20. Home Energy Score Frequently Asked Questions for Partners

    Broader source: Energy.gov [DOE]

    Frequently asked questions for Partners of the U.S. Department of Energy's Home Energy Score Program.

  1. Frequently Asked Questions about Federal Utility Energy Service Contracts |

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

    Department of Energy Project Financing » Utility Energy Service Contracts » Frequently Asked Questions about Federal Utility Energy Service Contracts Frequently Asked Questions about Federal Utility Energy Service Contracts Frequently Asked Questions about Federal Utility Energy Service Contracts The Federal Energy Management Program (FEMP) offers answers to frequently asked questions about federal utility energy service contracts (UESCs). 1. What is a utility energy service contract? A

  2. Questions and Answers from Storage Pre-Solicitation Meeting

    Broader source: Energy.gov [DOE]

    Questions and Answers from "Grand Challenge" Hydrogen Storage Pre-Solicitation Meeting held June 19, 2003 in Washington, DC

  3. Frequently Asked Questions: About Federal Fleet Management (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2009-10-01

    Answers to frequently asked questions about Federal fleet management, Federal requirements, reporting, advanced vehicles, and alternative fuels.

  4. Weatherization Assistance Program (WAP) Closeout Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    This document provides a list of frequently asked questions in regards to the Weatherization Assistance Program (WAP) Closeout procedures.

  5. Frequently Asked Questions: Lighting Choices to Save You Money | Department

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

    of Energy Frequently Asked Questions: Lighting Choices to Save You Money Frequently Asked Questions: Lighting Choices to Save You Money Frequently Asked Questions: Lighting Choices to Save You Money Below are some of the most frequently asked questions and answers about the new lighting efficiency standards. Learn more about your lighting choices and find out how to shop for lights by lumens, not watts. Why are my lighting choices changing? What is the Energy Independence and Security Act of

  6. Questions Asked during the Financing Residential Energy Efficiency...

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

    contains the questions asked and the answers provided during the Financing Residential Energy Efficiency with Carbon Offsets Webinar financingresidentialenergyefficiencycarbon...

  7. Federal Energy and Water Management Awards: Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    Document answers frequently asked questions about nomination guidelines and criteria for the Federal Energy and Water Management Awards.

  8. Frequently Asked Questions on Small Wind Systems | Department of Energy

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

    Frequently Asked Questions on Small Wind Systems Frequently Asked Questions on Small Wind Systems Below are frequently asked questions related to using a small wind energy system to power your home. The frequently asked questions below will help you determine if a small wind energy system is practical for powering your home. What are the benefits to homeowners from using wind turbines? Is wind power practical for me? Is my site right? What about legal, environmental, and economic issues? Where

  9. Building Energy Asset Score Frequently Asked Questions | Department of

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

    Energy Commercial Buildings » Analysis Tools » Energy Asset Score » Building Energy Asset Score Frequently Asked Questions Building Energy Asset Score Frequently Asked Questions This page features answers to the most frequently asked questions about the Building Energy Asset Score. Choose from the list of questions below to learn more: Program Overview What is the Building Energy Asset Score? The Building Energy Asset Score is a national standardized tool for assessing the physical and

  10. Home Energy Score Frequently Asked Questions for Homeowners | Department of

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

    Energy Homeowners Home Energy Score Frequently Asked Questions for Homeowners Frequently asked questions for homeowners in the U.S. Department of Energy's Home Energy Score Program. HES_FAQ_Homeowners_013015.pdf (590.87 KB) More Documents & Publications Home Energy Score Frequently Asked Questions for Partners

  11. Frequently Asked Questions about ESPCs | Department of Energy

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

    Frequently Asked Questions about ESPCs Frequently Asked Questions about ESPCs Document answers frequently asked questions about energy savings performance contracts (ESPCs). Download the ESPC FAQs. (201.24 KB) More Documents & Publications Energy Savings Performance Contract ENABLE Briefing Energy Savings Contracts Webinar, May 20, 2013 FEMP Comprehensive ESPC Workshop Presentations

  12. Forecasting the 2013–2014 influenza season using Wikipedia

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

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are appliedmore » to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.« less

  13. Forecasting the 2013–2014 influenza season using Wikipedia

    SciTech Connect (OSTI)

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are applied to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.

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

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2012-04-01

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

  15. Wind power forecasting : state-of-the-art 2009.

    SciTech Connect (OSTI)

    Monteiro, C.; Bessa, R.; Miranda, V.; Botterud, A.; Wang, J.; Conzelmann, G.; Decision and Information Sciences; INESC Porto

    2009-11-20

    uncertainty in wind power and to more efficiently operate power systems with large wind power penetrations. Moreover, in a market environment, the wind power contribution to the generation portofolio becomes important in determining the daily and hourly prices, as variations in the estimated wind power will influence the clearing prices for both energy and operating reserves. With the increasing penetration of wind power, WPF is quickly becoming an important topic for the electric power industry. System operators (SOs), generating companies (GENCOs), and regulators all support efforts to develop better, more reliable and accurate forecasting models. Wind farm owners and operators also benefit from better wind power prediction to support competitive participation in electricity markets against more stable and dispatchable energy sources. In general, WPF can be used for a number of purposes, such as: generation and transmission maintenance planning, determination of operating reserve requirements, unit commitment, economic dispatch, energy storage optimization (e.g., pumped hydro storage), and energy trading. The objective of this report is to review and analyze state-of-the-art WPF models and their application to power systems operations. We first give a detailed description of the methodologies underlying state-of-the-art WPF models. We then look at how WPF can be integrated into power system operations, with specific focus on the unit commitment problem.

  16. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

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

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

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

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

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

    SciTech Connect (OSTI)

    1996-02-01

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

  19. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    2008-01-15

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

  20. SunShot Prize Frequently Asked Questions | Department of Energy

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

    Prize Frequently Asked Questions SunShot Prize Frequently Asked Questions This document details the frequently asked questions for the SunShot Prize: Race to 7-Day Solar. Updated: July 29 SunShot Prize FAQs July 2015.pdf (681.73 KB) More Documents & Publications SunShot Prize Competition Rules SunShot Prize Race to 7-Day Solar SunShot Podcast: 3 Reasons to Register for the SunShot Prize Today

  1. Frequently Asked Questions About the Technology Demonstration GATEWAY

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

    Program | Department of Energy Frequently Asked Questions About the Technology Demonstration GATEWAY Program Frequently Asked Questions About the Technology Demonstration GATEWAY Program This page addresses many of the questions about the DOE Solid-State Lighting Technology Demonstration GATEWAY program raised by potential eligible participants, such as manufacturers, demonstration host sites, utilities, and energy efficiency organizations. What is the DOE Solid-State Lighting (SSL)

  2. Frequently Asked Questions About the Building Performance Database |

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

    Department of Energy Commercial Buildings » Analysis Tools » Building Performance Database » Frequently Asked Questions About the Building Performance Database Frequently Asked Questions About the Building Performance Database On this page you will find answers to frequently asked questions pertaining to the DOE Buildings Performance Database (BPD). General What is the purpose of the BPD? What building energy performance data is included in the BPD? Access Information How can I access the

  3. Frequently Asked Questions on Energy Efficiency and Conservation Block

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

    Grant Financing Program Compliance and Reporting | Department of Energy Frequently Asked Questions on Energy Efficiency and Conservation Block Grant Financing Program Compliance and Reporting Frequently Asked Questions on Energy Efficiency and Conservation Block Grant Financing Program Compliance and Reporting Find answers to frequently asked questions (FAQs) regarding financing program reporting and compliance for programs developed using U.S. Department of Energy (DOE) Energy Efficiency

