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1

Electricity Markets Analysis (EMA) Model | Open Energy Information  

Open Energy Info (EERE)

Electricity Markets Analysis (EMA) Model Electricity Markets Analysis (EMA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Electricity Markets Analysis (EMA) Model Agency/Company /Organization: Research Triangle Institute Sector: Energy Topics: Co-benefits assessment, - Energy Access, Market analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Electricity Markets Analysis (EMA) Model Screenshot References: Electricity Markets Analysis (EMA) Model[1]

2

A Logical Framework for Modelling eMAS  

Science Conference Proceedings (OSTI)

We investigate how to explicitly represent organizational structures in epistemic multi-agent systems (eMAS). We introduce a logical framework F suitable for representing organizational structures for epistemic agents, and provide its declarative ...

Pierangelo Dell'Acqua; Luís Moniz Pereira

2003-01-01T23:59:59.000Z

3

Energy Materials Coordinating Committee (EMaCC)  

SciTech Connect

This report summarizes EMaCC activities for fiscal year 1990 and describes the materials research programs of various offices and divisions within the department. The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further the effective use of materials expertise within the department. (JL)

1991-05-31T23:59:59.000Z

4

Energy Materials Coordinating Committee (EMaCC)  

SciTech Connect

This report summarizes EMaCC activities for fiscal year 1990 and describes the materials research programs of various offices and divisions within the department. The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department's materials programs and to further the effective use of materials expertise within the department. (JL)

Not Available

1991-05-31T23:59:59.000Z

5

Date | 1Refrigeration and Air Conditioning EMA Education and Training Date | 2Refrigeration and Air Conditioning EMA Education and Training  

E-Print Network (OSTI)

Date | 1Refrigeration and Air Conditioning EMA Education and Training #12;Date | 2Refrigeration Flow Coil Design etc. Finger Print Relationship Every evaporator is unique Unstable Region * = examples

Oak Ridge National Laboratory

6

Applied Dynamic Analysis of the Global Economy (ADAGE) Model | Open Energy  

Open Energy Info (EERE)

Applied Dynamic Analysis of the Global Economy (ADAGE) Model Applied Dynamic Analysis of the Global Economy (ADAGE) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Agency/Company /Organization: Research Triangle Institute Sector: Climate, Energy Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Electricity Markets Analysis (EMA) Model Cost: Paid Applied Dynamic Analysis of the Global Economy (ADAGE) Model Screenshot

7

Energy Materials Coordinating Committee (EMaCC): Fiscal year 1996. Annual technical report  

Science Conference Proceedings (OSTI)

The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. The EMaCC reports to the Director of the Office of Energy Research in his or her capacity as overseer of the technical programs of the Department. This annual technical report is mandated by the EMaCC terms of reference. This report summarizes EMaCC activities for FY 1996 and describes the materials research programs of various offices and divisions within the Department.

NONE

1997-08-01T23:59:59.000Z

8

Energy Materials Coordinating Committee (EMaCC) Fiscal Year 1999 annual technical report  

SciTech Connect

The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1999 and describes the materials research programs of various offices and divisions within the Department.

None

2000-10-31T23:59:59.000Z

9

NREL: Energy Analysis - Geothermal Technology Analysis Models...  

NLE Websites -- All DOE Office Websites (Extended Search)

Integration Energy Analysis Search More Search Options Site Map Printable Version Geothermal Technology Analysis Models and Tools The following is a list of models and tools...

10

Energy Materials Coordinating Committee (EMaCC): Annual technical report, fiscal year 1993  

SciTech Connect

The DOE Energy Materials Coordinating Committee (EMaCC) serves primarily to enhance coordination among the Department`s materials programs and to further effective use of materials expertise within the Department. These functions are accomplished through the exchange of budgetary and planning information among program managers and through technical meetings/workshops on selected topics involving both DOE and major contractors. In addition, EMaCC assists in obtaining materials-related inputs for both intra- and interagency compilations. This report summarizes EMaCC activities for FY 1993 and describes the materials research programs of various offices and divisions within the Department. The program descriptions consist of a funding summary for each Assistant Secretary office and the Office of Energy Research, and detailed project summaries with project goals and accomplishments. The FY 1993 budget summary table for DOE Materials Activities in each of the programs is presented.

Not Available

1994-07-01T23:59:59.000Z

11

The EMA system: a CTI based e-mail alerting service  

Science Conference Proceedings (OSTI)

The integration of Internet services and telephony services is a new area for the development of telecommunications services. One example is an e-mail alerting service that uses the telephony network for e-mail notification. The EMA system is a computer ...

D. Frank; H. Lucic; M. Opsenica; L. Puksec; M. Zic; S. Brajkovic; V. Maricic

2000-02-01T23:59:59.000Z

12

Models in Decision Analysis  

E-Print Network (OSTI)

Any statistical analysis or decision analysis contains numerical inputs of which we are unsure. Some of our uncertainty arises from physical randomness which we can model in various ways, ideally through probability. Some relates to judgmental estimates of qualities about which we may be unsure in many different respects. There are other uncertainties involved, however: some relates to ambiguity and imprecision of meaning; some relate to lack of clarity in the objectives which the analysis seeks to meet; some relate to the numerical accuracy of calculations. Suppose, for instance, that we need to consider the probability of a conservative government being returned at the next election. The probability, a subjective probability, itself is a number that the statistician or decision maker has to judge. In some ways it may be related to 'hard' data, but there will always be an element of judgement in setting its value. But one might also ask: what is meant by a 'conservative' government; ...

Simon French

1993-01-01T23:59:59.000Z

13

Energy Materials Coordinating Committee (EMaCC), Fiscal year 1992. Annual technical report  

SciTech Connect

The DOE EMaCC serves to coordinate the department`s materials programs and to further effective use of materials expertise within the department. This document presents summaries of budgets and of research projects, arranged according to the offices of energy efficiency and renewable energy, energy research, environmental restoration and waste management, nuclear energy, civilian radioactive waste management, defense, and fossil energy. A directory and a keyword index are included.

1993-05-01T23:59:59.000Z

14

SDI CFD MODELING ANALYSIS  

SciTech Connect

The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and elevation of transfer pump for minimum sludge disturbance. (2) An empirical equation for a tank with no cooling coils agrees reasonably with the current modeling results for the dual jet. (3) From the sensitivity study of the cooling coils, it was found that the tank mixing time for the coiled tank was about two times longer than that of the tank fluid with no coils under the 1/10th scale, while the coiled tank required only 50% longer than the one without coils under the full scale Tank 50H. In addition, the time difference is reduced when the pumping U{sub o}d{sub o} value is increased for a given tank. (4) The blending time for T-shape dual jet pump is about 20% longer than that of 15{sup o} upward V-shape pump under the 1/10th pilot-scale tank, while the time difference between the two pumps is about 12% for the full-scale Tank 50H. These results are consistent with the literature information. (5) A transfer pump with a solid-plate suction screen operating at 130 gpm can be located 9.5 inches above settled sludge for 2 in screen height in a 85 ft waste tank without disturbing any sludge. Detailed results are summarized in Table 13. Final pump performance calculations were made by using the established CW pump design, and operating conditions to satisfy the two requirements of minimum sludge disturbance, and adequate blending of tank contents. The final calculation results show that the blending times for the coiled and uncoiled tanks coupled with the CW pump design are 159 and 83 minutes, respectively. All the results are provided in Table 16.

Lee, S.

2011-05-05T23:59:59.000Z

15

Piecewise Linear Modeling and Analysis  

Science Conference Proceedings (OSTI)

From the Publisher:Piecewise Linear Modeling and Analysis explains in detail all possible model descriptions to efficiently store piecewise linear functions starting with the Chua descriptions. Detailed explanation on how the model parameter can be obtained ...

Domine M. W. Leenaerts; Wim M. Van Bokhoven

1998-07-01T23:59:59.000Z

16

Hydrogen Delivery Analysis Models  

NLE Websites -- All DOE Office Websites (Extended Search)

model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural Interstate markets and demand levels (Mkt....

17

Enterprise modeling and analysis: an enterprise modeling and analysis toolkit  

Science Conference Proceedings (OSTI)

A fully integrated modeling and analysis toolkit, which facilitates multi-perspective knowledge capturing, sharing and reusing, is necessary for today's enterprises to meet the challenges of the ever more competitive global marketplace. In this paper ...

Dursun Delen; Perakath C. Benjamin

2000-12-01T23:59:59.000Z

18

Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Parallel Execution of Local Actions  

Science Conference Proceedings (OSTI)

The refined model for the biologically inspired agent-based computation systems EMAS and iEMAS conforming to the BDI standard is presented. Moreover, their evolution is expressed in the form of the stationary Markov chains. This paper generalizes the ... Keywords: Multi-agent systems, agent-based computation, stochastic modeling

Robert Schaefer; Aleksander Byrski; Maciej Smo?ka

2009-04-01T23:59:59.000Z

19

ROCK PROPERTIES MODEL ANALYSIS MODEL REPORT  

SciTech Connect

The purpose of this Analysis and Model Report (AMR) is to document Rock Properties Model (RPM) 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties models are intended principally for use as input to numerical physical-process modeling, such as of ground-water flow and/or radionuclide transport. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. This work was conducted in accordance with the following planning documents: WA-0344, ''3-D Rock Properties Modeling for FY 1998'' (SNL 1997, WA-0358), ''3-D Rock Properties Modeling for FY 1999'' (SNL 1999), and the technical development plan, Rock Properties Model Version 3.1, (CRWMS M&O 1999c). The Interim Change Notice (ICNs), ICN 02 and ICN 03, of this AMR were prepared as part of activities being conducted under the Technical Work Plan, TWP-NBS-GS-000003, ''Technical Work Plan for the Integrated Site Model, Process Model Report, Revision 01'' (CRWMS M&O 2000b). The purpose of ICN 03 is to record changes in data input status due to data qualification and verification activities. These work plans describe the scope, objectives, tasks, methodology, and implementing procedures for model construction. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The work scope for this activity consists of the following: (1) Conversion of the input data (laboratory measured porosity data, x-ray diffraction mineralogy, petrophysical calculations of bound water, and petrophysical calculations of porosity) for each borehole into stratigraphic coordinates; (2) Re-sampling and merging of data sets; (3) Development of geostatistical simulations of porosity; (4) Generation of derivative property models via linear coregionalization with porosity; (5) Post-processing of the simulated models to impart desired secondary geologic attributes and to create summary and uncertainty models; and (6) Conversion of the models into real-world coordinates. The conversion to real world coordinates is performed as part of the integration of the RPM into the Integrated Site Model (ISM) 3.1; this activity is not part of the current analysis. The ISM provides a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site and consists of three components: (1) Geologic Framework Model (GFM); (2) RPM, which is the subject of this AMR; and (3) Mineralogic Model. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 1. Figure 2 shows the geographic boundaries of the RPM and other component models of the ISM.

Clinton Lum

2002-02-04T23:59:59.000Z

20

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

NREL: Energy Analysis - Models and Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

Most of these tools can be applied on a global, regional, local, or project basis. Energy Data for Decision Makers Crosscutting Analysis Models and Tools Technology Analysis Models...

22

Threshold 21 Model | Open Energy Information  

Open Energy Info (EERE)

Threshold 21 Model Threshold 21 Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Threshold 21 Model Agency/Company /Organization: Millennium Institute Sector: Climate Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools Complexity/Ease of Use: Moderate Website: www.millenniuminstitute.net/integrated_planning/tools/T21/index.html#r Cost: Free Threshold 21 Model Screenshot References: Threshold 21 Model[1] Related Tools MIT Emissions Prediction and Policy Analysis (EPPA) Model Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Electricity Markets Analysis (EMA) Model

23

Vehicle Technologies Office: Modeling, Testing and Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Testing and Modeling, Testing and Analysis to someone by E-mail Share Vehicle Technologies Office: Modeling, Testing and Analysis on Facebook Tweet about Vehicle Technologies Office: Modeling, Testing and Analysis on Twitter Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Google Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Delicious Rank Vehicle Technologies Office: Modeling, Testing and Analysis on Digg Find More places to share Vehicle Technologies Office: Modeling, Testing and Analysis on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by

24

NREL: Energy Analysis - Market Analysis Models and Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Analysis Search More Search Options Site Map Printable Version Market Analysis Models and Tools The following is a list of models and tools that are used for market...

25

Ventilation Model and Analysis Report  

Science Conference Proceedings (OSTI)

This model and analysis report develops, validates, and implements a conceptual model for heat transfer in and around a ventilated emplacement drift. This conceptual model includes thermal radiation between the waste package and the drift wall, convection from the waste package and drift wall surfaces into the flowing air, and conduction in the surrounding host rock. These heat transfer processes are coupled and vary both temporally and spatially, so numerical and analytical methods are used to implement the mathematical equations which describe the conceptual model. These numerical and analytical methods predict the transient response of the system, at the drift scale, in terms of spatially varying temperatures and ventilation efficiencies. The ventilation efficiency describes the effectiveness of the ventilation process in removing radionuclide decay heat from the drift environment. An alternative conceptual model is also developed which evaluates the influence of water and water vapor mass transport on the ventilation efficiency. These effects are described using analytical methods which bound the contribution of latent heat to the system, quantify the effects of varying degrees of host rock saturation (and hence host rock thermal conductivity) on the ventilation efficiency, and evaluate the effects of vapor and enhanced vapor diffusion on the host rock thermal conductivity.

V. Chipman

2003-07-18T23:59:59.000Z

26

TANK48 CFD MODELING ANALYSIS  

SciTech Connect

The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.

Lee, S.

2011-05-17T23:59:59.000Z

27

NREL: Energy Analysis - Models and Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

infrastructure analysis model. Biomass Scenario Model (BSM) Determine which supply chain changes would have the greatest potential to accelerate the deployment of biofuels....

28

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research ...

29

CLEERS Aftertreatment Modeling and Analysis  

Science Conference Proceedings (OSTI)

DOE FY 2011 Advanced Combustion Technologies Annual Report. CLEERS is a research and development focus project of the Diesel Cross-Cut Team. The overall objective is to promote the development of improved computational tools for simulating realistic full-system performance of lean-burn engines and the associated emissions control systems. Three fundamental research projects are sponsored at PNNL through CLEERS: DPF, SCR, and LNT. Resources are shared between the three efforts in order to actively respond to current industrial needs. In FY 2011, more emphasis was placed on the SCR and LNT activities because of urgent application issues associated with these technologies. Objectives of this project are to lead and contribute to the Cross-Cut Lean Exhaust Emissions Reduction Simulations (CLEERS) activities - (a) Provide project updates to the industry sub-team, solicit feedback, and adjust work scope accordingly; and (b) Lead technical discussions, invite distinguished speakers, and maintain an open dialogue on selective catalytic reduction (SCR), lean-NOx trap (LNT), and diesel particulate filter (DPF) modeling issues. Fiscal Year (FY) 2011 Objectives are to: (1) Develop improved modeling capabilities for SCR and DPFs through fundamental experiments; and (2) Develop a fundamental understanding of SCR and LNT catalysts with primary focus on reaction mechanisms and material characterization. Some accomplishments are: (1) Participated in monthly CLEERS teleconferences and coordinated the calls focused on SCR, LNT and DPF technologies; (2) Updated PNNL's SCR model for the state-of-the-art commercial Cu-zeolite SCR catalyst to extract kinetic parameters and to quantitatively describe the effects of hydrothermal aging; (3) Examined the effects of hydrothermal aging on the physicochemical properties and SCR reactions using the commercial Cu catalyst in collaboration with Oak Ridge National Laboratory (ORNL); (4) Investigated the nature of Cu species and obtained kinetic parameters for small-pore zeolite-based Cu SCR catalyst. (5) Examined the effects of support materials for Ba-based LNT catalysts, and found magnesium aluminate may improve the oxides of nitrogen (NO{sub x}) reduction performance at high temperatures; (6) Investigated soot oxidation mechanisms for relevant oxidants (O{sub 2}, NO{sub 2}) through reactor experiments and transmission electron spectroscopy (TEM) analysis; (7) Seven publications and 21 public presentations (eight invited) during the past FY; and (8) Co-organized sessions on emission control and modeling for the SAE World Congress and the American Society of Mechanical Engineers Internal Combustion Engine Conference.

Devarakonda, Maruthi N.; Herling, Darrell R.; Kim, Do Heui; Kwak, Ja Hun; Peden, Charles HF; Stewart, Mark L.; Strzelec, Andrea; Szanyi, Janos; Tran, Diana N.; Lee, Jong H.

2012-02-08T23:59:59.000Z

30

Transportation Analysis, Modeling, and Simulation (TAMS) Application  

E-Print Network (OSTI)

Transportation Analysis, Modeling, and Simulation (TAMS) Application Center for Transportation Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Center for Transportation Analysis (CTA) TAMS application is a web-based tool that supports

31

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research institutions have ...

32

Energy Infrastructure Modeling and Analysis (EIMA)  

Energy.gov (U.S. Department of Energy (DOE))

The Energy Infrastructure Modeling and Analysis (EIMA) Division is focused on ensuring the reliability and resiliency of the U.S. electric grid through robust analytical, modeling, and assessment...

33

DOE Hydrogen Analysis Repository: Hydrogen Modeling Projects  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling Projects Modeling Projects Below are models grouped by topic. These models are used to analyze hydrogen technology, infrastructure, and other areas related to the development and use of hydrogen. Cross-Cutting Distributed Energy Resources Customer Adoption Model (DER_CAM) Hydrogen Deployment System (HyDS) Model and Analysis Hydrogen Technology Assessment and Selection Model (HyTASM) Renewable Energy Power System Modular Simulator (RPM-Sim) Stranded Biogas Decision Tool for Fuel Cell Co-Production Energy Infrastructure All Modular Industry Growth Assessment (AMIGA) Model Building Energy Optimization (BEopt) Distributed Energy Resources Customer Adoption Model (DER_CAM) Hydrogen Deployment System (HyDS) Model and Analysis Hydrogen Technology Assessment and Selection Model (HyTASM)

34

Bifurcation Analysis of Various Power System Models  

E-Print Network (OSTI)

Bifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated induction motor and impedance load supplied by an under-load tap-changer transformer and an equivalent

Cañizares, Claudio A.

35

SQLSAM: SQL for statistical analysis and modeling  

Science Conference Proceedings (OSTI)

Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental ... Keywords: SQL, SQLSAM, business, business data processing, business decision making, continuous probability distributions, data visualisation, decision support systems, discrete probability distributions, graphic visualization, inferences, inferential statistics, organization databases, probability, query languages, regression analysis, standard database language, statistical analysis, statistical databases, statistical modeling, statistics

J. Choobineh; A. Kini

1995-01-01T23:59:59.000Z

36

Modeling and Analysis Session: Market, Value, and Policy Analysis (Presentation)  

DOE Green Energy (OSTI)

The Primary objectives: to provide a broad range of analytical support to the Solar Program; and to anticipate and respond to the rapidly evolving analytical needs of the Solar Program. Three broad types of analysis are being carried out under this project including: (1) Market analysis: Developing a PV market penetration model--the SolarDS model--and other tools, in order to gain insight into the factors influencing market penetration of PV technology in U.S. markets. (2) Value analysis: Providing inputs to, support for, and review of the annual GPRA benefits analysis. Also developing methods and tools for improving the quantification of the benefits and cost of solar technologies. (3) Policy analysis: Defining and carrying out analysis that meets the needs of the Solar Energy Technologies Program in a timely fashion, for example evaluating the potential role of solar in the energy economy in the long-term.

Margolis, R. M.

2008-04-01T23:59:59.000Z

37

DOE Hydrogen Analysis Repository: Hydrogen Transition Model ...  

NLE Websites -- All DOE Office Websites (Extended Search)

Report ArticleAbstract Title: VII.11 Development of HyTrans Model and Integrated Scenario Analysis Page number(s): 1307 Publisher: U.S. Department of Energy Author...

38

DOE Hydrogen Analysis Repository: GREET Model  

NLE Websites -- All DOE Office Websites (Extended Search)

GREET Model GREET Model Project Summary Full Title: Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) Model Project ID: 84 Principal Investigator: Michael Wang Keywords: Well-to-wheels (WTW); emissions; greenhouse gases (GHG); fuel cell vehicles (FCV) Purpose GREET supports Milestone 24 of the Systems Analysis activity of the DOE Hydrogen Program: Complete baseline economic, energy efficiency, and environmental targets for fossil, nuclear and renewable hydrogen production and delivery technologies. GREET also supports the 3rd objective listed in the DOE Hydrogen Program's Systems Analysis Plan: Well-to-Wheels Analysis: Conduct on-going, integrated well-to-wheels analysis of hydrogen pathways for introducing hydrogen as a transportation fuel. The analysis

39

Vehicle Technologies Office: Modeling, Testing and Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Testing and Analysis Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by modeling, testing, and analysis. This work complements the research on batteries, power electronics, and materials, helping researchers integrate these components and ensure the whole vehicle meets consumer and commercial needs. Modeling allows researchers to build "virtual vehicles" that simulate fuel economy, emissions and performance of a potential vehicle. The Office has supported the development of several software-based analytic tools that researchers can use or license. Integration and Validation allows researchers to test physical component and subsystem prototypes as if they are in a real vehicle. Laboratory and Fleet Testing provides data on PEVs through both dynamometer and on-the-road testing. Researchers use the data to benchmark current vehicles, as well as validate the accuracy of software models.

40

Combustion instability modeling and analysis  

DOE Green Energy (OSTI)

It is well known that the two key elements for achieving low emissions and high performance in a gas turbine combustor are to simultaneously establish (1) a lean combustion zone for maintaining low NO{sub x} emissions and (2) rapid mixing for good ignition and flame stability. However, these requirements, when coupled with the short combustor lengths used to limit the residence time for NO formation typical of advanced gas turbine combustors, can lead to problems regarding unburned hydrocarbons (UHC) and carbon monoxide (CO) emissions, as well as the occurrence of combustion instabilities. The concurrent development of suitable analytical and numerical models that are validated with experimental studies is important for achieving this objective. A major benefit of the present research will be to provide for the first time an experimentally verified model of emissions and performance of gas turbine combustors. The present study represents a coordinated effort between industry, government and academia to investigate gas turbine combustion dynamics. Specific study areas include development of advanced diagnostics, definition of controlling phenomena, advancement of analytical and numerical modeling capabilities, and assessment of the current status of our ability to apply these tools to practical gas turbine combustors. The present work involves four tasks which address, respectively, (1) the development of a fiber-optic probe for fuel-air ratio measurements, (2) the study of combustion instability using laser-based diagnostics in a high pressure, high temperature flow reactor, (3) the development of analytical and numerical modeling capabilities for describing combustion instability which will be validated against experimental data, and (4) the preparation of a literature survey and establishment of a data base on practical experience with combustion instability.

Santoro, R.J.; Yang, V.; Santavicca, D.A. [Pennsylvania State Univ., University Park, PA (United States); Sheppard, E.J. [Tuskeggee Univ., Tuskegee, AL (United States). Dept. of Aerospace Engineering

1995-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect

Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

Macumber, D.

