Sample records for advisor model sam

  1. System Advisor Model, SAM 2014.1.14: General Description

    SciTech Connect (OSTI)

    Blair, N.; Dobos, A. P.; Freeman, J.; Neises, T.; Wagner, M.; Ferguson, T.; Gilman, P.; Janzou, S.

    2014-02-01T23:59:59.000Z

    This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2013.9.20, released on September 9, 2013. SAM is a computer model that calculates performance and financial metrics of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, and conventional power systems. The financial model can represent financial structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). SAM's advanced simulation options facilitate parametric and sensitivity analyses, and statistical analysis capabilities are available for Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C++, C#, Java, Python, and MATLAB. NREL provides both SAM and the SDK as free downloads at http://sam.nrel.gov. Technical support and more information about the software are available on the website.

  2. Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)

    SciTech Connect (OSTI)

    Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.

    2014-05-01T23:59:59.000Z

    This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.

  3. System Advisor Model, SAM 2011.12.2: General Description

    SciTech Connect (OSTI)

    Gilman, P.; Dobos, A.

    2012-02-01T23:59:59.000Z

    This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2011.12.2, released on December 2, 2011. SAM is software that models the cost and performance of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of solar, wind, geothermal, biomass, and conventional power systems. The financial model can represent financing structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). Advanced analysis options facilitate parametric, sensitivity, and statistical analyses, and allow for interfacing SAM with Microsoft Excel or with other computer programs. SAM is available as a free download at http://sam.nrel.gov. Technical support and more information about the software are available on the website.

  4. System Advisor Model (SAM) | Open Energy Information

    Open Energy Info (EERE)

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  5. Case Studies Comparing System Advisor Model (SAM) Results to Real Performance Data: Preprint

    SciTech Connect (OSTI)

    Blair, N.; Dobos, A.; Sather, N.

    2012-06-01T23:59:59.000Z

    NREL has completed a series of detailed case studies comparing the simulations of the System Advisor Model (SAM) and measured performance data or published performance expectations. These case studies compare PV measured performance data with simulated performance data using appropriate weather data. The measured data sets were primarily taken from NREL onsite PV systems and weather monitoring stations.

  6. Parabolic Trough Reference Plant for Cost Modeling with the Solar Advisor Model (SAM)

    SciTech Connect (OSTI)

    Turchi, C.

    2010-07-01T23:59:59.000Z

    This report describes a component-based cost model developed for parabolic trough solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), assisted by WorleyParsons Group Inc., for use with NREL's Solar Advisor Model (SAM). This report includes an overview and explanation of the model, two summary contract reports from WorleyParsons, and an Excel spreadsheet for use with SAM. The cost study uses a reference plant with a 100-MWe capacity and six hours of thermal energy storage. Wet-cooling and dry-cooling configurations are considered. The spreadsheet includes capital and operating cost by component to allow users to estimate the impact of changes in component costs.

  7. Molten Salt Power Tower Cost Model for the System Advisor Model (SAM)

    SciTech Connect (OSTI)

    Turchi, C. S.; Heath, G. A.

    2013-02-01T23:59:59.000Z

    This report describes a component-based cost model developed for molten-salt power tower solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), using data from several prior studies, including a contracted analysis from WorleyParsons Group, which is included herein as an Appendix. The WorleyParsons' analysis also estimated material composition and mass for the plant to facilitate a life cycle analysis of the molten salt power tower technology. Details of the life cycle assessment have been published elsewhere. The cost model provides a reference plant that interfaces with NREL's System Advisor Model or SAM. The reference plant assumes a nominal 100-MWe (net) power tower running with a nitrate salt heat transfer fluid (HTF). Thermal energy storage is provided by direct storage of the HTF in a two-tank system. The design assumes dry-cooling. The model includes a spreadsheet that interfaces with SAM via the Excel Exchange option in SAM. The spreadsheet allows users to estimate the costs of different-size plants and to take into account changes in commodity prices. This report and the accompanying Excel spreadsheet can be downloaded at https://sam.nrel.gov/cost.

  8. NREL's System Advisor Model Simplifies Complex Energy Analysis...

    Office of Scientific and Technical Information (OSTI)

    NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Re-direct Destination: NREL has developed a tool -- the System Advisor Model (SAM) -- that can help...

  9. System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report

    SciTech Connect (OSTI)

    Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.

    2013-12-01T23:59:59.000Z

    The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.

  10. NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01T23:59:59.000Z

    NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.

  11. Generic CSP Performance Model for NREL's System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2011-08-01T23:59:59.000Z

    The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.

  12. Comparison of Photovoltaic Models in the System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Blair, N. J.; Dobos, A. P.; Gilman, P.

    2013-08-01T23:59:59.000Z

    The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.

  13. Technical Manual for the SAM Physical Trough Model

    SciTech Connect (OSTI)

    Wagner, M. J.; Gilman, P.

    2011-06-01T23:59:59.000Z

    NREL, in conjunction with Sandia National Lab and the U.S Department of Energy, developed the System Advisor Model (SAM) analysis tool for renewable energy system performance and economic analysis. This paper documents the technical background and engineering formulation for one of SAM's two parabolic trough system models in SAM. The Physical Trough model calculates performance relationships based on physical first principles where possible, allowing the modeler to predict electricity production for a wider range of component geometries than is possible in the Empirical Trough model. This document describes the major parabolic trough plant subsystems in detail including the solar field, power block, thermal storage, piping, auxiliary heating, and control systems. This model makes use of both existing subsystem performance modeling approaches, and new approaches developed specifically for SAM.

  14. Solar Advisor Model User Guide for Version 2.0

    SciTech Connect (OSTI)

    Gilman, P.; Blair, N.; Mehos, M.; Christensen, C.; Janzou, S.; Cameron, C.

    2008-08-01T23:59:59.000Z

    The Solar Advisor Model (SAM) provides a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, from photovoltaic systems for residential and commercial markets to concentrating solar power and large photovoltaic systems for utility markets. This manual describes Version 2.0 of the software, which can model photovoltaic and concentrating solar power technologies for electric applications for several markets. The current version of the Solar Advisor Model does not model solar heating and lighting technologies.

  15. Technical Manual for the SAM Biomass Power Generation Model

    SciTech Connect (OSTI)

    Jorgenson, J.; Gilman, P.; Dobos, A.

    2011-09-01T23:59:59.000Z

    This technical manual provides context for the implementation of the biomass electric power generation performance model in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). Additionally, the report details the engineering and scientific principles behind the underlying calculations in the model. The framework established in this manual is designed to give users a complete understanding of behind-the-scenes calculations and the results generated.

  16. Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Blair, N.; Dobos, A.

    2010-10-01T23:59:59.000Z

    Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.

  17. System Advisor Model (SAM) | Open Energy Information

    Open Energy Info (EERE)

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  18. System Advisor Model (SAM) | Open Energy Information

    Open Energy Info (EERE)

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  19. System Advisor Model (SAM) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with formSoutheastern ILSunseeker EnergySuzhouSynergy Biofuels LLC

  20. Sensitivity of Concentrating Solar Power Trough Performance, Cost and Financing with Solar Advisor Model

    SciTech Connect (OSTI)

    Blair, N.; Mehos, M.; Christensen, C.

    2008-03-01T23:59:59.000Z

    A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM) was developed to support the federal R&D community and the solar industry. This model, developed by staff at NREL and Sandia National Laboratory, is able to model the costs, finances, and performance of concentrating solar power and photovoltaics (PV). Currently, parabolic troughs and concentrating PV are the two concentrating technologies modeled within the SAM environment.

  1. Reference Manual for the System Advisor Model's Wind Power Performance Model

    SciTech Connect (OSTI)

    Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

    2014-08-01T23:59:59.000Z

    This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

  2. Incorporation of NREL Solar Advisor Model Photovoltaic Capabilities with GridLAB-D

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Hammerstrom, Janelle L.; Singh, Ruchi

    2012-10-19T23:59:59.000Z

    This report provides a summary of the work updating the photovoltaic model inside GridLAB-D. The National Renewable Energy Laboratory Solar Advisor Model (SAM) was utilized as a basis for algorithms and validation of the new implementation. Subsequent testing revealed that the two implementations are nearly identical in both solar impacts and power output levels. This synergized model aides the system-level impact studies of GridLAB-D, but also allows more specific details of a particular site to be explored via the SAM software.

  3. SAM Photovoltaic Model Technical Reference

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15Rotary FiringRobertSAC HomePastSAM

  4. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01T23:59:59.000Z

    Presents an electric utility grid-connected energy management strategy for a parallel hybrid electric vehicle using ADVISOR, a modeling tool.

  5. Direct-Steam Linear Fresnel Performance Model for NREL's System Advisor Model

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2012-09-01T23:59:59.000Z

    This paper presents the technical formulation and demonstrated model performance results of a new direct-steam-generation (DSG) model in NREL's System Advisor Model (SAM). The model predicts the annual electricity production of a wide range of system configurations within the DSG Linear Fresnel technology by modeling hourly performance of the plant in detail. The quasi-steady-state formulation allows users to investigate energy and mass flows, operating temperatures, and pressure drops for geometries and solar field configurations of interest. The model includes tools for heat loss calculation using either empirical polynomial heat loss curves as a function of steam temperature, ambient temperature, and wind velocity, or a detailed evacuated tube receiver heat loss model. Thermal losses are evaluated using a computationally efficient nodal approach, where the solar field and headers are discretized into multiple nodes where heat losses, thermal inertia, steam conditions (including pressure, temperature, enthalpy, etc.) are individually evaluated during each time step of the simulation. This paper discusses the mathematical formulation for the solar field model and describes how the solar field is integrated with the other subsystem models, including the power cycle and optional auxiliary fossil system. Model results are also presented to demonstrate plant behavior in the various operating modes.

  6. P50/P90 Analysis for Solar Energy Systems Using the System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Dobos, A. P.; Gilman, P.; Kasberg, M.

    2012-06-01T23:59:59.000Z

    To secure competitive financing for a solar energy generation project, the economic risk associated with interannual solar resource variability must be quantified. One way to quantify this risk is to calculate exceedance probabilities representing the amount of energy expected to be produced by a plant. Many years of solar radiation and metereological data are required to determine these values, often called P50 or P90 values for the level of certainty they represent. This paper describes the two methods implemented in the National Renewable Energy Laboratory's System Advisor Model (SAM) to calculate P50 and P90 exceedance probabilities for solar energy projects. The methodology and supporting data sets are applicable to photovoltaic, solar water heating, and concentrating solar power (CSP) systems.

  7. Modeling Photovoltaic and Concentrating Solar Power Trough Performance, Cost, and Financing with the Solar Advisor Model: Preprint

    SciTech Connect (OSTI)

    Blair, N.; Mehos, M.; Christensen, C.; Cameron, C.

    2008-05-01T23:59:59.000Z

    A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM), has been developed to support the federal R&D community and the solar industry by staff at the National Renewable Energy Laboratory (NREL) and Sandia National Laboratory. This model is able to model the finances, incentives, and performance of flat-plate photovoltaic (PV), concentrating PV, and concentrating solar power (specifically, parabolic troughs). The primary function of the model is to allow users to investigate the impact of variations in performance, cost, and financial parameters to better understand their impact on key figures of merit. Figures of merit related to the cost and performance of these systems include, but aren't limited to, system output, system efficiencies, levelized cost of energy, return on investment, and system capital and O&M costs. There are several models within SAM to model the performance of photovoltaic modules and inverters. This paper presents an overview of each PV and inverter model, introduces a new generic model, and briefly discusses the concentrating solar power (CSP) parabolic trough model. A comparison of results using the different PV and inverter models is also presented.

  8. Uncle Sam Turns to SAM for Solar Modeling | Department of Energy

    Energy Savers [EERE]

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  9. Solar Advisor Model; Session: Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Blair, N.

    2008-04-01T23:59:59.000Z

    This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.

  10. A Behavioral SPICE Compatible Model of an Electrodeless Fluorescent Lamp Sam Ben-Yaakov*1

    E-Print Network [OSTI]

    to the plasma. In the case of the lamp with electrodes, coupling is via wires. In the case of the electrodelessA Behavioral SPICE Compatible Model of an Electrodeless Fluorescent Lamp Sam Ben-Yaakov*1 , Moshe, SPICE compatible, model was developed for an electrodeless fluorescent lamp (OSRAM SYLVANIA ICETRON

  11. Modeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov

    E-Print Network [OSTI]

    the characteristics of hybrid converters. Renewable energy sources such as a single PV panel have, in general, a lowModeling and Analysis of Hybrid Converters Michael Evzelman Shmuel (Sam) Ben-Yaakov Power.ee.bgu.ac.il/~pel/ Abstract--A generic behavioral average-circuit model that analyzes hybrid converters that include

  12. Results and Comparison from the SAM Linear Fresnel Technology Performance Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.

    2012-04-01T23:59:59.000Z

    This paper presents the new Linear Fresnel technology performance model in NREL's System Advisor Model. The model predicts the financial and technical performance of direct-steam-generation Linear Fresnel power plants, and can be used to analyze a range of system configurations. This paper presents a brief discussion of the model formulation and motivation, and provides extensive discussion of the model performance and financial results. The Linear Fresnel technology is also compared to other concentrating solar power technologies in both qualitative and quantitative measures. The Linear Fresnel model - developed in conjunction with the Electric Power Research Institute - provides users with the ability to model a variety of solar field layouts, fossil backup configurations, thermal receiver designs, and steam generation conditions. This flexibility aims to encompass current market solutions for the DSG Linear Fresnel technology, which is seeing increasing exposure in fossil plant augmentation and stand-alone power generation applications.

  13. Peer review presentation on systems performance modeling and solar advisor support.

    SciTech Connect (OSTI)

    Cameron, Christopher P.

    2010-05-01T23:59:59.000Z

    Accurate Performance Models are Critical to Project Development and Technology Evaluation - Accuracy and Uncertainty of Commonly-Used Models Unknown and Models Disagree. A Model Evaluation Process Has Been Developed with Industry, and High-Quality Weather and System Performance Data Sets Have Been Collected: (1) Evaluation is Underway using Residual Analysis of Hourly and Sub-Hourly Data for Clear and Diffuse Climates to Evaluate and Improve Models; and (2) Initial Results Have Been or Will Soon Be Presented at Key Conferences. Evaluation of Widely-Used Module, Inverter, and Irradiance Models, Including Those in SAM, PVWatts, and PVSyst, Will Be Completed This Year. Stochastic Modeling Has Been Performed to Support Reliability Task and Will Add Value to Parametric Analysis. An Industry Workshop will be Held This Fall To Review Results, Set Priorities. Support and Analysis has been Provided for TPP's, SETP, and PV Community. Goals for Future Work Include: (1) Improving Understanding of and Validating System Derate Factors; and (2) Developing a Dynamic Electrical Model of Arrays with Shaded or Mismatched Modules to Support Transient Analysis of Large Fields.

  14. SAM Technical Review Committee Final Report: Summary and Key Recommendations from the Onsite TRC Meeting Held April 22-23, 2013

    SciTech Connect (OSTI)

    Blair, N.; Dobos, S.; Janzou, S.; Gilman, P.; Freeman, J.; Kaffine, L.

    2013-08-01T23:59:59.000Z

    The System Advisor Model (SAM) is a broad and robust set of models and frameworks for analyzing both system performance and system financing. It does this across a range of technologies dominated by solar technologies including photovoltaics (PV) and concentrated solar power (CSP). The U.S. Department of Energy (DOE) Solar Energy Technology Program requested the SAM development team to review the photovoltaic performance modeling with the development community and specifically, with the independent engineering community. The report summarizes the major effort for this technical review committee (TRC).

  15. GoSam-2.0: a tool for automated one-loop calculations within the Standard Model and beyond

    E-Print Network [OSTI]

    G. Cullen; H. van Deurzen; N. Greiner; G. Heinrich; G. Luisoni; P. Mastrolia; E. Mirabella; G. Ossola; T. Peraro; J. Schlenk; J. F. von Soden-Fraunhofen; F. Tramontano

    2014-04-28T23:59:59.000Z

    We present the version 2.0 of the program package GoSam for the automated calculation of one-loop amplitudes. GoSam is devised to compute one-loop QCD and/or electroweak corrections to multi-particle processes within and beyond the Standard Model. The new code contains improvements in the generation and in the reduction of the amplitudes, performs better in computing time and numerical accuracy, and has an extended range of applicability. The extended version of the "Binoth-Les-Houches-Accord" interface to Monte Carlo programs is also implemented. We give a detailed description of installation and usage of the code, and illustrate the new features in dedicated examples.

  16. Past Science Advisors Early Science Advisors

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    of spentStorage of spent nuclearnuclear fuel and high level radioactive wastefuel and high level Institution Nuclear Regulatory Commission Other agencies Commerce Science Advisor Other boards, councils, etc and Technology Policy Office of Management and Budget Agriculture Health and Human Services Interior

  17. Test Results and Modeling of the Honda Insight Using ADVISOR: Preprint

    SciTech Connect (OSTI)

    Kelly, K. J.; Zolot, M. (National Renewable Energy Laboratory); Glinsky, G.; Hieronymus, A. (Environmental Testing Corporation)

    2001-08-01T23:59:59.000Z

    Paper describing a series of chassis dynamometer and road tests that NREL conducted on the 2000 model-year Honda Insight.

  18. Generic and Unified Model of Switched Capacitor Converters Sam Ben-Yaakov

    E-Print Network [OSTI]

    @ee.bgu.ac.il Website: www.ee.bgu.ac.il/~pel/ Abstract -- A generic modeling methodology that analyzes the losses analytical approach is unified, covering both hard and soft switched SCC topologies. The major advantage in the optimization of SCC systems and their control to achieve desired regulations. I. INTRODUCTION Switched

  19. Safety review advisor

    SciTech Connect (OSTI)

    Boshers, J.A.; Alguindigue, I.E.; Uhrig, R.E. (Tennessee Univ., Knoxville, TN (USA). Dept. of Nuclear Engineering); Burnett, C.G. (Tennessee Valley Authority, Knoxville, TN (USA))

    1989-01-01T23:59:59.000Z

    The University of Tennessee's Nuclear Engineering Department, in cooperation with the Tennessee Valley Authority (TVA), is evaluating the feasibility of utilizing an expert system to aid in 10CFR50.59 evaluations. This paper discusses the history of 10CFR50.59 reviews, and details the development approach used in the construction of a prototype Safety Review Advisor (SRA). The goals for this expert system prototype are to (1) aid the engineer in the evaluation process by directing his attention to the appropriate critical issues, (2) increase the efficiency, consistency, and thoroughness of the evaluation process, and (3) provide a foundation of appropriate Safety Analysis Report (SAR) references for the reviewer. 6 refs., 2 figs.

  20. Organizational Advisor Agreement I, __________________ as the faculty advisor for the organization, ____________________, understand

    E-Print Network [OSTI]

    Gering, Jon C.

    Organizational Advisor Agreement I, __________________ as the faculty advisor for the organization procedures. My expectations are established by my group's constitution or by-laws. The organizational (Print) Student Organization Advisor Signature Date Organizational Representative (Print) Organizational

  1. Keith Benson/Sam Goody Entertainment Internship

    E-Print Network [OSTI]

    Engelhardt, John F.

    Keith Benson/Sam Goody Entertainment Internship Scholarship Summer 2012 Keith Benson, founder of Musicland/Sam Goody has established the: Keith Benson/Sam Goody Internship Support Fund which provides financial assistance to students who intern in the entertainment industry. Two internship scholarships

  2. Sam Swift is responsible for

    E-Print Network [OSTI]

    Trinkle-Mulcahy, Laura

    Sam Swift is responsible for managing the Light Micro- scopy Facility in the University of Dundee dimen- sional images (in x and y), or optical sections, are acquired at regular focus intervals dimensional object (see Figure 1). ArticleArticle Figure 1. Imaging in 3 dimensions ­ a stack of images

  3. Automation of One-Loop Calculations with GoSam: Present Status and Future Outlook

    E-Print Network [OSTI]

    Gavin Cullen; Nicolas Greiner; Gudrun Heinrich; Gionata Luisoni; Pierpaolo Mastrolia; Giovanni Ossola; Thomas Reiter; Francesco Tramontano

    2011-11-14T23:59:59.000Z

    In this presentation, we describe the GoSam (Golem/Samurai) framework for the automated computation of multi-particle scattering amplitudes at the one-loop level. The amplitudes are generated analytically in terms of Feynman diagrams, and can be evaluated using either D-dimensional integrand reduction or tensor decomposition. GoSam can be used to compute one-loop corrections to Standard Model (QCD and EW) processes, and it is ready to link generic model files for theories Beyond SM. We show the main features of GoSam through its application to several examples of different complexity.

  4. Selecting and Training U.S. Advisors: Interpersonal Skills and the Advisor-Counterpart Relationship

    E-Print Network [OSTI]

    Phelps, Christopher Ely

    2009-04-24T23:59:59.000Z

    countries." The role of the U.S. advisor is critical to empower our partners, and U.S. advisors being drawn from the conventional force is an enduring mission. Typically, U.S. advisors were drawn from the Special Forces community; however, the demand...

  5. Sam Rashkin | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcome ton6 th US/German Workshop on SaltonSam

  6. Sam Noble Museum FACILITY RENTAL POLICY

    E-Print Network [OSTI]

    Oklahoma, University of

    Sam Noble Museum FACILITY RENTAL POLICY 3 November 2011 I. Background and General Under the guidance of the Head of Administration and Financial Operations of the Sam Noble Oklahoma Museum of Natural History (Museum), the Facility Rentals and Events office is responsible for arranging all space rentals

  7. Focus Series: Denver Energy Advisor Program Helps Homeowners...

    Energy Savers [EERE]

    We put out an RFP (request for proposals) for organizations that employ residential energy advisors, and we hired our own commercial energy advisors. What outreach strategies...

  8. Nutrient Management in TexasNutrient Management in Texas Sam FeagleySam Feagley

    E-Print Network [OSTI]

    Management Plan ·· TCEQ Nutrient Utilization PlanTCEQ Nutrient Utilization Plan ·· TSSWCB Water Quality Management PlanTSSWCB Water Quality Management Plan ·· USDA/NRCS Comprehensive NutrientNutrient Management in TexasNutrient Management in Texas Sam FeagleySam Feagley Texas Cooperative

  9. Advisor 2.0: A Second-Generation Advanced Vehicle Simulator for Systems Analysis

    SciTech Connect (OSTI)

    Wipke, K.; Cuddy, M.; Bharathan, D.; Burch, S.; Johnson, V.; Markel, A.; Sprik, S.

    1999-03-23T23:59:59.000Z

    The National Renewable Energy Laboratory has recently publicly released its second-generation advanced vehicle simulator called ADVISOR 2.0. This software program was initially developed four years ago, and after several years of in-house usage and evolution, the tool is now available to the public through a new vehicle systems analysis World Wide Web page. ADVISOR has been applied to many different systems analysis problems, such as helping to develop the SAE J1711 test procedure for hybrid vehicles and helping to evaluate new technologies as part of the Partnership for a New Generation of Vehicles (PNGV) technology selection process. The model has been and will continue to be benchmarked and validated with other models and with real vehicle test data. After two months of being available on the Web, more than 100 users have downloaded ADVISOR. ADVISOR 2.0 has many new features, including an easy-to-use graphical user interface, a detailed exhaust aftertreatment thermal model, and complete browser-based documentation. Future work will include adding to the library of components available in ADVISOR, including optimization functionality, and linking with a more detailed fuel cell model.

  10. CSE: Financial Engineering Track Robbin Tops, SAM

    E-Print Network [OSTI]

    Lang, Annika

    CSE: Financial Engineering Track Robbin Tops, SAM robbin.tops@sam.math.ethz.ch CSE: Financial Stochastic Processes: (Brownian Motion, L´evy processes) 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 -2.5 -2 -1-)Differential Equations: (Heat Equation) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Stochastic

  11. U-153: EMC Data Protection Advisor Server and Collector Bugs...

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

    53: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service U-153: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service...

  12. GLAO IN THE VISIBLE: THE SAM EXPERIENCE Andrei Tokovinina

    E-Print Network [OSTI]

    Tokovinin, Andrei A.

    -common-path errors were avoided. SAM can feed corrected images to its internal CCD detector, SAMI (4K×4K CCDGLAO IN THE VISIBLE: THE SAM EXPERIENCE Andrei Tokovinina Cerro Tololo Interamerican Observatory, Casilla 603, La Serena, Chile Abstract. The SOAR adaptive module (SAM) is going through science

  13. Sam Madden Basically Everyone Except My Bank

    E-Print Network [OSTI]

    O'Brien, James F.

