National Library of Energy BETA

Sample records for regulatory uncertainties vary

  1. Model uncertainty from a regulatory point of view

    SciTech Connect

    Abramson, L.R.

    1994-10-01

    This paper discusses model uncertainty in the larger context of knowledge and random uncertainty. It explores some regulatory implications of model uncertainty and argues that, from a regulator`s perspective, a conservative approach must be taken. As a consequence of this perspective, averaging over model results is ruled out.

  2. Assessing Fatigue and Ultimate Load Uncertainty in Floating Offshore Wind Turbines Due to Varying Simulation Length

    SciTech Connect

    Stewart, G.; Lackner, M.; Haid, L.; Matha, D.; Jonkman, J.; Robertson, A.

    2013-07-01

    With the push towards siting wind turbines farther offshore due to higher wind quality and less visibility, floating offshore wind turbines, which can be located in deep water, are becoming an economically attractive option. The International Electrotechnical Commission's (IEC) 61400-3 design standard covers fixed-bottom offshore wind turbines, but there are a number of new research questions that need to be answered to modify these standards so that they are applicable to floating wind turbines. One issue is the appropriate simulation length needed for floating turbines. This paper will discuss the results from a study assessing the impact of simulation length on the ultimate and fatigue loads of the structure, and will address uncertainties associated with changing the simulation length for the analyzed floating platform. Recommendations of required simulation length based on load uncertainty will be made and compared to current simulation length requirements.

  3. Assessing Climate Uncertainty

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

    Climate Uncertainty The uncertainty in climate change and in its impacts is of great concern to the international community. While the ever-growing body of scientific evidence ...

  4. Regulatory Tools

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

    Regulatory Tools Home CRA - 2004 Final Recertification Decision CRA Comments & Responses CCA - 1996 CRA CARDs & TSDs CCA CARDs & TSDs Regulatory Tools Title 40 CFR Part 191 Environmental Radiation Protection Standards for Management and Disposal of Spent Nuclear Fuel, High-Level and Transuranic Radioactive Wastes. Title 40 CFR Part 194 Criteria for the Certification and Re-Certification of the Waste Isolation Pilot Plant's Compliance With the 40 CFR Part 191 Disposal Regulations.

  5. Sensitivity and Uncertainty Analysis

    Energy.gov [DOE]

    Summary Notes from 15 November 2007 Generic Technical Issue Discussion on Sensitivity and Uncertainty Analysis and Model Support

  6. Direct Aerosol Forcing Uncertainty

    DOE Data Explorer

    Mccomiskey, Allison

    2008-01-15

    Understanding sources of uncertainty in aerosol direct radiative forcing (DRF), the difference in a given radiative flux component with and without aerosol, is essential to quantifying changes in Earth's radiation budget. We examine the uncertainty in DRF due to measurement uncertainty in the quantities on which it depends: aerosol optical depth, single scattering albedo, asymmetry parameter, solar geometry, and surface albedo. Direct radiative forcing at the top of the atmosphere and at the surface as well as sensitivities, the changes in DRF in response to unit changes in individual aerosol or surface properties, are calculated at three locations representing distinct aerosol types and radiative environments. The uncertainty in DRF associated with a given property is computed as the product of the sensitivity and typical measurement uncertainty in the respective aerosol or surface property. Sensitivity and uncertainty values permit estimation of total uncertainty in calculated DRF and identification of properties that most limit accuracy in estimating forcing. Total uncertainties in modeled local diurnally averaged forcing range from 0.2 to 1.3 W m-2 (42 to 20%) depending on location (from tropical to polar sites), solar zenith angle, surface reflectance, aerosol type, and aerosol optical depth. The largest contributor to total uncertainty in DRF is usually single scattering albedo; however decreasing measurement uncertainties for any property would increase accuracy in DRF. Comparison of two radiative transfer models suggests the contribution of modeling error is small compared to the total uncertainty although comparable to uncertainty arising from some individual properties.

  7. Uncertainty quantification approaches for advanced reactor analyses.

    SciTech Connect

    Briggs, L. L.; Nuclear Engineering Division

    2009-03-24

    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.

  8. Nuclear Safety Regulatory Framework

    Energy.gov [DOE] (indexed site)

    Department of Energy Nuclear Safety Regulatory Framework DOE's Nuclear Safety Enabling Legislation Regulatory Enforcement & Oversight Regulatory Governance Atomic Energy Act 1946 ...

  9. Uncertainty in gridded CO2 emissions estimates

    DOE PAGES [OSTI]

    Hogue, Susannah; Marland, Eric; Andres, Robert J.; Marland, Gregg; Woodard, Dawn

    2016-05-19

    We are interested in the spatial distribution of fossil-fuel-related emissions of CO2 for both geochemical and geopolitical reasons, but it is important to understand the uncertainty that exists in spatially explicit emissions estimates. Working from one of the widely used gridded data sets of CO2 emissions, we examine the elements of uncertainty, focusing on gridded data for the United States at the scale of 1° latitude by 1° longitude. Uncertainty is introduced in the magnitude of total United States emissions, the magnitude and location of large point sources, the magnitude and distribution of non-point sources, and from the use ofmore » proxy data to characterize emissions. For the United States, we develop estimates of the contribution of each component of uncertainty. At 1° resolution, in most grid cells, the largest contribution to uncertainty comes from how well the distribution of the proxy (in this case population density) represents the distribution of emissions. In other grid cells, the magnitude and location of large point sources make the major contribution to uncertainty. Uncertainty in population density can be important where a large gradient in population density occurs near a grid cell boundary. Uncertainty is strongly scale-dependent with uncertainty increasing as grid size decreases. In conclusion, uncertainty for our data set with 1° grid cells for the United States is typically on the order of ±150%, but this is perhaps not excessive in a data set where emissions per grid cell vary over 8 orders of magnitude.« less

  10. Physical Uncertainty Bounds (PUB)

    SciTech Connect

    Vaughan, Diane Elizabeth; Preston, Dean L.

    2015-03-19

    This paper introduces and motivates the need for a new methodology for determining upper bounds on the uncertainties in simulations of engineered systems due to limited fidelity in the composite continuum-level physics models needed to simulate the systems. We show that traditional uncertainty quantification methods provide, at best, a lower bound on this uncertainty. We propose to obtain bounds on the simulation uncertainties by first determining bounds on the physical quantities or processes relevant to system performance. By bounding these physics processes, as opposed to carrying out statistical analyses of the parameter sets of specific physics models or simply switching out the available physics models, one can obtain upper bounds on the uncertainties in simulated quantities of interest.

  11. Measurement uncertainty relations

    SciTech Connect

    Busch, Paul; Lahti, Pekka; Werner, Reinhard F.

    2014-04-15

    Measurement uncertainty relations are quantitative bounds on the errors in an approximate joint measurement of two observables. They can be seen as a generalization of the error/disturbance tradeoff first discussed heuristically by Heisenberg. Here we prove such relations for the case of two canonically conjugate observables like position and momentum, and establish a close connection with the more familiar preparation uncertainty relations constraining the sharpness of the distributions of the two observables in the same state. Both sets of relations are generalized to means of order ? rather than the usual quadratic means, and we show that the optimal constants are the same for preparation and for measurement uncertainty. The constants are determined numerically and compared with some bounds in the literature. In both cases, the near-saturation of the inequalities entails that the state (resp. observable) is uniformly close to a minimizing one.

  12. Probabilistic accident consequence uncertainty analysis: Food chain uncertainty assessment. Volume 1: Main report

    SciTech Connect

    Brown, J.; Goossens, L.H.J.; Kraan, B.C.P.

    1997-06-01

    This volume is the first of a two-volume document that summarizes a joint project conducted by the US Nuclear Regulatory Commission and the European Commission to assess uncertainties in the MACCS and COSYMA probabilistic accident consequence codes. These codes were developed primarily for estimating the risks presented by nuclear reactors based on postulated frequencies and magnitudes of potential accidents. This document reports on an ongoing project to assess uncertainty in the MACCS and COSYMA calculations for the offsite consequences of radionuclide releases by hypothetical nuclear power plant accidents. A panel of sixteen experts was formed to compile credible and traceable uncertainty distributions for food chain variables that affect calculations of offsite consequences. The expert judgment elicitation procedure and its outcomes are described in these volumes. Other panels were formed to consider uncertainty in other aspects of the codes. Their results are described in companion reports. Volume 1 contains background information and a complete description of the joint consequence uncertainty study. Volume 2 contains appendices that include (1) a summary of the MACCS and COSYMA consequence codes, (2) the elicitation questionnaires and case structures for both panels, (3) the rationales and results for the panels on soil and plant transfer and animal transfer, (4) short biographies of the experts, and (5) the aggregated results of their responses.

  13. Calibration Under Uncertainty.

    SciTech Connect

    Swiler, Laura Painton; Trucano, Timothy Guy

    2005-03-01

    This report is a white paper summarizing the literature and different approaches to the problem of calibrating computer model parameters in the face of model uncertainty. Model calibration is often formulated as finding the parameters that minimize the squared difference between the model-computed data (the predicted data) and the actual experimental data. This approach does not allow for explicit treatment of uncertainty or error in the model itself: the model is considered the %22true%22 deterministic representation of reality. While this approach does have utility, it is far from an accurate mathematical treatment of the true model calibration problem in which both the computed data and experimental data have error bars. This year, we examined methods to perform calibration accounting for the error in both the computer model and the data, as well as improving our understanding of its meaning for model predictability. We call this approach Calibration under Uncertainty (CUU). This talk presents our current thinking on CUU. We outline some current approaches in the literature, and discuss the Bayesian approach to CUU in detail.

  14. Estimation of uncertainty for contour method residual stress measurements

    SciTech Connect

    Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.

    2014-12-03

    This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulness of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 76 mm, the estimated uncertainty was approximately 5 MPa (?/E = 7 10??) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (?/E = 14 10??).

  15. Estimation of uncertainty for contour method residual stress measurements

    SciTech Connect

    Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.

    2014-12-03

    This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulness of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 × 76 mm, the estimated uncertainty was approximately 5 MPa (σ/E = 7 · 10⁻⁵) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (σ/E = 14 · 10⁻⁵).

  16. Estimation of uncertainty for contour method residual stress measurements

    DOE PAGES [OSTI]

    Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.

    2014-12-03

    This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulnessmore » of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 × 76 mm, the estimated uncertainty was approximately 5 MPa (σ/E = 7 · 10⁻⁵) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (σ/E = 14 · 10⁻⁵).« less

  17. Uncertainties in risk assessment at USDOE facilities

    SciTech Connect

    Hamilton, L.D.; Holtzman, S.; Meinhold, A.F.; Morris, S.C.; Rowe, M.D.

    1994-01-01

    The United States Department of Energy (USDOE) has embarked on an ambitious program to remediate environmental contamination at its facilities. Decisions concerning cleanup goals, choices among cleanup technologies, and funding prioritization should be largely risk-based. Risk assessments will be used more extensively by the USDOE in the future. USDOE needs to develop and refine risk assessment methods and fund research to reduce major sources of uncertainty in risk assessments at USDOE facilities. The terms{open_quote} risk assessment{close_quote} and{open_quote} risk management{close_quote} are frequently confused. The National Research Council (1983) and the United States Environmental Protection Agency (USEPA, 1991a) described risk assessment as a scientific process that contributes to risk management. Risk assessment is the process of collecting, analyzing and integrating data and information to identify hazards, assess exposures and dose responses, and characterize risks. Risk characterization must include a clear presentation of {open_quotes}... the most significant data and uncertainties...{close_quotes} in an assessment. Significant data and uncertainties are {open_quotes}...those that define and explain the main risk conclusions{close_quotes}. Risk management integrates risk assessment information with other considerations, such as risk perceptions, socioeconomic and political factors, and statutes, to make and justify decisions. Risk assessments, as scientific processes, should be made independently of the other aspects of risk management (USEPA, 1991a), but current methods for assessing health risks are based on conservative regulatory principles, causing unnecessary public concern and misallocation of funds for remediation.

  18. Entropic uncertainty relations and entanglement

    SciTech Connect

    Guehne, Otfried; Lewenstein, Maciej

    2004-08-01

    We discuss the relationship between entropic uncertainty relations and entanglement. We present two methods for deriving separability criteria in terms of entropic uncertainty relations. In particular, we show how any entropic uncertainty relation on one part of the system results in a separability condition on the composite system. We investigate the resulting criteria using the Tsallis entropy for two and three qubits.

  19. Nuclear Safety Regulatory Framework

    Energy.gov [DOE]

    Presentation that outlines the rules, policies and orders that comprise the Department of Energy Nuclear Safety Regulatory Framework

  20. Reducing Regulatory Burden

    Energy.gov [DOE]

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’

  1. Nuclear Safety Regulatory Framework

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

    Department of Energy Nuclear Safety Regulatory Framework DOE's Nuclear Safety Enabling Legislation Regulatory Enforcement & Oversight Regulatory Governance Atomic Energy Act 1946 Atomic Energy Act 1954 Energy Reorganization Act 1974 DOE Act 1977 Authority and responsibility to regulate nuclear safety at DOE facilities 10 CFR 830 10 CFR 835 10 CFR 820 Regulatory Implementation Nuclear Safety Radiological Safety Procedural Rules ISMS-QA; Operating Experience; Metrics and Analysis Cross Cutting

  2. Other Regulatory Efforts

    Energy.gov [DOE]

    In addition to regulating international electricity trade, the Office of Electricity Delivery and Energy Reliability participates in other regulatory activities.

  3. Uncertainty Analysis for RELAP5-3D

    SciTech Connect

    Aaron J. Pawel; Dr. George L. Mesina

    2011-08-01

    In its current state, RELAP5-3D is a 'best-estimate' code; it is one of our most reliable programs for modeling what occurs within reactor systems in transients from given initial conditions. This code, however, remains an estimator. A statistical analysis has been performed that begins to lay the foundation for a full uncertainty analysis. By varying the inputs over assumed probability density functions, the output parameters were shown to vary. Using such statistical tools as means, variances, and tolerance intervals, a picture of how uncertain the results are based on the uncertainty of the inputs has been obtained.

  4. Strategies for Application of Isotopic Uncertainties in Burnup Credit

    SciTech Connect

    Gauld, I.C.

    2002-12-23

    Uncertainties in the predicted isotopic concentrations in spent nuclear fuel represent one of the largest sources of overall uncertainty in criticality calculations that use burnup credit. The methods used to propagate the uncertainties in the calculated nuclide concentrations to the uncertainty in the predicted neutron multiplication factor (k{sub eff}) of the system can have a significant effect on the uncertainty in the safety margin in criticality calculations and ultimately affect the potential capacity of spent fuel transport and storage casks employing burnup credit. Methods that can provide a more accurate and realistic estimate of the uncertainty may enable increased spent fuel cask capacity and fewer casks needing to be transported, thereby reducing regulatory burden on licensee while maintaining safety for transporting spent fuel. This report surveys several different best-estimate strategies for considering the effects of nuclide uncertainties in burnup-credit analyses. The potential benefits of these strategies are illustrated for a prototypical burnup-credit cask design. The subcritical margin estimated using best-estimate methods is discussed in comparison to the margin estimated using conventional bounding methods of uncertainty propagation. To quantify the comparison, each of the strategies for estimating uncertainty has been performed using a common database of spent fuel isotopic assay measurements for pressurized-light-water reactor fuels and predicted nuclide concentrations obtained using the current version of the SCALE code system. The experimental database applied in this study has been significantly expanded to include new high-enrichment and high-burnup spent fuel assay data recently published for a wide range of important burnup-credit actinides and fission products. Expanded rare earth fission-product measurements performed at the Khlopin Radium Institute in Russia that contain the only known publicly-available measurement for {sup 103

  5. Cassini Spacecraft Uncertainty Analysis Data and Methodology Review and Update/Volume 1: Updated Parameter Uncertainty Models for the Consequence Analysis

    SciTech Connect

    WHEELER, TIMOTHY A.; WYSS, GREGORY D.; HARPER, FREDERICK T.

    2000-11-01

    Uncertainty distributions for specific parameters of the Cassini General Purpose Heat Source Radioisotope Thermoelectric Generator (GPHS-RTG) Final Safety Analysis Report consequence risk analysis were revised and updated. The revisions and updates were done for all consequence parameters for which relevant information exists from the joint project on Probabilistic Accident Consequence Uncertainty Analysis by the United States Nuclear Regulatory Commission and the Commission of European Communities.

  6. Uncertainty quantification and multiscale mathematics. (Conference...

    Office of Scientific and Technical Information (OSTI)

    Uncertainty quantification and multiscale mathematics. Citation Details In-Document Search Title: Uncertainty quantification and multiscale mathematics. No abstract prepared. ...

  7. Environmental regulatory update table

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. FPCC Regulatory Barriers Submittal

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Federal Performance Contracting Coalition (FPCC) appreciates the opportunity to comment on reducing regulatory burdens on the Federal government, specifically as they pertain to federal energy...

  9. Probabilistic accident consequence uncertainty analysis -- Uncertainty assessment for internal dosimetry. Volume 2: Appendices

    SciTech Connect

    Goossens, L.H.J.; Kraan, B.C.P.; Cooke, R.M.; Harrison, J.D.; Harper, F.T.; Hora, S.C.

    1998-04-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, was completed in 1990. These codes estimate the consequence from the accidental releases of radiological material from hypothesized accidents at nuclear installations. In 1991, the US Nuclear Regulatory Commission and the Commission of the European Communities began cosponsoring a joint uncertainty analysis of the two codes. The ultimate objective of this joint effort was to systematically develop credible and traceable uncertainty distributions for the respective code input variables. A formal expert judgment elicitation and evaluation process was identified as the best technology available for developing a library of uncertainty distributions for these consequence parameters. This report focuses on the results of the study to develop distribution for variables related to the MACCS and COSYMA internal dosimetry models. This volume contains appendices that include (1) a summary of the MACCS and COSYMA consequence codes, (2) the elicitation questionnaires and case structures, (3) the rationales and results for the panel on internal dosimetry, (4) short biographies of the experts, and (5) the aggregated results of their responses.

  10. Probabilistic accident consequence uncertainty analysis -- Early health effects uncertainty assessment. Volume 2: Appendices

    SciTech Connect

    Haskin, F.E.; Harper, F.T.; Goossens, L.H.J.; Kraan, B.C.P.

    1997-12-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, was completed in 1990. These codes estimate the consequence from the accidental releases of radiological material from hypothesized accidents at nuclear installations. In 1991, the US Nuclear Regulatory Commission and the Commission of the European Communities began cosponsoring a joint uncertainty analysis of the two codes. The ultimate objective of this joint effort was to systematically develop credible and traceable uncertainty distributions for the respective code input variables. A formal expert judgment elicitation and evaluation process was identified as the best technology available for developing a library of uncertainty distributions for these consequence parameters. This report focuses on the results of the study to develop distribution for variables related to the MACCS and COSYMA early health effects models. This volume contains appendices that include (1) a summary of the MACCS and COSYMA consequence codes, (2) the elicitation questionnaires and case structures, (3) the rationales and results for the panel on early health effects, (4) short biographies of the experts, and (5) the aggregated results of their responses.

  11. Uncertainty in Integrated Assessment Scenarios

    SciTech Connect

    Mort Webster

    2005-10-17

    The determination of climate policy is a decision under uncertainty. The uncertainty in future climate change impacts is large, as is the uncertainty in the costs of potential policies. Rational and economically efficient policy choices will therefore seek to balance the expected marginal costs with the expected marginal benefits. This approach requires that the risks of future climate change be assessed. The decision process need not be formal or quantitative for descriptions of the risks to be useful. Whatever the decision procedure, a useful starting point is to have as accurate a description of climate risks as possible. Given the goal of describing uncertainty in future climate change, we need to characterize the uncertainty in the main causes of uncertainty in climate impacts. One of the major drivers of uncertainty in future climate change is the uncertainty in future emissions, both of greenhouse gases and other radiatively important species such as sulfur dioxide. In turn, the drivers of uncertainty in emissions are uncertainties in the determinants of the rate of economic growth and in the technologies of production and how those technologies will change over time. This project uses historical experience and observations from a large number of countries to construct statistical descriptions of variability and correlation in labor productivity growth and in AEEI. The observed variability then provides a basis for constructing probability distributions for these drivers. The variance of uncertainty in growth rates can be further modified by expert judgment if it is believed that future variability will differ from the past. But often, expert judgment is more readily applied to projected median or expected paths through time. Analysis of past variance and covariance provides initial assumptions about future uncertainty for quantities that are less intuitive and difficult for experts to estimate, and these variances can be normalized and then applied to mean

  12. Quantifying uncertainty in stable isotope mixing models

    SciTech Connect

    Davis, Paul; Syme, James; Heikoop, Jeffrey; Fessenden-Rahn, Julianna; Perkins, George; Newman, Brent; Chrystal, Abbey E.; Hagerty, Shannon B.

    2015-05-19

    Mixing models are powerful tools for identifying biogeochemical sources and determining mixing fractions in a sample. However, identification of actual source contributors is often not simple, and source compositions typically vary or even overlap, significantly increasing model uncertainty in calculated mixing fractions. This study compares three probabilistic methods, SIAR [Parnell et al., 2010] a pure Monte Carlo technique (PMC), and Stable Isotope Reference Source (SIRS) mixing model, a new technique that estimates mixing in systems with more than three sources and/or uncertain source compositions. In this paper, we use nitrate stable isotope examples (?15N and ?18O) but all methods tested are applicable to other tracers. In Phase I of a three-phase blind test, we compared methods for a set of six-source nitrate problems. PMC was unable to find solutions for two of the target water samples. The Bayesian method, SIAR, experienced anchoring problems, and SIRS calculated mixing fractions that most closely approximated the known mixing fractions. For that reason, SIRS was the only approach used in the next phase of testing. In Phase II, the problem was broadened where any subset of the six sources could be a possible solution to the mixing problem. Results showed a high rate of Type I errors where solutions included sources that were not contributing to the sample. In Phase III some sources were eliminated based on assumed site knowledge and assumed nitrate concentrations, substantially reduced mixing fraction uncertainties and lowered the Type I error rate. These results demonstrate that valuable insights into stable isotope mixing problems result from probabilistic mixing model approaches like SIRS. The results also emphasize the importance of identifying a minimal set of potential sources and quantifying uncertainties in source isotopic composition as well as demonstrating the value of additional information in reducing the

  13. Quantifying uncertainty in stable isotope mixing models

    DOE PAGES [OSTI]

    Davis, Paul; Syme, James; Heikoop, Jeffrey; Fessenden-Rahn, Julianna; Perkins, George; Newman, Brent; Chrystal, Abbey E.; Hagerty, Shannon B.

    2015-05-19

    Mixing models are powerful tools for identifying biogeochemical sources and determining mixing fractions in a sample. However, identification of actual source contributors is often not simple, and source compositions typically vary or even overlap, significantly increasing model uncertainty in calculated mixing fractions. This study compares three probabilistic methods, SIAR [Parnell et al., 2010] a pure Monte Carlo technique (PMC), and Stable Isotope Reference Source (SIRS) mixing model, a new technique that estimates mixing in systems with more than three sources and/or uncertain source compositions. In this paper, we use nitrate stable isotope examples (δ15N and δ18O) but all methods testedmore » are applicable to other tracers. In Phase I of a three-phase blind test, we compared methods for a set of six-source nitrate problems. PMC was unable to find solutions for two of the target water samples. The Bayesian method, SIAR, experienced anchoring problems, and SIRS calculated mixing fractions that most closely approximated the known mixing fractions. For that reason, SIRS was the only approach used in the next phase of testing. In Phase II, the problem was broadened where any subset of the six sources could be a possible solution to the mixing problem. Results showed a high rate of Type I errors where solutions included sources that were not contributing to the sample. In Phase III some sources were eliminated based on assumed site knowledge and assumed nitrate concentrations, substantially reduced mixing fraction uncertainties and lowered the Type I error rate. These results demonstrate that valuable insights into stable isotope mixing problems result from probabilistic mixing model approaches like SIRS. The results also emphasize the importance of identifying a minimal set of potential sources and quantifying uncertainties in source isotopic composition as well as demonstrating the value of additional information in reducing the uncertainty in calculated

  14. Quantifying uncertainty in stable isotope mixing models

    SciTech Connect

    Davis, Paul; Syme, James; Heikoop, Jeffrey; Fessenden-Rahn, Julianna; Perkins, George; Newman, Brent; Chrystal, Abbey E.; Hagerty, Shannon B.

    2015-05-19

    Mixing models are powerful tools for identifying biogeochemical sources and determining mixing fractions in a sample. However, identification of actual source contributors is often not simple, and source compositions typically vary or even overlap, significantly increasing model uncertainty in calculated mixing fractions. This study compares three probabilistic methods, SIAR [Parnell et al., 2010] a pure Monte Carlo technique (PMC), and Stable Isotope Reference Source (SIRS) mixing model, a new technique that estimates mixing in systems with more than three sources and/or uncertain source compositions. In this paper, we use nitrate stable isotope examples (δ15N and δ18O) but all methods tested are applicable to other tracers. In Phase I of a three-phase blind test, we compared methods for a set of six-source nitrate problems. PMC was unable to find solutions for two of the target water samples. The Bayesian method, SIAR, experienced anchoring problems, and SIRS calculated mixing fractions that most closely approximated the known mixing fractions. For that reason, SIRS was the only approach used in the next phase of testing. In Phase II, the problem was broadened where any subset of the six sources could be a possible solution to the mixing problem. Results showed a high rate of Type I errors where solutions included sources that were not contributing to the sample. In Phase III some sources were eliminated based on assumed site knowledge and assumed nitrate concentrations, substantially reduced mixing fraction uncertainties and lowered the Type I error rate. These results demonstrate that valuable insights into stable isotope mixing problems result from probabilistic mixing model approaches like SIRS. The results also emphasize the importance of identifying a minimal set of potential sources and quantifying uncertainties in source isotopic composition as well as demonstrating the value of additional information in reducing the

  15. Probabilistic accident consequence uncertainty analysis: Dispersion and deposition uncertainty assessment, main report

    SciTech Connect

    Harper, F.T.; Young, M.L.; Miller, L.A.; Hora, S.C.; Lui, C.H.; Goossens, L.H.J.; Cooke, R.M.; Paesler-Sauer, J.; Helton, J.C.

    1995-01-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, was completed in 1990. These codes estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The ultimate objective of the joint effort was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. Experts developed their distributions independently. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. To validate the distributions generated for the dispersion code input variables, samples from the distributions and propagated through the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the first of a three-volume document describing the project.

  16. Probabilistic accident consequence uncertainty analysis: Dispersion and deposition uncertainty assessment, appendices A and B

    SciTech Connect

    Harper, F.T.; Young, M.L.; Miller, L.A.; Hora, S.C.; Lui, C.H.; Goossens, L.H.J.; Cooke, R.M.; Paesler-Sauer, J.; Helton, J.C.

    1995-01-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, completed in 1990, estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The objective was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation, developed independently, was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model along with the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the second of a three-volume document describing the project and contains two appendices describing the rationales for the dispersion and deposition data along with short biographies of the 16 experts who participated in the project.

  17. Experimental Approach to Controllably Vary Protein Oxidation...

    Office of Scientific and Technical Information (OSTI)

    Vary Protein Oxidation While Minimizing Electrode Adsorption for Boron-Doped Diamond ... Vary Protein Oxidation While Minimizing Electrode Adsorption for Boron-Doped Diamond ...

  18. Nuclear Regulatory Commission Regulatory and Licensing Matters | Department

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

    of Energy Regulatory Commission Regulatory and Licensing Matters Nuclear Regulatory Commission Regulatory and Licensing Matters GC-52 provides legal advice to DOE regarding Nuclear Regulatory Commission (NRC) regulatory and licensing matters of interest to DOE, either as an NRC license applicant or in connection with related authorities and responsibilities of DOE and NRC on nuclear material, nuclear waste, and nuclear nonproliferation matters. GC-52 attorneys provide advice and support on a

  19. Phenylpropanoid related regulatory protein-regulatory region associations

    DOEpatents

    Apuya, Nestor; Bobzin, Steven Craig; Park, Joon-Hyun; Doukhanina, Elena

    2012-01-03

    Materials and methods for identifying lignin regulatory region-regulatory protein associations are disclosed. Materials and methods for modulating lignin accumulation are also disclosed.

  20. Reducing Regulatory Burden | Department of Energy

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

    Request for information on reducing regulatory burden Reducing Regulatory Burden (177.64 KB) More Documents & Publications Reducing Regulatory Burden Reducing Regulatory Burden

  1. Uncertainty in Simulating Wheat Yields Under Climate Change

    SciTech Connect

    Asseng, S.; Ewert, F.; Rosenzweig, C.; Jones, J.W.; Hatfield, Jerry; Ruane, Alex; Boote, K. J.; Thorburn, Peter; Rotter, R.P.; Cammarano, D.; Brisson, N.; Basso, B.; Martre, P.; Aggarwal, P.K.; Angulo, C.; Bertuzzi, P.; Biernath, C.; Challinor, AJ; Doltra, J.; Gayler, S.; Goldberg, R.; Grant, Robert; Heng, L.; Hooker, J.; Hunt, L.A.; Ingwersen, J.; Izaurralde, Roberto C.; Kersebaum, K.C.; Mueller, C.; Naresh Kumar, S.; Nendel, C.; O'Leary, G.O.; Olesen, JE; Osborne, T.; Palosuo, T.; Priesack, E.; Ripoche, D.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stockle, Claudio O.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.; Travasso, M.; Waha, K.; Wallach, D.; White, J.W.; Williams, J.R.; Wolf, J.

    2013-09-01

    Anticipating the impacts of climate change on crop yields is critical for assessing future food security. Process-based crop simulation models are the most commonly used tools in such assessments1,2. Analysis of uncertainties in future greenhouse gas emissions and their impacts on future climate change has been increasingly described in the literature3,4 while assessments of the uncertainty in crop responses to climate change are very rare. Systematic and objective comparisons across impact studies is difficult, and thus has not been fully realized5. Here we present the largest coordinated and standardized crop model intercomparison for climate change impacts on wheat production to date. We found that several individual crop models are able to reproduce measured grain yields under current diverse environments, particularly if sufficient details are provided to execute them. However, simulated climate change impacts can vary across models due to differences in model structures and algorithms. The crop-model component of uncertainty in climate change impact assessments was considerably larger than the climate-model component from Global Climate Models (GCMs). Model responses to high temperatures and temperature-by-CO2 interactions are identified as major sources of simulated impact uncertainties. Significant reductions in impact uncertainties through model improvements in these areas and improved quantification of uncertainty through multi-model ensembles are urgently needed for a more reliable translation of climate change scenarios into agricultural impacts in order to develop adaptation strategies and aid policymaking.

  2. LCOE Uncertainty Analysis for Hydropower using Monte Carlo Simulations

    SciTech Connect

    Chalise, Dol Raj; O'Connor, Patrick W; DeNeale, Scott T; Uria Martinez, Rocio; Kao, Shih-Chieh

    2015-01-01

    Levelized Cost of Energy (LCOE) is an important metric to evaluate the cost and performance of electricity production generation alternatives, and combined with other measures, can be used to assess the economics of future hydropower development. Multiple assumptions on input parameters are required to calculate the LCOE, which each contain some level of uncertainty, in turn affecting the accuracy of LCOE results. This paper explores these uncertainties, their sources, and ultimately the level of variability they introduce at the screening level of project evaluation for non-powered dams (NPDs) across the U.S. Owing to site-specific differences in site design, the LCOE for hydropower varies significantly from project to project unlike technologies with more standardized configurations such as wind and gas. Therefore, to assess the impact of LCOE input uncertainty on the economics of U.S. hydropower resources, these uncertainties must be modeled across the population of potential opportunities. To demonstrate the impact of uncertainty, resource data from a recent nationwide non-powered dam (NPD) resource assessment (Hadjerioua et al., 2012) and screening-level predictive cost equations (O Connor et al., 2015) are used to quantify and evaluate uncertainties in project capital and operations & maintenance costs, and generation potential at broad scale. LCOE dependence on financial assumptions is also evaluated on a sensitivity basis to explore ownership/investment implications on project economics for the U.S. hydropower fleet. The results indicate that the LCOE for U.S. NPDs varies substantially. The LCOE estimates for the potential NPD projects of capacity greater than 1 MW range from 40 to 182 $/MWh, with average of 106 $/MWh. 4,000 MW could be developed through projects with individual LCOE values below 100 $/MWh. The results also indicate that typically 90 % of LCOE uncertainty can be attributed to uncertainties in capital costs and energy production; however

  3. .Energy Project Regulatory Considerations

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

    Project Regulatory Considerations John Clancy Godfrey & Kahn, S.C. jclancy@gklaw.com Telephone: (414) 287-9256 August 31, 2016 Tribal Energy and Economic Development Webinar 1 Regulatory Issues and Opportunities * A number of federal laws and regulations apply to energy development activities on tribal lands * Federal laws, regulations, and Executive Orders apply to energy development activities * State laws and regulations largely do not apply to energy development on tribal lands *

  4. Report: Technical Uncertainty and Risk Reduction

    Office of Environmental Management (EM)

    TECHNICAL UNCERTAINTY AND RISK REDUCTION Background In FY 2007 EMAB was tasked to assess EM's ability to reduce risk and technical uncertainty. Board members explored this topic ...

  5. Uncertainty Analysis Technique for OMEGA Dante Measurements ...

    Office of Scientific and Technical Information (OSTI)

    Uncertainty Analysis Technique for OMEGA Dante Measurements Citation Details In-Document Search Title: Uncertainty Analysis Technique for OMEGA Dante Measurements You are...

  6. Reducing Petroleum Despendence in California: Uncertainties About...

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

    Petroleum Despendence in California: Uncertainties About Light-Duty Diesel Reducing Petroleum Despendence in California: Uncertainties About Light-Duty Diesel 2002 DEER Conference ...

  7. Building 9213 ? A long and varied history

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

    time of uncertainty and one where many changes were taking place. It was a time of rapid learning regarding the potential uses for uranium-235 and other nuclear materials...

  8. RUMINATIONS ON NDA MEASUREMENT UNCERTAINTY COMPARED TO DA UNCERTAINTY

    SciTech Connect

    Salaymeh, S.; Ashley, W.; Jeffcoat, R.

    2010-06-17

    It is difficult to overestimate the importance that physical measurements performed with nondestructive assay instruments play throughout the nuclear fuel cycle. They underpin decision making in many areas and support: criticality safety, radiation protection, process control, safeguards, facility compliance, and waste measurements. No physical measurement is complete or indeed meaningful, without a defensible and appropriate accompanying statement of uncertainties and how they combine to define the confidence in the results. The uncertainty budget should also be broken down in sufficient detail suitable for subsequent uses to which the nondestructive assay (NDA) results will be applied. Creating an uncertainty budget and estimating the total measurement uncertainty can often be an involved process, especially for non routine situations. This is because data interpretation often involves complex algorithms and logic combined in a highly intertwined way. The methods often call on a multitude of input data subject to human oversight. These characteristics can be confusing and pose a barrier to developing and understanding between experts and data consumers. ASTM subcommittee C26-10 recognized this problem in the context of how to summarize and express precision and bias performance across the range of standards and guides it maintains. In order to create a unified approach consistent with modern practice and embracing the continuous improvement philosophy a consensus arose to prepare a procedure covering the estimation and reporting of uncertainties in non destructive assay of nuclear materials. This paper outlines the needs analysis, objectives and on-going development efforts. In addition to emphasizing some of the unique challenges and opportunities facing the NDA community we hope this article will encourage dialog and sharing of best practice and furthermore motivate developers to revisit the treatment of measurement uncertainty.

