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

    Open Energy Info (EERE)

    graphs, which can be exported for use in reports or for further analysis in other models. History SAM was first developed in 2006 by the National Renewable Energy Laboratory...

  2. System Advisor Model, SAM 2011.12.2: General Description

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

    System Advisor Model, SAM 2011.12.2: General Description Paul Gilman and Aron Dobos Technical Report NREL/TP-6A20-53437 February 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 System Advisor Model, SAM 2011.12.2: General Description

  3. 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.

    2014-02-01

    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.

  4. Parabolic Trough Collector Cost Update for the System Advisor Model (SAM)

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Parabolic Trough Collector Cost Update for the System Advisor Model (SAM) Citation Details In-Document Search Title: Parabolic Trough Collector Cost Update for the System Advisor Model (SAM) This report updates the baseline cost for parabolic trough solar fields in the United States within NREL's System Advisor Model (SAM). SAM, available at no cost at https://sam.nrel.gov/, is a performance and financial model designed to facilitate decision making for

  5. 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.

    2014-05-01

    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.

  6. System Advisor Model, SAM 2011.12.2: General Description

    SciTech Connect (OSTI)

    Gilman, P.; Dobos, A.

    2012-02-01

    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.

  7. System Advisor Model, SAM 2014.1.14: General Description

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

    System Advisor Model, SAM 2014.1.14: General Description Nate Blair, Aron P. Dobos, Janine Freeman, Ty Neises, and Michael Wagner National Renewable Energy Laboratory Tom Ferguson, Paul Gilman, and Steven Janzou Independent Consultants Technical Report NREL/TP-6A20-61019 February 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the

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

    SciTech Connect (OSTI)

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

    2012-06-01

    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.

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

    SciTech Connect (OSTI)

    Turchi, C.

    2010-07-01

    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.

  10. Parabolic Trough Collector Cost Update for the System Advisor Model (SAM)

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

    Parabolic Trough Collector Cost Update for the System Advisor Model (SAM) Parthiv Kurup and Craig S. Turchi National Renewable Energy Laboratory Technical Report NREL/TP-6A20-65228 November 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No.

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

    SciTech Connect (OSTI)

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

    2013-02-01

    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.

  12. Parabolic Trough Collector Cost Update for the System Advisor Model (SAM)

    SciTech Connect (OSTI)

    Kurup, Parthiv; Turchi, Craig S.

    2015-11-01

    This report updates the baseline cost for parabolic trough solar fields in the United States within NREL's System Advisor Model (SAM). SAM, available at no cost at https://sam.nrel.gov/, is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry. SAM is the primary tool used by NREL and the U.S. Department of Energy (DOE) for estimating the performance and cost of concentrating solar power (CSP) technologies and projects. The study performed a bottom-up build and cost estimate for two state-of-the-art parabolic trough designs -- the SkyTrough and the Ultimate Trough. The SkyTrough analysis estimated the potential installed cost for a solar field of 1500 SCAs as $170/m2 +/- $6/m2. The investigation found that SkyTrough installed costs were sensitive to factors such as raw aluminum alloy cost and production volume. For example, in the case of the SkyTrough, the installed cost would rise to nearly $210/m2 if the aluminum alloy cost was $1.70/lb instead of $1.03/lb. Accordingly, one must be aware of fluctuations in the relevant commodities markets to track system cost over time. The estimated installed cost for the Ultimate Trough was only slightly higher at $178/m2, which includes an assembly facility of $11.6 million amortized over the required production volume. Considering the size and overall cost of a 700 SCA Ultimate Trough solar field, two parallel production lines in a fully covered assembly facility, each with the specific torque box, module and mirror jigs, would be justified for a full CSP plant.

  13. System Advisor Model

    Energy Science and Technology Software Center (OSTI)

    2010-03-01

    The System Advisor Model (SAM) is a performance and economic model designed to facilitate decision making for people involved in the renewable energy industry, ranging from project managers and engineers to incentive program designers, technology developers, and researchers.

  14. SAM Photovoltaic Model Technical Reference

    SciTech Connect (OSTI)

    Gilman, P.

    2015-05-27

    This manual describes the photovoltaic performance model in the System Advisor Model (SAM). The U.S. Department of Energy’s National Renewable Energy Laboratory maintains and distributes SAM, which is available as a free download from https://sam.nrel.gov. These descriptions are based on SAM 2015.1.30 (SSC 41).

  15. System Advisor Model Training | Department of Energy

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

    System Advisor Model Training System Advisor Model Training The Office of Indian Energy hosted a two-day training for Indian tribes on how to use the System Advisor Model (SAM) June 7-8, 2016, at Northern Arizona University in Flagstaff, Arizona. Developed by DOE's National Renewable Energy Laboratory, SAM is a free software tool that Indian tribes can use to analyze the feasibility of renewable energy projects. This training walked participants through the various technologies that can be

  16. Systems Advisor Model | Department of Energy

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

    Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on installation and operating costs and system design parameters that you specify as inputs to the model. Projects can be on the customer side of the utility meter - buying and selling electricity at retail rates - or on the utility side of the meter, selling electricity at a price negotiated through a power purchase agreement.

  17. System Advisor Model Includes Analysis of Hybrid CSP Option ...

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

    concepts related to power generation have been missing in the System Advisor Model (SAM). One such concept, until now, is a hybrid integrated solar combined-cycle (ISCC)...

  18. EERE Success Story-Uncle Sam Turns to SAM for Solar Modeling | Department

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

    of Energy Uncle Sam Turns to SAM for Solar Modeling EERE Success Story-Uncle Sam Turns to SAM for Solar Modeling July 9, 2015 - 11:15am Addthis EERE Success Story—Uncle Sam Turns to SAM for Solar Modeling When it comes to making performance predictions and cost-of-energy estimates for grid-connected power projects, you can trust SAM to make it happen. SAM, or the System Advisor Model, is a performance and financial analysis tool funded by the SunShot Initiative that was built based on

  19. System Advisor Model Training for Tribes

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy (DOE) Office of Indian Energy is hosting a two-day training for tribes on how to use the System Advisor Model, or SAM. The training will take place June 7–8, 2016, at...

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

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

    Energy System Advisor Model Enhancements for CSP Project Profile: System Advisor Model Enhancements for CSP NREL logo Since the first public release, over 35,000 people representing manufacturers, project developers, academic researchers, and policy makers have downloaded the System Advisor Model (SAM). Manufacturers are using the model to evaluate the impact of efficiency improvements or cost reductions in their products on the cost of energy from installed systems. Project developers use

  1. PROJECT PROFILE: System Advisor Model (SuNLaMP) | Department of Energy

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

    PROJECT PROFILE: System Advisor Model (SuNLaMP) PROJECT PROFILE: System Advisor Model (SuNLaMP) Funding Program: SuNLaMP SunShot Subprogram: Systems Integration Location: National Renewable Energy Laboratory, Golden, CO SunShot Award Amount: $2,232,000 This project focuses on the System Advisor Model (SAM) software created by the National Renewable Energy Laboratory (NREL). SAM is a performance and finance model designed to facilitate decision making for people involved in the renewable energy

  2. Linear Fresnel Technology added to System Advisor Model's Capabilities -

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

    News Releases | NREL Linear Fresnel Technology added to System Advisor Model's Capabilities Now utilities can get detailed information on siting, performance and finances February 8, 2012 A promising Concentrating Solar Power (CSP) technology that uses a stationary receiver tube and an array of mirrors mounted near the ground can now be accessed within the System Advisor Model (SAM), which predicts annual energy production, hourly performance and return on investment. The U.S. Department of

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

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    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.

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

    SciTech Connect (OSTI)

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

    2013-12-01

    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.

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

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2011-08-01

    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.

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

    SciTech Connect (OSTI)

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

    2013-08-01

    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.

  7. Solar Advisor Model User Guide for Version 2.0

    SciTech Connect (OSTI)

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

    2008-08-01

    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.

  8. Technical Manual for the SAM Physical Trough Model

    SciTech Connect (OSTI)

    Wagner, M. J.; Gilman, P.

    2011-06-01

    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.

  9. Technoeconomic Modeling of Battery Energy Storage in SAM

    SciTech Connect (OSTI)

    DiOrio, Nicholas; Dobos, Aron; Janzou, Steven; Nelson, Austin; Lundstrom, Blake

    2015-09-01

    Detailed comprehensive lead-acid and lithium-ion battery models have been integrated with photovoltaic models in an effort to allow System Advisor Model (SAM) to offer the ability to predict the performance and economic benefit of behind the meter storage. In a system with storage, excess PV energy can be saved until later in the day when PV production has fallen, or until times of peak demand when it is more valuable. Complex dispatch strategies can be developed to leverage storage to reduce energy consumption or power demand based on the utility rate structure. This document describes the details of the battery performance and economic models in SAM.

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

    Open Energy Info (EERE)

    total electricity production in kilowatt-hours for the first year based on hourly weather data for a particular location, and physical specifications of the power system...

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

    Open Energy Info (EERE)

    National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate...

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

    Open Energy Info (EERE)

    Resource assessment Resource Type: Case studiesexamples, Dataset, Guidemanual, Training materials, Softwaremodeling tools, Video User Interface: Desktop Application...

  13. Technical Manual for the SAM Biomass Power Generation Model

    SciTech Connect (OSTI)

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

    2011-09-01

    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.

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

    SciTech Connect (OSTI)

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

    2010-10-01

    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.

  15. Advisor

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

    Advisor Advisor Introduction Intel Advisor provides two workflows to help ensure that Fortran, C and C++ applications can make the most of today's processors: Vectorization Advisor identifies loops that will benefit most from vectorization, specifies what is blocking effective vectorization, finds the benefit of alternative data reorganizations, and increases the confidence that vectorization is safe. Threading Advisor is used for threading design and prototyping and to analyze, design, tune,

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

    SciTech Connect (OSTI)

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

    2014-08-01

    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.

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

    SciTech Connect (OSTI)

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

    2012-10-19

    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.

  18. PROJECT PROFILE: Improving PV performance Estimates in the System Advisor Model with Component and System Reliability Metrics

    Office of Energy Efficiency and Renewable Energy (EERE)

    This project will improve the forecasting of lifetime PV system performance as well as operations and maintenance costs by incorporating the Photovoltaic Reliability and Performance Model (PV-RPM) developed by Sandia into the widely-used Solar Advisor Model (SAM) software platform.

  19. Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR

    SciTech Connect (OSTI)

    Markel, T.; Wipke, K.

    2001-01-01

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

  20. Integration, Validation, and Application of a PV Snow Coverage Model in SAM

    SciTech Connect (OSTI)

    Ryberg, David; Freeman, Janine

    2015-09-01

    Due to the increasing deployment of PV systems in snowy climates, there is significant interest in a method capable of estimating PV losses resulting from snow coverage that has been verified for a wide variety of system designs and locations. A scattering of independent snow coverage models have been developed over the last 15 years; however, there has been very little effort spent on verifying these models beyond the system design and location on which they were based. Moreover, none of the major PV modeling software products have incorporated any of these models into their workflow. In response to this deficiency, we have integrated the methodology of the snow model developed in the paper by Marion et al. [1] into the National Renewable Energy Laboratory's (NREL) System Advisor Model (SAM). In this work we describe how the snow model is implemented in SAM and discuss our demonstration of the model's effectiveness at reducing error in annual estimations for two PV arrays. Following this, we use this new functionality in conjunction with a long term historical dataset to estimate average snow losses across the United States for a typical PV system design. The open availability of the snow loss estimation capability in SAM to the PV modeling community, coupled with our results of the nation-wide study, will better equip the industry to accurately estimate PV energy production in areas affected by snowfall.

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

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2012-09-01

    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.

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

    SciTech Connect (OSTI)

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

    2012-06-01

    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.

  3. Modeling Photovoltaic Module-Level Power Electronics in the System Advisor Model; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    2015-07-01

    Module-level power electronics, such as DC power optimizers, microinverters, and those found in AC modules, are increasing in popularity in smaller-scale photovoltaic (PV) systems as their prices continue to decline. Therefore, it is important to provide PV modelers with guidelines about how to model these distributed power electronics appropriately in PV modeling software. This paper extends the work completed at NREL that provided recommendations to model the performance of distributed power electronics in NREL’s popular PVWatts calculator [1], to provide similar guidelines for modeling these technologies in NREL's more complex System Advisor Model (SAM). Module-level power electronics - such as DC power optimizers, microinverters, and those found in AC modules-- are increasing in popularity in smaller-scale photovoltaic (PV) systems as their prices continue to decline. Therefore, it is important to provide PV modelers with guidelines about how to model these distributed power electronics appropriately in PV modeling software.

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

    SciTech Connect (OSTI)

    Blair, N.

    2008-04-01

    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.

  5. EERE Success Story-Uncle Sam Turns to SAM for Solar Modeling...

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

    Addthis Related Articles President Barack Obama delivers remarks on fuel efficiency standards for 2017-2025 model year cars and light-duty trucks during an event at the Washington ...

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

    SciTech Connect (OSTI)

    Wagner, M. J.

    2012-04-01

    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.

  7. Evaluating Behind-the-Meter Energy Storage Systems with NREL's System Advisor Model (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    Evaluating Behind-the- Meter Energy Storage Systems with NREL's System Advisor Model A new model helps companies assess the performance and economic effects of integrating battery energy storage systems into the electric grid. The Challenge Battery energy storage is a key enabling technology for the integration of large amounts of solar generation onto the electric distribution system. With an 80% drop in battery prices in the last six years and new mandates for energy storage solutions in

  8. Advisor for Threading

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

    Advisor for Threading Advisor for Threading Introduction Intel Advisor provides two tools to help the user to modify Fortran, C and C++ applications to take full performance advantage of today's processors: Vectorization Advisor is a vectorization optimization tool that lets the user identify loops that will benefit most from vectorization and locates what is blocking effective vectorization Threading Advisor is a threading design and prototyping tool that lets the user analyze, design, tune,

  9. 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.

    2013-08-01

    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).

  10. Summer 2011 Intern Project- Sam Ivry | Center for Energy Efficient

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

    Materials Sam Ivry ELECTRON TRANSFER ACROSS LIPOSOMES USING OLIGOELECTROLYTES Sam Ivry Chemical Engineering UC Santa Barbara Mentor: Alex Thomas Faculty Advisor: Gui Bazan Department: Chemistry and Biochemistry Specially designed conjugated oligoelectrolytes (COEs) have been shown to orient themselves within lipid bilayers and facilitate electron transfer from an electrode to aqueous, redox-active compounds. Here, we use liposomes in a proof of concept experiment to determine COEs' ability

  11. ARM - Campaign Instrument - sam

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

    or call us at 1-888-ARM-DATA. Send Campaign Instrument : Sun and Aureole Measurement (SAM) Instrument Categories Radiometric Campaigns CLASIC - SAM Support Download Data ...

  12. Economic Analysis Case Studies of Battery Energy Storage with SAM

    SciTech Connect (OSTI)

    DiOrio, Nicholas; Dobos, Aron; Janzou, Steven

    2015-11-01

    Interest in energy storage has continued to increase as states like California have introduced mandates and subsidies to spur adoption. This energy storage includes customer sited behind-the-meter storage coupled with photovoltaics (PV). This paper presents case study results from California and Tennessee, which were performed to assess the economic benefit of customer-installed systems. Different dispatch strategies, including manual scheduling and automated peak-shaving were explored to determine ideal ways to use the storage system to increase the system value and mitigate demand charges. Incentives, complex electric tariffs, and site specific load and PV data were used to perform detailed analysis. The analysis was performed using the free, publically available System Advisor Model (SAM) tool. We find that installation of photovoltaics with a lithium-ion battery system priced at $300/kWh in Los Angeles under a high demand charge utility rate structure and dispatched using perfect day-ahead forecasting yields a positive net-present value, while all other scenarios cost the customer more than the savings accrued. Different dispatch strategies, including manual scheduling and automated peak-shaving were explored to determine ideal ways to use the storage system to increase the system value and mitigate demand charges. Incentives, complex electric tariffs, and site specific load and PV data were used to perform detailed analysis. The analysis was performed using the free, publically available System Advisor Model (SAM) tool. We find that installation of photovoltaics with a lithium-ion battery system priced at $300/kWh in Los Angeles under a high demand charge utility rate structure and dispatched using perfect day-ahead forecasting yields a positive net-present value, while all other scenarios cost the customer more than the savings accrued.

  13. Cora Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    Cora Capital Advisors Jump to: navigation, search Logo: Cora Capital Advisors Name: Cora Capital Advisors Address: 445 Park Avenue, 9th Floor Place: New York Zip: 10022 Region:...

  14. DOE International Energy Advisors

    Broader source: Energy.gov [DOE]

    DOE’s Office of Electricity Delivery and Energy Reliability's (OE) Infrastructure Security and Energy Restoration Division (ISER) has coordinated and executed interagency support agreements with five of the geographic Combatant Commands to assign a DOE representative — a DOE Energy Advisor — to each of their headquarters.

  15. Hydroforming design and process advisor

    SciTech Connect (OSTI)

    Greer, J.T.; Ni, C.M.

    1996-10-10

    The hydroforming process involves hydraulically forming components by conforming them to the inner contours of a die. These contours can be complex and can often cause the material being formed to be stressed to rupture. Considerable process knowledge and materials modeling expertise is required to design hydroform dies and hydroformed parts that are readily formed without being overly stressed. For this CRADA, materials properties for steel tubes subjected to hydraulic stresses were collected; algorithms were developed which combined the materials properties data with process knowledge; and a user friendly graphical interface was utilized to make the system usable by a design engineer. A prototype hydroforming advisor was completed and delivered to GM. The technical objectives of the CRADA were met allowing for the development of an intelligent design systems, prediction of forming properties related to hydroforming, simulation and modeling of process execution, and design optimization. The design advisor allows a rapid and seamless approach to integration an otherwise enormous and onerous task of analysis and evaluation.

  16. Finance and Performance Model Training Helps Tribes with Energy Project Decision Making

    Broader source: Energy.gov [DOE]

    Earlier this month, the U.S. Department of Energy (DOE) Office of Indian Energy hosted a System Advisor Model (SAM) Training at Northern Arizona University (NAU) in Flagstaff, Arizona. We were excited to be on NAU’s campus and work in collaboration with their Institute for Tribal Environmental Professionals, which seeks to strengthen tribal capacity.

  17. Intel® Advisor XE

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

    Intel® Advisor XE 2013 Threading Assistant Copyright© 2012, Intel Corporation. All rights reserved. *Other brands and names are the property of their respective owners. Simplify and Speed Threading Design Intel ® Advisor XE - Threading Assistant The Challenge of Parallel Design: * Need to implement to measure performance * Implementation is time consuming * Disrupts regular product development * Testing difficult without tools Intel Advisor XE Separates Design & Implementation * Fast

  18. Intel® Advisor XE

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

    Design Then Implement Intel Advisor XE 2013 - Threading Assistant Intel Confidential 3 102413 Less Effort, Less Risk, More Impact Design Parallelism * No disruption ...

  19. Sam Barnett | Photosynthetic Antenna Research Center

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

    Sam Barnett Sam Barnett Sam Barnett Graduate Student E-mail: sbarnett1@sheffield.ac.uk Website: University of Sheffield Graduate Students

  20. UltimateAdvisor offers

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

    UltimateAdvisor offers you comprehensive legal insurance at an affordable cost. Protect your family, finances and future from everyday legal issues without the high cost of attorney fees. ∙ Employee: $5.55 semi-monthly ∙ Employee plus child(ren): $7.62 semi-monthly Questions about your insurance? Call us toll-free at 800-247-4184 or visit ARAGLegalCenter.com, Access Code 14822lal. Your Opportunity to Enroll is Limited - Take Control Today! Legal Insurance from ARAG ® Affordable Legal

  1. Quadrant Capital Advisors Inc | Open Energy Information

    Open Energy Info (EERE)

    Quadrant Capital Advisors Inc Jump to: navigation, search Name: Quadrant Capital Advisors Inc. Place: New York, New York Zip: 10022 Sector: Hydro, Wind energy Product: US based...

  2. North Cove Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    Cove Capital Advisors Jump to: navigation, search Name: North Cove Capital Advisors Place: Connecticut Sector: Carbon Product: North Cove is an advisory firm that works...

  3. Starlight Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    Starlight Capital Advisors Jump to: navigation, search Name: Starlight Capital Advisors Place: Carlsbad, California Zip: 92011 Sector: Renewable Energy Product: California-based...

  4. Hereford Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    Hereford Capital Advisors Jump to: navigation, search Name: Hereford Capital Advisors Place: Denver, Colorado Product: US-based firm offering PV project management and capital...

  5. Greentech Capital Advisors GCA | Open Energy Information

    Open Energy Info (EERE)

    Capital Advisors GCA Jump to: navigation, search Name: Greentech Capital Advisors (GCA) Place: New York, New York Zip: 10017 Sector: Renewable Energy Product: New York-based...

  6. Longboard Capital Advisors | Open Energy Information

    Open Energy Info (EERE)

    Longboard Capital Advisors Jump to: navigation, search Name: Longboard Capital Advisors Place: Santa Monica, California Zip: 90405 Product: Longboard is a small hedge fund focused...

  7. The Building Design Advisor

    SciTech Connect (OSTI)

    Papamichael, K.; LaPorta, J.; Chauvet, H.; Collins, D.; Trzcinski, T.; Thorpe, J.; Selkowitz, S.

    1996-03-01

    The Building Design Advisor (BDA) is a software environment that supports the integrated use of multiple analysis and visualization tools throughout the building design process, from the initial, schematic design phases to the detailed specification of building components and systems. Based on a comprehensive design theory, the BDA uses an object-oriented representation of the building and its context, and acts as a data manager and process controller to allow building designers to quickly navigate through the multitude of descriptive and performance parameters addressed by the analysis and visualization tools linked to the BDA. Through the Browser the user can edit the values of input parameters and select any number of input and/or output parameters for display in the Decision Desktop. The Desktop allows building designers to compare multiple design alternatives with respect to any number of parameters addressed by the tools linked to the BDA.

  8. Senior Advisor for Data Management

    Broader source: Energy.gov [DOE]

    This position is a management and technical advisor and is a direct report to the Director of SSAM. SSAM is responsible for the coordination of the collection of survey data, including developing...