2012-10-01T23:59:59.000Z

42

Arabic texts analysis for topic modeling evaluation  

Science Conference Proceedings (OSTI)

Significant progress has been made in information retrieval covering text semantic indexing and multilingual analysis. However, developments in Arabic information retrieval did not follow the extraordinary growth of Arabic usage in the Web during the ... Keywords: Arabic stemming, Classification, Linguistic analysis, Test collections, Topic model

Abderrezak Brahmi; Ahmed Ech-Cherif; Abdelkader Benyettou

2012-02-01T23:59:59.000Z

43

Speech Under Stress: Analysis, Modeling and Recognition  

Science Conference Proceedings (OSTI)

In this chapter, we consider a range of issues associated with analysis, modeling, and recognition of speech under stress. We start by defining stress, what could be perceived as stress, and how it affects the speech production system. In the discussion ... Keywords: Lombard effect, Teager energy operator, hidden Markov models, pitch contours, robustness in speech recognition, speech technology, stress classification

John H. Hansen; Sanjay Patil

2007-02-01T23:59:59.000Z

44

Automated analysis of security-design models  

Science Conference Proceedings (OSTI)

We have previously proposed SecureUML, an expressive UML-based language for constructing security-design models, which are models that combine design specifications for distributed systems with specifications of their security policies. Here, we show ... Keywords: Formal analysis, Metamodels, OCL, SecureUML, Security policies, UML

David Basin; Manuel Clavel; Jürgen Doser; Marina Egea

2009-05-01T23:59:59.000Z

45

EM probes characterisation for security analysis  

Science Conference Proceedings (OSTI)

Along with the vast use of cryptography in security devices came the emergence of attacks like Electro-Magnetic analysis (EMA) where the measurement of the Electro-Magnetic (EM) waves radiated from an integrated circuit are used to extract sensitive ... Keywords: CEMA, correlation analysis, electro-magnetic analysis, probes, side channel information leakage

Benjamin Mounier; Anne-Lise Ribotta; Jacques Fournier; Michel Agoyan; Assia Tria

2012-01-01T23:59:59.000Z

46

Modeling window optics for building energy analysis  

SciTech Connect

This report discusses modeling the optics of windows for the purposes of simulating building energy requirements or daylighting availability. The theory for calculating the optical performance of conventional windows is reviewed. The simplifications that might commonly be made in creating computational models are analyzed. Some of the possibilities for more complex windows are analyzed, and the type of model and data that would be necessary to simulate such windows in a building energy analysis program are determined. It is shown that the optical performance of different window types can be simulated with models which require varying amounts of memory or computing time. It is recommended that a building energy analysis program have all models available and use the most efficient for any given window.

Walton, G.N.

1986-07-01T23:59:59.000Z

47

Energy Analysis Models, Tools and Software Technologies - Energy ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

48

Cryogenic Fuel Tank Draining Analysis Model  

E-Print Network (OSTI)

One of the technological challenges in designing advanced hypersonic aircraft and the next generation of spacecraft is developing reusable flight-weight cryogenic fuel tanks. As an aid in the design and analysis of these cryogenic tanks, a computational fluid dynamics (CFD) model has been developed specifically for the analysis of flow in a cryogenic fuel tank. This model employs the full set of Navier-Stokes equations, except that viscous dissipation is neglected in the energy equation. An explicit finite difference technique in two-dimensional generalized coordinates, approximated to second-order accuracy in both space and time is used. The stiffness resulting from the low Mach number is resolved by using artificial compressibility. The model simulates the transient, two-dimensional draining of a fuel tank cross section. To calculate the slosh wave dynamics the interface between the ullage gas and liquid fuel is modeled as a free surface. Then, experimental data for free convection i...

Donald Greer Research; Donald Greer

1999-01-01T23:59:59.000Z

49

Event Model Interfaces for Heterogeneous System Analysis  

E-Print Network (OSTI)

Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. The embedded system designer faces the challenge to integrate, optimize and verify the resulting heterogeneous systems. While formal verification is available for some subproblems, the analysis of the whole system is currently limited to simulation or emulation. In this paper, we tackle the analysis of global resource sharing, scheduling, and buffer sizing in heterogeneous embedded systems. For many practically used preemptive and non-preemptive hardware and software scheduling algorithms of processors and busses, semi-formal analysis techniques are known. However, they cannot be used in system level analysis due to incompatibilities of their underlying event models. This paper presents a technique to couple the analysis of local scheduling strategies via an event interface model. We derive transformation rules between the most important event models and provide proofs where necessary. We use expressive examples to illustrate their application.

Kai Richter; Rolf Ernst

2002-01-01T23:59:59.000Z

50

Update 6 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 Update 6 to: A Dispersion Modeling Analysis of Downwash from...

51

Update 3 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together Update 3 to: A Dispersion Modeling Analysis of Downwash...

52

Update 1 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of...

53

NREL: Energy Analysis - Models and Tools Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

Models and Tools Archive Models and Tools Archive Through the years, NREL has developed and supported several models and tools to assess, analyze, and optimize renewable energy and energy efficiency technologies. Some of these have been transferred to the private market. This page lists tools we have supported, but that are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. In 2003, ADVISOR was commercialized by AVL Powertrain Engineering, Inc. Hybrid2 Conduct detailed long-term performance and economic analysis on a wide variety of hybrid power systems. RET Finance Calculate the cost of energy of renewable electricity generation

54

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect

Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

2012-08-01T23:59:59.000Z

55

Bayesian Analysis of Errors-in-Variables Growth Curve Models  

E-Print Network (OSTI)

Mixture Models. In Robust Bayesian Analysis. Lecture NotesA. (2004). Nonparametric Bayesian Data Analysis. Statistical95-110. West, M. (1990). Bayesian Kernel Density Estimation.

Huang, Hung-Jen

2010-01-01T23:59:59.000Z

56

Thermodynamic modeling of transcription: sensitivity analysis differentiates biological mechanism from mathematical model-induced effects  

E-Print Network (OSTI)

as: Dresch et al. : Thermodynamic modeling of transcription:ARTICLE Open Access Thermodynamic modeling of transcription:on the analysis of thermodynamic models, which have been

Dresch, Jacqueline M; Liu, Xiaozhou; Arnosti, David N; Ay, Ahmet

2010-01-01T23:59:59.000Z

57

Adaptive time-frequency analysis based on autoregressive modeling  

Science Conference Proceedings (OSTI)

A new adaptive method for discrete time-frequency analysis based on autoregressive (AR) modeling is introduced. The performance of AR modeling often depends upon a good selection of the model order. The predictive least squares (PLS) principle of Rissanen ... Keywords: Adaptive filters, Autoregressive modeling, Least squares methods, Model order, Time-frequency analysis

Antonio H. Costa; Stephan Hengstler

2011-04-01T23:59:59.000Z

58

DOE Hydrogen Analysis Repository: H2A Production Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Production Model Project Summary Full Title: H2A Hydrogen Production Cost Analysis Model Project ID: 219 Principal Investigator: Todd Ramsden Brief Description: The H2A Production...

59

DOE Hydrogen Analysis Repository: FLOW Model  

NLE Websites -- All DOE Office Websites (Extended Search)

FLOW Model FLOW Model Project Summary Full Title: Chemical Engineering Process Simulation Platform - FLOW Project ID: 131 Principal Investigator: Juan Ferrada Brief Description: FLOW is a steady-state chemical process simulator. Modules have been developed for supply chain calculations, micro-economic calculations, and other calculations. Purpose Simulate steady-state chemical processes to support hydrogen infrastructure and transition analysis. Performer Principal Investigator: Juan Ferrada Organization: Oak Ridge National Laboratory (ORNL) Address: Bethel Valley 1, Bldg 5700, N217 Oak Ridge, TN 37831-6166 Telephone: 865-574-4998 Email: ferradajj@ornl.gov Sponsor(s) Name: Fred Joseck Organization: DOE Hydrogen Program Telephone: 202-586-7932 Email: Fred.Joseck@ee.doe.gov

60

Analysis of boiling experiment using inverse modeling  

DOE Green Energy (OSTI)

Numerical predictions of geothermal reservoir behavior strongly depend on the assumed steam-water relative permeabilities, which are difficult and time-consuming to measure in the laboratory. This paper describes the esti- mation of the parameters of the relative per- meability and capillary pressure functions by automatically matching simulation results to data from a transient boiling experiment performed on a Berea sandstone. A sensitivity analysis reveals the strong dependence of the observed system behavior on effects such as heat transfer from the heater to the core, as well as heat losses through the insulation. Parameters of three conceptual models were estimated by inverse modeling. Each calibra- tion yields consistent effective steam perme- abilities, but the shape of the liquid relative permeability remains ambiguous.

Finsterle, S.; Guerrero, M.; Satik, C.

1998-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

MODELING ANALYSIS FOR GROUT HOPPER WASTE TANK  

SciTech Connect

The Saltstone facility at Savannah River Site (SRS) has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout nuclear waste slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The primary objective of the work was to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady state analyses with a two-equation turbulence model were performed. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet.

Lee, S.

2012-01-04T23:59:59.000Z

62

Grounding Analysis in Heterogeneous Soil Models: Application to Underground Substations  

E-Print Network (OSTI)

Grounding Analysis in Heterogeneous Soil Models: Application to Underground Substations Ignasi in forthcoming publications. Keywords-grounding analysis; earthing analysis, underground substations; I to a river (at substations next to hydroelectric dams), or the grounding system of a buried electrical

Colominas, Ignasi

63

Kernel principal component analysis for stochastic input model generation  

Science Conference Proceedings (OSTI)

Stochastic analysis of random heterogeneous media provides useful information only if realistic input models of the material property variations are used. These input models are often constructed from a set of experimental samples of the underlying random ... Keywords: Data-driven models, Flow in random porous media, Kernel principal component analysis, Non-linear model reduction, Stochastic partial differential equations

Xiang Ma; Nicholas Zabaras

2011-08-01T23:59:59.000Z

64

Update 4 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads Update 4 to: A Dispersion Modeling...

65

Update 2 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Update 2 to: A Dispersion Modeling...

66

Update 5 to: A Dispersion Modeling Analysis of Downwash from...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit Update 5 to: A Dispersion Modeling...

67

A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration  

Science Conference Proceedings (OSTI)

The increasing complexity of ecosystem models represents a major difficulty in tuning model parameters and analyzing simulated results. To address this problem, this study develops a hierarchical scheme that simplifies the Biome-BGC model into three functionally cascaded tiers and analyzes them sequentially. The first-tier model focuses on leaf-level ecophysiological processes; it simulates evapotranspiration and photosynthesis with prescribed leaf area index (LAI). The restriction on LAI is then lifted in the following two model tiers, which analyze how carbon and nitrogen is cycled at the whole-plant level (the second tier) and in all litter/soil pools (the third tier) to dynamically support the prescribed canopy. In particular, this study analyzes the steady state of these two model tiers by a set of equilibrium equations that are derived from Biome-BGC algorithms and are based on the principle of mass balance. Instead of spinning-up the model for thousands of climate years, these equations are able to estimate carbon/nitrogen stocks and fluxes of the target (steady-state) ecosystem directly from the results obtained by the first-tier model. The model hierarchy is examined with model experiments at four AmeriFlux sites. The results indicate that the proposed scheme can effectively calibrate Biome-BGC to simulate observed fluxes of evapotranspiration and photosynthesis; and the carbon/nitrogen stocks estimated by the equilibrium analysis approach are highly consistent with the results of model simulations. Therefore, the scheme developed in this study may serve as a practical guide to calibrate/analyze Biome-BGC; it also provides an efficient way to solve the problem of model spin-up, especially for applications over large regions. The same methodology may help analyze other similar ecosystem models as well.

Thornton, Peter E [ORNL; Wang, Weile [ORNL; Law, Beverly E. [Oregon State University; Nemani, Ramakrishna R [NASA Ames Research Center

2009-01-01T23:59:59.000Z

68

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Analysis Modeling System (PAMS) Analysis Modeling System (PAMS) (Redirected from Policy Analysis Modeling System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

69

Global Trade and Analysis Project (GTAP) Model | Open Energy Information  

Open Energy Info (EERE)

Global Trade and Analysis Project (GTAP) Model Global Trade and Analysis Project (GTAP) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Global Trade Analysis Project (GTAP) Model Agency/Company /Organization: Purdue University Sector: Climate, Energy Topics: Baseline projection, - Macroeconomic, Market analysis, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.gtap.agecon.purdue.edu/models/current.asp Cost: Free References: GTAP[1] Related Tools IGES GHG Calculator For Solid Waste ICCT Roadmap Model Applied Dynamic Analysis of the Global Economy (ADAGE) Model

70

Modular analysis and modelling of risk scenarios with dependencies  

Science Conference Proceedings (OSTI)

The risk analysis of critical infrastructures such as the electric power supply or telecommunications is complicated by the fact that such infrastructures are mutually dependent. We propose a modular approach to the modelling and analysis of risk scenarios ... Keywords: Critical infrastructure, Dependency, Modular risk analysis, Risk scenario, Threat modelling

Gyrd Brændeland; Atle Refsdal; Ketil Stølen

2010-10-01T23:59:59.000Z

71

Bayesian models for DNA microarray data analysis  

E-Print Network (OSTI)

Selection of signi?cant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of variables (genes), the selection process can be unstable. This research proposes a hierarchical Bayesian model for gene (variable) selection. We employ latent variables in a regression setting and use a Bayesian mixture prior to perform the variable selection. Due to the binary nature of the data, the posterior distributions of the parameters are not in explicit form, and we need to use a combination of truncated sampling and Markov Chain Monte Carlo (MCMC) based computation techniques to simulate the posterior distributions. The Bayesian model is ?exible enough to identify the signi?cant genes as well as to perform future predictions. The method is applied to cancer classi?cation via cDNA microarrays. In particular, the genes BRCA1 and BRCA2 are associated with a hereditary disposition to breast cancer, and the method is used to identify the set of signi?cant genes to classify BRCA1 and others. Microarray data can also be applied to survival models. We address the issue of how to reduce the dimension in building model by selecting signi?cant genes as well as assessing the estimated survival curves. Additionally, we consider the wellknown Weibull regression and semiparametric proportional hazards (PH) models for survival analysis. With microarray data, we need to consider the case where the number of covariates p exceeds the number of samples n. Speci?cally, for a given vector of response values, which are times to event (death or censored times) and p gene expressions (covariates), we address the issue of how to reduce the dimension by selecting the responsible genes, which are controlling the survival time. This approach enables us to estimate the survival curve when n << p. In our approach, rather than ?xing the number of selected genes, we will assign a prior distribution to this number. The approach creates additional ?exibility by allowing the imposition of constraints, such as bounding the dimension via a prior, which in e?ect works as a penalty. To implement our methodology, we use a Markov Chain Monte Carlo (MCMC) method. We demonstrate the use of the methodology with (a) di?use large B??cell lymphoma (DLBCL) complementary DNA (cDNA) data and (b) Breast Carcinoma data. Lastly, we propose a mixture of Dirichlet process models using discrete wavelet transform for a curve clustering. In order to characterize these time??course gene expresssions, we consider them as trajectory functions of time and gene??speci?c parameters and obtain their wavelet coe?cients by a discrete wavelet transform. We then build cluster curves using a mixture of Dirichlet process priors.

Lee, Kyeong Eun

2006-05-01T23:59:59.000Z

72

Modeling and Simulation - Center for Transportation Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

and route airlift (CAMPS), and key components for the Department of Energy's National Energy Modeling System. We have designed and developed models for personal computers,...

73

Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting...  

NLE Websites -- All DOE Office Websites (Extended Search)

on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen Delivery, Storage and Fuel Pathway Integration Tech Teams May 8-9, 2007 Energetics...

74

System Design, Analysis, Modeling, and Media Engineering Properties...  

NLE Websites -- All DOE Office Websites (Extended Search)

modeling and simulations of * various storage systems configurations. Lead the storage system energy analysis and provide * results. Compile and obtain media engineering...

75

ME EET Seminar: MODELING, SIMULATION AND ANALYSIS OF INTEGRATED...  

NLE Websites -- All DOE Office Websites (Extended Search)

Contacts Media Contacts ME EET Seminar: MODELING, SIMULATION AND ANALYSIS OF INTEGRATED BUILDING ENERGY AND CONTROL SYSTEMS Speaker(s): Michael Wetter Date: October 21, 2009 -...

76

Modeling, Simulation and Analysis of Integrated Building Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

Us Department Contacts Media Contacts Modeling, Simulation and Analysis of Integrated Building Energy and Control Systems Speaker(s): Michael Wetter Date: August 10, 2009 -...

77

TSPA Model Development and Sensitivity Analysis of Processes...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and Sensitivity Analysis of Processes Affecting...

78

Analysis of Timescales of Response of a Simple Climate Model  

Science Conference Proceedings (OSTI)

A detailed analysis is made of various analytic solutions to a 0D climate model coupled to an upwelling diffusion ocean model. In particular, the responses to impulse, step-function, exponential, and linear forcings are addressed. The coupled ...

Robert E. Dickinson; Kimberly J. Schaudt

1998-01-01T23:59:59.000Z

79

TIPPtool: Compositional Specification and Analysis of Markovian Performance Models  

Science Conference Proceedings (OSTI)

In this short paper we briefly describe a tool which is based on a Markovian stochastic process algebra. The tool offers both model specification and quantitative model analysis in a compositional fashion, wrapped in a userfriendly graphical front-end.

Holger Hermanns; Vassilis Mertsiotakis; Markus Siegle

1999-07-01T23:59:59.000Z

80

Modeling and Hazard Analysis Using Stpa  

E-Print Network (OSTI)

A joint research project between MIT and JAXA/JAMSS is investigating the application of a new hazard analysis to the system and software in the HTV. Traditional hazard analysis focuses on component failures but software ...

Ishimatsu, Takuto

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

A framework for formal modeling and analysis of organizations  

Science Conference Proceedings (OSTI)

A new, formal, role-based, framework for modeling and analyzing both real world and artificial organizations is introduced. It exploits static and dynamic properties of the organizational model and includes the (frequently ignored) environment. The transition ... Keywords: Analysis, Computational, Logic-based, Modeling, Organization model, Simulation, Verification

Catholijn M. Jonker; Alexei Sharpanskykh; Jan Treur; Pinar Yolum

2007-08-01T23:59:59.000Z

82

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Policy Analysis Modeling System (PAMS) Policy Analysis Modeling System (PAMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

83

MIT Emissions Prediction and Policy Analysis (EPPA) Model | Open Energy  

Open Energy Info (EERE)

MIT Emissions Prediction and Policy Analysis (EPPA) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: MIT Emissions Prediction and Policy Analysis (EPPA) Model Agency/Company /Organization: Massachusetts Institute of Technology (MIT) Topics: Analysis Tools Complexity/Ease of Use: Not Available Website: dspace.mit.edu/handle/1721.1/29790 Cost: Free Related Tools IGES GHG Calculator For Solid Waste Energy and Power Evaluation Program (ENPEP) Regional Economic Models, Inc. (REMI) Model ... further results The part of the MIT Integrated Global Systems Model (IGSM) that represents human systems; a recursive-dynamic multi-regional general equilibrium model

84

Bayesian Analysis of MTD/BMTD Models  

E-Print Network (OSTI)

and Chinese Restaurant Process . . . . . . . . . . . . 107107 Posteriors Chinese Restaurant Partition Rules . . . . .Model with DP Chinese Restaurant Representation ix Determine

Song, Huiming

2011-01-01T23:59:59.000Z

85

NREL: Energy Analysis - Models and Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

wind resource data in 13 developing countries. Contact Dan Getman for more information. Scenario Evaluation, Regionalization and Analysis (SERA) Determine optimal production and...

86

Genome Analysis and Systems Modeling Group  

NLE Websites -- All DOE Office Websites (Extended Search)

(Microbial Genomes) Pipeline, Comprehensive Genome Analysis Pipeline Genome Channel, Java applet for the comprehensive sequence-based view of genomes. Grail, a tool for the...

87

Bayesian Analysis of MTD/BMTD Models  

E-Print Network (OSTI)

105 Bayesian Analysis and Chinese RestaurantFunction . . . . . . . . . . . 3.2.3 Bayesian Method and ItsPros . . . . . . . . . . . . . .3.3 Bayesian Method with EM

Song, Huiming

2011-01-01T23:59:59.000Z

88

MARCIE: model checking and reachability analysis done efficiently  

Science Conference Proceedings (OSTI)

MARCIE is a tool for the analysis of generalized stochastic Petri nets which can be augmented by rewards. The supported analysis methods range from qualitative and quantitative standard properties to model checking of established temporal logics. MARCIE's ... Keywords: generalized stochastic petri nets, model checking, simulation

Monika Heiner, Christian Rohr, Martin Schwarick

2013-06-01T23:59:59.000Z

89

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

DOE Green Energy (OSTI)

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

Blair, N.

2008-04-01T23:59:59.000Z

90

Linking Bayesian networks and PLS path modeling for causal analysis  

Science Conference Proceedings (OSTI)

Causal knowledge based on causal analysis can advance the quality of decision-making and thereby facilitate a process of transforming strategic objectives into effective actions. Several creditable studies have emphasized the usefulness of causal analysis ... Keywords: Bayesian network, Causal analysis, PLS path modeling

Wei Wen Wu

2010-01-01T23:59:59.000Z

91

Grounding Analysis in Heterogeneous Soil Models: Application to Underground Substations  

Science Conference Proceedings (OSTI)

Most of the research and development work done until now in earthing analysis is devoted to cases where the soil can be modelled in terms of an homogeneous and isotropic semi-infinite continuous medium, being the soil resistivity an order of magnitude ... Keywords: grounding analysis, earthing analysis, underground substations

Ignasi Colominas; Jose Paris; Xesus Nogueira; Fermin Navarrina; Manuel Casteleiro

2012-05-01T23:59:59.000Z

92

Partnership for Economic Policy Modeling and Policy Impact Analysis (MPIA)  

Open Energy Info (EERE)

Partnership for Economic Policy Modeling and Policy Impact Analysis (MPIA) Partnership for Economic Policy Modeling and Policy Impact Analysis (MPIA) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Modeling and Policy Impact Analysis (MPIA) Model Agency/Company /Organization: Partnership for Economic Policy Sector: Climate, Energy Complexity/Ease of Use: Advanced Website: www.pep-net.org/programs/mpia/ Cost: Free Related Tools Asia-Pacific Integrated Model (AIM) SEAGA Intermediate Level Handbook Poverty Social Impact Analysis ... further results A computable general equilibrium model that accounts for the interactions among sectors and institutions, and their links with the global economy. A

93

NREL: Energy Analysis - Energy Sciences Technology Analysis Models...  

NLE Websites -- All DOE Office Websites (Extended Search)

of system flexibility. It can also evaluate the role of enabling technologies such as demand response and energy storage. It is an updated version of the PVFlex model described in...

94

DOE Hydrogen Analysis Repository: VISION Model  

NLE Websites -- All DOE Office Websites (Extended Search)

VISION Model VISION Model Project Summary Full Title: VISION Model Project ID: 77 Principal Investigator: Margaret Singh Brief Description: Estimates the potential energy use, oil use and carbon emission impacts of advanced light- and heavy-duty highway vehicles and alternative fuels through 2050. Keywords: Alternative fueled vehicles (AFV); hybrid electric vehicles (HEV); fuel cell vehicles (FCV); emissions; greenhouse gases (GHG) Purpose The VISION model has been developed by US DOE to provide estimates of the potential energy use, oil use and carbon emission impacts to 2050 of advanced light- and heavy-duty highway vehicles and alternative fuels. It is an Excel spreadsheet model which is particularly useful in responding to quick-turnaround requests for such estimates. It is updated annually to be

95

Mathematical Models in Landscape Ecology: Stability Analysis and Numerical Tests  

Science Conference Proceedings (OSTI)

In the present paper a review of some mathematical models for the ecological evaluation of environmental systems is considered. Moreover a new model, capable to furnish more detailed information at the level of landscape units, is proposed. Numerical ... Keywords: 34D05, 92F05, Landscape ecology, Mathematical models, Stability analysis

Federica Gobattoni; Giuliana Lauro; Roberto Monaco; Raffaele Pelorosso

2013-06-01T23:59:59.000Z

96

Settlement Prediction, Gas Modeling and Slope Stability Analysis  

E-Print Network (OSTI)

Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu using mechanical models Simulation of gas generation, transport and extraction in MSW landfill 1 models Simulation of gas generation, transport and extraction in MSW landfill 1) Analytical solution

Politècnica de Catalunya, Universitat

97

Global sensitivity analysis of stochastic computer models with joint metamodels  

Science Conference Proceedings (OSTI)

The global sensitivity analysis method used to quantify the influence of uncertain input variables on the variability in numerical model responses has already been applied to deterministic computer codes; deterministic means here that the same set of ... Keywords: Computer experiment, Gaussian process, Generalized additive model, Joint modeling, Sobol indices, Uncertainty

Amandine Marrel; Bertrand Iooss; Sébastien Veiga; Mathieu Ribatet

2012-05-01T23:59:59.000Z

98

Analysis of Markov Reward Models using Zerosuppressed Multiterminal BDDs  

E-Print Network (OSTI)

. Performance variables (PV) enable the modeler to define complex per­ formance and dependabilityAnalysis of Markov Reward Models using Zero­suppressed Multi­terminal BDDs K. Lampka and M. Siegle of systems and quantitative measures of in­ terest. The underlying Markov reward models (MRMs) of­ ten

Lampka, Kai

99

Nuclear Systems Modeling and Design Analysis - Nuclear Engineering Division  

NLE Websites -- All DOE Office Websites (Extended Search)

Nuclear Systems Nuclear Systems Modeling and Design Analysis CAPABILITIES Overview Nuclear Systems Modeling and Design Analysis Nuclear Systems Technologies Risk and Safety Assessments Nonproliferation and National Security Materials Testing Engineering Computation & Design Engineering Experimentation Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Capabilities Nuclear Systems Modeling and Design Analysis Bookmark and Share Reactor Physics and Fuel Cycle Analysis Reactor Physics and Fuel Cycle Analysis We have played a major role in the design and analysis of most existing and past reactor types and of many

100

Trajectory Analysis and Semantic Region Modeling Using A Nonparametric Bayesian Model  

E-Print Network (OSTI)

We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, in an unsupervised way. In our approach, ...

