National Library of Energy BETA

Sample records for forecasting specific questions

  1. 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

  2. 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....

  3. Forecast Change

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

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

  4. ERDF Questions

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

    v1, 4/1/16 1 ERDF Questions The following questions were generated by Board members for the Tri-Party Agreement (TPA) agencies to answer when developing materials and a presentation/workshop about Environmental Restoration and Disposal Facility (ERDF) for the Board and general public. These questions represent a range of perspectives on the issue and is not a consensus product. The list may be added to or modified through ongoing discussion at the Board and subcommittees. History and Assumptions

  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. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  8. 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 ...

  9. 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...

  10. Forecasting Water Quality & Biodiversity

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

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

  11. 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...

  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. Inquiring Minds - Questions About Physics

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

    You Wrote: One day I was sitting in my living room, reading a book on physics, an idea ... This is, specifically, a question about dimensional physics (that's probably not the real ...

  14. Using Wikipedia to forecast disease

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

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

  15. 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 ...

  16. Frequently Asked Questions | Geothermal

    Office of Scientific and Technical Information (OSTI)

    Frequently Asked Questions Frequently Asked Questions What is the Geothermal Legacy Collection? The Geothermal collection is available to the geothermal community and interested ...

  17. Acquisition Forecast | Department of Energy

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

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

  18. The forecast calls for flu

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

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

  19. 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...

  20. 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.

  1. 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

  2. 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

  3. 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

  4. Frequently Asked Questions

    Broader source: Energy.gov [DOE]

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

  5. ARM - Comments and Questions

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

    ARMComments and Questions About Become a User Recovery Act Mission FAQ Outreach Displays History Organization Participants Facility Statistics Forms Contacts Facility Documents ARM...

  6. 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...

  7. 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

  8. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

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

  9. 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)

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  11. Supply Forecast and Analysis (SFA)

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

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

  12. 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.

  13. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

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

  14. 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...

  15. Frequently Asked Questions

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

    ... Start working on it early. 4. Don't be afraid to ask questions. 5. Camping at White Sands is amazing. 6. Avoid Roswell and its UFO museum. 7. Book a real caving trip at Carlsbad. ...

  16. Frequently Asked Questions | DOEpatents

    Office of Scientific and Technical Information (OSTI)

    Frequently Asked Questions Frequently Asked Questions Why was this database developed and by whom? DOepatents was developed by the U.S. Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) to demonstrate the Department's contribution to scientific progress in the physical sciences and other disciplines. How is this collection different than the one at the United States Patent and Trademark Office? This collection includes only patents sponsored by DOE through a grant,

  17. 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

  18. ARM - Science Questions

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

    Science Questions Related Links RACORO Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Data Guide (PDF, 1.4MB) Campaign Journal Flight Details Images ARM flickr site Deployment Operations Measurements Science & Operations Plan (PDF, 640K) SGP Data Plots RACORO wiki Login Required Experiment Planning Steering Committee Science Questions RACORO Proposal Abstract Full Proposal (PDF, 886K) Collaborations Meetings CLOWD Working Group News Discovery Channel Earth Live Blog

  19. Web Feedback & Questions - Hanford Site

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

    Web Feedback & Questions Web Feedback & Questions Web Feedback & Questions Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Please let us know if you have any input, suggestions, comments or questions regarding the Hanford Web Site. If your comment is about a specific page, please tell us the URL (Internet address) or the subject of the page in the box below. Did you find hanford.gov easy to use? Yes No n/a Did you find the information you needed? Yes

  20. 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:...

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

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

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

  2. 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.

  3. Science on Tap - Forecasting illness

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

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

  4. 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

  5. Frequently Asked Questions

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

    WIPP UPDATE: May 22, 2014 Frequently Asked Questions What caused the fire and the radiation release events? The federal accident investigation board who reviewed the underground salt haul truck fire at WIPP attributed the cause of the fire to buildup of combustible fluids on the truck that came into contact with hot surfaces. The report can be found at http://www.wipp.energy.gov/Special/AIB Report.pdf. The accident investigation board's initial investigation into the February 14 radiological

  6. 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

  7. 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.

  8. 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 PDF icon Question and Answer to Procedural Questions on Application for Rehearing : Order No. 202-05-02 More Documents & Publications Comments

  9. Acquisition Forecast Download | Department of Energy

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

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

  10. 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.

  11. 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...

  12. 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

  13. Frequently Asked Questions

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

    Asked 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

  14. Frequently Asked Questions

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

    5, 2015 Frequently Asked Questions Is any water flowing in though the exhaust shaft, as reported by Lokesh Chaturvedi many years ago? There is some shallow seepage into the exhaust shaft, as is the case with all mine shafts in the area. The WIPP exhaust shaft is considered a dry shaft by mining standards. Were there any sensors in place that detected the 8x8x2' chunk of ceiling? Since the area was contaminated, how much plutonium was dispersed and lofted into the air as a result of the roof

  15. Doing Business Frequently Asked Questions

    Broader source: Energy.gov [DOE]

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  18. 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

  19. 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.

  20. 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. ...

  1. 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

  2. NREL: Resource Assessment and Forecasting Home Page

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

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

  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. 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

  5. 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

  6. 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...

  7. 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.

  8. Texoma Region Public Meeting - Question Card Questions for Southwestern Power

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

    4 Texoma Region Public Meeting - Question Card Questions for Southwestern Power Administration (SWPA or Southwestern) 1. Does SWPA or its customers have the option to purchase power from natural gas or coal fired electric plants? Answer: Yes. Both Southwestern and its customers have the ability to purchase power from other sources. In times of drought, purchasing replacement power from other sources is a strategy that is used by Southwestern and its customers in order to conserve the hydropower

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Solar Forecast Improvement Project | Department of Energy

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

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

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

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

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

  16. 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...

  17. 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...

  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)

    mass by interacting with the Higgs field. But to answer your question, we need only general relativity. Since before most of modern particle physics (including the idea of a...

  20. 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...

  1. Inquiring Minds - Questions About Physics

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

    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...

  2. 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

  3. 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

  4. 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

  5. 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

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

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

    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 ...

  7. Frequently Asked Questions | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    Frequently Asked Questions Frequently Asked Questions I'm a researcher at a DOE national laboratory and have just had a manuscript accepted for publication in a peer-reviewed journal; what do I need to do in order to comply with DOE's public access requirements? I'm a researcher with a grant from DOE and have just had a manuscript accepted for publication in a peer-reviewed journal; what do I need to do in order to comply with DOE's public access requirements? What is DOE's Public Access

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  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)

    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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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 ...

  4. 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 ...

