Sample records for decision supplement analyses

  1. EIS-0220: Supplemental record of decision and supplement analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4::Recorddetermination |

  2. FY01 Supplemental Science and Performance Analysis: Volume 1,Scientific Bases and Analyses

    SciTech Connect (OSTI)

    Bodvarsson, G.S.; Dobson, David

    2001-05-30T23:59:59.000Z

    The U.S. Department of Energy (DOE) is considering the possible recommendation of a site at Yucca Mountain, Nevada, for development as a geologic repository for the disposal of high-level radioactive waste and spent nuclear fuel. To facilitate public review and comment, in May 2001 the DOE released the Yucca Mountain Science and Engineering Report (S&ER) (DOE 2001 [DIRS 153849]), which presents technical information supporting the consideration of the possible site recommendation. The report summarizes the results of more than 20 years of scientific and engineering studies. A decision to recommend the site has not been made: the DOE has provided the S&ER and its supporting documents as an aid to the public in formulating comments on the possible recommendation. When the S&ER (DOE 2001 [DIRS 153849]) was released, the DOE acknowledged that technical and scientific analyses of the site were ongoing. Therefore, the DOE noted in the Federal Register Notice accompanying the report (66 FR 23013 [DIRS 155009], p. 2) that additional technical information would be released before the dates, locations, and times for public hearings on the possible recommendation were announced. This information includes: (1) the results of additional technical studies of a potential repository at Yucca Mountain, contained in this FY01 Supplemental Science and Performance Analyses: Vol. 1, Scientific Bases and Analyses; and FY01 Supplemental Science and Performance Analyses: Vol. 2, Performance Analyses (McNeish 2001 [DIRS 155023]) (collectively referred to as the SSPA) and (2) a preliminary evaluation of the Yucca Mountain site's preclosure and postclosure performance against the DOE's proposed site suitability guidelines (10 CFR Part 963 [64 FR 67054 [DIRS 124754

  3. EIS-0197: Supplement to Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE Solar5:RecordtheRecord of Decision

  4. EIS-0217: Supplemental Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision EIS-0203:

  5. EIS-0217: Supplemental Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision EIS-0203:Management

  6. EIS-0220: Supplemental Record of Decision (November 1997) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4::Record of

  7. EIS-0220: Supplemental Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4::Record ofMaterials

  8. EIS-0220: Supplemental Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4::Record ofMaterialsof

  9. EIS-0220: Supplemental Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4::Record

  10. What Can Meta-Analyses Tell Us About the Reliability of Life Cycle Assessment for Decision Support?

    SciTech Connect (OSTI)

    Brandao, M.; Heath, G.; Cooper, J.

    2012-04-01T23:59:59.000Z

    The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need formore conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support. An emerging trend is meta-analysis of a set of results from LCAs, which has the potential to clarify the impacts of a particular technology, process, product, or material and produce more robust and policy-relevant results. Meta-analysis in this context is defined here as an analysis of a set of published LCA results to estimate a single or multiple impacts for a single technology or a technology category, either in a statistical sense (e.g., following the practice in the biomedical sciences) or by quantitative adjustment of the underlying studies to make them more methodologically consistent. One example of the latter approach was published in Science by Farrell and colleagues (2006) clarifying the net energy and greenhouse gas (GHG) emissions of ethanol, in which adjustments included the addition of coproduct credit, the addition and subtraction of processes within the system boundary, and a reconciliation of differences in the definition of net energy metrics. Such adjustments therefore provide an even playing field on which all studies can be considered and at the same time specify the conditions of the playing field itself. Understanding the conditions under which a meta-analysis was conducted is important for proper interpretation of both the magnitude and variability in results. This special supplemental issue of the Journal of Industrial Ecology includes 12 high-quality metaanalyses and critical reviews of LCAs that advance understanding of the life cycle environmental impacts of different technologies, processes, products, and materials. Also published are three contributions on methodology and related discussions of the role of meta-analysis in LCA. The goal of this special supplemental issue is to contribute to the state of the science in LCA beyond the core practice of producing independent studies on specific products or technologies by highlighting the ability of meta-analysis of LCAs to advance understanding in areas of extensive existing literature. The inspiration for the issue came from a series of meta-analyses of life cycle GHG emissions from electricity generation technologies based on research from the LCA Harmonization Project of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy, which also provided financial support for this special supplemental issue. (See the editorial from this special supplemental issue [Lifset 2012], which introduces this supplemental issue and discusses the origins, funding, peer review, and other aspects.) The first article on reporting considerations for meta-analyses/critical reviews for LCA is from Heath and Mann (2012), who describe the methods used and experience gained in NREL's LCA Harmonization Project, which produced six of the studies in this special supplemental issue. Their harmonization approach adapts key features of systematic review to identify and screen published LCAs followed by a meta-analytical procedure to adjust published estimates to ones based on a consistent set of methods and assumptions to allow interstudy comparisons and conclusions to be made. In a second study on methods, Zumsteg and colleagues (2012) propose a checklist for a sta

  11. Naval Petroleum Reserve No. 1 (Elk Hills): Supplemental environmental impact statement. Record of decision

    SciTech Connect (OSTI)

    Not Available

    1994-02-01T23:59:59.000Z

    Pursuant to the Council on Environmental Quality regulations, which implement the procedural provisions of the National Environmental Policy Act, and the US Department of Energy National Environmental Policy Act regulations, the Department of Energy, Office of Fossil Energy, is issuing a Record of Decision on the continued operation of Naval Petroleum Reserve No. 1, Kern County, California. The Department of Energy has decided to continue current operations at Naval Petroleum Reserve No. 1 and implement additional well drilling, facility development projects and other activities necessary for continued production of Naval Petroleum Reserve No. 1 in accordance with the requirements of the Naval Petroleum Reserves Production Act of 1976. The final Supplemental Environmental Impact Statement, entitled ``Petroleum Production at Maximum Efficient Rate, Naval Petroleum Reserve No. 1 (Elk Hills), Kern County, California (DOE/SEIS-0158),`` was released on September 3, 1993.

  12. Decision matrix for liquid loading in gas wells for cost/benefit analyses of lifting options

    E-Print Network [OSTI]

    Park, Han-Young

    2008-10-10T23:59:59.000Z

    consists of a decision algorithm built around a decision tree. Unlike other data mining techniques, decision trees quickly allow for subdividing large initial datasets into successively smaller sets by a series of decision rules. The rules are based... Page 4.1 Introduction ........................................................................... 41 4.2 Decision Tree & Preliminary Screening [Round 1].............. 43 4.3 Technical Evaluation of Lifting Options [Round 2...

  13. Genome Analyses and Supplement Data from the International Populus Genome Consortium (IPGC)

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

    International Populus Genome Consortium (IPGC)

    The sequencing of the first tree genome, that of Populus, was a project initiated by the Office of Biological and Environmental Research in DOE’s Office of Science. The International Populus Genome Consortium (IPGC) was formed to help develop and guide post-sequence activities. The IPGC website, hosted at the Oak Ridge National Laboratory, provides draft sequence data as it is made available from DOE Joint Genome Institute, genome analyses for Populus, lists of related publications and resources, and the science plan. The data are available at http://www.ornl.gov/sci/ipgc/ssr_resource.htm.

  14. Supplement for "AMS and LC/MS analyses of SOA from the photooxidation of benzene and 1,3,5-trimethylbenzene in

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    1 Supplement for "AMS and LC/MS analyses of SOA from the photooxidation of benzene and 1@nies.go.jp) #12;2 Fig. S1: Time profiles (a) benzene concentration and HROrg and HRNO3 particulate product during the photooxidation of benzene (run 3). #12;3 Fig. S2. Yield curves for SOA formed from

  15. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis document details theIndustryDecember 3, 2001

  16. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis document details theIndustryDecember 3, 2001August

  17. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis document details theIndustryDecember 3,

  18. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,Zaleski -BlueprintThis document details theIndustryDecember 3,April 26,

  19. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrial Technologies IndustrialSolarAdvancedServices »

  20. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior Energy Performance

  1. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior Energy PerformanceOctober

  2. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior Energy

  3. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior EnergyApril 7, 2004

  4. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior EnergyApril 7, 200417,

  5. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior EnergyApril 7,

  6. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior EnergyApril 7,October 6,

  7. Supplement Analyses (SA) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartment of StaffingStorageEnergySuperior EnergyApril 7,October

  8. Decision Support:Decision Support: Decision AnalysisDecision Analysis

    E-Print Network [OSTI]

    Bohanec, Marko

    -Making under Risk · Expected Value · Sensitivity Analysis Decision Analysis Decision Analysis: Applied Decision Decision-Making Process Source: Decision Analysis ­ A Tool to Deal with Uncertainty, http Succeed Fail Decision Trees OR/MS · Multi-Criteria Optimisation · Risk Analysis and Simulation · Bayesian

  9. EIS-0220: Supplemental record of decision and supplement analysis...

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

    because of health and safety vulnerabilities, to stabilize the remaining TRR spent nuclear fuel located in the Receiving Basin for Offsite Fuels (RBOF) at the SRS, using the...

  10. Supplemental Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrial TechnologiesSupplemental Information All

  11. SUPPLEMENTAL ANALYSES FOR SOLVENT HOLD TANK SAMPLES MCU-11-314, MCU-11-315, MCU-11-316, MCU-11-317, MCU-11-318 AND MCU-11-319

    SciTech Connect (OSTI)

    Peters, T.; Washington, A; Fondeur, F.; Fink, S.

    2011-09-29T23:59:59.000Z

    Savannah River National Laboratory (SRNL) periodically analyses solvent samples from Modular Caustic-Side Solvent Extraction Unit (MCU) in support of continuing operations. A quarterly analysis of the solvent is required to maintain solvent composition within specifications. Analytical results of the analyses of Solvent Hold Tank (SHT) samples MCU-11-314, MCU-11-315, MCU-11-316, MCU-11-317, MCU-11-318 and MCU-11-319 have been previously reported. MCU has experienced a modest decline in cesium removal efficiency while processing the current feed, 'Macrobatch 3'. While the target decontamination factor (DF) is 200, the fiscal year 2011 DF average is 161. The results of the prior solvent analysis report did not identify a specific factor that would correlate with the poor cesium decontamination beyond a low concentration of the suppressor, trioctylamine. New analyses of the quarterly sample are reported in this document, as well as a cross-check of {sup 137}Cs measurements for SRNL and F/H lab. Furthermore, in an attempt to discover the reason for the decline in DF at MCU, SRNL was tasked with analyzing numerous Caustic Wash Tank (CWT) and chemical feed samples.

  12. Miscellaneous Analyses.

    E-Print Network [OSTI]

    Adriance, Duncan; Tilson, P. S.; Harrington, H. H.

    1895-01-01T23:59:59.000Z

    . The am ount o f c lay in the ? black w axy" is shown by tlie con ten t Of alum ina to be greater than that in tlie sandy loam . T lie soil from E l Paso was selected from a field in tended for the grow th of fru it trees. CLAYS. The exam... ination o f these was made for a com pany that expected to ex trac t the m etal a lum inum from clay . Complete analyses were made in on ly a few eases; since the alum ina and lim e were the two principal in ? gred ien ts wanted , other...

  13. Interactive Decision-Support Tool for Risk-Based Radiation Therapy Plan Comparison for Hodgkin Lymphoma

    SciTech Connect (OSTI)

    Brodin, N. Patrik [Department of Radiation Oncology, Albert Einstein College of Medicine of Yeshiva University, New York, New York (United States); Maraldo, Maja V., E-mail: dra.maraldo@gmail.com [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Aznar, Marianne C. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Niels Bohr Institute, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Vogelius, Ivan R. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Petersen, Peter M. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Hematology, Rigshospitalet, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Bentzen, Søren M. [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Human Oncology, University of Wisconsin Medical School, Madison, Wisconsin (United States); Specht, Lena [Department of Radiation Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Oncology, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark); Department of Hematology, Rigshospitalet, Faculty of Sciences, University of Copenhagen, Copenhagen (Denmark)

    2014-02-01T23:59:59.000Z

    Purpose: To present a novel tool that allows quantitative estimation and visualization of the risk of various relevant normal tissue endpoints to aid in treatment plan comparison and clinical decision making in radiation therapy (RT) planning for Hodgkin lymphoma (HL). Methods and Materials: A decision-support tool for risk-based, individualized treatment plan comparison is presented. The tool displays dose–response relationships, derived from published clinical data, for a number of relevant side effects and thereby provides direct visualization of the trade-off between these endpoints. The Quantitative Analyses of Normal Tissue Effects in the Clinic reports were applied, complemented with newer data where available. A “relevance score” was assigned to each data source, reflecting how relevant the input data are to current RT for HL. Results: The tool is applied to visualize the local steepness of dose–response curves to drive the reoptimization of a volumetric modulated arc therapy treatment plan for an HL patient with head-and-neck involvement. We also use this decision-support tool to visualize and quantitatively evaluate the trade-off between a 3-dimensional conformal RT plan and a volumetric modulated arc therapy plan for a patient with mediastinal HL. Conclusion: This multiple-endpoint decision-support tool provides quantitative risk estimates to supplement the clinical judgment of the radiation oncologist when comparing different RT options.

  14. EIS-0138-S: Superconducting Super Collider, Supplemental, Waxahatchie, Texas

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy developed this supplementary statement to analyze the environmental impacts of design modifications to the Superconducting Super Collider that were made following the publication of the Record of Decision that selected Ellis County, Texas, as the location of the laboratory facility. This statement supplements DOE/EIS-0138, Superconducting Super Collider.

  15. Effect of Increasing Protein Supplementation on Intake and Digestion of Bermudagrass Hays of Divergent Quality by Beef Cattle

    E-Print Network [OSTI]

    Payne, Catherine Pomeroy

    2012-07-16T23:59:59.000Z

    Bermudagrass (Cynodon dactylon (L) Pers.), one of the predominant forages in the southeastern US, varies in nutritive value in response to management and environmental factors. Beef cattle supplementation decisions are complicated...

  16. Lifecycle Analyses of Biofuels

    E-Print Network [OSTI]

    Delucchi, Mark

    2006-01-01T23:59:59.000Z

    08 Lifecycle Analyses of Biofuels Draft Report (May be citedLIFECYCLE ANALYSES OF BIOFUELS Draft manuscript (may belifecycle analysis (LCA) of biofuels for transportation has

  17. EIS-0183: Supplement to Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE Solar5:Recordthe WillowEIS-0183:Service to

  18. EIS-0183: Supplement to Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE Solar5:Recordthe WillowEIS-0183:Service

  19. Organizational and Individual Decision Making Organizational and Individual Decision Making

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Organizational and Individual Decision Making Organizational and Individual Decision Making Citation: Kathleen M. Carley & Dean Behrens, 1999, "Organizational and Individual Decision Making." Ch. 18, Inc. #12;Organizational and Individual Decision Making Organizational and Individual Decision Making

  20. Internet Supplement for Vector Calculus

    E-Print Network [OSTI]

    Jerry Marsden

    2003-10-07T23:59:59.000Z

    Apr 3, 2010 ... Page i. Internet Supplement for Vector Calculus. Fifth Edition. Version: October, 2003. Jerrold E. Marsden. California Institute of Technology.

  1. Final Conservation Billing Credit Policy Supplement Background...

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

    December 17, 2014 Page 1 Final Conservation Billing Credit Policy Supplement Background and Need: This Conservation Billing Credit Policy Supplement describes how Bonneville Power...

  2. Charm Dalitz Analyses

    E-Print Network [OSTI]

    G. Cavoto

    2007-07-09T23:59:59.000Z

    A review of recent experimental results of Dalitz analyses of charmed meson decays into three-body final states is presented. These analyses can help in understanding the strong interaction dynamics leading to the observed light mesons spectrum (low mass scalar $\\sigma$, $f_0(980)$, $a_0(980)$). A model for the decay amplitude into such states is very important for the extraction of the angle $\\gamma$ of the CKM unitarity triangle. Implications for such measurement are discussed.

  3. Robust Markov Decision Processes

    E-Print Network [OSTI]

    2012-02-09T23:59:59.000Z

    Probability and Measure. Wiley Blackwell, 1995. [8] E. Delage and S. Mannor. Percentile optimization for Markov decision processes with parameter uncertainty

  4. Winter 2007 Office of Dietary Supplements

    E-Print Network [OSTI]

    Bandettini, Peter A.

    .S. Department of Health and Human Services ODS Surveys Dietary Supplement Education in Academia ODS to Conduct Course on Dietary Inside this issue Supplement Education in Academia 1 ODS Offers Course on Supplements 1 News for Researchers 2 New ODS Staff 2 CARDS Database Expanded 2 Advances in Supplement Research 3

  5. Glycerol Supplementation in Dairy Cows and Calves

    E-Print Network [OSTI]

    Nordqvist #12;Glycerol Supplementation in Dairy Cows and Calves Abstract The production of biodiesel from

  6. QUALITY AND IMPACT Supplement 1 Evaluation of

    E-Print Network [OSTI]

    QUALITY AND IMPACT Supplement 1 KoN09 Evaluation of Quality and Impact at SLU KoN Management Team Roland von Bothmer Johan Schnürer Boel �ström Katarina Vrede Per Andersson Supplement #12;QUALITY AND IMPACT Supplement2 Evaluation of Quality and Impact at SLU (KoN 09), Supplement #12;QUALITY AND IMPACT

  7. 2.1E Supplement

    E-Print Network [OSTI]

    Winkelmann, F.C.

    2010-01-01T23:59:59.000Z

    125 (HPDefE) is the heat pump defrost energy. SYSTEMS A i runit (Btu/hr) HPDefE heat pump defrost energy (Btu) A.32HEAT PUMP ENHANCEMENTS Expanded Supplemental-heat-source and Defrost

  8. Implementing Motor Decision Plans

    E-Print Network [OSTI]

    Elliott, R. N.

    The first step to reducing energy costs and increasing reliability in motors is to establish a motor plan. A motor plan allows decisions to be made in advance of motor failure, and increases the options available. By contrast, most motor decisions...

  9. Supplement to the annual energy outlook 1995

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    This section of the Supplement to the Annual Energy Outlook 1995 present the major assumptions of the modeling system used to generate the projections in the Annual Energy Outlook 1995 (AEO95). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in Appendix B. A synopsis of the National Energy Modeling System (NEMS), the model components, and the interrelationships of the modules is presented. The NEMS is developed and maintained by the office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projection of domestic energy-economy markets in the midterm time period and perform policy analyses requested by various government agencies and the private sector.

  10. EIS-0310-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartmentRecord of Decision-SA-01:

  11. EIS-0218-SA-04: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4: Supplement Analysis

  12. ERDC TN-EMRRP-EBA-8 Hydrologic Analyses for Stream

    E-Print Network [OSTI]

    US Army Corps of Engineers

    ERDC TN-EMRRP-EBA-8 March 2011 Hydrologic Analyses for Stream Restoration Design by J. Craig quantified element in stream restoration, working across and governing multiple disciplines and system, and management decisions to be made (Federal Interagency Stream Restoration Working Group (FISRWG) 1998). Figure

  13. EIS-0236-S1: Draft Supplemental Programmatic Environmental Impact...

    Office of Environmental Management (EM)

    Draft Supplemental Programmatic Environmental Impact Statement EIS-0236-S1: Draft Supplemental Programmatic Environmental Impact Statement This Supplemental DEIS evaluates the...

  14. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01T23:59:59.000Z

    This thesis explores the impact of individual decision making on the functioning of firms and markets. The first chapter examines how deviations from strict rationality by individuals impact the market for consumer goods. ...

  15. Industrial Decision Making 

    E-Print Network [OSTI]

    Elliott, R. N.; McKinney, V.; Shipley, A.

    2008-01-01T23:59:59.000Z

    and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?...

  16. UNDERSTANDING HOME RENOVATION DECISIONS

    E-Print Network [OSTI]

    Watson, Andrew

    UNDERSTANDING HOME RENOVATION DECISIONS - A Research Project - Background to Our Research Energy to renovate their homes. We're interested in energy efficiency, but in all other efficient renova/ons can lower energy bills, improve comfort by reducing dra

  17. Forms Supplement page -1 Export Administration Regulations January 2001

    E-Print Network [OSTI]

    Bernstein, Daniel

    Forms Supplement page - 1 Export Administration Regulations January 2001 #12;Forms Supplement page - 2 Export Administration Regulations January 2001 #12;Forms Supplement page - 3 Export Administration Regulations January 2001 #12;Forms Supplement page - 4 Export Administration Regulations January 2001 #12

  18. EIS-0030-S: Final Supplemental Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Bonneville Power Administration Proposed FY 1980 Program, Facility Location Supplement, Northwest Montana/North Idaho Support and Libby Integration, Supplemental

  19. Final SPD Supplemental EIS Master Reference List | National Nuclear...

    National Nuclear Security Administration (NNSA)

    Counsel National Environmental Policy Act (NEPA) NEPA Reading Room Surplus Plutonium Disposition Supplemental Environmental Impact Statement Final SPD Supplemental EIS...

  20. California Energy Commission SUPPLEMENTAL STAFF REPORT

    E-Print Network [OSTI]

    testing and data collection, and establish reach codes for "green buildings." The Energy CommissionCalifornia Energy Commission SUPPLEMENTAL STAFF REPORT SUPPLEMENTAL INITIAL STUDY/PROPOSED NEGATIVE DECLARATION FOR THE 2013 BUILDING ENERGY EFFICIENCY STANDARDS FOR RESIDENTIAL

  1. EEG analyses with SOBI.

    SciTech Connect (OSTI)

    Glickman, Matthew R.; Tang, Akaysha (University of New Mexico, Albuquerque, NM)

    2009-02-01T23:59:59.000Z

    The motivating vision behind Sandia's MENTOR/PAL LDRD project has been that of systems which use real-time psychophysiological data to support and enhance human performance, both individually and of groups. Relevant and significant psychophysiological data being a necessary prerequisite to such systems, this LDRD has focused on identifying and refining such signals. The project has focused in particular on EEG (electroencephalogram) data as a promising candidate signal because it (potentially) provides a broad window on brain activity with relatively low cost and logistical constraints. We report here on two analyses performed on EEG data collected in this project using the SOBI (Second Order Blind Identification) algorithm to identify two independent sources of brain activity: one in the frontal lobe and one in the occipital. The first study looks at directional influences between the two components, while the second study looks at inferring gender based upon the frontal component.

  2. ESPC Project Performance: 2011 Supplemental Data

    Broader source: Energy.gov [DOE]

    Excel spreadsheet provides supplemental data to the Reported Energy and Cost Savings from the DOE ESPC Program: FY 2011 document.

  3. ESPC Project Performance: 2012 Supplemental Data

    Broader source: Energy.gov [DOE]

    Excel spreadsheet provides supplemental data to the Reported Energy and Cost Savings from the DOE ESPC Program: FY 2012 document.

  4. ESPC Project Performance: 2014 Supplemental Data

    Broader source: Energy.gov [DOE]

    Excel spreadsheet provides supplemental data to the Reported Energy and Cost Savings from the DOE ESPC Program: FY 2014 document.

  5. ESPC Project Performance: 2010 Supplemental Data

    Broader source: Energy.gov [DOE]

    Excel spreadsheet provides supplemental data to the Reported Energy and Cost Savings from the DOE ESPC Program: FY 2010 document.

  6. DOE Publishes Supplemental Proposed Determination for Miscellaneous...

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

    Proposed Determination for Miscellaneous Residential Refrigeration Products DOE Publishes Supplemental Proposed Determination for Miscellaneous Residential Refrigeration Products...

  7. Neuron, Volume 78 Supplemental Information

    E-Print Network [OSTI]

    Gentner, Timothy

    Neuron, Volume 78 Supplemental Information Associative Learning Enhances Population Coding colored dot denotes the mean response for two neurons to each of four stimuli. Each colored ellipse) For a positive relationship, neuron pairs with positive signal correlation and large noise correlation have

  8. REVUE DE PHYSIQUE APPLIQUEE Colloque C4, Supplement au n04, Tome 24, avril 1989

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    REVUE DE PHYSIQUE APPLIQUEE Colloque C4, Supplement au n04, Tome 24, avril 1989 SILICA AEROGELS permettant d' elaborer des aerogels mono1ithi- ques sont precisees. L'analyse structurale des aerogels montre du solvant employe. L'evolution de la structure des aerogels en fonction de la temperature est 6

  9. Use of a decision tree to select the mud system for the Oso field, Nigeria

    SciTech Connect (OSTI)

    Dear, S.F. III; Beasley, R.D.; Barr, K.P.