    Sam Madden Physicists Biologists Basically Everyone Except My Bank #12;· Benefit(DBMS) DBMS? · DBMS setup & boundary crossings painful ­ Especially if you have to do it multiple times! MATLAB a fleet of 40 cabs on Boston streets · Pipeline ­ Raw data in DBMS ­ Trajectories with Matlab ­ Queries

  14. DOE International Energy Advisors | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE Contract DOE International Energy Advisors DOE

  15. CSC310 Information Theory Sam Roweis Proving the Kraft-McMillan Inequalities

    E-Print Network [OSTI]

    Roweis, Sam

    CSC310 ­ Information Theory Sam Roweis Lecture 3: Proving the Kraft-McMillan Inequalities September) Modeling. We have to represent the stochastic behaviour of the source and the channel using probabilistic. Review: Mathematical Setup 3 · A stochastic source emits a sequence of symbols (from alphabet A) X = X1

  16. Systems Advisor Model | Department of Energy

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

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

  17. Senior Advisor David Huizenga's Written Statement Before the...

    Office of Environmental Management (EM)

    David Huizenga's Written Statement Before the Subcommittee on Energy and Water Development Committee on Appropriations (March 19, 2013) Senior Advisor David Huizenga's Written...

  18. What I Heard About Energy Policy through Advise the Advisor

    Broader source: Energy.gov [DOE]

    Secretary Chu relays some of the most popular sentiments that Americans conveyed to him during the White House's "Advise the Advisor" program on energy policy.

  19. Longboard Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners andLodgepole, Nebraska:Longboard Capital Advisors Jump to:

  20. Ecoforge Advisors Pvt Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrictInformationEauEcoMotorsEcoforge Advisors

  1. MCF Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPower CoLongxing Wind PowerMCF Advisors LLC Jump

  2. Greenspire Advisors Limited | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG ContractingGreenOrder JumpIowa:Greenport, New York:Greenspire Advisors

  3. North Cove Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: Energy Resources JumpOklahoma:NorthCastle, New York:CityNorthAdvisors

  4. NEF Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy Resources JumpNEF Advisors LLC Jump to: navigation,

  5. the sam noble oklahoma museum of natural history

    E-Print Network [OSTI]

    Oklahoma, University of

    the sam noble oklahoma museum of natural history annual report july 2006­june 2007 #12;board and steve Wright mission statement, adopted december 2003 the sam noble oklahoma museum of natural history at the university of oklahoma inspires minds to understand the natural and cultural world through collection

  6. Student Housing Advisor/Marketing Assistant Job Description

    E-Print Network [OSTI]

    Loudon, Catherine

    Student Housing Advisor/Marketing Assistant Job Description 2014-2015 DEPARTMENT: Student Housing UNIT: Housing Administrative Services (Student Center 4th Floor) JOB TITLE: Student Housing Advisor for the Housing Website; designing graphics for online promotion of Housing processes; providing feedback

  7. Systems Long Term Exposure Program: Analysis of the First Year...

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

    Model (SAPM) 7 or the System Advisor Model (SAM) 8 were generated for use in future system analysis. A. System Descriptions The three technologies under investigation...

  8. Comparing Surfaces and Engineered Interfaces using Self-Assembled Monolayers (SAMs) and Injected SAMs Silanes

    SciTech Connect (OSTI)

    Morris, Mark J.; Simmons, Kevin L.

    2003-11-01T23:59:59.000Z

    The objective of this study was to show a comparison between property changes by formation of a self-assembled monolayer on the surface of PPG synthetic precipitated silica, which is a technique developed at PNNL, and by adding the SAMs silane chemical directly into the mixing bowl. These coatings have the potential to greatly increase the bond strength and enhance other properties between the particle and the rubber matrix of a rubber compound. Tensile testing measured peak stress and elongation at break. The increase in tensile strength shows how well the polymer-filler interfacial adhesion is doing. The study used five different SAM systems with a sulfur cured styrene butadiene rubber (SBR) tire rubber formulation. The three propylsilanes were propyl triethoxysilane, allyl triethoxysilane and 3-mercaptopropyl triethoxysilane. Five combinations of silanes were used in this study. The application of the silanes were 100% propyl triethoxy silane (100% Alkyl); a 10/90 mixture of allyl and propyl triethoxy silanes (10% vinyl/90% alkyl); a 50/50 mixture of the allyl and propyl (50% vinyl/50% alkyl); a 10/90mixture of 3-mercaptopropyl trimethoxysilane and propyl trimethoxysilane (10% mercaptan/90% alkyl) and lastly a 50/50 3-mercaptopropyl and propylsilanes (50% mercaptan/alkyl). The data not only shows improvement with SAMs, the peak stress data (ultimate strength) shows that the by changing the amount of silane content can change the physical properties

  9. Beta test results for the CAA mini-SAM system

    SciTech Connect (OSTI)

    Johnson, R.C.; Monagle, M.

    1997-04-01T23:59:59.000Z

    The mission of the Chemical Analysis Automation (CAA) Program is to automate methods for chemical analysis of environmental samples. To accomplish this mission, the CAA team has developed automated laboratory systems based on a plug-and-work strategy for integrating components. Realizing that standardization is the key to implementing this strategy, CAA has developed, demonstrated, and encouraged commercialization of standards for laboratory automation. While the CAA mission is driven by the analyses in support of the extensive remediation programs of the Departments of Energy and Defense, it also impacts any industry that depends upon high volumes of repetitive chemical analysis. A Standard Analysis Method (SAM) is any collection of hardware and software used to automate part or all of a method. The method automated for the Mini-SAM testing is EPA Method 3550, which outlines semivolatiles extraction by sonication. The list of semivolatiles includes the polychlorinated biphenyl (PCB) analytes of interest. The basic building block of a SAM is the Standard Laboratory Module (SLM). For the Mini-SAM test an automated sonication SLM and an automated concentration SLM were configured to perform the extraction and concentration processes. The Mini-SAM differs from the Full-SAM in that a fully automated delivery of materials, samples, and extracts is not required. The intent of the Beta Test of the Mini-SAM was threefold. Firstly, the Mini-SAM Beta Test met a milestone mandated by the Department of Energy in the course of the program effort. Secondly, the CAA Program secured an independent assessment of the equipment and its capabilities from Assagai Analytical Laboratory. Lastly, the Program captured real-world sample data. The independent assessment, coupled with CAA observation of equipment performance, was used to determine strengths and weaknesses of the Mini-SAM and to compile possible modifications for CAA engineers to address.

  10. Crystal structures of the SAM-III/S[subscript MK] riboswitch reveal the SAM-dependent translation inhibition mechanism

    SciTech Connect (OSTI)

    Lu, C.; Smith, A.M.; Fuchs, R.T.; Ding, F.; Rajashankar, K.; Henkin, T.M.; Ke, A. (Cornell); (OSU)

    2010-01-07T23:59:59.000Z

    Three distinct classes of S-adenosyl-L-methionine (SAM)-responsive riboswitches have been identified that regulate bacterial gene expression at the levels of transcription attenuation or translation inhibition. The SMK box (SAM-III) translational riboswitch has been identified in the SAM synthetase gene in members of the Lactobacillales. Here we report the 2.2-{angstrom} crystal structure of the Enterococcus faecalis SMK box riboswitch. The Y-shaped riboswitch organizes its conserved nucleotides around a three-way junction for SAM recognition. The Shine-Dalgarno sequence, which is sequestered by base-pairing with the anti-Shine-Dalgarno sequence in response to SAM binding, also directly participates in SAM recognition. The riboswitch makes extensive interactions with the adenosine and sulfonium moieties of SAM but does not appear to recognize the tail of the methionine moiety. We captured a structural snapshot of the SMK box riboswitch sampling the near-cognate ligand S-adenosyl-L-homocysteine (SAH) in which SAH was found to adopt an alternative conformation and fails to make several key interactions.

  11. Jo Ann Baumgartner and Sam Earnshaw: Organizers and Farmers

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    Daniel Imhoff and Jo Ann Baumgartner eds. , Farming and thein organic farming. And then Jo Ann started working on theThat’s how I got into it. Jo Ann Baumgartner & Sam Earnshaw

  12. Sam, Booth, Targeting Net Zero DoD Project Review

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

    TargeOng Net Zero DoD Project Review FUPWG Sam Booth NaOonal Renewable Energy Laboratory January 15 th , 2014 NREL is a naLonal laboratory of the U.S. Department of Energy, Office...

  13. Student Preferences for Academic Advisors as Transformational Leaders

    E-Print Network [OSTI]

    Drozd, Deborah Suzanne

    2011-02-22T23:59:59.000Z

    A quantitative study was conducted to determine the preferences of undergraduate students for academic advisors as transformational leaders. A questionnaire was developed and distributed to undergraduate students enrolled in leadership classes at a...

  14. Neal Lane: Confessions of a President's Science Advisor

    ScienceCinema (OSTI)

    Neal Lane

    2010-09-01T23:59:59.000Z

    Former science advisor to president Bill Clinton Neal Lane briefly reviews the history of the job of Science Advisor to the President and give some examples of issues he had to deal with when he was in that position, including climate change, stem cell research, the human genome, nanotechnology and research funding. He will also give his opinions about the present and future state of science in the U.S.

  15. Rfam: annotating non-coding RNAs in complete genomes Sam Griffiths-Jones*, Simon Moxon, Mhairi Marshall, Ajay Khanna1

    E-Print Network [OSTI]

    Eddy, Sean

    Rfam: annotating non-coding RNAs in complete genomes Sam Griffiths-Jones*, Simon Moxon, Mhairi-coding RNA families, represented by multiple sequence alignments and profile stochastic context free grammars profile stochastic context free grammars (SCFGs), analogous to profile hidden Markov models (HMMs

  16. Rfam: annotating non-coding RNAs in complete Sam Griffiths-Jones*, Simon Moxon, Mhairi Marshall, Ajay Khanna1

    E-Print Network [OSTI]

    Eddy, Sean

    Rfam: annotating non-coding RNAs in complete genomes Sam Griffiths-Jones*, Simon Moxon, MhairiRNA) families, represented by multiple sequence alignments and profile stochastic context- free grammars. Rfam profile stochastic context-free grammars (SCFGs), analogous to profile hidden Markov models (HMMs

  17. 1D lanthanide halide crystals inserted into single-walled carbon nanotubes Cigang Xu,a Jeremy Sloan,ab Gareth Brown,ab Sam Bailey,a V. Clifford Williams,a Steffi Friedrichs,a Karl S.

    E-Print Network [OSTI]

    Dunin-Borkowski, Rafal E.

    ,ab Gareth Brown,ab Sam Bailey,a V. Clifford Williams,a Steffi Friedrichs,a Karl S. Coleman,a Emmanuel). Images were acquired digitally on a Gatan model 794 (1 k 3

  18. NCCR Trade Regulation Brown Bag Series Dr Franziska Humbert, Policy Advisor Corporate Social Responsibility, Oxfam Germany

    E-Print Network [OSTI]

    Richner, Heinz

    Social Responsibility, Oxfam Germany International Constitutionalism and Child Labour Wednesday, 23, Policy Advisor Corporate Social Responsibility, Oxfam Germany. Abstract The postdoctoral thesis builds of the Speaker Franziska Humbert is a policy advisor on corporate social responsibility at Oxfam Germany

  19. SAM sees the light Andrei Tokovinin, Roberto Tighe, Patricio Schurter, Rolando Cantarutti, Nicole van der Bliek,

    E-Print Network [OSTI]

    Tokovinin, Andrei A.

    on the SOAR Adaptive Module, SAM, including some results of tests of the Natural Guide Star mode: image of SAM has been described in Refs. 7,10. A pair of off-axis parabolic mirrors re-images the focal planeSAM sees the light Andrei Tokovinin, Roberto Tighe, Patricio Schurter, Rolando Cantarutti, Nicole

  20. U-153: EMC Data Protection Advisor Server and Collector Bugs Let Remote Users Deny Service

    Broader source: Energy.gov [DOE]

    Two vulnerabilities were reported in EMC Data Protection Advisor. A remote user can cause denial of service conditions.

  1. Post-Training Support for Learning Technology Sam Snoddy, Jr.

    E-Print Network [OSTI]

    Novick, David G.

    Post-Training Support for Learning Technology Sam Snoddy, Jr. Cloudcroft Schools P.O. Box 198 the effects of post-training support, we studied the introduction of new gradebook software in a public high school. The school's 108 faculty members received training on the software, and approximately half

  2. CSC412: Uncertainty & Learning in AI . Instructor: Sam Roweis

    E-Print Network [OSTI]

    Roweis, Sam

    1 CSC412: Uncertainty & Learning in AI . Instructor: Sam Roweis . Tutor: Y.W. Teh . Lectures: MW10 inherently stochastic behaviour in the world A B C D E . Databases -- traditional DB technology cannot answer filterting (e.g. Amazon) Other Related Applications . Stochastic Signal Processing -- denoising, source

  3. Visual Text Features for Image Matching Sam S. Tsai1

    E-Print Network [OSTI]

    Girod, Bernd

    Visual Text Features for Image Matching Sam S. Tsai1 , Huizhong Chen1 , David Chen1 , Vasu features that are based on text in cameraphone images. A robust text detection algorithm locates individual the visual text features in a way that resembles image features. We calculate their location, scale

  4. Automated one-loop calculations with GoSam 2.0

    E-Print Network [OSTI]

    H. van Deurzen; N. Greiner; G. Heinrich; G. Luisoni; P. Mastrolia; E. Mirabella; G. Ossola; T. Peraro; J. Schlenk; J. F. von Soden-Fraunhofen; F. Tramontano

    2014-07-03T23:59:59.000Z

    We present the version 2.0 of the program GoSam, which is a public program package to compute one-loop corrections to multi-particle processes. The extended version of the "Binoth-Les-Houches-Accord" interface to Monte Carlo programs is also implemented. This allows a large flexibility regarding the combination of the code with various Monte Carlo programs to produce fully differential NLO results, including the possibility of parton showering and hadronisation. We describe the new features of the code and illustrate the wide range of applicability for multi-particle processes at NLO, both within and beyond the Standard Model.

  5. THURGOOD MARSHALL COLLEGE Returning 2012-2013 Resident Advisor Application

    E-Print Network [OSTI]

    Russell, Lynn

    THURGOOD MARSHALL COLLEGE Returning 2012-2013 Resident Advisor Application The Thurgood Marshall/philosophy? How do you incorporate it into your day to day work as an RA at Marshall College? 6. Other than process and return it to the Thurgood Marshall College Office of Residential Life, in person, by 4:00 p

  6. Economics Advisor: Jill Wilson | 801-581-7481

    E-Print Network [OSTI]

    Tipple, Brett

    Economics Advisor: Jill Wilson | 801-581-7481 jill.wilson@economics.utah.edu All courses must Economics courses. ECON 3905, ECON 3640 and ECON 3620 may not be used to fulfill the elective requirement ECON 5060--History of Economic Doctrines ECON 5080--Marxian Economics (CW) ECON 5400--Middle East

  7. Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp Dept. of Electrical and Computer Engineering University of Massachusetts, Amherst Abstract Weather radar is an important part of the national infrastructure that is used in producing forecasts and issuing hazardous weather warnings. Traditional weather

  8. Office of Residential Life Summer Community Advisor Contract 2014

    E-Print Network [OSTI]

    Royer, Dana

    Office of Residential Life Summer Community Advisor Contract ­ 2014 This contract provides and the Office of Residential Life; as such they are placed in a position of institutional responsibility. All will result in further action according to the Residential Life Staff Discipline guidelines

  9. Health Advisor An Online Game for Managing Healthcare Delivery

    E-Print Network [OSTI]

    affected the overall enterprise. A broader set of ideas and initiatives are needed to affect sustainable architecture shown below2 . Facilitation, e.g., Training, Advising, Guiding User Interface, e.g., Large Screens.g., Computers, Networks Architecture of Health Advisor This architecture is intended to provide the flexibility

  10. USB Key Profile Manager for Advisor: Dr. Chris Pollett

    E-Print Network [OSTI]

    Pollett, Chris

    . · Search for profiles. · Load the profile to Mozilla's registry. · Clean up at shutdown. #12;Feature 2USB Key Profile Manager for Mozilla by Yun Zhou Advisor: Dr. Chris Pollett Committee Members: Dr. Design and Implementation · Event-driven structure · USB profile loader · User authentication · Bulk

  11. NO{sub X} advisor: Intelligent software for combustion optimization

    SciTech Connect (OSTI)

    Pfahler, J.; Eskenazi, D; Levy, E. [Lehigh Univ., Bethlehem, PA (United States)] [and others

    1996-01-01T23:59:59.000Z

    Under a Tailored Collaboration Project funded by PEPCO and EPRI, Lehigh University`s Energy Research Center has been developing software for use by plant personnel to optimize a pulverized coal-fired boiler to reduce NO{sub x} emissions and minimize heat rate. Based on expert systems, neural networks and a mathematical optimization algorithm, the NO{sub x} Advisor uses the expert system to safely guide the plant engineer through a series of parametric boiler tests, gathering a database to characterize the operation of the boiler over a wide range of conditions. The neural network develops non-linear mappings between NO{sub x} heat rate and the controllable parameters. These are then used by the mathematical optimization algorithm to identify optimal operating conditions. The Advisor can be used to adjust a boiler to reach minimum NO{sub x} or identify the conditions that give minimum heat rate subject to a target NO{sub x} value. The Advisor operates off-line on a PC platform, gathering data automatically from the plant data highway and/or manually as needed. Results of a field trial at PEPCO`s Potomac River Station are described.

  12. GoSam 2.0: a tool for automated one-loop calculations

    E-Print Network [OSTI]

    Johann Felix von Soden-Fraunhofen

    2014-09-30T23:59:59.000Z

    We present the version 2.0 of the program package GoSam, which is a public program package to compute one-loop QCD and/or electroweak corrections to multi-particle processes within and beyond the Standard Model. The extended version of the Binoth-Les-Houches-Accord interface to Monte Carlo programs is also implemented. This allows a large flexibility regarding the combination of the code with various Monte Carlo programs to produce fully differential NLO results, including the possibility of parton showering and hadronisation. We illustrate the wide range of applicability of the code by showing phenomenological results for multi-particle processes at NLO, both within and beyond the Standard Model.

  13. Sam Rayburn Municipal Pwr Agny | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:RoscommonSBYSalton Sea Geothermal Area Jump to:Sam Rayburn

  14. SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDER 2913|| Department ofSOLID4,Sam Nunn

  15. Sam Houston Electric Coop Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistma AG Jump to:Energysource HistorySam Houston Electric Coop

  16. Erratum to "Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model"

    E-Print Network [OSTI]

    Dobigeon, Nicolas

    1 Erratum to "Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model for the four images. TABLE I UNMIXING ALGORITHM PERFORMANCES WITH ACTUAL AND ESTIMATED ENDMEMBERS (1ST AND 2ND SCENARIOS): RE AND SAM. 1st scenario 2nd scenario RE (×10-2 ) SAM (×10-2 ) RE (×10-2 ) SAM (×10-2 ) LMM FM

  17. Sam Houston State University A Member of The Texas State University System

    E-Print Network [OSTI]

    Short, Jon W.

    Sam Houston State University A Member of The Texas State University System Information Resources FO-IR-02 SHSU Web Accessibility Sam Houston State University is committed to making all official, academic for images aiding users who listen to the content of the site by using a screen reader, rather than reading

  18. MENTORING CONVERSATIONS AT THE UNIVERSITY OF MARYLAND: The 10 Things We Wish Our Advisors Knew

    E-Print Network [OSTI]

    Hill, Wendell T.

    MENTORING CONVERSATIONS AT THE UNIVERSITY OF MARYLAND: The 10 Things We Wish Our Advisors Knew In the hopes of contributing to larger conversations around mentoring for doctoral students at the University in their relationships with their advisors. Below is a list of the suggestions. 1) ADVISING AND/OR MENTORING. Knowing

  19. NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01T23:59:59.000Z

    The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).

  20. System Advisor Model Enhancements for CSP- FY13 Q1

    Broader source: Energy.gov [DOE]

    This document summarizes the progress of this NREL project, funded by SunShot, for the first quarter of fiscal year 2013.

  1. NREL's System Advisor Model Simplifies Complex Energy Analysis...

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

    diversifying. In addition to fossil fuel- based power, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex...

  2. Project Profile: System Advisor Model Enhancements for CSP | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010 |of Energy TEES logoSolarEnergy NREL logo

  3. Dissertation Permit Form Revised 09/09 CSE Ph.D. ADVISOR SELECTION AND PRE-DISSERTATION (8999) PERMIT FORM

    E-Print Network [OSTI]

    Gray, Alexander

    Dissertation Permit Form­ Revised 09/09 CSE Ph.D. ADVISOR SELECTION AND PRE-DISSERTATION (8999 Doctor of Philosophy program. In order to register for Ph.D. Dissertation Research Preparation (CSE 8999 in consultation with your dissertation advisor. Bring the signed form to the Academic Advisor in Computational

  4. Globalization, Economic Reform, and Structural Price Transmission: SAM Decomposition Techniques with an empirical application to Vietnam

    E-Print Network [OSTI]

    Kammen, Daniel M.

    1 Globalization, Economic Reform, and Structural Price Transmission: SAM Decomposition Techniques those which have been slow to reform systems of administered prices. Such allocation mechanisms now undermine reform and structural adjustments efforts in this important emerging Asian economy. Key words

  5. Sam Wang, Princeton Genes, Brain Circuits, and the Mind: From Optical Imaging to Genomics

    E-Print Network [OSTI]

    Glashausser, Charles

    Sam Wang, Princeton WANG 12-4 Genes, Brain Circuits, and the Mind: From Optical Imaging to Genomics information, my laboratory uses multiphoton optical methods to image activity in the cerebellum, a structure

  6. 9th Annual Oklahoma Native American Youth Language Fair Sam Noble Oklahoma Museum of Natural History

    E-Print Network [OSTI]

    Oklahoma, University of

    9th Annual Oklahoma Native American Youth Language Fair Sam Noble Oklahoma Museum of Natural History University of Oklahoma Elder Voices, Youth Choices from the Oklahoma Native American Youth Language Fair! We are pleased

  7. E-Print Network 3.0 - amine terminated sams Sample Search Results

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

    Summary: -FD and TOF-MS measurements reported as 10-9 mol amine per gram (nmolg) aerogel on a bulk sam- ple basis... :meteoritics.org AUTHOR'S PROOF 399 The...

  8. Recovery Act update from Sr. Advisor Matt Rogers-- End of Obligations

    Broader source: Energy.gov [DOE]

    Matt Rogers, Senior Advisor to the Secretary for Recovery Act Implementation, shares his thoughts as the Recovery Act reaches a critical milestone -- the end of the 2010 fiscal year and the last...

  9. BOARD OF ADVISORS TO THE PRESIDENTS OF THE NAVAL POSTGRADUATE SCHOOL & NAVAL WAR COLLEGE

    E-Print Network [OSTI]

    BOARD OF ADVISORS TO THE PRESIDENTS OF THE NAVAL POSTGRADUATE SCHOOL & NAVAL WAR COLLEGE October 17 attendance (choose all that apply): Naval Postgraduate School Subcommittee, 17 October 2012 Naval War College

  10. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery

  11. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Recanati, Catherine

    Science Arts & Métiers (SAM) is an open access repository that collects the work of Arts et Métiers-deposited version published in: http://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/7554 To cite this version : Carole BOUCHARD - Emotion finds a way to users from designers: assessing product images

  12. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Science Arts & Métiers (SAM) is an open access repository that collects the work of Arts et Métiers-deposited version published in: http://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/7602 To cite this version : Céline MOUGENOT, Carole BOUCHARD, Améziane AOUSSAT, Steve WESTERMAN - Inspiration, images

  13. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Boyer, Edmond

    Science Arts & Métiers (SAM) is an open access repository that collects the work of Arts et Métiers-deposited version published in: http://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/7554 To cite finds a way to users from designers: assessing product images to convey designer's emotion - Journal

  14. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Science Arts & Métiers (SAM) is an open access repository that collects the work of Arts et Métiers-deposited version published in: http://sam.ensam.eu Handle ID: .http://hdl.handle.net/10985/7815 To cite with the FE method using the geometry reconstruction from images of the microstructure. Nevertheless, it can

  15. The nucleation and growth of calcium oxalate monohydrate on self- assembled monolayers (SAMs)

    SciTech Connect (OSTI)

    Campbell, A.A.; Tarasevich, B.J.; Graff, G.L.; Fryxell, G.E.; Rieke, P.C.

