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Sample records for modeling system nems

  1. National Energy Modeling System (NEMS)

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

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

  2. How to obtain the National Energy Modeling System (NEMS)

    Reports and Publications (EIA)

    2013-01-01

    The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.

  3. National Energy Modeling System with Hydrogen Model (NEMS-H2)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the BillDepartmentSites KDF SocialAdministratorNSIDCNatModeling System with

  4. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  5. Residential Demand Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

  6. Renewable Fuels Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the Annual Energy Outlook forecasts.

  7. NEMS International Energy Module, model documentation report: World Oil Market, Petroleum Products Supply and Oxygenates Supply components

    SciTech Connect (OSTI)

    Not Available

    1994-04-04

    The Energy Information Administration (EIA) is developing the National Energy Modeling System (NEMS) to enhance its energy forecasting capabilities and to provide the Department of Energy with a comprehensive framework for analyzing alternative energy` futures. NEMS is designed with a multi-level modular structure that represents specific energy supply activities, conversion processes, and demand sectors as a series of self-contained units which are linked by an integrating mechanism. The NEMS International Energy Module (IEM) computes world oil prices and the resulting patterns of international trade in crude oil and refined products. This report is a reference document for energy analysts, model users, and the public that is intended to meet EIA`s legal obligation to provide adequate documentation for all statistical and forecast reports (Public Law 93-275, section 57(b)(1). Its purpose is to describe the structure of the IEM. Actual operation of the model is not discussed here. The report contains four sections summarizing the overall structure of the IEM and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods. Following a general description of the function and rationale of its key components, system and equation level information sufficient to permit independent evaluation of the model`s technical details is presented.

  8. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  9. Assessment and Suggestions to Improve the Commercial Building Module of EIA-NEMS 

    E-Print Network [OSTI]

    O'Neal, D. L.; Reddy, T. A.; Sucher, B.

    1996-01-01

    The National Energy Modeling System (NEMS) is a comprehensive, computer-based, energy-economy modeling system developed and maintained by the Department of Energy's Energy Information Administration (EIA). NEMS forecasts the national production...

  10. NEMS integrating module documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-12-14

    The National Energy Modeling System (NEMS) is a computer modeling system that produces a general equilibrium solution for energy supply and demand in the US energy markets. The model achieves a supply and demand balance in the end-use demand regions, defined as the nine Census Divisions, by solving for the prices of each energy type such that the quantities producers are willing to supply equal the quantities consumers wish to consume. The system reflects market economics, industry structure, and energy policies and regulations that influence market behavior. The NEMS Integrating Module is the central integrating component of a complex modeling system. As such, a thorough understanding of its role in the modeling process can only be achieved by placing it in the proper context with respect to the other modules. To that end, this document provides an overview of the complete NEMS model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

  11. Macroeconomic Activity Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2014 (AEO2014). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

  12. Coal Market Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System's (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 2014 (AEO2014). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM's two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS).

  13. International Energy Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Summarizes the overall structure of the International Energy Model and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods.

  14. Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS 

    E-Print Network [OSTI]

    Roop, J. M.; Dahowski, R. T

    2000-01-01

    Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model...

  15. National Energy Modeling System (NEMS) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures Ltd Jump to: navigation,Naples,Development and

  16. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  17. Modeling of battery energy storage in the National Energy Modeling System

    SciTech Connect (OSTI)

    Swaminathan, S.; Flynn, W.T.; Sen, R.K.

    1997-12-01

    The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.

  18. The National Energy Modeling System: An overview

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

  19. Natural gas transmission and distribution model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

  20. The National Energy Modeling System: An overview 1998

    SciTech Connect (OSTI)

    1998-02-01

    The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.

  1. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  2. Integrated NEMS and optoelectronics for sensor applications.

    SciTech Connect (OSTI)

    Czaplewski, David A.; Serkland, Darwin Keith; Olsson, Roy H., III; Bogart, Gregory R. (Symphony Acoustics, Rio Rancho, NM); Krishnamoorthy, Uma; Warren, Mial E.; Carr, Dustin Wade (Symphony Acoustics, Rio Rancho, NM); Okandan, Murat; Peterson, Kenneth Allen

    2008-01-01

    This work utilized advanced engineering in several fields to find solutions to the challenges presented by the integration of MEMS/NEMS with optoelectronics to realize a compact sensor system, comprised of a microfabricated sensor, VCSEL, and photodiode. By utilizing microfabrication techniques in the realization of the MEMS/NEMS component, the VCSEL and the photodiode, the system would be small in size and require less power than a macro-sized component. The work focused on two technologies, accelerometers and microphones, leveraged from other LDRD programs. The first technology was the nano-g accelerometer using a nanophotonic motion detection system (67023). This accelerometer had measured sensitivity of approximately 10 nano-g. The Integrated NEMS and optoelectronics LDRD supported the nano-g accelerometer LDRD by providing advanced designs for the accelerometers, packaging, and a detection scheme to encapsulate the accelerometer, furthering the testing capabilities beyond bench-top tests. A fully packaged and tested die was never realized, but significant packaging issues were addressed and many resolved. The second technology supported by this work was the ultrasensitive directional microphone arrays for military operations in urban terrain and future combat systems (93518). This application utilized a diffraction-based sensing technique with different optical component placement and a different detection scheme from the nano-g accelerometer. The Integrated NEMS LDRD supported the microphone array LDRD by providing custom designs, VCSELs, and measurement techniques to accelerometers that were fabricated from the same operational principles as the microphones, but contain proof masses for acceleration transduction. These devices were packaged at the end of the work.

  3. 1018 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 13, NO. 6, DECEMBER 2004 Limit Cycle Oscillations in CW Laser-Driven NEMS

    E-Print Network [OSTI]

    Rand, Richard H.

    method (FEM), laser drive, limit cycle oscillation, self-oscillation, thermal stress. I. INTRODUCTION1018 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 13, NO. 6, DECEMBER 2004 Limit Cycle, Richard Rand, Alan Zehnder, Jeevak Parpia, and Harold Craighead, Member, IEEE Abstract--Limit cycle

  4. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    NONE

    1998-01-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model 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 model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  5. Learning and cost reductions for generating technologies in the national energy modeling system (NEMS)

    E-Print Network [OSTI]

    Gumerman, Etan; Marnay, Chris

    2004-01-01

    of International Learning on Technology Cost. In Issues ofbetween initial new technology cost estimates and actualthe revolutionary technologies have cost reductions beyond

  6. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

  7. Model documentation, Coal Market Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1998-01-01

    This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

  8. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    SciTech Connect (OSTI)

    Osborn, Julie G; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Each year, the U.S. Department of Energy's Energy Information Administration (EIA) publishes a forecast of the domestic energy economy in the Annual Energy Outlook (AEO). During the forecast period of the AEO (currently through 2020), renewable energy technologies have typically not achieved significant growth. The contribution of renewable technologies as electric generators becomes more important, however, in scenarios analyzing greenhouse gas emissions reductions or significant technological advancements. We examined the economic assumptions about wind power used for producing forecasts with the National Energy Modeling System (NEMS) to determine their influence on the projected capacity expansion of this technology. This analysis should help illustrate to policymakers what types of issues may affect wind development, and improve the general understanding of the NEMS model itself. Figure 1 illustrates the model structure and factors relevant to wind deployment. We found that NEMS uses various cost multipliers and constraints to represent potential physical and economic limitations to growth in wind capacity, such as resource depletion, costs associated with rapid manufacturing expansion, and grid stability with high levels of capacity from intermittent resources. The model's flexibility allows the user to make alternative assumptions about the magnitude of these factors. While these assumptions have little effect on the Reference Case forecast for the 1999 edition of the AEO, they can make a dramatic difference when wind is more attractive, such as under a carbon permit trading system. With $100/ton carbon permits, the wind capacity projection for 2020 ranges from 15 GW in the unaltered model (AEO99 Reference Case) to 168 GW in the extreme case when all the multipliers and constraints examined in this study are removed. Furthermore, if modifications are made to the model allowing inter-regional transmission of electricity, wind capacity is forecast to reach 214 GW when all limitations are removed. The figures in the upper end of these ranges are not intended to be viewed as reasonable projections, but their magnitude illustrates the importance of the parameters governing the growth of wind capacity and resource availability in forecasts using NEMS. In addition, many uncertainties exist regarding these assumptions that potentially affect the growth of wind power. We suggest several areas in which to focus future research in order to better model the potential development of this resource. Because many of the assumptions related to wind in the model are also used for other renewable technologies, these suggestions could be applied to other renewable resources as well.

  9. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    E-Print Network [OSTI]

    Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Documentation Report: Wind Energy Submodule (WES). DOE/EIA-The Economic Value of Wind Energy at High Power SystemOF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION OF NEMS

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

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. 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. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  11. Model documentation Coal Market Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1996-04-30

    This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

  12. U.S. Regional Demand Forecasts Using NEMS and GIS

    E-Print Network [OSTI]

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-01-01

    Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

  13. Appendix E: Other NEMS-MP results for the base case and scenarios.

    SciTech Connect (OSTI)

    Plotkin, S. E.; Singh, M. K.; Energy Systems

    2009-12-03

    The NEMS-MP model generates numerous results for each run of a scenario. (This model is the integrated National Energy Modeling System [NEMS] version used for the Multi-Path Transportation Futures Study [MP].) This appendix examines additional findings beyond the primary results reported in the Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses (Reference 1). These additional results are provided in order to help further illuminate some of the primary results. Specifically discussed in this appendix are: (1) Energy use results for light vehicles (LVs), including details about the underlying total vehicle miles traveled (VMT), the average vehicle fuel economy, and the volumes of the different fuels used; (2) Resource fuels and their use in the production of ethanol, hydrogen (H{sub 2}), and electricity; (3) Ethanol use in the scenarios (i.e., the ethanol consumption in E85 vs. other blends, the percent of travel by flex fuel vehicles on E85, etc.); (4) Relative availability of E85 and H2 stations; (5) Fuel prices; (6) Vehicle prices; and (7) Consumer savings. These results are discussed as follows: (1) The three scenarios (Mixed, (P)HEV & Ethanol, and H2 Success) when assuming vehicle prices developed through literature review; (2) The three scenarios with vehicle prices that incorporate the achievement of the U.S. Department of Energy (DOE) program vehicle cost goals; (3) The three scenarios with 'literature review' vehicle prices, plus vehicle subsidies; and (4) The three scenarios with 'program goals' vehicle prices, plus vehicle subsidies. The four versions or cases of each scenario are referred to as: Literature Review No Subsidies, Program Goals No Subsidies, Literature Review with Subsidies, and Program Goals with Subsidies. Two additional points must be made here. First, none of the results presented for LVs in this section include Class 2B trucks. Results for this class are included occasionally in Reference 1. They represent a small, though noticeable, segment of the 'LV plus 2B' market (e.g., a little more than 3% of today's energy use in that market). We generally do not include them in this discussion, simply because it requires additional effort to combine the NEMS-MP results for them with the results for the other LVs. (Where there is an exception, we will indicate so.) Second, where reference is made to E85, the ethanol content is actually 74%. The Energy Information Administration (EIA) assumes that, to address cold-starting issues, the percent of ethanol in E85 will vary seasonally. The EIA uses an annual average ethanol content of 74% in its forecasts. That assumption is maintained in the NEMS-MP scenario runs.

  14. Investigation of the effects of soluble boron tracking on coupled CTF / NEM, LWR simulations

    SciTech Connect (OSTI)

    Biery, M.; Avramova, M.; Ivanov, K.

    2013-07-01

    The primary objective of this study is to evaluate the effects of introducing a boron tracking capability to the COBRA-TF / NEM code coupling. The Pennsylvania State University (PSU) versions of COBRA-TF - CTF, and Nodal Expansion Method (NEM) codes are utilized. Previous implementations of the CTF / NEM coupled code had no capability to model soluble boron feedback effects due to boron transport. This study builds upon the validation and qualification efforts of the boron tracking model implementation in CTF by modeling the boron feedback calculated by the CTF boron tracking model in NEM. The core model chosen for this study is the Purdue MOX/UO{sub 2} core model used in the 2007 OECD/NRC code benchmark study. Following the implementation of an explicit online coupling scheme and accompanying k-search routine, the newly coupled CTF / NEM code version with boron tracking is compared to prior results of the non-boron tracking CTF / NEM code version at steady-state hot full power and hot zero power conditions. It was found that the boron tracking model exhibited little influence on the hot zero power result as expected due to a smaller heat flux, which does not significantly change the moderator density and boron concentration as the moderator travels up the axial core length. Meanwhile the boron tracking model had a much greater impact on the hot full power results, predicting the critical inlet boron concentration to be 9.9 ppm below the non-boron tracking result due to greater and more rapid changes in boron concentration corresponding to the reduction in moderator density from being more rapidly heated. (authors)

  15. NEMS Freight Transportation Module Improvement Study

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar AprThousand Cubic Feet) DecadeYear2CubicfromCubicNEMS

  16. NEMS Buildings Sector Working Group Meeting

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan Feb Mar AprCubic Feet)Rowe:NEMS

  17. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1998-01-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

  18. 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).

  19. Investigation of residential central air conditioning load shapes in NEMS

    E-Print Network [OSTI]

    Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

    2002-01-01

    of Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMSof Residential Central Air Conditioning Load Shapes in NEMS

  20. Model documentation report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-02-01

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 1997 (AEO 97). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code. This document serves three purposes. First it is a reference document providing a detailed description of the NEMS MAM used for the AEO 1997 production runs for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  1. Comprehensive Electricity Competition Act: A Comparison of Model Results, The

    Reports and Publications (EIA)

    1999-01-01

    This report describes the Energy Information Administration's use of the National Energy Modeling System (NEMS) to evaluate the effects of the Administration's restructuring proposal using the parameter settings and assumptions from the Policy Office Electricity Modeling System (POEMS) analysis.

  2. Model documentation: Renewable Fuels Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it related to the production of the 1994 Annual Energy Outlook (AEO94) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves two purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.

  3. 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.

  4. Fundamentals and application of materials integration for low-power piezoelectrically actuated ultra-nanocrystalline diamond MEMS/NEMS.

    SciTech Connect (OSTI)

    Auciello, O.; Srinivasan, S.; Hiller, J.; Kabius, B. (Center for Nanoscale Materials); ( MSD)

    2009-01-01

    Most current micro/nanoelectromechanical systems (MEMS/NEMS) are based on silicon. However, silicon exhibits relatively poor mechanical/tribological properties, compromising applications to several projected MEMS/NEMS devices, particularly those that require materials with high Young's modulus for MEMS resonators or low surface adhesion forces for MEMS/NEMS working in conditions with extensive surface contact. Diamond films with superior mechanical/tribological properties provide an excellent alternative platform material. Ultrananocrystalline diamond (UNCD{cflx W}) in film form with 2-5 nm grains exhibits excellent properties for high-performance MEMS/NEMS devices. Concurrently, piezoelectric Pb(Zr{sub x}Ti{sub 1-x})O{sub 3} (PZT) films provide high sensitivity/low electrical noise for sensing/high-force actuation at relatively low voltages. Therefore, integration of PZT and UNCD films provides a high-performance platform for advanced MEMS/NEMS devices. This paper describes the bases of such integration and demonstration of low voltage piezoactuated hybrid PZT/UNCD cantilevers.

  5. Liquid Fuels Market Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Defines the objectives of the Liquid Fuels Market Model (LFMM), describes its basic approach, and provides detail on how it works. This report is intended as a reference document for model analysts, users, and the public.

  6. Ultrananocrystalline and nanocrystalline diamond thin films for NEMS/MEMS applications.

    SciTech Connect (OSTI)

    Sumant, A. V.; Auciello, O.; Carpick, R. W.; Srinivasan, S.; Butler, J. E. (Center for Nanoscale Materials); ( MSD); ( PSC-USR)

    2010-04-01

    There has been a tireless quest by the designers of micro- and nanoelectro mechanical systems (MEMS/NEMS) to find a suitable material alternative to conventional silicon. This is needed to develop robust, reliable, and long-endurance MEMS/NEMS with capabilities for working under demanding conditions, including harsh environments, high stresses, or with contacting and sliding surfaces. Diamond is one of the most promising candidates for this because of its superior physical, chemical, and tribomechanical properties. Ultrananocrystalline diamond (UNCD) and nanocrystalline diamond (NCD) thin films, the two most studied forms of diamond films in the last decade, have distinct growth processes and nanostructures but complementary properties. This article reviews the fundamental and applied science performed to understand key aspects of UNCD and NCD films, including the nucleation and growth, tribomechanical properties, electronic properties, and applied studies on integration with piezoelectric materials and CMOS technology. Several emerging diamond-based MEMS/NEMS applications, including high-frequency resonators, radio frequency MEMS and photonic switches, and the first commercial diamond MEMS product - monolithic diamond atomic force microscopy probes - are discussed.

  7. Transportation Sector Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    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. The NEMS Transportation Model comprises a series of semi-independent models which address different aspects of the transportation sector. The primary purpose of this model is to provide mid-term forecasts of transportation energy demand by fuel type including, but not limited to, motor gasoline, distillate, jet fuel, and alternative fuels (such as CNG) not commonly associated with transportation. The current NEMS forecast horizon extends to the year 2010 and uses 1990 as the base year. Forecasts are generated through the separate consideration of energy consumption within the various modes of transport, including: private and fleet light-duty vehicles; aircraft; marine, rail, and truck freight; and various modes with minor overall impacts, such as mass transit and recreational boating. This approach is useful in assessing the impacts of policy initiatives, legislative mandates which affect individual modes of travel, and technological developments. The model also provides forecasts of selected intermediate values which are generated in order to determine energy consumption. These elements include estimates of passenger travel demand by automobile, air, or mass transit; estimates of the efficiency with which that demand is met; projections of vehicle stocks and the penetration of new technologies; and estimates of the demand for freight transport which are linked to forecasts of industrial output. Following the estimation of energy demand, TRAN produces forecasts of vehicular emissions of the following pollutants by source: oxides of sulfur, oxides of nitrogen, total carbon, carbon dioxide, carbon monoxide, and volatile organic compounds.

  8. Floating-point unit (FPU) designs with nano-electromechanical (NEM) relays

    E-Print Network [OSTI]

    Dutta, Sumit, S.M. Massachusetts Institute of Technology

    2013-01-01

    Nano-electromechanical (NEM) relays are an alternative to CMOS transistors as the fabric of digital circuits. Circuits with NEM relays offer energy-efficiency benefits over CMOS since they have zero leakage power and are ...

  9. Impacts of Modeled Recommendations of the National Commission on Energy Policy

    Reports and Publications (EIA)

    2005-01-01

    This report provides the Energy Information Administration's analysis of those National Commission on Energy Policy (NCEP) energy policy recommendations that could be simulated using the National Energy Modeling System (NEMS).

  10. Overview of NEMS-H2, Version 1.0

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1, CONDUCT OFER-B-00-020 DOEProgramNEMS-H2, Version 1.0

  11. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-02-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  12. Model documentation report: Residential sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

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

  13. Energy Information Administration NEMS Petroleum Market Model Documentation

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun2003 Detailed Tablesof1998 and 20027)

  14. The Practical Applications of Net Energy Metering (NEM) By: Ken Linder and Katie Noland

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Applications of Net Energy Metering (NEM) By: Ken Linder and Katie Noland Recommendations: Currently the Net Energy Metering (NEM) law in accordance to Montana state policy caps the amount of energy reimbursable by utility companies for personal production of energy. The goal of the capstone class policy group is to put

  15. computational modeling of biological systems

    E-Print Network [OSTI]

    $author.value

    Faculty. Faculty listing for "computational modeling of biological systems" ... Research Interests: computational modeling of biological systems.

  16. Modeling Interregional Transmission Congestion in the National Energy Modeling System

    E-Print Network [OSTI]

    Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

    2006-01-01

    Central Area Reliability Coordination Council EMM region Electricity Capacity Planning submodule of NEMS Energy Efficiency and Renewable

  17. CNT-based MEMS/NEMS gas ionizers for portable mass spectrometry applications

    E-Print Network [OSTI]

    Velasquez-Heller, Luis Fernand

    We report the fabrication and experimental characterization of a carbon nanotube (CNT)-based MEMS/NEMS electron impact gas ionizer with an integrated extractor gate for portable mass spectrometry. The ionizer achieves ...

  18. A 2D/1D coupling neutron transport method based on the matrix MOC and NEM methods

    SciTech Connect (OSTI)

    Zhang, H.; Zheng, Y.; Wu, H.; Cao, L.

    2013-07-01

    A new 2D/1D coupling method based on the matrix MOC method (MMOC) and nodal expansion method (NEM) is proposed for solving the three-dimensional heterogeneous neutron transport problem. The MMOC method, used for radial two-dimensional calculation, constructs a response matrix between source and flux with only one sweep and then solves the linear system by using the restarted GMRES algorithm instead of the traditional trajectory sweeping process during within-group iteration for angular flux update. Long characteristics are generated by using the customization of commercial software AutoCAD. A one-dimensional diffusion calculation is carried out in the axial direction by employing the NEM method. The 2D and ID solutions are coupled through the transverse leakage items. The 3D CMFD method is used to ensure the global neutron balance and adjust the different convergence properties of the radial and axial solvers. A computational code is developed based on these theories. Two benchmarks are calculated to verify the coupling method and the code. It is observed that the corresponding numerical results agree well with references, which indicates that the new method is capable of solving the 3D heterogeneous neutron transport problem directly. (authors)

  19. Directory of energy information administration models 1995

    SciTech Connect (OSTI)

    1995-07-13

    This updated directory has been published annually; after this issue, it will be published only biennially. The Disruption Impact Simulator Model in use by EIA is included. Model descriptions have been updated according to revised documentation approved during the past year. This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included are 37 EIA models active as of February 1, 1995. The first group is the National Energy Modeling System (NEMS) models. The second group is all other EIA models that are not part of NEMS. Appendix A identifies major EIA modeling systems and the models within these systems. Appendix B is a summary of the `Annual Energy Outlook` Forecasting System.

  20. Modeling Interregional Transmission Congestion in the National Energy Modeling System

    E-Print Network [OSTI]

    Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

    2006-01-01

    NEMS does not track electricity transmission within regions,international electricity transmission with Canada andwhen solving for electricity transmission, the coal plants

  1. H Loop shaping control for PLL-based mechanical resonance tracking in NEMS resonant mass sensors

    E-Print Network [OSTI]

    Boyer, Edmond

    problem that rejects the disturbance described by the resonance frequency shift, attenuates the phase the measurement scheme to a disturbance rejection control issue which considers the resonance frequency variation--A simple dynamic detection of the resonance frequency shift in NEMS resonant mass sensors is described

  2. MEMS/NEMS Design Automation and Synthesis Annual Report for NSF Grant # CCR-DES/CC-0306557

    E-Print Network [OSTI]

    Agogino, Alice M.

    1 MEMS/NEMS Design Automation and Synthesis Annual Report for NSF Grant # CCR-DES/CC-0306557 (2004: The goal of the project is to extend the existing SUGAR MEMS simulator into a design synthesis tool that supports the early stages of MEMS/NEMS conceptual design. We are developing a broad base of MEMS building

  3. MEMS/NEMS Design Automation and Synthesis Annual Report for NSF Grant # CCR-DES/CC-0306557

    E-Print Network [OSTI]

    Agogino, Alice M.

    1 MEMS/NEMS Design Automation and Synthesis Annual Report for NSF Grant # CCR-DES/CC-0306557 (2005: The goal of the project is to extend the existing SUGAR MEMS simulator into a design synthesis tool that supports the early stages of MEMS/NEMS conceptual design. We are developing a broad base of MEMS building

  4. 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.

  5. Frequency stabilization in nonlinear MEMS and NEMS oscillators

    DOE Patents [OSTI]

    Lopez, Omar Daniel; Antonio, Dario

    2014-09-16

    An illustrative system includes an amplifier operably connected to a phase shifter. The amplifier is configured to amplify a voltage from an oscillator. The phase shifter is operably connected to a driving amplitude control, wherein the phase shifter is configured to phase shift the amplified voltage and is configured to set an amplitude of the phase shifted voltage. The oscillator is operably connected to the driving amplitude control. The phase shifted voltage drives the oscillator. The oscillator is at an internal resonance condition, based at least on the amplitude of the phase shifted voltage, that stabilizes frequency oscillations in the oscillator.

  6. Directory of Energy Information Administration Models 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-06

    This directory contains descriptions about each model, including the title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included in this directory are 35 EIA models active as of May 1, 1993. Models that run on personal computers are identified by ``PC`` as part of the acronym. EIA is developing new models, a National Energy Modeling System (NEMS), and is making changes to existing models to include new technologies, environmental issues, conservation, and renewables, as well as extend forecast horizon. Other parts of the Department are involved in this modeling effort. A fully operational model is planned which will integrate completed segments of NEMS for its first official application--preparation of EIA`s Annual Energy Outlook 1994. Abstracts for the new models will be included in next year`s version of this directory.

  7. Chapter 1: Operating System Models 1 Operating System Models

    E-Print Network [OSTI]

    Melbourne, University of

    Chapter 1: Operating System Models 1 2 Operating System Models 2.1 Introduction Over the past several years, a number of trends affecting operating system design are witnessed and foremost among them is a move towards modularity. Operating systems such as Microsofts Windows, IBMs OS/2, C-DACs PARAS

  8. A Model of U.S. Commercial Distributed Generation Adoption

    SciTech Connect (OSTI)

    LaCommare, Kristina Hamachi; Ryan Firestone; Zhou, Nan; Maribu,Karl; Marnay, Chris

    2006-01-10

    Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems over the next two decades. Forecasts of DG adoption published by the Energy Information Administration (EIA) in the Annual Energy Outlook (AEO) are made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. NEMS is also used for estimating the future benefits of Department of Energy research and development used in support of budget requests and management decisionmaking. The NEMS approach to modeling DG has some limitations, including constraints on the amount of DG allowed for retrofits to existing buildings and a small number of possible sizes for each DG technology. An alternative approach called Commercial Sector Model (ComSeM) is developed to improve the way in which DG adoption is modeled. The approach incorporates load shapes for specific end uses in specific building types in specific regions, e.g., cooling in hospitals in Atlanta or space heating in Chicago offices. The Distributed Energy Resources Customer Adoption Model (DER-CAM) uses these load profiles together with input cost and performance DG technology assumptions to model the potential DG adoption for four selected cities and two sizes of five building types in selected forecast years to 2022. The Distributed Energy Resources Market Diffusion Model (DER-MaDiM) is then used to then tailor the DER-CAM results to adoption projections for the entire U.S. commercial sector for all forecast years from 2007-2025. This process is conducted such that the structure of results are consistent with the structure of NEMS, and can be re-injected into NEMS that can then be used to integrate adoption results into a full forecast.