    1995-10-01T23:59:59.000Z

    Far too often, the basis for selection of a mud system is the ``latest, greatest`` technology or personal preference rather than sound cost-effective analysis. The use of risk-vs.-cost decision analysis improves mud selection and makes it a proper business decision. Several mud systems usually are available to drill and well and, with good decision analysis, the cost-effectiveness of each alternative becomes apparent. This paper describes how the drilling team used structured decision analysis to evaluate and select the best mud system for the project. First, Monte Carlo simulations forecast the range of possible results with each alternative. The simulations provide most-likely values for the variables in the decision tree, including reasonable ranges for sensitivity analyses. This paper presents and discusses the simulations, the decision tree, and the sensitivity analyses.

  10. EIS-0306: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartment ofFinalRecord of Decision

  11. EIS-0309: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartmentRecord of Decision

  12. EIS-0318: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement AnalysisRecord of Decision

  13. EIS-0323: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement AnalysisRecordRecord of Decision

  14. EIS-0332: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: SupplementFinalRecord of Decision EIS-0332:

  15. EIS-0218: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4: SupplementRecord of

  16. EIS-0218: Revised Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4: SupplementRecord

  17. EIS-0218: Revised Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4: SupplementRecord1 the

  18. EIS-0218: Revised Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record of Decision4: SupplementRecord1

  19. EIS-0274: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4: Record of Decision EIS-0274:

  20. EIS-0275: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4: Record of Decision

  1. EIS-0297: Record of Decision | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraft EnvironmentalRecord of Decision

  2. Particle Suspension Mechanisms - Supplemental Material

    SciTech Connect (OSTI)

    Dillon, M B

    2011-03-03T23:59:59.000Z

    This supplemental material provides a brief introduction to particle suspension mechanisms that cause exfoliated skin cells to become and remain airborne. The material presented here provides additional context to the primary manuscript and serves as background for designing possible future studies to assess the impact of skin cells as a source of infectious aerosols. This introduction is not intended to be comprehensive and interested readers are encouraged to consult the references cited.

  3. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01T23:59:59.000Z

    The present work looks into the question of optimizing the performance of product launch decisions-in particular, the decisions of product development duration and manufacturing ramp-up. It presents an innovative model for ...

  4. Decision Support and Risk Management

    E-Print Network [OSTI]

    and emergency management officials during the planning, incident management preparedness, and response phasesDecision Support and Risk Management CVMDM: Community Vaccination and Mass Dispensing Model What and the performance of prophylaxis supply logistics and PODs. Decision and Information Sciences Division Decision

  5. IBRD Operational Decision Framework

    SciTech Connect (OSTI)

    Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J

    2010-11-12T23:59:59.000Z

    The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.

  6. Pawnee Nation Energy Option Analyses

    SciTech Connect (OSTI)

    Matlock, M.; Kersey, K.; Riding In, C.

    2009-07-21T23:59:59.000Z

    Pawnee Nation of Oklahoma Energy Option Analyses In 2003, the Pawnee Nation leadership identified the need for the tribe to comprehensively address its energy issues. During a strategic energy planning workshop a general framework was laid out and the Pawnee Nation Energy Task Force was created to work toward further development of the tribe’s energy vision. The overarching goals of the “first steps” project were to identify the most appropriate focus for its strategic energy initiatives going forward, and to provide information necessary to take the next steps in pursuit of the “best fit” energy options. Description of Activities Performed The research team reviewed existing data pertaining to the availability of biomass (focusing on woody biomass, agricultural biomass/bio-energy crops, and methane capture), solar, wind and hydropower resources on the Pawnee-owned lands. Using these data, combined with assumptions about costs and revenue streams, the research team performed preliminary feasibility assessments for each resource category. The research team also reviewed available funding resources and made recommendations to Pawnee Nation highlighting those resources with the greatest potential for financially-viable development, both in the near-term and over a longer time horizon. Findings and Recommendations Due to a lack of financial incentives for renewable energy, particularly at the state level, combined mediocre renewable energy resources, renewable energy development opportunities are limited for Pawnee Nation. However, near-term potential exists for development of solar hot water at the gym, and an exterior wood-fired boiler system at the tribe’s main administrative building. Pawnee Nation should also explore options for developing LFGTE resources in collaboration with the City of Pawnee. Significant potential may also exist for development of bio-energy resources within the next decade. Pawnee Nation representatives should closely monitor market developments in the bio-energy industry, establish contacts with research institutions with which the tribe could potentially partner in grant-funded research initiatives. In addition, a substantial effort by the Kaw and Cherokee tribes is underway to pursue wind development at the Chilocco School Site in northern Oklahoma where Pawnee is a joint landowner. Pawnee Nation representatives should become actively involved in these development discussions and should explore the potential for joint investment in wind development at the Chilocco site. Financial incentives for project development are generally structured to provide tribes with access to conventional financing mechanisms. Grant funding for project construction is currently difficult to obtain. Substantial new opportunities for bio-fuel development may exist in the next few years with passage of the 2007 Farm Bill, and through opportunities made available through Oklahoma’s new Bio-energy Center. A review of potential alternatives to Pawnee Nation’s current electricity supply scenario revealed that a range of options could be viable. These include the following scenarios: business as usual, alternative supply, negotiate lower rates with City of Pawnee, focus on reducing energy usage, develop electric utility organization. Under any circumstances, Pawnee Nation should purse strategies to reduce energy usage, as this is the simplest means of reducing electric costs and environmental impacts. The research team also recommends that Pawnee Nation initiate some focused discussions with the City of Pawnee, with GRDA, and with IEC to discuss its wholesale supply purchase options. These discussions will better inform the Pawnee Energy Team of the specific pros and cons of its wholesale power supply options, and will assist the Team’s broader decision-making on utility-related issues. The ultimate path chosen by Pawnee Nation will depend on further consideration of priorities and potential barriers by Pawnee Nation’s Energy Team.

  7. National Nuclear Security Administration Supplemental Listing...

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

    National Nuclear Security Administration Supplemental Listing of Directives Affecting Nuclear Safety Requirements Last Updated 062014 U.S. DEPARTMENT OF ENERGY National Nuclear...

  8. National Nuclear Security Administration Supplemental Listing...

    National Nuclear Security Administration (NNSA)

    Updated 91511 National Nuclear Security Administration Supplemental Listing of Directives Affecting Nuclear Safety Requirements Last Updated 091511 U.S. DEPARTMENT OF ENERGY...

  9. EIS-0169-SA-02: Supplement Analysis

    Broader source: Energy.gov [DOE]

    Yakima Fisheries Project-Natural Spawning Channels, Increased On-site Housing, and Upgrades to the Prosser Hatchery. Cle Elum Supplementation and Research Facility, Cle Elum, Washington

  10. Lab grants Decision Sciences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,s -Labgrants Decision Sciences

  11. Krukowski and Miller Web Supplement Feb. 7, 2001 1 Web Supplement to Krukowski and Miller, Nature Neuroscience

    E-Print Network [OSTI]

    Columbia University

    Krukowski and Miller Web Supplement ­ Feb. 7, 2001 1 Web Supplement to Krukowski and Miller, Nature and Miller Web Supplement ­ Feb. 7, 2001 2 The sum is over presynaptic spike times tj, and ffast represents

  12. EIS-0236-S4: Final Supplemental Programmatic Environmental Impact...

    Energy Savers [EERE]

    EIS-0236-S4: Final Supplemental Programmatic Environmental Impact Statement EIS-0236-S4: Final Supplemental Programmatic Environmental Impact Statement Complex Transformation The...

  13. EIS-0505: EPA Notice of Availability of Supplemental Draft Environment...

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

    5: EPA Notice of Availability of Supplemental Draft Environmental Impact Statement EIS-0505: EPA Notice of Availability of Supplemental Draft Environmental Impact Statement...

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

    Energy Savers [EERE]

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

  15. EIS-0218-SA-02: Supplement Analysis | Department of Energy

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

    Supplement Analysis EIS-0218-SA-02: Supplement Analysis Foreign Research Reactor (FRR) Spent Nuclear Fuel (SNF) Acceptance Program The objective of this analysis was to...

  16. Office of Dietary Supplements Inside this issue

    E-Print Network [OSTI]

    Bandettini, Peter A.

    Office of Dietary Supplements Update Inside this issue ODS vitamin D conference Sept 5-6 1 ODS 3 In Memoriam: Stephen Straus MD 4 New ODS staff: Bientou Seck, PhD 6 NIDDK's Mark Levine awarded prize 7 Publications by ODS staff 8 Office of Dietary Supplements National Institutes of Health 6100

  17. FY01 Supplemental Science and Performance Analysis: Volume 1, Scientific Bases and Analyses

    E-Print Network [OSTI]

    Bodvarsson, G.S.; Dobson, David

    2001-01-01T23:59:59.000Z

    Geothermal System: The Cerro Prieto Field, Baja California,River Delta in the Cerro Prieto Geothermal System, BajaTauhara, New Zealand Cerro Prieto, Mexico Nesjavellir,

  18. FY01 Supplemental Science and Performance Analysis: Volume 1, Scientific Bases and Analyses

    E-Print Network [OSTI]

    Bodvarsson, G.S.; Dobson, David

    2001-01-01T23:59:59.000Z

    of Nuclear Waste Packages. AECL-11999. Pinawa, Manitoba,of a Reference System. AECL-10717. Pinawa, Manitoba, Canada:00 xlii June 2001 ACRONYMS AFC AECL AFM AML AMR ANC ANL ASTM

  19. FY01 Supplemental Science and Performance Analysis: Volume 1, Scientific Bases and Analyses

    E-Print Network [OSTI]

    Bodvarsson, G.S.; Dobson, David

    2001-01-01T23:59:59.000Z

    Work Plan for the UMTRA Project New Rifle Site. GJO-99-112-U.S. Department of Energy, UMTRA Project Office. On OrderTSP TSPA TSPA-SR TSPA-VA TTT UMTRA USGS UTM UZ VA YMP Yucca

  20. Analysing

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found The itemAIR SEPARATION BYAbrasion andArticle) |

  1. Accommodating complexity and human behaviors in decision analysis.

    SciTech Connect (OSTI)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01T23:59:59.000Z

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  2. Decision Summaries | Department of Energy

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

    Appliances & Electronics Search link to facebook link to twitter Email Signup Sign up for updates Go Search form Search Appliances & Electronics You are here Home Decision...

  3. Supplemental report on cost estimates'

    SciTech Connect (OSTI)

    NONE

    1992-04-29T23:59:59.000Z

    The Office of Management and Budget (OMB) and the U.S. Army Corps of Engineers have completed an analysis of the Department of Energy's (DOE) Fiscal Year (FY) 1993 budget request for its Environmental Restoration and Waste Management (ERWM) program. The results were presented to an interagency review group (IAG) of senior-Administration officials for their consideration in the budget process. This analysis included evaluations of the underlying legal requirements and cost estimates on which the ERWM budget request was based. The major conclusions are contained in a separate report entitled, ''Interagency Review of the Department of Energy Environmental Restoration and Waste Management Program.'' This Corps supplemental report provides greater detail on the cost analysis.

  4. EIS-0288-S1: Production of Tritium in a Commercial Light Water Reactor (CLWR) Tritium Readiness Supplemental Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    This Supplemental EIS updates the environmental analyses in DOE’s 1999 EIS for the Production of Tritium in a Commercial Light Water Reactor (CLWR EIS). The CLWR EIS addressed the production of tritium in Tennessee Valley Authority reactors in Tennessee using tritium-producing burnable absorber rods.

  5. Fuel consumption analyses for urban traffic management

    SciTech Connect (OSTI)

    Bowyer, D.P.; Akcelik, R.; Biggs, D.C.

    1986-12-01T23:59:59.000Z

    A primary output from the fuel consumption research conducted by the Australian Road Research Board (ARRB) is the ARRB Special Report, Guide to Fuel Consumption Analyses. This article briefly summarizes the background of the guide, describes its major features, and considers its relevance to urban traffic management decision. The guide was a result of a technical audit of studies relating to energy consumption in traffic and transport systems. A brief summary of the audit process and findings is given. The guide is intended primarily as an aid to effective use of fuel consumption models in the design of traffic management schemes. The forms of four interrelated fuel consumption models of the guide are described and their likely transferability to various situations is indicated. Each traffic and fuel consumption model is appropriate to a particular scale of traffic system. This link is shown for several selected traffic models. As an example, a discussion of the importance of accurate fuel consumption estimates for the case of priority control at a particular intersection is given.

  6. 2010 FCRPS2010 FCRPS Supplemental BiOpSupplemental BiOp

    E-Print Network [OSTI]

    . Additional Actions: Amendments to the AMIP 4. Conclusions 5. Supplemental Incidental Take Statement 4 is consistent with the expectations of stock recruitment, in which productivity generally declines following

  7. COMMISSION SCENARIO ANALYSES OF CALIFORNIA'S

    E-Print Network [OSTI]

    PLANT RETIREMENT AND REPLACEMENT COSTS APPENDIX C: IMPACTS ON NATURAL GAS MARKET PRICES OF LOW DEMAND FOR GAS AS A POWER GENERATION FUEL IN THE WEST APPENDIX D: FURTHER MARKET ANALYSES FOR NATURAL GAS #12: PRELIMINARY RESULTS FOR THE 2007 INTEGRATED ENERGY POLICY REPORT SECOND ADDENDUM APPENDICES Staff Draft Report

  8. URBAN LEADERSHIP DEVELOPMENT PROGRAM SUPPLEMENTAL PROGRAM APPLICATION

    E-Print Network [OSTI]

    Walker, Lawrence R.

    URBAN LEADERSHIP DEVELOPMENT PROGRAM SUPPLEMENTAL PROGRAM APPLICATION as part of your Graduate College application to the Urban Leadership Program/Supervisor: #12;Part 3: LEADERSHIP EXPERIENCES: Identify any educational leadership experiences

  9. COMMERICAL MOTOR VEHICLE OPERATOR EMPLOYMENT APPLICATION SUPPLEMENT

    E-Print Network [OSTI]

    Pilyugin, Sergei S.

    COMMERICAL MOTOR VEHICLE OPERATOR EMPLOYMENT APPLICATION SUPPLEMENT _________________________________________________________ Applicants for positions involving the operation of a commercial motor vehicle must comply with Title 49 CFR: _______________ Please list the following information for each unexpired commercial motor vehicle operator license

  10. Supplemental energy infusions in the lactating ruminant

    E-Print Network [OSTI]

    Kenison, Dale Christopher

    1983-01-01T23:59:59.000Z

    SUPPLEMENTAL ENERGY INFUSIONS IN THE LACTATING RUMINANT A Thesis by DALE CHRISTOPHER KEN I SON Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE August... 1983 Major Subject: Nutrition SUPPLEMENTAL ENERGY INFUSIONS IN THE LACTATING RUMINANT A Thesis by DALE CHRISTOPHER KEN I SON Approved as to style and content by: Gerald T. Schelling (Chairman of Committee) (Member) Hi 1 ) i am C. E 1 1 i...

  11. Supplemental energy infusions in the lactating ruminant 

    E-Print Network [OSTI]

    Kenison, Dale Christopher

    1983-01-01T23:59:59.000Z

    SUPPLEMENTAL ENERGY INFUSIONS IN THE LACTATING RUMINANT A Thesis by DALE CHRISTOPHER KEN I SON Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE August... 1983 Major Subject: Nutrition SUPPLEMENTAL ENERGY INFUSIONS IN THE LACTATING RUMINANT A Thesis by DALE CHRISTOPHER KEN I SON Approved as to style and content by: Gerald T. Schelling (Chairman of Committee) (Member) Hi 1 ) i am C. E 1 1 i...

  12. Domestic Audiences, Policy Feedback, and Sequential Decisions During Military Interventions

    E-Print Network [OSTI]

    Kuberski, Douglas Walter

    2011-02-22T23:59:59.000Z

    Committee Members, Michael Koch Guy Whitten Charles Hermann Head of Department, James Rogers December 2009 Major Subject: Political Science iii ABSTRACT Domestic Audiences, Policy Feedback, and Sequential Decisions During Military... how an individual citizen?s preference over commitment is impacted by policy feedback. The results of the experimental analyses suggest that citizens act as investors: they favor increasing commitment to military interventions when viewing negative...

  13. The Effects of Elite Decision Making

    E-Print Network [OSTI]

    Johansen, Morgen S.

    2010-07-14T23:59:59.000Z

    focuses on two groups of decision makers, candidates running for office and public managers, and the effect of their decisions on the electorate and organization, respectively. The dissertation explores the impact of candidates' decisions regarding...

  14. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01T23:59:59.000Z

    MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents ...

  15. Contributions to risk-informed decision making

    E-Print Network [OSTI]

    Elliott, Michael A. (Michael Alfred)

    2010-01-01T23:59:59.000Z

    Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under ...

  16. Participation in crisis decision making

    E-Print Network [OSTI]

    Marsico, Dale Joseph

    1973-01-01T23:59:59.000Z

    PARTICIPATION IN CRISIS DECISION MAKiNG A Thesis by DALE JOSEPH MARSICO Submitted to the Graduate Col. legs of Te-. :as A&M University in partial fulfillment of the requirement~ for the degree MASTFR OF ARTS December 1973 Na)or Sub...]ect: Political Science PARTICIPATION IN CRISIS DECISION MAI'1NG A Thesis by DARE JOSEPH YARSICO Approved as to style and content by: (Chairman of Corm'. ttee M mber) PQBIQ ()~~ December 1973 487889 ABSTRACT Participation in Crisis Decision Making. (De...

  17. Federal Buildings Supplemental Survey 1993

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    The Energy Information Administration (EIA) of the US Department of Energy (DOE) is mandated by Congress to be the agency that collects, analyzes, and disseminates impartial, comprehensive data about energy including the volume consumed, its customers, and the purposes for which it is used. The Federal Buildings Supplemental Survey (FBSS) was conducted by EIA in conjunction with DOE`s Office of Federal Energy Management Programs (OFEMP) to gain a better understanding of how Federal buildings use energy. This report presents the data from 881 completed telephone interviews with Federal buildings in three Federal regions. These buildings were systematically selected using OFEMP`s specifications; therefore, these data do not statistically represent all Federal buildings in the country. The purpose of the FBSS was threefold: (1) to understand the characteristics of Federal buildings and their energy use; (2) to provide a baseline in these three Federal regions to measure future energy use in Federal buildings as required in EPACT; and (3) to compare building characteristics and energy use with the data collected in the CBECS.

  18. Decision Analysis for EGS | Department of Energy

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

    Decision Analysis for EGS Decision Analysis for EGS Project objectives: DEVELOPMENT OF ANALYSIS TOOLS TO ASSESS: Uncertainties associated with exploration for EGS; Uncertainties...

  19. Supplemental information source document : socioeconomics.

    SciTech Connect (OSTI)

    Sedore, Lora Jeannette

    2010-08-01T23:59:59.000Z

    This document provides information on expenditures and staffing levels at Sandia National Laboratories/New Mexico (SNL/NM). This report is based on the best available information obtained from Sandia Corporation for Fiscal Years 2008 and 2009, and was prepared in support of future analyses, including those that may be performed as part of the SNL/NM Site-Wide Environmental Impact Statement.

  20. Hydraulic and Habitat Suitability Analyses Technical Memorandum

    E-Print Network [OSTI]

    Appendix D Hydraulic and Habitat Suitability Analyses Technical Memorandum #12;COPYRIGHT DECEMBER Series 2 and Pond Series 3 Hydraulic and Habitat Suitability Analyses Prepared for Bureau of Reclamation HILL, INC. III Hydraulic and Habitat Suitability Analyses

  1. GROUPE D'ANALYSE ET DE THORIE CONOMIQUE LYON -ST TIENNE WP 1332

    E-Print Network [OSTI]

    Boyer, Edmond

    WP 1332 Utilitarianism and anti-utilitarianism Antoinette Baujard; GATE Groupe d'Analyse et de Théorie Économique Lyon-St Étienne 93, chemin economists in public decision are likely to be normatively transparent. JEL Codes: A13,A33,B10,B2, D63 Key

  2. GROUPE D'ANALYSE ET DE THORIE CONOMIQUE LYON -ST TIENNE WP 1317

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    WP 1317 Literature review of the decision-making determinants related; GATE Groupe d'Analyse et de Théorie Économique Lyon-St Étienne 93, chemin TO THE INFLUENZA VACCINATION POLICY Maria Laura Silvaa,b , Lionel Perriera,c , Jean Marie Cohenb , Anne Mosnierb

  3. Three essays in decision making

    E-Print Network [OSTI]

    Weaver, Ray, Ph. D. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    This dissertation is composed of three essays about consumer judgment and decision making. In Essay 1, I develop a novel explanation for the well-known endowment effect - the tendency for owners to value goods more than ...

  4. Making Decisions with Enterprise Budgets

    E-Print Network [OSTI]

    Smith, Jackie; McCorkle, Dean; Outlaw, Joe

    2000-11-08T23:59:59.000Z

    Enterprise budgets can help farmers and ranchers make better decisions about what products to produce and how to produce them economically. This publication tells how to create and use enterprise budgets and includes an example....

  5. Risk Assessment supporting the decision on the initial selection of supplemental ILAW technologies

    SciTech Connect (OSTI)

    MANN, F. M.

    2003-09-29T23:59:59.000Z

    A risk assessment on the long-term environmental impact of various potential waste forms was conducted at the request of the Hanford Site's Mission Acceleration Initiative Team. These potential waste forms (bulk vitrification, cast stone, and steam reformer) may treat some of the low-activity waste currently planned to be treated at the Waste Treatment Plant.

  6. DOE/EIS-0197: Supplement to Record of Decision (March 1999) | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No Significant6-2002DOE/EA-1313 Rev. 0Program132-F United

  7. Leg 163X Cruise Report -Appendix A: XRF analyses Shorebased XRF analyses

    E-Print Network [OSTI]

    Thy, Peter

    Leg 163X Cruise Report - Appendix A: XRF analyses A-1 Appendix A Shorebased XRF analyses #12;Leg 163X Cruise Report - Appendix A: XRF analyses A-2 Appendix A. Shorebased XRF Analyses (Major Elements

  8. SLUDGE TREATMENT PROJECT KOP CONCEPTUAL DESIGN CONTROL DECISION REPORT

    SciTech Connect (OSTI)

    CARRO CA

    2010-03-09T23:59:59.000Z

    This control decision addresses the Knock-Out Pot (KOP) Disposition KOP Processing System (KPS) conceptual design. The KPS functions to (1) retrieve KOP material from canisters, (2) remove particles less than 600 {micro}m in size and low density materials from the KOP material, (3) load the KOP material into Multi-Canister Overpack (MCO) baskets, and (4) stage the MCO baskets for subsequent loading into MCOs. Hazard and accident analyses of the KPS conceptual design have been performed to incorporate safety into the design process. The hazard analysis is documented in PRC-STP-00098, Knock-Out Pot Disposition Project Conceptual Design Hazard Analysis. The accident analysis is documented in PRC-STP-CN-N-00167, Knock-Out Pot Disposition Sub-Project Canister Over Lift Accident Analysis. Based on the results of these analyses, and analyses performed in support of MCO transportation and MCO processing and storage activities at the Cold Vacuum Drying Facility (CVDF) and Canister Storage Building (CSB), control decision meetings were held to determine the controls required to protect onsite and offsite receptors and facility workers. At the conceptual design stage, these controls are primarily defined by their safety functions. Safety significant structures, systems, and components (SSCs) that could provide the identified safety functions have been selected for the conceptual design. It is anticipated that some safety SSCs identified herein will be reclassified based on hazard and accident analyses performed in support of preliminary and detailed design.

  9. WELDING RESEARCH ~----------------------~--~ SUPPLEMENT TO THE WELDING JOURNAL. FEBRUARY 1990

    E-Print Network [OSTI]

    Eagar, Thomas W.

    J ) WELDING RESEARCH ~----------------------~--~ SUPPLEMENT TO THE WELDING JOURNAL. FEBRUARY 1990 Sponsored by the American Welding Society and the Welding Research Council All papers published in the Welding Journal's Welding Research Supplement undergo Peer Review before publication for: I) originality

  10. Supplement 19, Part 1, Authors: A To Z 

    E-Print Network [OSTI]

    Segal, Dorothy B.; Humphrey, Judith M.; Edwards, Shirley J.; Kirby, Margie D.; Walker, Martha L.; Rayburn, Jane D.; Crawley, Lila R.; Podani, Jule M.

    1974-01-01T23:59:59.000Z

    to ? have been issued on an annual basis. Beginning with Supplement 15, the Parasite-Subject Catalogues, contain- ing indices to the author references, are being issued. The Author Catalogue continues the format of previous supplements. The users should...