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

  8. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01

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

  9. Towards a Science of Tumor Forecast for Clinical Oncology

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

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

    2015-01-01

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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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.

  15. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  16. 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.

  17. 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...

  18. 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....

  19. 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...

  20. 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.

  1. NREL: Resource Assessment and Forecasting - Research Staff

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

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

  2. 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.

  3. 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...

  4. 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.

  5. 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

  6. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

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

  7. 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 ...

  8. 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 &...

  9. 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 ...

  10. Technical Assistance: Frequently Asked Questions | Department...

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

    Frequently Asked Questions Technical Assistance: Frequently Asked Questions What types of technical assistance does DOE offer? Technical assistance is provided through national ...

  11. LED Frequently Asked Questions | Department of Energy

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

    This document provides answers to LED frequently asked questions for plant-wide improvements, such as "Are LEDs ready for general lighting?" PDF icon LED Frequently Asked Questions ...

  12. Cybersecurity Capability Maturity Model - Frequently Asked Questions...

    Energy Savers [EERE]

    Frequently Asked Questions (February 2014) Cybersecurity Capability Maturity Model - Frequently Asked Questions (February 2014) The Cybersecurity Capability Maturity Model (C2M2)...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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,

  2. 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

  3. 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

  4. 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?

  5. 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

  6. 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

  7. 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,

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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

  9. 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

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

    SciTech Connect (OSTI)

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

    2014-05-01

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

  11. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

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

    1994-09-01

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

  12. 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

  13. 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

  14. Frequently Asked Questions | Department of Energy

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

    Postdoctoral Research Awards » 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:

  15. 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.

  16. 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 ...

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

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

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

  18. Comments/Questions | Critical Materials Institute

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

    CommentsQuestions 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...

  19. 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

  20. 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.

  1. DOE - NNSA/NFO -- Frequently Asked Questions

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

    Frequently Asked Questions NNSA/NFO Language Options U.S. DOE/NNSA - Nevada Field Office Frequently Asked Questions General Questions Photographs Films Publications / Reports Contact Information Directories Nevada National Security Site Medical Claims GENERAL QUESTIONS Q. What are the directives and goals of the Nevada Field Office? A. The primary role of the Nevada Field Office is to ensure the successful accomplishment of assigned activities in a safe, secure, efficient, and environmentally

  2. 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...

  3. 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

  4. 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.

  5. 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.

  6. 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)

  7. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

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

  8. 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.

  9. Questions and Answers | Department of Energy

    Energy Savers [EERE]

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

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

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

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

  11. 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.

  12. 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.

  13. 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.

  14. 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 includes the characterization of patient-specific response with implications for treatment management and research study design.

  15. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [OSTI]

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

    2014-12-30

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

  16. Frequently Asked Questions | National Nuclear Security Administration

    National Nuclear Security Administration (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 Asked

  17. 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.

  18. Frequently Asked Questions | Department of Energy

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

    operational, but users will lose the ability to search for courses across other NTER ... video, in PowerPoint, and multiple choice questions, or narrative type scenarios. ...

  19. 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...

  20. 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.

  1. Fermilab | Tritium at Fermilab | Frequently asked questions

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

    Frequently asked questions about tritium Answers to Frequently Asked Questions about Tritium at Fermilab. If you have any questions about tritium at Fermilab, please call the Office of Communication at 630-840-3351, or submit a question online. Q: What is tritium? A: Tritium is a form of hydrogen. It's a weakly radioactive isotope with a half-life of 12.3 years. When tritium decays into ordinary helium, it emits low-energy particles called beta particles. Although tritium can be found as a gas,

  2. Frequently Asked Questions | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    ... associating with persons involved in criminal activity; which raises questions about that candidate's reliability, trustworthiness and ability to protect classified information. ...

  3. 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...

  4. 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.

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

    SciTech Connect (OSTI)

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

    1983-01-01

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

  6. 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.

  7. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

  12. 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

  13. Frequently Asked Questions | The Ames Laboratory

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

    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

  14. 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.

  15. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  18. 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.

  19. 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, ...

  20. 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...

  1. 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...

  2. 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.

  3. 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.

  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. Frequently Asked Questions About the Higgs Boson

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

    Questions About the Higgs Boson What is a Higgs field? What is a Higgs boson? The Higgs field is like a giant vat of molasses spread throughout the universe. Most of the known...

  6. 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...

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

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

    Shale: Questions and Answers Natural Gas from Shale: Questions and Answers PDF icon Natural Gas from Shale: Questions and Answers More Documents & Publications Shale Gas ...

  8. Response to Questions on Presentation to NAS (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    Response to Questions on Presentation to NAS Citation Details In-Document Search Title: Response to Questions on Presentation to NAS Response to questions on the presentation ...

  9. Frequently Asked Questions | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Frequently Asked Questions Frequently Asked Questions Why was the DOE Data Explorer developed? How has its original "vision" changed over the years? The DOE Data Explorer (DDE) launched in 2008 as a way to guide users to collections of publicly available, DOE-sponsored data. The collections may reside at data centers, user facilities, on pages maintained by groups within laboratories, or on university websites. They contain many forms and formats and reach across all of DOE's science

  10. 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 Hanford Story: Future - Questions 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

  11. 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 Hanford Story: Groundwater - Questions 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

  12. Hanford Story: PFP - Questions - Hanford Site

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

    PFP - Questions The Hanford Story Hanford Story: PFP - Questions 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?

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

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

    Recovery Act - Questions The Hanford Story Hanford Story: Recovery Act - Questions 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

  14. 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

  15. 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

  16. 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.

  17. 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.

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

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

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

  19. 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

  20. 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

  1. 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.

  2. 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...

  3. Hanford Story: Overview - Questions - Hanford Site

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

    Overview - Questions The Hanford Story Hanford Story: Overview - Questions 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

  4. Better Plants Program Frequently Asked Questions

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

    Frequently Asked Questions (FAQ) Learn more at energy.gov/eere/amo/better-plants Contents 1. What is the Better Buildings, Better Plants Program and why is it important? ...............................................2 2. How does my company join the Better Plants Program? .................................................................................2 3. What does DOE offer Better Plants Partners?

  5. Got a Question? We Have an Answer!

    Broader source: Energy.gov [DOE]

    Editor's Note: This entry has been cross-posted from energysavers.gov. Ever had a question -- maybe about energy efficiency, renewable energy, the Department of Energy or the like -- and not had any idea where to find the answer? The EERE Information Center might be able to help.

  6. 10 Questions for a Physicist: Antonio Checco

    Broader source: Energy.gov [DOE]

    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.

  7. 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.

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

    SciTech Connect (OSTI)

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

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  9. 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.