  4. Fermilab | Science | Particle Physics 101 | Questions for the Universe

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

    Questions for the Universe Photo: Superstrings To discover what the universe is made of and how it works is the challenge of particle physics. The landmark Quantum Universe report defines the quest of particle physicists to explain the universe in terms of nine key questions. In pursuit of answers to these questions, Fermilab supports researchers, experiments and facilities that promise to revolutionize our understanding of the universe. Einstein's Dream of Unified Forces thumbnail Are there

  5. Science on the Hill: Burning questions in study of wildfire

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

    Burning questions in study of wildfire Burning questions in study of wildfire Understanding what drives big fires and predicting their behavior helps the fire community prepare for the next blaze through appropriate land management, emergency plans and firefighting strategies. July 12, 2016 A helicopter drops fire retardant on wildfire during 2011 Las Conchas fire in New Mexico. A helicopter drops fire retardant on wildfire during 2011 Las Conchas fire in New Mexico. Burning questions in study

  6. Building America Program - Frequently Asked Questions | Department of

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

    Energy Building America Program - Frequently Asked Questions Building America Program - Frequently Asked Questions This page presents Frequently Asked Questions about the Building America program, with answers by program managers. How long has the Building America program been in existence? Since 1994, the U.S. Department of Energy's (DOE) Building America Program has worked to engineer the American home for energy efficiency, affordability, durability, and comfort. Building America works

  7. Career Map: Frequently Asked Questions (FAQ) | Department of Energy

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

    Frequently Asked Questions (FAQ) Career Map: Frequently Asked Questions (FAQ) FREQUENTLY ASKED QUESTIONS (FAQ) Who came up with the map? The Wind Career Map is the product of a working group of experts, including representatives from industry, education, government, labor, and the NGO community. The working group was convened by the U.S. Department of Energy's National Renewable Energy Laboratory. What is the purpose of the Wind Career Map? High-quality work and high-quality jobs are critical to

  8. Career Pathways Frequently Asked Questions (FAQs) | Department of Energy

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

    Career Pathways Frequently Asked Questions (FAQs) Career Pathways Frequently Asked Questions (FAQs) The following frequently asked questions were developed by OPM's Student Programs Office. They will clarify the use of the authority and assist managers, supervisors, and human resources professionals in effectively administering the Career Pathways Program. Career Pathways FAQs (343.17 KB) Responsible Contacts Kimberly Chappell SUPERVISORY HUMAN RESOURCES SPECIALIST E-mail

  9. Asking the Right Questions for a NEPA Review: An Environmental...

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

    New questions asked whether the proposed project would involve genetically engineered organisms, nanoscale materials or technology, or activities in aquatic environments. This ...

  10. Council on Environmental Quality - Forty Most Asked Questions...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Memorandum: Council on Environmental Quality - Forty Most Asked Questions Concerning CEQ's NEPA...

  11. Frequently Asked Questions about Federal Utility Energy Service...

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

    The Federal Energy Management Program (FEMP) offers answers to frequently asked questions ... may be modified to include one. 4. Why has FEMP published legal opinions and guidance from ...

  12. Frequently Asked Questions about the CALiPER Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    This page addresses many of the questions manufacturers, testing laboratories, consumers, retailers, and energy efficiency program sponsors may have about the DOE SSL Commercially Available LED...

  13. DOE response to questions from AHAM on the supplemental proposed...

    Energy Savers [EERE]

    on the supplemental proposed test procedure for residential clothes washers DOE response to questions from AHAM on the supplemental proposed test procedure for residential ...

  14. Critical Question #5: What are Recent Innovations in Air Distribution...

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

    5: What are Recent Innovations in Air Distribution Systems? Critical Question 5: What are Recent Innovations in Air Distribution Systems? The majority of heating systems are ...

  15. Frequently Asked Questions on Filing EISs with EPA's Office of...

    Office of Environmental Management (EM)

    Filing EISs with EPA's Office of Federal Activities This letter from the Director of the Environmental Protection Agency's Office of Federal Activities addresses common questions...

  16. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Questions and Answers for the Smart Grid Investment Grant Program: Applicability of Buy American Provision of Section 1605 of the Recovery Act to Projects Under the Smart Grid ...

  17. Responses to Collegiate Wind Competition 2016 RFP Questions

    Broader source: Energy.gov [DOE]

    Responses to technical questions are posted on the Federal Business Opportunities website, solicitation number RFC-5-52004. Proposals are due December 15, 2014.

  18. Questions and Answers about National Environmental Policy Act...

    Energy Savers [EERE]

    of Energy Efficiency and Renewable Energy. sepnepafaqs.pdf (121.42 KB) More Documents & Publications Questions and Answers on the Secretarial Policy Statement on NEPA (DOE, ...

  19. Questions and Answers on the Secretarial Policy Statement on...

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

    Answers on the DOE Secretarial Policy Statement on NEPA. QUESTIONS AND ANSWERS on the SECRETARIAL POLICY STATEMENT on the NATIONAL ENVIRONMENTAL POLICY ACT More Documents &...

  20. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Additional questions and answers from recipients on various grant and award related issues relative to the Smart Grid Investment Grant Program of the American Recovery and ...

  1. Questions and Answers for the Smart Grid Investment Grant Program...

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

    Questions and answers related to the reporting webinar for recipients receiving funds as part of the Smart Grid Investment Grant Project under the American Recovery and ...

  2. Ask Your Energy Innovation Hub Questions | Department of Energy

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

    April 22, 2013 - 4:57pm Addthis Ask Your Energy Innovation Hub Questions April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs Tomorrow, energy ...

  3. Asking the right questions: benchmarking fault-tolerant extreme...

    Office of Scientific and Technical Information (OSTI)

    Title: Asking the right questions: benchmarking fault-tolerant extreme-scale systems. Abstract not provided. Authors: Widener, Patrick ; Ferreira, Kurt Brian ; Levy, Scott N. ; ...

  4. Fermilab | Science | Questions for the Universe | The Birth of...

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

    Cosmic inflation presents challenges related to the fundamental questions in this report. One possibility is that cosmic inflation originated with a form of dark energy, akin to ...

  5. Frequently Asked Questions about the Buy American Provisions

    Broader source: Energy.gov [DOE]

    Here you'll find definitions of the terms and acronyms used in the Buy American Provision, as well as answers to frequently asked questions about the Provision.

  6. Three questions with: Ames Laboratory cybersecurity manager and...

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

    questions with: Ames Laboratory cybersecurity manager and researcher Chris Strasburg Chris Strasburg is a systems analyst at the U.S. Department of Energy's Ames Laboratory and a...

  7. 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 ...

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

    SciTech Connect (OSTI)

    Piwko, R.; Jordan, G.

    2011-11-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01

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

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

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

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

  12. 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

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

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2009-12-01

    The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

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

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  15. Weather Research and Forecasting Model with the Immersed Boundary Method

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    The Weather Research and Forecasting (WRF) Model with the immersed boundary method is an extension of the open-source WRF Model available for wwww.wrf-model.org. The new code modifies the gridding procedure and boundary conditions in the WRF model to improve WRF's ability to simutate the atmosphere in environments with steep terrain and additionally at high-resolutions.

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

    SciTech Connect (OSTI)

    Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

    2009-03-01

    In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

  17. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

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

    2011-11-29

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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    SciTech Connect (OSTI)

    Das, S.

    1991-12-01

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

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

    SciTech Connect (OSTI)

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

    1997-01-07

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

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

  2. Cool Roofs: Your Questions Answered | Department of Energy

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

    Roofs: Your Questions Answered Cool Roofs: Your Questions Answered January 6, 2011 - 2:58pm Addthis John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Last month Secretary Chu announced that the Department of Energy had installed a "cool roof" atop the west building of our Washington, DC headquarters. The announcement elicited a fair number of questions from his Facebook fans, so we decided to reach out to the people behind the project for their insight

  3. H2FIRST Frequently Asked Questions | Department of Energy

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

    H2FIRST Frequently Asked Questions H2FIRST Frequently Asked Questions Find answers to frequently asked questions about H2FIRST. What is H2FIRST? What is the H2FIRST project objective? What are the expected outcomes? What will H2FIRST include? How does H2FIRST relate to H2USA? Which geographic regions is H2FIRST focusing on? Why is DOE investing in this? Where is the funding coming from? How much funding is involved? What lab resources are being provided in support of H2FIRST? Who is involved?