  9. Sam Rashkin | Department of Energy

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

    Sam Rashkin About Us Sam Rashkin - Chief Architect, Building Technologies Office Sam Rashkin is Chief Architect of the Building Technologies Office in the Office of Energy Efficiency and Renewable Energy. Most Recent Hear What Homeowners Are Saying About Their Zero Energy Ready Homes April 20 Race to Zero Student Design Competition: Inspiring the Next Generation of Building Scientists April 23 Housing Innovation Awards Recognize Leadership in Residential Efficiency September 2

  10. System for Award Management (SAM):

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

    System for Award Management (SAM) ChallengeHER Opportunities for Women in Federal Contracting May 23, 2013 Judith R. Zawatsky General Services Administration You are here today because you want to: a) Get a contract with the federal government b) Get a grant from the federal government c) Increase the work you are already doing with the federal government d) Learn new acronyms WHERE DO YOU START? www.sam.gov WHAT IS SAM? The System for Award Management (SAM) is the Official U.S. Government

  11. NREL: News - Advisor 2002-A Powerful Vehicle Simulation Tool Gets Better

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

    Advisor 2002-A Powerful Vehicle Simulation Tool Gets Better Golden, Colo., June 11, 2002 A powerful tool for the analysis of advanced and conventional vehicles just got better with the release of ADVISOR 2002. ADVISOR (ADvanced VehIcle SimulatOR) was created by the U.S. Department of Energy's National Renewable Energy Laboratory's (NREL) Center for Transportation Technologies and Systems. It's a flexible modeling tool that rapidly assesses the performance and fuel economy of conventional,

  12. Cora Capital Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    Advisors LLC Jump to: navigation, search Name: Cora Capital Advisors LLC Place: New York, New York Zip: 10022 Sector: Renewable Energy Product: New York-based investment bank and...

  13. Substation alarm multiplexing system (SAMS)

    SciTech Connect (OSTI)

    ElBadaly, H.; Gaughan, J.; Ward, G.; Amengual, S.

    1996-03-01

    This paper describes an on going R&D project to develop, design, install, and assess the field performance of an advanced substation alarm system. SAMS provides a highly fault-tolerant system for the reporting of equipment alarms. SAMS separates and identifies each of the multiple alarm contacts, transmits an alarm condition over existing substation two-wire system, and displays the alarm source, and its associated technical information, on a touch-screen monitor inside the substation control room, and a remote central location and on a hand held terminal which may be carried anywhere within the substation. SAMS is currently installed at the Sherman Creek substation in the Bronx for the purpose of a three month field evaluation.

  14. Capitaline Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Product: Private equity firm based in Sioux Falls, focusing on bioethanol and renewable energy investments. References: Capitaline Advisors LLC1 This...

  15. Daniel Yates Advisor: Dr. Rogachev Texas...

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

    gas mixtures for active target detector application Daniel Yates Advisor: Dr. Rogachev Texas Active Target (TexAT) New active target detector under development by Rogachev...

  16. Greenspire Advisors Limited | Open Energy Information

    Open Energy Info (EERE)

    predominantly in the renewable energy and waste management industry, regarding strategy, growth, raising finances and buying or selling. References: Greenspire Advisors...

  17. Advisors | Solid State Solar Thermal Energy Conversion

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

    Advisors Robert Armstrong Director, MIT Energy Initiative Visit Website George W. Crabtree Senior Scientist, Argonne National Laboratory Argonne Distinguished Fellow Visit Website ...

  18. Sam Bader | Argonne National Laboratory

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

    Sam Bader Chief Scientist, Emeritus Ph.D., University of California, Berkeley Argonne Distinguished Fellow Application of nanotechnology to create novel permanent magnets (spring magnets); exploration of laterally confined nanomagnets; development of magnetic electronics; bio-inspired self-assembly of magnetic nanostructures; magnetic surfaces, films, wedges and superlattices, including hybrid structures, such as novel ferromagnetic-superconducting multilayers; giant magnetoresistance and

  19. SAMS Overview | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    SAMS Overview U.S. Department of Energy / U.S. Nuclear Regulatory Commission Nuclear Materials Management & Safeguards System SAMS Overview SAMS is a facility-based version of the Nuclear Material Management and Safeguards System (NMMSS) software maintained by the U.S. Department of Energy (DOE) and the U.S. Nuclear Regulatory Commission (NRC). The SAMS software package provides the NMMSS user the ability to input data and perform edit checks at their facility for transactions, material

  20. NNSA Science Advisor John Maenchen Named as IEEE Fellow | National...

    National Nuclear Security Administration (NNSA)

    Science Advisor John Maenchen Named as IEEE Fellow | National Nuclear Security ... Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA Science Advisor ...

  1. DB Climate Change Advisors DBCCA | Open Energy Information

    Open Energy Info (EERE)

    DB Climate Change Advisors DBCCA Jump to: navigation, search Name: DB Climate Change Advisors (DBCCA) Place: New York, New York Product: New York-based climate change investement...

  2. Feature-Based Measuring Advisor, Version 2.1

    Energy Science and Technology Software Center (OSTI)

    2002-07-22

    The purpose of Feature-Based Measuring Advisor (FBMeas Advisor) is a graphical user interface enabling users to more effectively interact with a solid model for measuring applications. Specifically, the FBMeas Advisor provides a user interface to the functions and capabilities of the FBMeas component technology. The FBMeas Advisor allows end users to visualize, organize, and document their measuring process plans and to facilitate the generation of a coordinate measuring machine part programs before a workpiece ismore » fabricated. The FBMeas Advisor permits the user to interact with an FBTol-enabled solid model to interactively and/or automatically create a set of measuring features (e.g., cylinders, planes, slots) that comply with national and international interface standards (i.e., DMIS (Dimensional Measuring Interface Standard, ISO 22063)). Measuring plans include defining measuring features interactively or automatically. Associating measuring features with appropriate tolerances and datum features via FBTol. Determining what measuring tasks (e.g., measure this feature to validate a size tolerance, measure this feature to establish a primary datum for a specific datum reference frame) are necessary to measure the feature. Assigning a measuring method to perform the task. For coordinate metrology measuring methods, measure points are determined interactively or automatically. Sensors and sensor configurations are defined, represented, and assigned to measuring methods. Measuring machines are defined, represented, and assigned to measure operations. Upon completion of a coordinate metrology measuring plan, FBMeas allows DMIS code segments to be generated, which can be used for DMIS-based CMM part programs.« less

  3. NEF Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name: NEF Advisors LLC Place: New York, New York Zip: 10022 Product: New York-based manager of the 'New Energy Fund' hedge fund that invests in stocks focused...

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

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

    DUNS, FFATA, SAM DUNS, FFATA, SAM Per American Recovery and Reinvestment Act and Federal Funding Accountability and Transparency Act federal regulations, subcontractors receiving...

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

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

    Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City ...

  6. Jimmy Winkler SRNS Senior Technical Advisor

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

    Jimmy Winkler SRNS Senior Technical Advisor Briefing for the DOE EM Robotics Team December 8, 2015 Nuclear Materials Management H Canyon and HB Line Processing K Area Plutonium Storage L Area Spent Fuel Storage 2 Agenda * Overview of facilities and possible application for advanced robotics - H Canyon - HB Line - L Area - K Area 3 Savannah River Site SRNS - Savannah River Nuclear Solutions SRR - Savannah River Remediation MOX - Mixed Oxide * 310 square miles * Major site contractors: SRNS, SRR *

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

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

    House of Representatives (May 9, 2013) Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on ...

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

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

    Written Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of Energy, before the Subcommittee on Energy and Water Development ...

  9. NNSA Science Advisor Named as IEEE Fellow | National Nuclear...

    National Nuclear Security Administration (NNSA)

    Science Advisor Named as IEEE Fellow November 30, 2011 WASHINGTON, D.C. - John Maenchen, ... Administration's (NNSA) Defense Programs Science Council, has been named as an Institute ...

  10. Notices FOR FURTHER INFORMATION CONTACT: Michael Li, Policy Advisor...

    Office of Environmental Management (EM)

    12, 2016 Notices FOR FURTHER INFORMATION CONTACT: Michael Li, Policy Advisor, Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy, 1000 Independence Ave. ...

  11. 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.

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

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

    Senior Advisor David Huizenga represented the Department of Energy's (DOE) Office of Environmental Management (EM) before the Subcommittee on Strategic Forces Armed Services ...

  13. Deputy Science Advisor to the Deputy Administrator for Defense Programs |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) Deputy Science Advisor to the Deputy Administrator for Defense Programs John Maenchen John Maenchen July 2009 Peter Haas Award from the Institute of Electrical and Electronic Engineers (IEEE) Dr. John Maenchen, deputy science advisor to the Deputy Administrator for Defense Programs, has received the prestigious Peter Haas Award from the Institute of Electrical and Electronic Engineers (IEEE). The Peter Haas Award is given by the IEEE's

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

    ScienceCinema (OSTI)

    Neal Lane

    2010-09-01

    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. Christina Behr-Andres named science advisor to governor

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

    Science advisor to governor Christina Behr-Andres named science advisor to governor Behr-Andres will aid indevelopment and promotion of science and technology policies for economic and educational opportunities. June 9, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos

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

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

    THE SYSTEM FOR AWARD MANAGEMENT (SAM) Eight federal procurement systems and the Catalog of Federal Domestic Assistance will be combined into one new system, the System for Award...

  17. Sam Houston Electric Coop Inc | Open Energy Information

    Open Energy Info (EERE)

    Houston Electric Coop Inc Jump to: navigation, search Name: Sam Houston Electric Coop Inc Place: Texas Phone Number: 888.444-1207 Website: www.samhouston.net Twitter:...

  18. OSTIblog Posts by Sam Rosenbloom | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    Sam Rosenbloom Sam Rosenbloom's picture Nuclear Engineer, Department of Energy The Successes of Government Science and Technology Science Communications Published on Oct 30, 2013 ...

  19. NREL: Concentrating Solar Power Research - Systems Analysis

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

    solar financial models developed and integrated into the System Advisor Model (SAM) software Grid penetration and life-cycle analysis studies The Solar-augment study of...

  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. Integration, Validation, and Application of a PV Snow Coverage...

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

    by Marion et al. (2013) into the National Renewable Energy Laboratory's (NREL) System Advisor Model (SAM). In this work, we describe how the snow model is implemented in SAM, and...

  2. Sam's Family Spa Pool & Spa Low Temperature Geothermal Facility...

    Open Energy Info (EERE)

    of Technology's Geo-Heat Center Retrieved from "http:en.openei.orgwindex.php?titleSam%27sFamilySpaPool%26SpaLowTemperatureGeothermalFacility&oldid305482" ...

  3. Sam Rayburn Municipal Pwr Agny | Open Energy Information

    Open Energy Info (EERE)

    Municipal Pwr Agny Jump to: navigation, search Name: Sam Rayburn Municipal Pwr Agny Place: Texas Phone Number: 936-336-3684 or 936-336-5666 Website: www.cityofliberty.orgGOVERNME...

  4. Utilities | Open Energy Information

    Open Energy Info (EERE)

    historic, in human and machine readable formats. See also the NREL System Advisor Model (SAM) and NREL's BEOpt. Utility Outage Information dataset - Information and resources...

  5. Wind Resource Assessment | Open Energy Information

    Open Energy Info (EERE)

    Databases Global Renewable Energy Database Power Technologies Energy Data Book Solar and Wind Energy Resource Assessment (SWERA) System Advisor Model (SAM) Transparent Cost...

  6. Implications of the Scheduled Federal Investment Tax Credit Reversion...

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

    RPS renewable portfolio standard SACP solar alternative compliance payment SAM System Advisor Model SCCA Solar Credit Clearinghouse Auction (Massachusetts) SREC solar renewable...

  7. Announcing New Utility Rate Database and API Features! | OpenEI...

    Open Energy Info (EERE)

    more to come): Via the System Advisor Model for PV economic value analysis. See http:sam.nrel.gov for more information about downloading the free SAM tool and how utility rates...

  8. Optimization Notice Get Faster Code Faster! Intel® Advisor

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

    Copyright © 2016, Intel Corporation. All rights reserved. *Other names and brands may be claimed as the property of others. Optimization Notice Get Faster Code Faster! Intel® Advisor Vectorization Optimization Have you:  Recompiled for AVX2 with little gain  Wondered where to vectorize?  Recoded intrinsics for new arch.?  Struggled with compiler reports? Data Driven Vectorization:  What vectorization will pay off most?  What's blocking vectorization? Why?  Are my loops

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

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

    Wising Up Uncle Sam to Cybertricks Wising Up Uncle Sam to Cybertricks November 22, 2011 - 12:15pm Addthis Oak Ridge National Laboratory’s main entrance is marked by a limestone sign. Several new buildings visible in the background house more than 1,000 of the lab’s 4,300 employees. | Photo courtesy of Oak Ridge National Laboratory Oak Ridge National Laboratory's main entrance is marked by a limestone sign. Several new buildings visible in the background house more than 1,000 of the

  10. SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building

    Office of Environmental Management (EM)

    SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building 61 Forsyth Street SW, Atlanta, GA 30303 April 12, 2016 April 11, 2016: Meet on the Glenn Hotel roof at 5:30 p.m. to partake of the manager's welcome wine tasting reception. At 6:15 we will walk to Dutch-treat dinner at Der Biergarten, 300 Marietta St NW, Atlanta, GA 30313. April 12, 2016: The meeting will begin at 8:30 a.m. in the Sam Nunn Federal Building, Social Security Administration's conference room on the 20 th floor, Room

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

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

    and read the GAO report. Addthis Related Articles Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% Solar Energy to Benefit from New FERC Interconnection...

  12. Silicon-Based Tracking Detector Development Advisors: Mark Kruse and Ayana Arce

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

    Experience for Undergraduates (REU) @ TUNL Projects for 2012 Silicon-Based Tracking Detector Development Advisors: Mark Kruse and Ayana Arce Hardware-based project with the silicon stave test-stand setups at Duke and at CERN. Using Color Flow Observables to Constrain Multiple-Parton Interaction Uncertainties Advisor: Ayana Arce Analysis project with ATLAS data (ttbar candidate events) and various simulated data samples. Measurement of D meson Production in Central Pb-Pb Collisions Advisors:

  13. Memo for Sam Callahan - Recommendation for change to DOE O 474...

    Office of Environmental Management (EM)

    for Sam Callahan - Recommendation for change to DOE O 474.2, Nuclear Material Control and Accountability Memo for Sam Callahan - Recommendation for change to DOE O 474.2, Nuclear...

  14. Sam Rayburn G&T Elec Coop Inc | Open Energy Information

    Open Energy Info (EERE)

    Sam Rayburn G&T Elec Coop Inc Jump to: navigation, search Name: Sam Rayburn G&T Elec Coop Inc Place: Texas Phone Number: (936) 560-9532 Outage Hotline: (936) 560-9532 References:...

  15. Delay of Rollout of the System for Award Management (SAM) by the General Services Administration (GSA)

    Broader source: Energy.gov [DOE]

    Policy Flash 2012-45 provided information on the new SAM system. GSA announced that the rollout of SAM will be delayed until the end of July, 2012. At that time the Central Contractor Registration (CCR), Federal Agency Regulation (FedReg), Online Representatives and Certification Application (ORCA) and the Excluded Parties List System (EPLS) will go live in SAM.

  16. Geralyn "Sam" Zeller

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

    Useful Links Useful Links: The NuValidator: neutrino interaction model validation tool by Costas Andreopoulos Durham Low Energy Neutrino Cross Section Database Durham Reaction Database NUANCE Neutrino Generator homepage NEUGEN Monte Carlo homepage List of Super-Kamiokande Theses MiniBooNE homepage

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

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    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).

  18. 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.

  19. Non-canonical active site architecture of the radical SAM thiamin pyrimidine synthase

    SciTech Connect (OSTI)

    Fenwick, Michael K.; Mehta, Angad P.; Zhang, Yang; Abdelwahed, Sameh H.; Begley, Tadhg P.; Ealick, Steven E.

    2015-03-27

    Radical S-adenosylmethionine (SAM) enzymes use a [4Fe-4S] cluster to generate a 5'-deoxyadenosyl radical. Canonical radical SAM enzymes are characterized by a β-barrel-like fold and SAM anchors to the differentiated iron of the cluster, which is located near the amino terminus and within the β-barrel, through its amino and carboxylate groups. Here we show that ThiC, the thiamin pyrimidine synthase in plants and bacteria, contains a tethered cluster-binding domain at its carboxy terminus that moves in and out of the active site during catalysis. In contrast to canonical radical SAM enzymes, we predict that SAM anchors to an additional active site metal through its amino and carboxylate groups. Superimposition of the catalytic domains of ThiC and glutamate mutase shows that these two enzymes share similar active site architectures, thus providing strong evidence for an evolutionary link between the radical SAM and adenosylcobalamin-dependent enzyme superfamilies.

  20. 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...

  1. NREL: Energy Analysis - Models and Tools Archive

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

    are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including...

  2. Technoeconomic Modeling of Battery Energy Storage in SAM

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

    ... charging from the PV array if PV production exceeded ... Hybrid Energy Systems," Solar Energy, vol. 50, 1993. 6 ... May 2015. 11 Valentin Software, "PV*SOL," 2015. Online. ...

  3. Rollout of the System for Award Management (SAM) by the General Services Administration (GSA)

    Broader source: Energy.gov [DOE]

    On May 29, 2012, GSA will begin combining nine Government systems into one, SAM. The first systems to be incorporated into SAM are the Central Contractor Registration (CCR), Federal Agency Regulation (FedReg), Online Representatives and Certification Application (ORCA) and the Excluded Parties List System (EPLS).

  4. Experimental study of the Self-Advancing Miner for coal (SAM). Final technical report

    SciTech Connect (OSTI)

    Douglas, S.B.

    1981-08-01

    The design, fabrication, and field testing of the Rapidex Self-Advancing Miner (SAM) are discussed in detail. The SAM concept utilizes a unique conical screw geometry to excavate coal by first slotting the face and then breaking free the weakened material between slots. Field tests proved that the technique works well in coal and that the SAM does self advance along the face. Using the experimental data obtained, full scale estimates are made for four mining applications. Longwall mining with SAM cutterheads appears the most feasible and offers many operational advantages, including improved dust control. Other key SAM features are increased cutting efficiency, improved face control to minimize slabbing, and low methane emission and risk of face ignitions.

  5. Senior Advisor Huizenga's Written Statement before the House Armed Services Subcommittee on Strategic Forces (April 17, 2012)

    Broader source: Energy.gov [DOE]

    Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of Energy before the Subcommittee on Strategic Forces, Committee on Armed Services, United States...

  6. Senior Advisor Huizenga's Written Statement before the House Energy and Water Development Subcommittee on Appropriations (March 21, 2012)

    Broader source: Energy.gov [DOE]

    Written Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of Energy, before the Subcommittee on Energy and Water Development Committee on...

  7. Senior Advisor Huizenga's Written Statement before the Senate Armed Services Subcommittee on Strategic Forces (March 14, 2012)

    Broader source: Energy.gov [DOE]

    Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of Energy, before the Subcommittee on Strategic Forces, Committee on Armed Services, United States...

  8. Guide to good practices for the selection, training, and qualification of shift technical advisors

    SciTech Connect (OSTI)

    1993-02-01

    The DOE Guide to Good Practices For the Selection, Training, and Qualification of Shift Technical Advisors can be used by any DOE nuclear facility that has implemented the shift technical advisor (STA) position. DOE Order 5480.20A, Personnel Selection, Qualification and Training Requirements for DOE Nuclear Facilities, states that only Category A reactors must have a shift technical advisor. However, many DOE nuclear facilities have implemented the shift technical advisor position to provide independent on-shift technical advice and counsel to the shift operating personnel to help determine cause and mitigation of facility accidents. Those DOE nuclear facilities that have implemented or are going to implement the shift technical advisor position will find this guide useful. This guide addresses areas that may be covered by other training programs. In these cases, it is unnecessary (and undesirable) to duplicate these areas in the STA training program as long as the specific skills and knowledge essential for STAs are addressed. The guide is based on the premise that the trainee has not completed any facility-specific training other than general employee training.

  9. Secretary Moniz's Keynote at the Sam Nunn Policy Forum in Atlanta...

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

    2000 from the Nunn school here in international affairs. And she has walked Sam Nunn's talk for the last decade-plus. I think (she was) personally involved in the HEU removal from...

  10. Microsoft Word - NMMSS News - SpecialEdition - SAMS 4_1.doc

    National Nuclear Security Administration (NNSA)

    BY NAC INTERNATIONAL SPECIAL EDITION NEW VERSION OF SAMS IS AVAILABLE Version 4.1 of ... previously encountered by users and also includes several new features requested by users. ...

  11. Introducing SAM (Sun and Aureole Measurement), a New, Ground-based

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

    Capability for Measuring Cloud Optical Properties Introducing SAM (Sun and Aureole Measurement), a New, Ground-based Capability for Measuring Cloud Optical Properties DeVore, John Visidyne, Inc. Stair, A Visidyne McClatchey, Robert McClatchey Associates Category: Instruments Visidyne has developed a new, ground-based capability for the remote measurement of cloud and aerosol optical properties. Named SAM, for Sun and Aureole Measurement, this system makes precise measurements of the radiance

  12. Non-canonical active site architecture of the radical SAM thiamin pyrimidine synthase

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

    Fenwick, Michael K.; Mehta, Angad P.; Zhang, Yang; Abdelwahed, Sameh H.; Begley, Tadhg P.; Ealick, Steven E.

    2015-03-27

    Radical S-adenosylmethionine (SAM) enzymes use a [4Fe-4S] cluster to generate a 5'-deoxyadenosyl radical. Canonical radical SAM enzymes are characterized by a β-barrel-like fold and SAM anchors to the differentiated iron of the cluster, which is located near the amino terminus and within the β-barrel, through its amino and carboxylate groups. Here we show that ThiC, the thiamin pyrimidine synthase in plants and bacteria, contains a tethered cluster-binding domain at its carboxy terminus that moves in and out of the active site during catalysis. In contrast to canonical radical SAM enzymes, we predict that SAM anchors to an additional active sitemore » metal through its amino and carboxylate groups. Superimposition of the catalytic domains of ThiC and glutamate mutase shows that these two enzymes share similar active site architectures, thus providing strong evidence for an evolutionary link between the radical SAM and adenosylcobalamin-dependent enzyme superfamilies.« less

  13. CREST Wind | Open Energy Information

    Open Energy Info (EERE)

    and cherry-picked the best features. For those who find NREL's System Advisor Model (SAM) too complex for their analysis needs but still want an analytically robust levelized...

  14. CREST Solar | Open Energy Information

    Open Energy Info (EERE)

    and cherry-picked the best features. For those who find NREL's System Advisor Model (SAM) too complex for their analysis needs but still want an analytically robust levelized...

