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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. 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.

  5. 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.

  6. System Advisor Model, SAM 2014.1.14: General Description

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

    ... and financial metrics of renewable energy systems. Project developers, policymakers, equipment manufacturers, and researchers use SAM results to evaluate financial, ...

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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).

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

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

    Uncle Sam Turns to SAM for Solar Modeling Uncle Sam Turns to SAM for Solar Modeling July 9, 2015 - 11:15am Addthis 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 computer models developed at the National Renewable Energy

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

    Office of Environmental Management (EM)

    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

  15. 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.

  16. 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)...

  17. Project Profile: System Advisor Model Enhancements for CSP

    Broader source: Energy.gov [DOE]

    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 SAM to evaluate different system configurations to maximize earnings from electricity sales. Policy makers and designers use the model to experiment with different incentive structures.

  18. 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

  19. 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.

  20. 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.

  1. PROJECT PROFILE: System Advisor Model (SuNLaMP)

    Broader source: Energy.gov [DOE]

    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 industry. SAM makes performance predictions and cost of energy estimates for grid-connected power projects based on installation, operating costs, and system design parameters that users enter into the tool. This project will improve and maintain many features of the tool that has been instrumental in advancing the solar industry. Basic maintenance for the PVWatts Calculator tool will also be completed.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  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. 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...

  9. 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...

  10. 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...

  11. 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.

  12. 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.

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

    Office of Environmental Management (EM)

    Turns to SAM for Solar Modeling When it comes to making performance predictions and cost-of-energy estimates for ... Tax Credit (ITC) and the Production Tax Credit (PTC). ...

  14. Technoeconomic Modeling of Battery Energy Storage in SAM

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

    Technoeconomic Modeling of Battery Energy Storage in SAM Nicholas DiOrio, Aron Dobos, Steven Janzou, Austin Nelson, and Blake Lundstrom National Renewable Energy Laboratory ...

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

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

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

    Modeling Photovoltaic and Concentrating Solar Power Trough Performance, Cost, and Financing with the Solar Advisor Model Preprint Nathan Blair, Mark Mehos, and Craig Christensen National Renewable Energy Laboratory Craig Cameron Sandia National Laboratories Presented at SOLAR 2008 - American Solar Energy Society (ASES) San Diego, California May 3-8, 2008 Conference Paper NREL/CP-670-42922 May 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 NOTICE

  1. 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).

  2. 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

  3. 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.

  4. ARM - Campaign Instrument - sam

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

    govInstrumentssam Comments? We would love to hear from you! Send us a note below 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 ] Southern Great Plains, 2007.06.09 - 2007.06.30 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available measurements,

  5. 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:...

  6. 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...

  7. Mr. Leo H. ::sam

    Office of Environmental Management (EM)

    Leo H. ::sam Department of Energy Oak Ridge Office of Environmental Management P.O . Box 2001 Oak Ridge, Tennessee 37831 July 3 , 2014 President and General Manager RS IC H2M Hill Oak Ridge LLC Post Office 4699 ak Ridge. Tennessee 3783 1-4699 Dear Mr. Sai n: ONTRACT NO. DE-SC0004645, A WARD FEE DETERMI NATION FOR PERIOD 05 The Department _of Energy (DOE) Oak Ridge Office of Environmental Management (OREM) ward Fee Board has completed its evaluation of the URS ICH2M Oak Ridge LLC (UCO R)

  8. 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 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 Outside the (Tool) Box with the Building America Solution Center January 17

  9. 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...

  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. Intel® Advisor XE

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

    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 exploration

  12. PROJECT PROFILE: Improving PV performance Estimates in the System Advisor

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

    Model with Component and System Reliability Metrics | Department of Energy Improving PV performance Estimates in the System Advisor Model with Component and System Reliability Metrics PROJECT PROFILE: Improving PV performance Estimates in the System Advisor Model with Component and System Reliability Metrics Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National Laboratories, Albuquerque, NM Amount Awarded: $600,000 This project will improve the forecasting

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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

  20. 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...

  1. 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.

  2. 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,

  3. 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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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

  10. 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...

  11. DOE International Energy Advisors | Department of Energy

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

    DOE International Energy Advisors DOE International Energy Advisors Energy is a critical operational requirement and cornerstone of planning and logistics for the Department of Defense (DOD). It is also part of the strategic context in which the Combatant Commands (COCOMs) partner and operate. Since 2006, DOD has been facilitating an interagency environment in the COCOM headquarters. DOE's Office of Electricity Delivery and Energy Reliability's (OE) Infrastructure Security and Energy

  12. Labor Compliance Advisor | Department of Energy

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

    Labor Compliance Advisor Labor Compliance Advisor Executive Order 13673 Executive Order 13673 Read more Labor Standards/Wage and Hour Laws Labor Standards/Wage and Hour Laws Establishes minimum wage, overtime pay, and recordkeeping requirements. Read more Equal Employment Opportunity/Workforce Restructuring Laws Equal Employment Opportunity/Workforce Restructuring Laws Prohibits discrimination against individuals on the basis of various protected categories including race, sex, age, disability,

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

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

    Advise the Advisor: Secretary Chu on Energy Policy Advise the Advisor: Secretary Chu on Energy Policy March 31, 2011 - 3:15pm Addthis Katelyn Sabochik How can I participate? Head ...

  14. 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 Yi Cui Associate Professor of Materials Science & Engineering and of Photon Science, Stanford University Visit Website Boris Kozinsky Principal Scientist, Research and Technology Center North America, Robert Bosch LLC Visit Website Venky Narayanamurti Benjamin Peirce Research Professor of Technology and Public

  15. NREL: International Activities - India Solar Resource Maps

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

    - updated April 2013 India Weather Files Designed to be Used in System Advisor Model (SAM) Download SAM solar resource files for all Indian locations in TMY3 format SAM weather...

  16. SAMS Overview | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    SAMS Overview | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog

  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) Indexed Site

    Focus Series DENVER-ENERGY ADVISOR PROGRAM Energy Advisor Program Helps Homeowners Go the Extra Mile in Mile-High City A Better Buildings Neighborhood Program partner in Denver, Colorado, launched the Denver Energy Challenge in 2011 with a "neighborhood blitz" model focused on door-to-door outreach. In early 2012, after experiencing difficulty scheduling energy assessments and converting them to upgrades, Denver Energy Challenge revamped the program and ultimatel y upgraded more than

  18. 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 *

  19. 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...

  20. 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:...

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

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

    the FY 2014 Request. Written Statement of David Huizenga Senior Advisor for Environmental Management United States Department of Energy Before the Subcommittee on Strategic Forces...

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

    Energy Savers [EERE]

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

  3. 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.

  4. 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" ...

  5. 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...

  6. 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...

  7. 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 federal contracts must have a Data Universal Numbering System number and be registered in the System for Award Management, a new online system that includes functionality from Central Contractor Registration, Federal Regulations, the Excluded Parties List System, and the Online Representations and Certifications

  8. SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building

    Energy Savers [EERE]

    SOUTHEASTERN FEDERAL POWER ALLIANCE Sam Nunn Federal Building 61 Forsyth Street SW, Atlanta, GA 30303 April 2, 2015 April 1, 2015: Meet on the Glenn Hotel roof at 6:00 p.m. to walk to Dutch-treat dinner at Ted's Montana Grill, 133 Luckie Street Northwest. April 2, 2015: Meeting will begin at 8:30 a.m. in the Sam Nunn Federal Building. *************************************** 1. Welcome, Announcements & Introductions .................................................. Joel Seymour 2. Opening

  9. 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.

  10. 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

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

    Energy Savers [EERE]

    on Energy and Water Development Committee on Appropriations (March 19, 2013) | Department of Energy David Huizenga's Written Statement Before the Subcommittee on Energy and Water Development Committee on Appropriations (March 19, 2013) Senior Advisor David Huizenga's Written Statement Before the Subcommittee on Energy and Water Development Committee on Appropriations (March 19, 2013) Written Statement of David Huizenga, Senior Advisor for Environmental Management, United States Department of

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

    Energy Savers [EERE]

    Subcommittee on Strategic Forces (April 17, 2012) | Department of Energy Armed Services Subcommittee on Strategic Forces (April 17, 2012) Senior Advisor Huizenga's Written Statement before the House Armed Services Subcommittee on Strategic Forces (April 17, 2012) 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 House of Representatives on April

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

    Energy Savers [EERE]

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

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

    Energy Savers [EERE]

    Services Subcommittee on Strategic Forces (March 14, 2012) | Department of Energy Senate Armed Services Subcommittee on Strategic Forces (March 14, 2012) Senior Advisor Huizenga's Written Statement before the Senate Armed Services Subcommittee on Strategic Forces (March 14, 2012) 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 Senate, on March

  15. 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...

  16. PROJECT PROFILE: Improving PV performance Estimates in the System...

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

    with Component and System Reliability Metrics PROJECT PROFILE: Improving PV performance ... developed by Sandia into the widely-used Solar Advisor Model (SAM) software platform. ...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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.

  2. 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...

  3. 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:...

  4. 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

  5. ORISE: Chemical Stockpile Emergency Preparedness Program Training Advisor

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

    6.0 CSEPP Training HSEEP Training Spokesperson Training Incident Command System Training Emergency Management Emergency Response Crisis and Risk Communication How ORISE is Making a Difference Overview Exercises and Planning Training and Technology Support Resources How to Work With Us Contact Us Oak Ridge Institute for Science Education Training Chemical Stockpile Emergency Preparedness Program Training: Advisor 6.0 The Oak Ridge Institute for Science and Education (ORISE) designed a unique

  6. Written Statement of David Huizenga Senior Advisor for Environmental

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

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

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

    Office of Environmental Management (EM)

    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 Advisor Matt Rogers to Participate in Platts Energy Reporter Roundtable September 22, 2010 - 12:00am Addthis WASHINGTON -Thursday, September 23, 2010, Cathy Zoi, Assistant Secretary of Energy Efficiency and Renewable Energy and Matt Rogers, Senior Advisor to the Secretary of Energy, will participate

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

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

    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:

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

    National Nuclear Security Administration (NNSA)

    6 SPONSORED BY DOE AND NRC PREPARED BY NAC INTERNATIONAL SPECIAL EDITION NEW VERSION OF SAMS IS AVAILABLE Version 4.1 of the Safeguards Management Software (SAMS) is now available. This version will address problems previously encountered by users and also includes several new features requested by users. Updates to address previously reported problems are: Installation * Install program now imports data from older versions of SAMS Transactions * Obligation lines no longer disappear when action

  10. 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.

  11. 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...

  12. 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.

  13. 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).