  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

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are 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. 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.

  12. 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.

  13. 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

  14. 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

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

    Broader source: Energy.gov [DOE]

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

  16. 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,...

  17. 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....

  18. 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.

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

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

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

  20. 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.

  1. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect (OSTI)

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

    2015-02-01

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

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

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

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

  3. 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.

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

    Office of Scientific and Technical Information (OSTI)

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

  5. 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...

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

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

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

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

    Office of Environmental Management (EM)

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

  8. Modeling and forecasting the distribution of Vibrio vulnificus in

    Office of Scientific and Technical Information (OSTI)

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

  9. Forecasting neutrino masses from combining KATRIN and the CMB observations:

    Office of Scientific and Technical Information (OSTI)

    Frequentist and Bayesian analyses (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses Citation Details In-Document Search Title: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses We present a showcase for deriving bounds on the neutrino masses from laboratory experiments and cosmological

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

    Energy Savers [EERE]

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

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

    Office of Scientific and Technical Information (OSTI)

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

  12. Study forecasts disappearance of conifers due to climate change

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

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

  13. Commissioning Specifications

    Broader source: Energy.gov [DOE]

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

  14. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Questions Set 6 | Sample Questions Set 7 | Sample Rounds Sample Questions Set 1 Round 1 .pdf file (51KB) Round 2 .pdf file (46KB) Round 3 .pdf file (42KB) Round 4 .pdf file (42KB)...

  15. Fermilab Office of General Counsel - Ethics Program - Submit a Question

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

    Submit a Question Ask the Ethicist Ask the Ethicist Questions & Answers Submit a Question Annual Reminders Reporting Fraud Holiday Parties Fermilab employees can complete the form below to submit a question to an ethicist. Names and e-mails will not be posted. If you'd like a personal reply or want to be notified if your submitted question and answer are posted, please include an e-mail address. Required fields are marked with an asterisk (*). Name: Email address: *Question:

  16. National Oceanic and Atmospheric Administration Provides Forecasting Support for CLASIC and CHAPS 2007

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

    NOAA Provides Forecasting Support for CLASIC and CHAPS 2007 Forecasting Challenge While weather experiments in the heart of Tornado Alley typically focus on severe weather, the CLASIC and CHAPS programs will have different emphases. Forecasters from the National Oceanic and Atmospheric Administration in Norman, Okla. will provide weather forecasting support to these two Department of Energy experiments based in the state. Forecasting support for meteorological research field programs usually

  17. 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...

  18. Los Alamos National Laboratory (LANL) Unreviewed Safety Question...

    Office of Environmental Management (EM)

    Unreviewed Safety Question (USQ) Process Los Alamos National Laboratory (LANL) Unreviewed Safety Question (USQ) Process The documents included in this listing are additional...

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

    Broader source: Energy.gov [DOE]

    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.

  20. PEM Fuel Cell Pre-Solicitation Workshop Questions & Answers ...

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

    PEM Fuel Cell Pre-Solicitation Workshop Questions & Answers Questions & Answers about Department of Energy Hydrogen Program fuel cell solicitation. PDF icon pemfuelwkspqa.pdf ...

  1. 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 ...

  2. Microsoft Word - Frequently_Asked_Questions | Department of Energy

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

    FrequentlyAskedQuestions Microsoft Word - FrequentlyAskedQuestions More Documents & Publications Microsoft Word - Document2 Microsoft Word - ARRAAttachment12v1.doc Microsoft ...

  3. 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...

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

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

    Asking the Right Questions for a NEPA Review: An Environmental Questionnaire for Funding Proposals Asking the Right Questions for a NEPA Review: An Environmental Questionnaire for ...

  5. 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, ...

  6. 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 ...

  7. "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...

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

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

  9. 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

  10. 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 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 covered in

  11. 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

  12. 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.

  13. Frequently Asked Questions about Natural Gas Regulation

    Broader source: Energy.gov [DOE]

    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...

  14. 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.

  15. 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

  16. 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)

  17. 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.

  18. Critical Question #2: What are the Best Practices for Ventilation Specific to Multifamily Buildings?

    Broader source: Energy.gov [DOE]

    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 performance in multifamily homes? What systems actually function as intended and can be implemented by builders and contractors?

  19. 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

    Many countries and regions are introducing policies aimed at reducing the environmental footprint from the energy sector and increasing the use of renewable energy. In the United States, a number of initiatives have been taken at the state level, from renewable portfolio standards (RPSs) and renewable energy certificates (RECs), to regional greenhouse gas emission control schemes. Within the U.S. Federal government, new energy and environmental policies and goals are also being crafted, and these are likely to increase the use of renewable energy substantially. The European Union is pursuing implementation of its ambitious 20/20/20 targets, which aim (by 2020) to reduce greenhouse gas emissions by 20% (as compared to 1990), increase the amount of renewable energy to 20% of the energy supply, and reduce the overall energy consumption by 20% through energy efficiency. With the current focus on energy and the environment, efficient integration of renewable energy into the electric power system is becoming increasingly important. In a recent report, the U.S. Department of Energy (DOE) describes a model-based scenario, in which wind energy provides 20% of the U.S. electricity demand in 2030. The report discusses a set of technical and economic challenges that have to be overcome for this scenario to unfold. In Europe, several countries already have a high penetration of wind power (i.e., in the range of 7 to 20% of electricity consumption in countries such as Germany, Spain, Portugal, and Denmark). The rapid growth in installed wind power capacity is expected to continue in the United States as well as in Europe. A large-scale introduction of wind power causes a number of challenges for electricity market and power system operators who will have to deal with the variability and uncertainty in wind power generation when making their scheduling and dispatch decisions. Wind power forecasting (WPF) is frequently identified as an important tool to address the variability and 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.

  20. 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).

  1. 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).

  2. Questions below are regarding the spreadsheet EERE-2014-BT-STD...

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

    ... Sheet: Statistics and 2011 LCC Sheet: Forecast Cells a) The annual heating load in the ... them? 3) DOE 2011 Furnace LCC Sheet "Forecast Cells" Installed Price (H8 to H12), 2009 ...

  3. 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...

  4. 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.

  5. 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.

  6. 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.

  7. Ener-Gee Whiz Answers Your Questions: Thermostat Settings and...

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

    ... Ener-Gee Whiz Answers Your Questions: Wind vs. Solar Have a Question About Energy Efficiency or Renewable Energy? Ask Ener-Gee Whiz Conventional Storage Water Heater Basics

  8. 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...