  15. Impact of Rate Design Alternatives on Residential Solar Customer...

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

    Electric Company PSCo Public Service Company of Colorado PV photovoltaic SAM System Advisor Model TMY3 Typical Meteorological Year 3 TOU time-of-use VEPCo Virginia Electric and...

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

    National Nuclear Security Administration (NNSA)

    Electronic Input Options Gary L. Hirsch Project Lead SAMSSAMS 8.0 / SAMS Converter * Distributed 113 copies * Distributed a classification override patch * Distributed ARF file update 2 SAMS  Issues - Installation - Infrastructure & System Requirements - Learning Curve  Make it Simple and Easy 3 Fill-able Forms  NMMSS Fill-able Forms * DOE/NRC Form 741 * DOE/NRC Form 742 * DOE/NRC Form 742C - html forms that can be accessed via NMMSS website - Installation has minimal

  17. Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City

    Office of Energy Efficiency and Renewable Energy (EERE)

    Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City, a publication of the U.S. Department of Energy's Better Buildings Program.

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

    Broader source: Energy.gov [DOE]

    Written Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of Energy, before the Subcommittee on Energy and Water Development Committee on...

  19. President¬タルs Council of Advisors on Science and Technology (PCAST) Prepare and Inspire Report (2010)

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

    REPORT TO THE PRESIDENT PREPARE AND INSPIRE: K-12 EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATH (STEM) FOR AMERICA'S FUTURE Executive Office of the President President's Council of Advisors on Science and Technology SEPTEMBER 2010 PREPUBLICATION VERSION REPORT TO THE PRESIDENT PREPARE AND INSPIRE: K-12 EDUCATION IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATH (STEM) FOR AMERICA'S FUTURE Executive Office of the President President's Council of Advisors on Science and Technology SEPTEMBER

  20. Notices FOR FURTHER INFORMATION CONTACT: Michael Li, Policy Advisor, Office of

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

    1 Federal Register / Vol. 81, No. 29 / Friday, February 12, 2016 / Notices FOR FURTHER INFORMATION CONTACT: Michael Li, Policy Advisor, Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy, 1000 Independence Ave. SW., Washington, DC 20585. Phone number 202-287-5189, and email Michael.li@ ee.doe.gov. SUPPLEMENTARY INFORMATION: Purpose of the Board: To make recommendations to the Assistant Secretary for the Office of Energy Efficiency and Renewable Energy regarding goals and

  1. Assistant Secretary Cathy Zoi and Senior Advisor Matt Rogers to Participate

    Office of Environmental Management (EM)

    Asset Utilization Index (AUI) Guidance Asset Utilization Index (AUI) Guidance AUI Guidance_090227.pdf (40.37 KB) More Documents & Publications Three Year Rolling Timeline The Department’s real property assets are vital to the accomplishment of its mission Three-year Rolling Timeline in Platts Energy Reporter Roundtable | Department of Energy

    Cathy Zoi and Senior Advisor Matt Rogers to Participate in Platts Energy Reporter Roundtable Assistant Secretary Cathy Zoi and Senior

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

    ScienceCinema (OSTI)

    Rogers, Matt

    2013-05-29

    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

  3. Distributed processing and analysis of physics data in the D0 SAM system at Fermilab

    SciTech Connect (OSTI)

    Igor V. Terekhov

    2001-08-30

    SAM (Sequential Access through Meta-data) is the data access system for the D0 high energy physics (HEP) experiment at Fermilab. The system is being developed and used to handle the Petabyte-scale experiment data. The D0 applications, like virtually all HEP applications, are data-intensive, which poses special problems for the data management and job control facilities in the distributed environment. The fundamental problem is to bring the user applications and the data together, and SAM attacks the problems from both sides. First, we describe how the system moves the data through the distributed disk cache. Second, we describe how SAM interacts with the batch system to synchronize parallel user jobs with the data availability. All the design solutions herein have been implemented in a real system that handles the mission-critical data of the D0 experiment; thus, we present our work from the standpoint of real experience.

  4. Data handling with SAM and art at the NOvA experiment

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

    Aurisano, A.; Backhouse, C.; Davies, G. S.; Illingworth, R.; Mayer, N.; Mengel, M.; Norman, A.; Rocco, D.; Zirnstein, J.

    2015-12-23

    During operations, NOvA produces between 5,000 and 7,000 raw files per day with peaks in excess of 12,000. These files must be processed in several stages to produce fully calibrated and reconstructed analysis files. In addition, many simulated neutrino interactions must be produced and processed through the same stages as data. To accommodate the large volume of data and Monte Carlo, production must be possible both on the Fermilab grid and on off-site farms, such as the ones accessible through the Open Science Grid. To handle the challenge of cataloging these files and to facilitate their off-line processing, we havemore » adopted the SAM system developed at Fermilab. SAM indexes files according to metadata, keeps track of each file's physical locations, provides dataset management facilities, and facilitates data transfer to off-site grids. To integrate SAM with Fermilab's art software framework and the NOvA production workflow, we have developed methods to embed metadata into our configuration files, art files, and standalone ROOT files. A module in the art framework propagates the embedded information from configuration files into art files, and from input art files to output art files, allowing us to maintain a complete processing history within our files. Embedding metadata in configuration files also allows configuration files indexed in SAM to be used as inputs to Monte Carlo production jobs. Further, SAM keeps track of the input files used to create each output file. Parentage information enables the construction of self-draining datasets which have become the primary production paradigm used at NOvA. In this study we will present an overview of SAM at NOvA and how it has transformed the file production framework used by the experiment.« less

  5. OSTIblog Posts by Sam Rosenbloom | OSTI, US Dept of Energy Office of

    Office of Scientific and Technical Information (OSTI)

    Scientific and Technical Information Sam Rosenbloom Sam Rosenbloom's picture Nuclear Engineer, Department of Energy The Successes of Government Science and Technology Science Communications Published on Oct 30, 2013 Sorry due to allocation we can serve no more gasoline today Theodore Roosevelt, in his famous speech "Citizenship In A Republic" starts by saying "it is not the critic who counts;" What makes the speech poignant is that all too often it is the critic who

  6. Secretary Moniz's Keynote at the Sam Nunn Policy Forum in Atlanta, GA --

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

    As Delivered | Department of Energy Keynote at the Sam Nunn Policy Forum in Atlanta, GA -- As Delivered Secretary Moniz's Keynote at the Sam Nunn Policy Forum in Atlanta, GA -- As Delivered April 16, 2014 - 11:35am Addthis Dr. Ernest Moniz Dr. Ernest Moniz Secretary of Energy Well, thank you. Professor Bankoff, Provost Bras, I'll also acknowledge the Bank of America support of this symposium and also my monthly support of the Bank of America which is quite considerable with those credit

  7. Application of Neutron-Absorbing Structural-Amorphous Metal (SAM) Coatings for Spent Nuclear Fuel (SNF) Container to Enhance Criticality Safety Control

    SciTech Connect (OSTI)

    Choi, J

    2007-01-12

    This report describes the analysis and modeling approaches used in the evaluation for criticality-control applications of the neutron-absorbing structural-amorphous metal (SAM) coatings. The applications of boron-containing high-performance corrosion-resistant material (HPCRM)--amorphous metal as the neutron-absorbing coatings to the metallic support structure can enhance criticality safety controls for spent nuclear fuel in baskets inside storage containers, transportation casks, and disposal containers. The use of these advanced iron-based, corrosion-resistant materials to prevent nuclear criticality in transportation, aging, and disposal containers would be extremely beneficial to the nuclear waste management programs.

  8. Microsoft PowerPoint - Effective Use of the Safeguards Management Software (SAMS)_John Ballard [Compatibility Mode]

    National Nuclear Security Administration (NNSA)

    Effective Use of the Safeguards Management Software (SAMS) John Ballard - NMMSS SAMS 2 What is SAMS? 3 Facility based version of the NMMSS software Functionality and look of the system are similar to NMMSS Benefits to Users Provides NMMSS user the ability to perform edit checks - Minimize errors Input transactions, material balance report, and inventory data - Simplifies reporting 4 Benefits to Users Enables NMMSS analyst to assist the user in real time while preparing facility

  9. A Workflow-based Intelligent Network Data Movement Advisor with End-to-end Performance Optimization

    SciTech Connect (OSTI)

    Zhu, Michelle M.; Wu, Chase Q.

    2013-11-07

    Next-generation eScience applications often generate large amounts of simulation, experimental, or observational data that must be shared and managed by collaborative organizations. Advanced networking technologies and services have been rapidly developed and deployed to facilitate such massive data transfer. However, these technologies and services have not been fully utilized mainly because their use typically requires significant domain knowledge and in many cases application users are even not aware of their existence. By leveraging the functionalities of an existing Network-Aware Data Movement Advisor (NADMA) utility, we propose a new Workflow-based Intelligent Network Data Movement Advisor (WINDMA) with end-to-end performance optimization for this DOE funded project. This WINDMA system integrates three major components: resource discovery, data movement, and status monitoring, and supports the sharing of common data movement workflows through account and database management. This system provides a web interface and interacts with existing data/space management and discovery services such as Storage Resource Management, transport methods such as GridFTP and GlobusOnline, and network resource provisioning brokers such as ION and OSCARS. We demonstrate the efficacy of the proposed transport-support workflow system in several use cases based on its implementation and deployment in DOE wide-area networks.

  10. Policy Advisor

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Office of Energy Efficiency and Renewable Energys (EEREs) mission is to create and sustain American leadership in the global transition to a clean energy economy through high-impact research,...

  11. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Williams and Charles Russomanno of the U.S. Department of Energy (DOE) for input into the DOE Industrial Consortia Initiative and the 2015 DOE Quadrennial Technology Review. DOE Industrial Consortia Initiative Case Study: The Joint Center for Energy Storage Research (JCESR) This case study is an overview and description of the Joint Center for Energy Storage Research (JCESR), a DOE-sponsored Energy Innovation Hub with

  12. I Mr. Sam Popowcer, PE Senior Project Manager BCM Engineers, Inc.

    Office of Legacy Management (LM)

    wrgv %%A% Washington, DC 20585 WY, 0 I Mr. Sam Popowcer, PE Senior Project Manager BCM Engineers, Inc. 1 Plymouth Meeting Mall Plymouth Meeting, Pennsylvania 19462 Dear Mr. Popowcer: This is a follow-up letter to our telephone conversation of July 24, 1991. Your company is providing research services to the U.S. Army Corps of Engineers for the Department of Defense former site restoration program. You requested information from the Department of Energy (DOE) concerning the Ashland Site in

  13. ALSO: BUILDING A BETTER MICROSYSTEM SPRAY IT AGAIN, SAM VR Tool Helps Prepare for Terrorist Attacks

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

    1999 - 2000 ALSO: BUILDING A BETTER MICROSYSTEM SPRAY IT AGAIN, SAM VR Tool Helps Prepare for Terrorist Attacks A QUARTERLY RESEARCH & DEVELOPMENT JOURNAL VOLUME 1, NO. 4 Z MACHINE Providing Clues to Astronomical Mysteries S A N D I A T E C H N O L O G Y [ From atop a 25-foot ladder, Sandian Larry Shipers examines a pair of cameras that provide feedback to a computer system that controls Sandia's automated painting system for the F-117 Nighthawk, also known as Stealth. The system sprays a

  14. Anodic Behavior of SAM2X5 Material Applied as Amorphous Coatings

    SciTech Connect (OSTI)

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

    2007-08-10

    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.

  15. Data handling with SAM and art at the NOvA experiment

    SciTech Connect (OSTI)

    Aurisano, A.; Backhouse, C.; Davies, G. S.; Illingworth, R.; Mayer, N.; Mengel, M.; Norman, A.; Rocco, D.; Zirnstein, J.

    2015-12-23

    During operations, NOvA produces between 5,000 and 7,000 raw files per day with peaks in excess of 12,000. These files must be processed in several stages to produce fully calibrated and reconstructed analysis files. In addition, many simulated neutrino interactions must be produced and processed through the same stages as data. To accommodate the large volume of data and Monte Carlo, production must be possible both on the Fermilab grid and on off-site farms, such as the ones accessible through the Open Science Grid. To handle the challenge of cataloging these files and to facilitate their off-line processing, we have adopted the SAM system developed at Fermilab. SAM indexes files according to metadata, keeps track of each file's physical locations, provides dataset management facilities, and facilitates data transfer to off-site grids. To integrate SAM with Fermilab's art software framework and the NOvA production workflow, we have developed methods to embed metadata into our configuration files, art files, and standalone ROOT files. A module in the art framework propagates the embedded information from configuration files into art files, and from input art files to output art files, allowing us to maintain a complete processing history within our files. Embedding metadata in configuration files also allows configuration files indexed in SAM to be used as inputs to Monte Carlo production jobs. Further, SAM keeps track of the input files used to create each output file. Parentage information enables the construction of self-draining datasets which have become the primary production paradigm used at NOvA. In this study we will present an overview of SAM at NOvA and how it has transformed the file production framework used by the experiment.

  16. Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces Armed Services Committee United States House of Representatives (May 9, 2013)

    Broader source: Energy.gov [DOE]

    Senior Advisor David Huizenga represented the Department of Energy’s (DOE) Office of Environmental Management (EM) before the Subcommittee on Strategic Forces Armed Services Committee United States...

  17. Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces Armed Services Committee United States Senate (May 8, 2013)

    Broader source: Energy.gov [DOE]

    Senior Advisor David Huizenga represented the Department of Energy’s (DOE) Office of Environmental Management (EM) before the Subcommittee on Strategic Forces Armed Services Committee United States...

  18. 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.

    2009-01-15

    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.

  19. A Standard Analysis Method (SAM) for the automated analysis of polychlorinated biphenyls (PCBs) in soils using the chemical analysis automation (CAA) paradigm: Validation and performance

    SciTech Connect (OSTI)

    Rzeszutko, C.; Johnson, C.R.; Monagle, M.; Klatt, L.N.

    1997-11-01

    The Chemical Analysis Automation (CAA) program is developing a standardized modular automation strategy for chemical analysis. In this automation concept, analytical chemistry is performed with modular building blocks that correspond to individual elements of the steps in the analytical process. With a standardized set of behaviors and interactions, these blocks can be assembled in a plug-and-play manner into a complete analysis system. These building blocks, which are referred to as Standard laboratory Modules (SLM), interface to a host control system that orchestrates the entire analytical process, from sample preparation through data interpretation. The integrated system is called a Standard Analysis Method (SAM). A SAM for the automated determination of polychlorinated biphenyls (PCBs) in soils, assembled in a mobile laboratory, is undergoing extensive testing and validation. The SAM consists of the following SLMs: a four-channel Soxhlet extractor, a high-volume concentration, a column clean-up, a gas chromatography, a PCB data-interpretation module, a robot, and a human-computer interface. The SAM is configured to meet the requirements specified in the US Environmental Protection Agency`s (EPA) SW-846 methods 3541/3620A/8082 for the analysis of PCBs in soils. The PCB SAM will be described along with the developmental test plan. Performance data obtained during developmental testing will also be discussed.

  20. Purification of 1-aminocyclopropane-1-carboxylate synthase from apple fruits using s-adenosyl (3,4 sup 14 C)-methionine (SAM) as a probe

    SciTech Connect (OSTI)

    Yip, Wingkip; Dong, Jianguo,; Yang, Shang Fa )

    1989-04-01

    Tomato ACC synthase is inactivated by its substrate SAM, with the moiety of aminobutyrate being covalently linked to ACC synthase during the catalytic reactions. A partial purified ACC synthase (the catalytic activity 100 {mu}mol/h{center dot}mg protein) from pellets of apple extract was incubated with (3,4{sup 14}C) SAM. Only one radioactive peak was revealed in a C-4 reverse phase HPLC and one radioactive band on SDS-PAGE with an M.W. of 48 kDa. Apple ACC synthase in native form is resistant to V8, {alpha}-chromtrypsin and carboxylpeptidase A digestion, but effectively inactivated by trypsin and ficin, as demonstrated by both the activity assay and SAM labeling. The radioactive protein cut from the SDS-PAGE was injected to three mice, two of the mice showed responses to the protein in western blot analysis. The antibodies from mice is currently under characterization.

  1. 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)

    User Services Deputy Group Lead Science Highlights from NERSC's Dirac GPU Testbed --- 1 --- June 2 5, 2 013 Top Dirac Projects in 2013 --- 2 --- Science Area Project T itle PI Node Hours Used Percent of T otal Nuclear Physics Polarized P roton T racking for R HIC a nd A GS V. R anjbar, Brookhaven N at L ab 24,000 40% Material Sciences Molecular S imulaNons o f Conjugated P olymers f or Organic P hotovoltaics A. Jayaraman, U . Colorado, B oulder 18,000 30% Material Sciences Modeling N

  2. Organizational Models Tribal Energy Development

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

    Organizational Models Tribal Energy Development Douglas C. MacCourt, Senior Policy Advisor United States Department of Energy, Office of Indian Energy National Tribal Webinar Series: Tribal Business Structures for Financing Projects Historical Paradigm * Energy facilities in Indian Country owned by non-tribal entities * Typical business model - Lease/royalty arrangement - Some exceptions, but very few * Tribal employment common, but management less common * Federal control over development of

  3. Spin polarisation of tt¯γγ production at NLO+PS with GoSam interfaced to MadGraph5_aMC@NLO

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

    van Deurzen, Hans; Frederix, Rikkert; Hirschi, Valentin; Luisoni, Gionata; Mastrolia, Pierpaolo; Ossola, Giovanni

    2016-04-22

    Here, we present an interface between the multipurpose Monte Carlo tool MadGraph5_aMC@NLO and the automated amplitude generator GoSam. As a first application of this novel framework, we compute the NLO corrections to pp→ tt¯H and pp→ tt¯γγ matched to a parton shower. In the phenomenological analyses of these processes, we focus our attention on observables which are sensitive to the polarisation of the top quarks.

  4. Attorney Advisor (Environmental)

    Broader source: Energy.gov [DOE]

    This is an Excepted Service position in the DOE Office of Environmental Management (EM), EM Consolidated Business Center (CBC), Office of Chief Counsel (OCC) and will be located in West Valley, NY....

  5. Attorney-Advisor

    Broader source: Energy.gov [DOE]

    About Job The Loan Programs Office (LPO) of the Department of Energy is recruiting one or more attorneys with bankruptcy, restructuring and creditors' rights experience with respect to project and...

  6. Safety Advisor (Nuclear Engineer)

    Broader source: Energy.gov [DOE]

    WHO MAY APPLY: Current or former (competitive and excepted service) Federal civilian employees; Veterans discharged under honorable conditions (this means an honorable or general discharge), AND...

  7. Safety Advisor (Nuclear Engineer)

    Broader source: Energy.gov [DOE]

    **This is an Excepted Service position. This appointment will not confer Competitive Service career-conditional or career tenure status. This means that if you are selected, you would have to...

  8. Attorney Advisor (Civil Rights)

    Broader source: Energy.gov [DOE]

    This position is located in the Office of Civil Rights (OCR), within the Office of Economic Impact and Diversity (ED), Department of Energy (DOE). The Office of Civil Rights (OCR) administer...

  9. UltimateAdvisor offers

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

    ... you cancel and reissue credit cards, driver's license, etc. ... are 100% paid-in-full when you work with a Network Attorney. ... Child support, visitation, andor alimony in conjunction ...

  10. Attorney Advisor (General)

    Broader source: Energy.gov [DOE]

    The Carlsbad Field Office (CBFO) is the lead U.S. Department of Energy (DOE) office responsible for managing, planning; integrating, and implementing National Transuranic (TRU) Waste Program (NTWP)...

  11. Mr. Leo H. ::sam

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

    A. Project Management Incentive Project A. I Management & 30% 205,996.20 93% 19 1,576.50 Excellent Business Systems Worker Safety A.2 & I leal th 30% 205,996.20 89% ...

  12. Photovoltaic systems are often described and marketed in terms of the DC power rating of their modules, expressed in $'s/Watt

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

    rd IEEE PVSC, San Diego, CA 2008 1 COMPARISON OF PV SYSTEM PERFORMANCE-MODEL PREDICTIONS WITH MEASURED PV SYSTEM PERFORMANCE Christopher P. Cameron, William E. Boyson, Daniel M. Riley Sandia National Laboratories, Albuquerque, NM 87185 ABSTRACT The U.S. Department of Energy has supported development of the Solar Advisor Model (SAM) to provide a common platform for evaluation of the solar energy technologies being developed with the support of the Department. This report describes a detailed

  13. Performance Modeling and Testing of Distributed Electronics in PV Systems; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Deline, C.

    2015-03-18

    Computer modeling is able to predict the performance of distributed power electronics (microinverters, power optimizers) in PV systems. However, details about partial shade and other mismatch must be known in order to give the model accurate information to go on. This talk will describe recent updates in NREL’s System Advisor Model program to model partial shading losses with and without distributed power electronics, along with experimental validation results. Computer modeling is able to predict the performance of distributed power electronics (microinverters, power optimizers) in PV systems. However, details about partial shade and other mismatch must be known in order to give the model accurate information to go on. This talk will describe recent updates in NREL’s System Advisor Model program to model partial shading losses.

  14. Project Profile: CSP Systems Analysis (SuNLaMP) | Department of Energy

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

    Project Profile: CSP Systems Analysis (SuNLaMP) Project Profile: CSP Systems Analysis (SuNLaMP) Funding Program: SuNLaMP SunShot Subprogram: CSP Location: National Renewable Energy Laboratory, Golden, CO SunShot Award Amount: $2,249,897 This project supports the National Renewable Energy Laboratory's (NREL) core capabilities in concentrating solar power (CSP) systems analysis, including upgrades to NREL's System Advisor Model (SAM), market analysis of CSP technologies, and cost benchmarking of

  15. 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

    2009-10-01

    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?

  16. Financial Analyst (Senior Policy Advisor)

    Broader source: Energy.gov [DOE]

    This position is located in the Treasury organization and directs financial planning and investment of funds for Bonneville Power Administration and exercises authority for receipt, disbursement,...

  17. General Engineer- Senior Technical Advisor

    Broader source: Energy.gov [DOE]

    **This is an Excepted Service position. This appointment will not confer Competitive Service career-conditional or career tenure status. This means that if you are selected, you would have to...