    1992-05-01T23:59:59.000Z

    A physical chemical approach was used to study calcium oxalate monohydrate (COM) nucleation and growth on various organic interfaces. Self-assembling monolayers (SAMs), containing derivatized organic functional groups, were designed to mimic various amino acid residues present in both urine and stone matrix macromolecules. Derivatized surfaces include SAMs with terminal methyl, bromo, imidazole, and thiazolidine-carboxylic acid functional groups. Pronounced differences in COM deposition were observed for the various interfaces with the imidazole and thiazolidine surfaces having the greatest effect and the methyl and bromo groups having little or no nucleating potential.

  16. Residential Advisor Application 2014/15 Please read the job description and application process thoroughly, as your

    E-Print Network [OSTI]

    Sussex, University of

    Residential Advisor Application 2014/15 Please read the job description and application process the reasons why you want to become an RA and what skills you would bring to the Residential Advisor team. 2 preferred residential areas (e.g. York House, off Campus, East Slope) for your placement and your student

  17. Computing Equilibria in Multiplayer Stochastic Games of Imperfect Information Sam Ganzfried

    E-Print Network [OSTI]

    Computing Equilibria in Multiplayer Stochastic Games of Imperfect Information Sam Ganzfried in multiplayer stochastic games is a notoriously difficult prob- lem. Prior algorithms have been proven-player no- limit Texas hold'em tournament--a very large real- world stochastic game of imperfect information

  18. Neighbourhood Components Analysis Jacob Goldberger, Sam Roweis, Geoff Hinton, Ruslan Salakhutdinov

    E-Print Network [OSTI]

    Roweis, Sam

    Neighbourhood Components Analysis Jacob Goldberger, Sam Roweis, Geoff Hinton, Ruslan Salakhutdinov classification algorithm. The algorithm directly maximizes a stochastic variant of the leave-one-out KNN score error on the training data when used with a stochastic neighbour selection rule. Furthermore, we can

  19. 1 INTRODUCTION The plastic behavior of a certain powder or soil sam-

    E-Print Network [OSTI]

    Luding, Stefan

    1 INTRODUCTION The plastic behavior of a certain powder or soil sam- ple depends on the history in order to in- vestigate the elasto-plastic response of granular ma- terials. An alternative is obtained by the calculation of the interaction forces between parti- cles. This includes, e.g., plastic

  20. On the Energy-Efficiency of Speculative Hardware Nana B. Sam

    E-Print Network [OSTI]

    Burtscher, Martin

    On the Energy-Efficiency of Speculative Hardware Nana B. Sam Computer Systems Laboratory Cornell, several researchers have pro- posed and evaluated energy-efficient variants of speculation mechanisms to accurately com- pare the energy-efficiency of speculative architectures. Our met- ric is based on runtime

  1. Thompson's conjecture for real semisimple Lie groups JiangHua Lu # and Sam Evens +

    E-Print Network [OSTI]

    Evens, Sam

    Thompson's conjecture for real semi­simple Lie groups Jiang­Hua Lu # and Sam Evens + June 13, 2005 Dedicated to Professor Alan Weinstein for his 60th birthday Abstract A proof of Thompson's conjecture geometry. 1 Introduction Thompson's conjecture [T] for the group GL(n, C), which relates eigenvalues

  2. SAM: A Flexible and Secure Auction Architecture Using Trusted Hardware Adrian Perrig

    E-Print Network [OSTI]

    Tygar, Doug

    Warfare Systems Center San Diego), by the National Sci- ence foundation under grant FD99 This paper proposes the Secure Auction Marketplace (SAM), an architecture for electronic auctions using computation, In Electronic Journal on E-commerce Tools and Applications, 1:1, January 2002 #12

  3. Comparing Stream Geomorphology and Channel Habitat along a Stream Restoration Gradient Sam Stewart

    E-Print Network [OSTI]

    Vallino, Joseph J.

    Comparing Stream Geomorphology and Channel Habitat along a Stream Restoration Gradient Sam Stewart University #12;Abstract Stream restoration is a growing science due to the realization that the human into a whole reach study. This involved selecting four stream sites that would create a stream restoration

  4. Iris Image Retrieval Based on Macro-features Manisha Sam Sunder and Arun Ross

    E-Print Network [OSTI]

    Ross, Arun Abraham

    Iris Image Retrieval Based on Macro-features Manisha Sam Sunder and Arun Ross West Virginia investigate the use of macro-features that are visible on the anterior surface of RGB images of the iris, melanoma, etc. and may not be present in all iris images. Given an image of a macro- feature, the goal

  5. ACADEMIC TRAINING FOR J-1 STUDENTS -5 SAMPLE ADVISOR'S LETTER FOR ACADEMIC TRAINING

    E-Print Network [OSTI]

    Mohan, Chilukuri K.

    ACADEMIC TRAINING FOR J-1 STUDENTS - 5 SAMPLE ADVISOR'S LETTER FOR ACADEMIC TRAINING must Services FROM: Name Title RE: Recommendation for Academic Training for ___________________________ DATE ____________________________ ______________________________________________________. This student has an opportunity to pursue academic training with the employer indicated below. I have discussed

  6. COMPASS: A Community-driven Parallelization Advisor for Sequential Software Simha Sethumadhavan Nipun Arora

    E-Print Network [OSTI]

    Yang, Junfeng

    COMPASS: A Community-driven Parallelization Advisor for Sequential Software Simha Sethumadhavan. In this paper, we describe the research being conducted at Columbia University on a system called COMPASS already parallelized some similar code. The utility of COMPASS rests, not only on its ability to collect

  7. Sample Dissertation Proposal Outlines (Should Be Confirmed with Advisor) by Mark Warschauer, 11 January 2010

    E-Print Network [OSTI]

    Loudon, Catherine

    1 Sample Dissertation Proposal Outlines (Should Be Confirmed with Advisor) by Mark Warschauer, 11 January 2010 These two sample dissertation proposal outlines ­ one for a standard dissertation and one for a three-article dissertation ­ are being provided as examples only. There is no standard dissertation

  8. Economics Information for Faculty Advisors of Undeclared A&S Students General Information

    E-Print Network [OSTI]

    Davis, H. Floyd

    1 Economics Information for Faculty Advisors of Undeclared A&S Students General Information: The Economics undergraduate program is currently undergoing major changes --- for full details, please see the Undergraduate Economics Website: http://economics.cornell.edu/undergrad/index.html You can also check out

  9. Computer Science Major Worksheet B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________

    E-Print Network [OSTI]

    Delene, David J.

    10/15/2012 Computer Science Major Worksheet ­ B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________ Computer Science Required Courses Cr. Semester Gr. CSci 160 Computer Science I 4 CSci 161 Computer Science II 4 CSci 230 Systems Programming 3 CSci 242 Algo. & Data

  10. Master Gardener Advisory Committee Members Ed Thralls Advisor Extension Agent ed.thralls@ocfl.net

    E-Print Network [OSTI]

    Jawitz, James W.

    Master Gardener Advisory Committee Members 2014 Ed Thralls Advisor Extension Agent ed.thralls@ocfl.net@me.com Pam Paisley Member Master Gardener pppaisley@earthlink.net Dailey Smith Member Master Gardener pirate45@gmail.com Regina Dunay Member Master Gardener dunayr@earthlink.net Jennifer Helvenston Member

  11. Energy Advisors at Work: Charity Work Practices to Support People in Fuel Poverty

    E-Print Network [OSTI]

    Energy Advisors at Work: Charity Work Practices to Support People in Fuel Poverty Joel E. Fischer to people in fuel poverty. Our fieldwork comprises detailed observations that reveal the collaborative design challenges that relate the domestic fuel poverty setting to the wider Ubicomp literature. Our work

  12. Oxygen Consumption by Germinating Seeds Advisor: Dr. Neil Budko (n.v.budko@tudelft.nl)

    E-Print Network [OSTI]

    Vuik, Kees

    Oxygen Consumption by Germinating Seeds Advisor: Dr. Neil Budko (n.v.budko@tudelft.nl) Problem) by the Fytagoras B.V. (Leiden): "Seed germination in most seeds depends on the availability of oxygen. Living seeds commences. The availability of oxygen to the embryo in the seed depends on the oxygen concentration around

  13. Office of Residential Life PreCollege Summer Resident Advisor Contract 2014

    E-Print Network [OSTI]

    Royer, Dana

    Office of Residential Life PreCollege Summer Resident Advisor Contract ­ 2014 This contract by Wesleyan University and the Office of Residential Life; as such they are placed in a position the terms of my position will result in further action according to the Residential Life Staff Discipline

  14. Microsoft PowerPoint - 5_g ARYWednesday 5-22 SAMS - Fillable Forms.ppt [Compatibility Mode]

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch Project Lead SAMS  SAMS 8.0 / SAMS

  15. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Steam distillation column Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  16. Review: The Pedagogical State: Education and the Politics of National Culture in Post-1980 Turkey by Sam Kaplan

    E-Print Network [OSTI]

    Rexhepi, Jevdet

    2008-01-01T23:59:59.000Z

    Culture in Post-1980 Turkey by Sam Kaplan. Palo Alto, CA:pp. ISBN 0-8047-5433-0. Turkey has long gripped the ferventparticular ideologies in Turkey to tease out the multiple

  17. 5.5 ACADEMIC ADVISORS The various MMath/BSc (Honours) programmes offered by the School of

    E-Print Network [OSTI]

    Sidorov, Nikita

    to Reception in the Alan Turing Building to arrange a mutually convenient time. Alternatively, you can contact Advisor should see the Director of Undergraduate Studies (Dr L A Walker, Room 2.243, Alan Turing Building

  18. Building Design Advisor: Automated integration of multiple simulation tools K. Papamichael, J. LaPorta, H. Chauvet

    E-Print Network [OSTI]

    LBNL-40591 Preprint Building Design Advisor: Automated integration of multiple simulation tools K. Papamichael, J. LaPorta, H. Chauvet Building Technologies Program Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley, California 94720 Abstract The Building

  19. Recovery Act update from Sr. Advisor Matt Rogers -- End of Obligations

    SciTech Connect (OSTI)

    Rogers, Matt

    2010-01-01T23:59:59.000Z

    Senior Advisor to the Secretary for Recovery Act Implementation Matt Rogers shares his thoughts as the Recovery Act reaches a critical milestone -- the end of the 2010 fiscal year and the last day to obligation contract and grant funding under the Recovery Act. For more information about the Recovery Act at the Department of Energy: http://www.energy.gov/recovery Follow the Department of Energy! http://facebook.com/energygov http://twitter.com/energy

  20. Development of an On-Line Expert System: Heat Rate Degradation Expert System Advisor

    E-Print Network [OSTI]

    Sopocy, D. M.; Henry, R. E.; Gehl, S.; Divakaruni, S. M.

    and performance monitors in evaluating and diagnosing plant performance. Recognizing an industry-wide need for this advanced capability, the Electric Power Research Institute (EPRI) has undertaken the development and demonstration of an on-line expert system... called "Heat Rate Degradation Expert System Advisor." This expert system will enhance the logic trees previously developed and documented in EPRI Report CS-4554, "Heat Rate Improvement Guidelines for Existing Fossil Plants" (1), with analytical...

  1. Recovery Act update from Sr. Advisor Matt Rogers -- End of Obligations

    ScienceCinema (OSTI)

    Rogers, Matt

    2013-05-29T23:59:59.000Z

    Senior Advisor to the Secretary for Recovery Act Implementation Matt Rogers shares his thoughts as the Recovery Act reaches a critical milestone -- the end of the 2010 fiscal year and the last day to obligation contract and grant funding under the Recovery Act. For more information about the Recovery Act at the Department of Energy: http://www.energy.gov/recovery Follow the Department of Energy! http://facebook.com/energygov http://twitter.com/energy

  2. Sterile acceptable milk (SAM): a major energy-saving technology. Summary and recommendations

    SciTech Connect (OSTI)

    Not Available

    1980-10-01T23:59:59.000Z

    Milk consumption, its nutritial values, and its sanitation and preservation are reviewed. The production of sterile milk as an alternative to pasteurized milk is discussed. A technical assessment of the feasibility of introducing sterile acceptable milk (SAM) into the American economy and the energy and economic impacts that would result are summarized. Research has demonstrated that milk sterilized as a free falling film in a saturated steam environment producea product which consumers would find comparable to existing pasteurized milk. This bulletin provides an overview of the research project and presents highlights of the analysis. (MCW)

  3. Sterile acceptable milk (SAM): a major energy-saving technology. Summary and recommendations

    SciTech Connect (OSTI)

    Not Available

    1980-10-01T23:59:59.000Z

    Milk consumption, its nutritive values, and its sanitation and preservation are reviewed. The production of sterile milk as an alternative to pasteurized milk is discussed. A technical assessment of the feasibility of introducing sterile acceptable milk (SAM) into the American economy and the energy and economic impacts that would result are summarized. Research has demonstrated that milk sterilized as a free falling film in a saturated steam environment produced a product which consumers would find comparable to existing pasteurized milk. This bulletin provides an overview of the research project and presents highlights of the analysis. (MCW)

  4. Anodic Behavior of SAM2X5 Material Applied as Amorphous Coatings

    SciTech Connect (OSTI)

    Hailey, P D; Farmer, J C; Day, S D; Rebak, R B

    2007-08-10T23:59:59.000Z

    Iron-based amorphous alloys are desirable industrial materials since they are highly resistant to corrosion and possess enhanced hardness for wear resistance. The amorphous materials can be produced from the melt as powder and later spray deposited as coatings on large engineering structures. As a laboratory experiment, SAM2X5 powder was coated on electrochemical specimens of 304SS for testing. Results show that the coated specimens did not perform satisfactorily during the laboratory testing. This is because of partial devitrification during the deposition of the powder on the small specimen substrates.

  5. F A C U L T Y Sam Minner, PhD

    E-Print Network [OSTI]

    Gering, Jon C.

    F A C U L T Y DEAN Sam Minner, PhD FACULTY Josephine Agnew, EdD Dale Blesz, PhD Kay Clapp, PhD Darl Davis, EdS Donna Fisher-Rhinesmith, EdD Lou Ann Gilchrist, EdD Janice Grow, PhD Barbara K. Heard, EdD John Hoffmann, PhD Peter Kelly, PhD Christopher Maglio, PhD Robert J. Martin, PhD Patricia Miller, PhD

  6. Sam's Family Spa Pool & Spa Low Temperature Geothermal Facility | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:RoscommonSBYSalton Sea Geothermal Area Jump to:Sam RayburnEnergy

  7. Homocysteine Methyltransferases Mht1 and Sam4 Prevent the Accumulation of Age-damaged (R,S)-AdoMet in the Yeast

    E-Print Network [OSTI]

    Clarke, Steven

    Homocysteine Methyltransferases Mht1 and Sam4 Prevent the Accumulation of Age-damaged (R, it was not established whether these activities could prevent R,S accumulation. In this work, we show that both the Mht1 and Sam4 enzymes are capa- ble of preventing R,S accumulation in Saccharomyces cerevisiae grown

  8. Laser Measurement of SAM Bulk and Surface Wave Amplitudes for Material Microstructure Analysis

    SciTech Connect (OSTI)

    Ken L. Telschow; Chiaki Miyasaka; David L. Cottle

    2005-07-01T23:59:59.000Z

    Scanning Acoustic Microscopy (SAM) at ultra high frequencies has proven to be a useful tool for investigating materials on the scale of individual grains. This technique is normally performed in a reflection mode from one side of a sample surface. Information about the generation and transmission of bulk acoustic waves into the material is inferred from the reflection signal amplitude. We present an adaptation to the SAM method whereby the acoustic bulk waves are directly visualized through laser acoustic detection. Ultrasonic waves were emitted from a nominal 200 MHz point focus acoustic lens into a thin silicon plate (thickness 75ìm) coupled with distilled water. A scanned laser beam detected the bulk and surface acoustic waves at the opposite surface of the thin silicon plate. Distinct amplitude patterns exhibiting the expected symmetry for Silicon were observed that alter in predictable ways as the acoustic focal point was moved throughout the plate. Predictions of the acoustic wave fields generated by the acoustic lens within and at the surface of the Silicon are being investigated through the angular spectrum of plane waves approach. Results shall be presented for plates with (100) and (111) orientations followed by discussion of applications of the technique for material microstructure analysis.

  9. Time Series Models: Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational before. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS chain with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y

  10. Time Series Models: Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    Time Series Models: Hidden Markov Models & Linear Dynamical Systems Sam Roweis Gatsby Computational. Discrete state: { Moore and Mealy machines (engineering) { stochastic #12;nite state automata (CS with stochastic measurements. Gauss-Markov process in a pancake. PSfrag replacements x 1 y 1 x 2 y 2 x 3 y 3 x T y

  11. Intrinsic Case Study of Advisors’ Perceptions of Advising International Transfer Students Transitioning from a Two-Year College to a Land-Grant University in the Southwest Region of the United States 

    E-Print Network [OSTI]

    De Sousa, David Alexandre

    2014-12-15T23:59:59.000Z

    This qualitative intrinsic case study examined advisor’s perceptions of advising transitioning international transfer students transferring from a two-year college to a land-grant institution in the southwest region on the United States. Literature...

  12. Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter

    E-Print Network [OSTI]

    Ferrari-Trecate, Giancarlo

    Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification dynamics, sparse sam- pling, genetic network, biochemical systems. 1 Introduction During the last decades biological processes are intrinsically uncertain [28, 21]. For instance, stochastic phenomena appear

  13. Stochastic Modeling Techniques: Understanding and using hidden Markov models

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Tutorial Stochastic Modeling Techniques: Understanding and using hidden Markov models Leslie Grate¨olander kimmen@cse.ucsc.edu 1 #12; Contents 1 Introduction 3 2 Mathematical Foundations of Stochastic Models 4 2 : : : : : : : : : : : : : : : : : : : : : : : : : : 27 7 Validating a model 30 8 Local HMM installation 31 8.1 Obtaining SAM and HMMer

  14. Multiple Alignment of Continuous Time Series Jennifer Listgarten + , Radford M. Neal + , Sam T. Roweis + and Andrew Emili #

    E-Print Network [OSTI]

    Roweis, Sam

    Multiple Alignment of Continuous Time Series Jennifer Listgarten + , Radford M. Neal + , Sam T of continuous­valued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys­ tematic sources of variability

  15. Biomass Stove Pollution Sam Beck ATOC-3500 Biomass energy accounts for about 15% of the world's primary energy consumption and

    E-Print Network [OSTI]

    Toohey, Darin W.

    Biomass Stove Pollution Sam Beck ATOC-3500 Biomass energy accounts for about 15% of the world. Furthermore, biomass often accounts for more than 90% of the total rural energy supplies in developing countries. The traditional stoves in developing countries waste a lot of biomass, mainly because

  16. WORD SHAPE RECOGNITION FOR IMAGE-BASED DOCUMENT RETRIEVAL Weihua Huang, Chew Lim Tan, Sam Yuan Sung and Yi Xu

    E-Print Network [OSTI]

    Tan, Chew Lim

    WORD SHAPE RECOGNITION FOR IMAGE-BASED DOCUMENT RETRIEVAL Weihua Huang, Chew Lim Tan, Sam Yuan Sung In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images of document images. The proposed method is robust to changing fonts and styles, and is less affected

  17. WHITE Co-Op Office YELLOW Advisor PINK Employer GOLD Student coop: 02-2011 WEST VIRGINIA UNIVERSITY

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    WHITE ­ Co-Op Office YELLOW ­ Advisor PINK ­ Employer GOLD ­ Student coop: 02-2011 WEST VIRGINIA to the participation in the Cooperative Education Program at West Virginia University's College of Engineering in Engineering in good faith and fairness to both the employer and West Virginia University. 2. Maintain

  18. Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Students (2014-15 academic year)

    E-Print Network [OSTI]

    Johnson, Cari

    Geology and Geophysics at the University of Utah Advisors for Undergraduate Geology & Geophysics Students (2014-15 academic year): General Academic Advising for Geology & Geophysics Majors ­ Ms. Judy for Geology Emphasis, Geoscience Major ­ Prof. Brenda Bowen (email: brenda.bowen@ utah.edu, office: 341 FASB

  19. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning

  20. Integration of Nonlinear CDU Models in Refinery

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Integration of Nonlinear CDU Models in Refinery Planning Optimization Abdulrahman Alattas, Advisor #12;Refinery Planning Model Development Fixed-yieldModels SwingcutsModels LPPlanningModels Aggregate for the CDU #12;Planning Model Example Typical Refinery Configuration (Adapted from Aronofsky, 1978) Cat Ref

  1. advisor model risk-reduction: Topics by E-print Network

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

    P. Georgiadis, Professor. Adaptive Educational Hypermedia Systems on the Web for the Didactics Computer Technologies and Information Sciences Websites Summary: Dissertation...

  2. An Evolutionary Model for Space Solar Power Nicholas Boechler, Sameer Hameer, Sam Wanis, Narayanan Komerath

    E-Print Network [OSTI]

    to boost terrestrial "green" energy production and thus benefit from the concerns about global warming for global transmission and distribution, rather than generation, establish the infrastructure, and then add solar-electric and wind power sources still remain secondary and subsidized. It discusses how to develop

  3. Application of the Self-Assembled Monolayer (SAM) Model to Dithiophosphate and Dithiocarbamate Engine Wear Inhibitors

    E-Print Network [OSTI]

    Ã?agin, Tahir

    as effective as Zn(DTP)2 presents a strong challenge to the oil industry. There are a large number3 Zinc dithiophosphates [Zn(DTP)2] (DTP, 1) have been used for several decades1 as the most effective and economic lubricant antiwear additive. Although Zn(DTP)2 reduces wear to accept- able levels in modern

  4. A Sticker Based Model for DNA Computation Sam Roweis1, Erik Winfree1,

    E-Print Network [OSTI]

    Roweis, Sam

    . Chelyapov3, Myron F. Goodman4, Paul W. K. Rothemund3, Leonard M. Adleman3y Laboratory for Molecular Science

  5. A Generic Model of a Gyrator Based APFC Michael Evzelman and Sam Ben-Yaakov

    E-Print Network [OSTI]

    power levels. More advanced APFC systems, that do not require voltage sensing and analog multiplier development and analog implementation of the element as an impedance inverter were demonstrated in [15 is given in [16]. In the latter, the Gyrator function was realized by applying classical buck, boost

  6. An Ontology for the Simulation, Algorithms, and Modeling (SAM) Office of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta FeAuthorization| Iron is the most

  7. Barnase as a model for the denatured state of proteins

    E-Print Network [OSTI]

    Hoffart, Lee Michael

    2013-02-22T23:59:59.000Z

    Texas A8cM University in partial fulfillment of the requirements of the UNIVERSITY UNDERGRADUATE RESEARCH FELLOWS Approved as to style and content by: C. Nick Pace (Fellows Advisor) Edward A. Funkhouser (Executive Director) April 2002 Group...: Life Sciences II ABSTRACT Barnase As A Model For The Denatured State Of Proteins (April 2002) Lee Michael Hoffart Department of Biochemistry Texas A8cM University Fellows Advisor: Dr. C. Nick Pace Department of Medical Biochemistry and Genetics...