  4. Frequently Asked Questions about Wind Energy | Department of Energy

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

    Information Resources » Frequently Asked Questions about Wind Energy Frequently Asked Questions about Wind Energy This page lists frequently asked questions about wind energy. What is wind energy? How do wind turbines work? How much energy comes from wind in the United States? I would like to put up a wind turbine at my house or property. How do I get started? What is the wind resource like in my area? Is wind power more expensive than other forms of energy? What grants or incentives are

  5. Combining multi-objective optimization and bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Wohling, Thomas

    2008-01-01

    Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multi-objective optimization and Bayesian Model Averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use observed tensiometric pressure head data at three different depths in a layered vadose zone of volcanic origin in New Zealand. A set of seven different soil hydraulic models is calibrated using a multi-objective formulation with three different objective functions that each measure the mismatch between observed and predicted soil water pressure head at one specific depth. The Pareto solution space corresponding to these three objectives is estimated with AMALGAM, and used to generate four different model ensembles. These ensembles are post-processed with BMA and used for predictive analysis and uncertainty estimation. Our most important conclusions for the vadose zone under consideration are: (1) the mean BMA forecast exhibits similar predictive capabilities as the best individual performing soil hydraulic model, (2) the size of the BMA uncertainty ranges increase with increasing depth and dryness in the soil profile, (3) the best performing ensemble corresponds to the compromise (or balanced) solution of the three-objective Pareto surface, and (4) the combined multi-objective optimization and BMA framework proposed in this paper is very useful to generate forecast ensembles of soil hydraulic models.

  6. Tuesday Talk: Secretary Chu Answers Your Questions LIVE | Department...

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

    You can submit your questions for consideration via the White House's official Facebook page or Whitehouse.gov. You can also utilize the White House Facebook application to discuss ...

  7. Dark matter and dark energy: The critical questions (Conference...

    Office of Scientific and Technical Information (OSTI)

    The critical questions are: (1) What form do the dark baryons take? (2) What is (are) the constituent(s) of the cold dark matter? (3) What is the nature of the mysterious dark ...

  8. Questions and Answers about National Environmental Policy Act (NEPA) Compliance

    Broader source: Energy.gov [DOE]

    Questions and answers about National Environmental Policy Act (NEPA) compliance for state and local projects funded by the U.S. Department of Energy (DOE) State Energy Program (SEP) in the DOE Office of Energy Efficiency and Renewable Energy.

  9. Submit Your Home Energy Efficiency Questions Now for Earth Day...

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

    Energy Saver for tips and advice on ways to save energy and money. Addthis Related Articles This Earth Day, Get Your Energy-Saving Questions Answered Submit Your Home Energy ...

  10. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    National Science Bowl U.S. Department of Energy SC-27 Forrestal Building 1000 ... The files below should be used as a resource for sample questions, not sample answers. ...

  11. Critical Question #7: What are the Best Practices for Single...

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

    7: What are the Best Practices for Single-Family Ventilation in All Climate Regions? Critical Question 7: What are the Best Practices for Single-Family Ventilation in All Climate ...

  12. Questions and answers based on revised 10 CFR Part 20

    SciTech Connect (OSTI)

    Borges, T.; Stafford, R.S.; Lu, P.Y.; Carter, D.

    1994-05-01

    NUREG/CR-6204 is a collection of questions and answers that were originally issued in seven sets and which pertain to revised 10 CFR Part 20. The questions came from both outside and within the NRC. The answers were compiled and provided by NRC staff within the offices of Nuclear Reactor Regulation, Nuclear Material Safety and Safeguards, Nuclear Regulatory Research, the Office of State Programs, and the five regional offices. Although all of the questions and answers have been reviewed by attorneys in the NRC Office of the General Counsel, they do not constitute official legal interpretations relevant to revised 10 CFR Part 20. The questions and answers do, however, reflect NRC staff decisions and technical options on aspects of the revised 10 CFR Part 20 regulatory requirements. This NUREG is being made available to encourage communication among the public, industry, and NRC staff concerning the major revisions of the NRC`s standards for protection against radiation.

  13. Ener-Gee Whiz Answers Your Questions: Thermostat Settings and...

    Energy Savers [EERE]

    Thermostat Settings and Solar Water Heaters Ener-Gee Whiz Answers Your Questions: Thermostat Settings and Solar Water Heaters June 23, 2009 - 12:54pm Addthis Amy Foster Parish ...

  14. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Print Text Size: A A A FeedbackShare Page Below are sample questions used at the regional competitions in previous years. Please note: as fields of science advance, the answers to ...

  15. Home Energy Score: Frequently Asked Questions for Homeowners

    Office of Energy Efficiency and Renewable Energy (EERE)

    Below you will find answers to frequently asked questions for homeowners about the Home Energy Score, from basics such as what a Home Energy Score is, to how the Score is calculated and what you...

  16. Invitation for Public Comment Question and Answer Form

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

    Invitation for Public Comment Question and Answer Form 1. How can the Department ensure that the process for selecting a site is fair? ________________________________________________________ ________________________________________________________ ________________________________________________________ ________________________________________________________ ________________________________________________________ 2. What models and experience should the Department use in designing the

  17. Research questions reality of 'supersolid' in helium-4

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

    Research questions reality of 'supersolid' in helium-4 Research questions reality of 'supersolid' in helium-4 When cooled to temperatures below minus 452 degrees below zero Fahrenheit, helium-4 becomes a liquid-and an extraordinary liquid at that. May 17, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  18. Questions and Answers for the Smart Grid Investment Grant Program:

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

    Reporting of Jobs Created/Retained in SIPRIS | Department of Energy Jobs Created/Retained in SIPRIS Questions and Answers for the Smart Grid Investment Grant Program: Reporting of Jobs Created/Retained in SIPRIS Questions and answers related to the reporting of jobs in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report and subsequent reports. Projects reporting jobs are part of the Smart Grid Investment Grant Project under the American Recovery

  19. Questions and Answers for the Smart Grid Investment Grant Program:

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

    Reporting of Meter Installations | Department of Energy Meter Installations Questions and Answers for the Smart Grid Investment Grant Program: Reporting of Meter Installations Questions and answers related to the reporting of meter installations in the SmartGrid Integrated Project Reporting Information System (SIPRIS), both for the intial report and subsequent reports. Projects reporting jobs are part of the Smart Grid Investment Grant Project under the American Recovery and Reinvestment

  20. Ex Parte Communication Gas Heat SPVU Question | Department of Energy

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

    Gas Heat SPVU Question Ex Parte Communication Gas Heat SPVU Question On Friday, February 6, 2015, the U.S. Department of Energy (DOE) conducted a public meeting on the Notice of Proposed Rulemaking (NOPR) for Single Package Vertical Unit (SPVU) energy conservation standards. 20150210_SPVU Ex Parte Memo_021015 (115.21 KB) More Documents & Publications Air-Conditioning, Heating, and Refrigeration Institute Ex Parte Memo 2014-12-12 Issuance: Energy Conservation Standard for SPVUs; Notice of

  1. Questions and Answers for the Smart Grid Investment Grant Program:

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

    Applicability of Buy American Provision of Section 1605 of the Recovery Act to Projects Under the Smart Grid Investment Grant Program | Department of Energy Questions and Answers for the Smart Grid Investment Grant Program: Applicability of Buy American Provision of Section 1605 of the Recovery Act to Projects Under the Smart Grid Investment Grant Program Questions and Answers for the Smart Grid Investment Grant Program: Applicability of Buy American Provision of Section 1605 of the Recovery