  9. Systems Modeling | ornl.gov

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

    Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information...

  10. Modeling Interregional Transmission Congestion in the National Energy Modeling System

    E-Print Network [OSTI]

    Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

    2006-01-01

    Total Number of New Plants Generating Capacity 7.2 GW 15.7that NEMS builds for generating plants, which are dedicatedOnly certain types of generating plants can be built off the

  11. Directory of Energy Information Administration Models 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.

  12. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    SciTech Connect (OSTI)

    Liu, Changzheng; Greene, David L

    2013-10-01

    How demand for E85 might evolve in the future in response to changing economics and policies is an important subject to include in the National Energy Modeling System (NEMS). This report summarizes a study to develop an E85 choice model for NEMS. Using the most recent data from the states of Minnesota, North Dakota, and Iowa, this study estimates a logit model that represents E85 choice as a function of prices of E10 and E85, as well as fuel availability of E85 relative to gasoline. Using more recent data than previous studies allows a better estimation of non-fleet demand and indicates that the price elasticity of E85 choice appears to be higher than previously estimated. Based on the results of the econometric analysis, a model for projecting E85 demand at the regional level is specified. In testing, the model produced plausible predictions of US E85 demand to 2040.

  13. Sandia Energy - Systems Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel Magnetization andStochastic HomeSunShot HomeAnalysisSystems

  14. RIGOROUS MODELING AND SIMULATION OF MECHATRONIC SYSTEMS

    E-Print Network [OSTI]

    Taylor, James H.

    RIGOROUS MODELING AND SIMULATION OF MECHATRONIC SYSTEMS James H. Taylor Professor Emeritus, Systems on mechatronic systems. Emphasis is placed on rigorous techniques and selecting the most appropriate method mentioned above for mechatronic systems. Key Words: Mechatronic systems, modeling, simulation, numerical

  15. 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.

  16. SciTech Connect: "earth system models"

    Office of Scientific and Technical Information (OSTI)

    earth system models" Find + Advanced Search Term Search Semantic Search Advanced Search All Fields: "earth system models" Semantic Semantic Term Title: Full Text: Bibliographic...

  17. Communication Systems: A Unified Model of Socially Intelligent Systems

    E-Print Network [OSTI]

    Rovatsos, Michael

    Communication Systems: A Unified Model of Socially Intelligent Systems Matthias Nickles, Michael communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical

  18. Appendix A: GPRA08 benefits estimates: NEMS and MARKAL Model Baseline Cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  19. Maui Electrical System Model Development

    E-Print Network [OSTI]

    Deliverable ­ Report on System Model Development By GE Global Research Niskayuna, New York And University of Energy Office of Electricity Delivery and Energy Reliability Under Award No. DE-FC-06NT42847 Task 8 of Hawaii Hawaii Natural Energy Institute School of Ocean and Earth Science and Technology July 2008 #12

  20. Modeling Multimodal Communication as a Complex System

    E-Print Network [OSTI]

    Thórisson, Kristinn Rúnar

    Modeling Multimodal Communication as a Complex System Kristinn R. Thórisson Center for Analysis of their interactions. Embodied natural communication belongs to this class of systems, encompassing many cognitive. Keywords: Multimodal realtime communication, computational model, complex natural system, heterogeneous

  1. Model documentation: Electricity Market Module, Electricity Capacity Planning submodule

    SciTech Connect (OSTI)

    Not Available

    1994-04-07

    The National Energy Modeling System (NEMS) is a computer modeling system developed by the Energy Information Administration (EIA). The NEMS produces integrated forecasts for energy markets in the United States by achieving a general equilibrium solution for energy supply and demand. Currently, for each year during the period from 1990 through 2010, the NEMS describes energy supply, conversion, consumption, and pricing. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The supply of electricity is a conversion activity since electricity is produced from other energy sources (e.g., fossil, nuclear, and renewable). The EMM represents the generation, transmission, and pricing of electricity. The EMM consists of four main submodules: Electricity Capacity Planning (ECP), Electricity Fuel Dispatching (EFD), Electricity Finance and Pricing (EFP), and Load and Demand-Side Management (LDSM). The ECP evaluates changes in the mix of generating capacity that are necessary to meet future demands for electricity and comply with environmental regulations. The EFD represents dispatching (i.e., operating) decisions and determines how to allocate available capacity to meet the current demand for electricity. Using investment expenditures from the ECP and operating costs from the EFD, the EFP calculates the price of electricity, accounting for state-level regulations involving the allocation of costs. The LDSM translates annual demands for electricity into distributions that describe hourly, seasonal, and time-of-day variations. These distributions are used by the EFD and the ECP to determine the quantity and types of generating capacity that are required to insure reliable and economical supplies of electricity. The EMM also represents nonutility suppliers and interregional and international transmission and trade. These activities are included in the EFD and the ECP.

  2. Prerequisites Control Systems, System Modeling, Optimal Control, Model Predictive Control, (Engine Systems).

    E-Print Network [OSTI]

    Lygeros, John

    of High Performance Hybrid Race Cars Background The power unit of a high performance hybrid race carPrerequisites Control Systems, System Modeling, Optimal Control, Model Predictive Control, (Engine consists of an internal combustion engine (ICE) and a kinetic energy recovery system (KERS). The time

  3. Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill

    Reports and Publications (EIA)

    2004-01-01

    This service report was undertaken at the February 2, 2004, request of Senator John Sununu to perform an assessment of the Conference Energy Bill of 2003. This report summarizes the CEB provisions that can be analyzed using the National Energy Modeling System (NEMS) and have the potential to affect energy consumption, supply, and prices. The impacts are estimated by comparing the projections with the CEB provisions to the AEO2004 Reference Case.

  4. NUCLEAR ENERGY SYSTEM COST MODELING

    SciTech Connect (OSTI)

    Francesco Ganda; Brent Dixon

    2012-09-01

    The U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative “Island” approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island’s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island’s cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

  5. Modeling the Earth System, volume 3

    SciTech Connect (OSTI)

    Ojima, D.

    1992-01-01

    The topics covered fall under the following headings: critical gaps in the Earth system conceptual framework; development needs for simplified models; and validating Earth system models and their subcomponents.

  6. Development and application of earth system models

    E-Print Network [OSTI]

    Development and application of earth system models Ronald G. Prinn *Reprinted from Proceedings, 2011) The global environment is a complex and dynamic system. Earth system modeling is needed to help: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;Development and application of earth system

  7. 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.

  8. 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.

  9. Modeling Power Systems as Complex Adaptive Systems

    SciTech Connect (OSTI)

    Chassin, David P.; Malard, Joel M.; Posse, Christian; Gangopadhyaya, Asim; Lu, Ning; Katipamula, Srinivas; Mallow, J V.

    2004-12-30

    Physical analogs have shown considerable promise for understanding the behavior of complex adaptive systems, including macroeconomics, biological systems, social networks, and electric power markets. Many of today's most challenging technical and policy questions can be reduced to a distributed economic control problem. Indeed, economically based control of large-scale systems is founded on the conjecture that the price-based regulation (e.g., auctions, markets) results in an optimal allocation of resources and emergent optimal system control. This report explores the state-of-the-art physical analogs for understanding the behavior of some econophysical systems and deriving stable and robust control strategies for using them. We review and discuss applications of some analytic methods based on a thermodynamic metaphor, according to which the interplay between system entropy and conservation laws gives rise to intuitive and governing global properties of complex systems that cannot be otherwise understood. We apply these methods to the question of how power markets can be expected to behave under a variety of conditions.

  10. Network and adaptive system of systems modeling and analysis.

    SciTech Connect (OSTI)

    Lawton, Craig R.; Campbell, James E. Dr.; Anderson, Dennis James; Eddy, John P.

    2007-05-01

    This report documents the results of an LDRD program entitled ''Network and Adaptive System of Systems Modeling and Analysis'' that was conducted during FY 2005 and FY 2006. The purpose of this study was to determine and implement ways to incorporate network communications modeling into existing System of Systems (SoS) modeling capabilities. Current SoS modeling, particularly for the Future Combat Systems (FCS) program, is conducted under the assumption that communication between the various systems is always possible and occurs instantaneously. A more realistic representation of these communications allows for better, more accurate simulation results. The current approach to meeting this objective has been to use existing capabilities to model network hardware reliability and adding capabilities to use that information to model the impact on the sustainment supply chain and operational availability.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. Geographical Information Systems and Dynamic Modeling via Agent Based Systems

    E-Print Network [OSTI]

    de Figueiredo, Luiz Henrique

    Geographical Information Systems and Dynamic Modeling via Agent Based Systems Cláudio Antônio da fariasol@eng.uerj.br ABSTRACT A full integration among Geographical Information Systems and Agent Based integrated with Geographical Information Systems (GIS). The first one is the movement of pedestrians

  17. Development and Application of Earth System Models

    E-Print Network [OSTI]

    Prinn, Ronald G.

    The global environment is a complex and dynamic system. Earth system modeling is needed to help understand changes in interacting subsystems, elucidate the influence of human activities, and explore possible future changes. ...

  18. Simulation Models for Improved Water Heating Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2014-01-01

    with studies of solar water heaters. Another area withto model hybrid water heaters or solar thermal systems. Theof a Gas Tankless Water Heater. ” In SOLAR 2008 San Diego,

  19. Nuclear Systems Modeling, Simulation & Validation | Nuclear Science...

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

    Research Areas Fuel Cycle Science & Technology Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation...

  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. A model for international border management systems.

    SciTech Connect (OSTI)

    Duggan, Ruth Ann

    2008-09-01

    To effectively manage the security or control of its borders, a country must understand its border management activities as a system. Using its systems engineering and security foundations as a Department of Energy National Security Laboratory, Sandia National Laboratories has developed such an approach to modeling and analyzing border management systems. This paper describes the basic model and its elements developed under Laboratory Directed Research and Development project 08-684.

  2. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    E-Print Network [OSTI]

    Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Documentation Report: Wind Energy Submodule (WES). DOE/EIA-The Economic Value of Wind Energy at High Power Systemthe characterization of wind energy in the model as used for

  3. Stochastic Modelling of Hydrologic Systems

    E-Print Network [OSTI]

    method is tested. The data originate from a waste water treatment plant in Denmark, and consists of pre are to be used for automatic control in the waste water treatment plant. The conditional parametric modelling

  4. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    E-Print Network [OSTI]

    Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Documentation Report: Wind Energy Submodule (WES). DOE/EIA-The Economic Value of Wind Energy at High Power SystemReference Case, 0.8 GW of wind energy are added between 2000

  5. Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems Karl.kth.se/~kallej MOVEP 2006, Bordeaux, France Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux on commands and autonomous actions #12;Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux, 2006

  6. Economical ontological models for discrete quantum systems

    E-Print Network [OSTI]

    Ernesto F. Galvao

    2009-07-10

    I use the recently proposed framework of ontological models [Harrigan et al., arXiv:0709.1149v2] to obtain economical models for results of tomographically complete sets of measurements on finite-dimensional quantum systems. I describe a procedure that simplifies the models by decreasing the number of necessary ontic states, and present an explicit model with just 33 ontic states for a qutrit.

  7. A scalable methodology for modeling cities as systems of systems

    E-Print Network [OSTI]

    Wachtel, Amanda M. (Amanda Marie)

    2013-01-01

    As cities evolve in size and complexity, their component systems become more interconnected. Comprehensive modeling and simulation is needed to capture interactions and correctly assess the impact of changes. This thesis ...

  8. Salinity routing in reservoir system modeling 

    E-Print Network [OSTI]

    Ha, Mi Ae

    2007-04-25

    This research evaluates and improves capabilities incorporated in the Water Rights Analysis Package (WRAP) modeling system for tracking salt loads, particularly for applications dealing with natural salt pollution problems ...

  9. Dynamic modeling issues for power system applications 

    E-Print Network [OSTI]

    Song, Xuefeng

    2005-02-17

    Power system dynamics are commonly modeled by parameter dependent nonlinear differential-algebraic equations (DAE) x ???p y x f ) and 0 = p y x g ) . Due to (,, (,, the algebraic constraints, we cannot directly perform...

  10. Convex Models of Distribution System Reconfiguration

    E-Print Network [OSTI]

    Taylor, Joshua A.

    We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, ...

  11. Hybrid Energy System Modeling in Modelica

    SciTech Connect (OSTI)

    William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia

    2014-03-01

    In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.

  12. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01

    The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

  13. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  14. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  15. Human performance modeling for system of systems analytics :soldier fatigue.

    SciTech Connect (OSTI)

    Lawton, Craig R.; Campbell, James E.; Miller, Dwight Peter

    2005-10-01

    The military has identified Human Performance Modeling (HPM) as a significant requirement and challenge of future systems modeling and analysis initiatives as can be seen in the Department of Defense's (DoD) Defense Modeling and Simulation Office's (DMSO) Master Plan (DoD 5000.59-P 1995). To this goal, the military is currently spending millions of dollars on programs devoted to HPM in various military contexts. Examples include the Human Performance Modeling Integration (HPMI) program within the Air Force Research Laboratory, which focuses on integrating HPMs with constructive models of systems (e.g. cockpit simulations) and the Navy's Human Performance Center (HPC) established in September 2003. Nearly all of these initiatives focus on the interface between humans and a single system. This is insufficient in the era of highly complex network centric SoS. This report presents research and development in the area of HPM in a system-of-systems (SoS). Specifically, this report addresses modeling soldier fatigue and the potential impacts soldier fatigue can have on SoS performance.

  16. Agent Modeling for Integrated Power Systems

    E-Print Network [OSTI]

    effective market power mitigation rules, how to incorporate ancillary service markets, and how to properly implement a retail electricity market to encourage customer participation. Although valuable experience hasAgent Modeling for Integrated Power Systems Final Project Report Power Systems Engineering Research

  17. Protein viscoelastic dynamics: a model system

    E-Print Network [OSTI]

    Craig Fogle; Joseph Rudnick; David Jasnow

    2015-02-02

    A model system inspired by recent experiments on the dynamics of a folded protein under the influence of a sinusoidal force is investigated and found to replicate many of the response characteristics of such a system. The essence of the model is a strongly over-damped oscillator described by a harmonic restoring force for small displacements that reversibly yields to stress under sufficiently large displacement. This simple dynamical system also reveals unexpectedly rich behavior, exhibiting a series of dynamical transitions and analogies with equilibrium thermodynamic phase transitions. The effects of noise and of inertia are briefly considered and described.

  18. INFORMATION INVASION IN ENTERPRISE SYSTEMS Modelling, simulating and analysing system-level information propagation

    E-Print Network [OSTI]

    Henderson, Peter

    INFORMATION INVASION IN ENTERPRISE SYSTEMS Modelling, simulating and analysing system@ecs.soton.ac.uk Keywords: Enterprise information systems, Systems-level modelling, System simulation. A significant problem facing these organisations is how their information systems will cope with inconsistency

  19. APT Blanket System Model Based on Initial Conceptual Design - Integrated 1D TRAC System Model

    SciTech Connect (OSTI)

    Hamm, L.L.

    1998-10-07

    This report documents the approaches taken in establishing a 1-dimensional integrated blanket system model using the TRAC code, developed by Los Alamos National Laboratory.

  20. Intrinsic Uncertainties in Modeling Complex Systems.

    SciTech Connect (OSTI)

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

    2014-09-01

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

  1. Hot Water Distribution System Model Enhancements

    SciTech Connect (OSTI)

    Hoeschele, M.; Weitzel, E.

    2012-11-01

    This project involves enhancement of the HWSIM distribution system model to more accurately model pipe heat transfer. Recent laboratory testing efforts have indicated that the modeling of radiant heat transfer effects is needed to accurately characterize piping heat loss. An analytical methodology for integrating radiant heat transfer was implemented with HWSIM. Laboratory test data collected in another project was then used to validate the model for a variety of uninsulated and insulated pipe cases (copper, PEX, and CPVC). Results appear favorable, with typical deviations from lab results less than 8%.

  2. Investment Model for Renewable Electricity Systems (IMRES): an

    E-Print Network [OSTI]

    McCalley, James D.

    Investment Model for Renewable Electricity Systems (IMRES): an Electricity Generation Capacity Model for Renewable Electricity Systems (IMRES): an Electricity Generation Capacity Expansion, that facilitate renewable integration and reduce the total system cost. 1 Introduction The Investment Model

  3. 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.

  4. Comparative Evaluation of Generalized River/Reservoir System Models 

    E-Print Network [OSTI]

    Wurbs, Ralph A.

    2005-01-01

    modeling systems that simulate the storage, flow, and diversion of water in a system of reservoirs and river reaches. Generalized means that a computer modeling system is designed for application to a range of concerns dealing with river basin systems...

  5. White Paper Societal Dimensions of Earth System Modeling

    E-Print Network [OSTI]

    on Societal Dimensions of Earth System Modeling July 5, 2011 #12; 2 Executive Summary · A Societal Dimensions of Earth System Modeling workshop was held

  6. System Reliability Model for Solid-State Lighting Luminaires...

    Energy Savers [EERE]

    System Reliability Model for Solid-State Lighting Luminaires System Reliability Model for Solid-State Lighting Luminaires Lead Performer: RTI International - Research Triangle...

  7. Statistically downscaling from an Earth System Model of Intermediate

    E-Print Network [OSTI]

    Feigon, Brooke

    Statistically downscaling from an Earth System Model of Intermediate Complexity to reconstruct past Earth System Models of Intermediate Complexity (EMICs) have the advantage of allowing transient

  8. Advanced HD Engine Systems and Emissions Control Modeling and...

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

    HD Engine Systems and Emissions Control Modeling and Analysis Advanced HD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...

  9. Advanced LD Engine Systems and Emissions Control Modeling and...

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

    LD Engine Systems and Emissions Control Modeling and Analysis Advanced LD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...

  10. Advanced PHEV Engine Systems and Emissions Control Modeling and...

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

    PHEV Engine Systems and Emissions Control Modeling and Analysis Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis 2011 DOE Hydrogen and Fuel Cells Program,...

  11. Reference Model for Control and Automation Systems in Electrical...

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

    Model for Control and Automation Systems in Electrical Power (October 2005) Reference Model for Control and Automation Systems in Electrical Power (October 2005) Modern...

  12. Experimental Studies for DPF and SCR Model, Control System, and...

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

    DPF and SCR Model, Control System, and OBD Development for Engines Using Diesel and Biodiesel Fuels Experimental Studies for DPF and SCR Model, Control System, and OBD...

  13. Fuel Cell Power Model for CHHP System Economics and Performance...

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

    Model for CHHP System Economics and Performance Analysis Fuel Cell Power Model for CHHP System Economics and Performance Analysis Presented at the Renewable Hydrogen Workshop, Nov....

  14. Improving efficiency of a vehicle HVAC system with comfort modeling...

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

    efficiency of a vehicle HVAC system with comfort modeling, zonal design, and thermoelectric devices Improving efficiency of a vehicle HVAC system with comfort modeling, zonal...

  15. Integrating systems biology models and biomedical ontologies

    E-Print Network [OSTI]

    Hoehndorf, Robert; Dumontier, Michel; Gennari, John H.; Wimalaratne, Sarala; de Bono, Bernard; Cook, Daniel L.; Gkoutos, Georgios V.

    2011-08-11

    Integrating systems biology models and biomedical ontologies Robert Hoehndorf1*, Michel Dumontier2,3, John H Gennari4, Sarala Wimalaratne5, Bernard de Bono5, Daniel L Cook6,7 and Georgios V Gkoutos1 Abstract Background: Systems biology is an approach... in yeast [19] and includes a compartment anno- tated with Nucleus that contains, among others, the spe- cies G1, G2, S and M annotated with G1 phase, G2 phase, S phase and M phase, respectively. Within the model, the amounts of these species can be either 0...

  16. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  17. Modeling of Lean Exhaust Emissions Control Systems | Department...

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

    Lean Exhaust Emissions Control Systems Modeling of Lean Exhaust Emissions Control Systems 2002 DEER Conference Presentation: National Renewable Energy Laboratory...

  18. Center for Climate Systems Modeling Center for Climate Systems Modeling (C2SM)

    E-Print Network [OSTI]

    Fischlin, Andreas

    C2SM Center for Climate Systems Modeling Contact Center for Climate Systems Modeling (C2SM) Dr of the Earth's weather and climate.» Nicolas Gruber, Chair C2SM Partner institutions · ETH Zurich: Swiss Federal Institute of Technology Zurich · MeteoSwiss: Federal Office of Meteorology and Climatology · Empa

  19. Net Energy Metering (NEM)

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

    facilities on the military installation does not exceed 50% of the highest daily peak demand for electricity at that military installation over the course of the preceding...

  20. NEMS International Energy Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.82 (MillionandIndustrialYear137

  1. An advanced power distribution automation model system

    SciTech Connect (OSTI)

    Niwa, Shigeharu; Kanoi, Minoru; Nishijima, Kazuo; Hayami, Mitsuo

    1995-12-31

    An advanced power distribution automation (APDA) model system has been developed on the present basis of the automated distribution systems in Japan, which have been used for remote switching operations and for urgent supply restorations during faults. The increased use of electronic apparatuses sensitive to supply interruption requires very high supply reliability, and the final developed system is expected to be useful for this purpose. The developed model system adopts pole circuit breakers and remote termination units connected through 64kbps optical fibers to the computer of the automated system in the control center. Immediate switching operations for supply restorations during faults are possible through the restoration procedures, prepared beforehand, by the computer and by fast telecommunications using optical fibers. So, protection by the feeder circuit breaker in the substation can be avoided, which would otherwise cause the blackout of the whole distribution line. The test results show the effectiveness of model the system: successful fault locations and reconfiguration for supply restoration including separation of the fault sections (without blackout for the ground faults and with a short period (within 1 s) of blackout for the short-circuit faults).

  2. System level modeling of thermoelectric generators for automotive...

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

    level modeling of thermoelectric generators for automotive applications System level modeling of thermoelectric generators for automotive applications Uses a model to predict and...

  3. Fire and materials modeling for transportation systems

    SciTech Connect (OSTI)

    Skocypec, R.D.; Gritzo, L.A.; Moya, J.L.; Nicolette, V.F.; Tieszen, S.R.; Thomas, R.

    1994-10-01

    Fire is an important threat to the safety of transportation systems. Therefore, understanding the effects of fire (and its interaction with materials) on transportation systems is crucial to quantifying and mitigating the impact of fire on the safety of those systems. Research and development directed toward improving the fire safety of transportation systems must address a broad range of phenomena and technologies, including: crash dynamics, fuel dispersion, fire environment characterization, material characterization, and system/cargo thermal response modeling. In addition, if the goal of the work is an assessment and/or reduction of risk due to fires, probabilistic risk assessment technology is also required. The research currently underway at Sandia National Laboratories in each of these areas is summarized in this paper.

  4. Modeling Control Mechanisms with Normative Multiagent Systems

    E-Print Network [OSTI]

    van der Torre, Leon

    of renewable energy. We apply a conceptual model based on normative multiagent systems (NMAS). We propose to stimulate the production of #12;energy from renewable sources [20]. The ruling involves an obligation for energy sup- pliers to produce evidence of having distributed a certain minimal amount of renewable energy

  5. MODULAR MODELING OF ENGINEERING SYSTEMS USING

    E-Print Network [OSTI]

    Radcliffe, Clark J.

    the geometry of their 1998 Chrysler Concorde and 1998 Dodge Intrepid. The Chrysler large car models were physical subsystems ("Computers In Engineering: Chrysler designs paperless cars", 1998). Chrysler engineers the systematic method of generalized Cartesian coordinates (Haug, 1989 and Nikravesh, 1988). Electrical system

  6. Wind Farm Power System Model Development: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.

    2004-07-01

    In some areas, wind power has reached a level where it begins to impact grid operation and the stability of local utilities. In this paper, the model development for a large wind farm will be presented. Wind farm dynamic behavior and contribution to stability during transmission system faults will be examined.

  7. Model Based Safety Assessment Dynamic System

    E-Print Network [OSTI]

    Grigoras, .Romulus

    Assessment Techniques ·Failure mode and effect analysis (FMEA) ­ Model: from a local failure to its system chain .... 2 Functional FMEA template FT unannunciated loss of wheel braking #12;Drawbacks of the Classical Safety Assessment Techniques · Fault Tree, FMEA ­ Give failure propagation paths without referring

  8. Maui Electrical System Simulation Model Validation

    E-Print Network [OSTI]

    Maui Electrical System Simulation Model Validation Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under Award No. DE-FC-06NT42847 Task 9 Deliverable was prepared by General Electric Company (GE) as an account of work sponsored by the Hawaii Natural Energy

  9. Modeling and Enhancing Android's Permission System

    E-Print Network [OSTI]

    Bauer, Lujo

    Modeling and Enhancing Android's Permission System Elli Fragkaki, Lujo Bauer, Limin Jia, and David that Android's security architecture cannot prevent many undesired behaviors that compromise the integrity on Android se- curity: first, it develops a formal framework for analyzing Android-style security mechanisms

  10. Cost effectiveness of recycling: A systems model

    SciTech Connect (OSTI)

    Tonjes, David J., E-mail: david.tonjes@stonybrook.edu [Department of Technology and Society, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY 11794-3560 (United States); Waste Reduction and Management Institute, School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000 (United States); Center for Bioenergy Research and Development, Advanced Energy Research and Technology Center, Stony Brook University, 1000 Innovation Rd., Stony Brook, NY 11794-6044 (United States); Mallikarjun, Sreekanth, E-mail: sreekanth.mallikarjun@stonybrook.edu [Department of Technology and Society, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY 11794-3560 (United States)

    2013-11-15

    Highlights: • Curbside collection of recyclables reduces overall system costs over a range of conditions. • When avoided costs for recyclables are large, even high collection costs are supported. • When avoided costs for recyclables are not great, there are reduced opportunities for savings. • For common waste compositions, maximizing curbside recyclables collection always saves money. - Abstract: Financial analytical models of waste management systems have often found that recycling costs exceed direct benefits, and in order to economically justify recycling activities, externalities such as household expenses or environmental impacts must be invoked. Certain more empirically based studies have also found that recycling is more expensive than disposal. Other work, both through models and surveys, have found differently. Here we present an empirical systems model, largely drawn from a suburban Long Island municipality. The model accounts for changes in distribution of effort as recycling tonnages displace disposal tonnages, and the seven different cases examined all show that curbside collection programs that manage up to between 31% and 37% of the waste stream should result in overall system savings. These savings accrue partially because of assumed cost differences in tip fees for recyclables and disposed wastes, and also because recycling can result in a more efficient, cost-effective collection program. These results imply that increases in recycling are justifiable due to cost-savings alone, not on more difficult to measure factors that may not impact program budgets.