  14. Focus Series: Denver Energy Advisor Program Helps Homeowners Go the Extra

    Energy Savers [EERE]

    Mile in Mile-High City | Department of Energy 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 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. PDF icon Focus Series: Denver More Documents & Publications The Better Buildings Neighborhood

  15. 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...

  16. Memo for Sam Callahan - Recommendation for change to DOE O 474.2, Nuclear

    Office of Environmental Management (EM)

    Material Control and Accountability | Department of Energy 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 Material Control and Accountability 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

  17. 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

  18. 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...

  19. 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

  20. 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.

  1. 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...

  2. 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...

  3. 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...

  4. 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 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 counts because we see time

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

    Office of Scientific and Technical Information (OSTI)

    Family: MycE from the Mycinamicin Biosynthetic Pathway (Journal Article) | SciTech Connect A New Structural Form in the SAM/Metal-Dependent O;#8209;Methyltransferase Family: MycE from the Mycinamicin Biosynthetic Pathway Citation Details In-Document Search Title: A New Structural Form in the SAM/Metal-Dependent O;#8209;Methyltransferase Family: MycE from the Mycinamicin Biosynthetic Pathway O-linked methylation of sugar substituents is a common modification in the biosynthesis of many

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

    National Nuclear Security Administration (NNSA)

    Security Administration Science Advisor John Maenchen Named as IEEE Fellow | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases

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

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

    A Note From Sam Rashkin: Goodbye Challenge, Hello Zero The DOE Challenge Home is changing its name to DOE Zero Energy Ready Home. This is a big deal! We are taking on the exhaustive process of rebranding after working so hard to establish awareness of this cutting edge new program; after developing an impressive internal infrastructure (e.g., logos, brochures, website, and extensive program documentation); and after integrating the name in external initiatives (e.g., green MLS's, regional

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

    Energy Savers [EERE]

    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

  11. 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

  12. 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

  13. 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

  14. DOE ZERH Webinar: Turning the Building America Solution Center into an Expert Advisor

    Broader source: Energy.gov [DOE]

    As we have often said, the Building America Solution Center (BASC) is your new best friend if you have anything to do with high-performance homes. It provides extensive, up-to-date content needed to integrate building science best practices in specifications, field applications, education, and code official meetings. In this webinar, Sam Rashkin and Chrissi Antonopolous will be diving into how to use the BASC for specific projects.

  15. 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.

  16. PowerPoint Presentation

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

    PV Modeling in SAM Aron P. Dobos, NREL Presented at the 2013 Sandia PV Performance Modeling Workshop Santa Clara, CA. May 1-2, 2013 Published by Sandia National Laboratories with the permission of the author. 2 System Advisor Model (SAM) * Performance models calculate a renewable energy system's hourly energy output over a single year * Financial models calculate the cost of energy for a renewable energy project over many years of operation Find out more and download the software free at

  17. 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.

  18. MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E

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

    3,2011 MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E FROM: TRACEY LEBEAU DIRECTOR, WILLIAM J. VALDEZ ACTING DIRECTOR, IMPACT AND DIVERSITY SUBJECT: Department of Energy Policy on lndian Energy Purchase Preference under the Energy Policy Act of 2005 ISSUE: The Department of Energy does not have a policy in place implementing the statutory authority under section 2602(d) of the lndian Tribal Energy Development and Self-Determination Act of 2005 (Title V of

  19. MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E

    Office of Environmental Management (EM)

    3,2011 MEMORANDUM FOR THE SECRETARY THROUGH: ARUN MAJUNIDAR SElVlOR ADVISOR/DIRECTOR, ARPA-E FROM: TRACEY LEBEAU DIRECTOR, WILLIAM J. VALDEZ ACTING DIRECTOR, IMPACT AND DIVERSITY SUBJECT: Department of Energy Policy on lndian Energy Purchase Preference under the Energy Policy Act of 2005 ISSUE: The Department of Energy does not have a policy in place implementing the statutory authority under section 2602(d) of the lndian Tribal Energy Development and Self-Determination Act of 2005 (Title V of

  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. DOE-HDBK-1116-98; DOE Handbook Guide to Good Practices for the Selection, Training, and Qualification of Shift Technical Advisors

    Office of Environmental Management (EM)

    5-98 December 1998 Superseding DOE-STD-1057-93 February 1993 DOE HANDBOOK GUIDE TO GOOD PRACTICES FOR THE SELECTION, TRAINING, AND QUALIFICATION OF SHIFT TECHNICAL ADVISORS U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. This document has been reproduced from the best available copy. Available to DOE and DOE contractors from ES&H Technical Information Services, U.S. Department of Energy, (800)

  2. 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

  3. 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)...

  4. 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...

  5. Intel Advisor XE

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

    * Design without disrupting development * New Linux* and Windows* * New C, C++, Fortran and C code 2 Add Parallelism with Less Effort, Less Risk and More Impact Copyright...

  6. Attorney-Advisor

    Broader source: Energy.gov [DOE]

    The Loan Programs Office (LPO) of the Department of Energy is recruiting one or more finance attorneys with experience in project and/or corporate finance to provide legal support, advice, and...

  7. 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...

  8. 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...

  9. 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 NRELs 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 NRELs System Advisor Model program to model partial shading losses.

  10. 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.

  11. 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?

  12. 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...

  13. 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.

  14. Modeling

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

    PVLibMatlab Permalink Gallery Sandia Labs Releases New Version of PVLib Toolbox Modeling, News, Photovoltaic, 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 systems. The version 1.3 release includes the following added functions: functions to estimate parameters for popular PV module models, including PVsyst and the CEC '5 parameter' model a new model of the effects of solar

  15. Modeling

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

    Engine Combustion/Modeling - Modelingadmin2015-10-28T01:54:52+00:00 Modelers at the CRF are developing high-fidelity simulation tools for engine combustion and detailed micro-kinetic, surface chemistry modeling tools for catalyst-based exhaust aftertreatment 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 understanding of the fundamental processes involved in engine

  16. Modeling

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

    Reacting Flow/Modeling - Modelingadmin2015-10-28T02:39:13+00:00 Turbulence models typically involve coarse-graining and/or time averaging. Though adequate for modeling mean transport, this approach does not address turbulence-microphysics interactions that are important in combustion processes. Subgrid models are developed to represent these interactions. The CRF has developed a fundamentally different representation of these interactions that does not involve distinct coarse-grained and subgrid

  17. Modeling

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

    Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project Capabilities, Center for Infrastructure Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News, News & Events, Partnership, Research & Capabilities, Systems Analysis, Systems Engineering, Transportation Energy Widespread Hydrogen Fueling Infrastructure Is

  18. Modeling

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

    WVMinputs-outputs Permalink Gallery Sandia Labs releases wavelet variability model (WVM) Modeling, News, Photovoltaic, Solar Sandia Labs releases wavelet variability model (WVM) When a single solar photovoltaic (PV) module is in full sunlight, then is shaded by a cloud, and is back in full sunlight in a matter of seconds, a sharp dip then increase in power output will result. However, over an entire PV plant, clouds will often uncover some modules even as they cover others, [...] By Andrea

  19. Modeling

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

    New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Partnership New Project Is the ACME of Computer Science to Address Climate Change Sandia high-performance computing (HPC) researchers are working with DOE and 14 other national laboratories and institutions to develop and apply the most complete climate and Earth system model, to address the most challenging and

  20. Modeling

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

    A rail tank car of the type used to transport crude oil across North America. Recent incidents have raised concerns about the safety of this practice, which the DOE-DOT-sponsored team is investigating. (photo credit: Harvey Henkelmann) Permalink Gallery Expansion of DOE-DOT Tight Oil Research Work Capabilities, Carbon Capture & Storage, Carbon Storage, Energy, Energy Assurance, Energy Assurance, Fuel Options, Infrastructure Assurance, Infrastructure Security, Modeling, Modeling, Modeling

  1. 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.

  2. Modeling

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

    in warm dense matter experiments with diffuse interface methods in the ALE-AMR code Wangyi Liu ∗ , John Barnard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder † August 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid

  3. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  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 Earth looks like at night? NASA provides a clear, cloud-free view of the Earth at night using the Suomi National Polar-orbiting Partnership Satellite. The satellite utilizes an instrument known as the Visible Infrared Radiometer Suite (VIIRS), which allows the satellite to capture images of a "remarkably detailed

  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. Wising Up Uncle Sam to Cybertricks

    Broader source: Energy.gov [DOE]

    Under Secretary for Energy Daniel Poneman discusses information technology upgrades necessary to protect nation’s vital infrastructure.

  9. 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.

  10. Modeling

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

    diffuse interface methods in ALE-AMR code 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 LLNL, USA This work was part of the Petascale Initiative in Computational Science at NERSC, supported by the Director, Office of Science, Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work was performed

  11. Attorney Advisor (Environmental) | Department of Energy

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

    West Valley, New York Announcement Number DOE-MP-CC-16-00004-EX Job Summary 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. EM is responsible for the world's largest cleanup program. EMCBC provides exemplary business and technical resources to the EM cleanup program. OCC provides attorney/paralegal services to resolve legal issues arising at the

  12. Attorney-Advisor (Contract) | Department of Energy

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

    Cincinnati, Ohio Announcement Number DOE-MP-EMCBC-16-B001-EX Job Summary This is an Excepted Service position located in the DOE Office of Environmental Management (EM), EM Consolidated Business Center (CBC), Office of Chief Council (OCC). EM is responsible for the world's largest cleanup program. EMCBC provides exemplary business and technical resources to the EM cleanup program. OCC provides attorney/paralegal services to resolve legal issues arising at the Business Center, client sites,

  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. 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

  15. 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...

  16. 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...

  17. 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...

  18. 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,...

  19. 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...

  20. Richard Gerber! NERSC Senior Science Advisor

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

    b ullet p oints t hat c apture t he highlights o f y our d iscussions * Pick u p n ame t ags a nd t ents * Floaters a nd v isitors * Session assignments at * h bp:...

  1. 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...

  2. DOE International Energy Advisors | Department of Energy

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

    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

  3. 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...

  4. 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.

  5. 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.

  6. 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.

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

    SciTech Connect (OSTI)

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

    2011-01-01

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

  8. 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.

  9. 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.

  10. 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 States 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.

  11. 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.

  12. 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:...

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

    Broader source: Energy.gov [DOE]

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

  14. 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.

  15. 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

  16. Evaluating Behind-the-Meter Energy Storage Systems with NREL...

    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 ...

  17. 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.

  18. 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

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

    Office of Environmental Management (EM)

    of approximately 56 million gallons of radioactive waste stored in 177 underground storage tanks at the Hanford site. We have encountered several technical and management...