  2. Questions and Issues on Hydrogen Pipelines: Pipeline Transmission of

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

    Hydrogen | Department of Energy Questions and Issues on Hydrogen Pipelines: Pipeline Transmission of Hydrogen Questions and Issues on Hydrogen Pipelines: Pipeline Transmission of Hydrogen Pipping of GH2 Pipeline. Background: FG 64 built in 50ies, KP added in 70ies, active mining area over total length hpwgw_questissues_campbell.pdf (1.02 MB) More Documents & Publications Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues Hydrogen Pipeline Discussion EIS-0487:

  3. 100-D/H Area Proposed Plan - Questions and Answers

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

    Area Proposed Plan - Questions and Answers 100-D/H is one of six Hanford cleanup areas along the Columbia River. Past reactor and production operations resulted in soil and groundwater contamination. There will be approximately 300 waste sites addressed in the final Record of Decision. Q: Give an overview from production to now and into the future (history of reactors). A: Suggest replacing the answer to this question with the information: http://www.hanford.gov/page.cfm/100Area The Columbia

  4. 10 Questions Regarding SAE Hydrogen Fueling Standards | Department of

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

    Energy 10 Questions Regarding SAE Hydrogen Fueling Standards 10 Questions Regarding SAE Hydrogen Fueling Standards November 7, 2014 - 4:03pm Addthis The Department of Energy's (DOE's) Fuel Cell Technologies Office has made significant investment in hydrogen and fuel cell research and development (R&D) over the last decade, helping to cut fuel cell cost in half and enabling the commercialization of fuel cells for several early market applications. Working closely with industry has been

  5. Berkeley Lab Answers Your Home Energy Efficiency Questions

    ScienceCinema (OSTI)

    Walker, Iain

    2013-11-14

    In this follow-up "Ask Berkeley Lab" video, energy efficiency expert Iain Walker answers some of your questions about home energy efficiency. How do you monitor which appliances use the most energy? Should you replace your old windows? Are photovoltaic systems worth the cost? What to do about a leaky house? And what's the single biggest energy user in your home? Watch the video to get the answers to these and more questions.

  6. TM-30 FREQUENTLY ASKED QUESTIONS | Department of Energy

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

    Research & Development » Technology Application R&D » Standards Development » TM-30 FREQUENTLY ASKED QUESTIONS TM-30 FREQUENTLY ASKED QUESTIONS IES TM-30-15 is a new system of several related measures and graphics that can be used together to effectively evaluate and communicate a light source's color rendering properties. The development of the method involved synthesizing multiple related research efforts and combining ideas into a single, cohesive system of objective information

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

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2000-08-31

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

  8. Forecast of transportation energy demand through the year 2010

    SciTech Connect (OSTI)

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

    1991-04-01

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

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

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

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

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

    SciTech Connect (OSTI)

    Lemont, S.

    1980-01-01

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

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

    Broader source: Energy.gov [DOE]

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

  12. Got Questions About the Higgs Boson? Ask a Scientist

    ScienceCinema (OSTI)

    Hinchliffe, Ian

    2013-05-29

    Ask a scientist about the Higgs boson. There's a lot of buzz this week over new data from CERN's Large Hadron Collider (LHC) and the final data from Fermilab's Tevatron about the Higgs boson. It raises questions about what scientists have found and what still remains to be found -- and what it all means. Berkeley Lab's Ian Hinchliffe invites you to send in questions about the Higgs. He'll answer a few of your questions in a follow-up video later this week. Hinchliffe is a theoretical physicist who heads Berkeley Lab's sizable contingent with the ATLAS experiment at CERN. ? Post your questions in the comment box ? E-mail your questions to askascientist@lbl.gov ? Tweet to @BerkeleyLab ? Or post on our facebook page: facebook/berkeleylab Update on July 5: Ian responds to several of your questions in this video: http://youtu.be/1BkpD1IS62g Update on 7/04: Here's CERN's press release from earlier today on the latest preliminary results in the search for the long sought Higgs particle: http://press.web.cern.ch/press/PressReleases/Releases2012/PR17.12E.htm And here's a Q&A on what the news tells us: http://cdsweb.cern.ch/journal/CERNBulletin/2012/28/News%20Articles/1459460?ln=en CERN will present the new LHC data at a seminar July 4th at 9:00 in the morning Geneva time (3:00 in the morning Eastern Daylight Time, midnight on the Pacific Coast), where the ATLAS collaboration and their rivals in the CMS experiment will announce their results. Tevatron results were announced by Fermilab on Monday morning. For more background on the LHC's search for the Higgs boson, visit http://newscenter.lbl.gov/feature-stories/2012/06/28/higgs-2012/.

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

    SciTech Connect (OSTI)

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

    2012-09-01

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

  14. 7 Questions for Energy Entrepreneur Felipe Gomez | Department of Energy

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

    7 Questions for Energy Entrepreneur Felipe Gomez 7 Questions for Energy Entrepreneur Felipe Gomez May 13, 2015 - 3:30pm Addthis Felipe Gomez of FGC Plasma Solutions developed new, energy-efficient fuel injector technology that enabled the startup to <a href="/node/1047536">win a regional round</a> of the Energy Department's National Clean Energy Business Plan Competition. He was also honored at a White House event this week celebrating emerging entrepreneurs. | Photo

  15. Three Questions with NREL Director Martin Keller | Department of Energy

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

    Three Questions with NREL Director Martin Keller Three Questions with NREL Director Martin Keller June 23, 2016 - 3:47pm Addthis NREL Director Dr. Martin Keller (Photo by Dennis Shroeder | NREL) NREL Director Dr. Martin Keller (Photo by Dennis Shroeder | NREL) Learn More About NREL Dr. Martin Keller, who took the reins as the laboratory director of the National Renewable Energy Laboratory (NREL) late last year, has a clear vision of the role his lab and its researchers will play in helping the

  16. LED Color Stability: 10 Important Questions | Department of Energy

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

    LED Color Stability: 10 Important Questions LED Color Stability: 10 Important Questions This April 15, 2014 webinar examined the causes of color shift, and took a look at existing metrics used to describe color shift/color stability in LED lighting. The lumen maintenance lifetime of many LED products is 25,000 hours or more, but that doesn't mean products are guaranteed to perform the same over that time. One thing that could change is the color of the light, or chromaticity. Presenters Michael

  17. Users Frequently Asked Questions | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    | (NNSA) Users Frequently Asked Questions U.S. Department of Energy / U.S. Nuclear Regulatory Commission Nuclear Materials Management & Safeguards Systems Users Frequently Asked Questions Q. How do I request NMMSS services? A. The most effective way to request NMMSS services is to contact a nuclear materials analyst and ask for assistance. If you are unsure whom to call, contact any member of the NMMSS staff and you will be directed to the person who can be the most help on the topic

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

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

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

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

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

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

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

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2011-03-01

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

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

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

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

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

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

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

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

    SciTech Connect (OSTI)

    None, None

    2006-12-20

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

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

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

    Forecasting behind-the-meter distributed PV generation power production within a region ... This project is expected to reduce the costs of integrating higher penetrations of PV into ...

  5. Energy Department Announces $2.5 Million to Improve Wind Forecasting...

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

    turbines operate closer to maximum capacity, leading to lower energy costs for consumers. ... for the Weather Research and Forecasting model, a widely used weather prediction system. ...

  6. Value of Improved Wind Power Forecasting in the Western Interconnection (Poster)

    SciTech Connect (OSTI)

    Hodge, B.

    2013-12-01

    Wind power forecasting is a necessary and important technology for incorporating wind power into the unit commitment and dispatch process. It is expected to become increasingly important with higher renewable energy penetration rates and progress toward the smart grid. There is consensus that wind power forecasting can help utility operations with increasing wind power penetration; however, there is far from a consensus about the economic value of improved forecasts. This work explores the value of improved wind power forecasting in the Western Interconnection of the United States.