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

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

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

  10. A Public-Private-Academic Partnership to Advance Solar Power Forecasting |

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

    Department of Energy A Public-Private-Academic Partnership to Advance Solar Power Forecasting A Public-Private-Academic Partnership to Advance Solar Power Forecasting UCAR logo2.jpg The University Corporation for Atmospheric Research (UCAR) will develop a solar power forecasting system that advances the state of the science through cutting-edge research. APPROACH UCAR value chain.png The team will develop a solar power forecasting system that advances the state of the science through

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

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

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

  12. 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.

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

    SciTech Connect (OSTI)

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

    2011-03-28

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

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

    SciTech Connect (OSTI)

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

    2009-03-01

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

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

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

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

  16. 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

  17. 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.

  18. 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

  19. Questions Asked during the Financing Residential Energy Efficiency with

    Energy Savers [EERE]

    Carbon Offsets Webinar | Department of Energy Questions Asked during the Financing Residential Energy Efficiency with Carbon Offsets Webinar Questions Asked during the Financing Residential Energy Efficiency with Carbon Offsets Webinar This document contains the questions asked and the answers provided during the Financing Residential Energy Efficiency with Carbon Offsets Webinar PDF icon financing_residential_energy_efficiency_carbon_offsets_questions.pdf More Documents & Publications

  20. Program Evaluation: Define Questions and Methods | Department of Energy

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

    Planning & Conducting Evaluations » Program Evaluation: Define Questions and Methods Program Evaluation: Define Questions and Methods 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 general program evaluations): Step 5: Decisions and Questions Step 6: Develop Research Design Step 7: Identify Report Contents and Establish QA Step 8: Establish Quality

  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. Home Energy Score Frequently Asked Questions for Homeowners

    Broader source: Energy.gov [DOE]

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

  4. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

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

    2011-11-29

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

  5. 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.

  6. 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. PDF icon Career Pathways FAQs Responsible Contacts Kimberly Chappell SUPERVISORY HUMAN RESOURCES SPECIALIST E-mail

  7. 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). PDF icon Download the ESPC FAQs. More Documents & Publications Energy Savings Performance Contract ENABLE Briefing Energy Savings Contracts Webinar, May 20, 2013 FEMP Comprehensive ESPC Workshop Presentations

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

    Broader source: Energy.gov [DOE]

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

  9. 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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13

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

  11. 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.

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

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

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

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

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data Center (RReDC) Provides information about biomass, geothermal, solar, and wind energy resources. Measurement and Instrumentation Data Center Provides irradiance and meteorological data from stations throughout the United States. Baseline Measurement System (BMS) Provides live solar radiation data from approximately 70

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

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

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

  15. 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.

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

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

    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 can I find more information?

  17. Federal Energy and Water Management Awards: Frequently Asked Questions |

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

    Department of Energy Energy and Water Management Awards: Frequently Asked Questions Federal Energy and Water Management Awards: Frequently Asked Questions Document answers frequently asked questions (FAQs) about nomination guidelines and criteria for the 2016 Federal Energy and Water Management Awards. PDF icon Download the 2016 Federal Energy and Water Management Awards FAQs. More Documents & Publications Federal Energy and Water Management Awards: Nomination Quick Reference Criteria

  18. Frequently Asked Questions About the Technology Demonstration GATEWAY

    Energy Savers [EERE]

    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)

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

    Energy Savers [EERE]

    | Department of Energy Assistance Program (WAP) Closeout Frequently Asked Questions Weatherization Assistance Program (WAP) Closeout Frequently Asked Questions This document provides a list of frequently asked questions in regards to the Weatherization Assistance Program (WAP) Closeout procedures. PDF icon wap_closeout_faqs.pdf More Documents & Publications WPN 12-3: Closeout Procedures for Recovery Act Grants Under the Weatherization Assistance Program CLOSEOUT PROCEDURES FOR RECOVERY

  20. 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

  1. 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

  2. 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

  3. 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 PDF icon SunShot Prize FAQs July 2015.pdf More Documents & Publications SunShot Prize Competition Rules SunShot Prize Race to 7-Day Solar SunShot Catalyst Prize Rules

  4. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Regionals » Middle School Rules, Forms, and Resources » Sample Questions National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Strategies For Success Sample Questions Academic Question Resources Attending the National Finals Volunteers 2016 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal

  5. 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.

  6. 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.

  7. Critical Question #6: What are the Challenges and Solutions for...

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

    Critical Question 6: What are the Challenges and Solutions for Modeling Multifamily Buildings? There are a lot of differences between modeling single-family and multifamily ...

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

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

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

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

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

    Advisory Committee on actions to be taken by the Department of Energy regarding policy questions and impacts to the electric grid from the energy demands of electric vehicles. ...

  10. Submit Your Home Energy Efficiency Questions Now for Earth Day...

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

    Rebecca Matulka Rebecca Matulka Former Digital Communications Specialist, Office of Public Affairs How can I participate? Submit a video question in advance. All you need to do is ...

  11. 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 ...

  12. 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 ...

  13. 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. ; ...

  14. 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...

  15. 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 ...

  16. 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...

  17. 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...

  18. Frequently Asked Questions about the CALiPER Program

    Broader source: Energy.gov [DOE]

    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...

  19. 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.

  20. 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 &...

  1. 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 ...

  2. 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: Reporting of Jobs ... Projects reporting jobs are part of the Smart Grid Investment Grant Project under the ...

  3. 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.

  4. 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.

  5. 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.

  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. The Value of Improved Short-Term Wind Power Forecasting

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

    The Value of Improved Short- Term Wind Power Forecasting B.-M. Hodge and A. Florita National Renewable Energy Laboratory J. Sharp Sharply Focused, LLC M. Margulis and D. Mcreavy Lockheed Martin Technical Report NREL/TP-5D00-63175 February 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL)

  8. Tuesday Talk: Secretary Chu Answers Your Questions LIVE | Department of

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

    Energy Tuesday Talk: Secretary Chu Answers Your Questions LIVE Tuesday Talk: Secretary Chu Answers Your Questions LIVE November 30, 2010 - 12:02pm Addthis John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Later today Secretary Chu will be answering your questions as a part of the White House's Tuesday Talk series. The discussion will be broadcast live starting at 1:15 EST and will build off of the Secretary's speech at the National Press Club yesterday, which

  9. Mentor Protege Frequently Asked Questions | Department of Energy

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

    Programs » Mentor-Protégé Program » Mentor Protege Frequently Asked Questions Mentor Protege Frequently Asked Questions Frequently Asked Questions Q. Where are DOE rules and regulations for the Mentor-Protégé Program? A. DOE rules are in accordance with 48 Code of Federal Regulations Parts 919, Subpart 919.70. Q. Is there any limit to the dollar value that can be subcontracted on a sole-source basis from the Mentor to the Protégé on either an individual contract, an annual basis, or

  10. 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

  11. 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 ...