  8. SCIA 2003 Tutorial: Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    SCIA 2003 Tutorial: Hidden Markov Models Sam Roweis, University of Toronto June 29, 2003 Probabilistic Generative Models for Time Series · Stochastic models for time-series: y1, y2, . . . , yT To get the system stochastic: p(yt|yt-1, yt-2, . . . , yt-k) · Markov models have two problems: ­ need big order

  9. Sustainable Roofscapes: Developing a green roof implementation model for Tucson, AZ

    E-Print Network [OSTI]

    Fay, Noah

    Sustainable Roofscapes: Developing a green roof implementation model for Tucson, AZ BRENT JACOBSEN Advisor: Dr. Margaret Livingston School of Landscape Architecture and Planning College of Architecture and Landscape Architecture Special Acknowledgements: The University of Arizona, Technology and Research

  10. Improvements to building energy usage modeling during early design stages and retrofits

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

    A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

  11. Reconstitution of ThiC in thiamine pyrimidine biosynthesis expands the radical SAM superfamily

    SciTech Connect (OSTI)

    Chatterjee, Abhishek; Li, Yue; Zhang, Yang; Grove, Tyler L.; Lee, Michael; Krebs, Carsten; Booker, Squire J.; Begley, Tadhg P.; Ealick, Steven E. (Cornell); (Penn)

    2009-01-15T23:59:59.000Z

    4-Amino-5-hydroxymethyl-2-methylpyrimidine phosphate (HMP-P) synthase catalyzes a complex rearrangement of 5-aminoimidazole ribonucleotide (AIR) to form HMP-P, the pyrimidine moiety of thiamine phosphate. We determined the three-dimensional structures of HMP-P synthase and its complexes with the product HMP-P and a substrate analog imidazole ribotide. The structure of HMP-P synthase reveals a homodimer in which each protomer comprises three domains: an N-terminal domain with a novel fold, a central ({beta}{alpha}){sub 8} barrel and a disordered C-terminal domain that contains a conserved CX{sub 2}CX{sub 4}C motif, which is suggestive of a [4Fe-4S] cluster. Biochemical studies have confirmed that HMP-P synthase is iron sulfur cluster-dependent, that it is a new member of the radical SAM superfamily and that HMP-P and 5{prime}-deoxyadenosine are products of the reaction. Moessbauer and EPR spectroscopy confirm the presence of one [4Fe-4S] cluster. Structural comparisons reveal that HMP-P synthase is homologous to a group of adenosylcobalamin radical enzymes. This similarity supports an evolutionary relationship between these two superfamilies.

  12. Solar Photovoltaic Capacity F t P f d P li

    E-Print Network [OSTI]

    6/19/2013 1 Solar Photovoltaic ­ Capacity F t P f d P li Generating Resources Advisory Committee Advisor Model (SAM), version 2013.1.15 Technology: Solar PV (PVWatts system model)Technology: Solar PV (MWh) (First year output, each year thereafter degrades 0.5%) 6 #12;6/19/2013 4 Shape of PNW Solar PV

  13. Long-run Implications of a Forest-based Carbon Sequestration Policy on the United States Economy: A Computable General Equilibrium (CGE) Modeling Approach 

    E-Print Network [OSTI]

    Monge, Juan

    2012-10-19T23:59:59.000Z

    The economic impacts of a government-funded, forest-based sequestration program were analyzed under two different payment schemes. The impacts were obtained by developing a regional, static CGE model built to accommodate a modified IMPLAN SAM for a...

  14. Long-run Implications of a Forest-based Carbon Sequestration Policy on the United States Economy: A Computable General Equilibrium (CGE) Modeling Approach

    E-Print Network [OSTI]

    Monge, Juan

    2012-10-19T23:59:59.000Z

    The economic impacts of a government-funded, forest-based sequestration program were analyzed under two different payment schemes. The impacts were obtained by developing a regional, static CGE model built to accommodate a modified IMPLAN SAM for a...

  15. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Distillation Column FI Model Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  16. Optimal Model-Based Production Planning for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor to refinery profit and economics Refinery production planning models Operation optimization Crude selection Integrate scheduling into planning model Current Project collaboration with BP Goal: develop a refinery

  17. OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS

    E-Print Network [OSTI]

    OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS Bengt Carlsson, Anders Ahl'en and Mikael Sternad \\Lambda November 1989 Abstract The problem of estimating the time derivative of a signal from sam is to use stochastic models of the signal to be differentiated and of the measurement noise. Two approaches

  18. Entry Group Team Members Project name Advisor Major Concentration G/U 1 GB Patrick Edward Kraus Boyd Terror Management: Upward and Downward Mental Simulations of Mortality Dr. Charlotte Chuck Tate Social Psychology graduate

    E-Print Network [OSTI]

    Psychology Graduate #12;Entry Group Team Members Project name Advisor Major Concentration G/U Displa18 GLEntry Group Team Members Project name Advisor Major Concentration G/U 1 GB Patrick Edward Kraus Social Psychology graduate 2 GB Aggie Wong Social Interactions, Age and Aggression: Negative Behaviors

  19. Ionosphere Threat to LAAS: Updated Model, User Impact, and Mitigations

    E-Print Network [OSTI]

    Stanford University

    1 Ionosphere Threat to LAAS: Updated Model, User Impact, and Mitigations Ming Luo, Sam Pullen-4], a "linear spatial gradient front" model was established and a threat space was extrapolated based on data from the 6 April 2000 ionospheric storm. User vertical error was estimated based on this threat model

  20. Multiple Alignment of Continuous Time Series Jennifer Listgarten y , Radford M. Neal y , Sam T. Roweis y and Andrew Emili z

    E-Print Network [OSTI]

    Roweis, Sam

    Multiple Alignment of Continuous Time Series Jennifer Listgarten y , Radford M. Neal y , Sam T of continuous­valued time series from a stochastic process often contain systematic variations in rate time series generated by a noisy, stochastic process, large sys­ tematic sources of variability

  1. Historical SAM Variability. Part I: Century-Length Seasonal Reconstructions* JULIE M. JONES,1 RYAN L. FOGT,#,@ MARTIN WIDMANN,& GARETH J. MARSHALL,**

    E-Print Network [OSTI]

    Howat, Ian M.

    L. FOGT,#,@ MARTIN WIDMANN,& GARETH J. MARSHALL,** PHIL D. JONES,11 AND MARTIN VISBECK## 1) on the index of Marshall. A regional-based SAM index (Visbeck) is also considered. These predictands agree well, while in winter and spring the Marshall index is better reconstructed by Fogt than the PC index is by JW

  2. Ab initio study of thallium nanoclusters on Si,,111...-77 Geunsik Lee,* Choon Gyu Hwang, Nam Dong Kim, Jinwook Chung, and Jai Sam Kim

    E-Print Network [OSTI]

    Kim, Jai Sam

    Kim, Jinwook Chung, and Jai Sam Kim Department of Physics, Pohang University of Science and Technology, individual adatoms could not be resolved in the scanning tunneling microscopy STM image, which seemingly group III elements, which are almost the same in shape, show clear atomic spots in STM images

  3. Text Retrieval from Document Images based on Word Shape Analysis Chew Lim Tan, Weihua Huang, Sam Yuan Sung, Zhaohui Yu and Yi Xu

    E-Print Network [OSTI]

    Tan, Chew Lim

    Text Retrieval from Document Images based on Word Shape Analysis Chew Lim Tan, Weihua Huang, Sam, Singapore 117543 Abstract In this paper, we propose a method of text retrieval from document images using a similarity measure based on word shape analysis. We directly extract image features instead of using optical

  4. Vertical Bar Detection for Gauging Text Similarity of Document Images Weihua Huang, Chew Lim Tan, Sam Yuan Sung and Yi Xu

    E-Print Network [OSTI]

    Tan, Chew Lim

    Vertical Bar Detection for Gauging Text Similarity of Document Images Weihua Huang, Chew Lim Tan, Sam Yuan Sung and Yi Xu School of Computing, National University of Singapore Kent Ridge, Singapore 117543 Abstract A new method for gauging text similarity of image-based document using word shape

  5. The Building Design Advisor K. Papamichael, J. LaPorta, H. Chauvet, D. Collins, T. Trzcinski, J. Thorpe, and S. Selkowitz

    E-Print Network [OSTI]

    - 1 - The Building Design Advisor K. Papamichael, J. LaPorta, H. Chauvet, D. Collins, T. Trzcinski, J. Thorpe, and S. Selkowitz Building Technologies Program Energy and Environment Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley, California 94720 Abstract The Building Design

  6. National resources for development -- a suggested decision model

    E-Print Network [OSTI]

    Henry, Sam Sherrill

    1973-01-01T23:59:59.000Z

    December 1973 Ma]or Sub]ect i Political Science NAT1ONAL RESOURCES FOR DEVELOPMENT ? A SUGGESTED DECISION MODEL A Thesis SAM SHERRILL HENRY, JR, Approved as to style and content by& ha rman of Comm ttee Gi uDP 'uu P Head of Depar ment Mem'ber Me... er December 19'73 ABSTRACT National Resources for Development -- A Suggested Decision Model (December 1973) Sam Sherrill Henry, Jr. , B. A. , Texas ARM University Directed bye Dr, Robert A. Bernstein This study is designed to analyze selected...

  7. Dissertation Advisor: P. Georgiadis, Professor. Adaptive Educational Hypermedia Systems on the Web for the Didactics

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    for the Didactics of Science and Technology Alexandros Papadimitriou alexandr@di.uoa.gr Abstract This doctoral-cultural and the meta- cognitive didactic models, and it also supports the individual and collaborative learning. he didactic strategies supported by the MATHEMA based on Kolb's learning styles model. The general aim

  8. Nonparametric Stochastic Modeling Of Linear Systems With Pre-scribed Variance Of Several Natural Frequencies

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Nonparametric Stochastic Modeling Of Linear Systems With Pre- scribed Variance Of Several Natural of the inverse of the random matrix. The efficient simulation of sam- ples of random matrices according matrices, maximum entropy, probabilistic model 1 INTRODUCTION The stochastic modeling and simulation

  9. Key to images: [1] Model system: fission yeast [2] Cryo-EM structure

    E-Print Network [OSTI]

    Brierley, Andrew

    Key to images: [1] Model system: fission yeast [2] Cryo-EM structure of the MCM helicase [3 combing [8] Model system: Xenopus [9] Extreme environments [10] Model system: C.elegans. Background image of the evolution of the replication machinery highlighted. BSRC B306 Email: sam31@st-and.ac.uk 1 2 3 4 5 6 7 8 9 10

  10. Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI

    E-Print Network [OSTI]

    Behmer, Spencer T.

    Trans IDIS 400 3-3-4 Industrial Automation IDIS 300 3-3-4 Industrial Electricity IDIS 303 2-2-3 Mech given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalog 137 2014

  11. Surrogate and reduced-order modeling: a comparison of

    E-Print Network [OSTI]

    Peraire, Jaime

    . Second, sam- pling may be complicated by the large dimensionality of the input space--as when the inputs or accelerating evaluations of a stochastic model for the data, and thus are also applicable in a frequentist and multiscale approaches, and stochastic spectral approaches. Second, the dimension of the input space can

  12. Admixture of Poisson MRFs: A Topic Model with Word Dependencies

    E-Print Network [OSTI]

    Ghosh, Joydeep

    to previous inde- pendent topic models such as PLSA (Hof- mann, 1999), LDA (Blei et al., 2003) or SAM dis- tribution for any topic, and its Bayesian counterpart, LDA (Blei et al., 2003), which adds collections and have attracted a long line of work with numerous extensions (see (Blei, 2012) for a review

  13. Relationship between gradient and EM steps in latent variable models.

    E-Print Network [OSTI]

    Roweis, Sam

    includes random search, standard gradient­based algorithms, line search methods such as conjugate gradient to to first order method operat­ ing on the gradient of a locally reshaped likelihood function. DirectRelationship between gradient and EM steps in latent variable models. Ruslan Salakhutdinov Sam

  14. Relationship between gradient and EM steps in latent variable models.

    E-Print Network [OSTI]

    Roweis, Sam

    includes random search, standard gradient-based algorithms, line search methods such as conjugate gradient to to first order method operat- ing on the gradient of a locally reshaped likelihood function. DirectRelationship between gradient and EM steps in latent variable models. Ruslan Salakhutdinov Sam

  15. Application of the SelfAssembled Monolayer (SAM) Model to Dithio phosphate and Dithiocarbamate Engine Wear Inhibitors

    E-Print Network [OSTI]

    Ã?agin, Tahir

    decades 1 as the most effective and economic lubricant antiwear additive. Although Zn(DTP) 2 re­ duces to the oil industry. There are a large number 3 of potential lubricant additives that might possibly help specifications plan to soon impose limitations on the maximum phospho­ rus content that can be used in lubricant

  16. A comparison of option prices under different pricing measures in a stochastic volatility model

    E-Print Network [OSTI]

    Howison, Sam

    A comparison of option prices under different pricing measures in a stochastic volatility model with correlation Vicky Henderson Princeton University David Hobson § University of Bath Sam Howison ¶ University option prices in an incomplete stochastic volatility model with correlation. In a general setting, we

  17. The Nonparametric Metadata Dependent Relational Model Dae Il Kim daeil@cs.brown.edu

    E-Print Network [OSTI]

    Sudderth, Erik

    relational (NMDR) model, a Bayesian nonparametric stochastic block model for network data. The NMDR al- lows observed node relationships. Ret- rospective MCMC methods allow our sam- pler to work directly interests. Wang & Wong (1987) proposed the latent stochastic blockmodel (LSB) as a generalization of mixture

  18. OCCUPANCY DISTRIBUTIONS ARISING IN SAMPLING FROM GIBBS-POISSON ABUNDANCE MODELS

    E-Print Network [OSTI]

    together with a sampling model. We start with a discrete model of iid stochastic species abundances, each, which is a measure of richness or diversity of species. We rederive the sam- pling formulae1 , SERVET MART´INEZ2 (iid) stochastic species abundances d = 1, ..., n , based on Gibbs

  19. MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES

    E-Print Network [OSTI]

    Wirthlin, Michael J.

    MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES Brian as a classical inverse imaging prob- lem, which for MEG is notoriously ill posed and requires strong sam- ple grid. The second model permits simulating an MRF over the non-uniform grid required

  20. A Small Artery Heat Transfer Model for Self-Heated Thermistor Measurements of Perfusion in the

    E-Print Network [OSTI]

    A Small Artery Heat Transfer Model for Self-Heated Thermistor Measurements of Perfusion model (SAM) for self-heated thermistor measurements of perfusion in the canine kidney is developed based clinical method to quantify perfusion for a majority of applications. Self-heated thermistor techniques

  1. Modeling and Reasoning about Everyday Events Dustin Arthur Smith

    E-Print Network [OSTI]

    Herr, Hugh

    Modeling and Reasoning about Everyday Events Dustin Arthur Smith Thesis Proposal for the Degree THESIS ADVISOR: Henry Lieberman Research Scientist MIT Media Lab SIGNED: THESIS READER: Marvin Minsky Professor of Media Arts and Sciences Professor of Electrical Engineering and Computer Science MIT Media Lab

  2. A Design Model for Subsurface Drip Irrigation in Arizona

    E-Print Network [OSTI]

    Fay, Noah

    and useful tool when applied to the design of subsurface irrigation systems #12;Acknowledgements This projectA Design Model for Subsurface Drip Irrigation in Arizona Michael Liga Advisor: Dr. Don Slack Biosystems Engineering University of Arizona #12;Water Issue Subsurface Drip Irrigation · Benefits ·Increased

  3. Dense gas dispersion modeling for aqueous releases 

    E-Print Network [OSTI]

    Lara, Armando

    1999-01-01T23:59:59.000Z

    DENSE GAS DISPERSION MODELING FOR AQUEOUS RELEASES A Thesis by ARMANDO LARA Submitted to the Office of Graduate Studies of Texas A&M University In partial fulfill ment of the requirements for the degree of MASTER OF SCIENCE May 1999 Major... Modeling for Aqueous Releases. (May 1999) Armando Lara, B. S. , University of Houston Chair of Advisory Committee: Dr. Sam Mannan Production, transportation, and storage of hazardous chemicals represent potential risks to the environment, the public...

  4. A New Structural Form in the SAM/Metal-Dependent O;#8209;Methyltransferase Family: MycE from the Mycinamicin Biosynthetic Pathway

    SciTech Connect (OSTI)

    Akey, David L.; Li, Shengying; Konwerski, Jamie R.; Confer, Laura A.; Bernard, Steffen M.; Anzai, Yojiro; Kato, Fumio; Sherman, David H.; Smith, Janet L. (Michigan); (Toho)

    2012-08-01T23:59:59.000Z

    O-linked methylation of sugar substituents is a common modification in the biosynthesis of many natural products and is catalyzed by multiple families of S-adenosyl-l-methionine (SAM or AdoMet)-dependent methyltransferases (MTs). Mycinamicins, potent antibiotics from Micromonospora griseorubida, can be methylated at two positions on a 6-deoxyallose substituent. The first methylation is catalyzed by MycE, a SAM- and metal-dependent MT. Crystal structures were determined for MycE bound to the product S-adenosyl-l-homocysteine (AdoHcy) and magnesium, both with and without the natural substrate mycinamicin VI. This represents the first structure of a natural product sugar MT in complex with its natural substrate. MycE is a tetramer of a two-domain polypeptide, comprising a C-terminal catalytic MT domain and an N-terminal auxiliary domain, which is important for quaternary assembly and for substrate binding. The symmetric MycE tetramer has a novel MT organization in which each of the four active sites is formed at the junction of three monomers within the tetramer. The active-site structure supports a mechanism in which a conserved histidine acts as a general base, and the metal ion helps to position the methyl acceptor and to stabilize a hydroxylate intermediate. A conserved tyrosine is suggested to support activity through interactions with the transferred methyl group from the SAM methyl donor. The structure of the free enzyme reveals a dramatic order-disorder transition in the active site relative to the S-adenosyl-L-homocysteine complexes, suggesting a mechanism for product/substrate exchange through concerted movement of five loops and the polypeptide C-terminus.

  5. Lead Policy Advisor

    Broader source: Energy.gov [DOE]

    This position is located in the Weatherization Assistance Program (WAP) within the Office of Energy Efficiency and Renewable Energys (EERE) Weatherization and Intergovernmental Program Office (WIPO...

  6. Intel® Advisor XE

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

    or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel...

  7. Undergraduate Advisors in Mathematics

    E-Print Network [OSTI]

    Sample Plans of Study can be found in the information for mathematics majors on the Majors and Minor information page. Department of Mathematics, Purdue ...

  8. Student:______________________________ Advisor:_____________________________ ID #:________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    Project (1 Credit) Matriculation Date: September 2014 #12;BSCPE - Notes (a) Natural Sciences: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: So

  9. Student:______________________________ Advisor:_____________________________ ID #:________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    Sciences: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must and 162, ES 56, EE 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b), or use iSIS ­ Must be courses with attribute value: So

  10. Student:______________________________ Advisor:_____________________________ ID #:________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must) MATH 161 and 162, ES 56, EE 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b), or use iSIS- Must be courses with attribute value: So

  11. Student:______________________________ Advisor:_____________________________ ID #:________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    : September 2014 #12;BSEE - Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE-Mathematics (c) ES 5, ES 7, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b

  12. Student:_________________________________ Advisor:_____________________________ ID #:___________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    ­ Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE ­ Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE - Mathematics (c) Foundation Elective: Use iSIS-req of BIO 13, CHEM 1, EOS 1, or PHY 11 Or, EM course (d) Use iSIS ­ Must be ME course, except ME 94, 96, 193

  13. Student:______________________________ Advisor:_____________________________ ID #:________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    :__________________ * No Pass/Fail Program Electives (6 Credits) (e) #12;BSE - Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value 55, ES 56, CEE 187 (d) Use iSIS - Must be CEE courses with attribute value: SoE-Engineering (e) Use iSIS

  14. Student:_________________________________ Advisor:_____________________________ ID #:___________________________________

    E-Print Network [OSTI]

    Dennett, Daniel

    (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE-Mathematics (c) Foundation Elective: Use iSIS-req of BIO 13, CHEM 1, EOS 1, or PHY 11 Or, Any EM course (d) Use iSIS - Must be ME course, except ME 94, 96

  15. Advisor: Kate Scholberg

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

    with experiments that probe fundamental neutrino properties including neutrinoless double beta decay (the MAJORANA 76 Ge experiment) and a direct neutrino mass search...

  16. Advisor Overview Plans, Templates,

    E-Print Network [OSTI]

    Lawrence, Rick L.

    by using a student ID number, enter the student ID number in the Student ID box. Press Enter to process the request. DegreeWorks will begin a search for the student and a new page will open with the requested Select a Starting Term to choose the desired term. Click on the drop-down list of terms to select

  17. Opponent Exploitation Sam Ganzfried

    E-Print Network [OSTI]

    McLaren, Bruce Martin

    - information games ­ Small games · Kuhn poker [Hoehn et al. AAAI-05] · Rock-paper-scissors [McCracken & Bowling-generated features or priors [Hoehn et al. AAAI- 05, Southey et al UAI-05] ­ Assumed data about opponent's prior

  18. Congressmember Sam Farr

    E-Print Network [OSTI]

    Farmer, Ellen

    2010-01-01T23:59:59.000Z

    it, and that’s wheat, corn, beans, soybeans, rice, and thebut if you look at rice, beans, corn, soybeans, and wheat,

  19. ARM - Campaign Instrument - sam

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492air Comments? We would love to hear fromgovInstrumentssam Comments? We would love to hear from you! Send

  20. Mr. Leo H. ::sam

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLE OFDepartment ofDepartment of Energy A9, 201428,Leo

  1. Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models

    E-Print Network [OSTI]

    Roweis, Sam

    , Matthew J. Beal, and Sam T. Roweis Department of Computer Science University of Toronto Toronto, Ontario, . . . , xn-1), is generated according to some stochastic transition model. We observe y = (y0, . . . , yn-1), with each yt being generated from the corresponding xt according to some stochastic ob- servation process

  2. Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory

    E-Print Network [OSTI]

    Cicirello, Vincent A.

    such as heuristic-biased stochastic sam- pling (HBSS) and value-biased stochastic sampling (VBSS), whereinHeuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value@cs.cmu.edu Abstract. The success of stochastic algorithms is often due to their ability to effectively amplify

  3. Kinetic Modeling for a Semi-Interpenetrating Polymer Network (SIPN) Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Kinetic Modeling for a Semi-Interpenetrating Polymer Network (SIPN) Process Advisor: Lorenz T A ·Networking component Polymer A chain Linear Polymer B Grafted Polymer B Grafting/ Crosslinking site Fig 3 B ·Grafted chain ·Homo- polymer Part 2: Component A ·Networking component Polymer A chain Linear

  4. Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles

    E-Print Network [OSTI]

    Victoria, University of

    Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair electric vehicles, empirical fuel cell system data has been incorporated into the NREL's vehicle design and simulation tool, ADVISOR (ADvanced Vehicle SimulatOR), to predict the performance of a low-speed, fuel cell

  5. November 2010-Ph.D. in Biology. University of A Corua, Spain. Dr. J.M. Eirin-Lopez, advisor (Genetics, Evolution). July 2007-M.S. in Genetics and Biochemistry University of A Corua, Spain.

    E-Print Network [OSTI]

    Eirin Lopez, Jose Maria

    EDUCATION November 2010- Ph.D. in Biology. University of A Coruña, Spain. Dr. J.M. Eirin-Lopez, advisor (Genetics, Evolution). July 2007- M.S. in Genetics and Biochemistry University of A Coruña, Spain. July 2005- B.S. in Biology (honors). University of A Coruña, Spain. RESEARCH INTERESTS Marine Biology

  6. For questions or concerns during co-op call (585) 475--6219 (V/TTY) or e-mail your Employment Advisor in NCE. Everything You Always Wanted To Know About Co-ops

    E-Print Network [OSTI]

    Figer, Donald F.

    For questions or concerns during co-op call (585) 475--6219 (V/TTY) or e-mail your Employment Advisor in NCE. Everything You Always Wanted To Know About Co-ops Information for Students Is a co for the competitive working world after you graduate. · You must register for your co-op in SIS AND report it in RIT

  7. Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI

    E-Print Network [OSTI]

    Behmer, Spencer T.

    IDIS 403 2-2-3 Fluid Power Trans IDIS 400 3-3-4 Industrial Automation IDIS 300 3-3-4 Industrial given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 134 to 136 2011

  8. Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI

    E-Print Network [OSTI]

    Behmer, Spencer T.