Grimson, Eric

2008-06-24T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

ParaText : scalable text modeling and analysis.  

Science Conference Proceedings (OSTI)

Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.

Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.

2010-06-01T23:59:59.000Z

102

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Sila...

103

A Hybrid Model for Hydroturbine Generating Unit Trend Analysis  

Science Conference Proceedings (OSTI)

According to the nonlinear and nonstationary characteristics of hydroelectricity systems, an hybrid prediction model based on wavelet transform and support vector machines is proposed in this paper for the trend analysis of hydroturbine generating unit ...

Min Zou; Jianzhong Zhou; Zhong Liu; Liangliang Zhan

2007-08-01T23:59:59.000Z

104

DOE Hydrogen Analysis Repository: Macro-System Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Macro-System Model Macro-System Model Project Summary Full Title: Macro-System Model (MSM) Project ID: 66 Principal Investigator: Mark Ruth Brief Description: Federated object model framework is used to link other models to perform rapid cross-cutting analysis. Keywords: Transition; well-to-wheels (WTW); renewable; hydrogen production; emissions; cost Purpose Perform rapid cross-cutting analysis by utilizing and linking other models. This work will also improve consistency between models. Analyses that require the MSM will be used to support decisions regarding programmatic investments and focus of funding and to estimate program outputs and outcomes. Performer Principal Investigator: Mark Ruth Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd.

105

TSPA Model Development and Sensitivity Analysis of Processes Affecting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TSPA Model Development and Sensitivity Analysis of Processes TSPA Model Development and Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste The document describes the initial work on designing and developing requirements for a total system performance assessment (TSPA) model that can support preliminary safety assessments for a mined geologic repository for high-level waste (HLW) and spent nuclear fuel (SNF) in salt host rock at a generic site. A preliminary generic salt TSPA model for HLW/SNF disposal has been developed and tested for an isothermal repository in salt, for emplaced waste that is assumed to have no decay heat; for salt

106

On guided model-based analysis for ear biometrics  

Science Conference Proceedings (OSTI)

Ears are a new biometric with a major advantage in that they appear to maintain their structure with increasing age. Current approaches have exploited 2D and 3D images of the ear in human identification. Contending that the ear is mainly a planar shape ... Keywords: Biometrics, Ear biometrics, Ear embryology, Model-based analysis, Occlusion analysis

Banafshe Arbab-Zavar; Mark S. Nixon

2011-04-01T23:59:59.000Z

107

The development of electromechanical actuators (EMAs) is the key technology to build an all-electric aircraft. One of the  

E-Print Network (OSTI)

on military aircraft poses a challenge in the design of the whole driving train, from the motor Element Analysis (FEA) is widely used in today's mechanical, electronic and aerodynamic designs. However. To address thermal management under limited cooling options, accurate spatial and temporal information

Wu, Shin-Tson

108

COMPUTATIONAL FLUID DYNAMICS MODELING ANALYSIS OF COMBUSTORS  

DOE Green Energy (OSTI)

In the current fiscal year FY01, several CFD simulations were conducted to investigate the effects of moisture in biomass/coal, particle injection locations, and flow parameters on carbon burnout and NO{sub x} inside a 150 MW GEEZER industrial boiler. Various simulations were designed to predict the suitability of biomass cofiring in coal combustors, and to explore the possibility of using biomass as a reburning fuel to reduce NO{sub x}. Some additional CFD simulations were also conducted on CERF combustor to examine the combustion characteristics of pulverized coal in enriched O{sub 2}/CO{sub 2} environments. Most of the CFD models available in the literature treat particles to be point masses with uniform temperature inside the particles. This isothermal condition may not be suitable for larger biomass particles. To this end, a stand alone program was developed from the first principles to account for heat conduction from the surface of the particle to its center. It is envisaged that the recently developed non-isothermal stand alone module will be integrated with the Fluent solver during next fiscal year to accurately predict the carbon burnout from larger biomass particles. Anisotropy in heat transfer in radial and axial will be explored using different conductivities in radial and axial directions. The above models will be validated/tested on various fullscale industrial boilers. The current NO{sub x} modules will be modified to account for local CH, CH{sub 2}, and CH{sub 3} radicals chemistry, currently it is based on global chemistry. It may also be worth exploring the effect of enriched O{sub 2}/CO{sub 2} environment on carbon burnout and NO{sub x} concentration. The research objective of this study is to develop a 3-Dimensional Combustor Model for Biomass Co-firing and reburning applications using the Fluent Computational Fluid Dynamics Code.

Mathur, M.P.; Freeman, Mark (U.S. DOE National Energy Technology Laboratory); Gera, Dinesh (Fluent, Inc.)

2001-11-06T23:59:59.000Z

109

An Empirical Analysis of Bulk Cn2 Models over Water  

Science Conference Proceedings (OSTI)

This article examines some of the difficulties associated with the determination of C2n over water in a coastal region using a bulk model. The analysis shows the need to supplement bulk models with elements that do not belong to traditional Monin–...

Guy Potvin; Denis Dion; Jacques Claverie; Paul A. Frederickson; Kenneth L. Davidson; J. Luc Forand

2008-12-01T23:59:59.000Z

110

Semiparametric Bayesian Analysis of Selection Models Jaeyong Lee  

E-Print Network (OSTI)

Semiparametric Bayesian Analysis of Selection Models Jaeyong Lee National Institute of Statistical Science James O. Berger Duke University Abstract Selection models are appropriate when a datum x enters it to be of some particular functional form. By introducing latent variables related to the selection mechanism

Berger, Jim

111

Modeling Tools for Solid Oxide Fuel Cell Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Tools for Solid Oxide Fuel Tools for Solid Oxide Fuel Cell Design and Analysis Moe A Khaleel BJ Koeppel, W Liu, K Lai, KP Recknagle, EM Ryan, EV Stephens, X Sun Pacific Northwest National Laboratory Richland, WA 99352 11 th Annual SECA Workshop Pittsburgh, PA July 27-29, 2009 1 PNNL SOFC Modeling Tools SOFC-MP Stack level model for fast analysis of co/counter-flow SOFC stack performance Detailed electrochemistry model Cell level model for the investigation of secondary reactions (degradation/contamination) mechanisms within the tri-layer Component-based design and performance modeling Contact material Interconnect Glass seal 2 SOFC-MP Stack Simulation Code Recent Accomplishments Major memory improvements of 3D model to accommodate 50-cell stacks on LINUX platform. Previously, developed a 2D (or stacked

112

DOE Hydrogen Analysis Repository: Policy Office Electricity Modeling System  

NLE Websites -- All DOE Office Websites (Extended Search)

Policy Office Electricity Modeling System (POEMS) Policy Office Electricity Modeling System (POEMS) Project Summary Full Title: Policy Office Electricity Modeling System (POEMS) Project ID: 93 Principal Investigator: Lessly Goudarzi Purpose Designed and built by OnLocation specifically to address electricity industry restructuring issues Performer Principal Investigator: Lessly Goudarzi Organization: OnLocation, Inc. Address: Suite 300, 501 Church Street Vienna, VA 22180 Telephone: 703-938-5151 Email: goudarzi@onlocationinc.com Project Description Type of Project: Model Category: Energy Infrastructure Products/Deliverables Description: National Transmission Grid Study - Appendix A Publication Title: Policy Office Electricty Modeling System (POEMS) and Documentation for Transmission Analysis (PDF 461 KB) Download Adobe Reader.

113

MMA, A Computer Code for Multi-Model Analysis  

Science Conference Proceedings (OSTI)

This report documents the Multi-Model Analysis (MMA) computer code. MMA can be used to evaluate results from alternative models of a single system using the same set of observations for all models. As long as the observations, the observation weighting, and system being represented are the same, the models can differ in nearly any way imaginable. For example, they may include different processes, different simulation software, different temporal definitions (for example, steady-state and transient models could be considered), and so on. The multiple models need to be calibrated by nonlinear regression. Calibration of the individual models needs to be completed before application of MMA. MMA can be used to rank models and calculate posterior model probabilities. These can be used to (1) determine the relative importance of the characteristics embodied in the alternative models, (2) calculate model-averaged parameter estimates and predictions, and (3) quantify the uncertainty of parameter estimates and predictions in a way that integrates the variations represented by the alternative models. There is a lack of consensus on what model analysis methods are best, so MMA provides four default methods. Two are based on Kullback-Leibler information, and use the AIC (Akaike Information Criterion) or AICc (second-order-bias-corrected AIC) model discrimination criteria. The other two default methods are the BIC (Bayesian Information Criterion) and the KIC (Kashyap Information Criterion) model discrimination criteria. Use of the KIC criterion is equivalent to using the maximum-likelihood Bayesian model averaging (MLBMA) method. AIC, AICc, and BIC can be derived from Frequentist or Bayesian arguments. The default methods based on Kullback-Leibler information have a number of theoretical advantages, including that they tend to favor more complicated models as more data become available than do the other methods, which makes sense in many situations.

Eileen P. Poeter and Mary C. Hill

2007-08-20T23:59:59.000Z

114

QuantUM: Quantitative Safety Analysis of UML Models  

E-Print Network (OSTI)

When developing a safety-critical system it is essential to obtain an assessment of different design alternatives. In particular, an early safety assessment of the architectural design of a system is desirable. In spite of the plethora of available formal quantitative analysis methods it is still difficult for software and system architects to integrate these techniques into their every day work. This is mainly due to the lack of methods that can be directly applied to architecture level models, for instance given as UML diagrams. Also, it is necessary that the description methods used do not require a profound knowledge of formal methods. Our approach bridges this gap and improves the integration of quantitative safety analysis methods into the development process. All inputs of the analysis are specified at the level of a UML model. This model is then automatically translated into the analysis model, and the results of the analysis are consequently represented on the level of the UML model. Thus the analysi...

Leitner-Fischer, Florian; 10.4204/EPTCS.57.2

2011-01-01T23:59:59.000Z

115

Modeling and analysis of energy conversion systems  

DOE Green Energy (OSTI)

An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.

Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1990-10-01T23:59:59.000Z

116

Agent-Based Modeling and Simulation for Hydrogen Transition Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Agent Agent Agent - - Based Modeling Based Modeling and Simulation (ABMS) and Simulation (ABMS) for Hydrogen Transition for Hydrogen Transition Analysis Analysis Marianne Mintz Hydrogen Transition Analysis Workshop US Department of Energy January 26, 2006 Objectives and Scope for Phase 1 2 Analyze the hydrogen infrastructure development as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach Develop an ABMS model to simulate the evolution of that system, spanning the entire H2 supply chain from production to consumption Identify key factors that either promote or inhibit the growth of H2 infrastructure Apply ABMS to get new insights into transition, particularly early transition phase - Dynamic interplay between supply and demand

117

FIREMAN: a toolkit for FIREwall Modeling and ANalysis  

E-Print Network (OSTI)

Security concerns are becoming increasingly critical in networked systems. Firewalls provide important defense for network security. However, misconfigurations in firewalls are very common and significantly weaken the desired security. This paper introduces FIREMAN, a static analysis toolkit for firewall modeling and analysis. By treating firewall configurations as specialized programs, FIREMAN applies static analysis techniques to check misconfigurations, such as policy violations, inconsistencies, and inefficiencies, in individual firewalls as well as among distributed firewalls. FIREMAN performs symbolic model checking of the firewall configurations for all possible IP packets and along all possible data paths. It is both sound and complete because of the finite state nature of firewall configurations. FIREMAN is implemented by modeling firewall rules using binary decision diagrams (BDDs), which have been used successfully in hardware verification and model checking. We have experimented with FIREMAN and used it to uncover several real misconfigurations in enterprise networks, some of which have been subsequently confirmed and corrected by the administrators of these networks. 1.

Lihua Yuan; Hao Chen

2006-01-01T23:59:59.000Z

118

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

119

Model documentation of the Short-Term Coal Analysis System  

Science Conference Proceedings (OSTI)

The short-term coal analysis system (SCOAL) is used by the Data Analysis and Forecasting Branch (DAFB) as an analytic aid to support preparation of short-term projections of bituminous coal and lignite production at the state level, and anthracite production, domestic imports of coal, and domestic and export demand for US coal at the national level. A description of SCOAL is presented which includes a general overview of the model and its analytical capabilities. (DMC)

Not Available

1983-04-01T23:59:59.000Z

120

Analysis of price diffusion in financial markets using PUCK model  

E-Print Network (OSTI)

Based on the new type of random walk process called the Potentials of Unbalanced Complex Kinetics (PUCK) model, we theoretically show that the price diffusion in large scales is amplified 2/(2 + b) times, where b is the coefficient of quadratic term of the potential. In short time scales the price diffusion depends on the size M of the super moving average. Both numerical simulations and real data analysis of Yen-Dollar rates are consistent with theoretical analysis.

Mizuno, T; Takayasu, M; Mizuno, Takayuki; Takayasu, Hideki; Takayasu, Misako

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Sensitivity analysis of the fission gas behavior model in BISON.  

Science Conference Proceedings (OSTI)

This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.

Swiler, Laura Painton; Pastore, Giovanni [Idaho National Laboratory, Idaho Fall, ID; Perez, Danielle [Idaho National Laboratory, Idaho Fall, ID; Williamson, Richard [Idaho National Laboratory, Idaho Fall, ID

2013-05-01T23:59:59.000Z

122

Stochastic modelling of landfill leachate and biogas production incorporating waste heterogeneity. Model formulation and uncertainty analysis  

Science Conference Proceedings (OSTI)

A mathematical model simulating the hydrological and biochemical processes occurring in landfilled waste is presented and demonstrated. The model combines biochemical and hydrological models into an integrated representation of the landfill environment. Waste decomposition is modelled using traditional biochemical waste decomposition pathways combined with a simplified methodology for representing the rate of decomposition. Water flow through the waste is represented using a statistical velocity model capable of representing the effects of waste heterogeneity on leachate flow through the waste. Given the limitations in data capture from landfill sites, significant emphasis is placed on improving parameter identification and reducing parameter requirements. A sensitivity analysis is performed, highlighting the model's response to changes in input variables. A model test run is also presented, demonstrating the model capabilities. A parameter perturbation model sensitivity analysis was also performed. This has been able to show that although the model is sensitive to certain key parameters, its overall intuitive response provides a good basis for making reasonable predictions of the future state of the landfill system. Finally, due to the high uncertainty associated with landfill data, a tool for handling input data uncertainty is incorporated in the model's structure. It is concluded that the model can be used as a reasonable tool for modelling landfill processes and that further work should be undertaken to assess the model's performance.

Zacharof, A.I.; Butler, A.P

2004-07-01T23:59:59.000Z

123

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

124

Sensitivity analysis techniques for models of human behavior.  

SciTech Connect

Human and social modeling has emerged as an important research area at Sandia National Laboratories due to its potential to improve national defense-related decision-making in the presence of uncertainty. To learn about which sensitivity analysis techniques are most suitable for models of human behavior, different promising methods were applied to an example model, tested, and compared. The example model simulates cognitive, behavioral, and social processes and interactions, and involves substantial nonlinearity, uncertainty, and variability. Results showed that some sensitivity analysis methods create similar results, and can thus be considered redundant. However, other methods, such as global methods that consider interactions between inputs, can generate insight not gained from traditional methods.

Bier, Asmeret Brooke

2010-09-01T23:59:59.000Z

125

This paper describes the integrated modeling of a permanent magnet (PM) motor used in an electromechanical actuator  

E-Print Network (OSTI)

ABSTRACT This paper describes the integrated modeling of a permanent magnet (PM) motor used and Field Oriented Control of Permanent Magnet (PM) Motor for High Performance EMA 2010-01-1742 Published 11 of a permanent magnet motor and describes both the control and thermal performance of the motor in following

Wu, Shin-Tson

126

Multi-State Load Models for Distribution System Analysis  

Science Conference Proceedings (OSTI)

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.

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

2011-11-01T23:59:59.000Z

127

State space modelling and data analysis exercises in LISA Pathfinder  

E-Print Network (OSTI)

LISA Pathfinder is a mission planned by the European Space Agency to test the key technologies that will allow the detection of gravitational waves in space. The instrument on-board, the LISA Technology package, will undergo an exhaustive campaign of calibrations and noise characterisation campaigns in order to fully describe the noise model. Data analysis plays an important role in the mission and for that reason the data analysis team has been developing a toolbox which contains all the functionalities required during operations. In this contribution we give an overview of recent activities, focusing on the improvements in the modelling of the instrument and in the data analysis campaigns performed both with real and simulated data.

M Nofrarias; F Antonucci; M Armano; H Audley; G Auger; M Benedetti; P Binetruy; J Bogenstahl; D Bortoluzzi; N Brandt; M Caleno; A Cavalleri; G Congedo; M Cruise; K Danzmann; F De Marchi; M Diaz-Aguilo; I Diepholz; G Dixon; R Dolesi; N Dunbar; J Fauste; L Ferraioli; V Ferroni W Fichter; E Fitzsimons; M Freschi; C García Marirrodriga; R Gerndt; L Gesa; F Gibert; D Giardini; C Grimani; A Grynagier; F Guzmán; I Harrison; G Heinzel; M Hewitson; D Hollington; D Hoyland; M Hueller; J Huesler; O Jennrich; P Jetzer; B Johlander; N Karnesis; N Korsakova; C Killow; X Llamas; I Lloro; A Lobo; R Maarschalkerweerd; S Madden; D Mance; I Mateos; P W McNamara; J Mendes; E Mitchell; D Nicolini; D Nicolodi; M Perreur-Lloyd; E Plagnol; P Prat; J Ramos-Castro; J Reiche; J A Romera Perez; D Robertson; H Rozemeijer; G Russano; A Schleicher; D Shaul; CF Sopuerta; T J Sumner; A Taylor; D Texier; C Trenkel; H-B Tu; S Vitale; G Wanner; H Ward; S Waschke; P Wass; D Wealthy; S Wen; W J Weber; T Ziegler; P Zweifel

2013-06-19T23:59:59.000Z

128

Infiltration modeling guidelines for commercial building energy analysis  

SciTech Connect

This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.

Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

2009-09-30T23:59:59.000Z

129

Fuel Cell Power Model for CHP and CHHP Economics and Performance Analysis (Presentation)  

DOE Green Energy (OSTI)

This presentation describes the fuel cell power model for CHP and CHHP economics and performance analysis.

Steward, D.; Penev, M.

2010-03-30T23:59:59.000Z

130

Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater New Rifle Processing Site, Colorado  

Energy.gov (U.S. Department of Energy (DOE))

Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater New Rifle Processing Site, Colorado

131

Analysis of Attic Radiant Barrier Systems Using Mathematical Models  

E-Print Network (OSTI)

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 of modeling capability have been developed. A very simplified model based on ASHRAE procedures in used to study the sensitivity of RBS performance parameters, and a very detailed finite element model is used to study highly complex phenomena, including moisture adsorption and desorption in attics. The speed of the simple model allows a large range of attic parameters to be studies quickly, and the finite element model provides a detailed understanding of combined heat and moisture transport in attics. This paper concentrates on a parametric analysis of attic RBS using the simplified model. The development of the model is described, and results of the parametric analyses are presented and discussed. Preliminary results from the finite element model are also compared with measurements from a test attic to illustrate the effects of moisture adsorption and desorption in common attics.

Fairey, P.; Swami, M.

1988-01-01T23:59:59.000Z

132

Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis  

Science Conference Proceedings (OSTI)

Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.

Humberto E. Garcia

2012-01-01T23:59:59.000Z

133

INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS  

SciTech Connect

Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.

Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.

2011-07-18T23:59:59.000Z

134

Integration of facility modeling capabilities for nuclear nonproliferation analysis  

SciTech Connect

Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.

Garcia, Humberto [Idaho National Laboratory (INL); Burr, Tom [Los Alamos National Laboratory (LANL); Coles, Garill A [ORNL; Edmunds, Thomas A. [Lawrence Livermore National Laboratory (LLNL); Garrett, Alfred [Savannah River National Laboratory (SRNL); Gorensek, Maximilian [Savannah River National Laboratory (SRNL); Hamm, Luther [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Tzanos, Constantine P [ORNL; Ward, Richard C [ORNL

2012-01-01T23:59:59.000Z

135

Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP): An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025  

Science Conference Proceedings (OSTI)

Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.

Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

2009-09-01T23:59:59.000Z

136

Peer Review of NRC Standardized Plant Analysis Risk Models  

SciTech Connect

The Nuclear Regulatory Commission (NRC) Standardized Plant Analysis Risk (SPAR) Models underwent a Peer Review using ASME PRA standard (Addendum C) as endorsed by NRC in Regulatory Guide (RG) 1.200. The review was performed by a mix of industry probabilistic risk analysis (PRA) experts and NRC PRA experts. Representative SPAR models, one PWR and one BWR, were reviewed against Capability Category I of the ASME PRA standard. Capability Category I was selected as the basis for review due to the specific uses/applications of the SPAR models. The BWR SPAR model was reviewed against 331 ASME PRA Standard Supporting Requirements; however, based on the Capability Category I level of review and the absence of internal flooding and containment performance (LERF) logic only 216 requirements were determined to be applicable. Based on the review, the BWR SPAR model met 139 of the 216 supporting requirements. The review also generated 200 findings or suggestions. Of these 200 findings and suggestions 142 were findings and 58 were suggestions. The PWR SPAR model was also evaluated against the same 331 ASME PRA Standard Supporting Requirements. Of these requirements only 215 were deemed appropriate for the review (for the same reason as noted for the BWR). The PWR review determined that 125 of the 215 supporting requirements met Capability Category I or greater. The review identified 101 findings or suggestions (76 findings and 25 suggestions). These findings or suggestions were developed to identify areas where SPAR models could be enhanced. A process to prioritize and incorporate the findings/suggestions supporting requirements into the SPAR models is being developed. The prioritization process focuses on those findings that will enhance the accuracy, completeness and usability of the SPAR models.

Anthony Koonce; James Knudsen; Robert Buell

2011-03-01T23:59:59.000Z

137

Anaerobic digestion analysis model: User`s manual  

DOE Green Energy (OSTI)

The Anaerobic Digestion Analysis Model (ADAM) has been developed to assist investigators in performing preliminary economic analyses of anaerobic digestion processes. The model, which runs under Microsoft Excel{trademark}, is capable of estimating the economic performance of several different waste digestion process configurations that are defined by the user through a series of option selections. The model can be used to predict required feedstock tipping fees, product selling prices, utility rates, and raw material unit costs. The model is intended to be used as a tool to perform preliminary economic estimates that could be used to carry out simple screening analyses. The model`s current parameters are based on engineering judgments and are not reflective of any existing process; therefore, they should be carefully evaluated and modified if necessary to reflect the process under consideration. The accuracy and level of uncertainty of the estimated capital investment and operating costs are dependent on the accuracy and level of uncertainty of the model`s input parameters. The underlying methodology is capable of producing results accurate to within {+-} 30% of actual costs.

Ruth, M.; Landucci, R.