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

    Energy Savers [EERE]

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

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

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

    for Today * This i s a n i ntroductory c lass f or n ew N ERSC u sers * We p lan t o s tay o n : me * Please h old l engthy q ues:ons f or Q &A p eriods * Schedule - Accounts a...

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

    Office of Environmental Management (EM)

    a number of the Office of Environmental Management's most recent accomplishments. Continuous Improvement in Integrated Safety Management One of my highest areas of emphasis...

  3. 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

  4. Richard Gerber! NERSC Senior Science Advisor! Acting User Services...

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

    - Media - Broadcast a nd r ecord l ive e vents * News stories * NERSC w eb s ite * Social media --- 3 --- Year-Long Celebration of NERSC's 40th NERSC, w ith 4 ,500 u sers...

  5. Senior Technical Advisor (Cyber Security) | Department of Energy

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

    Department of Energy Locations Washington DC, District of Columbia Announcement Number DOE-HQ-OE-16-44444-EXC Job Summary 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 infrastructure; deter, mitigate, or neutralize potential attacks against the enemy infrastructure; and lead Federal efforts to recover from disruptions in the energy infrastructure,

  6. Richard Gerber! NERSC Senior Science Advisor! NERSC User Services...

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

    f or h ighly e fficient o rganic photovoltaic d evices. Compared t o p erforming t he s ame simulaons o n m ulcore n odes w ith LAMMPS, D irac i s a 58X m ore e fficient u se...

  7. Written Statement of David Huizenga Senior Advisor for Environmental

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

    Management United States Department of Energy Before the Subcommittee on Strategic Forces Armed Services Committee United States House of Representatives (May 9, 2013) | Department of Energy House of Representatives. He 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. PDF icon Written Statement of

  8. NREL: Energy Analysis - Jennie Jorgenson

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

    Energy systems modeling with SAM Unit commitment and dispatch modeling Integrating concentrating solar power, energy storage, and demandresponse into power grid models ...

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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...

  14. 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.

  15. 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...

  16. 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...

  17. Systems Modeling

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

    ... Model Nambe Pueblo Water Budget Model Hydrogen Futures Simulations Model Barton Springs ... & Analysis Project Algae Biofuels Techno-Economic Modeling and Analysis Project Climate ...

  18. 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 developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.

  19. 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 NCARs 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.

  20. Programming models

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

    Task-based models Task-based models and abstractions (such as offered by CHARM++, Legion and HPX, for example) offer many attractive features for mapping computations onto...

  1. 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.

  2. 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 commitment.« less

  3. 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).

  4. 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-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).

  5. 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 OSPREY to used and evaluate the model.

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

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1046242 Resource Type: Journal Article Resource Relation: Journal Name: Journal of Molecular Biology; Journal Volume: 413; Journal Issue: 2 Research Org: Advanced ...

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

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

    ... goals established by the initial JBEI proposal. Research directions are adjusted in response to ... windustry for federal grants o Hold grant writing seminars at JBEI covering ...

  8. 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

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

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

    ... Technology Review. Electric ... assessed, applied, and broadly ... efficiencies, decreased design-iteration cycle time, and enhanced engineering creativity. ...

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

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

    Initiative and the 2015 DOE Quadrennial Technology Review. ... that may be refined and applied to future public-private ... discovery science, battery design, research prototyping, and ...

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

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

    ... and policies to foster creativity and maximize the ... DOE Quadrennial Technology Review. beginning of the ... within existing evaluation, design and scale-up processes. ...

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

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

    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, ...

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

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

    ... Through all of these structures, and also through many informal interactions with corporations, CMI brings life to its first value statement: "We Listen." Oversight, Review and ...

  14. 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 Measurements Using a Diffraction Approximation J.G. DeVore 1 , A.T. Stair 1 , S.A. Rappaport 1,2 1 Science and Engineering Applications Corporation Burlington, MA 01803 2 Department of Physics, MIT Cambridge, MA 02139 1. Diffraction Approximation Contact: J. DeVore devore@ScEAC.com 781-791-3209 March 08 - SC-0023 2. Key Theoretical Result The differential density of spherical scatterers, n(r) (#/area/µ µ µ

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

    National Nuclear Security Administration (NNSA)

    * Windows 7 - Browser * Explorer 8 or newer Installation Guide and User's Manual 5 Location Will be available at: - http:nnsa.energy.govaboutusourprograms...

  16. ALSO: BUILDING A BETTER MICROSYSTEM SPRAY IT AGAIN, SAM VR Tool...

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

    ... The rescuer wears sensors on the arms, legs, and waist, allowing the player's motions to be fed back into the simulation. The researchers worked closely with Dr. Annette Sobel, a ...

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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.

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

  3. 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...

  4. Autonomie Model

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

    Autonomie Model (Argonne National Laboratory) Objectives Perform simulations to assess the energy consumption and performance of advanced component and powertrain technologies in a vehicle system context. Key Attributes & Strengths Developed over the past 15 years, Autonomie has been validated using component and vehicle test data, providing confidence in the results. Thus, the tool is widely accepted by the industry and has been licensed to more than 150 organizations worldwide. The model

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. Danielle Carnival | Department of Energy

    Office of Environmental Management (EM)

    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

  12. 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 Fuel Cycle Defense Waste Management Programs

  13. 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 computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

  14. Alice Lippert | Department of Energy

    Energy Savers [EERE]

    Alice Lippert About Us Alice Lippert - Senior Technical Advisor to the Deputy Assistant Secretary of Energy Infrastructure Modeling and Analysis Ms. Alice Lippert has over 30 years in federal service. She is currently employed with the U.S. Department of Energy's (DOE) Office of Electricity Delivery and Energy Reliability (OE) where she serves as the Senior Technical Advisor to the Deputy Assistant Secretary of Energy Infrastructure Modeling and Analysis (EIMA). She was formerly the Acting

  15. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  16. 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.

  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. 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 highway vehicle technologies and alternative fuels, up to the year 2100. Key Attributes & Strengths Uses vehicle survival and age-dependent usage characteristics to project total light- and heavy-vehicle stock, total vehicle miles of travel, and total energy use by technology and fuel type by year, given market

  19. 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...

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

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

    ... expenses and informing the investor community on the status and progress of MHK systems. ... These demonstrations have greatly increased our knowledge and understanding of device ...

  1. Macro System Model (MSM)

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

    Objectives Perform rapid cross-cutting analysis that utilizes and links other models. ... MSM is a static, cross-cutting model which links models from various modeling platforms. ...

  2. Sandia Energy - Phenomenological Modeling

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

    Phenomenological Modeling Home Stationary Power Nuclear Fuel Cycle Nuclear Energy Safety Technologies Phenomenological Modeling Phenomenological ModelingTara Camacho-Lopez2015-05-1...

  3. 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.

  4. Summary of AEO2016 Electricity Working Group Meeting held on...

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

    ... Cara EIA Napolitano, Sam EIA Slater-Thompson, Nancy EIA Hagen, Ronald DOE, Office of ... to model 111(b)-compliant technologies (e.g., IGCC co-fired with natural gas, pulverized ...

  5. PPPL researcher maps magnetic fields in first physics experiment...

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

    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...

  6. 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....

  7. Reformulated Gasoline Complex Model

    Gasoline and Diesel Fuel Update (EIA)

    Refiners Switch to Reformulated Gasoline Complex Model Contents * Summary * Introduction o Table 1. Comparison of Simple Model and Complex Model RFG Per Gallon Requirements * Statutory, Individual Refinery, and Compliance Baselines o Table 2. Statutory Baseline Fuel Compositions * Simple Model * Complex Model o Table 3. Complex Model Variables * Endnotes Related EIA Short-Term Forecast Analysis Products * RFG Simple and Complex Model Spreadsheets * Areas Particpating in the Reformulated Gasoline

  8. 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...

  9. 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

  10. 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...

  11. 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...

  12. Building Energy Modeling Library

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

    Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge ... Links within modeling process for informing design Terms Methods Project Phase Key ...

  13. Single-Column Modeling

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

    of the Atmospheric Radiation Measurement (ARM) Program. The model contains a full set of modern GCM parameterizations of subgrid physical processes. To force the model, the...

  14. 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...

  15. 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-NEs 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.

  16. 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

  17. 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.

  18. 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.

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

    SciTech Connect (OSTI)

    Hickey, Scott [UC Berkely

    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.

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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.

  5. 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....

  6. Multifamily Envelope Leakage Model

    Energy Savers [EERE]

    Multifamily Envelope Leakage Model © Steven Winter Associates, Inc. 2013 Acknowledgements * Sponsored by Department of Energy's Building America Program © Steven Winter Associates, Inc. 2013 NEW YORK, NY | WASHINGTON, DC | NORWALK, CT CALL US 866.676.1972 | SWINTER.COM Outline/Agenda * Introduce multifamily air leakage testing * Statement of the problem * Steps taken for a solution * Model results * Applying the model * Benefits of the model © Steven Winter Associates, Inc. 2013 NEW YORK, NY

  7. Modeling & Analysis

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

    A view upwind of SWIS' aerosol-generating system. Permalink Gallery Sandia Wake-Imaging System Successfully Deployed at Scaled Wind Farm Technology Facility Analysis, Capabilities, Energy, Facilities, Modeling, Modeling, Modeling & Analysis, Modeling & Analysis, News, News & Events, Partnership, Renewable Energy, Research & Capabilities, SWIFT, Systems Analysis, Technical Highlights, Wind Energy, Wind News Sandia Wake-Imaging System Successfully Deployed at Scaled Wind Farm

  8. 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.

  9. 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.

  10. 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

  11. CONTENT MODEL HOW-TO

    Energy Science and Technology Software Center (OSTI)

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

  12. 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.

  13. 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.

  14. 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 the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To asses the impacts of moisture on the ventilation efficiency.

  15. Southwestern Power Administration One West Third Street

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

    EF14-2-000 Southwestern Power Administration (Sam Rayburn Dam Hydroelectric Project) ORDER ... Southwestern from the Sam Rayburn Dam Hydroelectric Project (Sam Rayburn Project). 1 The ...

  16. 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.

  17. Modeling & Simulation

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

    Modeling & Simulation Modeling & Simulation 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 Communications Email The inherent knowledge of transformation has beguiled sorcerers and scientists alike. Data Analysis and Modeling & Simulation for the Chemical Sciences Project Description Almos every

  18. PV modules modelling

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

    of the Environmental Sciences / Group of Energy / PVsyst Modeling Systems Losses in PVsyst André Mermoud Institute of the Environmental Sciences Group of energy - PVsyst andre.mermoud@unige.ch Institute of the Environmental Sciences / Group of Energy / PVsyst Summary Losses in a PV system simulation may be: - Determined by specific models (shadings) - Interpretations of models (PV module behaviour) - User's parameter specifications (soiling, wiring, etc). PVsyst provides a detailed analysis of

  19. Modeling & Simulation publications

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

    Modeling & Simulation » 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, and L.A. Collins,

  20. 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

  1. 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...