  18. The adhesion model as a field theory for cosmological clustering

    SciTech Connect (OSTI)

    Rigopoulos, Gerasimos

    2015-01-01

    The adhesion model has been proposed in the past as an improvement of the Zel'dovich approximation, providing a good description of the formation of the cosmic web. We recast the model as a field theory for cosmological large scale structure, adding a stochastic force to account for power generated from very short, highly non-linear scales that is uncorrelated with the initial power spectrum. The dynamics of this Stochastic Adhesion Model (SAM) is reminiscent of the well known Kardar-Parisi-Zhang equation with the difference that the viscosity and the noise spectrum are time dependent. Choosing the viscosity proportional to the growth factor D restricts the form of noise spectrum through a 1-loop renormalization argument. For this choice, the SAM field theory is renormalizable to one loop. We comment on the suitability of this model for describing the non-linear regime of the CDM power spectrum and its utility as a relatively simple approach to cosmological clustering.

  19. Sam Rashkin | Department of Energy

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

    Race to Zero Student Design Competition: Inspiring the Next Generation of Building Scientists April 23 Jump-Starting Zero Energy Home Design and Student Careers April 24 Thinking ...

  20. System for Award Management (SAM):

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

    (ORCA) * Excluded Parties List System (EPLS) WHAT DO I NEED TO DO? Create User ... Check email. Confirm Email. And.... NOW WHAT DO I DO? Login & Accept License Agreement Had ...

  1. Data production models for the CDF experiment

    SciTech Connect (OSTI)

    Antos, J.; Babik, M.; Benjamin, D.; Cabrera, S.; Chan, A.W.; Chen, Y.C.; Coca, M.; Cooper, B.; Genser, K.; Hatakeyama, K.; Hou, S.; Hsieh, T.L.; Jayatilaka, B.; Kraan, A.C.; Lysak, R.; Mandrichenko, I.V.; Robson, A.; Siket, M.; Stelzer, B.; Syu, J.; Teng, P.K.; /Kosice, IEF /Duke U. /Taiwan, Inst. Phys. /University Coll. London /Fermilab /Rockefeller U. /Michigan U. /Pennsylvania U. /Glasgow U. /UCLA /Tsukuba U. /New Mexico U.

    2006-06-01

    The data production for the CDF experiment is conducted on a large Linux PC farm designed to meet the needs of data collection at a maximum rate of 40 MByte/sec. We present two data production models that exploits advances in computing and communication technology. The first production farm is a centralized system that has achieved a stable data processing rate of approximately 2 TByte per day. The recently upgraded farm is migrated to the SAM (Sequential Access to data via Metadata) data handling system. The software and hardware of the CDF production farms has been successful in providing large computing and data throughput capacity to the experiment.

  2. Finance and Performance Model Training Helps Tribes with Energy...

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

    ... If you weren't able to attend the SAM Training but want to learn more, we've posted the presentations online. You can also download the free SAM tool on NREL's website, where there ...

  3. Implementation of Remaining Useful Lifetime Transformer Models in the Fleet-Wide Prognostic and Health Management Suite

    SciTech Connect (OSTI)

    Agarwal, Vivek; Lybeck, Nancy J.; Pham, Binh; Rusaw, Richard; Bickford, Randall

    2015-02-01

    Research and development efforts are required to address aging and reliability concerns of the existing fleet of nuclear power plants. As most plants continue to operate beyond the license life (i.e., towards 60 or 80 years), plant components are more likely to incur age-related degradation mechanisms. To assess and manage the health of aging plant assets across the nuclear industry, the Electric Power Research Institute has developed a web-based Fleet-Wide Prognostic and Health Management (FW-PHM) Suite for diagnosis and prognosis. FW-PHM is a set of web-based diagnostic and prognostic tools and databases, comprised of the Diagnostic Advisor, the Asset Fault Signature Database, the Remaining Useful Life Advisor, and the Remaining Useful Life Database, that serves as an integrated health monitoring architecture. The main focus of this paper is the implementation of prognostic models for generator step-up transformers in the FW-PHM Suite. One prognostic model discussed is based on the functional relationship between degree of polymerization, (the most commonly used metrics to assess the health of the winding insulation in a transformer) and furfural concentration in the insulating oil. The other model is based on thermal-induced degradation of the transformer insulation. By utilizing transformer loading information, established thermal models are used to estimate the hot spot temperature inside the transformer winding. Both models are implemented in the Remaining Useful Life Database of the FW-PHM Suite. The Remaining Useful Life Advisor utilizes the implemented prognostic models to estimate the remaining useful life of the paper winding insulation in the transformer based on actual oil testing and operational data.

  4. Nuclear Engineer (Senior Technical Advisor, Fleet Submarines)

    Broader source: Energy.gov [DOE]

    This position is being concurrently advertised to Status Applicants under vacancy announcement #16-NA30-07-MP. You must apply to the vacancy for which you wish to receive consideration. If you wish...

  5. Nuclear Engineer (Senior Technical Advisor, Surface Ships)

    Broader source: Energy.gov [DOE]

    This position is being concurrently advertised to Status Applicants under vacancy announcement #15-NA30-066-MP. You must apply to the vacancy for which you wish to receive consideration. If you...

  6. Richard Gerber! NERSC Senior Science Advisor

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

    HPCOR 2014 Enabling Data-Driven Scientific Discovery at DOE National Laboratories --- 1 --- June 1 8, 2 014 --- 2 --- HPCOR 2 014 s eeks t o h elp HPC f acili7es d evelop processes a nd b est p rac7ces f or d elivering systems a nd s ervices that e nable h igh performance data---driven s cien7fic d iscovery at the D OE n a7onal l aboratories. Richard Gerber, NERSC Dave Goodwin, DOE Fernanda Foer;er, ORNL Kevin Harms, ANL Ashley Barker, ORNL Rob Cunningham, LANL Karen Haskell, Sandia Lucy N

  7. Senior Advisor, Chief Information Security Officer | Department...

    Energy Savers [EERE]

    May Apply ALL U.S. CITIZENS Work Schedule FULL-TIME Work Type PERMANENT Series 2210 Salary Basis Per Year Grade 0000 Salary Min 121,956.00 Salary Max 183,300.00 Start Date...

  8. Continuous Diagnostics Advisor | Open Energy Information

    Open Energy Info (EERE)

    Cost: Paid OpenEI Keyword(s): Building Management, Building Systems, Compliance, Custom, Energy Management, Enterprise Management, Events, Scheduling, Sustainability Western...

  9. Richard Gerber! NERSC Senior Science Advisor

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

    5 User Survey Results - 1 - March 23, 2016 Customer Satisfaction 2 * Annual NERSC User Survey * Users score NERSC using a 1-7 scale - 7 Very satisfied - 6 Mostly satisfied - 5 Somewhat satisfied - 4 Neutral - 3 Somewhat dissatisfied - 2 Mostly dissatisfied - 1 Very dissatisfied * Minimum satisfactory score 5.25 * 729 survey respondents - Similar response rate as in previous years (~10%) - Represents 63% of raw hours used on NERSC systems - 3 - - 5 - - 6 - - 7 - Greatest Areas of Satisfaction and

  10. Senior Advisor for Strategic Engagement and Communications

    Broader source: Energy.gov [DOE]

    This position is located in the Office of the Chief Information Officer (CIO) in the U.S. Department of Energy. CIO is responsible for enabling the Department of Energy's urgent mission in energy,...

  11. Nuclear Engineer (Senior Technical Advisor, Reactor Engineering)

    Broader source: Energy.gov [DOE]

    This position is being concurrently advertised to Status Applicants under vacancy announcement #16-NA30-12-MP. You must apply to the vacancy for which you wish to receive consideration. If you wish...

  12. Richard Gerber! NERSC Senior Science Advisor

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

    NERSC 2014 User Survey Preliminary Results --- 1 --- May 2 7, 2 015 --- 2 --- --- 3 --- --- 4 --- --- 5 --- Thank you. --- 2 2...

  13. Senior Advisor, Power Systems Engineering Research & Development

    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...

  14. MCF Advisors LLC | Open Energy Information

    Open Energy Info (EERE)

    North Carolina Zip: 28202 Sector: Biomass, Renewable Energy, Services, Solar, Wind energy Product: Provide investment banking services to privately-held small to middle...

  15. Labor Compliance Advisor | Department of Energy

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

    The DOE LCA, the Assistant General Counsel for Labor and Pension Law, is a career civil ... The proposed Federal Acquisition Regulation rule implements the EO requirements to: ...

  16. DOE International Energy Advisors | Department of Energy

    Energy Savers [EERE]

    Stuttgart, Germany USNORTHCOM: U.S. Northern Command Peterson Air Force Base, CO USPACOM: U.S. Pacific Command Camp H.M. Smith, HI USSOUTHCOM: U.S. Southern Command Miami, FL

  17. Modeling

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

    Modeling & Analysis, News, News & Events, Photovoltaic, Renewable Energy, Research & Capabilities, Solar, Solar Newsletter, SunShot, Systems Analysis Sandia Develops Stochastic ...

  18. Modeling

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

    Monte Carlo modeling it was found that for noisy signals with a significant background component, accuracy is improved by fitting the total emission data which includes the...

  19. Modeling

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

    Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power ...

  20. Modeling

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

    ... Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid ...

  1. Modeling

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

    Science and Actuarial Practice" Read More Permalink New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, ...

  2. Modeling

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

    Though adequate for modeling mean transport, this approach does not address ... Microphysics such as diffusive transport and chemical kinetics are represented by ...

  3. Modeling

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

    with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2...

  4. Modeling

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

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the ...

  5. Geralyn "Sam" Zeller

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

    Conferences Upcoming Conferences: Link to upcoming neutrino meetings NuInt09 - 6th Int'l Workshop on Neutrino-Nucleus Interactions in the Few GeV Region (May 18-22, 2009, Sitges, Barcelona, Spain) Past Conferences: Elba X - Electron-Nucleus Scattering Workshop (June 23-27, 2008, Marciana Marina, Elba, Italy) NuFact08 - 10th Int'l Workshop on Neutrino Factories, Superbeams, and Betabeams (June 30-July 5, 2008, Valencia, Spain) Neutrino 08 - XXIII Int'l Conference on Neutrino Physics and

  6. Geralyn "Sam" Zeller

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

    Reference From: Lipari et al., Phys. Rev. Lett. 74, 4384 (1995) Quasi Elastic Scattering: Author Title Reference L.A. Ahrens et al. "Determination of the Neutrino Fluxes in the Brookhaven Wide-Band Beam" Phys. Rev. D34, 75 (1986) N.J. Baker et al. "Quasi-Elastic Neutrino Scattering: A Measurement of the Weak Nucleon Axial-Vector Form Factor" Phys. Rev. D23, 2499 (1981) C. Bleve et al. "Effects of Nuclear Re-Interactions in Quasi-Elastic Neutrino-Nucleus Scattering"

  7. ARM - Field Campaign - CLASIC - SAM Support

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

    Data Related Campaigns Cloud LAnd Surface Interaction Campaign (CLASIC) 2007.06.01, Miller, AAF Comments? We would love to hear from you Send us a note below or call us at...

  8. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

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

    SciTech Connect (OSTI)

    Stein, Joshua S.; Rautman, Christopher Arthur

    2003-02-01

    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.

  10. 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.

    2004-08-01

    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.

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

    SciTech Connect (OSTI)

    Stein, Joshua S.; Rautman, Christopher Arthur

    2005-04-01

    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. System level modeling of thermoelectric generators for automotive

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

    System for Award Management (SAM) ChallengeHER Opportunities for Women in Federal Contracting May 23, 2013 Judith R. Zawatsky General Services Administration You are here today because you want to: a) Get a contract with the federal government b) Get a grant from the federal government c) Increase the work you are already doing with the federal government d) Learn new acronyms WHERE DO YOU START? www.sam.gov WHAT IS SAM? The System for Award Management (SAM) is the Official U.S. Government

  13. Technology Advances Needed for Photovoltaics to Achieve Widespread Grid Price Parity

    Broader source: Energy.gov [DOE]

    To quantify the potential value of technological advances to the photovoltaics (PV) sector, this paper examines the impact of changes to key PV systems parameters on the levelized cost of energy (LCOE). The parameters selected include module manufacturing cost, efficiency, degradation rate, and service lifetime. NREL’s System Advisor Model (SAM) is used to calculate the lifecycle cost per kilowatt-hour (kWh) for residential, commercial, and utility-scale PV systems within the contiguous United States, with a focus on utility-scale. Different technological pathways to the Department of Energy’s SunShot goal of PV electricity that is at grid price parity with conventional electricity sources are illustrated. In addition, the impact of independent changes to individual parameters on 2015 baseline costs is shown. These results may be used to identify research directions with the greatest potential to impact the cost of PV electricity.

  14. Current and future costs for parabolic trough and power tower systems in the US market.

    SciTech Connect (OSTI)

    Turchi, Craig; Kolb, Gregory J.; Mehos, Mark Steven; Ho, Clifford Kuofei

    2010-08-01

    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.

  15. Value of Solar. Program Design and Implementation Considerations

    SciTech Connect (OSTI)

    Taylor, Mike; McLaren, Joyce; Cory, Karlynn; Davidovich, Ted; Sterling, John; Makhyoun, Miriam

    2015-03-01

    Here, we present an analysis that assesses the potential market type that might form in the United States under a VOS rate, given current national average solar costs and various incentive scenarios, for the most populous city in each state. Three hypothetical VOS tariffs were developed, based on assumptions of avoided fuel costs, avoided capacity, environmental benefits, and line losses, to represent a of range of possible VOS rates. The levelized cost of solar in 50 locations is calculated using NREL’s System Advisor Model (SAM) using input assumptions regarding system size, resource quality, avoided capacity (aka capacity factor) and a variety of incentives. Comparing the solar costs with the hypothetical VOS rates illustrates the various market types that may form under a VOS program, in different locations.

  16. 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.

    2010-10-01

    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.

  17. Spent nuclear fuel reprocessing modeling

    SciTech Connect (OSTI)

    Tretyakova, S.; Shmidt, O.; Podymova, T.; Shadrin, A.; Tkachenko, V.; Makeyeva, I.; Tkachenko, V.; Verbitskaya, O.; Schultz, O.; Peshkichev, I.

    2013-07-01

    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)

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

    SciTech Connect (OSTI)

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

    2010-12-01

    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.

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

    SciTech Connect (OSTI)

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

    2009-06-01

    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.

  20. Parabolic Trough Collector Cost Update for the System Advisor...

    Office of Scientific and Technical Information (OSTI)

    Research Org: National Renewable Energy Lab. (NREL), Golden, CO (United States) Sponsoring Org: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy ...

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

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

    Training Lead NERSC Overview --- 1 --- NERSC N ew U ser T raining September 10, 2013 --- 2 --- The m ission o f t he N a.onal E nergy Research S cien.fic C ompu.ng C enter (NERSC) i s t o a ccelerate s cien.fic discovery a t t he D OE O ffice o f S cience through h igh p erformance c ompu.ng and d ata a nalysis. National Energy Research Scientific Computing Center (NERSC) * NERSC i s a n a:onal s upercomputer c enter f unded b y the U.S. Department of Energy Office of Science (SC) - Supports S C

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

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

    User Services Group Lead NUG Webinar January 2014 --- 1 --- January 9 , 2 014 Agenda * Edison C onfigura6on f or A Y 2 014 * Alloca6on Y ear R ollover I ssues * Project D irectories p er P roject * NUG 2 014 U ser G roup M ee6ng * Automa6c I /O P rofiling f or Y our C ode * Give / T ake U 6lity f or S haring F iles * NUG Q ueue C ommiRee U pdate * User Survey Needs Your Input * Open D iscussion --- 2 --- Edison Update --- 3 --- Jeff B roughton NERSC D eputy f or O pera6ons Systems D epartment H

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

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

    Following is an abridged transcript of an interview with Elizabeth Babcock, community ... Elizabeth Babcock can be reached at elizabeth.babcock@denvergov.org. Learn more at ...

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

    Office of Environmental Management (EM)

    House of Representatives May 9, 2013 Good morning, Mr. Chairman, Ranking Member Cooper, and Members of the Subcommittee. I am pleased to be here today to represent the Department of Energy's (DOE) Office of Environmental Management (EM). I would like to provide the Members with an overview of the EM program, key accomplishments during the past year, 2013 planned accomplishments and progress to date, the projected impacts of sequestration, and planned accomplishments under the FY 2014 Request.

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

    Office of Environmental Management (EM)

    Senate May 8, 2013 Good afternoon, Mr. Chairman, Ranking Member Sessions, and Members of the Subcommittee. I am pleased to be here today to represent the Department of Energy's (DOE) Office of Environmental Management (EM). I would like to provide the Members with an overview of the EM program, key accomplishments during the past year, 2013 planned accomplishments and progress to date, the projected impacts of sequestration, and planned accomplishments under the FY 2014 Request. Overview of the

  6. Advise the Advisor: Secretary Chu on Energy Policy | Department...

    Energy Savers [EERE]

    Check out his video and answer these questions at WhiteHouse.govAdvise: President Obama has set a goal of reducing the amount of oil we import from the rest of the world by one ...

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

    Office of Environmental Management (EM)

    wastes, thousands of tons of spent nuclear fuel (SNF), over ten thousand containers of excess ... (Dollars in Thousands) (Includes Safeguards & Security Funding) FY 2012 FY 2014 ...

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

    Office of Environmental Management (EM)

    ... Planned for FY 2014 Continue shipments of Consolidated Edison Uranium Solidification Project material from the uranium-233 inventory in Building 3019A to Nevada for disposal. ...

  9. Richard Gerber! NERSC Senior Science Advisor! HPC Department...

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

    ... Aries high-speed "dragonfly" topology interconnect * 22 login nodes for advanced workflows and analy9cs * SLURM batch system * Lustre File system - 28 PB capacity, >700 GBsec peak ...

  10. VTA, SamTrans Look into Future with Bus Demo

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    induction motor for propulsion. Although there are several fuel cell chemistries and configura- tions, PEM is generally recog- nized as the best combination of electrochemistry, operating temperature, and weight for transportation applications. The fuel cell supplies electric current via an inverter to the propulsion motor, which is a proprietary design. This chassis- mounted, three-phase, induction motor is rated at 225 kW (369 horsepower). Hydrogen is stored onboard in eleven 5,000-psi

  11. SFC Ltd formerly SamWoo Film | Open Energy Information

    Open Energy Info (EERE)

    Solar Product: Korean manufacturer of various types of film, including light diffusion, printing, OHP, inkjet films and TPT-type backsheets for solar modules. Coordinates:...

  12. SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building

    Energy Savers [EERE]

    .........Barbara Smith, Kamau Sadiki 4. ACTACF Water Control ......... Virgil Hobbs, JW Smith 10. Other Discussion Items ...

  13. VTA, SamTrans Look into Future with Bus Demo

    Broader source: Energy.gov [DOE]

    Fact sheet describes the study being conducted on three fuel cell buses at the Santa Clara Valley Transportation Authority and the San Mateo County Transit District.

  14. DOE Challenge Home Program A Note From Sam Rashkin: Goodbye...

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

    ... Update your subscriptions, modify your password or email address, or stop subscriptions at any time on your subscriber preferences page. You will need your email address to log in. ...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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)....

  16. United States | OpenEI Community

    Open Energy Info (EERE)

    load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data Graham7781's picture Submitted by...

  17. TMY3 | OpenEI Community

    Open Energy Info (EERE)

    profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data Syndicate content...

  18. NREL Employee Appointed to Presidential Panel

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

    Employee Appointed to Presidential Panel For more information contact: e:mail: Public Affairs Golden, Colo., April 10, 1997 -- Sam Baldwin, international programs director for the U.S. Department of Energy's National Renewable Energy Laboratory (NREL), has been named to the President's Committee of Advisors on Science and Technology (PCAST) as the staff study director for PCAST's Energy Research and Development Panel. The panel will review current and projected U.S. energy research and

  19. Summer 2012 Intern Project- Kerim Tshimanga | Center for Energy Efficient

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

    Materials Kerim Tshimanga SURFACE MODIFICATION FOR STUDYING TRAP-LIMITED ELECTRON TRANSPORT IN ORGANIC ELECTRONIC MATERIALS Kerim Tshimanga Physics UC Santa Barbara Mentor: Sam Collins Faculty Advisor: Quyen Nguyen Department: Chemistry and Biochemistry In today growing energy crisis, renewable energy research has garnered significant interest in the scientific community. To that end, our lab has been studying optoelectronic devices, photovoltaic, light-emitting, etc. that employ polymers

  20. Summary 2011 Internship Projects | Center for Energy Efficient Materials

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

    1 Internship Projects Name Mentor Advisor Major Project Title Mark Bigham Teyeb Ould Ely Dan Morse Mechanical Engineering Reducing the Production Cost of 6-10 nm Barium Titanate for use in Battery Safety Devices Eugene Fang Ben Curtin John Bowers Electrical Engineering and Computer Science Silicon Nanowire Thermoelectric Devices Sam Ivry Alex Thomas Gui Bazan Chemical Engineering Electron Transfer Across Liposomes Using Oligoelectrolytes Eric Ling Borzoyeh Shojaei Chris Palmstrom Physics and

  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

    1990-09-01

    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. Modeling & Analysis

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

    Facilities, Modeling, Modeling, Modeling & Analysis, Modeling & Analysis, Renewable Energy, Research & Capabilities, Wind Energy, Wind News Virtual LIDAR Model Helps Researchers ...

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

    SciTech Connect (OSTI)

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

    2014-08-01

    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.

  4. Simulation and Modeling of Self-Assembled Monolayers of Carboxylic Acid Thiols on Flat and Nanoparticle Gold Surfaces

    SciTech Connect (OSTI)

    Techane, Sirnegeda D.; Baer, Donald R.; Castner, David G.

    2011-09-01

    Quantitative analysis of the 16-mercaptohexadecanoic acid self-assembled monolayer (C16 COOH-SAM) layer thickness on gold nanoparticles (AuNPs) was performed using simulation of electron spectra for surface analysis (SESSA) and x-ray photoelectron spectroscopy (XPS). XPS measurements of C16 COOH SAMs on flat gold surfaces were made at 9 different photoelectron take-off angles (5o to 85o in 5o increments), corrected using geometric weighting factors and then summed together to approximate spherical AuNPs. The SAM thickness and relative surface roughness (RSA) in SESSA were optimized to determine the best agreement between simulated and experimental surface composition. Based on the glancing angle results, it was found that inclusion of a hydrocarbon contamination layer on top the C16 COOH-SAM was necessary to improve the agreement between the SESSA and XPS results. For the 16 COOH-SAMs on flat Au surfaces, using a SAM thickness of 1.1Å/CH2 group, an RSA of 1.05 and a 1.5Å CH2-contamination overlayer (total film thickness = 21.5Å) for the SESSA calculations provided the best agreement with the experimental XPS data. After applying the appropriate geometric corrections and summing the SESSA flat surface compositions, the best fit results for the 16 COOH-SAM thickness and surface roughness on the AuNPs were determined to be 0.9Å/CH2 group and 1.06 RSA with a 1.5Å CH2-contamination overlayer (total film thickness = 18.5Å). The three angstrom difference in SAM thickness between the flat Au and AuNP surfaces suggests the alkyl chains of the SAM are slightly more tilted or disordered on the AuNP surfaces.