1994-08-01T23:59:59.000Z

138

Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed a transient air conditioning (A/C) system model using SINDA/FLUINT analysis software. It captures all the relevant physics of transient A/C system performance, including two-phase flow effects in the evaporator and condenser, system mass effects, air side heat transfer on the condenser/evaporator, vehicle speed effects, temperature-dependent properties, and integration with a simplified cabin thermal model. It has demonstrated robust and powerful system design optimization capabilities. Single-variable and multiple variable design optimizations have been performed and are presented. Various system performance parameters can be optimized, including system COP, cabin cool-down time, and system heat load capacity. This work presents this new transient A/C system analysis and optimization tool and shows some high-level system design conclusions reached to date. The work focuses on R-134a A/C systems, but future efforts will modify the model to investigate the transient performance of alternative refrigerant systems such as carbon dioxide systems. NREL is integrating its transient air conditioning model into NRELs ADVISOR vehicle system analysis software, with the objective of simultaneously optimizing A/C system designs within the overall vehicle design optimization.

Hendricks, T. J.

2001-06-01T23:59:59.000Z

139

Water Rights Analysis Package (WRAP) Modeling System Reference Manual  

E-Print Network (OSTI)

The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a river basin, or multiple-basin region, under a priority-based water allocation system. The model facilitates assessment of hydrologic and institutional water availability/reliability for existing and proposed requirements for water use and management. Basin-wide impacts of water resources development projects and management strategies may be evaluated. The software package is generalized for application to any river/reservoir/use system, with input files being developed for the particular river basin of concern. The model is documented by reference and users manuals that may be downloaded from this site along with the software. WRAP is incorporated in the Texas Commission on Environmental Quality (TCEQ) Water Availability Modeling (WAM) System.

Wurbs, R.

2012-10-01T23:59:59.000Z

140

Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister  

SciTech Connect

This report fulfills the M3 milestone (M3FT-13PN0810027) to report on a radiolysis computer model analysis that estimates the generation of radiolytic products for a storage canister. The analysis considers radiolysis outside storage canister walls and within the canister fill gas over a possible 300-year lifetime. Previous work relied on estimates based directly on a water radiolysis G-value. This work also includes that effect with the addition of coupled kinetics for 111 reactions for 40 gas species to account for radiolytic-induced chemistry, which includes water recombination and reactions with air.

Wittman, Richard S.

2013-09-20T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Solid waste integrated cost analysis model: 1991 project year report  

SciTech Connect

The purpose of the City of Houston's 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA's Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.

Not Available

1991-01-01T23:59:59.000Z

142

Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis  

E-Print Network (OSTI)

To model ferromagnetic material in finite element analysis a correct description of the constitutive relationship (BH-law) must be found from measured data. This article proposes to use the energy density function as a centrepiece. Using this function, which turns out to be a convex function of the flux density, guarantees energy conservative modelling. The magnetic field strength can be seen as a derivative with respect to the flux density. Especially for anisotropic materials (from lamination and/or grain orientation) this method has advantages. Strictly speaking this method is only valid for anhysteretic and thermodynamically stable material.

Jens Krause

2012-12-20T23:59:59.000Z

143

Foam computer model helps in analysis of underbalanced drilling  

Science Conference Proceedings (OSTI)

A new mechanistic model attempts to overcome many of the problems associated with existing foam flow analyses. The model calculates varying Fanning friction factors, rather than assumed constant factors, along the flow path. Foam generated by mixing gas and liquid for underbalanced drilling has unique rheological characteristics, making it very difficult to accurately predict the pressure profile. A user-friendly personal-computer program was developed to solve the mechanical energy balance equation for compressible foam flow. The program takes into account influxes of gas, liquid, and oil from formations. The pressure profile, foam quality, density, and cuttings transport are predicted by the model. A sensitivity analysis window allows the user to quickly optimize the hydraulics program by selecting the best combination of injection pressure, back pressure, and gas/liquid injection rates. This new model handles inclined and horizontal well bores and provides handy engineering and design tools for underbalanced drilling, well bore cleanout, and other foam operations. The paper describes rheological models, foam flow equations, equations of state, mechanical energy equations, pressure drop across nozzles, influx modeling, program operation, comparison to other models, to lab data, and to field data, and results.

Liu, G.; Medley, G.H. Jr. [Maurer Engineering Inc., Houston, TX (United States)

1996-07-01T23:59:59.000Z

144

Modeling and analysis of unsymmetrical transformer banks serving unbalanced loads  

SciTech Connect

It is a common practice to serve combination three-phase and single-phase loads from an unsymmetrical three-phase transformer bank and a four-wire secondary. Depending upon the loads and company standards, nine different transformer connections can be considered along with either an open four wire or a quadraplex secondary. The selection of the proper connection and transformer ratings can be achieved by the correct modeling and analysis of a system consisting of an equivalent source, transformer bank, secondary, and loads. This paper develops the models for the nine transformer connections, the secondary, and the loads. A computer program has been written that allows the analysis of the system for loading and short-circuit studies. The paper includes several examples of different normal and abnormal operating conditions on some of the transformer connections.

Kersting, W.H. [New Mexico State Univ., Las Cruces, NM (United States). Coll. of Engineering; Phillips, W.H. [WH Power Consultants, Las Cruces, NM (United States)

1996-05-01T23:59:59.000Z

145

Application of Bayesian Hierarchical Models in Genetic Data Analysis  

E-Print Network (OSTI)

Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is crucial in discovering genetic markers and treatment targets in medical research. This dissertation focuses on several important issues in genetic data analysis, graphical network modeling, feature selection, and covariance estimation. First, we develop a gene network modeling method for discrete gene expression data, produced by technologies such as serial analysis of gene expression and RNA sequencing experiment, which generate counts of mRNA transcripts in cell samples. We propose a generalized linear model to fit the discrete gene expression data and assume that the log ratios of the mean expression levels follow a Gaussian distribution. We derive the gene network structures by selecting covariance matrices of the Gaussian distribution with a hyper-inverse Wishart prior. We incorporate prior network models based on Gene Ontology information, which avails existing biological information on the genes of interest. Next, we consider a variable selection problem, where the variables have natural grouping structures, with application to analysis of chromosomal copy number data. The chromosomal copy number data are produced by molecular inversion probes experiments which measure probe-specific copy number changes. We propose a novel Bayesian variable selection method, the hierarchical structured variable se- lection (HSVS) method, which accounts for the natural gene and probe-within-gene architecture to identify important genes and probes associated with clinically relevant outcomes. We propose the HSVS model for grouped variable selection, where simultaneous selection of both groups and within-group variables is of interest. The HSVS model utilizes a discrete mixture prior distribution for group selection and group-specific Bayesian lasso hierarchies for variable selection within groups. We further provide methods for accounting for serial correlations within groups that incorporate Bayesian fused lasso methods for within-group selection. Finally, we propose a Bayesian method of estimating high-dimensional covariance matrices that can be decomposed into a low rank and sparse component. This covariance structure has a wide range of applications including factor analytical model and random effects model. We model the covariance matrices with the decomposition structure by representing the covariance model in the form of a factor analytic model where the number of latent factors is unknown. We introduce binary indicators for estimating the rank of the low rank component combined with a Bayesian graphical lasso method for estimating the sparse component. We further extend our method to a graphical factor analytic model where the graphical model of the residuals is of interest. We achieve sparse estimation of the inverse covariance of the residuals in the graphical factor model by employing a hyper-inverse Wishart prior method for a decomposable graph and a Bayesian graphical lasso method for an unrestricted graph.

Zhang, Lin

2012-12-01T23:59:59.000Z

146

Back analysis of microplane model parameters using soft computing methods  

E-Print Network (OSTI)

A new procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Novelties are usage of the Latin Hypercube Sampling method for the generation of training sets, a systematic employment of stochastic sensitivity analysis and a genetic algorithm-based training of a neural network by an evolutionary algorithm. Advantages and disadvantages of this approach together with possible extensions are thoroughly discussed and analyzed.

Kucerova, A; Zeman, J

2009-01-01T23:59:59.000Z

147

The Model Electric Restaurant: Volume 3: Analysis and Design  

Science Conference Proceedings (OSTI)

The Model Electric Restaurant Project was initiated in 1987 to study energy use in restaurants and other types of foodservice facilities. This report describes the second phase of the project, which ultimately involved testing a number of energy-efficient electric concepts in several restaurants in Los Angeles, California, as well as Phoenix and Mesa, Arizona. Field auditing, computer analysis, design, and testing activities revealed the best combination of electric equipment for minimizing site and sour...

1996-03-27T23:59:59.000Z

148

Security Analysis and Improvement Model for Web-based Applications  

E-Print Network (OSTI)

Today the web has become a major conduit for information. As the World Wide Web?s popularity continues to increase, information security on the web has become an increasing concern. Web information security is related to availability, confidentiality, and data integrity. According to the reports from http://www.securityfocus.com in May 2006, operating systems account for 9% vulnerability, web-based software systems account for 61% vulnerability, and other applications account for 30% vulnerability. In this dissertation, I present a security analysis model using the Markov Process Model. Risk analysis is conducted using fuzzy logic method and information entropy theory. In a web-based application system, security risk is most related to the current states in software systems and hardware systems, and independent of web application system states in the past. Therefore, the web-based applications can be approximately modeled by the Markov Process Model. The web-based applications can be conceptually expressed in the discrete states of (web_client_good; web_server_good, web_server_vulnerable, web_server_attacked, web_server_security_failed; database_server_good, database_server_vulnerable, database_server_attacked, database_server_security_failed) as state space in the Markov Chain. The vulnerable behavior and system response in the web-based applications are analyzed in this dissertation. The analyses focus on functional availability-related aspects: the probability of reaching a particular security failed state and the mean time to the security failure of a system. Vulnerability risk index is classified in three levels as an indicator of the level of security (low level, high level, and failed level). An illustrative application example is provided. As the second objective of this dissertation, I propose a security improvement model for the web-based applications using the GeoIP services in the formal methods. In the security improvement model, web access is authenticated in role-based access control using user logins, remote IP addresses, and physical locations as subject credentials to combine with the requested objects and privilege modes. Access control algorithms are developed for subjects, objects, and access privileges. A secure implementation architecture is presented. In summary, the dissertation has developed security analysis and improvement model for the web-based application. Future work will address Markov Process Model validation when security data collection becomes easy. Security improvement model will be evaluated in performance aspect.

Wang, Yong

2008-12-01T23:59:59.000Z

149

Materials Reliability Program: Adequacy of Current Equivalent Margins Analysis (EMA) Guidance, Data, and Methodologies for 60+ Years of Operation (MRP-366)  

Science Conference Proceedings (OSTI)

Title 10, Code of Federal Regulations, Part 50 (10 CFR 50), Appendix G, establishes general fracture toughness requirements for the reactor coolant pressure boundary and two additional requirements that are specific to the reactor vessel: minimum Charpy upper-shelf energy (USE) requirements for reactor vessel beltline materials and pressure-temperature limits and minimum temperature requirements for the reactor vessel. This report addresses the USE requirements and the remedial analyses that are ...

2013-10-28T23:59:59.000Z

150

Bayesian analysis of inflation: Parameter estimation for single field models  

Science Conference Proceedings (OSTI)

Future astrophysical data sets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single-field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single-field models ({phi}{sup n} with n=2/3, 1, 2, and 4, natural inflation, and 'hilltop' inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the ''primordial dark ages'' between TeV and grand unified theory scale energies.

Mortonson, Michael J. [Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210 (United States); Peiris, Hiranya V. [Institute of Astronomy and Kavli Institute for Cosmology, University of Cambridge, Cambridge CB3 0HA (United Kingdom); Department of Physics and Astronomy, University College London, London WC1E 6BT (United Kingdom); Easther, Richard [Department of Physics, Yale University, New Haven, Connecticut 06520 (United States)

2011-02-15T23:59:59.000Z

151

Crashworthiness analysis using advanced material models in DYNA3D  

DOE Green Energy (OSTI)

As part of an electric vehicle consortium, LLNL and Kaiser Aluminum are conducting experimental and numerical studies on crashworthy aluminum spaceframe designs. They have jointly explored the effect of heat treat on crush behavior and duplicated the experimental behavior with finite-element simulations. The major technical contributions to the state of the art in numerical simulation arise from the development and use of advanced material model descriptions for LLNL`s DYNA3D code. Constitutive model enhancements in both flow and failure have been employed for conventional materials such as low-carbon steels, and also for lighter weight materials such as aluminum and fiber composites being considered for future vehicles. The constitutive model enhancements are developed as extensions from LLNL`s work in anisotropic flow and multiaxial failure modeling. Analysis quality as a function of level of simplification of material behavior and mesh is explored, as well as the penalty in computation cost that must be paid for using more complex models and meshes. The lightweight material modeling technology is being used at the vehicle component level to explore the safety implications of small neighborhood electric vehicles manufactured almost exclusively from these materials.

Logan, R.W.; Burger, M.J.; McMichael, L.D. [Lawrence Livermore National Lab., CA (United States); Parkinson, R.D. [Kaiser Aluminum & Chemical Corp., Pleasanton, CA (United States). Center for Technology

1993-10-22T23:59:59.000Z

152

Bayesian Analysis of Inflation: Parameter Estimation for Single Field Models  

E-Print Network (OSTI)

Future astrophysical datasets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single field models (phi^n with n=2/3, 1, 2, and 4, natural inflation, and "hilltop" inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the "primordial dark ages" between TeV and GUT scale energies.

Michael J. Mortonson; Hiranya V. Peiris; Richard Easther

2010-07-23T23:59:59.000Z

153

Mathematical modelling, analysis and computation of some complex and nonlinear flow problems.  

E-Print Network (OSTI)

???This thesis consists of two parts: (I) modelling, analysis and computation of sweat transport in textile media; (II) unconditional convergence and optimal error analysis of… (more)

Li, Buyang (???)

2012-01-01T23:59:59.000Z

154

Representative element modeling of fracture systems based on stochastic analysis  

DOE Green Energy (OSTI)

An important task associated with reservoir simulation is the development of a technique to model a large number of fractures with a single description. Representative elements must be developed before reservoir scale simulations can adequately address the effects of intersecting fracture systems on fluid migration. An effective element model will sharply reduce the cost and complexity of large scale simulations to bring these to manageable levels. Stochastic analysis is a powerful tool which can determine the hydraulic and transport characteristics of intersecting sets of statistically defined fractures. Hydraulic and transport characteristics are required to develop representative elements. Given an assumption of fully developed laminar flow, the net fracture conductivities and hence flow velocities can be determined from descriptive statistics of fracture spacing, orientation, aperture, and extent. The distribution of physical characteristics about their mean leads to a distribution of the associated conductivities. The variance of hydraulic conductivity induces dispersion into the transport process. The simplest of fracture systems, a single set of parallel fractures, is treated to demonstrate the usefulness of stochastic analysis. Explicit equations for conductivity of an element are developed and the dispersion characteristics are shown. The analysis reveals the dependence of the representative element properties on the various parameters used to describe the fracture system. 10 refs., 3 figs.

Clemo, T.M.

1986-01-01T23:59:59.000Z

155

Design Considerations, Modeling and Analysis for the Multispectral Thermal Imager  

SciTech Connect

The design of remote sensing systems is driven by the need to provide cost-effective, substantive answers to questions posed by our customers. This is especially important for space-based systems, which tend to be expensive, and which generally cannot be changed after they are launched. We report here on the approach we employed in developing the desired attributes of a satellite mission, namely the Multispectral Thermal Imager. After an initial scoping study, we applied a procedure which we call: "End-to-end modeling and analysis (EEM)." We began with target attributes, translated to observable signatures and then propagated the signatures through the atmosphere to the sensor location. We modeled the sensor attributes to yield a simulated data stream, which was then analyzed to retrieve information about the original target. The retrieved signature was then compared to the original to obtain a figure of merit: hence the term "end-to-end modeling and analysis." We base the EEM in physics to ensure high fidelity and to permit scaling. As the actual design of the payload evolves, and as real hardware is tested, we can update the EEM to facilitate trade studies, and to judge, for example, whether components that deviate from specifications are acceptable.

Borel, C.C.; Clodius, W.B.; Cooke, B.J.; Smith, B.W.; Weber, P.G.

1999-02-01T23:59:59.000Z

156

Decline curve analysis in unconventional resource plays using logistic growth models.  

E-Print Network (OSTI)

??Current models used to forecast production in unconventional oil and gas formations are often not producing valid results. When traditional decline curve analysis models are… (more)

Clark, Aaron James

2011-01-01T23:59:59.000Z

157

Genome sequencing and analysis of the model grass Brachypodium distachyon  

NLE Websites -- All DOE Office Websites (Extended Search)

Genome Genome sequencing and analysis of the model grass Brachypodium distachyon The International Brachypodium Initiative* Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its

158

Modeling and Analysis of Time-Varying Graphs  

E-Print Network (OSTI)

We live in a world increasingly dominated by networks -- communications, social, information, biological etc. A central attribute of many of these networks is that they are dynamic, that is, they exhibit structural changes over time. While the practice of dynamic networks has proliferated, we lag behind in the fundamental, mathematical understanding of network dynamism. Existing research on time-varying graphs ranges from preliminary algorithmic studies (e.g., Ferreira's work on evolving graphs) to analysis of specific properties such as flooding time in dynamic random graphs. A popular model for studying dynamic graphs is a sequence of graphs arranged by increasing snapshots of time. In this paper, we study the fundamental property of reachability in a time-varying graph over time and characterize the latency with respect to two metrics, namely store-or-advance latency and cut-through latency. Instead of expected value analysis, we concentrate on characterizing the exact probability distribution of routing l...

Basu, Prithwish; Ramanathan, Ram; Johnson, Matthew P

2010-01-01T23:59:59.000Z

159

Model Development and Analysis of the Fate and Transport of Water...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository Model Development and Analysis of the Fate and Transport of Water in a Salt Based...

160

Modeling and Analysis using SAINT: A combined discrete/continuous network simulation language  

Science Conference Proceedings (OSTI)

SAINT, Systems Analysis of Integrated Networks of Tasks, is a network modeling and simulation technique developed to assist in the design and analysis of complex man-machine systems.* SAINT provides the concepts necessary to model systems that consist ...

David B. Wortman; Steven D. Duket; Deborah J. Seifert

1977-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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161

MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION  

E-Print Network (OSTI)

MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET-A COMBUSTION of Technology August 2008 #12;MODELING AND ANALYSIS OF CHEMILUMINESCENCE SENSING FOR SYNGAS, METHANE AND JET

Seitzman, Jerry M.

162

Perfromance analysis of the Parallel Community Atmosphere Model (CAM) application  

E-Print Network (OSTI)

Efficient execution of parallel applications requires insight into how the parallel system features impact the performance of the application. Significant experimental analysis and the development of performance models enhance the understanding of such an impact. Deep understanding of an application’s major kernels and their design leads to a better understanding of the application’s performance, and hence, leads to development of better performance models. The Community Atmosphere Model (CAM) is the latest in a series of global atmospheric models developed at the National Center for Atmospheric Research (NCAR) as a community tool for NCAR and the university research community. This work focuses on analyzing CAM and understanding the impact of different architectures on this application. In the analysis of CAM, kernel coupling, which quantifies the interaction between adjacent and chains of kernels in an application, is used. All experiments are conducted on four parallel platforms: NERSC (National Energy Research Scientific Computing Center) Seaborg, SDSC (San Diego Supercomputer Center) DataStar P655, DataStar P690 and PSC (Pittsburgh Supercomputing Center) Lemieux. Experimental results indicate that kernel coupling gave an insight into many of the application characteristics. One important characteristic of CAM is that its performance is heavily dependent on a parallel platform memory hierarchy; different cache sizes and different cache policies had the major effect on CAM’s performance. Also, coupling values showed that although CAM’s kernels share many data structures, most of the coupling values are still destructive (i.e., interfering with each other so as to adversely affect performance). The kernel coupling results helps developers in pointing out the bottlenecks in memory usage in CAM. The results obtained from processor partitioning are significant in helping CAM users in choosing the right platform to run CAM.

Shawky Sharkawi, Sameh Sherif

2006-08-01T23:59:59.000Z

163

An efficient integrated approach for global sensitivity analysis of hydrological model parameters  

Science Conference Proceedings (OSTI)

Efficient sensitivity analysis, particularly for the global sensitivity analysis (GSA) to identify the most important or sensitive parameters, is crucial for understanding complex hydrological models, e.g., distributed hydrological models. In this paper, ... Keywords: DTVGM, Global sensitivity analysis, RSMSobol' method, Response surface model, Statistical emulator

Che-Sheng Zhan; Xiao-Meng Song; Jun Xia; Charles Tong

2013-03-01T23:59:59.000Z

164

Model and Seismic Analysis of Large-scale Wind Turbine Tower Structure  

Science Conference Proceedings (OSTI)

The working condition of wind turbine tower structure with a massive engine room and revolving wind wheels is very complex. The paper simplify the wind turbine tower model with finite element analysis software --ANSYS, completed modal analysis firstly, ... Keywords: wind turbine tower, model analysis, resonance, time-history analysis, dynamic

Xiang Liu; Jiangtao Kong

2012-05-01T23:59:59.000Z

165

CFD MODELING ANALYSIS OF MECHANICAL DRAFT COOLING TOWER  

Science Conference Proceedings (OSTI)

Industrial processes use mechanical draft cooling towers (MDCT's) to dissipate waste heat by transferring heat from water to air via evaporative cooling, which causes air humidification. The Savannah River Site (SRS) has a MDCT consisting of four independent compartments called cells. Each cell has its own fan to help maximize heat transfer between ambient air and circulated water. The primary objective of the work is to conduct a parametric study for cooling tower performance under different fan speeds and ambient air conditions. The Savannah River National Laboratory (SRNL) developed a computational fluid dynamics (CFD) model to achieve the objective. The model uses three-dimensional steady-state momentum, continuity equations, air-vapor species balance equation, and two-equation turbulence as the basic governing equations. It was assumed that vapor phase is always transported by the continuous air phase with no slip velocity. In this case, water droplet component was considered as discrete phase for the interfacial heat and mass transfer via Lagrangian approach. Thus, the air-vapor mixture model with discrete water droplet phase is used for the analysis. A series of the modeling calculations was performed to investigate the impact of ambient and operating conditions on the thermal performance of the cooling tower when fans were operating and when they were turned off. The model was benchmarked against the literature data and the SRS test results for key parameters such as air temperature and humidity at the tower exit and water temperature for given ambient conditions. Detailed results will be presented here.

Lee, S; Alfred Garrett, A; James02 Bollinger, J; Larry Koffman, L

2008-03-03T23:59:59.000Z

166

Sodium fast reactor gaps analysis of computer codes and models for accident analysis and reactor safety.  

SciTech Connect

This report summarizes the results of an expert-opinion elicitation activity designed to qualitatively assess the status and capabilities of currently available computer codes and models for accident analysis and reactor safety calculations of advanced sodium fast reactors, and identify important gaps. The twelve-member panel consisted of representatives from five U.S. National Laboratories (SNL, ANL, INL, ORNL, and BNL), the University of Wisconsin, the KAERI, the JAEA, and the CEA. The major portion of this elicitation activity occurred during a two-day meeting held on Aug. 10-11, 2010 at Argonne National Laboratory. There were two primary objectives of this work: (1) Identify computer codes currently available for SFR accident analysis and reactor safety calculations; and (2) Assess the status and capability of current US computer codes to adequately model the required accident scenarios and associated phenomena, and identify important gaps. During the review, panel members identified over 60 computer codes that are currently available in the international community to perform different aspects of SFR safety analysis for various event scenarios and accident categories. A brief description of each of these codes together with references (when available) is provided. An adaptation of the Predictive Capability Maturity Model (PCMM) for computational modeling and simulation is described for use in this work. The panel's assessment of the available US codes is presented in the form of nine tables, organized into groups of three for each of three risk categories considered: anticipated operational occurrences (AOOs), design basis accidents (DBA), and beyond design basis accidents (BDBA). A set of summary conclusions are drawn from the results obtained. At the highest level, the panel judged that current US code capabilities are adequate for licensing given reasonable margins, but expressed concern that US code development activities had stagnated and that the experienced user-base and the experimental validation base was decaying away quickly.