  2. 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%.

  3. 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.

  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 ...

  5. Power Sector Modeling 101

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

    given assumptions about future electricity demand, fuel prices, technology cost ... * Production Cost (Grid OperationsUnit Commitment and Dispatch) Models * Network ...

  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. 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...

  8. 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.

  9. PV Reliability & Performance Model

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

    ... PV Reliability & Performance Model HomeStationary PowerEnergy Conversion ... such as module output degradation over time or disruptions such as electrical grid outages. ...

  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. 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. Collectively, the potential human receptor and exposure pathways form the biosphere model. More detailed technical information and data about potential human receptor groups and the characteristics of exposure pathways have been developed in a series of AMRs and Calculation Reports.

  12. 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.

  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. 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/

  15. 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.

  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. 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 NRCs 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

  19. 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

  20. Autotune Building Energy Models

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

    Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and

  1. Development of Reference Models and Design Tools (LCOE Models) | Department

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

    of Energy Development of Reference Models and Design Tools (LCOE Models) Development of Reference Models and Design Tools (LCOE Models) Development of Reference Models and Design Tools (LCOE Models) Office presentation icon 17_reference_model_snl_jepsen.ppt More Documents & Publications FY 09 Lab Call: Research & Assessment for MHK Development 2014 Water Power Program Peer Review Compiled Presentations: Marine and Hydrokinetic Technologies Effects on the Physical Environment

  2. 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...

  3. 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...

  4. 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.

  5. 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.

  6. 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.

  7. 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 Experiments Alice Koniges 1,a , Wangyi Liu 1 , Steven Lidia 1 , Thomas Schenkel 1 , John Barnard...

  8. 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...

  9. 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...

  10. Theory, Modeling and Computation

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

    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...

  11. 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.

  12. 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

  13. 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...

  14. HyPRO Model

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

    HyPRO Model (Strategic Analysis, Inc.) Objectives Provide a modeling tool to develop an understanding of how the hydrogen production infrastructure might evolve in the United States and determine the factors that will drive infrastructure development. Key Attributes & Strengths HyPRO provides a transparent enumeration of production, delivery and dispensing costs for comparison of different options. It also provides a graphical projection of production, delivery and dispensing infrastructure

  15. 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.

  16. integrated-transportation-models

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

    Training Archive Integrated Transportation Models Workshop at ITM 2012 April 29, 2012 Hyatt Regency Tampa Hosted by: The Transportation Research and Analysis Computing Center at Argonne National Laboratory This email address is being protected from spambots. You need JavaScript enabled to view it. The aim of the workshop was to provide an opportunity for researchers and practitioners to discuss recent research results that can support a wider application of integrated transportation models,

  17. HTL Model Development

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

    1.3.4.100 HTL Model Development MARCH 24, 2015 ALGAE Sue Jones Yunhua Zhu, Lesley Snowden-Swan, Dan Anderson, Rich Hallen, Karl Albrecht, Doug Elliott, Andy Schmidt Pacific Northwest National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Goal Statement for HTL Model 2 GOAL: Enable R&D to produce sustainable, economic liquid fuels through targeted research coupled with techno-economic analysis (TEA) leading to optimized algal

  18. 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

  19. Modeling & Analysis

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

    SunShot Grand Challenge: Regional Test Centers Modeling & Analysis Home/Tag:Modeling & Analysis - Electricity use by water service sector and county. Shown are electricity use by (a) large-scale conveyance, (b) groundwater irrigation pumping, (c) surface water irrigation pumping, (d) drinking water, and (e) wastewater. Aggregate electricity use across these sectors (f) is also mapped. Permalink Gallery Sandians Recognized in Environmental Science & Technology's Best Paper

  20. WEC Model Development at Sandia

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

    2C Marine and Hydrokinetic Instrumentation, Measurement & Computer Modeling Workshop - Broomfield, CO July 9 th , 2012 Wave Energy Converter Model Development at Sandia Outline  Overview of SNL's WEC Modeling Activities * Wave Energy Development Roadmap * MHK Reference Models - Diana Bull * WEC Model Tool Development - Kelley Ruehl Reference Models and SNL Array Modeling presented in next session Wave Energy Development Roadmap Overall Goal and Motivation  Goal: Develop a suggested

  1. 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 Analysis Report'' (BSC 2004 [DIRS 170003]).

  2. Next Generation Calibration Models with Dimensional Modeling | Department

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

    of Energy Calibration Models with Dimensional Modeling Next Generation Calibration Models with Dimensional Modeling Incorporates dimensional modeling with engine empirical framework for engine calibration PDF icon p-01_brahma.pdf More Documents & Publications Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control Model-Based Transient Calibration Optimization for Next Generation Diesel Engines An Accelerated Aging Method for Diesel Exhaust Aftertreatment

  3. 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

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

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

    Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Clay and granitic units are potential host media for future repositories for used nuclear fuel. The ...

  5. Turning Bayesian model averaging into Bayesian model combination...

    Office of Scientific and Technical Information (OSTI)

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

  6. 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.

  7. 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

  8. 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.

  9. 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

  10. 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...

  11. 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.

  12. 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...

  13. 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...

  14. Sandia Energy - Wind Generator Modeling

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

    Wind Generator Modeling Home Infrastructure Security Renewable Energy Energy Surety Energy Grid Integration News Wind Energy News & Events SMART Grid Systems Analysis Modeling...

  15. Extreme Conditions Modeling Workshop Report

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

    ... Met-ocean modeling: This group discussed current practices and new developments in estimating extreme sea states (ESS) through met-ocean measurements and modeling. Each breakout ...

  16. Air Transport Optimization Model | NISAC

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

    NISACAir Transport Optimization Model content top Network Optimization Models (RNAS and ATOM) Posted by Admin on Mar 1, 2012 in | Comments 0 comments Many critical infrastructures...

  17. 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...

  18. 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.

  19. 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.

  20. 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.

  1. Biomass Scenario Model

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

    Biomass Scenario Model 24 March 2015 BETO Analysis Platform Peer Review Brian Bush National Renewable Energy Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information 3 Government Policies Analysis Implications Inclusion decisions/scope Marketplace Structure Producer/Consumer exchanges Investment Financial decisions Input Scenarios Feedstock demand Oil prices Learning curves Evolution of Supply Chain for Biofuels Goals and Objectives *

  2. 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

  3. 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.

  4. 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 state analyses with a two-equation turbulence model were performed with the FLUENT{trademark} codes. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet. The modeling results show that when the two-stage agitator consisting of a 45{sup o} pitched propeller and radial flat-plate blades is run at 140 rpm speed with 28 in diameter, the agitator provides an adequate stirring of the feed materials for a wide range of yield stresses (1 to 21 Pa) and the vortex system is shed into the remote region of the tank boundary by the blade passage in an efficient way. The results of this modeling study were used to develop the design guidelines for the agitator stirring and dispersion of the Saltstone feed materials in a hopper tank.

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

    Office of Environmental Management (EM)

    | Department of Energy 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 potential host media for future repositories for used nuclear fuel. The report addresses the representation and characterization of flow in these two media within numerical process models. In low permeability crystalline rock, flow is primarily in relatively sparse networks of fractures.

  6. 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 drift to transport any exposed radionuclides out of the drift to the groundwater below, and eventually to people within the accessible environment. Absent sufficient water, radionuclides cannot be transported and there would be no significant health effect on people, even if radioactive waste containers were damaged or corroded to such an extent that radionuclides were exposed to water.

  7. Jobs and Economic Development Modeling

    Office of Energy Efficiency and Renewable Energy (EERE)

    Project objective: Develop models to estimate jobs and economic impacts from geothermal project development and operation.

  8. LEDCOM Model | Department of Energy

    Energy Savers [EERE]

    LEDCOM Model LEDCOM Model Zip file containing the LEDCOM model as an excel worksheet, the backend database, and an operating information document. Extract all files to the same local directory on your computer. Package icon LEDCOM Model More Documents & Publications UPF R&OM Management DHW Event Schedule Generator Building America DHW Event Schedule Generator

  9. 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 elevation of transfer pump for minimum sludge disturbance. (2) An empirical equation for a tank with no cooling coils agrees reasonably with the current modeling results for the dual jet. (3) From the sensitivity study of the cooling coils, it was found that the tank mixing time for the coiled tank was about two times longer than that of the tank fluid with no coils under the 1/10th scale, while the coiled tank required only 50% longer than the one without coils under the full scale Tank 50H. In addition, the time difference is reduced when the pumping U{sub o}d{sub o} value is increased for a given tank. (4) The blending time for T-shape dual jet pump is about 20% longer than that of 15{sup o} upward V-shape pump under the 1/10th pilot-scale tank, while the time difference between the two pumps is about 12% for the full-scale Tank 50H. These results are consistent with the literature information. (5) A transfer pump with a solid-plate suction screen operating at 130 gpm can be located 9.5 inches above settled sludge for 2 in screen height in a 85 ft waste tank without disturbing any sludge. Detailed results are summarized in Table 13. Final pump performance calculations were made by using the established CW pump design, and operating conditions to satisfy the two requirements of minimum sludge disturbance, and adequate blending of tank contents. The final calculation results show that the blending times for the coiled and uncoiled tanks coupled with the CW pump design are 159 and 83 minutes, respectively. All the results are provided in Table 16.

  10. 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

  11. 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.

  12. 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

  13. Theory & Modeling

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

    Theory & 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 Fuel Cycle Defense Waste Management Programs Advanced

  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 variety of market scenarios. Explore solutions by quantifying impact of various incentives on these cash flows and quantify cost of incentives. Key Attributes & Strengths Market segmented into "core," "emerging," and "network support stations." Vehicle fueling, sales patterns and

  15. 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 Fuel Cycle Defense Waste Management Programs Advanced

  16. Modeling & Analysis

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

    nrt_blade_tip Permalink Gallery National Rotor Testbed aerodynamic design complete Modeling & Analysis, News, Renewable Energy, SWIFT, Wind Energy, Wind News National Rotor Testbed aerodynamic design complete The aerodynamic design of the National Rotor Testbed (NRT) blade has been completed (see example, above). The goal of the NRT rotor is to replicate the wake characteristics of a utility-scale rotor at the Scaled Wind Farm Technology (SWiFT) test site. This will allow researchers at

  17. Modeling & Analysis

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

    NearyFig1 Permalink Gallery University of Illinois uses Sandia Labs' reference hydrokinetic turbine to study potential bed erosion effects Energy, Modeling & Analysis, News, Partnership, Renewable Energy, Water Power University of Illinois uses Sandia Labs' reference hydrokinetic turbine to study potential bed erosion effects Sandia Labs Water Power Technologies Department promotes open-source marine hydrokinetic research by disseminating information on MHK technology designs initially

  18. 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

  19. 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 Fuel Cycle Defense Waste Management Programs

  20. improve combustion models

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

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

  1. 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.