  12. 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 ...

  13. Critical Question #7: What are the Best Practices for Single...

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

    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 Regions? ...

  14. 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.

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

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

    ... information to be provided on the first page of the proposal. ... Reference I. 59, FAR 52.229-3 Federal, State, and Local Taxes (FEB 2013) Question: Please provide Section K in ...

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

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

    Ask Your Energy Innovation Hub Questions April Saylor April Saylor Former Digital Outreach ... We'll be live-tweeting the Q&A from @ENERGY, and will have video of the discussion ...

  17. 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.

  18. Five Questions for an Expert: Paul Scheihing on Industrial Energy

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

    Management | Department of Energy Five Questions for an Expert: Paul Scheihing on Industrial Energy Management Five Questions for an Expert: Paul Scheihing on Industrial Energy Management April 9, 2015 - 3:54pm Addthis Amy Manheim Communication and Outreach Lead, Advanced Manufacturing Office What are the key facts? A good energy management system encourages a company to use data and information from its operations to improve its energy performance. To become SEP certified, facilities must

  19. 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.

  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. PDF icon 20150210_SPVU Ex Parte Memo_021015 More Documents & Publications Air-Conditioning, Heating, and Refrigeration Institute Ex Parte Memo 2014-12-12 Issuance: Energy Conservation Standard for SPVUs; Notice of

  1. 5 Questions for a Scientist: Materials Engineer David Forrest | Department

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

    of Energy 5 Questions for a Scientist: Materials Engineer David Forrest 5 Questions for a Scientist: Materials Engineer David Forrest July 24, 2014 - 9:38am Addthis Flash Ironmaking is a project to develop a fully operational iron making system that captures exhaust gases, eliminates ash, cuts energy, reduces greenhouse gas emissions. This project is managed by AMO Technology Manager Dr. David Forrest who was recently selected as a fellow by ASM International. | Graphic image courtesy

  2. ATLAS Enhanced Capabilities and Questions | Department of Energy

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

    ATLAS Enhanced Capabilities and Questions ATLAS Enhanced Capabilities and Questions Enhanced Capabilities ATLAS provides an enterprise wide solution for managing DOE's transportation activities. ATLAS combined and enhanced the existing tools in a reliable, efficient, user friendly and secure cloud platform. ATLAS tools and electronic forms were designed by expert users to promote compliance in an intuitive (logical and easy to use) format and to provide easy access for qualified users.

  3. Answering Your Questions about Grid Modernization | Department of Energy

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

    Answering Your Questions about Grid Modernization Answering Your Questions about Grid Modernization June 18, 2013 - 10:47am Addthis Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability Smart Grid Recap Find other articles in the Smart Grid Week series by visiting our Smart Grid page. During last week's Smart Grid Week, we highlighted some of the efforts currently underway to modernize the nation's electric grid. Below are answers to

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

  6. 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

  7. Forty Most Asked Questions Concerning CEQ's National Environmental Policy

    Energy Savers [EERE]

    Act Regulations (CEQ, 1986) | Department of Energy Forty Most Asked Questions Concerning CEQ's National Environmental Policy Act Regulations (CEQ, 1986) Forty Most Asked Questions Concerning CEQ's National Environmental Policy Act Regulations (CEQ, 1986) The Council on Environmental Quality, as part of its oversight of implementation of the National Environmental Policy Act, held meetings in the ten Federal regions with Federal, State, and local officials to discuss administration of the

  8. 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

  9. Sample Questions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Regionals » High School Rules, Forms, and Resources » Sample Questions National Science Bowl® (NSB) NSB Home About High School High School Students High School Coaches High School Regionals High School Rules, Forms, and Resources Strategies For Success Sample Questions Middle School Attending the National Finals Volunteers 2016 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW

  10. 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

  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 -- the Northern Study Area

    SciTech Connect (OSTI)

    Finley, Cathy

    2014-04-30

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times.

  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 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.

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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

  20. 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/.

  1. LED Color Stability: 10 Important Questions | Department of Energy

    Energy Savers [EERE]

    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

  2. Users Frequently Asked Questions | National Nuclear Security Administration

    National Nuclear Security Administration (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 presented. Q.

  3. FOIA Frequently Asked Questions (FAQs) | Department of Energy

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

    Frequently Asked Questions (FAQs) FOIA Frequently Asked Questions (FAQs) How can I get records from the DOE? Do I need to file a written FOIA request to receive general information about the DOE? Where can I find examples of previous FOIA requests for DOE documents? What kind of records may I request from the DOE under the FOIA? How long will it take the DOE to respond to my FOIA request? How can I get expedited processing? What kinds of records may the DOE withhold from me? How will I know what

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

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

    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 available to defray the cost of a small wind electric

  5. 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 Hanford Story: Tank Waste Cleanup - Questions 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

  6. 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

  7. Livermore engineer to answer questions on Reddit | National Nuclear

    National Nuclear Security Administration (NNSA)

    Security Administration engineer to answer questions on Reddit Thursday, October 23, 2014 - 12:19pm NNSA Blog Ever wonder what it's like to tap into the human brain? Or did you ponder about the best ways to understand neurological diseases and functions such as memory? Did you know tiny neural devices can potentially help patients see, hear and move? Vanessa Tolosa, an engineer at LLNL's Center for Bioengineering, will be answering those questions and more on the popular social media site

  8. 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.

  9. 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.

  10. "Where is Everybody?" An Account of Fermi's Question

    DOE R&D Accomplishments [OSTI]

    Jones, E. M.

    1985-03-01

    Enrico Fermi's famous question, now central to debates about the prevalence of extraterrestrial civilizations, arose during a luncheon conversation with Emil Konopinski, Edward Teller, and Herbert York in the summer of 1950. Fermi's companions on that day have provided accounts of the incident.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

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

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

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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Working with Argonne: 5 Questions with Suresh Sunderrajan | Argonne

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

    National Laboratory Working with Argonne: 5 Questions with Suresh Sunderrajan By Alex Mitchell * March 7, 2016 Tweet EmailPrint Suresh Sunderrajan joined Argonne as the director of the lab's Technology Development and Commercialization division in April 2015, bringing with him a wealth of experience in all aspects of technology commercialization and business growth at large corporations and start-ups. He took a few minutes out of his schedule to sit down with us and talk business

  2. 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.