  11. Gas Centrifuge Enrichment Plant Safeguards System Modeling

    SciTech Connect (OSTI)

    Elayat, H A; O'Connell, W J; Boyer, B D

    2006-06-05

    The U.S. Department of Energy (DOE) is interested in developing tools and methods for potential U.S. use in designing and evaluating safeguards systems used in enrichment facilities. This research focuses on analyzing the effectiveness of the safeguards in protecting against the range of safeguards concerns for enrichment plants, including diversion of attractive material and unauthorized modes of use. We developed an Extend simulation model for a generic medium-sized centrifuge enrichment plant. We modeled the material flow in normal operation, plant operational upset modes, and selected diversion scenarios, for selected safeguards systems. Simulation modeling is used to analyze both authorized and unauthorized use of a plant and the flow of safeguards information. Simulation tracks the movement of materials and isotopes, identifies the signatures of unauthorized use, tracks the flow and compilation of safeguards data, and evaluates the effectiveness of the safeguards system in detecting misuse signatures. The simulation model developed could be of use to the International Atomic Energy Agency IAEA, enabling the IAEA to observe and draw conclusions that uranium enrichment facilities are being used only within authorized limits for peaceful uses of nuclear energy. It will evaluate improved approaches to nonproliferation concerns, facilitating deployment of enhanced and cost-effective safeguards systems for an important part of the nuclear power fuel cycle.

  12. Modeling Power System Operation with Intermittent Resources

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

    2013-02-27

    Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.

  13. Sensitivity Analysis Methodology for a Complex System Computational Model

    E-Print Network [OSTI]

    1 Sensitivity Analysis Methodology for a Complex System Computational Model James J. Filliben of computational models to serve as predictive surrogates for the system. The use of such models increasingly) of a computational model for a complex system is always an essential component in accepting/rejecting such a model

  14. Model reduction of systems with localized nonlinearities.

    SciTech Connect (OSTI)

    Segalman, Daniel Joseph

    2006-03-01

    An LDRD funded approach to development of reduced order models for systems with local nonlinearities is presented. This method is particularly useful for problems of structural dynamics, but has potential application in other fields. The key elements of this approach are (1) employment of eigen modes of a reference linear system, (2) incorporation of basis functions with an appropriate discontinuity at the location of the nonlinearity. Galerkin solution using the above combination of basis functions appears to capture the dynamics of the system with a small basis set. For problems involving small amplitude dynamics, the addition of discontinuous (joint) modes appears to capture the nonlinear mechanics correctly while preserving the modal form of the predictions. For problems involving large amplitude dynamics of realistic joint models (macro-slip), the use of appropriate joint modes along with sufficient basis eigen modes to capture the frequencies of the system greatly enhances convergence, though the modal nature the result is lost. Also observed is that when joint modes are used in conjunction with a small number of elastic eigen modes in problems of macro-slip of realistic joint models, the resulting predictions are very similar to those of the full solution when seen through a low pass filter. This has significance both in terms of greatly reducing the number of degrees of freedom of the problem and in terms of facilitating the use of much larger time steps.

  15. Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems

    E-Print Network [OSTI]

    Kerekes, Tamas

    Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems Kerekes and Modeling of Transformerless Photovoltaic Inverter Systems. Aalborg Universitet: Institut for Energiteknik from vbn.aau.dk on: juli 05, 2015 #12;Analysis and Modeling of Transformerless Photovoltaic Inverter

  16. MATHEMATICAL MODELING OF THE BEHAVIOR OF GEOTHERMAL SYSTEMS UNDER EXPLOITATION

    E-Print Network [OSTI]

    Bodvarsson, G.S.

    2010-01-01

    Mathematical modeling and geothermal systems, Proceedngs 2nds t u d i e s of geothermal systems, and ( 3 ) f i e l d a pcomplicates modeling of geothermal systems and the i n t e r

  17. April 30, 2013 Mathematical and Computer Modelling of Dynamical Systems criticalTransitions Mathematical and Computer Modelling of Dynamical Systems

    E-Print Network [OSTI]

    Gedeon, Tomas

    , from those appearing in physiology and ecology to Earth systems modeling, often experience critical

  18. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    with electric and thermal storage technologies," presentedModeling of Thermal Storage Systems in MILP Distributedof California. Modeling of thermal storage systems in MILP

  19. Power-Invariant Magnetic System Modeling 

    E-Print Network [OSTI]

    Gonzalez Dominguez, Guadalupe Giselle

    2012-10-19

    insights to invent new magnetic systems. 9 E. Dissertation Organization The next chapter includes a literature review of magnetic materials and electromagnetic theory as these are fundamental for the development of the theory that we... storage element. Furthermore, the two other iv elements are not defined. This difference has initiated a reevaluation of the conventional magnetic model. In this dissertation the fundamentals on electromagnetism and magnetic materials that supports...

  20. ALVW: an alife behaviour modelling system

    E-Print Network [OSTI]

    Gutierrez, Diego

    ALVW: an alife behaviour modelling system A. Pina Dpto. de Matema´tica e Informa´tica, Universidad Pu´blica de Navarra, Pamplona, Spain, and F.J. Seron, E. Cerezo and D. Gutierrez Grupo de Informa´tica Gra´fica Avanzada, Departamento de Informa´tica e Ingenieri´a de Sistemas, Instituto de Investigacio

  1. Steam System Modeler | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergyPlan | Department of Energy 1 DOE| Department ofSteam System Modeler

  2. Modeling needs for very large systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.

    2010-10-01

    Most system performance models assume a point measurement for irradiance and that, except for the impact of shading from nearby obstacles, incident irradiance is uniform across the array. Module temperature is also assumed to be uniform across the array. For small arrays and hourly-averaged simulations, this may be a reasonable assumption. Stein is conducting research to characterize variability in large systems and to develop models that can better accommodate large system factors. In large, multi-MW arrays, passing clouds may block sunlight from a portion of the array but never affect another portion. Figure 22 shows that two irradiance measurements at opposite ends of a multi-MW PV plant appear to have similar irradiance (left), but in fact the irradiance is not always the same (right). Module temperature may also vary across the array, with modules on the edges being cooler because they have greater wind exposure. Large arrays will also have long wire runs and will be subject to associated losses. Soiling patterns may also vary, with modules closer to the source of soiling, such as an agricultural field, receiving more dust load. One of the primary concerns associated with this effort is how to work with integrators to gain access to better and more comprehensive data for model development and validation.

  3. Adaptive model training system and method

    DOE Patents [OSTI]

    Bickford, Randall L; Palnitkar, Rahul M; Lee, Vo

    2014-04-15

    An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

  4. Adaptive model training system and method

    DOE Patents [OSTI]

    Bickford, Randall L; Palnitkar, Rahul M

    2014-11-18

    An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.

  5. World Energy Projection System model documentation

    SciTech Connect (OSTI)

    Hutzler, M.J.; Anderson, A.T.

    1997-09-01

    The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

  6. Multi-core Technologies Model Design and System Architecture

    E-Print Network [OSTI]

    Albanese, Claudio

    Multi-core Technologies Model Design and System Architecture Conclusions High Performance Pricing-core Technologies Model Design and System Architecture Conclusions Summary Multi-core Technologies Model Design Model Design and System Architecture Conclusions Banking, Mathematics and Technology Modern banking

  7. Performance model assessment for multi-junction concentrating photovoltaic systems.

    SciTech Connect (OSTI)

    Riley, Daniel M.; McConnell, Robert.; Sahm, Aaron; Crawford, Clark; King, David L.; Cameron, Christopher P.; Foresi, James S.

    2010-03-01

    Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement.

  8. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    in latent heat energy storage systems: A review," Renewableof thermal energy storage systems," International Journal ofModeling of Thermal Storage Systems in MILP Distributed

  9. The Community Earth System Model: A Framework for Collaborative...

    Office of Scientific and Technical Information (OSTI)

    across multiple time and space scales. This global coupled model is a natural evolution from its predecessor, the Community Climate System Model, following the...

  10. Modeling and Optimization of Hybrid Solar Thermoelectric Systems...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Modeling and Optimization of Hybrid Solar Thermoelectric Systems with Thermosyphons Citation Details In-Document Search Title: Modeling and Optimization of Hybrid...

  11. Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits

    E-Print Network [OSTI]

    Nathanael, Rhesa

    2012-01-01

    II,” Journal of Microelectromechanical Systems, vol. 12, no.Journal of Microelectromechanical Systems, vol. 6, no. 2,Journal of Microelectromechanical Systems, vol. 16, no. 1,

  12. Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits

    E-Print Network [OSTI]

    Nathanael, Rhesa

    2012-01-01

    II,” Journal of Microelectromechanical Systems, vol. 12, no.structures,” Journal of Microelectromechanical Systems, vol.Journal of Microelectromechanical Systems, vol. 16, no. 1,

  13. Modeling of Diesel Exhaust Systems: A methodology to better simulate...

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

    of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Modeling of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Discussed...

  14. Historical and idealized model experiments: an intercomparison of Earth system models of

    E-Print Network [OSTI]

    Historical and idealized model experiments: an intercomparison of Earth system models: an intercomparison of Earth system models of intermediate complexity M. Eby1, A. J. Weaver1, K. Alexander1, K

  15. Community Earth System Modeling Tutorial 12-16 July 2010

    E-Print Network [OSTI]

    Community Earth System Modeling Tutorial 12-16 July 2010 National Center for Atmospheric Research, Boulder, CO APPLICATION DEADLINE: 15 April 2010 The Community Earth System Model (CESM) project

  16. Bayesian-based simulation model validation for spacecraft thermal systems

    E-Print Network [OSTI]

    Stout, Kevin Dale

    2015-01-01

    Over the last several decades of space flight, spacecraft thermal system modeling software has advanced significantly, but the model validation process, in general, has changed very little. Although most thermal systems ...

  17. Verifying Hybrid Systems Modeled as Timed Automata: A Case Study?

    E-Print Network [OSTI]

    -Vaandrager timed automata model, of the Steam Boiler Controller problem, a hybrid systems benchmark. This pa- per

  18. ModelBased Information Integration in a Neuroscience Mediator System

    E-Print Network [OSTI]

    Ludäscher, Bertram

    Model­Based Information Integration in a Neuroscience Mediator System Bertram Lud¨ascher ? Amarnath

  19. Full-System Power Analysis and Modeling for Server Environments

    E-Print Network [OSTI]

    Kozyrakis, Christos

    Full-System Power Analysis and Modeling for Server Environments Dimitris Economou, Suzanne Rivoire consumption trends and developing simple yet accurate models to predict full-system power. We study to generate a model by correlating AC power measurements with user-level system utilization metrics. We

  20. Supplementary Information: The Grid ENabled Integrated Earth system modelling (GENIE)

    E-Print Network [OSTI]

    Edwards, Neil

    Supplementary Information: The Grid ENabled Integrated Earth system modelling (GENIE) framework T Integrated Earth system modelling (GENIE) frame- work supports modularity (i.e. interchangeable components to produce a range of com- putationally efficient Earth system models (ESMs) that span a spectrum from

  1. Fuel Cell System Improvement for Model-Based Diagnosis Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which

  2. AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL

    E-Print Network [OSTI]

    Pappas, George J.

    AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL JOHN LYGEROS, GEORGE PAPPAS as models of large scale systems. We provide an overview of modeling, analysis, and controller synthesis automatically. Finally, we review a method for designing controllers for hybrid systems with reachability

  3. Algebra of systems: A metalanguage for model synthesis and evaluation

    E-Print Network [OSTI]

    Koo, Benjamin H. Y.

    This paper represents system models as algebraic entities and formulates model transformation activities as algebraic operations. We call this modeling framework ldquoalgebra of systemsrdquo (AoS). To show that AoS can ...

  4. Model documentation: Electricity market module, electricity finance and pricing submodule

    SciTech Connect (OSTI)

    Not Available

    1994-04-07

    The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

  5. Dynamical Systems Analysis of Various Dark Energy Models

    E-Print Network [OSTI]

    Nandan Roy

    2015-11-25

    In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.

  6. Dynamical Systems Analysis of Various Dark Energy Models

    E-Print Network [OSTI]

    Roy, Nandan

    2015-01-01

    In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.

  7. Computational systems biology and in silico modeling of the

    E-Print Network [OSTI]

    Borenstein, Elhanan

    Computational systems biology and in silico modeling of the human microbiome Elhanan Borenstein Professor at the Santa Fe Institute. His research interests include computational and evolutionary systems is a complex biological system with numerous interacting components across multiple organizational levels

  8. Modeling Water Resource Systems under Climate Change: IGSM-WRS

    E-Print Network [OSTI]

    Strzepek, K.

    Through the integration of a Water Resource System (WRS) component, the MIT Integrated Global System Model (IGSM) framework has been enhanced to study the effects of climate change on managed water-resource systems. ...

  9. 2/3/2000 Systems Modeling Spring 2000 1 Basics of Queuing Network Models

    E-Print Network [OSTI]

    Browne, James C.

    1 2/3/2000 Systems Modeling ­ Spring 2000 1 Basics of Queuing Network Models Basics of Queuing Deterministic Open Networks Closed Networks Some Example Problems 2/3/2000 Systems Modeling ­ Spring 2000 2 ­ Service requirement for a job. Single Server Open Networks #12; 2 2/3/2000 Systems Modeling ­ Spring 2000

  10. Parameter Discovery for Stochastic Computational Models in Systems Biology Using Bayesian Model

    E-Print Network [OSTI]

    Parameter Discovery for Stochastic Computational Models in Systems Biology Using Bayesian Model--Parameterized probabilistic complex computational (P2 C2 ) models are increasingly used in computational systems biology to study biochemical and physiological systems. A key challenge is to build mechanistic P2 C2 models

  11. Solar system tests of brane world models

    E-Print Network [OSTI]

    Christian G. Boehmer; Tiberiu Harko; Francisco S. N. Lobo

    2008-02-05

    The classical tests of general relativity (perihelion precession, deflection of light, and the radar echo delay) are considered for the Dadhich, Maartens, Papadopoulos and Rezania (DMPR) solution of the spherically symmetric static vacuum field equations in brane world models. For this solution the metric in the vacuum exterior to a brane world star is similar to the Reissner-Nordstrom form of classical general relativity, with the role of the charge played by the tidal effects arising from projections of the fifth dimension. The existing observational solar system data on the perihelion shift of Mercury, on the light bending around the Sun (obtained using long-baseline radio interferometry), and ranging to Mars using the Viking lander, constrain the numerical values of the bulk tidal parameter and of the brane tension.

  12. 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.

  13. System Level Design Using the SystemC Modeling Platform 1

    E-Print Network [OSTI]

    Ould Ahmedou, Mohameden

    the correctness of such a specification. These drawbacks have driven many system, hardware, and software designers of the initiative, which enables, promotes, and accelerates system-level intellectual property (IP) model exchangeSystem Level Design Using the SystemC Modeling Platform 1 1. Introduction1 As system complexity

  14. Optimization of large-scale heterogeneous system-of-systems models.

    SciTech Connect (OSTI)

    Parekh, Ojas; Watson, Jean-Paul; Phillips, Cynthia Ann; Siirola, John; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Lee, Herbert K. H. (University of California, Santa Cruz, Santa Cruz, CA); Hart, William Eugene; Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA); Woodruff, David L. (University of California, Davis, Davis, CA)

    2012-01-01

    Decision makers increasingly rely on large-scale computational models to simulate and analyze complex man-made systems. For example, computational models of national infrastructures are being used to inform government policy, assess economic and national security risks, evaluate infrastructure interdependencies, and plan for the growth and evolution of infrastructure capabilities. A major challenge for decision makers is the analysis of national-scale models that are composed of interacting systems: effective integration of system models is difficult, there are many parameters to analyze in these systems, and fundamental modeling uncertainties complicate analysis. This project is developing optimization methods to effectively represent and analyze large-scale heterogeneous system of systems (HSoS) models, which have emerged as a promising approach for describing such complex man-made systems. These optimization methods enable decision makers to predict future system behavior, manage system risk, assess tradeoffs between system criteria, and identify critical modeling uncertainties.

  15. Linear programming model for optimum resource allocation in rural systems

    SciTech Connect (OSTI)

    Devadas, V. [Indian Inst. of Tech., Kharagpur (India)

    1997-07-01

    The article presents a model for optimum resource allocation in a rural system. Making use of linear programming, the objective function of the linear programming model is to maximize the revenue of the rural system, and optimum resource allocation is made subject to a number of energy- and nonenergy-related constraints relevant to the rural system. The model also quantifies the major yields as well as the by-products of different sectors of the rural economic system.

  16. Refinement of Hybrid Systems from Formal Models to Design Languages

    E-Print Network [OSTI]

    Cengarle, María Victoria

    of high-level design of a control system, it is highly desirable to use representations that accuratelyRefinement of Hybrid Systems from Formal Models to Design Languages Jan Romberg Systems & Software Abstract System-level design for discrete-continuous embedded systems is a complex and error- prone task

  17. 201202 Reservoir System Modeling Technologies Conference

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

    Modeling Applied To The Columbia River - PSR Adjoint Modeling Framework for Real-Time Control of Water - Deltares Reservoir Operations Analysis in the Willamette Water 2100...

  18. Modeling biological systems using Petri nets wimbos@gmail.com

    E-Print Network [OSTI]

    Theune, Mariët

    to Petri nets, they allow for different abstraction levels, making it possible to model biological networksModeling biological systems using Petri nets Wim Bos wimbos@gmail.com ABSTRACT Petri Nets (PNs) biological systems, or networks. As a lot of extensions to PNs exist, it is possible to model different

  19. Analysis Model for Domestic Hot Water Distribution Systems: Preprint

    SciTech Connect (OSTI)

    Maguire, J.; Krarti, M.; Fang, X.

    2011-11-01

    A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.

  20. Residential Vertical Geothermal Heat Pump System Models: Calibration to Data:

    SciTech Connect (OSTI)

    Thornton, Jeff W.; McDowell, T. P.; Shonder, John A; Hughes, Patrick; Pahud, D.; Hellstrom, G.

    1997-06-01

    A detailed component-based simulation model of a geothermal heat pump system has been calibrated to monitored data taken from a family housing unit located at Fort Polk, Louisiana. The simulation model represents the housing unit, geothermal heat pump, ground heat exchanger, thermostat, blower, and ground-loop pump. Each of these component models was 'tuned' to better match the measured data from the site. These tuned models were then interconnect to form the system model. The system model was then exercised in order to demonatrate its capabilities.

  1. Residential vertical geothermal heat pump system models: Calibration to data

    SciTech Connect (OSTI)

    Thornton, J.W.; McDowell, T.P.; Shonder, J.A.; Hughes, P.J.; Pahud, D.; Hellstroem, G.A.J.

    1997-12-31

    A detailed component-based simulation model of a geothermal heat pump system has been calibrated to monitored data taken from a family housing unit located at Fort Polk, Louisiana. The simulation model represents the housing unit, geothermal heat pump, ground heat exchanger, thermostat, blower, and ground-loop pump. Each of these component models was tuned to better match the measured data from the site. These tuned models were then interconnected to form the system model. The system model was then exercised in order to demonstrate its capabilities.

  2. Computational Modelling in Systems and Synthetic Biology

    E-Print Network [OSTI]

    Romero-Campero, Francisco J.

    modules Networks Cells Colonies Systems Biology and Synthetic Biology #12;Stochasticity is important processes. Executable semantics. o Modularity in cellular systems, especially in gene regulatory networks been successfully applied. Monika Heiner, David Gilbert, Robin Donaldson. Petri Nets for Systems

  3. Simulation Models for Improved Water Heating Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2014-01-01

    System Piping Time, Water, and Energy Waste- Phase I: TestSystem Piping Time, Water, and Energy Waste - Phase II TestSystem Piping Time, Water, and Energy Waste— Phase III: Test

  4. Overview of ASC Capability Computing System Governance Model

    SciTech Connect (OSTI)

    Doebling, Scott W. [Los Alamos National Laboratory

    2012-07-11

    This document contains a description of the Advanced Simulation and Computing Program's Capability Computing System Governance Model. Objectives of the Governance Model are to ensure that the capability system resources are allocated on a priority-driven basis according to the Program requirements; and to utilize ASC Capability Systems for the large capability jobs for which they were designed and procured.

  5. Nonlinear Hybrid Dynamical Systems: Modeling, Optimal Control, and Applications

    E-Print Network [OSTI]

    Stryk, Oskar von

    Nonlinear Hybrid Dynamical Systems: Modeling, Optimal Control, and Applications Martin Buss1¨unchen, Germany Abstract. Nonlinear hybrid dynamical systems are the main focus of this paper. A modeling Introduction The recent interest in nonlinear hybrid dynamical systems has forced the merger of two very

  6. MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN

    E-Print Network [OSTI]

    Papalambros, Panos

    MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN OPTIMAL VEHICLE DESIGN from a market system approach that includes the ability to change vehicle design are most valuable&D investment. Additionally, integrating engineering design models in a market system context begins to provide

  7. Information Systems 23(3-4), June 1998. Information Modeling

    E-Print Network [OSTI]

    Mylopoulos, John

    - 1 - Information Systems 23(3-4), June 1998. Information Modeling in the Time of the Revolution1 resource, its modeling is serving as a core technology for information systems engineering. We present), and Requirements Analysis (Software Engineering and Information Systems). We then offer a characterization

  8. SOLAR SYSTEM MODELS WITH A SELECTED SET OF FREQUENCIES

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    SOLAR SYSTEM MODELS WITH A SELECTED SET OF FREQUENCIES G. G´OMEZ IEEC & Departament de Matem, such as a spacecraft or an asteroid, in the Solar System. The procedure is based on applying refined Fourier analysis that depend explicitly on nat- ural frequencies of the Solar System. Some examples of these new models

  9. Query Based UML Modeling Validation and Verification of the System Model and

    E-Print Network [OSTI]

    Austin, Mark

    1 Query Based UML Modeling Validation and Verification of the System Model and Behavior. UML/SysML was designed to provide simple but powerful constructs for modeling a wide range of systems for a Hydraulic Crane Denny Mathew ENPM 643 System Validation and Verification Instructor: Dr. Mark Austin Fall

  10. Causes and implications of persistent atmospheric carbon dioxide biases in Earth System Models

    E-Print Network [OSTI]

    2014-01-01

    2013), The Community Earth System Model: A framework forsimu- lations from 15 Earth System Models (ESMs) • Most ESMsdioxide biases in Earth System Models, J. Geophys. Res.

  11. 2003 Yerkes Summer Institute Day Lab 1 Solar System Model page-1 Building Models to Scale

    E-Print Network [OSTI]

    Collar, Juan I.

    2003 Yerkes Summer Institute Day Lab 1 ­ Solar System Model page-1 Building Models to Scale visualize our solar neighborhood? One way is to build a scale model. Take, for example, the model of a BMW Z Introduction Can you picture the dimensions of the solar system? Probably not. The sizes and distances involved

  12. Modeling Interregional Transmission Congestion in the National Energy Modeling System

    E-Print Network [OSTI]

    Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

    2006-01-01

    to a load center via a DC transmission line such that flowsD.C. 127 pages. Modeling Interregional Transmission

  13. Battery Thermal Management System Design Modeling (Presentation)

    SciTech Connect (OSTI)

    Kim, G-H.; Pesaran, A.

    2006-10-01

    Presents the objectives and motivations for a battery thermal management vehicle system design study.

  14. Hierarchical Modeling and Analysis of Embedded Systems

    E-Print Network [OSTI]

    Esposito, Joel M.

    concerning vehicle coordination. Keywords--Embedded control systems, formal analysis tools, hybrid systems, modular design. I. INTRODUCTION An embedded system typically consists of a collection of digital programs. This approach to system design largely ignores the problem of implementing control laws as a piece of software

  15. RELAP5 MODEL OF THE DIVERTOR PRIMARY HEAT TRANSFER SYSTEM

    SciTech Connect (OSTI)

    Popov, Emilian L [ORNL; Yoder Jr, Graydon L [ORNL; Kim, Seokho H [ORNL

    2010-08-01

    This report describes the RELAP5 model that has been developed for the divertor primary heat transfer system (PHTS). The model is intended to be used to examine the transient performance of the divertor PHTS and evaluate control schemes necessary to maintain parameters within acceptable limits during transients. Some preliminary results are presented to show the maturity of the model and examine general divertor PHTS transient behavior. The model can be used as a starting point for developing transient modeling capability, including control system modeling, safety evaluations, etc., and is not intended to represent the final divertor PHTS design. Preliminary calculations using the models indicate that during normal pulsed operation, present pressurizer controls may not be sufficient to keep system pressures within their desired range. Additional divertor PHTS and control system design efforts may be required to ensure system pressure fluctuation during normal operation remains within specified limits.

  16. Integrating Security and Systems Engineering: Towards the Modelling of Secure Information Systems

    E-Print Network [OSTI]

    Integrating Security and Systems Engineering: Towards the Modelling of Secure Information Systems for information systems. Traditionally, security is considered after the definition of the system. However the health sector to military. As the use of Information Systems arises, the demand to secure those systems

  17. Port-Hamiltonian systems: network modeling and control of nonlinear physical systems

    E-Print Network [OSTI]

    Schaft, Arjan van der

    Port-Hamiltonian systems: network modeling and control of nonlinear physical systems A.J. van der-Hamiltonian system with a controller port-Hamiltonian system, leading to a closed-loop port-Hamiltonian system. Finally, extensions to the distributed-parameter case are provided by formulating boundary control systems

  18. Self-Constructive High-Rate System Energy Modeling for Battery-Powered Mobile Systems

    E-Print Network [OSTI]

    Zhong, Lin

    of a system in the lab using high quality external power measurements. Such methods are not only laborSelf-Constructive High-Rate System Energy Modeling for Battery-Powered Mobile Systems Mian Dong, low power, mobile systems 1. Introduction An energy model estimates the energy consumption by a mobile

  19. Utility system integration and optimization models for nuclear power management

    E-Print Network [OSTI]

    Deaton, Paul Ferris

    1973-01-01

    A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...