  11. EIS-0220-SA-01: Supplement Analysis | Department of Energy

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

    EIS-0220-SA-01: Supplement Analysis EIS-0220-SA-01: Supplement Analysis Seismic Activity on H-Canyon Incorporating up-to-date seismic data, WSRC completed a detailed evaluation of...

  12. Uncertainty and Sensitivity Analyses Plan

    SciTech Connect (OSTI)

    Simpson, J.C.; Ramsdell, J.V. Jr.

    1993-04-01T23:59:59.000Z

    Hanford Environmental Dose Reconstruction (HEDR) Project staff are developing mathematical models to be used to estimate the radiation dose that individuals may have received as a result of emissions since 1944 from the US Department of Energy's (DOE) Hanford Site near Richland, Washington. An uncertainty and sensitivity analyses plan is essential to understand and interpret the predictions from these mathematical models. This is especially true in the case of the HEDR models where the values of many parameters are unknown. This plan gives a thorough documentation of the uncertainty and hierarchical sensitivity analysis methods recommended for use on all HEDR mathematical models. The documentation includes both technical definitions and examples. In addition, an extensive demonstration of the uncertainty and sensitivity analysis process is provided using actual results from the Hanford Environmental Dose Reconstruction Integrated Codes (HEDRIC). This demonstration shows how the approaches used in the recommended plan can be adapted for all dose predictions in the HEDR Project.

  13. Mesoscale Analyses of Fungal Networks

    E-Print Network [OSTI]

    Lee, Sang Hoon; Porter, Mason A

    2014-01-01T23:59:59.000Z

    We give a brief application of mesoscopic response functions (MRFs) to a large set of networks of fungi and slime moulds. We construct "structural networks" by estimating cord conductances (which yield edge weights) from experimental data and "functional networks" by calculating edge weights based on how much nutrient traffic is predicted to occur on each edge. Both types of networks have the same topology, and we compute MRFs for both families of networks to illustrate two different ways of constructing taxonomies to compare large sets of fungal and slime-mould networks to each other. We demonstrate that network taxonomies allow objective groupings of networks across species, treatments, and laboratories. We believe that the groupings that we have derived through our structural and functional taxonomic analyses of fungal networks could be of considerable assistance to biologists in their attempts to capture the impact of treatment combinations on network behaviour.

  14. C. -Aliments protiques ; acides amins. Proteins supplements ; amino-acids.

    E-Print Network [OSTI]

    Boyer, Edmond

    . SUMMARY ESTIMATION OF THE PROTEIN VALUE OF SULPHITE AND AI,KAN! YEASTS IN PIG FEEDING The supplementation

  15. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29T23:59:59.000Z

    Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.

  16. To complete your Bryant University application, please fill out the following supplement to the Universal CollegeApplication and submit it online or print and mail it back to: Bryant University, Office of Admission, 1150 Douglas Pike, Smithfield, RI 02917

    E-Print Network [OSTI]

    Blais, Brian

    To complete your Bryant University application, please fill out the following supplement to the Universal CollegeApplication and submit it online or print and mail it back to: Bryant University, Office to Bryant University. An Early Decision may not be requested from more than one college. An $800 non

  17. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  18. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-06T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  19. Supplement 18, Part 1, Authors: A To Z 

    E-Print Network [OSTI]

    Segal, Dorothy B.; Humphrey, Judith M.; Edwards, Shirley J.; Kirby, Margie D.

    1970-01-01T23:59:59.000Z

    . This was completed with Supplement 6, published in 1956 ; since then supplements covering authors A to ? have been issued on an annual basis. Beginning with Supplement 15, the Parasite-Subject Catalogues, contain- ing indices to the author references, are being...

  20. Supplement to the Surplus Plutonium Disposition Draft Environmental Impact Statement

    SciTech Connect (OSTI)

    N /A

    1999-05-14T23:59:59.000Z

    On May 22, 1997, DOE published a Notice of Intent in the Federal Register (62 Federal Register 28009) announcing its decision to prepare an environmental impact statement (EIS) that would tier from the analysis and decisions reached in connection with the ''Storage and Disposition of Weapons-Usable Fissile Materials Final Programmatic EIS (Storage and Disposition PEIS)''. ''The Surplus Plutonium Disposition Draft Environmental Impact Statement'' (SPD Draft EIS) (DOWEIS-0283-D) was prepared in accordance with NEPA and issued in July 1998. It identified the potential environmental impacts of reasonable alternatives for the proposed siting, construction, and operation of three facilities for plutonium disposition. These three facilities would accomplish pit disassembly and conversion, immobilization, and MOX fuel fabrication. For the alternatives that included MOX fuel fabrication, the draft also described the potential environmental impacts of using from three to eight commercial nuclear reactors to irradiate MOX fuel. The potential impacts were based on a generic reactor analysis that used actual reactor data and a range of potential site conditions. In May 1998, DCE initiated a procurement process to obtain MOX fuel fabrication and reactor irradiation services. The request for proposals defined limited activities that may be performed prior to issuance of the SPD EIS Record of Decision (ROD) including non-site-specific work associated with the development of the initial design for the MOX fuel fabrication facility, and plans (paper studies) for outreach, long lead-time procurements, regulatory management, facility quality assurance, safeguards, security, fuel qualification, and deactivation. No construction on the proposed MOX facility would begin before an SPD EIS ROD is issued. In March 1999, DOE awarded a contract to Duke Engineering & Services; COGEMA, Inc.; and Stone & Webster (known as DCS) to provide the requested services. The procurement process included the environmental review specified in DOE's NEPA regulations in 10 CFR 1021.216. The six reactors selected are Catawba Nuclear Station Units 1 and 2 in South Carolina McGuire Nuclear Station Units 1 and 2 in North Carolina, and North Anna Power Station Units 1 and 2 in Virginia. The Supplement describes the potential environmental impacts of using MOX fuel in these six specific reactors named in the DCS proposal as well as other program changes made since the SPD Draft EIS was published.

  1. Supplemental figures and legends, Supplemental table legends, and Methods Lindquist, et al. manuscript

    E-Print Network [OSTI]

    Sabatini, David M.

    used in our meta-analysis. Other Supplemental Materials The open-source high-throughput image analysisSys 5500 contact arrayer and SMP7 stealth microarray pins (Genomic Solutions). Preprints were performed

  2. Management Plan Supplement Yakima Subbasin Plan

    E-Print Network [OSTI]

    #12;Management Plan Supplement Yakima Subbasin Plan November 26, 2004 Prepared for the Presented's subbasin planning process is iterative and designed within an adaptive management framework. Management is comprised of elected officials from local governments throughout the subbasin, and meets regularly to work

  3. Office of Dietary Supplements Inside this issue

    E-Print Network [OSTI]

    Bandettini, Peter A.

    Office of Dietary Supplements Update Inside this issue In the Beginning.. 1 ODS Activities and Programs 2 Research Support 2 Information Resources 5 Other Activities 6 The Future 7 ODS--Current Staff 8 Bethesda, MD 20892 Phone: 301­435­2920 Fax: 301­480­1845 WE'RE ON THE WEB! HTTP://ODS.OD.NIH.GOV ODS

  4. Office of Dietary Supplements Inside this issue

    E-Print Network [OSTI]

    Bandettini, Peter A.

    NAPRALERT Database 1 Recent Additions to ODS Web Site 2 News for Researchers 3 CARDS Database Expanded 3 Upcoming Events 4 New ODS Staff 4 Publications by ODS Staff 5 Office of Dietary Supplements National­480­1845 WE'RE ON THE WEB! HTTP://ODS.OD.NIH.GOV Volume 4, Issue 3 July 2006 National Institutes of Health U

  5. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications (EIA)

    2014-01-01T23:59:59.000Z

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  6. Driving Supplement to Application for Student Employment

    E-Print Network [OSTI]

    Amin, S. Massoud

    Driving Supplement to Application for Student Employment For positions that require employees you for employment (MN STAT. S13.04 [Subd. 21]): Private Information Intended Use Legal Requirement. ______________________________________________________________________ ________________ Signature Date The University of Minnesota is an equal opportunity educator & employer. © 2001

  7. Systems Biology Group Decision Making

    E-Print Network [OSTI]

    entities (e.g., molecular, cellular, organism, ecological) #12;OHIO STATE T . H . E UNIVERSITY Systems/analysis of perception, attention, choice, learning, optimality,... #12;OHIO STATE T . H . E UNIVERSITY Group decision making, evolution and ecology Current work: Modeling/analysis of coordinated motion, foraging, choice

  8. Decision making in the reactor control room

    SciTech Connect (OSTI)

    Nelson, W.R.

    1981-01-01T23:59:59.000Z

    One of the most important roles of the nuclear reactor operator is that of decision maker. This paper discusses a simple model of the decision process used by the reactor operator. Resources that must be available so that he can perform the decision process are presented. Decision aids which have been investigated at EG and G Idaho, Inc., as part of the LOFT Augmented Operator Capability Program are briefly discussed. Some general concepts of computerized decision aiding are developed, and the promises and pitfalls of such decision aids are explored. 7 refs., 1 fig.

  9. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General analysis, and public education in global environmental change. It seeks to provide leadership;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium

  10. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

    Tang, Victor, Ph.D. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    We explore corporate decisions and their solutions under uncertainty using engineering methods. Corporate decisions tend to be complex; they are interdisciplinary and defy programmable solutions. To address these challenges, ...

  11. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

  12. Investigating online decision-making styles

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15T23:59:59.000Z

    As one of the factors influencing consumers purchase behavior, decision-making styles are crucial for understanding consumer shopping behavior and for developing successful marketing strategies. Decision-making styles have been mainly viewed as a...

  13. Evaluation of information bundles in engineering decisions 

    E-Print Network [OSTI]

    Bakir, Niyazi Onur

    2004-11-15T23:59:59.000Z

    This dissertation addresses the question of choosing the best information alternative in engineering decisions. The decision maker maximizes his expected utility under uncertainty where both the action he takes and the state of the environment...

  14. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01T23:59:59.000Z

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  15. PROJECT W-551 INTERIM PRETREATMENT SYSTEM TECHNOLOGY SELECTION SUMMARY DECISION REPORT AND RECOMMENDATION

    SciTech Connect (OSTI)

    CONRAD EA

    2008-08-12T23:59:59.000Z

    This report provides the conclusions of the tank farm interim pretreatment technology decision process. It documents the methodology, data, and results of the selection of cross-flow filtration and ion exchange technologies for implementation in project W-551, Interim Pretreatment System. This selection resulted from the evaluation of specific scope criteria using quantitative and qualitative analyses, group workshops, and technical expert personnel.

  16. Supplementation in the Columbia Basin : Summary Report Series : Final Report.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1992-12-01T23:59:59.000Z

    This progress report broadly defines the scope of supplementation plans and activities in the Columbia Basin. It provides the foundation for more detailed analysis of supplementation in subsequent reports in this series. Topics included in this report are: definition of supplementation, project diversity, objectives and performance standards, uncertainties and theory. Since this is a progress report, the content is subject to modification with new information. The supplementation theory will continue to evolve throughout the duration of RASP and beyond. The other topics in this report are essentially complete and are not expected to change significantly. This is the first of a series of four reports which will summarize information contained in the larger, RASP progress and completion reports. Our goal is to make the findings of RASP more accessible by grouping related topics into smaller but complete narratives on important aspects of supplementation. We are planning to publish the following reports under the general title Supplementation in the Columbia River Basin: Part 1, Background, Description, Performance Measures, Uncertainty and Theory; Part 2, Theoretical Framework and Models; Part 3, Planning Guidelines; and Part 4, Regional Coordination of Research and Monitoring. Supplementation is expected to be a major contributor to the planned increase in salmon and steelhead production in the Columbia Basin. The Fish and Wildlife Program of the Northwest Power Planning Council (NPPC) uses three approaches to protect and enhance salmon and steelhead in the Columbia Basin: (1) enhance fish production; (2) improve passage in the mainstem rivers; and (3) revise harvest management to support the rebuilding of fish runs (NPPC 1987). The fish production segment calls for a three-part approach focused on natural production, hatchery production, and supplementation. Supplementation is planned to provide over half of the total production increases. The Regional Assessment of Supplementation Project (RASP) was initiated as a result of a request by NPPC to address long-standing concerns about the need to coordinate supplementation research, monitoring and evaluation. Such coordination was also recommended by the Supplementation Technical Work Group. In August 1990, the NPPC gave conditional approval to proceed with the final design of the Yakima Production Project. The Council called on the Bonneville Power Administration (BPA) to fund immediately a supplementation assessment to reevaluate, prioritize and coordinate all existing and planned supplementation monitoring and evaluation activities in the basin. Providing for the participation of the fishery agencies and tribes and others having expertise in this area. RASP addresses four principal objectives: (1) provide an overview of ongoing and planned supplementation activities and identify critical uncertainties associated with supplementation, (2) construct a conceptual framework and model which estimates the potential benefits and risks of supplementation and prioritizes uncertainties, (3) provide guidelines for the development of supplementation projects, (4) develop a plan for regional coordination of research and monitoring. These objectives, once attained, will provide the technical tools fishery managers need to carry out the Council's direction to protect and enhance salmon and steelhead. RASP has further divided the four broad objectives into 12 technical topics: (1) definition of supplementation; (2) description of the diversity of supplementation projects; (3) objectives and performance standards; (4) identification of uncertainties; (5) supplementation theory; (6) development of a conceptual model of supplemented populations; (7) development of spreadsheet model of risks and benefits of supplementation; (8) classification of stocks, streams, and supplementation strategies; (9) regional design of supplementation evaluation and monitoring; (10) guidelines for planning supplementation projects (11) application of the spreadsheet model to supplementation planning; and (12)

  17. Better Buildings Neighborhood Program Decision Tool

    Broader source: Energy.gov [DOE]

    Provides an overview of the development of the Better Buildings Neighborhood Program decision tool, purpose, and scope.

  18. Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.

    SciTech Connect (OSTI)

    Hernandez, Jacquelynne; Parks, Mancel Jordan; Jennings, Barbara Joan; Kaplan, Paul Garry; Brown, Theresa Jean; Conrad, Stephen Hamilton

    2010-09-01T23:59:59.000Z

    Changes in climate can lead to instabilities in physical and economic systems, particularly in regions with marginal resources. Global climate models indicate increasing global mean temperatures over the decades to come and uncertainty in the local to national impacts means perceived risks will drive planning decisions. Agent-based models provide one of the few ways to evaluate the potential changes in behavior in coupled social-physical systems and to quantify and compare risks. The current generation of climate impact analyses provides estimates of the economic cost of climate change for a limited set of climate scenarios that account for a small subset of the dynamics and uncertainties. To better understand the risk to national security, the next generation of risk assessment models must represent global stresses, population vulnerability to those stresses, and the uncertainty in population responses and outcomes that could have a significant impact on U.S. national security.

  19. 4, 20352071, 2007 Open-GIS decision

    E-Print Network [OSTI]

    HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C. Trifu et System Sciences Development of an Open-GIS decision aid system for ecological and economical management, France 2035 #12;HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C

  20. Natural gas annual 1992: Supplement: Company profiles

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The data for the Natural Gas Annual 1991 Supplement : Company Profiles are taken from Form EIA-176, (open quotes) Annual Report of Natural and Supplemental Gas Supply and Disposition (close quotes). Other sources include industry literature and corporate annual reports to shareholders. The companies appearing in this report are major interstate natural gas pipeline companies, large distribution companies, or combination companies with both pipeline and distribution operations. The report contains profiles of 45 corporate families. The profiles describe briefly each company, where it operates, and any important issues that the company faces. The purpose of this report is to show the movement of natural gas through the various States served by the 45 large companies profiled.

  1. Supplement to the annual energy outlook 1994

    SciTech Connect (OSTI)

    NONE

    1994-03-01T23:59:59.000Z

    This report is a companion document to the Annual Energy Outlook 1994 (AEO94), (DOE/EIA-0383(94)), released in Jan. 1994. Part I of the Supplement presents the key quantitative assumptions underlying the AEO94 projections, responding to requests by energy analysts for additional information on the forecasts. In Part II, the Supplement provides regional projections and other underlying details of the reference case projections in the AEO94. The AEO94 presents national forecasts of energy production, demand and prices through 2010 for five scenarios, including a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices. These forecasts are used by Federal, State, and local governments, trade associations, and other planners and decisionmakers in the public and private sectors.

  2. Supplement to the Annual Energy Outlook 1993

    SciTech Connect (OSTI)

    Not Available

    1993-02-17T23:59:59.000Z

    The Supplement to the Annual Energy Outlook 1993 is a companion document to the Energy Information Administration`s (EIA) Annual Energy Outlook 1993 (AEO). Supplement tables provide the regional projections underlying the national data and projections in the AEO. The domestic coal, electric power, commercial nuclear power, end-use consumption, and end-use price tables present AEO forecasts at the 10 Federal Region level. World coal tables provide data and projections on international flows of steam coal and metallurgical coal, and the oil and gas tables provide the AEO oil and gas supply forecasts by Oil and Gas Supply Regions and by source of supply. All tables refer to cases presented in the AEO, which provides a range of projections for energy markets through 2010.

  3. Institutional plan: Supplements, FY 1998--FY 2003

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This supplement contains summaries of the projects, both DOE and non-DOE, that the Argonne National Laboratory conducts. DOE projects include nuclear energy, energy research, energy efficiency, fossil energy, defense programs, non-proliferation and national security, environmental management, and civilian radioactive waste management. The second part of this report contains descriptions of the Argonne National Lab site and facilities. Budget information is also presented.

  4. Mineral Supplementation of Beef Cows in Texas 

    E-Print Network [OSTI]

    Herd, Dennis B.

    1997-06-04T23:59:59.000Z

    in these problem herds returned to acceptable levels with mineral supplementation practices described in this publication. Need for Minerals Maintenance, growth, lactation, reproduction and animal health cannot be optimized where mineral intake is not properly... than during lactation. Since milk is low in copper, the cow must build the fetal liver concentration of copper 4 Table 1. Diet Formulation Guidelines 1996 Beef NRC Common Requirements Formulation Lactating Lactating Maximum Mineral Dry Cow Cow Dry Cow...

  5. Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models

    E-Print Network [OSTI]

    Vedlitz, Arnold; Mintz, Alex; Redd, Steven B.; Liu, Xinsheng; Alston, Letitia T.

    2013-12-19T23:59:59.000Z

    . The computerized Decision Board records key features of the decision-making process: (a) the sequence in which decision makers acquire the information, (b) the number of items that respondents view for every alternative along every dimension, and (c) the amount... Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models March 31, 2003 ? March 31, 2005 This research was funded by the National Defense University Contract No. DABJ29-03-P-0084 INSTITUTE FOR SCIENCE...

  6. Executive decision making processes and outcomes : structure and robustness

    E-Print Network [OSTI]

    Chacon, Vince

    2003-01-01T23:59:59.000Z

    Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of ...

  7. areas final decision: Topics by E-print Network

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

    Ulm, Universitt 234 Multiattribute Decision Making by Sequential Resource Allocation Power Transmission, Distribution and Plants Websites Summary: Multiattribute Decision...

  8. DISPLAYING AND INTERPRETING FLUID INCLUSION STRATIGRAPHY ANALYSES...

    Open Energy Info (EERE)

    ANALYSES ON MUDLOG GRAPHS Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: DISPLAYING AND INTERPRETING FLUID INCLUSION STRATIGRAPHY...

  9. Decision support for integrated water-energy planning.

    SciTech Connect (OSTI)

    Tidwell, Vincent Carroll; Malczynski, Leonard A.; Kobos, Peter Holmes; Castillo, Cesar; Hart, William Eugene; Klise, Geoffrey T.

    2009-10-01T23:59:59.000Z

    Currently, electrical power generation uses about 140 billion gallons of water per day accounting for over 39% of all freshwater withdrawals thus competing with irrigated agriculture as the leading user of water. Coupled to this water use is the required pumping, conveyance, treatment, storage and distribution of the water which requires on average 3% of all electric power generated. While water and energy use are tightly coupled, planning and management of these fundamental resources are rarely treated in an integrated fashion. Toward this need, a decision support framework has been developed that targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels. The framework integrates analysis and optimization capabilities to identify trade-offs, and 'best' alternatives among a broad list of energy/water options and objectives. The decision support framework is formulated in a modular architecture, facilitating tailored analyses over different geographical regions and scales (e.g., national, state, county, watershed, NERC region). An interactive interface allows direct control of the model and access to real-time results displayed as charts, graphs and maps. Ultimately, this open and interactive modeling framework provides a tool for evaluating competing policy and technical options relevant to the energy-water nexus.

  10. Simulation of human decision making

    DOE Patents [OSTI]

    Forsythe, J. Chris (Sandia Park, NM); Speed, Ann E. (Albuquerque, NM); Jordan, Sabina E. (Albuquerque, NM); Xavier, Patrick G. (Albuquerque, NM)

    2008-05-06T23:59:59.000Z

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  11. EIS-0285-SA-07: Supplement Analysis | Department of Energy

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

    and proposed new sections of the McNary-Roundup and the McNary Switchyard South Transmission lines. Supplement Analysis for the Transmission System Vegetation Management Program...

  12. EIS-0323: Notice of Intent to Prepare a Supplemental Environmental...

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

    Project in California The Western Area Power Administration (Western), Department of Energy (DOE), intends to prepare a Supplemental Environmental Impact Statement (SEIS) to...

  13. Enforcement Guidance Supplement 01-01, Nuclear Weapon Program...

    Office of Environmental Management (EM)

    OF ENFORCEMENT AND INVESTIGATION SUBJECT: Enforcement Guidance Supplement 01-01: Nuclear Weapon Program Enforcement Issues Section 1.3 of the Operational Procedures for...

  14. EIS-0403-S1: Supplement to the Draft Programmatic Environmental...

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

    Environmental Impact Statement EIS-0403-S1: Supplement to the Draft Programmatic Environmental Impact Statement Solar Energy Development in Six Southwestern States The...

  15. DOE Publishes Supplemental Notice of Proposed Rulemaking for...

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

    Department of Energy has published a supplemental notice of proposed rulemaking to revise and expand its existing regulations governing the use of particular methods as...

  16. Final Supplemental Environmental Impact Statement for a Geologic...

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

    Supplemental Environmental Impact Statement for a Geologic Repository for the Disposal of Spent Nuclear Fuel and High-Level Radioactive Waste at Yucca Mountain, Nye County, Nevada...

  17. MIDDLE SNAKE SUBBASINS MANAGEMENT PLAN SUPPLEMENT PRIORITIZED IMPLEMENTATION

    E-Print Network [OSTI]

    MIDDLE SNAKE SUBBASINS MANAGEMENT PLAN SUPPLEMENT ­ PRIORITIZED IMPLEMENTATION NOVEMBER 24, 2004/Browsing..........................................................................................9 Key Limiting Factor #5: Water Quality............................................................................................................................11 Management Plan Considerations

  18. Econometrica Supplementary Material SUPPLEMENTAL TO "SHARP IDENTIFICATION REGIONS IN

    E-Print Network [OSTI]

    Molchanov, Ilya

    Econometrica Supplementary Material SUPPLEMENTAL TO "SHARP IDENTIFICATION REGIONS IN MODELS also that by the positive homogeneity of the support function, our moment inequalities can be written

  19. EIS-0285-SA-62: Supplement Analysis | Department of Energy

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

    Rocky Reach - Maple Valley No. 1 Transmission Line Right of Way from structure 982 to structure 1101. The transmission line is a 500 kilovolt line (April 2002). Supplement...

  20. EIS-0285-SA-63: Supplement Analysis | Department of Energy

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

    Management on the North Bonneville-Midway and Hanford-Ostrander transmission line right-of-way (approx. 702 acres) (April 2002). Supplement Analysis for the Transmission...

  1. EIS-0116-S1: Final Supplemental Environmental Impact Statement...

    Office of Environmental Management (EM)

    Impact Statement Final Supplemental Environmental Impact Statement for the Blue River-Gore Pass Portion of the Hayden-Blue River Transmission Line Project, Grand and...

  2. ,"New York Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2013 ,"Release Date:","227...

  3. EIS-0048-S: Final Supplemental Environmental Impact Statement...

    Office of Environmental Management (EM)

    EIS-0048-S: Final Supplemental Environmental Impact Statement to FES-75-79 Bonneville Power Administration Proposed FY 1976 Program Facility Location, Okanogan Area Service,...

  4. EIS-0310-SA-02: Notice of Availability of Supplement Analysis...

    Office of Environmental Management (EM)

    Plutonium-238 Production for Radioisotope Power Systems DOE has completed a Supplement Analysis (SA) of the Programmatic Environmental Impact Statement for Accomplishing...