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

    Energy Savers [EERE]

    WEATHERIZATION ASSISTANCE PROGRAM CLOSEOUT FREQUENTLY ASKED QUESTIONS INVENTORY CONTROL 1. Q: How should local agencies deal with bulk purchasing of weatherization materials? A: Local agencies should plan any purchase of materials based on projected needs for completing Recovery Act production. Grantees should monitor local agencies to make sure they have adequate inventory systems to manage and account for materials purchased for the WAP. 2. Q: When Recovery Act ends there will most certainly

  4. 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

  5. 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.

  6. 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

  7. 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

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

    Energy Savers [EERE]

    Applicability of Buy American Provision of Section 1605 of the Recovery Act to Projects Under the Smart Grid Investment Grant Program | Department of Energy 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 Act to Projects Under the Smart Grid Investment Grant Program

  9. Foreign National Tax Frequently Asked Questions 11/5/2013

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

    5/2013 Foreign National Tax Frequently Asked Questions (FAQs) What is the difference between a resident alien and a nonresident alien for tax purposes? The Internal Revenue Service (IRS) classifies all foreign nationals as either resident aliens or nonresident aliens. Resident aliens are, for the most part, taxed in the same manner as U.S. citizens. The Internal Revenue Code (IRC), however, imposes an entirely different tax system on nonresident aliens. There are many differences between the two

  10. 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.

  11. 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.

  12. Questions, Comments, and Answers for Draft Request for Proposal Documents |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration Solicitation / Sandia National Laboratories Contract Competition 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 Sandia National Laboratories Contract Process Announced NNSA projects win Secretary's Achievement Awards for cost savings and efficiency Virtual Tours Draft Request for

  13. 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

  14. Stump the Scientist Question Form | GE Global Research

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

    Please Help Us Stump the Scientist Ask Your Question *Required fields Name* Email* School/Company* Twitter Handle Country* Select Afghanistan Albania Algeria American Samoa Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad

  15. 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

  16. 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

  17. 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.

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

    Broader source: Energy.gov [DOE]

    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...

  19. Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain

    Broader source: Energy.gov [DOE]

    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...

  20. 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.

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

    Broader source: Energy.gov [DOE]

    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...

  2. U.S. diesel fuel price forecast to be 1 penny lower this summer...

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

    That's down 12 percent from last summer's record exports. Biodiesel production, which averaged 68,000 barrels a day last summer, is forecast to jump to 82,000 barrels a day this ...

  3. A comparison of model short-range forecasts and the ARM Microbase...

    Office of Scientific and Technical Information (OSTI)

    the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP) and compare these observations to model forecast data. ...

  4. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  5. 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.

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

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

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

  7. 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.

  8. 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.

  9. 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....

  10. Solar Photovoltaic SPECIFICATION, CHECKLIST...

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

    Ready Home SOLAR PHOTOVOLTAIC SPECIFICATION, CHECKLIST AND GUIDE i Table of Contents About the Renewable Energy Ready Home Specifications Assumptions of the RERH Solar ...

  11. U.S. Department of Energy Workshop Report: Solar Resources and Forecasting

    SciTech Connect (OSTI)

    Stoffel, T.

    2012-06-01

    This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

  12. A Comparison of Water Vapor Quantities from Model Short-Range Forecasts and

    Office of Scientific and Technical Information (OSTI)

    ARM Observations (Technical Report) | SciTech Connect Water Vapor Quantities from Model Short-Range Forecasts and ARM Observations Citation Details In-Document Search Title: A Comparison of Water Vapor Quantities from Model Short-Range Forecasts and ARM Observations (in English; Croatian) Model evolution and improvement is complicated by the lack of high quality observational data. To address a major limitation of these measurements the Atmospheric Radiation Measurement (ARM) program was

  13. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE (Presentation)

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B.M.

    2014-11-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This presentation is an overview of a study that examines the value of improved solar forecasts on Bulk Power System Operations.

  14. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE: Preprint

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B. M.

    2014-09-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This study examines the value of improved solar power forecasting for the Independent System Operator-New England system. The results show how 25% solar power penetration reduces net electricity generation costs by 22.9%.

  15. Forecasting Wind and Solar Generation: Improving System Operations, Greening the Grid

    SciTech Connect (OSTI)

    Tian; Tian; Chernyakhovskiy, Ilya

    2016-01-01

    This document discusses improving system operations with forecasting and solar generation. By integrating variable renewable energy (VRE) forecasts into system operations, power system operators can anticipate up- and down-ramps in VRE generation in order to cost-effectively balance load and generation in intra-day and day-ahead scheduling. This leads to reduced fuel costs, improved system reliability, and maximum use of renewable resources.

  16. Solar energy conversion: Technological forecasting. (Latest citations from the Aerospace database). Published Search

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    The bibliography contains citations concerning current forecasting of Earth surface-bound solar energy conversion technology. Topics consider research, development and utilization of this technology in relation to electric power generation, heat pumps, bioconversion, process heat and the production of renewable gaseous, liquid, and solid fuels for industrial, commercial, and domestic applications. Some citations concern forecasts which compare solar technology with other energy technologies. (Contains 250 citations and includes a subject term index and title list.)

  17. Solar energy conversion: Technological forecasting. (Latest citations from the Aerospace database). Published Search

    SciTech Connect (OSTI)

    1995-01-01

    The bibliography contains citations concerning current forecasting of Earth surface-bound solar energy conversion technology. Topics consider research, development and utilization of this technology in relation to electric power generation, heat pumps, bioconversion, process heat and the production of renewable gaseous, liquid, and solid fuels for industrial, commercial, and domestic applications. Some citations concern forecasts which compare solar technology with other energy technologies. (Contains 250 citations and includes a subject term index and title list.)

  18. Investigating the Correlation Between Wind and Solar Power Forecast Errors in the Western Interconnection: Preprint

    SciTech Connect (OSTI)

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

    2013-05-01

    Wind and solar power generations differ from conventional energy generation because of the variable and uncertain nature of their power output. This variability and uncertainty can have significant impacts on grid operations. Thus, short-term forecasting of wind and solar generation is uniquely helpful for power system operations to balance supply and demand in an electricity system. This paper investigates the correlation between wind and solar power forecasting errors.

  19. DOE Research and Development Accomplishments Frequently Asked Questions

    Office of Scientific and Technical Information (OSTI)

    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?

  20. 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

  1. 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,

  2. 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

  3. 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

  4. 10 Questions with Special Effects Designer Doug Roble | Department of

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

    Energy 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 our

  5. 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.