  20. Modeling and Analysis of CSP Systems (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-08-01

    Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.

  1. Model Predictability-Form Lorenz System to Operational Ocean and

    E-Print Network [OSTI]

    Chu, Peter C.

    Model Predictability- Form Lorenz System to Operational Ocean and Atmospheric Models Peter C Chu. Poberezhny, 2002: Power law decay in model predictability skill. Geophysical Research Letters, 29 (15), 10 Six Months Four-Times Daily Data From July 9, 1998 for Verification #12;Model Generated Velocity

  2. Models used to assess the performance of photovoltaic systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Klise, Geoffrey T.

    2009-12-01

    This report documents the various photovoltaic (PV) performance models and software developed and utilized by researchers at Sandia National Laboratories (SNL) in support of the Photovoltaics and Grid Integration Department. In addition to PV performance models, hybrid system and battery storage models are discussed. A hybrid system using other distributed sources and energy storage can help reduce the variability inherent in PV generation, and due to the complexity of combining multiple generation sources and system loads, these models are invaluable for system design and optimization. Energy storage plays an important role in reducing PV intermittency and battery storage models are used to understand the best configurations and technologies to store PV generated electricity. Other researcher's models used by SNL are discussed including some widely known models that incorporate algorithms developed at SNL. There are other models included in the discussion that are not used by or were not adopted from SNL research but may provide some benefit to researchers working on PV array performance, hybrid system models and energy storage. The paper is organized into three sections to describe the different software models as applied to photovoltaic performance, hybrid systems, and battery storage. For each model, there is a description which includes where to find the model, whether it is currently maintained and any references that may be available. Modeling improvements underway at SNL include quantifying the uncertainty of individual system components, the overall uncertainty in modeled vs. measured results and modeling large PV systems. SNL is also conducting research into the overall reliability of PV systems.

  3. Modeling Interregional Transmission Congestion in the National Energy Modeling System

    E-Print Network [OSTI]

    Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

    2006-01-01

    cheapest availably supply cannot be used; therefore a less-congested system can lead to lower electricity

  4. NDA SYSTEM RESPONSE MODELING AND ITS APPLICATION

    SciTech Connect (OSTI)

    Vinson, D.

    2010-03-01

    The Portsmouth gaseous diffusion plant (PORTS) is a uranium enrichment facility that was historically used to enrich uranium to levels that range from 2% to greater than 97%. The feed material for PORTS was obtained from the Paducah Gaseous Diffusion Plant (PGDP) that produced uranium in the form of UF6 that was enriched to about 1 to 2%. The enrichment process involves a multistage process by which gaseous UF{sub 6} passed through a diffusion barrier in each stage. The porous diffusion barrier in each stage retards the rate of the diffusion of the heavier {sup 238}U atoms relative to the diffusion of the lighter {sup 235}U atoms. By this process the product stream is slightly enriched by each stage of the process. Each stage consists of a compressor, converter and a motor. There are more than 4000 stages that are linked together with piping of various diameters to form the PORTS cascade. The cascade spans three interconnected buildings and comprises miles of piping, thousands of seals, converters, valves, motors, and compressors. During operation, PORTS process equipment contained UF{sub 6} gas with uranium enrichment that increased in the process stream from the first to the last stage in a known manner. Gaseous UF{sub 6} moving through the PORTS process equipment had potential to form deposits within the process equipment by several mechanisms, including solidification due to incorrect temperature and pressure conditions during the process, inleakage of atmospheric moisture that chemically reacts with UF{sub 6} to form hydrated uranyl fluoride solids, reduction reactions of UF{sub 6} with cascade metals, and UF{sub 6} condensation on the internal equipment surfaces. As a result, the process equipment of the PORTS contains a variable and unknown quantity of uranium with variable enrichment that has been deposited within the equipment during plant operations. The exact chemical form of this uranium is variable, although it is expected that the bulk of the material is of the form of uranyl fluoride that will become hydrated on exposure to moisture in air when the systems are no longer buffered. The deposit geometry and thickness is uncertain and variable. However, a reasonable assessment of the level of material holdup in this equipment is necessary to support decommissioning efforts. The assessment of nuclear material holdup in process equipment is a complex process that requires integration of process knowledge, nondestructive assay (NDA) measurements, and computer modeling to maximize capabilities and minimize uncertainty. The current report is focused on the use of computer modeling and simulation of NDA measurements.

  5. Surrogate modeling for large-scale black-box systems

    E-Print Network [OSTI]

    Liem, Rhea Patricia

    2007-01-01

    This research introduces a systematic method to reduce the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, ...

  6. Applications of axial and radial compressor dynamic system modeling

    E-Print Network [OSTI]

    Spakovszky, Zoltán S. (Zoltán Sándor), 1972-

    2001-01-01

    The presented work is a compilation of four different projects related to axial and centrifugal compression systems. The projects are related by the underlying dynamic system modeling approach that is common in all of them. ...

  7. Model Abstraction Techniques for Large-Scale Power Systems

    E-Print Network [OSTI]

    Report on System Simulation using High Performance Computing Prepared by New Mexico Tech New Mexico: Application of High Performance Computing to Electric Power System Modeling, Simulation and Analysis Task Two

  8. EMPIRICAL MODELLING OF WINDTHROW RISK USING GEOGRAPHIC INFORMATION SYSTEMS

    E-Print Network [OSTI]

    Mitchell, Stephen

    EMPIRICAL MODELLING OF WINDTHROW RISK USING GEOGRAPHIC INFORMATION SYSTEMS by CLAYFIELD ODARKOR. Using ArcView Geographic Information System (GIS), a total of 22,304 forested segments were obtained

  9. 15.094 Systems Optimization: Models and Computation, Spring 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. ...

  10. Model reduction for nonlinear dynamical systems with parametric uncertainties

    E-Print Network [OSTI]

    Zhou, Yuxiang Beckett

    2012-01-01

    Nonlinear dynamical systems are known to be sensitive to input parameters. In this thesis, we apply model order reduction to an important class of such systems -- one which exhibits limit cycle oscillations (LCOs) and ...

  11. Bond graph models of electromechanical systems. The AC generator case

    E-Print Network [OSTI]

    Batlle, Carles

    Bond graph models of electromechanical systems. The AC generator case Carles Batlle Department. After reviewing electromechanical energy conversion and torque gener- ation, the core element present in any electromechanical system is introduced, and the corresponding electrical and mechanical ports

  12. NOTES TOWARD A MODEL FOR THE STRUCTURE OF KNOWLEDGE SYSTEMS

    E-Print Network [OSTI]

    Futrell, Richard H.

    1972-10-01

    This paper reviews two formulations of some structural aspects of knowledge systems. These two structural specifications of knowledge systems, by Judith Willer and by Norwood Russell Hanson, are then combined to suggest a model for relating several...

  13. Steady state load models for power system analysis 

    E-Print Network [OSTI]

    Cresswell, Charles

    2009-01-01

    The last full review of load models used for power system studies occurred in the 1980s. Since then, new types of loads have been introduced and system load mix has changed considerably. The examples of newly introduced ...

  14. Discovering Statistical Models of Availability in Large Distributed Systems

    E-Print Network [OSTI]

    Kondo, Derrick

    1 Discovering Statistical Models of Availability in Large Distributed Systems: An Empirical Study. Invariably, these systems are composed of heterogeneous hosts whose individual availability often exhibit describe an effective method for discovering subsets of hosts whose availability have similar statistical

  15. Simulation Models for Improved Water Heating Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2014-01-01

    Air Conditioners. Arthur D. Little, Cambridge, Mass. No.Model User’s Guide. Arthur D. Little, Cambridge, Mass. DE-described in the Arthur D. Little model will serve as the

  16. Modeling technical systems Tasks 1 Franz Wotawa

    E-Print Network [OSTI]

    : Solve the following 3 examples. For this purpose invent a model written in Modelica and simulate it not use the pre-defined models from the Modelica standard libraries. Simulate the filters using different

  17. Modelling the Evolution of Communication Systems 

    E-Print Network [OSTI]

    Spike, Matthew John

    2012-11-28

    An framework using exemplar theory is used to recreate a number of published models of the evolution of communication. This is then used to examine the mechanics behind models of observational, feedback and reinforcement ...

  18. Solar system constraints on f(G) gravity models

    E-Print Network [OSTI]

    Antonio De Felice; Shinji Tsujikawa

    2009-07-10

    We discuss solar system constraints on f(G) gravity models, where f is a function of the Gauss-Bonnet term G. We focus on cosmologically viable f(G) models that can be responsible for late-time cosmic acceleration. These models generally give rise to corrections of the form epsilon*(r/rs)^p to the vacuum Schwarzschild solution, where epsilon = H^2 rs^2 solar system constraints for a wide range of model parameters.

  19. Experimental Studies for DPF and SCR Model, Control System, and...

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

    Model, Control System, and OBD Development for Engines Using Diesel and Biodiesel Fuels Measuring PM Distribution in a Catalyzed Particulate Filter using a Terahertz Wave Scanner...

  20. Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...

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

    and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells. View the Overview Fact Sheet and Individual Summaries Overview Fact...

  1. Reference Model for Control and Automation Systems in Electrical...

    Office of Environmental Management (EM)

    Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason...

  2. A Scalable and Extensible Earth System Model for Climate Change...

    Office of Scientific and Technical Information (OSTI)

    Scalable and Extensible Earth System Model for Climate Change Science Gent, Peter; Lamarque, Jean-Francois; Conley, Andrew; Vertenstein, Mariana; Craig, Anthony 54 ENVIRONMENTAL...

  3. Hybrid Statistical Model Checking Technique for Reliable Safety Critical Systems

    E-Print Network [OSTI]

    @cs.kaist.ac.kr Abstract--Reliability of safety critical systems such as nuclear power plants and automobiles has become1 Hybrid Statistical Model Checking Technique for Reliable Safety Critical Systems Youngjoo Kim a significant issue to our society. As more computing systems are utilized in these safety critical systems

  4. Modeling Techniques for a Risk Analysis Methodology for Software Systems

    E-Print Network [OSTI]

    instrumentation and control (I&C) systems for nuclear power plant system upgrades. (Arndt 2002) These approaches for nuclear power plant system upgrades. These approaches are directed towards analyzing the change in risk, System Modeling, UML, Z, EVES, Fault Trees #12;3 Abstract The U.S. Nuclear Regulatory Commission (NRC

  5. The Community Climate System Model Version 4

    SciTech Connect (OSTI)

    Gent, Peter R.; Danabasoglu, Gokhan; Donner, Leo J.; Holland, Marika M.; Hunke, Elizabeth C.; Jayne, Steve R.; Lawrence, David M.; Neale, Richard; Rasch, Philip J.; Vertenstein, Mariana; Worley, Patrick; Yang, Zong-Liang; Zhang, Minghua

    2011-10-01

    The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all the CCSM components, and documents fully coupled pre-industrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1{sup o} results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4{sup o} resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in the CCSM4 producing El Nino/Southern Oscillation variability with a much more realistic frequency distribution than the CCSM3, although the amplitude is too large compared to observations. They also improve the representation of the Madden-Julian Oscillation, and the frequency distribution of tropical precipitation. A new overflow parameterization in the ocean component leads to an improved simulation of the deep ocean density structure, especially in the North Atlantic. Changes to the CCSM4 land component lead to a much improved annual cycle of water storage, especially in the tropics. The CCSM4 sea ice component uses much more realistic albedos than the CCSM3, and the Arctic sea ice concentration is improved in the CCSM4. An ensemble of 20th century simulations runs produce an excellent match to the observed September Arctic sea ice extent from 1979 to 2005. The CCSM4 ensemble mean increase in globally-averaged surface temperature between 1850 and 2005 is larger than the observed increase by about 0.4 C. This is consistent with the fact that the CCSM4 does not include a representation of the indirect effects of aerosols, although other factors may come into play. The CCSM4 still has significant biases, such as the mean precipitation distribution in the tropical Pacific Ocean, too much low cloud in the Arctic, and the latitudinal distributions of short-wave and long-wave cloud forcings.

  6. 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.

  7. Generic solar photovoltaic system dynamic simulation model specification.

    SciTech Connect (OSTI)

    Ellis, Abraham; Behnke, Michael Robert; Elliott, Ryan Thomas

    2013-10-01

    This document is intended to serve as a specification for generic solar photovoltaic (PV) system positive-sequence dynamic models to be implemented by software developers and approved by the WECC MVWG for use in bulk system dynamic simulations in accordance with NERC MOD standards. Two specific dynamic models are included in the scope of this document. The first, a Central Station PV System model, is intended to capture the most important dynamic characteristics of large scale (> 10 MW) PV systems with a central Point of Interconnection (POI) at the transmission level. The second, a Distributed PV System model, is intended to represent an aggregation of smaller, distribution-connected systems that comprise a portion of a composite load that might be modeled at a transmission load bus.

  8. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01

    This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

  9. Simulation Models for Improved Water Heating Systems

    E-Print Network [OSTI]

    Lutz, Jim

    2014-01-01

    E. Inc. 1990. “Residential Water Heating Study: TechnicalScott. 2007. “HWSIM Hot Water Distribution Model Validationand Simulation of a Smart Water Heater. ” In Workshop in

  10. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01

    of the central heating plant, with measurements of water temperatures and flow rates is used to adjust the parameters of the boiler model....

  11. Supercomputer Piz Daint, so genannt nach ei-nem Berg in Val Mstair im Graubnden, hat bei

    E-Print Network [OSTI]

    Peak Performance 7.787 Petaflops Memory Capacity per node 32 GB (DDR3-1600); 6 GB non-ECC GDDR5 Memory Bandwidth per node 51.2 GB/s DDR3 ; 250.0 GB/s non-ECC GDDR5 Total System Memory 169 TB DDR3; 32 TB non

  12. Proposal full title: Comprehensive Modelling of the Earth System for

    E-Print Network [OSTI]

    Couvreux, Fleur

    .....................................................................................................................7 1.1.4 Earth System Model Ensemble-scale integrating project Work programme topics addressed: ENV.2008.1.1.4.1. New components in Earth System modelling for better climate projections Name of the coordinating person: Marco Giorgetta List

  13. Mae A System Model and Environment for Managing Architectural Evolution

    E-Print Network [OSTI]

    Medvidovic, Nenad

    -3425 USA andre@ics.uci.edu ABSTRACT As with any other artifact produced as part of the software life cycle projects. Keywords Software architecture, configuration management, evolution, system model, design envi1 Mae ­ A System Model and Environment for Managing Architectural Evolution Roshanak Roshandel

  14. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

    E-Print Network [OSTI]

    Olshausen, Bruno

    Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Peter Dayan: Computational and Mathematical Modeling of Neural Systems. The emergence of this book represents more than- scientist was brought up on ``Kandel and Schwartz.'' Now, at last, the field of computational neuroscience

  15. MODELING INFRASTRUCTURE FOR A FOSSIL HYDROGEN ENERGY SYSTEM

    E-Print Network [OSTI]

    MODELING INFRASTRUCTURE FOR A FOSSIL HYDROGEN ENERGY SYSTEM WITH CO2 SEQUESTRATION Joan M. Ogden demand centers and CO2 sequestration sites. MODEL OF A FOSSIL HYDROGEN ENERGY SYSTEM WITH CO2 Production of hydrogen (H2) from fossil fuels with capture and sequestration of CO2 offers a route toward

  16. Aircraft AC Generators: Hybrid System Modeling and Simulation

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    generator, phase-domain model, synchronous AC generator. I. INTRODUCTION The Integrated Drive Generator (IDG1 Aircraft AC Generators: Hybrid System Modeling and Simulation Ashraf Tantawy, Student Member--Integrated Drive Generators (IDGs) are the main source of electrical power for a number of critical systems

  17. Climate Sensitivity of the Community Climate System Model Version 4

    E-Print Network [OSTI]

    Bitz, Cecilia

    Climate Sensitivity of the Community Climate System Model Version 4 C. M. Bitz 1 , K.M. Shell 2 , P. Equilibrium climate sensitivity of the Community Climate System Model Version 4 (CCSM4) is 3.20 C for 1 version (CCSM3). The transient climate sensitivity of CCSM4 at 1 resolution is 1.72 C, which is about 0

  18. Battery Model for Embedded Systems , Gaurav Singhal

    E-Print Network [OSTI]

    Navet, Nicolas

    in design of mobile embedded sys- tems today is the battery lifetime for a given size and weight in the energy densities of the battery technologies, estimating the lifetime and energy delivered by the battery applications. Stochastic battery models [6, 8] have also been proposed which are faster than to the PDE model

  19. Detailed Performance Model for Photovoltaic Systems: Preprint

    SciTech Connect (OSTI)

    Tian, H.; Mancilla-David, F.; Ellis, K.; Muljadi, E.; Jenkins, P.

    2012-07-01

    This paper presents a modified current-voltage relationship for the single diode model. The single-diode model has been derived from the well-known equivalent circuit for a single photovoltaic cell. The modification presented in this paper accounts for both parallel and series connections in an array.

  20. Mathematical modeling and computer simulation of processes in energy systems

    SciTech Connect (OSTI)

    Hanjalic, K.C. )

    1990-01-01

    This book is divided into the following chapters. Modeling techniques and tools (fundamental concepts of modeling); 2. Fluid flow, heat and mass transfer, chemical reactions, and combustion; 3. Processes in energy equipment and plant components (boilers, steam and gas turbines, IC engines, heat exchangers, pumps and compressors, nuclear reactors, steam generators and separators, energy transport equipment, energy convertors, etc.); 4. New thermal energy conversion technologies (MHD, coal gasification and liquefaction fluidized-bed combustion, pulse-combustors, multistage combustion, etc.); 5. Combined cycles and plants, cogeneration; 6. Dynamics of energy systems and their components; 7. Integrated approach to energy systems modeling, and 8. Application of modeling in energy expert systems.

  1. WATER DATA MANAGEMENT SYSTEMS INTEGRATIONS WITH MODELS

    E-Print Network [OSTI]

    Rhode Island, University of

    Acquisition (SCADA) system that can control operations in treatment plants, as well as continuously check and SCADA interfaces for even more integrated analyses, which is important since many suppliers are implementing SCADA systems. However, only about thirty-five (35) percent of the suppliers have a functioning

  2. System-of-Systems Approach for Integrated Energy Systems Modeling and Simulation: Preprint

    SciTech Connect (OSTI)

    Mittal, Saurabh; Ruth, Mark; Pratt, Annabelle; Lunacek, Monte; Krishnamurthy, Dheepak; Jones, Wesley

    2015-08-21

    Today’s electricity grid is the most complex system ever built—and the future grid is likely to be even more complex because it will incorporate distributed energy resources (DERs) such as wind, solar, and various other sources of generation and energy storage. The complexity is further augmented by the possible evolution to new retail market structures that provide incentives to owners of DERs to support the grid. To understand and test new retail market structures and technologies such as DERs, demand-response equipment, and energy management systems while providing reliable electricity to all customers, an Integrated Energy System Model (IESM) is being developed at NREL. The IESM is composed of a power flow simulator (GridLAB-D), home energy management systems implemented using GAMS/Pyomo, a market layer, and hardware-in-the-loop simulation (testing appliances such as HVAC, dishwasher, etc.). The IESM is a system-of-systems (SoS) simulator wherein the constituent systems are brought together in a virtual testbed. We will describe an SoS approach for developing a distributed simulation environment. We will elaborate on the methodology and the control mechanisms used in the co-simulation illustrated by a case study.

  3. Systems and methods for modeling and analyzing networks

    DOE Patents [OSTI]

    Hill, Colin C; Church, Bruce W; McDonagh, Paul D; Khalil, Iya G; Neyarapally, Thomas A; Pitluk, Zachary W

    2013-10-29

    The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.

  4. Process Model Discovery: A Method Based on Transition System Decomposition

    E-Print Network [OSTI]

    van der Aalst, Wil

    Process Model Discovery: A Method Based on Transition System Decomposition Anna A. Kalenkova1 discovery algo- rithms deal with large data sets to learn automatically process models. As more event data by the unified process model. The proposed discovery algorithm is illustrated using a running example. 1

  5. Model discrimination for dephasing two-level systems

    E-Print Network [OSTI]

    Erling Gong; Weiwei Zhou; Sophie Schirmer

    2014-12-13

    The problem of model discriminability and parameter identifiability for dephasing two-level systems subject to Hamiltonian control is studied. Analytic solutions of the Bloch equations are used to derive explicit expressions for observables as functions of time for different models. This information is used to give criteria for model discrimination and parameter estimation based on simple experimental paradigms.

  6. IDENTIFICATION OF RELIABLE PREDICTOR MODELS FOR UNKNOWN SYSTEMS: A

    E-Print Network [OSTI]

    Campi, Marco

    IDENTIFICATION OF RELIABLE PREDICTOR MODELS FOR UNKNOWN SYSTEMS: A DATA-CONSISTENCY APPROACH BASED mechanism ­ DGM), a selected family of models, with which we want to describe the observed data (the data, that is a statement of probability that the computed model will be consistent with future unknown data. Keywords

  7. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect (OSTI)

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

    2013-12-01

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

  8. Water Rights Analysis Package (WRAP) Daily Modeling System 

    E-Print Network [OSTI]

    Wurbs, R.; Hoffpauir, R.

    2012-10-01

    Modeling System TR-430 Texas Water Resources Institute College Station, Texas August 2012 by Ralph A. Wurbs and Richard J. Hoffpauir Texas A&M University Water Rights Analysis Package (WRAP) Daily Modeling System...-9-89809 (2008-2011) Contract 582-12-10220 (2011-2013) Technical Report No. 430 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 August 2012 ii iii TABLE OF CONTENTS Chapter 1 Water...

  9. Multiscale modeling of clay-water systems

    E-Print Network [OSTI]

    Ebrahimi, Davoud

    2014-01-01

    The engineering properties of soils are highly affected by clay content and clay-water interactions. However, existing macro-scale continuum models have no length scale to describe the evolution of the clay microstructure ...

  10. Modeling technical systems Task 3 Franz Wotawa

    E-Print Network [OSTI]

    : Task 3 comprises a written report including the Modelica files and an oral presentation where the task in abductive diagnosis from the Modelica model (potentially in an automated way)? Answer this question

  11. Modelling TOVS radiances of synoptic systems 

    E-Print Network [OSTI]

    Coe, Thomas Eddy

    1992-01-01

    compared against observed satellite radiances by ~ing the analyzed variables into synthetic radiances using a radiative transfer model (~) . Gtme~ 'IOVS satellite radiances are used as a grourd truth, since they are the only scurce of continuous... information similar to the satellite observations. ~ is often too noisy, producing features not verified by the satellite; NMC is often too smooth. NMC more closely resembles the TOVS contours. Modelled water vapor channel analyses resemble observed monthly...

  12. Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics Vladimir Shestak1 in parallel computer systems (including heterogeneous clusters) should be allocated to the computational was supported by the Colorado State University Center for Robustness in Computer Systems (funded by the Colorado

  13. "Creating computational models of biological systems to better combat

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    "Creating computational models of biological systems to better combat dangerous pathogens and human of Biomedical Engineering University of Virginia Charlottesville, VA 434.924.8195 Computational Systems Biology system in biofuel and nutraceutical production. With the aid of computational techniques, we can predict

  14. Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems

    E-Print Network [OSTI]

    Rubloff, Gary W.

    Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems Suxin Qian level. However, a thermoelastic cooling system integrated with heat transfer fluid loops have not been;2012) (a.k.a. elastocaloric cooling). These solid-state cooling systems offer us alternatives to eliminate

  15. Model checking LTL over controllable linear systems is decidable

    E-Print Network [OSTI]

    Pappas, George J.

    Model checking LTL over controllable linear systems is decidable Paulo Tabuada and George J. Pappas Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia, PA 19104 {tabuadap,pappasg}@seas.upenn.edu Abstract. The use of algorithmic verification and synthesis tools for hy- brid systems is currently limited

  16. Parameterized Model Order Reduction of Nonlinear Dynamical Systems

    E-Print Network [OSTI]

    Reif, Rafael

    Parameterized Model Order Reduction of Nonlinear Dynamical Systems Brad Bond Research Laboratory reduction technique for non-linear systems. Our approach combines an existing non-parameterized trajectory piecewise linear method for non-linear systems, with an existing moment matching param- eterized technique

  17. Simple Models of Complex Systems Deepak Dhar

    E-Print Network [OSTI]

    Dhar, Deepak

    of Fundamental Research, Homi Bhabha Road, Mumbai 400005, India (Dated: June 12, 2010) PACS numbers: 05.65.+b, 05-known examples of systems with few degrees of freedom that undergo deterministic evolution, e.g. the logistic map

  18. Wilis: Architectural Modeling of Wireless Systems

    E-Print Network [OSTI]

    Fleming, Kermin Elliott

    The performance of a wireless system depends on the wireless channel as well as the algorithms used in the transceiver pipelines. Because physical phenomena affect transceiver pipelines in difficult to predict ways, detailed ...

  19. Factory Models for Manufacturing Systems Engineering

    E-Print Network [OSTI]

    Gershwin, Stanley B.

    We review MIT research in manufacturing systems engineering, and we describe current and possible future research activities in this area. This includes advances in decomposition techniques, optimization, token-based control ...