  9. Statistics, Uncertainty, and Transmitted Variation

    SciTech Connect

    Wendelberger, Joanne Roth

    2014-11-05

    The field of Statistics provides methods for modeling and understanding data and making decisions in the presence of uncertainty. When examining response functions, variation present in the input variables will be transmitted via the response function to the output variables. This phenomenon can potentially have significant impacts on the uncertainty associated with results from subsequent analysis. This presentation will examine the concept of transmitted variation, its impact on designed experiments, and a method for identifying and estimating sources of transmitted variation in certain settings.

  10. Reducing Regulatory Burden | Department of Energy

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

    Burden Reducing Regulatory Burden Request for information on reducing regulatory burden Reducing Regulatory Burden (289.74 KB) More Documents & Publications Reducing Regulatory Burden; Retrospective Review Under E.O. 13563 SEVENTH RFI COMMENTS ON REDUCING REGULATORY BURDEN

  11. Rationales for regulatory activity

    SciTech Connect

    Perhac, R.M.

    1997-02-01

    The author provides an outline which touches on the types of concerns about risk evaluation which are addressed in the process of establishing regulatory guides. Broadly he says regulatory activity serves three broad constituents: (1) Paternalism (private risk); (2) Promotion of social welfare (public risks); (3) Protection of individual rights (public risks). He then discusses some of the major issues encountered in reaching a decision on what is an acceptable level of risk within each of these areas, and how one establishes such a level.

  12. Uncertainty quantification and error analysis

    SciTech Connect

    Higdon, Dave M; Anderson, Mark C; Habib, Salman; Klein, Richard; Berliner, Mark; Covey, Curt; Ghattas, Omar; Graziani, Carlo; Seager, Mark; Sefcik, Joseph; Stark, Philip

    2010-01-01

    UQ studies all sources of error and uncertainty, including: systematic and stochastic measurement error; ignorance; limitations of theoretical models; limitations of numerical representations of those models; limitations on the accuracy and reliability of computations, approximations, and algorithms; and human error. A more precise definition for UQ is suggested below.

  13. EPAct Transportation Regulatory Activities

    SciTech Connect

    2011-11-21

    The U.S. Department of Energy's (DOE) Vehicle Technologies Program manages several transportation regulatory activities established by the Energy Policy Act of 1992 (EPAct), as amended by the Energy Conservation Reauthorization Act of 1998, EPAct 2005, and the Energy Independence and Security Act of 2007 (EISA).

  14. Experimental uncertainty estimation and statistics for data having interval uncertainty.

    SciTech Connect

    Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos

    2007-05-01

    This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.

  15. Adjoint-Based Uncertainty Quantification with MCNP

    SciTech Connect

    Seifried, Jeffrey E.

    2011-09-01

    This work serves to quantify the instantaneous uncertainties in neutron transport simulations born from nuclear data and statistical counting uncertainties. Perturbation and adjoint theories are used to derive implicit sensitivity expressions. These expressions are transformed into forms that are convenient for construction with MCNP6, creating the ability to perform adjoint-based uncertainty quantification with MCNP6. These new tools are exercised on the depleted-uranium hybrid LIFE blanket, quantifying its sensitivities and uncertainties to important figures of merit. Overall, these uncertainty estimates are small (< 2%). Having quantified the sensitivities and uncertainties, physical understanding of the system is gained and some confidence in the simulation is acquired.

  16. Re: Regulatory Burden RFI | Department of Energy

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

    Regulatory Burden RFI Re: Regulatory Burden RFI Hearth Patio & Barbecue Association comments on Regulatory Burden RFI Re: Regulatory Burden RFI (74.36 KB) More Documents & Publications Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden RFI Regulatory Reduction RFI, 76 Fed. Reg. 6123, February 3, 2011

  17. Fukushima Daiichi unit 1 uncertainty analysis--Preliminary selection of uncertain parameters and analysis methodology

    SciTech Connect

    Cardoni, Jeffrey N.; Kalinich, Donald A.

    2014-02-01

    Sandia National Laboratories (SNL) plans to conduct uncertainty analyses (UA) on the Fukushima Daiichi unit (1F1) plant with the MELCOR code. The model to be used was developed for a previous accident reconstruction investigation jointly sponsored by the US Department of Energy (DOE) and Nuclear Regulatory Commission (NRC). However, that study only examined a handful of various model inputs and boundary conditions, and the predictions yielded only fair agreement with plant data and current release estimates. The goal of this uncertainty study is to perform a focused evaluation of uncertainty in core melt progression behavior and its effect on key figures-of-merit (e.g., hydrogen production, vessel lower head failure, etc.). In preparation for the SNL Fukushima UA work, a scoping study has been completed to identify important core melt progression parameters for the uncertainty analysis. The study also lays out a preliminary UA methodology.

  18. regulatory | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    regulatory Home Graham7781's picture Submitted by Graham7781(2017) Super contributor 5 August, 2013 - 13:18 Geothermal Regulatory Roadmap featured on NREL Now geothermal NREL...

  19. Nuclear Regulatory Commission information digest

    SciTech Connect

    None,

    1990-03-01

    The Nuclear Regulatory Commission information digest provides summary information regarding the US Nuclear Regulatory Commission, its regulatory responsibilities, and areas licensed by the commission. This is an annual publication for the general use of the NRC Staff and is available to the public. The digest is divided into two parts: the first presents an overview of the US Nuclear Regulatory Commission and the second provides data on NRC commercial nuclear reactor licensees and commercial nuclear power reactors worldwide.

  20. Regulatory Requirements | The Ames Laboratory

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

    Regulatory Requirements Executive Order 13423, Strengthening Federal Environment, Energy, and Transportation Management (January 26, 2007) and Executive Order 13514, Federal...

  1. Washington Coastal Zone Management Regulatory Handbook | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    to library PermittingRegulatory Guidance - GuideHandbook: Washington Coastal Zone Management Regulatory HandbookPermittingRegulatory GuidanceGuideHandbook Author Washington...

  2. Regulatory Burden RFI | Department of Energy

    Energy.gov [DOE] (indexed site)

    and in making its regulatory program more effective and less burdensome. Regulatory Burden RFI More Documents & Publications Regulatory Burden RFI from AHRI Air-Conditioning,...

  3. Fractal analysis of time varying data

    DOEpatents

    Vo-Dinh, Tuan; Sadana, Ajit

    2002-01-01

    Characteristics of time varying data, such as an electrical signal, are analyzed by converting the data from a temporal domain into a spatial domain pattern. Fractal analysis is performed on the spatial domain pattern, thereby producing a fractal dimension D.sub.F. The fractal dimension indicates the regularity of the time varying data.

  4. ARM - PI Product - Direct Aerosol Forcing Uncertainty

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

    ProductsDirect Aerosol Forcing Uncertainty ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Direct Aerosol Forcing Uncertainty Understanding sources of uncertainty in aerosol direct radiative forcing (DRF), the difference in a given radiative flux component with and without aerosol, is essential to quantifying changes in Earth's radiation budget. We examine the uncertainty in DRF due to measurement

  5. Uncertainty quantification and multiscale mathematics. (Conference...

    Office of Scientific and Technical Information (OSTI)

    quantification and multiscale mathematics. Citation Details In-Document Search Title: Uncertainty quantification and multiscale mathematics. Authors: Trucano, Timothy Guy ...

  6. Data Assimilation and Uncertainty Quantification

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

    Data Assimilation and Uncertainty Quantification Using VERA-CS for a Core Wide LWR Problem with Depletion L2:VMA.P12.01 Bassam A. Khuwaileh and Paul J. Turinsky North Carolina State University, Department of Nuclear Engineering, Raleigh, NC. This research was supported by the Consortium for Advanced Simulation of Light Water Reactors (www.casl.gov), an Energy Innovation Hub (http://www.energy.gov/hubs) for Modeling and Simulation of Nuclear Reactors under U.S. Department of Energy Contract No.

  7. REGULATORY PARTNERSHIP STATEMENT | Department of Energy

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

    PARTNERSHIP STATEMENT REGULATORY PARTNERSHIP STATEMENT PDF icon RPS PDF.PDF More Documents & Publications REGULATORY COOPERATION COUNCIL - WORK PLANNING FORMAT

  8. Interstate Technology & Regulatory Council (ITRC) Remediation...

    Office of Environmental Management (EM)

    Interstate Technology & Regulatory Council (ITRC) Remediation Management of Complex Sites: Case Studies and Guidance Interstate Technology & Regulatory Council (ITRC) Remediation ...

  9. Paducah Regulatory Approach | Department of Energy

    Office of Environmental Management (EM)

    Environmental Remediation Paducah Regulatory Approach Paducah Regulatory Approach Past uranium enrichment operations and support activities generated hazardous, radioactive, ...

  10. Project Regulatory Considerations

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

    Regulatory Considerations August 31, 2016 11:00 am - 12:30 PM MDT 2 Todays Presenters * Randy Manion, Manion@wapa.gov * Doug Maccourt, douglas.Maccourt@hq.doe.gov * John Clancy, JClancy@gklaw.com * Tamera Dawes, Tamera.dawes@bia.gov * Stan Webb, Stan.webb@bia.gov 3 Link to the Webinar Slides and Audio Everyone will receive a post-webinar e-mail with the link to the page where the slides and recording will be located http://www.energy.gov/indianenergy/webinars#past 4 Questions * To submit

  11. Reduction in maximum time uncertainty of paired time signals

    DOEpatents

    Theodosiou, G.E.; Dawson, J.W.

    1983-10-04

    Reduction in the maximum time uncertainty (t[sub max]--t[sub min]) of a series of paired time signals t[sub 1] and t[sub 2] varying between two input terminals and representative of a series of single events where t[sub 1][<=]t[sub 2] and t[sub 1]+t[sub 2] equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t[sub min]) of the first signal t[sub 1] closer to t[sub max] and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20--800. 6 figs.

  12. Reduction in maximum time uncertainty of paired time signals

    DOEpatents

    Theodosiou, George E.; Dawson, John W.

    1983-01-01

    Reduction in the maximum time uncertainty (t.sub.max -t.sub.min) of a series of paired time signals t.sub.1 and t.sub.2 varying between two input terminals and representative of a series of single events where t.sub.1 .ltoreq.t.sub.2 and t.sub.1 +t.sub.2 equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t.sub.min) of the first signal t.sub.1 closer to t.sub.max and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20-800.

  13. Reduction in maximum time uncertainty of paired time signals

    DOEpatents

    Theodosiou, G.E.; Dawson, J.W.

    1981-02-11

    Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.

  14. Large-Scale Transport Model Uncertainty and Sensitivity Analysis: Distributed Sources in Complex Hydrogeologic Systems

    SciTech Connect

    Sig Drellack, Lance Prothro

    2007-12-01

    The Underground Test Area (UGTA) Project of the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office is in the process of assessing and developing regulatory decision options based on modeling predictions of contaminant transport from underground testing of nuclear weapons at the Nevada Test Site (NTS). The UGTA Project is attempting to develop an effective modeling strategy that addresses and quantifies multiple components of uncertainty including natural variability, parameter uncertainty, conceptual/model uncertainty, and decision uncertainty in translating model results into regulatory requirements. The modeling task presents multiple unique challenges to the hydrological sciences as a result of the complex fractured and faulted hydrostratigraphy, the distributed locations of sources, the suite of reactive and non-reactive radionuclides, and uncertainty in conceptual models. Characterization of the hydrogeologic system is difficult and expensive because of deep groundwater in the arid desert setting and the large spatial setting of the NTS. Therefore, conceptual model uncertainty is partially addressed through the development of multiple alternative conceptual models of the hydrostratigraphic framework and multiple alternative models of recharge and discharge. Uncertainty in boundary conditions is assessed through development of alternative groundwater fluxes through multiple simulations using the regional groundwater flow model. Calibration of alternative models to heads and measured or inferred fluxes has not proven to provide clear measures of model quality. Therefore, model screening by comparison to independently-derived natural geochemical mixing targets through cluster analysis has also been invoked to evaluate differences between alternative conceptual models. Advancing multiple alternative flow models, sensitivity of transport predictions to parameter uncertainty is assessed through Monte Carlo simulations. The

  15. SOARCA Peach Bottom Atomic Power Station Long-Term Station Blackout Uncertainty Analysis: Convergence of the Uncertainty Results

    SciTech Connect

    Bixler, Nathan E.; Osborn, Douglas M.; Sallaberry, Cedric Jean-Marie; Eckert-Gallup, Aubrey Celia; Mattie, Patrick D.; Ghosh, S. Tina

    2014-02-01

    This paper describes the convergence of MELCOR Accident Consequence Code System, Version 2 (MACCS2) probabilistic results of offsite consequences for the uncertainty analysis of the State-of-the-Art Reactor Consequence Analyses (SOARCA) unmitigated long-term station blackout scenario at the Peach Bottom Atomic Power Station. The consequence metrics evaluated are individual latent-cancer fatality (LCF) risk and individual early fatality risk. Consequence results are presented as conditional risk (i.e., assuming the accident occurs, risk per event) to individuals of the public as a result of the accident. In order to verify convergence for this uncertainty analysis, as recommended by the Nuclear Regulatory Commission’s Advisory Committee on Reactor Safeguards, a ‘high’ source term from the original population of Monte Carlo runs has been selected to be used for: (1) a study of the distribution of consequence results stemming solely from epistemic uncertainty in the MACCS2 parameters (i.e., separating the effect from the source term uncertainty), and (2) a comparison between Simple Random Sampling (SRS) and Latin Hypercube Sampling (LHS) in order to validate the original results obtained with LHS. Three replicates (each using a different random seed) of size 1,000 each using LHS and another set of three replicates of size 1,000 using SRS are analyzed. The results show that the LCF risk results are well converged with either LHS or SRS sampling. The early fatality risk results are less well converged at radial distances beyond 2 miles, and this is expected due to the sparse data (predominance of “zero” results).

  16. Probabilistic accident consequence uncertainty analysis: Dispersion and deposition uncertainty assessment. Volume 3, Appendices C, D, E, F, and G

    SciTech Connect

    Harper, F.T.; Young, M.L.; Miller, L.A.

    1995-01-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, completed in 1990, estimate the risks presented by nuclear installations based on postulated frequencies and magnitudes of potential accidents. In 1991, the US Nuclear Regulatory Commission (NRC) and the Commission of the European Communities (CEC) began a joint uncertainty analysis of the two codes. The objective was to develop credible and traceable uncertainty distributions for the input variables of the codes. Expert elicitation, developed independently, was identified as the best technology available for developing a library of uncertainty distributions for the selected consequence parameters. The study was formulated jointly and was limited to the current code models and to physical quantities that could be measured in experiments. To validate the distributions generated for the wet deposition input variables, samples were taken from these distributions and propagated through the wet deposition code model along with the Gaussian plume model (GPM) implemented in the MACCS and COSYMA codes. Resulting distributions closely replicated the aggregated elicited wet deposition distributions. Project teams from the NRC and CEC cooperated successfully to develop and implement a unified process for the elaboration of uncertainty distributions on consequence code input parameters. Formal expert judgment elicitation proved valuable for synthesizing the best available information. Distributions on measurable atmospheric dispersion and deposition parameters were successfully elicited from experts involved in the many phenomenological areas of consequence analysis. This volume is the third of a three-volume document describing the project and contains descriptions of the probability assessment principles; the expert identification and selection process; the weighting methods used; the inverse modeling methods; case structures; and summaries of the consequence codes.

  17. Regulatory Processes | Department of Energy

    Office of Environmental Management (EM)

    Regulatory Processes Beginning with the Energy Policy and Conservation Act of 1975, ... they comply with the applicable energy conservation standards. (42 U.S.C. 6293; 6314) DOE ...

  18. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect

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

    2014-07-09

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

  19. Capturing the uncertainty in adversary attack simulations.

    SciTech Connect

    Darby, John L.; Brooks, Traci N.; Berry, Robert Bruce

    2008-09-01

    This work provides a comprehensive uncertainty technique to evaluate uncertainty, resulting in a more realistic evaluation of PI, thereby requiring fewer resources to address scenarios and allowing resources to be used across more scenarios. For a given set of dversary resources, two types of uncertainty are associated with PI for a scenario: (1) aleatory (random) uncertainty for detection probabilities and time delays and (2) epistemic (state of knowledge) uncertainty for the adversary resources applied during an attack. Adversary esources consist of attributes (such as equipment and training) and knowledge about the security system; to date, most evaluations have assumed an adversary with very high resources, adding to the conservatism in the evaluation of PI. The aleatory uncertainty in PI is ddressed by assigning probability distributions to detection probabilities and time delays. A numerical sampling technique is used to evaluate PI, addressing the repeated variable dependence in the equation for PI.

  20. Regulatory Streamlining and Improvement

    SciTech Connect

    Mark A. Carl

    2006-07-11

    The Interstate Oil and Gas Compact Commission (IOGCC) engaged in numerous projects outlined under the scope of work discussed in the United States Department of Energy (DOE) grant number DE-FC26-04NT15456 awarded to the IOGCC. Numerous projects were completed that were extremely valuable to state oil and gas agencies as a result of work performed utilizing resources provided by the grant. There are numerous areas in which state agencies still need assistance. This additional assistance will need to be addressed under future scopes of work submitted annually to DOE's Project Officer for this grant. This report discusses the progress of the projects outlined under the grant scope of work for the 2005-2006 areas of interest, which are as follows: Area of Interest No. 1--Regulatory Streamlining and Improvement: This area of interest continues to support IOGCC's regulatory streamlining efforts that include the identification and elimination of unnecessary duplications of efforts between and among state and federal programs dealing with exploration and production on public lands. Area of Interest No. 2--Technology: This area of interest seeks to improve efficiency in states through the identification of technologies that can reduce costs. Area of Interest No. 3--Training and Education: This area of interest is vital to upgrading the skills of regulators and industry alike. Within the National Energy Policy, there are many appropriate training and education opportunities. Education was strongly endorsed by the President's National Energy Policy Development group. Acting through the governors offices, states are very effective conduits for the dissemination of energy education information. While the IOGCC favors the development of a comprehensive, long-term energy education plan, states are also supportive of immediate action on important concerns, such as energy prices, availability and conservation. Area of Interest No. 4--Resource Assessment and Development: This area

  1. Whitepaper on Uncertainty Quantification for MPACT

    SciTech Connect

    Williams, Mark L.

    2015-12-17

    The MPACT code provides the ability to perform high-fidelity deterministic calculations to obtain a wide variety of detailed results for very complex reactor core models. However MPACT currently does not have the capability to propagate the effects of input data uncertainties to provide uncertainties in the calculated results. This white paper discusses a potential method for MPACT uncertainty quantification (UQ) based on stochastic sampling.

  2. Uncertainty quantification for discrimination of nuclear events...

    Office of Scientific and Technical Information (OSTI)

    comprehensive nuclear-test-ban treaty Title: Uncertainty quantification for discrimination of nuclear events as violations of the comprehensive nuclear-test-ban treaty Authors: ...

  3. Uncertainty Quantification in Climate Modeling - Discovering...

    Office of Scientific and Technical Information (OSTI)

    in Climate Modeling - Discovering Sparsity and Building Surrogates. Citation Details In-Document Search Title: Uncertainty Quantification in Climate Modeling - Discovering ...

  4. Uncertainty Quantification and Propagation in Nuclear Density...

    Office of Scientific and Technical Information (OSTI)

    theoretical tools used to study the properties of heavy and ... of model uncertainties and Bayesian inference methods. ... Country of Publication: United States Language: English ...

  5. Uncertainty Quantification for Nuclear Density Functional Theory...

    Office of Scientific and Technical Information (OSTI)

    Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements Citation Details In-Document Search This content will become publicly...

  6. Direct Aerosol Forcing Uncertainty (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    comparable to uncertainty arising from some individual properties. less Authors: Mccomiskey, Allison Publication Date: 2008-01-15 OSTI Identifier: 1169526 DOE Contract ...

  7. Microsoft Word - Price Uncertainty Supplement.doc

    Gasoline and Diesel Fuel Update

    implied volatility of 28 percent calculated from New York Mercantile Exchange (NYMEX) near-the-money options on WTI futures (see Energy Price Volatility and Forecast Uncertainty). ...

  8. Microsoft Word - Price Uncertainty Supplement.doc

    Gasoline and Diesel Fuel Update

    uncertainty in Europe and China, and robust oil demand in global energy ... to reports of monetary tightening in China, which could dampen energy demand in that ...

  9. Microsoft Word - Price Uncertainty Supplement.doc

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

    respectively (see Energy Price Volatility and Forecast Uncertainty documentation). During the same period last year, market participants were pricing March-delivered WTI ...

  10. Validation and Uncertainty Characterization for Energy Simulation

    Energy Saver

    Validation and Uncertainty Characterization for Energy Simulation (1530) Philip Haves (LBNL) Co-PI's: Ron Judkoff (NREL), Joshua New (ORNL), Ralph Muehleisen (ANL) BTO Merit ...

  11. From Deterministic Inversion to Uncertainty Quantification: Planning...

    Office of Scientific and Technical Information (OSTI)

    Glen's Flow Law exponent) Main sources of uncertainty: Problem definition Goal: ... Common y Proposed U: computed depth averaged velocity H: ice thickness basal sliding ...

  12. Uncertainties in global aerosol simulations: Assessment using...

    Office of Scientific and Technical Information (OSTI)

    Title: Uncertainties in global aerosol simulations: Assessment using three meteorological data sets Current global aerosol models use different physical and chemical schemes and 4 ...

  13. From Deterministic Inversion to Uncertainty Quantification: Planning...

    Office of Scientific and Technical Information (OSTI)

    Planning a Long Journey in Ice Sheet Modeling. Citation Details In-Document Search Title: From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in ...

  14. Uncertainty Estimation of Radiometric Data using a Guide to the Expression of Uncertainty in Measurement (GUM) Method

    SciTech Connect

    Habte, Aron

    2015-06-25

    This presentation summarizes uncertainty estimation of radiometric data using the Guide to the Expression of Uncertainty (GUM) method.

  15. Uncertainty and Sensitivity of Alternative Rn-222 Flux Density Models Used in Performance Assessment

    SciTech Connect

    Greg J. Shott, Vefa Yucel, Lloyd Desotell; Non-Nstec Authors: G. Pyles and Jon Carilli

    2007-06-01

    Performance assessments for the Area 5 Radioactive Waste Management Site on the Nevada Test Site have used three different mathematical models to estimate Rn-222 flux density. This study describes the performance, uncertainty, and sensitivity of the three models which include the U.S. Nuclear Regulatory Commission Regulatory Guide 3.64 analytical method and two numerical methods. The uncertainty of each model was determined by Monte Carlo simulation using Latin hypercube sampling. The global sensitivity was investigated using Morris one-at-time screening method, sample-based correlation and regression methods, the variance-based extended Fourier amplitude sensitivity test, and Sobol's sensitivity indices. The models were found to produce similar estimates of the mean and median flux density, but to have different uncertainties and sensitivities. When the Rn-222 effective diffusion coefficient was estimated using five different published predictive models, the radon flux density models were found to be most sensitive to the effective diffusion coefficient model selected, the emanation coefficient, and the radionuclide inventory. Using a site-specific measured effective diffusion coefficient significantly reduced the output uncertainty. When a site-specific effective-diffusion coefficient was used, the models were most sensitive to the emanation coefficient and the radionuclide inventory.

  16. Sensitivity and Uncertainty Analysis Shell

    Energy Science and Technology Software Center

    1999-04-20

    SUNS (Sensitivity and Uncertainty Analysis Shell) is a 32-bit application that runs under Windows 95/98 and Windows NT. It is designed to aid in statistical analyses for a broad range of applications. The class of problems for which SUNS is suitable is generally defined by two requirements: 1. A computer code is developed or acquired that models some processes for which input is uncertain and the user is interested in statistical analysis of the outputmore » of that code. 2. The statistical analysis of interest can be accomplished using the Monte Carlo analysis. The implementation then requires that the user identify which input to the process model is to be manipulated for statistical analysis. With this information, the changes required to loosely couple SUNS with the process model can be completed. SUNS is then used to generate the required statistical sample and the user-supplied process model analyses the sample. The SUNS post processor displays statistical results from any existing file that contains sampled input and output values.« less

  17. The Thermal Collector With Varied Glass Covers

    SciTech Connect

    Luminosu, I.; Pop, N.

    2010-08-04

    The thermal collector with varied glass covers represents an innovation realized in order to build a collector able to reach the desired temperature by collecting the solar radiation from the smallest surface, with the highest efficiency. In the case of the thermal collector with variable cover glasses, the number of the glass plates covering the absorber increases together with the length of the circulation pipe for the working fluid. The thermal collector with varied glass covers compared to the conventional collector better meet user requirements because: for the same temperature increase, has the collecting area smaller; for the same collection area, realizes the highest temperature increase and has the highest efficiency. This works is addressed to researchers in the solar energy and to engineers responsible with air-conditioning systems design or industrial and agricultural products drying.

  18. Estimating the uncertainty in underresolved nonlinear dynamics

    SciTech Connect

    Chorin, Alelxandre; Hald, Ole

    2013-06-12

    The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.

  19. Uncertainty Analysis for Photovoltaic Degradation Rates (Poster)

    SciTech Connect

    Jordan, D.; Kurtz, S.; Hansen, C.

    2014-04-01

    Dependable and predictable energy production is the key to the long-term success of the PV industry. PV systems show over the lifetime of their exposure a gradual decline that depends on many different factors such as module technology, module type, mounting configuration, climate etc. When degradation rates are determined from continuous data the statistical uncertainty is easily calculated from the regression coefficients. However, total uncertainty that includes measurement uncertainty and instrumentation drift is far more difficult to determine. A Monte Carlo simulation approach was chosen to investigate a comprehensive uncertainty analysis. The most important effect for degradation rates is to avoid instrumentation that changes over time in the field. For instance, a drifting irradiance sensor, which can be achieved through regular calibration, can lead to a substantially erroneous degradation rates. However, the accuracy of the irradiance sensor has negligible impact on degradation rate uncertainty emphasizing that precision (relative accuracy) is more important than absolute accuracy.

  20. Request for comments on draft Regulatory Guide, ''Best-estimate calculations of emergency core cooling system performance''

    SciTech Connect

    Not Available

    1987-03-01

    The US Nuclear Regulatory Commission (NRC) is proposing to amend the requirements of 10 CFR Part 50, ''Domestic Licensing of Production and Utilization Facilities.'' These amendments would allow licensees to use realistic calculations, as opposed to the currently required conservative calculations, to show the acceptability of the emergency core cooling system (ECCS) performance. The proposed amendments would also require that the uncertainty of each realistic calculation be determined and that this uncertainty be included in the calculation as a safety factor. The NRC staff has prepared this regulatory guide in draft form to allow the public to participate in the development of guidance on acceptable methods of complying with the proposed amendments.

  1. REGULATORY COOPERATION COUNCIL - WORK PLANNING FORMAT | Department...

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

    COOPERATION COUNCIL - WORK PLANNING FORMAT REGULATORY COOPERATION COUNCIL - WORK PLANNING FORMAT REGULATORY COOPERATION COUNCIL - WORK PLANNING FORMAT PDF icon RCC Workplan PDF EN ...

  2. Regulatory Review Comment Section | Department of Energy

    Office of Environmental Management (EM)

    Radiation Protection of the Public and the Environment Regulatory Review Comment Section Regulatory Review Comment Section DOE Comments on Radiation Protection (Atomic Energy ...

  3. EIA - Natural Gas Pipeline Network - Regulatory Authorities

    Gasoline and Diesel Fuel Update

    Regulatory Authorities About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates U.S. Natural Gas Regulatory Authorities ...

  4. Paducah Site Regulatory Documents | Department of Energy

    Office of Environmental Management (EM)

    Regulatory Documents Paducah Site Regulatory Documents Paducah Site Federal Facility Agreement (35.48 MB) Paducah 2015 Site Management Plan (6 MB) Paducah Community Relations Plan ...

  5. Policy and Regulatory Environment | Department of Energy

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

    Soft Costs Policy and Regulatory Environment Policy and Regulatory Environment Photo of a man speaking while seated at a table with men and women surrounding him. A favorable ...

  6. General Construction and Environmental Regulatory Support at...

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

    General Construction and Environmental Regulatory Support at the Los Alamos National Laboratory General Construction and Environmental Regulatory Support at the Los Alamos National ...

  7. Nuclear Regulatory Commission | Department of Energy

    Office of Environmental Management (EM)

    Commission Nuclear Regulatory Commission Nuclear Regulatory Commission (25.98 KB) More Documents & Publications What to Expect When Readying to Move Spent Nuclear Fuel from ...

  8. Regulatory Considerations for Developing Distributed Generation...

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

    Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, ...

  9. Regulatory Considerations for Developing Distributed Generation...

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

    Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Document covers the Regulatory ...

  10. Numerical uncertainty in computational engineering and physics

    SciTech Connect

    Hemez, Francois M

    2009-01-01

    Obtaining a solution that approximates ordinary or partial differential equations on a computational mesh or grid does not necessarily mean that the solution is accurate or even 'correct'. Unfortunately assessing the quality of discrete solutions by questioning the role played by spatial and temporal discretizations generally comes as a distant third to test-analysis comparison and model calibration. This publication is contributed to raise awareness of the fact that discrete solutions introduce numerical uncertainty. This uncertainty may, in some cases, overwhelm in complexity and magnitude other sources of uncertainty that include experimental variability, parametric uncertainty and modeling assumptions. The concepts of consistency, convergence and truncation error are overviewed to explain the articulation between the exact solution of continuous equations, the solution of modified equations and discrete solutions computed by a code. The current state-of-the-practice of code and solution verification activities is discussed. An example in the discipline of hydro-dynamics illustrates the significant effect that meshing can have on the quality of code predictions. A simple method is proposed to derive bounds of solution uncertainty in cases where the exact solution of the continuous equations, or its modified equations, is unknown. It is argued that numerical uncertainty originating from mesh discretization should always be quantified and accounted for in the overall uncertainty 'budget' that supports decision-making for applications in computational physics and engineering.

  11. OpenEI Community - regulatory

    OpenEI (Open Energy Information) [EERE & EIA]

    Now http:en.openei.orgcommunitybloggeothermal-regulatory-roadmap-featured-nrel-now

    Navigating the complex system of federal and...

  12. Regulatory facility guide for Ohio

    SciTech Connect

    Anderson, S.S.; Bock, R.E.; Francis, M.W.; Gove, R.M.; Johnson, P.E.; Kovac, F.M.; Mynatt, J.O.; Rymer, A.C.

    1994-02-28

    The Regulatory Facility Guide (RFG) has been developed for the DOE and contractor facilities located in the state of Ohio. It provides detailed compilations of international, federal, and state transportation-related regulations applicable to shipments originating at destined to Ohio facilities. This RFG was developed as an additional resource tool for use both by traffic managers who must ensure that transportation operations are in full compliance with all applicable regulatory requirements and by oversight personnel who must verify compliance activities.

  13. The Role of Uncertainty Quantification for Reactor Physics

    SciTech Connect

    Salvatores, Massimo; Palmiotti, Giuseppe; Aliberti, G.

    2015-01-01

    The quantification of uncertainties is a crucial step in design. The comparison of a-priori uncertainties with the target accuracies, allows to define needs and priorities for uncertainty reduction. In view of their impact, the uncertainty analysis requires a reliability assessment of the uncertainty data used. The choice of the appropriate approach and the consistency of different approaches are discussed.

  14. Spatially varying embedded stochastic galerkin methods for steady-state PDEs.

    SciTech Connect

    Cyr, Eric Christopher

    2013-07-01

    Existing discretizations for stochastic PDEs, based on a tensor product between the deterministic basis and the stochastic basis, treat the required resolution of uncertainty as uniform across the physical domain. However, solutions to many PDEs of interest exhibit spatially localized features that may result in uncertainty being severely over or under-resolved by existing discretizations. In this report, we explore the mechanics and accuracy of using a spatially varying stochastic expansion. This is achieved through an adaptive refinement algorithm where simple error estimates are used to independently drive refinement of the stochastic basis at each point in the physical domain. Results are presented comparing the accuracy of the adaptive techinque to the accuracy achieved using uniform refinement.

  15. Time varying arctic climate change amplification

    SciTech Connect

    Chylek, Petr; Dubey, Manvendra K; Lesins, Glen; Wang, Muyin

    2009-01-01

    During the past 130 years the global mean surface air temperature has risen by about 0.75 K. Due to feedbacks -- including the snow/ice albedo feedback -- the warming in the Arctic is expected to proceed at a faster rate than the global average. Climate model simulations suggest that this Arctic amplification produces warming that is two to three times larger than the global mean. Understanding the Arctic amplification is essential for projections of future Arctic climate including sea ice extent and melting of the Greenland ice sheet. We use the temperature records from the Arctic stations to show that (a) the Arctic amplification is larger at latitudes above 700 N compared to those within 64-70oN belt, and that, surprisingly; (b) the ratio of the Arctic to global rate of temperature change is not constant but varies on the decadal timescale. This time dependence will affect future projections of climate changes in the Arctic.

  16. Time varying, multivariate volume data reduction

    SciTech Connect

    Ahrens, James P; Fout, Nathaniel; Ma, Kwan - Liu

    2010-01-01

    Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by large-scale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. In this paper we present a solution which addresses the need for data reduction in large supercomputing environments where data resulting from simulations occupies tremendous amounts of storage. Our solution employs a lossy encoding scheme to acrueve data reduction with several options in terms of rate-distortion behavior. We focus on encoding of multiple variables together, with optional compression in space and time. The compressed volumes can be rendered directly with commodity graphics cards at interactive frame rates and rendering quality similar to that of static volume renderers. Compression results using a multivariate time-varying data set indicate that encoding multiple variables results in acceptable performance in the case of spatial and temporal encoding as compared to independent compression of variables. The relative performance of spatial vs. temporal compression is data dependent, although temporal compression has the

  17. An uncertainty principle for unimodular quantum groups

    SciTech Connect

    Crann, Jason; Kalantar, Mehrdad E-mail: mkalanta@math.carleton.ca

    2014-08-15

    We present a generalization of Hirschman's entropic uncertainty principle for locally compact Abelian groups to unimodular locally compact quantum groups. As a corollary, we strengthen a well-known uncertainty principle for compact groups, and generalize the relation to compact quantum groups of Kac type. We also establish the complementarity of finite-dimensional quantum group algebras. In the non-unimodular setting, we obtain an uncertainty relation for arbitrary locally compact groups using the relative entropy with respect to the Haar weight as the measure of uncertainty. We also show that when restricted to q-traces of discrete quantum groups, the relative entropy with respect to the Haar weight reduces to the canonical entropy of the random walk generated by the state.

  18. Cost Analysis: Technology, Competitiveness, Market Uncertainty | Department

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

    of Energy Technology to Market » Cost Analysis: Technology, Competitiveness, Market Uncertainty Cost Analysis: Technology, Competitiveness, Market Uncertainty As a basis for strategic planning, competitiveness analysis, funding metrics and targets, SunShot supports analysis teams at national laboratories to assess technology costs, location-specific competitive advantages, policy impacts on system financing, and to perform detailed levelized cost of energy (LCOE) analyses. This shows the

  19. Regulatory Burden RFI | Department of Energy

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

    Hearth & Home Technologies comments on Regulatory Burden RFI Regulatory Burden RFI (116.35 KB) More Documents & Publications Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) Re: Regulatory Burden RFI RegReview_ReplyComments_Lennox_Hearth_Products.PDF

  20. TIME-VARYING DYNAMICAL STAR FORMATION RATE

    SciTech Connect

    Lee, Eve J.; Chang, Philip; Murray, Norman

    2015-02-10

    We present numerical evidence of dynamic star formation in which the accreted stellar mass grows superlinearly with time, roughly as t {sup 2}. We perform simulations of star formation in self-gravitating hydrodynamic and magnetohydrodynamic turbulence that is continuously driven. By turning the self-gravity of the gas in the simulations on or off, we demonstrate that self-gravity is the dominant physical effect setting the mass accretion rate at early times before feedback effects take over, contrary to theories of turbulence-regulated star formation. We find that gravitational collapse steepens the density profile around stars, generating the power-law tail on what is otherwise a lognormal density probability distribution function. Furthermore, we find turbulent velocity profiles to flatten inside collapsing regions, altering the size-line width relation. This local flattening reflects enhancements of turbulent velocity on small scales, as verified by changes to the velocity power spectra. Our results indicate that gas self-gravity dynamically alters both density and velocity structures in clouds, giving rise to a time-varying star formation rate. We find that a substantial fraction of the gas that forms stars arrives via low-density flows, as opposed to accreting through high-density filaments.