  5. OpenEI:OldGeoGateway | Open Energy Information

    Open Energy Info (EERE)

    Exploration Techniques Reference Materials GeoModels.png Geothermal Models & Tools GETEM SAM Geothermal Prospector Exploration Cost and Time Metric Georesource.png Resource...

  6. OpenEI:Old Geothermal Gateway | Open Energy Information

    Open Energy Info (EERE)

    Exploration Techniques Reference Materials GeoModels.png Geothermal Models & Tools GETEM SAM Geothermal Prospector Exploration Cost and Time Metric Georesource.png Resource...

  7. 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

    2011-09-29

    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

  8. Systems Modeling

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

    ... International Strategy for Water and Land Resources in Iraq Model US-Canada Algae Biofuel ... Generation Cost Simulation Model Iraq Water-Energy-Food Model The USMexico ...

  9. Jason Cole

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

    transfer affect conclusions from studies using prescribed sea surface temperatures? * SAM v6.5+solar Monte Carlo model * 150 day integrations over prescribed SST variations ...

  10. 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

    2013-03-18

    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.

  11. Modeling & Analysis

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

    News & Events, Renewable Energy, Research & Capabilities, Systems Analysis, Water Power Wave-Energy-Device Modeling: Developing A 1:17 Scaled Model Many theoretical studies show ...

  12. Photovoltaic Energy Valuation Model v 1.0

    Energy Science and Technology Software Center (OSTI)

    2012-01-09

    Currently, there is a need identified by Kennecott Land, as well as others in the real estate, appraisal and building industry to come up with a tool that is simple to use and can accurately value the electricity produced by a solar photovoltaic system. In the appraisal industry, comparable properties are used to help in the valuation of a residential property. Absent a comparable feature such as photovoltaic panels on a neighboring property, it ismore » difficult for appraisers to assign a value to that system. In many cases, photovoltaic systems are assigned a value of $0, which essentially ignores the value of energy being produced and being saved by the homeowner relative to the cost of energy they would otherwise have to purchase from the local utility. There are multiple programs that can calculate the value of the energy produced in terms of the payback period and desired internal rate of return, but none employ the concept of discounting the future value of the energy produced at any period in the expected lifetime of a photovoltaic energy system. By creating this spreadsheet, a necessary gap has been filled. It is the expectation that this product will be included in training programs aimed towards the local appraisal community in Salt Lake County, Utah as well as expand into training offered at the national level through the Appraisal Institute. This software product is an excel spreadsheet that is used to calculate the present value of future energy production for photovoltaic electricity generating systems on residential and commercial properties. Visual Basic (VB) code within the spreadsheet allows user data to be passed to the PVWatts System Advisor Model webservice (http://www.nrel.gov/rredc/pvwatts/) and back into the spreadsheet to estimate the annual solar energy production in Salt Lake County, Utah (as well as anywhere in the U.S.). VB is also used for a discount rate calculation and calls the most current Fannie Mae 30-Year Fixed Rate 60-day

  13. Lifecycle Model

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

    1997-05-21

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

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

    SciTech Connect (OSTI)

    Morrison, PI Hugh

    2012-09-21

    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).

  15. Modeling & Analysis

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

    National Solar Thermal Test Facility Nuclear ... Climate & Earth Systems Climate Measurement & Modeling ... Tribal Energy Program Intellectual Property Current EC ...

  16. Models & Tools

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  17. Phenomenological Modeling

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  18. Theory & Modeling

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

    Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing ... Heavy Duty Fuels DISI Combustion HCCISCCI Fundamentals Spray Combustion Modeling ...

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

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

    Acting User Services Group Lead Communicating with our Communities --- 1 --- June 1 2, 2 014 Who are our communities? DOE s takeholders Federal, s tate, & l ocal p olicy makers NERSC u sers NERSC s taff ScienCsts / LBNL ScienCfically interested and aware public General p ublic --- 2 --- Communication Methods * Personal c ontact w ith D OE m anagers * At e vents, i nvite: - DOE m anagers - Policy m akers a nd c ommunity l eaders - Science c ommunity - General p ublic w here a ppropriate -

  20. ADVISOR (ADvanced VehIcle SimulatOR) | Open Energy Information

    Open Energy Info (EERE)

    components (such as motors, batteries, catalytic converters, climate control systems, and alternative fuels) and other modifications that might affect fuel economy, performance, or...

  1. Mike Carr Senior Advisor to the Director, Energy Policy and Systems...

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

    ... and G. Scott, "Mapping and Assessment of the United States Ocean Wave Energy Resource," Electric Power Research Institute, Report Number 1024637, 2011. 2 K. Haas, H. Fritz, ...

  2. Danielle Carnival | Department of Energy

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

    Danielle Carnival About Us Danielle Carnival - Senior Policy Advisor, White House Office of Science and Technology Policy Most Recent by Danielle Carnival We the Geeks: Women Role Models March 18

  3. Tiered time-of-use rates | OpenEI Community

    Open Energy Info (EERE)

    Tiered time-of-use rates Home > Groups > Utility Rate Hello Last year, I found OpenEI via NREL's System Advisor Model, when I was considering a PV system for my home in PG&E's...

  4. commercial load | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  5. dataset | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  6. datasets | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  7. residential load | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  8. load profile | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  9. VISION Model

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

    VISION Model (Argonne National Laboratory) Objectives To provide estimates of the potential energy use, oil use, and carbon emission impacts of advanced light- and heavy-duty ...

  10. Autonomie Model

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

    Autonomie Model (Argonne National Laboratory) Objectives Perform simulations to assess the ... performance of advanced component and powertrain technologies in a vehicle system context. ...

  11. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05

    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

  12. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    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

  13. Next Generation Calibration Models with Dimensional Modeling...

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

    Calibration Models with Dimensional Modeling Next Generation Calibration Models with ... Calibration Optimization for Next Generation Diesel Engines An Accelerated Aging ...

  14. Prepared in response to formal guidance and a request by Sam...

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

    Review Technology Transition Case Study United States ... the performance of a mix of medium- and long-term ... 1gallon, and next-generation vehicles will bring even ...

  15. Prepared in response to formal guidance and a request by Sam...

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

    ... The CCSI Industry Advisory Board includes Energy Technology Providers (Babcock & Wilcox, General Electric, Alstom, ADA- ES), Design and Construction Companies (Fluor, URS, and ...

  16. OSTIblog Posts by Sam Rosenbloom | OSTI, US Dept of Energy, Office...

    Office of Scientific and Technical Information (OSTI)

    often it is the critic who counts because we see time and time again the media pointing out "how the strong man stumbles, or where the doer of deeds could have done them better." ...

  17. Microsoft PowerPoint - 5_g ARYWednesday 5-22 SAMS - Fillable...

    National Nuclear Security Administration (NNSA)

    required zip file - Extract files and save to Windows Folder (ex. Desktop) 7 Operation Demonstration - Opening Form - Entering Data - Saving XML File - Printing Form Saving ...

  18. Microsoft PowerPoint - SC-0023(SamPosterArmStm09).e.ppt

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

    Algorithm for Deriving Particle Size Distributions for Thin Clouds From Sun and Aureole ... in the column between the observer and the Sun, can be found from n(r) - ...

  19. Prepared in response to formal guidance and a request by Sam...

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

    ... 3. Funding for a 50% time business development staff ... entrepreneur-in-residence office hours and seminars. ... no CRADA IP yet Compact Membrane - successfully completed ...

  20. Prepared in response to formal guidance and a request by Sam...

    Office of Environmental Management (EM)

    It began operations in June, 2013. Although rare earth elements are high on every list of critical materials, not all rare earths are critical, and not all critical materials are ...

  1. A New Structural Form in the SAM/Metal-Dependent O;#8209;Methyltransfe...

    Office of Scientific and Technical Information (OSTI)

    ... Sponsoring Org: OTHERNIH Country of Publication: United States Language: ENGLISH Subject: 60 APPLIED LIFE SCIENCES; ANTIBIOTICS; BIOSYNTHESIS; CRYSTAL STRUCTURE; ENZYMES; ...

  2. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Transition Case Study Consortium for the Advanced Simulation of Light Water Reactors (CASL) A DOE Energy Innovation Hub Introduction: The following is a case study of one example of a relatively new research and development (R&D) funding modality of DOE known as Energy Innovation Hubs. This case study focuses on the Consortium for the Advanced Simulation of Light-water-reactors (CASL) to understand how it was formed, how its work is planned and managed, the governance of the consortium, how

  3. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Transition Case Study Carbon Capture Simulation Initiative (CCSI) The Carbon Capture Simulation Initiative (CCSI) grew out of a series of meetings conducted in early 2010 in response to a Presidential memorandum, which charged a Carbon Capture and Storage (CCS) Task Force to overcome the barriers to widespread, cost-effective deployment of CCS technology. These meetings included representatives from DOE HQ, industry (including energy companies and technology providers), and technical leaders

  4. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Transitions Case Study Critical Materials Institute (CMI) CMI: Accelerating Energy Innovations The Critical Materials Institute (CMI) is one of DOE's four Energy Innovation Hubs. Created in response to the "rare earth crisis" that emerged in 2010, the mission of the Critical Materials Institute is to assure supply chains of materials critical to clean energy technologies-enabling innovation in US manufacturing and enhancing US energy security. It began operations in June, 2013.

  5. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Transitions Case Study Combustion Research Facility (CRF) CRF: Pioneering Science and Technology Transition Approaches Established as the first Department of Energy (DOE) user facility in the 1970s and designated as a DOE collaborative research facility in 2008, the Combustion Research Facility (CRF) at Sandia National Laboratories (SNL) has served as a national and international leader in combustion science and technology for more than 30 years. Within the CRF, staff and visiting researchers

  6. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    of Energy (DOE) for input into the DOE Industrial Consortia Initiative and the 2015 DOE Quadrennial Technology Review. Technology Transition Case Study The Joint BioEnergy Institute (JBEI) The Joint BioEnergy Institute (JBEI) is one of three DOE Bioenergy Research Centers (BRCs) funded by Department of Energy (DOE) for five years starting in September 2007, with a second 5-year phase beginning in 2012. The ultimate goal for the BRCs is to "provide the fundamental science to underpin a

  7. Prepared in response to formal guidance and a request by Sam Baldwin, Ellen Will

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

    Review Technology Transition Case Study United States Advanced Battery Consortium 1. USABC Case Study Context Introduction of USABC and Technical Focus: The Department of Energy's (DOE's) Vehicle Technologies Office (VTO) supports the research, development, demonstration, and deployment of a broad portfolio of advanced transportation technologies that improve the nation's energy security by reducing dependence on petroleum, reduce greenhouse gas emissions, and strengthen U.S. global economic

  8. Prepared in response to formal guidance and a request by Sam...

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

    instantaneous generation with instantaneous demand, enabling widespread deployment of variable wind and solar electricity and increasing resilience, reliability and versatility. ...

  9. Energy Secretary Moniz to Keynote Sam Nunn Policy Forum in Atlanta

    Broader source: Energy.gov [DOE]

    Secretary Moniz will make a key announcement and meet with Georgia Tech students, discuss DOE-funded projects

  10. Prepared in response to formal guidance and a request by Sam...

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

    ... Computational Chief Scientist to oversee and drive cross-cutting computer and computational science assets; and experienced FA Leads and Deputies with responsibility for the ...

  11. Models Datasets

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

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  12. Programming models

    SciTech Connect (OSTI)

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

    2011-01-14

    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.

  13. ISDAC Modeling

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

    Modeling Modeling of aerosol effects on Arctic stratiform clouds: Preliminary results from the ISDAC case study (poster 13J) Mikhail Ovchinnikov, Steve Ghan, Jiwen Fan, Xiaohong Liu (PNNL), Alexei Korolev, Peter Liu (Env. Canada) Shaocheng Xie (LLNL), Hugh Morrison (NCAR), ISDAC PI's, and members of the CMWG 2 Indirect Semi-Direct Aerosol Campaign Science questions: How do properties of the arctic aerosol during April differ from those measured during the MPACE in October? To what extent do the

  14. Phenomenological Modeling

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

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

  15. Criticality Model

    SciTech Connect (OSTI)

    A. Alsaed

    2004-09-14

    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

  16. scale model

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

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

  17. Competency Models

    Broader source: Energy.gov [DOE]

    An industry-validated competency model is an excellent tool for identifying the skills needed to succeed in a particular job, developing curricula to teach them, and benchmarking their attainment. Particularly valuable in dynamic industries like solar energy, a competency framework is critical to any training program attempting to advance lower-skilled workers into navigable career pathways, or transition higher skilled workers into new industry sectors.

  18. Systems Modeling

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

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

  19. Nuclear Models

    SciTech Connect (OSTI)

    Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)

    2010-09-10

    The atomic nucleus is a typical example of a many-body problem. On the one hand, the number of nucleons (protons and neutrons) that constitute the nucleus is too large to allow for exact calculations. On the other hand, the number of constituent particles is too small for the individual nuclear excitation states to be explained by statistical methods. Another problem, particular for the atomic nucleus, is that the nucleon-nucleon (n-n) interaction is not one of the fundamental forces of Nature, and is hard to put in a single closed equation. The nucleon-nucleon interaction also behaves differently between two free nucleons (bare interaction) and between two nucleons in the nuclear medium (dressed interaction).Because of the above reasons, specific nuclear many-body models have been devised of which each one sheds light on some selected aspects of nuclear structure. Only combining the viewpoints of different models, a global insight of the atomic nucleus can be gained. In this chapter, we revise the the Nuclear Shell Model as an example of the microscopic approach, and the Collective Model as an example of the geometric approach. Finally, we study the statistical properties of nuclear spectra, basing on symmetry principles, to find out whether there is quantum chaos in the atomic nucleus. All three major approaches have been rewarded with the Nobel Prize of Physics. In the text, we will stress how each approach introduces its own series of approximations to reduce the prohibitingly large number of degrees of freedom of the full many-body problem to a smaller manageable number of effective degrees of freedom.

  20. I&C Modeling in SPAR Models

    SciTech Connect (OSTI)

    John A. Schroeder

    2012-06-01

    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.

  1. U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Annual Energy Outlook Model, Peter Gross PDF Sugars, Renewable Chemicals & Fuels, Sam Nejame PDF Drop-in biofuels in the AEO, Mac Statton PDF Applications of the Biomass Scenario ...

  2. PPPL Offers Twice-Monthly Public Tours | Princeton Plasma Physics...

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

    for Operations Adam Cohen leads visitors on a tour of the QUASAR stellarator. Physicist Sam Lazerson, far right, shows visitors a model of a stellarator during a tour of PPPL....

  3. PTO-Sim: Development

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

    PTO-Sim: Development of a Power Take Off Modeling Tool for Ocean Wave Energy Conversion Ratanak So 1 , Student Member, IEEE, Sean Casey 2 , Sam Kanner 3 , Asher Simmons 1 , Student ...

  4. Modeling natural gas reservoirs - a simple model

    SciTech Connect (OSTI)

    Collier, R.S.

    1981-10-01

    A mathematical model is developed and tested for the production of natural gas with water encroachment and gas entrapment. The model is built on the material and volumetric balance relations, the Schilthuis water drive model, and a gas entrapment mechanism which assumes that the rate of gas entrapment is proportional to the volumetric rate of water influx. This model represents an alternative to the large grid models because of its low computer, maintenance, and manpower costs. 13 refs.

  5. University of Delaware | CCEI Students & Postdoctoral Researchers

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

    Students and Postdoctoral Researchers Click column headings to sort Name Institution Title Advisor Name Institution Title Advisor BACK TO TOP

  6. Sandia Modeling Tool Webinar

    Broader source: Energy.gov [DOE]

    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...

  7. Hydrogen Delivery Analysis Models

    Broader source: Energy.gov [DOE]

    DOE H2A Delivery Models: Components Model (delivery system component costs and performance) and Scenario Model (for urban and rural/interstate markets and demand levels, market penetration)

  8. Macro System Model (MSM)

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

    Macro System Model (MSM) (National Renewable Energy Laboratory) Objectives Perform rapid cross-cutting analysis that utilizes and links other models. Ensure all aspects of hydrogen pathway and cost analysis is included such as hydrogen purity, leakage, etc. Key Attributes & Strengths Easily and rapidly links modeling experts with DOE's other models that are included in the MSM. Platform, Requirements & Availability MSM is a static, cross-cutting model which links models from various

  9. Modeling of geothermal systems

    SciTech Connect (OSTI)

    Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.

    1985-03-01

    During the last decade the use of numerical modeling for geothermal resource evaluation has grown significantly, and new modeling approaches have been developed. In this paper we present a summary of the present status in numerical modeling of geothermal systems, emphasizing recent developments. Different modeling approaches are described and their applicability discussed. The various modeling tasks, including natural-state, exploitation, injection, multi-component and subsidence modeling, are illustrated with geothermal field examples. 99 refs., 14 figs.

  10. Hydrogen Delivery Analysis Models

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

    Models Amgad Elgowainy (ANL), Marianne Mintz (ANL), Jerry Gillette (ANL), Matt Ringer (NREL), Bruce Kelly (Nexant), Matt Hooks (TIAX), Daryl Brown (PNNL), and Mark Paster (DOE) September, 2007 DOE H2A Delivery Models Spreadsheet model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural /Interstate markets and demand levels (Mkt. Penetration) Scenario Model Estimates the cost of H 2 ($/kg) (and V2: energy and GHG) Assumes 2005 delivery

  11. 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...

  12. CAMPUS ENERGY MODEL

    Energy Science and Technology Software Center (OSTI)

    003655IBMPC00 Campus Energy Model for Control and Performance Validation https://github.com/NREL/CampusEnergyModeling/releases/tag/v0.2.1

  13. Fuel Model | NISAC

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

    Fuels Model This model informs analyses of the availability of transportation fuel in the event the fuel supply chain is disrupted. The portion of the fuel supply system...

  14. Multiscale Subsurface Biogeochemical Modeling

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

    Biogeochemical Modeling Multiscale Subsurface Biogeochemical Modeling ScheibeSmaller.jpg Simulation of flow inside an experimental packed bed, performed on Franklin Key...

  15. Building Energy Modeling Library

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

    Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute ... Project Overview Building Energy Modeling (BEM) Library * Define and develop a ...

  16. PV Reliability & Performance Model

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

    Reliability & Performance Model - Sandia Energy Energy Search Icon Sandia Home Locations ... Twitter Google + Vimeo GovDelivery SlideShare PV Reliability & Performance Model Home...

  17. Status Report on NEAMS System Analysis Module Development

    SciTech Connect (OSTI)

    Hu, R.; Fanning, T. H.; Sumner, T.; Yu, Y.

    2015-12-01

    Under the Reactor Product Line (RPL) of DOE-NE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, an advanced SFR System Analysis Module (SAM) is being developed at Argonne National Laboratory. The goal of the SAM development is to provide fast-running, improved-fidelity, whole-plant transient analyses capabilities. SAM utilizes an object-oriented application framework MOOSE), and its underlying meshing and finite-element library libMesh, as well as linear and non-linear solvers PETSc, to leverage modern advanced software environments and numerical methods. It also incorporates advances in physical and empirical models and seeks closure models based on information from high-fidelity simulations and experiments. This report provides an update on the SAM development, and summarizes the activities performed in FY15 and the first quarter of FY16. The tasks include: (1) implement the support of 2nd-order finite elements in SAM components for improved accuracy and computational efficiency; (2) improve the conjugate heat transfer modeling and develop pseudo 3-D full-core reactor heat transfer capabilities; (3) perform verification and validation tests as well as demonstration simulations; (4) develop the coupling requirements for SAS4A/SASSYS-1 and SAM integration.

  18. Biomass Scenario Model

    SciTech Connect (OSTI)

    2015-09-01

    The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art dynamic model of the domestic biofuels supply chain which explicitly focuses on policy issues, their feasibility, and potential side effects. It integrates resource availability, physical/technological/economic constraints, behavior, and policy. The model uses a system dynamics simulation (not optimization) to model dynamic interactions across the supply chain.

  19. modeling-sediment-html

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

    Modeling of Sediment Transport and Porous Medium Response Under Current ad Waves

  20. Memo for Sam Callahan- Recommendation for change to DOE O 474.2, Nuclear Material Control and Accountability

    Broader source: Energy.gov [DOE]

    The Tritium Focus Group (TFG) recommends that DOE Order 474.2, Nuclear Material Control and Accountability, dated June 27, 2011, be revised to eliminate deuterium from Table B "Other Accountable Nuclear Materials" of Attachment-2 during the five year revision to the Order.

  1. Development of High-Throughput Screens to Target SAM-I Riboswitches (2014 DOE JGI Genomics of Energy & Environment Meeting)

    SciTech Connect (OSTI)

    Hickey, Scott

    2014-03-19

    Scott Hickey of the University of California Berkeley speaks at the 9th Annual Genomics of Energy & Environment Meeting on March 20, 2014 in Walnut Creek, Calif.

  2. Uncle Sam goes to market: Federal agency disposal of emission reduction credits under the Federal property management regulations. Master's thesis

    SciTech Connect (OSTI)

    Rafferty, V.J.

    1994-01-30

    With the realignment and closure of Federal facilities, especially Department of Defense installations, Federal agencies have been presented with a unique opportunity: the chance to create and dispose of air emission reduction credits (ERCs). This situation and current commitments by the Congress and EPA to expand the use of market based pollution control programs have generated interest in certain circles as to whether and how Federal agencies can dispose of ERCs and similar pollution rights and allowances. This paper will discuss ERCs, why the disposal of ERCs by Federal agencies is a pressing issue, and how Federal agencies can dispose of ERCs under existing Federal property laws and regulations.

  3. Dynamic cable analysis models

    SciTech Connect (OSTI)

    Palo, P.A.; Meggitt, D.J.; Nordell, W.J.

    1983-05-01

    This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.

  4. Accounting for Model Error in the Calibration of Physical Models...

    Office of Scientific and Technical Information (OSTI)

    Accounting for Model Error in the Calibration of Physical Models. Citation Details In-Document Search Title: Accounting for Model Error in the Calibration of Physical Models. ...

  5. Modeling Fluid Flow in Natural Systems, Model Validation and...

    Energy Savers [EERE]

    Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Clay and granitic units are ...