  20. MODELING SECURITY IN CYBER-PHYSICAL SYSTEMS

    E-Print Network [OSTI]

    Burmester, Mike

    network at the Davis-Besse nuclear power plant in Oak Harbor, Ohio, was infected [39]. There have been) sys- tems that monitor power, gas/oil transportation, water and waste-water distribution. Such systems

  1. Modeling of underfloor air distribution (UFAD) systems.

    E-Print Network [OSTI]

    Webster, Tom; Bauman, Fred; Buhl, Fred; Daly, Allan

    2008-01-01

    P. Linden, 2008. “The EnergyPlus UFAD Module. ” ProceedingsProject: Special Version of EnergyPlus for York Test RoomSystems using the EnergyPlus Simulation Software. ” Master’s

  2. Performance Modeling of Intelligent Car Parking Systems

    E-Print Network [OSTI]

    Telek, Miklós

    introduction at the beginning of the century [2], the smart city concept enjoys an enormous attention from. In an intelligent car parking system the driver selects its destination on a smart- phone application when entering

  3. Thermodynamic Modeling of a Membrane Dehumidification System 

    E-Print Network [OSTI]

    Bynum, John 1983-

    2012-11-28

    In warm and humid climates, a primary source of building energy consumption is dehumidification of conditioned air supplied to the building spaces. The proposed system utilizes a selective membrane to remove water vapor ...

  4. System Level Platform Modeling for System-on-Chip

    E-Print Network [OSTI]

    is needed. In this project, SoC performance estimation techniques are explored, focusing on processor for a given application. To do so, however, fast and accurate estimation of each design's performance-based platforms. A flex- ible methodology, the SoC Platform Architecture Model (SPAM), is developed for specifying

  5. Understanding Energy Models and Modeling (ENV 715) Spring 2013 Tuesday/Thursday 10:05-11:20 am

    E-Print Network [OSTI]

    Ferrari, Silvia

    topics for Congress, and publishes the Annual Energy Outlook. At Duke, NI-NEMS has recently been used1 Understanding Energy Models and Modeling (ENV 715) Spring 2013 Tuesday/Thursday 10:05-11:20 am) Course Description and Learning Objectives Energy models are widely used for policy analysis, scenario

  6. Historical and idealized climate model experiments: an intercomparison of Earth system models of intermediate complexity

    E-Print Network [OSTI]

    Monier, Erwan

    Both historical and idealized climate model experiments are performed with a variety of Earth system models of intermediate complexity (EMICs) as part of a community contribution to the Intergovernmental Panel on Climate ...

  7. Wetland model in an earth systems modeling framework for regional environmental policy analysis

    E-Print Network [OSTI]

    Awadalla, Sirein Salah

    2011-01-01

    The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...

  8. The Community Earth System Model: A Framework for Collaborative Research

    SciTech Connect (OSTI)

    Hurrell, Jim; Holland, Marika M.; Gent, Peter R.; Ghan, Steven J.; Kay, Jennifer; Kushner, P.; Lamarque, J.-F.; Large, William G.; Lawrence, David M.; Lindsay, Keith; Lipscomb, William; Long , Matthew; Mahowald, N.; Marsh, D.; Neale, Richard; Rasch, Philip J.; Vavrus, Steven J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James; Kiehl, J. T.; Marshall, Shawn

    2013-09-30

    The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of earth system interactions across multiple time and space scales. This global coupled model is a natural evolution from its predecessor, the Community Climate System Model, following the incorporation of new earth system capabilities. These include the ability to simulate biogeochemical cycles, atmospheric chemistry, ice sheets, and a high-top atmosphere. These and other new model capabilities are enabling investigations into a wide range of pressing scientific questions, providing new predictive capabilities and increasing our collective knowledge about the behavior and interactions of the earth system. Simulations with numerous configurations of the CESM have been provided to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and are being analyzed by the broader community of scientists. Additionally, the model source code and associated documentation are freely available to the scientific community to use for earth system studies, making it a true community tool. Here we describe this earth modeling system, its various possible configurations, and illustrate its capabilities with a few science highlights.

  9. Design theoretic analysis of three system modeling frameworks.

    SciTech Connect (OSTI)

    McDonald, Michael James

    2007-05-01

    This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.

  10. Functional Modeling Compiler for System-Level Design of Automotive Cyber-Physical Systems

    E-Print Network [OSTI]

    Al Faruque, Mohammad Abdullah

    Functional Modeling Compiler for System-Level Design of Automotive Cyber-Physical Systems Presented A typical Cyber-Physical System (CPS) such as the modern automotive includes not only the physical domains. An example of CPS: a modern automotive More than 70 ECUs More than 5 bus systems More than 10

  11. Modeling technical systems Task 2 Franz Wotawa

    E-Print Network [OSTI]

    : Develop a model for a boost converter used for converting DC to DC in an efficient way. For information regarding boost converters have a look at e.g. http://en.wikipedia.org/wiki/Boost converter. Note and solvers. On the next pages you find more information about boost converters (but only in German): 2 #12

  12. Augmented Network Model For Engineering System Design

    E-Print Network [OSTI]

    de Weck, Olivier L.

    can have different capacities and costs, maintenance routines, dynamics. Link existence can vary design". Various fields have applied network modeling to engineering applications, such as operations, with their network description and brief discussion of simple network statistics. Then, we describe in detail one

  13. A nuclear data acquisition system flow control model

    SciTech Connect (OSTI)

    Hack, S.N.

    1988-02-01

    A general Petri Net representation of a nuclear data acquisition system model is presented. This model provides for the unique requirements of a nuclear data acquisition system including the capabilities of concurrently acquiring asynchronous and synchronous data, of providing multiple priority levels of flow control arbitration, and of permitting multiple input sources to reside at the same priority without the problem of channel lockout caused by a high rate data source. Finally, a previously implemented gamma camera/physiological signal data acquisition system is described using the models presented.

  14. Integrated Baseline System (IBS) Version 2.0: Models guide

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    The Integrated Baseline System (IBS) is an emergency management planning and analysis tool being developed under the direction of the US Army Nuclear and Chemical Agency. This Models Guide summarizes the IBS use of several computer models for predicting the results of emergency situations. These include models for predicting dispersion/doses of airborne contaminants, traffic evacuation, explosion effects, heat radiation from a fire, and siren sound transmission. The guide references additional technical documentation on the models when such documentation is available from other sources. The audience for this manual is chiefly emergency management planners and analysts, but also data managers and system managers.

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

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPAEnergy6-09.docAERMOD-PRIME, Units 4, 1,RidgeModel Fire|of|

  16. Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities

    SciTech Connect (OSTI)

    Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina

    2012-09-01

    The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.

  17. Modeling for System Integration Studies (Presentation)

    SciTech Connect (OSTI)

    Orwig, K. D.

    2012-05-01

    This presentation describes some the data requirements needed for grid integration modeling and provides real-world examples of such data and its format. Renewable energy integration studies evaluate the operational impacts of variable generation. Transmission planning studies investigate where new transmission is needed to transfer energy from generation sources to load centers. Both use time-synchronized wind and solar energy production and load as inputs. Both examine high renewable energy penetration scenarios in the future.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model forTechnologies95Symerton, Illinois:EV

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model forTechnologies95Symerton, Illinois:EV

  20. Modeling mesoscopic phenomena in extended dynamical systems

    SciTech Connect (OSTI)

    Bishop, A.; Lomdahl, P.; Jensen, N.G.; Cai, D.S. [Los Alamos National Lab., NM (United States); Mertenz, F. [Bayreuth Univ. (Germany); Konno, Hidetoshi [Tsukuba Univ., Ibaraki (Japan); Salkola, M. [Stanford Univ., CA (United States)

    1997-08-01

    This is the final report of a three-year, Laboratory-Directed Research and Development project at the Los Alamos National Laboratory (LANL). We have obtained classes of nonlinear solutions on curved geometries that demonstrate a novel interplay between topology and geometric frustration relevant for nanoscale systems. We have analyzed the nature and stability of localized oscillatory nonlinear excitations (multi-phonon bound states) on discrete nonlinear chains, including demonstrations of successful perturbation theories, existence of quasiperiodic excitations, response to external statistical time-dependent fields and point impurities, robustness in the presence of quantum fluctuations, and effects of boundary conditions. We have demonstrated multi-timescale effects for nonlinear Schroedinger descriptions and shown the success of memory function approaches for going beyond these approximations. In addition we have developed a generalized rate-equation framework that allows analysis of the important creation/annihilation processes in driven nonlinear, nonequilibiium systems.

  1. Dynamical Modelling of Hot Stellar Systems

    E-Print Network [OSTI]

    David Merritt

    1995-10-30

    Estimation of the distribution function f and potential Phi of hot stellar systems from kinematical data is discussed. When the functional forms of f and Phi are not specified a priori, accurate estimation of either function requires very high quality data: either accurate ``line profiles'' at radii extending well beyond an effective radius, or large samples of discrete radial velocities. Estimates of Phi(r) based on much smaller data sets can be very strongly influenced by assumptions, explicit or implicit, about the form of f. The importance of casting the estimation problem into a mathematically determined form is stressed. Some techniques for nonparametric estimation are presented, with some preliminary results of their application to real stellar systems.

  2. A New Model to Simulate Energy Performance of VRF Systems

    SciTech Connect (OSTI)

    Hong, Tianzhen; Pang, Xiufeng; Schetrit, Oren; Wang, Liping; Kasahara, Shinichi; Yura, Yoshinori; Hinokuma, Ryohei

    2014-03-30

    This paper presents a new model to simulate energy performance of variable refrigerant flow (VRF) systems in heat pump operation mode (either cooling or heating is provided but not simultaneously). The main improvement of the new model is the introduction of the evaporating and condensing temperature in the indoor and outdoor unit capacity modifier functions. The independent variables in the capacity modifier functions of the existing VRF model in EnergyPlus are mainly room wet-bulb temperature and outdoor dry-bulb temperature in cooling mode and room dry-bulb temperature and outdoor wet-bulb temperature in heating mode. The new approach allows compliance with different specifications of each indoor unit so that the modeling accuracy is improved. The new VRF model was implemented in a custom version of EnergyPlus 7.2. This paper first describes the algorithm for the new VRF model, which is then used to simulate the energy performance of a VRF system in a Prototype House in California that complies with the requirements of Title 24 ? the California Building Energy Efficiency Standards. The VRF system performance is then compared with three other types of HVAC systems: the Title 24-2005 Baseline system, the traditional High Efficiency system, and the EnergyStar Heat Pump system in three typical California climates: Sunnyvale, Pasadena and Fresno. Calculated energy savings from the VRF systems are significant. The HVAC site energy savings range from 51 to 85percent, while the TDV (Time Dependent Valuation) energy savings range from 31 to 66percent compared to the Title 24 Baseline Systems across the three climates. The largest energy savings are in Fresno climate followed by Sunnyvale and Pasadena. The paper discusses various characteristics of the VRF systems contributing to the energy savings. It should be noted that these savings are calculated using the Title 24 prototype House D under standard operating conditions. Actual performance of the VRF systems for real houses under real operating conditions will vary.

  3. Reliability Modeling and Evaluation in Aging Power Systems 

    E-Print Network [OSTI]

    Kim, Hag-Kwen

    2010-01-14

    Carlo simulation is introduced. Power Law Process is modeled as the failure rate function of aging components. Power system reliability analysis can be made at the generation capacity level where transmission constraints may be included. The simulation...

  4. Testing the Integrated Emotions Systems Model of Psychopahty 

    E-Print Network [OSTI]

    McIntosh, John

    2009-07-20

    This study attempted to test the predictions of the Integrated Emotions System model as a candidate neurological mechanism behind the symptoms of Psychopathy. The experiment compared scores of the PPI to performance on a ...

  5. Analysis of Attic Radiant Barrier Systems Using Mathematical Models 

    E-Print Network [OSTI]

    Fairey, P.; Swami, M.

    1988-01-01

    During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...

  6. Review and evaluation of national airspace system models

    E-Print Network [OSTI]

    Odoni, Amedeo R.

    1979-01-01

    Abstract from Technical Report Documentation Page: This report is intended to serve as a guide to the availability and capability of state-of-the-art analytical and simulation models of the National Airspace System (NAS). ...

  7. Model checking infinite-state systems: generic and specific approaches 

    E-Print Network [OSTI]

    To, Anthony Widjaja

    2010-01-01

    Model checking is a fully-automatic formal verification method that has been extremely successful in validating and verifying safety-critical systems in the past three decades. In the past fifteen years, there has been ...

  8. Neutrons used to study model vascular systems

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic(MillionNature andNeutrinosNeutrons used to study model

  9. Simple model of photo acoustic system for greenhouse effect

    E-Print Network [OSTI]

    Fukuhara, Akiko; Ogawa, Naohisa

    2010-01-01

    The simple theoretical basis for photo acoustic (PA) system for studying infrared absorption properties of greenhouse gases is constructed. The amplitude of sound observed in PA depends on the modulation frequency of light pulse. Its dependence can be explained by our simple model. According to this model, sound signal has higher harmonics. The theory and experiment are compared in third and fifth harmonics by spectrum analysis. The theory has the analogy with electric circuits. This analogy helps students for understanding the PA system.

  10. Trends in modeling Biomedical Complex Systems

    E-Print Network [OSTI]

    2009-10-15

    or if they are consequences of amore far-reaching metabolic derangement. A number of mar- kers of systemic inflammation, including C-reactive protein, are often increased, as are fibrinogen, interleukin 6 (IL-6), Tumor necrosis factor-alpha (TNFa) and others. Some have... cardiomyocytes by global mRNA amplification as well as quantification of mRNA levels in a panel of housekeeping and heart- specific genes increase in the old age compared to the young one [6]. The understanding of the aging process raises the question...

  11. Chemical and Physical Properties of Nanomaterials for Model Catalytic Systems and Smart Polymer Membranes 

    E-Print Network [OSTI]

    Skiles, Stephanie Lyn

    2014-10-24

    . These systems can be developed and tested using model catalyst systems. Herein, two model systems were investigated: a supported cobalt nanoparticle catalyst and a bimetallic palladium-copper system. In the cobalt system, the smallest particles are oxidized...

  12. Applications of Ontologies for Assembling Simulation Models of Industrial Systems

    E-Print Network [OSTI]

    industrial plant man- ually, which is time-consuming and error-prone. We propose to use a semi-automated models, industrial automation, SPARQL querying, design and integration 1 Introduction Modern industrialApplications of Ontologies for Assembling Simulation Models of Industrial Systems Petr Nov´ak1

  13. CALIBRATION OF PHOTOVOLTAIC MODULE PERFORMANCE MODELS USING MONITORED SYSTEM DATA

    E-Print Network [OSTI]

    CALIBRATION OF PHOTOVOLTAIC MODULE PERFORMANCE MODELS USING MONITORED SYSTEM DATA Clifford W Facilities Inc, Tokyo, Japan, hakuta22@ntt-f.co.jp ABSTRACT: Calibration of a photovoltaic module performance and validate methods to calibrate the Sandia Photovoltaic Array Performance Model and the California Energy

  14. Modeling the Global Critical Path in Concurrent Systems

    E-Print Network [OSTI]

    Modeling the Global Critical Path in Concurrent Systems Girish Venkataramani Tiberiu Chelcea Mihai Molecular Electronics, under contract number CCR0205523. #12;Keywords: Performance modeling, critical path analysis, high-level synthesis #12;Abstract We show how the global critical path can be used as a practical

  15. Modeling and Processing of High Dimensional Signals and Systems Using

    E-Print Network [OSTI]

    1 Modeling and Processing of High Dimensional Signals and Systems Using the Sparse Matrix Transform Experimental results on medical imaging Covariance estimation for high dimensional signals SMT framework SMT for covariance estimation Experimental results of SMT for modeling hyper-spectral data and face images

  16. Model-Driven Process Configuration of Enterprise Systems*

    E-Print Network [OSTI]

    van der Aalst, Wil

    have been funded by SAP Research and Queensland University of Technology with the project "ModellingModel-Driven Process Configuration of Enterprise Systems* Alexander Dreiling, Michael Rosemann Queensland University of Technology Wil van der Aalst Eindhoven University of Technology Wasim Sadiq SAP

  17. System Identification and Modelling of a High Performance Hydraulic Actuator

    E-Print Network [OSTI]

    Hayward, Vincent

    System Identification and Modelling of a High Performance Hydraulic Actuator Benoit Boulet, Laeeque with the experimental identification and modelling of the nonlinear dynamics ofa high performance hydraulic actuator. The actuator properties and performance are also discussed. 1 Introduction Hydraulic actuation used to be

  18. Service-Oriented Modelling of Automotive Systems Laura Bocchi

    E-Print Network [OSTI]

    Ulidowski, Irek

    Service-Oriented Modelling of Automotive Systems Laura Bocchi Department of Computer Science@di.fc.ul.pt ABSTRACT We discuss the suitability of service-oriented computing for the automotive domain. We present a formal high-level language in which complex automotive activities can be modelled in terms of core

  19. Exploiting Behavior Models for Availability Analysis of Interactive Systems

    E-Print Network [OSTI]

    Cengarle, María Victoria

    Exploiting Behavior Models for Availability Analysis of Interactive Systems Maximilian Junker Technische Universit¨at M¨unchen Abstract--We propose an approach for availability analysis that directly are reduced effort as no dedicated availability models need to be created as well as precise results due

  20. Bayesian System Identification and Response Predictions Robust to Modeling Uncertainty

    E-Print Network [OSTI]

    Beck, James L.

    .g. system ID, structural health monitoring, robust control, state &/or parameter estimation ) #12;33 Outline of seismic ground acceleration Finite element model with uncertain parameters Posterior analysis: During;55 System performance measure in the presence of uncertainty: Failure probability + - "Failure" t(t)iy i b i

  1. Chemical Organizations in a Toy Model of the Political System

    E-Print Network [OSTI]

    Dittrich, Peter

    Chemical Organizations in a Toy Model of the Political System Peter Dittrich1 and Lars Winter2,3 1 social phenomena, we discuss in this paper, whether and how the metaphor of a chemical reaction network of the political system inspired by Luhmann, we demonstrate how chemical organization theory can be applied and can

  2. Modeling Combined Time-and Event-Driven Dynamic Systems

    E-Print Network [OSTI]

    Baclawski, Kenneth B.

    such as logistical systems, distributed sensor sys- tems and intelligent highway vehicle systems, are complex dynamic. In this approach, future behaviors are generated through quantitative simulation which "executes" a simulation model, typically at fixed time steps, to obtain quantitative values of state and/or output variables. 1

  3. The HYCOM (HYbrid Coordinate Ocean Model) data assimilative system

    E-Print Network [OSTI]

    Carolina, Rutgers, U. of South Florida, Fugro- GEOS, ROFFS, Orbimage, Shell, ExxonMobil. 0924-7963/$ - seeThe HYCOM (HYbrid Coordinate Ocean Model) data assimilative system Eric P. Chassignet a,, Harley E and basin-scale ocean hindcast, nowcast, and prediction system in the context of the Global Ocean Data

  4. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology

    E-Print Network [OSTI]

    Timmer, Jens

    Lessons Learned from Quantitative Dynamical Modeling in Systems Biology Andreas Raue1,2 *. , Marcel of Physics, University of Freiburg, Freiburg, Germany, 2 Institute of Computational Biology, Helmholtz Center, Munich, Germany, 3 Systems Biology of Signal Transduction, German Cancer Research Center

  5. Dynamic wind turbine models in power system simulation tool

    E-Print Network [OSTI]

    Dynamic wind turbine models in power system simulation tool DIgSILENT Anca D. Hansen, Florin Iov Iov, Poul Sørensen, Nicolaos Cutululis, Clemens Jauch, Frede Blaabjerg Title: Dynamic wind turbine system simulation tool PowerFactory DIgSILENT for different wind turbine concepts. It is the second

  6. Water Rights Analysis Package (WRAP) Modeling System Users Manual 

    E-Print Network [OSTI]

    Wurbs, Ralph A.

    2005-01-01

    System Users Manual by Ralph A. Wurbs Civil Engineering Department Texas A&M University TR-256 Texas Water Resources Institute College Station, Texas April 2005 Water Rights Analysis Package (WRAP) Modeling System Users Manual... The Texas A&M University System College Station, Texas 77843-2118 First Edition, August 2003 Second Edition, April 2005 Mention of a trademark or a proprietary product does not constitute a guarantee or a warranty of the product by the Texas...

  7. Harmonic and interharmonic distortion modeling in multiconverter systems

    SciTech Connect (OSTI)

    Carbone, R.; Morrison, R.E.; Testa, A.; Menniti, D.

    1995-07-01

    The problem of modeling multiconverter systems in presence of harmonic and interharmonic distortion is considered. Specifically, current source rectifiers are considered as distortion sources some supply d.c. motors and the remaining supplying inverters feeding a.c. machines. The classical analogue, frequency domain and time domain models proposed in the literature to study harmonic distortion in a multiconverter system are considered and for each model suitable extension to include the interharmonic distortion are presented and critically analyzed. The results of several experiments are reported to show the usefulness and to compare the accuracy of the different extensions considered.

  8. Cyber-Physical System Requirements -A Model Driven Approach Cyber-physical systems (CPS) networked

    E-Print Network [OSTI]

    Minnesota, University of

    systems such as infusion pumps. Complete and consistent requirements are central to analysis. A generic patient controlled analgesia (GPCA) infusion pump system was used as a case example to provide: Generic Patient Controlled Analgesia Infusion Pump System. Figure: Infusion Pump Plant Model. Figure

  9. Identification and modeling of discoverers in online social systems

    E-Print Network [OSTI]

    Medo, Matus; Zeng, An; Zhang, Yi-Cheng

    2015-01-01

    The dynamics of individuals is of essential importance for understanding the evolution of social systems. Most existing models assume that individuals in diverse systems, ranging from social networks to e-commerce, all tend to what is already popular. We develop an analytical time-aware framework which shows that when individuals make choices -- which item to buy, for example -- in online social systems, a small fraction of them is consistently successful in discovering popular items long before they actually become popular. We argue that these users, whom we refer to as discoverers, are fundamentally different from the previously known opinion leaders, influentials, and innovators. We use the proposed framework to demonstrate that discoverers are present in a wide range of systems. Once identified, they can be used to predict the future success of items. We propose a network model which reproduces the discovery patterns observed in the real data. Furthermore, data produced by the model pose a fundamental cha...

  10. An improved dust emission model - Part 2: Evaluation in the Community Earth System Model, with implications for the use of dust source functions

    E-Print Network [OSTI]

    Kok, JF; Albani, S; Mahowald, NM; Ward, DS

    2014-01-01

    S. : The Community Earth System Model A Framework forin the Community Earth System Model, with implications forinto the Community Earth System Model (CESM) and comparing

  11. The integrated Earth system model version 1: formulation and functionality

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

    Collins, W. D.; Craig, A. P.; Truesdale, J. E.; Di Vittorio, A. V.; Jones, A. D.; Bond-Lamberty, B.; Calvin, K. V.; Edmonds, J. A.; Kim, S. H.; Thomson, A. M.; et al

    2015-07-23

    The integrated Earth system model (iESM) has been developed as a new tool for projecting the joint human/climate system. The iESM is based upon coupling an integrated assessment model (IAM) and an Earth system model (ESM) into a common modeling infrastructure. IAMs are the primary tool for describing the human–Earth system, including the sources of global greenhouse gases (GHGs) and short-lived species (SLS), land use and land cover change (LULCC), and other resource-related drivers of anthropogenic climate change. ESMs are the primary scientific tools for examining the physical, chemical, and biogeochemical impacts of human-induced changes to the climate system. Themore »iESM project integrates the economic and human-dimension modeling of an IAM and a fully coupled ESM within a single simulation system while maintaining the separability of each model if needed. Both IAM and ESM codes are developed and used by large communities and have been extensively applied in recent national and international climate assessments. By introducing heretofore-omitted feedbacks between natural and societal drivers, we can improve scientific understanding of the human–Earth system dynamics. Potential applications include studies of the interactions and feedbacks leading to the timing, scale, and geographic distribution of emissions trajectories and other human influences, corresponding climate effects, and the subsequent impacts of a changing climate on human and natural systems. This paper describes the formulation, requirements, implementation, testing, and resulting functionality of the first version of the iESM released to the global climate community.« less

  12. HIERARCHICAL METHODOLOGY FOR MODELING HYDROGEN STORAGE SYSTEMS PART II: DETAILED MODELS

    SciTech Connect (OSTI)

    Hardy, B; Donald L. Anton, D

    2008-12-22

    There is significant interest in hydrogen storage systems that employ a media which either adsorbs, absorbs or reacts with hydrogen in a nearly reversible manner. In any media based storage system the rate of hydrogen uptake and the system capacity is governed by a number of complex, coupled physical processes. To design and evaluate such storage systems, a comprehensive methodology was developed, consisting of a hierarchical sequence of models that range from scoping calculations to numerical models that couple reaction kinetics with heat and mass transfer for both the hydrogen charging and discharging phases. The scoping models were presented in Part I [1] of this two part series of papers. This paper describes a detailed numerical model that integrates the phenomena occurring when hydrogen is charged and discharged. A specific application of the methodology is made to a system using NaAlH{sub 4} as the storage media.

  13. Integration of Feedstock Assembly System and Cellulosic Ethanol Conversion Models to Analyze Bioenergy System Performance

    SciTech Connect (OSTI)

    Jared M. Abodeely; Douglas S. McCorkle; Kenneth M. Bryden; David J. Muth; Daniel Wendt; Kevin Kenney

    2010-09-01

    Research barriers continue to exist in all phases of the emerging cellulosic ethanol biorefining industry. These barriers include the identification and development of a sustainable and abundant biomass feedstock, the assembly of viable assembly systems formatting the feedstock and moving it from the field (e.g., the forest) to the biorefinery, and improving conversion technologies. Each of these phases of cellulosic ethanol production are fundamentally connected, but computational tools used to support and inform analysis within each phase remain largely disparate. This paper discusses the integration of a feedstock assembly system modeling toolkit and an Aspen Plus® conversion process model. Many important biomass feedstock characteristics, such as composition, moisture, particle size and distribution, ash content, etc. are impacted and most effectively managed within the assembly system, but generally come at an economic cost. This integration of the assembly system and the conversion process modeling tools will facilitate a seamless investigation of the assembly system conversion process interface. Through the integrated framework, the user can design the assembly system for a particular biorefinery by specifying location, feedstock, equipment, and unit operation specifications. The assembly system modeling toolkit then provides economic valuation, and detailed biomass feedstock composition and formatting information. This data is seamlessly and dynamically used to run the Aspen Plus® conversion process model. The model can then be used to investigate the design of systems for cellulosic ethanol production from field to final product.