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

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

    electric system operators, and solar project owners better predict when and how much ... production varies, an accurate solar forecast is needed in order to maintain an ...

  8. 10 Questions for an Automotive Engineer: Thomas Wallner

    Broader source: Energy.gov [DOE]

    Meet Thomas Wallner – automotive engineer extraordinaire, who hails from Argonne National Laboratory’s Center for Transportation Research. He took some time to answer our 10 Questions and share his insight on advanced engine technologies from dual-fuel to biofuels.

  9. Implementation Guide for Use in Addressing Unreviewed Safety Question Requirements

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

    2001-10-24

    This Guide provides information to assist in the implementation and interpretation of Title 10 Code of Federal Regulations (CFR) Part 830.203, Unreviewed Safety Question Process, of the Nuclear Safety Management Rules for applicable nuclear facilities owned or operated by the Department of Energy (DOE), including the National Nuclear Security Administration (NNSA). Canceled by DOE N 251.93.

  10. Implementation Guide for Use in Addressing Unreviewed Safety Question Requirements

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

    2006-07-24

    This Guide provides information to assist in implementation of Title 10 Code of Federal Regulations Part 830.203, "Unreviewed Safety Question Process," of the Nuclear Safety Management Rules for Category 1, 2, and 3 nuclear facilities owned or operated by the Department of Energy, including the National Nuclear Security Administration. Cancels DOE G 424.1-1.

  11. Energy Savings Performance Contracts (ESPC): Frequently Asked Questions

    SciTech Connect (OSTI)

    2012-11-01

    An ESPC is a working relationship between a Federal agency and an energy service company (ESCO). The ESCO conducts a comprehensive energy audit for the Federal facility and identifies improvements to save energy. The following sections present a number of frequently asked questions from ESPC end-users and stakeholders.

  12. DOE response to questions from AHAM on the supplemental proposed test procedure

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

    response to questions from AHAM on the supplemental proposed test procedure for residential clothes washers"? (1) What exactly does the language in Part B mean and what is the intent? * The intent of Part B is to use the methodology that AHAM had suggested specifically for extra-hot cycles, but to make it more broadly applicable to any temperature combination that is locked out of the Normal cycle. * The proposed Part (B) language is meant to be consistent with GE's original suggestion in

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

    SciTech Connect (OSTI)

    Finley, Cathy

    2014-04-30

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the

  14. Questions, Comments, and Answers for Draft Request for Proposal Documents |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) Questions, Comments, and Answers for Draft Request for Proposal Documents DE-SOL-0008470 Responses to Draft Solicitation (Updated May 23, 2016) Related Topics apm contract Sandia National Laboratories snl Related News NNSA Statement Regarding Nevada National Security Site Management & Operating Contract NNSA Awards Nevada National Security Site Management & Operating Contract to NVS3T Los Alamos National Laboratory Steam Plant Project

  15. Research Misconduct: Information and Frequently Asked Questions on Policies

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

    and Procedures | U.S. DOE Office of Science (SC) Research Misconduct: Information and Frequently Asked Questions on Policies and Procedures Grants & Contracts Support Grants & Contracts Support Home About Funding Opportunity Announcements (FOAs) DOE National Laboratory Announcements Grants Process Grants Policy and Guidance Full Funding of Grants and Cooperative Agreements Grant/Cooperative Agreement Forms Research Misconduct FAQs Resources Contract Information Contact Information

  16. Implementation Guide for Use in Addressing Unreviewed Safety Question Requirements

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

    2010-04-08

    This Guide, including its attachments, provides information to assist in the implementation of Title 10 Code of Federal Regulations (CFR) Section 830.203, Unreviewed Safety Question Process, of the Nuclear Safety Management Rules for Category 1, 2, and 3 nuclear facilities owned or operated by the Department of Energy (DOE), including the National Nuclear Security Administration (NNSA). Cancels DOE G 424.1-1A. Admin Chg 1 dated 4-12-13.

  17. Implementation Guide for Use in Addressing Unreviewed Safety Question Requirements

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

    2010-04-08

    This Guide, including its attachments, provides information to assist in the implementation of Title 10 Code of Federal Regulations (CFR) Section 830.203, “Unreviewed Safety Question Process,” of the Nuclear Safety Management Rules for Category 1, 2, and 3 nuclear facilities owned or operated by the Department of Energy (DOE), including the National Nuclear Security Administration (NNSA). Admin Chg 2, dated 6-12-13, supersedes DOE G 424.1-1B Admin Chg 1.

  18. Ownership questions can stymie development of coalbed methane

    SciTech Connect (OSTI)

    Counts, R.A. )

    1990-01-01

    Although the technology exists for commercial recovery of coalbed methane, production has been hindered because of the legal quandary as to ownership. The author discusses how claims to ownership of coalbed methane can and have been made by the coal owner or lessee, the oil and gas owner or lessee, the surface owner, or any combination thereof. The federal perspective on this question of ownership is described and several state rulings are assessed.

  19. PEM Fuel Cell Pre-Solicitation Workshop Questions & Answers

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

    Fuel Cell Pre-Solicitation Workshop Summary of May 26, 2005 Questions and Answers 1 MULTI-YEAR RESEARCH, DEVELOPMENT AND DEMONSTRATION PLAN, TARGETS 1. What is your "vision" for the coming 3-5 years? In February, DOE's Office of Hydrogen, Fuel Cell and Infrastructure Technology (OHFCIT) issued the Multi-Year Research, Development and Demonstration Plan (MYRDDP), which is a 5-year plan featured on our website. This plan includes the mission, goals objectives, and technical targets of

  20. 10 Questions for Biophysical Chemist: Wendy Shaw | Department of Energy

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

    Biophysical Chemist: Wendy Shaw 10 Questions for Biophysical Chemist: Wendy Shaw May 12, 2011 - 5:21pm Addthis Wendy Shaw | Photo Courtesy of Pacific Northwest National Lab Wendy Shaw | Photo Courtesy of Pacific Northwest National Lab Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs A while ago, we shared a great video from Pacific Northwest National Lab (PNNL) and Northwest Public Television on how PNNL researchers are working to solve the energy storage challenge.

  1. 10 Questions for a Biochemist: Dan Schabacker | Department of Energy

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

    a Biochemist: Dan Schabacker 10 Questions for a Biochemist: Dan Schabacker June 30, 2011 - 12:22pm Addthis Biochemist Dan Schabacker uses microbial forensics technology -- using proteins in microbes to get clues about how they were created -- to detect where organisms, such as anthrax spores, came from. | Courtesy of Argonne National Laboratory Biochemist Dan Schabacker uses microbial forensics technology -- using proteins in microbes to get clues about how they were created -- to detect where

  2. 10 Questions for a Scientist: Erich Strohmaier | Department of Energy

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

    Scientist: Erich Strohmaier 10 Questions for a Scientist: Erich Strohmaier September 25, 2013 - 3:18pm Addthis Dr. Erich Strohmaier, of Lawrence Berkeley National Laboratory, presents data from the TOP500 list of supercomputers. | Photo courtesy of Berkeley Lab. Dr. Erich Strohmaier, of Lawrence Berkeley National Laboratory, presents data from the TOP500 list of supercomputers. | Photo courtesy of Berkeley Lab. Ben Dotson Ben Dotson Former Project Coordinator for Digital Reform, Office of Public

  3. 10 Questions for a Materials Chemist: Praveen Thallapally | Department of

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

    Energy Praveen Thallapally 10 Questions for a Materials Chemist: Praveen Thallapally February 24, 2011 - 10:03am Addthis Praveen Thallapally | photo courtesy of Pacific Northwest National Lab Praveen Thallapally | photo courtesy of Pacific Northwest National Lab Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs We recently had the opportunity to chat with materials chemist Praveen Thallapally at Pacific Northwest National Lab - he gave us an inside look at how