  1. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case ...

  2. Analysis of the Uncertainty in Wind Measurements from the Atmospheric...

    Office of Scientific and Technical Information (OSTI)

    Program Document: Analysis of the Uncertainty in Wind Measurements from the Atmospheric ... Citation Details In-Document Search Title: Analysis of the Uncertainty in Wind ...

  3. Analysis and Reduction of Chemical Models under Uncertainty ...

    Office of Scientific and Technical Information (OSTI)

    Analysis and Reduction of Chemical Models under Uncertainty Citation Details In-Document Search Title: Analysis and Reduction of Chemical Models under Uncertainty Abstract not ...

  4. Analysis of the Uncertainty in Wind Measurements from the Atmospheric...

    Office of Scientific and Technical Information (OSTI)

    Analysis of the Uncertainty in Wind Measurements from the Atmospheric Radiation ... Citation Details In-Document Search Title: Analysis of the Uncertainty in Wind ...

  5. Early solar mass loss, opacity uncertainties, and the solar abundance...

    Office of Scientific and Technical Information (OSTI)

    Early solar mass loss, opacity uncertainties, and the solar abundance problem Citation Details In-Document Search Title: Early solar mass loss, opacity uncertainties, and the solar ...

  6. Gradient-Enhanced Universal Kriging for Uncertainty Propagation...

    Office of Scientific and Technical Information (OSTI)

    Gradient-Enhanced Universal Kriging for Uncertainty Propagation Citation Details In-Document Search Title: Gradient-Enhanced Universal Kriging for Uncertainty Propagation Authors: ...

  7. ENHANCED UNCERTAINTY ANALYSIS FOR SRS COMPOSITE ANALYSIS

    SciTech Connect

    Smith, F.; Phifer, M.

    2011-06-30

    The Composite Analysis (CA) performed for the Savannah River Site (SRS) in 2009 (SRS CA 2009) included a simplified uncertainty analysis. The uncertainty analysis in the CA (Smith et al. 2009b) was limited to considering at most five sources in a separate uncertainty calculation performed for each POA. To perform the uncertainty calculations in a reasonable amount of time, the analysis was limited to using 400 realizations, 2,000 years of simulated transport time, and the time steps used for the uncertainty analysis were increased from what was used in the CA base case analysis. As part of the CA maintenance plan, the Savannah River National Laboratory (SRNL) committed to improving the CA uncertainty/sensitivity analysis. The previous uncertainty analysis was constrained by the standard GoldSim licensing which limits the user to running at most four Monte Carlo uncertainty calculations (also called realizations) simultaneously. Some of the limitations on the number of realizations that could be practically run and the simulation time steps were removed by building a cluster of three HP Proliant windows servers with a total of 36 64-bit processors and by licensing the GoldSim DP-Plus distributed processing software. This allowed running as many as 35 realizations simultaneously (one processor is reserved as a master process that controls running the realizations). These enhancements to SRNL computing capabilities made uncertainty analysis: using 1000 realizations, using the time steps employed in the base case CA calculations, with more sources, and simulating radionuclide transport for 10,000 years feasible. In addition, an importance screening analysis was performed to identify the class of stochastic variables that have the most significant impact on model uncertainty. This analysis ran the uncertainty model separately testing the response to variations in the following five sets of model parameters: (a) K{sub d} values (72 parameters for the 36 CA elements in

  8. Regulatory Burden RFI | Department of Energy

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

    Regulatory Burden RFI Regulatory Burden RFI These comments are submitted by the Air-Conditioning, Heating and Refrigeration Institute (AHRI) in response to the U.S. Department of Energy's (DOE) notice appearing in the Federal Register on February 3, 2011 requesting information to assist DOE in reviewing existing regulations and in making its regulatory program more effective and less burdensome. Regulatory Burden RFI (50.14 KB) More Documents & Publications Regulatory Burden RFI from AHRI

  9. Efficiency Enhancement in a Tapered Free Electron Laser by Varying...

    Office of Scientific and Technical Information (OSTI)

    Free Electron Laser by Varying the Electron Beam Radius Citation Details In-Document Search Title: Efficiency Enhancement in a Tapered Free Electron Laser by Varying the ...

  10. Investment and Upgrade in Distributed Generation under Uncertainty

    SciTech Connect

    Siddiqui, Afzal; Maribu, Karl

    2008-08-18

    The ongoing deregulation of electricity industries worldwide is providing incentives for microgrids to use small-scale distributed generation (DG) and combined heat and power (CHP) applications via heat exchangers (HXs) to meet local energy loads. Although the electric-only efficiency of DG is lower than that of central-station production, relatively high tariff rates and the potential for CHP applications increase the attraction of on-site generation. Nevertheless, a microgrid contemplatingthe installation of gas-fired DG has to be aware of the uncertainty in the natural gas price. Treatment of uncertainty via real options increases the value of the investment opportunity, which then delays the adoption decision as the opportunity cost of exercising the investment option increases as well. In this paper, we take the perspective of a microgrid that can proceed in a sequential manner with DG capacity and HX investment in order to reduce its exposure to risk from natural gas price volatility. In particular, with the availability of the HX, the microgrid faces a tradeoff between reducing its exposure to the natural gas price and maximising its cost savings. By varying the volatility parameter, we find that the microgrid prefers a direct investment strategy for low levels of volatility and a sequential one for higher levels of volatility.

  11. Photovoltaic System Modeling. Uncertainty and Sensitivity Analyses

    SciTech Connect

    Hansen, Clifford W.; Martin, Curtis E.

    2015-08-01

    We report an uncertainty and sensitivity analysis for modeling AC energy from ph otovoltaic systems . Output from a PV system is predicted by a sequence of models. We quantify u ncertainty i n the output of each model using empirical distribution s of each model's residuals. We propagate uncertainty through the sequence of models by sampli ng these distributions to obtain a n empirical distribution of a PV system's output. We consider models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane - of - array irradiance; (2) estimate effective irradiance; (3) predict cell temperature; (4) estimate DC voltage, current and power ; (5) reduce DC power for losses due to inefficient maximum power point tracking or mismatch among modules; and (6) convert DC to AC power . O ur analysis consider s a notional PV system com prising an array of FirstSolar FS - 387 modules and a 250 kW AC inverter ; we use measured irradiance and weather at Albuquerque, NM. We found the uncertainty in PV syste m output to be relatively small, on the order of 1% for daily energy. We found that unce rtainty in the models for POA irradiance and effective irradiance to be the dominant contributors to uncertainty in predicted daily energy. Our analysis indicates that efforts to reduce the uncertainty in PV system output predictions may yield the greatest improvements by focusing on the POA and effective irradiance models.

  12. Reducing Doubt About Uncertainty: Guidance for IPCC’s Third Assessment

    SciTech Connect

    Moss, Richard H.

    2011-10-07

    Uncertainty, or more generally, debate about the level of certainty required to reach a ‘firm’ conclusion, is a perennial issue in science. The difficulties of explaining uncertainty become increasingly salient as society seeks policy prescriptions to deal with global environmental change. How can science be most useful to society when evidence is incomplete or ambiguous, the subjective judgments of experts about the likelihood of outcomes vary, and policymakers seek guidance and justification for courses of action that could cause significant societal changes? How can scientists improve their characterization of uncertainties so that areas of slight disagreement do not become equated with purely speculative concerns, and how can individual subjective judgments be aggregated into group positions? And then, how can policymakers and the public come to understand this input and apply it in deciding upon appropriate actions? In short, how can the scientific content of public policy debates be fairly and openly assessed?” (Moss and Schneider 2000)

  13. Model development and data uncertainty integration

    SciTech Connect

    Swinhoe, Martyn Thomas

    2015-12-02

    The effect of data uncertainties is discussed, with the epithermal neutron multiplicity counter as an illustrative example. Simulation using MCNP6, cross section perturbations and correlations are addressed, along with the effect of the 240Pu spontaneous fission neutron spectrum, the effect of P(ν) for 240Pu spontaneous fission, and the effect of spontaneous fission and (α,n) intensity. The effect of nuclear data is the product of the initial uncertainty and the sensitivity -- both need to be estimated. In conclusion, a multi-parameter variation method has been demonstrated, the most significant parameters are the basic emission rates of spontaneous fission and (α,n) processes, and uncertainties and important data depend on the analysis technique chosen.

  14. Summary Notes from 15 November 2007 Generic Technical Issue Discussion on Sensitivity and Uncertainty Analysis and Model Support

    Office of Environmental Management (EM)

    5 November 2007 Generic Technical Issue Discussion on Sensitivity and Uncertainty Analysis and Model Support Attendees: Representatives from Department of Energy-Headquarters (DOE-HQ) and the U.S. Nuclear Regulatory Commission (NRC) met at the DOE offices in Germantown, Maryland on 15 November 2007. Representatives from Department of Energy-Savannah River (DOE-SR) and the South Carolina Department of Health and Environmental Control (SCDHEC) participated in the meeting via a teleconference link.

  15. SU-E-T-573: The Robustness of a Combined Margin Recipe for Uncertainties During Radiotherapy

    SciTech Connect

    Stroom, J; Vieira, S; Greco, C [Champalimaud Foundation, Lisbon, Lisbon (Portugal)

    2014-06-01

    Purpose: To investigate the variability of a safety margin recipe that combines CTV and PTV margins quadratically, with several tumor, treatment, and user related factors. Methods: Margin recipes were calculated by monte-carlo simulations in 5 steps. 1. A spherical tumor with or without isotropic microscopic was irradiated with a 5 field dose plan2. PTV: Geometric uncertainties were introduced using systematic (Sgeo) and random (sgeo) standard deviations. CTV: Microscopic disease distribution was modelled by semi-gaussian (Smicro) with varying number of islets (Ni)3. For a specific uncertainty set (Sgeo, sgeo, Smicro(Ni)), margins were varied until pre-defined decrease in TCP or dose coverage was fulfilled. 4. First, margin recipes were calculated for each of the three uncertainties separately. CTV and PTV recipes were then combined quadratically to yield a final recipe M(Sgeo, sgeo, Smicro(Ni)).5. The final M was verified by simultaneous simulations of the uncertainties.Now, M has been calculated for various changing parameters like margin criteria, penumbra steepness, islet radio-sensitivity, dose conformity, and number of fractions. We subsequently investigated A: whether the combined recipe still holds in all these situations, and B: what the margin variation was in all these cases. Results: We found that the accuracy of the combined margin recipes remains on average within 1mm for all situations, confirming the correctness of the quadratic addition. Depending on the specific parameter, margin factors could change such that margins change over 50%. Especially margin recipes based on TCP-criteria are more sensitive to more parameters than those based on purely geometric Dmin-criteria. Interestingly, measures taken to minimize treatment field sizes (by e.g. optimizing dose conformity) are counteracted by the requirement of larger margins to get the same tumor coverage. Conclusion: Margin recipes combining geometric and microscopic uncertainties quadratically are

  16. Regulatory/policy-panel A

    SciTech Connect

    Barr, M.R.; Grano, D.; Ruyter, J.C. de; Jernigan, R.; Carney, M.V.; Schulze, R.A.

    1995-08-01

    The status of various bills in Congress is outlined. The bills include those included in the {open_quotes}Contract with America,{close_quotes} limits on federal regulations, the Regulatory Transition Act of 1995, and the Job Creation and Wage Enhancement Act of 1995.

  17. Influence of Nuclear Fuel Cycles on Uncertainty of Long Term Performance of Geologic Disposal Systems

    Energy.gov [DOE]

    Development and implementation of future advanced fuel cycles including those that recycle fuel materials, use advanced fuels different from current fuels, or partition and transmute actinide radionuclides, will impact the waste management system. The UFD Campaign can reasonably conclude that advanced fuel cycles, in combination with partitioning and transmutation, which remove actinides, will not materially alter the performance, the spread in dose results around the mean, the modeling effort to include significant features, events, and processes (FEPs) in the performance assessment, or the characterization of uncertainty associated with a geologic disposal system in the regulatory environment of the US.

  18. Physics-based dimension reduction in uncertainty quantification for radiative transfer

    SciTech Connect

    Hetzler, A. C.; Adams, M. L.; Stripling Iv, H. F.; Hawkins, W. D.

    2013-07-01

    We present a physics-based methodology for quantifying the uncertainty in a given quantity of interest (QOI) that is contributed by uncertainties in opacities in radiation transport problems. Typically, opacities are tabulated as a function of density, temperature, and photon energy group. The size of this table makes a study of uncertainties at this level challenging because of the well-known 'curse of dimensionality.' We address this by studying uncertain parameters in the underlying physical model that generates the opacity tables. At this level, there are fewer uncertain parameters but still too many to analyze directly through computationally expensive radiation transport simulations. In order to explore this large uncertain parameter space, we develop two simplified radiation transport problems that are much less computationally demanding than the target problem of interest. An emulator is created for each QOI for each simplified problem using Bayesian Multivariate Adaptive Regression Splines (BMARS). This emulator is used to create a functional relationship between the QOIs and the uncertain parameters. Sensitivity analysis is performed using the emulator to determine which parameters contribute significantly to the uncertainty. This physics-based screening process reduces the dimension of the parameter space that is then studied via the computationally expensive radiation transport calculation to generate distributions of quantities of interest. Results of this research demonstrate that the QOIs for the target problem agree for varying screening criteria determined by the sensitivity analysis, and the QOIs agree well for varying Latin Hypercube Design (LHD) sample sizes for the uncertain space. (authors)

  19. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    SciTech Connect

    Pastore, Giovanni; Swiler, L. P.; Hales, Jason D.; Novascone, Stephen R.; Perez, Danielle M.; Spencer, Benjamin W.; Luzzi, Lelio; Uffelen, Paul Van; Williamson, Richard L.

    2014-10-12

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

  20. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    SciTech Connect

    G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson

    2014-10-01

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

  1. Coping with uncertainties of mercury regulation

    SciTech Connect

    Reich, K.

    2006-09-15

    The thermometer is rising as coal-fired plants cope with the uncertainties of mercury regulation. The paper deals with a diagnosis and a suggested cure. It describes the state of mercury emission rules in the different US states, many of which had laws or rules in place before the Clean Air Mercury Rule (CAMR) was promulgated.

  2. Extended Forward Sensitivity Analysis for Uncertainty Quantification

    SciTech Connect

    Haihua Zhao; Vincent A. Mousseau

    2011-09-01

    Verification and validation (V&V) are playing more important roles to quantify uncertainties and realize high fidelity simulations in engineering system analyses, such as transients happened in a complex nuclear reactor system. Traditional V&V in the reactor system analysis focused more on the validation part or did not differentiate verification and validation. The traditional approach to uncertainty quantification is based on a 'black box' approach. The simulation tool is treated as an unknown signal generator, a distribution of inputs according to assumed probability density functions is sent in and the distribution of the outputs is measured and correlated back to the original input distribution. The 'black box' method mixes numerical errors with all other uncertainties. It is also not efficient to perform sensitivity analysis. Contrary to the 'black box' method, a more efficient sensitivity approach can take advantage of intimate knowledge of the simulation code. In these types of approaches equations for the propagation of uncertainty are constructed and the sensitivities are directly solved for as variables in the simulation. This paper presents the forward sensitivity analysis as a method to help uncertainty qualification. By including time step and potentially spatial step as special sensitivity parameters, the forward sensitivity method is extended as one method to quantify numerical errors. Note that by integrating local truncation errors over the whole system through the forward sensitivity analysis process, the generated time step and spatial step sensitivity information reflect global numerical errors. The discretization errors can be systematically compared against uncertainties due to other physical parameters. This extension makes the forward sensitivity method a much more powerful tool to help uncertainty qualification. By knowing the relative sensitivity of time and space steps with other interested physical parameters, the simulation is allowed

  3. Regulatory applications of sediment criteria. Final report

    SciTech Connect

    Not Available

    1987-06-23

    The report briefly describes the development of sediment criteria, discusses their utility and appropriate regulatory applications, and recommends steps to enhance the acceptance of sediment criteria by the regulatory and regulated communities.

  4. 5.0 INTERFACE OF REGULATORY AUTHORITIES

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

    5-1 5.0 INTERFACE OF REGULATORY AUTHORITIES 5.1 REGULATORY PROGRAMS The RCRA, CERCLA, and State Dangerous Waste Program overlap in many areas. In general, CERCLA was created by...

  5. Tribal Renewable Energy Webinar: Project Regulatory Considerations...

    Office of Environmental Management (EM)

    Regulatory Considerations Tribal Renewable Energy Webinar: Project Regulatory Considerations August 31, 2016 11:00AM to 12:30PM MDT Learn about the many permitting and project ...

  6. Nuclear Regulatory Commission 1989 Information Digest

    SciTech Connect

    None,

    1989-03-01

    The Nuclear Regulatory Commission 1989 Information Digest provides summary information regarding the US Nuclear Regulatory Commission, its regulatory responsibilities, and areas licensed by the Commission. This is the first of an annual publication for the general use of the NRC staff and is available to the public. The Digest is divided into two parts: the first presents an overview of the US Nuclear Regulatory Commission and the second provides data on NRC commercial nuclear reactor licensees and commercial nuclear power reactors worldwide.

  7. US Nuclear Regulatory Commission functional organization charts

    SciTech Connect

    Not Available

    1990-08-15

    Functional organization charts for the US Nuclear Regulatory Commission offices, divisions, and branches are presented in this document.

  8. US Nuclear Regulatory Commission functional organization charts

    SciTech Connect

    Not Available

    1990-04-01

    Functional organization charts for the US Nuclear Regulatory Commission offices, divisions, and branches are presented in this document.

  9. Introducing a New Fuel: A Regulatory Perspective

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

    Introducing a New Fuel: A Regulatory Perspective Sustainable Transportation Summit July 12, 2016 Overview * Background * Market Driven - New fuel for existing vehicles and engines - New fuel for new vehicles and engines * Regulation Driven * Past Regulatory Experience * Conclusions 2 EPA Fuels Regulatory Authority * Congress has given EPA regulatory authority for motor vehicle and nonroad fuels - Contained in Title 2 (Mobile Sources) of the CAA, Section 211 * Major revisions in 1990 * Several

  10. Developing a Regulatory Framework for Extended Storage and Transportat...

    Office of Environmental Management (EM)

    Developing a Regulatory Framework for Extended Storage and Transportation Outline: Current Regulatory Framework Future Regulatory Needs Technical Basis (with some examples) Path ...

  11. Geothermal Regulatory Roadmap | Department of Energy

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

    Regulatory Roadmap Geothermal Regulatory Roadmap Geothermal Regulatory Roadmap presentation at the April 2013 peer review meeting held in Denver, Colorado. grr_peer2013.pdf (1.04 MB) More Documents & Publications track 1: systems analysis | geothermal 2015 peer review Geothermal Technologies Program Annual Peer Review Presentation By Doug Hollett Validation of Innovation Exploration Technologies for Newberry Volcano

  12. Improving Regulation and Regulatory Review

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

    Alton Strategic Environmental Group New Port Richey, FL charles.alton@earthlink.net April 4, 2011 Daniel Cohen, Assistant General Counsel Legislation, Regulation, and Energy Efficiency Office of the General Counsel U.S. Department of Energy 1000 Independence Avenue, SW Washington, DC 20585 Dear Mr. Cohen: I have reviewed the Request For Information regarding Reducing Regulatory Reform issued February 3, 2011 (Federal Register /Vol. 76, No. 23 /Thursday, February 3, 2011 /Notices). In the

  13. Supporting qualified database for uncertainty evaluation

    SciTech Connect

    Petruzzi, A.; Fiori, F.; Kovtonyuk, A.; D'Auria, F.

    2012-07-01

    Uncertainty evaluation constitutes a key feature of BEPU (Best Estimate Plus Uncertainty) process. The uncertainty can be the result of a Monte Carlo type analysis involving input uncertainty parameters or the outcome of a process involving the use of experimental data and connected code calculations. Those uncertainty methods are discussed in several papers and guidelines (IAEA-SRS-52, OECD/NEA BEMUSE reports). The present paper aims at discussing the role and the depth of the analysis required for merging from one side suitable experimental data and on the other side qualified code calculation results. This aspect is mostly connected with the second approach for uncertainty mentioned above, but it can be used also in the framework of the first approach. Namely, the paper discusses the features and structure of the database that includes the following kinds of documents: 1. The' RDS-facility' (Reference Data Set for the selected facility): this includes the description of the facility, the geometrical characterization of any component of the facility, the instrumentations, the data acquisition system, the evaluation of pressure losses, the physical properties of the material and the characterization of pumps, valves and heat losses; 2. The 'RDS-test' (Reference Data Set for the selected test of the facility): this includes the description of the main phenomena investigated during the test, the configuration of the facility for the selected test (possible new evaluation of pressure and heat losses if needed) and the specific boundary and initial conditions; 3. The 'QR' (Qualification Report) of the code calculation results: this includes the description of the nodalization developed following a set of homogeneous techniques, the achievement of the steady state conditions and the qualitative and quantitative analysis of the transient with the characterization of the Relevant Thermal-Hydraulics Aspects (RTA); 4. The EH (Engineering Handbook) of the input nodalization

  14. Environmental regulatory update table, April 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-05-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and projection of further action.

  15. Environmental regulatory update table, May 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-06-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental regulatory update table, March 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-04-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. On solar geoengineering and climate uncertainty

    SciTech Connect

    MacMartin, Douglas; Kravitz, Benjamin S.; Rasch, Philip J.

    2015-09-03

    Uncertainty in the climate system response has been raised as a concern regarding solar geoengineering. Here we show that model projections of regional climate change outcomes may have greater agreement under solar geoengineering than with CO2 alone. We explore the effects of geoengineering on one source of climate system uncertainty by evaluating the inter-model spread across 12 climate models participating in the Geoengineering Model Intercomparison project (GeoMIP). The model spread in regional temperature and precipitation changes is reduced with CO2 and a solar reduction, in comparison to the case with increased CO2 alone. That is, the intermodel spread in predictions of climate change and the model spread in the response to solar geoengineering are not additive but rather partially cancel. Furthermore, differences in efficacy explain most of the differences between models in their temperature response to an increase in CO2 that is offset by a solar reduction. These conclusions are important for clarifying geoengineering risks.

  18. Uncertainty in BWR power during ATWS events

    SciTech Connect

    Diamond, D.J.

    1986-01-01

    A study was undertaken to improve our understanding of BWR conditions following the closure of main steam isolation valves and the failure of reactor trip. Of particular interest was the power during the period when the core had reached a quasi-equilibrium condition with a natural circulation flow rate determined by the water level in the downcomer. Insights into the uncertainity in the calculation of this power with sophisticated computer codes were quantified using a simple model which relates power to the principal thermal-hydraulic variables and reactivity coefficients; the latter representing the link between the thermal-hydraulics and the neutronics. Assumptions regarding the uncertainty in these variables and coefficients were then used to determine the uncertainty in power.

  19. Uncertainty estimates for derivatives and intercepts

    SciTech Connect

    Clark, E.L.

    1994-09-01

    Straight line least squares fits of experimental data are widely used in the analysis of test results to provide derivatives and intercepts. A method for evaluating the uncertainty in these parameters is described. The method utilizes conventional least squares results and is applicable to experiments where the independent variable is controlled, but not necessarily free of error. A Monte Carlo verification of the method is given.

  20. Interpolation Uncertainties Across the ARM SGP Area

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

    Interpolation Uncertainties Across the ARM SGP Area J. E. Christy, C. N. Long, and T. R. Shippert Pacific Northwest National Laboratory Richland, Washington Interpolation Grids Across the SGP Network Area The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program operates a network of surface radiation measurement sites across north central Oklahoma and south central Kansas. This Southern Great Plains (SGP) network consists of 21 sites unevenly spaced from 95.5 to 99.5

  1. The IAEA Coordinated Research Program on HTGR Uncertainty Analysis: Phase I Status and Initial Results

    SciTech Connect

    Strydom, Gerhard; Bostelmann, Friederike; Ivanov, Kostadin

    2014-10-01

    The continued development of High Temperature Gas Cooled Reactors (HTGRs) requires verification of HTGR design and safety features with reliable high fidelity physics models and robust, efficient, and accurate codes. One way to address the uncertainties in the HTGR analysis tools is to assess the sensitivity of critical parameters (such as the calculated maximum fuel temperature during loss of coolant accidents) to a few important input uncertainties. The input parameters were identified by engineering judgement in the past but are today typically based on a Phenomena Identification Ranking Table (PIRT) process. The input parameters can also be derived from sensitivity studies and are then varied in the analysis to find a spread in the parameter of importance. However, there is often no easy way to compensate for these uncertainties. In engineering system design, a common approach for addressing performance uncertainties is to add compensating margins to the system, but with passive properties credited it is not so clear how to apply it in the case of modular HTGR heat removal path. Other more sophisticated uncertainty modelling approaches, including Monte Carlo analysis, have also been proposed and applied. Ideally one wishes to apply a more fundamental approach to determine the predictive capability and accuracies of coupled neutronics/thermal-hydraulics and depletion simulations used for reactor design and safety assessment. Today there is a broader acceptance of the use of uncertainty analysis even in safety studies, and it has been accepted by regulators in some cases to replace the traditional conservative analysis. Therefore some safety analysis calculations may use a mixture of these approaches for different parameters depending upon the particular requirements of the analysis problem involved. Sensitivity analysis can for example be used to provide information as part of an uncertainty analysis to determine best estimate plus uncertainty results to the

  2. Representation of analysis results involving aleatory and epistemic uncertainty.

    SciTech Connect

    Johnson, Jay Dean; Helton, Jon Craig; Oberkampf, William Louis; Sallaberry, Cedric J.

    2008-08-01

    Procedures are described for the representation of results in analyses that involve both aleatory uncertainty and epistemic uncertainty, with aleatory uncertainty deriving from an inherent randomness in the behavior of the system under study and epistemic uncertainty deriving from a lack of knowledge about the appropriate values to use for quantities that are assumed to have fixed but poorly known values in the context of a specific study. Aleatory uncertainty is usually represented with probability and leads to cumulative distribution functions (CDFs) or complementary cumulative distribution functions (CCDFs) for analysis results of interest. Several mathematical structures are available for the representation of epistemic uncertainty, including interval analysis, possibility theory, evidence theory and probability theory. In the presence of epistemic uncertainty, there is not a single CDF or CCDF for a given analysis result. Rather, there is a family of CDFs and a corresponding family of CCDFs that derive from epistemic uncertainty and have an uncertainty structure that derives from the particular uncertainty structure (i.e., interval analysis, possibility theory, evidence theory, probability theory) used to represent epistemic uncertainty. Graphical formats for the representation of epistemic uncertainty in families of CDFs and CCDFs are investigated and presented for the indicated characterizations of epistemic uncertainty.

  3. Energy Department Issues Request For Proposal for Nuclear Regulatory...

    Energy Saver

    Nuclear Regulatory Commission Licensed Facilities Procurement Energy Department Issues Request For Proposal for Nuclear Regulatory Commission Licensed Facilities Procurement March ...

  4. Quantification of margins and uncertainty for risk-informed decision analysis.

    SciTech Connect

    Alvin, Kenneth Fredrick

    2010-09-01

    QMU stands for 'Quantification of Margins and Uncertainties'. QMU is a basic framework for consistency in integrating simulation, data, and/or subject matter expertise to provide input into a risk-informed decision-making process. QMU is being applied to a wide range of NNSA stockpile issues, from performance to safety. The implementation of QMU varies with lab and application focus. The Advanced Simulation and Computing (ASC) Program develops validated computational simulation tools to be applied in the context of QMU. QMU provides input into a risk-informed decision making process. The completeness aspect of QMU can benefit from the structured methodology and discipline of quantitative risk assessment (QRA)/probabilistic risk assessment (PRA). In characterizing uncertainties it is important to pay attention to the distinction between those arising from incomplete knowledge ('epistemic' or systematic), and those arising from device-to-device variation ('aleatory' or random). The national security labs should investigate the utility of a probability of frequency (PoF) approach in presenting uncertainties in the stockpile. A QMU methodology is connected if the interactions between failure modes are included. The design labs should continue to focus attention on quantifying uncertainties that arise from epistemic uncertainties such as poorly-modeled phenomena, numerical errors, coding errors, and systematic uncertainties in experiment. The NNSA and design labs should ensure that the certification plan for any RRW is supported by strong, timely peer review and by an ongoing, transparent QMU-based documentation and analysis in order to permit a confidence level necessary for eventual certification.

  5. The waste isolation pilot plant: A new regulatory environment

    SciTech Connect

    Frei, M.W.; Schneider, S.P. ); Saris, E.C.; Austin, P.W. )

    1993-01-01

    The US Department of Energy (DOE) is ready to embark on a multiyear test program, using radioactive waste, at the Waste Isolation Pilot Plant (WIPP). The WIPP is a deep geologic repository, constructed in ancient salt beds in southeastern New Mexico. It was authorized by Congress in 1979 as a research and development facility to demonstrate safe disposal of the nation's defense transuranic (TRU) waste. Nonradioactive testing in the repository has been under way for several years. The DOE is now ready to begin underground experiments at WIPP with small amounts of TRU waste. Radioactive waste testing in an actual repository environment will reduce uncertainties associated with predictions of long-term repository performance. However, the authority for DOE to begin this new phase of the test program no longer resides within the department. The WIPP is now subject to a new level of regulatory oversight by the Environmental Protection Agency (EPA) and other federal agencies, as set forth by Public Law 102-579, the WIPP Land Withdrawal Act, signed by the President on October 30, 1992. This paper discusses the act's new regulatory requirements for WIPP.

  6. Probabilistic accident consequence uncertainty analysis -- Late health effects uncertain assessment. Volume 2: Appendices

    SciTech Connect

    Little, M.P.; Muirhead, C.R.; Goossens, L.H.J.; Kraan, B.C.P.; Cooke, R.M.; Harper, F.T.; Hora, S.C.

    1997-12-01

    The development of two new probabilistic accident consequence codes, MACCS and COSYMA, was completed in 1990. These codes estimate the consequence from the accidental releases of radiological material from hypothesized accidents at nuclear installations. In 1991, the US Nuclear Regulatory Commission and the Commission of the European Communities began cosponsoring a joint uncertainty analysis of the two codes. The ultimate objective of this joint effort was to systematically develop credible and traceable uncertainty distributions for the respective code input variables. A formal expert judgment elicitation and evaluation process was identified as the best technology available for developing a library of uncertainty distributions for these consequence parameters. This report focuses on the results of the study to develop distribution for variables related to the MACCS and COSYMA late health effects models. This volume contains appendices that include (1) a summary of the MACCS and COSYMA consequence codes, (2) the elicitation questionnaires and case structures, (3) the rationales and results for the expert panel on late health effects, (4) short biographies of the experts, and (5) the aggregated results of their responses.

  7. Whitepaper on Uncertainty Quantification for MPACT (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Technical Report: Whitepaper on Uncertainty Quantification for MPACT Citation Details In-Document Search Title: Whitepaper on Uncertainty Quantification for MPACT The MPACT code provides the ability to perform high-fidelity deterministic calculations to obtain a wide variety of detailed results for very complex reactor core models. However MPACT currently does not have the capability to propagate the effects of input data uncertainties to provide uncertainties in the

  8. October 16, 2014 Webinar - Decisional Analysis under Uncertainty |

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

    Department of Energy 6, 2014 Webinar - Decisional Analysis under Uncertainty October 16, 2014 Webinar - Decisional Analysis under Uncertainty Webinar - October 16, 2014, 11 am - 12:40 pm EDT: Dr. Paul Black (Neptune, Inc), Decisional Analysis under Uncertainty Agenda - October 16, 2014 - P&RA CoP Webinar (59.42 KB) Presentation - Decision Making under Uncertainty: Introduction to Structured Decision Analysis for Performance Assessments (4.02 MB) More Documents & Publications PRA in

  9. Remediation of the Faultless Underground Nuclear Test: Moving Forward in the Face of Model Uncertainty

    SciTech Connect

    Chapman, J. B.; Pohlmann, K.; Pohll, G.; Hassan, A.; Sanders, P.; Sanchez, M.; Jaunarajs, S.

    2002-02-26

    parameter values and the additive effects of multiple sources of uncertainty. Ultimately, the question was whether new data collection would substantially reduce uncertainty in the model. A Data Decision Analysis (DDA) was performed to quantify uncertainty in the existing model and determine the most cost-beneficial activities for reducing uncertainty, if reduction was needed. The DDA indicated that though there is large uncertainty present in some model parameters, the overall uncertainty in the calculated contaminant boundary during the 1,000-year regulatory timeframe is relatively small. As a result, limited uncertainty reduction can be expected from expensive characterization activities. With these results, DOE and NDEP have determined that the site model is suitable for moving forward in the corrective action process. Key to this acceptance is acknowledgment that the model requires independent validation data and the site requires long-term monitoring. Developing the validation and monitoring plans, and calculating contaminant boundaries are the tasks now being pursued for the site. The significant progress made for the site is due to the close cooperation and communication of the parties involved and an acceptance and understanding of the role of uncertainty.

  10. Entropic uncertainty relations in multidimensional position and momentum spaces

    SciTech Connect

    Huang Yichen

    2011-05-15

    Commutator-based entropic uncertainty relations in multidimensional position and momentum spaces are derived, twofold generalizing previous entropic uncertainty relations for one-mode states. They provide optimal lower bounds and imply the multidimensional variance-based uncertainty principle. The article concludes with an open conjecture.

  11. HPC Analytics Support. Requirements for Uncertainty Quantification Benchmarks

    SciTech Connect

    Paulson, Patrick R.; Purohit, Sumit; Rodriguez, Luke R.

    2015-05-01

    This report outlines techniques for extending benchmark generation products so they support uncertainty quantification by benchmarked systems. We describe how uncertainty quantification requirements can be presented to candidate analytical tools supporting SPARQL. We describe benchmark data sets for evaluating uncertainty quantification, as well as an approach for using our benchmark generator to produce data sets for generating benchmark data sets.

  12. Uncertainty and Sensitivity Analysis Results Obtained in the 1996 Performance Assessment for the Waste Isolation Pilot Plant

    SciTech Connect

    Bean, J.E.; Berglund, J.W.; Davis, F.J.; Economy, K.; Garner, J.W.; Helton, J.C.; Johnson, J.D.; MacKinnon, R.J.; Miller, J.; O'Brien, D.G.; Ramsey, J.L.; Schreiber, J.D.; Shinta, A.; Smith, L.N.; Stockman, C.; Stoelzel, D.M.; Vaughn, P.