  14. Pajarito Plateau Groundwater Flow and Transport Modeling Process-Level and Systems Models of Groundwater Flow and

    E-Print Network [OSTI]

    Lu, Zhiming

    Pajarito Plateau Groundwater Flow and Transport Modeling 1 Process-Level and Systems Models of Groundwater Flow and Transport Beneath the Pajarito Plateau: Migration of High Explosives from Technical Area Groundwater Modeling Project Systems Model Vadose Zone Model Regional Aquifer Model #12;Pajarito Plateau

  15. Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1

    SciTech Connect (OSTI)

    1998-01-01

    This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.

  16. Reduced Operator Approximation for Modelling Open Quantum Systems

    E-Print Network [OSTI]

    Agnieszka Werpachowska

    2015-08-05

    We present the Reduced Operator Approximation: a simple, physically transparent and computationally efficient method of modelling open quantum systems. It employs the Heisenberg picture of the quantum dynamics, which allows us to focus on the system degrees of freedom in a natural and easy way. We describe different variants of the method, low- and high-order in the system-bath interaction operators, defining them for either general quantum harmonic oscillator baths or specialising them for independent baths with Lorentzian spectral densities. Its wide applicability is demonstrated on the examples of systems coupled to different baths (with varying system-bath interaction strength and bath memory length), and compared with the exact pseudomode and the popular quantum state diffusion approach. The method captures the decoherence of the system interacting with the bath, while conserving the total energy. Our results suggest that quantum coherence effects persist in open quantum systems for much longer times than previously thought.

  17. Causes and implications of persistent atmospheric carbon dioxide biases in Earth System Models

    E-Print Network [OSTI]

    2014-01-01

    2013), The Community Earth System Model: A framework forcycle in the CMIP5 Earth System Models, J. Clim. , 26(18),feedbacks in CMIP5 Earth System Models, J. Clim. , 26(15),

  18. Changes in soil organic carbon storage predicted by Earth system models during the 21st century

    E-Print Network [OSTI]

    2013-01-01

    carbon changes in Earth system models K. E. O. Todd-Brown etcarbon changes in Earth system models K. E. O. Todd-Brown etDiscussion Paper CMIP5 Earth system models and comparison

  19. Abstraction and Counterexample-Guided Refinement in Model Checking of Hybrid Systems

    E-Print Network [OSTI]

    : Formal Verification, Abstraction, Model Checking, Hybrid Systems, Refinement, Counterexamples #12Abstraction and Counterexample-Guided Refinement in Model Checking of Hybrid Systems Edmund Clarke a counterexample generated by the model checker. For hybrid systems, analysis of the counterexample requires

  20. A Modern Almagest An Updated Version of Ptolemy's Model of the Solar System

    E-Print Network [OSTI]

    Fitzpatrick, Richard

    A Modern Almagest An Updated Version of Ptolemy's Model of the Solar System Richard Fitzpatrick and Ptolemy's Almagest . . . . . . . . . . . . . . . . . . . . . . . 5 1.2 Ptolemy's Model of the Solar System . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Copernicus's Model of the Solar System . . . . . . . . . . . . . . . . . . . . . . . . . 10 1

  1. Changes in soil organic carbon storage predicted by Earth system models during the 21st century

    E-Print Network [OSTI]

    2013-01-01

    carbon changes in Earth system models K. E. O. Todd-Brown etcarbon changes in Earth system models K. E. O. Todd-Brown etcarbon changes in Earth system models K. E. O. Todd-Brown et

  2. Improving Power System Modeling. A Tool to Link Capacity Expansion and Production Cost Models

    SciTech Connect (OSTI)

    Diakov, Victor; Cole, Wesley; Sullivan, Patrick; Brinkman, Gregory; Margolis, Robert

    2015-11-01

    Capacity expansion models (CEM) provide a high-level long-term view at the prospects of the evolving power system. In simulating the possibilities of long-term capacity expansion, it is important to maintain the viability of power system operation in the short-term (daily, hourly and sub-hourly) scales. Production-cost models (PCM) simulate routine power system operation on these shorter time scales using detailed load, transmission and generation fleet data by minimizing production costs and following reliability requirements. When based on CEM 'predictions' about generating unit retirements and buildup, PCM provide more detailed simulation for the short-term system operation and, consequently, may confirm the validity of capacity expansion predictions. Further, production cost model simulations of a system that is based on capacity expansion model solution are 'evolutionary' sound: the generator mix is the result of logical sequence of unit retirement and buildup resulting from policy and incentives. The above has motivated us to bridge CEM with PCM by building a capacity expansion - to - production cost model Linking Tool (CEPCoLT). The Linking Tool is built to onset capacity expansion model prescriptions onto production cost model inputs. NREL's ReEDS and Energy Examplar's PLEXOS are the capacity expansion and the production cost models, respectively. Via the Linking Tool, PLEXOS provides details of operation for the regionally-defined ReEDS scenarios.

  3. Development of a system model for advanced small modular reactors.

    SciTech Connect (OSTI)

    Lewis, Tom Goslee,; Holschuh, Thomas Vernon,

    2014-01-01

    This report describes a system model that can be used to analyze three advance small modular reactor (SMR) designs through their lifetime. Neutronics of these reactor designs were evaluated using Monte Carlo N-Particle eXtended (MCNPX/6). The system models were developed in Matlab and Simulink. A major thrust of this research was the initial scoping analysis of Sandia's concept of a long-life fast reactor (LLFR). The inherent characteristic of this conceptual design is to minimize the change in reactivity over the lifetime of the reactor. This allows the reactor to operate substantially longer at full power than traditional light water reactors (LWRs) or other SMR designs (e.g. high temperature gas reactor (HTGR)). The system model has subroutines for lifetime reactor feedback and operation calculations, thermal hydraulic effects, load demand changes and a simplified SCO2 Brayton cycle for power conversion.

  4. Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water Resources

    E-Print Network [OSTI]

    Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water research assistantships available in the general area of earth systems modeling and climate impacts

  5. Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation

    E-Print Network [OSTI]

    Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models

  6. Wind energy conversion system analysis model (WECSAM) computer program documentation

    SciTech Connect (OSTI)

    Downey, W T; Hendrick, P L

    1982-07-01

    Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)

  7. Disturbance Model Identification and Model Free Synthesis of Controllers for Multivariable Systems 

    E-Print Network [OSTI]

    Sajjanshetty, Kiran

    2012-10-19

    In this work, two different problems are addressed. In the first part, the problem of synthesizing a set of stabilizing controllers for unknown multivariable systems using direct data is analyzed. This is a model free ...

  8. MIT Integrated Global System Model (IGSM) Version 2: Model Description and Baseline Evaluation

    E-Print Network [OSTI]

    Sokolov, Andrei P.

    The MIT Integrated Global System Model (IGSM) is designed for analyzing the global environmental changes that may result from anthropogenic causes, quantifying the uncertainties associated with the projected changes, and ...

  9. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs - FY 2004 – FY2020

    SciTech Connect (OSTI)

    None, None

    2004-04-01

    This report features results and data based on the National Energy Modeling System (NEMS) model, as well as EERE's benefits and Government Performance and Results Act (GPRA) guidance.

  10. Macro System Model (MSM) User Guide, Version 1.3

    SciTech Connect (OSTI)

    Ruth, M.; Diakov, V.; Sa, T.; Goldsby, M.

    2011-09-01

    This user guide describes the macro system model (MSM). The MSM has been designed to allow users to analyze the financial, environmental, transitional, geographical, and R&D issues associated with the transition to a hydrogen economy. Basic end users can use the MSM to answer cross-cutting questions that were previously difficult to answer in a consistent and timely manner due to various assumptions and methodologies among different models.

  11. Documentation of the DRI Model of the US economy, December 1993

    SciTech Connect (OSTI)

    Not Available

    1994-02-28

    The Energy Information Administration (EIA) uses models of the US economy developed by Data Resources, Inc. (DRI) for conducting policy analyses, preparing forecasts for the Annual Energy Outlook, the Short-Term Energy Outlook, and related analyses in conjunction with EIA`s National Energy Modeling System (NEMS) and its other energy market models. Both the DRI Model of the US Economy and the DRI Personal Computer Input-Output Model (PC-IO){sup 2} were developed and are maintained by DRI as proprietary models. This report provides documentation, as required by EIA standards for the use of proprietary models; describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations. Appendix A describes how the two large-scale models documented here are used to support the macroeconomic and interindustry modeling associated with the National Energy Modeling System. Appendix B is an article by Stephen McNees of the Federal Reserve Bank of Boston on ``How Large are Economic Forecast Errors.`` This article assesses the forecast accuracy of a number of economic forecasting models (groups) and is attached as an independent assessment of the forecast accuracy of the DRI Model of the US Economy.

  12. Process modeling for the Integrated Thermal Treatment System (ITTS) study

    SciTech Connect (OSTI)

    Liebelt, K.H.; Brown, B.W.; Quapp, W.J.

    1995-09-01

    This report describes the process modeling done in support of the integrated thermal treatment system (ITTS) study, Phases 1 and 2. ITTS consists of an integrated systems engineering approach for uniform comparison of widely varying thermal treatment technologies proposed for treatment of the contact-handled mixed low-level wastes (MLLW) currently stored in the U.S. Department of Energy complex. In the overall study, 19 systems were evaluated. Preconceptual designs were developed that included all of the various subsystems necessary for a complete installation, from waste receiving through to primary and secondary stabilization and disposal of the processed wastes. Each system included the necessary auxiliary treatment subsystems so that all of the waste categories in the complex were fully processed. The objective of the modeling task was to perform mass and energy balances of the major material components in each system. Modeling of trace materials, such as pollutants and radioactive isotopes, were beyond the present scope. The modeling of the main and secondary thermal treatment, air pollution control, and metal melting subsystems was done using the ASPEN PLUS process simulation code, Version 9.1-3. These results were combined with calculations for the remainder of the subsystems to achieve the final results, which included offgas volumes, and mass and volume waste reduction ratios.

  13. ISSUES ASSOCIATED WITH PROBABILISTIC FAILURE MODELING OF DIGITAL SYSTEMS

    SciTech Connect (OSTI)

    CHU,T.L.; MARTINEZ-GURIDI,G.; LEHNER,J.; OVERLAND,D.

    2004-09-19

    The current U.S. Nuclear Regulatory Commission (NRC) licensing process of instrumentation and control (I&C) systems is based on deterministic requirements, e.g., single failure criteria, and defense in depth and diversity. Probabilistic considerations can be used as supplements to the deterministic process. The National Research Council has recommended development of methods for estimating failure probabilities of digital systems, including commercial off-the-shelf (COTS) equipment, for use in probabilistic risk assessment (PRA). NRC staff has developed informal qualitative and quantitative requirements for PRA modeling of digital systems. Brookhaven National Laboratory (BNL) has performed a review of the-state-of-the-art of the methods and tools that can potentially be used to model digital systems. The objectives of this paper are to summarize the review, discuss the issues associated with probabilistic modeling of digital systems, and identify potential areas of research that would enhance the state of the art toward a satisfactory modeling method that could be integrated with a typical probabilistic risk assessment.

  14. 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.

  15. System Level Modelling of Reconfigurable FFT Architecture for System-on-Chip Ali Ahmadinia, Balal Ahmad, Tughrul Arslan

    E-Print Network [OSTI]

    Arslan, Tughrul

    's productivity. This paper aims to produce new high level IP models in SystemC for functional verification of IP and modelled in SystemC. Power, area and performance figures are presented as well. 1 Introduction In SoSystem Level Modelling of Reconfigurable FFT Architecture for System-on-Chip Design Ali Ahmadinia

  16. Further Developments on the Geothermal System Scoping Model: Preprint

    SciTech Connect (OSTI)

    Antkowiak, M.; Sargent, R.; Geiger, J. W.

    2010-07-01

    This paper discusses further developments and refinements for the uses of the Geothermal System Scoping Model in an effort to provide a means for performing a variety of trade-off analyses of surface and subsurface parameters, sensitivity analyses, and other systems engineering studies in order to better inform R&D direction and investment for the development of geothermal power into a major contributor to the U.S. energy supply.

  17. Proceedings of the ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems,MEMS and NEMS

    E-Print Network [OSTI]

    Lee, Hsien-Hsin "Sean"

    ], but in addition, companies face the fact that annual data center op-ex costs can exceed the cap-ex costs

  18. System Modeling of Gas Engine Driven Heat Pump

    SciTech Connect (OSTI)

    Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL); Shen, Bo [ORNL] [ORNL; Vineyard, Edward [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL)

    2012-01-01

    To improve the system performance of the GHP, modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated by using ORNL Modulating Heat Pump Design Software, which is used to predict steady-state heating and cooling performance of variable-speed vapor compression air-to-air heat pumps for a wide range of operational variables. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using desiccant system regenerated by waste heat from engine, the SHR can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% in rated operating conditions.

  19. Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint

    SciTech Connect (OSTI)

    Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.

    2012-06-01

    The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.

  20. Preindustrial-control and twentieth-century carbon cycle experiments with the Earth system model CESM1(BGC)

    E-Print Network [OSTI]

    2014-01-01

    feedbacks in CMIP5 Earth system models. J. Climate, 26,dioxide biases in Earth system models. J. Geophys. Res.2013: The Community Earth System Model: A framework for

  1. Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations

    E-Print Network [OSTI]

    2013-01-01

    and benchmarks in Earth system models sitivity of the Amazonand benchmarks in Earth system models Thornton, P. E. ,simulations from CMIP5 Earth system models and comparison

  2. Interactive crop management in the Community Earth System Model (CESM1): Seasonal influences on land-atmosphere fluxes

    E-Print Network [OSTI]

    Levis, S.

    2014-01-01

    will likely improve earth system model simulations withABSTRACT The Community Earth System Model, version 1 (CESM1)in the Community Earth System Model (CESM1): Seasonal

  3. A System-of-Systems Approach for Integrated Energy Systems Modeling...

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

    and test the impact of new retail market structures and technologies such as DERs, demand-response equipment, and energy management systems on the system's ability to...

  4. Simulation models of subsea umbilicals, flowlines and fire pump systems

    SciTech Connect (OSTI)

    Bratland, O.

    1995-12-01

    This paper discusses mathematical models suited for simulating transient and stationary flow in umbilicals, flowlines and fire pump systems. Most emphasis is put on subsea systems. Measurements are compared with simulations and good agreement has been achieved. The results show that the dynamics and response time in a hydraulic subsea control system can be influenced by parameters like umbilical elastic properties, umbilical visco-elastic properties, transition between laminar and turbulent flow, and some frequency-dependant propagation mechanisms. The paper discusses typical problems in different flow systems. It is also shown how the relevant umbilical properties can be determined by simple measurements on a short test section of the umbilical. In fire pump systems, cavitation is typically the main transient problem. In long oil and gas pipelines, the friction dominates and an accurate representation of the friction is the best contribution to relevant simulation results.

  5. Utilization of a Validated Power System Model on Two

    E-Print Network [OSTI]

    Utilization of a Validated Power System Model on Two Scenarios: Base Case and High Wind Penetration. DE-FC-06NT42847 Task 1. Deliverable #4 ­ Conceptual Design Report By GE Global Research Niskayuna-956-8346 e-mail: rochelea@hawaii.edu Technical Contact at GE Global Research: Devon Manz Electric Power

  6. Model Predictive Control of Residential Energy Systems Using

    E-Print Network [OSTI]

    Knobloch,Jürgen

    network infrastructure and can lead to a degradation of power quality and even outages. In responseModel Predictive Control of Residential Energy Systems Using Energy Storage & Controllable Loads degree of freedom leads to improved performance. 1 Introduction Widespread uptake of local electricity

  7. Modeling of RTF Glove-Box and Stripper System

    SciTech Connect (OSTI)

    Hsu, R.H.

    2001-03-28

    The glove box-stripper system for the Replacement Tritium Facility (RTF) has been modeled to determine its steady-state performance. To permit comparison, simulations of modified cases were compared with a standard or base case. This paper discusses tests conducted, results obtained and makes recommendations.

  8. Modeling and Implementation of Energy Neutral Sensing Systems

    E-Print Network [OSTI]

    Gnawali, Omprakash

    .1145/2534208.2534211 reliably for a long time with minimum energy and mainte- nance cost while supporting sophisticated]: Organization and Design-- Distributed Systems General Terms Design, Modeling, Experimentation, Measurement (ENSSys) achieve long-time operation by combining energy-harvesting hardware with software that regulates

  9. Macro-System Model Project #AN011 (Presentation)

    SciTech Connect (OSTI)

    Ruth, M. F.; Diakov, V.; Sa, T. J.; Goldsby, M.

    2010-06-08

    A review of the Macro-System Model for hydrogen production pathways analysis, including objectives, accomplishments, collaborations, and future work. Presented at the 2010 U.S. Department of Energy Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010, in Washington, DC.

  10. Data Mining for Modeling Chiller Systems in Data Centers

    E-Print Network [OSTI]

    Data Mining for Modeling Chiller Systems in Data Centers Debprakash Patnaik1 , Manish Marwah2 in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due transitions and aid in diagnostics and prediction. We showcase experimental results using a HP data center

  11. Tangible Context Modelling for Rapid Adaptive System Testing

    E-Print Network [OSTI]

    Pfeifer, Holger

    , the adaptive behavior can even change the context by itself (e. g. switching the lights on causes the effectTangible Context Modelling for Rapid Adaptive System Testing Frank Honold, Felix Schüssel, Michael.honold, felix.schuessel, michael.munding, michael.weber}@uni-ulm.de Abstract--With the rise of adaptive

  12. Water Rights Analysis Package (WRAP) Modeling System Reference Manual 

    E-Print Network [OSTI]

    Wurbs, R.

    2012-10-01

    Inflows and Outflows ............................................................................................... 96 Hydroelectric Energy Generation ....................................................................................... 96 Instream... contributed to development and improvement of the model. The original WRAP, initially called TAMUWRAP, stemmed from a 1986-1988 research project at Texas A&M University, entitled Optimizing Reservoir System Operations, which was sponsored by a federal...

  13. Utilization of a Validated Power System Model on Two

    E-Print Network [OSTI]

    Utilization of a Validated Power System Model on Two Scenarios: Base Case and High Wind Penetration, New York And University of Hawaii Hawaii Natural Energy Institute School of Ocean and Earth Science are presented. The business-as-usual and higher wind penetration scenarios have been built in both

  14. Synchronous Closing of Timed SDL Systems for Model Checking

    E-Print Network [OSTI]

    Sidorova, Natalia

    the model from a piece of software? additional techniques: 1. abstraction: (a) data abstraction: replace concrete domains by finite, abstract ones (b) control abstraction, i.e., add non-determinism 2. system solutions 1. one-valued data abstraction ¢¡ no external data 2. three-valued timer abstraction 3

  15. Interconnected hydro-thermal systems Models, methods, and applications

    E-Print Network [OSTI]

    Interconnected hydro-thermal systems Models, methods, and applications Magnus Hindsberger Kgs. Lyngby 2003 IMM-PHD-2003-112 Interconnected hydro-thermalsystems #12;Technical University of Denmark 45882673 reception@imm.dtu.dk www.imm.dtu.dk IMM-PHD-2003-112 ISSN 0909-3192 #12;Interconnected hydro

  16. Using Tropos Methodology to Model an Integrated Health Assessment System

    E-Print Network [OSTI]

    health assessment of health and social care needs of older people is used as the case study throughoutUsing Tropos Methodology to Model an Integrated Health Assessment System Haralambos Mouratidis 1 of Trento, Italy pgiorgini@dit.unit.it Abstract. This paper presents a case study to illustrate the features

  17. Design of Embedded Systems: Formal Models, Validation, and Synthesis

    E-Print Network [OSTI]

    Grosu, Radu

    critical situations, where reliability and safety are more important criteria than performance. TodayDesign of Embedded Systems: Formal Models, Validation, and Synthesis S. Edwards, L. Lavagno, E. A. Lee, and A. Sangiovanni-Vincentelli November 5, 1999 Abstract This paper addresses the design

  18. Model of the midcontinent rift system in northeastern Kansas

    SciTech Connect (OSTI)

    Woelk, T.S.; Hinze, W.J. (Purdue Univ., West Lafayette, IN (USA))

    1991-03-01

    Recent drilling of the midcontinent rift system in northeastern Kansas reveals a transposed Keweenawan stratigraphy of mafic volcanic rocks overlying thick clastic sedimentary rocks. A reprocessed version of COCORP Kansas Line 1 indicates that the drillhole penetrated a series of west-dipping reflectors associated with a reverse fault bounding the east side of the rift basin. Reanalysis of the original COCORP line also reveals a west-bounding reverse fault and evidence of crustal thickening. This information is integrated with gravity and magnetic data to define a model of the rift in northeastern Kansas. The model, consisting of an asymmetric basin bounded by reverse faults with thickened crust beaneath the rift, is similar to models proposed for northern segments of the rift system, and argues for homogeneity in the structural style and tectonic evolution along the length of the rift.

  19. 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.

  20. High Flux Isotope Reactor system RELAP5 input model

    SciTech Connect (OSTI)

    Morris, D.G.; Wendel, M.W.

    1993-01-01

    A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.

  1. Mathematical modeling of the nickel/metal hydride battery system

    SciTech Connect (OSTI)

    Paxton, B K [Univ. of California, Berkeley, CA (United States). Dept. of Chemical Engineering

    1995-09-01

    A group of compounds referred to as metal hydrides, when used as electrode materials, is a less toxic alternative to the cadmium hydroxide electrode found in nickel/cadmium secondary battery systems. For this and other reasons, the nickel/metal hydride battery system is becoming a popular rechargeable battery for electric vehicle and consumer electronics applications. A model of this battery system is presented. Specifically the metal hydride material, LaNi{sub 5}H{sub 6}, is chosen for investigation due to the wealth of information available in the literature on this compound. The model results are compared to experiments found in the literature. Fundamental analyses as well as engineering optimizations are performed from the results of the battery model. In order to examine diffusion limitations in the nickel oxide electrode, a ``pseudo 2-D model`` is developed. This model allows for the theoretical examination of the effects of a diffusion coefficient that is a function of the state of charge of the active material. It is found using present data from the literature that diffusion in the solid phase is usually not an important limitation in the nickel oxide electrode. This finding is contrary to the conclusions reached by other authors. Although diffusion in the nickel oxide active material is treated rigorously with the pseudo 2-D model, a general methodology is presented for determining the best constant diffusion coefficient to use in a standard one-dimensional battery model. The diffusion coefficients determined by this method are shown to be able to partially capture the behavior that results from a diffusion coefficient that varies with the state of charge of the active material.

  2. Department of Mechanical Engineering "Dependability Aspects of Model-Based Systems Design for Mechatronic

    E-Print Network [OSTI]

    Zakhor, Avideh

    for Mechatronic Systems" Klaus Janschek Technische Universität Dresden, Germany ABSTRACT Mechatronic systems. This makes mechatronic systems increasingly highly critical subject to failures at different technological such as "systems" (in particular mechatronic systems), "models", "design" and "dependability" with special focus

  3. The use and misuse of Vc,max in Earth System Models Alistair Rogers

    E-Print Network [OSTI]

    Rogers, Alistair

    REVIEW The use and misuse of Vc,max in Earth System Models Alistair Rogers Received: 18 November Dordrecht (outside the USA) 2013 Abstract Earth System Models (ESMs) aim to project global change. Central Á Vc,max Á Leaf nitrogen Á Earth System Models Introduction The primary goal of Earth System Models

  4. Towards High-Level Models For Low-Power Systems Florence Maraninchi

    E-Print Network [OSTI]

    Towards High-Level Models For Low-Power Systems Florence Maraninchi Computer Science, Joseph at Verimag addresses model-extraction from SystemC, to connect to verification tools. This work is done of transaction-level-modeling for systems-on-a-chip (TLM). We develop models in SystemC, or using the synchronous

  5. FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda

    E-Print Network [OSTI]

    FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe­ sis. 2. Earth System Models An earth system model is a computer code designed

  6. [10-386] Assessing and Improving the Scale Dependence of Ecosystem Processes in Earth System Models

    E-Print Network [OSTI]

    . Goodale Cornell U. *Overall Project Lead *Lead Institution Intellectual Merit: Earth system models include policies. Our research assesses and improves Earth system model simulations of the carbon cycle, ecosystem of the Community Climate System Model/Community Earth System Model, which includes statistical meteorological

  7. Atmospheric component of the MPI-M Earth System Model: Bjorn Stevens,1

    E-Print Network [OSTI]

    Reichler, Thomas

    Atmospheric component of the MPI-M Earth System Model: ECHAM6 Bjorn Stevens,1 Marco Giorgetta,1: Stevens, B., et al. (2013), Atmospheric component of the MPI-M Earth System Model: ECHAM6, J. Adv. Model as the atmospheric component of a coupled modeling system. The present version of the coupled system, the MPI Earth

  8. Virtual control system environment: A modeling and simulation tool for process control systems

    SciTech Connect (OSTI)

    Lee, E.; Michalski, J.; Sholander, P.; Van Leeuwen, B. [Sandia National Laboratories, Albuquerque, NM 87111 (United States)

    2006-07-01

    The development of tools and techniques for security testing and performance testing of Process Control Systems (PCS) is needed since those systems are vulnerable to the same classes of threats as other networked computer systems. In practice, security testing is difficult to perform on operational PCS because it introduces an unacceptable risk of disruption to the critical systems (e.g., power grids) that they control. In addition, the hardware used in PCS is often expensive, making full-scale mockup systems for live experiments impractical. A more flexible approach to these problems can be provided through test beds that provide the proper mix of real, emulated, and virtual elements to model large, complex systems such as critical infrastructures. This paper describes a 'Virtual Control System Environment' that addresses these issues. (authors)

  9. RF System Modeling for the CEBAF Energy Upgrade

    SciTech Connect (OSTI)

    Tomasz Plawski, J. Hovater

    2009-05-01

    An RF system model, based on MATLAB/SIMULINK, has been developed for analyzing the basic characteristics of the low level RF (LLRF) control system being designed for the CEBAF 12 GeV Energy Upgrade. In our model, a typical passband cavity representation is simplified to in-phase and quadrature (I&Q) components. Lorentz Force and microphonic detuning are incorporated as a new quadrature carrier frequency (frequency modulation). Beam is also represented as in-phase and quadrature components and superpositioned with the cavity field vector. Signals pass through two low pass filters, where the cutoff frequency is equal to half of the cavity bandwidth, then they are demodulated using the same detuning frequency. Because only baseband I&Q signals are calculated, the simulation process is very fast when compared to other controller-cavity models. During the design process we successfully analyzed gain requirements vs. field stability for different superconducting cavity microphonic backgrounds and Lorentz Force coefficients. Moreover, we were able to evaluate different types of a LLRF system’s control algorithm: GDR (Generator Driven Resonator) and SEL (Self Excited Loop) [1] as well as klystron power requirements for different cavities and beam loads.