  6. Hydrologic Modeling Capabilities

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

    Understanding complex hydrologic systems requires the ability to develop, utilize, and interpret both numerical and analytical models. The Defense Waste Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of reality, which we accept do not capture every detail of reality. Mathematical and numerical models can be used to rigorously test geologic and hydrologic assumptions, determine

  7. Microsoft Word - Modeling Summary

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

    Estimated Onsite worker and offsite public dose Modeling has been done to estimate onsite worker and offsite public dose that may have resulted from the February 14, 2014, event. The results of the modeling indicate that all potential doses were well below the applicable regulatory limits (see results below). The modeling results are consistent with actual worker bioassay results. For modeling data see: (http://www.wipp.energy.gov/Special/Modeling Results.pdf) Estimated Dose Applicable

  8. Computational Modeling | Bioenergy | NREL

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

    Computational Modeling NREL uses computational modeling to increase the efficiency of biomass conversion by rational design using multiscale modeling, applying theoretical approaches, and testing scientific hypotheses. model of enzymes wrapping on cellulose; colorful circular structures entwined through blue strands Cellulosomes are complexes of protein scaffolds and enzymes that are highly effective in decomposing biomass. This is a snapshot of a coarse-grain model of complex cellulosome

  9. Ensemble Atmospheric Dispersion Modeling

    SciTech Connect (OSTI)

    Addis, R.P.

    2002-06-24

    Prognostic atmospheric dispersion models are used to generate consequence assessments, which assist decision-makers in the event of a release from a nuclear facility. Differences in the forecast wind fields generated by various meteorological agencies, differences in the transport and diffusion models, as well as differences in the way these models treat the release source term, result in differences in the resulting plumes. Even dispersion models using the same wind fields may produce substantially different plumes. This talk will address how ensemble techniques may be used to enable atmospheric modelers to provide decision-makers with a more realistic understanding of how both the atmosphere and the models behave.

  10. Modeling EERE deployment programs

    SciTech Connect (OSTI)

    Cort, K. A.; Hostick, D. J.; Belzer, D. B.; Livingston, O. V.

    2007-11-01

    The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge for future research.

  11. Power Sector Modeling 101

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

    Erin Boyd Department of Energy - Office of Energy Policy and Systems Analysis erin.boyd@hq.doe.gov DOE's Technical Assistance Website www.energy.gov/ta Power Sector Modeling 101 2 Presentation Description - DOE Power Sector Modeling 101 With increased energy planning needs and new regulations, environmental agencies, state energy offices and others have expressed more of an interest in electric power sector models, both for (a) interpreting the results and potential applications of modeling from

  12. Impact-GMI Model

    Energy Science and Technology Software Center (OSTI)

    2007-03-22

    IMPACT-GMI is an atmospheric chemical transport model designed to run on massively parallel computers. It is designed to model trace pollutants in the atmosphere. It includes models for emission, chemistry and deposition of pollutants. It can be used to assess air quality and its impact on future climate change.

  13. Model Fire Protection Program

    Broader source: Energy.gov [DOE]

    To facilitate conformance with its fire safety directives and the implementation of a comprehensive fire protection program, DOE has developed a number of "model" program documents. These include a comprehensive model fire protection program, model fire hazards analyses and assessments, fire protection system inspection and testing procedures, and related material.

  14. Modeling EERE Deployment Programs

    SciTech Connect (OSTI)

    Cort, K. A.; Hostick, D. J.; Belzer, D. B.; Livingston, O. V.

    2007-11-01

    This report compiles information and conclusions gathered as part of the “Modeling EERE Deployment Programs” project. The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge in which future research is needed.

  15. Transportation Systems Modeling

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

    TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling TRANSPORTATION SYSTEMS MODELING Overview of TSM Transportation systems modeling research at TRACC uses the TRANSIMS (Transportation Analysis SIMulation System) traffic micro simulation code developed by the U.S. Department of Transportation (USDOT). The TRANSIMS code represents the latest generation of traffic simulation codes developed jointly under multiyear programs by USDOT, the

  16. Campus Energy Modeling Platform

    Energy Science and Technology Software Center (OSTI)

    2014-09-19

    NREL's Campus Energy Modeling project provides a suite of simulation tools for integrated, data driven energy modeling of commercial buildings and campuses using Simulink. The tools enable development of fully interconnected models for commercial campus energy infrastructure, including electrical distribution systems, district heating and cooling, onsite generation (both conventional and renewable), building loads, energy storage, and control systems.

  17. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  18. CONTENT MODEL HOW-TO

    Energy Science and Technology Software Center (OSTI)

    003241MLTPL00 Content Model Guidelines https://github.com/usgin/usginspecs/wiki/Content-Model-Guidelines

  19. The Inforum LIFT Model

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

    Inforum LIFT Model U.S. Energy and Economic Outlook Douglas S. Meade 2011 EIA Energy Conference Overview  The Inforum LIFT Model  Treatment of energy flows and emissions in LIFT.  Calibrating to AEO  Model extensions  U.S. Energy and Macroeconomic Outlook  Modeling of energy and environmental regulation April 26, 2011 2 2011 EIA Energy Conference LIFT: An Interindustry Macro (IM) Model  Input-Output (IO) relationships form the core of LIFT, both for output and price

  20. UZ Colloid Transport Model

    SciTech Connect (OSTI)

    M. McGraw

    2000-04-13

    The UZ Colloid Transport model development plan states that the objective of this Analysis/Model Report (AMR) is to document the development of a model for simulating unsaturated colloid transport. This objective includes the following: (1) use of a process level model to evaluate the potential mechanisms for colloid transport at Yucca Mountain; (2) Provide ranges of parameters for significant colloid transport processes to Performance Assessment (PA) for the unsaturated zone (UZ); (3) Provide a basis for development of an abstracted model for use in PA calculations.

  1. Foam process models.

    SciTech Connect (OSTI)

    Moffat, Harry K.; Noble, David R.; Baer, Thomas A.; Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann

    2008-09-01

    In this report, we summarize our work on developing a production level foam processing computational model suitable for predicting the self-expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method, and has been implemented in SIERRA/ARIA. An empirically based time- and temperature-dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable model. The change in density with time is at the heart of the foam self-expansion as it creates the motion of the foam. This continuum-level model uses an homogenized description of foam, which does not include the gas explicitly. Results from the model are compared to temperature-instrumented flow visualization experiments giving the location of the foam front as a function of time for our EFAR model system.

  2. Ventilation Model Report

    SciTech Connect (OSTI)

    V. Chipman; J. Case

    2002-12-20

    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. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 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

  3. Estimating a model discrepancy term for the Community Land Model...

    Office of Scientific and Technical Information (OSTI)

    ... month - The final fitted polynomial model has 10% - 20% errors - not good enough * Regression kriging - Used quadratic as a meantrend model and stationary Gaussian Process model ...

  4. Load Model Data Tool

    SciTech Connect (OSTI)

    David Chassin, Pavel Etingov

    2013-04-30

    The LMDT software automates the process of the load composite model data preparation in the format supported by the major power system software vendors (GE and Siemens). Proper representation of the load composite model in power system dynamic analysis is very important. Software tools for power system simulation like GE PSLF and Siemens PSSE already include algorithms for the load composite modeling. However, these tools require that the input information on composite load to be provided in custom formats. Preparation of this data is time consuming and requires multiple manual operations. The LMDT software enables to automate this process. Software is designed to generate composite load model data. It uses the default load composition data, motor information, and bus information as an input. Software processes the input information and produces load composition model. Generated model can be stored in .dyd format supported by GE PSLF package or .dyr format supported by Siemens PSSE package.

  5. The model coupling toolkit.

    SciTech Connect (OSTI)

    Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.

    2001-04-13

    The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.

  6. Load Model Data Tool

    Energy Science and Technology Software Center (OSTI)

    2013-04-30

    The LMDT software automates the process of the load composite model data preparation in the format supported by the major power system software vendors (GE and Siemens). Proper representation of the load composite model in power system dynamic analysis is very important. Software tools for power system simulation like GE PSLF and Siemens PSSE already include algorithms for the load composite modeling. However, these tools require that the input information on composite load to bemore » provided in custom formats. Preparation of this data is time consuming and requires multiple manual operations. The LMDT software enables to automate this process. Software is designed to generate composite load model data. It uses the default load composition data, motor information, and bus information as an input. Software processes the input information and produces load composition model. Generated model can be stored in .dyd format supported by GE PSLF package or .dyr format supported by Siemens PSSE package.« less

  7. AREST model description

    SciTech Connect (OSTI)

    Engel, D.W.; McGrail, B.P.

    1993-11-01

    The Office of Civilian Radioactive Waste Management and the Power Reactor and Nuclear Fuel Development Corporation of Japan (PNC) have supported the development of the Analytical Repository Source-Term (AREST) at Pacific Northwest Laboratory. AREST is a computer model developed to evaluate radionuclide release from an underground geologic repository. The AREST code can be used to calculate/estimate the amount and rate of each radionuclide that is released from the engineered barrier system (EBS) of the repository. The EBS is the man-made or disrupted area of the repository. AREST was designed as a system-level models to simulate the behavior of the total repository by combining process-level models for the release from an individual waste package or container. AREST contains primarily analytical models for calculating the release/transport of radionuclides to the lost rock that surrounds each waste package. Analytical models were used because of the small computational overhead that allows all the input parameters to be derived from a statistical distribution. Recently, a one-dimensional numerical model was also incorporated into AREST, to allow for more detailed modeling of the transport process with arbitrary length decay chains. The next step in modeling the EBS, is to develop a model that couples the probabilistic capabilities of AREST with a more detailed process model. This model will need to look at the reactive coupling of the processes that are involved with the release process. Such coupling would include: (1) the dissolution of the waste form, (2) the geochemical modeling of the groundwater, (3) the corrosion of the container overpacking, and (4) the backfill material, just to name a few. Several of these coupled processes are already incorporated in the current version of AREST.

  8. Modeling & Simulation publications

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

    Modeling and Simulation in the Chemical Sciences » Modeling & Simulation Publications Modeling & Simulation publications Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this century. Get Expertise David Harradine Physical Chemistry and Applied Spectroscopy Email Josh Smith Chemistry Email The inherent knowledge of transformation has beguiled sorcerers and scientists alike. D.A. Horner, F. Lambert, J.D. Kress,

  9. Liftoff Model for MELCOR.

    SciTech Connect (OSTI)

    Young, Michael F.

    2015-07-01

    Aerosol particles that deposit on surfaces may be subsequently resuspended by air flowing over the surface. A review of models for this liftoff process is presented and compared to available data. Based on this review, a model that agrees with existing data and is readily computed is presented for incorporation into a system level code such as MELCOR. Liftoff Model for MELCOR July 2015 4 This page is intentionally blank

  10. Theory, Modeling and Computation

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

    Theory, Modeling and Computation Theory, Modeling and Computation The sophistication of modeling and simulation will be enhanced not only by the wealth of data available from MaRIE but by the increased computational capacity made possible by the advent of extreme computing. CONTACT Jack Shlachter (505) 665-1888 Email Extreme Computing to Power Accurate Atomistic Simulations Advances in high-performance computing and theory allow longer and larger atomistic simulations than currently possible.

  11. Advanced Target Effects Modeling

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

    Advanced Target Effects Modeling for Ion Accelerators and other High-Energy-Density ... ature effects, e.g., surface tension and target fragmentation, that are not generally ...

  12. Sandia Energy Modeling

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

    ?p34831 http:energy.sandia.govwave-energy-device-modeling-developing-a-117-scaled-modelfeed 0 New Small Business Voucher Pilot Opens http:energy.sandia.gov...

  13. The Standard Model

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-12

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  14. EIN Cash Flow Model

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

    EIN Cash Flow Model Energy Independence Now (EIN) Objectives Identify financial risks in early hydrogen infrastructure systems and illustrate hydrogen station cash flows under a ...

  15. Sandia Energy - Modeling

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

    systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new...

  16. Global Climate Models

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  17. Scale Models & Wind Turbines

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

    Turbines * Readings about Cape Wind and other offshore and onshore siting debates for wind farms * Student Worksheet * A number of scale model items: Ken, Barbie or other dolls...

  18. Photovoltaics Business Models

    SciTech Connect (OSTI)

    Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.

    2008-02-01

    This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.

  19. Multifamily Envelope Leakage Model

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

    a solution Steven Winter Associates, Inc. 2013 Collect data Find significant variables Analyze patterns in the data Create a final model NEW YORK, NY | WASHINGTON, DC | ...

  20. Model Arbitration Provision

    Broader source: Energy.gov [DOE]

    The attached "GC Guidance: Model Arbitration Provision" is issued for use by Contracting Officers for M&O contracts as needed.

  1. Multifamily Envelope Leakage Model

    SciTech Connect (OSTI)

    Faakye, O.; Griffiths, D.

    2015-05-01

    The objective of the 2013 research project was to develop the model for predicting fully guarded test results (FGT), using unguarded test data and specific building features of apartment units. The model developed has a coefficient of determination R2 value of 0.53 with a root mean square error (RMSE) of 0.13. Both statistical metrics indicate that the model is relatively strong. When tested against data that was not included in the development of the model, prediction accuracy was within 19%, which is reasonable given that seasonal differences in blower door measurements can vary by as much as 25%.

  2. integrated-transportation-models

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

    support a wider application of integrated transportation models, especially focusing on travel demand and network ... irrevocable worldwide license in said article to ...

  3. Project Evaluation Models

    Office of Environmental Management (EM)

    ... to evaluate its performance and lowest cost of energy * Uses hourly resource data for wind and solar Renewable Energy Options * Models existing generation (Grid, backup ...

  4. Market Allocation (MARKAL) Model

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

    Key Attributes & Strengths Analysis is conducted in the context of overall U.S. energy supply and demand. The model incorporates learning curves and scale economies for cost ...

  5. The Standard Model

    SciTech Connect (OSTI)

    Lincoln, Don

    2012-10-02

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  6. VISION Model: Description

    SciTech Connect (OSTI)

    2009-01-18

    Description of VISION model, which is used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.

  7. HTL Model Development

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

    Northwest National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Goal Statement for HTL Model 2 GOAL: Enable ...

  8. Reference Model Project (RMP)

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

    ... Reference Model 5: Oscillating Surge Wave Energy Converter. NRELTP-5000-62861. Golden, CO, National Renewable Energy Laboratory (NREL). January 2015. Power Conversion Chain Design ...

  9. Mixed Solvent Electrolyte Model

    Broader source: Energy.gov [DOE]

    With assistance from AMO, OLI Systems, Inc., developed the mixed-solvent electrolyte model, a comprehensive physical property package that can predict the properties of electrolyte systems ranging...

  10. Sandia Energy - Reference Model Documents

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

    Documents Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Documents Reference Model DocumentsTara Camacho-Lopez2015-05-...

  11. WEC Model Development at Sandia

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

    ... Designs WEC Farm Hydrodynamic Modeling WEC Farm Environmental Modeling WEC Farm Power Modeling Wave Energy Development Roadmap: WEC Farm TRL 56, 78 & 9 Note: All specified flows ...

  12. Biosphere Process Model Report

    SciTech Connect (OSTI)

    J. Schmitt

    2000-05-25

    To evaluate the postclosure performance of a potential monitored geologic repository at Yucca Mountain, a Total System Performance Assessment (TSPA) will be conducted. Nine Process Model Reports (PMRs), including this document, are being developed to summarize the technical basis for each of the process models supporting the TSPA model. These reports cover the following areas: (1) Integrated Site Model; (2) Unsaturated Zone Flow and Transport; (3) Near Field Environment; (4) Engineered Barrier System Degradation, Flow, and Transport; (5) Waste Package Degradation; (6) Waste Form Degradation; (7) Saturated Zone Flow and Transport; (8) Biosphere; and (9) Disruptive Events. Analysis/Model Reports (AMRs) contain the more detailed technical information used to support TSPA and the PMRs. The AMRs consists of data, analyses, models, software, and supporting documentation that will be used to defend the applicability of each process model for evaluating the postclosure performance of the potential Yucca Mountain repository system. This documentation will ensure the traceability of information from its source through its ultimate use in the TSPA-Site Recommendation (SR) and in the National Environmental Policy Act (NEPA) analysis processes. The objective of the Biosphere PMR is to summarize (1) the development of the biosphere model, and (2) the Biosphere Dose Conversion Factors (BDCFs) developed for use in TSPA. The Biosphere PMR does not present or summarize estimates of potential radiation doses to human receptors. Dose calculations are performed as part of TSPA and will be presented in the TSPA documentation. The biosphere model is a component of the process to evaluate postclosure repository performance and regulatory compliance for a potential monitored geologic repository at Yucca Mountain, Nevada. The biosphere model describes those exposure pathways in the biosphere by which radionuclides released from a potential repository could reach a human receptor

  13. Canister Model, Systems Analysis

    Energy Science and Technology Software Center (OSTI)

    1993-09-29

    This packges provides a computer simulation of a systems model for packaging nuclear waste and spent nuclear fuel in canisters. The canister model calculates overall programmatic cost, number of canisters, and fuel and waste inventories for the Idaho Chemical Processing Plant (other initial conditions can be entered).

  14. Stereolithography models. Final report

    SciTech Connect (OSTI)

    Smith, R.E.

    1995-03-01

    This report describes the first stereolithographic models made, which proved in a new release of ProEngineer software (Parametric Technologies, or PTC) and 3D Systems (Valencia, California) software for the SLA 250 machine. They are a model of benzene and the {alpha}-carbon backbone of the variable region of an antibody.

  15. Modeling for Insights

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Gretchen Matthern

    2007-04-01

    System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.

  16. VENTILATION MODEL REPORT

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-31

    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 postclosure analyses.

  17. Integrated Environmental Control Model

    Energy Science and Technology Software Center (OSTI)

    1999-09-03

    IECM is a powerful multimedia engineering software program for simulating an integrated coal-fired power plant. It provides a capability to model various conventional and advanced processes for controlling air pollutant emissions from coal-fired power plants before, during, or after combustion. The principal purpose of the model is to calculate the performance, emissions, and cost of power plant configurations employing alternative environmental control methods. The model consists of various control technology modules, which may be integratedmore » into a complete utility plant in any desired combination. In contrast to conventional deterministic models, the IECM offers the unique capability to assign probabilistic values to all model input parameters, and to obtain probabilistic outputs in the form of cumulative distribution functions indicating the likelihood of dofferent costs and performance results. A Graphical Use Interface (GUI) facilitates the configuration of the technologies, entry of data, and retrieval of results.« less

  18. XAFS Model Compound Library

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

    Newville, Matthew

    The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/

  19. Varicella infection modeling.

    SciTech Connect (OSTI)

    Jones, Katherine A.; Finley, Patrick D.; Moore, Thomas W.; Nozick, Linda Karen; Martin, Nathaniel; Bandlow, Alisa; Detry, Richard Joseph; Evans, Leland B.; Berger, Taylor Eugen

    2013-09-01

    Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.

  20. Criticality Model Report

    SciTech Connect (OSTI)

    J.M. Scaglione

    2003-03-12

    The purpose of the ''Criticality Model Report'' is to validate the MCNP (CRWMS M&O 1998h) code's ability to accurately predict the effective neutron multiplication factor (k{sub eff}) for a range of conditions spanned by various critical configurations representative of the potential configurations commercial reactor assemblies stored in a waste package may take. Results of this work are an indication of the accuracy of MCNP for calculating eigenvalues, which will be used as input for criticality analyses for spent nuclear fuel (SNF) storage at the proposed Monitored Geologic Repository. The scope of this report is to document the development and validation of the criticality model. The scope of the criticality model is only applicable to commercial pressurized water reactor fuel. Valid ranges are established as part of the validation of the criticality model. This model activity follows the description in BSC (2002a).

  1. SPAR Model Structural Efficiencies

    SciTech Connect (OSTI)

    John Schroeder; Dan Henry

    2013-04-01

    The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRC’s Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: • Development of a standard methodology and implementation of support system initiating events • Treatment of loss of offsite power • Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are • SPAR model transparency • Common cause failure modeling deficiencies and approaches • Ac and dc modeling deficiencies and approaches • Instrumentation and control system modeling deficiencies and approaches

  2. Sandia Material Model Driver

    Energy Science and Technology Software Center (OSTI)

    2005-09-28

    The Sandia Material Model Driver (MMD) software package allows users to run material models from a variety of different Finite Element Model (FEM) codes in a standalone fashion, independent of the host codes. The MMD software is designed to be run on a variety of different operating system platforms as a console application. Initial development efforts have resulted in a package that has been shown to be fast, convenient, and easy to use, with substantialmore » growth potential.« less

  3. Perspectives on multifield models

    SciTech Connect (OSTI)

    Banerjee, S.

    1997-07-01

    Multifield models for prediction of nuclear reactor thermalhydraulics are reviewed from the viewpoint of their structure and requirements for closure relationships. Their strengths and weaknesses are illustrated with examples, indicating that they are effective in predicting separated and distributed flow regimes, but have problems for flows with large oscillations. Needs for multifield models are also discussed in the context of reactor operations and accident simulations. The highest priorities for future developments appear to relate to closure relationships for three-dimensional multifield models with emphasis on those needed for calculations of phase separation and entrainment/de-entrainment in complex geometries.

  4. Modeling EERE Deployment Programs

    SciTech Connect (OSTI)

    Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.

    2007-11-08

    The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.

  5. Model Wind Ordinance

    Broader source: Energy.gov [DOE]

    In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model wind ordinance to provide guidance for...

  6. Community Atmosphere Model

    Energy Science and Technology Software Center (OSTI)

    2004-10-18

    The Community Atmosphere Model (CAM) is an atmospheric general circulation model that solves equations for atmospheric dynamics and physics. CAM is an outgrowth of the Community Climate Model at the National Center for Atmospheric Research (NCAR) and was developed as a joint collaborative effort between NCAR and several DOE laboratories, including LLNL. CAM contains several alternative approaches for advancing the atmospheric dynamics. One of these approaches uses a finite-volume method originally developed by personnel atmore » NASNGSFC, We have developed a scalable version of the finite-volume solver for massively parallel computing systems. FV-CAM is meant to be used in conjunction with the Community Atmosphere Model. It is not stand-alone.« less

  7. Models and Datasets

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

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  8. Refining climate models

    ScienceCinema (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2014-06-26

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  9. HOMER® Energy Modeling Software

    Energy Science and Technology Software Center (OSTI)

    2000-12-31

    The HOMER® energy modeling software is a tool for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, hydropower, biomass and other inputs.

  10. System Dynamics Model | NISAC

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

    Dynamics Model content top Chemical Supply Chain Analysis Posted by Admin on Mar 1, 2012 in | Comments 0 comments Chemical Supply Chain Analysis NISAC has developed a range of...