Carbajo, Juan (Oak Ridge National Laboratory, Oak Ridge, TN); Jeong, Hae-Yong (Korea Atomic Energy Research Institute, Daejeon, Korea); Wigeland, Roald (Idaho National Laboratory, Idaho Falls, ID); Corradini, Michael (University of Wisconsin, Madison, WI); Schmidt, Rodney Cannon; Thomas, Justin (Argonne National Laboratory, Argonne, IL); Wei, Tom (Argonne National Laboratory, Argonne, IL); Sofu, Tanju (Argonne National Laboratory, Argonne, IL); Ludewig, Hans (Brookhaven National Laboratory, Upton, NY); Tobita, Yoshiharu (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Ohshima, Hiroyuki (Japan Atomic Energy Agency, Ibaraki-ken, Japan); Serre, Frederic (Centre d'%C3%94etudes nucl%C3%94eaires de Cadarache %3CU%2B2013%3E CEA, France)

2011-06-01T23:59:59.000Z

167

A Unified Technique for Dynamic Modeling and Stability Analysis of Microgrid Systems.  

E-Print Network (OSTI)

??This work presents a unified method for dynamic modeling and stability analysis of microgrid power systems. Using the automated state-model generation algorithm, a state-space model… (more)

Johnson, Brian B.

2010-01-01T23:59:59.000Z

168

The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4  

E-Print Network (OSTI)

The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...

Paltsev, Sergey.

169

A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model  

E-Print Network (OSTI)

This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...

Babiker, Mustafa M.H.

170

Analysis of WACSIS data using a directional hybrid wave model  

E-Print Network (OSTI)

This study focuses on the analysis of measured directional seas using a nonlinear model, named Directional Hybrid Wave Model (DHWM). The model has the capability of decomposing the directional wave field into its free wave components with different frequency, amplitude, direction and initial phase based on three or more time series of measured wave properties. With the information of free waves, the DHWM can predict wave properties accurately up to the second order in wave steepness. In this study, the DHWM is applied to the analyses of the data of Wave Crest Sensor Inter-comparison Study (WACSIS). The consistency between the measurements collected by different sensors in the WACSIS project was examined to ensure the data quality. The wave characteristics at the locations of selected sensors were predicted in time domain and were compared with those recorded at the same location. The degree of agreement between the predictions and the related measurements is an indicator of the consistency among different sensors. To analyze the directional seas in the presence of strong current, the original DHWM was extended to consider the Doppler effects of steady and uniform currents on the directional wave field. The advantage of extended DHWM originates from the use of the intrinsic frequency instead of the apparent frequency to determine the corresponding wavenumber and transfer functions relating wave pressure and velocities to elevation. Furthermore, a new approach is proposed to render the accurate and consistent estimates of the energy spreading parameter and mean wave direction of directional seas based on a cosine-2s model. In this approach, a Maximum Likelihood Method (MLM) is employed. Because it is more tolerant of errors in the estimated cross spectrum than a Directional Fourier Transfer (DFT) used in the conventional approach, the proposed approach is able to estimate the directional spreading parameters more accurately and consistently, which is confirmed by applying the proposed and conventional approach, respectively, to the time series generated by numerical simulation and recorded during the WACSIS project.

Zhang, Shaosong

2005-12-01T23:59:59.000Z

171

Converting Boundary Representation Solid Models to Half-Space Representation Models for Monte Carlo Analysis  

SciTech Connect

Solid modeling computer software systems provide for the design of three-dimensional solid models used in the design and analysis of physical components. The current state-of-the-art in solid modeling representation uses a boundary representation format in which geometry and topology are used to form three-dimensional boundaries of the solid. The geometry representation used in these systems is cubic B-spline curves and surfaces--a network of cubic B-spline functions in three-dimensional Cartesian coordinate space. Many Monte Carlo codes, however, use a geometry representation in which geometry units are specified by intersections and unions of half-spaces. This paper describes an algorithm for converting from a boundary representation to a half-space representation.

Davis JE, Eddy MJ, Sutton TM, Altomari TJ

2007-03-01T23:59:59.000Z

172

Iterated Function System Models in Data Analysis: Detection and Separation  

E-Print Network (OSTI)

We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a discrete dynamical system in which each time step corresponds to the application of one of a finite collection of maps. The maps, which represent distinct dynamical regimes, may act in some pre-determined sequence or may be applied in random order. An algorithm is developed to detect the sequence of regime switches under the assumption of continuity. This method is tested on a simple IFS and applied to an experimental computer performance data set. This methodology has a wide range of potential uses: from change-point detection in time-series data to the field of digital communications.

Zachary Alexander; Elizabeth Bradley; Joshua Garland; James D. Meiss

2011-08-15T23:59:59.000Z

173

Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results  

NLE Websites -- All DOE Office Websites (Extended Search)

to Hydrogen to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results May 8, 2007 Amgad Elgowainy Argonne National Laboratory Comparison of Delivery Pathways- V1.0 vs. V2.0 2 1 3 i delivery by a Loading, the plant Version 1.0 character zed components for 3 pathways with single mode. conditioning and storage are at or adjacent to Liquid Hydrogen (LH) Truck H2 Production 100 or 1500 kg/d Compressed H2 (CH) Truck H2 Production 3 or 7 kpsi 100 or 1500 kg/d H2 Production Gaseous H2 Pipeline 100 or 1500 kg/d HDSAM V1.0 Estimates Delivery Cost for 3 Pathways 4 H2 H2 1 2 3 H2 Distribution and Ci I. Liquid H2 Distribution: HDSAM V2.0 Simulates Nine Pathways Production Production LH Terminal LH Terminal Production LH Terminal Transmission Transmission Distribution

174

MDM Project: Analysis of the Micromechanics Damage Model Suite  

E-Print Network (OSTI)

This report extends a previous study of core algorithms and portability considerations associated with the Micromechanics Damage Model computer software developed by the AFRL Materials Directorate at Wright-Patterson Air Force Base. 1 The MDM analysis suite is comprised of four fracture mechanics codes used to establish design criteria for newly developed composite materials, particularly for brittle, heat-resistant composites associated with the fabrication of turbine blades. The MDM codes are based on a semi-analytical approach in which single coated fibers and the surrounding composite material are represented as a nested set of concentric shells (Fig. 1). Stresses and displacements at prescribed points along the length of the cylinder are determined by evaluation of a polynomial function. Numerically challenging conditions arise during the construction of this function. The calculation of matrix exponentials in terms of the full spectrum of eigenvalues associated with the pri...

D. C. O' neal; R. Luczak; N. J. Pagano; H. W. Brown Iii; G. P. Tandon

2000-01-01T23:59:59.000Z

175

Neutron scattering analysis with microscopic optical model potentials  

Science Conference Proceedings (OSTI)

A review of microscopic optical model potentials used in the analysis of neutron scattering and analyzing power data below 100 MeV (5 {le}E{sub n}{le}100 MeV) is presented. The quality of the fits to the data over a wide massd ({sup 6}Li-{sup 239}Pu) and energy range is discussed. It is shown that reasonably good agreement with the data is obtained with only three parameters, {lambda}{sub V}, {lambda}{sub W}, and {lambda}{sub SO}, which show a smooth mass and energy dependence. These parameters are normalizing constants to the real (V), and imaginary (W) central potentials and the real spin-orbit (V{sub SO}) potential. 14 refs., 7 figs.

Hansen, L.F.

1991-09-03T23:59:59.000Z

176

Genome sequencing and analysis of the model grass Brachypodium distachyon  

Science Conference Proceedings (OSTI)

Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops.

Yang, Xiaohan [ORNL; Kalluri, Udaya C [ORNL; Tuskan, Gerald A [ORNL

2010-01-01T23:59:59.000Z

177

2H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report  

NLE Websites -- All DOE Office Websites (Extended Search)

H2A Hydrogen Delivery Infrastructure Analysis Models and H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results DE-FG36-05GO15032 Interim Report Nexant, Inc., Air Liquide, Argonne National Laboratory, Chevron Technology Venture, Gas Technology Institute, National Renewable Energy Laboratory, Pacific Northwest National Laboratory, and TIAX LLC May 2008 Contents Section Page Executive Summary ................................................................................................................... 1-9 Delivery Options ...................................................................................................................... 1-9 Evaluation of Options 2 and 3 ................................................................................................. 1-9

178

Integrated dynamic landscape analysis and modeling system (IDLAMS) : installation manual.  

SciTech Connect

The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.

Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.

1999-02-24T23:59:59.000Z

179

Integrated dynamic landscape analysis and modeling system (IDLAMS) : programmer's manual.  

SciTech Connect

The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.

Klaus, C. M.; Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.

1999-02-24T23:59:59.000Z

180

Advances in the identification of electrochemical transfer function models using Prony analysis  

Science Conference Proceedings (OSTI)

This paper further advances the usefulness and understanding of Prony analysis as a tool for identification of power system electromechanical oscillation models. These linear models are developed by analyzing power system ring-down data. The presented results allow more generality in the assumed model formulation. In addition, a comparison is made between Prony analysis and autoregressive moving-average (KARMA) modeling, which has also been proposed for analysis of system oscillations. Under the conditions investigated, the Prony algorithm performed more accurate identification.

Trudnowski, D.J. (Pacific Northwest Lab., Richland, WA (United States)); Donnelly, M.K. (Control Tech., Inc., Bozeman, MT (United States)); Hauer, J.F. (USDOE Bonneville Power Administration, Portland, OR (United States))

1993-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.  

Science Conference Proceedings (OSTI)

The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.

Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim (University of Texas at Austin, Austin, TX); Gilbert, Bob (University of Texas at Austin, Austin, TX); Lake, Larry W. (University of Texas at Austin, Austin, TX); Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett (University of Texas at Austin, Austin, TX); Thomas, Sunil G. (University of Texas at Austin, Austin, TX); Rightley, Michael J.; Rodriguez, Adolfo (University of Texas at Austin, Austin, TX); Klie, Hector (University of Texas at Austin, Austin, TX); Banchs, Rafael (University of Texas at Austin, Austin, TX); Nunez, Emilio J. (University of Texas at Austin, Austin, TX); Jablonowski, Chris (University of Texas at Austin, Austin, TX)

2006-11-01T23:59:59.000Z

182

Bio-PEPA: A framework for the modelling and analysis of biological systems  

Science Conference Proceedings (OSTI)

In this work we present Bio-PEPA, a process algebra for the modelling and the analysis of biochemical networks. It is a modification of PEPA, originally defined for the performance analysis of computer systems, in order to handle some features of biological ... Keywords: Analysis, Biochemical networks, Modelling, Process algebras

Federica Ciocchetta; Jane Hillston

2009-08-01T23:59:59.000Z

183

Multidimensional Data Model Research for Data Mart Based Analysis System of Drilling Fluid  

Science Conference Proceedings (OSTI)

For the sake of complex analysis requirements of drilling fluid analysis system, this paper proposes a multidimensional data model and implement the solution of data mart due to the analyzing weaknesses of conventional information system. Since the database ... Keywords: drilling fluid, Data Mart, Multidimensional Data Model, Multi-Analysis, Fact Tables, Dimension Tables

Li Jian; Wang Bing; Xu Bihua; Liang Dachun

2010-12-01T23:59:59.000Z

184

Non-markovian analysis for model driven engineering of real-time software  

Science Conference Proceedings (OSTI)

Quantitative evaluation of models with stochastic timings can decisively support schedulability analysis and performance engineering of real-time concurrent systems. These tasks require modeling formalisms and solution techniques that can encompass stochastic ... Keywords: model driven development, non-markovian stochastic analysis, real-time systems, software performance engineering

Laura Carnevali; Marco Paolieri; Alessandro Santoni; Enrico Vicario

2013-04-01T23:59:59.000Z

185

TTP 289A Syllabus: Energy Modeling for Policy Analysis TTP 289A-002  

E-Print Network (OSTI)

TTP 289A Syllabus: Energy Modeling for Policy Analysis 1 TTP 289A-002 (CRN81927) Energy Modeling for Policy Analysis Quarter: Winter 2014 When: T/Th: 2:10-4 pm and Policy, will also provide a portion of the lectures, specifically on modeling energy infrastructure

California at Davis, University of

186

Comparative analysis of models integrating synoptic forecast data into potato late blight risk estimate systems  

Science Conference Proceedings (OSTI)

Determinacy analysis, logistic regression, discriminant analysis and neural network models were compared for their accuracy in 5-day (120h) forecasts of daily potato late blight risk according to a modified-Wallin disease severity model. For 12 locations ... Keywords: Expert systems, Forecasting, Neural network models, Risk mitigation

Kathleen M. Baker; William W. Kirk

2007-05-01T23:59:59.000Z

187

A fresh look at cost estimation, process models and risk analysis”, EDSER-1  

E-Print Network (OSTI)

Reliable cost estimation is indispensable for industrial software development. A detailed analysis shows why the existing cost models are unreliable. Cost estimation should integrate software process modelling and risk analysis. A novel approach based on probability theory is proposed. A probabilistic cost model could provide a solid basis for cost-benefit analyses. 1

Frank Padberg

1999-01-01T23:59:59.000Z

188

Advances in the identification of transfer function models using Prony analysis  

SciTech Connect

This paper further advances the usefulness and understanding of Prony analysis as a tool for identification of models. The presented results allow more generality in the assumed model formulation. In addition, a comparison is made between Prony analysis and autoregressive moving-average (ARMA) modeling. Special attention is given to system conditions often encountered with power system electromechanical dynamics.

Trudnowski, D.J.; Donnelly, M.K. [Pacific Northwest Lab., Richland, WA (US); Hauer, J.F. [Bonneville Power Administration, Portland, OR (US)

1993-06-01T23:59:59.000Z

189

Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 to: A Dispersion Modeling Analysis of Downwash from 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads Docket No. EO-05-01. This report describes dispersion modeling performed for Unit 4 at Mirant's Potomac River Generating Station. The modeling was performed according to the Protocol approved by the Virginia Deparment of Environmental Quality. The purpose of the modeling was to demonstrate that Unit 4, operating alone under minimum and maximum loads will not cause or contribute to exceedances of the National Ambient Air Quality Standards (NAAQS). Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's

190

Update 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3 to: A Dispersion Modeling Analysis of Downwash from 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together Update 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together Docket No. EO-05-01. Docket No. EO-05-01. This report describes dispersion modeling performed for Units 1 and 4 at Mirant's Potomac River Generating Station. The purpose of the modeling was to demonstrate that Units 1 and 4, operating together under specific loads and during certain periods in a calendar day will not cause or contribut to excceedences of the National Ambient Air Quality Standards (NAAQS). Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together

191

Analysis of inverter models and harmonic propagation. Part III. Transient processes in inverter models  

SciTech Connect

Part III of a three part study presents the theoretical analysis and the experimental verification of transient processes that arise in the photovoltaic power system during its normal commutational operations. A general description of the transient processes problem and the method of analysis is presented. The transient processes in the inverter model with an inductive filter are analyzed for both the discontinuous and the continuous currents on the dc side of the inverter, and the problem of transient processes due to the change in illumination level is discussed. Transient processes in the inverter model with capacitive filter are analyzed with special emphasis on the process that arises in the photovoltaic power system immediately after the first ignition of the thyristors. The influence of the operating point of the solar cell array on the transient process is discussed. A sequence for optimal operations is recommended. Part I of the study (SAND 7040/1) contains a detailed description of the microcomputer based simulator that represents the output characteristics of the five commercially available types of solar cell arrays under different environmental conditions, and Part II (SAND 7040/2) describes the harmonics in the photovoltaic power system.

Slonim, M.A.; Stanek, E.K.

1984-09-01T23:59:59.000Z

192

Dynamic social network analysis using latent space models  

Science Conference Proceedings (OSTI)

This paper explores two aspects of social network modeling. First, we generalize a successful static model of relationships into a dynamic model that accounts for friendships drifting over time. Second, we show how to make it tractable to learn such ...

Purnamrita Sarkar; Andrew W. Moore

2005-12-01T23:59:59.000Z

193

Sensitivity Analysis Using an Adjoint of the PSU-NCAR Mesoseale Model  

Science Conference Proceedings (OSTI)

An adjoint of the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model has been developed for use in sensitivity analysis following Cacuci. Sensitivity analysis is defined as the determination of the ...

Ronald M. Errico; Tomislava Vukicevic

1992-08-01T23:59:59.000Z

194

Risk analysis of nuclear safeguards regulations. [Aggregated Systems Model (ASM)  

Science Conference Proceedings (OSTI)

The Aggregated Systems Model (ASM), a probabilisitic risk analysis tool for nuclear safeguards, was applied to determine benefits and costs of proposed amendments to NRC regulations governing nuclear material control and accounting systems. The objective of the amendments was to improve the ability to detect insiders attempting to steal large quantities of special nuclear material (SNM). Insider threats range from likely events with minor consequences to unlikely events with catastrophic consequences. Moreover, establishing safeguards regulations is complicated by uncertainties in threats, safeguards performance, and consequences, and by the subjective judgments and difficult trade-offs between risks and safeguards costs. The ASM systematically incorporates these factors in a comprehensive, analytical framework. The ASM was used to evaluate the effectiveness of current safeguards and to quantify the risk of SNM theft. Various modifications designed to meet the objectives of the proposed amendments to reduce that risk were analyzed. Safeguards effectiveness was judged in terms of the probability of detecting and preventing theft, the expected time to detection, and the expected quantity of SNM diverted in a year. Data were gathered in tours and interviews at NRC-licensed facilities. The assessment at each facility was begun by carefully selecting scenarios representing the range of potential insider threats. A team of analysts and facility managers assigned probabilities for detection and prevention events in each scenario. Using the ASM we computed the measures of system effectiveness and identified cost-effective safeguards modifications that met the objectives of the proposed amendments.

Al-Ayat, R.A.; Altman, W.D.; Judd, B.R.

1982-06-01T23:59:59.000Z

195

Integration of facility modeling capabilities for nuclear nonproliferation analysis  

Science Conference Proceedings (OSTI)

Developing automated methods for data collection and analysis that can facilitate nuclearnonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facilitymodeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facilitymodeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facilitymodelingcapabilities and illustrates how they could be integrated and utilized for nonproliferationanalysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facilitymodeling tools. After considering a representative sampling of key facilitymodelingcapabilities, the proposed integration framework is illustrated with several examples.

Burr, Tom [Los Alamos National Laboratory (LANL); Gorensek, M. B. [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Ward, Richard C [ORNL

2012-01-01T23:59:59.000Z

196

DOE Hydrogen Analysis Repository: Automotive System Cost Model...  

NLE Websites -- All DOE Office Websites (Extended Search)

Automotive System Cost Model (ASCM) Project Summary Full Title: Automotive System Cost Model (ASCM) Project ID: 118 Principal Investigator: Sujit Das Purpose Estimate current and...

197

DOE Hydrogen Analysis Repository: MetaNET Model  

NLE Websites -- All DOE Office Websites (Extended Search)

of demands, resources, and market modules that has primarily been used for long term electricity market equilibrium modeling. METANET is a perfect foresight model and assumes...

198

Modeling and Analysis of CSP Systems (Fact Sheet), Thermal Systems...  

NLE Websites -- All DOE Office Websites (Extended Search)

The models can also help analysts assess the potential market penetration and economic impact of CSP under different policy and deployment scenarios. The Solar Advisor Model (SAM)...

199

Methodology for fault detection and diagnostics in an ocean turbine using vibration analysis and modeling.  

E-Print Network (OSTI)

??This thesis describes a methodology for mechanical fault detection and diagnostics in an ocean turbine using vibration analysis and modeling. This methodology relies on the… (more)

Mjit, Mustapha.

2009-01-01T23:59:59.000Z

200

Modeling and Analysis for Control of Reactant and Water  

E-Print Network (OSTI)

conditions due to the inclusion of compressibility, we employ the simplifying evaporation/condensation model

Stefanopoulou, Anna

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

A multidimensional data model and OLAP analysis for agricultural production  

Science Conference Proceedings (OSTI)

In the paper a multidimensional data model called CULTEH is built. In the model are defined the dimensions, the hierarchies and the facts. Based on this model an OLAP cube called CUBECTH is built. The OLAP cube accepts queries on several dimensions and ... Keywords: OLAP operations, agricultural production, data cube, multidimensional data model, on-line analytical processing (OLAP)

Constanta Zoie Radulescu; Marius Radulescu; Adrian Turek Rahoveanu

2009-03-01T23:59:59.000Z

202

A Linear Stochastic Dynamical Model of ENSO. Part II: Analysis  

Science Conference Proceedings (OSTI)

In this study the behavior of a linear, intermediate model of ENSO is examined under stochastic forcing. The model was developed in a companion paper (Part I) and is derived from the Zebiak–Cane ENSO model. Four variants of the model are used ...

C. J. Thompson; D. S. Battisti

2001-02-01T23:59:59.000Z

203

The ICF, Inc. coal and electric utilities model : an analysis and evaluation  

E-Print Network (OSTI)

v.1. The Electric Power Research Institute (EPRI) is sponsoring a series of evaluations of important energy policy and electric utility industry models by the MIT Energy Model Analysis Program (EMAP). The subject of this ...

Wood, David O.

1981-01-01T23:59:59.000Z

204

Validation and Sensitivity Analysis of a New Atmosphere–Soil–Vegetation Model  

Science Conference Proceedings (OSTI)

This paper describes details, validation, and sensitivity analysis of a new atmosphere–soil–vegetation model. The model consists of one-dimensional multilayer submodels for atmosphere, soil, and vegetation and radiation schemes for the ...

Haruyasu Nagai

2002-02-01T23:59:59.000Z

205

Status Report on Modeling and Analysis of Small Modular Reactor Economics  

SciTech Connect

This report describes the work performed to generate the model for SMR economic analysis. The model is based on the G4-ECONS calculation tool developed for the Generation IV International Forum (GIF).

Harrison, Thomas J [ORNL; Hale, Richard Edward [ORNL; Moses, Rebecca J [ORNL

2013-04-01T23:59:59.000Z

206

Historical analysis of legal opinions with a sparse mixed-effects latent variable model  

Science Conference Proceedings (OSTI)

We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions between the components in metadata, in a general way. To test this, we ...

William Yang Wang; Elijah Mayfield; Suresh Naidu; Jeremiah Dittmar

2012-07-01T23:59:59.000Z

207

Enhanced flux balance analysis to model metabolic networks  

Science Conference Proceedings (OSTI)

Flux Balance Analysis (FBA) is a widely used technique to predict rates of reactions in metabolic networks in cells under steady state using only stoichiometric information about the reactions. In this work, we introduce Enhanced Flux Balance Analysis ...

Nishanth Ulhas Nair; Navin Goyal; Nagasuma R. Chandra

2010-08-01T23:59:59.000Z

208

COMFAR III: Computer Model for Feasibility Analysis and Reporting | Open  

Open Energy Info (EERE)

COMFAR III: Computer Model for Feasibility Analysis and Reporting COMFAR III: Computer Model for Feasibility Analysis and Reporting Jump to: navigation, search Tool Summary Name: COMFAR III: Computer Model for Feasibility Analysis and Reporting Agency/Company /Organization: United Nations Industrial Development Organization Focus Area: Industry Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.unido.org/index.php?id=o3470 Language: "Arabic, Chinese, English, French, German, Japanese, Portuguese, Russian, Spanish; Castilian" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; Bedawiyet, Belarusian, Bemba, Bengali, Berber languages, Bhojpuri, Bihari languages, Bikol, Bini; Edo, Bislama, Blin; Bilin, Blissymbols; Blissymbolics; Bliss, Bosnian, Braj, Breton, Buginese, Bulgarian, Buriat, Burmese, Caddo, Catalan; Valencian, Caucasian languages, Cebuano, Celtic languages, Central American Indian languages, Central Khmer, Chagatai, Chamic languages, Chamorro, Chechen, Cherokee, Cheyenne, Chibcha, Chichewa; Chewa; Nyanja, Chinese, Chinook jargon, Chipewyan; Dene Suline, Choctaw, Chuukese, Chuvash, Classical Newari; Old Newari; Classical Nepal Bhasa, Classical Syriac, Coptic, Cornish, Corsican, Cree, Creek, Creoles and pidgins , Crimean Tatar; Crimean Turkish, Croatian, Cushitic languages, Czech, Dakota, Danish, Dargwa, Delaware, Dinka, Divehi; Dhivehi; Maldivian, Dogri, Dogrib, Dravidian languages, Duala, Dutch; Flemish, Dyula, Dzongkha, Eastern Frisian, Efik, Egyptian (Ancient), Ekajuk, Elamite, English, Erzya, Esperanto, Estonian, Ewe, Ewondo, Fang, Fanti, Faroese, Fijian, Filipino; Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

209

Underground Test Area Subproject Phase I Data Analysis Task. Volume VII - Tritium Transport Model Documentation Package  

SciTech Connect

Volume VII of the documentation for the Phase I Data Analysis Task performed in support of the current Regional Flow Model, Transport Model, and Risk Assessment for the Nevada Test Site Underground Test Area Subproject contains the tritium transport model documentation. Because of the size and complexity of the model area, a considerable quantity of data was collected and analyzed in support of the modeling efforts. The data analysis task was consequently broken into eight subtasks, and descriptions of each subtask's activities are contained in one of the eight volumes that comprise the Phase I Data Analysis Documentation.