  5. FAQS Job Task Analyses- Industrial Hygiene

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  6. FAQS Job Task Analyses- General Technical Base

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  7. FAQS Job Task Analyses- DOE Aviation Manager

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  8. FAQS Job Task Analyses- Quality Assurance

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  9. TrekIndex Second Supplement Issue 1

    E-Print Network [OSTI]

    1981-01-01T23:59:59.000Z

    and placed in the Fanzine Collection at Paterson Free public Library, Paterson, N.J.: Alpha Centura Communicator — the Alpha Centura Club, Albuquerque, N.M. Antithesis — Pat Spath Axanar — Lexie Pakulak Bellerophon — Star Klicque Club Best of •••*? Series...(GA) — Randall Landers Starfleet supplemental Communique — Eric St.ilwell T-Negative — Ruth Berman Trek Force — Wchellen Estra TrekisM at Length — Vel Jaeger Those who indexed their own fanzines and sent me the data sheets: Alpha-Omega — Tina Bennett Duet, Orbit...

  10. Rangeland Drought Management for Texans: Supplemental Feeding

    E-Print Network [OSTI]

    Carpenter, Bruce B.; Hart, Charles R.

    2001-05-31T23:59:59.000Z

    for the nutrients that are lacking in the diet. A dry cow or ewe requires a minimum of 7 percent crude protein in her diet just to keep the digestive sys- tem microbes healthy and working on forage diges- tion. Therefore, the first limiting nutrient in dormant...- stock should come from pasture forage. This typically means adjusting stocking rate to a level appropriate for forage supply, and then supplement- ing protein to improve diet quality and forage con- sumption. In planning, remember that an average 1...

  11. Total Supplemental Supply of Natural Gas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline andSupplemental Gas

  12. Supplemental Directives | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City,EnrichedSupplemental Directives | National Nuclear Security

  13. National Supplemental Screening Program | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement ofConverDyn NOPRNancyNational Supplemental Screening Program

  14. Utilizing Supplemental Ultra-Low-NO

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59 FAXFactEnergyEnergyVOCsSupplemental

  15. Uncertainty Analyses of Advanced Fuel Cycles

    SciTech Connect (OSTI)

    Laurence F. Miller; J. Preston; G. Sweder; T. Anderson; S. Janson; M. Humberstone; J. MConn; J. Clark

    2008-12-12T23:59:59.000Z

    The Department of Energy is developing technology, experimental protocols, computational methods, systems analysis software, and many other capabilities in order to advance the nuclear power infrastructure through the Advanced Fuel Cycle Initiative (AFDI). Our project, is intended to facilitate will-informed decision making for the selection of fuel cycle options and facilities for development.

  16. Step decision rules for multistage stochastic programming

    E-Print Network [OSTI]

    Julien Th ni

    2006-08-08T23:59:59.000Z

    Aug 8, 2006 ... The second idea is to have each expert work with step decision rules. ... OR and Management Sciences (Supply Chain Management ). Citation: ...

  17. Examining Decision-Making Regarding Environmental Information

    SciTech Connect (OSTI)

    Marble, Julie Lynne; Medema, Heather Dawne; Hill, Susan Gardiner

    2001-10-01T23:59:59.000Z

    Eight participants were asked to view a computer-based multimedia presentation on an environmental phenomenon. Participants were asked to play a role as a senior aide to a national legislator. In this role, they were told that the legislator had asked them to review a multimedia presentation regarding the hypoxic zone phenomenon in the Gulf of Mexico. Their task in assuming the role of a senior aide was to decide how important a problem this issue was to the United States as a whole, and the proportion of the legislator’s research budget that should be devoted to study of the problem. The presentation was divided into 7 segments, each containing some new information not contained in the previous segments. After viewing each segment, participants were asked to indicate how close they were to making a decision and how certain they were that their current opinion would be their final decision. After indicating their current state of decision-making, participants were interviewed regarding the factors affecting their decision-making. Of interest was the process by which participants moved toward a decision. This experiment revealed a number of possible directions for future research. There appeared to be two approaches to decision-making: Some decision-makers moved steadily toward a decision, and occasionally reversed decisions after viewing information, while others abruptly reached a decision after a certain time period spent reviewing the information. Although the difference in estimates of distance to decisions did not differ statistically for these two groups, that difference was reflected in the participants’ estimates of confidence that their current opinion would be their final decision. The interviews revealed that the primary difference between these two groups was in their trade-offs between willingness to spend time in information search and the acquisition of new information. Participants who were less confident about their final decision, tended to be the same group of participants who moved slowly toward a decision. These participants also tended to indicate that acquisition of information was more critical than the amount of time spent on the information search. The second group tended to form a set of specific questions for which they desired specific answers. This group was more likely to demonstrate a significant reduction in their distance to a decision much earlier than the first group. In addition, this group tended to be very confident of their final decision and indicated that time spent in information search was more critical than obtaining new information. They indicated that the value of information obtained must remain high to justify the extensive time spent in information search.

  18. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  19. 5(b)/9(c) Record of Decision

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

    Revised Policy on Determining Net Requirements of Pacific Northwest Utility Customers Under Sections 5(b)(1) and 9(c) of the Northwest Power Act Administrator's Record of Decision...

  20. Evidence-based Decision Making: Influences on Central-Office Administrators' Decision-Making Practices

    E-Print Network [OSTI]

    Haecker, Bonnie Minnia

    2013-12-05T23:59:59.000Z

    administrators across the state of Texas were surveyed to obtain information about their evidence-based decision-making practices and the factors that influenced them when making decisions about interventions for their districts. The purpose...

  1. EIS-0236-S4: DOE Notice of Availability of the Supplemental Programmat...

    Energy Savers [EERE]

    Supplemental Programmatic Environmental Impact Statement EIS-0236-S4: DOE Notice of Availability of the Supplemental Programmatic Environmental Impact Statement Complex...

  2. EIS-0433-S1: EPA Notice of Availability of a Draft Supplemental...

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

    a Draft Supplemental Environmental Impact Statement EIS-0433-S1: EPA Notice of Availability of a Draft Supplemental Environmental Impact Statement Keystone XL Project EPA announces...

  3. EIS-0433-S1: EPA Notice of Availability of Final Supplemental...

    Office of Environmental Management (EM)

    3-S1: EPA Notice of Availability of Final Supplemental Environmental Impact Statement EIS-0433-S1: EPA Notice of Availability of Final Supplemental Environmental Impact Statement...

  4. EIS-0283-S2: DOE Notice of Availability of the Draft Supplemental...

    Office of Environmental Management (EM)

    DOE Notice of Availability of the Draft Supplemental Environmental Impact Statement EIS-0283-S2: DOE Notice of Availability of the Draft Supplemental Environmental Impact Statement...

  5. EA-1792-S1: DOE Notice of Availability of the Draft Supplemental...

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

    -S1: DOE Notice of Availability of the Draft Supplemental Environmental Assessment EA-1792-S1: DOE Notice of Availability of the Draft Supplemental Environmental Assessment DOE's...

  6. EIS-0283-S2: EPA Notice of Availability of the Final Supplemental...

    Energy Savers [EERE]

    283-S2: EPA Notice of Availability of the Final Supplemental Environmental Impact Statement EIS-0283-S2: EPA Notice of Availability of the Final Supplemental Environmental Impact...

  7. EIS-0423-S1: DOE Notice of Availability of a Draft Supplemental...

    Office of Environmental Management (EM)

    -S1: DOE Notice of Availability of a Draft Supplemental Environmental Impact Statement EIS-0423-S1: DOE Notice of Availability of a Draft Supplemental Environmental Impact...

  8. EIS-0288-S1: EPA Notice of Availability of Draft Supplemental...

    Energy Savers [EERE]

    8-S1: EPA Notice of Availability of Draft Supplemental Environmental Impact Statement EIS-0288-S1: EPA Notice of Availability of Draft Supplemental Environmental Impact Statement...

  9. EIS-0288-S1: EPA Notice of Availability of Draft Supplemental...

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

    288-S1: EPA Notice of Availability of Draft Supplemental Environmental Impact Statement EIS-0288-S1: EPA Notice of Availability of Draft Supplemental Environmental Impact Statement...

  10. Education Pays A Supplement to Education Pays 2004: The

    E-Print Network [OSTI]

    Buckmire, Ron

    Education Pays Update A Supplement to Education Pays 2004: The Benefits of Higher Education, this brief supplement to Education Pays 2004 updates selected indicators and adds several new perspectives for Individuals and Society In 2004, the College Board published Education Pays: The Benefits of Higher Education

  11. WELDING RESEARCH ~------------~-~ SUPPLEMENT TO THE WELDING JOURNAL, AUGUST 1989

    E-Print Network [OSTI]

    Eagar, Thomas W.

    ) ) WELDING RESEARCH ·~------------~-~ SUPPLEMENT TO THE WELDING JOURNAL, AUGUST 1989 Sponsored by the American Welding Society and the Welding Research Council All papers published in the Welding Journal's Welding Research Supplement undergo Peer Review before publication for: 1) originality of the contribution

  12. Faculty of Dentistry School of Dental Hygiene Supplemental Application Form

    E-Print Network [OSTI]

    Lotze, Heike K.

    Faculty of Dentistry · School of Dental Hygiene Supplemental Application Form Name: The Supplemental Application Form must be completed by all applicants to the School of Dental Hygiene and returned. The School of Dental Hygiene is committed to increasing the number of qualified dental hygienists who belong

  13. Manipulating decision making of typical agents

    E-Print Network [OSTI]

    V. I. Yukalov; D. Sornette

    2014-09-02T23:59:59.000Z

    We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathematical techniques that are common in quantum theory, justifying our naming as Quantum Decision Theory. However, we do not assume that decision makers are quantum objects. The techniques of quantum theory are needed only for defining the prospect probabilities taking into account such hidden variables as behavioral biases and other subconscious feelings. The approach describes an agent's choice as a probabilistic event occurring with a probability that is the sum of a utility factor and of an attraction factor. The attraction factor embodies subjective and unconscious dimensions in the mind of the decision maker. We show that the typical aggregate amplitude of the attraction factor is $1/4$, and it can be either positive or negative depending on the relative attraction of the competing choices. The most efficient way of varying the decision makers choice is realized by influencing the attraction factor. This can be done in two ways. One method is to arrange in a special manner the payoff weights, which induces the required changes of the values of attraction factors. We show that a slight variation of the payoff weights can invert the sign of the attraction factors and reverse the decision preferences, even when the prospect utilities remain unchanged. The second method of influencing the decision makers choice is by providing information to decision makers. The methods of influencing decision making are illustrated by several experiments, whose outcomes are compared quantitatively with the predictions of our approach.

  14. SCENARIO ANALYSES OF CALIFORNIA'S ELECTRICITY SYSTEM

    E-Print Network [OSTI]

    ......................................................................................F-12 APPENDIX G: Solar Technology Analyses G-1. Rooftop PV Penetration Assessments.......................................................G-1 G-2. Rooftop PV Production Profiles ................................................................G-2 G-3. Solar Parabolic Production Profiles

  15. SCM Forcing Data Derived from NWP Analyses

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

    Jakob, Christian

    Forcing data, suitable for use with single column models (SCMs) and cloud resolving models (CRMs), have been derived from NWP analyses for the ARM (Atmospheric Radiation Measurement) Tropical Western Pacific (TWP) sites of Manus Island and Nauru.

  16. SCENARIO ANALYSES OF CALIFORNIA'S ELECTRICITY SYSTEM

    E-Print Network [OSTI]

    ..................11 Table 2: Levelized System Costs ($2006/MWh) .................................................12CALIFORNIA ENERGY COMMISSION SCENARIO ANALYSES OF CALIFORNIA'S ELECTRICITY SYSTEM: PRELIMINARY RESULTS FOR THE 2007 INTEGRATED ENERGY POLICY REPORT ADDENDUM STAFFDRAFTREPORT JULY 2007 CEC-200

  17. SUPPLEMENTAL COLUMBIA RIVER PROTECTION ACTIVITIES AT THE DEPARTMENT OF ENERGY HANFORD SITE 2008 TECHNICAL REVIEW

    SciTech Connect (OSTI)

    Looney, B; Dawn S. Kaback, D; Eugene L. LeBoeuf, E; Joe Rossabi, J; Karen L. Skubal, K; David L. Cocke, D; Paul C. Deutsch, P

    2008-09-30T23:59:59.000Z

    Beginning in 2006, the US Department of Energy (DOE) supported nine applied research projects to improve the protection of the Columbia River and mitigate the impacts of Hanford Site groundwater. These projects were funded through a supplemental Congressional budget allocation, and are now in various stages of completion in accordance with the research plans. The DOE Office of Environmental Management Groundwater and Soil Cleanup Technologies (EM-22) sponsored a technical peer review meeting for these projects in Richland WA, July 28-31, 2008. The overall objective of the peer review is to provide information to support DOE decisions about the status and potential future application of the various technologies. The charge for the peer review panel was to develop recommendations for each of the nine 'technologies'. Team members for the July 2008 review were Brian Looney, Gene LeBoeuf, Dawn Kaback, Karen Skubal, Joe Rossabi, Paul Deutsch, and David Cocke. Previous project reviews were held in May 2007 and March-May of 2006. The team used the following four rating categories for projects: (a) Incorporate the technology/strategy in ongoing and future EM activities; (b) Finish existing scope of applied research and determine potential for EM activities when research program is finished; (c) Discontinue current development activities and do not incorporate technology/strategy into ongoing and future EM activities unless a significant and compelling change in potential viability is documented; and (d) Supplement original funded work to obtain the data needed to support a DOE decision to incorporate the technology into ongoing and future EM activities. The supplemental funding portfolio included two projects that addressed strontium, five projects that addressed chromium, one project that addressed uranium and one project that addressed carbon tetrachloride. The projects ranged from in situ treatment methods for immobilizing contaminants using chemical-based methods such as phosphate addition, to innovative surface treatment technologies such as electrocoagulation. Total funding for the nine projects was $9,900,000 in fiscal year (FY) 2006 and $2,000,000 in FY 2007. At the Richland meeting, the peer reviewers provided a generally neutral assessment of the projects and overall progress, and a generally positive assessment with regard to the principal investigators meeting their stated research objectives and performing the planned laboratory research and limited field work. Only one project, the Electrocoagulation Treatability Test, received a rating of 'discontinue' from the team because the project goals had not been met. Because this particular project has already ended, no action with respect to funding withdrawal is necessary. All other projects were recommended to be finished and/or incorporated into field efforts at Hanford. Specific technical comments and recommendations were provided by the team for each project.

  18. COMMISSION DECISION of 9 December 2010

    E-Print Network [OSTI]

    Brierley, Andrew

    COMMISSION DECISION of 9 December 2010 amending Decision C(2007) 2286 on the adoption of ERC Rules) (2010/767/EU) THE EUROPEAN COMMISSION, Having regard to the Treaty on the Functioning of the European 2007, the Commission adopted the rules for the submission of proposals to the European Research Council

  19. Decision Support for Choice of Security

    E-Print Network [OSTI]

    Langseth, Helge

    Decision Support for Choice of Security Solution The Aspect-Oriented Risk Driven Development (AORDD decisions. (4) RDD annotation rules for security risk and security solution variable estimation. (5) The AORDD security solution trade-o¤ analysis and trade-o¤ tool BBN topology. (6) Rule set for how

  20. DECISION MODELS FOR EMERGENCY RESPONSE PLANNING

    E-Print Network [OSTI]

    Wang, Hai

    Under FEMA Grant EMW-2004-GR-0112 September 28, 2004 Center for Risk and Economic Analysis of Terrorism by the United States Department of Homeland Security through the Center for Risk and Economic Analysis years proved invaluable as a decision-planning tool. Known as the science and technology of decision

  1. Puerto Rico Disaster Decision Support Tool

    E-Print Network [OSTI]

    Firestone, Jeremy

    Puerto Rico Disaster Decision Support Tool: An innovative step towards community resilience Support Tool Pilot Internet-based scalable mapping server Emergency management geo-referenced information for all municipalities in Puerto Rico #12;Disaster Decision Support Tool (DDST) What is a GIS

  2. Preferences, Information, and Group Decision Making

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  3. Preferences, Information, and Group Decision Making 

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  4. Reliable Distributed Computing for Decision Support Systems

    E-Print Network [OSTI]

    Bargiela, Andrzej

    Reliable Distributed Computing for Decision Support Systems Taha Osman, Andrzej Bargiela Department of application tasks on the currently avail- able computing nodes. Distributed Systems Reliability Due decision-support systems such as water distribution net- works, involving hundreds or even thousands

  5. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    1 Algorithmic Decision Theory and the Smart Grid Fred Roberts Rutgers University #12;2 Algorithmic Conference on ADT ­ probably Belgium in Fall 2013. #12;9 ADT and Smart Grid ·Many of the following ideas and planning dating at least to World War II. ·But: algorithms to speed up and improve real-time decision

  6. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions

    SciTech Connect (OSTI)

    Bohn, M P [Sandia National Labs., Albuquerque, NM (United States)] [Sandia National Labs., Albuquerque, NM (United States)

    1992-12-01T23:59:59.000Z

    As part of the NRC-sponsored program to study the implications of Generic Issue 57, Effects of Fire Protection System Actuation on Safety-Related Equipment,'' a subtask was performed to evaluate the applicability of formal decision analysis methods to generic issues cost/benefit-type decisions and to apply these methods to the GI-57 results. In this report, the numerical results obtained from the analysis of three plants (two PWRs and one BWR) as developed in the technical resolution program for GI-57 were studied. For each plant, these results included a calculation of the person-REM averted due to various accident scenarios and various proposed modifications to mitigate the accident scenarios identified. These results were recomputed to break out the benefit in terms of contributions due to random event scenarios, fire event scenarios, and seismic event scenarios. Furthermore, the benefits associated with risk (in terms of person-REM) averted from earthquakes at three different seismic ground motion levels were separately considered. Given this data, formal decision methodologies involving decision trees, value functions, and utility functions were applied to this basic data. It is shown that the formal decision methodology can be applied at several different levels. Examples are given in which the decision between several retrofits is changed from that resulting from a simple cost/benefit-ratio criterion by virtue of the decision-makinger's expressed (and assumed) preferences.

  7. Supplemental heating of deposition tooling shields

    DOE Patents [OSTI]

    Ohlhausen, James A. (Albuquerque, NM); Peebles, Diane E. (Albuquerque, NM); Hunter, John A. (Albuquerque, NM); Eckelmeyer, Kenneth H. (Albuquerque, NM)

    2000-01-01T23:59:59.000Z

    A method of reducing particle generation from the thin coating deposited on the internal surfaces of a deposition chamber which undergoes temperature variation greater than 100.degree. C. comprising maintaining the temperature variation of the internal surfaces low enough during the process cycle to keep thermal expansion stresses between the coating and the surfaces under 500 MPa. For titanium nitride deposited on stainless steel, this means keeping temperature variations under approximately 70.degree. C. in a chamber that may be heated to over 350.degree. C. during a typical processing operation. Preferably, a supplemental heater is mounted behind the upper shield and controlled by a temperature sensitive element which provides feedback control based on the temperature of the upper shield.

  8. Natural gas annual 1993 supplement: Company profiles

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. This report, the Natural Gas Annual 1993 Supplement: Company Profiles, presents a detailed profile of 45 selected companies in the natural gas industry. The purpose of this report is to show the movement of natural gas through the various States served by the companies profiled. The companies in this report are interstate pipeline companies or local distribution companies (LDC`s). Interstate pipeline companies acquire gas supplies from company owned production, purchases from producers, and receipts for transportation for account of others. Pipeline systems, service area maps, company supply and disposition data are presented.

  9. General Methodology Combining Engineering Optimization of Primary HVAC & R Plants with Decision Analysis Methods--Part I: Deterministic Analysis

    SciTech Connect (OSTI)

    Jiang, Wei; Reddy, T. A.

    2007-01-31T23:59:59.000Z

    This paper is the first of a two-part sequence that proposes a general methodology for dynamic scheduling and optimal control of complex primary HVAC&R plants, which combines engineering analyses within a practical decision analysis framework by modeling risk attitudes of the operator. The paper was based on work done prior to employment by Battelle.

  10. Evaluation of high- and low-protein sorghum grains supplemented with lysine and lysine plus threonine as a feed for finishing swine

    E-Print Network [OSTI]

    Kinslow, William Freddie

    1972-01-01T23:59:59.000Z

    /or methionine content are below the finishing pigs' requirements for these amino acids. Sorghum grain supplemented with these amino acids, either singularly or in combination, plus needed vitamins and minerals should theoretically provide optimum growth..., there was no significant difference in retained nitrogen. The nutritive value of two sorghum grains containing 7. 9 and 11. 8% protein was compared on the basis of rat growth and amino acid analyses by Waggle eX nf. (1966). The high protein sorghum grain had higher...

  11. A Comparison of Graphical Techniques for Asymmetric Decision Problems

    E-Print Network [OSTI]

    Bielza, Concha; Shenoy, Prakash P.

    1999-11-01T23:59:59.000Z

    We compare four graphical techniques for representation and solution of asymmetric decision problems—decision trees, influence diagrams, valuation networks, and sequential decision diagrams. We solve a modified version of ...

  12. THIRD SUPPLEMENT TO LOAN GUARANTEE SOLICITATION ANNOUNCEMENT

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,ZaleskiThis Decision considers anExercise PlanningCOUNCIL OfficeTHIRD

  13. Framing bioremediation decision making as negotiation: Rationale & guidelineFraming bioremediation decision making as negotiation: Rationale & guidelines

    SciTech Connect (OSTI)

    Bjornstad, David J.; Wolfe, Amy K.

    2004-03-17T23:59:59.000Z

    Framing remediation decision making as negotiation: (1) social choice, not technology choice; (2) prompts decision makers to identify interested and affected parties, anticipate objections, effectively address and ameliorate objections, and avoid unacceptable decisions.

  14. Materials Down Select Decisions Made Within DOE's Chemical Hydrogen...

    Energy Savers [EERE]

    Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center of Excellence Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center...

  15. Cellular Decision Making and Biological Noise: From Microbes to Mammals

    E-Print Network [OSTI]

    Balázsi, Gábor

    Cellular decision making is the process whereby cells assume different, functionally important and heritable fates without an associated genetic or environmental difference. Such stochastic cell fate decisions generate ...

  16. 15.060 Data, Models, and Decisions, Fall 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, ...

  17. Assessment of New Approaches in Geothermal Exploration Decision...

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

    approaches were investigated to develop a best-practices methodology for objective geothermal exploration decision making at a given location, including gono-go decision points...

  18. Record of Decision for the Uranium Leasing Program Programmatic...

    Energy Savers [EERE]

    Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact Statement Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact...

  19. Naval Petroleum Reserve No. 3 Disposition Decision Analysis and...

    Energy Savers [EERE]

    Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline This Report to Congress provides a...

  20. EIS-0236: Record of Decision | Department of Energy

    Office of Environmental Management (EM)

    EIS-0236: Record of Decision EIS-0236: Record of Decision National Ignition Facility The National Nuclear Security Administration (NNSA), a separate agency within the Department of...

  1. Population Analysis, Fall 2005 1 Population Analyses

    E-Print Network [OSTI]

    Clark, William R.

    Population Analysis, Fall 2005 1 Population Analyses EEOB/AEcl 611 Fall Semester 2005 Scheduled Phone: 294-5176 email: wrclark@iastate.edu AEcl 611 is evolving in response to very rapid changes. The emphasis in AEcl 611 is on understanding the statistical basis of various analytical techniques, applying

  2. Uncertainty quantification approaches for advanced reactor analyses.

    SciTech Connect (OSTI)

    Briggs, L. L.; Nuclear Engineering Division

    2009-03-24T23:59:59.000Z

    The original approach to nuclear reactor design or safety analyses was to make very conservative modeling assumptions so as to ensure meeting the required safety margins. Traditional regulation, as established by the U. S. Nuclear Regulatory Commission required conservatisms which have subsequently been shown to be excessive. The commission has therefore moved away from excessively conservative evaluations and has determined best-estimate calculations to be an acceptable alternative to conservative models, provided the best-estimate results are accompanied by an uncertainty evaluation which can demonstrate that, when a set of analysis cases which statistically account for uncertainties of all types are generated, there is a 95% probability that at least 95% of the cases meet the safety margins. To date, nearly all published work addressing uncertainty evaluations of nuclear power plant calculations has focused on light water reactors and on large-break loss-of-coolant accident (LBLOCA) analyses. However, there is nothing in the uncertainty evaluation methodologies that is limited to a specific type of reactor or to specific types of plant scenarios. These same methodologies can be equally well applied to analyses for high-temperature gas-cooled reactors and to liquid metal reactors, and they can be applied to steady-state calculations, operational transients, or severe accident scenarios. This report reviews and compares both statistical and deterministic uncertainty evaluation approaches. Recommendations are given for selection of an uncertainty methodology and for considerations to be factored into the process of evaluating uncertainties for advanced reactor best-estimate analyses.