  10. Modeling mutual feedback between users and recommender systems

    E-Print Network [OSTI]

    Zeng, An; Medo, Matus; Zhang, Yi-Cheng

    2015-01-01

    Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-term mutual feedback between a recommender system and the decisions of its users has been neglected so far. We propose here a model of network evolution which allows us to study the complex dynamics induced by this feedback, including the hysteresis effect which is typical for systems with non-linear dynamics. Despite the popular belief that recommendation helps users to discover new things, we find that the long-term use of recommendation can contribute to the rise of extremely popular items and thus ultimately narrow the user choice. These results are supported by measurements of the time evolution of item popularity inequality in real systems. We show that this adverse effect of recommendation can be tamed by sacrificing part of short-term recommendation accuracy.

  11. Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model

    E-Print Network [OSTI]

    Winguth, Arne

    Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model Uwe earth system model con- sisting of an atmospheric general circulation model, an ocean general

  12. 2/27/2001 Systems Modeling -Spring 2001 1 Availability and Performability

    E-Print Network [OSTI]

    Browne, James C.

    2/27/2001 Systems Modeling - Spring 2001 1 Availability and Performability Coverage Definitions State Models Reliability Block Diagrams Success Diagrams Fault Trees Availability Performability Reward Rates Representations Examples #12;2/27/2001 Systems Modeling - Spring 2001 2 Availability

  13. Computational Human Performance Modeling For Alarm System Design

    SciTech Connect (OSTI)

    Jacques Hugo

    2012-07-01

    The introduction of new technologies like adaptive automation systems and advanced alarms processing and presentation techniques in nuclear power plants is already having an impact on the safety and effectiveness of plant operations and also the role of the control room operator. This impact is expected to escalate dramatically as more and more nuclear power utilities embark on upgrade projects in order to extend the lifetime of their plants. One of the most visible impacts in control rooms will be the need to replace aging alarm systems. Because most of these alarm systems use obsolete technologies, the methods, techniques and tools that were used to design the previous generation of alarm system designs are no longer effective and need to be updated. The same applies to the need to analyze and redefine operators’ alarm handling tasks. In the past, methods for analyzing human tasks and workload have relied on crude, paper-based methods that often lacked traceability. New approaches are needed to allow analysts to model and represent the new concepts of alarm operation and human-system interaction. State-of-the-art task simulation tools are now available that offer a cost-effective and efficient method for examining the effect of operator performance in different conditions and operational scenarios. A discrete event simulation system was used by human factors researchers at the Idaho National Laboratory to develop a generic alarm handling model to examine the effect of operator performance with simulated modern alarm system. It allowed analysts to evaluate alarm generation patterns as well as critical task times and human workload predicted by the system.

  14. Transportation Sector Module of the National Energy Modeling System

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National Energy Modeling System: Model

  15. The Case for A Hierarchal System Model for Linux Clusters

    SciTech Connect (OSTI)

    Seager, M; Gorda, B

    2009-06-05

    The computer industry today is no longer driven, as it was in the 40s, 50s and 60s, by High-performance computing requirements. Rather, HPC systems, especially Leadership class systems, sit on top of a pyramid investment mode. Figure 1 shows a representative pyramid investment model for systems hardware. At the base of the pyramid is the huge investment (order 10s of Billions of US Dollars per year) in semiconductor fabrication and process technologies. These costs, which are approximately doubling with every generation, are funded from investments multiple markets: enterprise, desktops, games, embedded and specialized devices. Over and above these base technology investments are investments for critical technology elements such as microprocessor, chipsets and memory ASIC components. Investments for these components are spread across the same markets as the base semiconductor processes investments. These second tier investments are approximately half the size of the lower level of the pyramid. The next technology investment layer up, tier 3, is more focused on scalable computing systems such as those needed for HPC and other markets. These tier 3 technology elements include networking (SAN, WAN and LAN), interconnects and large scalable SMP designs. Above these is tier 4 are relatively small investments necessary to build very large, scalable systems high-end or Leadership class systems. Primary among these are the specialized network designs of vertically integrated systems, etc.

  16. Lean NOx Trap Modeling in Vehicle Systems Simulations

    SciTech Connect (OSTI)

    Gao, Zhiming [ORNL] [ORNL; Chakravarthy, Veerathu K [ORNL] [ORNL; Daw, C Stuart [ORNL] [ORNL; Conklin, Jim [ORNL] [ORNL

    2010-09-01

    A one-dimensional model for simulating lean NOx trap (LNT) performance is developed and validated using both steady state cycling data and transient data from FTP testing cycles. The model consists of the conservation equations for chemical species and energy in the bulk flow, energy of the solid walls, O2 storage and NOx storage (in the form of nitrites and nitrates). Nitrites and nitrates are formed by diffusion of NO and NO2, respectively, into sorbent particles (assumed to be hemi-spherical in shape) along with O2 and their formation rates are controlled by chemical kinetics as well as solid-phase diffusion rates of NOx species. The model also accounts for thermal aging and sulfation of LNTs. Empirical correlations are developed on the basis of published experimental data to capture these effects. These empirical correlations depend on total mileage for which the LNT has been in use, the mileage accumulated since the last desulfation event in addition to the freshly degreened catalyst characteristics. The model has been used in studies of vehicle systems (integration, performance etc.) including hybrid powertrain configurations. Since the engines in hybrid vehicles turn on and off multiple number of times during single drive cycles, the exhaust systems may encounter multiple cold start transients. Accurate modeling of catalyst warm-up and cooling is, therefore, very important to simulate LNT performance in such vehicles. For this purpose, the convective heat loss from the LNT to the ambient is modeled using a Nusselt number correlation that includes effects of both forced convection and natural convection (with later being important when vehicle is stationary). Using the model, the fuel penalty associated with operating LNTs on small diesel engine powered car during FTP drive cycles is estimated.

  17. Photothermal Self-Oscillation and Laser Cooling of Graphene Optomechanical Systems

    E-Print Network [OSTI]

    McEuen, Paul L.

    Photothermal Self-Oscillation and Laser Cooling of Graphene Optomechanical Systems Robert A. Barton systems (NEMS), photothermal force, laser cooling, self-oscillation Optomechanics,1,2 which uses optical that a continuous wave laser can be used to cool a graphene vibrational mode or to power a graphene-based tunable

  18. System Design Description and Requirements for Modeling the Off-Gas Systems for Fuel Recycling Facilities

    SciTech Connect (OSTI)

    Daryl R. Haefner; Jack D. Law; Troy J. Tranter

    2010-08-01

    This document provides descriptions of the off-gases evolved during spent nuclear fuel processing and the systems used to capture the gases of concern. Two reprocessing techniques are discussed, namely aqueous separations and electrochemical (pyrochemical) processing. The unit operations associated with each process are described in enough detail so that computer models to mimic their behavior can be developed. The document also lists the general requirements for the desired computer models.

  19. Development of hybrid 3-D hydrological modeling for the NCAR Community Earth System Model (CESM)

    SciTech Connect (OSTI)

    Zeng, Xubin; Troch, Peter; Pelletier, Jon; Niu, Guo-Yue; Gochis, David

    2015-11-15

    This is the Final Report of our four-year (3-year plus one-year no cost extension) collaborative project between the University of Arizona (UA) and the National Center for Atmospheric Research (NCAR). The overall objective of our project is to develop and evaluate the first hybrid 3-D hydrological model with a horizontal grid spacing of 1 km for the NCAR Community Earth System Model (CESM).

  20. 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.

  1. Alveolocapillary model system to study alveolar re-epithelialization

    SciTech Connect (OSTI)

    Willems, Coen H.M.P.; Zimmermann, Luc J.I.; Sanders, Patricia J.L.T.; Wagendorp, Margot; Kloosterboer, Nico; Cohen Tervaert, Jan Willem; Duimel, Hans J.Q.; Verheyen, Fons K.C.P.; Iwaarden, J. Freek van

    2013-01-01

    In the present study an in vitro bilayer model system of the pulmonary alveolocapillary barrier was established to investigate the role of the microvascular endothelium on re-epithelialization. The model system, confluent monolayer cultures on opposing sides of a porous membrane, consisted of a human microvascular endothelial cell line (HPMEC-ST1.6R) and an alveolar type II like cell line (A549), stably expressing EGFP and mCherry, respectively. These fluorescent proteins allowed the real time assessment of the integrity of the monolayers and the automated analysis of the wound healing process after a scratch injury. The HPMECs significantly attenuated the speed of re-epithelialization, which was associated with the proximity to the A549 layer. Examination of cross-sectional transmission electron micrographs of the model system revealed protrusions through the membrane pores and close contact between the A549 cells and the HPMECs. Immunohistochemical analysis showed that these close contacts consisted of heterocellular gap-, tight- and adherens-junctions. Additional analysis, using a fluorescent probe to assess gap-junctional communication, revealed that the HPMECs and A549 cells were able to exchange the fluorophore, which could be abrogated by disrupting the gap junctions using connexin mimetic peptides. These data suggest that the pulmonary microvascular endothelium may impact the re-epithelialization process. -- Highlights: ? Model system for vital imaging and high throughput screening. ? Microvascular endothelium influences re-epithelialization. ? A549 cells form protrusions through membrane to contact HPMEC. ? A549 cells and HPMECs form heterocellular tight-, gap- and adherens-junctions.

  2. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  3. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  4. Modeling Time Series of Real Systems using Genetic Programming

    E-Print Network [OSTI]

    Dilip P. Ahalpara; Jitendra C. Parikh

    2006-07-14

    Analytic models of two computer generated time series (Logistic map and Rossler system) and two real time series (ion saturation current in Aditya Tokamak plasma and NASDAQ composite index) are constructed using Genetic Programming (GP) framework. In each case, the optimal map that results from fitting part of the data set also provides a very good description of rest of the data. Predictions made using the map iteratively range from being very good to fair.

  5. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

    The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.

  6. System Advisor Model, SAM 2011.12.2: General Description

    SciTech Connect (OSTI)

    Gilman, P.; Dobos, A.

    2012-02-01

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

  7. System Advisor Model, SAM 2014.1.14: General Description

    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.

  8. Multi-State Load Models for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

    2011-11-01

    Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

  9. A biokinetic model for systemic technetium in adult humans

    SciTech Connect (OSTI)

    Leggett, Richard Wayne; Giussani, Augusto

    2015-01-01

    The International Commission on Radiological Protection (ICRP) currently is updating its biokinetic and dosimetric models for internally deposited radionuclides. Technetium (Tc), the lightest element that exists only in radioactive form, has two important isotopes from the standpoint of potential risk to humans: the long-lived isotope 99Tm (T1/2=2.1x105 y) is present in high concentration in nuclear waste, and the short-lived isotope 99mTc (T1/2=6.02 h) is the most commonly used radionuclide in diagnostic nuclear medicine. This paper reviews data on the biological behavior of technetium and proposes a biokinetic model for systemic technetium in the adult human body for use in radiation protection. Compared with the ICRP s current occupational model for systemic technetium, the proposed model provides a more realistic description of the paths of movement of technetium in the body; provides greater consistency with experimental and medical data; and, for most radiosensitive organs, yields substantially different estimates of cumulative activity (total radioactive decays within the organ) following uptake of 99Tm or 99mTc to blood.

  10. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1994-12-30

    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. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.

  11. Comparing FRACHEM and TOUGHREACT for reactive transport modeling of brine-rock interactions in enhanced geothermal systems (EGS)

    E-Print Network [OSTI]

    Andre, L.; Spycher, N.; Xu, T.; Pruess, K.; Vuataz, F.-D.

    2008-01-01

    modelling of enhanced geothermal systems. Geophys. J. Int. ,INTERACTIONS IN ENHANCED GEOTHERMAL SYSTEMS (EGS) Laurent

  12. MODEL BASED BIOMASS SYSTEM DESIGN OF FEEDSTOCK SUPPLY SYSTEMS FOR BIOENERGY PRODUCTION

    SciTech Connect (OSTI)

    David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden

    2013-08-01

    Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.

  13. RECONFIGURING POWER SYSTEMS TO MINIMIZE CASCADING FAILURES: MODELS AND ALGORITHMS

    SciTech Connect (OSTI)

    Bienstock, Daniel

    2014-04-11

    the main goal of this project was to develop new scientific tools, based on optimization techniques, with the purpose of controlling and modeling cascading failures of electrical power transmission systems. We have developed a high-quality tool for simulating cascading failures. The problem of how to control a cascade was addressed, with the aim of stopping the cascade with a minimum of load lost. Yet another aspect of cascade is the investigation of which events would trigger a cascade, or more appropriately the computation of the most harmful initiating event given some constraint on the severity of the event. One common feature of the cascade models described (indeed, of several of the cascade models found in the literature) is that we study thermally-induced line tripping. We have produced a study that accounts for exogenous randomness (e.g. wind and ambient temperature) that could affect the thermal behavior of a line, with a focus on controlling the power flow of the line while maintaining safe probability of line overload. This was done by means of a rigorous analysis of a stochastic version of the heat equation. we incorporated a model of randomness in the behavior of wind power output; again modeling an OPF-like problem that uses chance-constraints to maintain low probability of line overloads; this work has been continued so as to account for generator dynamics as well.

  14. Modeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems

    E-Print Network [OSTI]

    Loizou, Savvas G.

    of multiple-aircraft systems modeled as hybrid systems. With the advent of powerful formal verification toolsModeling and Control of Heterogeneous Non-Holonomic Input-Constrained Multiagent Systems Apollon S of the paper, we develop a modeling framework for heterogeneous multi-agent systems that is based on timed

  15. Traffic congestion forecasting model for the INFORM System. Final report

    SciTech Connect (OSTI)

    Azarm, A.; Mughabghab, S.; Stock, D.

    1995-05-01

    This report describes a computerized traffic forecasting model, developed by Brookhaven National Laboratory (BNL) for a portion of the Long Island INFORM Traffic Corridor. The model has gone through a testing phase, and currently is able to make accurate traffic predictions up to one hour forward in time. The model will eventually take on-line traffic data from the INFORM system roadway sensors and make projections as to future traffic patterns, thus allowing operators at the New York State Department of Transportation (D.O.T.) INFORM Traffic Management Center to more optimally manage traffic. It can also form the basis of a travel information system. The BNL computer model developed for this project is called ATOP for Advanced Traffic Occupancy Prediction. The various modules of the ATOP computer code are currently written in Fortran and run on PC computers (pentium machine) faster than real time for the section of the INFORM corridor under study. The following summarizes the various routines currently contained in the ATOP code: Statistical forecasting of traffic flow and occupancy using historical data for similar days and time (long term knowledge), and the recent information from the past hour (short term knowledge). Estimation of the empirical relationships between traffic flow and occupancy using long and short term information. Mechanistic interpolation using macroscopic traffic models and based on the traffic flow and occupancy forecasted (item-1), and the empirical relationships (item-2) for the specific highway configuration at the time of simulation (construction, lane closure, etc.). Statistical routine for detection and classification of anomalies and their impact on the highway capacity which are fed back to previous items.

  16. EIA model documentation: Petroleum market model of the national energy modeling system

    SciTech Connect (OSTI)

    1995-12-28

    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. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. 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.

  17. Nuisance Source Population Modeling for Radiation Detection System Analysis

    SciTech Connect (OSTI)

    Sokkappa, P; Lange, D; Nelson, K; Wheeler, R

    2009-10-05

    A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.

  18. A Model for the Bus System in Cuernevaca (Mexico)

    E-Print Network [OSTI]

    Jinho Baik; Alexei Borodin; Percy Deift; Toufic Suidan

    2005-10-19

    The bus transportation system in Cuernevaca, Mexico, has certain distinguished, innovative features and has been the subject of an intriguing, recent study by M. Krbalek and P. Seba. Krbalek and Seba analyzed the statistics of bus arrivals on Line 4 close to the city center. They studied, in particular, the bus spacing distribution and also the bus number variance measuring the fluctuations of the total number of buses arriving at a fixed location during a time interval T. Quite remarkably, it was found that these two statistics are well modeled by the Gaussian Unitary Ensemble (GUE) of random matrix theory. Our goal in this paper is to provide a plausible explanation of these observations, and to this end we introduce a microscopic model for the bus line that leads simply and directly to GUE.

  19. Thermal-Aware System-Level Modeling and Management for Multi-Processor Systems-on-Chip

    E-Print Network [OSTI]

    De Micheli, Giovanni

    -level MPC-based thermal modeling and management approaches on an industrial 8-core MPSoC design and show in voltage and frequency scaling waste additional power [6]. Thus, system-level thermal managementThermal-Aware System-Level Modeling and Management for Multi-Processor Systems-on-Chip Francesco

  20. Development of a natural Gas Systems Analysis Model (GSAM)

    SciTech Connect (OSTI)

    Godec, M.; Haas, M.; Pepper, W.; Rose, J.

    1993-12-31

    Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.

  1. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    E-Print Network [OSTI]

    2015-01-01

    systems, coupled earth system models (EaSMs) are essential.a new regional earth system model to inform natural andthe Community Earth System Model (CESM; www2.cesm.ucar.edu)

  2. STRUCTURAL VALIDATION OF SYSTEM DYNAMICS AND AGENT-BASED SIMULATION MODELS

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    , population dynamics, energy systems, and urban planning. The usefulness of these models is predicated including global warming, population dynamics, energy systems, and urban planning simply defy a face

  3. Modeling On-Site Utility Systems Using "APLUS" 

    E-Print Network [OSTI]

    Ranade, S. M.; Jones, D. H.; Shrec, S. C.

    1988-01-01

    stream_source_info ESL-IE-88-09-06.pdf.txt stream_content_type text/plain stream_size 20190 Content-Encoding ISO-8859-1 stream_name ESL-IE-88-09-06.pdf.txt Content-Type text/plain; charset=ISO-8859-1 MODELING ON-SITE... UTILITY SYSTEMS USING "APLUS" S. M. RANADE D. H. JONES S. C. SHREC Res. & Tech.Coord. Consultant Engineer ConsultantEngineer ICI-TENSA Services, Houston, Texas ABSTRACT Most energy saving schemes on industrial sites lead to reductions in the steam...

  4. National Energy Modeling System (United States) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation, searchsourceEnergyTexas:NGEN8Modeling System (United

  5. 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.

  6. Transportation Sector Demand Module of the National Energy Modeling System: Model Documentation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National Energy Modeling System: Model Documentation

  7. Transportation Sector Module of the National Energy Modeling System: Model Documentation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National Energy Modeling System: ModelModule of the

  8. System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies

    E-Print Network [OSTI]

    de Weck, Olivier L.

    System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing

  9. Modeling the Impact of Product Portfolio on the Economic and Environmental Performance of Recycling Systems

    E-Print Network [OSTI]

    Dahmus, Jeffrey B.

    hrough the development of a general model of electronics recycling systems, the effect of product portfolio choices on economic and environmental system performance is explored. The general model encompasses the three main ...

  10. Damage Modeling and Life Extending Control of a Boiler-Turbine System1

    E-Print Network [OSTI]

    Marquez, Horacio J.

    Damage Modeling and Life Extending Control of a Boiler-Turbine System1 Donglin Li Tongwen Chen2 hierarchical LEC structure and apply it to a typ- ical boiler system. There are two damage models

  11. Optimal Model of Distributed Energy System by Using GAMS and Case Study

    E-Print Network [OSTI]

    Yang, Yongwen; Gao, Weijun; Ruan, Yingjun; Xuan, Ji; Zhou, Nan; Marnay, Chris

    2005-01-01

    Optimal Model of Distributed Energy System by Using GAMS andEnergy Reliability, Distributed Energy Program of the U.S.Optimal Model of Distributed Energy System by Using GAMS and

  12. Thermoelectric Generators for Automotive Waste Heat Recovery Systems Part I: Numerical Modeling

    E-Print Network [OSTI]

    Xu, Xianfan

    Thermoelectric Generators for Automotive Waste Heat Recovery Systems Part I: Numerical Modeling (TEG) designed for automotive waste heat recovery systems. This model is capable of computing telluride TEMs. Key words: Thermoelectric generators, waste heat recovery, automotive exhaust, skutterudites

  13. Implementation and Initial Evaluation of the Glimmer Community Ice Sheet Model in the Community Earth System Model

    E-Print Network [OSTI]

    Born, Andreas

    2013) ABSTRACT The Glimmer Community Ice Sheet Model (Glimmer-CISM) has been implemented in the Community Earth System Model (CESM). Glimmer-CISM is forced by a surface mass balance (SMB) computed

  14. Forest Fire Model as a Supercritical Dynamic Model in Financial Systems

    E-Print Network [OSTI]

    Lee, Deokjae; Lee, Jeho; Kahng, B

    2015-01-01

    Recently, large-scale cascading failures in complex systems have garnered substantial attention. Such extreme events have been treated as an integral part of the self-organized criticality (SOC). Recent empirical work has suggested that some extreme events systematically deviate from the SOC paradigm, requiring a different theoretical framework. We shed additional theoretical light on this possibility by studying financial crisis. We build our model of financial crisis on the well-known forest fire model in scale-free networks. Our analysis shows a non-trivial scaling feature indicating supercritical behavior, which is independent of system size. Extreme events in the supercritical state result from bursting of a fat bubble, seeds of which are sown by a protracted period of a benign financial environment with few shocks. Our findings suggest that policymakers can control the magnitude of financial meltdowns by keeping the economy operating within reasonable duration of a benign environment.

  15. Inferring Likelihoods and Climate System Characteristics from Climate Models and Multiple

    E-Print Network [OSTI]

    Haran, Murali

    the information contained in large-scale observational data sets with simulations of Earth system models in a sta

  16. Power System Modeling of 20percent Wind-Generated Electricity by 2030

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01

    fueled power generation with wind energy reduces waterand water savings. Index Terms—power system modeling, wind

  17. Improving efficiency of a vehicle HVAC system with comfort modeling, zonal design, and thermoelectric devices

    Office of Energy Efficiency and Renewable Energy (EERE)

    Discusses progress on thermal comfort modeling and detailed design, fabrication, and component/system-level testing of TE architecture

  18. Spreader-Bar Radiation Detection System Enhancements: A Modeling and Simulation Study

    SciTech Connect (OSTI)

    Ely, James H.; Ashbaker, Eric D.; Batdorf, Michael T.; Baciak, James E.; Hensley, Walter K.; Jarman, Kenneth D.; Robinson, Sean M.; Sandness, Gerald A.; Schweppe, John E.

    2012-11-13

    This report provides the modeling and simulation results of the investigation of enhanced spreader bar radiation detection systems.

  19. Modeling the reactive inorganic solute distributions in the groundwater flow systems of the Hanford Site using inverse analytical modeling techniques 

    E-Print Network [OSTI]

    Adamski, Mark Robert

    1993-01-01

    Inverse analytical techniques were used to model solute distributions and determine transport parameters for two flow systems in the Yakima Basalt subgroup at the Hanford Site in Washington state. Previous studies of these flow systems used...

  20. Dimer Models, Integrable Systems and Quantum Teichmuller Space

    E-Print Network [OSTI]

    Sebastian Franco

    2011-07-05

    We introduce a correspondence between dimer models (and hence superconformal quivers) and the quantum Teichmuller space of the Riemann surfaces associated to them by mirror symmetry. Via the untwisting map, every brane tiling gives rise to a tiling of the Riemann surface with faces surrounding punctures. We explain how to obtain an ideal triangulation by dualizing this tiling. In order to do so, tiling nodes of valence greater than 3 (equivalently superpotential terms of order greater than 3 in the corresponding quiver gauge theories) must be decomposed by the introduction of 2-valent nodes. From a quiver gauge theory perspective, this operation corresponds to integrating-in massive fields. Fock coordinates in Teichmuller space are in one-to-one correspondence with chiral fields in the quiver. We present multiple explicit examples, including infinite families of theories, illustrating how the right number of Fock coordinates is generated by this procedure. Finally, we explain how Chekhov and Fock commutation relations between coordinates give rise to the commutators associated to dimer models by Goncharov and Kenyon in the context of quantum integrable systems. For generic dimer models (i.e. those containing nodes that are not 3-valent), this matching requires the introduction of a natural generalization of Chekhov and Fock rules. We also explain how urban renewal in the original brane tiling (Seiberg duality for the quivers) is mapped to flips of the ideal triangulation.

  1. Modeling interfacial area transport in multi-fluid systems

    SciTech Connect (OSTI)

    Yarbro, S.L.

    1996-11-01

    Many typical chemical engineering operations are multi-fluid systems. They are carried out in distillation columns (vapor/liquid), liquid-liquid contactors (liquid/liquid) and other similar devices. An important parameter is interfacial area concentration, which determines the rate of interfluid heat, mass and momentum transfer and ultimately, the overall performance of the equipment. In many cases, the models for determining interfacial area concentration are empirical and can only describe the cases for which there is experimental data. In an effort to understand multiphase reactors and the mixing process better, a multi-fluid model has been developed as part of a research effort to calculate interfacial area transport in several different types of in-line static mixers. For this work, the ensemble-averaged property conservation equations have been derived for each fluid and for the mixture. These equations were then combined to derive a transport equation for the interfacial area concentration. The final, one-dimensional model was compared to interfacial area concentration data from two sizes of Kenics in-line mixer, two sizes of concurrent jet and a Tee mixer. In all cases, the calculated and experimental data compared well with the highest scatter being with the Tee mixer comparison.

  2. Description of waste pretreatment and interfacing systems dynamic simulation model

    SciTech Connect (OSTI)

    Garbrick, D.J.; Zimmerman, B.D.