  2. 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 Fuel Cycle Defense Waste Management Programs Advanced

  3. 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

  4. 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 capabilities for analyzing the consequences of disruptions to the chemical manufacturing industry. Each capability provides a different but complementary perspective on the questions of interest-questions like Given an event, will the entire chemical sector be impacted or just parts? Which chemicals, plants, and

  5. 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 Fuel Cycle Defense Waste Management Programs Advanced

  6. Models & Tools

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

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

  7. 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,

  8. Biomass Feedstock Supply Modeling

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

    6, 2015 Feedstock Supply and Logistics PI: Erin Webb Shahab Sokhansanj Michael Hilliard Craig Brandt Anthony Turhollow Oak Ridge National Laboratory 1.2.3.1 Biomass Feedstock Supply Modeling 2 | Bioenergy Technologies Office Perform experiments to test equipment designs and supply chain configurations Characterize impacts of variability and uncertainty Identify risk-reduction strategies Optimize feedstock supply logistics Goal Statement Build and apply simulations of biomass supply chains

  9. Real-World Models

    Energy Savers [EERE]

    Real-World Models DOE and its national labs currently engage in a number of consortia with industry aimed at different targets for different technologies. To illustrate how different consortia organize to achieve these targets, Table 1 outlines the essential components and characteristics of several successful DOE consortia. Table 1. Summary of Consortia Advanced Engine Combustion Consortium (AEC) Lead Organization Membership Combustion Research Facility (CRF) at Sandia National Laboratories

  10. 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

  11. Project Evaluation Models

    Energy Savers [EERE]

    Project Evaluation Models Ian Baring-Gould Alaska Native Village Energy Development Workshop April 30, 2014 2 Why do we need options analysis? 3 There are many different energy resources Which ones are available in Alaska? 4 photovoltaics fuel cells wind turbines batteries diesels microturbines small hydro small modular biomass grid connection ...and many energy conversion technologies 5 ...which have different operating requirements, advantages, disadvantages, costs, etc. Diesel generators Wind

  12. Dispersion Modeling Project

    Office of Environmental Management (EM)

    Dispersion Modeling Project Nuclear & Criticality Safety Engineering Andrew Vincent Germantown, MD DOE Workshop Savannah River Nuclear Solutions, LLC June, 2012 SRNS- F3200-2012-00027 2 the Issue * Direction was coming regarding deposition velocity (DV) * Discovery - questioning meteorological data assumptions as specific calculation of DV being pursued (normalization, EPA vs. RG 1.23) * Plan Development and Concurrence * Plan Execution * Potential Impacts Executing the Plan * HSS Bulletin

  13. 151030_IM1 Org Chart_(v07)_energy.gov

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

    Chief of Staff Matt Nolan Supervisory Strategic Advisor Kathy Crouch Chief Technology Officer/ Enterprise Architect VACANT Senior Advisor, Cyber Jen Silk Senior Advisor, IT Modernization Robbie Green Senior Advisor, Strategic Engagement & Communications VACANT Office of the Chief Information Officer Chief Information Security Officer Paul Cunningham (Acting) IT Program Manager Paul Cunningham Senior Advisor, Cyber Strategy Implementation VACANT IT Program Manager, Enterprise Operations John

  14. 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 105 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.

  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. 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

  17. 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

  18. 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.

  19. Better Buildings Neighborhood Program Business Models Guide:...

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

    HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models ...

  20. Hydrogen Delivery Analysis Models | Department of Energy

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

    Models Hydrogen Delivery Analysis Models DOE H2A Delivery Models: Components Model ...interstate markets and demand levels, market penetration) PDF icon ...

  1. 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...

  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. 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.

  5. 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.

  6. Model WC-18000

    Office of Legacy Management (LM)

    Model WC-18000 by NuPac . VOLUME REDUCTION means ravings in transportation and burial. l AIR FILTRATION SYSTEM l 18000 lb. COMPACTION 0 ELECTRO-MECHANICAL OPERATION l OVER 20 UNITS IN OPERATION NUCLEAR PACKAGING INC. 815 South 28th St. Tacoma, Washington 98409 (2061572.7775 or 838-1243 See w at Booth 58 HP Society Annusl Meetllng isotope ; & radiation COMPLIANCE Radiography firm loses license Oflicial ilc,i<m 10uwtl American X- Ray and Inspcclion Inc.. of Farmington Hills. htich.. wnlinwd

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  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: 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.

  17. 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.

  18. 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.

  19. 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.

  20. Integration of EBS Models with Generic Disposal System Models

    Broader source: Energy.gov [DOE]

    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.

  1. 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 WebPart (CW-12-04) created at INL to work inside SharePoint. The GUI tool links slider bars and drop downs to specific inputs and output of the ModelCenter model that is executable from SharePoint. The modeler also creates in SAS, dashboards, graphs and tables that are exposed by links and SAS and ModelCenter Web Parts into the SharePoint system. The user can then log into SharePoint, move slider bars and select drop down lists to configure the model parameters, click to run the model, and then view the output results that are based on their particular input choices. The main point is that GEMS eliminates the need for a programmer to connect and create the web artifacts necessary to implement and deliver an executable model or decision aid to customers.« less

  2. 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

  3. 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

  4. 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.

  5. National Transportation Fuels Model | NISAC

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

    NISACCapabilitiesNational Transportation Fuels Model content top National Transportation 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 represented by the network model (see figure) spans from oil fields to fuel distribution terminals. Different components of this system (e.g., crude oil import terminals, refineries, transmission pipelines, and tank farms) can be disrupted,

  6. 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

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. MULTISCALE THERMOHYDROLOGIC MODEL

    SciTech Connect (OSTI)

    T. Buscheck

    2005-07-07

    The intended 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. The goal of the MSTHM is to predict a reasonable range of possible thermal-hydrologic conditions within the emplacement drift. To be reasonable, this range includes the influence of waste-package-to-waste-package heat output variability relevant to the license application design, as well as the influence of uncertainty and variability in the geologic and hydrologic conditions relevant to predicting the thermal-hydrologic response in emplacement drifts. This goal is quite different from the goal of a model to predict a single expected thermal-hydrologic response. As a result, the development and validation of the MSTHM and the associated analyses using this model are focused on the goal of predicting a reasonable range of thermal-hydrologic conditions resulting from parametric uncertainty and waste-package-to-waste-package heat-output variability. Thermal-hydrologic conditions within emplacement drifts depend primarily on thermal-hydrologic conditions in the host rock at the drift wall and on the temperature difference between the drift wall and the drip-shield and waste-package surfaces. Thus, the ability to predict a reasonable range of relevant in-drift MSTHM output parameters (e.g., temperature and relative humidity) is based on valid predictions of thermal-hydrologic processes in the host rock, as well as valid predictions of heat-transfer processes between the drift wall and the drip-shield and waste-package surfaces. Because the invert contains crushed gravel derived from the host rock, the invert is, in effect, an extension of the host rock, with thermal and hydrologic properties that have been modified by virtue of the crushing (and the resulting geometry of the gravel grains). Thus, given that reasonable invert properties are applied, the ability to predict a reasonable range of relevant MSTHM output parameters for the invert are based on valid predictions of thermal-hydrologic processes in the host rock. 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. The thermal-hydrologic parameters used to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' are identified in Table 1-1. 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.

  13. Model documentation report: Transportation sector model of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  14. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  15. Application of Improved Radiation Modeling to General Circulation Models

    SciTech Connect (OSTI)

    Michael J Iacono

    2011-04-07

    This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.

  16. Modeling the Nuclear Fuel Cycle

    SciTech Connect (OSTI)

    Jacob J. Jacobson; A. M. Yacout; G. E. Matthern; S. J. Piet; A. Moisseytsev

    2005-07-01

    The Advanced Fuel Cycle Initiative is developing a system dynamics model as part of their broad systems analysis of future nuclear energy in the United States. The model will be used to analyze and compare various proposed technology deployment scenarios. The model will also give a better understanding of the linkages between the various components of the nuclear fuel cycle that includes uranium resources, reactor number and mix, nuclear fuel type and waste management. Each of these components is tightly connected to the nuclear fuel cycle but usually analyzed in isolation of the other parts. This model will attempt to bridge these components into a single model for analysis. This work is part of a multi-national laboratory effort between Argonne National Laboratory, Idaho National Laboratory and United States Department of Energy. This paper summarizes the basics of the system dynamics model and looks at some results from the model.

  17. Radiolysis Model Formulation for Integration with the Mixed Potential Model

    SciTech Connect (OSTI)

    Buck, Edgar C.; Wittman, Richard S.

    2014-07-10

    The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), Office of Fuel Cycle Technology has established the Used Fuel Disposition Campaign (UFDC) to conduct the research and development activities related to storage, transportation, and disposal of used nuclear fuel (UNF) and high-level radioactive waste. Within the UFDC, the components for a general system model of the degradation and subsequent transport of UNF is being developed to analyze the performance of disposal options [Sassani et al., 2012]. Two model components of the near-field part of the problem are the ANL Mixed Potential Model and the PNNL Radiolysis Model. This report is in response to the desire to integrate the two models as outlined in [Buck, E.C, J.L. Jerden, W.L. Ebert, R.S. Wittman, (2013) Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation, FCRD-UFD-2013-000290, M3FT-PN0806058

  18. CERTS customer adoption model

    SciTech Connect (OSTI)

    Rubio, F. Javier; Siddiqui, Afzal S.; Marnay, Chris; Hamachi,Kristina S.