  11. Battery Life Predictive Model

    Energy Science and Technology Software Center (OSTI)

    2009-12-31

    The Software consists of a model used to predict battery capacity fade and resistance growth for arbitrary cycling and temperature profiles. It allows the user to extrapolate from experimental data to predict actual life cycle.

  12. HyPRO Model

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

    static model based on Microsoft Excel and MatLab platforms, and links sub-modules of ... Analysis website (for downloading), but users must have Matlab for computing purposes

  13. Customer Prepay Impact Model

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

    Instructions for Use Inputs 1. To use this model, you will need to unprotect the workbook, by going to Select "Unprotect Workbook", and enter the password "bpa". 2. The Input...

  14. Economic Model | NISAC

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

    NISACEconomic Model content top Chemical Supply Chain Analysis Posted by Admin on Mar 1, 2012 in | Comments 0 comments Chemical Supply Chain Analysis NISAC has developed a range of ...

  15. Renewable Model Documentation

    Gasoline and Diesel Fuel Update (EIA)

    sites is calculated by constructing a model of a representative 100-acre by 50-feet deep landfill site and by applying methane emission factors for high, low, and very low...

  16. Refining climate models

    SciTech Connect (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2012-10-31

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  17. Enterprise Risk Management Model

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

    Model The Enterprise Risk Management (ERM) Model is a system used to analyze the cost and benefit of addressing risks inherent in the work performed by the Department of Energy. This system measures risk using a combination of qualitative and quantitative methods to set a standard method for analyzing risk across the many functions within the department. Risks generally fall within five categories regardless ofthe subject matter ofthe subsystem. These categories are (1) risks to people, (2)

  18. Distributed generation systems model

    SciTech Connect (OSTI)

    Barklund, C.R.

    1994-12-31

    A slide presentation is given on a distributed generation systems model developed at the Idaho National Engineering Laboratory, and its application to a situation within the Idaho Power Company`s service territory. The objectives of the work were to develop a screening model for distributed generation alternatives, to develop a better understanding of distributed generation as a utility resource, and to further INEL`s understanding of utility concerns in implementing technological change.

  19. OCH Strap Model Test

    SciTech Connect (OSTI)

    Weber, K.; /Fermilab

    1987-08-26

    The OCH Model was stacked using the appropriate spacers between each absorber plate. Steel bars measuring 3-inch wide by 1/4-inch thick were welded, using 1/8-inch fillet weld, along all the corner edges, except the outer radius edges. On the outer radius, the straps were bolted to the end plates and to plates 9 and 17. The straps on the outer radius were also set in towards the center by approximately 3-inches. The spacers were then knocked out. Twelve strain gauges were mounted on the model. See figure 1 and the OCH strap Model log book for locations. Each rosette was centered in the gap between two absorber plates. The finite element plate model can predict the primary deformations of the OH module in both the cantilever and crushing modes to within 11% of the measured values. The primary stresses away from the support plate for the cantilever mode can be predicted to within 13% by this model. Near the support plate where large shear stresses exists, ANSYS will overpredict the measured stresses substantially. This is probably due to the models inherent inability to allow for shear stress concentrations at the welds. The same over-prediction was seen in the side straps during the OH crush test comparison and is probably attributable to the high shear force in this mode. The simple finite element plate model will provide suitable model of OH module stiffness for use in the analysis of the module assembly. The calculation of shear stresses can be improved by applying the ANSYS calculated inter-element forces to traditional weld strength calculations

  20. Theory Modeling and Simulation

    SciTech Connect (OSTI)

    Shlachter, Jack

    2012-08-23

    Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.

  1. DOE Tribal Renewable Energy Webinar Series 2014 | Department of Energy

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

    Renewable Energy Webinar Series 2014 DOE Tribal Renewable Energy Webinar Series 2014 2014 webinar series flyer (619.61 KB) More Documents & Publications The Path to Transforming Knowledge into Energy Projects: DOE Tribal Renewable Energy Webinar Series 2015 2016 Tribal Energy and Economic Development July Webinar: Project Development for Long-Term Tribal Energy System Advisor Model Training

  2. Learning planar ising models

    SciTech Connect (OSTI)

    Johnson, Jason K; Chertkov, Michael; Netrapalli, Praneeth

    2010-11-12

    Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.

  3. Multiscale Thermohydrologic Model

    SciTech Connect (OSTI)

    T. Buscheck

    2004-10-12

    The purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. Thus, the goal is to predict the range of possible thermal-hydrologic conditions across the repository; this is quite different from predicting a single expected thermal-hydrologic response. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes (Table 1-1). These thermal-hydrologic parameters are required to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]). The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock. The MSTHM uses data obtained from the data tracking numbers (DTNs) listed in Table 4.1-1. The majority of those DTNs were generated from the following analyses and model reports: (1) ''UZ Flow Model and Submodels'' (BSC 2004 [DIRS 169861]); (2) ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004); (3) ''Calibrated Properties Model'' (BSC 2004 [DIRS 169857]); (4) ''Thermal Conductivity of the Potential Repository Horizon'' (BSC 2004 [DIRS 169854]); (5) ''Thermal Conductivity of the Non-Repository Lithostratigraphic Layers'' (BSC 2004 [DIRS 170033]); (6) ''Ventilation Model and Analysis Report'' (BSC 2004 [DIRS 169862]); (7) ''Heat Capacity

  4. Climate Model Output Rewriter

    Energy Science and Technology Software Center (OSTI)

    2004-06-21

    CMOR comprises a set of FORTRAN 90 dunctions that can be used to produce CF-compliant netCDF files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as "MIPS", which stands for "model intercomparison project", including, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs), CMOR was not designed to serve as anmore » all-purpose wfiter of CF-compliant netCDF files, but simply to reduce the effort required to prepare and manage MIP data. Although MIPs encourage systematic analysis of results across models, this is only easy to do if the model output is written in a common format with files structured similarly and with sufficient metadata uniformly stored according to a common standard. Individual modeling groups store their data in different ways. but if a group can read its own data with FORTRAN, then it should easily be able to transform the data, using CMOR, into the common format required by the MIPs, The adoption of CMOR as a standard code for exchanging climate data will facilitate participation in MIPs because after learning how to satisfy the output requirements of one MIP, it will be easy to prepare output for the other MIPs.« less

  5. Techno Economic Model

    Energy Science and Technology Software Center (OSTI)

    2010-04-01

    The Technoeconomic model is a computational model of a lignocellulosic biorefinery that can be used by industry to establish benchmarks of performance and risk-benefit analysis in order to assess the potential impact of cutting edge technologies. The model can be used to evaluate, guide, and optimize research efforts, biorefinery design, and process operation. The model will help to reduce the risk of commercial investment and development of biorefineries and help steer future research to thosemore » parts of the refining process in need of further developments for biofuels to be cost competitive. We have now aded modules for the following sections: feed handling, pretreatment, fermentation, product and water recovery, waste treatment, and steam/electricity generation. We have incorporated a kinetic model for microorganism growth and production of ethanol, inclouding toxin inhibition. For example, the feed handling section incorporates information regarding feedstock transport distance-dependent costs. The steam and electricity generation section now includes a turbogenerator that supplies power to be used by other unit operations and contains equations for efficiency calculations.« less

  6. Models for geothermal wells

    SciTech Connect (OSTI)

    Michaelides, E.E.

    1980-06-01

    The problem of two-phase flow pressure loss is examined in order to give an answer to the problem of determination of the wellhead conditions. For this purpose two models have been developed, the first based on the pattern structure of the flow and the second on the mixing length theory. The void fraction correlations and the transition conditions are presented in the first model as a means of estimating the pressure loss. Heat losses, and the effect of impurities are examined in detail. An expression for the critical flow conditions is also derived. The model is used to predict the available power at the wellhead under various conditions and an answer to the problem of well pumping is given. For the second model an outline of the mixing length theory and the boundary layer coordinates is given; a density distribution in the geothermal well is assumed and the equations for the pressure loss are derived by means of the entropy production function. Finally a comparison of the two models is made and their predictive power is tested against known well data. A brief comparison with the Denver Research Institute is also made.

  7. NREL: dGen: Distributed Generation Market Demand Model - Model...

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

    All technologies modeled within the dGen framework leverage a core database of highly resolved geospatial information and share algorithms for modeling DER economics, customer ...

  8. Turning Bayesian model averaging into Bayesian model combination...

    Office of Scientific and Technical Information (OSTI)

    Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James 1 ; Monteith, Kristine 2 ; Seppi, Kevin 2 ; Martinez, Tony 2 + Show Author ...

  9. Accounting for Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  10. Handling Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  11. Critical Infrastructure Modeling System

    Energy Science and Technology Software Center (OSTI)

    2004-10-01

    The Critical Infrastructure Modeling System (CIMS) is a 3D modeling and simulation environment designed to assist users in the analysis of dependencies within individual infrastructure and also interdependencies between multiple infrastructures. Through visual cuing and textual displays, a use can evaluate the effect of system perturbation and identify the emergent patterns that evolve. These patterns include possible outage areas from a loss of power, denial of service or access, and disruption of operations. Method ofmore » Solution: CIMS allows the user to model a system, create an overlay of information, and create 3D representative images to illustrate key infrastructure elements. A geo-referenced scene, satellite, aerial images or technical drawings can be incorporated into the scene. Scenarios of events can be scripted, and the user can also interact during run time to alter system characteristics. CIMS operates as a discrete event simulation engine feeding a 3D visualization.« less

  12. Parametric Explosion Spectral Model

    SciTech Connect (OSTI)

    Ford, S R; Walter, W R

    2012-01-19

    Small underground nuclear explosions need to be confidently detected, identified, and characterized in regions of the world where they have never before occurred. We develop a parametric model of the nuclear explosion seismic source spectrum derived from regional phases that is compatible with earthquake-based geometrical spreading and attenuation. Earthquake spectra are fit with a generalized version of the Brune spectrum, which is a three-parameter model that describes the long-period level, corner-frequency, and spectral slope at high-frequencies. Explosion spectra can be fit with similar spectral models whose parameters are then correlated with near-source geology and containment conditions. We observe a correlation of high gas-porosity (low-strength) with increased spectral slope. The relationship between the parametric equations and the geologic and containment conditions will assist in our physical understanding of the nuclear explosion source.

  13. DEM Particle Fracture Model

    SciTech Connect (OSTI)

    Zhang, Boning; Herbold, Eric B.; Homel, Michael A.; Regueiro, Richard A.

    2015-12-01

    An adaptive particle fracture model in poly-ellipsoidal Discrete Element Method is developed. The poly-ellipsoidal particle will break into several sub-poly-ellipsoids by Hoek-Brown fracture criterion based on continuum stress and the maximum tensile stress in contacts. Also Weibull theory is introduced to consider the statistics and size effects on particle strength. Finally, high strain-rate split Hopkinson pressure bar experiment of silica sand is simulated using this newly developed model. Comparisons with experiments show that our particle fracture model can capture the mechanical behavior of this experiment very well, both in stress-strain response and particle size redistribution. The effects of density and packings o the samples are also studied in numerical examples.

  14. Progress in Initiator Modeling

    SciTech Connect (OSTI)

    Hrousis, C A; Christensen, J S

    2009-05-04

    There is great interest in applying magnetohydrodynamic (MHD) simulation techniques to the designs of electrical high explosive (HE) initiators, for the purpose of better understanding a design's sensitivities, optimizing its performance, and/or predicting its useful lifetime. Two MHD-capable LLNL codes, CALE and ALE3D, are being used to simulate the process of ohmic heating, vaporization, and plasma formation in the bridge of an initiator, be it an exploding bridgewire (EBW), exploding bridgefoil (EBF) or slapper type initiator. The initiation of the HE is simulated using Tarver Ignition & Growth reactive flow models. 1-D, 2-D and 3-D models have been constructed and studied. The models provide some intuitive explanation of the initiation process and are useful for evaluating the potential impact of identified aging mechanisms (such as the growth of intermetallic compounds or powder sintering). The end product of this work is a simulation capability for evaluating margin in proposed, modified or aged initiation system designs.

  15. 2-Stage Classification Modeling

    Energy Science and Technology Software Center (OSTI)

    1994-11-01

    CIRCUIT2.4 is used to design optimum two-stage classification configurations and operating conditions for energy conservation. It permits simulation of five basic grinding-classification circuits, including one single-stage and four two-stage classification arrangements. Hydrocyclones, spiral classifiers, and sieve band screens can be simulated, and the user may choose the combination of devices for the flowsheet simulation. In addition, the user may select from four classification modeling methods to achieve the goals of a simulation project using themore » most familiar concepts. Circuit performance is modeled based on classification parameters or equipment operating conditions. A modular approach was taken in designing the program, which allows future addition of other models with relatively minor changes.« less

  16. Simple Modular LED Cost Model

    Broader source: Energy.gov [DOE]

    The LED Cost Model, developed by the DOE Cost Modeling Working Group, provides a simplified method for analyzing the manufacturing costs of an LED package. The model focuses on the major cost...

  17. Sandia Energy - PV Modeling & Analysis

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

    PV Modeling & Analysis Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis PV Modeling & AnalysisTara Camacho-Lopez2015-05-11T20:03...

  18. On Reflexive Data Models

    SciTech Connect (OSTI)

    Petrov, S.

    2000-08-20

    An information system is reflexive if it stores a description of its current structure in the body of stored information and is acting on the base of this information. A data model is reflexive, if its language is meta-closed and can be used to build such a system. The need for reflexive data models in new areas of information technology applications is argued. An attempt to express basic notions related to information systems is made in the case when the system supports and uses meta-closed representation of the data.

  19. Macro-System Model Overview

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

    Macro System Model (MSM) (National Renewable Energy Laboratory) Objectives Perform rapid cross-cutting analysis that utilizes and links other models. Ensure all aspects of hydrogen pathway and cost analysis is included such as hydrogen purity, leakage, etc. Key Attributes & Strengths Easily and rapidly links modeling experts with DOE's other models that are included in the MSM. Platform, Requirements & Availability MSM is a static, cross-cutting model which links models from various

  20. Physics Beyond the Standard Model

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

    Physics Beyond the Standard Model 1663 Los Alamos science and technology magazine Latest Issue:October 2015 past issues All Issues submit Physics Beyond the Standard Model...

  1. Improved MK42 Melting Model

    SciTech Connect (OSTI)

    Tudor, A.A.

    2001-09-19

    An improved Mark 42 melting model has been defined for establishing confinement protection limits (CPLs). This report describes the new melting model and its application in computing CPLs.

  2. Reservoir Modeling Working Group Meeting

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

    Reservoir Modeling Working Group Meeting 2012 GEOTHERMAL TECHNOLOGIES PROGRAM PEER REVIEW ... History Past Meetings: March 2010 IPGT Modeling Working Group Meeting May 2010 GTP Peer ...

  3. Advanced Modeling for Particle Accelerators

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

    multiphysics, multi-bunch modeling of injectors, boosters, and debunchers for performance optimization. These applications include large-scale electromagnetic modeling of...

  4. COMMUTER Model | Open Energy Information

    Open Energy Info (EERE)

    computer model that estimates the travel and emissions impacts of transportation air quality programs focused on commuting. The model is particularly useful for programs...

  5. Simple ocean carbon cycle models

    SciTech Connect (OSTI)

    Caldeira, K.; Hoffert, M.I.; Siegenthaler, U.

    1994-02-01

    Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.

  6. Beyond the Standard Model Theory

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

    Beyond the Standard Model Theory Beyond the Standard Model Understanding discoveries at the Energy, Intensity, and Cosmic Frontiers Get Expertise Rajan Gupta (505) 667-7664 Email ...

  7. Reference Model Development

    SciTech Connect (OSTI)

    Jepsen, Richard

    2011-11-02

    Presentation from the 2011 Water Peer Review in which principal investigator discusses project progress to develop a representative set of Reference Models (RM) for the MHK industry to develop baseline cost of energy (COE) and evaluate key cost component/system reduction pathways.

  8. Modeling the earth system

    SciTech Connect (OSTI)

    Ojima, D.

    1992-12-31

    The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

  9. Wear-mechanism modelling

    SciTech Connect (OSTI)

    Ashby, M.F. . Dept. of Engineering)

    1993-03-01

    Goals of the program are to calculate the surface temperatures in dry sliding, develop a soft wear tester for ceramics, survey the wear mechanisms in brittle solids, and couple the temperature calculations with models to give wear maps for brittle solids. (DLC)

  10. Hawaii Gravity Model

    SciTech Connect (OSTI)

    Nicole Lautze

    2015-12-15

    Gravity model for the state of Hawaii. Data is from the following source: Flinders, A.F., Ito, G., Garcia, M.O., Sinton, J.M., Kauahikaua, J.P., and Taylor, B., 2013, Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes: Geophysical Research Letters, v. 40, p. 3367–3373, doi:10.1002/grl.50633.

  11. Modeling the Hall Thruster

    SciTech Connect (OSTI)

    Fisch, N.J.; Fruchtman, A.

    1998-08-01

    The acceleration of the plasma in the Hall thruster to supersonic velocities is examined by the use of a steady state model. Flows that are smooth across the sonic transition plane are found. The possibility of generating flows in which the acceleration across the sonic plane is abrupt, is also studied.

  12. World Natural Gas Model

    Energy Science and Technology Software Center (OSTI)

    1994-12-01

    RAMSGAS, the Research and Development Analysis Modeling System World Natural Gas Model, was developed to support planning of unconventional gaseoues fuels research and development. The model is a scenario analysis tool that can simulate the penetration of unconventional gas into world markets for oil and gas. Given a set of parameter values, the model estimates the natural gas supply and demand for the world for the period from 1980 to 2030. RAMSGAS is based onmore » a supply/demand framwork and also accounts for the non-renewable nature of gas resources. The model has three fundamental components: a demand module, a wellhead production cost module, and a supply/demand interface module. The demand for gas is a product of total demand for oil and gas in each of 9 demand regions and the gas share. Demand for oil and gas is forecast from the base year of 1980 through 2030 for each demand region, based on energy growth rates and price-induced conservation. For each of 11 conventional and 19 unconventional gas supply regions, wellhead production costs are calculated. To these are added transportation and distribution costs estimates associated with moving gas from the supply region to each of the demand regions and any economic rents. Based on a weighted average of these costs and the world price of oil, fuel shares for gas and oil are computed for each demand region. The gas demand is the gas fuel share multiplied by the total demand for oil plus gas. This demand is then met from the available supply regions in inverse proportion to the cost of gas from each region. The user has almost complete control over the cost estimates for each unconventional gas source in each year and thus can compare contributions from unconventional resources under different cost/price/demand scenarios.« less

  13. DRI Model of the U.S. Economy -- Model Documentation:

    Reports and Publications (EIA)

    1993-01-01

    Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.

  14. GROUT HOPPER MODELING STUDY

    SciTech Connect (OSTI)

    Lee, S.

    2011-08-30

    The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady

  15. Drift Scale THM Model

    SciTech Connect (OSTI)

    J. Rutqvist

    2004-10-07

    This model report documents the drift scale coupled thermal-hydrological-mechanical (THM) processes model development and presents simulations of the THM behavior in fractured rock close to emplacement drifts. The modeling and analyses are used to evaluate the impact of THM processes on permeability and flow in the near-field of the emplacement drifts. The results from this report are used to assess the importance of THM processes on seepage and support in the model reports ''Seepage Model for PA Including Drift Collapse'' and ''Abstraction of Drift Seepage'', and to support arguments for exclusion of features, events, and processes (FEPs) in the analysis reports ''Features, Events, and Processes in Unsaturated Zone Flow and Transport and Features, Events, and Processes: Disruptive Events''. The total system performance assessment (TSPA) calculations do not use any output from this report. Specifically, the coupled THM process model is applied to simulate the impact of THM processes on hydrologic properties (permeability and capillary strength) and flow in the near-field rock around a heat-releasing emplacement drift. The heat generated by the decay of radioactive waste results in elevated rock temperatures for thousands of years after waste emplacement. Depending on the thermal load, these temperatures are high enough to cause boiling conditions in the rock, resulting in water redistribution and altered flow paths. These temperatures will also cause thermal expansion of the rock, with the potential of opening or closing fractures and thus changing fracture permeability in the near-field. Understanding the THM coupled processes is important for the performance of the repository because the thermally induced permeability changes potentially effect the magnitude and spatial distribution of percolation flux in the vicinity of the drift, and hence the seepage of water into the drift. This is important because a sufficient amount of water must be available within a

  16. Decision Impact Assessment Model

    Energy Science and Technology Software Center (OSTI)

    1991-08-01

    DIAMOND represents the decision-making environment that utility planners and executives face. Users interact with the model after every year or two of simulation, which provides an opportunity to modify past decisions as well as to make new decisions. For example, construction of a power plant can be started one year, and if circumstances change, the plant can be accelerated, mothballed, cancelled, or continued as originally planned. Similarly, the marketing and financial incentives for demand-side managementmore » programs can be changed from year to year. This frequent user interaction with the model, an operational game, should build greater understanding and insights among utility planners about the risks associated with different types of resources.« less

  17. Simplified tritium permeation model

    SciTech Connect (OSTI)

    Longhurst, G.R.

    1993-09-17

    In this model I seek to provide a simplified approach to solving permeation problems addressed by TMAP4. I will assume that there are m one-dimensional segments with thickness L{sub i}, i = 1, 2, {hor_ellipsis}, m, joined in series with an implantation flux, J{sub i}, implanting at the single depth, {delta}, in the first segment. From material properties and heat transfer considerations, I calculate temperatures at each face of each segment, and from those temperatures I find local diffusivities and solubilities. I assume recombination coefficients K{sub r}{sub 1} and K{sub r}{sub 2} are known at the upstream and downstream faces, respectively, but the model will generate Baskes recombination coefficient values on demand. Here I first develop the steady-state concentration equations and then show how trapping considerations can lead to good estimates of permeation transient times.

  18. SDI CFD MODELING ANALYSIS

    SciTech Connect (OSTI)

    Lee, S.