    IDIS 403 2-2-3 Fluid Power Trans IDIS 400 3-3-4 Industrial Automation IDIS 300 3-3-4 Industrial given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 134-135 2011

  9. 982 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 5, MAY 2009 Bayesian Separation of Images Modeled

    E-Print Network [OSTI]

    on a statistical model of the gradient image, and we use a fully Bayesian method with modified-Gibbs sam- pling. We982 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 5, MAY 2009 Bayesian Separation of Images fields within a Bayesian framework. The Bayesian for- mulation enables the incorporation of prior image

  10. Modeling the spatial structure of debris disks S. Ertel (1), S. Wolf (1), C. Eiroa (2), J.-C. Augereau (3), S. Metchev (4), G. Schneider (5), M. D. Silverstone (6),

    E-Print Network [OSTI]

    Schneider, Glenn

    ) level around a volume limited sam- ple (d ]. Simultaneous modeling of images and SED reveals a heavy EKB analog and additional evidence for an inner disk-wavelength modeling (Fig. 3, Fig. 4) of high spatial resolution scattered light images, a resolved CARMA map at 1.3 mm

  11. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , - study of Friction Stir Welding. This work outlines how discrete element model can be a useful tool

  12. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Boyer, Edmond

    this version : Eric DUCASSE - Modeling principles for time-domain simulations of wind instruments in playing Administrator : archiveouverte@ensam.eu #12;Ducasse, E. (2002). "Modeling principles for time-domain simulations). Page 1 / 5 MODELING PRINCIPLES FOR TIME-DOMAIN SIMULATIONS OF WIND INSTRUMENTS IN PLAYING SITUATIONS

  13. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Boyer, Edmond

    (batch approach) and (2) building predictive24 models that could be the basis of an online control to design or optimise processes, machines,47 tools and wood preparation.48 Cutting models have been first in the literature concerning wood cutting forces permit to build models or18 to simulate the main wood machining

  14. arXiv:1312.0015v1[astro-ph.IM]29Nov2013 The stochastic nature of stellar population modelling

    E-Print Network [OSTI]

    arXiv:1312.0015v1[astro-ph.IM]29Nov2013 The stochastic nature of stellar population modelling of the sky so they will observe different stars; hence, you are sam- pling the sky with nsam elements, each

  15. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Boyer, Edmond

    this version : Emilie LE GUEN, Muriel CARIN, Rémy FABBRO, Frédéric COSTE, Philippe LE MASSON - 3D heat transfer model of hybrid laser Nd : Yag-MAG welding of a S355 steel and experimental validation - International

  16. Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI

    E-Print Network [OSTI]

    Behmer, Spencer T.

    & Ctrl Sys IDIS 403 2-2-3 Fluid Power Trans IDIS 400 3-3-4 Industrial Automation IDIS 300 3 given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 129 to 133 2006-3-4 Industrial Electricity IDIS 303 2-2-3 Mech Power Trans Tech Elec. 3 credits Choose from List IDIS 364/464 3

  17. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    in nuclear reactor vessels [1]. Mean field approaches are often used in designing heterogeneous materials-ray diffraction (XRD) Dislocations Carbides Micromechanical Modeling a b s t r a c t In situ tensile tests were tests were complemented by macroscopic tensile and reversible tensile-compression tests to study

  18. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , simulation, CNEM. Abstract : This work presents a numerical alternative for the laser drilling simulation process of the laser drilling and the modeling equations are clarified. Then a comparison between, drilling, simulation, CNEM. 1 Introduction La simulation d'un procédé d'usinage tel que le perçage laser en

  19. Science Arts & Mtiers (SAM) is an open access repository that collects the work of Arts et Mtiers ParisTech

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    stochastic model of anhysteretic non-linear B(H) curve is proposed for the ferromagnetic yokes of the stator of these five parameters on the flux linkage of one phase of the stator winding depending on the excitation) and investigate where the characterization process of the B(H) curve should focus to improve the accuracy

  20. Modeling Plasma Flow in a Magnetic Nozzle with the Lattice-Boltzmann Method

    E-Print Network [OSTI]

    Ebersohn, Frans Hendrik

    2010-07-14T23:59:59.000Z

    MODELING PLASMA FLOW IN A MAGNETIC NOZZLE WITH THE LATTICE-BOLTZMANN METHOD Major: Aerospace Engineering April 2010 Submitted to the Honors Programs Office Texas A&M University in partial fulfillment of the requirements... for the designation as HONORS UNDERGRADUATE RESEARCH FELLOW An Honors Fellows Thesis by FRANS HENDRIK EBERSOHN MODELING PLASMA FLOW IN A MAGNETIC NOZZLE WITH THE LATTICE-BOLTZMANN METHOD Approved by: Research Advisor: Jacques Richard Associate...

  1. System Advisor Model Includes Analysis of Hybrid CSP Option (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)

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

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

  2. The SAM Model for Wear Inhibitor Performance of Dithiophosphates on Iron Oxide Shaoyi Jiang, Rawls Frazier, Elaine S. Yamaguchi, Mario Blanco, Siddharth Dasgupta,

    E-Print Network [OSTI]

    Ã?agin, Tahir

    environmentally benign antiwear additives for lubricant oils. No reliable procedures have been developed of bench wear tests for evaluating the effectiveness of potential engine oil additives. Previously,7 we: March 12, 1997X Zinc dithiophosphate (DTP) molecules have long been used as wear inhibitor oil additives

  3. Modeling the environmental suitability of recreational trails in the Sam Houston National Forest: an application of spatial technologies and the universal soil loss equation

    E-Print Network [OSTI]

    Holzer, Damon Michael

    1997-01-01T23:59:59.000Z

    instances. Helgath (1975) was one of the first to cite trail erosion as being more heavily dependent upon physical features such as soil type and geology than use. Likewise, a study of trail erosion in the Great Smoky Mountains National Park found... topographic maps, and polygons were organized into similar LS values. Soil erodibility was processed through information provided in soil survey maps compiled by the Natural Resource Conservation Service (formerly the Soil Conservation Service). A sub...

  4. Statistical Modeling of Valley Fever Data in Kern County, California Jorge Talamantes (1), Sam Behseta (2), and Charles S. Zender (3)

    E-Print Network [OSTI]

    Zender, Charles

    such as cough, sputum, fever, and muscle aches; the remaining 15% become very ill with pneumonia-like symptoms

  5. Communication with U.S. federal decision makers : a primer with notes on the use of computer models as a means of communication.

    SciTech Connect (OSTI)

    Webb, Erik Karl; Tidwell, Vincent Carroll

    2009-10-01T23:59:59.000Z

    This document outlines ways to more effectively communicate with U.S. Federal decision makers by outlining the structure, authority, and motivations of various Federal groups, how to find the trusted advisors, and how to structure communication. All three branches of Federal governments have decision makers engaged in resolving major policy issues. The Legislative Branch (Congress) negotiates the authority and the resources that can be used by the Executive Branch. The Executive Branch has some latitude in implementation and prioritizing resources. The Judicial Branch resolves disputes. The goal of all decision makers is to choose and implement the option that best fits the needs and wants of the community. However, understanding the risk of technical, political and/or financial infeasibility and possible unintended consequences is extremely difficult. Primarily, decision makers are supported in their deliberations by trusted advisors who engage in the analysis of options as well as the day-to-day tasks associated with multi-party negotiations. In the best case, the trusted advisors use many sources of information to inform the process including the opinion of experts and if possible predictive analysis from which they can evaluate the projected consequences of their decisions. The paper covers the following: (1) Understanding Executive and Legislative decision makers - What can these decision makers do? (2) Finding the target audience - Who are the internal and external trusted advisors? (3) Packaging the message - How do we parse and integrate information, and how do we use computer simulation or models in policy communication?

  6. Personal Advisors Last Name First Name Personal Advisor

    E-Print Network [OSTI]

    Royal Holloway, University of London

    Diana Pedro Bordalo Barbier-Mueller Zoe Pedro Bordalo Barendson Lorenzo Pedro Bordalo Barnes James Pedro Maris Goldmanis Field Alexander Maris Goldmanis Fisayo Mary Maris Goldmanis Foley Amy Maris Goldmanis Vinay Nundlall Katz James Vinay Nundlall Khatami Sarah Vinay Nundlall Khositpaphada Raphiphorn Vinay

  7. Senior Technical Advisor (Physical Scientist)

    Broader source: Energy.gov [DOE]

    The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of...

  8. Senior Advisor for Cyber Security

    Broader source: Energy.gov [DOE]

    The mission of the Office of Electricity and Delivery and Energy Reliability (OE) is to lead national efforts to modernize the electric grid; increase grid capacity and reliability; improve energy...

  9. ULTRANS BOARD OF ADVISORS Biographies

    E-Print Network [OSTI]

    California at Davis, University of

    emphasized establishing sustainable infrastructure solutions that reflected community values and upheld. Albright received a B.S. degree in landscape architecture from California Polytechnic State University to advance sustainable urban planning, promote transit, build affordable housing, and protect natural

  10. Training Advisor | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 - JanuaryTankToledo, Ohio, Data DashboardToolsTrack CTraction

  11. Intel® Advisor XE

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

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

  12. Sam Moskowitz A Preliminary Bibliography

    E-Print Network [OSTI]

    Hall, Hal W.

    2010-08-24T23:59:59.000Z

    : Westport, Conn., Hyperion Press, 1974, 353 p.; Reprinted as: Esploratori dell'infinito, Editrice Nord?, 1980 (Italian). Contents: Introduction; 1. Cyrano de Bergerac: Swordsman of Space; 2. The Sons of Frankenstein; 3. The Prophetic Edgar Allan....G. Wells; 9. The World, the Devil, and M.P. Shiel; 10. Arthur Conan Doyle: a Study in Science Fiction; 11. To Barsoom and Back with Edgar Rice Burroughs; 12. The Marvelous A. Merritt; 13. Karel Capek: the Page 4 of 57 Man Who Invented Robots; 14. Hugo...

  13. Sam Moskowitz: A Preliminary Bibliography

    E-Print Network [OSTI]

    Hall, Hal W.

    2010-08-17T23:59:59.000Z

    : Westport, Conn., Hyperion Press, 1974, 353 p.; Reprinted as: Esploratori dell'infinito, Editrice Nord?, 1980 (Italian). Contents: Introduction; 1. Cyrano de Bergerac: Swordsman of Space; 2. The Sons of Frankenstein; 3. The Prophetic Edgar Allan....G. Wells; 9. The World, the Devil, and M.P. Shiel; 10. Arthur Conan Doyle: a Study in Science Fiction; 11. To Barsoom and Back with Edgar Rice Burroughs; 12. The Marvelous A. Merritt; 13. Karel Capek: the Page 4 of 57 Man Who Invented Robots; 14. Hugo...

  14. Sam Moskowitz: A Preliminary Bibliography

    E-Print Network [OSTI]

    Hall, Hal W.

    2010-08-18T23:59:59.000Z

    : Westport, Conn., Hyperion Press, 1974, 353 p.; Reprinted as: Esploratori dell'infinito, Editrice Nord?, 1980 (Italian). Contents: Introduction; 1. Cyrano de Bergerac: Swordsman of Space; 2. The Sons of Frankenstein; 3. The Prophetic Edgar Allan....G. Wells; 9. The World, the Devil, and M.P. Shiel; 10. Arthur Conan Doyle: a Study in Science Fiction; 11. To Barsoom and Back with Edgar Rice Burroughs; 12. The Marvelous A. Merritt; 13. Karel Capek: the Page 4 of 57 Man Who Invented Robots; 14. Hugo...

  15. System for Award Management (SAM):

    Office of Environmental Management (EM)

    Register or Update Entity Get contractsgrants and get paid (after you compete and win...that's another session) CREATE A USER ACCOUNT Several screens. Security questions....

  16. System for Award Management (SAM):

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

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

  17. Performance Optimization of an Internal Combustion Engine Team: David Apgood, Cameron Blaylock, Joshua Crump, Tyler Kolste, Aaron Jorgensen, Brett Sampson; Advisors: Drs. Eric Pardyjak, Samuel Drake

    E-Print Network [OSTI]

    Provancher, William

    the restrictor nozzle and naturally-aspirated system using industry-standard software - Verify the simulation the restrictor nozzle and the turbocharger - Use the simulation model to make design decisions - Validate to the engine. A nozzle was chosen as a method to optimize the flow through the required 20mm restriction

  18. Digital Elevation Models for the Chajnantor Site

    E-Print Network [OSTI]

    Groppi, Christopher

    areas, and Holdaway (1994) obtained a DEM for Mauna Kea. The DEMs are easily converted into FITS images with a 60% overlap. Photogrammetry can make a stereographic image of the earth's surface in the overlapping or SAM 56 datum). The South America 1969 geodetic datum (SAM 69) is the current standard in Chile, but we

  19. Development of Ensemble Neural Network Convection Parameterizations for Climate Models

    SciTech Connect (OSTI)

    Fox-Rabinovitz, M. S.; Krasnopolsky, V. M.

    2012-05-02T23:59:59.000Z

    The novel neural network (NN) approach has been formulated and used for development of a NN ensemble stochastic convection parametrization for climate models. This fast parametrization is built based on data from Cloud Resolving Model (CRM) simulations initialized with and forced by TOGA-COARE data. The SAM (System for Atmospheric Modeling), developed by D. Randall, M. Khairoutdinov, and their collaborators, has been used for CRM simulations. The observational data are also used for validation of model simulations. The SAM-simulated data have been averaged and projected onto the GCM space of atmospheric states to implicitly define a stochastic convection parametrization. This parametrization is emulated using an ensemble of NNs. An ensemble of NNs with different NN parameters has been trained and tested. The inherent uncertainty of the stochastic convection parametrization derived in such a way is estimated. Due to these inherent uncertainties, NN ensemble is used to constitute a stochastic NN convection parametrization. The developed NN convection parametrization have been validated in a diagnostic CAM (CAM-NN) run vs. the control CAM run. Actually, CAM inputs have been used, at every time step of the control/original CAM integration, for parallel calculations of the NN convection parametrization (CAM-NN) to produce its outputs as a diagnostic byproduct. Total precipitation (P) and cloudiness (CLD) time series, diurnal cycles, and P and CLD distributions for the large Tropical Pacific Ocean for the parallel CAM-NN and CAM runs show similarity and consistency with the NCEP reanalysis. The P and CLD distributions for the tropical area for the parallel runs have been analyzed first for the TOGA-COARE boreal winter season (November 1992 through February 1993) and then for the winter seasons of the follow-up parallel decadal simulations. The obtained results are encouraging and practically meaningful. They show the validity of the NN approach. This constitutes an important practical conclusion of the study: the obtained results on NN ensembles as a stochastic physics parametrization show a realistic possibility of development of NN convection parametrization for climate (and NWP) models based on learning cloud physics from CRM/SAM simulated data.

  20. Combining semi-analytic models with simulations of galaxy clusters: the need for AGN heating

    E-Print Network [OSTI]

    Short, C J

    2008-01-01T23:59:59.000Z

    [Abridged] We investigate the effect of energy feedback from galaxies on the intracluster medium (ICM) using a novel approach that couples a non-radiative cosmological hydrodynamical N-body simulation to a semi-analytic model (SAM) of galaxy formation. The SAM we employ is the Munich L-Galaxies model presented by De Lucia & Blaizot (2007). For each model galaxy, we calculate the energy returned to the ICM by Type II supernovae (SNe) and active galactic nuclei (AGN) and inject it into the gas component of the simulation at the appropriate location and time. To assess the impact of this feedback on the ICM, we focus on two key observables of galaxy groups and clusters: the X-ray luminosity-temperature (L-T) relation and the halo gas fraction. Using a suite of test simulations, we demonstrate that the level of stellar and AGN feedback predicted by L-Galaxies is insufficient to explain the observational data. This is because the energy liberated by quiescent 'radio' mode accretion onto the central black hole ...

  1. DOE International Energy Advisors | Department of Energy

    Office of Environmental Management (EM)

    Scott Air Force Base, IL USAFRICOM: U.S. Africa Command Kelley Barracks, Stuttgart, Germany USCENTCOM: U.S. Central Command MacDill Air Force Base, FL USEUCOM: U.S. European...

  2. Major/Conce ntration Advisor Grad

    E-Print Network [OSTI]

    Wang, Tao Yu, and Shiyu Zhou Versatile Networkable Robot Embedded E lectrical and Computer Systems Dr Intensive Application Computer Science Dr. Dragutin Petkovic, Mike Wong, and Dr Ljubomir Buturovic g John

  3. Mission Science Common Supplies Request Advisor______________________________ School________________________

    E-Print Network [OSTI]

    Wang, Hai

    , card stock Paper, plain Propellers, black Propellers, red PVC elbow PVC pipe PVC tee Tape, electrical

  4. Senior Technical Advisor (Biologist/Physical Scientist)

    Broader source: Energy.gov [DOE]

    The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of...

  5. NPS Board of Advisors Installation Update

    E-Print Network [OSTI]

    10 #12;11 King Hall Renovation #12;Parking Lot A Plan 12 Increase of 59 spots #12;Parking Lot A #12;Parking Lot D Plan 14 Increase of 5 spots #12;15 Parking Lot D #12;Menneken Loop Project 16 #12;Herrmann ModernizationRenovate B245 B220 Exterior Repairs Parking Campus Ped Path Sloat Gate Boiler #1 Replacement B232/B

  6. *Dissertation Advisors: 1 Aggeliki Arapoyianni, Professor 1

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    it directly affects their lifetime and proper function, making the common way of powering (batteries) quite

  7. Sarah Deisher, Academic Advisor Mechanical Engineering Ambassadors

    E-Print Network [OSTI]

    Virginia Tech

    salary Winter Baja Competition #12;#12;Plan of Study & DARS Plan of Study · Pathways Planner (Hokie Reporting System (DARS) · On Hokie Spa, it is highly recommended that you RUN A "what if" DARS for the major you desire to enter http://www.registrar.vt.edu/academic_records/dars/index.html to MAKE SURE you

  8. A design advisor for future CAD systems

    E-Print Network [OSTI]

    Vijay, Sarathy P.

    1990-01-01T23:59:59.000Z

    Bedford for their help. TABLE OF CONTENTS CHAPTER Page I INTRODUCTION . , II REPRESENTATION FOR DESIGN OBJECTS . . The Design Process What Is CAD and How It Helps in Design? . Representation Issues Growth of CAD and Inadequacy of Current.... This will help designers realize the issues they need to tackle, up front, thus reducing the number of a, ctual iterations in design. There are many other uses for such a tool. For example, most areas of Mechanical Engineering design have a set of established...

  9. Faculty and Advisor Self Service Guide

    E-Print Network [OSTI]

    Cui, Yan

    ;5/3/10 4 Student Information- You may Search using a Student's ID or Name here also. By entering a Name, their academic transcript, etc. Student Information Quick Reference Term Selection- Allows you to select a term to be the default for your current session of Self-Service. This term will carry through until you are prompted

  10. Miriam M. Padilla Advisor: Prof. J. Benziger

    E-Print Network [OSTI]

    Petta, Jason

    be depleted, considering the growth of energy demand. One solution is hydrogen. The aim for the hydrogen power sources that convert the chemical energy released when the hydrogen and oxygen combine to form. There are several ways to produced hydrogen, but the most used is stream reforming. It produces H on a industrial

  11. Capitaline Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSL GasPermits ManualCanisteo,Verde: Energy ResourcesCapitaline

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    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms A SUKHydrogen Company JumpGreenchoiceGreenland

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to:ID8/OrganizationTechProbSolutionsPublic

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategyHayesHeliofiles

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History ViewTexas: EnergyWind Power Jump

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  17. Richard Gerber! NERSC Senior Science Advisor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3 TheRichardDeputy Group9,

  18. Richard Gerber! NERSC Senior Science Advisor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3 TheRichardDeputy

  19. Starlight Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

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  20. Continuous Diagnostics Advisor | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005)ConservationLSC HydrodynamicContinuous

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs and Heat Islands Jump to:Coppell, Texas:

  2. Cora Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs and Heat Islands Jump to:Coppell, Texas:Cora Capital

  3. Sams Energy Academy: Education for sustainable development

    E-Print Network [OSTI]

    Kolaei, Alireza Rezania

    , biomass for district heating etc. #12;· From importing to exporting energy · International magnet efficient turbines · Replace fossil fuel for heating with district heating and heat pumps · Replace cars

  4. ARM - Field Campaign - CLASIC - SAM Support

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li

  5. SAMS Overview | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14 FEDERALAmerica High EnergyNationalSpring 2014 NationalFall

  6. Sam Barnett | Photosynthetic Antenna Research Center

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

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

  7. Geralyn "Sam" Zeller

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heat Pump Basics GeothermalGerald F. Tape,

  8. Geralyn "Sam" Zeller

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heat Pump Basics GeothermalGerald F. Tape,Useful

  9. Geralyn "Sam" Zeller

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heat Pump Basics GeothermalGerald F.

  10. Modeling of a Parabolic Trough Solar Field for Acceptance Testing: A Case Study

    SciTech Connect (OSTI)

    Wagner, M. J.; Mehos, M. S.; Kearney, D. W.; McMahan, A. C.

    2011-01-01T23:59:59.000Z

    As deployment of parabolic trough concentrating solar power (CSP) systems ramps up, the need for reliable and robust performance acceptance test guidelines for the solar field is also amplified. Project owners and/or EPC contractors often require extensive solar field performance testing as part of the plant commissioning process in order to ensure that actual solar field performance satisfies both technical specifications and performance guaranties between the involved parties. Performance test code work is currently underway at the National Renewable Energy Laboratory (NREL) in collaboration with the SolarPACES Task-I activity, and within the ASME PTC-52 committee. One important aspect of acceptance testing is the selection of a robust technology performance model. NREL1 has developed a detailed parabolic trough performance model within the SAM software tool. This model is capable of predicting solar field, sub-system, and component performance. It has further been modified for this work to support calculation at subhourly time steps. This paper presents the methodology and results of a case study comparing actual performance data for a parabolic trough solar field to the predicted results using the modified SAM trough model. Due to data limitations, the methodology is applied to a single collector loop, though it applies to larger subfields and entire solar fields. Special consideration is provided for the model formulation, improvements to the model formulation based on comparison with the collected data, and uncertainty associated with the measured data. Additionally, this paper identifies modeling considerations that are of particular importance in the solar field acceptance testing process and uses the model to provide preliminary recommendations regarding acceptable steady-state testing conditions at the single-loop level.

  11. Conversion of the Bryan Mound geological site characterization reports to a three-dimensional model.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Rautman, Christopher Arthur

    2005-04-01T23:59:59.000Z

    The Bryan Mound salt dome, located near Freeport, Texas, is home to one of four underground crude oil-storage facilities managed by the U. S. Department of Energy Strategic Petroleum Reserve (SPR) Program. Sandia National Laboratories, as the geotechnical advisor to the SPR, conducts site-characterization investigations and other longer-term geotechnical and engineering studies in support of the program. This report describes the conversion of two-dimensional geologic interpretations of the Bryan Mound site into three-dimensional geologic models. The new models include the geometry of the salt dome, the surrounding sedimentary units, mapped faults, and the 20 oil-storage caverns at the site. This work provides an internally consistent geologic model of the Bryan Mound site that can be used in support of future work.

  12. Conversion of the Big Hill geological site characterization report to a three-dimensional model.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Rautman, Christopher Arthur

    2003-02-01T23:59:59.000Z

    The Big Hill salt dome, located in southeastern Texas, is home to one of four underground oil-storage facilities managed by the U. S. Department of Energy Strategic Petroleum Reserve (SPR) Program. Sandia National Laboratories, as the geotechnical advisor to the SPR, conducts site-characterization investigations and other longer-term geotechnical and engineering studies in support of the program. This report describes the conversion of two-dimensional geologic interpretations of the Big Hill site into three-dimensional geologic models. The new models include the geometry of the salt dome, the surrounding sedimentary units, mapped faults, and the 14 oil storage caverns at the site. This work provides a realistic and internally consistent geologic model of the Big Hill site that can be used in support of future work.

  13. Conversion of the West Hackberry geological site characterization report to a three-dimensional model.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Rautman, Christopher Arthur; Snider, Anna C.

    2004-08-01T23:59:59.000Z

    The West Hackberry salt dome, in southwestern Louisiana, is one of four underground oil-storage facilities managed by the U. S. Department of Energy Strategic Petroleum Reserve (SPR) Program. Sandia National Laboratories, as the geotechnical advisor to the SPR, conducts site-characterization investigations and other longer-term geotechnical and engineering studies in support of the program. This report describes the conversion of two-dimensional geologic interpretations of the West Hackberry site into three-dimensional geologic models. The new models include the geometry of the salt dome, the surrounding sedimentary layers, mapped faults, and a portion of the oil storage caverns at the site. This work provides a realistic and internally consistent geologic model of the West Hackberry site that can be used in support of future work.

  14. Utility of Social Modeling for Proliferation Assessment - Preliminary Assessment

    SciTech Connect (OSTI)

    Coles, Garill A.; Gastelum, Zoe N.; Brothers, Alan J.; Thompson, Sandra E.