    2000-03-01

    This effort represents a contribution to the wider distributed energy resources (DER) research of the Consortium for Electric Reliability Technology Solutions (CERTS, http://certs.lbl.gov) that is intended to attack and, hopefully, resolve the technical barriers to DER adoption, particularly those that are unlikely to be of high priority to individual equipment vendors. The longer term goal of the Berkeley Lab effort is to guide the wider technical research towards the key technical problems by forecasting some likely patterns of DER adoption. In sharp contrast to traditional electricity utility planning, this work takes a customer-centric approach and focuses on DER adoption decision making at, what we currently think of as, the customer level. This study reports on Berkeley Lab's second year effort (completed in Federal fiscal year 2000, FY00) of a project aimed to anticipate patterns of customer adoption of distributed energy resources (DER). Marnay, et al., 2000 describes the earlier FY99 Berkeley Lab work. The results presented herein are not intended to represent definitive economic analyses of possible DER projects by any means. The paucity of data available and the importance of excluded factors, such as environmental implications, are simply too important to make such an analysis possible at this time. Rather, the work presented represents a demonstration of the current model and an indicator of the potential to conduct more relevant studies in the future.

  19. Structural model of uramarsite

    SciTech Connect (OSTI)

    Rastsvetaeva, R. K.; Sidorenko, G. A.; Ivanova, A. G.; Chukanov, N. V.

    2008-09-15

    The structural model of uramarsite, a new mineral of the uran-mica family from the Bota-Burum deposit (South Kazakhstan), is determined using a single-crystal X-ray diffraction analysis. The parameters of the triclinic unit cell are as follows: a = 7.173(2) A, b = 7.167(5) A, c = 9.30(1) A, {alpha} = 90.13(7){sup o}, {beta} = 90.09(4){sup o}, {gamma} = 89.96(4){sup o}, and space group P1. The crystal chemical formula of uramarsite is: (UO{sub 2}){sub 2}[AsO{sub 4}][PO{sub 4},AsO{sub 4}][NH{sub 4}][H{sub 3}O] . 6H{sub 2}O (Z = 1). Uramarsite is the second ammonium-containing mineral of uranium and an arsenate analogue of uramphite. In the case of uramarsite, the lowering of the symmetry from tetragonal to triclinic, which is accompanied by a triclinic distortion of the tetragonal unit cell, is apparently caused by the ordering of the As and P atoms and the NH{sub 4}, H{sub 3}O, and H{sub 2}O groups.

  20. Production Planning Model

    Energy Science and Technology Software Center (OSTI)

    1998-04-20

    PRODMOD is an integrated computational tool for performing dynamic simulation and optimization for the entire high level waste complex at the Savannah River Site (SRS) It is being used at SRS for planning purposes so that all waste can be processed efficiently. The computational tool 1) optimizes waste blending sequences, 2) minimizes waste volume production, 3) reduces waste processing time, 4) provides better process control and understanding, and 5) assists strategic planning, scheduling, and costmore » estimation. PRODMOD has been developed using Aspen Technology''s software development package SPEEDUP. PRODMOD models all the key HLW processing operations at SRS: storage and evaporation: saltcake production and dissolution: filtration (dewatering): precipitation: sludge and precipitate washing: glass, grout, and organics production. Innovative approaches have been used in making PRODMOD a very fast computational tool. These innovative approaches are 1) constructing a dynamic problem as a steady state problem 2) mapping between event-space (batch processes) and time-space (dynamic processes) without sacrificing the details in the batch process. The dynamic nature of the problem is constructed in linear form where time dependence is implicit. The linear constructs and mapping algorithms have made it possible to devise a general purpose optimization scheme which couples the optimization driver with the PRODMOD simulator. The optimization scheme is capable of generating single or multiple optimal input conditions for different types of objective functions over single or multiple years of operations depending on the nature of the objective function and operating constraints.« less

  1. Modeling patterns in count data using loglinear and related models

    SciTech Connect (OSTI)

    Atwood, C.L.

    1995-12-01

    This report explains the use of loglinear and logit models, for analyzing Poisson and binomial counts in the presence of explanatory variables. The explanatory variables may be unordered categorical variables or numerical variables, or both. The report shows how to construct models to fit data, and how to test whether a model is too simple or too complex. The appropriateness of the methods with small data sets is discussed. Several example analyses, using the SAS computer package, illustrate the methods.

  2. MODEL SELECTION FOR SPECTROPOLARIMETRIC INVERSIONS

    SciTech Connect (OSTI)

    Asensio Ramos, A.; Manso Sainz, R.; Martinez Gonzalez, M. J.; Socas-Navarro, H.; Viticchie, B.

    2012-04-01

    Inferring magnetic and thermodynamic information from spectropolarimetric observations relies on the assumption of a parameterized model atmosphere whose parameters are tuned by comparison with observations. Often, the choice of the underlying atmospheric model is based on subjective reasons. In other cases, complex models are chosen based on objective reasons (for instance, the necessity to explain asymmetries in the Stokes profiles) but it is not clear what degree of complexity is needed. The lack of an objective way of comparing models has, sometimes, led to opposing views of the solar magnetism because the inferred physical scenarios are essentially different. We present the first quantitative model comparison based on the computation of the Bayesian evidence ratios for spectropolarimetric observations. Our results show that there is not a single model appropriate for all profiles simultaneously. Data with moderate signal-to-noise ratios (S/Ns) favor models without gradients along the line of sight. If the observations show clear circular and linear polarization signals above the noise level, models with gradients along the line are preferred. As a general rule, observations with large S/Ns favor more complex models. We demonstrate that the evidence ratios correlate well with simple proxies. Therefore, we propose to calculate these proxies when carrying out standard least-squares inversions to allow for model comparison in the future.

  3. Pyomo : Python Optimization Modeling Objects.

    SciTech Connect (OSTI)

    Siirola, John; Laird, Carl Damon; Hart, William Eugene; Watson, Jean-Paul

    2010-11-01

    The Python Optimization Modeling Objects (Pyomo) package [1] is an open source tool for modeling optimization applications within Python. Pyomo provides an objected-oriented approach to optimization modeling, and it can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. While Pyomo provides a capability that is commonly associated with algebraic modeling languages such as AMPL, AIMMS, and GAMS, Pyomo's modeling objects are embedded within a full-featured high-level programming language with a rich set of supporting libraries. Pyomo leverages the capabilities of the Coopr software library [2], which integrates Python packages (including Pyomo) for defining optimizers, modeling optimization applications, and managing computational experiments. A central design principle within Pyomo is extensibility. Pyomo is built upon a flexible component architecture [3] that allows users and developers to readily extend the core Pyomo functionality. Through these interface points, extensions and applications can have direct access to an optimization model's expression objects. This facilitates the rapid development and implementation of new modeling constructs and as well as high-level solution strategies (e.g. using decomposition- and reformulation-based techniques). In this presentation, we will give an overview of the Pyomo modeling environment and model syntax, and present several extensions to the core Pyomo environment, including support for Generalized Disjunctive Programming (Coopr GDP), Stochastic Programming (PySP), a generic Progressive Hedging solver [4], and a tailored implementation of Bender's Decomposition.

  4. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

  5. Turning Bayesian model averaging into Bayesian model combination

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Turning Bayesian model averaging into Bayesian model combination Citation Details In-Document Search Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James [1] ; Monteith, Kristine [2] ; Seppi, Kevin [2] ; Martinez, Tony [2] + Show Author Affiliations Los Alamos National Laboratory BYU Publication Date: 2011-07-28 OSTI Identifier: 1084524 Report Number(s): LA-UR-11-04419; LA-UR-11-4419 DOE Contract Number: AC52-06NA25396

  6. The Transportation Sector Model of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration NEMS Transportation Demand Model Documentation Report 2005 25 manufacturing, and design advances. Manufacturing advances can generally be thought of as...

  7. THMC Modeling of a Single Fracture: Model Formulation. (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect THMC Modeling of a Single Fracture: Model Formulation. Citation Details In-Document Search Title: THMC Modeling of a Single Fracture: Model Formulation. Abstract not provided. Authors: Wang, Yifeng Publication Date: 2014-10-01 OSTI Identifier: 1242115 Report Number(s): SAND2014-19347C 540914 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Proposed for presentation at the DECOVALEX D-2015 held November 10-14, 2014 in London, UK

  8. Turning Bayesian model averaging into Bayesian model combination

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Turning Bayesian model averaging into Bayesian model combination Citation Details In-Document Search Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James [1] ; Monteith, Kristine [2] ; Seppi, Kevin [2] ; Martinez, Tony [2] + Show Author Affiliations Los Alamos National Laboratory BYU Publication Date: 2011-07-28 OSTI Identifier: 1084524 Report Number(s): LA-UR-11-04419; LA-UR-11-4419 DOE Contract Number: AC52-06NA25396

  9. Regional Economic Models, Inc. (REMI) Model | Open Energy Information

    Open Energy Info (EERE)

    TOOL Name: REMI AgencyCompany Organization: Regional Economic Models Inc. Sector: Energy Focus Area: Transportation Resource Type: Softwaremodeling tools User Interface:...

  10. UZ Flow Models and Submodels

    SciTech Connect (OSTI)

    Y. Wu

    2004-11-01

    The purpose of this report is to document the unsaturated zone (UZ) flow models and submodels, as well as the flow fields that have been generated using the UZ flow model(s) of Yucca Mountain, Nevada. In this report, the term ''UZ model'' refers to the UZ flow model and the several submodels, which include tracer transport, temperature or ambient geothermal, pneumatic or gas flow, and geochemistry (chloride, calcite, and strontium) submodels. The term UZ flow model refers to the three-dimensional models used for calibration and simulation of UZ flow fields. This work was planned in the ''Technical Work Plan (TWP) for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Section 1.2.7). The table of included Features, Events, and Processes (FEPs), Table 6.2-11, is different from the list of included FEPs assigned to this report in the ''Technical Work Plan for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Table 2.1.5-1), as discussed in Section 6.2.6. The UZ model has revised, updated, and enhanced the previous UZ model (BSC 2001 [DIRS 158726]) by incorporating the repository design with new grids, recalibration of property sets, and more comprehensive validation effort. The flow fields describe fracture-fracture, matrix-matrix, and fracture-matrix liquid flow rates, and their spatial distributions as well as moisture conditions in the UZ system. These three-dimensional UZ flow fields are used directly by Total System Performance Assessment (TSPA). The model and submodels evaluate important hydrogeologic processes in the UZ as well as geochemistry and geothermal conditions. These provide the necessary framework to test hypotheses of flow and transport at different scales, and predict flow and transport behavior under a variety of climatic conditions. In addition, the limitations of the UZ model are discussed in Section 8.11.