    1998-09-01

    The Waste Isolation Pilot Plant (WPP) is located in southeastern New Mexico and is being developed by the U.S. Department of Energy (DOE) for the geologic (deep underground) disposal of transuranic (TRU) waste. A detailed performance assessment (PA) for the WIPP was carried out in 1996 and supports an application by the DOE to the U.S. Environmental Protection Agency (EPA) for the certification of the WIPP for the disposal of TRU waste. The 1996 WIPP PA uses a computational structure that maintains a separation between stochastic (i.e., aleatory) and subjective (i.e., epistemic) uncertainty, with stochastic uncertainty arising from the many possible disruptions that could occur over the 10,000 yr regulatory period that applies to the WIPP and subjective uncertainty arising from the imprecision with which many of the quantities required in the PA are known. Important parts of this structure are (1) the use of Latin hypercube sampling to incorporate the effects of subjective uncertainty, (2) the use of Monte Carlo (i.e., random) sampling to incorporate the effects of stochastic uncertainty, and (3) the efficient use of the necessarily limited number of mechanistic calculations that can be performed to support the analysis. The use of Latin hypercube sampling generates a mapping from imprecisely known analysis inputs to analysis outcomes of interest that provides both a display of the uncertainty in analysis outcomes (i.e., uncertainty analysis) and a basis for investigating the effects of individual inputs on these outcomes (i.e., sensitivity analysis). The sensitivity analysis procedures used in the PA include examination of scatterplots, stepwise regression analysis, and partial correlation analysis. Uncertainty and sensitivity analysis results obtained as part of the 1996 WIPP PA are presented and discussed. Specific topics considered include two phase flow in the vicinity of the repository, radionuclide release from the repository, fluid flow and radionuclide

  13. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    DOE PAGES [OSTI]

    Pastore, Giovanni; Swiler, L. P.; Hales, Jason D.; Novascone, Stephen R.; Perez, Danielle M.; Spencer, Benjamin W.; Luzzi, Lelio; Uffelen, Paul Van; Williamson, Richard L.

    2014-10-12

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertaintymore » in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.« less

  14. Ultrasonic liquid-level detector for varying temperature and pressure environments

    DOEpatents

    Anderson, R.L.; Miller, G.N.

    1981-10-26

    An ultrasonic liquid level detector for use in varying temperature and pressure environments, such as a pressurized water nuclear reactor vessel, is provided. The detector employs ultrasonic extensional and torsional waves launched in a multiplexed alternating sequence into a common sensor. The sensor is a rectangular cross section stainless steel rod which extends into the liquid medium whose level is to be detected. The sensor temperature derived from the extensional wave velocity measurements is used to compensate for the temperature dependence of the torsional wave velocity measurements which are also level dependent. The torsional wave velocity measurements of a multiple reflection sensor then provide a measurement of liquid level over a range of several meters with a small uncertainty over a temperature range of 20 to 250/sup 0/C and pressures up to 15 MPa.

  15. Simulation Based Method for Measuring Spatially Varying Properties...

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

    Simulation Based Method for Measuring Spatially Varying Properties of Neutral Atoms and Molecules in Plasmas This Invention is a method for extending the region of applicability of...

  16. Switching phase separation mode by varying the hydrophobicity...

    Office of Scientific and Technical Information (OSTI)

    Switching phase separation mode by varying the hydrophobicity of polymer additives in solution-processed semiconducting small-moleculepolymer blends Citation Details In-Document ...

  17. Constraining parity and charge-parity violating varying-alpha...

    Office of Scientific and Technical Information (OSTI)

    Constraining parity and charge-parity violating varying-alpha theory through laboratory experiments Citation Details In-Document Search Title: Constraining parity and charge-parity ...

  18. Tutorial examples for uncertainty quantification methods.

    SciTech Connect

    De Bord, Sarah

    2015-08-01

    This report details the work accomplished during my 2015 SULI summer internship at Sandia National Laboratories in Livermore, CA. During this internship, I worked on multiple tasks with the common goal of making uncertainty quantification (UQ) methods more accessible to the general scientific community. As part of my work, I created a comprehensive numerical integration example to incorporate into the user manual of a UQ software package. Further, I developed examples involving heat transfer through a window to incorporate into tutorial lectures that serve as an introduction to UQ methods.

  19. Environmental Regulatory Update Table, July 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-08-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, November 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental Regulatory Update Table, October 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental regulatory update table, January 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, January 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental regulatory update table, July 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, June 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Sciences Division environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiative so interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, October 1990

    SciTech Connect

    Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Regulatory Update Table, December 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, November 1990

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental regulatory update table, February 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for taht initiative with an abstract and a projection of further action.

  11. Environmental regulatory update table, February 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to Department of Energy (DOE) operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental Regulatory Update Table, May 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-06-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table, December 1990

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1991-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental regulatory update table, June 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental regulatory update table, January 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, March 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-04-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental regulatory update table, December 1987

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, December 1988

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Regulatory Update Table, February 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, September 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental regulatory update table, September 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the /ital Federal Register/ and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, November 1988

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental regulatory update table, June 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental Regulatory Update Table, September 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, April 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Regulatory Update Table, August 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, August 1991

    SciTech Connect

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Sciences Division: Environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental regulatory update table, May 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-06-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental regulatory update table, March 1989

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Environmental Regulatory Update Table, April 1989

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental Regulatory Update Table, December 1989

    SciTech Connect

    Houlbert, L.M.; Langston, M.E. ); Nikbakht, A.; Salk, M.S. )

    1990-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Regulatory Burden RFI | Department of Energy

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

    Cheniere Energy, Inc. ("Cheniere") submits the following comments in response to the Department of Energy's ("DOE" or "Department") request for information and comments concerning "Reducing Regulatory Burden" published in the Federal Register on February 3, 2011. Regulatory Burden RFI (206.63 KB) More Documents & Publications Regulatory Burden RFI [76 FR 75798] SEMI-ANNUAL REPORTS FOR CHENIERE MARKETING, LLC and CORPUS CHRISTIC LIQUEFACTION, LLC -FE

  14. History of Regulatory Oversight at LANL

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

    History of Regulatory Oversight History of Regulatory Oversight at LANL History of Regulatory Oversight at LANL 1943-1950: Manhattan Project Era Few environmental regulations Best available protection technologies employed, though rudimentary 1950s-1970s: Cold War Era Laboratory moved from townsite to current location Advent of national environmental protection laws Clean Air Act Clean Water Act Resource Conservation and Recovery Act (RCRA) 1980s-1990s: Non-proliferation/Stockpile Reduction LANL

  15. Understanding the Energy Policy and Regulatory Environment

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

    Understanding the Energy Policy and Regulatory Environment Douglas MacCourt Senior Policy Advisor Department of Energy, Office of Indian Energy Policy and Programs 2 Presentation Agenda * Regulatory and Policy Considerations o Legal Issues, Interconnection, permitting considerations, Clean Power Plan * Federal, State, & Utility Incentives o Net metering, Renewable Portfolio Standards, ITC * Tools 3 REGULATORY AND POLICY CONSIDERATIONS 4 Legal Issues Legal issues to consider in exploring your

  16. Techniques of analyzing the impacts of certain electric-utility ratemaking and regulatory-policy concepts. Bibliography

    SciTech Connect

    1980-08-01

    This bibliography provides documentation for use by state public utility commissions and major nonregulated utilities in evaluating the applicability of a wide range of electric utility rate design and regulatory concepts in light of certain regulatory objectives. Part I, Utility Regulatory Objectives, contains 2084 citations on conservation of energy and capital; efficient use of facilities and resources; and equitable rates to electricity consumers. Part II, Rate Design Concepts, contains 1238 citations on time-of-day rates; seasonally-varying rates; cost-of-service rates; interruptible rates (including the accompanying use of load management techniques); declining block rates; and lifeline rates. Part III, Regulatory Concepts, contains 1282 references on restrictions on master metering; procedures for review of automatic adjustment clauses; prohibitions of rate or regulatory discrimination against solar, wind, or other small energy systems; treatment of advertising expenses; and procedures to protect ratepayers from abrupt termination of service.

  17. Methodology for characterizing modeling and discretization uncertainties in computational simulation

    SciTech Connect

    ALVIN,KENNETH F.; OBERKAMPF,WILLIAM L.; RUTHERFORD,BRIAN M.; DIEGERT,KATHLEEN V.

    2000-03-01

    This research effort focuses on methodology for quantifying the effects of model uncertainty and discretization error on computational modeling and simulation. The work is directed towards developing methodologies which treat model form assumptions within an overall framework for uncertainty quantification, for the purpose of developing estimates of total prediction uncertainty. The present effort consists of work in three areas: framework development for sources of uncertainty and error in the modeling and simulation process which impact model structure; model uncertainty assessment and propagation through Bayesian inference methods; and discretization error estimation within the context of non-deterministic analysis.

  18. Regulatory Policy Guide/Game Concept Paper

    SciTech Connect

    Driving Ratepayer-Funded Efficiency through Regulatory Policies Working Group

    2011-09-01

    Proposes a new resource for utility regulators to plot a course through regulatory options available to surmount barriers to aggressive and sustained utility investment in energy efficiency programs.

  19. REGULATORY COOPERATION COUNCIL - WORK PLANNING FORMAT: Natural...

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

    COUNCIL - WORK PLANNING FORMAT: Natural Gas Use in Transportation PDF icon RCC Workplan NGV.PDF More Documents & Publications REGULATORY COOPERATION COUNCIL - WORK PLANNING ...

  20. EAC Recommendations Regarding Emerging and Alternative Regulatory...

    Energy.gov [DOE] (indexed site)

    tools, and the use of DOE's convening authority and financial sponsorship. EAC Recommendations Regarding Emerging and Alternative Regulatory Models and Modeling Tools to ...

  1. Restrospective Regulatory Review | Department of Energy

    Energy.gov [DOE] (indexed site)

    On January 18, 2011, President Obama issued Executive Order 13563, Improving Regulation and Regulatory Review, which directs federal agencies, among other things, to review ...

  2. Federal / State Legislative & Regulatory Changes Required for...

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

    ethanol blends Federal State Legislative & Regulatory Changes Required for Introduction of E15 (2.81 MB) More Documents & Publications Vehicle Certification Test Fuel and Ethanol ...

  3. Reducing Regulatory Burden - EO 13563 Retrospective Review |...

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

    Plan for Retrospective Analysis of Existing Rules Regulatory and Financial Reform of Federal Research Policy: Recommendations to the NRC Committee on Research Universities

  4. Uncertainty Budget Analysis for Dimensional Inspection Processes (U)

    SciTech Connect

    Valdez, Lucas M.

    2012-07-26

    This paper is intended to provide guidance and describe how to prepare an uncertainty analysis of a dimensional inspection process through the utilization of an uncertainty budget analysis. The uncertainty analysis is stated in the same methodology as that of the ISO GUM standard for calibration and testing. There is a specific distinction between how Type A and Type B uncertainty analysis is used in a general and specific process. All theory and applications are utilized to represent both a generalized approach to estimating measurement uncertainty and how to report and present these estimations for dimensional measurements in a dimensional inspection process. The analysis of this uncertainty budget shows that a well-controlled dimensional inspection process produces a conservative process uncertainty, which can be attributed to the necessary assumptions in place for best possible results.

  5. Regulatory Analysis of Reactivity Transients

    SciTech Connect

    Beyer, Carl E.; Clifford, Paul M.; Geelhood, Kenneth J.; Voglewede, John C.

    2009-08-01

    This paper will describe modifications made to the FRAPCON-3 and FRAPTRAN fuel performance codes and models that impact reactivity initiated accident (RIA) analyses. The modified models include an upper bound empirical and best estimate release models for fast transients, and a revised fuel failure model that accounts for ductile and brittle failure. Because experimental data exists for discrete test conditions, the codes and models are used to interpolate and to some extent, to extrapolate these test conditions. An upper bound empirical model for release is used to establish new recommended release fractions for long-lived and short lived (radioactive) isotopes for RIA events in Regulatory Guide 1.183. A best estimate release model is used in FRAPTRAN 1.4 based on grain boundary gas concentrations from FRAPCON-3.4 to predict release for RIA events. Code and model predictions will be compared to failure and release data from RIA tests to demonstrate accuracy.

  6. Adaptive strategies for materials design using uncertainties

    DOE PAGES [OSTI]

    Balachandran, Prasanna V.; Xue, Dezhen; Theiler, James; Hogden, John; Lookman, Turab

    2016-01-21

    Here, we compare several adaptive design strategies using a data set of 223 M2AX family of compounds for which the elastic properties [bulk (B), shear (G), and Young’s (E) modulus] have been computed using density functional theory. The design strategies are decomposed into an iterative loop with two main steps: machine learning is used to train a regressor that predicts elastic properties in terms of elementary orbital radii of the individual components of the materials; and a selector uses these predictions and their uncertainties to choose the next material to investigate. The ultimate goal is to obtain a material withmore » desired elastic properties in as few iterations as possible. We examine how the choice of data set size, regressor and selector impact the design. We find that selectors that use information about the prediction uncertainty outperform those that don’t. Our work is a step in illustrating how adaptive design tools can guide the search for new materials with desired properties.« less

  7. Specimen loading list for the varying temperature experiment

    SciTech Connect

    Qualls, A.L.; Sitterson, R.G.

    1998-09-01

    The varying temperature experiment HFIR-RB-13J has been assembled and inserted in the reactor. Approximately 5300 specimens were cleaned, inspected, matched, and loaded into four specimen holders. A listing of each specimen loaded into the steady temperature holder, its position in the capsule, and the identification of the corresponding specimen loaded into the varying temperature holder is presented in this report.

  8. Time varying voltage combustion control and diagnostics sensor

    DOEpatents

    Chorpening, Benjamin T.; Thornton, Jimmy D.; Huckaby, E. David; Fincham, William

    2011-04-19

    A time-varying voltage is applied to an electrode, or a pair of electrodes, of a sensor installed in a fuel nozzle disposed adjacent the combustion zone of a continuous combustion system, such as of the gas turbine engine type. The time-varying voltage induces a time-varying current in the flame which is measured and used to determine flame capacitance using AC electrical circuit analysis. Flame capacitance is used to accurately determine the position of the flame from the sensor and the fuel/air ratio. The fuel and/or air flow rate (s) is/are then adjusted to provide reduced flame instability problems such as flashback, combustion dynamics and lean blowout, as well as reduced emissions. The time-varying voltage may be an alternating voltage and the time-varying current may be an alternating current.

  9. Regulatory Burden RFI: Revitalization of DOE's Role as a Regulatory Watchdog

    Office of Energy Efficiency and Renewable Energy (EERE)

    This Memorandum serves as an Executive Summary of Center for Regulatory Effectiveness’ (CRE’s) attached comments highlighting four issues:

  10. Survey and Evaluate Uncertainty Quantification Methodologies

    SciTech Connect

    Lin, Guang; Engel, David W.; Eslinger, Paul W.

    2012-02-01

    The Carbon Capture Simulation Initiative (CCSI) is a partnership among national laboratories, industry and academic institutions that will develop and deploy state-of-the-art computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. The CCSI Toolset will provide end users in industry with a comprehensive, integrated suite of scientifically validated models with uncertainty quantification, optimization, risk analysis and decision making capabilities. The CCSI Toolset will incorporate commercial and open-source software currently in use by industry and will also develop new software tools as necessary to fill technology gaps identified during execution of the project. The CCSI Toolset will (1) enable promising concepts to be more quickly identified through rapid computational screening of devices and processes; (2) reduce the time to design and troubleshoot new devices and processes; (3) quantify the technical risk in taking technology from laboratory-scale to commercial-scale; and (4) stabilize deployment costs more quickly by replacing some of the physical operational tests with virtual power plant simulations. The goal of CCSI is to deliver a toolset that can simulate the scale-up of a broad set of new carbon capture technologies from laboratory scale to full commercial scale. To provide a framework around which the toolset can be developed and demonstrated, we will focus on three Industrial Challenge Problems (ICPs) related to carbon capture technologies relevant to U.S. pulverized coal (PC) power plants. Post combustion capture by solid sorbents is the technology focus of the initial ICP (referred to as ICP A). The goal of the uncertainty quantification (UQ) task (Task 6) is to provide a set of capabilities to the user community for the quantification of uncertainties associated with the carbon

  11. Use of Quantitative Uncertainty Analysis to Support M&VDecisions in ESPCs

    SciTech Connect

    Mathew, Paul A.; Koehling, Erick; Kumar, Satish

    2005-05-11

    Measurement and Verification (M&V) is a critical elementof an Energy Savings Performance Contract (ESPC) - without M&V, thereisno way to confirm that the projected savings in an ESPC are in factbeing realized. For any given energy conservation measure in an ESPC,there are usually several M&V choices, which will vary in terms ofmeasurement uncertainty, cost, and technical feasibility. Typically,M&V decisions are made almost solely based on engineering judgmentand experience, with little, if any, quantitative uncertainty analysis(QUA). This paper describes the results of a pilot project initiated bythe Department of Energy s Federal Energy Management Program to explorethe use of Monte-Carlo simulation to assess savings uncertainty andthereby augment the M&V decision-making process in ESPCs. The intentwas to use QUA selectively in combination with heuristic knowledge, inorder to obtain quantitative estimates of the savings uncertainty withoutthe burden of a comprehensive "bottoms-up" QUA. This approach was used toanalyze the savings uncertainty in an ESPC for a large federal agency.The QUA was seamlessly integrated into the ESPC development process andthe incremental effort was relatively small with user-friendly tools thatare commercially available. As the case study illustrates, in some casesthe QUA simply confirms intuitive or qualitative information, while inother cases, it provides insight that suggests revisiting the M&Vplan. The case study also showed that M&V decisions should beinformed by the portfolio risk diversification. By providing quantitativeuncertainty information, QUA can effectively augment the M&Vdecision-making process as well as the overall ESPC financialanalysis.

  12. Combined Estimation of Hydrogeologic Conceptual Model, Parameter, and Scenario Uncertainty with Application to Uranium Transport at the Hanford Site 300 Area

    SciTech Connect

    Meyer, Philip D.; Ye, Ming; Rockhold, Mark L.; Neuman, Shlomo P.; Cantrell, Kirk J.

    2007-07-30

    This report to the Nuclear Regulatory Commission (NRC) describes the development and application of a methodology to systematically and quantitatively assess predictive uncertainty in groundwater flow and transport modeling that considers the combined impact of hydrogeologic uncertainties associated with the conceptual-mathematical basis of a model, model parameters, and the scenario to which the model is applied. The methodology is based on a n extension of a Maximum Likelihood implementation of Bayesian Model Averaging. Model uncertainty is represented by postulating a discrete set of alternative conceptual models for a site with associated prior model probabilities that reflect a belief about the relative plausibility of each model based on its apparent consistency with available knowledge and data. Posterior model probabilities are computed and parameter uncertainty is estimated by calibrating each model to observed system behavior; prior parameter estimates are optionally included. Scenario uncertainty is represented as a discrete set of alternative future conditions affecting boundary conditions, source/sink terms, or other aspects of the models, with associated prior scenario probabilities. A joint assessment of uncertainty results from combining model predictions computed under each scenario using as weight the posterior model and prior scenario probabilities. The uncertainty methodology was applied to modeling of groundwater flow and uranium transport at the Hanford Site 300 Area. Eight alternative models representing uncertainty in the hydrogeologic and geochemical properties as well as the temporal variability were considered. Two scenarios represent alternative future behavior of the Columbia River adjacent to the site were considered. The scenario alternatives were implemented in the models through the boundary conditions. Results demonstrate the feasibility of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow

  13. Environmental Sciences Division environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. Any proposed regulation that raises significant issues for any DOE operation should be reported to the Office of Environmental Guidance and Compliance.

  14. Radiotherapy Dose Fractionation under Parameter Uncertainty

    SciTech Connect

    Davison, Matt; Kim, Daero; Keller, Harald

    2011-11-30

    In radiotherapy, radiation is directed to damage a tumor while avoiding surrounding healthy tissue. Tradeoffs ensue because dose cannot be exactly shaped to the tumor. It is particularly important to ensure that sensitive biological structures near the tumor are not damaged more than a certain amount. Biological tissue is known to have a nonlinear response to incident radiation. The linear quadratic dose response model, which requires the specification of two clinically and experimentally observed response coefficients, is commonly used to model this effect. This model yields an optimization problem giving two different types of optimal dose sequences (fractionation schedules). Which fractionation schedule is preferred depends on the response coefficients. These coefficients are uncertainly known and may differ from patient to patient. Because of this not only the expected outcomes but also the uncertainty around these outcomes are important, and it might not be prudent to select the strategy with the best expected outcome.

  15. Geostatistical evaluation of travel time uncertainties

    SciTech Connect

    Devary, J.L.

    1983-08-01

    Data on potentiometric head and hydraulic conductivity, gathered from the Wolfcamp Formation of the Permian System, have exhibited tremendous spatial variability as a result of heterogeneities in the media and the presence of petroleum and natural gas deposits. Geostatistical data analysis and error propagation techniques (kriging and conditional simulation) were applied to determine the effect of potentiometric head uncertainties on radionuclide travel paths and travel times through the Wolfcamp Formation. Blok-average kriging was utilized to remove measurement error from potentiometric head data. The travel time calculations have been enhanced by the use of an inverse technique to determine the relative hydraulic conductivity along travel paths. In this way, the spatial variability of the hydraulic conductivity corresponding to streamline convergence and divergence may be included in the analysis. 22 references, 11 figures, 1 table.

  16. Intrinsic Uncertainties in Modeling Complex Systems.

    SciTech Connect

    Cooper, Curtis S; Bramson, Aaron L.; Ames, Arlo L.

    2014-09-01

    Models are built to understand and predict the behaviors of both natural and artificial systems. Because it is always necessary to abstract away aspects of any non-trivial system being modeled, we know models can potentially leave out important, even critical elements. This reality of the modeling enterprise forces us to consider the prospective impacts of those effects completely left out of a model - either intentionally or unconsidered. Insensitivity to new structure is an indication of diminishing returns. In this work, we represent a hypothetical unknown effect on a validated model as a finite perturba- tion whose amplitude is constrained within a control region. We find robustly that without further constraints, no meaningful bounds can be placed on the amplitude of a perturbation outside of the control region. Thus, forecasting into unsampled regions is a very risky proposition. We also present inherent difficulties with proper time discretization of models and representing in- herently discrete quantities. We point out potentially worrisome uncertainties, arising from math- ematical formulation alone, which modelers can inadvertently introduce into models of complex systems. Acknowledgements This work has been funded under early-career LDRD project %23170979, entitled %22Quantify- ing Confidence in Complex Systems Models Having Structural Uncertainties%22, which ran from 04/2013 to 09/2014. We wish to express our gratitude to the many researchers at Sandia who con- tributed ideas to this work, as well as feedback on the manuscript. In particular, we would like to mention George Barr, Alexander Outkin, Walt Beyeler, Eric Vugrin, and Laura Swiler for provid- ing invaluable advice and guidance through the course of the project. We would also like to thank Steven Kleban, Amanda Gonzales, Trevor Manzanares, and Sarah Burwell for their assistance in managing project tasks and resources.

  17. Fukushima Daiichi Unit 1 Uncertainty Analysis-Exploration of Core Melt Progression Uncertain Parameters-Volume II.

    SciTech Connect

    Denman, Matthew R.; Brooks, Dusty Marie

    2015-08-01

    Sandia National Laboratories (SNL) has conducted an uncertainty analysi s (UA) on the Fukushima Daiichi unit (1F1) accident progression wit h the MELCOR code. Volume I of the 1F1 UA discusses the physical modeling details and time history results of the UA. Volume II of the 1F1 UA discusses the statistical viewpoint. The model used was developed for a previous accident reconstruction investigation jointly sponsored by the US Department of Energy (DOE) and Nuclear Regulatory Commission (NRC). The goal of this work was to perform a focused evaluation of uncertainty in core damage progression behavior and its effect on key figures - of - merit (e.g., hydrogen production, fraction of intact fuel, vessel lower head failure) and in doing so assess the applicability of traditional sensitivity analysis techniques .

  18. Fungi contribute critical but spatially varying roles in nitrogen and

    Office of Scientific and Technical Information (OSTI)

    carbon cycling in acid mine drainage (Journal Article) | DOE PAGES Fungi contribute critical but spatially varying roles in nitrogen and carbon cycling in acid mine drainage Title: Fungi contribute critical but spatially varying roles in nitrogen and carbon cycling in acid mine drainage The ecosystem roles of fungi have been extensively studied by targeting one organism and/or biological process at a time, but the full metabolic potential of fungi has rarely been captured in an environmental

  19. Entanglement criteria via concave-function uncertainty relations

    SciTech Connect

    Huang Yichen

    2010-07-15

    A general theorem as a necessary condition for the separability of quantum states in both finite and infinite dimensional systems, based on concave-function uncertainty relations, is derived. Two special cases of the general theorem are stronger than two known entanglement criteria based on the Shannon entropic uncertainty relation and the Landau-Pollak uncertainty relation, respectively; other special cases are able to detect entanglement where some famous entanglement criteria fail.

  20. Inverse Sensitivity/Uncertainty Methods Development for Nuclear Fuel Cycle

    Office of Scientific and Technical Information (OSTI)

    Applications (Conference) | SciTech Connect Conference: Inverse Sensitivity/Uncertainty Methods Development for Nuclear Fuel Cycle Applications Citation Details In-Document Search Title: Inverse Sensitivity/Uncertainty Methods Development for Nuclear Fuel Cycle Applications The Standardized Computer Analyses for Licensing Evaluation (SCALE) software package developed at the Oak Ridge National Laboratory includes codes that propagate uncertainties available in the nuclear data libraries to

  1. Regulatory analysis technical evaluation handbook. Final report

    SciTech Connect

    1997-01-01

    The purpose of this Handbook is to provide guidance to the regulatory analyst to promote preparation of quality regulatory analysis documents and to implement the policies of the Regulatory Analysis Guidelines of the US Nuclear Regulatory Commission (NUREG/BR-0058 Rev. 2). This Handbook expands upon policy concepts included in the NRC Guidelines and translates the six steps in preparing regulatory analyses into implementable methodologies for the analyst. It provides standardized methods of preparation and presentation of regulatory analyses, with the inclusion of input that will satisfy all backfit requirements and requirements of NRC`s Committee to Review Generic Requirements. Information on the objectives of the safety goal evaluation process and potential data sources for preparing a safety goal evaluation is also included. Consistent application of the methods provided here will result in more directly comparable analyses, thus aiding decision-makers in evaluating and comparing various regulatory actions. The handbook is being issued in loose-leaf format to facilitate revisions. NRC intends to periodically revise the handbook as new and improved guidance, data, and methods become available.

  2. Uncertainty quantification of US Southwest climate from IPCC...

    Office of Scientific and Technical Information (OSTI)

    Title: Uncertainty quantification of US Southwest climate from IPCC projections. The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) made extensive ...

  3. Improvements to Nuclear Data and Its Uncertainties by Theoretical...

    Office of Scientific and Technical Information (OSTI)

    data evaluation process much more accurately, and lead to a new generation of uncertainty quantification files. ... of AFCI. While in the past the design, construction and operation of ...

  4. Variable Grid Method for Visualizing Uncertainty Associated with...

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

    interpretation. In general, NETL's VGM applies a grid system where the size of the cell represents the uncertainty associated with the original point data sources or their...

  5. Improvements of Nuclear Data and Its Uncertainties by Theoretical...

    Office of Scientific and Technical Information (OSTI)

    Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling Talou, Patrick Los Alamos National Laboratory; Nazarewicz, Witold University of Tennessee, Knoxville,...

  6. Improvements of Nuclear Data and Its Uncertainties by Theoretical...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling Citation Details In-Document Search Title: Improvements of Nuclear Data and Its ...

  7. Measurement uncertainty analysis techniques applied to PV performance measurements

    SciTech Connect

    Wells, C.

    1992-10-01

    The purpose of this presentation is to provide a brief introduction to measurement uncertainty analysis, outline how it is done, and illustrate uncertainty analysis with examples drawn from the PV field, with particular emphasis toward its use in PV performance measurements. The uncertainty information we know and state concerning a PV performance measurement or a module test result determines, to a significant extent, the value and quality of that result. What is measurement uncertainty analysis It is an outgrowth of what has commonly been called error analysis. But uncertainty analysis, a more recent development, gives greater insight into measurement processes and tests, experiments, or calibration results. Uncertainty analysis gives us an estimate of the I interval about a measured value or an experiment's final result within which we believe the true value of that quantity will lie. Why should we take the time to perform an uncertainty analysis A rigorous measurement uncertainty analysis: Increases the credibility and value of research results; allows comparisons of results from different labs; helps improve experiment design and identifies where changes are needed to achieve stated objectives (through use of the pre-test analysis); plays a significant role in validating measurements and experimental results, and in demonstrating (through the post-test analysis) that valid data have been acquired; reduces the risk of making erroneous decisions; demonstrates quality assurance and quality control measures have been accomplished; define Valid Data as data having known and documented paths of: Origin, including theory; measurements; traceability to measurement standards; computations; uncertainty analysis of results.

  8. Uncertainty Estimates for SIRS, SKYRAD, & GNDRAD Data and Reprocessing...

    Office of Scientific and Technical Information (OSTI)

    Title: Uncertainty Estimates for SIRS, SKYRAD, & GNDRAD Data and Reprocessing the Pyrgeometer Data (Presentation) The National Renewable Energy Laboratory (NREL) and the ...

  9. Uncertainties in Air Exchange using Continuous-Injection, Long...

    Office of Scientific and Technical Information (OSTI)

    people to minimize experimental costs. In this article we will conduct a first-principles error analysis to estimate the uncertainties and then compare that analysis to CILTS...

  10. Computational Fluid Dynamics & Large-Scale Uncertainty Quantification...

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

    Fluid Dynamics & Large-Scale Uncertainty Quantification for Wind Energy - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure ...

  11. Comparison of Uncertainty of Two Precipitation Prediction Models...

    Office of Scientific and Technical Information (OSTI)

    Prediction Models at Los Alamos National Lab Technical Area 54 Citation Details In-Document Search Title: Comparison of Uncertainty of Two Precipitation Prediction Models ...

  12. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  13. Early solar mass loss, opacity uncertainties, and the solar abundance...

    Office of Scientific and Technical Information (OSTI)

    Early solar mass loss, opacity uncertainties, and the solar abundance problem Citation ... Visit OSTI to utilize additional information resources in energy science and technology. A ...

  14. Inverse Sensitivity/Uncertainty Methods Development for Nuclear...

    Office of Scientific and Technical Information (OSTI)

    Development for Nuclear Fuel Cycle Applications Citation Details In-Document Search Title: Inverse SensitivityUncertainty Methods Development for Nuclear Fuel Cycle ...

  15. A density-matching approach for optimization under uncertainty...

    Office of Scientific and Technical Information (OSTI)

    A density-matching approach for optimization under uncertainty Citation Details ... Journal Name: Computer Methods in Applied Mechanics and Engineering Additional Journal ...

  16. A Unified Approach for Reporting ARM Measurement Uncertainties...

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

    0 A Unified Approach for Reporting ARM Measurement Uncertainties Technical Report E Campos DL Sisterson October 2015 DISCLAIMER This report was prepared as an account of work ...

  17. Characterizing Uncertainty for Regional Climate Change Mitigation and Adaptation Decisions

    SciTech Connect

    Unwin, Stephen D.; Moss, Richard H.; Rice, Jennie S.; Scott, Michael J.

    2011-09-30

    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.

  18. Estimation and Uncertainty Analysis of Impacts of Future Heat...

    Office of Scientific and Technical Information (OSTI)

    However, the estimation of excess mortality attributable to future heat waves is subject to large uncertainties, which have not been examined under the latest greenhouse gas ...

  19. Uncertainty quantification in fission cross section measurements at LANSCE

    SciTech Connect

    Tovesson, F.

    2015-01-09

    Neutron-induced fission cross sections have been measured for several isotopes of uranium and plutonium at the Los Alamos Neutron Science Center (LANSCE) over a wide range of incident neutron energies. The total uncertainties in these measurements are in the range 3–5% above 100 keV of incident neutron energy, which results from uncertainties in the target, neutron source, and detector system. The individual sources of uncertainties are assumed to be uncorrelated, however correlation in the cross section across neutron energy bins are considered. The quantification of the uncertainty contributions will be described here.

  20. Uncertainty quantification in fission cross section measurements at LANSCE

    DOE PAGES [OSTI]

    Tovesson, F.

    2015-01-09

    Neutron-induced fission cross sections have been measured for several isotopes of uranium and plutonium at the Los Alamos Neutron Science Center (LANSCE) over a wide range of incident neutron energies. The total uncertainties in these measurements are in the range 35% above 100 keV of incident neutron energy, which results from uncertainties in the target, neutron source, and detector system. The individual sources of uncertainties are assumed to be uncorrelated, however correlation in the cross section across neutron energy bins are considered. The quantification of the uncertainty contributions will be described here.

  1. Category:Regulatory Roadmap State Sections | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Regulatory Roadmap State Sections Jump to: navigation, search GRR-logo.png Looking for the Regulatory Roadmap? Click here for a user-friendly list of Regulatory Roadmap pages. This...

  2. WE-D-BRE-07: Variance-Based Sensitivity Analysis to Quantify the Impact of Biological Uncertainties in Particle Therapy

    SciTech Connect

    Kamp, F.; Brueningk, S.C.; Wilkens, J.J.

    2014-06-15

    Purpose: In particle therapy, treatment planning and evaluation are frequently based on biological models to estimate the relative biological effectiveness (RBE) or the equivalent dose in 2 Gy fractions (EQD2). In the context of the linear-quadratic model, these quantities depend on biological parameters (α, β) for ions as well as for the reference radiation and on the dose per fraction. The needed biological parameters as well as their dependency on ion species and ion energy typically are subject to large (relative) uncertainties of up to 20–40% or even more. Therefore it is necessary to estimate the resulting uncertainties in e.g. RBE or EQD2 caused by the uncertainties of the relevant input parameters. Methods: We use a variance-based sensitivity analysis (SA) approach, in which uncertainties in input parameters are modeled by random number distributions. The evaluated function is executed 10{sup 4} to 10{sup 6} times, each run with a different set of input parameters, randomly varied according to their assigned distribution. The sensitivity S is a variance-based ranking (from S = 0, no impact, to S = 1, only influential part) of the impact of input uncertainties. The SA approach is implemented for carbon ion treatment plans on 3D patient data, providing information about variations (and their origin) in RBE and EQD2. Results: The quantification enables 3D sensitivity maps, showing dependencies of RBE and EQD2 on different input uncertainties. The high number of runs allows displaying the interplay between different input uncertainties. The SA identifies input parameter combinations which result in extreme deviations of the result and the input parameter for which an uncertainty reduction is the most rewarding. Conclusion: The presented variance-based SA provides advantageous properties in terms of visualization and quantification of (biological) uncertainties and their impact. The method is very flexible, model independent, and enables a broad assessment

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

    SciTech Connect

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

    2013-10-01

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

  4. Sandia Energy - Policy and Regulatory, Codes and Standards

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

    Policy and Regulatory, Codes and Standards Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Solar Market Transformation Policy and Regulatory, Codes...

  5. NEMA Comments on DOE Reducing Regulatory Burden RFI | Department...

    Office of Environmental Management (EM)

    DOE Reducing Regulatory Burden RFI NEMA Comments on DOE Reducing Regulatory Burden RFI The National Electrical Manufacturers Association (NEMA) thanks you for the opportunity to ...

  6. NEMA Comments on Reducing Regulatory Burden | Department of Energy

    Energy Saver

    Reducing Regulatory Burden NEMA Comments on Reducing Regulatory Burden The National Electrical Manufacturers Association (NEMA) thanks you for the opportunity to provide comments ...

  7. Maryland-National Capital Building Industry Association Regulatory...

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

    Maryland-National Capital Building Industry Association Regulatory Burden RFI (Federal Register August 8, 2012) Maryland-National Capital Building Industry Association Regulatory ...