  3. Kinematics analyses of Dodekapod Prakash Bande a

    E-Print Network [OSTI]

    Saha, Subir Kumar

    Kinematics analyses of Dodekapod Prakash Bande a , Martin Seibt b , Eckart Uhlmann b , S.K. Saha c. Tel.: +91 11 2659 1135; fax: +91 11 2658 2053. E-mail address: saha@mech.iitd.ernet.in (S.K. Saha

  4. Chemical Analyses of Silicon Aerogel Samples

    E-Print Network [OSTI]

    I. van der Werf; F. Palmisano; R. De Leo; S. Marrone

    2008-04-22T23:59:59.000Z

    After five years of operating, two Aerogel counters: A1 and A2, taking data in Hall A at Jefferson Lab, suffered a loss of performance. In this note possible causes of degradation have been studied. In particular, various chemical and physical analyses have been carried out on several Aerogel tiles and on adhesive tape in order to reveal the presence of contaminants.

  5. Chemical Analyses of Silicon Aerogel Samples

    E-Print Network [OSTI]

    van der Werf, I; De Leo, R; Marrone, S

    2008-01-01T23:59:59.000Z

    After five years of operating, two Aerogel counters: A1 and A2, taking data in Hall A at Jefferson Lab, suffered a loss of performance. In this note possible causes of degradation have been studied. In particular, various chemical and physical analyses have been carried out on several Aerogel tiles and on adhesive tape in order to reveal the presence of contaminants.

  6. ANALYSE CANONIQUE GNRALISE RGULARISE ET APPROCHE PLS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of generalized canonical correlation analysis for population (GCCA-population) which constitutes a theoretical equations of an optimization problem that we call regularized generalized canonical correlation analysis'algorithme PLS/Gauss-Seidel. Propriétés de convergence de l'algorithme PLS/Gauss-Seidel. 1. Analyse canonique

  7. Enforcement Guidance Supplement 00-01, Enforcement Position Relative...

    Office of Environmental Management (EM)

    Supplement 00-01: Enforcement Position Relative to the DiscoveryControl of Legacy Contamination Section 1.3 of the Operational Procedures for Enforcement, published in June 1998,...

  8. Tactual Display of Consonant Voicing to Supplement Lipreading

    E-Print Network [OSTI]

    Yuan, Hanfeng

    2004-10-07T23:59:59.000Z

    This research is concerned with the development of tactual displays to supplement the information available through lipreading. Because voicing carries a high informational load in speech and is not well transmitted through ...

  9. REVIEW OF DIESEL PARTICULATE MATTER SAMPLING METHODS Supplemental Report # 1

    E-Print Network [OSTI]

    Minnesota, University of

    REVIEW OF DIESEL PARTICULATE MATTER SAMPLING METHODS Supplemental Report # 1 DIESEL EXHAUST.D. and Megan Arnold University of Minnesota Department of Mechanical Engineering Center for Diesel Research....................................................................................... 3 Diesel aerosol size instrumentation............................................................ 4

  10. REVIEW OF DIESEL PARTICULATE MATTER SAMPLING METHODS Supplemental Report # 2

    E-Print Network [OSTI]

    Minnesota, University of

    REVIEW OF DIESEL PARTICULATE MATTER SAMPLING METHODS Supplemental Report # 2 AEROSOL DYMAMICS Arnold University of Minnesota Department of Mechanical Engineering Center for Diesel Research................................................................................................. 3 Diesel aerosol composition and structure................................................... 3

  11. From: Moore, Larine To: Moore, Larine Subject: FW: Supplemental...

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

    Moore, Larine To: Moore, Larine Subject: FW: Supplemental Information - Alaska LNG Project LLC - Docket No. 14-96-LNG Date: Tuesday, September 09, 2014 9:46:12 AM From: Brough,...

  12. ANL supplement to the CA-Disspla user's manual

    SciTech Connect (OSTI)

    Thommes, M.M.; Larson, E.M. (ed.)

    1989-03-01T23:59:59.000Z

    The ANL Supplement to the CA-DISSPLA USER'S MANUAL (ANL/TM 467) summarizes installation-dependent options and features of Disspla; this Supplement supersedes Using Cuechart, Tellegraf, and Disspla at ANL (ANL/TM 433). The information in this Supplement applies to version 10.5 of Disspla (which is currently installed in CMS, in MVS batch, and in several Argonne VAX/VMS systems), to Disspla 11.0 on the VAX 8700, and to version 10.0 of Disspla (which is currently installed on the Cray X-MP/14 under UNICOS). Unless this Supplement states otherwise, you should write Disspla programs according to instructions in the CA-Disspla User's Manual. This chapter contains information common to Disspla as installed in CMS, MVS, VAX/VMS, and UNICOS. (Chapter Two contains information specific to using Disspla in each of these computer systems.) 9 tabs.

  13. RRC - Supplemental Application Information for Permit to Maintain...

    Open Energy Info (EERE)

    Supplemental Application Information for Permit to Maintain and Use a Commercial Oil and Gas Waste Disposal Pit Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  14. Optimization Online - Optimizing Trading Decisions for Hydro ...

    E-Print Network [OSTI]

    Nils Löhndorf

    2011-12-10T23:59:59.000Z

    Dec 10, 2011 ... To demonstrate the efficiency of the solution approach, we fit an econometric ... Keywords: OR in Energy, Approximate Dynamic Programming, Stochastic Programming, Markov Decision Processes ... Classification Scheme

  15. Decision making process and factors routing

    E-Print Network [OSTI]

    Sun, Yichen, S.M. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in ...

  16. Rock Slopes from Mechanics to Decision Making

    E-Print Network [OSTI]

    Einstein, Herbert H.

    Rock slope instabilities are discussed in the context of decision making for risk assessment and management. Hence, the state of the slope and possible failure mechanism need to be defined first. This is done with geometrical ...

  17. Information, decision-making and health

    E-Print Network [OSTI]

    Abaluck, Jason T

    2011-01-01T23:59:59.000Z

    This thesis consists of three essays on information, decision-making and health. All three concern the relationship between the choices consumers would make if they were "fully informed" in an appropriate sense and the ...

  18. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This study explores the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. It employs alpha factor analysis techniques to develop ...

  19. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This report summarizes two interdependent studies which explore the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. They employ ...

  20. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  1. Enabling energy conservation through effective decision aids

    E-Print Network [OSTI]

    Rajagopal, D; Attari, S

    2015-01-01T23:59:59.000Z

    employ spreadsheet based or web-based calculators thatalso maintains a separate web-based calculator for comparingbe accomplished by linking any web-based decision aid to a

  2. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01T23:59:59.000Z

    Since 1970, the National Environmental Policy Act (NEPA) has served as the main instrument for analyzing the environmental impacts of federal agency decisions and providing the public with opportunities to participate in ...

  3. Argonne National Decision and Information Sciences Division

    E-Print Network [OSTI]

    Argonne National Laboratory Decision and Information Sciences Division Introducing EMTools conforms to expecta- tions. Argonne National Laboratory, developer of the successful Synchronization Matrix and exercise tool: EMTools. EMTools integrates the func- tionality of Argonne's previous-generation emergency

  4. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    emissions prices? How would CO2 regulations impact coal, gas, electricity, & SO2 markets? 3. Disruptions1 Decision Models for Bulk Energy Transportation Networks Electrical Engineering Professor Jim Mc: · integrated fuel, electricity networks · environmental impacts · electricity commodity markets · behavior

  5. Parallel object-oriented decision tree system

    DOE Patents [OSTI]

    Kamath; Chandrika (Dublin, CA), Cantu-Paz; Erick (Oakland, CA)

    2006-02-28T23:59:59.000Z

    A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.

  6. Interoperability Checklist for Decision-Makers

    SciTech Connect (OSTI)

    Melton, Ronald B.; Ambrosio, Ron

    2010-12-09T23:59:59.000Z

    In April 2007 the GridWise® Architecture Council published the Introduction to Interoperability and Decision-Maker’s Interoperability Checklist Version 1.0 as a tool to be used by policy makers and executives making smart grid policy or investment decisions. Subsequently there has been a significant amount of additional work on smart grid interoperability by the council and others. This paper summarizes the current efforts of the council to update the checklist to incorporate this subsequent work.

  7. Supplement 20, Part 7, Parasite-Subject Catalogue: Hosts

    E-Print Network [OSTI]

    Shaw, Judith H.; Edwards, Shirley J.; Rayburn, Jane D.; Tolson, Deborah A.; Hood, Martha W.

    1976-01-01T23:59:59.000Z

    . In other words, when using the Parasite-Subject Catalogues, it wTill be necessary to consult the Author Catalogue for complete bibliographical information. The following are the parts of each supplement : Part 1, Authors: A-Z Part 2, Parasite... SUPPLEMENT 20, PART 7 PARASITE-SUBJECT CATALOGUE : HOSTS By DEBORAH A. TOLSON, Biological Laboratory Technician MARTHA W. HOOD, Zoologist JUDITH H. SHAW, Zoologist JANE D. RAYBURN, Technical Information Specialist SHIRLEY J. EDWARDS, Supervisory...

  8. Influence of supplemental monensin on gestating and lactating ewes

    E-Print Network [OSTI]

    Peel, Richard Kraig

    1997-01-01T23:59:59.000Z

    INFLUENCE OF SUPPLEMENTAL MONENSIN ON GESTATING AND LACTATING EWES A Thesis by RICHARD KRAIG PEEL Submitted to the Once of Graduate Studies of Texas AkM University in partial fultdlment of the requirements for the degree of MASTER OF SCIENCE... December 1997 Major Subject: Animal Science INFLUENCE OF SUPPLEMENTAL MONENSIN ON GESTATING AND LACTATING EWES A Thesis by RICHARD KRAIG PEEL Submitted to Texas AkM University in partial ful611ment of the requirements for the degree of MASTER...

  9. Department of Energy's team's analyses of Soviet designed VVERs

    SciTech Connect (OSTI)

    Not Available

    1989-09-01T23:59:59.000Z

    This document provides Appendices A thru K of this report. The topics discussed respectively are: radiation induced embrittlement and annealing of reactor pressure vessel steels; loss of coolant accident blowdown analyses; LOCA blowdown response analyses; non-seismic structural response analyses; seismic analyses; S'' seal integrity; reactor transient analyses; fire protection; aircraft impacts; and boric acid induced corrosion. (FI).

  10. Position paper on the applicability of supplemental standards to the uppermost aquifer at the Uranium Mill Tailings Vitro Processing Site, Salt Lake City, Utah

    SciTech Connect (OSTI)

    NONE

    1996-03-01T23:59:59.000Z

    This report documents the results of the evaluation of the potential applicability of supplemental standards to the uppermost aquifer underlying the Uranium Mill Tailings Remedial Action (UMTRA) Project, Vitro Processing Site, Salt Lake City, Utah. There are two goals for this evaluation: provide the landowner with information to make an early qualitative decision on the possible use of the Vitro property, and evaluate the proposed application of supplemental standards as the ground water compliance strategy at the site. Justification of supplemental standards is based on the contention that the uppermost aquifer is of limited use due to wide-spread ambient contamination not related to the previous site processing activities. In support of the above, this report discusses the site conceptual model for the uppermost aquifer and related hydrogeological systems and establishes regional and local background water quality. This information is used to determine the extent of site-related and ambient contamination. A risk-based evaluation of the contaminants` effects on current and projected land uses is also provided. Reports of regional and local studies and U.S. Department of Energy (DOE) site investigations provided the basis for the conceptual model and established background ground water quality. In addition, a limited field effort (4 through 28 March 1996) was conducted to supplement existing data, particularly addressing the extent of contamination in the northwestern portion of the Vitro site and site background ground water quality. Results of the field investigation were particularly useful in refining the conceptual site model. This was important in light of the varied ground water quality within the uppermost aquifer. Finally, this report provides a critical evaluation, along with the related uncertainties, of the applicability of supplemental standards to the uppermost aquifer at the Salt Lake City Vitro processing site.

  11. Decision insight into stakeholder conflict for ERN.

    SciTech Connect (OSTI)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

    2012-02-01T23:59:59.000Z

    Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  12. Sensitivity in risk analyses with uncertain numbers.

    SciTech Connect (OSTI)

    Tucker, W. Troy; Ferson, Scott

    2006-06-01T23:59:59.000Z

    Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques have recently been proposed for use when the model is probabilistic. This report considers the related problem of sensitivity analysis when the model includes uncertain numbers that can involve both aleatory and epistemic uncertainty and the method of calculation is Dempster-Shafer evidence theory or probability bounds analysis. Some traditional methods for sensitivity analysis generalize directly for use with uncertain numbers, but, in some respects, sensitivity analysis for these analyses differs from traditional deterministic or probabilistic sensitivity analyses. A case study of a dike reliability assessment illustrates several methods of sensitivity analysis, including traditional probabilistic assessment, local derivatives, and a ''pinching'' strategy that hypothetically reduces the epistemic uncertainty or aleatory uncertainty, or both, in an input variable to estimate the reduction of uncertainty in the outputs. The prospects for applying the methods to black box models are also considered.

  13. WP-07-A-05A, Appendix A to the 2007 Supplemental Wholesale Power Rate Case Record of Decision

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOE Awards ContractRebuttalCase Initial

  14. Summary of Decisions- August 5, 2013- August 9, 2013

    Broader source: Energy.gov [DOE]

    Decisions were issued on: - Personnel Security (10 CFR Part 710) - Whistleblower Appeal (10 CFR Part 708)

  15. Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through§ Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 DOI: 10.2514/1.A32562 Although NASA has-term investment in the enabling technologies that will be required for these future systems. Given

  16. Algorithmic Decision Theory and Risk-based Decision Making in the

    E-Print Network [OSTI]

    distances to access resources in the case of a maritime, personnel casualty, or oil spill event. August 2012 speeds and quantities 2 #12;3 Algorithmic Decision Theory ·These tools and resources will enable better Theory ·These tools and resources will enable better decisions if we can surmount concomitant challenges

  17. Context Aware Decision System in a Smart Home: Knowledge Representation and Decision

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Context Aware Decision System in a Smart Home: Knowledge Representation and Decision Making Using representation, Reasoning under uncertainty 1 Introduction As the development of Smart Homes (SH) has gained.chahuara,francois.portet,michel.vacher}imag.fr Abstract. This research addresses the issue of building home automa- tion systems reactive to voice

  18. Supplement Analysis for the Transmission System Vegetation Management...

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

    and Record of Decision (ROD). Planning Steps 1. Identify facility and the vegetation management need. The work involved will be to clear tall growing vegetation that is...

  19. Naturalistic Decision Making for Power System Operators

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Podmore, Robin; Robinson, Marck; Ey, Pamela

    2010-02-01T23:59:59.000Z

    Motivation – Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three T’s: Trees, Training and Tools. To document and understand the mental processes used by expert operators when making critical decisions, a naturalistic decision making (NDM) model was developed. Transcripts of conversations were analyzed to reveal and assess NDM-based performance criteria. Findings/Design – An item analysis indicated that the operators’ Situation Awareness Levels, mental models, and mental simulations can be mapped at different points in the training scenario. This may identify improved training methods or analytical/ visualization tools. Originality/Value – This study applies for the first time, the concepts of Recognition Primed Decision Making, Situation Awareness Levels and Cognitive Task Analysis to training of electric power system operators. Take away message – The NDM approach provides a viable framework for systematic training management to accelerate learning in simulator-based training scenarios for power system operators and teams.

  20. Analysis of Salmon and Steelhead Supplementation, 1990 Final Report.

    SciTech Connect (OSTI)

    Miller, William H.; Coley, Travis C.; Burge, Howard L.

    1990-09-01T23:59:59.000Z

    Supplementation or planting salmon and steelhead into various locations in the Columbia River drainage has occurred for over 100 years. All life stages, from eggs to adults, have been used by fishery managers in attempts to establish, rebuild, or maintain anadromous runs. This report summarizes and evaluates results of past and current supplementation of salmon and steelhead. Conclusions and recommendations are made concerning supplementation. Hatchery rearing conditions and stocking methods can affect post released survival of hatchery fish. Stress was considered by many biologists to be a key factor in survival of stocked anadromous fish. Smolts were the most common life stage released and size of smolts correlated positively with survival. Success of hatchery stockings of eggs and presmolts was found to be better if they are put into productive, underseeded habitats. Stocking time, method, species stocked, and environmental conditions of the receiving waters, including other fish species present, are factors to consider in supplementation programs. The unpublished supplementation literature was reviewed primarily by the authors of this report. Direct contact was made in person or by telephone and data compiled on a computer database. Areas covered included Oregon, Washington, Idaho, Alaska, California, British Columbia, and the New England states working with Atlantic salmon. Over 300 projects were reviewed and entered into a computer database. The database information is contained in Appendix A of this report. 6 refs., 9 figs., 21 tabs.

  1. ORISE: Statistical Analyses of Worker Health

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOENurseResources EnvironmentalStatistical Analyses

  2. A risk-based decision-aiding tool for waste disposal

    SciTech Connect (OSTI)

    Weiner, R.F.; Reiser, A.S. [Sandia National Labs., Albuquerque, NM (United States); Elcock, C.G.; Nevins, S. [Los Alamos Technical Associates, Albuquerque, NM (United States)

    1997-10-01T23:59:59.000Z

    N-CART (the National Spent Nuclear Fuel Program Cost Analysis and Risk Tool) is being developed to aid in low-risk, cost-effective, timely management of radioactive waste and spent nuclear fuel, and can therefore be used in management of mixed waste. N-CART provides evaluation of multiple alternatives and presents the consequences of proposed waste management activities in a clear and concise format. N-CART`s decision-aiding analyses include comparisons and sensitivity analyses of multiple alternatives and allows the user to perform quick turn-around {open_quotes}what if{close_quotes} studies to investigate various scenarios. Uncertainties in data (such as cost and schedule of various activities) are represented as distributions. N-CART centralizes documentation of the bases of program alternatives and program decisions, thereby supporting responses to stakeholders concerns. The initial N-CART design considers regulatory requirements, costs, and schedules for alternative courses of action. The final design will include risks (public health, occupational, economic, scheduling), economic benefits, and the impacts of secondary waste generation. An optimization tool is being incorporated that allows the user to specify the relative importance of cost, time risks, and other bases for decisions. The N-CART prototype can be used to compare the costs and schedules of disposal alternatives for mixed low-level radioactive waste (MLLW) and greater-than-Class-C (GTCC) waste, as well as spent nuclear fuel (SNF) and related scrap material.

  3. Supplement analysis for continued operation of Lawrence Livermore National Laboratory and Sandia National Laboratories, Livermore. Volume 2: Comment response document

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    The US Department of Energy (DOE), prepared a draft Supplement Analysis (SA) for Continued Operation of Lawrence Livermore National Laboratory (LLNL) and Sandia National Laboratories, Livermore (SNL-L), in accordance with DOE`s requirements for implementation of the National Environmental Policy Act of 1969 (NEPA) (10 Code of Federal Regulations [CFR] Part 1021.314). It considers whether the Final Environmental Impact Statement and Environmental Impact Report for Continued Operation of Lawrence Livermore National Laboratory and Sandia National Laboratories, Livermore (1992 EIS/EIR) should be supplement3ed, whether a new environmental impact statement (EIS) should be prepared, or no further NEPA documentation is required. The SA examines the current project and program plans and proposals for LLNL and SNL-L, operations to identify new or modified projects or operations or new information for the period from 1998 to 2002 that was not considered in the 1992 EIS/EIR. When such changes, modifications, and information are identified, they are examined to determine whether they could be considered substantial or significant in reference to the 1992 proposed action and the 1993 Record of Decision (ROD). DOE released the draft SA to the public to obtain stakeholder comments and to consider those comments in the preparation of the final SA. DOE distributed copies of the draft SA to those who were known to have an interest in LLNL or SNL-L activities in addition to those who requested a copy. In response to comments received, DOE prepared this Comment Response Document.

  4. Understanding female collegiate athletes' intentions to consume sports supplements: an application of the theory of planned behavior

    E-Print Network [OSTI]

    Housman, Jeff Michael

    2007-09-17T23:59:59.000Z

    The Dietary Supplements Health and Education Act (DSHEA) of 1994 made safety and efficacy testing of dietary supplements the responsibility of the consumer. Currently, there exists little data on safety and efficacy of supplements...

  5. Comparison of elastic and inelastic analyses

    SciTech Connect (OSTI)

    Ammerman, D. J.; Heinstein, M. W.; Wellman, G. W.

    1992-01-01T23:59:59.000Z

    The use of inelastic analysis methods instead of the traditional elastic analysis methods in the design of radioactive material (RAM) transport packagings leads to a better understanding of the response of the package to mechanical loadings. Thus, better assessment of the containment, thermal protection, and shielding integrity of the package after a structural accident event can be made. A more accurate prediction of the package response can lead to enhanced safety and also allow for a more efficient use of materials, possibly leading to a package with higher capacity or lower weight This paper will discuss the advantages and disadvantages of using inelastic analysis in the design of RAM shipping packages. When using inelastic analysis the entire nonlinear response of the material must be known, including the effects of temperature changes and strain rate. There currently is not an acceptance criteria for this type of analysis that is approved by regulatory agencies. Inelastic analysis acceptance criteria based on failure stress, failure strain, or plastic energy density could be developed. For both elastic and inelastic analyses it is also important to include other sources of stress in the analyses, such as fabrication stresses, thermal stresses, stresses from bolt preloading, and contact stresses at material interfaces.

  6. Used Fuel Management System Interface Analyses - 13578

    SciTech Connect (OSTI)

    Howard, Robert; Busch, Ingrid [Oak Ridge National Laboratory, P.O. Box 2008, Bldg. 5700, MS-6170, Oak Ridge, TN 37831 (United States)] [Oak Ridge National Laboratory, P.O. Box 2008, Bldg. 5700, MS-6170, Oak Ridge, TN 37831 (United States); Nutt, Mark; Morris, Edgar; Puig, Francesc [Argonne National Laboratory (United States)] [Argonne National Laboratory (United States); Carter, Joe; Delley, Alexcia; Rodwell, Phillip [Savannah River National Laboratory (United States)] [Savannah River National Laboratory (United States); Hardin, Ernest; Kalinina, Elena [Sandia National Laboratories (United States)] [Sandia National Laboratories (United States); Clark, Robert [U.S. Department of Energy (United States)] [U.S. Department of Energy (United States); Cotton, Thomas [Complex Systems Group (United States)] [Complex Systems Group (United States)

    2013-07-01T23:59:59.000Z

    Preliminary system-level analyses of the interfaces between at-reactor used fuel management, consolidated storage facilities, and disposal facilities, along with the development of supporting logistics simulation tools, have been initiated to provide the U.S. Department of Energy (DOE) and other stakeholders with information regarding the various alternatives for managing used nuclear fuel (UNF) generated by the current fleet of light water reactors operating in the United States. An important UNF management system interface consideration is the need for ultimate disposal of UNF assemblies contained in waste packages that are sized to be compatible with different geologic media. Thermal analyses indicate that waste package sizes for the geologic media under consideration by the Used Fuel Disposition Campaign may be significantly smaller than the canisters being used for on-site dry storage by the nuclear utilities. Therefore, at some point along the UNF disposition pathway, there could be a need to repackage fuel assemblies already loaded and being loaded into the dry storage canisters currently in use. The implications of where and when the packaging or repackaging of commercial UNF will occur are key questions being addressed in this evaluation. The analysis demonstrated that thermal considerations will have a major impact on the operation of the system and that acceptance priority, rates, and facility start dates have significant system implications. (authors)

  7. Waste Stream Analyses for Nuclear Fuel Cycles

    SciTech Connect (OSTI)

    N. R. Soelberg

    2010-08-01T23:59:59.000Z

    A high-level study was performed in Fiscal Year 2009 for the U.S. Department of Energy (DOE) Office of Nuclear Energy (NE) Advanced Fuel Cycle Initiative (AFCI) to provide information for a range of nuclear fuel cycle options (Wigeland 2009). At that time, some fuel cycle options could not be adequately evaluated since they were not well defined and lacked sufficient information. As a result, five families of these fuel cycle options are being studied during Fiscal Year 2010 by the Systems Analysis Campaign for the DOE NE Fuel Cycle Research and Development (FCRD) program. The quality and completeness of data available to date for the fuel cycle options is insufficient to perform quantitative radioactive waste analyses using recommended metrics. This study has been limited thus far to qualitative analyses of waste streams from the candidate fuel cycle options, because quantitative data for wastes from the front end, fuel fabrication, reactor core structure, and used fuel for these options is generally not yet available.