  6. Questions for UCNI Reviewing Officials | Department of Energy

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

    for UCNI Reviewing Officials Questions for UCNI Reviewing Officials What guidance can a Reviewing Official use, and how does a Reviewing Official get copies of guidance? A Reviewing Official can use the UCNI guidance that falls within the subject areas of their authority. A list of UCNI guidance can be found in the Index of DOE Classification Guidance (Sections B and C). The Index also contains information on how to get copies of guidance. At Headquarters, you can get a copy of the appropriate

  7. 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

  8. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP) -- Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute - 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 - 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems’ ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 - 3 hours.

  9. The Value of Improved Wind Power Forecasting in the Western Interconnection (Poster), NREL (National Renewable Energy Laboratory)

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

    outcome 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 interest are: 1. Correlated behavior among variables (e.g., changes in dispatch stacks, production costs, or generation by type as a function of forecasting accuracy); 2. The relative reduction in wind curtailment with improved forecasting accuracy; and 3. The value of information (e.g., which subset of

  10. End Points Specification Methods

    Broader source: Energy.gov [DOE]

    Two methods to develop end point specifications are presented. These have evolved from use in the field for deactivation projects.

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

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

    ... than those represented here, but the four listed here symbolize the opportunity to ... But most benefit from some training in wind-specific skills. And each one is in some way ...

  12. 02 10 15 NEI Questions DOE Workshop final | Department of Energy

    Energy Savers [EERE]

    02 10 15 NEI Questions DOE Workshop final 02 10 15 NEI Questions DOE Workshop final PDF icon 02 10 15 NEI Questions DOE Workshop Final More Documents & Publications CIGNL Questions - DOE CSC Workshop 2-10-15 NOPR NEI NOPR Fluor

  13. 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...

  14. 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.

  15. Questions and Answers on the Secretarial Policy Statement on NEPA (DOE,

    Energy Savers [EERE]

    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. PDF icon QUESTIONS AND ANSWERS on the SECRETARIAL POLICY STATEMENT on the NATIONAL ENVIRONMENTAL POLICY ACT More Documents & Publications "Frequently Asked Questions" on the Department of Energy's NEPA Regulations (DOE, 1998)

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

    SciTech Connect (OSTI)

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

    1994-05-01

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

  17. Low Specific Activity (LSA)

    Broader source: Energy.gov [DOE]

    This scenario provides the planning instructions, guidance, and evaluation forms necessary to conduct an exercise involving a highway shipment of Low Specific Activity (LSA) material.  This...

  18. Guides and Specifications

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

    buildings are common and cost-effective. ... to design a highly-efficient hospital * Specifications are used to make rigorous product ... research, development, and ...

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

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

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

  20. A Comparison of Model Short-Range Forecasts and the ARM Microbase Data

    Office of Scientific and Technical Information (OSTI)

    Fourth Quarter ARM Science Metric (Technical Report) | SciTech Connect Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric Citation Details In-Document Search Title: A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the "Microbase" value added product (referred to as OBS, within

  1. EERE Success Story-Solar Forecasting Gets a Boost from Watson, Accuracy

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

    Improved by 30% | Department of Energy Forecasting Gets a Boost from Watson, Accuracy Improved by 30% EERE Success Story-Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM Youtube Video | Courtesy of IBM Remember when IBM's super computer Watson defeated Jeopardy! champions Ken Jennings and Brad Rutter? With funding from the U.S. Department of Energy SunShot Initiative, IBM researchers are using Watson-like technology to improve solar

  2. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark A.; Wiser, Ryan H.

    2010-01-04

    On December 14, 2009, the reference-case projections from Annual Energy Outlook 2010 were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in itigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings.

  3. The NEPA threshold question revisited: Proposed'' actions and continuing'' activities

    SciTech Connect (OSTI)

    Wolff, T.A. ); Hansen, R.P. )

    1993-01-01

    The National Environmental Policy Act (NEPA) requires Federal agencies to include a detailed statement'' in every recommendation or report on proposals'' for major Federal actions significantly affecting the quality of the human environment.'' Unless the three elements of a proposal are present (major, federal, and action), preparation of a detailed statement is not required. This paper addresses the practical decision-making dilemma that attends determinations of what types of Federal activities meet the NEPA threshold test under what kinds of varying circumstances. The authors' experience with the US Dept. of Energy (DOE) NEPA documentation is used to discuss how decisions may be made to determine whether a proposed action qualifies for a categorical exclusion'' or whether it requires preparation of an environmental assessment (EA) or an environmental impact statement (EIS). The concept of new'' actions versus continuing'' actions which may be bounded'' by previous NEPA documentation is also discussed. A dichotomous key for separating or combining Federal action'' candidates for different levels of NEPA documentation is provided. Leading court opinions on the threshold question and related issues are discussed in lay terms.

  4. WEATHERIZATION OF RENTAL UNITS FREQUENTLY ASKED QUESTIONS Administration

    Energy Savers [EERE]

    WEATHERIZATION ANNUAL FILE WORKSHEET WEATHERIZATION ANNUAL FILE WORKSHEET Form is designed to gather specific detail related to the expenditures of the Weatherization grant. PDF icon WEATHERIZATION ANNUAL FILE WORKSHEET More Documents & Publications DOE F 540.3 WPN 06-3: Revised Weatherization Assistance Program Application Instructions and Forms WPN 04-4: Revised Weatherization Assistance Program Application Package and Reporting Format

    WEATHERIZATION OF RENTAL UNITS FREQUENTLY ASKED

  5. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2003 THRU FY2046 VERSION 2003.1 VOLUME 2 [SEC 1 & 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2003-12-01

    This report includes data requested on September 10, 2002 and includes radioactive solid waste forecasting updates through December 31, 2002. The FY2003.0 request is the primary forecast for fiscal year FY 2003.

  6. 5 Questions for Scientist Dr. Lidija Sekaric of the Energy Department...

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

    5 Questions for Scientist Dr. Lidija Sekaric of the Energy Department's SunShot Initiative 5 Questions for Scientist Dr. Lidija Sekaric of the Energy Department's SunShot ...

  7. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach

    SciTech Connect (OSTI)

    Brown, C. W.; Hood, Raleigh R.; Long, Wen; Jacobs, John M.; Ramers, D. L.; Wazniak, C.; Wiggert, J. D.; Wood, R.; Xu, J.

    2013-09-01

    The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the concentrations of chlorophyll, nitrate, and dissolved oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. While the physical and biogeochemical variables are forecast mechanistically using the Regional Ocean Modeling System configured for the Chesapeake Bay, the species predictions are generated using a novel mechanistic empirical approach, whereby real-time output from the coupled physical biogeochemical model drives multivariate empirical habitat models of the target species. The predictions, in the form of digital images, are available via the World Wide Web to interested groups to guide recreational, management, and research activities. Though full validation of the integrated forecasts for all species is still a work in progress, we argue that the mechanisticempirical approach can be used to generate a wide variety of short-term ecological forecasts, and that it can be applied in any marine system where sufficient data exist to develop empirical habitat models. This paper provides an overview of this system, its predictions, and the approach taken.