  8. Public Utility Regulatory Policies Act of 1978 (PURPA) as Applicable...

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

    Utility Regulatory Policies Act of 1978 (PURPA) as Applicable to the Energy Policy Act of 2005 (EPACT 2005) -List of Covered Electric Utilities - 2006 Public Utility Regulatory ...

  9. Public Utility Regulatory Policies Act of 1978 (PURPA) as Applicable...

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

    Public Utility Regulatory Policies Act of 1978 (PURPA) as Applicable to the Energy Policy Act of 2005 (EPACT 2005) - List of Covered Electric Utilities. Public Utility Regulatory ...

  10. Comments from The National Association of Regulatory Utility...

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

    from The National Association of Regulatory Utility Commissioners (NARUC) on the Smart Grid RFI Comments from The National Association of Regulatory Utility Commissioners (NARUC) ...

  11. 7/24/2014 DOE Natural Gas Regulatory...

    Energy.gov [DOE] (indexed site)

    42014 DOE Natural Gas Regulatory E-filing Application https:app.fossil.energy.govappfergasApplicationAction.go 12 Basic Information Natural Gas Regulatory E-filing...

  12. General Renewable Energy-Policy and Regulatory Studies | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    and Regulatory Studies Jump to: navigation, search Tool Summary LAUNCH TOOL Name: General Renewable Energy-Policy and Regulatory Studies AgencyCompany Organization: World Bank...

  13. Washington Air Quality Notice of Construction Permit Regulatory...

    OpenEI (Open Energy Information) [EERE & EIA]

    Air Quality Notice of Construction Permit Regulatory Handbook Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook:...

  14. April Tribal Webinar on Energy Policy and Regulatory Environment...

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

    April Tribal Webinar on Energy Policy and Regulatory Environment Rescheduled for May 4 April Tribal Webinar on Energy Policy and Regulatory Environment Rescheduled for May 4 April ...

  15. Category:Geothermal Regulatory Roadmap Sections | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Regulatory Roadmap Sections Jump to: navigation, search GRR-logo.png Looking for the Geothermal Regulatory Roadmap? Click here for a user-friendly list of Geothermal...

  16. Category:Regulatory Roadmap Federal Sections | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Datasets Community Login | Sign Up Search Category Edit History Category:Regulatory Roadmap Federal Sections Jump to: navigation, search GRR-logo.png Looking for the Regulatory...

  17. Effective Regulatory Institutions: The Regulator's Role in the...

    OpenEI (Open Energy Information) [EERE & EIA]

    Regulatory Institutions: The Regulator's Role in the Policy Process, Including Issues of Regulatory Independence Jump to: navigation, search Tool Summary LAUNCH TOOL Name:...

  18. Department of Energy Commends the Nuclear Regulatory Commission...

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

    Commends the Nuclear Regulatory Commission's Approval of a Second Early Site Permit in Just One Month Department of Energy Commends the Nuclear Regulatory Commission's Approval of ...

  19. Department of Energy and Nuclear Regulatory Commission Increase...

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

    Nuclear Regulatory Commission Increase Cooperation to Advance Global Nuclear Energy Partnership Department of Energy and Nuclear Regulatory Commission Increase Cooperation to ...

  20. Energy Praises the Nuclear Regulatory Commission Approval of...

    Office of Environmental Management (EM)

    Praises the Nuclear Regulatory Commission Approval of the First United States Nuclear Plant Site in Over 30 Years Energy Praises the Nuclear Regulatory Commission Approval of the ...

  1. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Energy Saver

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart ...

  2. Canada-United States Regulatory Cooperation Council Webinar:...

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

    Canada-United States Regulatory Cooperation Council Webinar: Proposed Approach for Energy Efficiency Standards Canada-United States Regulatory Cooperation Council Webinar: Proposed ...

  3. CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar:...

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

    CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Work Plan Development - 201617; April 12, 2016 CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Work Plan ...

  4. Department of Energy Request for Information: Reducing Regulatory...

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

    Request for Information: Reducing Regulatory Burden (Reply Comments) Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) Comments on RFI on ...

  5. .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory...

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

    Association's Comments on DOE's Regulatory Burden RFI .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden RFI Comments from Hearth, Patio & Barbecue ...

  6. Microsoft Word - AGA Comments on 2011 Regulatory Burden RFI ...

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

    AGA Comments on 2011 Regulatory Burden RFI Microsoft Word - AGA Comments on 2011 ... 76, No. 23, February 3, 2011 PDF icon Microsoft Word - AGA Comments on 2011 Regulatory ...

  7. Re: Request for Information on Regulatory Burden of DOE Regulations...

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

    PDF icon Re: Request for Information on Regulatory Burden of DOE Regulations More Documents & Publications Edison Electric Institute (EEI) Reducing Regulatory Burden RFI, 77 Fed. ...

  8. Carbon Capture, Transport and Storage Regulatory Test Exercise...

    OpenEI (Open Energy Information) [EERE & EIA]

    Capture, Transport and Storage Regulatory Test Exercise: Output Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Capture, Transport and Storage Regulatory...

  9. Category:Regulatory Roadmap Flowcharts | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    flowcharts Subcategories This category has the following 2 subcategories, out of 2 total. G Geothermal Regulatory Roadmap Flowcharts S Solar Regulatory Roadmap...

  10. Energy Department Develops Regulatory Roadmap to Spur Geothermal Energy Development

    Energy.gov [DOE]

    The Energy Department today issued a Geothermal Regulatory Roadmap that will help developers navigate regulatory requirements at every level of government to deploy geothermal energy projects.

  11. SEVENTH RFI COMMENTS ON REDUCING REGULATORY BURDEN

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’ issued by the President on January 18, 2011, the Department of Energy (Department or DOE) is...

  12. Sixth RFI Comment On Reducing Regulatory Burden

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’ issued by the President on January 18, 2011, the Department of Energy(Department or DOE) is...

  13. Fourth RFI Comment on Regulatory Review

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’ issued by the President on January 18, 2011, the Department of Energy (Department or DOE) is...

  14. Small Business Regulatory Enforcement Fairness Act Information

    Energy.gov [DOE]

    Small Business Regulatory Enforcement Fairness Act of 1996 (SBREFA) OSDBU is a resource for small businesses seeking information concerning the rules and regulations regarding all federal agencies and their relationships with the small business community.

  15. AHAM Comments_Regulatory Burden RFI

    Energy.gov [DOE]

    The Association of Home Appliance Manufacturers (AHAM) respectfully submits the following comments to the Department of Energy (DOE) on its Regulatory Burden RFI, 81 Fed. Reg. 28736 (May 10, 2016).

  16. Reducing Regulatory Burden EO 13563 Third RFI

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’ issued by the President on January 18, 2011, the Department of Energy (Department or DOE) is...

  17. Reducing Regulatory Burden EO 13563 Fifth RFI

    Office of Energy Efficiency and Renewable Energy (EERE)

    As part of its implementation of Executive Order 13563, ‘‘Improving Regulation and Regulatory Review,’’ issued by the President on January 18, 2011, the Department of Energy(Department or DOE) is...

  18. NUCLEAR REGULATORY,.COMMISSION REGION I

    Office of Legacy Management (LM)

    ... & Lab Branch Division of Nuclear Materials Safety Docket No. 040-07964 License No. ... U.S. NUCLEAR REGULATORY COMblISSION REGION I INSPECTION REPORT Report No. 040-0796496-001 ...

  19. Principles of regulatory information conservation between mouse and human

    DOE PAGES [OSTI]

    Cheng, Yong; Ma, Zhihai; Kim, Bong-Hyun; Wu, Weisheng; Cayting, Philip; Boyle, Alan P.; Sundaram, Vasavi; Xing, Xiaoyun; Dogan, Nergiz; Li, Jingjing; et al

    2014-11-19

    To broaden our understanding of the evolution of gene regulation mechanisms, we generated occupancy profiles for 34 orthologous transcription factors (TFs) in human–mouse erythroid progenitor, lymphoblast and embryonic stem-cell lines. By combining the genome-wide transcription factor occupancy repertoires, associated epigenetic signals, and co-association patterns, here we deduce several evolutionary principles of gene regulatory features operating since the mouse and human lineages diverged. The genomic distribution profiles, primary binding motifs, chromatin states, and DNA methylation preferences are well conserved for TF-occupied sequences. However, the extent to which orthologous DNA segments are bound by orthologous TFs varies both among TFs and withmore » genomic location: binding at promoters is more highly conserved than binding at distal elements. Notably, occupancy-conserved TF-occupied sequences tend to be pleiotropic; they function in several tissues and also co-associate with many TFs. Lastly, single nucleotide variants at sites with potential regulatory functions are enriched in occupancy-conserved TF-occupied sequences.« less

  20. Principles of regulatory information conservation between mouse and human

    SciTech Connect

    Cheng, Yong; Ma, Zhihai; Kim, Bong-Hyun; Wu, Weisheng; Cayting, Philip; Boyle, Alan P.; Sundaram, Vasavi; Xing, Xiaoyun; Dogan, Nergiz; Li, Jingjing; Euskirchen, Ghia; Lin, Shin; Lin, Yiing; Visel, Axel; Kawli, Trupti; Yang, Xinqiong; Patacsil, Dorrelyn; Keller, Cheryl A.; Giardine, Belinda; Kundaje, Anshul; Wang, Ting; Pennacchio, Len A.; Weng, Zhiping; Hardison, Ross C.; Snyder, Michael P.

    2014-11-19

    To broaden our understanding of the evolution of gene regulation mechanisms, we generated occupancy profiles for 34 orthologous transcription factors (TFs) in human–mouse erythroid progenitor, lymphoblast and embryonic stem-cell lines. By combining the genome-wide transcription factor occupancy repertoires, associated epigenetic signals, and co-association patterns, here we deduce several evolutionary principles of gene regulatory features operating since the mouse and human lineages diverged. The genomic distribution profiles, primary binding motifs, chromatin states, and DNA methylation preferences are well conserved for TF-occupied sequences. However, the extent to which orthologous DNA segments are bound by orthologous TFs varies both among TFs and with genomic location: binding at promoters is more highly conserved than binding at distal elements. Notably, occupancy-conserved TF-occupied sequences tend to be pleiotropic; they function in several tissues and also co-associate with many TFs. Lastly, single nucleotide variants at sites with potential regulatory functions are enriched in occupancy-conserved TF-occupied sequences.

  1. Portsmouth Site Regulatory Agreements | Department of Energy

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

    Site Regulatory Agreements Portsmouth Site Regulatory Agreements Portsmouth Administrative Consent Order - 1997 (2.92 MB) Portsmouth Ohio Consent Decree - 1989 (2.69 MB) Portsmouth Removal Action and Remedial Investigation and Feasibility Study and Remedial Design and Remedial Action (D&D Orders) Project Director's Final Findings and Order, Mods. 2011, 2012 (13.24 MB) Portsmouth Integration Director's Final Findings and Order - 2011 (20.16 MB) Portsmouth DUF6 Director's Final Findings and

  2. Regulatory Burden RFI | Department of Energy

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

    The Association of Home Appliance Manufacturers (AHAM) respectfully submits the following comments to the Department of Energy (DOE) on its Request for Information on reducing regulatory burden, 76 Fed. Reg. 6123 (Feb. 3, 2011). Regulatory Burden RFI (340.84 KB) More Documents & Publications WPN 00-5: Approval of Replacement Refrigerators and Electric Water Heaters as Allowable Weatherization Measures TEE-0012 - In the Matter of Electrolux Home Products, Inc. TEE-0022 - In the Matter of

  3. EVALUATION REPORT The Federal Energy Regulatory Commission's

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

    Federal Energy Regulatory Commission's Unclassified Cybersecurity Program - 2014 OAS-L-15-03 November 2014 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 November 3, 2014 MEMORANDUM FOR THE EXECUTIVE DIRECTOR, FEDERAL ENERGY REGULATORY COMMISSION FROM: Daniel M. Weeber Assistant Inspector General for Audits and Administration Office of Inspector General SUBJECT: INFORMATION: Evaluation Report on "The Federal

  4. Quantifying and Reducing Curve-Fitting Uncertainty in Isc: Preprint

    SciTech Connect

    Campanelli, Mark; Duck, Benjamin; Emery, Keith

    2015-09-28

    Current-voltage (I-V) curve measurements of photovoltaic (PV) devices are used to determine performance parameters and to establish traceable calibration chains. Measurement standards specify localized curve fitting methods, e.g., straight-line interpolation/extrapolation of the I-V curve points near short-circuit current, Isc. By considering such fits as statistical linear regressions, uncertainties in the performance parameters are readily quantified. However, the legitimacy of such a computed uncertainty requires that the model be a valid (local) representation of the I-V curve and that the noise be sufficiently well characterized. Using more data points often has the advantage of lowering the uncertainty. However, more data points can make the uncertainty in the fit arbitrarily small, and this fit uncertainty misses the dominant residual uncertainty due to so-called model discrepancy. Using objective Bayesian linear regression for straight-line fits for Isc, we investigate an evidence-based method to automatically choose data windows of I-V points with reduced model discrepancy. We also investigate noise effects. Uncertainties, aligned with the Guide to the Expression of Uncertainty in Measurement (GUM), are quantified throughout.

  5. Avoiding climate change uncertainties in Strategic Environmental Assessment

    SciTech Connect

    Larsen, Sanne Vammen; Krnv, Lone; Driscoll, Patrick

    2013-11-15

    This article is concerned with how Strategic Environmental Assessment (SEA) practice handles climate change uncertainties within the Danish planning system. First, a hypothetical model is set up for how uncertainty is handled and not handled in decision-making. The model incorporates the strategies reduction and resilience, denying, ignoring and postponing. Second, 151 Danish SEAs are analysed with a focus on the extent to which climate change uncertainties are acknowledged and presented, and the empirical findings are discussed in relation to the model. The findings indicate that despite incentives to do so, climate change uncertainties were systematically avoided or downplayed in all but 5 of the 151 SEAs that were reviewed. Finally, two possible explanatory mechanisms are proposed to explain this: conflict avoidance and a need to quantify uncertainty.

  6. KWOC (Key-Word-Out-of-Context) Index of US Nuclear Regulatory Commission Regulatory Guide Series

    SciTech Connect

    Jennings, S.D.

    1990-04-01

    To meet the objectives of the program funded by the Department of Energy (DOE)-Nuclear Energy (NE) Technology Support Programs, the Performance Assurance Project Office (PAPO) administers a Performance Assurance Information Program that collects, compiles, and distributes program-related information, reports, and publications for the benefit of the DOE-NE program participants. THE KWOC Index of US Nuclear Regulatory Commission Regulatory Guide Series'' is prepared as an aid in searching for specific topics in the US Nuclear Regulatory Commission, Regulatory Guide Series.

  7. Uncertainty quantification and global sensitivity analysis of the Los Alamos sea ice model

    DOE PAGES [OSTI]

    Urrego-Blanco, Jorge Rolando; Urban, Nathan Mark; Hunke, Elizabeth Clare; Turner, Adrian Keith; Jeffery, Nicole

    2016-04-22

    Changes in the high-latitude climate system have the potential to affect global climate through feedbacks with the atmosphere and connections with midlatitudes. Sea ice and climate models used to understand these changes have uncertainties that need to be characterized and quantified. We present a quantitative way to assess uncertainty in complex computer models, which is a new approach in the analysis of sea ice models. We characterize parametric uncertainty in the Los Alamos sea ice model (CICE) in a standalone configuration and quantify the sensitivity of sea ice area, extent, and volume with respect to uncertainty in 39 individual modelmore » parameters. Unlike common sensitivity analyses conducted in previous studies where parameters are varied one at a time, this study uses a global variance-based approach in which Sobol' sequences are used to efficiently sample the full 39-dimensional parameter space. We implement a fast emulator of the sea ice model whose predictions of sea ice extent, area, and volume are used to compute the Sobol' sensitivity indices of the 39 parameters. Main effects and interactions among the most influential parameters are also estimated by a nonparametric regression technique based on generalized additive models. A ranking based on the sensitivity indices indicates that model predictions are most sensitive to snow parameters such as snow conductivity and grain size, and the drainage of melt ponds. Lastly, it is recommended that research be prioritized toward more accurately determining these most influential parameter values by observational studies or by improving parameterizations in the sea ice model.« less

  8. Soil Segregation technology: reducing uncertainty and increasing efficiency during radiological decommissioning - a case study

    SciTech Connect

    Lombardo, A.J.; Orthen, R.F.; Shonka, J.J.; Scott, L.M.

    2007-07-01

    The regulatory release of sites and facilities (property) for restricted or unrestricted use has evolved beyond prescribed levels to model-derived dose and risk based limits. Dose models for deriving corresponding soil radionuclide concentration guidelines are necessarily simplified representations of complex processes. It is not practical to obtain data to fully or accurately characterize transport and exposure pathway processes. Similarly, it is not possible to predict future conditions with certainty absent durable land use restrictions. To compensate for the shortage of comprehensive characterization data and site specific inputs to describe the projected 'as-left' contaminated zone, conservative default values are used to derive acceptance criteria. The result is overly conservative criteria. Furthermore, implementation of a remediation plan and subsequent final surveys to show compliance with the conservative criteria often result in excessive remediation due to the large uncertainty. During a recent decommissioning project of a site contaminated with thorium, a unique approach to dose modeling and remedial action design was implemented to effectively manage end-point uncertainty. The approach used a dynamic feedback dose model and soil segregation technology to characterize impacted material with precision and accuracy not possible with static control approaches. Utilizing the remedial action goal 'over excavation' and subsequent auto-segregation of excavated material for refill, the end-state (as-left conditions of the refilled excavation) RESRAD input parameters were re-entered to assess the final dose. The segregation process produced separate below and above criteria material stockpiles whose volumes were optimized for maximum refill and minimum waste. The below criteria material was returned to the excavation without further analysis, while the above criteria material was packaged for offsite disposal. Using the activity concentration data recorded by

  9. Regulatory Closure Options for the Residue in the Hanford Site Single-Shell Tanks

    SciTech Connect

    Cochran, J.R. Shyr, L.J.

    1998-10-05

    Liquid, mixed, high-level radioactive waste (HLW) has been stored in 149 single-shell tanks (SSTS) located in tank farms on the U.S. Department of Energy's (DOE's) Hanford Site. The DOE is developing technologies to retrieve as much remaining HLW as technically possible prior to physically closing the tank farms. In support of the Hanford Tanks Initiative, Sandia National Laboratories has addressed the requirements for the regulatory closure of the radioactive component of any SST residue that may remain after physical closure. There is significant uncertainty about the end state of each of the 149 SSTS; that is, the nature and amount of wastes remaining in the SSTS after retrieval is uncertain. As a means of proceeding in the face of these uncertainties, this report links possible end-states with associated closure options. Requirements for disposal of HLW and low-level radioactive waste (LLW) are reviewed in detail. Incidental waste, which is radioactive waste produced incidental to the further processing of HLW, is then discussed. If the low activity waste (LAW) fraction from the further processing of HLW is determined to be incidental waste, then DOE can dispose of that incidental waste onsite without a license from the U.S. Nuclear Regulatory Commissions (NRC). The NRC has proposed three Incidental Waste Criteria for determining if a LAW fraction is incidental waste. One of the three Criteria is that the LAW fraction should not exceed the NRC's Class C limits.

  10. Nuclear Data Uncertainty Propagation in Depletion Calculations Using Cross Section Uncertainties in One-group or Multi-group

    SciTech Connect

    Díez, C.J.; Cabellos, O.; Martínez, J.S.

    2015-01-15

    Several approaches have been developed in last decades to tackle nuclear data uncertainty propagation problems of burn-up calculations. One approach proposed was the Hybrid Method, where uncertainties in nuclear data are propagated only on the depletion part of a burn-up problem. Because only depletion is addressed, only one-group cross sections are necessary, and hence, their collapsed one-group uncertainties. This approach has been applied successfully in several advanced reactor systems like EFIT (ADS-like reactor) or ESFR (Sodium fast reactor) to assess uncertainties on the isotopic composition. However, a comparison with using multi-group energy structures was not carried out, and has to be performed in order to analyse the limitations of using one-group uncertainties.

  11. Regulatory Burden Request for Information | Department of Energy

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

    Request for Information Regulatory Burden Request for Information Response to Regulatory Burden RFI Regulatory Burden Request for Information (46.48 KB) More Documents & Publications DOE Preliminary Plan for Retrospective Analysis of Existing Rules DOE_05_18_2011.pdf Regulatory Burden RFI - Docket No. DOE-HQ-2011-0014-0001

  12. Regulatory Considerations for Developing Generation Projects on Federal

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

    Lands | Department of Energy Regulatory Considerations for Developing Generation Projects on Federal Lands Regulatory Considerations for Developing Generation Projects on Federal Lands Presentation covers regulatory considerations for developing generation projects on federal lands. Download the presentation on regulatory considerations for developing generation projects on federal lands. (309.17 KB) More Documents & Publications Coordinating Interstate ElectricTransmission Siting: An

  13. US Nuclear Regulatory Commission functional organization charts, March 15, 1993

    SciTech Connect

    Not Available

    1993-03-01

    Functional organization charts for the US Nuclear Regulatory Commission offices, divisions, and branches are presented.

  14. U. S. Nuclear Regulatory Commission functional organization charts

    SciTech Connect

    Not Available

    1989-07-01

    Functional organization charts for the US Nuclear Regulatory Commission offices, divisions and branches are presented.

  15. The IAEA Coordinated Research Program on HTGR Reactor Physics, Thermal-hydraulics and Depletion Uncertainty Analysis: Description of the Benchmark Test Cases and Phases

    SciTech Connect

    Frederik Reitsma; Gerhard Strydom; Bismark Tyobeka; Kostadin Ivanov

    2012-10-01

    The continued development of High Temperature Gas Cooled Reactors (HTGRs) requires verification of design and safety features with reliable high fidelity physics models and robust, efficient, and accurate codes. The uncertainties in the HTR analysis tools are today typically assessed with sensitivity analysis and then a few important input uncertainties (typically based on a PIRT process) are varied in the analysis to find a spread in the parameter of importance. However, one wish to apply a more fundamental approach to determine the predictive capability and accuracies of coupled neutronics/thermal-hydraulics and depletion simulations used for reactor design and safety assessment. Today there is a broader acceptance of the use of uncertainty analysis even in safety studies and it has been accepted by regulators in some cases to replace the traditional conservative analysis. Finally, there is also a renewed focus in supplying reliable covariance data (nuclear data uncertainties) that can then be used in uncertainty methods. Uncertainty and sensitivity studies are therefore becoming an essential component of any significant effort in data and simulation improvement. In order to address uncertainty in analysis and methods in the HTGR community the IAEA launched a Coordinated Research Project (CRP) on the HTGR Uncertainty Analysis in Modelling early in 2012. The project is built on the experience of the OECD/NEA Light Water Reactor (LWR) Uncertainty Analysis in Best-Estimate Modelling (UAM) benchmark activity, but focuses specifically on the peculiarities of HTGR designs and its simulation requirements. Two benchmark problems were defined with the prismatic type design represented by the MHTGR-350 design from General Atomics (GA) while a 250 MW modular pebble bed design, similar to the INET (China) and indirect-cycle PBMR (South Africa) designs are also included. In the paper more detail on the benchmark cases, the different specific phases and tasks and the latest

  16. Mapping and Simulating Systematics Due to Spatially-Varying Observing Conditions in DES Science Verification Data

    SciTech Connect

    Leistedt, B.

    2015-07-20

    Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. We illustrate the complementarity of these two approaches by comparing the SV data with the BCC-UFig, a synthetic sky catalogue generated by forward-modelling of the DES SV images. We then analyse the BCC-UFig simulation to construct galaxy samples mimicking those used in SV galaxy clustering studies. We show that the spatially-varying survey depth imprinted in the observed galaxy densities and the redshift distributions of the SV data are successfully reproduced by the simulation and well-captured by the maps of observing conditions. The combined use of the maps, the SV data and the BCC-UFig simulation allows us to quantify the impact of spatial systematics on N(z), the redshift distributions inferred using photometric redshifts. We conclude that spatial systematics in the SV data are mainly due to seeing fluctuations and are under control in current clustering and weak lensing analyses. However, they will need to be carefully characterised in upcoming phases of DES in order to avoid biasing the inferred cosmological results. The framework presented is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope, which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the

  17. Measurement uncertainty analysis techniques applied to PV performance measurements

    SciTech Connect

    Wells, C.

    1992-10-01

    The purpose of this presentation is to provide a brief introduction to measurement uncertainty analysis, outline how it is done, and illustrate uncertainty analysis with examples drawn from the PV field, with particular emphasis toward its use in PV performance measurements. The uncertainty information we know and state concerning a PV performance measurement or a module test result determines, to a significant extent, the value and quality of that result. What is measurement uncertainty analysis? It is an outgrowth of what has commonly been called error analysis. But uncertainty analysis, a more recent development, gives greater insight into measurement processes and tests, experiments, or calibration results. Uncertainty analysis gives us an estimate of the I interval about a measured value or an experiment`s final result within which we believe the true value of that quantity will lie. Why should we take the time to perform an uncertainty analysis? A rigorous measurement uncertainty analysis: Increases the credibility and value of research results; allows comparisons of results from different labs; helps improve experiment design and identifies where changes are needed to achieve stated objectives (through use of the pre-test analysis); plays a significant role in validating measurements and experimental results, and in demonstrating (through the post-test analysis) that valid data have been acquired; reduces the risk of making erroneous decisions; demonstrates quality assurance and quality control measures have been accomplished; define Valid Data as data having known and documented paths of: Origin, including theory; measurements; traceability to measurement standards; computations; uncertainty analysis of results.

  18. Evaluation of regulatory guides potentially useful to geologic repository development

    SciTech Connect

    Chang, W.Y.

    1986-01-01

    The US Regulatory Commission Regulatory Guide series provides a set of regulatory and technical guidelines for achieving and demonstrating regulatory compliance for various segments of the nuclear fuel cycle. Of these regulatory guides only few specifically pertain to high-level waste repository activities. The overwhelming majority pertain to other, more mature aspects of the nuclear cycle. It is believed that conscientious, reasoned application of the fundamental regulatory bases underlying the positions in these other regulatory guides could provide a solid regulatory starting point for repository development activities. This information report provides a summary screening of regulatory guides published as of September 1983 and provides an initial assessment of the potential usefulness of these regulatory guides to repository design and operation activities.

  19. Calibration and Measurement Uncertainty Estimation of Radiometric Data: Preprint

    SciTech Connect

    Habte, A.; Sengupta, M.; Reda, I.; Andreas, A.; Konings, J.

    2014-11-01

    Evaluating the performance of photovoltaic cells, modules, and arrays that form large solar deployments relies on accurate measurements of the available solar resource. Therefore, determining the accuracy of these solar radiation measurements provides a better understanding of investment risks. This paper provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements by radiometers using methods that follow the International Bureau of Weights and Measures Guide to the Expression of Uncertainty (GUM). Standardized analysis based on these procedures ensures that the uncertainty quoted is well documented.

  20. A performance-based regulatory approach to increase the efficiency of the regulatory process

    SciTech Connect

    Dey, M. )

    1993-01-01

    The US Nuclear Regulatory Commission (NRC) has adopted as a fundamental principle that all regulatory burdens must be justified and that its regulatory process must be efficient. The reasons for seeking to remove marginal-to-safety regulations are to eliminate or modify regulations where burdens are not commensurate with their safety significance and thus free up resources and improve the focus and effectiveness of the body of regulations. As a result, the NRC has for some time been pursuing programs consistent with this philosophy. It now plans to institutionalize a continuing effort of regulatory burden reduction to ensure such efforts are permanently integrated into its regulatory process. The NRC believes such efforts are important to its mission and the industry it regulates.

  1. CRE_Response-DOE_Regulatory_Review_Request_for_Comments.pdf

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

    Center for Regulatory Effectiveness 1601 Connecticut Avenue, N.W. Washington, DC, 20009 Tel: (202) 265-2383 Fax: (202) 939-6969 secretary1@mbsdc.com www.TheCRE.com 1 REGULATORY REVIEW MEMORANDUM To: Department of Energy From: Jim Tozzi Subject: Regulatory Burden Request for Information Date: September 4, 2012 CC: Boris Bershteyn/Office of Information and Regulatory Affairs This Memorandum serves as an Executive Summary of Center for Regulatory Effectiveness' (CRE's) attached comments

  2. Department of Energy Request for Information: Reducing Regulatory Burden

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

    (Reply Comments) | Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) Comments on RFI on reducing regulatory burden Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) (89.49 KB) More Documents & Publications Re: Regulatory Burden RFI RegReview_ReplyComments_Lennox_Hearth_Products.PDF .Hearth, Patio & Barbecue

  3. Comments on reducing regulatory burden | Department of Energy

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

    reducing regulatory burden Comments on reducing regulatory burden Comments on reducing regulatory burden from Ingersoll Rand, Residential Solutions, manufacturer of Trane and American Standard residential air conditioners, heat pumps, furnaces, and accessories Comments on reducing regulatory burden (115.32 KB) More Documents & Publications Regulatory Burden RFI [76 FR 75798] Notice of Availability of Preliminary Plan for Retrospective Analysis of Existing Rules 2014-09-18 Issuance: Energy

  4. DOE Ex Parte Memorandum - Center for Regulatory Effectiveness | Department

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

    of Energy Memorandum - Center for Regulatory Effectiveness DOE Ex Parte Memorandum - Center for Regulatory Effectiveness The Center for Regulatory Effectiveness (CRE) is submitting this memorandum pursuant to the Department of Energy's (DOE) Guidance on Ex Parte Communications. Center_for_Reg_Effectiveness.pdf (169.94 KB) More Documents & Publications DOE Review of Regulations - Center for Regulatory Effectiveness Comments Regulatory Burden RFI: Revitalization of DOE's Role as a

  5. Varied morphology carbon nanotubes and method for their manufacture

    DOEpatents

    Li, Wenzhi; Wen, Jian Guo; Ren, Zhi Feng

    2007-01-02

    The present invention describes the preparation of carbon nanotubes of varied morphology, catalyst materials for their synthesis. The present invention also describes reactor apparatus and methods of optimizing and controlling process parameters for the manufacture carbon nanotubes with pre-determined morphologies in relatively high purity and in high yields. In particular, the present invention provides methods for the preparation of non-aligned carbon nanotubes with controllable morphologies, catalyst materials and methods for their manufacture.

  6. Method and apparatus of prefetching streams of varying prefetch depth

    DOEpatents

    Gara, Alan; Ohmacht, Martin; Salapura, Valentina; Sugavanam, Krishnan; Hoenicke, Dirk

    2012-01-24

    Method and apparatus of prefetching streams of varying prefetch depth dynamically changes the depth of prefetching so that the number of multiple streams as well as the hit rate of a single stream are optimized. The method and apparatus in one aspect monitor a plurality of load requests from a processing unit for data in a prefetch buffer, determine an access pattern associated with the plurality of load requests and adjust a prefetch depth according to the access pattern.

  7. Means for ultrasonic testing when material properties vary

    DOEpatents

    Beller, Laurence S.

    1979-01-01

    A device is provided for maintaining constant sensitivity in an ultrasonic testing device, despite varying attenuation due to the properties of the material being tested. The device includes a sensor transducer for transmitting and receiving a test signal and a monitor transducer positioned so as to receive ultrasonic energy transmitted through the material to be tested. The received signal of the monitor transducer is utilized in analyzing data obtained from the sensor transducer.

  8. Fukushima Daiichi Unit 1 Accident Progression Uncertainty Analysis and Implications for Decommissioning of Fukushima Reactors - Volume I.

    SciTech Connect

    Gauntt, Randall O.; Mattie, Patrick D.

    2016-01-01

    Sandia National Laboratories (SNL) has conducted an uncertainty analysis (UA) on the Fukushima Daiichi unit (1F1) accident progression with the MELCOR code. The model used was developed for a previous accident reconstruction investigation jointly sponsored by the US Department of Energy (DOE) and Nuclear Regulatory Commission (NRC). That study focused on reconstructing the accident progressions, as postulated by the limited plant data. This work was focused evaluation of uncertainty in core damage progression behavior and its effect on key figures-of-merit (e.g., hydrogen production, reactor damage state, fraction of intact fuel, vessel lower head failure). The primary intent of this study was to characterize the range of predicted damage states in the 1F1 reactor considering state of knowledge uncertainties associated with MELCOR modeling of core damage progression and to generate information that may be useful in informing the decommissioning activities that will be employed to defuel the damaged reactors at the Fukushima Daiichi Nuclear Power Plant. Additionally, core damage progression variability inherent in MELCOR modeling numerics is investigated.

  9. Nuclear Regulatory Commission Information Digest, 1991 edition

    SciTech Connect

    Olive, K L

    1991-03-01

    The Nuclear Regulatory Commission Information Digest provides a summary of information about the US Nuclear Regulatory Commission (NRC), NRC's regulatory responsibilities, and the areas NRC licenses. This digest is a compilation of NRC-related data and is designed to provide a quick reference to major facts about the agency and the industry it regulates. In general, the data cover 1975 through 1990, with exceptions noted. For operating US commercial nuclear power reactors, information on generating capacity and average capacity factor is obtained from Monthly Operating Reports submitted to the NRC directly by the licensee. This information is reviewed for consistency only. No independent validation and/or verification is performed by the NRC. For detailed and complete information about tables and figures, refer to the source publications. This digest is published annually for the general use of the NRC staff and is available to the public. 30 figs., 12 tabs.

  10. Integration of Uncertainty Information into Power System Operations

    SciTech Connect

    Makarov, Yuri V.; Lu, Shuai; Samaan, Nader A.; Huang, Zhenyu; Subbarao, Krishnappa; Etingov, Pavel V.; Ma, Jian; Hafen, Ryan P.; Diao, Ruisheng; Lu, Ning

    2011-10-10

    Contemporary power systems face uncertainties coming from multiple sources, including forecast errors of load, wind and solar generation, uninstructed deviation and forced outage of traditional generators, loss of transmission lines, and others. With increasing amounts of wind and solar generation being integrated into the system, these uncertainties have been growing significantly. It is critical important to build knowledge of major sources of uncertainty, learn how to simulate them, and then incorporate this information into the decision-making processes and power system operations, for better reliability and efficiency. This paper gives a comprehensive view on the sources of uncertainty in power systems, important characteristics, available models, and ways of their integration into system operations. It is primarily based on previous works conducted at the Pacific Northwest National Laboratory (PNNL).

  11. Probabilistic Accident Consequence Uncertainty - A Joint CEC/USNRC Study

    SciTech Connect

    Gregory, Julie J.; Harper, Frederick T.

    1999-07-28

    The joint USNRC/CEC consequence uncertainty study was chartered after the development of two new probabilistic accident consequence codes, MACCS in the U.S. and COSYMA in Europe. Both the USNRC and CEC had a vested interest in expanding the knowledge base of the uncertainty associated with consequence modeling, and teamed up to co-sponsor a consequence uncertainty study. The information acquired from the study was expected to provide understanding of the strengths and weaknesses of current models as well as a basis for direction of future research. This paper looks at the elicitation process implemented in the joint study and discusses some of the uncertainty distributions provided by eight panels of experts from the U.S. and Europe that were convened to provide responses to the elicitation. The phenomenological areas addressed by the expert panels include atmospheric dispersion and deposition, deposited material and external doses, food chain, early health effects, late health effects and internal dosimetry.

  12. Risk Analysis and Decision-Making Under Uncertainty: A Strategy...

    Office of Environmental Management (EM)

    Risk Analysis and Decision-Making Under Uncertainty: A Strategy and its Applications Ming Ye (mye@fsu.edu) Florida State University Mary Hill (mchill@ku.edu) University of Kansas ...

  13. Problem Solving Environment for Uncertainty Analysis and Design Exploration

    Energy Science and Technology Software Center

    2011-10-26

    PSUADE is an software system that is used to study the releationships between the inputs and outputs of gerneral simulation models for the purpose of performing uncertainty and sensitivity analyses on simulation models.