  8. Building Stakeholder Trust: Defensible Government Decisions - 13110

    SciTech Connect (OSTI)

    Franklin, Victor A. [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)] [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)

    2013-07-01T23:59:59.000Z

    Administrative decisions must be grounded in reasonable expectations, founded on sound principles, and bounded by societal norms. Without these first principles, attaining and retaining public trust is a Herculean task. Decisions made by governmental administrators must be both transparent and defensible: without the former the agency will lose the public's trust and support (possibly prompting a legal challenge to the decision) and without the latter the decision may fail to withstand judicial scrutiny. This presentation and accompanying paper delves into the process by which governmental decisions can achieve both defensibility and openness through building stakeholder trust with transparency. Achieving and maintaining stakeholder trust is crucial, especially in the environs of nuclear waste management. Proving confidence, stability, and security to the surrounding citizenry as well as those throughout the country is the goal of governmental nuclear waste remediation. Guiding administrative decision-making processes and maintaining a broad bandwidth of communication are of incalculable importance to all those charged with serving the public, but are especially essential to those whose decisional impacts will be felt for millennia. A strong, clear, and concise administrative record documenting discrete decisions and overarching policy choices is the strongest defense to a decisional challenge. However, this can be accomplished using transparency as the fundamental building block. This documentation allows the decision-makers to demonstrate the synthesis of legal and technical challenges and fortifies the ground from which challenges will be defended when necessary. Further, administrative actions which capture the public's interest and captivate that interest throughout the process will result in a better-informed, more deeply-involved, and more heavily-invested group of interested parties. Management of information, involvement, and investment on the front-end of the process reaps rewards far more efficiently than attempts to assuage and mitigate the concerns of those parties after the fact and there are a number of tools Savannah River Remediation (SRR) has deployed that render transparency an ally in this context. The makers, applicators, and beneficiaries of policies and decisions will all benefit from strong administrative records which document decisional choices in an open and transparent manner and from timely, up-front management of concerns of interested parties. The strongest defense to decisional challenges is an ability to demonstrate the basis of the decision and the reason(s) that the decision was chosen over other alternatives. Providing a sound basis for defending challenges rather than avoiding or fighting over them allows the deciding entity the greatest opportunity to produce value for its customer. Often, a transparent process that invites public participation and is open for public review and comment will thwart challenge genesis. An entity that has to devote resources to defending its choices obviously cannot utilize those resources to further its mission. (authors)

  9. Process of Integrating Screening and Detailed Risk-based Modeling Analyses to Ensure Consistent and Scientifically Defensible Results

    SciTech Connect (OSTI)

    Buck, John W.; McDonald, John P.; Taira, Randal Y.

    2002-11-01T23:59:59.000Z

    To support cleanup and closure of these tanks, modeling is performed to understand and predict potential impacts to human health and the environment. Pacific Northwest National Laboratory developed a screening tool for the United States Department of Energy, Office of River Protection that estimates the long-term human health risk, from a strategic planning perspective, posed by potential tank releases to the environment. This tool is being conditioned to more detailed model analyses to ensure consistency between studies and to provide scientific defensibility. Once the conditioning is complete, the system will be used to screen alternative cleanup and closure strategies. The integration of screening and detailed models provides consistent analyses, efficiencies in resources, and positive feedback between the various modeling groups. This approach of conditioning a screening methodology to more detailed analyses provides decision-makers with timely and defensible information and increases confidence in the results on the part of clients, regulators, and stakeholders.

  10. Supplement 20, Part 1, Authors: A To Z 

    E-Print Network [OSTI]

    Podani, Jule M.; Hood, Martha W.; Tolson, Deborah A.; Kirby, Margie D.; Crawley, Lila R.; Rayburn, Jane D.; Shaw, Judith H.; Edwards, Shirley J.

    1975-01-01T23:59:59.000Z

    with Supplement 15, the Parasite-Subject Catalogues, contain- ing indices to the author references, are being issued. The Author Catalogue continues the format of previous supplements. The users should note that for each reference in the Author Catalogue... of the United States Animal Health Associ- ation. Richmond. [Continuation of: Proc. Ann. Meet. U. S. Live Stock San. Ass.] [W3. (/9.9 Un3R) ] Proc. Ann. Meet. West. Sect. Am. Soc. Animal Sc.? Proceed- ings. Annual Meeting. Western Section. American Soc- iety...

  11. EIS-0265-SA-78: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement Analysis

  12. EIS-0265-SA-79: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement

  13. EIS-0265-SA-83: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement3:

  14. EIS-0265-SA-88: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement3:8:

  15. EIS-0265-SA-89: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement3:8:9:

  16. EIS-0265-SA-90: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8: Supplement3:8:9:0:

  17. EIS-0265-SA-92: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:2: Supplement

  18. EIS-0265-SA-93: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:2: Supplement3:

  19. EIS-0265-SA-94: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:2: Supplement3:4:

  20. EIS-0265-SA-95: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:2: Supplement3:4:5:

  1. EIS-0281-SA-02: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:2: Supplement Analysis

  2. EIS-0281-SA-03: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:2: Supplement Analysis3:

  3. EIS-0281-SA-04: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:2: Supplement

  4. EIS-0285-SA-122: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2: Supplement

  5. EIS-0285-SA-132: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement Analysis

  6. EIS-0285-SA-133: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement

  7. EIS-0285-SA-134: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement4:

  8. EIS-0285-SA-136: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement4:6:

  9. EIS-0285-SA-137: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement4:6:7:

  10. EIS-0285-SA-138: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement4:6:7:8:

  11. EIS-0285-SA-139: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2: Supplement4:6:7:8:9:

  12. EIS-0285-SA-141: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1: Supplement

  13. EIS-0285-SA-142: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1: Supplement2:

  14. EIS-0285-SA-143: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1: Supplement2:3:

  15. EIS-0285-SA-144: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1: Supplement2:3:4:

  16. EIS-0285-SA-146: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1: Supplement2:3:4:6:

  17. EIS-0285-SA-148: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8: Supplement

  18. EIS-0285-SA-149: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8: Supplement9:

  19. EIS-0285-SA-150: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8: Supplement9:0:

  20. EIS-0285-SA-151: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8: Supplement9:0:1:

  1. EIS-0285-SA-448: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8:8: Supplement

  2. EIS-0285-SA-449: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8:8: Supplement49:

  3. EIS-0287-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: Supplement Analysis EIS-0287-SA-01: Supplement

  4. ATTACHMENT 1 Export Control Decision Tree 1

    E-Print Network [OSTI]

    Howitt, Ivan

    ATTACHMENT 1 Export Control Decision Tree 1 for Travel or Shipping to Foreign Countries or Sharing Information with Foreign Nationals United States export controls exist to protect the national security and foreign policy interests of this country. Export controls govern the shipment, transmission, or transfer

  5. Combining Decision Procedures for Sorted Theories

    E-Print Network [OSTI]

    Tinelli, Cesare

    setting, nor is it obvious that the method in fact lifts as is to logics with sorts. To bridge this gap decision procedures for logical theories arises in many areas of computer science and artificial to Nelson and Oppen [8]. This method is at the heart of the verification systems cvc [9], argo-lib [6

  6. DEVELOPMENTOF A DECISION MAKING ALGORITHMFOR AIRBAG CONTROL

    E-Print Network [OSTI]

    Mahmud, Syed Masud

    DEVELOPMENTOF A DECISION MAKING ALGORITHMFOR AIRBAG CONTROL Ansaf I. Alrabady & Syed M. Mahmud Dept algorithms have been developed for airbag system to reduce head injury during the crash. Most is costly and ineffective to trigger the airbag on time for different types of crashes. The electronic

  7. Trust Calibration for Automated Decision Aids

    E-Print Network [OSTI]

    McShea, Daniel W.

    March 2010 Trust Calibration for Automated Decision Aids Project Leads Maranda McBride, PhD, North in a system is poorly calibrated. "Calibration" is a term used to describe the process by which automated such as homeland security. Therefore, it is imperative that DMs' trust be calibrated so that they effectively use

  8. Decision support tools for policy and planning

    SciTech Connect (OSTI)

    Jacyk, P.; Schultz, D.; Spangenberg, L.

    1995-07-01T23:59:59.000Z

    A decision support system (DSS) is being developed at the Radioactive Liquid Waste Treatment Facility, Los Alamos National Laboratory (LANL). The DSS will be used to evaluate alternatives for improving LANL`s existing central radioactive waste water treatment plant and to evaluate new site-wide liquid waste treatment schemes that are required in order to handle the diverse waste streams produced at LANL. The decision support system consists of interacting modules that perform the following tasks: rigorous process simulation, configuration management, performance analysis, cost analysis, risk analysis, environmental impact assessment, transportation modeling, and local, state, and federal regulation compliance checking. Uncertainty handling techniques are used with these modules and also with a decision synthesis module which combines results from the modules listed above. We believe the DSS being developed can be applied to almost any other industrial water treatment facility with little modification because in most situations the waste streams are less complex, fewer regulations apply, and the political environment is simpler. The techniques being developed are also generally applicable to policy and planning decision support systems in the chemical process industry.

  9. International Entry Decision for Design Firms

    E-Print Network [OSTI]

    Tohidi Vahdat, Amin

    2013-11-22T23:59:59.000Z

    Contractors TCE Transaction Cost Economics vii TABLE OF CONTENT Page ABSTRACT .......................................................................................................................ii DEDICATION... as ? Transaction Cost Economics Theory (TCE) ? International risk management ? Decision support system for international projects ? Organizational issues in global projects This research required an extensive literature review on global AEC projects as well...

  10. COORDINATION OF PRICING AND INVENTORY DECISIONS

    E-Print Network [OSTI]

    Shen, Zuo-Jun "Max"

    companies exploring innovative pricing strategies in an effort to improve their oper- ations and ultimately spare parts to final goods or companies use questionaires to determine market segmentation for product with inventory and production decisions. We review research in this area because it is an important one

  11. EIS-0048-S: Final Supplemental Environmental Impact Statement to FES-75-79

    Broader source: Energy.gov [DOE]

    Bonneville Power Administration Proposed FY 1976 Program Facility Location, Okanogan Area Service, Douglas and Okanogan Counties, WA, Supplemental

  12. Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis

    E-Print Network [OSTI]

    Kim, Hwan Yong

    2013-04-04T23:59:59.000Z

    the TUT research generated diverse variables and created possible implementations of spatial decision support system (SDSS), the methodology still demands improvement. The current method has been developed to create suitable routes but is not designed...

  13. Seismic Soil-Structure Interaction Analyses of a Deeply Embedded Model Reactor – SASSI Analyses

    SciTech Connect (OSTI)

    Nie J.; Braverman J.; Costantino, M.

    2013-10-31T23:59:59.000Z

    This report summarizes the SASSI analyses of a deeply embedded reactor model performed by BNL and CJC and Associates, as part of the seismic soil-structure interaction (SSI) simulation capability project for the NEAMS (Nuclear Energy Advanced Modeling and Simulation) Program of the Department of Energy. The SASSI analyses included three cases: 0.2 g, 0.5 g, and 0.9g, all of which refer to nominal peak accelerations at the top of the bedrock. The analyses utilized the modified subtraction method (MSM) for performing the seismic SSI evaluations. Each case consisted of two analyses: input motion in one horizontal direction (X) and input motion in the vertical direction (Z), both of which utilized the same in-column input motion. Besides providing SASSI results for use in comparison with the time domain SSI results obtained using the DIABLO computer code, this study also leads to the recognition that the frequency-domain method should be modernized so that it can better serve its mission-critical role for analysis and design of nuclear power plants.

  14. Supplement Analysis for the Site-Wide Environmental Impact Statement for Continued Operation of Los Alamos National Laboratory -- Proposed Horizontal Expansion of the Restricted Airspace up to 5,000 feet at Los Alamos National Laboratory

    SciTech Connect (OSTI)

    N /A

    2004-09-21T23:59:59.000Z

    This Supplement Analysis (SA) has been prepared to determine if the Site-Wide Environmental Impact Statement for Continued Operations of Los Alamos National Laboratory (SWEIS) (DOE/EIS-0238) adequately addresses the environmental effects of modifying the horizontal restricted airspace boundaries at the Los Alamos National Laboratory (LANL), to include LANL's Technical Areas (TA)-33 and TA-54, or if the SWEIS needs to be supplemented. Council on Environmental Quality regulations at Title 40, Section 1502.9(c) of the Code of Federal Regulations (40 CFR 1502.9[c]) require federal agencies to prepare a supplement to an EIS when an agency makes substantial changes in the Proposed Action that are relevant to Environmental concerns or when there are new circumstances or information relevant to environmental concerns and bearing on the Proposed Action or its impacts. This SA specifically compares key impact assessment parameters of this proposal to the SWEIS impact analysis, and considers LANL operational accident analyses. The Sa concludes with a finding of fact regarding whether the environmental effects of the Proposed Action are adequately bounded by the analyses of impacts projected by the 1999 Site-Wide Environmental Impact Statement for Continued Operation of the Los Alamos National Laboratory, or whether a Supplemental EIS is required.

  15. Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia

    SciTech Connect (OSTI)

    Vego, Goran [Civil Engineering Institute of Croatia, Environmental and Hydrotechnics Department, Matice Hrvatske 15, 21000 Split (Croatia)], E-mail: goran.vego@igh.hr; Kucar-Dragicevic, Savka [Croatian Environmental Agency, Director's Office, Trg Marsala Tita 8, 10000 Zagreb (Croatia)], E-mail: savka.kucar-dragicevic@azo.hr; Koprivanac, Natalija [Faculty of Chemical Engineering and Technology, Environmental Engineering Department, Marulicev Trg 19, 10000 Zagreb (Croatia)], E-mail: nkopri@fkit.hr

    2008-11-15T23:59:59.000Z

    The efficiency of providing a waste management system in the coastal part of Croatia consisting of four Dalmatian counties has been modelled. Two multi-criteria decision-making (MCDM) methods, PROMETHEE and GAIA, were applied to assist with the systematic analysis and evaluation of the alternatives. The analysis covered two levels; first, the potential number of waste management centres resulting from possible inter-county cooperation; and second, the relative merits of siting of waste management centres in the coastal or hinterland zone was evaluated. The problem was analysed according to several criteria; and ecological, economic, social and functional criteria sets were identified as relevant to the decision-making process. The PROMETHEE and GAIA methods were shown to be efficient tools for analysing the problem considered. Such an approach provided new insights to waste management planning at the strategic level, and gave a reason for rethinking some of the existing strategic waste management documents in Croatia.

  16. CONSTRUCTION NOTICE SUPPLEMENT For On-going Construction Project

    E-Print Network [OSTI]

    CONSTRUCTION NOTICE SUPPLEMENT For On-going Construction Project TO: Deans, Directors, Chairpersons Alarm System UHM 05-537A CONTRACTOR: Biven's Electric, Inc. Dba West Coast Construction SCOPE OF WORK OF CONSTRUCTION FROM 7:30 AM TO 4:30 PM ACCESSIBLE ROUTES: No accessible routes will be affected by this test

  17. CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project

    E-Print Network [OSTI]

    Dong, Yingfei

    CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project TO: Deans, Directors 23, 2011 HOURS OF CONSTRUCTION: Monday to Friday 7:30 a.m. to 4:00 p.m. ACCESSIBLE ROUTES: Accessible routes shall be maintained. ADVISORY: All persons in the vicinity of this construction project

  18. CONSTRUCTION NOTICE SUPPLEMENT For On-going Construction Project

    E-Print Network [OSTI]

    CONSTRUCTION NOTICE SUPPLEMENT For On-going Construction Project TO: Deans, Directors, Chairpersons routes are affected by this work. #12;ADVISORY: All persons in the vicinity of this construction project are advised to respect all construction barricades and all posted safety/detour signs. Your patience

  19. CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project

    E-Print Network [OSTI]

    CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project TO: Deans, Directors on the roof to June 30, 2011. DURATION OF PROJECT: May 21, 2011 to June 30, 2011 HOURS OF CONSTRUCTION: Monday persons in the vicinity of this construction project are advised to respect all construction barricades

  20. CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project

    E-Print Network [OSTI]

    CONSTRUCTION NOTICE SUPPLEMENT Additional Notice to Ongoing Project TO: Deans, Directors. DURATION OF PROJECT: May 31, 2011 to June 21, 2011 HOURS OF CONSTRUCTION: Monday to Friday 7:30 a.m. to 4. The loading area will be closed on May 31, 2011. ADVISORY: All persons in the vicinity of this construction

  1. WELDING RESEARCH SUPPLEMENT TO THE WELDING JOURNAL, JUNE, 1982

    E-Print Network [OSTI]

    Eagar, Thomas W.

    ) WELDING RESEARCH SUPPLEMENT TO THE WELDING JOURNAL, JUNE, 1982 Sponsored by the American Welding Society .1mJ the Welding Research Council The Effect of Electrical Resistance on Nugget Formation During Spot Welding Applying a higher resistance coating to HSLA steel increases the welding current range

  2. Supplement 21, Part 1, Authors: A To Z 

    E-Print Network [OSTI]

    Hood, Martha W.; Tolson, Deborah A.; Kirby, Margie D.; Rayburn, Jane D.; Edwards, Shirley J.; Shaw, Judith H.

    1976-01-01T23:59:59.000Z

    -Subject Catalogues, contain- ing indices to the author references, are being issued. The Author Catalogue continues the format of previous supplements. The users should note that for each reference in the Author Catalogue, the author (s) plus the date and letter...

  3. Business Plan : Supplemental Draft Environmental Impact Statement, Volume 2, Appendices.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1995-02-01T23:59:59.000Z

    This document contains the appendices for the Bonneville Power Administration (BPA) Business Plan: Supplemental Draft Environmental Impact Statement. Included are: BPA products and services; Rate design; Methodology and assumptions for numerical analysis; Retail utility operations; Comments and responses to the draft business plan EIS.

  4. Texas High Plains Supplement to Texas Alfalfa Production

    E-Print Network [OSTI]

    Mukhtar, Saqib

    "Spring Fever Alfalfa­The Pitfalls of Spring Seeding Alfalfa in West Texas," by Calvin Trostle (MarchTexas High Plains Supplement to Texas Alfalfa Production Texas Cooperative Extension Bulletin B through puts them near 8 gpm/A. Notes about `Texas Alfalfa Production' B-5017 from Texas Cooperative

  5. Supplemental Insert for "Managing Insect Pests of Texas Sunflower,"

    E-Print Network [OSTI]

    Mukhtar, Saqib

    may refer to the discussion on sunflower head moth in "Common Concerns in West Texas SunflowerSupplemental Insert for "Managing Insect Pests of Texas Sunflower," Publication L-1488 (January, 1998) Carl Patrick, Extension Entomology, Texas A&M­Amarillo, (806) 359-5401, c-patrick@tamu.edu Calvin

  6. 12 Victorian Supplement 2010 Victoria's unique geothermal option

    E-Print Network [OSTI]

    Sandiford, Mike

    12 Victorian Supplement 2010 Victoria's unique geothermal option Prof Mike Sandiford Professor Australia's `hot rocks'make it one of the best prospects for enhanced geothermal energy anywhere's most exciting geothermal prospects. Extracted from the ground, South Australian uranium could easily

  7. EIS-0050-S: Commercial and Apartment Conservation Service Program, Supplemental

    Broader source: Energy.gov [DOE]

    The Office of Buildings Energy Research and Development prepared this SEIS to analyze the potential environmental impacts resulting from national implementation of the Commercial and Apartment Conservation Service Program. This SEIS is a supplement to DOE/EIS-0050, Residential Conservation Service Program.

  8. SUPPLEMENTAL FUNDING ANNOUNCEMENT CAREER DEVELOPMENT AWARD IN MELANOMA & SKIN CANCER

    E-Print Network [OSTI]

    Sibille, Etienne

    SUPPLEMENTAL FUNDING ANNOUNCEMENT CAREER DEVELOPMENT AWARD IN MELANOMA & SKIN CANCER Sponsored by: The Specialized Program of Research Excellence (SPORE) in Melanoma & Skin Cancer University of Pittsburgh Cancer Institute Purpose The overall goals of the Melanoma & Skin Cancer SPORE are to improve the detection

  9. Graduate Student Handbook Supplement Department of Computer Science

    E-Print Network [OSTI]

    Tufts University

    Graduate Student Handbook Supplement Department of Computer Science Tufts University Fall 2013 Last Studies. 1 #12;1 Graduate Degrees in Computer Science The Department of Computer Science offers a number computer science courses, the op- portunity to earn the equivalent of an undergraduate minor in computer

  10. Glutamine and zinc methionine supplementation to dairy calves

    E-Print Network [OSTI]

    Simon, Robin Renee

    1999-01-01T23:59:59.000Z

    Glutamine and zinc play an important role in immune functions of animals. The objective of this research was to determine the effects of L-glutamine or zinc methionine supplementation on 1) plasma concentrations of minerals in dairy calves, and 2...

  11. Article for Holyrood Magazine (Renewables Supplement) Dr Gareth Harrison

    E-Print Network [OSTI]

    Harrison, Gareth

    , renewable energy encompasses much more than that: hydropower, solar, biomass, tidal, wave as well as off of UK energy use suggest high gas dependency. With reserves limited, we will become net importers withinArticle for Holyrood Magazine (Renewables Supplement) Dr Gareth Harrison Lecturer in Energy Systems

  12. How the Koontz Decision May Affect Climate Change Policy

    Office of Energy Efficiency and Renewable Energy (EERE)

    Please join us for a Sept. 10 webinar to discuss the Supreme Court's controversial decision in Koontz v. St. Johns River Water Management District and explore how the decision may affect the...

  13. Informing design decisions : an approach to corporate building design

    E-Print Network [OSTI]

    Maxwell, Marc A

    1985-01-01T23:59:59.000Z

    This thesis is an investigation into design methodologies. How do we, as designers, prepare ourselves for decision making and evaluate our assumptions and decisions? The intent is to employ this information as a basis for ...

  14. Computer-aided decision making for Medical Device Reporting

    E-Print Network [OSTI]

    Chen, Jih-Horn

    1987-01-01T23:59:59.000Z

    , and answer the questions'- "What to do, How, and When?" MDRSOFT, a computer-aided decision making aid for medical de ricr reporting, attempts to capture dynamic problem- solving knowledge through modeling man processed decision making in the domain...

  15. Perceptually-Driven Decision Theory for Interactive Realistic Rendering

    E-Print Network [OSTI]

    Ferwerda, James A.

    Perceptually-Driven Decision Theory for Interactive Realistic Rendering REYNALD DUMONT, FABIO rendering at interactive rates on commodity graphics hardware. The approach uses efficient perceptual metrics within a decision theoretic framework to optimally order rendering operations, pro- ducing images

  16. Information Environment and the Investment Decisions of Multinational Corporations

    E-Print Network [OSTI]

    Shroff, Nemit

    This paper examines how the external information environment in which foreign subsidiaries operate affects the investment decisions of multinational corporations (MNCs). We hypothesize and find that the investment decisions ...

  17. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01T23:59:59.000Z

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

  18. attribute decision making: Topics by E-print Network

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

    6, UPM Decision Making in MAS, March 2007 2344 12;About this lecture This course Zachmann, Gabriel 5 How brains make decisions Quantum Physics (arXiv) Summary: This chapter,...

  19. applied decision making: Topics by E-print Network

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

    6, UPM Decision Making in MAS, March 2007 2344 12;About this lecture This course Zachmann, Gabriel 7 How brains make decisions Quantum Physics (arXiv) Summary: This chapter,...

  20. Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data

    E-Print Network [OSTI]

    Kargupta, Hilol

    Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data Chris Giannella Kun Liu Todd Olsen Hillol Kargupta Department of Computer Science and Electrical Engineering to efficiently construct a decision tree over heterogeneously distributed data with- out centralizing. We compare

  1. Transportation Decision Support Systems Oak Ridge National Laboratory

    E-Print Network [OSTI]

    Transportation Decision Support Systems Oak Ridge National Laboratory managed by UT-Battelle, LLC Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle and implementation of automated transportation decision support models for the scheduling and routing of cargo

  2. Computer-aided decision making for Medical Device Reporting 

    E-Print Network [OSTI]

    Chen, Jih-Horn

    1987-01-01T23:59:59.000Z

    , and answer the questions'- "What to do, How, and When?" MDRSOFT, a computer-aided decision making aid for medical de ricr reporting, attempts to capture dynamic problem- solving knowledge through modeling man processed decision making in the domain...