None

1996-12-01T23:59:59.000Z

210

A multidimensional data model and OLAP analysis for soil physical characteristics  

Science Conference Proceedings (OSTI)

The paper describes the construction of a multidimensional data model intended for the analysis of soil physical properties. The data from the model are provided by two agricultural soil/land databases. Based on the multidimensional data model we build ... Keywords: OLAP operations, data cube, land use, multidimensional data model, on-line analytical processing (OLAP), soil physical properties

Constanta Zoie Radulescu; Marius Radulescu; Virgil Vlad; Dumitru Marian Motelica

2008-06-01T23:59:59.000Z

211

Empirical Models of End-User Network Behavior from NETI@home Data Analysis  

Science Conference Proceedings (OSTI)

The simulation of computer networks requires accurate models of user behavior. To this end, we present empirical models of end-user network traffic derived from the analysis of NETI@home (NETwork Intelligence at home) data. There are two forms of models ... Keywords: internet measurement, network traffic models, simulation

Charles R Simpson, Jr; Dheeraj Reddy; George F Riley

2008-10-01T23:59:59.000Z

212

Software Development, Modeling, and Analysis: We're Developing Advanced Design Tools to Support the Wind Industry with "State-of-the-Art" Analysis Capability (Fact Sheet)  

SciTech Connect

This fact sheet provides an overview of the software development, modeling, and analysis for wind turbine performance, loads, and stabiluty analysis.

2010-01-01T23:59:59.000Z

213

Software Development, Modeling, and Analysis: We're Developing Advanced Design Tools to Support the Wind Industry with "State-of-the-Art" Analysis Capability (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet provides an overview of the software development, modeling, and analysis for wind turbine performance, loads, and stabiluty analysis.

Not Available

2010-01-01T23:59:59.000Z

214

Modeling aviation's global emissions, uncertainty analysis, and applications to policy  

E-Print Network (OSTI)

(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...

Lee, Joosung Joseph, 1974-

2005-01-01T23:59:59.000Z

215

Drought Analysis Based on a Marked Cluster Poisson Model  

Science Conference Proceedings (OSTI)

This paper presents an operational definition of drought events based on an “excess over threshold” approach applied on rainfall series and develops a stochastic model for describing droughts defined in that way. The model consists of a Poisson ...

Ana C. Cebrián; Jesús Abaurrea

2006-08-01T23:59:59.000Z

216

An Error Analysis of Atlantic Tropical Cyclone Track Guidance Models  

Science Conference Proceedings (OSTI)

Mean track forecast errors over the 6-yr period 1983–88 are compared for four tropical cyclone-track forecast models in use at the National Hurricane Center (NHC). The model types represented are statistical, statistical-dynamical, barctropic-...

Mark Demaria; Miles B. Lawrence; James T. Kroll

1990-03-01T23:59:59.000Z

217

An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis  

E-Print Network (OSTI)

We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if...then... statements (for example, if high blood ...

Letham, Benjamin

2013-11-15T23:59:59.000Z

218

Optioned Portfolio Selection: Models and Analysis Jianfeng LIANG  

E-Print Network (OSTI)

and Oldenkamp [8] proposed a linear programming model with a given level of guaranteed return. The so

Zhang, Shuzhong

219

Analysis Model for Domestic Hot Water Distribution Systems: Preprint  

DOE Green Energy (OSTI)

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.

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

2011-11-01T23:59:59.000Z

220

Hydrogen Technology Analysis: H2A Production Model Update (Presentation)  

DOE Green Energy (OSTI)

This presentation by Todd Ramsden at the 2007 DOE Hydrogen Program Annual Merit Review Meeting provides information about NREL's hydrogen technology analysis activities.

Ramsden, T.

2007-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Analysis & Projections - Models & Documentation - U.S. Energy...  

Annual Energy Outlook 2012 (EIA)

U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and...

222

H2A Delivery Components Model and Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

- Replacement capital includes for some components H2A Delivery Component Economic Analysis * The economic results presented assume specific scenario - Scenario refers to...

223

Bayesian Analysis in Applications of Hierarchical Models: Issues and Methods  

E-Print Network (OSTI)

A. S. Smith (Eds. ), Bayesian statistics 4 (pp. 336-338).Smith, A. F. (1993). Bayesian inference for generalizedat UCLA on May 23, 2011 Bayesian Analysis for Hierarchical

Michael Seltzer; Wing H. Wong; Anthony S. Bryk

2011-01-01T23:59:59.000Z

224

Enhanced oil recovery data base analysis by simplified predictive models  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy, Bartlesville Energy Technology Center (BETC), has been developing computerized data bases and simplified predictive models to be used to predict enhanced oil recovery (EOR) potential in the U.S. The development phase of this work is nearing completion whereupon the models and data bases will be made available to the public. This paper describes the overall development phase for the models and data bases with analyses of selected EOR projects using the predictive models. Examples of model outputs are discussed and brief descriptions of the predictive algorithms are given.

Ray, R.M.; Wesson, T.C.

1982-11-01T23:59:59.000Z

225

Evaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,*  

E-Print Network (OSTI)

. It is shown that modeling and analysis provide information useful for setting a maintenance policy. 1 of the energy market, which has forced the producers to be more competitive by reacting promptly and reliablyEvaluating maintenance policies by quantitative modeling and analysis Enrico Zio1,2,* , Michele

Paris-Sud XI, Université de

226

Original article: Overview of analytical models of permanent magnet electrical machines for analysis and design purposes  

Science Conference Proceedings (OSTI)

Generally, accurate modelling of electrical machines requires the use of finite-element method. However, FE analysis is too time consuming, especially at firsts design stages, from the point of view of engineers working in R&D departments in the electrical ... Keywords: Analytical modelling, Electromagnetic analysis, Permanent magnet machines

Huguette Tiegna, Yacine Amara, Georges Barakat

2013-04-01T23:59:59.000Z

227

Upper bound limit analysis model for FRP-reinforced masonry curved structures. Part II: Structural analyses  

Science Conference Proceedings (OSTI)

A homogenized full 3D limit analysis model for the evaluation of collapse loads of FRP-reinforced masonry vaults is presented. Six-noded rigid infinitely resistant wedges are used to model masonry. Three-noded rigid infinitely resistant triangles are ... Keywords: FRP-reinforcement, Homogenization, Kinematic approach, Limit analysis, Masonry, Vaults

Gabriele Milani; Enrico Milani; Antonio Tralli

2009-12-01T23:59:59.000Z

228

The diversity and molecular modelling analysis of B12-dependent and B12-independent glycerol dehydratases  

Science Conference Proceedings (OSTI)

To broaden our knowledge on the diversity of glycerol dehydratases, comprehensive sequence and molecular modelling analyses of these enzymes were performed. Our sequence analysis showed that B12-dependent and Bmodelling, sequence analysis, structure

Yuemin Liu; August A. Gallo; Rakesh K. Bajpai; Andrei Chistoserdov; Andrew T. Nelson; Leah N. Segura; Wu Xu

2010-01-01T23:59:59.000Z

229

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

DOE Green Energy (OSTI)

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.

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

2012-06-01T23:59:59.000Z

230

Computer analysis of the sensitivity of the integrated assessment model MERGE-5I  

Science Conference Proceedings (OSTI)

This paper reports on an application of a large-scale non-linear optimization model to the analysis of environmental problems. The authors present first results of the initial stage of the study, a sensitivity analysis of the model's input parameters. ...

Vyacheslav Maksimov; Leo Schrattenholzer; Yaroslav Minullin

2005-09-01T23:59:59.000Z

231

Fault Modeling and Analysis for Resistive Bridging Defects in a Synchronizer  

Science Conference Proceedings (OSTI)

This paper presents fault modeling and analysis for bridging defects in a synchronizer that is implemented by two D flip-flops. Bridging defects are injected into any two nodes of the synchronizer, and HSPICE is used to perform circuit analysis. The ... Keywords: Bridging defect, Fault modeling, Synchronizer

Hyoung-Kook Kim; Wen-Ben Jone; Laung-Terng Wang

2010-06-01T23:59:59.000Z

232

International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model description  

E-Print Network (OSTI)

THE MODEL.................................................................................................................................7 I. Basic Methodology on Food............................................................................................. 7

Mark W. Rosegrant; Claudia Ringler; Siwa Msangi; Timothy B. Sulser; Tingju Zhu; Sarah A. Cline

2002-01-01T23:59:59.000Z

233

Analysis and reduction of chemical models under uncertainty.  

SciTech Connect

While models of combustion processes have been successful in developing engines with improved fuel economy, more costly simulations are required to accurately model pollution chemistry. These simulations will also involve significant parametric uncertainties. Computational singular perturbation (CSP) and polynomial chaos-uncertainty quantification (PC-UQ) can be used to mitigate the additional computational cost of modeling combustion with uncertain parameters. PC-UQ was used to interrogate and analyze the Davis-Skodje model, where the deterministic parameter in the model was replaced with an uncertain parameter. In addition, PC-UQ was combined with CSP to explore how model reduction could be combined with uncertainty quantification to understand how reduced models are affected by parametric uncertainty.

Oxberry, Geoff; Debusschere, Bert J.; Najm, Habib N.

2008-08-01T23:59:59.000Z

234

Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Update 1 to: A Dispersion Modeling Analysis of Downwash from Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Docket No. EO-05-01. This report describes dispersion modeling performed for Unit 1 at Mirant's Potomac River Generating Station. The modeling was performed according to the Protocol approved by the Virginia Department of Environmental Quality. The purpose of the modeling was to demonstrate that Unit 1 operating alone under specific loads and during certain periods in a calendar day will not cause or contribute to exceedances of the National Ambient Air Quality Standards (NAAQS).

235

Stability Analysis of a Simplified Yet Complete Model for Chronic Myelegenous Leukemia  

E-Print Network (OSTI)

We analyze the asymptotic behavior of a partial differential equation (PDE) model for hematopoiesis. This PDE model is derived from the original agent-based model formulated by (Roeder et al., Nat. Med., 2006), and it describes the progression of blood cell development from the stem cell to the terminally differentiated state. To conduct our analysis, we start with the PDE model of (Kim et al, JTB, 2007), which coincides very well with the simulation results obtained by Roeder et al. We simplify the PDE model to make it amenable to analysis and justify our approximations using numerical simulations. An analysis of the simplified PDE model proves to exhibit very similar properties to those of the original agent-based model, even if for slightly different parameters. Hence, the simplified model is of value in understanding the dynamics of hematopoiesis and of chronic myelogenous leukemia, and it presents the advantage of having fewer parameters, which makes comparison with both experimental data and alternative...

Jauffret, Marie Doumic; Perthame, Benoît

2009-01-01T23:59:59.000Z

236

Evaluation of fluid-modeling techniques in the seismic analysis of LMFBR reactors  

Science Conference Proceedings (OSTI)

Fluid modeling is of great importance in the seismic analysis of the LMFBR primary system. If the fluid model used in the analysis is too simplified, the results could be very uncertain. On the other hand, if the model is too detailed, considerable difficulty might be encountered in the analysis. The objectives of this study are to examine the validity of the two commonly used fluid modeling techniques. i.e. simplified added mass method and lumped mass method and to provide some useful information on the treatment of fluid in seismic analysis. The validity of these two methods of analysis is examined by comparing the calculated seismic responses of a fluid-structure system based on these two methods with that calculated from a coupled fluid-structure interaction analysis in which the fluid is treated by continuum fluid elements.

Ma, D.C.; Gvildys, J.; Chang, Y.W.

1983-01-01T23:59:59.000Z

237

Global horizontal irradiance clear sky models : implementation and analysis.  

SciTech Connect

Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.

Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.

2012-03-01T23:59:59.000Z

238

A long-term sensitivity analysis of the denitrification and decomposition model  

Science Conference Proceedings (OSTI)

Although sensitivity analysis (SA) was conducted on the DeNitrification-DeComposition (DNDC) model, a global SA over a long period of time is lacking. We used a method of Bayesian analysis of computer code outputs (BACCO) with the Gaussian emulation ... Keywords: BACCO, BACCO GEM-SA, DNDC, GEM-SA, GSA, Global sensitivity analysis, Long-term, SA

Xiaobo Qin; Hong Wang; Yu'E Li; Yong Li; Brian Mcconkey; Reynald Lemke; Changsheng Li; Kelsey Brandt; Qingzhu Gao; Yunfan Wan; Shuo Liu; Yuntong Liu; Chao Xu

2013-05-01T23:59:59.000Z

239

Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model  

E-Print Network (OSTI)

i Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation CENTER FOR IMAGING SCIENCE Title of Dissertation: Polarimetric remote sensing system analysis: DIRSIG____________________________________________________________ Date #12;vi #12;vii Polarimetric remote sensing system analysis: DIRSIG model validation and impact

Salvaggio, Carl

240

Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model  

Science Conference Proceedings (OSTI)

Detection and analysis of ocean surface phenomena have so far relied on manual analysis of long sequences of satellite images or images produced from the mathematical models. In this paper a technique for the three-dimensional shape analysis and spato-temporall ...

Veena Moolani; Ramprasad Balasubramanian; Li Shen; Amit Tandon

2006-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


241

A unified model for detecting efficient and inefficient outliers in data envelopment analysis  

Science Conference Proceedings (OSTI)

Data envelopment analysis (DEA) uses extreme observations to identify superior performance, making it vulnerable to outliers. This paper develops a unified model to identify both efficient and inefficient outliers in DEA. Finding both types is important ... Keywords: Data envelopment analysis, Outlier, Post analysis

Wen-Chih Chen; Andrew L. Johnson

2010-02-01T23:59:59.000Z

242

Model Development and Analysis of the Fate and Transport of Water in a Salt  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Model Development and Analysis of the Fate and Transport of Water Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository The study summarizes the initial work on numerical modeling, simulations, and experimental results related to nuclear waste storage in a salt repository. The study reflects the project's preliminary effort at simulating the fluid flow and heat transport processes, before treating the fully coupled thermal-mechanical-hydrologic-chemical (TMHC) coupled processes in the future. Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository More Documents & Publications Coupled Model for Heat and Water Transport in a High Level Waste Repository

243

Centrifuge Modeling and Analysis of Concrete Gravity Dams  

Science Conference Proceedings (OSTI)

This report contains general background information on centrifuge experimentation and linear elastic fracture mechanics pertaining to concrete gravity dam models, and explains in detail the experimental methodology and procedures developed for testing concrete gravity dam models in centrifuges. An important detail in the experimental procedure is that the models are loaded upstream with water and, at fracture, have water uplift pressure within any cracks. Finally, test results and comparisons to analytic...

1995-12-14T23:59:59.000Z

244

Modeling and Analysis of Renewable Generation in a Sustainable Portfolio  

Science Conference Proceedings (OSTI)

This Technical Update reports the results of work to enhance EPRIs financial model of the U.S. electric sector by improving the representations for the role wind and biomass generation in the future U.S. generation mix. The model simulates generation capacity expansion and dispatch at the national and regional levels over the period 2010 to 2050. The model evaluates the possible effects of climate policy, renewable portfolio standard (RPS), energy efficiency, technology availability, and market scenarios...

2010-12-17T23:59:59.000Z

245

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

4.2.1 Individual TCL model . . . . . . . . . . . . . .4.2.2 Plant: The TCL population . . . . . . . .5 TCL Resource, Revenues & Costs 5.1 Chapter

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

246

Modeling Analysis of Biosparging at the Sanitary Landfill  

Science Conference Proceedings (OSTI)

This report presents the results of a groundwater modeling study that evaluates the performance of the biosparging system at the Sanitary Landfill.

Jackson, D.

1998-11-25T23:59:59.000Z

247

DOE Hydrogen Analysis Repository: The Oil Security Metrics Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Summary Full Title: The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy Research and...

248

Joint Meeting on Hydrogen Delivery Modeling and Analysis, May...  

NLE Websites -- All DOE Office Websites (Extended Search)

Delivery Model: Discussion Items, Comments, and Follow-up Actions 1. Pipeline Pressures: Transmission, Trunk, and Distribution lines - Early on it may be difficult to do anything...

249

DOE Hydrogen Analysis Repository: H2CAS Model  

NLE Websites -- All DOE Office Websites (Extended Search)

decisions and actions of drivers; hydrogen fueling station investors; combined heat, hydrogen, and power system owners; and vehicle original equipment manufacturers are modeled....

250

Analysis of Precipitation Reaction Kinetics: Kinetic Model vs ...  

Science Conference Proceedings (OSTI)

The model combines thermodynamic input as, e.g., obtained from CALPHAD and an additional contribution of misfit strain energy. By consequent application of ...

251

Petri net modeling of fault analysis for probabilistic risk assessment.  

E-Print Network (OSTI)

??Fault trees and event trees have been widely accepted as the modeling strategy to perform Probabilistic Risk Assessment (PRA). However, there are several limitations associated… (more)

Lee, Andrew

2013-01-01T23:59:59.000Z

252

CFD Modeling and Analysis of Casting of Energetic Materials in ...  

Science Conference Proceedings (OSTI)

Multiphase Flow in a Steelmaking Converter Using an Unconventional Lance · Multiphysics CFD Modeling of a Free Falling Jet during Melt-Blowing Slag ...

253

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network (OSTI)

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

254

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

buildings”. In: Journal of Solar Energy Engineering 120 (I-II”. In: Journal of Solar Energy Engineering 120 (1998),modeling”. In: Journal of Solar Energy Engineering 120 (

Mathieu, Johanna L.

2013-01-01T23:59:59.000Z

255

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

buildings”. In: Journal of Solar Energy Engineering 120 (I-II”. In: Journal of Solar Energy Engineering 120 (1998),modeling”. In: Journal of Solar Energy Engineering 120 (

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

256

A New Comparative Approach to Macroeconomic Modeling and Policy Analysis  

E-Print Network (OSTI)

such as output, inflation and nominal interest rates. Models should also be able to provide answers to typical such as a central bank. We do not need to throw out our DSGE and asset-pricing models: rather we need to develop titled "Reflections on the nature of monetary policy non-standard measures and finance theory" by Jean

Tesfatsion, Leigh

257

Linking the Pacific Meridional Mode to ENSO: Coupled Model Analysis  

Science Conference Proceedings (OSTI)

The occurrence of a boreal spring phenomenon referred to as the Pacific meridional model (MM) is shown to be intimately linked to the development of El Niño–Southern Oscillation (ENSO) in a long simulation of a coupled model. The MM, ...

Li Zhang; Ping Chang; Link Ji

2009-06-01T23:59:59.000Z

258

A Mathematical Model for the Analysis of Acid Deposition  

Science Conference Proceedings (OSTI)

This paper describes the use of a regional-scale air quality model as a diagnostic tool for analyzing problems associated with acid rain. The model, which is hybrid in nature, consists of a puff module and a grid module. The puff module computes ...

Mei-Kao Liu; Douglas A. Stewart; Donald Henderson

1982-06-01T23:59:59.000Z

259

Spherical Harmonic Analysis of a Model-Generated Climatology  

Science Conference Proceedings (OSTI)

Monthly mean fields of 850 mb temperature (T850), 500 mb geopetential height (G500) and sea level pressure (SLP) were generated in the course of a 5-year climate simulation run with a global general circulation model. Both the model-generated ...

Zaphiris D. Christidis; Jerome Spar

1981-02-01T23:59:59.000Z

260

Numerical modelling and analysis of a room temperature magnetic  

E-Print Network (OSTI)

are separated by channels of a heat transfer fluid. The time-dependent model solves the momentum and continuity equations of the flow of the heat transfer fluid and the coupled energy equations of the heat transfer and it was concluded that the model has energy conservation and that the solution is independent of the chosen grid

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

A bifurcation analysis of a simple phytoplankton and zooplankton model  

Science Conference Proceedings (OSTI)

The paper presents a detailed study of a four component population dynamical model consisting of the biomasses of carbon of phytoplankton x"1, nitrogen of phytoplankton x"2, carbon of zooplankton x"3 and total free nutrient x"4. In this model, both the ... Keywords: Global stability, Hopf bifurcation, Limit point, Local stability, Steady states

Norhayati Hamzah; A. Ross; G. C. Wake

2007-02-01T23:59:59.000Z

262

Variational Objective Analysis for Atmospheric Field Programs: A Model Assessment  

Science Conference Proceedings (OSTI)

The objective of this study is to examine the effectiveness of the variational objective analysis (VOA) for producing realistic diagnoses of atmospheric field program data. Simulations from the Naval Research Laboratory's Coupled Ocean/Atmosphere ...

D. E. Waliser; J. A. Ridout; S. Xie; M. Zhang

2002-12-01T23:59:59.000Z

263

DOE Hydrogen Analysis Repository: Hydrogen Fueling Station Economics Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Fueling Station Economics Model Fueling Station Economics Model Project Summary Full Title: Hydrogen Fueling Station Economics Model Project ID: 193 Principal Investigator: Bill Liss Brief Description: The Gas Technology Institute developed a hydrogen fueling station economics model as part of their project to develop a natural gas to hydrogen fuel station. Keywords: Compressed gas; vehicle; refueling station; cost; natural gas Purpose Calculate hydrogen fueling station costs, including capital, operating, and maintenance costs. Performer Principal Investigator: Bill Liss Organization: Gas Technology Institute Address: 1700 South Mount Prospect Road Des Plains, IL 60018-1804 Telephone: 847-768-0530 Email: william.liss@gastechnology.org Project Description Type of Project: Model Category: Hydrogen Fuel Pathways

264

DOE Hydrogen Analysis Repository: AirCRED Model  

NLE Websites -- All DOE Office Websites (Extended Search)

AirCRED Model AirCRED Model Project Summary Full Title: AirCRED Model Project ID: 119 Principal Investigator: Andy Burnham Brief Description: The AirCRED model calculates the emissions reductions achieved through deployment of alternative fuel vehicles. Purpose To assist the U.S. Department of Energy's (DOE's) Clean Cities coalitions in estimating the ozone precursor and winter season carbon monoxide (CO) emission reduction credits earned by acquiring original equipment manufacturer (OEM) alternative fuel vehicles (AFVs), Argonne National Laboratory has developed a graphical user interface (GUI)-based calculation model called AirCRED. Performer Principal Investigator: Andy Burnham Organization: Argonne National Laboratory (ANL) Address: 9700 S. Cass Ave. Argonne, IL 60439

265

Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 to: A Dispersion Modeling Analysis of Downwash from 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Docket No. EO-05-01. This report describes AERMOD modeling results performed for Unit 1 at Mirant's Potomac River Generating Station. The purpose of these runs was to demonstrate that operation of Unit 1 for 24 hours a day loads from 35MW to 88 MW with the use of trona to reduce SO2 emissions will not cause or contribute to modeled excceedences of the National Ambient Air Quality Standards (NAAQS). Mirant proposes to use trona on an as needed basis to limit SO2 emissions to less than

266

Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6 to: A Dispersion Modeling Analysis of Downwash from 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 Docket No. EO-05-01: This report describes dispersion modeling performed for simultaneous operation of three baseload units at Mirant's Potomac River Generating Station (PRGS). The units (3,4,5) would operate at maximum load (107 MW) for up to 12 hours and minimum load (35 MW) 12 hours or more in a calendar day. This mode of operation is also referred to as Option B in Mirant Potomac River LLC's December 30, 2005 letter to the U.S. Department of Energy regarding District of Columbia Public Service Commission, Docket No. EO-05-01. The modeling was performed according to

267

Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 to: A Dispersion Modeling Analysis of Downwash from 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit Docket No. EO-05-01: This report describes dispersion modeling performed for simultaneous operation of one baseload unit and two cycling units at Mirant's Potomac River Generating Station (PRGS). This mode of operation is also referred to as Option A in Mirant Potomac River LLC's December 30, 2005 letter to the U.S. Department of Energy regarding District of Columbia Public Service Commission, Docket No. EO-05- 01. The modeling was performed according to the Protocol approved by the Virginia Department of

268

High dimensional model representation based formulations for fuzzy finite element analysis of structures  

Science Conference Proceedings (OSTI)

This paper presents a practical approach based on high dimensional model representation (HDMR) for analyzing the response of structures with fuzzy parameters. The proposed methodology involves integrated finite element modeling, HDMR based response surface ... Keywords: Explicit formulation, Finite element, Fuzzy analysis, High dimensional model representation, Implicit formulation, Response surface

A. S. Balu; B. N. Rao

2012-03-01T23:59:59.000Z

269

Performance Modeling and Comparative Analysis of the MILC Lattice QCD Application su3_rmd  

Science Conference Proceedings (OSTI)

Application performance modeling is an essential part of application and system development as HPC moves into the petascale and prepares for the exascale. However, performance modeling of parallel systems is a difficult task due to natural variations ... Keywords: performance analysis, MILC, semi-analytical modeling

Greg Bauer; Steven Gottlieb; Torsten Hoefler

2012-05-01T23:59:59.000Z

270

Economics definitions, methods, models, and analysis procedures for Homeland Security applications.  