  14. Uncertainty analysis of multi-rate kinetics of uranium desorption...

    Office of Scientific and Technical Information (OSTI)

    in the multi-rate model to simualte U(VI) desorption; 3) however, long-term prediction and its uncertainty may be significantly biased by the lognormal assumption for the ...

  15. Dasymetric Modeling and Uncertainty (Journal Article) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Dasymetric Modeling and Uncertainty Citation Details In-Document Search ... DOE Contract Number: DE-AC05-00OR22725 Resource Type: Journal Article Resource Relation: ...

  16. Key Regulatory Issues for Digital Instrumentation and Control Systems at Nuclear Power Plants

    SciTech Connect

    Korsah, Kofi; Wood, Richard Thomas

    2008-01-01

    To help reduce the uncertainty associated with application of digital instrumentation and controls (I&C) technology in nuclear power plants, the Nuclear Regulatory Commission (NRC) has issued six Interim Staff Guidance (ISG) documents that address the current regulatory positions on what are considered the significant digital I&C issues. These six documents address the following topics: Cyber Security, Diversity and Defense-in-Depth, Risk Informed Digital I&C Regulation, Communication issues, Human Factors and the Digital I&C Licensing Process (currently issued as Draft). After allowing for further refinement based on additional technical insight gathered by NRC staff through near-term research and detailed review of relevant experience, it is expected that updated positions ultimately will be incorporated into regulatory guides and staff review procedures. This paper presents an overview of the guidance provided by the NRC-issued ISGs on key technology considerations (i.e., the first five documents above) for safety-related digital I&C systems.

  17. Solar Project Regulatory Considerations and NEPA Compliance

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

    Bureau of Indian Affairs Solar Project Regulatory Considerations and NEPA Compliance DOE Tribal Webinar Project Regulatory Considerations August 31, 2016 NEPA Compliance  Statute, Executive Orders, DOI Memos, Policy, DOI Handbooks  Process  Coordination National Environmental Policy Act (NEPA)  NEPA-Public Law 91- 190 42 U.S.C. 4321-4347 January 1, 1970  CEQ Regulations 40 CFR 1500-1508 November 29, 1978  DOI Implementing Procedures 516 DM 1-6 (April 23, 1980)  DOI Final

  18. Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation

    SciTech Connect

    Lei, Huan; Yang, Xiu; Zheng, Bin; Lin, Guang; Baker, Nathan A.

    2015-12-31

    Biomolecules exhibit conformational fluctuations near equilibrium states, inducing uncertainty in various biological properties in a dynamic way. We have developed a general method to quantify the uncertainty of target properties induced by conformational fluctuations. Using a generalized polynomial chaos (gPC) expansion, we construct a surrogate model of the target property with respect to varying conformational states. We also propose a method to increase the sparsity of the gPC expansion by defining a set of conformational “active space” random variables. With the increased sparsity, we employ the compressive sensing method to accurately construct the surrogate model. We demonstrate the performance of the surrogate model by evaluating fluctuation-induced uncertainty in solvent-accessible surface area for the bovine trypsin inhibitor protein system and show that the new approach offers more accurate statistical information than standard Monte Carlo approaches. Further more, the constructed surrogate model also enables us to directly evaluate the target property under various conformational states, yielding a more accurate response surface than standard sparse grid collocation methods. In particular, the new method provides higher accuracy in high-dimensional systems, such as biomolecules, where sparse grid performance is limited by the accuracy of the computed quantity of interest. Our new framework is generalizable and can be used to investigate the uncertainty of a wide variety of target properties in biomolecular systems.

  19. Gas Exploration Software for Reducing Uncertainty in Gas Concentration

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

    Estimates - Energy Innovation Portal Energy Analysis Energy Analysis Find More Like This Return to Search Gas Exploration Software for Reducing Uncertainty in Gas Concentration Estimates Lawrence Berkeley National Laboratory Contact LBL About This Technology Technology Marketing SummaryEstimating reservoir parameters for gas exploration from geophysical data is subject to a large degree of uncertainty. Seismic imaging techniques, such as seismic amplitude versus angle (AVA) analysis, can

  20. Research Portfolio Report Ultra-Deepwater: Geologic Uncertainty

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

    Geologic Uncertainty Cover Image: 3D visualization of directionally drilled boreholes in the Gulf of Mexico, field MC109, showing NETL's interpretation of two reservoir sand intervals. Research Portfolio Report Ultra-Deepwater: Geologic Uncertainty DOE/NETL-2015/1694 Prepared by: Mari Nichols-Haining, Jennifer Funk, Kathy Bruner, John Oelfke, and Christine Rueter KeyLogic Systems, Inc. National Energy Technology Laboratory (NETL) Contact: James Ammer james.ammer@netl.doe.gov Contract

  1. Practical uncertainty reduction and quantification in shock physics measurements

    DOE PAGES [OSTI]

    Akin, M. C.; Nguyen, J. H.

    2015-04-20

    We report the development of a simple error analysis sampling method for identifying intersections and inflection points to reduce total uncertainty in experimental data. This technique was used to reduce uncertainties in sound speed measurements by 80% over conventional methods. Here, we focused on its impact on a previously published set of Mo sound speed data and possible implications for phase transition and geophysical studies. However, this technique's application can be extended to a wide range of experimental data.

  2. Determining Best Estimates and Uncertainties in Cloud Microphysical

    Office of Scientific and Technical Information (OSTI)

    Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions (Technical Report) | SciTech Connect Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions Citation Details In-Document Search Title: Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for

  3. Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling Citation Details In-Document Search Title: Improvements of Nuclear Data and Its Uncertainties by Theoretical Modeling Authors: Talou, Patrick [1] ; Nazarewicz, Witold [2] ; Prinja, Anil [3] ; Danon, Yaron [4] + Show Author Affiliations Los Alamos National Laboratory University of Tennessee, Knoxville, TN 37996, USA University of New Mexico, USA Rensselaer Polytechnic Institute, USA

  4. Analysis of the Uncertainty in Wind Measurements from the Atmospheric

    Office of Scientific and Technical Information (OSTI)

    Radiation Measurement Doppler Lidar during XPIA: Field Campaign Report (Program Document) | SciTech Connect Analysis of the Uncertainty in Wind Measurements from the Atmospheric Radiation Measurement Doppler Lidar during XPIA: Field Campaign Report Citation Details In-Document Search Title: Analysis of the Uncertainty in Wind Measurements from the Atmospheric Radiation Measurement Doppler Lidar during XPIA: Field Campaign Report In March and April of 2015, the ARM Doppler lidar that was

  5. Uncertainties in the Anti-neutrino Production at Nuclear Reactors

    SciTech Connect

    Djurcic, Zelimir; Detwiler, Jason A.; Piepke, Andreas; Foster Jr., Vince R.; Miller, Lester; Gratta, Giorgio

    2008-08-06

    Anti-neutrino emission rates from nuclear reactors are determined from thermal power measurements and fission rate calculations. The uncertainties in these quantities for commercial power plants and their impact on the calculated interaction rates in {bar {nu}}{sub e} detectors is examined. We discuss reactor-to-reactor correlations between the leading uncertainties, and their relevance to reactor {bar {nu}}{sub e} experiments.

  6. River meander modeling and confronting uncertainty.

    SciTech Connect

    Posner, Ari J.

    2011-05-01

    This study examines the meandering phenomenon as it occurs in media throughout terrestrial, glacial, atmospheric, and aquatic environments. Analysis of the minimum energy principle, along with theories of Coriolis forces (and random walks to explain the meandering phenomenon) found that these theories apply at different temporal and spatial scales. Coriolis forces might induce topological changes resulting in meandering planforms. The minimum energy principle might explain how these forces combine to limit the sinuosity to depth and width ratios that are common throughout various media. The study then compares the first order analytical solutions for flow field by Ikeda, et al. (1981) and Johannesson and Parker (1989b). Ikeda's et al. linear bank erosion model was implemented to predict the rate of bank erosion in which the bank erosion coefficient is treated as a stochastic variable that varies with physical properties of the bank (e.g., cohesiveness, stratigraphy, or vegetation density). The developed model was used to predict the evolution of meandering planforms. Then, the modeling results were analyzed and compared to the observed data. Since the migration of a meandering channel consists of downstream translation, lateral expansion, and downstream or upstream rotations several measures are formulated in order to determine which of the resulting planforms is closest to the experimental measured one. Results from the deterministic model highly depend on the calibrated erosion coefficient. Since field measurements are always limited, the stochastic model yielded more realistic predictions of meandering planform evolutions. Due to the random nature of bank erosion coefficient, the meandering planform evolution is a stochastic process that can only be accurately predicted by a stochastic model.

  7. Fuzzy-probabilistic calculations of water-balance uncertainty

    SciTech Connect

    Faybishenko, B.

    2009-10-01

    Hydrogeological systems are often characterized by imprecise, vague, inconsistent, incomplete, or subjective information, which may limit the application of conventional stochastic methods in predicting hydrogeologic conditions and associated uncertainty. Instead, redictions and uncertainty analysis can be made using uncertain input parameters expressed as probability boxes, intervals, and fuzzy numbers. The objective of this paper is to present the theory for, and a case study as an application of, the fuzzyprobabilistic approach, ombining probability and possibility theory for simulating soil water balance and assessing associated uncertainty in the components of a simple waterbalance equation. The application of this approach is demonstrated using calculations with the RAMAS Risk Calc code, to ssess the propagation of uncertainty in calculating potential evapotranspiration, actual evapotranspiration, and infiltration-in a case study at the Hanford site, Washington, USA. Propagation of uncertainty into the results of water-balance calculations was evaluated by hanging he types of models of uncertainty incorporated into various input parameters. The results of these fuzzy-probabilistic calculations are compared to the conventional Monte Carlo simulation approach and estimates from field observations at the Hanford site.

  8. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  9. How incorporating more data reduces uncertainty in recovery predictions

    SciTech Connect

    Campozana, F.P.; Lake, L.W.; Sepehrnoori, K.

    1997-08-01

    From the discovery to the abandonment of a petroleum reservoir, there are many decisions that involve economic risks because of uncertainty in the production forecast. This uncertainty may be quantified by performing stochastic reservoir modeling (SRM); however, it is not practical to apply SRM every time the model is updated to account for new data. This paper suggests a novel procedure to estimate reservoir uncertainty (and its reduction) as a function of the amount and type of data used in the reservoir modeling. Two types of data are analyzed: conditioning data and well-test data. However, the same procedure can be applied to any other data type. Three performance parameters are suggested to quantify uncertainty. SRM is performed for the following typical stages: discovery, primary production, secondary production, and infill drilling. From those results, a set of curves is generated that can be used to estimate (1) the uncertainty for any other situation and (2) the uncertainty reduction caused by the introduction of new wells (with and without well-test data) into the description.

  10. Uncertainties in Life Cycle Greenhouse Gas Emissions from Advanced Biomass Feedstock Logistics Supply Chains in Kansas

    SciTech Connect

    Cafferty, Kara G.; Searcy, Erin M.; Nguyen, Long; Spatari, Sabrina

    2014-11-01

    To meet Energy Independence and Security Act (EISA) cellulosic biofuel mandates, the United States will require an annual domestic supply of about 242 million Mg of biomass by 2022. To improve the feedstock logistics of lignocellulosic biofuels and access available biomass resources from areas with varying yields, commodity systems have been proposed and designed to deliver on-spec biomass feedstocks at preprocessing “depots”, which densify and stabilize the biomass prior to long-distance transport and delivery to centralized biorefineries. The harvesting, preprocessing, and logistics (HPL) of biomass commodity supply chains thus could introduce spatially variable environmental impacts into the biofuel life cycle due to needing to harvest, move, and preprocess biomass from multiple distances that have variable spatial density. This study examines the uncertainty in greenhouse gas (GHG) emissions of corn stover logisticsHPL within a bio-ethanol supply chain in the state of Kansas, where sustainable biomass supply varies spatially. Two scenarios were evaluated each having a different number of depots of varying capacity and location within Kansas relative to a central commodity-receiving biorefinery to test GHG emissions uncertainty. Monte Carlo simulation was used to estimate the spatial uncertainty in the HPL gate-to-gate sequence. The results show that the transport of densified biomass introduces the highest variability and contribution to the carbon footprint of the logistics HPL supply chain (0.2-13 g CO2e/MJ). Moreover, depending upon the biomass availability and its spatial density and surrounding transportation infrastructure (road and rail), logistics HPL processes can increase the variability in life cycle environmental impacts for lignocellulosic biofuels. Within Kansas, life cycle GHG emissions could range from 24 to 41 g CO2e/MJ depending upon the location, size and number of preprocessing depots constructed. However, this

  11. Bending of solitons in weak and slowly varying inhomogeneous plasma

    SciTech Connect

    Mukherjee, Abhik Janaki, M. S. Kundu, Anjan

    2015-12-15

    The bending of solitons in two dimensional plane is presented in the presence of weak and slowly varying inhomogeneous ion density for the propagation of ion acoustic soliton in unmagnetized cold plasma with isothermal electrons. Using reductive perturbation technique, a modified Kadomtsev-Petviashvili equation is obtained with a chosen unperturbed ion density profile. The exact solution of the equation shows that the phase of the solitary wave gets modified by a function related to the unperturbed inhomogeneous ion density causing the soliton to bend in the two dimensional plane, while the amplitude of the soliton remains constant.

  12. Magnetoresistance of polycrystalline gadolinium with varying grain size

    SciTech Connect

    Chakravorty, Manotosh Raychaudhuri, A. K.

    2015-01-21

    In this paper, we report a study of evolution of low field magnetoresistance (MR) of Gadolinium as the grain size in the sample is changed from few microns (∼4 μm) to the nanoscopic regime (∼35 nm). The low field MR has a clear effect on varying grain size. In large grain sample (few μm), the magnetic domains are controlled by local anisotropy field determined mainly by the magnetocrystalline anisotropy. The low field MR clearly reflects the temperature dependence of the magnetocrystalline anisotropy. For decreasing gain size, the contribution of spin disorder at the grain boundary increases and enhances the local anisotropy field.

  13. Regulatory Promotion of Emergent CCS Technology

    SciTech Connect

    Davies, Lincoln; Uchitel, Kirsten; Johnson, David

    2014-01-01

    Despite the growing inevitability of climate change and the attendant need for mitigation strategies, carbon capture and sequestration (CCS) has yet to gain much traction in the United States. Recent regulatory proposals by the U.S. Environmental Protection Agency (EPA), limited in scope to new-build power plants, represent the only significant policy initiative intended to mandate diffusion of CCS technology. Phase I of this Project assessed barriers to CCS deployment as prioritized by the CCS community. That research concluded that there were four primary barriers: (1) cost, (2) lack of a carbon price, (3) liability, and (4) lack of a comprehensive regulatory regime. Phase II of this Project, as presented in this Report, assesses potential regulatory models for CCS and examines where those models address the hurdles to diffusing CCS technology identified in Phase I. It concludes (1) that a CCS-specific but flexible standard, such as a technology performance standard or a very particular type of market-based regulation, likely will promote CCS diffusion, and (2) that these policies cannot work alone, but rather, should be combined with other measures, such as liability limits and a comprehensive CCS regulatory regime.

  14. The regulatory battleground: A briefing for commanders

    SciTech Connect

    Wirick, D.

    1995-12-31

    This imperfect analogy likens the history and current status of public utility regulation to a military campaign. Clearly, the relationship between regulators and utilities has not always been combative, but intermittent conflict has necessarily characterized the relationship. Nonetheless, this military analogy describes some of the elements of the history of regulation and may have implications for regulatory policy in the near term. The scene is a battlefield headquarters not far from the heat of the conflict. The commanders of regulatory units are gathered. In the distance, the low rumble of troop movements can be heard. Ladies and gentlemen, please take your seats. As you are aware, recent developments have placed regulatory forces in extreme jeopardy. Our forces are under stress, and though they continue to fight, the confusion of the current situation is beginning to take its toll. In most cases, reinforcements have been denied and our lines of logistical support have been weakened. Without effective and rapid action on our part, the regulatory battle will be lost and we will be driven from the field. Until consumers are well-enough armed to protect themselves, a process that is certainly suspect and potentially time-consuming, they will be powerless and undoubtedly victimized.

  15. Tribal Renewable Energy Webinar: Project Regulatory Considerations

    Energy.gov [DOE]

    Learn about the many permitting and project regulatory issues that need to be addressed when developing energy projects. Considerations include the Helping Expedite and Advance Responsible Tribal Home Ownership (HEARTH) Act, land use, noise, birds, and other biological resources; visual impact; soil erosion and water quality; public health and safety; cultural and paleontological resources; solid and hazardous wastes; air quality; and climate.

  16. Obtain regulatory support services and technical expertise

    Energy.gov [DOE]

    The purpose of this task order (TO) is to obtain regulatory support services and technical expertise required to comply with the March 2005 Compliance Order on Consent (Consent Order), the Individual Permit for Stormwater (IP), Resource Conservation and Recovery Act (RCRA) Hazardous Waste Facility Permit (RCRA Permit, and other applicable compliance areas for Fiscal Year 2016.

  17. Nuclear Regulatory Commission | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Nuclear Regulatory Commission NNSA Receives Excellence Award for Radiological Security Enhancements in Hawaii HONOLULU - At an official event this week, the City and County of Honolulu presented the Department of Energy's (DOE) National Nuclear Security Administration (NNSA) with the Homeland Security Excellence Award for DOE/NNSA's Office of Radiological Security's (ORS) efforts

  18. Varying fine structure 'constant' and charged black holes

    SciTech Connect

    Bekenstein, Jacob D.; Schiffer, Marcelo

    2009-12-15

    Speculation that the fine-structure constant {alpha} varies in spacetime has a long history. We derive, in 4-D general relativity and in isotropic coordinates, the solution for a charged spherical black hole according to the framework for dynamical {alpha} J. D. Bekenstein, Phys. Rev. D 25, 1527 (1982).. This solution coincides with a previously known one-parameter extension of the dilatonic black hole family. Among the notable properties of varying-{alpha} charged black holes are adherence to a 'no hair' principle, the absence of the inner (Cauchy) horizon of the Reissner-Nordstroem black holes, the nonexistence of precisely extremal black holes, and the appearance of naked singularities in an analytic extension of the relevant metric. The exteriors of almost extremal electrically (magnetically) charged black holes have simple structures which makes their influence on applied magnetic (electric) fields transparent. We rederive the thermodynamic functions of the modified black holes; the otherwise difficult calculation of the electric potential is done by a shortcut. We confirm that variability of {alpha} in the wake of expansion of the universe does not threaten the generalized second law.

  19. Reaching Site Closure for Groundwater under Multiple Regulatory Agencies

    SciTech Connect

    Glucksberg, N.; Shephard, Gene; Peters, Jay; Couture, B.

    2008-01-15

    Groundwater at the Connecticut Yankee Atomic Power Company (CYAPCO) Haddam Neck Plant (HNP) requires investigation of both radionuclides and chemical constituents in order to achieve closure. Cleanup criteria for groundwater are regulated both by federal and state agencies. These requirements vary in both numerical values as well as the duration of post remediation monitoring. The only consistent requirement is the development of a site conceptual model and an understanding of the hydrogeologic conditions that will govern contaminant transport and identify potential receptors. To successfully reach closure under each agency, it is paramount to understand the different requirements during the planning stages of the investigation. Therefore, the conceptual site model, groundwater transport mechanisms, and potential receptors must be defined. Once the hydrogeology is understood, a long term groundwater program can then be coordinated to meet each regulatory agency requirement to both terminate the NRC license and reach site closure under RCRA. Based on the different criteria, the CTDEP-LR (or RSR criteria) are not only bounding, but also requires the longest duration. As with most decommissioning efforts, regulatory attention is focused on the NRC, however, with the recent industry initiatives based on concern of tritium releases to groundwater at other plants, it is likely that the USEPA and state agencies may continue to drive site investigations. By recognizing these differences, data quality objectives can include all agency requirements, thus minimizing rework or duplicative efforts. CYAPCO intends to complete groundwater monitoring for the NRC and CTDEP-RD by July 2007. However, because shallow remediations are still being conducted, site closure under USEPA and CTDEP-LR is projected to be late 2011.

  20. A Method to Estimate Uncertainty in Radiometric Measurement Using the Guide to the Expression of Uncertainty in Measurement (GUM) Method; NREL (National Renewable Energy Laboratory)

    SciTech Connect

    Habte, A.; Sengupta, M.; Reda, I.

    2015-03-01

    Radiometric data with known and traceable uncertainty is essential for climate change studies to better understand cloud radiation interactions and the earth radiation budget. Further, adopting a known and traceable method of estimating uncertainty with respect to SI ensures that the uncertainty quoted for radiometric measurements can be compared based on documented methods of derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM). derivation.Therefore, statements about the overall measurement uncertainty can only be made on an individual basis, taking all relevant factors into account. This poster provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements from radiometers. The approach follows the Guide to the Expression of Uncertainty in Measurement (GUM).

  1. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect

    Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk

    2013-12-01

    We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.

  2. Regulatory Impact Analysis and Regulatory Flexibility Act screening for operating permits regulations

    SciTech Connect

    Rodriguez, R.M.

    1992-06-01

    The report presents the economic impact analysis performed to comply with the requirements of the Regulatory Flexibility Act and Executive Order 12291 for the Title V Operating permits Rule.

  3. Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models

    SciTech Connect

    Mosher, J.; Sako, M. [Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States); Guy, J.; Astier, P.; Betoule, M.; El-Hage, P.; Pain, R.; Regnault, N. [LPNHE, CNRS/IN2P3, Universit Pierre et Marie Curie Paris 6, Universi Denis Diderot Paris 7, 4 place Jussieu, F-75252 Paris Cedex 05 (France); Kessler, R.; Frieman, J. A. [Kavli Institute for Cosmological Physics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637 (United States); Marriner, J. [Center for Particle Astrophysics, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States); Biswas, R.; Kuhlmann, S. [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439 (United States); Schneider, D. P., E-mail: kessler@kicp.chicago.edu [Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA 16802 (United States)

    2014-09-20

    We use simulated type Ia supernova (SN Ia) samples, including both photometry and spectra, to perform the first direct validation of cosmology analysis using the SALT-II light curve model. This validation includes residuals from the light curve training process, systematic biases in SN Ia distance measurements, and a bias on the dark energy equation of state parameter w. Using the SN-analysis package SNANA, we simulate and analyze realistic samples corresponding to the data samples used in the SNLS3 analysis: ?120 low-redshift (z < 0.1) SNe Ia, ?255 Sloan Digital Sky Survey SNe Ia (z < 0.4), and ?290 SNLS SNe Ia (z ? 1). To probe systematic uncertainties in detail, we vary the input spectral model, the model of intrinsic scatter, and the smoothing (i.e., regularization) parameters used during the SALT-II model training. Using realistic intrinsic scatter models results in a slight bias in the ultraviolet portion of the trained SALT-II model, and w biases (w {sub input} w {sub recovered}) ranging from 0.005 0.012 to 0.024 0.010. These biases are indistinguishable from each other within the uncertainty; the average bias on w is 0.014 0.007.

  4. Optical waveguide device with an adiabatically-varying width

    DOEpatents

    Watts; Michael R. , Nielson; Gregory N.

    2011-05-10

    Optical waveguide devices are disclosed which utilize an optical waveguide having a waveguide bend therein with a width that varies adiabatically between a minimum value and a maximum value of the width. One or more connecting members can be attached to the waveguide bend near the maximum value of the width thereof to support the waveguide bend or to supply electrical power to an impurity-doped region located within the waveguide bend near the maximum value of the width. The impurity-doped region can form an electrical heater or a semiconductor junction which can be activated with a voltage to provide a variable optical path length in the optical waveguide. The optical waveguide devices can be used to form a tunable interferometer (e.g. a Mach-Zehnder interferometer) which can be used for optical modulation or switching. The optical waveguide devices can also be used to form an optical delay line.

  5. Simulations of stretching a flexible polyelectrolyte with varying charge separation

    DOE PAGES [OSTI]

    Stevens, Mark J.; Saleh, Omar A.

    2016-07-22

    We calculated the force-extension curves for a flexible polyelectrolyte chain with varying charge separations by performing Monte Carlo simulations of a 5000 bead chain using a screened Coulomb interaction. At all charge separations, the force-extension curves exhibit a Pincus-like scaling regime at intermediate forces and a logarithmic regime at large forces. As the charge separation increases, the Pincus regime shifts to a larger range of forces and the logarithmic regime starts are larger forces. We also found that force-extension curve for the corresponding neutral chain has a logarithmic regime. Decreasing the diameter of bead in the neutral chain simulations removedmore » the logarithmic regime, and the force-extension curve tends to the freely jointed chain limit. In conclusion, this result shows that only excluded volume is required for the high force logarithmic regime to occur.« less

  6. Systems and methods of varying charged particle beam spot size

    DOEpatents

    Chen, Yu-Jiuan

    2014-09-02

    Methods and devices enable shaping of a charged particle beam. A modified dielectric wall accelerator includes a high gradient lens section and a main section. The high gradient lens section can be dynamically adjusted to establish the desired electric fields to minimize undesirable transverse defocusing fields at the entrance to the dielectric wall accelerator. Once a baseline setting with desirable output beam characteristic is established, the output beam can be dynamically modified to vary the output beam characteristics. The output beam can be modified by slightly adjusting the electric fields established across different sections of the modified dielectric wall accelerator. Additional control over the shape of the output beam can be excreted by introducing intentional timing de-synchronization offsets and producing an injected beam that is not fully matched to the entrance of the modified dielectric accelerator.

  7. Epidemic spreading in time-varying community networks

    SciTech Connect

    Ren, Guangming E-mail: ren-guang-ming@163.com; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024 ; Wang, Xingyuan E-mail: ren-guang-ming@163.com

    2014-06-15

    The spreading processes of many infectious diseases have comparable time scale as the network evolution. Here, we present a simple networks model with time-varying community structure, and investigate susceptible-infected-susceptible epidemic spreading processes in this model. By both theoretic analysis and numerical simulations, we show that the efficiency of epidemic spreading in this model depends intensively on the mobility rate q of the individuals among communities. We also find that there exists a mobility rate threshold q{sub c}. The epidemic will survive when q?>?q{sub c} and die when q?

  8. Fenestration systems as luminaries of varying candlepower distribution

    SciTech Connect

    Papamichael, K.

    1990-10-01

    Simulation of the performance of electric lighting systems has been successfully handled using computers, since electric lighting systems have a constant luminous output with respect to intensity and spatial distribution, usually referred to as candlepower distribution, which can be measured and used conveniently. This paper describes an approach of treating fenestration systems as luminaries of varying candlepower distribution, so that the determination of their luminous performance becomes consistent with that of electric lighting systems. The transmitted distribution through fenestration systems due to radiation from the sun, sky and ground is determined from their bidirectional transmittance and the luminance distribution of the sources of radiation. The approach is demonstrated using the experimentally determined bidirectional transmittance of a diffusive sample under the uniform, overcast and clear sky luminance distributions. 6 refs., 14 figs.

  9. Systematic uncertainties from halo asphericity in dark matter searches

    SciTech Connect

    Bernal, Nicols; Forero-Romero, Jaime E.; Garani, Raghuveer; Palomares-Ruiz, Sergio E-mail: je.forero@uniandes.edu.co E-mail: sergio.palomares.ruiz@ific.uv.es

    2014-09-01

    Although commonly assumed to be spherical, dark matter halos are predicted to be non-spherical by N-body simulations and their asphericity has a potential impact on the systematic uncertainties in dark matter searches. The evaluation of these uncertainties is the main aim of this work, where we study the impact of aspherical dark matter density distributions in Milky-Way-like halos on direct and indirect searches. Using data from the large N-body cosmological simulation Bolshoi, we perform a statistical analysis and quantify the systematic uncertainties on the determination of local dark matter density and the so-called J factors for dark matter annihilations and decays from the galactic center. We find that, due to our ignorance about the extent of the non-sphericity of the Milky Way dark matter halo, systematic uncertainties can be as large as 35%, within the 95% most probable region, for a spherically averaged value for the local density of 0.3-0.4 GeV/cm {sup 3}. Similarly, systematic uncertainties on the J factors evaluated around the galactic center can be as large as 10% and 15%, within the 95% most probable region, for dark matter annihilations and decays, respectively.

  10. Fuel cycle cost uncertainty from nuclear fuel cycle comparison

    SciTech Connect

    Li, J.; McNelis, D.; Yim, M.S.

    2013-07-01

    This paper examined the uncertainty in fuel cycle cost (FCC) calculation by considering both model and parameter uncertainty. Four different fuel cycle options were compared in the analysis including the once-through cycle (OT), the DUPIC cycle, the MOX cycle and a closed fuel cycle with fast reactors (FR). The model uncertainty was addressed by using three different FCC modeling approaches with and without the time value of money consideration. The relative ratios of FCC in comparison to OT did not change much by using different modeling approaches. This observation was consistent with the results of the sensitivity study for the discount rate. Two different sets of data with uncertainty range of unit costs were used to address the parameter uncertainty of the FCC calculation. The sensitivity study showed that the dominating contributor to the total variance of FCC is the uranium price. In general, the FCC of OT was found to be the lowest followed by FR, MOX, and DUPIC. But depending on the uranium price, the FR cycle was found to have lower FCC over OT. The reprocessing cost was also found to have a major impact on FCC.

  11. Slowly Varying Dilaton Cosmologies and Their Field Theory Duals

    SciTech Connect

    Awad, Adel; Das, Sumit R.; Ghosh, Archisman; Oh, Jae-Hyuk; Trivedi, Sandip P.; /Tata Inst. /Stanford U., ITP /SLAC

    2011-06-28

    We consider a deformation of the AdS{sub 5} x S{sup 5} solution of IIB supergravity obtained by taking the boundary value of the dilaton to be time dependent. The time dependence is taken to be slowly varying on the AdS scale thereby introducing a small parameter {epsilon}. The boundary dilaton has a profile which asymptotes to a constant in the far past and future and attains a minimum value at intermediate times. We construct the sugra solution to first non-trivial order in {epsilon}, and find that it is smooth, horizon free, and asymptotically AdS{sub 5} x S{sup 5} in the far future. When the intermediate values of the dilaton becomes small enough the curvature becomes of order the string scale and the sugra approximation breaks down. The resulting dynamics is analysed in the dual SU(N) gauge theory on S{sup 3} with a time dependent coupling constant which varies slowly. When N{epsilon} << 1, we find that a quantum adiabatic approximation is applicable, and use it to argue that at late times the geometry becomes smooth AdS{sub 5} x S{sup 5} again. When N{epsilon} >> 1, we formulate a classical adiabatic perturbation theory based on coherent states which arises in the large N limit. For large values of the tHooft coupling this reproduces the supergravity results. For small 'tHooft coupling the coherent state calculations become involved and we cannot reach a definite conclusion. We argue that the final state should have a dual description which is mostly smooth AdS5 space with the possible presence of a small black hole.

  12. Spall behavior of cast iron with varying microstructures

    SciTech Connect

    Plume, Gifford; Rousseau, Carl-Ernst

    2014-07-21

    The spall strength of cast iron with varying microstructures has been investigated using plate impact at moderate speed. Stress history measurements were made with manganin stress gauges embedded between the back face of the specimen and a low impedance polycarbonate backing. Five separate cast irons were tested. Four of these consisted of gray cast iron with graphite in flake form, with three classified as Type VII A2 and the fourth containing a bimodal distribution of Types VII A4 and VII D8. The fifth casting consisted of ductile cast iron with graphite in nodular form, classified as Type I, size class 5. The spall strength for the Type VII A2 gray cast irons varied between 40 and 370 MPa, and that of the additional gray cast iron, between 410 and 490 MPa. The spall strength of the ductile cast iron fell within the range of 0.94–1.2 GPa. It is shown that the spall strength is linked to the damage level at the spall plane, where an increased level of tensile stress is required to generate higher levels of damage. Post mortem analysis was performed on the recovered samples, revealing the graphite phase to be the primary factor governing the spall fracture of cast irons, where crack nucleation is directly correlated to the debonding of graphite from the metal matrix. The average length of graphite found within a casting is linked to the material's strength, where strength increases as a function of decreasing length. The morphology and mean free path of graphite precipitates further govern the subsequent coalescence of initiated cracks to form a complete fracture plane. In cases where graphite spacing is large, increased energy level is required to complete the fracture process. A secondary factor governing the spall fracture of cast irons has also been linked to the microstructure of the metal matrix, with pearlite yielding higher spall strengths than free ferrite.

  13. Product Binding Varies Dramatically between Processive and Nonprocessive Cellulase Enzymes

    SciTech Connect

    Bu, L.; Nimlos, M. R.; Shirts, M. R.; Stahlberg, J.; Himmel, M. E.; Crowley, M. F.; Beckham, G. T.

    2012-07-13

    Cellulases hydrolyze {beta}-1,4 glycosidic linkages in cellulose, which are among the most prevalent and stable bonds in Nature. Cellulases comprise many glycoside hydrolase families and exist as processive or nonprocessive enzymes. Product inhibition negatively impacts cellulase action, but experimental measurements of product-binding constants vary significantly, and there is little consensus on the importance of this phenomenon. To provide molecular level insights into cellulase product inhibition, we examine the impact of product binding on processive and nonprocessive cellulases by calculating the binding free energy of cellobiose to the product sites of catalytic domains of processive and nonprocessive enzymes from glycoside hydrolase families 6 and 7. The results suggest that cellobiose binds to processive cellulases much more strongly than nonprocessive cellulases. We also predict that the presence of a cellodextrin bound in the reactant site of the catalytic domain, which is present during enzymatic catalysis, has no effect on product binding in nonprocessive cellulases, whereas it significantly increases product binding to processive cellulases. This difference in product binding correlates with hydrogen bonding between the substrate-side ligand and the cellobiose product in processive cellulase tunnels and the additional stabilization from the longer tunnel-forming loops. The hydrogen bonds between the substrate- and product-side ligands are disrupted by water in nonprocessive cellulase clefts, and the lack of long tunnel-forming loops results in lower affinity of the product ligand. These findings provide new insights into the large discrepancies reported for binding constants for cellulases and suggest that product inhibition will vary significantly based on the amount of productive binding for processive cellulases on cellulose.

  14. DOE Seeks Comments on its Preliminary Plan to Reduce Regulatory...

    Energy Saver

    Comments on its Preliminary Plan to Reduce Regulatory Burden DOE Seeks Comments on its Preliminary Plan to Reduce Regulatory Burden July 13, 2011 - 2:02pm Addthis The Department of ...

  15. Category:Regulatory Roadmap Overview Sections | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    Category Edit History Category:Regulatory Roadmap Overview Sections Jump to: navigation, search GRR-logo.png Looking for the Regulatory Roadmap? Click here for a user-friendly list...

  16. Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West

    SciTech Connect

    Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

    2008-08-01

    Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

  17. Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West

    SciTech Connect

    Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

    2008-07-11

    Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

  18. DOE Review of Regulations - Center for Regulatory Effectiveness Comments |

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

    Department of Energy Review of Regulations - Center for Regulatory Effectiveness Comments DOE Review of Regulations - Center for Regulatory Effectiveness Comments The Center for Regulatory Effectiveness (CRE) is pleased to submit these comments to the Department of Energy (DOE) on how DOE can best review its existing regulations and to identify whether any of its existing regulations should be modified, streamlined, expanded or repealed. Center_for_Regulatory_Effectiveness_Comments.pdf

  19. US Nuclear Regulatory Commission functional organization charts, January 31, 1992

    SciTech Connect

    Not Available

    1992-02-01

    Functional organization charts for the US Nuclear Regulatory Commission offices, divisions, and branches are presented in this document.