  3. A decision making framework for cruise ship design

    E-Print Network [OSTI]

    Katsoufis, George P. (George Paraskevas)

    2006-01-01T23:59:59.000Z

    This thesis develops a new decision making framework for initial cruise ship design. Through review of effectiveness analysis and multi-criteria decision making, a uniform philosophy is created to articulate a framework ...

  4. D2 Dopamine Receptor Mediation of Risky Decision-making

    E-Print Network [OSTI]

    Simon, Nicholas Wayne

    2011-08-08T23:59:59.000Z

    to determine if the behavioral patterns obtained in the risky decision-making task represent an independent cognitive construct rather than a function of a separate behavioral trait. Risky decision-making performance was not correlated with measures...

  5. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common

  6. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real­world logistics problems, common

  7. Including model uncertainty in risk-informed decision-making

    E-Print Network [OSTI]

    Reinert, Joshua M

    2005-01-01T23:59:59.000Z

    Model uncertainties can have a significant impact on decisions regarding licensing basis changes. We present a methodology to identify basic events in the risk assessment that have the potential to change the decision and ...

  8. Decisionmetrices : dynamic structural estimation of shipping investment decisions

    E-Print Network [OSTI]

    Dikos, George

    2004-01-01T23:59:59.000Z

    This dissertation develops structural models for analyzing shipping investment decisions, namely ordering, scrapping and lay-up decisions in the tanker industry. We develop models, based on a microeconomic specification, ...

  9. Administrator's Record of Decision (ROD) on New Large Single...

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

    NEW LARGE SINGLE LOAD POLICY ISSUE REVIEW ADMINISTRATOR'S RECORD OF DECISION MARCH 2002 TABLE OF CONTENTS I. Introduction ......

  10. PRECLOSURE CONSEQUENCE ANALYSES FOR LICENSE APPLICATION

    SciTech Connect (OSTI)

    S. Tsai

    2005-01-12T23:59:59.000Z

    Radiological consequence analyses are performed for potential releases from normal operations in surface and subsurface facilities and from Category 1 and Category 2 event sequences during the preclosure period. Surface releases from normal repository operations are primarily from radionuclides released from opening a transportation cask during dry transfer operations of spent nuclear fuel (SNF) in Dry Transfer Facility 1 (DTF 1), Dry Transfer Facility 2 (DTF 2), the Canister Handling facility (CHF), or the Fuel Handling Facility (FHF). Subsurface releases from normal repository operations are from resuspension of waste package surface contamination and neutron activation of ventilated air and silica dust from host rock in the emplacement drifts. The purpose of this calculation is to demonstrate that the preclosure performance objectives, specified in 10 CFR 63.111(a) and 10 CFR 63.111(b), have been met for the proposed design and operations in the geologic repository operations area. Preclosure performance objectives are discussed in Section 6.2.3 and are summarized in Tables 1 and 2.

  11. Decision Analysis of Dynamic Spectrum Access Rules

    SciTech Connect (OSTI)

    Juan D. Deaton; Luiz A. DaSilva; Christian Wernz

    2011-12-01T23:59:59.000Z

    A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different decision rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using sensing information between the transmitter and receiver of a communication link, provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.

  12. Computer Science and Decision Theory Fred S. Roberts 1

    E-Print Network [OSTI]

    Computer Science and Decision Theory Fred S. Roberts 1 DIMACS Center, Rutgers University, Piscataway, NJ 08854 USA froberts@dimacs.rutgers.edu Abstract This paper reviews applications in computer in the social and decision sciences of newer decision-theoretic methods developed with computer science

  13. Procuring Solar Energy: A Guide for Federal Facility Decision Makers

    E-Print Network [OSTI]

    Procuring Solar Energy: A Guide for Federal Facility Decision Makers SEPTEMBER 2010 Solar Energy: www.ntis.gov/help/ordermethods.aspx PROCURING SOLAR ENERGY: A GUIDE FOR FEDERAL FACILITY DECISION MAKERS #12;September 2010 3 Procuring Solar Energy: A Guide for Federal Facility Decision Makers Blaise

  14. Edinburgh Research Explorer Strengthening conceptual foundations: Analysing frameworks

    E-Print Network [OSTI]

    Millar, Andrew J.

    for ecosystem services and poverty alleviation research Citation for published version: Fisher, JA, Patenaude, G foundations: Analysing frameworks for ecosystem services and poverty alleviation research' Global: Analysing frameworks for ecosystem services and poverty alleviation research§ Janet A. Fisher a

  15. Computer models for evaluating financial decision alternatives

    E-Print Network [OSTI]

    Christian, James Carroll

    1973-01-01T23:59:59.000Z

    973 Major Subject: Industrial Engineering COMPUTER MODELS FOR EVALUATING FINANCIAL DECISION ALTERNATIVES A Thesis by JAMES CARROLL CHRISTIAN Approved as to style and content by: . '; . . i', , ( (Chairman of Committee) (Head of Depar n... of this research is to bridge this gap by de- veloping the methodology necessary to solve personal finance problems in a quantitative method through the application of engineering economy principles. ACKNOWLEDGEMENTS I would like to express my sincere...

  16. Money Related Decommissioning and Funding Decision Making

    SciTech Connect (OSTI)

    Goodman, Lynne S. [Detroit Edison Company, 6400 N. Dixie Highway, Newport, Michigan 48162 (United States)

    2008-01-15T23:59:59.000Z

    'Money makes the world go round', as the song says. It definitely influences decommissioning decision-making and financial assurance for future decommissioning. This paper will address two money-related decommissioning topics. The first is the evaluation of whether to continue or to halt decommissioning activities at Fermi 1. The second is maintaining adequacy of financial assurance for future decommissioning of operating plants. Decommissioning costs considerable money and costs are often higher than originally estimated. If costs increase significantly and decommissioning is not well funded, decommissioning activities may be deferred. Several decommissioning projects have been deferred when decision-makers determined future spending is preferable than current spending, or when costs have risen significantly. Decommissioning activity timing is being reevaluated for the Fermi 1 project. Assumptions for waste cost-escalation significantly impact the decision being made this year on the Fermi 1 decommissioning project. They also have a major impact on the estimated costs for decommissioning currently operating plants. Adequately funding full decommissioning during plant operation will ensure that the users who receive the benefit pay the full price of the nuclear-generated electricity. Funding throughout operation also will better ensure that money is available following shutdown to allow decommissioning to be conducted without need for additional funds.

  17. Naturalistic Decision Making For Power System Operators

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Podmore, Robin; Robinson, Marck; Ey, Pamela

    2009-06-23T23:59:59.000Z

    Abstract: Motivation -- As indicated by the Blackout of 2003, the North American interconnected electric system is vulnerable to cascading outages and widespread blackouts. Investigations of large scale outages often attribute the causes to the three T’s: Trees, Training and Tools. A systematic approach has been developed to document and understand the mental processes that an expert power system operator uses when making critical decisions. The approach has been developed and refined as part of a capability demonstration of a high-fidelity real-time power system simulator under normal and emergency conditions. To examine naturalistic decision making (NDM) processes, transcripts of operator-to-operator conversations are analyzed to reveal and assess NDM-based performance criteria. Findings/Design -- The results of the study indicate that we can map the Situation Awareness Level of the operators at each point in the scenario. We can also identify clearly what mental models and mental simulations are being performed at different points in the scenario. As a result of this research we expect that we can identify improved training methods and improved analytical and visualization tools for power system operators. Originality/Value -- The research applies for the first time, the concepts of Recognition Primed Decision Making, Situation Awareness Levels and Cognitive Task Analysis to training of electric power system operators. Take away message -- The NDM approach provides an ideal framework for systematic training management and mitigation to accelerate learning in team-based training scenarios with high-fidelity power grid simulators.

  18. Decision guide for roof slope selection

    SciTech Connect (OSTI)

    Sharp, T.R.; Wendt, R.L.; McCorkle, J.E.

    1988-10-01T23:59:59.000Z

    This decision guide has been written for personnel who are responsible for the design, construction, and replacement of Air Force roofs. It provides the necessary information and analytical tools for making prudent and cost-effective decisions regarding the amount of slope to provide in various roofing situations. Because the expertise and experience of the decision makers will vary, the guide contains both basic slope-related concepts as well as more sophisticated technical data. This breadth of information enables the less experienced user to develop an understanding of roof slope issues before applying the more sophisticated analytical tools, while the experienced user can proceed directly to the technical sections. Although much of this guide is devoted to the analysis of costs, it is not a cost-estimating document. It does, however, provide the reader with the relative costs of a variety of roof slope options; and it shows how to determine the relative cost-effectiveness of different options. The selection of the proper roof slope coupled with good roof design, a quality installation, periodic inspection, and appropriate maintenance and repair will achieve the Air Force's objective of obtaining the best possible roofing value for its buildings. 21 refs., 17 figs., 10 tabs.

  19. Eight weeks of supplementation with a multi-ingredient weight loss product enhances body composition, reduces hip and waist girth, and increases energy levels in overweight men and women

    E-Print Network [OSTI]

    Lopez, Hector L; Ziegenfus, Tim N; Hofheins, Jennifer E; Habowski, Scott M; Arent, Shawn M; Weir, Joseph P; Ferrando, Arny A

    2013-10-01T23:59:59.000Z

    as consultants to raw material suppliers, nutraceutical and dietary supplement companies, including Ultimate Wellness Systems Inc, and Integrity Nutraceuticals Inc. Author’s contributions HLL and TNZ contributed to the design and coordination of the study... preparation. JPW performed the statistical analyses. AAF assisted in analysis and interpretation of data, as well as manuscript preparation. All authors participated in editing and approved the final draft of the manuscript. Acknowledgements The authors would...

  20. Eight weeks of supplementation with a multi-ingredient weight loss product enhances body composition, reduces hip and waist girth, and increases energy levels in overweight men and women

    E-Print Network [OSTI]

    Lopez, Hector L.; Ziegenfuss, Tim N.; Hofheins, Jennifer E.; Habowski, Scott M.; Arent, Shawn M.; Weir, Joseph P.; Ferrando, Arny A.

    2013-04-19T23:59:59.000Z

    as consultants to raw material suppliers, nutraceutical and dietary supplement companies, including Ultimate Wellness Systems Inc, and Integrity Nutraceuticals Inc. Author’s contributions HLL and TNZ contributed to the design and coordination of the study... preparation. JPW performed the statistical analyses. AAF assisted in analysis and interpretation of data, as well as manuscript preparation. All authors participated in editing and approved the final draft of the manuscript. Acknowledgements The authors would...

  1. ISSUANCE 2015-01-27: Energy Conservation Program: Test Procedures for Dehumidifiers Supplemental Notice of Proposed Rulemaking

    Broader source: Energy.gov [DOE]

    Energy Conservation Program: Test Procedures for Dehumidifiers Supplemental Notice of Proposed Rulemaking

  2. Steelhead Supplementation Studies; Steelhead Supplementation in Idaho Rivers, Annual Report 2002.

    SciTech Connect (OSTI)

    Byrne, Alan

    2003-03-01T23:59:59.000Z

    The Steelhead Supplementation Study (SSS) has two broad objectives: (1) investigate the feasibility of supplementing depressed wild and natural steelhead populations using hatchery populations, and (2) describe the basic life history and genetic characteristics of wild and natural steelhead populations in the Salmon and Clearwater Basins. Idaho Department of Fish and Game (IDFG) personnel stocked adult steelhead from Sawtooth Fish Hatchery into Frenchman and Beaver creeks and estimated the number of age-1 parr produced from the outplants since 1993. On May 2, 2002, both Beaver and Frenchman creeks were stocked with hatchery adult steelhead. A SSS crew snorkeled the creeks in August 2002 to estimate the abundance of age-1 parr from brood year (BY) 2001. I estimated that the yield of age-1 parr per female stocked in 2001 was 7.3 and 6.7 in Beaver and Frenchman creeks, respectively. SSS crews stocked Dworshak hatchery stock fingerlings and smolts from 1993 to 1999 in the Red River drainage to assess which life stage produces more progeny when the adults return to spawn. In 2002, Clearwater Fish Hatchery personnel operated the Red River weir to trap adults that returned from these stockings. Twelve PIT-tagged adults from the smolt releases and one PIT-tagged adult from fingerling releases were detected during their migration up the mainstem Columbia and Snake rivers, but none from either group were caught at the weir. The primary focus of the study has been monitoring and collecting life history information from wild steelhead populations. An adult weir has been operated annually since 1992 in Fish Creek, a tributary of the Lochsa River. The weir was damaged by a rain-on-snow event in April 2002 and although the weir remained intact, some adults were able to swim undetected through the weir. Despite damage to the weir, trap tenders captured 167 adult steelhead, the most fish since 1993. The maximum likelihood estimate of adult steelhead escapement was 242. A screw trap has been operated annually in Fish Creek since 1994 to estimate the number of emigrating parr and smolts. I estimated that 18,687 juvenile steelhead emigrated from Fish Creek in 2002, the lowest number of migrants since 1998. SSS crews snorkeled three streams in the Selway River drainage and 10 streams in the Lochsa River drainage to estimate juvenile steelhead densities. The densities of age-1 steelhead parr declined in all streams compared to the densities observed in 2001. The age-1 densities in Fish Creek and Gedney Creek were the lowest observed since this project began monitoring those populations in 1994. The SSS crews and other cooperators tagged more than 12,000 juvenile steelhead with passive integrated transponder (PIT) tags in 2002. In 2002, technicians mounted and aged steelhead scales that were collected from 1998 to 2001. A consensus was reached among technicians for age of steelhead juveniles from Fish Creek. Scales that were collected in other streams were aged by at least one reader; however, before a final age is assigned to these fish, the age needs to be verified by another reader and any age differences among readers resolved. Dr. Jennifer Nielsen, at the U.S. Geological Survey Alaska Biological Science Center, Anchorage continued the microsatellite analysis of the steelhead tissue samples that were collected from Idaho streams in 2000. Two thousand eighteen samples from 40 populations were analyzed. The analysis of the remaining 39 populations is continuing.

  3. Efficient Transportation Decision Public Web Site: Bridging the Gap Between Transportation Planning and the Public

    E-Print Network [OSTI]

    Roaza, Ruth

    2007-01-01T23:59:59.000Z

    for accomplishing transportation planning and projectprocess – the Efficient Transportation Decision Making (Process - is to make transportation decisions more quickly

  4. CONTAIN assessment of the NUPEC mixing experiments. Supplement 1

    SciTech Connect (OSTI)

    Stamps, D.W. [Univ. of Evansville, IN (United States). Dept. of Mechanical and Civil Engineering; Murata, K.K. [Sandia National Labs., Albuquerque, NM (United States)

    1998-02-01T23:59:59.000Z

    In the original report (Reference 1), to which this report is a supplement, the results of CONTAIN code calculations were presented for five thermal-hydraulic experiments performed in the NUPEC 1/4-scale model containment, including the International Standard Problem ISP-35. In the original report, calculated helium concentrations were presented per NUPEC`s specifications for ISP-35. In contrast, this supplemental report presents the helium concentrations on a conventional dry basis, which is physically consistent with the gas chromatography data. These conventionally defined dry helium concentrations are compared with the previously reported results and are found to exhibit trends that are more consistent with measured data. While agreement between the predicted results and data is substantially improved in general for the M-8-1 experiment using these helium concentrations as opposed to the ISP-35 specifications, general improvement in agreement is not observed in all cases.

  5. Supplemental Material to Cryogenic Roadmap Current Commercial Technology

    E-Print Network [OSTI]

    Supplemental Material to Cryogenic Roadmap Current Commercial Technology Refrigeration Approximate,500 Brayton Turbine $800,000 $69.57 167 14.5 18.94% Liquid Air Plants Cosmodyne GF-1 80 N2 4 T/Day 8,400 Brayton Turbine $700,000 $83.33 372 44.3 6.21% Cosmodyne Aspen 1000 80 N2 1000 nM3 /Hr 64,969 Brayton

  6. Supplemental design requirements document solid waste operations complex

    SciTech Connect (OSTI)

    Ocampo, V.P.; Boothe, G.F.; Broz, D.R.; Eaton, H.E.; Greager, T.M.; Huckfeldt, R.A.; Kooiker, S.L.; Lamberd, D.L.; Lang, L.L.; Myers, J.B. [and others

    1994-11-01T23:59:59.000Z

    This document provides additional and supplemental information to the WHC-SD-W112-FDC-001, WHC-SD-W113-FDC-001, and WHC-SD-W100-FDC-001. It provides additional requirements for the design and summarizes Westinghouse Hanford Company key design guidance and establishes the technical baseline agreements to be used for definitive design common to the Solid Waste Operations Complex (SWOC) Facilities (Project W-112, Project W-113, and WRAP 2A).

  7. University of Tulsa centennial petroleum engineering symposium: Supplemental proceedings

    SciTech Connect (OSTI)

    NONE

    1994-12-31T23:59:59.000Z

    This is a supplemental proceedings to a more exhaustive set of previous proceedings which deal with reservoir geology and fluid mechanics. This proceedings contains six individual papers dealing with geostatistical modeling of oil and gas reservoirs along with mathematical modeling of flow in wells and reservoirs. Each of these papers have been individually abstracted for the data base. One paper deals with corrosion and erosion in the well bore. One paper deals with slug flow in pipelines and well bores.

  8. EIS-0290-SA-03: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: Supplement

  9. Supplemental Treatment Technologies Hanford Advisory Board Tank Waste Committee

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrial TechnologiesSupplemental Information

  10. Better Buildings Alliance Solar Decision Guide

    Broader source: Energy.gov [DOE]

    Businesses considering implementing solar PV may encounter widespread geographic differences regarding utility incentive structures (buy-down incentives, performance based incentives, feed-in tariffs, etc.), utility policies (net metering, interconnection requirements), regulatory structures, and permitting requirements. They might also have uncertainty about how to assess the different ownership structures (PPA, lease, own, etc.). The Solar Decision Guide can help companies navigate this complex environment to determine if investing in solar makes financial sense and to identify the regions that offer the most promising returns on solar investment.

  11. Decision Analysis for EGS | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 This workDayton: ENERGY8 Deaerators3Decision Analysis

  12. Developing a decision-theoretic network for a congenital heart disease

    E-Print Network [OSTI]

    Utrecht, Universiteit

    and statistical decision theory has yielded the framework of decision-theoretic networks 15 . The framework of decision making under uncertainty. In contrast with the classical decision-theoretic and knowledge-based approaches employed in the past two decades to decision making under uncertainty, the framework of decision-theoretic

  13. Yucca Mountain Site Characterization Project technical data catalog quarterly supplement

    SciTech Connect (OSTI)

    NONE

    1995-03-31T23:59:59.000Z

    The Department of Energy (DOE)/Nuclear Regulatory Commission (NRC) Site-Specific Procedural Agreement for Geologic Repository Site Investigation and Characterization Program requires the DOE to develop and maintain a catalog of data which will be updated and provided to the NRC at least quarterly. This catalog is to include a description of the data; the time (date), place, and method of acquisition; and where the data may be examined. The Yucca Mountain Site Characterization Project (YMP) Technical Data Catalog is published and distributed in accordance with t requirements of the Site-Specific Agreement. The YMP Technical Data Catalog is a report based on reference information contained in the YMP Automated Technical Data Tracking System (ATDT). The reference information is provided by Participants for data acquired or developed in support of the YMP. The Technical Data Catalog is updated quarterly and distributed in the month following the end of each quarter. A complete revision to the catalog is published at the end of each fiscal year. Supplements to the end-of-year edition are published each quarter. These supplements provide information related to new data items not included in previous quarterly updates and data items affected by changes to@ previously published reference information. The Technical Data Catalog, dated September 30, 1994, should be retained as the baseline document for the supplements until the end-of-year revision is published and distributed in October 1995.

  14. Yucca Mountain Site Characterization Project: Technical Data Catalog quarterly supplement

    SciTech Connect (OSTI)

    NONE

    1994-03-31T23:59:59.000Z

    The March 21, 1993, Department of Energy (DOE)/Nuclear Regulatory Commission (NRC) Site-Specific Procedural Agreement for Geologic Repository Site Investigation and Characterization Program requires the DOE to develop and maintain a catalog of data which will be updated and provided to the NRC at least quarterly. This catalog is to include a description of the data; the time (date), place, and method of acquisition; and where it may be examined. The Yucca Mountain Site Characterization Project (YMP) Technical Data Catalog is published and distributed in accordance with the requirements of the Site-Specific Agreement. The YMP Technical Data Catalog is a report based on reference information contained in the YMP Automated Technical Data Tracking System (ATDT). The reference information is provided by Participants for data acquired or developed in support of the YMP. The Technical Data Catalog is updated quarterly and published in the month following the end of each quarter. A complete revision to the Catalog is published at the end of each fiscal year. Supplements to the end-of-year edition are published each quarter. These supplements provide information related to new data items not included in previous quarterly updates and data items affected by changes to previously published reference information. The Technical Data Catalog, dated September 30, 1993, should be retained as the baseline document for the supplements until the end-of-year revision is published and distributed in October 1994.

  15. ADDITIONAL STRESS AND FRACTURE MECHANICS ANALYSES OF PRESSURIZED WATER REACTOR PRESSURE VESSEL NOZZLES

    SciTech Connect (OSTI)

    Walter, Matthew [Structural Integrity Associates, Inc.; Yin, Shengjun [ORNL; Stevens, Gary [U.S. Nuclear Regulatory Commission; Sommerville, Daniel [Structural Integrity Associates, Inc.; Palm, Nathan [Westinghouse Electric Company, Cranberry Township, PA; Heinecke, Carol [Westinghouse Electric Company, Cranberry Township, PA

    2012-01-01T23:59:59.000Z

    In past years, the authors have undertaken various studies of nozzles in both boiling water reactors (BWRs) and pressurized water reactors (PWRs) located in the reactor pressure vessel (RPV) adjacent to the core beltline region. Those studies described stress and fracture mechanics analyses performed to assess various RPV nozzle geometries, which were selected based on their proximity to the core beltline region, i.e., those nozzle configurations that are located close enough to the core region such that they may receive sufficient fluence prior to end-of-life (EOL) to require evaluation of embrittlement as part of the RPV analyses associated with pressure-temperature (P-T) limits. In this paper, additional stress and fracture analyses are summarized that were performed for additional PWR nozzles with the following objectives: To expand the population of PWR nozzle configurations evaluated, which was limited in the previous work to just two nozzles (one inlet and one outlet nozzle). To model and understand differences in stress results obtained for an internal pressure load case using a two-dimensional (2-D) axi-symmetric finite element model (FEM) vs. a three-dimensional (3-D) FEM for these PWR nozzles. In particular, the ovalization (stress concentration) effect of two intersecting cylinders, which is typical of RPV nozzle configurations, was investigated. To investigate the applicability of previously recommended linear elastic fracture mechanics (LEFM) hand solutions for calculating the Mode I stress intensity factor for a postulated nozzle corner crack for pressure loading for these PWR nozzles. These analyses were performed to further expand earlier work completed to support potential revision and refinement of Title 10 to the U.S. Code of Federal Regulations (CFR), Part 50, Appendix G, Fracture Toughness Requirements, and are intended to supplement similar evaluation of nozzles presented at the 2008, 2009, and 2011 Pressure Vessels and Piping (PVP) Conferences. This work is also relevant to the ongoing efforts of the American Society of Mechanical Engineers (ASME) Boiler and Pressure Vessel (B&PV) Code, Section XI, Working Group on Operating Plant Criteria (WGOPC) efforts to incorporate nozzle fracture mechanics solutions into a revision to ASME B&PV Code, Section XI, Nonmandatory Appendix G.

  16. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    SciTech Connect (OSTI)

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01T23:59:59.000Z

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  17. Mitigation of reservoir souring -- Decision process

    SciTech Connect (OSTI)

    Kalpakci, B.; Magri, N.F.; Ravenscroft, P.D.; McTeir, M.D.K.; Arf, G.T.

    1995-11-01T23:59:59.000Z

    In this paper a general H{sub 2}S decision strategy, describing the types of information which should be gathered and decisions to be made addressing an existing H{sub 2}S problem, or new field development is presented. Taking H{sub 2}S into consideration in initial facility design, types of monitoring of H{sub 2}S that should be carried out during field development and exploitation will be discussed. The usefulness of computer phase modeling, including equation of state calculations, to determine H{sub 2}S concentrations in all phases from reservoir through the production stream will also be described. From quantification of the souring problem it can then be decided if, and where in the production stream, the use of sulfide scavengers is required. A laboratory based testing procedure will be presented, along with experimental data. In addition to consideration of the basic chemistry, results of an industry survey will be presented on the best applications for commercial sulfide scavenging products.