  11. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  12. Adversary Sequence Interruption Model

    Energy Science and Technology Software Center (OSTI)

    1985-11-15

    PC EASI is an IBM personal computer or PC-compatible version of an analytical technique for measuring the effectiveness of physical protection systems. PC EASI utilizes a methodology called Estimate of Adversary Sequence Interruption (EASI) which evaluates the probability of interruption (PI) for a given sequence of adversary tasks. Probability of interruption is defined as the probability that the response force will arrive before the adversary force has completed its task. The EASI methodology is amore » probabilistic approach that analytically evaluates basic functions of the physical security system (detection, assessment, communications, and delay) with respect to response time along a single adversary path. It is important that the most critical scenarios for each target be identified to ensure that vulnerabilities have not been overlooked. If the facility is not overly complex, this can be accomplished by examining all paths. If the facility is complex, a global model such as Safeguards Automated Facility Evaluation (SAFE) may be used to identify the most vulnerable paths. PC EASI is menu-driven with screen forms for entering and editing the basic scenarios. In addition to evaluating PI for the basic scenario, the sensitivities of many of the parameters chosen in the scenario can be analyzed. These sensitivities provide information to aid the analyst in determining the tradeoffs for reducing the probability of interruption. PC EASI runs under the Micro Data Base Systems'' proprietary database management system Knowledgeman. KMAN provides the user environment and file management for the specified basic scenarios, and KGRAPH the graphical output of the sensitivity calculations. This software is not included. Due to errors in release 2 of KMAN, PC EASI will not execute properly; release 1.07 of KMAN is required.« less

  13. Arctic Economics Model

    Energy Science and Technology Software Center (OSTI)

    1995-03-01

    AEM (Arctic Economics Model) for oil and gas was developed to provide an analytic framework for understanding the arctic area resources. It provides the capacity for integrating the resource and technology information gathered by the arctic research and development (R&D) program, measuring the benefits of alternaive R&D programs, and providing updated estimates of the future oil and gas potential from arctic areas. AEM enables the user to examine field or basin-level oil and gas recovery,more » costs, and economics. It provides a standard set of selected basin-specified input values or allows the user to input their own values. AEM consists of five integrated submodels: geologic/resource submodel, which distributes the arctic resource into 15 master regions, consisting of nine arctic offshore regions, three arctic onshore regions, and three souhtern Alaska (non-arctic) regions; technology submodel, which selects the most appropriate exploration and production structure (platform) for each arctic basin and water depth; oil and gas production submodel, which contains the relationship of per well recovery as a function of field size, production decline curves, and production decline curves by product; engineering costing and field development submodel, which develops the capital and operating costs associated with arctic oil and gas development; and the economics submodel, which captures the engineering costs and development timing and links these to oil and gas prices, corporate taxes and tax credits, depreciation, and timing of investment. AEM provides measures of producible oil and gas, costs, and ecomonic viability under alternative technology or financial conditions.« less

  14. Multi Layer Contaminant Migration Model

    Energy Science and Technology Software Center (OSTI)

    1999-07-28

    This computer software augments and enhances certain calculation included in the previously copyrighted Vadose Zone Contaminant Migration Model. The computational method used in this model recognizes the heterogenous nature of the soils and attempts to account for the variability by using four separate layers to simulate the flow of water through the vadose zone. Therefore, the pore-water velocity calculated by the code will be different than the previous model because it accounts for a widermore » variety of soil properties encountered in the vadose zone. This model also performs an additional screening step than in the previous model. In this model the higher value of two different types of Soil Screening Levels are compared to soil concentrations of contaminants. If the contaminant concentration exceeds the highest of two SSLs, then that contaminant is listed. This is consistent with USEPA's Soil Screening Guidance.« less

  15. Assessment of Molecular Modeling & Simulation

    SciTech Connect (OSTI)

    2002-01-03

    This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.

  16. Regional Wave Field Modeling and Array Effects

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

    1C Marine and Hydrokinetic Instrumentation, Measurement & Computer Modeling Workshop - Broomfield, CO July 9 th , 2012 Regional Wave Field Modeling and Array Effects Outline  Overview of SNL's Large-Scale Wave and WEC Array Modeling Activities * WEC Farm Modeling on Roadmap * SNL Current Modeling Capabilities * SNL WEC Farm Model Tool Development WEC Farm Modeling  WEC Farms * Currently focused on improving large scale wave models for environmental assessments WEC Farm Modeling: WEC

  17. USING CABLE SUSPENDED SUBMERSIBLE PUMPS TO REDUCE PRODUCTION COSTS TO INCREASE ULTIMATE RECOVERY IN THE RED MOUNTAIN FIELD IN SAM JUAN BASIN REGION

    SciTech Connect (OSTI)

    Don L. Hanosh

    2004-08-01

    A joint venture between Enerdyne LLC, a small independent oil and gas producer, and Pumping Solutions Inc., developer of a low volume electric submersible pump, suspended from a cable, both based in Albuquerque, New Mexico, has re-established marginal oil production from the Red Mountain Oil Field, located in the San Juan Basin, New Mexico by working over 17 existing wells and installing submersible pumps.

  18. 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.

    1997-10-01

    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 (SAME). A SAME for the automated determination of Polychlorinated Biphenyls (PCB) in soils, assembled in a mobile laboratory, is undergoing extensive testing and validation. The SAME consists of the following SLMs: a four channel Soxhlet extractor, a High Volume Concentrator, column clean up, a gas chromatograph, a PCB data interpretation module, a robot, and a human- computer interface. The SAME is configured to meet the requirements specified in U.S. Environmental Protection Agency`s (EPA) SW-846 Methods 3541/3620A/8082 for the analysis of pcbs in soils. The PCB SAME will be described along with the developmental test plan. Performance data obtained during developmental testing will also be discussed.

  19. Making, Measuring, and Modeling Materials

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

    Making, Measuring, and Modeling Materials Making, Measuring, and Modeling Materials M4 facility aims to accelerate the transition from observation to control of materials providing unique synthesis and characterization tools to advance the frontiers of materials design and discovery. CONTACT Cris W. Barnes (505) 665-5687 Email Predicting and Controlling Materials' Performance MaRIE's Making, Measuring, and Modeling Materials (M4) Facility aims to accelerate the transition from observation to

  20. Building Energy Modeling (BEM) Overview

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

    of assets & operations * Predictive if all major inputs are ... fault diagnosis, dynamic control & demand response * ... & easier to get Logic Model-BTO Role in BEM Ecosystem ...

  1. Operation Periods: Single Column Model

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

    climate model. Researchers first use the SCM to efficiently improve submodels of clouds, solar radiation transfer, and atmosphere-surface interactions, then implement the results...

  2. ORISE: Dose modeling and assessments

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

    The Oak Ridge Institute for Science and Education (ORISE) offers dose modeling and assessment services to demonstrate that federal andor state regulatory compliance requirements...

  3. Kinetic Modeling of Microbiological Processes

    SciTech Connect (OSTI)

    Liu, Chongxuan; Fang, Yilin

    2012-09-17

    Kinetic description of microbiological processes is vital for the design and control of microbe-based biotechnologies such as waste water treatment, petroleum oil recovery, and contaminant attenuation and remediation. Various models have been proposed to describe microbiological processes. This editorial article discusses the advantages and limiation of these modeling approaches in cluding tranditional, Monod-type models and derivatives, and recently developed constraint-based approaches. The article also offers the future direction of modeling researches that best suit for petroleum and environmental biotechnologies.

  4. Power Plant Modeling and Simulation

    ScienceCinema (OSTI)

    None

    2010-01-08

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  5. Conceptual Model | Open Energy Information

    Open Energy Info (EERE)

    and samples from wells, temperature and pressure data, and any other relevant data collected.1 Best Practices To develop an effective geothermal conceptual model, it...

  6. Power Plant Modeling and Simulation

    SciTech Connect (OSTI)

    2008-07-21

    The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.

  7. 2012Modeling_Factsheet.indd

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

    simulation code (VERA) to model the formation of deposits on reactor fuel cladding and mechanical fretting within fuel assemblies to assess the potential for power uprates and...

  8. CUPOLA FURNACE COMPUTER PROCESS MODEL

    Office of Scientific and Technical Information (OSTI)

    ... p 809 (1995) 25. Clark D., Moore K., Stanek V., Katz S.: Neural network ... E. D., Clark D. E., Moore K. L.: AFS cupola model verification - initial investigations. ...

  9. 2012Modeling_Factsheet.indd

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

    designated the Virtual Reactor (VR), will incorporate science-based models, state-of-the-art numerical methods, modern computational science and engineering practices, and UQ and...

  10. Analytical Modeling | Open Energy Information

    Open Energy Info (EERE)

    & Analytical Models Website - University of Washington, Department of Economic Business and Geography Page Area Activity Start Date Activity End Date Reference Material...

  11. Nuclear Fallout Models An Overview

    SciTech Connect (OSTI)

    Hodges, Matthew

    2014-10-21

    This presentation is an introduction to a full report, which is a tutorial for individuals using the products of the models reviewed.

  12. The Enterprise Risk Management Model

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

    Enterprise Risk Management Model Using the Risk Assessment Tool to Prepare a Justification Memorandum for the Development and Revision of Departmental Directives * On January 14,...

  13. Model documentation report: Transportation sector model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    Over the past year, several modifications have been made to the NEMS Transportation Model, incorporating greater levels of detail and analysis in modules previously represented in the aggregate or under a profusion of simplifying assumptions. This document is intended to amend those sections of the Model Documentation Report (MDR) which describe these superseded modules. Significant changes have been implemented in the LDV Fuel Economy Model, the Alternative Fuel Vehicle Model, the LDV Fleet Module, and the Highway Freight Model. The relevant sections of the MDR have been extracted from the original document, amended, and are presented in the following pages. A brief summary of the modifications follows: In the Fuel Economy Model, modifications have been made which permit the user to employ more optimistic assumptions about the commercial viability and impact of selected technological improvements. This model also explicitly calculates the fuel economy of an array of alternative fuel vehicles (AFV`s) which are subsequently used in the estimation of vehicle sales. In the Alternative Fuel Vehicle Model, the results of the Fuel Economy Model have been incorporated, and the program flows have been modified to reflect that fact. In the Light Duty Vehicle Fleet Module, the sales of vehicles to fleets of various size are endogenously calculated in order to provide a more detailed estimate of the impacts of EPACT legislation on the sales of AFV`s to fleets. In the Highway Freight Model, the previous aggregate estimation has been replaced by a detailed Freight Truck Stock Model, where travel patterns, efficiencies, and energy intensities are estimated by industrial grouping. Several appendices are provided at the end of this document, containing data tables and supplementary descriptions of the model development process which are not integral to an understanding of the overall model structure.

  14. NREL: Energy Analysis - BSM: Biomass Scenario Model

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

    BSM - Biomass Scenario Model Energy Analysis The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art, dynamic model of the domestic biofuels supply...

  15. Sandia Energy - Tutorial on PV System Modeling

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

    Tutorial on PV System Modeling Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis Tutorial on PV System Modeling Tutorial on PV...