  20. AHAM Comments Regulatory Burden RFI | Department of Energy

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

    Comments Regulatory Burden RFI AHAM Comments Regulatory Burden RFI The Association of Home Appliance Manufacturers (AHAM) respectfully submits the following comments to the Department of Energy (DOE) on its Regulatory Burden RFI, 77 Fed. Reg. 47328 (Aug. 8, 2012). AHAM Comments_DOE Reg Review Sept 2012_FINAL.pdf (64.14 KB) More Documents & Publications Regulatory Burden RFI, 77 Fed. Reg. 28518 (May 15, 2012) Association of Home Appliance Manufacturers Comment AHAM Retrospective Preliminary

  1. Fact Sheet: DOE/National Association of Regulatory Utility Commissione...

    Energy Saver

    National Association of Regulatory Utility Commissioners (NARUC) to encourage investments in infrastructure modernization to enhance pipeline safety, efficiency and deliverability. ...

  2. .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden

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

    RFI | Department of Energy .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden RFI .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden RFI Comments from Hearth, Patio & Barbecue Association on DOE's Regulatory Burden RFI .Hearth, Patio & Barbecue Association's Comments on DOE's Regulatory Burden RFI (604.37 KB) More Documents & Publications HPBA Comments NOPR on Energy Conservation Standards for Direct Heating Equipment

  3. DOE Comments Regulatory Burden RFI | Department of Energy

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

    Comments Regulatory Burden RFI DOE Comments Regulatory Burden RFI These comments are submitted by Rheem Manufacturing Company in response to the U.S. Department of Energy's (DOE) notice appearing in the December 5, 2011 Federal Register requesting information on existing regulations that should be modified, streamlined, expanded, or repealed. Reg_Review_DOE_comts_RFI.pdf (55.91 KB) More Documents & Publications Rheem Comments Fourth RFI Comment on Regulatory Review Reducing Regulatory Burden

  4. Reducing Regulatory Burden; Retrospective Review Under E.O. 13563 |

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

    Department of Energy Burden; Retrospective Review Under E.O. 13563 Reducing Regulatory Burden; Retrospective Review Under E.O. 13563 Request for information on reducing regulatory burden, E.O. 13563 Reducing Regulatory Burden; Retrospective Review Under E.O. 13563 (140.78 KB) More Documents & Publications Notice of Availability of Preliminary Plan for Retrospective Analysis of Existing Rules Reducing Regulatory Burden

  5. Microsoft Word - Cover Letter Regulatory Burden RFI 4-15-11 ...

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

    Cover Letter Regulatory Burden RFI 4-15-11 Microsoft Word - Cover Letter Regulatory Burden ... on Wednesday, Feb. 3, 2011. PDF icon Microsoft Word - Cover Letter Regulatory Burden ...

  6. A Unified Approach for Reporting ARM Measurement Uncertainties Technical Report

    SciTech Connect

    Campos, E; Sisterson, DL

    2015-10-01

    The Atmospheric Radiation Measurement (ARM) Climate Research Facility is observationally based, and quantifying the uncertainty of its measurements is critically important. With over 300 widely differing instruments providing over 2,500 datastreams, concise expression of measurement uncertainty is quite challenging. The ARM Facility currently provides data and supporting metadata (information about the data or data quality) to its users through a number of sources. Because the continued success of the ARM Facility depends on the known quality of its measurements, the Facility relies on instrument mentors and the ARM Data Quality Office (DQO) to ensure, assess, and report measurement quality. Therefore, an easily-accessible, well-articulated estimate of ARM measurement uncertainty is needed.

  7. Utilizing Soize's Approach to Identify Parameter and Model Uncertainties

    SciTech Connect

    Bonney, Matthew S.; Brake, Matthew Robert

    2014-10-01

    Quantifying uncertainty in model parameters is a challenging task for analysts. Soize has derived a method that is able to characterize both model and parameter uncertainty independently. This method is explained with the assumption that some experimental data is available, and is divided into seven steps. Monte Carlo analyses are performed to select the optimal dispersion variable to match the experimental data. Along with the nominal approach, an alternative distribution can be used along with corrections that can be utilized to expand the scope of this method. This method is one of a very few methods that can quantify uncertainty in the model form independently of the input parameters. Two examples are provided to illustrate the methodology, and example code is provided in the Appendix.

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

    SciTech Connect

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

    2010-09-01

    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.

  9. Papers on the nuclear regulatory dilemma

    SciTech Connect

    Barkenbus, J.N.; Freeman, S.D.; Weinberg, A.M.

    1985-10-01

    The four papers contained in this report are titled: (1) From Prescriptive to Performance-Based Regulation of Nuclear Power; (2) Nuclear Regulatory Reform: A Technology-Forcing Approach; (3) Improving the Regulation of Nuclear Power; and (4) Science and Its Limits: The Regulators' Dilemma. These four papers investigate issues relating to the long-term regulation of nuclear energy. They were prepared as part of the Institute for Energy Analysis' project on Nuclear Regulation funded by a grant from the Mellon Foundation and a smaller grant by the MacArthur Foundation. Originally this work was to be supplemented by contributions from the Nuclear Regulatory Commission and from the Department of Energy. These contributions were not forthcoming, and as a result the scope of our investigations was more restricted than we had originally planned.

  10. Environmental Regulatory Update Table, January/February 1995

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

    1995-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives impacting environmental, health, and safety management responsibilities. the table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Hybrid processing of stochastic and subjective uncertainty data

    SciTech Connect

    Cooper, J.A.; Ferson, S.; Ginzburg, L.

    1995-11-01

    Uncertainty analyses typically recognize separate stochastic and subjective sources of uncertainty, but do not systematically combine the two, although a large amount of data used in analyses is partly stochastic and partly subjective. We have developed methodology for mathematically combining stochastic and subjective data uncertainty, based on new ``hybrid number`` approaches. The methodology can be utilized in conjunction with various traditional techniques, such as PRA (probabilistic risk assessment) and risk analysis decision support. Hybrid numbers have been previously examined as a potential method to represent combinations of stochastic and subjective information, but mathematical processing has been impeded by the requirements inherent in the structure of the numbers, e.g., there was no known way to multiply hybrids. In this paper, we will demonstrate methods for calculating with hybrid numbers that avoid the difficulties. By formulating a hybrid number as a probability distribution that is only fuzzy known, or alternatively as a random distribution of fuzzy numbers, methods are demonstrated for the full suite of arithmetic operations, permitting complex mathematical calculations. It will be shown how information about relative subjectivity (the ratio of subjective to stochastic knowledge about a particular datum) can be incorporated. Techniques are also developed for conveying uncertainty information visually, so that the stochastic and subjective constituents of the uncertainty, as well as the ratio of knowledge about the two, are readily apparent. The techniques demonstrated have the capability to process uncertainty information for independent, uncorrelated data, and for some types of dependent and correlated data. Example applications are suggested, illustrative problems are worked, and graphical results are given.

  12. CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL

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

    CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Proposed Approach for Energy Efficiency Standards January 12, 2015 Natural Resources Ressources naturelles Canada Canada Key Contacts in U.S. and Canada NRCan * Debbie Scharf, Director of Equipment Division * Katherine Delves, Chief of Standards Development * Jamie Hulan, Team leader for Standards Development * Andrés Drew, RCC lead DOE * John Cymbalsky, Program Manager for Appliance Standards * Ashley Armstrong, Supervisory

  13. Plant nitrogen regulatory P-PII genes

    DOEpatents

    Coruzzi, Gloria M.; Lam, Hon-Ming; Hsieh, Ming-Hsiun

    2001-01-01

    The present invention generally relates to plant nitrogen regulatory PII gene (hereinafter P-PII gene), a gene involved in regulating plant nitrogen metabolism. The invention provides P-PII nucleotide sequences, expression constructs comprising said nucleotide sequences, and host cells and plants having said constructs and, optionally expressing the P-PII gene from said constructs. The invention also provides substantially pure P-PII proteins. The P-PII nucleotide sequences and constructs of the

  14. Regulatory Burden RFI - Hussmann Corporation Response

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

    Regulatory Burden RFI - Hussmann Corporation Response January 3, 2012 Below are the list of questions with answers from the December 5 RFI: (1) How can the Department best promote meaningful periodic reviews of its existing rules and how can it best identify those rules that might be modified, streamlined, expanded, or repealed? DOE should maintain a list of all manufacturers impacted by legislation/rules and make sure these manufacturers are notified of all rule changes. A full review cycle

  15. Responding to the changing regulatory scene

    SciTech Connect

    Wise, P.

    1995-12-31

    The regulatory approach of the Illinois Environmental Protection Agency (EPA) is discussed in this paper. Three areas receive emphasis: (1) the changing relations between the US EPA and the states, (2) the new emphasis on pollution prevention techniques, and (3) a new environmental amnesty project. Budgetary considerations, performance partnerships, and nonregulatory compliance assistance are briefly outlined in relation to these topics. Results of the environmental amnesty program for small business, called Clean Break, are briefly reported.

  16. Implementation of subsidence control regulatory requirements

    SciTech Connect

    Barkley, D.

    1999-07-01

    Underground coal mining in Illinois has shown an increasing percentage of total coal mined relative to surface mining. In the past 20 years, the percentage of underground to surface mine production has steadily increased. Underground mining is expected to continue to dominate Illinois coal production into the 21st century. The drive for higher production and lower operating costs should increase the number of longwall and high extraction retreat mines. This will be achieved through conversion of existing room and pillar mines or initiation of new underground mining operations. The environmental regulations that govern the mitigation of surface impacts have evolved at both the state and federal level. Federal regulations passed in 1995 modifying the Surface Mining Control and Reclamation Act mandated additional restrictions and regulatory requirements beyond those adopted in 1977. State regulatory bodies that implement the regulations are now working to bring their regulations and procedures into compliance with the oversight federal counterpart. many states have raised concerns over the practical application of certain aspects of the new permitting requirements. This paper describes past and present subsidence regulations in Illinois, their impact on the coal industry and on the landowners above underground coal mining. Potential problems in implementation of the new regulatory requirements as well as additional burdens placed on coal companies to comply with the regulations are explored.

  17. Plant nitrogen regulatory P-PII polypeptides

    DOEpatents

    Coruzzi, Gloria M.; Lam, Hon-Ming; Hsieh, Ming-Hsiun

    2004-11-23

    The present invention generally relates to plant nitrogen regulatory PII gene (hereinafter P-PII gene), a gene involved in regulating plant nitrogen metabolism. The invention provides P-PII nucleotide sequences, expression constructs comprising said nucleotide sequences, and host cells and plants having said constructs and, optionally expressing the P-PII gene from said constructs. The invention also provides substantially pure P-PII proteins. The P-PII nucleotide sequences and constructs of the invention may be used to engineer organisms to overexpress wild-type or mutant P-PII regulatory protein. Engineered plants that overexpress or underexpress P-PII regulatory protein may have increased nitrogen assimilation capacity. Engineered organisms may be used to produce P-PII proteins which, in turn, can be used for a variety of purposes including in vitro screening of herbicides. P-PII nucleotide sequences have additional uses as probes for isolating additional genomic clones having the promoters of P-PII gene. P-PII promoters are light- and/or sucrose-inducible and may be advantageously used in genetic engineering of plants.

  18. Regulatory issues for deep borehole plutonium disposition

    SciTech Connect

    Halsey, W.G.

    1995-03-01

    As a result of recent changes throughout the world, a substantial inventory of excess separated plutonium is expected to result from dismantlement of US nuclear weapons. The safe and secure management and eventual disposition of this plutonium, and of a similar inventory in Russia, is a high priority. A variety of options (both interim and permanent) are under consideration to manage this material. The permanent solutions can be categorized into two broad groups: direct disposal and utilization. The deep borehole disposition concept involves placing excess plutonium deep into old stable rock formations with little free water present. Issues of concern include the regulatory, statutory and policy status of such a facility, the availability of sites with desirable characteristics and the technologies required for drilling deep holes, characterizing them, emplacing excess plutonium and sealing the holes. This white paper discusses the regulatory issues. Regulatory issues concerning construction, operation and decommissioning of the surface facility do not appear to be controversial, with existing regulations providing adequate coverage. It is in the areas of siting, licensing and long term environmental protection that current regulations may be inappropriate. This is because many current regulations are by intent or by default specific to waste forms, facilities or missions significantly different from deep borehole disposition of excess weapons usable fissile material. It is expected that custom regulations can be evolved in the context of this mission.

  19. Uncertainty quantification in lattice QCD calculations for nuclear physics

    SciTech Connect

    Beane, Silas R.; Detmold, William; Orginos, Kostas; Savage, Martin J.

    2015-02-05

    The numerical technique of Lattice QCD holds the promise of connecting the nuclear forces, nuclei, the spectrum and structure of hadrons, and the properties of matter under extreme conditions with the underlying theory of the strong interactions, quantum chromodynamics. A distinguishing, and thus far unique, feature of this formulation is that all of the associated uncertainties, both statistical and systematic can, in principle, be systematically reduced to any desired precision with sufficient computational and human resources. As a result, we review the sources of uncertainty inherent in Lattice QCD calculations for nuclear physics, and discuss how each is quantified in current efforts.

  20. Using Nuclear Theory, Data and Uncertainties in Monte Carlo Transport Applications

    SciTech Connect

    Rising, Michael Evan

    2015-11-03

    These are slides for a presentation on using nuclear theory, data and uncertainties in Monte Carlo transport applications. The following topics are covered: nuclear data (experimental data versus theoretical models, data evaluation and uncertainty quantification), fission multiplicity models (fixed source applications, criticality calculations), uncertainties and their impact (integral quantities, sensitivity analysis, uncertainty propagation).

  1. HOW TO DEAL WITH WASTE ACCEPTANCE UNCERTAINTY USING THE WASTE ACCEPTANCE CRITERIA FORECASTING AND ANALYSIS CAPABILITY SYSTEM (WACFACS)

    SciTech Connect

    Redus, K. S.; Hampshire, G. J.; Patterson, J. E.; Perkins, A. B.

    2002-02-25

    The Waste Acceptance Criteria Forecasting and Analysis Capability System (WACFACS) is used to plan for, evaluate, and control the supply of approximately 1.8 million yd3 of low-level radioactive, TSCA, and RCRA hazardous wastes from over 60 environmental restoration projects between FY02 through FY10 to the Oak Ridge Environmental Management Waste Management Facility (EMWMF). WACFACS is a validated decision support tool that propagates uncertainties inherent in site-related contaminant characterization data, disposition volumes during EMWMF operations, and project schedules to quantitatively determine the confidence that risk-based performance standards are met. Trade-offs in schedule, volumes of waste lots, and allowable concentrations of contaminants are performed to optimize project waste disposition, regulatory compliance, and disposal cell management.

  2. Observational constraints on holographic dark energy with varying gravitational constant

    SciTech Connect

    Lu, Jianbo; Xu, Lixin; Saridakis, Emmanuel N.; Setare, M.R. E-mail: msaridak@phys.uoa.gr E-mail: lxxu@dlut.edu.cn

    2010-03-01

    We use observational data from Type Ia Supernovae (SN), Baryon Acoustic Oscillations (BAO), Cosmic Microwave Background (CMB) and observational Hubble data (OHD), and the Markov Chain Monte Carlo (MCMC) method, to constrain the cosmological scenario of holographic dark energy with varying gravitational constant. We consider both flat and non-flat background geometry, and we present the corresponding constraints and contour-plots of the model parameters. We conclude that the scenario is compatible with observations. In 1? we find ?{sub ?0} = 0.72{sup +0.03}{sub ?0.03}, ?{sub k0} = ?0.0013{sup +0.0130}{sub ?0.0040}, c = 0.80{sup +0.19}{sub ?0.14} and ?{sub G}?G'/G = ?0.0025{sup +0.0080}{sub ?0.0050}, while for the present value of the dark energy equation-of-state parameter we obtain w{sub 0} = ?1.04{sup +0.15}{sub ?0.20}.

  3. Modeling of Time Varying Slag Flow in Coal Gasifiers

    SciTech Connect

    Pilli, Siva Prasad; Johnson, Kenneth I.; Williford, Ralph E.; Sundaram, S. K.; Korolev, Vladimir N.; Crum, Jarrod V.

    2008-08-30

    There is considerable interest within government agencies and the energy industries across the globe to further advance the clean and economical conversion of coal into liquid fuels to reduce our dependency on imported oil. To date, advances in these areas have been largely based on experimental work. Although there are some detailed systems level performance models, little work has been done on numerical modeling of the component level processes. If accurate models are developed, then significant R&D time might be saved, new insights into the process might be gained, and some good predictions of process or performance can be made. One such area is the characterization of slag deposition and flow on the gasifier walls. Understanding slag rheology and slag-refractory interactions is critical to design and operation of gasifiers with extended refractory lifetimes and also to better control of operating parameters so that the overall gasifier performance with extended service life can be optimized. In the present work, the literature on slag flow modeling was reviewed and a model similar to Seggiani’s was developed to simulate the time varying slag accumulation and flow on the walls of a Prenflo coal gasifier. This model was further extended and modified to simulate a refractory wall gasifier including heat transfer through the refractory wall with flowing slag in contact with the refractory. The model was used to simulate temperature dependent slag flow using rheology data from our experimental slag testing program. These modeling results as well as experimental validation are presented.

  4. Device for producing a fluid stream of varying composition

    DOEpatents

    Moss, Owen R.; Clark, Mark L.; Rossignol, E. John

    1982-01-01

    A device for producing a fluid stream of varying composition comprises a chamber having an inlet at one end and outlet at the other. Between the inlet and outlet there are substantially planar pans or baffles positioned normal to the bulk flow of fluid between the inlet and the outlet. These pans are arranged in pairs. Each pan, except those of the pair most remote from the inlet, is spaced from the walls of the chamber to permit air to flow past it. The pans of each pair are also spaced from each other, in a direction parallel to their planes, leaving an empty space along the mid-plane of the chamber. This produces a circulation and mixing of fluid between the pairs of pans or baffles. A secondary stream of fluid is introduced between two pairs of baffles in the intermediate portion of the chamber, so that the composition of the fluid is different in the portion adjacent to the outlet and the portion adjacent to the inlet. In a specific embodiment, the device is an exposure chamber for experimental animals, and the pans or baffles are catch pans for excrement.

  5. A Comparison of Two Gasoline and Two Diesel Cars with Varying...

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

    A Comparison of Two Gasoline and Two Diesel Cars with Varying Emission Control Technologies A Comparison of Two Gasoline and Two Diesel Cars with Varying Emission Control ...

  6. Improved lower bound on the entropic uncertainty relation

    SciTech Connect

    Jafarpour, Mojtaba; Sabour, Abbass

    2011-09-15

    We present a lower bound on the entropic uncertainty relation for the distinguished measurements of two observables in a d-dimensional Hilbert space for d up to 5. This bound provides an improvement over the best one yet available. The feasibility of the obtained bound presenting an improvement for higher dimensions is also discussed.

  7. Reducing uncertainty in geostatistical description with well testing pressure data

    SciTech Connect

    Reynolds, A.C.; He, Nanqun; Oliver, D.S.

    1997-08-01

    Geostatistics has proven to be an effective tool for generating realizations of reservoir properties conditioned to static data, e.g., core and log data and geologic knowledge. Due to the lack of closely spaced data in the lateral directions, there will be significant variability in reservoir descriptions generated by geostatistical simulation, i.e., significant uncertainty in the reservoir descriptions. In past work, we have presented procedures based on inverse problem theory for generating reservoir descriptions (rock property fields) conditioned to pressure data and geostatistical information represented as prior means for log-permeability and porosity and variograms. Although we have shown that the incorporation of pressure data reduces the uncertainty below the level contained in the geostatistical model based only on static information (the prior model), our previous results assumed did not explicitly account for uncertainties in the prior means and the parameters defining the variogram model. In this work, we investigate how pressure data can help detect errors in the prior means. If errors in the prior means are large and are not taken into account, realizations conditioned to pressure data represent incorrect samples of the a posteriori probability density function for the rock property fields, whereas, if the uncertainty in the prior mean is incorporated properly into the model, one obtains realistic realizations of the rock property fields.

  8. Lidar arc scan uncertainty reduction through scanning geometry optimization

    DOE PAGES [OSTI]

    Wang, H.; Barthelmie, R. J.; Pryor, S. C.; Brown, G.

    2015-10-07

    Doppler lidars are frequently operated in a mode referred to as arc scans, wherein the lidar beam scans across a sector with a fixed elevation angle and the resulting measurements are used to derive an estimate of the n minute horizontal mean wind velocity (speed and direction). Previous studies have shown that the uncertainty in the measured wind speed originates from turbulent wind fluctuations and depends on the scan geometry (the arc span and the arc orientation). This paper is designed to provide guidance on optimal scan geometries for two key applications in the wind energy industry: wind turbine powermoreperformance analysis and annual energy production. We present a quantitative analysis of the retrieved wind speed uncertainty derived using a theoretical model with the assumption of isotropic and frozen turbulence, and observations from three sites that are onshore with flat terrain, onshore with complex terrain and offshore, respectively. The results from both the theoretical model and observations show that the uncertainty is scaled with the turbulence intensity such that the relative standard error on the 10 min mean wind speed is about 30 % of the turbulence intensity. The uncertainty in both retrieved wind speeds and derived wind energy production estimates can be reduced by aligning lidar beams with the dominant wind direction, increasing the arc span and lowering the number of beams per arc scan. Large arc spans should be used at sites with high turbulence intensity and/or large wind direction variation when arc scans are used for wind resource assessment.less

  9. THE EFFECT OF UNCERTAINTY IN MODELING COEFFICIENTS USED TO PREDICT...

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

    likely to vary for systems in different climates, depending on the distribution of temperature and irradiance, as well as for different technology types. As previously reported,...

  10. Powerplant productivity improvements and regulatory incentives

    SciTech Connect

    Hardy, D; Brown, D

    1980-10-27

    The purpose of this study was to examine the benefits to be gained from increased powerplant productivity and to validate and demonstrate the use of incentives within the regulatory process to promote the improvement of powerplant productivity. The system-wide costs savings to be gained from given productivity improvement scenarios are estimated in both the short and long term. Numerous reports and studies exist which indicate that productivity improvements at the powerplant level are feasible and cost effective. The efforts of this study widen this focus and relate system-wide productivity improvements with system-wide cost savings. The initial thrust of the regulatory section of this study is to validate the existence of reasonable incentive procedures which would enable regulatory agencies to better motivate electric utilities to improve productivity on both the powerplant and system levels. The voluntary incentive format developed in this study was designed to facilitate the link between profit and efficiency which is typically not clear in most regulated market environments. It is concluded that at the present time, many electric utilities in this country could significantly increase the productivity of their base load units, and the adoption of an incentive program of the general type recommended in this study would add to rate of return regulation the needed financial incentives to enable utilities to make such improvements without losing long-run profit. In light of the upcoming oil import target levels and mandatory cutbacks of oil and gas as boiler fuels for electric utilities, the use of incentive programs to encourage more efficient utilization of coal and nuclear base load capacity will become far more inviting over the next two decades.

  11. DOE regulatory reform initiative vitrified mixed waste

    SciTech Connect

    Carroll, S.J.; Holtzscheiter, E.W.; Flaherty, J.E.

    1997-12-31

    The US Department of Energy (DOE) is charged with responsibly managing the largest volume of mixed waste in the United States. This responsibility includes managing waste in compliance with all applicable Federal and State laws and regulations, and in a cost-effective, environmentally responsible manner. Managing certain treated mixed wastes in Resource Conservation and Recovery Act (RCRA) permitted storage and disposal units (specifically those mixed wastes that pose low risks from the hazardous component) is unlikely to provide additional protection to human health and the environment beyond that afforded by managing these wastes in storage and disposal units subject to requirements for radiological control. In October, 1995, the DOE submitted a regulatory reform proposal to the Environmental Protection Agency (EPA) relating to vitrified mixed waste forms. The technical proposal supports a regulatory strategy that would allow vitrified mixed waste forms treated through a permit or other environmental compliance mechanism to be granted an exemption from RCRA hazardous waste regulation, after treatment, based upon the inherent destruction and immobilization capabilities of vitrification technology. The vitrified waste form will meet, or exceed the performance criteria of the Environmental Assessment (EA) glass that has been accepted as an international standard for immobilizing radioactive waste components and the LDR treatment standards for inorganics and metals for controlling hazardous constituents. The proposal further provides that vitrified mixed waste would be responsibly managed under the Atomic Energy Act (AEA) while reducing overall costs. Full regulatory authority by the EPA or a State would be maintained until an acceptable vitrified mixed waste form, protective of human health and the environment, is produced.

  12. Understanding the Energy Policy and Regulatory Environment

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

    Understanding the Energy Policy & Regulatory Environment May 4, 2016 11:00 am - 12:30 PM MDT Tribal Energy Development Operation and Management Best Practices 2 Todays Presenters * Randy Manion Manion@wapa.gov * Doug MacCourt Douglas.Maccourt@hq.doe.gov * Sarai Geary, Sarai.geary@hq.doe.gov * Jana Ganion, jana.ganion@bluelakerancheria- nsn.gov * Theresa Cole, tcole@aha-nsn.gov 3 Questions * Answers to all questions submitted electronically during today's webinar will be posted on DOE's OIE

  13. Instrument uncertainty effect on calculation of absolute humidity using dewpoint, wet-bulb, and relative humidity sensors

    SciTech Connect

    Slayzak, S.J.; Ryan, J.P.

    1998-04-01

    As part of the US Department of Energy`s Advanced Desiccant Technology Program, the National Renewable Energy Laboratory (NREL) is characterizing the state-of-the-art in desiccant dehumidifiers, the key component of desiccant cooling systems. The experimental data will provide industry and end users with independent performance evaluation and help researchers assess the energy savings potential of the technology. Accurate determination of humidity ratio is critical to this work and an understanding of the capabilities of the available instrumentation is central to its proper application. This paper compares the minimum theoretical random error in humidity ratio calculation for three common measurement methods to give a sense of the relative maximum accuracy possible for each method assuming systematic errors can be made negligible. A series of experiments conducted also illustrate the capabilities of relative humidity sensors as compared to dewpoint sensors in measuring the grain depression of desiccant dehumidifiers. These tests support the results of the uncertainty analysis. At generally available instrument accuracies, uncertainty in calculated humidity ratio for dewpoint sensors is determined to be constant at approximately 2%. Wet-bulb sensors range between 2% and 6% above 10 g/kg (4%--15% below), and relative humidity sensors vary between 4% above 90% rh and 15% at 20% rh. Below 20% rh, uncertainty for rh sensors increases dramatically. Highest currently attainable accuracies bring dewpoint instruments down to 1% uncertainty, wet bulb to a range of 1%--3% above 10 g/kg (1.5%--8% below), and rh sensors between 1% and 5%.

  14. Identifying Synonymous Regulatory Elements in Vertebrate Genomes

    SciTech Connect

    Ovcharenko, I; Nobrega, M A

    2005-02-07

    Synonymous gene regulation, defined as driving shared temporal and/or spatial expression of groups of genes, is likely predicated on genomic elements that contain similar modules of certain transcription factor binding sites (TFBS). We have developed a method to scan vertebrate genomes for evolutionary conserved modules of TFBS in a predefined configuration, and created a tool, named SynoR that identify synonymous regulatory elements (SREs) in vertebrate genomes. SynoR performs de novo identification of SREs utilizing known patterns of TFBS in active regulatory elements (REs) as seeds for genome scans. Layers of multiple-species conservation allow the use of differential phylogenetic sequence conservation filters in the search of SREs and the results are displayed as to provide an extensive annotation of genes containing detected REs. Gene Ontology categories are utilized to further functionally classify the identified genes, and integrated GNF Expression Atlas 2 data allow the cataloging of tissue-specificities of the predicted SREs. We illustrate how this new tool can be used to establish a linkage between human diseases and noncoding genomic content. SynoR is publicly available at http://synor.dcode.org.

  15. Giant dipole resonance parameters with uncertainties from photonuclear cross sections

    SciTech Connect

    Plujko, V.A.; Capote, R.; Gorbachenko, O.M.

    2011-09-15

    Updated values and corresponding uncertainties of isovector giant dipole resonance (IVGDR or GDR) model parameters are presented that are obtained by the least-squares fitting of theoretical photoabsorption cross sections to experimental data. The theoretical photoabsorption cross section is taken as a sum of the components corresponding to excitation of the GDR and quasideuteron contribution to the experimental photoabsorption cross section. The present compilation covers experimental data as of January 2010. - Highlights: {yields} Experimental {sigma} ({gamma}, abs) or a sum of partial cross sections are taken as input to the fitting. {yields} Data include contributions from photoproton reactions. {yields} Standard (SLO) or modified (SMLO) Lorentzian approaches are used for formulating GDR models. {yields} Spherical or axially deformed nuclear shapes are used in GDR least-squares fit. {yields} Values and uncertainties of the SLO and SMLO GDR model parameters are tabulated.

  16. Uncertainty Quantification and Propagation in Nuclear Density Functional Theory

    SciTech Connect

    Schunck, N; McDonnell, J D; Higdon, D; Sarich, J; Wild, S M

    2015-03-17

    Nuclear density functional theory (DFT) is one of the main theoretical tools used to study the properties of heavy and superheavy elements, or to describe the structure of nuclei far from stability. While on-going eff orts seek to better root nuclear DFT in the theory of nuclear forces, energy functionals remain semi-phenomenological constructions that depend on a set of parameters adjusted to experimental data in fi nite nuclei. In this paper, we review recent eff orts to quantify the related uncertainties, and propagate them to model predictions. In particular, we cover the topics of parameter estimation for inverse problems, statistical analysis of model uncertainties and Bayesian inference methods. Illustrative examples are taken from the literature.

  17. Charges versus taxes under uncertainty: A look from investment theory

    SciTech Connect

    Kohlhaas, M.

    1996-12-31

    The search for more cost-efficient economic instruments for environmental protection has been conducted with different priorities in the USA and most European countries. Whereas in Europe there seems to prevail a preference for charges and taxes, in the USA tradeable permits are preferred. Environmental policy has to take into consideration the trade-off between price uncertainty and ecological effectiveness. In the short run and on a national level, ecological effectiveness is less important, and price uncertainty is smaller with environmental taxes. In the long run and in an international framework, environmental constraints and repercussions on world market prices of energy become more important. Since taxes are politically more accepted in Europe, it would make sense to start with an ecological tax reform, which can be transformed or integrated into a system of internationally tradeable permits gradually.

  18. Investigation of uncertainty components in Coulomb blockade thermometry

    SciTech Connect

    Hahtela, O. M.; Heinonen, M.; Manninen, A.; Meschke, M.; Savin, A.; Pekola, J. P.; Gunnarsson, D.; Prunnila, M.; Penttil, J. S.; Roschier, L.

    2013-09-11

    Coulomb blockade thermometry (CBT) has proven to be a feasible method for primary thermometry in every day laboratory use at cryogenic temperatures from ca. 10 mK to a few tens of kelvins. The operation of CBT is based on single electron charging effects in normal metal tunnel junctions. In this paper, we discuss the typical error sources and uncertainty components that limit the present absolute accuracy of the CBT measurements to the level of about 1 % in the optimum temperature range. Identifying the influence of different uncertainty sources is a good starting point for improving the measurement accuracy to the level that would allow the CBT to be more widely used in high-precision low temperature metrological applications and for realizing thermodynamic temperature in accordance to the upcoming new definition of kelvin.

  19. Uncertainties in nuclear transition matrix elements of neutrinoless ?? decay

    SciTech Connect

    Rath, P. K.

    2013-12-30

    To estimate the uncertainties associated with the nuclear transition matrix elements M{sup (K)} (K=0?/0N) for the 0{sup +} ? 0{sup +} transitions of electron and positron emitting modes of the neutrinoless ?? decay, a statistical analysis has been performed by calculating sets of eight (twelve) different nuclear transition matrix elements M{sup (K)} in the PHFB model by employing four different parameterizations of a Hamiltonian with pairing plus multipolar effective two-body interaction and two (three) different parameterizations of Jastrow short range correlations. The averages in conjunction with their standard deviations provide an estimate of the uncertainties associated the nuclear transition matrix elements M{sup (K)} calculated within the PHFB model, the maximum of which turn out to be 13% and 19% owing to the exchange of light and heavy Majorana neutrinos, respectively.

  20. Size exclusion deep bed filtration: Experimental and modelling uncertainties

    SciTech Connect

    Badalyan, Alexander You, Zhenjiang; Aji, Kaiser; Bedrikovetsky, Pavel; Carageorgos, Themis; Zeinijahromi, Abbas

    2014-01-15

    A detailed uncertainty analysis associated with carboxyl-modified latex particle capture in glass bead-formed porous media enabled verification of the two theoretical stochastic models for prediction of particle retention due to size exclusion. At the beginning of this analysis it is established that size exclusion is a dominant particle capture mechanism in the present study: calculated significant repulsive Derjaguin-Landau-Verwey-Overbeek potential between latex particles and glass beads is an indication of their mutual repulsion, thus, fulfilling the necessary condition for size exclusion. Applying linear uncertainty propagation method in the form of truncated Taylor's series expansion, combined standard uncertainties (CSUs) in normalised suspended particle concentrations are calculated using CSUs in experimentally determined parameters such as: an inlet volumetric flowrate of suspension, particle number in suspensions, particle concentrations in inlet and outlet streams, particle and pore throat size distributions. Weathering of glass beads in high alkaline solutions does not appreciably change particle size distribution, and, therefore, is not considered as an additional contributor to the weighted mean particle radius and corresponded weighted mean standard deviation. Weighted mean particle radius and LogNormal mean pore throat radius are characterised by the highest CSUs among all experimental parameters translating to high CSU in the jamming ratio factor (dimensionless particle size). Normalised suspended particle concentrations calculated via two theoretical models are characterised by higher CSUs than those for experimental data. The model accounting the fraction of inaccessible flow as a function of latex particle radius excellently predicts normalised suspended particle concentrations for the whole range of jamming ratios. The presented uncertainty analysis can be also used for comparison of intra- and inter-laboratory particle size exclusion data.

  1. Comment on ''Improved bounds on entropic uncertainty relations''

    SciTech Connect

    Bosyk, G. M.; Portesi, M.; Plastino, A.; Zozor, S.

    2011-11-15

    We provide an analytical proof of the entropic uncertainty relations presented by J. I. de Vicente and J. Sanchez-Ruiz [Phys. Rev. A 77, 042110 (2008)] and also show that the replacement of Eq. (27) by Eq. (29) in that reference introduces solutions that do not take fully into account the constraints of the problem, which in turn lead to some mistakes in their treatment.

  2. Lidar arc scan uncertainty reduction through scanning geometry optimization

    DOE PAGES [OSTI]

    Wang, Hui; Barthelmie, Rebecca J.; Pryor, Sara C.; Brown, Gareth.

    2016-04-13

    Doppler lidars are frequently operated in a mode referred to as arc scans, wherein the lidar beam scans across a sector with a fixed elevation angle and the resulting measurements are used to derive an estimate of the n minute horizontal mean wind velocity (speed and direction). Previous studies have shown that the uncertainty in the measured wind speed originates from turbulent wind fluctuations and depends on the scan geometry (the arc span and the arc orientation). This paper is designed to provide guidance on optimal scan geometries for two key applications in the wind energy industry: wind turbine power performance analysis and annualmore » energy production prediction. We present a quantitative analysis of the retrieved wind speed uncertainty derived using a theoretical model with the assumption of isotropic and frozen turbulence, and observations from three sites that are onshore with flat terrain, onshore with complex terrain and offshore, respectively. The results from both the theoretical model and observations show that the uncertainty is scaled with the turbulence intensity such that the relative standard error on the 10 min mean wind speed is about 30% of the turbulence intensity. The uncertainty in both retrieved wind speeds and derived wind energy production estimates can be reduced by aligning lidar beams with the dominant wind direction, increasing the arc span and lowering the number of beams per arc scan. As a result, large arc spans should be used at sites with high turbulence intensity and/or large wind direction variation.« less

  3. Lidar arc scan uncertainty reduction through scanning geometry optimization

    DOE PAGES [OSTI]

    Wang, Hui; Barthelmie, Rebecca J.; Pryor, Sara C.; Brown, Gareth.