    1995-05-01

    The Waste Pretreatment and Interfacing Systems Dynamic Simulation Model was created to investigate the required pretreatment facility processing rates for both high level and low level waste so that the vitrification of tank waste can be completed according to the milestones defined in the Tri-Party Agreement (TPA). In order to achieve this objective, the processes upstream and downstream of the pretreatment facilities must also be included. The simulation model starts with retrieval of tank waste and ends with vitrification for both low level and high level wastes. This report describes the results of three simulation cases: one based on suggested average facility processing rates, one with facility rates determined so that approximately 6 new DSTs are required, and one with facility rates determined so that approximately no new DSTs are required. It appears, based on the simulation results, that reasonable facility processing rates can be selected so that no new DSTs are required by the TWRS program. However, this conclusion must be viewed with respect to the modeling assumptions, described in detail in the report. Also included in the report, in an appendix, are results of two sensitivity cases: one with glass plant water recycle steams recycled versus not recycled, and one employing the TPA SST retrieval schedule versus a more uniform SST retrieval schedule. Both recycling and retrieval schedule appear to have a significant impact on overall tank usage.

  3. Evolutionar y Fuzzy System Ensemble Appr oach to Model

    E-Print Network [OSTI]

    .: Evolutionary Fuzzy System Ensemble Approach ... #12; ( ( (S s ( ( ( ( Fuzzy system enetic Al or ithm ( s GFS

  4. Earth System Modeling Facility: Linking Climate to Cal-(IT)2 and OptIPuter

    E-Print Network [OSTI]

    Rose, Michael R.

    Earth System Modeling Facility: Linking Climate to Cal-(IT)2 and OptIPuter Charlie Zender in quantitatively-based environmental planning. #12;1. Overview Present: 1. Earth System Modeling Facility (ESMF) 2 and Planning #12;2. Earth System Modeling Facility (ESMF) Background: In 2003, NSF, UCI, & IGPP awarded $1.3M

  5. INVITED REVIEW Plant functional types in Earth system models: past experiences and future

    E-Print Network [OSTI]

    INVITED REVIEW Plant functional types in Earth system models: past experiences and future Published electronically: 2 May 2014 Background Earth system models describe the physical, chemical are to overcome these and other shortcomings. Key words: Plant functional types, PFT, Earth system model, ESM

  6. Simple models of district heating systems for load and demand side management

    E-Print Network [OSTI]

    Simple models of district heating systems for load and demand side management and operational Energiforskningsprogrammet EFP ENS J.nr. 1373/01-0041 December 2004 #12;Simple models of district heating systems for load 87-7475-323-1 #12;Preface The research project "Simple models of district heating systems for load

  7. Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution

    E-Print Network [OSTI]

    Gosavi, Abhijit

    Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed

  8. Abstraction and CounterexampleGuided Refinement in Model Checking of Hybrid Systems

    E-Print Network [OSTI]

    : Formal Verification, Abstraction, Model Checking, Hybrid Systems, Refinement, Counterexamples #12; 1Abstraction and Counterexample­Guided Refinement in Model Checking of Hybrid Systems Edmund Clarke a counterexample generated by the model checker. For hybrid systems, analysis of the counterexample requires

  9. Aalborg Universitet Thermal modeling and temperature control of a PEM fuel cell system for forklift

    E-Print Network [OSTI]

    Berning, Torsten

    Aalborg Universitet Thermal modeling and temperature control of a PEM fuel cell system for forklift., & Mortensen, H. H. (2014). Thermal modeling and temperature control of a PEM fuel cell system for forklift.aau.dk on: juli 07, 2015 #12;Thermal modeling and temperature control of a PEM fuel cell system for forklift

  10. NOAA's Office of Oceanic and Atmospheric Research Roundtable: Earth System Modeling

    E-Print Network [OSTI]

    Summary NOAA's Office of Oceanic and Atmospheric Research Roundtable: Earth System Modeling in Environmental Sciences at the University of Colorado, centered on Earth System Modeling and OAR's role develop and/or can use accurate and timely predictions of the Earth system that come from modeling. The 18

  11. Campus Sustainability Planetary Health Ecological Design Social and Environmental Enterprise Incuba-tion EcoVillages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model Energy

    E-Print Network [OSTI]

    Hayden, Nancy J.

    Villages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model Energy Conservation, Efficiency1 Campus Sustainability Planetary Health Ecological Design Social and Environmental Enterprise Incuba- tion EcoVillages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model

  12. 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.

  13. Modeling the transient operation of an endothermic fuel cooling system for high Mach number vehicle missions 

    E-Print Network [OSTI]

    Williams, Mark Robert

    1993-01-01

    A computer model was developed to simulate the transient operation of a hypothetical endothermic fuel cooling system. The model simulated the performance of a cross-flow, shell and tube heat exchanger. This model was applied to a representative...

  14. ASME Symposium on Modeling and Control Electrohydraulic Systems, Orlando, FL. November, 2000

    E-Print Network [OSTI]

    Li, Perry Y.

    ASME Symposium on Modeling and Control Electrohydraulic Systems, Orlando, FL. November, 2000 1 not present in previous models. The model has been coded in Simulink and experimentally validated. I

  15. PROGRESS REPORT 2008 A Scalable and Extensible Earth System Model for

    E-Print Network [OSTI]

    Pennycook, Steve

    PROGRESS REPORT 2008 A Scalable and Extensible Earth System Model for Climate Change Science Change Prediction Program (Dr. Anjuli Bamzai, program manager) #12;Progress Report for SciDAC CCSM Model...................................................................................................................2 3.1 Coupled Model Developments

  16. Dependability Modelling of Repairable Systems using Bayesian Networks Martin Neil *, David Marquez**

    E-Print Network [OSTI]

    Neil, Martin

    : We present a Hybrid Bayesian Network (HBN) framework to model the availability of renewable systems repair (renewal) distributions might be modelled using HBNs. Keywords: Bayesian Networks; Bayesian systems represented by a series of models each designed to model distinct stages in the renewal process

  17. Climate Sensitivity of the Community Climate System Model, Version 4

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

    Bitz, Cecilia M.; Shell, K. M.; Gent, P. R.; Bailey, D. A.; Danabasoglu, G.; Armour, K. C.; Holland, M. M.; Kiehl, J. T.

    2012-05-01

    Equilibrium climate sensitivity of the Community Climate System Model Version 4 (CCSM4) is 3.20°C for 1° horizontal resolution in each component. This is about a half degree Celsius higher than in the previous version (CCSM3). The transient climate sensitivity of CCSM4 at 1° resolution is 1.72°C, which is about 0.2°C higher than in CCSM3. These higher climate sensitivities in CCSM4 cannot be explained by the change to a preindustrial baseline climate. We use the radiative kernel technique to show that from CCSM3 to CCSM4, the global mean lapse-rate feedback declines in magnitude, and the shortwave cloud feedback increases. These twomore »warming effects are partially canceled by cooling due to slight decreases in the global mean water-vapor feedback and longwave cloud feedback from CCSM3 to CCSM4. A new formulation of the mixed-layer, slab ocean model in CCSM4 attempts to reproduce the SST and sea ice climatology from an integration with a full-depth ocean, and it is integrated with a dynamic sea ice model. These new features allow an isolation of the influence of ocean dynamical changes on the climate response when comparing integrations with the slab ocean and full-depth ocean. The transient climate response of the full-depth ocean version is 0.54 of the equilibrium climate sensitivity when estimated with the new slab ocean model version for both CCSM3 and CCSM4. We argue the ratio is the same in both versions because they have about the same zonal mean pattern of change in ocean surface heat flux, which broadly resembles the zonal mean pattern of net feedback strength.« less

  18. Communication Centric Modelling of System on Chip Devices Targeting Multi-Standard Telecommunication Applications

    E-Print Network [OSTI]

    Arslan, Tughrul

    part of tool is system modelling, which is used for quick simulation and system verification. In orderCommunication Centric Modelling of System on Chip Devices Targeting Multi characteristics e.g. throughput, power consumption of a reconfigurable WiMAX compliant system on chip. The four

  19. Model-Integrated Embedded Systems Akos Ledeczi, Arpad Bakay, and Miklos Maroti

    E-Print Network [OSTI]

    Maróti, Miklós

    Model-Integrated Embedded Systems Akos Ledeczi, Arpad Bakay, and Miklos Maroti Institute embedded systems. This paper describes a paradigm-independent, gen- eral infrastructure for the design and implementation of model-integrated embedded systems that is highly applicable to self-adaptive systems. 1

  20. Computer Modeling and Simulation of an Active Vision Camera System MingChin Lu

    E-Print Network [OSTI]

    Subbarao, Murali "Rao"

    Computer Modeling and Simulation of an Active Vision Camera System Ming­Chin Lu Communications of computer simulation systems. Computer simulation avoids the necessity of building actual camera systems. Based on the proposed model and algorithms, a computer simulation system called Active Vision Simulator

  1. Approximate model checking of stochastic hybrid systems , J.-P. Katoen

    E-Print Network [OSTI]

    Abate, Alessandro

    -room heating system. 1 Introduction Stochastic hybrid systems are a broad and widely applicable classApproximate model checking of stochastic hybrid systems A. Abate , J.-P. Katoen , J. Lygeros , and M. Prandini§ Abstract A method for approximate model checking of stochastic hybrid systems

  2. 2.141 Modeling and Simulation of Dynamic Systems, Fall 2002

    E-Print Network [OSTI]

    Hogan, Neville John

    Mathematical modeling of complex engineering systems at a level of detail compatible with the design and implementation of modern control systems. Wave-like and diffusive energy transmission systems. Multiport energy storing ...

  3. Entanglement dynamics in a model tripartite quantum system

    E-Print Network [OSTI]

    Pradip Laha; B. Sudarsan; S. Lakshmibala; V. Balakrishnan

    2015-09-23

    A system comprising a $\\Lambda$-type or V-type atom interacting with two radiation fields exhibits, during its dynamical evolution, interesting optical phenomena such as electromagnetically-induced transparency (EIT) and a variety of nonclassical effects. Signatures of the latter are seen in the entanglement dynamics of the atomic subsystem and in appropriate field observables. Some of these effects have been experimentally detected, and have even been used to change the nonlinear optical properties of certain atomic media. It is therefore useful to investigate the roles played by specific initial states of the radiation fields, detuning parameters, field nonlinearities and the nature of field-atom couplings on EIT and on the entanglement between subsystems. We investigate these aspects in the framework of a simple model that captures the salient features of such tripartite entangled systems. Entanglement dynamics is shown to be very sensitive to the intensity-dependent atom-field couplings. Unexpected interesting features pertaining to the collapses and revivals of the atomic subsystem von Neumann entropy appear. These features could, in principle, be useful in enabling entanglement.

  4. Thermochemical modeling of ceramic systems formed by combustion

    SciTech Connect (OSTI)

    Behrens, R.G.; Brush, H.T.

    1985-01-01

    Preliminary work showed that an appropriate stoichiometric mixture of yttrium, silicon dioxide, and graphite will react exothermically. However, the product which was formed was not the desired Y/sub 2/O/sub 3/ + SiC mixture, but rather a complex eutectic-like material. Preliminary attempts to ignite an exothermic reaction with an appropriate stoichiometric mixture of zirconium, silicon dioxide, and graphite (which was predicted to react and to form a ZrO/sub 2/ + SiC mixture) were not successful. The approach used to further study the high-temperature synthesis chemistry of these two complex chemical systems involved using equilibrium thermochemical modeling techniques. Parametric studies were performed to evaluate the effect of temperature and pressure on the gas and solid equilibrium phase relationships. While system temperature and pressure were varied in a systematic manner, stoichiometry of the reacting materials was held constant according to the equations 4Y + 3SiO/sub 2/ + 3C = 2Y/sub 2/O/sub 3/ + 3SiC and Zr + SiO/sub 2/ + C = ZrO/sub 2/ + SiC.

  5. Analysis of permafrost thermal dynamics and response to climate change in the CMIP5 Earth System Models

    E-Print Network [OSTI]

    Koven, C.D.

    2014-01-01

    coupled climate-carbon earth system models part i: PhysicalChange in the CMIP5 Earth System Models  Koven, C.D. , W.J.output from a set of Earth System Models (ESMs) (Table 1)

  6. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    E-Print Network [OSTI]

    2015-01-01

    a new regional earth system model to inform natural andsystems, coupled earth system models (EaSMs) are essential.coupled regional earth system models (EaSMs). Decision

  7. Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations

    E-Print Network [OSTI]

    2013-01-01

    and benchmarks in Earth system models sitivity of the Amazonand benchmarks in Earth system models Thornton, P. E. ,and evaluation of an Earth-System model – HadGEM2, Geosci-

  8. 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.

  9. Novel Actuating System Based on a Composite of Single-Walled Carbon Nanotubes and an Ionomeric Polymer

    E-Print Network [OSTI]

    Euler, William B.

    /NEMS technology [1]. Electrochemical and electromechanical properties of ionomeric polymer-metal composites (IPMCs, and relatively fast response time compared to ionic gels and conductive polymers . The most studied IPMC materialNovel Actuating System Based on a Composite of Single-Walled Carbon Nanotubes and an Ionomeric

  10. Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5

    E-Print Network [OSTI]

    Codron, Francis

    Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 J relevant to the climate system, it may be referred to as an Earth System Model. However, the IPSL-CM5 model climate and Earth System Models, both developed in France and contributing to the 5th coupled model

  11. Runtime Tracing of The Community Earth System Model: Feasibility and Benefits

    SciTech Connect (OSTI)

    Wang, Dali [ORNL] [ORNL; Domke, Jens [ORNL] [ORNL

    2011-01-01

    Community Earth System Models (CESM) is one of US's leading earth system modeling systems, which has over decades of development history and embraced by large, active user communities. In this paper, we first review the history of CESM software development and layout the general objectives of performance analysis. Then we present an offline global community land model simulation within the CESM framework to demonstrate the procedure of runtime tracing of CESM using the Vampir toolset. Finally, we explain the benefits of runtime tracing to the general earth system modeling community. We hope those considerations can also be beneficial to many other modeling research programs involving legacy high-performance computing applications.

  12. 3D City Model Generator: The Application of Neuro-Fuzzy Systems in CAD

    E-Print Network [OSTI]

    163 3D City Model Generator: The Application of Neuro-Fuzzy Systems in CAD Yoshihiro Kobayashi that generates 3D city models from satellite images is formulated, implemented, and tested. Techniques from operations. Therefore, it is expected to develop a system that will generate 3D city models more easily

  13. ForPeerReview A mixed-culture model of a probiotic biofilm control system

    E-Print Network [OSTI]

    Demaret, Laurent

    ForPeerReview Only A mixed-culture model of a probiotic biofilm control system Journal; Helmholtz Centre Munich, Biomathematics and Biometry Keywords: biofilm, probiotics, mathematical model;ForPeerReview Only A mixed-culture model of a probiotic biofilm control system Hermann J. Eberl1

  14. Mining for Statistical Models of Availability in Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Kondo, Derrick

    Mining for Statistical Models of Availability in Large-Scale Distributed Systems: An Empirical and Telecommunication Systems (MASCOTS 2009) B. Javadi (INRIA) Statistical Models of Availability MASCOTS 2009 1 / 34) Statistical Models of Availability MASCOTS 2009 2 / 34 #12;Introduction and Motivation P2P, Grid, Cloud

  15. Energy 32 (2007) 406417 Modeling and control of a SOFC-GT-based autonomous power system

    E-Print Network [OSTI]

    Foss, Bjarne A.

    2007-01-01

    Energy 32 (2007) 406­417 Modeling and control of a SOFC-GT-based autonomous power system Rambabu In this article, a dynamic, lumped model of a solid oxide fuel cell (SOFC) is described, as a step towards developing control relevant models for a SOFC combined with a gas turbine (GT) in an autonomous power system

  16. Abstract User Interfaces: A Model and Notation to Support Plasticity in Interactive Systems

    E-Print Network [OSTI]

    Cordy, James R.

    Abstract User Interfaces: A Model and Notation to Support Plasticity in Interactive Systems Kevin A introduces the Abstract User Interface (AUI) model and notation for specifying abstract interaction in interactive soft- ware systems with graphical, direct manipulation user interfaces. The AUI model is aimed

  17. When security meets software engineering: A case of modelling secure information systems

    E-Print Network [OSTI]

    When security meets software engineering: A case of modelling secure information systems Engineering: towards the Modeling of Secure Information Systems" paper presented at the 15th International. This is mainly because private information is stored in computer systems and without security, organisations (and

  18. Integrated Modeling of Process-and Data-Centric Software Systems with PHILharmonicFlows

    E-Print Network [OSTI]

    Ulm, Universität

    Integrated Modeling of Process- and Data-Centric Software Systems with PHILharmonicFlows Carolina--Process- and data-centric software systems require a tight integration of processes, functions, data, and users methodological guidance for modeling large process- and data-centric software systems based on PHILharmonic

  19. On the modeling of an instance of the electric power system -TECHNICAL REPORT RCL061201 -

    E-Print Network [OSTI]

    Firenze, Università degli Studi di

    On the modeling of an instance of the electric power system - TECHNICAL REPORT RCL061201-formalism/multi-solution tool is also discussed. Keywords: Electrical power system, interdependencies, modeling framework through which vital services are provided. Electrical Power System (EPS) are prominent representatives

  20. Bond Graph Modeling of Centrifugal Compressor System Nur Uddin and Jan Tommy Gravdahl

    E-Print Network [OSTI]

    Gravdahl, Jan Tommy

    . A model of a compression system with recycle flow is derived in this work. 1. INTRODUCTION Compressors are widely applied in industries, for exam- ples in pipeline natural gas transportation system, extraction in oil fields, and process chemical and petrochemical plants [1]. A model of a compression system

  1. Colouring Space -A Coloured Framework for Spatial Modelling in Systems Biology

    E-Print Network [OSTI]

    Gilbert, David

    , hy- brid Petri nets, spatial modelling, biomolecular networks, Systems Biology, BioModel Engineering- tributes of dynamic systems using coloured Petri nets and show how it can be applied to biological systems for the uncoloured family of Petri net classes. Keywords: Coloured Petri nets, qualitative, stochastic, continuous

  2. Prediction Models for a Smart Home based Health Care System Vikramaditya R. Jakkula1

    E-Print Network [OSTI]

    Cook, Diane J.

    Prediction Models for a Smart Home based Health Care System Vikramaditya R. Jakkula1 , Diane J health care. Smart health care systems at home can be used to provide such solutions. A technology a prediction model in an intelligent smart home system can be used for identifying health trends over time

  3. ENERGY MODELING OF A LEAD-ACID BATTERY WITHIN HYBRID WIND / PHOTOVOLTAIC SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ENERGY MODELING OF A LEAD-ACID BATTERY WITHIN HYBRID WIND / PHOTOVOLTAIC SYSTEMS O. GERGAUD, G Abstract: Within the scope of full-scale energy modeling of a hybrid wind / photovoltaic system coupled-power hybrid wind/photovoltaic production system (20 ASE modules for a 2- kW polycrystalline silicon peak

  4. Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV

    E-Print Network [OSTI]

    Van Veen, Barry D.

    Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV Penetration with field measurements. The model corresponds to an actual PV and DAS installation by Arizona Public Service and about 125 rooftop residential PV systems and two large scale PV systems. The total installed PV capacity

  5. FORMAL SEMANTICS AND VERIFICATION OF DYNAMIC RELIABILITY BLOCK DIAGRAMS FOR SYSTEM RELIABILITY MODELING

    E-Print Network [OSTI]

    Xu, Haiping

    that DRBD provides a powerful tool for system reliability modeling, and our proposed verification approachFORMAL SEMANTICS AND VERIFICATION OF DYNAMIC RELIABILITY BLOCK DIAGRAMS FOR SYSTEM RELIABILITY-scale computer-based systems. KEY WORDS Reliability modeling, dynamic reliability block diagrams (DRBD), Object

  6. Analytic solutions for the land temperature in an Earth system model of intermediate Mark Williamson

    E-Print Network [OSTI]

    Williamson, Mark

    Analytic solutions for the land temperature in an Earth system model of intermediate complexity the Earth system in high levels of spatial and/or temporal resolu- tion and the processes that they model. Analytic solutions for the temporal evolution of the land temperature are obtained for an Earth system

  7. DESIGN AND ANALYSIS OF THE SNS CCL HOT MODEL WATER COOLING SYSTEM USING THE SINDA/FLUINT NETWORK MODELING TOOL

    SciTech Connect (OSTI)

    C. AMMERMAN; J. BERNARDIN

    1999-11-01

    This report presents results for design and analysis of the hot model water cooling system for the Spallation Neutron Source (SNS) coupled-cavity linac (CCL). The hot model, when completed, will include segments for both the CCL and coupled-cavity drift-tube linac (CCDTL). The scope of this report encompasses the modeling effort for the CCL portion of the hot model. This modeling effort employed the SINDA/FLUINT network modeling tool. This report begins with an introduction of the SNS hot model and network modeling using SINDA/FLUINT. Next, the development and operation of the SINDA/FLUINT model are discussed. Finally, the results of the SINDA/FLUINT modeling effort are presented and discussed.

  8. Atmospheric Carbon Dioxide Variability in the Community Earth System Model: Evaluation and Transient Dynamics during the Twentieth and Twenty-First Centuries

    E-Print Network [OSTI]

    2013-01-01

    in the Community Earth System Model: Evaluation andpredictions from CMIP5 Earth system models and comparisonusing the Community Earth System Model–Biogeochemistry (

  9. Atmospheric Carbon Dioxide Variability in the Community Earth System Model: Evaluation and Transient Dynamics during the Twentieth and Twenty-First Centuries

    E-Print Network [OSTI]

    2013-01-01

    predictions from CMIP5 Earth system models and comparisonin the Community Earth System Model: Evaluation andusing the Community Earth System Model–Biogeochemistry (

  10. A Proposed Implementation of Tarjan's Algorithm for Scheduling the Solution Sequence of Systems of Federated Models

    SciTech Connect (OSTI)

    McNunn, Gabriel S; Bryden, Kenneth M

    2013-01-01

    Tarjan's algorithm schedules the solution of systems of equations by noting the coupling and grouping between the equations. Simulating complex systems, e.g., advanced power plants, aerodynamic systems, or the multi-scale design of components, requires the linkage of large groups of coupled models. Currently, this is handled manually in systems modeling packages. That is, the analyst explicitly defines both the method and solution sequence necessary to couple the models. In small systems of models and equations this works well. However, as additional detail is needed across systems and across scales, the number of models grows rapidly. This precludes the manual assembly of large systems of federated models, particularly in systems composed of high fidelity models. This paper examines extending Tarjan's algorithm from sets of equations to sets of models. The proposed implementation of the algorithm is demonstrated using a small one-dimensional system of federated models representing the heat transfer and thermal stress in a gas turbine blade with thermal barrier coating. Enabling the rapid assembly and substitution of different models permits the rapid turnaround needed to support the “what-if” kinds of questions that arise in engineering design.

  11. Delivering Document Management Systems Through the ASP Model

    E-Print Network [OSTI]

    Furht, Borko

    -the-shelf software products that complement Database Management Systems (DBMS). DBMS typically store structured data systems store, retrieve, and manage unstructured data, such as files, text, spreadsheets, images, sound Management Systems The traditional approach in document management systems is based on the client

  12. Algebra of systems: A metalanguage for model synthesis and evaluation

    E-Print Network [OSTI]

    de Weck, Olivier L.

    ." Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions On 39.3 (2009) : 501;IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 39, NO. 3, MAY of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. He is now

  13. Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01

    In the original fuel cell optimization model [11], only theIn the original fuel cell optimization model, only the dryof the fuel cell system and optimization of the operating

  14. Geographic information system (GIS) and simulation model for management of irrigation districts 

    E-Print Network [OSTI]

    Nazarov, Azimjon S.

    2000-01-01

    . It consists of IRDDESS (Irrigation District Decision Support System), a crop growth and district simulation model that was integrated into ArcView GIS software. To demonstrate the usefulness of the model, its predictions were compared with those observed...

  15. Reliability Modeling and Simulation of Composite Power Systems with Renewable Energy Resources and Storage 

    E-Print Network [OSTI]

    Kim, Hagkwen

    2013-05-24

    This research proposes an efficient reliability modeling and simulation methodology in power systems to include photovoltaic units, wind farms and storage. Energy losses by wake effect in a wind farm are incorporated. Using the wake model, wind...

  16. Networking technology adoption : system dynamics modeling of fiber-to-the-home

    E-Print Network [OSTI]

    Kelic, Andjelka, 1972-

    2005-01-01

    A system dynamics model is developed and run to study the adoption of fiber-to-the-home as a residential broadband technology. Communities that currently do not have broadband in the United States are modeled. This case ...

  17. Using designer confidence and a dynamic Monte Carlo simulation tool to evaluate uncertainty in system models

    E-Print Network [OSTI]

    Lyons, Jeffrey M. (Jeffrey Michael), 1973-

    2000-01-01

    As the use of distributed engineering models becomes more prevalent, engineers need tools to evaluate the quality of these models and understand how subsystem uncertainty affects predictions of system behavior. This thesis ...

  18. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process 

    E-Print Network [OSTI]

    Lin, Chen-Han

    2014-11-21

    This thesis presents a hybrid model based and statistical fault diagnosis system, which applied on the nonlinear three-tank model. The purpose of fault diagnosis is generating and analyzing the residual to find out the fault occurrence. This fault...

  19. Visual Information Systems Pr. Robert Laurini Chapter II: GIS: Data Modeling 1

    E-Print Network [OSTI]

    Laurini, Robert

    Visual Information Systems Pr. Robert Laurini Chapter II: GIS: Data Modeling 1 Chapter II sciences · Archaeology · Big real estate planning and management · etc GIS: Data Modeling · 2. Robert Laurini Chapter II: GIS: Data Modeling 2 2.1 ­ Geographic Data Modeling · Discrete Objects

  20. Comparing FRACHEM and TOUGHREACT for reactive transport modeling of brine-rock interactions in enhanced geothermal systems (EGS)

    E-Print Network [OSTI]

    Andre, L.; Spycher, N.; Xu, T.; Pruess, K.; Vuataz, F.-D.

    2008-01-01

    modeling for geothermal systems: predicting carbonate andmodelling of enhanced geothermal systems. Geophys. J. Int. ,IN ENHANCED GEOTHERMAL SYSTEMS (EGS) Laurent André (1) ,