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

    SciTech Connect (OSTI)

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

    2012-09-01

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

  9. Industrial end-use forecasting that incorporates DSM and air quality

    SciTech Connect (OSTI)

    Tutt, T.; Flory, J.

    1995-05-01

    The California Energy Commission (CEC) and major enregy utilities in California have generally depended on simple aggregate intensity or economic models to forecast energy use in the process industry sector (which covers large industries employing basic processes to transform raw materials, such as paper mills, glass plants, and cement plants). Two recent trends suggests that the time has come to develop a more disaggregate process industry forecasting model. First, recent efforts to improve air quality, especially by the South Coast Air Quality Management District (SCAQMD), could significantly affect energy use by the process industry by altering the technologies and processes employed in order to reduce emissions. Second, there is a renewed interest in Demand-Side Management (DSM), not only for utility least-cost planning, but also for improving the economic competitiveness and environmental compliance of the pro{minus}cess industries. A disaggregate forecasting model is critical to help the CEC and utilities evaluate both the air quality and DSM impacts on energy use. A crucial obstacle to the development and use of these detailed process industry forecasting models is the lack of good data about disaggregate energy use in the sector. The CEC is nearing completion of a project to begin to overcome this lack of data. The project is testing methds of developing detailed energy use data, collecting an initial database for a large portion of southern California, and providing recommendations and direction for further data collection efforts.

  10. Harmonization of Biodiesel Specifications

    SciTech Connect (OSTI)

    Alleman, T. L.

    2008-02-01

    Worldwide biodiesel production has grown dramatically over the last several years. Biodiesel standards vary across countries and regions, and there is a call for harmonization. For harmonization to become a reality, standards have to be adapted to cover all feedstocks. Additionally, all feedstocks cannot meet all specifications, so harmonization will require standards to either tighten or relax. For harmonization to succeed, the biodiesel market must be expanded with the alignment of test methods and specification limits, not contracted.

  11. Specific Group Hardware

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

    Specific Group Hardware Specific Group Hardware ALICE palicevo1 The Virtual Organization (VO) server. Serves as gatekeeper for ALICE jobs. It's duties include getting assignments from ALICE file catalog (at CERN), submitting jobs to pdsfgrid (via condor) which submits jobs to the compute nodes, monitoring the cluster work load, and uploading job information to ALICE file catalog. It is monitored with MonALISA (the monitoring page is here). It's made up of 2 Intel Xeon E5520 processors each with

  12. Frequently Asked Questions | U.S. DOE Office of Science (SC)

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

    Frequently Asked Questions DOE Office of Science Graduate Student Research (SCGSR) Program SCGSR Home Eligibility Benefits Participant Obligations How to Apply Information for Laboratory Scientists and Thesis Advisors Key Dates Frequently Asked Questions Contact WDTS Home Frequently Asked Questions Print Text Size: A A A FeedbackShare Page Table of Contents General Questions For Graduate Student Applicants Eligibility Application Selection Participation For Collaborating DOE Laboratory

  13. A study of advanced training technology: Emerging answers to tough questions

    SciTech Connect (OSTI)

    1995-03-01

    This study reports the result of an extensive nationwide review of military, private sector, and other federal agencies and organizations that are implementing a wide variety of advanced training technologies. This report classifies the general categories of advanced training technologies found and provides an overview of each, including specific types and examples. In addition, the research findings present an organizational model for training development linking overall organizational maturity to readiness to implement specific kinds of advanced training technologies. It also presents proposed methods for selecting media, describes the organizations and the data gathered, and provides a summary of implementation success at each organization. This study is organized as a set of five topics. Each topic raises a number of important questions and provides complete or emerging answers. For organizations who have made advanced training selections, this study is a resource to benchmark their success with other organizations who have made similar selections. For new or developing training organizations, this study will help plan their future technology selections by comparing their level of organizational maturity to the documented experiences of similar organizations.

  14. #AskEnergySaver: Answering Your Fuel Efficiency Questions | Department of

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

    Energy Answering Your Fuel Efficiency Questions #AskEnergySaver: Answering Your Fuel Efficiency Questions May 11, 2015 - 2:52pm Q&A Have questions about vehicle efficiency? Submit them here and our expert will answer them next week! Ask Us Now Addthis Now's your chance to ask Energy Department experts your questions about saving energy. This month, we're answering your questions about vehicle fuel efficiency. | Photo courtesy of ©iStockphoto.com/eyecrave Now's your chance to ask

  15. You Asked, We're Answering Your Fuel Cell Questions | Department of Energy

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

    You Asked, We're Answering Your Fuel Cell Questions You Asked, We're Answering Your Fuel Cell Questions January 28, 2014 - 12:00am Addthis The Energy Department posted a blog with answers to some of the fuel cell questions that didn't get covered during the Energy 101 Google+ Hangout on January 16. Read You Asked, We're Answering Your Fuel Cell Questions to see Fuel Cell Technologies Office Director Sunita Satyapal's responses to some of the unanswered questions. Addthis Related Articles Live

  16. AGA/APGA Questions re Pre-publication Furnace NOPR | Department of Energy

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

    Pre-publication Furnace NOPR AGA/APGA Questions re Pre-publication Furnace NOPR PDF icon AGA/APGA Questions re Pre-publication Furnace NOPR_Email PDF icon Questions for DOE Furnace NOPR - 030615-c (2) PDF icon DOE Reponse to AGA/APGA Questions re Pre-publication Furnace NOPR_Email.pdf PDF icon Follow-Up Email from APGA More Documents & Publications AGA/APGA Questions re Furnace NOPR, EERE-2014-BT-STD-0031 Furnaces Data RE: EERE-2014-BT-STD-0031

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

    SciTech Connect (OSTI)

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

    2007-12-01

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

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

    Reports and Publications (EIA)

    1998-01-01

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

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

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

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

  20. A Processor to get UV-A and UV-B Radiation Products from the ECMWF Forecast

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

    System A Processor to get UV-A and UV-B Radiation Products from the ECMWF Forecast System Morcrette, Jean-Jacques European Centre for Medium-Range Weather Forecasts Category: Radiation A new processor for evaluating the UV-B and UV-A radiation at the surface, based on modifications to the current shortwave radiation scheme of the ECMWF forecast system is described. Sensitivity studies of the UV surface irradiance and Erythemal Dose Rate to spectral resolution, representation and atmospheric