  4. 10 Questions for a Quantitative Geneticist: Wellington Muchero | Department

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

    of Energy Quantitative Geneticist: Wellington Muchero 10 Questions for a Quantitative Geneticist: Wellington Muchero July 1, 2013 - 11:15am Addthis Wellington Muchero is a quantitative geneticist at the Bioenergy Science Center in Oak Ridge, Tennessee. | Photo by Jason Richards, Oak Ridge National Laboratory. Wellington Muchero is a quantitative geneticist at the Bioenergy Science Center in Oak Ridge, Tennessee. | Photo by Jason Richards, Oak Ridge National Laboratory. On what led him to a

  5. 10 Questions with Advanced Tech Vehicle Engineer, Pam Fletcher | Department

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

    of Energy with Advanced Tech Vehicle Engineer, Pam Fletcher 10 Questions with Advanced Tech Vehicle Engineer, Pam Fletcher March 3, 2015 - 3:39pm Addthis Pamela Fletcher, GM Executive Chief Engineer for Electrified Vehicles, poses with the 2016 Chevrolet Volt at the 2015 North American International Auto Show | Photo Courtesy of General Motors, Steve Fecht. Pamela Fletcher, GM Executive Chief Engineer for Electrified Vehicles, poses with the 2016 Chevrolet Volt at the 2015 North American

  6. Currency Conversion and Energy Projections: Some Questions and Answers

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

    Currency Conversion and Energy Projections: Some Questions and Answers Vipin Arora November 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES November 2015 Vipin Arora | U.S. Energy Information

  7. 10 Questions for a Mechanical Engineer: Michael Brambley | Department of

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

    Energy Mechanical Engineer: Michael Brambley 10 Questions for a Mechanical Engineer: Michael Brambley July 17, 2013 - 1:51pm Addthis Pictured here is Michael Brambley in front of equipment that supplies chilled water to PNNL Building Diagnostics Laboratory's air handler. The cooled air from an air handler is distributed to terminal boxes, which are the last point for controlling air temperature and flow before distributing it throughout a building zone. In a new control strategy for

  8. 10 Questions for a Nanoscientist: Seth Darling | Department of Energy

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

    Nanoscientist: Seth Darling 10 Questions for a Nanoscientist: Seth Darling September 8, 2011 - 5:37pm Addthis Nanoscientist Seth Darling | Image courtesy of Argonne National Laboratory Nanoscientist Seth Darling | Image courtesy of Argonne National Laboratory Louise Lerner Media Specialist at Argonne National Laboratory "Materials really are the basis of almost every technology that's out there." - Seth Darling, Nanoscientist Ed. note: This is a cross-post from Argonne National

  9. 10 Questions for a Physicist: Christian Bauer | Department of Energy

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

    Physicist: Christian Bauer 10 Questions for a Physicist: Christian Bauer October 13, 2011 - 1:16pm Addthis Lawrence Berkeley National Laboratory Physicist Christian Bauer | Photo courtesy Roy Kaltschmidt, LBNL Lawrence Berkeley National Laboratory Physicist Christian Bauer | Photo courtesy Roy Kaltschmidt, LBNL Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Meet Christian Bauer - theoretical physicist at Lawrence Berkley National Laboratory and a newly minted

  10. 8 Questions for a Scientist: Molecular Biologist Dr. Amanda Barry |

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

    Department of Energy for a Scientist: Molecular Biologist Dr. Amanda Barry 8 Questions for a Scientist: Molecular Biologist Dr. Amanda Barry August 13, 2015 - 9:45am Addthis Molecular biologist Dr. Amanda Barry at Los Alamos National Laboratory's environmental photobioreactor matrix, which simulates microalgal biofuel pond conditions. <a href="/node/1143116">Algal biofuels have big potential</a> for America's clean energy future. | <a

  11. WEATHERIZATION OF RENTAL UNITS FREQUENTLY ASKED QUESTIONS Administration

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

    WEATHERIZATION OF RENTAL UNITS FREQUENTLY ASKED QUESTIONS Administration 1. What are the rental weatherization planning requirements for the Grantee? These requirements are detailed in the Annual Application Instructions, Section V, Master File, V.1.2. Approach to Determining Building Eligibility. Before weatherization of rental units, Grantees are required by DOE regulation (10 CFR 440.22(b)(3)) to establish, at a minimum, procedures for dwellings which consist of a rental unit or rental units,

  12. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the systems ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

  13. Recent Trends in Variable Generation Forecasting and Its Value to the Power System

    SciTech Connect (OSTI)

    Orwig, Kirsten D.; Ahlstrom, Mark L.; Banunarayanan, Venkat; Sharp, Justin; Wilczak, James M.; Freedman, Jeffrey; Haupt, Sue Ellen; Cline, Joel; Bartholomy, Obadiah; Hamann, Hendrik F.; Hodge, Bri-Mathias; Finley, Catherine; Nakafuji, Dora; Peterson, Jack L.; Maggio, David; Marquis, Melinda

    2014-12-23

    We report that the rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, and manage variable generation. The uncertainty around wind and solar power forecasts is still viewed by the power industry as being quite high, and many barriers to forecast adoption by power system operators still remain. In response, the U.S. Department of Energy has sponsored, in partnership with the National Oceanic and Atmospheric Administration, public, private, and academic organizations, two projects to advance wind and solar power forecasts. Additionally, several utilities and grid operators have recognized the value of adopting variable generation forecasting and have taken great strides to enhance their usage of forecasting. In parallel, power system markets and operations are evolving to integrate greater amounts of variable generation. This paper will discuss the recent trends in wind and solar power forecasting technologies in the U.S., the role of forecasting in an evolving power system framework, and the benefits to intended forecast users.

  14. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

  15. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison (Presentation)

    SciTech Connect (OSTI)

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

    2013-10-01

    This presentation summarizes the work to investigate the uncertainty in wind forecasting at different times of year and compare wind forecast errors in different power systems using large-scale wind power prediction data from six countries: the United States, Finland, Spain, Denmark, Norway, and Germany.

  16. Recent Trends in Variable Generation Forecasting and Its Value to the Power System

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

    Orwig, Kirsten D.; Ahlstrom, Mark L.; Banunarayanan, Venkat; Sharp, Justin; Wilczak, James M.; Freedman, Jeffrey; Haupt, Sue Ellen; Cline, Joel; Bartholomy, Obadiah; Hamann, Hendrik F.; et al

    2014-12-23

    We report that the rapid deployment of wind and solar energy generation systems has resulted in a need to better understand, predict, and manage variable generation. The uncertainty around wind and solar power forecasts is still viewed by the power industry as being quite high, and many barriers to forecast adoption by power system operators still remain. In response, the U.S. Department of Energy has sponsored, in partnership with the National Oceanic and Atmospheric Administration, public, private, and academic organizations, two projects to advance wind and solar power forecasts. Additionally, several utilities and grid operators have recognized the value ofmore » adopting variable generation forecasting and have taken great strides to enhance their usage of forecasting. In parallel, power system markets and operations are evolving to integrate greater amounts of variable generation. This paper will discuss the recent trends in wind and solar power forecasting technologies in the U.S., the role of forecasting in an evolving power system framework, and the benefits to intended forecast users.« less

  17. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

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

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together intomore » larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.« less

  18. Solar Photovoltaic SPECIFICATION, CHECKLIST...

    Energy Savers [EERE]

    Ready Home SOLAR PHOTOVOLTAIC SPECIFICATION, CHECKLIST AND GUIDE i Table of Contents About the Renewable Energy Ready Home Specifications Assumptions of the RERH Solar ...

  19. Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1

    SciTech Connect (OSTI)

    Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

    1994-05-01

    This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

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

    SciTech Connect (OSTI)

    Valero, O.J.