  18. Decision support software technology demonstration plan

    SciTech Connect (OSTI)

    SULLIVAN,T.; ARMSTRONG,A.

    1998-09-01T23:59:59.000Z

    The performance evaluation of innovative and alternative environmental technologies is an integral part of the US Environmental Protection Agency's (EPA) mission. Early efforts focused on evaluating technologies that supported the implementation of the Clean Air and Clean Water Acts. In 1986 the Agency began to demonstrate and evaluate the cost and performance of remediation and monitoring technologies under the Superfund Innovative Technology Evaluation (SITE) program (in response to the mandate in the Superfund Amendments and Reauthorization Act of 1986 (SARA)). In 1990, the US Technology Policy was announced. This policy placed a renewed emphasis on making the best use of technology in achieving the national goals of improved quality of life for all Americans, continued economic growth, and national security. In the spirit of the technology policy, the Agency began to direct a portion of its resources toward the promotion, recognition, acceptance, and use of US-developed innovative environmental technologies both domestically and abroad. Decision Support Software (DSS) packages integrate environmental data and simulation models into a framework for making site characterization, monitoring, and cleanup decisions. To limit the scope which will be addressed in this demonstration, three endpoints have been selected for evaluation: Visualization; Sample Optimization; and Cost/Benefit Analysis. Five topics are covered in this report: the objectives of the demonstration; the elements of the demonstration plan; an overview of the Site Characterization and Monitoring Technology Pilot; an overview of the technology verification process; and the purpose of this demonstration plan.

  19. SENSITIVITY ANALYSIS FOR SALTSTONE DISPOSAL UNIT COLUMN DEGRADATION ANALYSES

    SciTech Connect (OSTI)

    Flach, G.

    2014-10-28T23:59:59.000Z

    PORFLOW related analyses supporting a Sensitivity Analysis for Saltstone Disposal Unit (SDU) column degradation were performed. Previous analyses, Flach and Taylor 2014, used a model in which the SDU columns degraded in a piecewise manner from the top and bottom simultaneously. The current analyses employs a model in which all pieces of the column degrade at the same time. Information was extracted from the analyses which may be useful in determining the distribution of Tc-99 in the various SDUs throughout time and in determining flow balances for the SDUs.

  20. FAQS Job Task Analyses - Safeguards and Security General Technical...

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

    Base More Documents & Publications FAQS Qualification Card - Safeguards and Security General Technical Base FAQS Job Task Analyses - General Technical Base FAQS Qualification Card...

  1. Decision-support tools for the assessment process

    SciTech Connect (OSTI)

    Whelan, Gene; Pelton, Mitch A.; Dorow, Kevin E.

    2004-06-14T23:59:59.000Z

    A new software system is under development that provides a framework to link disparate assessment software and databases for site-specific, regional, or national analyses. This system represents the merger of the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES), which performs site-specific assessments, and Multi-media, Multi-pathway, Multi-receptor Risk Assessment (3MRA) methodology, which performs regional and national assessments. This Merged System is an icon-driven, site-layout platform, which represents an interactive means by which the user graphically constructs a conceptualization of the problem by visually expressing the assessment, indicating sources of contamination, contaminant travel pathways through the environment, linkages between contamination and people or wildlife, and impacts associated with the contamination. It processes data as part of a systems-based assessment and is an open-architecture, object-oriented framework, which contains ''sockets'' for a collection of databases and computer codes that will transparently simulate elements of transport, exposure, and risk assessment, including contaminant source and release to and through overland soils, vadose and saturated zones, air, surface water, food supply, intake human health impacts, sensitivity/uncertainty, ecological impacts, with the ability to expand into areas including Geographical Information System (GIS), remediation technology, cost analysis, Data Quality Objectives, life-cycle management, and conceptual site design. A user can choose from a list of models, and the assessment path forward can be visually presented, which describes the models and their linkages from source through receptor to the decision-making endpoint.

  2. Strategies and Decision Support Systems for Integrating Variable...

    Open Energy Info (EERE)

    Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations: Global Best Practices, Examples of Excellence and...

  3. assessment decision support: Topics by E-print Network

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

    program for salmonids on the north coast. The Departments of Fish and Game, Forestry and Fire Protection, California Standiford, Richard B. 4 Decision-support tool for...

  4. Special Issue on Integrated Uncertainty Management for Decision Making

    E-Print Network [OSTI]

    under soft constraints #12;· Application: ­ Ranking and recommendation systems ­ Supply chain management and decision making. Topics include but are not limited to: · Methodology: ­ Uncertainty formalisms: Bayesian

  5. advanced clinical decision: Topics by E-print Network

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

    category during the post- intervention period was 32% in CDSS communities and 5 Campbell, A. Malcolm 11 Bayes Sequential Decision Theory in a Clinical Trial with Binary...

  6. Microsoft Word - Improved Interfaces and Decision Support_FINAL...

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

    the skill sets and performance of today's system operators. * Customer Decision Making - Demand Response (DR) systems will provide information to customers in easily understood...

  7. Making Hard Choices: Using Data to Make Collections Decisions

    E-Print Network [OSTI]

    Edwards, Susan E.

    2014-01-01T23:59:59.000Z

    analysis methodologies for collection management. College &2012). Relevance of library collections for graduate studentUsing Data to Make Collections Decisions Susan Elizabeth

  8. EIS-0380: Record of Decision | Department of Energy

    Energy Savers [EERE]

    Decision for continued operation of the Los Alamos National Laboratory in Los Alamos, New Mexico, pursuant to the Final Site-Wide Environmental Impact Statement for the Continued...

  9. EIS-0380: Amended Record of Decision | Department of Energy

    Energy Savers [EERE]

    Record of Decision Continued Operation of Los Alamos National Laboratory, Los Alamos, New Mexico The National Nuclear Security Administration (NNSA), a semi-autonomous agency...

  10. EIS-0380: Record of Decision | Department of Energy

    Energy Savers [EERE]

    of Decision: Site-Wide Environmental Impact Statement for Continued Operation of Los Alamos National Laboratory, Los Alamos, New Mexico, DOEEIS-0380 (September 2008) 73 FR 55833...

  11. DOE Secretarial Memorandum on Improved Decision Making through...

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

    the Secretary has signed a memorandum on "Improved Decision Making through the Integration of Program and Project Management with National Environmental Policy Act...

  12. Binary Decision Rules for Multistage Adaptive Mixed-Integer ...

    E-Print Network [OSTI]

    2014-08-20T23:59:59.000Z

    Aug 20, 2014 ... In the first test series, we compared the performance of the binary decision rules versus the non- ..... involving indicator functions is NP-hard.

  13. Memorandum of Decision: Withdrawal of Waiver for Fluorescent...

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

    & Publications Nationwide Categorical Waiver Memorandum of Decision: Withdrawal of LED Lighting Waiver ISSUANCE 2014-12-29: Energy Conservation Program: Clarification for...

  14. Assessment of New Approaches in Geothermal Exploration Decision...

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

    Assessment of New Approaches in Geothermal Exploration Decision Making Preprint Sertac Akar and Katherine R. Young National Renewable Energy Laboratory Presented at the Fourtieth...

  15. automated clinical decision: Topics by E-print Network

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

    Sciences and Ecology Websites Summary: of these devices will rely on some form of automation and are designed to expedite the decision making process, Sheridan, & Wickens,...

  16. Applying Climate Information for Adaptation Decision-Making:...

    Open Energy Info (EERE)

    Applying Climate Information for Adaptation Decision-Making: A Guidance and Resource Document Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Applying Climate...

  17. analysis mesa decision: Topics by E-print Network

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

    An observation- based strategy relies Doyen, Laurent 5 Management decisions for cogeneration : a survey analysis MIT - DSpace Summary: This study explores the underlying...

  18. Modeling of Energy Production Decisions: An Alaska Oil Case Study

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    RR-08-26 Modeling of Energy Production Decisions: An Alaskarapid or gradual energy production in the future? • Doesnet social benefit from energy production and achieving a

  19. Data-driven resource allocation decisions : FEMA's disaster recovery centers

    E-Print Network [OSTI]

    Moline, Julia N. (Julia Nessa)

    2014-01-01T23:59:59.000Z

    Resource allocation decisions in post-disaster operations are challenging because of situational dynamics, insufficient information, organizational culture, political context, and urgency. We propose a methodology to create ...

  20. EIS-0369: Record of Decision and Floodplain Statement of Findings...

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

    Decision and Floodplain Statement of Findings Nevada Rail Alignment for the Disposal of Spent Nuclear Fuel and High-Level Radioactive Waste at Yucca Mountain, Nye County, Nevada...

  1. Optimization Online - Binary Decision Rules for Multistage Adaptive ...

    E-Print Network [OSTI]

    Dimitris Bertsimas

    2014-08-20T23:59:59.000Z

    Aug 20, 2014 ... ... decision rules that are highly scalable and achieve good quality solutions. ... Category 2: Applications -- OR and Management Sciences.

  2. Revision of Qualitative Multi-Attribute Decision Models Martin Znidarsic*

    E-Print Network [OSTI]

    Bohanec, Marko

    881 Revision of Qualitative Multi-Attribute Decision Models Martin Znidarsic* Marko Bohanec** Jozef Stefan Institute Department of Intelligent Systems Ljubljana, Slovenia *Email: martin.znidarsic

  3. Characterizing Uncertainty for Regional Climate Change Mitigation and Adaptation Decisions

    SciTech Connect (OSTI)

    Unwin, Stephen D.; Moss, Richard H.; Rice, Jennie S.; Scott, Michael J.

    2011-09-30T23:59:59.000Z

    This white paper describes the results of new research to develop an uncertainty characterization process to help address the challenges of regional climate change mitigation and adaptation decisions.

  4. Learned Human-in-the-Loop Decision Making

    E-Print Network [OSTI]

    Basso, Brandon

    2012-01-01T23:59:59.000Z

    Planning Problem Some smart quote Introduction Decision problems underpin nearly all activities in systems ranging from individual robots, to networked power grids.

  5. Risk-Averse Dynamic Programming for Markov Decision Processes

    E-Print Network [OSTI]

    Andrzej Ruszczynski

    2009-12-19T23:59:59.000Z

    Dec 19, 2009 ... Abstract: We introduce the concept of a Markov risk measure and we use it to formulate risk-averse control problems for two Markov decision ...

  6. Enforcement Guidance Supplement 99-03, Limitation of 10 CFR 830...

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

    function. These features included the following: (1) failure to perform required surveillance of Enforcement Guidance Supplement EGS 99-03 Appendix E - Operational Procedures...

  7. EIS-0082-S2: Notice of Intent to Prepare a Supplemental Environmental...

    Office of Environmental Management (EM)

    Precipitation Process at the Savannah River Site, Aiken, South Carolina The Department of Energy (DOE) intends to prepare a supplemental environmental impact statement (SEIS) on...

  8. EIS-0403-S1: EPA Notice of Availability of the Supplement to...

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

    EIS-0403-S1: EPA Notice of Availability of the Supplement to the Draft Programmatic Environmental Impact Statement Solar Energy Development in Six Southwestern States The...

  9. EIS-0403-S1: DOE and BLM Notice of Availability of the Supplement...

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

    DOE and BLM Notice of Availability of the Supplement to the Draft Programmatic Environmental Impact Statement Solar Energy Development in Six Southwestern States The...

  10. EIS-0288-S1: Notice of Intent to Prepare a Supplemental Environmental...

    Energy Savers [EERE]

    Notice of Intent to Prepare a Supplemental Environmental Impact Statement Production of Tritium in a Commercial Light Water Reactor For more information contact: Mr....

  11. EIS-0236-S4: DOE Notice of Availability of the Draft Supplemental...

    Office of Environmental Management (EM)

    DOE Notice of Availability of the Draft Supplemental Programmatic Environmental Impact Statement and Notice of Public Hearings EIS-0236-S4: DOE Notice of Availability of the Draft...

  12. EIS-0423-S1: EPA Notice of Availability of a Draft Supplemental...

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

    for the Long-Term Management and Storage of Elemental Mercury EPA announces the availability of the Draft Supplemental Environmental Impact Statement for the Long-Term...

  13. Microsoft Word - 2013_0129_BPAI5_S4_SupplementalCommentReport...

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

    that serves the Pacific Northwest through operating an extensive electric transmission system and marketing wholesale electrical power. The purpose of this report is to supplement...

  14. EIS-0250: Notice of Intent to Prepare a Supplement to the Environmenta...

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

    Supplement to the Environmental Impact Statement Geologic Repository for the Disposal of Spent Nuclear Fuel and High-level Radioactive Waste at Yucca Mountain, Nye County, Nevada...

  15. EIS-0283: Notice of Public Hearing on the Supplement to the Draft...

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

    hearing on the Supplement to the Draft Environmental Impact Statement on Surplus Plutonium Disposition. EIS-0283-NotPubHrg-1999.pdf More Documents & Publications EIS-0283:...

  16. EIS-0283-S2: Notice of Intent to Prepare a Supplemental Environmental...

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

    Surplus Plutonium Disposition at the Savannah River Site The U.S. Department of Energy (DOE) intends to prepare a Supplemental Environmental Impact Statement (SEIS) to evaluate the...

  17. EIS-0469: Notice of Intent to Prepare a Supplemental Draft Environment...

    Energy Savers [EERE]

    Intent to Prepare a Supplemental Draft Environmental Impact Statement Proposed Wilton IV Wind Energy Center Project, Burleigh County, North Dakota Western Area Power...

  18. Representing Asymmetric Decision Problems Using Coarse Valuations

    E-Print Network [OSTI]

    Liu, Liping; Shenoy, Prakash P.

    2004-04-01T23:59:59.000Z

    Support Systems 37 (2004) 119?135120 example of a highly asymmetric decision problem [15,22,23]. Joe is considering buying a 3-year-old Spartan sedan at a price of US$1000. The going rate for a similar car in the used car market is US$1100. Joe is unsure... of X and r is a payoff valuation of Y. Their combination, denoted by pC10r or rC10p, is a payoff valuation of Z=X[Y defined as follows: ?p C10 r??z??p?x??r?y?; ?1? where x and y are respectively the projection of z to X and Y, which are defined...

  19. Adaptive Peircean decision aid project summary assessments.

    SciTech Connect (OSTI)

    Senglaub, Michael E.

    2007-01-01T23:59:59.000Z

    This efforts objective was to identify and hybridize a suite of technologies enabling the development of predictive decision aids for use principally in combat environments but also in any complex information terrain. The technologies required included formal concept analysis for knowledge representation and information operations, Peircean reasoning to support hypothesis generation, Mill's's canons to begin defining information operators that support the first two technologies and co-evolutionary game theory to provide the environment/domain to assess predictions from the reasoning engines. The intended application domain is the IED problem because of its inherent evolutionary nature. While a fully functioning integrated algorithm was not achieved the hybridization and demonstration of the technologies was accomplished and demonstration of utility provided for a number of ancillary queries.

  20. Risk, ambiguity and quantum decision theory

    E-Print Network [OSTI]

    Riccardo Franco

    2007-11-06T23:59:59.000Z

    In the present article we use the quantum formalism to describe the effects of risk and ambiguity in decision theory. The main idea is that the probabilities in the classic theory of expected utility are estimated probabilities, and thus do not follow the classic laws of probability theory. In particular, we show that it is possible to use consistently the classic expected utility formula, where the probability associated to the events are computed with the equation of quantum interference. Thus we show that the correct utility of a lottery can be simply computed by adding to the classic expected utility a new corrective term, the uncertainty utility, directly connected with the quantum interference term.

  1. analyses defense nuclear: Topics by E-print Network

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

    analyses defense nuclear First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Global Analyses of Nuclear...

  2. FAQS Job Task Analyses- DOE Aviation Safety Officer

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  3. FAQS Job Task Analyses- Confinement Ventilation and Process Gas Treatment

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  4. FAQS Job Task Analyses- Nuclear Explosive Safety Study

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  5. accident sequence analyses: Topics by E-print Network

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

    accident sequence analyses First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Analysing Aviation Accidents...

  6. Public involvement in radioactive waste management decisions

    SciTech Connect (OSTI)

    NONE

    1994-04-01T23:59:59.000Z

    Current repository siting efforts focus on Yucca Mountain, Nevada, where DOE`s Office of Civilian Radioactive Waste Management (OCRWM) is conducting exploratory studies to determine if the site is suitable. The state of Nevada has resisted these efforts: it has denied permits, brought suit against DOE, and publicly denounced the federal government`s decision to study Yucca Mountain. The state`s opposition reflects public opinion in Nevada, and has considerably slowed DOE`s progress in studying the site. The Yucca Mountain controversy demonstrates the importance of understanding public attitudes and their potential influence as DOE develops a program to manage radioactive waste. The strength and nature of Nevada`s opposition -- its ability to thwart if not outright derail DOE`s activities -- indicate a need to develop alternative methods for making decisions that affect the public. This report analyzes public participation as a key component of this openness, one that provides a means of garnering acceptance of, or reducing public opposition to, DOE`s radioactive waste management activities, including facility siting and transportation. The first section, Public Perceptions: Attitudes, Trust, and Theory, reviews the risk-perception literature to identify how the public perceives the risks associated with radioactivity. DOE and the Public discusses DOE`s low level of credibility among the general public as the product, in part, of the department`s past actions. This section looks at the three components of the radioactive waste management program -- disposal, storage, and transportation -- and the different ways DOE has approached the problem of public confidence in each case. Midwestern Radioactive Waste Management Histories focuses on selected Midwestern facility-siting and transportation activities involving radioactive materials.

  7. Measure Guideline: Supplemental Dehumidification in Warm-Humid Climates

    SciTech Connect (OSTI)

    Rudd, A.

    2014-10-01T23:59:59.000Z

    This document covers a description of the need and applied solutions for supplemental dehumidification in warm-humid climates, especially for energy efficient homes where the sensible cooling load has been dramatically reduced. In older homes in warm-humid climates, cooling loads are typically high and cooling equipment runs a lot to cool the air. The cooling process also removes indoor moisture, reducing indoor relative humidity. However, at current residential code levels, and especially for above-code programs, sensible cooling loads have been so dramatically reduced that the cooling system does not run a lot to cool the air, resulting in much less moisture being removed. In these new homes, cooling equipment is off for much longer periods of time especially during spring/fall seasons, summer shoulder months, rainy periods, some summer nights, and some winter days. In warm-humid climates, those long off periods allow indoor humidity to become elevated due to internally generated moisture and ventilation air change. Elevated indoor relative humidity impacts comfort, indoor air quality, and building material durability. Industry is responding with supplemental dehumidification options, but that effort is really in its infancy regarding year-round humidity control in low-energy homes. Available supplemental humidity control options are discussed. Some options are less expensive but may not control indoor humidity as well as more expensive and comprehensive options. The best performing option is one that avoids overcooling and avoids adding unnecessary heat to the space by using waste heat from the cooling system to reheat the cooled and dehumidified air to room-neutral temperature.

  8. Simple intrinsic defects in GaAs : numerical supplement.

    SciTech Connect (OSTI)

    Schultz, Peter Andrew

    2012-04-01T23:59:59.000Z

    This Report presents numerical tables summarizing properties of intrinsic defects in gallium arsenide, GaAs, as computed by density functional theory. This Report serves as a numerical supplement to the results published in: P.A. Schultz and O.A. von Lilienfeld, 'Simple intrinsic defects in GaAs', Modelling Simul. Mater. Sci Eng., Vol. 17, 084007 (2009), and intended for use as reference tables for a defect physics package in device models. The numerical results for density functional theory calculations of properties of simple intrinsic defects in gallium arsenide are presented.

  9. Supplement 16, Parasite-Subject Catalogue: Parasites: Protozoa 

    E-Print Network [OSTI]

    Segal, Dorothy B.; Humphrey, Judith M.; Beard, Mary I.; Edwards, Shirley J.; Kirby, Margie D.

    1966-01-01T23:59:59.000Z

    -Subject Catalogues, contain- ing indices to the author references, are being issued. The Author Catalogue continues the format of previous supplements. The users should note that for each reference in the Author Catalogue, the author (s) plus the date..., ?. ; and Hammond, D. ?., 1964 a Theodorides, J., [i960 d], 29 Bauer, 0. N., [1949 b], I58 mt: C. nanum nov. sp. Bauer, 0. N., [1949 b], I58, 162, 1?4, fig. Lena river M?hr, J. L.; Geiger, S. R.; and Brahm, C., I96I ? Amaro, ?., ?963 b, 4...

  10. EIS-0308-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartment ofFinalRecord

  11. EIS-0309-SA-02: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartment ofFinalRecordEnergy

  12. EIS-0312-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartmentRecord ofAmended:

  13. EIS-0312-SA-02: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartmentRecord ofAmended:2:

  14. EIS-0312-SA-03: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01: SupplementDraftDepartmentRecord ofAmended:2:3:

  15. EIS-0315-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement Analysis EIS-0315-SA-01:

  16. EIS-0317-S1: Draft Supplemental Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement Analysis EIS-0315-SA-01:of

  17. EIS-0317-S1: Final Supplemental Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement Analysis EIS-0315-SA-01:ofof

  18. EIS-0323-S1: Draft Supplement Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: Supplement AnalysisRecord of19:

  19. EIS-0332-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: SupplementFinal Environmental

  20. EIS-0337-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: SupplementFinalRecord ofFinal

  1. EIS-0340-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01: SupplementFinalRecordStatement |

  2. EIS-0348-SA-03: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01:Draft EnvrionmentalLaboratory This supplement

  3. EIS-0350-S1: Draft Supplemental Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F,-SA-01:5-SA-01:Draftof Energy Draft Supplemental

  4. EIS-0407-SA-01: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised FindingDepartment of Energy :toStatementStatement |07-SA-01: Supplement

  5. EA-1792-S1: Draft Supplemental Environmental Assessment | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJuly 2011D APPENDIXKahukuCounty, NV |Energy Draft Supplemental

  6. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear21Company LevelInput Supplemental

  7. New York Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(Billion CubicProductionFoot)Input Supplemental

  8. North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office(BillionYear Jan Feb Mar Apr May1.878Input Supplemental

  9. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecade Year-0 Year-1Year% ofInput Supplemental Fuels

  10. EIS-0246-SA-33: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record| DepartmentRecord1::3: Supplement

  11. EIS-0246-SA-34: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record| DepartmentRecord1::3: Supplement4:

  12. EIS-0246-SA-36: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record| DepartmentRecord1::3:6: Supplement

  13. EIS-0265-SA-101: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE: Record|DepartmentMulti-Purpose1: Supplement

  14. EIS-0265-SA-168: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis EIS-0265-SA-168:

  15. EIS-0265-SA-169: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis EIS-0265-SA-168:9:

  16. EIS-0265-SA-170: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis

  17. EIS-0265-SA-91: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:

  18. EIS-0265-SA-99: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement Analysis8:2:

  19. EIS-0281-SA-01: Supplemental Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:

  20. EIS-0283-S2: Draft Supplemental Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:2:Departmentof Energy

  1. EIS-0283-S2: Final Supplemental Environmental Impact Statement | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8: Supplement4:2:DepartmentofEnvironmentalof

  2. EIS-0285-SA-109: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact StatementDepartment9: Supplement

  3. EIS-0285-SA-110: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact StatementDepartment9: Supplement0:

  4. EIS-0285-SA-112: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact StatementDepartment9:2: Supplement

  5. EIS-0285-SA-121: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis

  6. EIS-0285-SA-123: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:

  7. EIS-0285-SA-124: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:

  8. EIS-0285-SA-125: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:5:

  9. EIS-0285-SA-126: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:5:6:

  10. EIS-0285-SA-127: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:5:6:7:

  11. EIS-0285-SA-128: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:5:6:7:8:

  12. EIS-0285-SA-129: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement Analysis2:4:5:6:7:8:9:

  13. EIS-0285-SA-130: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement

  14. EIS-0285-SA-140: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:

  15. EIS-0285-SA-147: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:

  16. EIS-0285-SA-30: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8:

  17. EIS-0285-SA-450: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8:8:

  18. EIS-0285-SA-451: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1: Supplement2:1:8:8:Transmission

  19. EIS-0285-SA-453: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1:Transmission System3: Supplement

  20. EIS-0285-SA-80: Supplement Analysis | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22,EERE:8:Impact1:Transmission0: Supplement Analysis