    2016-04-13

    Doppler lidars are frequently operated in a mode referred to as arc scans, wherein the lidar beam scans across a sector with a fixed elevation angle and the resulting measurements are used to derive an estimate of the n minute horizontal mean wind velocity (speed and direction). Previous studies have shown that the uncertainty in the measured wind speed originates from turbulent wind fluctuations and depends on the scan geometry (the arc span and the arc orientation). This paper is designed to provide guidance on optimal scan geometries for two key applications in the wind energy industry: wind turbine power performance analysis and annualmore » energy production prediction. We present a quantitative analysis of the retrieved wind speed uncertainty derived using a theoretical model with the assumption of isotropic and frozen turbulence, and observations from three sites that are onshore with flat terrain, onshore with complex terrain and offshore, respectively. The results from both the theoretical model and observations show that the uncertainty is scaled with the turbulence intensity such that the relative standard error on the 10 min mean wind speed is about 30 % of the turbulence intensity. The uncertainty in both retrieved wind speeds and derived wind energy production estimates can be reduced by aligning lidar beams with the dominant wind direction, increasing the arc span and lowering the number of beams per arc scan. Large arc spans should be used at sites with high turbulence intensity and/or large wind direction variation.« less

  4. Neutron reactions and climate uncertainties earn Los Alamos scientists DOE

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

    Early Career awards DOE Early Career awards Neutron reactions and climate uncertainties earn Los Alamos scientists DOE Early Career awards Marian Jandel and Nathan Urban are among the 61 national recipients of the Energy Department's Early Career Research Program awards for 2013. May 10, 2013 Marian Jandel (left) and Nathan Urban Marian Jandel (left) and Nathan Urban Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email Marian and Nathan are excellent examples of the

  5. Composite Multilinearity, Epistemic Uncertainty and Risk Achievement Worth

    SciTech Connect

    E. Borgonovo; C. L. Smith

    2012-10-01

    Risk Achievement Worth is one of the most widely utilized importance measures. RAW is defined as the ratio of the risk metric value attained when a component has failed over the base case value of the risk metric. Traditionally, both the numerator and denominator are point estimates. Relevant literature has shown that inclusion of epistemic uncertainty i) induces notable variability in the point estimate ranking and ii) causes the expected value of the risk metric to differ from its nominal value. We obtain the conditions under which the equality holds between the nominal and expected values of a reliability risk metric. Among these conditions, separability and state-of-knowledge independence emerge. We then study how the presence of epistemic uncertainty aspects RAW and the associated ranking. We propose an extension of RAW (called ERAW) which allows one to obtain a ranking robust to epistemic uncertainty. We discuss the properties of ERAW and the conditions under which it coincides with RAW. We apply our findings to a probabilistic risk assessment model developed for the safety analysis of NASA lunar space missions.

  6. Errors and Uncertainties in Dose Reconstruction for Radiation Effects Research

    SciTech Connect

    Strom, Daniel J.

    2008-04-14

    Dose reconstruction for studies of the health effects of ionizing radiation have been carried out for many decades. Major studies have included Japanese bomb survivors, atomic veterans, downwinders of the Nevada Test Site and Hanford, underground uranium miners, and populations of nuclear workers. For such studies to be credible, significant effort must be put into applying the best science to reconstructing unbiased absorbed doses to tissues and organs as a function of time. In many cases, more and more sophisticated dose reconstruction methods have been developed as studies progressed. For the example of the Japanese bomb survivors, the dose surrogate “distance from the hypocenter” was replaced by slant range, and then by TD65 doses, DS86 doses, and more recently DS02 doses. Over the years, it has become increasingly clear that an equal level of effort must be expended on the quantitative assessment of uncertainty in such doses, and to reducing and managing uncertainty. In this context, this paper reviews difficulties in terminology, explores the nature of Berkson and classical uncertainties in dose reconstruction through examples, and proposes a path forward for Joint Coordinating Committee for Radiation Effects Research (JCCRER) Project 2.4 that requires a reasonably small level of effort for DOSES-2008.

  7. Error and uncertainty in Raman thermal conductivity measurements

    DOE PAGES [OSTI]

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materialsmore » under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.« less

  8. Error and uncertainty in Raman thermal conductivity measurements

    SciTech Connect

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materials under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.

  9. MHI Comments to DOE-Regulatory Review | Department of Energy

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

    MHI Comments to DOE-Regulatory Review MHI Comments to DOE-Regulatory Review On behalf of the Manufactured Housing Institute (MHI) I am pleased to respond to the Department of Energy's (DOE's) May 15, 2012 request for comments and information regarding regulations that should be modified, streamlined, expanded, or repealed as a part of its implementation of Executive Order 13563, "Improving Regulation and Regulatory Review," issued by the President on January 18, 2011.

  10. CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Work Plan

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

    Development - 2016/17; April 12, 2016 | Department of Energy CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Work Plan Development - 2016/17; April 12, 2016 CANADA-UNITED STATES REGULATORY COOPERATION COUNCIL Webinar: Work Plan Development - 2016/17; April 12, 2016 Work Plan and Development 2016-04-12 (207.15 KB) More Documents & Publications Canada-United States Regulatory Cooperation Council Webinar: Proposed Approach for Energy Efficiency Standards North America Energy

  11. Environmental sciences division: Environmental regulatory update table July 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-08-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental Regulatory Update Table, March/April 1993. Revision 1

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table, January--February 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental regulatory update table, September--October 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental Regulatory Update Table, March/April 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, May/June 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Regulatory Update Table July/August 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, July--August 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Regulatory Update Table, January/February 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

  20. Environmental Regulatory Update Table, November--December 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1993-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly wit information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental Regulatory Update Table, September/October 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operation and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, November--December 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-01-01

    The Environmental Regulatory Update Table provides information on regulatory of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, May--June 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Federal Energy Regulatory Commission's Fiscal Year 2010 Financial Statement Audit

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

    (4/93) United States Government Department of Energy Memorandum DATE: November 9, 2010 REPLY TO ATTN TO: IG-34 (A10FN002) SUBJECT: Federal Energy Regulatory Commission's Fiscal Year 2010 Financial Statement Audit Report No.: OAS-FS-11-02 TO: Chairman, Federal Energy Regulatory Commission The attached report presents the results of the independent certified public accountants' audit of the Federal Energy Regulatory Commission's (Commission) Fiscal Year 2010 balance sheet and the related

  5. Federal / State Legislative & Regulatory Changes Required for Introduction

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

    of E15 | Department of Energy / State Legislative & Regulatory Changes Required for Introduction of E15 Federal / State Legislative & Regulatory Changes Required for Introduction of E15 Overview EPA Waiver Decision E15 Implementation Issues Federal and State Blending Restrictions Action by ASTM / NCWM to address higher ethanol blends Federal / State Legislative & Regulatory Changes Required for Introduction of E15 (2.81 MB) More Documents & Publications Vehicle Certification

  6. Federal Energy Regulatory Commission's Fiscal Year 2014 Financial Statement Audit

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

    Federal Energy Regulatory Commission's Fiscal Year 2014 Financial Statement Audit OAS-FS-15-05 December 2014 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 December 17, 2014 MEMORANDUM FOR THE CHAIRMAN, FEDERAL ENERGY REGULATORY COMMISSION FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General SUBJECT: INFORMATION: Audit Report on "Federal Energy Regulatory

  7. Environmental regulatory update table: September/October 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental regulatory update table, March--April 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, January--February 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations ad contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental Regulatory Update Table, March/April 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Information resources in state regulatory agencies-a California perspective

    SciTech Connect

    DiZio, S.M.

    1990-12-31

    Various state regulatory agencies have expressed a need for networking with information gatherers/researchers to produce a concise compilation of primary information so that the basis for regulatory standards can be scientifically referenced. California has instituted several programs to retrieve primary information, generate primary information through research, and generate unique regulatory standards by integrating the primary literature and the products of research. This paper describes these programs.

  12. Environmental regulatory update table, July/August 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental regulatory update table November--December 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

    1995-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Comments from The National Association of Regulatory Utility Commissioners

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

    (NARUC) on the Smart Grid RFI | Department of Energy from The National Association of Regulatory Utility Commissioners (NARUC) on the Smart Grid RFI Comments from The National Association of Regulatory Utility Commissioners (NARUC) on the Smart Grid RFI The National Association of Regulatory Utility Commissioners (NARUC) appreciates the opportunity to provide comments to the Department of Energy (DOE) on this Request for Information (RFI) regarding the policy and logistical challenges of the

  15. Canada-United States Regulatory Cooperation Council Webinar: Proposed

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

    Approach for Energy Efficiency Standards | Department of Energy Canada-United States Regulatory Cooperation Council Webinar: Proposed Approach for Energy Efficiency Standards Canada-United States Regulatory Cooperation Council Webinar: Proposed Approach for Energy Efficiency Standards This is a presentation from the January 12, 2015 Canada-United States Regulatory Cooperation Council webinar for Natural Resources Canada and the US Department of Energy regarding a proposed approach for energy

  16. Summary Report on Industrial and Regulatory Engagement Activities |

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

    Department of Energy Report on Industrial and Regulatory Engagement Activities Summary Report on Industrial and Regulatory Engagement Activities The Advanced Instrumentation, Information, and Control (II&C) Systems Technologies pathway of the Light Water Reactor Sustainability(LWRS) Program conducts a vigorous engagement strategy with the U.S. nuclear power industry, including the nuclear operating companies, major support organizations, the Nuclear Regulatory Commission (NRC), and

  17. Daniel Cohen Assistant General Counsel for Legislation and Regulatory...

    Energy Saver

    Daniel Cohen Assistant General Counsel for Legislation and Regulatory Law Office of the General Counsel Department of Energy 1000 Independence Avenue, SW Washington, DC 20585-0121 ...

  18. Daniel Cohen Assistant General Counsel for Legislation and Regulatory...

    Energy Saver

    2, 2014 Daniel Cohen Assistant General Counsel for Legislation and Regulatory Law Office of the General Counsel Department of Energy 1000 Independence Avenue, SW Washington, DC ...

  19. Grid Renewable Energy-Policy and Regulatory Studies | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Studies Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Grid Renewable Energy-Policy and Regulatory Studies AgencyCompany Organization: World Bank Sector: Energy...

  20. Federal Bulk Transmission Regulatory Roadmapping | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Federal Bulk Transmission Regulatory Roadmapping Home > Features > Groups Content Group Activity By term Q & A Feeds Content type Blog entry Discussion Document Event Poll...

  1. Codes and standards and other guidance cited in regulatory documents

    SciTech Connect

    Nickolaus, J.R.; Vinther, R.W.; Maguire-Moffitt, N.E.; Hammer, J.A.; Sherfey, L.L.; Warner, R.D. )

    1993-01-01

    As part of the US Nuclear Regulatory Commission (NRC) Standard Review Plan Update and Development Program, Pacific Northwest Laboratory developed a listing of industry consensus codes and standards and other government and industry guidance referred to in regulatory documents. This listing identifies the version of the code or standard cited in the regulatory document, and the current version of the code or standard. It also provides a summary characterization of the nature of the citation. This listing was developed from electronic searches of the Code of Federal Regulations and NRC's Bulletins, Information Notices, Circulars, Generic Letters, Policy Statements, Regulatory Guides, and Standard Review Plan (NUREG-08000).

  2. Codes and standards and other guidance cited in regulatory documents

    SciTech Connect

    Nickolaus, J.R.; Vinther, R.W.; Maguire-Moffitt, N.E.; Hammer, J.A.; Sherfey, L.L.; Warner, R.D.

    1993-01-01

    As part of the US Nuclear Regulatory Commission (NRC) Standard Review Plan Update and Development Program, Pacific Northwest Laboratory developed a listing of industry consensus codes and standards and other government and industry guidance referred to in regulatory documents. This listing identifies the version of the code or standard cited in the regulatory document, and the current version of the code or standard. It also provides a summary characterization of the nature of the citation. This listing was developed from electronic searches of the Code of Federal Regulations and NRC`s Bulletins, Information Notices, Circulars, Generic Letters, Policy Statements, Regulatory Guides, and Standard Review Plan (NUREG-08000).

  3. ORISE: U.S. Nuclear Regulatory Commission Radiation Exposure...

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

    Information and Reporting System (REIRS) The U.S. Nuclear Regulatory Commission (NRC) is required by federal mandate to maintain and evaluate radiation protection data for...

  4. Regulatory and Permitting Information Desktop Toolkit (Fact Sheet)

    SciTech Connect

    Young, K.

    2014-04-01

    Overview of DOE's Regulatory and Permitting Information Desktop (RAPID) Toolkit project, providing information on where to go to view documents and who to contact to get involved.

  5. Hydropower Regulatory Efficiency Act of 2013 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    navigation, search OpenEI Reference LibraryAdd to library Legal Document- BillBill: Hydropower Regulatory Efficiency Act of 2013Legal Abstract Amends statutory provisions related...

  6. Regulatory Roadmap Workshop for Federal Bulk Transmission Regulations...

    OpenEI (Open Energy Information) [EERE & EIA]

    for bulk transmission. Date: Tuesday, 29 July, 2014 - 09:30 - 15:30 Location: NREL Education Center Auditorium Golden, Colorado Groups: Federal Bulk Transmission Regulatory...

  7. Stand-alone Renewable Energy-Policy and Regulatory Studies |...

    OpenEI (Open Energy Information) [EERE & EIA]

    icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map References: Stand-alone Renewable Energy-Policy and Regulatory Studies1 Resources PV for Rural Electrification...

  8. Safety and Regulatory Structure for CNG, CNG-Hydrogen, Hydrogen...

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

    Hydrogen, Hydrogen Vehicles and Fuels in China Safety and Regulatory Structure for CNG, CNG-Hydrogen, Hydrogen Vehicles and Fuels in China Presentation given by Jinyang Zheng of ...

  9. Gregory H. Friedman: Before the Subcommittee on Regulatory Affairs...

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

    U.S. House of Representatives Gregory H. Friedman: Before the Subcommittee on Regulatory ... Representatives Statement of Gregory H. Friedman, Inspector General, U.S. Department of ...

  10. 1992 Memorandum of Understanding between the Federal Energy Regulatory...

    OpenEI (Open Energy Information) [EERE & EIA]

    between the Federal Energy Regulatory Commission and the Department of Interior, Bureau of Reclamation Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  11. Regulatory and Financial Reform of Federal Research Policy: Recommenda...

    Office of Environmental Management (EM)

    for regulatory reform that would improve research universities' ability to carry out their missions without requiring a significant financial investment by the Federal government. ...

  12. Nevada Meeting #2 - Regulatory Issues | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Nevada Meeting 2 - Regulatory Issues Home > Blogs > Kyoung's blog Kyoung's picture Submitted by Kyoung(150) Contributor 2 August, 2012 - 18:43 water + monitoring + Nevada +...

  13. Thoughts after the Geothermal Regulatory Roadmap Advisory Meeting...

    OpenEI (Open Energy Information) [EERE & EIA]

    Thoughts after the Geothermal Regulatory Roadmap Advisory Meeting Home > Blogs > Twnrel's blog Twnrel's picture Submitted by Twnrel(12) Member 23 July, 2012 - 11:51 meetings +...

  14. Army Corps of Engineers - Regulatory Guidance Letters | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Guidance Letters Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Army Corps of Engineers - Regulatory Guidance Letters Abstract This webpage...

  15. Category:Bulk Transmission Regulatory Roadmap Sections | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Login | Sign Up Search Category Edit History Category:Bulk Transmission Regulatory Roadmap Sections Jump to: navigation, search GRR-logo.png Looking for the RAPIDRoadmap?...

  16. Category:Hydropower Regulatory Roadmap Sections | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Community Login | Sign Up Search Category Edit History Category:Hydropower Regulatory Roadmap Sections Jump to: navigation, search RAPID Toolkit Add.png Add a Section Pages in...

  17. Category:Solar Regulatory Roadmap Sections | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Community Login | Sign Up Search Category Edit History Category:Solar Regulatory Roadmap Sections Jump to: navigation, search GRR-logo.png Looking for the RAPIDRoadmap?...

  18. Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory...

    Office of Legacy Management (LM)

    111989 Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission Region I 475 Allendale Road King of Prussia. Pennsylvania 19406 Dear Mr. Kinneman: -;' .-. 'W ...

  19. California Department of Fish and Wildlife: Federal Energy Regulatory...

    OpenEI (Open Energy Information) [EERE & EIA]

    Fish and Wildlife: Federal Energy Regulatory Commission (FERC) Hydroelectric Projects Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: California...

  20. Comments on Request For Information regarding Reducing Regulatory...

    Office of Environmental Management (EM)

    In the Department of Energy"s (DOE) attempt to meet its obligation to implement Executive Order 13563, ""Improving Regulation and Regulatory Review,"" issued by the President on ...

  1. Edison Electric Institute (EEI) Reducing Regulatory Burden RFI...

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

    request for information (RFI) issued by the Department of Energy (DOE). ... 5-29-12.pdf More Documents & Publications Edison Electric Institute (EEI) Regulatory Burden RFI, 77 ...

  2. 33 CFR 320: General Regulatory Policies | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Retrieved from "http:en.openei.orgwindex.php?title33CFR320:GeneralRegulatoryPolicies&oldid890296" Feedback Contact needs updating Image needs updating Reference...

  3. Texas - PUC - Public Utility Regulatory Act | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Act (2011). Retrieved from "http:en.openei.orgwindex.php?titleTexas-PUC-PublicUtilityRegulatoryAct&oldid800942" Feedback Contact needs updating Image needs...

  4. Public Utility Regulatory Act - Texas | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    http:crossref.org Citation Retrieved from "http:en.openei.orgwindex.php?titlePublicUtilityRegulatoryAct-Texas&oldid792167" Feedback Contact needs updating...

  5. NAESCO Comments on Reducing Regulatory Burden RFI Final

    Office of Energy Efficiency and Renewable Energy (EERE)

    The National Association of Energy Service Companies (NAESCO) appreciates the opportunity to submit these comments in response to the Request for Information (RFI) entitled, “Reducing Regulatory...

  6. Achieving Robustness to Uncertainty for Financial Decision-making

    SciTech Connect

    Barnum, George M.; Van Buren, Kendra L.; Hemez, Francois M.; Song, Peter

    2014-01-10

    This report investigates the concept of robustness analysis to support financial decision-making. Financial models, that forecast future stock returns or market conditions, depend on assumptions that might be unwarranted and variables that might exhibit large fluctuations from their last-known values. The analysis of robustness explores these sources of uncertainty, and recommends model settings such that the forecasts used for decision-making are as insensitive as possible to the uncertainty. A proof-of-concept is presented with the Capital Asset Pricing Model. The robustness of model predictions is assessed using info-gap decision theory. Info-gaps are models of uncertainty that express the “distance,” or gap of information, between what is known and what needs to be known in order to support the decision. The analysis yields a description of worst-case stock returns as a function of increasing gaps in our knowledge. The analyst can then decide on the best course of action by trading-off worst-case performance with “risk”, which is how much uncertainty they think needs to be accommodated in the future. The report also discusses the Graphical User Interface, developed using the MATLAB® programming environment, such that the user can control the analysis through an easy-to-navigate interface. Three directions of future work are identified to enhance the present software. First, the code should be re-written using the Python scientific programming software. This change will achieve greater cross-platform compatibility, better portability, allow for a more professional appearance, and render it independent from a commercial license, which MATLAB® requires. Second, a capability should be developed to allow users to quickly implement and analyze their own models. This will facilitate application of the software to the evaluation of proprietary financial models. The third enhancement proposed is to add the ability to evaluate multiple models simultaneously

  7. Regulatory Review of Early Site Permit Applications

    SciTech Connect

    Scott, Michael L.

    2004-07-01

    The U.S. Nuclear Regulatory Commission (NRC) has received and is reviewing three applications for early site permits (ESPs). The ESP process allows early resolution of site-related issues affecting possible construction and operation of a new nuclear power plant. The nuclear industry views a successful and predictable ESP process as an important step in assessing whether to seek authorization to construct and operate a new generation of nuclear power reactors in the United States. Because consideration of ESP applications is a first-of-a-kind activity, a number of issues have emerged prior to and during the reviews of the first three applications. Issues have included the need for design information at the ESP stage, accident analyses, quality assurance, and seismic analyses. The NRC has been working to resolve identified issues to support a Commission decision on whether to issue an ESP approximately 33-37 months after receipt of each ESP application. (authors)

  8. Attempt to estimate measurement uncertainty in the Air Force Toxic Chemical Dispersion (AFTOX) model. Master's thesis

    SciTech Connect

    Zettlemoyer, M.D.

    1990-01-01

    The Air Force Toxic Chemical Dispersion (AFTOX) model is a Gaussian puff dispersion model that predicts plumes, concentrations, and hazard distances of toxic chemical spills. A measurement uncertainty propagation formula derived by Freeman et al. (1986) is used within AFTOX to estimate resulting concentration uncertainties due to the effects of data input uncertainties in wind speed, spill height, emission rate, and the horizontal and vertical Gaussian dispersion parameters, and the results are compared to true uncertainties as estimated by standard deviations computed by Monte Carlo simulations. The measurement uncertainty uncertainty propagation formula was found to overestimate measurement uncertainty in AFTOX-calculated concentrations by at least 350 percent, with overestimates worsening with increasing stability and/or increasing measurement uncertainty.

  9. A Two-Step Approach to Uncertainty Quantification of Core Simulators...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: A Two-Step Approach to Uncertainty Quantification of Core Simulators Citation Details In-Document Search Title: A Two-Step Approach to Uncertainty Quantification of ...

  10. Approach of Czech regulatory body to LBB

    SciTech Connect

    Tendera, P.

    1997-04-01

    At present there are two NPPs equipped with PWR units in Czech Republic. The Dukovany, NPP is about ten years in operation (four units 440 MW - WWBFL model 213) and Tomelin NPP is under construction (two units 1000 MW - WWER model 320). Both NPPs were built to Soviet design and according to Soviet regulations and standards but most of equipment for primary circuits was supplied by home manufacturers. The objective of the Czech LBB program is to prove the LBB status of the primary piping systems of there NPPs and the LBB concept is a part of strategy to meet western style safety standards. The reason for the Czech LBB project is a lack of some standard safety Facilities too. For both Dukovany and Tomelin NPPs a full LBB analysis should be carried out. The application of LBB to the piping system should be also a cost effective means to avoid installations of pipe whip restraints and jet shields. The Czech regulatory body issued non-mandatory requirement, {open_quotes}Leak Before Break{close_quotes} which is in compliance with national legal documents and which is based on the US NRC Regulatory Procedures and US standards (ASMF CODE, ANSI). The requirement has been published in the document {open_quotes}Safety of Nuclear Facilities{close_quotes} No 1/1991 as {open_quotes}Requirements on the Content and Format of Safety Reports and their Supplements{close_quote} and consist of two parts (1) procedure for obtaining proof of evidence {open_quotes}Leak Before Break{close_quotes} (2) leak detection systems for the pressurized reactor primary circuit. At present some changes concerning both parts of the above document will be introduced. The reasons for this modifications will be presented.

  11. Approach for Czech regulatory body to LBB

    SciTech Connect

    Tendera, P.

    1997-04-01

    At present there are two NPPs equipped with PWR units in Czech Republic. The Dukovany NPP is about ten years in operation (four units 440 MW - WWER model 213) and Temelin NPP is under construction (two units 1000 MW-WWER model 320). Both NPPs were built to Soviet design and according to Soviet regulations and standards but most of equipment for primary circuits was supplied by home manufactures. The objective for the Czech LBB programme is to prove the LBB status of the primary piping systems of these NPPs and the LBB concept is a part of strategy to meet western style safety standards. The reason for the Czech LBB project is a lack of some standard safety facilities, too. For both Dukovany and Temolin NPPs a full LBB analysis should be carried out. The application of LBB to the piping system should be also a cost effective means to avoid installations of pipe whip restraints and jet shields. The Czech regulatory body issued non-mandatory requirement {open_quotes}Leak Before Break{close_quotes} which is in compliance with national legal documents and which is based on the US NRC Regulatory Procedures and US standards (ASME, CODE, ANSI). The requirement has been published in the document {open_quotes}Safety of Nuclear Facilities{close_quotes} No. 1/1991 as {open_quotes}Requirements on the Content and Format of Safety Reports and their Supplements{close_quotes} and consists of two parts (1) procedure for obtaining proof of evidence {open_quotes}Leak Before Break{close_quotes} (2) leak detection systems for the pressurized reactor primary circuit. At present some changes concerning both parts of the above document will be introduced. The reasons for this modifications will be presented.

  12. TRITIUM UNCERTAINTY ANALYSIS FOR SURFACE WATER SAMPLES AT THE SAVANNAH RIVER SITE

    SciTech Connect

    Atkinson, R.

    2012-07-31

    Radiochemical analyses of surface water samples, in the framework of Environmental Monitoring, have associated uncertainties for the radioisotopic results reported. These uncertainty analyses pertain to the tritium results from surface water samples collected at five locations on the Savannah River near the U.S. Department of Energy's Savannah River Site (SRS). Uncertainties can result from the field-sampling routine, can be incurred during transport due to the physical properties of the sample, from equipment limitations, and from the measurement instrumentation used. The uncertainty reported by the SRS in their Annual Site Environmental Report currently considers only the counting uncertainty in the measurements, which is the standard reporting protocol for radioanalytical chemistry results. The focus of this work is to provide an overview of all uncertainty components associated with SRS tritium measurements, estimate the total uncertainty according to ISO 17025, and to propose additional experiments to verify some of the estimated uncertainties. The main uncertainty components discovered and investigated in this paper are tritium absorption or desorption in the sample container, HTO/H{sub 2}O isotopic effect during distillation, pipette volume, and tritium standard uncertainty. The goal is to quantify these uncertainties and to establish a combined uncertainty in order to increase the scientific depth of the SRS Annual Site Environmental Report.

  13. Recommendations for probabilistic seismic hazard analysis: Guidance on uncertainty and use of experts

    SciTech Connect

    Budnitz, R.J.; Apostolakis, G.; Boore, D.M.

    1997-04-01

    Probabilistic Seismic Hazard Analysis (PSHA) is a methodology that estimates the likelihood that various levels of earthquake-caused ground motion will be exceeded at a given location in a given future time period. Due to large uncertainties in all the geosciences data and in their modeling, multiple model interpretations are often possible. This leads to disagreement among experts, which in the past has led to disagreement on the selection of ground motion for design at a given site. In order to review the present state-of-the-art and improve on the overall stability of the PSHA process, the U.S. Nuclear Regulatory Commission (NRC), the U.S. Department of Energy (DOE), and the Electric Power Research Institute (EPRI) co-sponsored a project to provide methodological guidance on how to perform a PSHA. The project has been carried out by a seven-member Senior Seismic Hazard Analysis Committee (SSHAC) supported by a large number other experts. The SSHAC reviewed past studies, including the Lawrence Livermore National Laboratory and the EPRI landmark PSHA studies of the 1980`s and examined ways to improve on the present state-of-the-art. The Committee`s most important conclusion is that differences in PSHA results are due to procedural rather than technical differences. Thus, in addition to providing a detailed documentation on state-of-the-art elements of a PSHA, this report provides a series of procedural recommendations. The role of experts is analyzed in detail. Two entities are formally defined-the Technical Integrator (TI) and the Technical Facilitator Integrator (TFI)--to account for the various levels of complexity in the technical issues and different levels of efforts needed in a given study.

  14. Regulatory effectiveness study for the Armand Bayou Coastal Preserve

    SciTech Connect

    Mitchell, G.; Windsor, D.

    1991-12-01

    The report contains a description and evaluation of essential regulatory activities governing Christmas Bay and its watershed. The report will be used in management planning for the preserve, and will also contribute to the baseline regulatory data for developing the Galveston Bay Comprehensive Conservation and Management Plan. A companion report was prepared for the Armand Bayou Coastal Preserve.

  15. Regulatory effectiveness study for the Christmas Bay Coastal Preserve

    SciTech Connect

    Mitchell, G.; Windsor, D.

    1991-12-01

    The report contains a description and evaluation of essential regulatory activities governing Armand Bayou and its watershed. The report will be used in management planning for the preserve, and will also contribute to the baseline regulatory data for developing the Galveston Bay Comprehensive Conservation and Management Plan. A companion report was prepared for the Christmas Bay Coastal Preserve.

  16. Regulatory Burden RFI from Bodine Electric Company | Department of Energy

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

    Bodine Electric Company Regulatory Burden RFI from Bodine Electric Company The following is a response from Bodine Electric Company on unnecessarily burdensome regulations involving Energy Conservation Standards for Small Electric Vehicles. Bodine Electric Company Comment.PDF (33.6 KB) More Documents & Publications Consumer Electronics Association Comments Consumer Electronics Association Comment Regulatory Burden RFI from AHRI

  17. MONTE-CARLO BURNUP CALCULATION UNCERTAINTY QUANTIFICATION AND PROPAGATION DETERMINATION

    SciTech Connect

    Nichols, T.; Sternat, M.; Charlton, W.

    2011-05-08

    MONTEBURNS is a Monte-Carlo depletion routine utilizing MCNP and ORIGEN 2.2. Uncertainties exist in the MCNP transport calculation, but this information is not passed to the depletion calculation in ORIGEN or saved. To quantify this transport uncertainty and determine how it propagates between burnup steps, a statistical analysis of a multiple repeated depletion runs is performed. The reactor model chosen is the Oak Ridge Research Reactor (ORR) in a single assembly, infinite lattice configuration. This model was burned for a 25.5 day cycle broken down into three steps. The output isotopics as well as effective multiplication factor (k-effective) were tabulated and histograms were created at each burnup step using the Scott Method to determine the bin width. It was expected that the gram quantities and k-effective histograms would produce normally distributed results since they were produced from a Monte-Carlo routine, but some of results do not. The standard deviation at each burnup step was consistent between fission product isotopes as expected, while the uranium isotopes created some unique results. The variation in the quantity of uranium was small enough that, from the reaction rate MCNP tally, round off error occurred producing a set of repeated results with slight variation. Statistical analyses were performed using the {chi}{sup 2} test against a normal distribution for several isotopes and the k-effective results. While the isotopes failed to reject the null hypothesis of being normally distributed, the {chi}{sup 2} statistic grew through the steps in the k-effective test. The null hypothesis was rejected in the later steps. These results suggest, for a high accuracy solution, MCNP cell material quantities less than 100 grams and greater kcode parameters are needed to minimize uncertainty propagation and minimize round off effects.

  18. Thermal hydraulic limits analysis using statistical propagation of parametric uncertainties

    SciTech Connect

    Chiang, K. Y.; Hu, L. W.; Forget, B.

    2012-07-01

    The MIT Research Reactor (MITR) is evaluating the conversion from highly enriched uranium (HEU) to low enrichment uranium (LEU) fuel. In addition to the fuel element re-design, a reactor power upgraded from 6 MW to 7 MW is proposed in order to maintain the same reactor performance of the HEU core. Previous approach in analyzing the impact of engineering uncertainties on thermal hydraulic limits via the use of engineering hot channel factors (EHCFs) was unable to explicitly quantify the uncertainty and confidence level in reactor parameters. The objective of this study is to develop a methodology for MITR thermal hydraulic limits analysis by statistically combining engineering uncertainties with an aim to eliminate unnecessary conservatism inherent in traditional analyses. This method was employed to analyze the Limiting Safety System Settings (LSSS) for the MITR, which is the avoidance of the onset of nucleate boiling (ONB). Key parameters, such as coolant channel tolerances and heat transfer coefficients, were considered as normal distributions using Oracle Crystal Ball to calculate ONB. The LSSS power is determined with 99.7% confidence level. The LSSS power calculated using this new methodology is 9.1 MW, based on core outlet coolant temperature of 60 deg. C, and primary coolant flow rate of 1800 gpm, compared to 8.3 MW obtained from the analytical method using the EHCFs with same operating conditions. The same methodology was also used to calculate the safety limit (SL) for the MITR, conservatively determined using onset of flow instability (OFI) as the criterion, to verify that adequate safety margin exists between LSSS and SL. The calculated SL is 10.6 MW, which is 1.5 MW higher than LSSS. (authors)

  19. Reading the Tea Leaves: How Utilities in the West Are Managing Carbon Regulatory Risk in their Resource Plans

    SciTech Connect

    Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

    2008-02-01

    The long economic lifetime and development lead-time of many electric infrastructure investments requires that utility resource planning consider potential costs and risks over a lengthy time horizon. One long-term -- and potentially far-reaching -- risk currently facing the electricity industry is the uncertain cost of future carbon dioxide (CO2) regulations. Recognizing the importance of this issue, many utilities (sometimes spurred by state regulatory requirements) are beginning to actively assess carbon regulatory risk within their resource planning processes, and to evaluate options for mitigating that risk. However, given the relatively recent emergence of this issue and the rapidly changing political landscape, methods and assumptions used to analyze carbon regulatory risk, and the impact of this analysis on the selection of a preferred resource portfolio, vary considerably across utilities. In this study, we examine the treatment of carbon regulatory risk in utility resource planning, through a comparison of the most-recent resource plans filed by fifteen investor-owned and publicly-owned utilities in the Western U.S. Together, these utilities account for approximately 60percent of retail electricity sales in the West, and cover nine of eleven Western states. This report has two related elements. First, we compare and assess utilities' approaches to addressing key analytical issues that arise when considering the risk of future carbon regulations. Second, we summarize the composition and carbon intensity of the preferred resource portfolios selected by these fifteen utilities and compare them to potential CO2 emission benchmark levels.

  20. Identifying and bounding uncertainties in nuclear reactor thermal power calculations

    SciTech Connect

    Phillips, J.; Hauser, E.; Estrada, H.

    2012-07-01

    Determination of the thermal power generated in the reactor core of a nuclear power plant is a critical element in the safe and economic operation of the plant. Direct measurement of the reactor core thermal power is made using neutron flux instrumentation; however, this instrumentation requires frequent calibration due to changes in the measured flux caused by fuel burn-up, flux pattern changes, and instrumentation drift. To calibrate the nuclear instruments, steam plant calorimetry, a process of performing a heat balance around the nuclear steam supply system, is used. There are four basic elements involved in the calculation of thermal power based on steam plant calorimetry: The mass flow of the feedwater from the power conversion system, the specific enthalpy of that feedwater, the specific enthalpy of the steam delivered to the power conversion system, and other cycle gains and losses. Of these elements, the accuracy of the feedwater mass flow and the feedwater enthalpy, as determined from its temperature and pressure, are typically the largest contributors to the calorimetric calculation uncertainty. Historically, plants have been required to include a margin of 2% in the calculation of the reactor thermal power for the licensed maximum plant output to account for instrumentation uncertainty. The margin is intended to ensure a cushion between operating power and the power for which safety analyses are performed. Use of approved chordal ultrasonic transit-time technology to make the feedwater flow and temperature measurements (in place of traditional differential-pressure- based instruments and resistance temperature detectors [RTDs]) allows for nuclear plant thermal power calculations accurate to 0.3%-0.4% of plant rated power. This improvement in measurement accuracy has allowed many plant operators in the U.S. and around the world to increase plant power output through Measurement Uncertainty Recapture (MUR) up-rates of up to 1.7% of rated power, while also