    1996-10-03

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

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

    SciTech Connect (OSTI)

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

    2005-02-09

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

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

    SciTech Connect (OSTI)

    Thomas, L.C.

    1994-10-01

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

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

    Broader source: Energy.gov [DOE]

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

  4. Questions and Answers for the Smart Grid Investment Grant Program: Grant

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

    and Award-Related Frequently Asked Questions | Department of Energy Grant and Award-Related Frequently Asked Questions Questions and Answers for the Smart Grid Investment Grant Program: Grant and Award-Related Frequently Asked Questions Additional questions and answers from recipients on various grant and award related issues relative to the Smart Grid Investment Grant Program of the American Recovery and Reinvestment Act. Questions and Answers for the Smart Grid Investment Grant Program:

  5. Microsoft Word - Amendment 000002 - Question & Answers.docx

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

    involved, as needed, and in accordance with the NTC training program and NETL policy. ... there is any specific level of weaponless self-defense training or certification required? ...

  6. Weather Research and Forecasting Model with Vertical Nesting Capability

    Energy Science and Technology Software Center (OSTI)

    2014-08-01

    The Weather Research and Forecasting (WRF) model with vertical nesting capability is an extension of the WRF model, which is available in the public domain, from www.wrf-model.org. The new code modifies the nesting procedure, which passes lateral boundary conditions between computational domains in the WRF model. Previously, the same vertical grid was required on all domains, while the new code allows different vertical grids to be used on concurrently run domains. This new functionality improvesmore » WRF's ability to produce high-resolution simulations of the atmosphere by allowing a wider range of scales to be efficiently resolved and more accurate lateral boundary conditions to be provided through the nesting procedure.« less

  7. Frequently Asked Questions (FAQs) - U.S. Energy Information Administration

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

    (EIA) Frequently Asked Questions Coal Does EIA have county-level energy production data? Does EIA have projections for energy production, consumption, and prices for individual states? Does EIA publish coking coal prices? From what country does the United States import the most coal? How do I convert between short tons and metric tons? How large are U.S. coal reserves? How many power plants are there in the United States? How much coal, natural gas, or petroleum is used to generate a

  8. DEBRIEF OF CENTRAL PLATEAU INNER AREA PRINCIPLES Questions:

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

    DEBRIEF OF CENTRAL PLATEAU INNER AREA PRINCIPLES Questions:  What is the definition for industrial vs residential land use?  Are the local DOE office(s) and HQ in agreement about what needs to be done?  Concerning the new ideas for characterization (bullet 3), how does HAB present ideas, how much detail is required, and how does the HAB know if these ideas have been considered earlier?  What is the difference between MTCA -B and -C level cleanup as applied to the Inner Area?  What

  9. Unreviewed Disposal Question Evaluation: Waste Disposal In Engineered Trench #3

    SciTech Connect (OSTI)

    Hamm, L. L.; Smith, F. G. III; Flach, G. P.; Hiergesell, R. A.; Butcher, B. T.

    2013-07-29

    Because Engineered Trench #3 (ET#3) will be placed in the location previously designated for Slit Trench #12 (ST#12), Solid Waste Management (SWM) requested that the Savannah River National Laboratory (SRNL) determine if the ST#12 limits could be employed as surrogate disposal limits for ET#3 operations. SRNL documented in this Unreviewed Disposal Question Evaluation (UDQE) that the use of ST#12 limits as surrogates for the new ET#3 disposal unit will provide reasonable assurance that Department of Energy (DOE) 435.1 performance objectives and measures (USDOE, 1999) will be protected. Therefore new ET#3 inventory limits as determined by a Special Analysis (SA) are not required.

  10. DOE Research and Development Accomplishments Frequently Asked Questions

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

    Frequently Asked Questions What does DOE R&D Accomplishments contain? What is the date range of the content? What is an accomplishment? What are the topics in DOE R&D Accomplishments? How often are reports added to the database? and how frequently are feature pages added? How do I download a document? how long will it take? and how much will it cost? If I am interested in just a few pages, can I download only those pages of interest? How do I get help with DOE R&D Accomplishments?

  11. Hanford Story: Tank Waste Cleanup - Questions - Hanford Site

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

    The Hanford Story Hanford Story: Tank Waste Cleanup - Questions The Hanford Story Email Email Page | Print Print Page | Text Increase Font Size Decrease Font Size Why is the Waste Treatment Plant being built? Where did the waste in the Tank Farms come from? How many gallons of waste are contained in the tanks? Why is removing the waste from the tanks so challenging? What is the Mobile Arm Retrieval System (MARS)? How will the tank waste be delivered to the Waste Treatment Plant? The Waste

  12. 10 Questions for a Physicist: Uwe Bergmann | Department of Energy

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

    Physicist: Uwe Bergmann 10 Questions for a Physicist: Uwe Bergmann June 23, 2011 - 1:55pm Addthis Uwe Bergmann | Photo Courtesy of Brad Plummer, SLAC Uwe Bergmann | Photo Courtesy of Brad Plummer, SLAC Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What are the key facts? Uwe Bergmann works with the world's first free electron x-ray laser to make atomic resolution movie of photosynthesis -- how sunlight splits water into oxygen. He used synchotron x-rays to view

  13. 10 Questions with Special Effects Designer Doug Roble | Department of

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

    Energy with Special Effects Designer Doug Roble 10 Questions with Special Effects Designer Doug Roble April 29, 2015 - 3:10pm Addthis Doug Roble says math is the backbone of the special effects industry. | Photo courtesy of The Ohio State University. Doug Roble says math is the backbone of the special effects industry. | Photo courtesy of The Ohio State University. Pat Adams Pat Adams Digital Content Specialist, Office of Public Affairs How can I participate? Follow along the Science bowl on

  14. Critical Question #5: What are Recent Innovations in Air Distribution

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

    Systems? | Department of Energy 5: What are Recent Innovations in Air Distribution Systems? Critical Question #5: What are Recent Innovations in Air Distribution Systems? The majority of heating systems are forced air. What kinds of innovations have been developed to make these systems more efficient? cq5_duct_splitter_box_beach.pdf (4.08 MB) cq5_attic_ducts_aldrich.pdf (4.92 MB) More Documents & Publications DOE Commercial Building Energy Asset Rating Program Focus Groups with Primary

  15. EIA - 2008 New Electric Power EIA-860 Form Anticipated Questions

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

    860 Answers to Anticipated Questions for New Form EIA-860, "Annual Electric Generator Report" I am currently registered for the survey Form EIA-860. Will I need to re-register prior to submitting my 2007 data? No, you will automatically have access to the Form EIA-860 once the form is open for data collection. How do I add a newly planned or missing existing electric plant to the Form EIA-860 survey? The respondent cannot add a new electric plant to the survey. EIA has to perform that

  16. EIA - 2008 New Electric Power EIA-923 Form Anticipated Questions

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

    923 Answers to Anticipated Questions for New Form EIA-923, "Power Plant Operations Report" I am currently registered for the survey Form EIA-906 and/or survey Form EIA-920. Will I need to re-register prior to submitting my data for Form EIA-923? No, you will automatically have access to the new Form EIA-923 once the form is open for data collection. What is Form EIA-923 and why has EIA come up with another form for me to fill out? Form EIA-923 replaces Forms EIA-906, EIA-920, EIA-423,

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

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2005-08-17

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

  18. The La Pica Formation-new ideas and more questions

    SciTech Connect (OSTI)

    Linares, Luz M.