SciTech Connect

This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.

Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward

2010-01-01T23:59:59.000Z

271

Hydrogen Delivery Model for H2A Analysis: A Spreadsheet Model For Hydrogen Delivery Scenarios  

E-Print Network (OSTI)

FINAL REPORT HYDROGEN DELIVERY MODEL FOR H2AA SPREADSHEET MODEL FOR HYDROGEN DELIVERY SCENARIOS Joan M.Department of Energy Hydrogen, Fuel Cells and Infrastructure

Ogden, Joan

2004-01-01T23:59:59.000Z

272

Hydrogen Delivery Model for H2A Analysis: A Spreadsheet Model for Hydrogen Delivery Scenarios  

E-Print Network (OSTI)

FINAL REPORT HYDROGEN DELIVERY MODEL FOR H2AA SPREADSHEET MODEL FOR HYDROGEN DELIVERY SCENARIOS Joan M.Department of Energy Hydrogen, Fuel Cells and Infrastructure

Ogden, Joan M

2004-01-01T23:59:59.000Z

273

DOE Hydrogen Analysis Repository: Second Generation Model (SGM)  

NLE Websites -- All DOE Office Websites (Extended Search)

Second Generation Model (SGM) Second Generation Model (SGM) Project Summary Full Title: Second Generation Model (SGM) Project ID: 166 Principal Investigator: Roland Sands Brief Description: The SGM projects economic activity, energy consumption and greenhouse gas emissions for each region in five-year time steps from 1990 through 2050. Purpose Project economic activity, energy consumption and greenhouse gas emissions for various regions. Performer Principal Investigator: Roland Sands Organization: Pacific Northwest National Laboratory (PNNL) Address: 8400 Baltimore Avenue, JGCRI College Park, MD 20740 Telephone: 301-314-6765 Email: roland.sands@pnl.gov Project Description Type of Project: Model Category: Energy Infrastructure, Environmental, Macro-Economic User Inputs: Factor productivity growth rates by sector (9 in SGM 98) and region; capital stocks by vintage, demographic determinants (endogenous demographics), fossil and non-fossil fuel resources

274

Exploratory Analysis of Precipitation Events with Implications for Stochastic Modeling  

Science Conference Proceedings (OSTI)

The use of a concept called a precipitation “event” to obtain information regarding certain statistical properties of precipitation time series at a particular location and for a specific application (e.g., for modeling erosion) is described. ...

Barbara G. Brown; Richard W. Katz; Allan H. Murphy

1985-01-01T23:59:59.000Z

275

Operations modeling and analysis of an underground coal mine  

Science Conference Proceedings (OSTI)

In general, it is quite difficult to describe and model operations and conveyance systems precisely in underground coal mines because of geological components, poor visibility, unreliable installed facilities, and difficult work conditions. In this study, ...

Kanna Miwa; Soemon Takakuwa

2011-12-01T23:59:59.000Z

276

Analysis of model parameters for a polymer filtration simulator  

Science Conference Proceedings (OSTI)

We examine a simulation model for polymer extrusion filters and determine its sensitivity to filter parameters. The simulator is a three-dimensional, time-dependent discretization of a coupled system of nonlinear partial differential equations used to ...

N. Brackett-Rozinsky; S. Mondal; K. R. Fowler; E. W. Jenkins

2011-01-01T23:59:59.000Z

277

CIMS: a framework for infrastructure interdependency modeling and analysis  

Science Conference Proceedings (OSTI)

Today's society relies greatly upon an array of complex national and international infrastructure networks, such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into ...

Donald D. Dudenhoeffer; May R. Permann; Milos Manic

2006-12-01T23:59:59.000Z

278

Singular Vector Analysis for Atmospheric Chemical Transport Models  

Science Conference Proceedings (OSTI)

The singular vectors of a chemical transport model are the directions of maximum perturbation growth over a finite time interval. They have proved useful for the estimation of error growth, the initialization of ensemble forecasts, and the ...

Wenyuan Liao; Adrian Sandu; Gregory R. Carmichael; Tianfeng Chai

2006-09-01T23:59:59.000Z

279

Image-Driven Population Analysis Through Mixture Modeling  

E-Print Network (OSTI)

We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of the algorithm is a small number of template ...

Shenton, Martha E.

280

Thermomechanics of hydrogen storage in metallic hydrides: modeling and analysis  

E-Print Network (OSTI)

A thermodynamically consistent mathematical model for hydrogen adsorption in metal hydrides is proposed. Beside hydrogen diffusion, the model accounts for phase transformation accompanied by hysteresis, swelling, temperature and heat transfer, strain, and stress. We prove existence of solutions of the ensuing system of partial differential equations by a carefully-designed, semi-implicit approximation scheme. A generalization for a drift-diffusion of multi-component ionized "gas" is outlined, too.

Tomas Roubicek; Giuseppe Tomassetti

2013-09-12T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Fuzzy Inductive Reasoning for Variable Selection Analysis and Modeling of Biological Systems  

E-Print Network (OSTI)

Fuzzy Inductive Reasoning (FIR) is a qualitative inductive modeling and simulation methodology for dealing with dynamical systems. It has proven to be a powerful tool for qualitative model identification and prediction of future behavior of various kinds of dynamical systems, especially from the soft sciences, such as biology, biomedicine, and ecology. This paper focuses on modeling aspects of the FIR methodology. It is shown that the FIR variable selection analysis is a useful tool not only for FIR but also for other classical quantitative methodologies such as NARMAX (Nonlinear AutoRegressive Moving Average modeling with eXternal inputs). The tool allows to obtain models that interpret a system under study in optimal ways, in the sense that these models are well suited for predicting the future behavior of the system they represent. The FIR variable selection analysis turns out to work well even in those applications where standard statistical variable selection analysis does not pro...

Angela Nebot; Francois E. Cellier; Ra' ul Carvajal V

1997-01-01T23:59:59.000Z

282

Modeling the thermoeconomic analysis of the marine propulsion systems  

Science Conference Proceedings (OSTI)

This paper presents the optimization problem in operation situation of the internal combustion energetic plants and there are suggested deterministic and stochastic solving methods. There is presented an economic analysis of energy installations with ... Keywords: clear profit, economic efficiency, energetic plant, specific costs

Krisztina Uzuneanu; Mariana Lupchian

2012-04-01T23:59:59.000Z

283

Modeling, simulation, sensitivity analysis, and optimization of hybrid systems  

Science Conference Proceedings (OSTI)

Hybrid (discrete/continuous) systems exhibit both discrete state and continuous state dynamics which interact to such a significant extent that they cannot be decoupled and must be analyzed simultaneously. We present an overview of the work that has ... Keywords: Hybrid automata, combined discrete/continuous simulation, consistent reinitialization, discontinuities, sensitivity analysis, state events, transitions

Paul I. Barton; Cha Kun Lee

2002-10-01T23:59:59.000Z

284

A three-phase converter model for harmonic analysis of HVDC systems  

Science Conference Proceedings (OSTI)

An equivalent circuit model is presented to model bridge converters for three-phase HVDC harmonic power flow analysis. The validity and accuracy of the model are verified by comparing simulation results against field test results. The model is interfaced with a multiphase harmonic load flow program to investigate the generation of non-characteristic harmonics from HVDC links and the flow of HVDC harmonics in a real system.

Xu, W.; Drakos, J.E.; Mansour, Y.; Chang, A. (B.C. Hydro, Burnaby, British Columbia (Canada))

1994-07-01T23:59:59.000Z

285

CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS  

SciTech Connect

Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.

Donald D. Dudenhoeffer; May R. Permann; Milos Manic

2006-12-01T23:59:59.000Z

286

Analysis of Automated Model against DDoS Attacks  

E-Print Network (OSTI)

Today Distributed Denial of Service (DDoS) attacks are causing major threat to perform online business over the Internet. Recently several schemes have been proposed on how to prevent some of these attacks, but they suffer from a range of problems, some of them being impractical and others not being effective against these attacks. Our previous work proposed an automated model that deals with the overall DDoS problem. With a new packet marking technique and agent design, our approach has many advanced features to minimize the DDoS attacks within a single ISP domain. In this paper we discuss different types of attacks that are possible on our model and propose techniques to counteract the identified attacks. We will also discuss security protocols for communication between different entities in our model.

Udaya Kiran Tupakula

2003-01-01T23:59:59.000Z

287

Solar Resource Characterization; Session: Modeling and Analysis (Presentation)  

DOE Green Energy (OSTI)

This project supports the Solar America Initiative by: (1) meeting increasing demands for expertise in and products on solar radiation data and models--production and distribution of reliable, accurate domestic and international solar resource data, benchmarking and cross-comparison of solar irradiance models; and coordination with the international community (IEA/SHC Task 36, WMO); (2) reducing data uncertainties and increasing temporal and spatial data resolutions; (3) developing and testing short term solar resource forecasts; (4) evaluating methods for producing long term data sets from short term observations; and (5) conducting measurement activities at selected sites.

Renne, D.

2008-04-01T23:59:59.000Z

288

Strength analysis of 3D landing gear model with failure  

Science Conference Proceedings (OSTI)

Dynamic analyses of the landing gear are conducted to provide capabilities to forecast their behavior under hazardous conditions. This kind of investigation with numerical methods implementation is much easier and less expensive than stand tests. The ... Keywords: FE modelling, drop test simulation, landing gear, possible flaw

Wieslaw Krason; Jerzy Malachowski

2008-09-01T23:59:59.000Z

289

A lattice model of fashion propagation with correlation analysis  

Science Conference Proceedings (OSTI)

Spatial and temporal changes in fashion are very complicated in an information-oriented society. In this article, we introduce a lattice model of fashion which is composed of two competing trends. Simulation is carried out by two methods: local and global ... Keywords: Monte Carlo simulation, correlation function, fashion propagation, mean-field theory

Takahisa Kawai; Yousuke Tadokoro; Kei-ichi Tainaka; Taro Hayashi; Jin Yoshimura

2008-10-01T23:59:59.000Z

290

Semantic modelling of dependency relations between life cycle analysis processes  

Science Conference Proceedings (OSTI)

Life Cycle Assessment provides a well-accepted methodology for modelling environmental impacts of human activities. This methodology relies on the decomposition of a studied system into interdependent processes. Several organisations provide processes ... Keywords: environmental information management, life cycle assessment, ontology

Benjamin Bertin; Marian Scuturici; Jean-Marie Pinon; Emmanuel Risler

2012-09-01T23:59:59.000Z

291

Performance analysis of maintaining mobile-based social network models  

Science Conference Proceedings (OSTI)

Although social networks are becoming more and more important in everyday life, their support is still not satisfactory in mobile devices. The automatic synchronization of the phone books in mobile phones with the data of the members of the social networks ... Keywords: complexity estimation, graph transformation, mobile phones, modeling, phonebook, social networks

Péter Ekler; Márk Asztalos

2010-12-01T23:59:59.000Z

292

Shape-based retrieval and analysis of 3D models  

Science Conference Proceedings (OSTI)

Large repositories of 3D data are rapidly becoming available in several fields, including mechanical CAD, molecular biology, and computer graphics. As the number of 3D models grows, there is an increasing need for computer algorithms to help people find ...

Thomas Funkhouser; Michael Kazhdan

2004-08-01T23:59:59.000Z

293

High Resolution PV Power Modeling for Distribution Circuit Analysis  

DOE Green Energy (OSTI)

NREL has contracted with Clean Power Research to provide 1-minute simulation datasets of PV systems located at three high penetration distribution feeders in the service territory of Southern California Edison (SCE): Porterville, Palmdale, and Fontana, California. The resulting PV simulations will be used to separately model the electrical circuits to determine the impacts of PV on circuit operations.

Norris, B. L.; Dise, J. H.

2013-09-01T23:59:59.000Z

294

Analysis of sintering process by the mathematical model  

Science Conference Proceedings (OSTI)

A mathematical model of sintering process has been developed, in which considerations have been given to the combustion of coke, drying process of solid, the composition of lime stone and the melting and solidifying process of iron ore. Variations of ... Keywords: Numerical integration, Packed-bed simulation, Partial defferential equation

Juzo Shibata

1988-12-01T23:59:59.000Z

295

Nuisance Source Population Modeling for Radiation Detection System Analysis  

SciTech Connect

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.

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

2009-10-05T23:59:59.000Z

296

Comparative Modeling Analysis of Plug-in Electric Vehicle Architectures  

Science Conference Proceedings (OSTI)

This report describes the assumptions and results for advanced vehicle simulation analysis. A midsize sedan was used to investigate the conventional, pre-transmission parallel, input power-split, series, and full electric architectures. Variations of these architectures were also investigated such as charge-sustaining hybrid electric vehicles, charge-depleting plug-in hybrid electric vehicles, and extended-range electric-vehicles (EREVs). The differences in these vehicle architectures and variations are ...

2010-12-21T23:59:59.000Z

297

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

DOE Green Energy (OSTI)

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

Not Available

2011-10-01T23:59:59.000Z

298

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE...  

NLE Websites -- All DOE Office Websites (Extended Search)

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS Xin Zhou 1 , Da Yan 1, , Xiaoxin Ren 1 , Tianzhen Hong 2 1 Department of Building Science, School of...

299

The Interaction of Katabatic Flow and Mountain Waves. Part II: Case Study Analysis and Conceptual Model  

Science Conference Proceedings (OSTI)

Via numerical analysis of detailed simulations of an early September 1993 case night, the authors develop a conceptual model of the interaction of katabatic flow in the nocturnal boundary layer with mountain waves (MKI). A companion paper (Part I)...

Gregory S. Poulos; James E. Bossert; Thomas B. McKee; Roger A. Pielke Sr.

2007-06-01T23:59:59.000Z

300

A Model Analysis of the Behavior of the Mediterranean Water in the North Atlantic  

Science Conference Proceedings (OSTI)

The behavior of the Mediterranean Water in the North Atlantic Ocean sector of a global ocean general circulation model is explored, starting from its entry point at the Strait of Gibraltar. The analysis focuses primarily on one experiment in ...

Yanli Jia; Andrew C. Coward; Beverly A. de Cuevas; David J. Webb; Sybren S. Drijfhout

2007-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Toward an Objective Analysis of Rainfall Rate Combining Observations and Short-Term Forecast Model Estimates  

Science Conference Proceedings (OSTI)

This study explores the feasibility of performing an objective analysis of instantaneous rain rate combining satellite estimates (and eventually other types of observations) with those from a numerical prediction model using the method of ...

Louis Garand; Christopher Grassotti

1995-09-01T23:59:59.000Z

302

A discrete, stochastic simulation model for the analysis and design of solar energy heating systems  

Science Conference Proceedings (OSTI)

This paper presents a stochastic simulation approach to the generalized solar energy space heating performance analysis and design problem. Specifically, Markov chain models are developed to represent ambient temperature, insolation, hot water load and ...

Gerard F. Lameiro; Robert A. Rademacher

1978-03-01T23:59:59.000Z

303

Variational bayesian inference for point process generalized linear models in neural spike trains analysis  

E-Print Network (OSTI)

Point process generalized linear models (GLMs) have been widely used for neural spike trains analysis. Statistical inference for GLMs include maximum likelihood and Bayesian estimation. Variational Bayesian (VB) methods ...

Chen, Zhe

304

Model Development and Analysis of the Fate and Transport of Water in a Salt  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Development and Analysis of the Fate and Transport of Water Development and Analysis of the Fate and Transport of Water in a Salt Based Repository Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository The study summarizes the initial work on numerical modeling, simulations, and experimental results related to nuclear waste storage in a salt repository. The study reflects the project's preliminary effort at simulating the fluid flow and heat transport processes, before treating the fully coupled thermal-mechanical-hydrologic-chemical (TMHC) coupled processes in the future. Model Development and Analysis of the Fate and Transport of Water in a Salt Based Repository More Documents & Publications Coupled Model for Heat and Water Transport in a High Level Waste Repository in Salt

305

Modeling and sensitivity analysis of aircraft geometry for multidisciplinary optimization problems  

E-Print Network (OSTI)

A new geometry management paradigm for aircraft design utilizes Computer Aided Design (CAD) systems as the source for consistent geometry models across design phases and analysis tools. Yet various challenges inhibit the ...

Lazzara, David S. (David Sergio), 1980-

2012-01-01T23:59:59.000Z

306

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

E-Print Network (OSTI)

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 ...

Awadalla, Sirein Salah

2011-01-01T23:59:59.000Z

307

Regression Models for Demand Reduction based on Cluster Analysis of Load  

NLE Websites -- All DOE Office Websites (Extended Search)

Regression Models for Demand Reduction based on Cluster Analysis of Load Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles Speaker(s): Nobuyuki Yamaguchi Date: March 26, 2009 - 12:00pm Location: 90-3122 This seminar provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. We examined the performance of the proposed models with respect to the validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial

308

New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants January 31, 2012 - 2:09pm Addthis The Electric Power Research Institute (EPRI), the U.S. Department of Energy (DOE), and the U.S. Nuclear Regulatory Commission (NRC) released a new seismic study today that will help U.S. nuclear facilities in the central and eastern United States reassess seismic hazards. The Central and Eastern United States Seismic Source Characterization for Nuclear Facilities model and report is the culmination of a four-year effort among the participating organizations and replaces previous seismic source models used by industry and government since the late 1980s. The NRC is requesting U.S. nuclear power plants to reevaluate seismic

309

New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants January 31, 2012 - 2:09pm Addthis The Electric Power Research Institute (EPRI), the U.S. Department of Energy (DOE), and the U.S. Nuclear Regulatory Commission (NRC) released a new seismic study today that will help U.S. nuclear facilities in the central and eastern United States reassess seismic hazards. The Central and Eastern United States Seismic Source Characterization for Nuclear Facilities model and report is the culmination of a four-year effort among the participating organizations and replaces previous seismic source models used by industry and government since the late 1980s. The NRC is requesting U.S. nuclear power plants to reevaluate seismic

310

Three-neutrino model analysis of the world's oscillation data  

E-Print Network (OSTI)

A model of neutrino oscillation experiments is constructed. The experiments incorporated are: solar neutrinos (Chlorine, Gallium, Super-K, and SNO), reactor neutrinos (Bugey and CHOOZ), beam stop neutrinos (LSND decay at rest and decay in flight), and atmospheric neutrinos. Utilizing this model and the standard three-neutrino mixing extension of the standard model, the data are analyzed. Solutions for the mixing angles and mass-squared differences are found to occur in pairs corresponding to the interchange $\\Delta m^2_{12} \\leftrightarrow \\Delta m^2_{23}$. Two pairs of solutions are found that reasonably reproduce the data, including the LSND data. These solutions are $\\theta_{12}\\approx 0.5$, $\\theta_{13}\\approx 0.1$, $\\theta_{23}\\approx 0.7$, $\\Delta m^2_{12} \\approx 5\\times 10^{-5}$ eV$^2$ and $\\Delta m^2_{23} \\approx 0.2$ eV$^2$ or 2.4 eV$^2$. Other statistically significant solutions are also found which produce negligible oscillations for the LSND experiments.

Latimer, D C

2003-01-01T23:59:59.000Z

311

A thermal analysis model for high power density beam stops  

SciTech Connect

The Lawrence Berkeley National Laboratory (LBNL) is presently designing and building the 2.5 MeV injector for the Spallation Neutron Source (SNS). The design includes various beam intercepting devices such as beam stops and slits. The target power densities can be as high as 500 kW/cm{sup 2} with a beam stopping range of 25 to 30 microns, producing stresses well above yield in most materials. In order to analyze the induced temperatures and stresses, a finite element model has been developed. The model has been written parametrically to allow the beam characteristics, target material, dimensions, angle of incidence and mesh densities to be easily adjusted. The heat load is applied to the model through the use of a 3-dimensional table containing the calculated volumetric heat rates. The load is based on a bi-gaussian beam shape which is absorbed by the target according to a Bragg peak distribution. The results of several analyses using the SNS Front End beam are presented.

Virostek, S.; Oshatz, D.; Staples, J.

2001-06-08T23:59:59.000Z

312

Modeling and Analysis of Solar Radiation Potentials on Building Rooftops  

Science Conference Proceedings (OSTI)

The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL

2012-01-01T23:59:59.000Z

313

Three-neutrino model analysis of the world's oscillation data  

E-Print Network (OSTI)

A model of neutrino oscillation experiments is constructed. The experiments incorporated are: solar neutrinos (Chlorine, Gallium, Super-K, and SNO), reactor neutrinos (Bugey and CHOOZ), beam stop neutrinos (LSND decay at rest and decay in flight), and atmospheric neutrinos. Utilizing this model and the standard three-neutrino mixing extension of the standard model, the data are analyzed. Solutions for the mixing angles and mass-squared differences are found to occur in pairs corresponding to the interchange $\\Delta m^2_{12} \\leftrightarrow \\Delta m^2_{23}$. Two pairs of solutions are found that reasonably reproduce the data, including the LSND data. These solutions are $\\theta_{12}\\approx 0.5$, $\\theta_{13}\\approx 0.1$, $\\theta_{23}\\approx 0.7$, $\\Delta m^2_{12} \\approx 5\\times 10^{-5}$ eV$^2$ and $\\Delta m^2_{23} \\approx 0.2$ eV$^2$ or 2.4 eV$^2$. Other statistically significant solutions are also found which produce negligible oscillations for the LSND experiments.