    2009-06-01T23:59:59.000Z

    This Preliminary Assessment draft report will present the results of a literature search and preliminary assessment of the body of research, analysis methods, models and data deemed to be relevant to the Utility of Social Modeling for Proliferation Assessment research. This report will provide: 1) a description of the problem space and the kinds of information pertinent to the problem space, 2) a discussion of key relevant or representative literature, 3) a discussion of models and modeling approaches judged to be potentially useful to the research, and 4) the next steps of this research that will be pursued based on this preliminary assessment. This draft report represents a technical deliverable for the NA-22 Simulations, Algorithms, and Modeling (SAM) program. Specifically this draft report is the Task 1 deliverable for project PL09-UtilSocial-PD06, Utility of Social Modeling for Proliferation Assessment. This project investigates non-traditional use of social and cultural information to improve nuclear proliferation assessment, including nonproliferation assessment, proliferation resistance assessments, safeguards assessments and other related studies. These assessments often use and create technical information about the State’s posture towards proliferation, the vulnerability of a nuclear energy system to an undesired event, and the effectiveness of safeguards. This project will find and fuse social and technical information by explicitly considering the role of cultural, social and behavioral factors relevant to proliferation. The aim of this research is to describe and demonstrate if and how social science modeling has utility in proliferation assessment.

  15. Heteronormativity in the Texas Oil Patch: The Impact of Practices, Policies, and Curriculum on Gay White Students in the Texas Public School System 

    E-Print Network [OSTI]

    Thorson, Michael Andrew

    2014-11-06T23:59:59.000Z

    ............................................................................................................... 103 Sam ..................................................................................................................... 105 Francis...

  16. # Project Title Pre-requisites Advisor(s) Control of a DC Motor Drive: Design and

    E-Print Network [OSTI]

    Masoudi, Husain M.

    recognition in ARAMCO plants Dr. M. Deriche 23 Securing Industrial Wireless Networks Assigned Dr. Asrar Sheikh

  17. Masters Degrees Name Major Advisor Associate Advisors Date of Completion Date of Conferral

    E-Print Network [OSTI]

    Lozano-Robledo, Alvaro

    . Johnson, Bruce McK. June, 1966 Atwood, Lois M. Zahl, Samuel June, 1967 Harrington, Leigh Posten, Harry O, 1968 Tu, Ching-tsao Johnson, Bruce McK. June, 1968 Tu, Heitsu Chou Smith, H. Fairfield June, 1968 Stead, 1970 Powers, William A., III Posten, Harry O. June, 1970 Fridshal, Richard Johnson, Bruce McK. June

  18. When to See an Advisor (Or Not) You should see an advisor for

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    for courses you took before you enrolled at Binghamton. DARS exceptions for transfer courses and courses.edu/economics/undergraduate/documents/Change_of_Major_Form.doc A repeated course that is not counting on your DARS ­ go to Harpur Advising at https

  19. Current and Future Costs for Parabolic Trough and Power Tower Systems in the US Market: Preprint

    SciTech Connect (OSTI)

    Turchi, C.; Mehos, M.; Ho, C. K.; Kolb, G. J.

    2010-10-01T23:59:59.000Z

    NREL's Solar Advisor Model (SAM) is employed to estimate the current and future costs for parabolic trough and molten salt power towers in the US market. Future troughs are assumed to achieve higher field temperatures via the successful deployment of low melting-point, molten-salt heat transfer fluids by 2015-2020. Similarly, it is assumed that molten salt power towers are successfully deployed at 100MW scale over the same time period, increasing to 200MW by 2025. The levelized cost of electricity for both technologies is predicted to drop below 11 cents/kWh (assuming a 10% investment tax credit and other financial inputs outlined in the paper), making the technologies competitive in the marketplace as benchmarked by the California MPR. Both technologies can be deployed with large amounts of thermal energy storage, yielding capacity factors as high as 65% while maintaining an optimum LCOE.

  20. Statistics Page 233Sonoma State University 2012-2013 Catalog DEPARTMENT OF MATHEMATICS AND STATISTICS

    E-Print Network [OSTI]

    Ravikumar, B.

    Statistics Page 233Sonoma State University 2012-2013 Catalog STATISTICS DEPARTMENT OF MATHEMATICS AND STATISTICS Darwin Hall 114 phone: (707) 664-2368 fax: (707) 664-3535 www.sonoma.edu/math DEPARTMENT CHAIR Sam Brannen STATISTICS PROGRAM ADVISORS Susan Herring Elaine McDonald-Newman Scott Nickleach ADMINISTRATIVE

  1. Spent nuclear fuel reprocessing modeling

    SciTech Connect (OSTI)

    Tretyakova, S.; Shmidt, O.; Podymova, T.; Shadrin, A.; Tkachenko, V. [Bochvar Institute, 5 Rogova str., Moscow 123098 (Russian Federation); Makeyeva, I.; Tkachenko, V.; Verbitskaya, O.; Schultz, O.; Peshkichev, I. [Russian Federal Nuclear Center - VNIITF E.I. Zababakhin, p.o.box 245, Snezhinsk, 456770 (Russian Federation)

    2013-07-01T23:59:59.000Z

    The long-term wide development of nuclear power requires new approaches towards the realization of nuclear fuel cycle, namely, closed nuclear fuel cycle (CNFC) with respect to fission materials. Plant nuclear fuel cycle (PNFC), which is in fact the reprocessing of spent nuclear fuel unloaded from the reactor and the production of new nuclear fuel (NF) at the same place together with reactor plant, can be one variant of CNFC. Developing and projecting of PNFC is a complicated high-technology innovative process that requires modern information support. One of the components of this information support is developed by the authors. This component is the programme conducting calculations for various variants of process flow sheets for reprocessing SNF and production of NF. Central in this programme is the blocks library, where the blocks contain mathematical description of separate processes and operations. The calculating programme itself has such a structure that one can configure the complex of blocks and correlations between blocks, appropriate for any given flow sheet. For the ready sequence of operations balance calculations are made of all flows, i.e. expenses, element and substance makeup, heat emission and radiation rate are determined. The programme is open and the block library can be updated. This means that more complicated and detailed models of technological processes will be added to the library basing on the results of testing processes using real equipment, in test operating mode. The development of the model for the realization of technical-economic analysis of various variants of technologic PNFC schemes and the organization of 'operator's advisor' is expected. (authors)

  2. Paul Kepley

    E-Print Network [OSTI]

    2014-08-15T23:59:59.000Z

    Worked on telescope modelling/optimization software. Advisor: James Buckley ... Programming Languages: C, Python, and some C++. Software: Matlab.

  3. Academic Unit of Clinical Oncology, School of Medicine with the Intelligent Modelling and Analysis Research

    E-Print Network [OSTI]

    Aickelin, Uwe

    that automating nTreg analysis with the SamSPECTRAL algorithm is superior to baseline k-means clustering and traditional manual gating was investigated. SamSPECTRAL was qualitatively better than k-means in clustering nSPECTRAL to include an automated elliptical gating step allowed for i #12;comparison of test and control datasets

  4. Water Use in Parabolic Trough Power Plants: Summary Results from WorleyParsons' Analyses

    SciTech Connect (OSTI)

    Turchi, C. S.; Wagner, M. J.; Kutscher, C. F.

    2010-12-01T23:59:59.000Z

    The National Renewable Energy Laboratory (NREL) contracted with WorleyParsons Group, Inc. to examine the effect of switching from evaporative cooling to alternative cooling systems on a nominal 100-MW parabolic trough concentrating solar power (CSP) plant. WorleyParsons analyzed 13 different cases spanning three different geographic locations (Daggett, California; Las Vegas, Nevada; and Alamosa, Colorado) to assess the performance, cost, and water use impacts of switching from wet to dry or hybrid cooling systems. NREL developed matching cases in its Solar Advisor Model (SAM) for each scenario to allow for hourly modeling and provide a comparison to the WorleyParsons results.Our findings indicate that switching from 100% wet to 100% dry cooling will result in levelized cost of electricity (LCOE) increases of approximately 3% to 8% for parabolic trough plants throughout most of the southwestern United States. In cooler, high-altitude areas like Colorado's San Luis Valley, WorleyParsons estimated the increase at only 2.5%, while SAM predicted a 4.4% difference. In all cases, the transition to dry cooling will reduce water consumption by over 90%. Utility time-of-delivery (TOD) schedules had similar impacts for wet- and dry-cooled plants, suggesting that TOD schedules have a relatively minor effect on the dry-cooling penalty.

  5. Surface vibrations in alkanethiol self-assembled monolayers of varying chain length

    E-Print Network [OSTI]

    Sibener, Steven

    studied extensively for over a decade.1­5 The strong interest in SAMs comes from their robust potential for many chemical, physical, and bio- logical applications. The surface chemistry and structure of a SAM sensor applications.6­8 Al- kanethiol SAMs in particular have been studied as a model system for self

  6. A Link Loss Model for the On-body Propagation Channel for Binaural Hearing Aids

    E-Print Network [OSTI]

    Chandra, Rohit

    2013-01-01T23:59:59.000Z

    Binaural hearing aids communicate with each other through a wireless link for synchronization. A propagation model is needed to estimate the ear-to-ear link loss for such binaural hearing aids. The link loss is a critical parameter in a link budget to decide the sensitivity of the transceiver. In this paper, we have presented a model for the deterministic component of the ear-to-ear link loss. The model takes into account the dominant paths having most of the power of the creeping wave from the transceiver in one ear to the transceiver in other ear and the effect of the protruding part of the outer ear called pinna. Simulations are done to validate the model using in-the-ear (ITE) placement of antennas at 2.45 GHz on two heterogeneous phantoms of different age-group and body size. The model agrees with the simulations. The ear-to-ear link loss between the antennas for the binaural hearing aids in the homogeneous SAM phantom is compared with a heterogeneous phantom. It is found that the absence of the pinna an...

  7. Student Advisor Job Description The Student Advisor position is a part-time, 9-month position. The Student Advisor reports to and is under

    E-Print Network [OSTI]

    Gering, Jon C.

    Hall house functions effectively. Frequent interaction with students of high quality is also maintained semester. Additionally, student staff may use one bulletin board per semester as a passive program. To receive credit for this passive program they must complete a programming worksheet and discuss

  8. Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data

    SciTech Connect (OSTI)

    Freeman, J.; Whitmore, J.; Blair, N.; Dobos, A. P.

    2014-08-01T23:59:59.000Z

    This report expands upon a previous work by the same authors, published in the 40th IEEE Photovoltaic Specialists conference. In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within +/-8% and hourly root mean squared errors less than 7% for all systems. It is further shown using SAM that module model and irradiance input choices can change the annual error with respect to measured data by as much as 6.6% for these nine systems, although all combinations examined still fall within an annual error range of +/-8.5%. Additionally, a seasonal variation in monthly error is shown for all tools. Finally, the effects of irradiance data uncertainty and the use of default loss assumptions on annual error are explored, and two approaches to reduce the error inherent in photovoltaic modeling are proposed.

  9. Comparative survey on non linear filtering methods : the quantization and the particle filtering approaches

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , importance sam- pling, Kalman filter, stochastic volatility, infinite dimension filter. 1 Introduction We models: the Kalman filter case, the canonical stochastic volatility model and the infinite dimension

  10. advisor system amas: Topics by E-print Network

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

    P. Georgiadis, Professor. Adaptive Educational Hypermedia Systems on the Web for the Didactics Computer Technologies and Information Sciences Websites Summary: Dissertation...

  11. advisors llc engage: Topics by E-print Network

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

    interplay to look outside of MCW-National Benchmarks 12;Task Force Members Dr. Kellie Brown Dr. William Campbell Dr. Paula Traktman Dr. David Warltier 12;Task Force Objectives...

  12. oZONE Faculty and Staff Advisor Tools channel

    E-Print Network [OSTI]

    Oklahoma, University of

    or name. Enter the Sooner ID of the student or advisee for whom you wish to search Or Query by last name in this channel. X #12;Term Selection Select a specific term from the list of available terms. Once you have selected a term and navigate to a different item on the menu that term will display under your name

  13. Amigo Bob Cantisano: Organic Farming Advisor, Founder, Ecological Farming Conference

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    which was held in La Honda in 1981. Amigo Bob Cantisano pagethis YMCA camp in La Honda, up above Palo Alto. Rabkin:

  14. 617 496 4485 Name Date Advisor Dissertation Title

    E-Print Network [OSTI]

    Economic Growth in India" Kaur, Supreet Jun-12 Mullainathan "Essays in Institutional Economics" Ganser, Tim Policy and the Mid-century Transformation in U.S. Housing Markets" Donchev, Dilyan Jun-09 Frieden "Essays in Developing Countries" Rose, Shanna Jun-05 Alt "Essays in Institutions and Fiscal Policy in the American

  15. Student Name Advisor Abdellah-El-Hadj, Amine Feng Liu

    E-Print Network [OSTI]

    Mease, Kenneth D.

    Hernandez Gaitan, Franz Hugolino Roger Rangel Horne, Jeremy Ryan Hosford, Kyle Scott Samuelsen Hovakimyan Mease Marti Duran, Ferran Derek Dunn-Rankin Mayoral, Salvador Dimitri Papamoschou #12;Mclarty, Dustin

  16. NAME ADVISOR Abdellah-El-Hadj, Amine Liu

    E-Print Network [OSTI]

    Mease, Kenneth D.

    Vladevit Grustan, Enric Gamero-Castano Gundevia, Mehernosh Wang Henry, Jack Courses only Hernandez, Franz, Ferran Gamero-Castano Martinez, Andrew Samuelsen Mayoral, Salvador Papamoschou Mclarty, Dustin Samuelsen

  17. advisors meeting minutes: Topics by E-print Network

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

    5:30PM 6:00PM; Conference Room, 6th Biology and Medicine Websites Summary: . Christian Hernandez - Community VP i. Unable to attend meeting ii. There will be a Tiger Run...

  18. Electron Cyclotron Emission Radiometer Cristina Morales, Advisor: Dr. John Rodgers,

    E-Print Network [OSTI]

    Anlage, Steven

    such as magnetic reconnection and plasma focus experiments ·Acknowledgments ·MCX Group ·William Young, Carlos

  19. amaranth advisors llc: Topics by E-print Network

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

    could increaseSeneca Creek Associates, LLC Wood Resources International, LLC "Illegal" Logging and Global Wood Markets: The Competitive Impacts on the U.S. Wood Products...

  20. advisor expert system: Topics by E-print Network

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

    Management System Computer Technologies and Information Sciences Websites Summary: @turing.scs.carleton.ca Andrzej Bieszczad Bell Northern Research Ottawa, Ontario K1Y 4H7...

  1. Amigo Bob Cantisano: Organic Farming Advisor, Founder, Ecological Farming Conference

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    a gardener, and she was into composting. I remember she grewGrandma taught me about composting, I didn’t know about theand focusing on composting, and diversified production, and

  2. Kenneth W. Bible Chief Technology Advisor/C4

    E-Print Network [OSTI]

    issues surrounding hazardous and radioactive waste streams contributed substantively to the successful Assessment Protocol (PMAP) program and, as part of that team, was awarded the Chief of Naval Operations (CNO

  3. Written Statement of David Huizenga Senior Advisor for Environmental...

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

    to resolve the issues associated with criticality, hydrogen generation, erosioncorrosion, and tank mixing issues. Technical teams developed as a result of this review draw...

  4. An expert system advisor for well log quality control

    E-Print Network [OSTI]

    Warnken, Dean Kennedy

    1988-01-01T23:59:59.000Z

    funda- mental tool in the evaluation of petroleum reservoirs. Wireline well logging involves undergrourR measurement of various rock and fluid properties. These meas~ts are usually recorded with a downhole sonde and ~tted to the surface through a... expert systems, has proven to be an effective com- puterized problem solving tool in many oilfield applications. Expert systems strive to mimic an ~'s reasoning process when performing a highly specialized task. Expert system problem solvirg combines...

  5. Student Organization Advisor Resource Packet Developed September 2008

    E-Print Network [OSTI]

    Scharer, John E.

    Direct calls about rentals to main office Wisconsin Elks/Easter Seals Respite Camp 1550 Waubeek Road Wisconsin Dells, WI 53965 6082542502 Direct calls about rentals to main office Main Office 101 Nob Hill

  6. Graduate Advisor Workshop Office of Graduate and Professional Studies

    E-Print Network [OSTI]

    #12; Offered on a monthly basis. Students register at dars.tamu.edu Testing in August and January are departments using new, first- semester international graduate students as GATs. The department will send DARS

  7. Department of Geosciences, Oregon State University Advisor: Hannah Gosnell

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    ) · Vegetation Development Dynamics Tool (VDDT) · Tool for Exploratory Landscape Scenario Analysis (TELSA) Data

  8. Amigo Bob Cantisano: Organic Farming Advisor, Founder, Ecological Farming Conference

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    partner, Seth. He was an apprentice here in’01, ’02 and partwho was a pretty good apprentice, who I graduated to a farmI’m noticing it from the apprentices. I’m noticing, all of a

  9. Interim Department Head Academic Advisor/Graduate Coordinator

    E-Print Network [OSTI]

    Holliday, Vance T.

    /repair of mass spectrometers 6. Chemistry and general research support Ben McElhaney Electrical Technician (0. Graduate student support 2. Undergraduate student support, Field Camp 3. Funding, scholarships, TA's, & RA

  10. Amigo Bob Cantisano: Organic Farming Advisor, Founder, Ecological Farming Conference

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    all those land grants illegal because, reputedly, they didn’Sacramento involved in running illegal wine. It was part ofeight percent of them are illegal. We asked this Central

  11. Mathilde LE ROUX Advisor: Dr M. R. COLLINS

    E-Print Network [OSTI]

    , Goethite...) · ZVI (mostly since 1999) Efficiency generally more than 95% Kinetic Anions competition

  12. NATURE REVIEWS | GENETICS VOLUME 5 | JUNE 2004 | 405 HIGHLIGHT ADVISORS

    E-Print Network [OSTI]

    OF QUEENSLAND, AUSTRALIA LEONID KRUGLYAK FRED HUTCHINSON CANCER RESEARCH CENTER, USA STANLEY MALOY SAN DIEGO STATE UNIVERSITY, USA BARBARA MEYER UNIVERSITY OF CALIFORNIA, BERKELEY, USA JOHN QUAKENBUSH

  13. Christina Behr-Andres named science advisor to governor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccessAlamosCharacterization ofChemistry and FigureChooseChris

  14. ORISE: Chemical Stockpile Emergency Preparedness Program Training Advisor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire3627 FederalTransformers1 DIRECTORJoethe U.S. atand

  15. Air and Liquid Advisors ALA | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE JumpAeroWindcapitalInformationChemicals Inc Jump

  16. Written Statement of David Huizenga Senior Advisor for Environmental Management

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2UraniumEnergy City of Atlanta Workplace ChargingWorldWrap Up: 2013House of

  17. Written Statement of David Huizenga Senior Advisor for Environmental Management

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2UraniumEnergy City of Atlanta Workplace ChargingWorldWrap Up: 2013House

  18. Senior Advisor David Huizenga's Written Statement Before the Subcommittee

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory10 MarchEnergy April30,Department

  19. Senior Advisor Huizenga's Written Statement before the House Armed Services

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory10 MarchEnergy

  20. Senior Advisor Huizenga's Written Statement before the House Energy and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory10 MarchEnergyWater Development

  1. Senior Advisor Huizenga's Written Statement before the Senate Armed

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of Energy Advisory10 MarchEnergyWater

  2. Written Statement of David Huizenga Senior Advisor for Environmental

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting Strong,Women @Join theGeothermal Energy

  3. Written Statement of David Huizenga Senior Advisor for Environmental

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting Strong,Women @Join theGeothermal EnergyManagement United

  4. Richard Gerber! NERSC Senior Science Advisor! NERSC Training Lead

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3

  5. Richard Gerber! NERSC Senior Science Advisor! User Services Group Lead

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3User Services Deputy

  6. DB Climate Change Advisors DBCCA | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs andCrops Ltd Jump to: navigation, search Name:DB

  7. CSC2515 Machine Learning Sam Roweis Classification I

    E-Print Network [OSTI]

    Roweis, Sam

    on structure learning Subject: Thesis comments and corrections Subject: IRIS In-kind contributions etc Subject Subject: Hi, Mr. Roweis Subject: your phd thesis Subject: depth draft & volume paper & volume reviews of projected gradient methods Subject: Re: image restoration Subject: blind deconvolution Subject: L1-norm

  8. Patterning a Preformed, Reactive SAM Using Microcontact Printing

    E-Print Network [OSTI]

    Prentiss, Mara

    with a wide range of organic functionalities but does require separate synthesis of each thiol have used this surface to pattern the deposition of Au nanoparticles. Figure 1 depicts this method a 1:1 mixture of N-alkyl amides and car- boxylic acids.8 The remaining anhydride groups in the uncon

  9. Location Coding for Mobile Image Retrieval Sam S. Tsai

    E-Print Network [OSTI]

    Girod, Bernd

    ] for matching. Features are ex- tracted from the database of images to form a set of features. A hierarchical k-means, for a visual comparison, information must be either uploaded from the mobile to the server, or downloaded from

  10. Jo Ann Baumgartner and Sam Earnshaw: Organizers and Farmers

    E-Print Network [OSTI]

    Rabkin, Sarah

    2010-01-01T23:59:59.000Z

    wastewater for crop irrigation in the Salinas Valley. Alarmed by the toxicity of the conventional agricultural

  11. Antibody binding to p-Si using LANL SAM chemistry

    SciTech Connect (OSTI)

    Anderson, Aaron S [Los Alamos National Laboratory

    2010-12-06T23:59:59.000Z

    This NMSBA-sponsored project involves the attachment of antibodies to polymeric silicon (p-Si) surfaces, with the ultimate goal of attaching antibodies to nanowires for Vista Therapeutics, Inc. (Santa Fe, NM). This presentation describes the functionalization of p-Si surfaces. the activation of terminal carboxylates on these surfaces, the conjugation of antibodies, and the analyses undertaken at each step. The results of this work show that antibody conjugation is possible on p-Si coatings using the well-known EDC/NHS activation chemistry.

  12. MARQUAM HILL CAMPUS SW SWGIBBS ST / SAM JACKSON PARK RD

    E-Print Network [OSTI]

    Chapman, Michael S.

    the south via I-5 · Travel north on I-5. · Take exit 297 (Terwilliger Blvd). · Turn left at stop light onto S.W. Terwilliger Blvd. · Turn right onto S.W. Barbur Blvd. and continue for approximately 3 miles

  13. FIA-13-0037- In the Matter of Sam Lyle

    Broader source: Energy.gov [DOE]

    On June 27, 2013, the Office of Hearings and Appeals (OHA) issued a decision denying an appeal (Appeal) from a Privacy Act determination issued by the Department of Energy’s Oak Ridge Office (ORO)....

  14. Wising Up Uncle Sam to Cybertricks | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075DepartmentOak Ridge National

  15. INFORMATION ON THE SYSTEM FOR AWARD MANAGEMENT (SAM)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department ofOral TestimonyEnergyFindingINFORMATION ON THE SYSTEM

  16. VTA, SamTrans Look into Future with Bus Demo

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN7VOGTLEinduction motor

  17. Wising Up Uncle Sam to Cybertricks | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2Uranium TransferonUS-IndiaVALUEWaterWhere is| Department ofEnergy

  18. DUNS, FFATA, SAM | Y-12 National Security Complex

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OFSupplemental TechnologySummary of DSO 216 -

  19. SFC Ltd formerly SamWoo Film | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:RoscommonSBY Solutions Jump to: navigation,SEMASSSES CoSF-299

  20. ABSTRACT MODEL SPECIFICATION USING THE M OBIUS MODELING TOOL JAY M. DOYLE

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    in the proposed software framework. iii #12;To my wife Heather, for all the lonely nights alone. iv #12;ACKNOWLEDGMENTS I would like to thank my advisor, Professor William H. Sanders, for technical advice and support Obal, John Sowder, Aaron Stillman, Alex Williamson, and Patrick Webster. I would also like to thank

  1. COMPLEAT (Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies): A planning tool for publicly owned electric utilities. [Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies (Compleat)

    SciTech Connect (OSTI)

    Not Available

    1990-09-01T23:59:59.000Z

    COMPLEAT takes its name, as an acronym, from Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies. It is an electric utility planning model designed for use principally by publicly owned electric utilities and agencies serving such utilities. As a model, COMPLEAT is significantly more full-featured and complex than called out in APPA's original plan and proposal to DOE. The additional complexity grew out of a series of discussions early in the development schedule, in which it became clear to APPA staff and advisors that the simplicity characterizing the original plan, while highly desirable in terms of utility applications, was not achievable if practical utility problems were to be addressed. The project teams settled on Energy 20/20, an existing model developed by Dr. George Backus of Policy Assessment Associates, as the best candidate for the kinds of modifications and extensions that would be required. The remainder of the project effort was devoted to designing specific input data files, output files, and user screens and to writing and testing the compute programs that would properly implement the desired features around Energy 20/20 as a core program. This report presents in outline form, the features and user interface of COMPLEAT.