    1996-08-01

    The La Pica Formation has been producing from the beginning of the century in the fields of the Santa Barbara-Jusepin trend and Pedernales field. These fields are located in the Eastern Venezuela Basin, one of the most prolific oil basins in Venezuela. The accumulative oil produced until now in Lagoven, S.A., area is 225,556 million barrels. The type of crude produced is ranging from light to heavy. The interval producing in the fields mentioned before measures in between 1000 and 3000 in. The La Pica formation is present in all of the Eastern Venezuela Basin and continues to be an important target for oil producing. In recent years, this formation has been drilled by several wells located in different areas apart from the traditional fields. These wells had provided new information which in some cases clarified some of the questions about the environment of deposition, geochemical composition age, reservoir quality and trap style. However, these wells also have raised new questions and La Pica Formation still has a number of problems. The La Pica Formation was deposited during the Late Miocene-Pliocene time, in continental to outer neritic environments. The sediments range from silts to fine sands with some shaly intervals. The first accumulations were discovered in pinchouts against highs. However, in recent seismic lines, La Pica Formation shows possible different style of traps for hydrocarbon that could contain commercial accumulations.

  19. An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study

    SciTech Connect (OSTI)

    De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

    2011-01-17

    This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

  20. Review of Variable Generation Forecasting in the West: July 2013 - March 2014

    SciTech Connect (OSTI)

    Widiss, R.; Porter, K.

    2014-03-01

    This report interviews 13 operating entities (OEs) in the Western Interconnection about their implementation of wind and solar forecasting. The report updates and expands upon one issued by NREL in 2012. As in the 2012 report, the OEs interviewed vary in size and character; the group includes independent system operators, balancing authorities, utilities, and other entities. Respondents' advice for other utilities includes starting sooner rather than later as it can take time to plan, prepare, and train a forecast; setting realistic expectations; using multiple forecasts; and incorporating several performance metrics.

  1. End Points Specification Methods

    Office of Energy Efficiency and Renewable Energy (EERE)

    Two methods to develop end point specifications are presented. These have evolved from use in the field for deactivation projects.

  2. Frequently Asked Questions About the Municipal Solid-State Street Lighting Consortium

    Broader source: Energy.gov [DOE]

    This page addresses many of the questions about the Municipal Solid-State Street Lighting Consortium.

  3. text_alternative_stat_webinar_questions_2012_7_25.docx | Department...

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

    questions2012725.docx textalternativestatwebinarquestions2012725.docx textalternativestatwebinarquestions2012725.docx File textalternativestatwebinarquestions...

  4. 02 10 15 NEI Questions DOE Workshop final | Department of Energy

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

    02 10 15 NEI Questions DOE Workshop final 02 10 15 NEI Questions DOE Workshop final 02 10 15 NEI Questions DOE Workshop Final (201.74 KB) More Documents & Publications CIGNL Questions - DOE CSC Workshop 2-10-15 NOPR NEI NOPR Fluor

  5. Grand Research Questions in the Solid-Earth Sciences Final Scientific/Technical Report

    SciTech Connect (OSTI)

    Linn, Anne M.

    2008-12-03

    Over the past three decades, Earth scientists have made great strides in understanding our planet’s workings and history. Yet this progress has served principally to lay bare more fundamental questions about the Earth. Expanding knowledge is generating new questions, while innovative technologies and new partnerships with other sciences provide new paths toward answers. A National Academies committee was established to frame some of the great intellectual challenges inherent in the study of the Earth and planets. The goal was to focus on science, not implementation issues, such as facilities or recommendations aimed at specific agencies. The committee canvassed the geological community and deliberated at length to arrive at 10 questions: 1. How did Earth and other planets form? 2. What happened during Earth’s “dark age” (the first 500 million years)? 3. How did life begin? 4. How does Earth’s interior work, and how does it affect the surface? 5. Why does Earth have plate tectonics and continents? 6. How are Earth processes controlled by material properties? 7. What causes climate to change—and how much can it change? 8. How has life shaped Earth—and how has Earth shaped life? 9. Can earthquakes, volcanic eruptions, and their consequences be predicted? 10. How do fluid flow and transport affect the human environment? Written for graduate students, colleagues in sister disciplines, and program managers funding Earth and planetary science research, the report describes where the field stands, how it got there, and where it might be headed. Our hope is that the report will spark new interest in and support for the field by showing how Earth science can contribute to a wide range of issues—including some not always associated with the solid Earth—from the formation of the solar system to climate change to the origin of life. Its reach goes beyond the United States; the report is being translated into Chinese and distributed in China.

  6. Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis

    SciTech Connect (OSTI)

    Fournier, W.M.; Hasson, V.

    1980-10-10

    This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

  7. Responses to IT-related Questions from the Transition Team | Department of

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

    Energy Responses to IT-related Questions from the Transition Team Responses to IT-related Questions from the Transition Team Responses to IT-related Questions from the Transition Team 2008, Responses_Questions_from_Transition_Team.pdf Responses to IT-related Questions from the Transition Team (123.36 KB) More Documents & Publications Memo_for_Elizabeth_Montoya_Transition_Team_Follow_Up.pdf The Chief Information Officer (CIO) at the U Audit Report: IG-0831

  8. Questions and Answers on the Secretarial Policy Statement on NEPA (DOE,

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

    1994) | Department of Energy Questions and Answers on the Secretarial Policy Statement on NEPA (DOE, 1994) Questions and Answers on the Secretarial Policy Statement on NEPA (DOE, 1994) Questions and Answers on the DOE Secretarial Policy Statement on NEPA. QUESTIONS AND ANSWERS on the SECRETARIAL POLICY STATEMENT on the NATIONAL ENVIRONMENTAL POLICY ACT (58.68 KB) More Documents & Publications "Frequently Asked Questions" on the Department of Energy's NEPA Regulations (DOE,

  9. "Frequently Asked Questions" on the Department of Energy's NEPA Regulations

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

    (DOE, 1998) | Department of Energy "Frequently Asked Questions" on the Department of Energy's NEPA Regulations (DOE, 1998) "Frequently Asked Questions" on the Department of Energy's NEPA Regulations (DOE, 1998) Answers to frequently asked questions regarding DOE's NEPA implementation regulations. Revised "Frequently Asked Questions on the Department of Energy's NEPA Regulations (94.47 KB) More Documents & Publications Questions and Answers on the Secretarial

  10. U.S. Crude Oil Production Forecast-Analysis of Crude Types

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

    of Energy Washington, DC 20585 U.S. Energy Information Administration | U.S. Crude Oil Production Forecast-Analysis of Crude Types i This report was prepared by the U.S....

  11. Resource Information and Forecasting Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01

    Researchers in the Resource Information and Forecasting group at NREL provide scientific, engineering, and analytical expertise to help characterize renewable energy resources and facilitate the integration of these clean energy sources into the electricity grid.

  12. A Public-Private-Academic Partnership to Advance Solar Power Forecasting

    Broader source: Energy.gov [DOE]

    The University Corporation for Atmospheric  Research (UCAR) will develop a solar power forecasting system that advances the state of the science through cutting-edge research.

  13. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  14. Ramping Effect on Forecast Use: Integrated Ramping as a Mitigation Strategy; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Diakov, Victor; Barrows, Clayton; Brinkman, Gregory; Bloom, Aaron; Denholm, Paul

    2015-06-23

    Power generation ramping between forecasted (net) load set-points shift the generation (MWh) from its scheduled values. The Integrated Ramping is described as a method that mitigates this problem.

  15. Examining Information Entropy Approaches as Wind Power Forecasting Performance Metrics: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Orwig, K.; Milligan, M.

    2012-06-01

    In this paper, we examine the parameters associated with the calculation of the Renyi entropy in order to further the understanding of its application to assessing wind power forecasting errors.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  17. Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Steckler, N.; Florita, A.; Zhang, J.; Hodge, B. M.

    2013-11-01

    As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

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

    Broader source: Energy.gov [DOE]

    Report forecasting the U.S. energy savings of LED white-light sources compared to conventional white-light sources (i.e., incandescent, halogen, fluorescent, and high-intensity discharge) over the...

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

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

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

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

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

    Gasoline price forecast to stay below 3 a gallon in 2015 The national average pump price of gasoline is expected to stay below 3 per gallon during 2015. In its new monthly ...