    2011-05-05

    The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and

  19. Model Analysis ToolKit

    Energy Science and Technology Software Center (OSTI)

    2015-05-15

    MATK provides basic functionality to facilitate model analysis within the Python computational environment. Model analysis setup within MATK includes: - define parameters - define observations - define model (python function) - define samplesets (sets of parameter combinations) Currently supported functionality includes: - forward model runs - Latin-Hypercube sampling of parameters - multi-dimensional parameter studies - parallel execution of parameter samples - model calibration using internal Levenberg-Marquardt algorithm - model calibration using lmfit package - modelmore » calibration using levmar package - Markov Chain Monte Carlo using pymc package MATK facilitates model analysis using: - scipy - calibration (scipy.optimize) - rpy2 - Python interface to R« less

  20. Extreme Conditions Modeling

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

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

  1. Reference Model Project (RMP)

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

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

  2. Modeling & Simulation | NISAC

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

    NISACModeling & Simulation content top Overview Posted by Admin on Feb 13, 2012 in | Comments 0 comments NISAC experts analyze-using modeling and simulation capabilities-critical infrastructure, along with their interdependencies, vulnerabilities, and complexities. Their analyses are used to aid decisionmakers with policy assessment, mitigation planning, education, and training and provide near-real-time assistance to crisis-response organizations. Infrastructure systems are large, complex,

  3. Climate Measurement & Modeling

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

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

  4. Severe Accident Modeling

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

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

  5. High-fidelity Modeling

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

    fidelity Modeling of Local Effects of Damage for Derated Offshore Wind Turbines Phillip W. Richards Graduate Research Assistant, Daniel Guggenheim School of Aerospace Engineering. Georgia Institute of Technology, Atlanta, Georgia 30332-0150 E-mail: phillip@gatech.edu D. Todd Griffith Principal Member of the Technical Staff. Associate Fellow, AIAA. Sandia National Laboratories, Albuquerque, New Mexico 87123 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia

  6. travel-demand-modeling

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

    Travel Demand Modeling for a Small sized MPO Using TRANSIMS Mohammad Sharif Ullah Champaign County Regional Planning Commission 1776 E Washington Street, Urbana, IL 61802 Phone: 217 328 3313 Ext 124 Email: This email address is being protected from spambots. You need JavaScript enabled to view it. List of Authors ================ Mohammad Sharif Ullah, Senior Transportation Engineer, CCRPC, Urbana, IL Asadur Rahman, PhD student, IIT, Chicago, IL Rita Morocoima-Black, Planning & Comm.

  7. Strategic Analysis and Modeling

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

    NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Strategic Analysis and Modeling Mary J. Biddy, Ling Tao, Eric Tan, Yimin Zhang National Renewable Energy Laboratory March 24, 2015 Analysis and Sustainability Peer Review 2015 DOE Bioenergy Technologies Office (BETO) Project Peer Review 2 Goal Statement * Develop tools and perform analyses to address key questions in support of

  8. Combustion and Emissions Modeling

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

    Combustion and Emissions Modeling This email address is being protected from spambots. You need JavaScript enabled to view it. - Computational Fluid Dynamics Project Leader Background Modern transportation engines are designed to use the available fuel resources efficiently and minimize harmful emissions. Optimization of these designs is based on a wealth of practical design, construction and operating experiences, and use of modern testing facilities and sophisticated analyses of the combustion

  9. Theory & Modeling

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

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

  10. CEC Array Modeling

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

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

  11. Molecular model generator toolkit

    SciTech Connect (OSTI)

    Schneider, R.D.

    1994-07-01

    This report is a user manual for an ASCII file of Fortran source code which must be compiled before use. The software will assist in creating plastic models of molecules whose specifications are described in the Brookhaven Protein Databank. Other data files can be used if they are in the same format as the files in the databank. The output file is a program for a 3-D Systems Stereolithography Apparatus and the program is run on a SGI Indigo workstation.

  12. Electricity Portfolio Simulation Model

    Energy Science and Technology Software Center (OSTI)

    2005-09-01

    Stakeholders often have competing interests when selecting or planning new power plants. The purpose of developing this preliminary Electricity Portfolio Simulation Model (EPSim) is to provide a first cut, dynamic methodology and approach to this problem, that can subsequently be refined and validated, that may help energy planners, policy makers, and energy students better understand the tradeoffs associated with competing electricity portfolios. EPSim allows the user to explore competing electricity portfolios annually from 2002 tomore » 2025 in terms of five different criteria: cost, environmental impacts, energy dependence, health and safety, and sustainability. Four additional criteria (infrastructure vulnerability, service limitations, policy needs and science and technology needs) may be added in future versions of the model. Using an analytic hierarchy process (AHP) approach, users or groups of users apply weights to each of the criteria. The default energy assumptions of the model mimic Department of Energy’s (DOE) electricity portfolio to 2025 (EIA, 2005). At any time, the user can compare alternative portfolios to this reference case portfolio.« less

  13. Radiolysis Process Model

    SciTech Connect (OSTI)

    Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.

    2012-07-17

    Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.

  14. Borehole Fluid Conductivity Model

    Energy Science and Technology Software Center (OSTI)

    2004-03-15

    Dynamic wellbore electrical conductivity logs provide a valuable means to determine the flow characteristics of fractures intersectin a wellbore, in order to study the hydrologic behavior of fractured rocks. To expedite the analysis of log data, a computer program called BORE II has been deveoloped that considers multiple inflow or outflow points along the wellbore, including the case of horizontal flow across the wellbore, BORE II calculates the evolution of fluid electrical conducivity (FEC) profilesmorein a wellbore or wellbore section, which may be pumped at a low rate, and compares model results to log data in a variety of ways. FEC variations may arise from inflow under natural-state conditions or due to tracer injected in a neighboring well (interference tests). BORE II has an interactive, graphical user interface and runs on a personal computer under the Windows operating system. BORE II is a modification and extension of older codes called BORE and BOREXT, which considered inflow points only. Finite difference solution of the one-dimensional advection-diffusion equation with explicit time stepping; feed points treated as prescribed-mass sources or sinks; assume quadratic relationship between fluid electrical conductivity and ion consentration. Graphical user interface; interactive modification of model parameters and graphical display of model results and filed data in a variety of ways. Can examine horizontal flow or arbitarily complicated combination of upflow, downflow, and horizontal flow. Feed point flow rate and/or concentration may vary in time.less

  15. Modeling volcanic ash dispersal

    ScienceCinema (OSTI)

    None

    2011-10-06

    Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.

  16. LLNL Chemical Kinetics Modeling Group

    SciTech Connect (OSTI)

    Pitz, W J; Westbrook, C K; Mehl, M; Herbinet, O; Curran, H J; Silke, E J

    2008-09-24

    The LLNL chemical kinetics modeling group has been responsible for much progress in the development of chemical kinetic models for practical fuels. The group began its work in the early 1970s, developing chemical kinetic models for methane, ethane, ethanol and halogenated inhibitors. Most recently, it has been developing chemical kinetic models for large n-alkanes, cycloalkanes, hexenes, and large methyl esters. These component models are needed to represent gasoline, diesel, jet, and oil-sand-derived fuels.

  17. Modifications improve waterflood performance model

    SciTech Connect (OSTI)

    El-Banbi, A.H.; Abdel Wally, A.; Abd-el Fattah, K.A.; Sayyouh, M.H.

    1996-01-01

    Modifications to the Craig-Geffen-Morse (CGM) waterflooding model improve reservoir performance predictions and allow for the inclusion of pressure drop variations with time. The modified model was validated against numerical simulation results. The paper describes the CGM model, the hypothetical data set, the simulation technique, comparisons between the CGM model and the simulation, and modifications to the CGM model relating to pressure drop variation and water production.

  18. Category:Modeling Techniques | Open Energy Information

    Open Energy Info (EERE)

    Analytical Modeling 1 pages C Conceptual Model 1 pages M Modeling-Computer Simulations 1 pages N Numerical Modeling 1 pages P Portfolio Risk...

  19. Better Buildings Neighborhood Program Business Models Guide:...

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

    Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood ...

  20. PPPL researcher maps magnetic fields in first physics experiment on W7-X |

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

    Princeton Plasma Physics Lab researcher maps magnetic fields in first physics experiment on W7-X By Jeanne Jackson DeVoe December 4, 2015 Tweet Widget Google Plus One Share on Facebook Sam Lazerson in front of a stellarator model at PPPL that was built for the 1958 "Atoms for Peace Conference" in Geneva. (Photo by Elle Starkman/PPPL Office of Communications). (Photo by Elle Starkman/PPPL Office of Communications) Sam Lazerson in front of a stellarator model at PPPL that was built

  1. Iron-Based Amorphous Coatings Produced by HVOF Thermal Spray Processing-Coating Structure and Properties

    SciTech Connect (OSTI)

    Beardsley, M B

    2008-03-26

    The feasibility to coat large SNF/HLW containers with a structurally amorphous material (SAM) was demonstrated on sub-scale models fabricated from Type 316L stainless steel. The sub-scale model were coated with SAM 1651 material using kerosene high velocity oxygen fuel (HVOF) torch to thicknesses ranging from 1 mm to 2 mm. The process parameters such as standoff distance, oxygen flow, and kerosene flow, were optimized in order to improve the corrosion properties of the coatings. Testing in an electrochemical cell and long-term exposure to a salt spray environment were used to guide the selection of process parameters.

  2. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der Lawrence Berkeley Lab., CA )

    1992-01-01

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS's do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the Extensible Object Model'', to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  3. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der |

    1992-01-01

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS`s do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the ``Extensible Object Model``, to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  4. Benchmarking & Transparency Policy and Program Impact Evaluation...

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

    of Philadelphia * Katrina Managan, Denver, City Advisor, City Energy Project * Liz Babcock, Denver, City Advisor, City Energy Project * Sonrisa Lucero, Denver, Mayor's Offce * ...

  5. Linda Silverman | Department of Energy

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

    Linda Silverman About Us Linda Silverman - Senior Advisor, Tech-to-Market Office Linda Silverman serves as Senior Advisor to the Office of Energy Efficiency and Renewable Energy's ...

  6. Slide 1

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

    Environmental Management: M. Regalbuto Principal Deputy Assistant Secretary: M. Whitney Senior Advisor: J. Owendoff Office of External Affairs: C. Hampton* Senior Advisor: E. ...

  7. IN-VEHICLE, HIGH-POWER ENERGY STORAGE SYSTEMS

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

    Engineering advisor C.Y. Wang - Battery and fuel cell research * Max Ripepi - Masters Engineering Mechanics advisor Charles Bakis - Self levitating flywheel design...

  8. Slide 1

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

    Management: M. Regalbuto Principal Deputy Assistant Secretary: M. Whitney Senior Advisor: J. Owendoff Office of External Affairs: C. Hampton* Senior Advisor: E. Connell -...

  9. Ranking and Sequencing Model

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

    This database application (commonly called the Supermodel) provides a repository for managing critical facility/project information, allows the user to subjectively an objectively assess key criteria , quantify project risks, develop ROM cost estimates, determine facility/project end states, ultimately performing risk-based modeling to rank facilities/project based on risk, sequencing project schedules and provides an optimized recommended sequencing/scheduling of these projects which maximize the S&M cost savings to perform closure projects which benefit all stakeholders.

  10. Chemical kinetics modeling

    SciTech Connect (OSTI)

    Westbrook, C.K.; Pitz, W.J.

    1993-12-01

    This project emphasizes numerical modeling of chemical kinetics of combustion, including applications in both practical combustion systems and in controlled laboratory experiments. Elementary reaction rate parameters are combined into mechanisms which then describe the overall reaction of the fuels being studied. Detailed sensitivity analyses are used to identify those reaction rates and product species distributions to which the results are most sensitive and therefore warrant the greatest attention from other experimental and theoretical research programs. Experimental data from a variety of environments are combined together to validate the reaction mechanisms, including results from laminar flames, shock tubes, flow systems, detonations, and even internal combustion engines.

  11. Chemical Kinetic Modelling

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

    Kinetic Modelling for Combustion Prof. Henry Curran 1 Copyright ©2016 by Prof Henry Curran. This material is not to be sold, reproduced or distributed without prior written permission of the owner, Prof Henry Curran. 2 Overview/Aims 5 days / 15 lectures Day 1 (1-3) Basic thermodynamic principles Day 2 (4) Basic kinetic principles (5,6) Experimental JSR, FR, RCM & ST contribution to kinetics Day 3 (7-9) Small species mechanism development 3 Overview/Aims 5 days /

  12. Model for mapping settlements

    DOE Patents [OSTI]

    Vatsavai, Ranga Raju; Graesser, Jordan B.; Bhaduri, Budhendra L.

    2016-07-05

    A programmable media includes a graphical processing unit in communication with a memory element. The graphical processing unit is configured to detect one or more settlement regions from a high resolution remote sensed image based on the execution of programming code. The graphical processing unit identifies one or more settlements through the execution of the programming code that executes a multi-instance learning algorithm that models portions of the high resolution remote sensed image. The identification is based on spectral bands transmitted by a satellite and on selected designations of the image patches.

  13. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications (EIA)

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  14. Nacelle Systems Engineering Model and Hub Systems Engineering Model

    Energy Science and Technology Software Center (OSTI)

    2012-09-30

    nacelleSE and hubSE are a set of models that size wind turbine hub system and drivetrain components based on key turbine design parameters and load inputs from a rotor model.

  15. World Energy Projection System Plus Model Documentation: District Heat Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  16. World Energy Projection System Plus Model Documentation: Coal Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  17. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  18. World Energy Projection System Plus Model Documentation: Natural Gas Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  19. World Energy Projection System Plus Model Documentation: Main Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  20. World Energy Projection System Plus Model Documentation: Industrial Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  1. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  2. International Natural Gas Model 2011, Model Documentation Report

    Reports and Publications (EIA)

    2013-01-01

    This report documents the objectives, analytical approach and development of the International Natural Gas Model (INGM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  3. World Energy Projection System Plus Model Documentation: World Electricity Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  4. World Energy Projection System Plus Model Documentation: Transportation Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  5. World Energy Projection System Plus Model Documentation: Greenhouse Gases Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  6. World Energy Projection System Plus Model Documentation: Residential Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  7. Integration of EBS Models with Generic Disposal System Models

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the UFD campaign.

  8. Determining Reduced Order Models for Optimal Stochastic Reduced Order Models

    SciTech Connect (OSTI)

    Bonney, Matthew S.; Brake, Matthew R.W.

    2015-08-01

    The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a Taylor series using finite difference, a proper orthogonal decomposition of the the output, a Craig-Bampton representation of the model, a method that uses Hyper-Dual numbers to determine the sensitivities, and a Meta-Model method that uses the Hyper-Dual results and constructs a polynomial curve to better represent the output data. The methods are compared against a parameter sweep and a distribution propagation where the first four statistical moments are used as a comparison. Each method produces very accurate results with the Craig-Bampton reduction having the least accurate results. The models are also compared based on time requirements for the evaluation of each model where the Meta- Model requires the least amount of time for computation by a significant amount. Each of the five models provided accurate results in a reasonable time frame. The determination of which model to use is dependent on the availability of the high-fidelity model and how many evaluations can be performed. Analysis of the output distribution is examined by using a large Monte-Carlo simulation along with a reduced simulation using Latin Hypercube and the stochastic reduced order model sampling technique. Both techniques produced accurate results. The stochastic reduced order modeling technique produced less error when compared to an exhaustive sampling for the majority of methods.

  9. Generalized Environment for Modeling Systems

    Energy Science and Technology Software Center (OSTI)

    2012-02-07

    GEMS is an integrated environment that allows technical analysts, modelers, researchers, etc. to integrate and deploy models and/or decision tools with associated data to the internet for direct use by customers. GEMS does not require that the model developer know how to code or script and therefore delivers this capability to a large group of technical specialists. Customers gain the benefit of being able to execute their own scenarios directly without need for technical support.more » GEMS is a process that leverages commercial software products with specialized codes that add connectivity and unique functions to support the overall capability. Users integrate pre-existing models with a commercial product and store parameters and input trajectories in a companion commercial database. The model is then exposed into a commercial web environment and a graphical user interface (GUI) is applied by the model developer. Users execute the model through the web based GUI and GEMS manages supply of proper inputs, execution of models, routing of data to models and display of results back to users. GEMS works in layers, the following description is from the bottom up. Modelers create models in the modeling tool of their choice such as Excel, Matlab, or Fortran. They can also use models from a library of previously wrapped legacy codes (models). Modelers integrate the models (or a single model) by wrapping and connecting the models using the Phoenix Integration tool entitled ModelCenter. Using a ModelCenter/SAS plugin (DOE copyright CW-10-08) the modeler gets data from either an SAS or SQL database and sends results back to SAS or SQL. Once the model is working properly, the ModelCenter file is saved and stored in a folder location to which a SharePoint server tool created at INL is pointed. This enables the ModelCenter model to be run from SharePoint. The modeler then goes into Microsoft SharePoint and creates a graphical user interface (GUI) using the ModelCenter Web

  10. Factory Cost Model

    Energy Science and Technology Software Center (OSTI)

    1996-12-17

    The Factory Cost Model (FCM) is an economic analysis tool intended to provide flat panel display (FPD) and other similar discrete component manufacturers with the ability to make first-order estimates of the cost of unit production. This software has several intended uses. Primary among these is the ability to provide first-order economic analysis for future factories. Consequently, the model requires a minimal level of input detail, and accomodates situations where actual production data are notmore » available. This software is designed to be activity based such that most of the calculated direct costs are associated with the steps of a manufacturibg process. The FCM architecture has the ability to accomodate the analysis of existing manufacturing facilities. The FCM can provide assistance with strategic economic decisions surrounding production related matters. For instance, the program can project the effect on costs and resources of a new product''s introduction, or it can assess the potential cost reduction produced by step yield improvements in the manufacturing process.« less

  11. Global Energy Futures Model

    Energy Science and Technology Software Center (OSTI)

    2004-01-01

    The Global Energy Futures Model (GEFM) is a demand-based, gross domestic product (GDP)-driven, dynamic simulation tool that provides an integrated framework to model key aspects of energy, nuclear-materials storage and disposition, environmental effluents from fossil and non fossil energy and global nuclear-materials management. Based entirely on public source data, it links oil, natural gas, coal, nuclear and renewable energy dynamically to greenhouse-gas emissions and 13 other measures of environmental impact. It includes historical data frommore » 1990 to 2000, is benchmarked to the DOE/EIA/IEO 2002 [5] Reference Case for 2000 to 2020, and extrapolates energy demand through the year 2050. The GEFM is globally integrated, and breaks out five regions of the world: United States of America (USA), the Peoples Republic of China (China), the former Soviet Union (FSU), the Organization for Economic Cooperation and Development (OECD) nations excluding the USA (other industrialized countries), and the rest of the world (ROW) (essentially the developing world). The GEFM allows the user to examine a very wide range of what ir scenarios through 2050 and to view the potential effects across widely dispersed, but interrelated areas. The authors believe that this high-level learning tool will help to stimulate public policy debate on energy, environment, economic and national security issues.« less

  12. Operation Periods: Single Column Model

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

    2 Fall 2002 Intensive Operation Periods: Single Column Model and Unmanned Aerospace Vehicle In an Intensive Operation Period (IOP) on November 3-23, 2002, researchers at the SGP CART site are collecting a detailed data set for use in improving the Single Column Model (SCM), a scaled- down climate model. The SCM represents one vertical column of air above Earth's surface and requires less computation time than a full-scale global climate model. Researchers first use the SCM to efficiently improve

  13. ORISE: Dose modeling and assessments

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

    Dose modeling and assessments The Oak Ridge Institute for Science and Education (ORISE) offers dose modeling and assessment services to demonstrate that federal and/or state regulatory compliance requirements are being met during the decontamination and decommissioning of nuclear facilities. Dose modeling is an important step in the assessment of safety and regulatory compliance, as well as the development of standards and regulatory rulemaking. The ultimate goal of dose modeling and assessments

  14. Business Model Guide Executive Summary

    Broader source: Energy.gov [DOE]

    The Business Model Guide Executive Summary by the U.S. Department of Energy's Better Buildings Neighborhood Program.

  15. Regions in Energy Market Models

    SciTech Connect (OSTI)

    2009-01-18

    This report explores the different options for spatial resolution of an energy market model and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  16. Regions in Energy Market Models

    SciTech Connect (OSTI)

    Short, W.

    2007-02-01

    This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  17. Nattoh model for cold fusion

    SciTech Connect (OSTI)

    Matsumoto, T. . Dept. of Nuclear Engineering)

    1989-12-01

    A hypothetical model, the Nattoh model, is proposed to answer the questions that result from cold fusion experiments. This model proposes the formation of a small cluster of deuterons and examines the feasibility of many-body fusion reactions. The gamma-ray spectrum, heat production, neutron emissions, and fusion products are discussed.

  18. Biosafety Risk Assessment Model

    Energy Science and Technology Software Center (OSTI)

    2011-05-27

    Software tool based on a structured methodology for conducting laboratory biosafety risk assessments by biosafety experts. Software is based upon an MCDA scheme and uses peer reviewed criteria and weights. The software was developed upon Microsoft’s .net framework. The methodology defines likelihood and consequence of a laboratory exposure for thirteen unique scenarios and provides numerical relative risks for each of the relevant thirteen. The software produces 2-d graphs reflecting the relative risk and a sensitivitymore » analysis which highlights the overall importance of each factor. The software works as a set of questions with absolute scales and uses a weighted additive model to calculate the likelihood and consequence.« less

  19. Kauai Groundwater Flow Model

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

    Nicole Lautze

    2015-01-01

    Groundwater flow model for Kauai. Data is from the following sources: Whittier, R. and A.I. El-Kadi. 2014. Human and Environmental Risk Ranking of Onsite Sewage Disposal Systems For the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii – Final. Prepared by the University of Hawaii, Dept. of Geology and Geophysics for the State of Hawaii Dept. of Health, Safe Drinking Water Branch. September 2014.; and Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report – Volume IV – Island of Kauai Source Water Assessment Program Report. Prepared for the Hawaii Department of Health, Safe Drinking Water Branch. University of Hawaii, Water Resources Research Center. Updated 2015.

  20. Oahu Groundwater Flow Model

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

    Nicole Lautze

    2015-01-01

    Groundwater flow model for the island of Oahu. Data is from the following sources: Rotzoll, K., A.I. El-Kadi. 2007. Numerical Ground-Water Flow Simulation for Red Hill Fuel Storage Facilities, NAVFAC Pacific, Oahu, Hawaii - Prepared TEC, Inc. Water Resources Research Center, University of Hawaii, Honolulu.; Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report – Volume VII – Island of Oahu Source Water Assessment Program Report. Prepared for the Hawaii Department of Health, Safe Drinking Water Branch. University of Hawaii, Water Resources Research Center. Updated 2008.; and Whittier, R. and A.I. El-Kadi. 2009. Human and Environmental Risk Ranking of Onsite Sewage Disposal Systems – Final. Prepared by the University of Hawaii, Dept. of Geology and Geophysics for the State of Hawaii Dept. of Health, Safe Drinking Water Branch. December 2009.