  2. OTR measurements and modeling of the electron beam optics at the E-cooling facility

    SciTech Connect (OSTI)

    Warner, A.; Burov, Alexey V.; Carlson, K.; Kazakevich, G.; Nagaitsev, S.; Prost, L.; Sutherland, M.; Tiunov, M.; /Fermilab /Novosibirsk, IYF

    2005-11-01T23:59:59.000Z

    Optics of the electron beam accelerated in the Pelletron, intended for the electron cooling of 8.9 GeV antiprotons in the Fermilab recycler storage ring, has been studied. The beam profile parameters were measured under the accelerating section using Optical Transition Radiation (OTR) monitor. The monitor employs a highly-reflective 2 inch-diameter aluminum OTR-screen with a thickness of 5 {micro}m and a digital CCD camera. The measurements were done in a pulse-signal mode in the beam current range of 0.03-0.8 A and at pulse durations ranging from 1 {micro}s to 4 {micro}s. Differential profiles measured in pulsed mode are compared with results obtained by modeling of the DC beam dynamics from the Pelletron cathode to the OTR monitor. The modeling was done with SAM, ULTRASAM and BEAM programs. An adjustment of the magnetic fields in the lenses of the accelerating section was done in the simulations. The simulated electron beam optics downstream of the accelerating section was in good agreement with the measurements made with pulsed beam.

  3. Model and Analytic Processes for Export License Assessments

    SciTech Connect (OSTI)

    Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry

    2011-09-29T23:59:59.000Z

    This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.

  4. Soft-Landing of Peptide IOns Onto Self-Assembled Monolayer Surfaces...

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

    self-assembled monolayer surfaces (SAMs). Peptide ions are particularly attractive model systems that provide important insights on the behavior of soft landed proteins, while...

  5. Slide 1

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

    Advances in submodels (DNI, IAM, losses) SAM - Advanced calculation tools (scripting, API, parametric) PV*SOL - Model description, 3-D shading 6 Solar Resource Data -...

  6. DOE Office of Indian Energy Foundational Course: Assessing Energy...

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

    Visualization Group Project Lead: Nate Blair Nate.Blair@nrel.gov Complete System Techno-Economic Modeling Technologies in SAM 18 Photovoltaics Concentrating PV Solar Water...

  7. Visualizing lateral anisotropy in modern carbonates

    E-Print Network [OSTI]

    Purkis, Sam

    ; purkis@nova.edu Sam Purkis' research interests are in applied sedimentology, petroleum geology sedimentology concepts to improve geostatistical reservoir models. Vlaswinkel's experience includes seismic

  8. Final Report for DOE Grant DE-FG02-07ER64470 [“Incorporation of the HYbrid Coordinate Ocean Model (HYCOM) into the Community Climate System Model (CCSM): Evaluation and Climate Applications”

    SciTech Connect (OSTI)

    Chassignet, Eric P

    2013-03-18T23:59:59.000Z

    The primary goal of the project entitled “Incorporation of the HYbrid Coordinate Ocean Model (HYCOM) into the Community Climate System Model (CCSM): Evaluation and Climate Applications” was to systematically investigate the performance of the HYbrid Coordinate Ocean Model (HYCOM) as an alternative oceanic component of the NCAR’s Community Climate System Model (CCSM). We have configured two versions of the fully coupled CCSM3/HYCOM: one with a medium resolution (T42) Community Atmospheric Model (CAM) and the other with higher resolution (T85). We have performed a comprehensive analysis of the 400-year fully coupled CCSM3/HYCOM simulations and compared the results with those from CCSM3/POP and with climatological observations, and also we have performed tuning of critical model parameters, including Smagorinsky viscosity, isopycnal diffusivity, and background vertical diffusivity. The analysis shows that most oceanic features are well represented in the CCSM3/HYCOM. The coupled CCSM3/HYCOM (T42) has been integrated for 400 years, and the results have been archived and transferred to the High Performance Computer in the Florida State Univesity. In the last year, we have made comprehensive diagnostics of the long-term simulations by the comparison with the original CCSM3/POP simulation and with the observations. To gain some understanding of the model biases, the mean climate and modes of climate variability of the two models are compared with observations. The examination includes the Northern and Southern Annular Modes (NAM and SAM), the Pacific-North-American (PNA) pattern, the Atlantic Multidecadal Oscillation (AMO), and the main Southern Ocean SST mode. We also compared the performance of ENSO simulation in the coupled models. This report summarizes the main findings from the comparison of long-term CCSM3/HYCOM and CCSM3/POP simulations.

  9. Queuing models System dynamics models

    E-Print Network [OSTI]

    Glushko, Robert J.

    models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint

  10. NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy

    E-Print Network [OSTI]

    for predicting the performance of photovoltaic systems. The model requires that the analyst choose from three-08GO28308 Comparison of Photovoltaic Models in the System Advisor Model Preprint Nate J. Blair and Aron.nrel.gov/publications. Comparison of Photovoltaic Models in the System Advisor Model Nate J. Blair Strategic Energy Analysis Center

  11. annual gaston labat: Topics by E-print Network

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

    Mathematics Websites Summary: -frequency electromagnetic field due to lightning. A fractal model. Advisor: Flavio Canavero. 1991 B.S. in Electrical, D. Labate, F. G. Canavero,...

  12. ahmet mihails rodins: Topics by E-print Network

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

    Bilal Demir, Caleb Lee, Joe Meiners, Christian Rodin Advisor: Dr. Introduction Design Kinematic Model Testing Current wave energy technology harvests the vertical motion....

  13. Jonathan A. Chávez-Casillas – CV

    E-Print Network [OSTI]

    Jonathan A. Chávez-Casillas

    2014-08-26T23:59:59.000Z

    Page 1 ... Advisor: Prof. José E. Figueroa-López. Thesis topic: Limit Order Books, modeling and dyamics. GPA 3.72. 2010–present MSc. in Computational ...

  14. Statistical Models of the Brain 36-759 Spring, 2011

    E-Print Network [OSTI]

    Kass, Rob

    ideas have been part of neurophysiology and the brain sciences since the first stochastic description-and-fire neurons are usually assumed to be driven in part by stochastic noise; the role of spike timing involves, and Eden (KBE), at http://www.stat.cmu.edu/~kass/sam I offered to meet on January 6 with anyone who wishes

  15. Convex Approximations of a Probabilistic Bicriteria Model with Disruptions

    E-Print Network [OSTI]

    Morton, David

    sam- pling scheme based on distributional information on the time of disruption. We establish that our of the bicriteria problem. Key words: programming, stochastic: probabilistic constraints; simulation; programming: multiple criteria 1. Introduction When optimizing large-scale stochastic systems, performance should

  16. SCANNING ACOUSTIC MICROSCOPY MODELING FOR MICROMECHANICAL MEASUREMENTS OF COMPLEX SUBSTRATES

    E-Print Network [OSTI]

    Marangos, Orestes

    2010-05-31T23:59:59.000Z

    , Composition and Mechanical Properties ...................................... 80 3.5 Characteristics of Acid-Etched Dentin...................................................................... 82 3.6 Application of SAM to dental materials... structure and composition at different spatial scales which is responsible for how material properties manifest in experimental measurements. In order to observe a material property, we “probe” and measure the reaction. The observable property is thus...

  17. Practical stochastic modelling of electricity prices Michel Culot

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , France; email: steve lawford@yahoo.co.uk. Culot, Goffin, Lawford and de Menten were with the Strategy is Tractebel Professor of Energy Economics at UCL/CORE, and advisor to Electrabel. We thank the Editor, Derek Lubrano, Marius Ooms, and seminar participants at CORE, GREQAM, Groningen, the 2006 Energy Risk conference

  18. Lifecycle Model

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-05-21T23:59:59.000Z

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  19. Ventilation Model

    SciTech Connect (OSTI)

    H. Yang

    1999-11-04T23:59:59.000Z

    The purpose of this analysis and model report (AMR) for the Ventilation Model is to analyze the effects of pre-closure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts and provide heat removal data to support EBS design. It will also provide input data (initial conditions, and time varying boundary conditions) for the EBS post-closure performance assessment and the EBS Water Distribution and Removal Process Model. The objective of the analysis is to develop, describe, and apply calculation methods and models that can be used to predict thermal conditions within emplacement drifts under forced ventilation during the pre-closure period. The scope of this analysis includes: (1) Provide a general description of effects and heat transfer process of emplacement drift ventilation. (2) Develop a modeling approach to simulate the impacts of pre-closure ventilation on the thermal conditions in emplacement drifts. (3) Identify and document inputs to be used for modeling emplacement ventilation. (4) Perform calculations of temperatures and heat removal in the emplacement drift. (5) Address general considerations of the effect of water/moisture removal by ventilation on the repository thermal conditions. The numerical modeling in this document will be limited to heat-only modeling and calculations. Only a preliminary assessment of the heat/moisture ventilation effects and modeling method will be performed in this revision. Modeling of moisture effects on heat removal and emplacement drift temperature may be performed in the future.

  20. Steady-state estuarine modeling of the Brownsville ship channel

    E-Print Network [OSTI]

    Maldonado, Roberto Jaime

    1976-01-01T23:59:59.000Z

    Channel 17. Resultant Tidal Velocities Brownsville Ship Channel 18. Summary of Inflow Data Brownsvi lie Ship Channel Modelinp 14Z 145 149 LIST OF ILLUSTRATIONS Figure 1 Drowns vi 1 le Ship Channel and Contiguous Waters Sam pl i ng Stat i on Loca... ti ons San Martin Lake System . 3 Sampling Station Locations, Fishing Harbor Climatological Occurrence Physical Sampling Station Locations Brownsville Ship Channel 6 Salinity, Brownsville Ship Channel, May 1975 . 7 Temperature, Brownsville Ship...

  1. Sourav Banerjee, Ph.D., P.E. Contact Address: 300 Main Street, Room A117, Columbia, SC 29210, Ph: (803) 777 4596 (o) (480) 234 5263 (c)

    E-Print Network [OSTI]

    Sutton, Michael

    -Temporal stochastic modeling through feature extraction, Gaussian Mixture Modeling and Regression (GMM Ultrasonics (LU), Electromagnetic Acoustic Transducers (EMAT), Scanning Acoustic Microscopes (SAM and failure analysis of materials, Stochastic modeling for prediction. 3. Mechatronics & Intelligent

  2. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05T23:59:59.000Z

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).

  3. HABITAT BUT NOT BODY SHAPE AFFECTS PREDATOR ATTACK FREQUENCY ON LIZARD MODELS IN THE BRAZILIAN CERRADO

    E-Print Network [OSTI]

    Shepard, Don

    CERRADO DONALD B. SHEPARD 1,2 1 Sam Noble Oklahoma Museum of Natural History and Department of Zoology such as pattern and shape in forming search images of prey, thereby influencing the evolution of prey morphology's ability to detect prey (Endler, 1986, 1991; Ruxton et al., 2004). Predators form search images of cryptic

  4. 2012 Changing Arctic Ocean 506E/497E -Lecture 17 -Woodgate Global models in the Arctic

    E-Print Network [OSTI]

    Washington at Seattle, University of

    ;2 2012 Changing Arctic Ocean 506E/497E - Lecture 17 - Woodgate Deep waters of the Atlantic from http://sam://iodp.tamu.edu/publications/PR/303PR/images/Fig01.jpg Dickson et al, refs Denmark Strait ~ 650m deep Iceland Scotland Ridge ~ 400

  5. Understanding the genetics of aging: a canine model

    E-Print Network [OSTI]

    Canterberry, Sarah Christine

    2007-04-25T23:59:59.000Z

    : Dr. Keith E. Murphy As life expectancy in the United States increases each year, the percentage of the population that is comprised of aged individuals rises also. Researchers expect the largest increase in population to occur... ACKNOWLEDGEMENTS I would like to thank Dr. Keith Murphy, my advisor, for his investment of time and effort into my graduate career. I would like to thank the membfers of my committee, for providing me with invaluabfle advice, Dr. Ann Kier, Dr...

  6. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01T23:59:59.000Z

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  7. Sandia Energy - Systems Modeling

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

    Simulation Model Energy, Power & Water Simulation Model SunCity Model Water, Energy and Carbon Sequestration Model Gila Basin-Az Water Settlement Model Electrical Grid Storage...

  8. Modeling Quality Information within Business Process Models

    E-Print Network [OSTI]

    Paech, Barbara

    Modeling Quality Information within Business Process Models Robert Heinrich, Alexander Kappe. Business process models are a useful means to document information about structure and behavior literature and tool survey on modeling quality information within business process models. Keywords: Business

  9. Modeling Arcs

    SciTech Connect (OSTI)

    Insepov, Z.; Norem, J. [Argonne National Lab, Argonne, IL 60439 (United States); Vetizer, S.; Mahalingam, S. [Tech-X Corp., Boulder, CO (United States)

    2011-12-23T23:59:59.000Z

    Although vacuum arcs were first identified over 110 years ago, they are not yet well understood. We have since developed a model of breakdown and gradient limits that tries to explain, in a self-consistent way: arc triggering, plasma initiation, plasma evolution, surface damage and gradient limits. We use simple PIC codes for modeling plasmas, molecular dynamics for modeling surface breakdown, and surface damage, and mesoscale surface thermodynamics and finite element electrostatic codes for to evaluate surface properties. Since any given experiment seems to have more variables than data points, we have tried to consider a wide variety of arcing (rf structures, e beam welding, laser ablation, etc.) to help constrain the problem, and concentrate on common mechanisms. While the mechanisms can be comparatively simple, modeling can be challenging.

  10. Programming models

    SciTech Connect (OSTI)

    Daniel, David J [Los Alamos National Laboratory; Mc Pherson, Allen [Los Alamos National Laboratory; Thorp, John R [Los Alamos National Laboratory; Barrett, Richard [SNL; Clay, Robert [SNL; De Supinski, Bronis [LLNL; Dube, Evi [LLNL; Heroux, Mike [SNL; Janssen, Curtis [SNL; Langer, Steve [LLNL; Laros, Jim [SNL

    2011-01-14T23:59:59.000Z

    A programming model is a set of software technologies that support the expression of algorithms and provide applications with an abstract representation of the capabilities of the underlying hardware architecture. The primary goals are productivity, portability and performance.

  11. LEDCOM Model

    Broader source: Energy.gov [DOE]

    Zip file containing the LEDCOM model as an excel worksheet, the backend database, and an operating information document. Extract all files to the same local directory on your computer.

  12. counselor to the student, the advisor is the primary counselor. Communication between the advisor and the student is necessary to make advising a meaningful and productive process.

    E-Print Network [OSTI]

    . Undergraduate coursework in mathematics and in basic and applied sciences is strongly encouraged. If the baccalaureate degree is not in the area of communication sciences and disorders, the completion of courses/Overview of Communication Disorders Language Science/Development Introductory Acoustics Research Methods Speech and Hearing

  13. DOE Workshop; Pan-Gass Conference on the Representation of Atmospheric Processes in Weather and Climate Models

    SciTech Connect (OSTI)

    Morrison, PI Hugh

    2012-09-21T23:59:59.000Z

    This is the first meeting of the whole new GEWEX (Global Energy and Water Cycle Experiment) Atmospheric System Study (GASS) project that has been formed from the merger of the GEWEX Cloud System Study (GCSS) Project and the GEWEX Atmospheric Boundary Layer Studies (GABLS). As such, this meeting will play a major role in energizing GEWEX work in the area of atmospheric parameterizations of clouds, convection, stable boundary layers, and aerosol-cloud interactions for the numerical models used for weather and climate projections at both global and regional scales. The representation of these processes in models is crucial to GEWEX goals of improved prediction of the energy and water cycles at both weather and climate timescales. This proposal seeks funds to be used to cover incidental and travel expenses for U.S.-based graduate students and early career scientists (i.e., within 5 years of receiving their highest degree). We anticipate using DOE funding to support 5-10 people. We will advertise the availability of these funds by providing a box to check for interested participants on the online workshop registration form. We will also send a note to our participants' mailing lists reminding them that the funds are available and asking senior scientists to encourage their more junior colleagues to participate. All meeting participants are encouraged to submit abstracts for oral or poster presentations. The science organizing committee (see below) will base funding decisions on the relevance and quality of these abstracts, with preference given to under-represented populations (especially women and minorities) and to early career scientists being actively mentored at the meeting (e.g. students or postdocs attending the meeting with their advisor).

  14. Model systems This year's model

    E-Print Network [OSTI]

    Raines, Ronald T.

    @biochem.wisc.edu RTR received ScB degrees in chemistry and biology from the Massachusetts Institute of Technology that initially inspired the chemical simplification. In such cases, the later stages of model studies can seem

  15. ISDAC Modeling

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

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

  16. Modelling osteomyelitis

    E-Print Network [OSTI]

    Liò, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco

    2012-09-07T23:59:59.000Z

    13 of 14 12. Paoletti N, Lio P, Merelli E, Viceconti M: Multi-level Computational Modeling and Quantitative Analysis of Bone Remodeling. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2012, 99(PrePrints). 13. Geris L, Vander Sloten...

  17. Criticality Model

    SciTech Connect (OSTI)

    A. Alsaed

    2004-09-14T23:59:59.000Z

    The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

  18. Sandia National Laboratories: Modeling

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

    Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

  19. Application and modeling of near-infrared frequency domain photon migration for monitoring pharmaceutical powder blending operations

    E-Print Network [OSTI]

    Pan, Tianshu

    2006-10-30T23:59:59.000Z

    in resin powder media and resin suspensions. v DEDICATION To my parents and parents-in-law vi ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Eva M. Sevick-Muraca, for guiding and encouraging me to work in this novel... .................................................................................................................iii DEDICATION............................................................................................................... v ACKNOWLEDGEMENTS ..........................................................................................vi LIST...

  20. Advances in Reduced-Order Modeling Based on Proper Orthogonal Decomposition for Single and Two-Phase Flows

    E-Print Network [OSTI]

    Fontenot, Raymond Lee

    2012-02-14T23:59:59.000Z

    , and turbomachinery seals. The results of this investigation show that all of the important features are extracted without loss in accuracy. v To My Family vi ACKNOWLEDGMENTS I would rst like to thank my advisor, Dr. Cizmas, for his patience and advice through...

  1. Translating Model Simulators to Analysis Models

    E-Print Network [OSTI]

    de Lara, Juan

    Translating Model Simulators to Analysis Models Juan de Lara1 and Hans Vangheluwe2 1 Polytechnic generation of model-to-model transformations given a description of the operational semantics of the source of operational triple graph grammar rules that transform the static information (initial model) and the dynamics

  2. Graphical models, causal inference, and econometric models

    E-Print Network [OSTI]

    Spirtes, Peter

    Graphical models, causal inference, and econometric models Peter Spirtes Abstract A graphical model modeling has historical ties to causal modeling in econometrics and other social sciences, there have been isolated from the econometric tradition. In this paper I will describe a number of recent developments

  3. PV array simulator development and validation.

    SciTech Connect (OSTI)

    Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

    2010-06-01T23:59:59.000Z

    The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

  4. Modelling intonational structure using hidden markov models

    E-Print Network [OSTI]

    Wright, Helen; Taylor, Paul A

    1997-01-01T23:59:59.000Z

    A method is introduced for using hidden Markov models (HMMs) to model intonational structure. HMMs are probabilistic and can capture the variability in structure which previous finite state network models lack. We show ...

  5. Effect of the surface on the secondary structure of soft landed...

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

    have been extensively studied both in solution and in the gas phase were used as model systems in this study. We demonstrate that physical and chemical properties of SAM...

  6. Duality and Derivative Pricing with Levy Jose Fajardo

    E-Print Network [OSTI]

    Mordecki, Ernesto

    (1996) obtain a closed form formula using the optional sam- pling theorem, assuming that stock prices.e. a stochastic process with independent and homogeneous increments, possible with discontinuous paths results for stochastic volatility models, and for diffusi

  7. Generation of Learning Samples for Historical Handwriting Recognition Using Image Degradation

    E-Print Network [OSTI]

    Boyer, Edmond

    Generation of Learning Samples for Historical Handwriting Recognition Using Image Degradation of image degradation to generate synthetic learning sam- ples for historical handwriting recognition. With respect to three image degradation models, we report significant im- provements in accuracy

  8. SVNY294-Kalinin July 17, 2006 16:18 Principles of Near-Field

    E-Print Network [OSTI]

    Anlage, Steven

    in the field, and discuss a novel quantitative modeling approach to interpreting near-field microwave images samples to eliminate de-magnetization and de-polarization effects, but such sam- ples are rarely available

  9. Modeling Traffic Flow Emissions

    E-Print Network [OSTI]

    Cappiello, Alessandra

    2002-09-17T23:59:59.000Z

    The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models

  10. Hydrologic Modeling Capabilities

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

    Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of...

  11. Energy landscapes of biomolecular function

    E-Print Network [OSTI]

    Whitford, Paul Charles

    2009-01-01T23:59:59.000Z

    Simulation images illustrating SAM binding mechanism: (b)Simulation images illustrating SAM binding mechanism: (b)

  12. LSU DEPARTMENT OF CHEMISTRY 2012 26 Graduations Listed By Research Advisor

    E-Print Network [OSTI]

    Harms, Kyle E.

    , Nd, Sm, Gd, and Tb) ­ Tuning of Anisotropic Long-Range Magnetic Order as a Function of Ln," Dalton into the Role of Humic Acid in Biomembrane Permeability and the Effects of Naturally Formed Gold and Silver Nanoparticles on These Interactions" Employment on graduation: Instructor, Department of Chemistry, LSU

  13. Last First Advisor Office Location Abuhamad J Gomes SCTS 306C

    E-Print Network [OSTI]

    Brown D Munster HOBG 127 Brown E Gomes SCTS 306C Bush J Mohanty SCTS 301C Cabrera S Castell SCTS 303G Campbell K Huang HOBG 126 Cantu P Parnell SCTS 207D Carter W Moreira SCTS 107E #12;Cavazos L Capareda SCTS

  14. By C.-Y. Cynthia Lin1 Member, Controller's Council of Economic Advisors and

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    invasive policy to address environmental concerns." 2 Air pollution is a particularly critical six. Negative effects of air pollution have been extensively documented, and include impairment of 2006 (AB 32) and air quality standards that are more stringent than those at the federal level

  15. The MIT Design Advisor : simple and rapid energy simulation of early-stage building designs

    E-Print Network [OSTI]

    Urban, Bryan J. (Bryan James)

    2007-01-01T23:59:59.000Z

    Simulation tools, when applied early in the design process, can considerably reduce the energy demand of newly constructed buildings. For a simulation tool to assist with design, it must be easy to use, provide feedback ...

  16. * Dissertation advisor: Dimitris Maroulis, Associate Professor Design and Implementation of Image Analysis and

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    power and graphic card acceleration, combined with improvements in high fidelity optical systems, over and entertainment applications continuously promotes the importance of three- dimensional display systems. However, the volume of information that a three- dimensional display system must cope with prohibits real

  17. Enabling energy efficiency for low-income housing in Developing countries using MIT Design Advisor

    E-Print Network [OSTI]

    Ali, Zehra (Zehra Hyder)

    2009-01-01T23:59:59.000Z

    There is a great need to improve energy efficiency of low-income housing, since people who can afford it least have to pay a significant portion of their income to make their homes more habitable or else live with greater ...