  16. Networks, smart grids: new model for synchronization

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

    May Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that ...

  17. Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...

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

    Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Poster presented at the ...

  18. Better Buildings Neighborhood Program Business Models Guide:...

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

    Non-Utility Program Administrator Business Model Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Better Buildings...

  19. Portfolio Risk Modeling | Open Energy Information

    Open Energy Info (EERE)

    (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling...

  20. LANL computer model boosts engine efficiency

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

    LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand...

  1. NETL - CARBEN Model | Open Energy Information

    Open Energy Info (EERE)

    Website: www.netl.doe.govenergy-analysesrefshelfresults.asp?ptypeModelsToo Cost: Free Language: English References: NETL - CARBEN Model1 Logo: NETL - CARBEN Model CarBen...

  2. 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...

  3. 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 -...

  4. Todd Campbell | Department of Energy

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

    Todd Campbell About Us Todd Campbell - Alternative Energy Advisor, USDA Todd Campbell is an Alternative Energy Advisor at USDA. Most Recent New Biogas Opportunities Roadmap is Part ...

  5. Uranium Transport Modeling

    SciTech Connect (OSTI)

    Bostick, William D.

    2008-01-15

    Uranium contamination is prevalent at many of the U.S. DOE facilities and at several civilian sites that have supported the nuclear fuel cycle. The potential off-site mobility of uranium depends on the partitioning of uranium between aqueous and solid (soil and sediment) phases. Hexavalent U (as uranyl, UO{sub 2}{sup 2+}) is relatively mobile, forming strong complexes with ubiquitous carbonate ion which renders it appreciably soluble even under mild reducing conditions. In the presence of carbonate, partition of uranyl to ferri-hydrate and select other mineral phases is usually maximum in the near-neutral pH range {approx} 5-8. The surface complexation reaction of uranyl with iron-containing minerals has been used as one means to model subsurface migration, used in conjunction with information on the site water chemistry and hydrology. Partitioning of uranium is often studied by short-term batch 'equilibrium' or long-term soil column testing ; MCLinc has performed both of these methodologies, with selection of method depending upon the requirements of the client or regulatory authority. Speciation of uranium in soil may be determined directly by instrumental techniques (e.g., x-ray photoelectron spectroscopy, XPS; x-ray diffraction, XRD; etc.) or by inference drawn from operational estimates. Often, the technique of choice for evaluating low-level radionuclide partitioning in soils and sediments is the sequential extraction approach. This methodology applies operationally-defined chemical treatments to selectively dissolve specific classes of macro-scale soil or sediment components. These methods recognize that total soil metal inventory is of limited use in understanding bioavailability or metal mobility, and that it is useful to estimate the amount of metal present in different solid-phase forms. Despite some drawbacks, the sequential extraction method can provide a valuable tool to distinguish among trace element fractions of different solubility related to mineral phases. Four case studies are presented: Water and Soil Characterization, Subsurface Stabilization of Uranium and other Toxic Metals, Reductive Precipitation (in situ bioremediation) of Uranium, and Physical Transport of Particle-bound Uranium by Erosion.

  6. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  7. ADVANCED MIXING MODELS

    SciTech Connect (OSTI)

    Lee, S.; Dimenna, R.; Tamburello, D.

    2011-02-14

    The process of recovering and processing High Level Waste (HLW) the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four mixers (pumps) located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are typically set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The focus of the present work is to establish mixing criteria applicable to miscible fluids, with an ultimate goal of addressing waste processing in HLW tanks at SRS and quantifying the mixing time required to suspend sludge particles with the submersible jet pump. A single-phase computational fluid dynamics (CFD) approach was taken for the analysis of jet flow patterns with an emphasis on the velocity decay and the turbulent flow evolution for the farfield region from the pump. Literature results for a turbulent jet flow are reviewed, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. The work described in this report suggests a basis for further development of the theory leading to the identified mixing indicators, with benchmark analyses demonstrating their consistency with widely accepted correlations. Although the indicators are somewhat generic in nature, they are applied to Savannah River Site (SRS) waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. One of the main objectives in the waste processing is to provide feed of a uniform slurry composition at a certain weight percentage (e.g. typically {approx}13 wt% at SRS) over an extended period of time. In preparation of the sludge for slurrying, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination?

  8. Alternative Motor Fuel Use Model

    Energy Science and Technology Software Center (OSTI)

    1992-11-16

    AMFU is a tool for the analysis and prediction of motor fuel use by highway vehicles. The model advances the art of vehicle stock modeling by including a representation of the choice of motor fuel for flexible and dual fuel vehicles.

  9. Consumer Vehicle Choice Model Documentation

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2012-08-01

    In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle. Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.

  10. Modern concepts in molecular modeling

    SciTech Connect (OSTI)

    Bajorath, J.; Klein, T.E.

    1996-12-31

    This session focused on the application of computer models and the development and application of various energy functions to study the structure, energetics and dynamics of proteins and their interactions with ligands. These studies provide an exciting view of current developments in computer-aided molecular modeling and theoretical analysis of biological molecules.

  11. Predictive Capability Maturity Model for computational modeling and simulation.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy; Pilch, Martin M.

    2007-10-01

    The Predictive Capability Maturity Model (PCMM) is a new model that can be used to assess the level of maturity of computational modeling and simulation (M&S) efforts. The development of the model is based on both the authors experience and their analysis of similar investigations in the past. The perspective taken in this report is one of judging the usefulness of a predictive capability that relies on the numerical solution to partial differential equations to better inform and improve decision making. The review of past investigations, such as the Software Engineering Institute's Capability Maturity Model Integration and the National Aeronautics and Space Administration and Department of Defense Technology Readiness Levels, indicates that a more restricted, more interpretable method is needed to assess the maturity of an M&S effort. The PCMM addresses six contributing elements to M&S: (1) representation and geometric fidelity, (2) physics and material model fidelity, (3) code verification, (4) solution verification, (5) model validation, and (6) uncertainty quantification and sensitivity analysis. For each of these elements, attributes are identified that characterize four increasing levels of maturity. Importantly, the PCMM is a structured method for assessing the maturity of an M&S effort that is directed toward an engineering application of interest. The PCMM does not assess whether the M&S effort, the accuracy of the predictions, or the performance of the engineering system satisfies or does not satisfy specified application requirements.

  12. Modeling patterns in data using linear and related models

    SciTech Connect (OSTI)

    Engelhardt, M.E.

    1996-06-01

    This report considers the use of linear models for analyzing data related to reliability and safety issues of the type usually associated with nuclear power plants. The report discusses some of the general results of linear regression analysis, such as the model assumptions and properties of the estimators of the parameters. The results are motivated with examples of operational data. Results about the important case of a linear regression model with one covariate are covered in detail. This case includes analysis of time trends. The analysis is applied with two different sets of time trend data. Diagnostic procedures and tests for the adequacy of the model are discussed. Some related methods such as weighted regression and nonlinear models are also considered. A discussion of the general linear model is also included. Appendix A gives some basic SAS programs and outputs for some of the analyses discussed in the body of the report. Appendix B is a review of some of the matrix theoretic results which are useful in the development of linear models.

  13. Climate Models: Rob Jacob | Argonne National Laboratory

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

    science & technology Environmental modeling tools Programs Mathematics, computing, & computer science Modeling, simulation, & visualization Rob Jacob, Computational Climate...

  14. Geothermal Electricity Technology Evaluation Model (GETEM) Development...

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

    Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...

  15. ADVANCED MIXING MODELS

    SciTech Connect (OSTI)

    Lee, S; Richard Dimenna, R; David Tamburello, D

    2008-11-13

    The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four dual-nozzle jet mixers located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The work described in this report establishes the basis for further development of the theory leading to the identified mixing indicators, the benchmark analyses demonstrating their consistency with widely accepted correlations, and the application of those indicators to SRS waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. If shorter mixing times can be shown to support Defense Waste Processing Facility (DWPF) or other feed requirements, longer pump lifetimes can be achieved with associated operational cost and schedule savings. The focus of the present work is to establish mixing criteria associated with the waste processing at SRS and to quantify the mixing time required to suspend sludge particles with the submersible jet pump. Literature results for a turbulent jet flow are reviewed briefly, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. One of the main objectives in the waste processing is to provide the DWPF a uniform slurry composition at a certain weight percentage (typically {approx}13 wt%) over an extended period of time. In preparation of the sludge for slurrying to DWPF, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition for DWPF? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination? Grenville and Tilton (1996) investigated the mixing process by giving a pulse of tracer (electrolyte) through the submersible jet nozzle and by monitoring the conductivity at three locations within the cylindrical tank. They proposed that the mixing process was controlled by the turbulent kinetic energy dissipation rate in the region far away from the jet entrance. They took the energy dissipation rates in the regions remote from the nozzle to be proportional to jet velocity and jet diameter at that location. The reduction in the jet velocity was taken to be proportional to the nozzle velocity and distance from the nozzle. Based on their analysis, a correlation was proposed. The proposed correlation was shown to be valid over a wide range of Reynolds numbers (50,000 to 300,000) with a relative standard deviation of {+-} 11.83%. An improved correlat

  16. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.

  17. Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion, Summary of Retailer Insights.

  18. Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion, Summary of Remodeler Insights.

  19. A Population Health Model for Integrated Assessment Models

    SciTech Connect (OSTI)

    Pitcher, Hugh M.; Ebi, Kristie L.; Brenkert, Antoinette L.

    2008-05-01

    This paper presents the initial results of a project to develop a population health model so we can extend the scenarios included in the IPCC's Special Report on Emissions Scenarios to include population health status.

  20. HTGR Cost Model Users' Manual

    SciTech Connect (OSTI)

    A.M. Gandrik

    2012-01-01

    The High Temperature Gas-Cooler Reactor (HTGR) Cost Model was developed at the Idaho National Laboratory for the Next Generation Nuclear Plant Project. The HTGR Cost Model calculates an estimate of the capital costs, annual operating and maintenance costs, and decommissioning costs for a high-temperature gas-cooled reactor. The user can generate these costs for multiple reactor outlet temperatures; with and without power cycles, including either a Brayton or Rankine cycle; for the demonstration plant, first of a kind, or nth of a kind project phases; for a single or four-pack configuration; and for a reactor size of 350 or 600 MWt. This users manual contains the mathematical models and operating instructions for the HTGR Cost Model. Instructions, screenshots, and examples are provided to guide the user through the HTGR Cost Model. This model was design for users who are familiar with the HTGR design and Excel. Modification of the HTGR Cost Model should only be performed by users familiar with Excel and Visual Basic.