  18. * Dissertation Advisor: Dimitris Varoutas, Assistant Professor Connectivity Issues for Optical Wireless Networks

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    . Therefore, multi-hop operation, which is a common technique in wireless radiofrequency (RF) communication, most of the solar radiation is getting absorbed by the ozone in the upper at- mosphere, leading. The insignificant background solar radiation and the strong atmospheric scattering enable the activation of NLOS

  19. Business Advisor at TIE Center andysons@c3bb.com

    E-Print Network [OSTI]

    at Ford Motor Company. Enforced contract workforce rules and led Six Sigma quality improvement teams environment. Implemented Six Sigma training as part of plant wide improvement project and led three individual

  20. Developing a tight gas sand advisor for completion and stimulation in tight gas reservoirs worldwide

    E-Print Network [OSTI]

    Bogatchev, Kirill Y.

    2009-05-15T23:59:59.000Z

    while completing and stimulating TGS reservoirs. The modules include Perforation Selection and Proppant Selection. Based on input well/reservoir parameters these subroutines provide unambiguous recommendations concerning which perforation strategy...

  1. Developing a tight gas sand advisor for completion and stimulation in tight gas reservoirs worldwide

    E-Print Network [OSTI]

    Bogatchev, Kirill Y

    2008-10-10T23:59:59.000Z

    should be initiated in perforation (Manrique, Bjornen, Ehlig-Economides24). Ramirez et al.25 suggested that for a production test in high a pressure/high temperature exploration TGS wells, propellant-assisted perforating could be an attractive... promotes grain-to-grain contact, and remains as a liquid until it is fully cured downhole. A variety of LRS products was specially formulated to accommodate all temperature ranges: a low-temperature, two-component, epoxy system (70° F - 225° F); a high-temperature...

  2. ESS Capstone Project Example Proposal submitted to Dr. (Insert advisor name here) for ESS 499 CAPSTONE

    E-Print Network [OSTI]

    Alabama in Huntsville, University of

    will enable air quality assessment in remote areas where ground based pollution measurements are not available the air quality system. Satellite remote sensing of surface level pollution is an innovative) (or aerosols) and ozone are the two major pollutants affecting the air quality in urban areas

  3. Test Factoring: Focusing Test Suites for the Task at Hand Michael D. Ernst, research advisor

    E-Print Network [OSTI]

    Liskov, Barbara

    Test Factoring: Focusing Test Suites for the Task at Hand David Saff Michael D. Ernst, research and Subject Descriptors: D.2.5 (Testing and Debug­ ging): Testing tools General Terms: Algorithms, Design, Performance, Verification Keywords: test factoring, mock objects, unit testing 1. Problem: slow, unfocused

  4. Test Factoring: Focusing Test Suites for the Task at Hand Michael D. Ernst, research advisor

    E-Print Network [OSTI]

    Liskov, Barbara

    Test Factoring: Focusing Test Suites for the Task at Hand David Saff Michael D. Ernst, research and Subject Descriptors: D.2.5 (Testing and Debug- ging): Testing tools General Terms: Algorithms, Design, Performance, Verification Keywords: test factoring, mock objects, unit testing 1. Problem: slow, unfocused

  5. advisors 12nov98 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  6. advisors 23jun99 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  7. advisors 08mar99 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  8. advisors 22jun98 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  9. advisors 13-14nov97 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  10. advisors 23-24mar00 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  11. advisors 08nov99 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  12. advisors 02-03mar98 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  13. advisors 22sep98 meeting: Topics by E-print Network

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

    the incidents might have been Farritor, Shane 339 VOLT Meetings VOLT meetings are held monthly and Engineering Websites Summary: with Venture's Outdoor Leadership Training and...

  14. CHRIS ROBERTSON & ASSOCIATES, LLC Business and Policy Advisors 3707 NE16th Avenue, Portland, Oregon 97212

    E-Print Network [OSTI]

    . Almost all of the relatively few presently installed fleet of DG PV systems have older inverters designed Resilience and Subduction Zone Earthquake Emergency Response: Impacts of Distributed Solar Energy (DG PV. Distributed solar generation (DG PV) sources are sparsely developed. In a subduction zone earthquake the grid

  15. 2014 Dissertation Year Awardees Awardees College/Department Dissertation Title or Topic Faculty Advisor

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Epistemology and Networked Governance: An Actor-Network Account Hugh Miller Nishantha Randunu Pathirannehelage

  16. For more information or to speak with an Admissions Advisor, please contact us

    E-Print Network [OSTI]

    Habib, Ayman

    ) APPLIED AND ENVIRONMENTAL GEOLOGY APPLIED CHEMISTRY 7 APPLIED MATHEMATICS ARCHAEOLOGY ASTROPHYSICS COMPUTER SCIENCE 8,9 EARTH SCIENCE ECOLOGY 1 ENVIRONMENTAL SCIENCE GENERAL MATHEMATICS GEOGRAPHY GEOLOGY ELECTRICAL ENGINEERING 9 GEOMATICS ENGINEERING 9 MECHANICAL ENGINEERING 9 OIL AND GAS ENGINEERING 9 SOFTWARE

  17. Naval Postgraduate School Board of Advisors Subcommittee Meeting 17 October 2012

    E-Print Network [OSTI]

    · Cyber · Energy · CRUSER · International Provost Ferrari 1710 Personal Time 1800 Pinzimini Restaurant of Graduate Education Jacket/No Tie · MGEN Muhammad Idris, National Defence College, Abuja, Nigeria · Ernest

  18. My Degree Audit Self-Service for Advisors January 18, 2013

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Degree Audit Reporting System (DARS). My Degree Audit functions in much the same way as DARS so users contains information about logging on to My Degree Audit. Login Like its predecessor DARS, My Degree Audit

  19. 2008 RESEARCH EXPO POSTER NAMES, PARTICIPANTS, FACULTY ADVISORS AND RESEARCH INSTITUTES

    E-Print Network [OSTI]

    Wang, Deli

    AND PROGRESSION USING IR THERMOGRAPHY Ali Shirazi Vistasp Karbhari 225 EVALUATION OF PREFABRICATED FRP STRUCTURAL

  20. A Rook or a Pawn: The White House Science Advisor in an Age of Climate Confusion

    E-Print Network [OSTI]

    Aslanian, Len

    2010-01-01T23:59:59.000Z

    There's no such thing as clean coal. There is such a thingthe infamous notion of "clean coal." ' 0 ' On the contrary,

  1. MSE 395 DESIGN PROJECTS FOR SPRING 2014 (alphabetical order by advisor's last name)

    E-Print Network [OSTI]

    Weaver, John H.

    the solar system carries no solar panels on board. Instead these vehicles use the heat (energy) generated need more power than solar cells can provide. For example the voyager spacecraft that is now exiting applications with low-cost substrates. Can we take cues from their work and that of others doing nano

  2. The new Advisor tab is a quick and easy way to

    E-Print Network [OSTI]

    Farritor, Shane

    or browser. The Class Offerings tab allows you to do a class search for a specific term. Click on the drop tab allows you to search for a student either by NUID or last name. Signing into MyRED 1. Open your. Enter your NUID number in the NUID field. 5. Enter your password. (Use the password you use to access

  3. The new Advisor tab is a quick and easy way to

    E-Print Network [OSTI]

    Farritor, Shane

    allows you to do a class search for a specific term. Click on the drop down box to find the term tab allows you to search for a student either by NUID or last name. Signing into MyRED 1. Open your. Enter your NUID number in the NUID field. 5. Enter your password. (Use the password you use to access

  4. NNSA Science Advisor John Maenchen Named as IEEE Fellow | National Nuclear

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

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

  5. Agriculture and Natural Resources Fred L. Poston, Dean and Special Advisor to the President

    E-Print Network [OSTI]

    Liu, Taosheng

    -Elmoore, Dean International Studies and Programs Steven D. Hanson, Interim Dean National Superconducting

  6. SMAC Advisor: A Decision-Support Tool on Coexistence of Genetically-Modified and Conventional Maize

    E-Print Network [OSTI]

    Bohanec, Marko

    is the introduction of genetically modified (GM) crops. On one hand, GM crops have genetical charateristics. On the other hand, the use of GM crops raises many concerns about their potential ecological and economic impacts. Decision-making about GM crops turns out to be extremely difficult as it involves many factors

  7. Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOnSTATEMENT8.pdf MoreRevised GuidelinesTraining

  8. Silicon-Based Tracking Detector Development Advisors: Mark Kruse and Ayana Arce

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund3 Outlook for Gulf ofMailing List SignExperience

  9. ADVISOR (ADvanced VehIcle SimulatOR) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCaliforniaWeifangwiki Home Jweers's APTAPFinal ReportAD

  10. Richard Gerber! NERSC Senior Science Advisor! Acting User Services Group Lead

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3 TheRichardDeputyActing

  11. Richard Gerber! NERSC Senior Science Advisor! NERSC User Services Deputy Group Lead

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-RayReview/Verify3User Services Deputy Group

  12. Mike Carr Senior Advisor to the Director, Energy Policy and Systems Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311,Official FileEnergy Midsize Wind TurbinesWritten Statement

  13. A Self-powered Wireless Sensor Node for Structural Health , Dong Sam Haa

    E-Print Network [OSTI]

    Ha, Dong S.

    (heat, solar, wind, vibration, radio frequency radiation) provides possible means to recharge to harvest vibration energy using a piezoelectric cantilever. The circuit generates a regulated DC output node consumes only 0.3 J and is powered up by the energy harvested from vibrations, often available

  14. Dr. Gary E. Spanner Recipient of the 2006 Sam Volpentest Entrepreneurial Leadership Award

    E-Print Network [OSTI]

    engineers and scientists apply their skills to problems defined by businesses. Since 1994, PNNL has with more than 5,000 employees, should be developed and marketed over the next few years as Hanford with whom he works, from the 40+ Tri-Cities organizations that support businesses to the Washington

  15. 2015-2016 SAM M. WALTON SCHOLARSHIP APPLICATION (May be duplicated)

    E-Print Network [OSTI]

    Noble, James S.

    ) to expensive durable goods (e.g., automobiles). Retailers, of course, are involved in retailing, but some?)_________________________________________________ ___________________________________________________________________________________________ ___________________________________________________________________________________________ EMPLOYMENT HISTORY: Include employer, phone number, dates, hours/week, position, responsibilities. 1

  16. Algebraic Foundation of Self Adjusting Switched Capacitors Converters Sam Ben-Yaakov

    E-Print Network [OSTI]

    ) was developed and generalized to any radix case. The proposed approach reduces the power loss by increasing switches or diodes (Fig 1). Unfortunately, SCC suffer from a fundamental power loss deficiency which makes. The power loss is due to the inherent energy dissipation when a capacitor is charged or discharged

  17. the year of DarwinAnnual Report SamNobleMuseum|UniversityofOklahoma

    E-Print Network [OSTI]

    Oklahoma, University of

    work that takes place behind the scenes at the museum. Our education department expanded its Explor to increase the general stock of knowledge is as respectable an object of life, as one can ... pursue

  18. Microsoft PowerPoint - 5_g ARYWednesday 5-22 SAMS - Fillable...

    National Nuclear Security Administration (NNSA)

    Installation Requirements - Download required zip file - Extract files and save to Windows Folder (ex. Desktop) 7 Operation Demonstration - Opening Form -...

  19. Dave Karl, Daniela Bttjer, Tara Clemente, Steve Poulos, Sam Wilson, Karin Bjrkman and

    E-Print Network [OSTI]

    science and society · Coupled natural- human systems · Economics and sustainability · Education and public;NUTRIENTS + LIGHT = PHYTOPLANKTON · Oceanographic theory and prediction · Results from field experiments Take Home Message #12;Karl 2007 #12;20 liter scale field experiments #12;+ nutrients control · Add N

  20. Energy Secretary Moniz to Keynote Sam Nunn Policy Forum in Atlanta |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen|July 14, 2014 Outdoor

  1. Diversity of Orchid Fungal Symbionts in Estonian Mine Tailings Sam Willis, Charles Cowden and Richard Shefferson

    E-Print Network [OSTI]

    Gittleman, John

    little more than burnt oil soaked shale and ash. We extracted all DNA in soil samples taken from multiple samples were taken is on a barren hill that was created when Estonia burned oil soaked shale to produce the fungi are utilizing the nutrients from the burnt oil and shale to support the orchids (Shefferson et al

  2. Professor Kari Marie Norgaard Course TA: Sam Moore 604 PLC 47A Columbia Hall

    E-Print Network [OSTI]

    that different members of society have different perspectives on environmental problems, ecological damage of damage is increasing. Class Format Environmental problems are not "out there" in the world/535 Environmental Justice Class Meets T, Th 2-3:50 in 142 Columbia Welcome to ENVS 435/535 Environmental Justice

  3. Secretary Moniz's Keynote at the Sam Nunn Policy Forum in Atlanta, GA --

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015ParentsMiddle SchoolPhysicsDeliveryforDepartmentAcademy ofFirstAs

  4. Sam Rayburn G&T Elec Coop Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:RoscommonSBYSalton Sea Geothermal Area Jump to:

  5. DOE Challenge Home Program A Note From Sam Rashkin: Goodbye Challenge,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJulyD&D Project for ETTPFeedstockDepartment DOEA Note From

  6. Secretary Moniz's Keynote at the Sam Nunn Policy Forum in Atlanta, GA --

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »Usage »DownloadSolarSequestrationofPreparedEnergy Secretary MonizofAs

  7. OSTIblog Posts by Sam Rosenbloom | OSTI, US Dept of Energy, Office of

    Office of Scientific and Technical Information (OSTI)

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

  8. VTA, SamTrans Look into Future with Bus Demo | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and03/02 TUE 08:59CapabilityVulnerabilities |2ParticipantVTA,

  9. Microsoft Word - NMMSS News - SpecialEdition - SAMS 4_1.doc

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysis andB - H, Page i PART I2MAY 2006National4)6

  10. Introducing SAM (Sun and Aureole Measurement), a New, Ground-based

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

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

  11. I Mr. Sam Popowcer, PE Senior Project Manager BCM Engineers, Inc.

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling CorpNewCF INDUSTRIES,L? .-I I ,Is I I THEI)

  12. Microsoft PowerPoint - SC-0023(SamPosterArmStm09).e.ppt

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand RetrievalsFinalModule8.pptStatesEnergyAn innovativeTankAlgorithm

  13. I&C Modeling in SPAR Models

    SciTech Connect (OSTI)

    John A. Schroeder

    2012-06-01T23:59:59.000Z

    The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.

  14. A valuation of the economic and social contribution of

    E-Print Network [OSTI]

    @forestry.gsi.gov.uk If you need this publication in an alternative format, for example in large print or in another language Advisor, Input-Output Modelling Branch of The Scottish Government; Caspian Richards and Michael Young

  15. UCSF Graduate Bioengineering Course Listing Spring Quarter March 31 June 13, 2014

    E-Print Network [OSTI]

    Healy, Kevin Edward

    . Schreiner 250 Research (8 units) SF Mentor or SF Head Graduate Advisor C. Schreiner 225 Mechanistic Modeling://registrar.ucsf.edu/registration/study-list-filing UCSF Registrar's Online Services - https://saa.ucsf.edu/studentportal/ Sjt

  16. Topological Massive Sigma Models

    E-Print Network [OSTI]

    N. D. Lambert

    1995-05-03T23:59:59.000Z

    In this paper we construct topological sigma models which include a potential and are related to twisted massive supersymmetric sigma models. Contrary to a previous construction these models have no central charge and do not require the manifold to admit a Killing vector. We use the topological massive sigma model constructed here to simplify the calculation of the observables. Lastly it is noted that this model can be viewed as interpolating between topological massless sigma models and topological Landau-Ginzburg models.

  17. Sandia Modeling Tool Webinar

    Office of Energy Efficiency and Renewable Energy (EERE)

    Webinar attendees will learn what collaborative, stakeholder-driven modeling is, how the models developed have been and could be used, and how specifically this process and resulting models might...

  18. Introduction & Scope Model & Calibration

    E-Print Network [OSTI]

    Kuhn, Matthew R.

    Introduction & Scope Principles Model & Calibration Applications Granular Fabric and Stress / papers / ASME07.pdf LATEX #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- November 12, 2007 http

  19. Sandia National Laboratories: Modeling

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

    Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...

  20. Interactive Topic Modeling

    E-Print Network [OSTI]

    Pleple, Quentin

    26 Interactive LDA . . . . . . . . . . . . . . . .and B. Satinoff (2011). Interactive topic modeling. InOF CALIFORNIA, SAN DIEGO Interactive Topic Modeling A thesis

  1. Sandia National Laboratories: Modeling

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

    from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... Sandia Team Attends World...

  2. Sandia National Laboratories: Modeling

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

    AtomicMolecular Massively Parallel Simulator) particle library, ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...

  3. Vehicle Modeling and Simulation

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

    Vehicle Modeling and Simulation Vehicle Modeling and Simulation Matthew Thornton National Renewable Energy Laboratory matthewthornton@nrel.gov phone: 303.275.4273 Principal...

  4. Modeling and Analysis

    Broader source: Energy.gov [DOE]

    DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...

  5. Sandia National Laboratories: Modeling & Analysis

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

    On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...

  6. OSHWPP model programs guide

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

    Descriptions of model occupational health and safety programs implemented at DOE facilities are presented.

  7. Sandia National Laboratories: Modeling & Analysis

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

    Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

  8. Sandia National Laboratories: Modeling & Analysis

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

    Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

  9. Feeling molecular forces: tactile feedback to enhance drug design

    E-Print Network [OSTI]

    Williams, Jocylin Amber

    2013-02-22T23:59:59.000Z

    Programs 8 Academic Scholarships Texas A8 M University In partial fulfillment of the requirements of the UNIVERSITY UNDERGRADUATE RESEARCH FELLOWS Approved as to style and content by: Edgar F. Meyer' (Fellows-Co-Advisor) Edward A. Funkhouser... Texas A&M University Fellows Advisor: Dr. Edgar F. Meyer Department of Biochemistry and Biophysics Molecular modeling is a vital component for structure-based drug design. Currently implemented technology combines data and graphics to give the user...

  10. Calibrated Properties Model

    SciTech Connect (OSTI)

    C. Ahlers; H. Liu

    2000-03-12T23:59:59.000Z

    The purpose of this Analysis/Model Report (AMR) is to document the Calibrated Properties Model that provides calibrated parameter sets for unsaturated zone (UZ) flow and transport process models for the Yucca Mountain Site Characterization Project (YMP). This work was performed in accordance with the ''AMR Development Plan for U0035 Calibrated Properties Model REV00. These calibrated property sets include matrix and fracture parameters for the UZ Flow and Transport Model (UZ Model), drift seepage models, drift-scale and mountain-scale coupled-processes models, and Total System Performance Assessment (TSPA) models as well as Performance Assessment (PA) and other participating national laboratories and government agencies. These process models provide the necessary framework to test conceptual hypotheses of flow and transport at different scales and predict flow and transport behavior under a variety of climatic and thermal-loading conditions.

  11. Ice Formation in Arctic Mixed-Phase Clouds: Insights from a 3-D Cloud-Resolving Model with Size-Resolved Aerosol and Cloud Microphysics

    SciTech Connect (OSTI)

    Fan, Jiwen; Ovtchinnikov, Mikhail; Comstock, Jennifer M.; McFarlane, Sally A.; Khain, Alexander

    2009-02-27T23:59:59.000Z

    The single-layer mixed-phase clouds observed during the Atmospheric Radiation Measurement (ARM) program’s Mixed-Phase Arctic Cloud Experiment (MPACE) are simulated with a 3-dimensional cloud-resolving model the System for Atmospheric Modeling (SAM) coupled with an explicit bin microphysics scheme and a radar-lidar simulator. Two possible ice enhancement mechanisms – activation of droplet evaporation residues by condensation-followed-by-freezing and droplet freezing by contact freezing inside-out, are scrutinized by extensive comparisons with aircraft and radar and lidar measurements. The locations of ice initiation associated with each mechanism and the role of ice nuclei (IN) in the evolution of mixed-phase clouds are mainly addressed. Simulations with either mechanism agree well with the in-situ and remote sensing measurements on ice microphysical properties but liquid water content is slightly underpredicted. These two mechanisms give very similar cloud microphysical, macrophysical, dynamical, and radiative properties, although the ice nucleation properties (rate, frequency and location) are completely different. Ice nucleation from activation of evaporation nuclei is most efficient near cloud top areas concentrated on the edges of updrafts, while ice initiation from the drop freezing process has no significant location preference (occurs anywhere that droplet evaporation is significant). Both enhanced nucleation mechanisms contribute dramatically to ice formation with ice particle concentration of 10-15 times higher relative to the simulation without either of them. The contribution of ice nuclei (IN) recycling from ice particle evaporation to IN and ice particle concentration is found to be very significant in this case. Cloud can be very sensitive to IN initially and form a nonquilibrium transition condition, but become much less sensitive as cloud evolves to a steady mixed-phase condition. The parameterization of Meyers et al. [1992] with the observed MPACE IN concentration is able to predict the observed mixed-phase clouds reasonably well. This validation may facilitate the application of this parameterization in the cloud and climate models to simulate Arctic clouds.

  12. Model Validation Status Review

    SciTech Connect (OSTI)

    E.L. Hardin

    2001-11-28T23:59:59.000Z

    The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.

  13. Energy-consumption modelling

    SciTech Connect (OSTI)

    Reiter, E.R.

    1980-01-01T23:59:59.000Z

    A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

  14. Biosphere Model Report

    SciTech Connect (OSTI)

    D.W. Wu; A.J. Smith

    2004-11-08T23:59:59.000Z

    The purpose of this report is to document the biosphere model, the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), which describes radionuclide transport processes in the biosphere and associated human exposure that may arise as the result of radionuclide release from the geologic repository at Yucca Mountain. The biosphere model is one of the process models that support the Yucca Mountain Project (YMP) Total System Performance Assessment (TSPA) for the license application (LA), TSPA-LA. The ERMYN provides the capability of performing human radiation dose assessments. This report documents the biosphere model, which includes: (1) Describing the reference biosphere, human receptor, exposure scenarios, and primary radionuclides for each exposure scenario (Section 6.1); (2) Developing a biosphere conceptual model using site-specific features, events, and processes (FEPs) (Section 6.2), the reference biosphere (Section 6.1.1), the human receptor (Section 6.1.2), and approximations (Sections 6.3.1.4 and 6.3.2.4); (3) Building a mathematical model using the biosphere conceptual model (Section 6.3) and published biosphere models (Sections 6.4 and 6.5); (4) Summarizing input parameters for the mathematical model, including the uncertainty associated with input values (Section 6.6); (5) Identifying improvements in the ERMYN compared with the model used in previous biosphere modeling (Section 6.7); (6) Constructing an ERMYN implementation tool (model) based on the biosphere mathematical model using GoldSim stochastic simulation software (Sections 6.8 and 6.9); (7) Verifying the ERMYN by comparing output from the software with hand calculations to ensure that the GoldSim implementation is correct (Section 6.10); (8) Validating the ERMYN by corroborating it with published biosphere models; comparing conceptual models, mathematical models, and numerical results (Section 7).

  15. Volumetric particle modeling 

    E-Print Network [OSTI]

    Dingle, Brent Michael

    2007-09-17T23:59:59.000Z

    This dissertation presents a robust method of modeling objects and forces for computer animation. Within this method objects and forces are represented as particles. As in most modeling systems, the movement of objects is driven by physically based...

  16. Sandia Modeling Tool Webinar

    Broader source: Energy.gov [DOE]

    Hosted by the Energy Department and Western Area Power Administration, this webinar will show attendees about what collaborative, stakeholder-driven modeling is and how the modeling tools and process developed by Sandia can be used in Indian Country.

  17. Ratchet Model of Baryogenesis

    E-Print Network [OSTI]

    Takeuchi, Tatsu; Sugamoto, Akio

    2010-01-01T23:59:59.000Z

    We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.

  18. Ratchet Model of Baryogenesis

    E-Print Network [OSTI]

    Tatsu Takeuchi; Azusa Minamizaki; Akio Sugamoto

    2013-01-06T23:59:59.000Z

    We propose a toy model of baryogenesis which applies the `ratchet mechanism,' used frequently in the theory of biological molecular motors, to a model proposed by Dimopoulos and Susskind.

  19. Nonparametric Bayesian behavior modeling

    E-Print Network [OSTI]

    Joseph, Joshua Mason

    2008-01-01T23:59:59.000Z

    As autonomous robots are increasingly used in complex, dynamic environments, it is crucial that the dynamic elements are modeled accurately. However, it is often difficult to generate good models due to either a lack of ...

  20. Optimizing Preventive Maintenance Models

    E-Print Network [OSTI]

    Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.