D. C. Latimer; D. J. Ernst

2003-10-30T23:59:59.000Z

314

Computable General Equilibrium Models for the Analysis of Energy and Climate Policies  

E-Print Network (OSTI)

Computable General Equilibrium Models for the Analysis of Energy and Climate Policies Ian Sue Wing of the economy-wide impacts of energy and climate policies. JEL Classification: C68, D58, H22, Q43 Keywords of energy and environmental policies. Perhaps the most important of these applications is the analysis

Wing, Ian Sue

315

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes$  

E-Print Network (OSTI)

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes in simulation. Keywords: Anaerobic digestion, biotechnology, steady state analysis, $ This work was supported the phenomenologic behavior of anaerobic digestion systems following the idea that all the available information

Paris-Sud XI, Université de

316

Modeling the overshooting effect for CMOS inverter delay analysis in nanometer technologies  

Science Conference Proceedings (OSTI)

With the scaling of complementary metal-oxide-semiconductor (CMOS) technology into the nanometer regime, the overshooting effect due to the input-to-output coupling capacitance has more significant influence on CMOS gate analysis, especially on CMOS ... Keywords: CMOS inverter, gate delay, nanometer technology, overshooting time, switch-resistor model, timing analysis

Zhangcai Huang; Atsushi Kurokawa; Masanori Hashimoto; Takashi Sato; Minglu Jiang; Yasuaki Inoue

2010-02-01T23:59:59.000Z

317

Using sensitivity analysis and visualization techniques to open black box data mining models  

Science Conference Proceedings (OSTI)

In this paper, we propose a new visualization approach based on a Sensitivity Analysis (SA) to extract human understandable knowledge from supervised learning black box data mining models, such as Neural Networks (NNs), Support Vector Machines (SVMs) ... Keywords: Classification, Input importance, Regression, Sensitivity analysis, Supervised data mining, Visualization

Paulo Cortez; Mark J. Embrechts

2013-03-01T23:59:59.000Z

318

Automated forensic fingerprint analysis: a novel generic process model and container format  

Science Conference Proceedings (OSTI)

The automated forensic analysis of latent fingerprints poses a new challenge. While for the pattern recognition aspects involved, the required processing steps can be related to fingerprint biometrics, the common biometric model needs to be extended ... Keywords: automated dactyloscopy, automated forensic analysis, forensic container format, multibranched biometric process

Tobias Kiertscher; Claus Vielhauer; Marcus Leich

2011-03-01T23:59:59.000Z

319

SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology, and Policy  

Science Conference Proceedings (OSTI)

We address the problem of modeling energy resource allocation, including dispatch, storage, and the long-term investments in new technologies, capturing different sources of uncertainty such as energy from wind, demands, prices, and rainfall. We also ... Keywords: analysis of algorithms, artificial intelligence, queues, simulation, statistical analysis

Warren B. Powell; Abraham George; Hugo Simão; Warren Scott; Alan Lamont; Jeffrey Stewart

2012-10-01T23:59:59.000Z

320

Assessment of seismic resistance of a basilica-type church under earthquake loading: Modelling and analysis  

Science Conference Proceedings (OSTI)

In this paper a finite element methodology for the static and dynamic non-linear analysis of historical masonry structures is described and applied to a case study. A basilica-type masonry church is analysed in order to assess its structural behaviour ... Keywords: Earthquake loading, FE modeling seismic vulnerability, Historical masonry building, Non-linear analysis, Strengthening techniques

Michele Betti; Andrea Vignoli

2008-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Form design of product image using grey relational analysis and neural network models  

Science Conference Proceedings (OSTI)

This paper presents a new approach to determining the best design combination of product form elements for matching a given product image represented by a word pair. A grey relational analysis (GRA) model is used to examine the relationship between product ... Keywords: Kansei Engineering, grey prediction, grey relational analysis, neural networks, product form, product image

Hsin-Hsi Lai; Yang-Cheng Lin; Chung-Hsing Yeh

2005-10-01T23:59:59.000Z

322

A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran  

Science Conference Proceedings (OSTI)

One of the primary concerns in measuring the relative efficiency of a telecommunication unit compared with other similar units is the uncertainty on input/output data. In this paper, a bootstrapped robust data envelopment analysis (BRDEA) model is proposed ... Keywords: Bootstrap, Data envelopment analysis, Robust optimization

S. J. Sadjadi; H. Omrani

2010-05-01T23:59:59.000Z

323

Analysis of enzymopathies in the human red blood cells by constraint-based stoichiometric modeling approaches  

Science Conference Proceedings (OSTI)

The human red blood cell (RBC) metabolism is investigated by calculating steady state fluxes using constraint-based stoichiometric modeling approaches. For the normal RBC metabolism, flux balance analysis (FBA) is performed via optimization of various ... Keywords: Enzymopathy, Flux balance analysis, Minimization of metabolic adjustment, Red blood cell, Regulatory on-off minimization

Saliha Durmu? Tekir; Tunahan Çak?r; Kutlu Ö. ílgen

2006-10-01T23:59:59.000Z

324

AIR INGRESS ANALYSIS: PART 2 – COMPUTATIONAL FLUID DYNAMIC MODELS  

Science Conference Proceedings (OSTI)

The Idaho National Laboratory (INL), under the auspices of the U.S. Department of Energy, is performing research and development that focuses on key phenomena important during potential scenarios that may occur in very high temperature reactors (VHTRs). Phenomena Identification and Ranking Studies to date have ranked an air ingress event, following on the heels of a VHTR depressurization, as important with regard to core safety. Consequently, the development of advanced air ingress-related models and verification and validation data are a very high priority. Following a loss of coolant and system depressurization incident, air will enter the core of the High Temperature Gas Cooled Reactor through the break, possibly causing oxidation of the in-the core and reflector graphite structure. Simple core and plant models indicate that, under certain circumstances, the oxidation may proceed at an elevated rate with additional heat generated from the oxidation reaction itself. Under postulated conditions of fluid flow and temperature, excessive degradation of the lower plenum graphite can lead to a loss of structural support. Excessive oxidation of core graphite can also lead to the release of fission products into the confinement, which could be detrimental to a reactor safety. Computational fluid dynamic model developed in this study will improve our understanding of this phenomenon. This paper presents two-dimensional and three-dimensional CFD results for the quantitative assessment of the air ingress phenomena. A portion of results of the density-driven stratified flow in the inlet pipe will be compared with results of the experimental results.

Chang H. Oh; Eung S. Kim; Richard Schultz; Hans Gougar; David Petti; Hyung S. Kang

2011-01-01T23:59:59.000Z

325

Analysis of Acoustic Signatures from Moving Vehicles UsingTime-Varying Autoregressive Models  

Science Conference Proceedings (OSTI)

Time-varying autoregressive (TVAR) modeling approach for the analysis of acoustic signatures from moving vehicles is presented in this paper. Acoustic signatures from moving vehicles are nonstationary, and features extracted under the stationary ... Keywords: acoustic, classification, time-varying autoregressive model, time-varying, vehicle identification

Kie B. Eom

1999-10-01T23:59:59.000Z

326

Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence  

Science Conference Proceedings (OSTI)

The purpose of this study is to design a model to predict financial health of companies. Financial ratios for 180 manufacturing companies quoted in Tehran Stock Exchange for one year (year ended March 21, 2008) have been used. Three models; based on ... Keywords: Artificial neural networks, Discriminant analysis, Financial health prediction, Financial ratios, Genetic algorithm, Iranian company

F. Mokhatab Rafiei; S. M. Manzari; S. Bostanian

2011-08-01T23:59:59.000Z

327

A hybrid Markov chain for the Bayesian analysis of the multinomial probit model  

Science Conference Proceedings (OSTI)

Bayesian inference for the multinomial probit model, using the Gibbs sampler with data augmentation, has been recently considered by some authors. The present paper introduces a modification of the sampling technique, by defining a hybrid Markov ... Keywords: Bayesian analysis, Gibbs sampling, Metropolis algorithm, Multinomial probit model

Agostino Nobile

1998-08-01T23:59:59.000Z

328

Parameter sensitivity analysis of crop growth models based on the extended Fourier Amplitude Sensitivity Test method  

Science Conference Proceedings (OSTI)

Sensitivity analysis (SA) has become a basic tool for the understanding, application and development of models. However, in the past, little attention has been paid to the effects of the parameter sample size and parameter variation range on the parameter ... Keywords: Extended FAST, Multivariable output, Parameter variation range, Sample size, Time-dependent properties, WOFOST crop growth models

Jing Wang, Xin Li, Ling Lu, Feng Fang

2013-10-01T23:59:59.000Z

329

On the formalization and analysis of a spatio-temporal role-based access control model  

Science Conference Proceedings (OSTI)

With the growing use of wireless networks and mobile devices, we are moving towards an era of pervasive computing. Such environments will spawn new applications that use contextual information to provide enhanced services. Traditional access control ... Keywords: Access control model, model analysis and verification, requirements specification, security

Manachai Toahchoodee; Indrakshi Ray

2011-08-01T23:59:59.000Z

330

EUVL reticle factory model and reticle cost analysis  

SciTech Connect

The key issues in reticle manufacturing are cost and delivery time, both of which are dependent upon the yield of the process line. To estimate the cost and delivery time for EUVL reticles in commercial manufacturing, we have developed the first model for an EUV reticle factory which includes all the tools required for a presumed EUVL reticle fabrication process. This model includes the building, support tools and sufficient ``in-line`` process tools for the manufacture of (more than) 2500 reticles per year. Industry specifications for the tool performance are used to determine the number of tools required per process step and the average number of reticles fabricated per year. Building and capital equipment depreciation costs, tool installation costs, tool maintenance costs, labor, clean room costs, process times and process yields are estimated and used to calculate the yearly operating cost of the reticle factory and the average reticle fabrication cost. We estimate the sales price of an EUV reticle to be $60K for non-critical levels and $120K for ``leading-edge.`` The average reticle fabrication time is calculated for three different process-line yields.

Hawryluk, A.M. [Lawrence Livermore National Lab., CA (United States); Shelden, G. [SEMATECH, Austin, TX (United States); Troccolo, P. [Intel Corp., Santa Clara, CA (United States)

1996-05-22T23:59:59.000Z

331

NGNP Data Management and Analysis System Modeling Capabilities  

SciTech Connect

Projects for the very-high-temperature reactor (VHTR) program provide data in support of Nuclear Regulatory Commission licensing of the VHTR. Fuel and materials to be used in the reactor are tested and characterized to quantify performance in high temperature and high fluence environments. In addition, thermal-hydraulic experiments are conducted to validate codes used to assess reactor safety. The VHTR Program has established the NGNP Data Management and Analysis System (NDMAS) to ensure that VHTR data are (1) qualified for use, (2) stored in a readily accessible electronic form, and (3) analyzed to extract useful results. This document focuses on the third NDMAS objective. It describes capabilities for displaying the data in meaningful ways and identifying relationships among the measured quantities that contribute to their understanding.

Cynthia D. Gentillon

2009-09-01T23:59:59.000Z

332

Statefinder diagnostic and $w-w^{\\prime}$ analysis for interacting polytropic gas dark energy model  

E-Print Network (OSTI)

The interacting polytropic gas dark energy model is investigated from the viewpoint of statefinder diagnostic tool and $w-w^{\\prime}$ analysis. The dependency of the statefinder parameters on the parameter of the model as well as the interaction parameter between dark matter and dark energy is calculated. We show that different values of the parameters of model and different values of interaction parameter result different evolutionary trajectories in $s-r$ and $w-w^{\\prime}$ planes. The polytropic gas model of dark energy mimics the standard $\\Lambda$CDM model at the early time.

M. Malekjani; A. Khodam-Mohammadi

2012-01-03T23:59:59.000Z

333

"Market Systems" Models and Energy Policy Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

"Market Systems" Models and Energy Policy Analysis "Market Systems" Models and Energy Policy Analysis Speaker(s): William Morrow Date: October 17, 2012 - 12:00pm Location: 90-1099 Seminar Host/Point of Contact: Katie Coughlin Many aspects of energy policy in the US intend to influence both "demand-side" (consumer) and "supply-side" (producer) behavior. Analysis for such policies, however, rarely takes into account important complexities related to consumer behavior, firm behavior, competition, and uncertainty that can ultimately limit policy effectiveness. This talk will review the gap between policy analysis and what we know about market behavior. Two elements will serve as an element of focus for detailed discussion: First, game-theoretic "Market Systems" models of product design

334

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Title Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Publication Type Conference Paper Year of Publication 2013 Authors Zhou, Xin, Da Yan, Xiaoxin Ren, and Tianzhen Hong Keywords building simulation, energy use, lighting, modeling, occupant beh building, occupant beh building simulation, occupant behbuilding simulation Abstract Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour variations of lighting energy use were mainly driven by the schedule of the building occupants. Outdoor illumination levels have little impact on lighting energy use in large office buildings due to the lack of automatic daylighting controls and relatively small perimeter areas. A stochastic lighting energy use model was developed based on different occupant activities during six time periods throughout a day, and the annual distribution of lighting power across those periods. The model was verified using measured lighting energy use of one selected building. This study demonstrates how statistical analysis and stochastic modeling can be applied to lighting energy use. The developed lighting model can be adopted by building energy modeling programs to improve the simulation accuracy of lighting energy use.

335

Characteristics of identifying linear dynamic models from impulse response data using Prony analysis  

SciTech Connect

The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

336

Characteristics of identifying linear dynamic models from impulse response data using Prony analysis  

SciTech Connect

The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.

Trudnowski, D.J.

1992-12-01T23:59:59.000Z

337

Solar Radiometry and Metrology, Session: Modeling and Analysis (Presentation)  

DOE Green Energy (OSTI)

This project supports the Solar America Initiative by: (1) Providing solar radiometric measurements, data, and related technical information support to NREL Measurements and Characterization Task; NREL Reliability and Durability Task; Systems and component testing and evaluation for the SAI TPPs; Requests from industry; (2) Producing credible radiometric measurements traceable to recognized standards for performance and Industry applications in accordance with IS0-17025 accreditation scope; (3) Contributing to consensus codes and standards for performance and measurement techniques for NREL R&D, SAI TPPs, and industry applications; (4) Maintain stability of the NREL solar radiation reference (absolute cavity radiometers); (5) Execute high quality detailed radiometric calibrations for broadband and spectral radiometers to meet NREL research and PV industry needs; (6) Participate in national and international consensus standards development, contributing technical expertise, data, and analysis where appropriate; (7) Provide technical information on solar radiation resource data and applications to meet research and industry needs; and (8) Transfer technology in this area to other researchers and industry via publications and conference papers and presentations.

Myers, D. R.

2008-04-01T23:59:59.000Z

338

A Comparative Analysis of Community Wind Power DevelopmentModels  

DOE Green Energy (OSTI)

For years, farmers in the United States have looked with envy on their European counterparts ability to profitably farm the wind through ownership of distributed, utility-scale wind projects. Only within the past few years, however, has farmer- or community-owned windpower development become a reality in the United States. The primary hurdle to this type of development in the United States has been devising and implementing suitable business and legal structures that enable such projects to take advantage of tax-based federal incentives for windpower. This article discusses the limitations of such incentives in supporting farmer- or community-owned wind projects, describes four ownership structures that potentially overcome such limitations, and finally conducts comparative financial analysis on those four structures, using as an example a hypothetical 1.5 MW farmer-owned project located in the state of Oregon. We find that material differences in the competitiveness of each structure do exist, but that choosing the best structure for a given project will largely depend on the conditions at hand; e.g., the ability of the farmer(s) to utilize tax credits, preference for individual versus cooperative ownership, and the state and utility service territory in which the project will be located.

Bolinger, Mark; Wiser, Ryan; Wind, Tom; Juhl, Dan; Grace, Robert; West, Peter

2005-05-20T23:59:59.000Z

339

Analysis of deformable image registration accuracy using computational modeling  

SciTech Connect

Computer aided modeling of anatomic deformation, allowing various techniques and protocols in radiation therapy to be systematically verified and studied, has become increasingly attractive. In this study the potential issues in deformable image registration (DIR) were analyzed based on two numerical phantoms: One, a synthesized, low intensity gradient prostate image, and the other a lung patient's CT image data set. Each phantom was modeled with region-specific material parameters with its deformation solved using a finite element method. The resultant displacements were used to construct a benchmark to quantify the displacement errors of the Demons and B-Spline-based registrations. The results show that the accuracy of these registration algorithms depends on the chosen parameters, the selection of which is closely associated with the intensity gradients of the underlying images. For the Demons algorithm, both single resolution (SR) and multiresolution (MR) registrations required approximately 300 iterations to reach an accuracy of 1.4 mm mean error in the lung patient's CT image (and 0.7 mm mean error averaged in the lung only). For the low gradient prostate phantom, these algorithms (both SR and MR) required at least 1600 iterations to reduce their mean errors to 2 mm. For the B-Spline algorithms, best performance (mean errors of 1.9 mm for SR and 1.6 mm for MR, respectively) on the low gradient prostate was achieved using five grid nodes in each direction. Adding more grid nodes resulted in larger errors. For the lung patient's CT data set, the B-Spline registrations required ten grid nodes in each direction for highest accuracy (1.4 mm for SR and 1.5 mm for MR). The numbers of iterations or grid nodes required for optimal registrations depended on the intensity gradients of the underlying images. In summary, the performance of the Demons and B-Spline registrations have been quantitatively evaluated using numerical phantoms. The results show that parameter selection for optimal accuracy is closely related to the intensity gradients of the underlying images. Also, the result that the DIR algorithms produce much lower errors in heterogeneous lung regions relative to homogeneous (low intensity gradient) regions, suggests that feature-based evaluation of deformable image registration accuracy must be viewed cautiously.

Zhong Hualiang; Kim, Jinkoo; Chetty, Indrin J. [Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan 48202 (United States)

2010-03-15T23:59:59.000Z

340

THERMAL MODELING ANALYSIS OF SRS 70 TON CASK  

SciTech Connect

The primary objective of this work was to perform the thermal calculations to evaluate the Material Test Reactor (MTR) fuel assembly temperatures inside the SRS 70-Ton Cask loaded with various bundle powers. MTR fuel consists of HFBR, MURR, MIT, and NIST. The MURR fuel was used to develop a bounding case since it is the fuel with the highest heat load. The results will be provided for technical input for the SRS 70 Ton Cask Onsite Safety Assessment. The calculation results show that for the SRS 70 ton dry cask with 2750 watts total heat source with a maximum bundle heat of 670 watts and 9 bundles of MURR bounding fuel, the highest fuel assembly temperatures are below about 263 C. Maximum top surface temperature of the plastic cover is about 112 C, much lower than its melting temperature 260 C. For 12 bundles of MURR bounding fuel with 2750 watts total heat and a maximum fuel bundle of 482 watts, the highest fuel assembly temperatures are bounded by the 9 bundle case. The component temperatures of the cask were calculated by a three-dimensional computational fluid dynamics approach. The modeling calculations were performed by considering daily-averaged solar heat flux.

Lee, S.; Jordan, J.; Hensel, S.

2011-03-08T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

TURBULENT CONVECTION MODEL IN THE OVERSHOOTING REGION. II. THEORETICAL ANALYSIS  

SciTech Connect

Turbulent convection models (TCMs) are thought to be good tools to deal with the convective overshooting in the stellar interior. However, they are too complex to be applied to calculations of stellar structure and evolution. In order to understand the physical processes of the convective overshooting and to simplify the application of TCMs, a semi-analytic solution is necessary. We obtain the approximate solution and asymptotic solution of the TCM in the overshooting region, and find some important properties of the convective overshooting. (1) The overshooting region can be partitioned into three parts: a thin region just outside the convective boundary with high efficiency of turbulent heat transfer, a power-law dissipation region of turbulent kinetic energy in the middle, and a thermal dissipation area with rapidly decreasing turbulent kinetic energy. The decaying indices of the turbulent correlations k, u{sub r}'T'-bar, and T'T'-bar are only determined by the parameters of the TCM, and there is an equilibrium value of the anisotropic degree {omega}. (2) The overshooting length of the turbulent heat flux u{sub r}'T'-bar is about 1H{sub k} (H{sub k} = |dr/dln k|). (3) The value of the turbulent kinetic energy at the convective boundary k{sub C} can be estimated by a method called the maximum of diffusion. Turbulent correlations in the overshooting region can be estimated by using k{sub C} and exponentially decreasing functions with the decaying indices.

Zhang, Q. S.; Li, Y., E-mail: zqs@ynao.ac.cn, E-mail: ly@ynao.ac.cn [National Astronomical Observatories/Yunnan Observatory, Chinese Academy of Sciences, P.O. Box 110, Kunming 650011 (China)

2012-05-01T23:59:59.000Z

342

Electric utility capacity expansion and energy production models for energy policy analysis  

DOE Green Energy (OSTI)

This report describes electric utility capacity expansion and energy production models developed for energy policy analysis. The models use the same principles (life cycle cost minimization, least operating cost dispatching, and incorporation of outages and reserve margin) as comprehensive utility capacity planning tools, but are faster and simpler. The models were not designed for detailed utility capacity planning, but they can be used to accurately project trends on a regional level. Because they use the same principles as comprehensive utility capacity expansion planning tools, the models are more realistic than utility modules used in present policy analysis tools. They can be used to help forecast the effects energy policy options will have on future utility power generation capacity expansion trends and to help formulate a sound national energy strategy. The models make renewable energy source competition realistic by giving proper value to intermittent renewable and energy storage technologies, and by competing renewables against each other as well as against conventional technologies.

Aronson, E.; Edenburn, M.

1997-08-01T23:59:59.000Z

343

Oceanic Data Analysis Using a General Circulation Model. Part II: A North Atlantic Model  

Science Conference Proceedings (OSTI)

A general circulation model and North Atlantic climatological data of temperature salinity, wind stress, evaporation minus precipitation, and air–sea heat fluxes are used to examine the possibility of solving inverse problems using a full-scale ...

Eli Tziperman; William Carlisle Thacker; Robert Bryan Long; Show-Ming Hwang; Stephen R. Rintoul

1992-12-01T23:59:59.000Z

344

Evaluation of tools for renewable energy policy analysis: The ten federal region model  

Science Conference Proceedings (OSTI)

The Energy Policy Act of 1992 establishes a program to support development of renewable energy technologies including a production incentive to public power utilities. Because there is a wide range of possible policy actions that could be taken to increase electric market share for renewables, modeling tools are needed to help make informed decisions regarding future policy. Previous energy modeling tools did not contain the region or infrastructure focus necessary to examine renewable technologies. As a result, the Department of Energy Office of Utility Technologies (OUT) supported the development of tools for renewable energy policy analysis. Three models were developed: The Renewable Energy Penetration (REP) model, which is a spreadsheet model for determining first-order estimates of policy effects for each of the ten federal regions; the Ten Federal Region Model (TFRM), which employs utility capacity expansion and dispatching decision; and the Region Electric Policy Analysis Model (REPAM), which was constructed to allow detailed insight into interactions between policy and technology within an individual region. These Models were developed to provide a suite of fast, personal-computer based policy analysis tools; as one moves from the REP model to the TFRM to the REPAM the level of detail (and complexity) increases. In 1993 a panel was formed to identify model strengths, weaknesses (including any potential biases) and to suggest potential improvements. The panel met in January 1994 to discuss model simulations and to deliberate regarding evaluation outcomes. This report is largely a result of this meeting. This report is organized as follows. It provides a description of the TFRM and summarizes the panel`s findings. Individual chapters examine various aspects of the model: demand and load, capacity expansion, dispatching and production costing, reliability, renewables, storage, financial and regulatory concerns, and environmental effects.

Engle, J.

1994-04-01T23:59:59.000Z

345

Uncertainty Analysis Framework - Hanford Site-Wide Groundwater Flow and Transport Model  

Science Conference Proceedings (OSTI)

Pacific Northwest National Laboratory (PNNL) embarked on a new initiative to strengthen the technical defensibility of the predictions being made with a site-wide groundwater flow and transport model at the U.S. Department of Energy Hanford Site in southeastern Washington State. In FY 2000, the focus of the initiative was on the characterization of major uncertainties in the current conceptual model that would affect model predictions. The long-term goals of the initiative are the development and implementation of an uncertainty estimation methodology in future assessments and analyses using the site-wide model. This report focuses on the development and implementation of an uncertainty analysis framework.

Cole, Charles R.; Bergeron, Marcel P.; Murray, Christopher J.; Thorne, Paul D.; Wurstner, Signe K.; Rogers, Phillip M.

2001-11-09T23:59:59.000Z

346

Modeling, analysis and experiments for fusion nuclear technology: FNT progress report: Modeling and FINESSE  

Science Conference Proceedings (OSTI)

This document is a progress report on two technical studies carried out during 1986, both of which relate to the implementation phase of FNT. The first, which is a follow-up to FINESSE, focuses on specific key questions for: (1) very near-term (0 to 3 years) non-fusion experiments and facilities, and (2) FNT testing in a fusion facility. The second is the initial stage of a detailed effort to develop theory, models and computer codes for predicting the performance of nuclear components. Chapters are presented on (1) introduction and chapter summaries, (2) non-fusion experiments and facilities, (3) fusion testing issues, and (4) theory and modeling. Chapter 2 is an assessment of the relative advantages of many solid breeders, neutron multipliers and configurations. Various issues affecting design and cost of the blanket are examined in Chapter 3. Chapter 4 reports on the progress of the initial stage of an effort to develop theory and analytical and numerical models for nuclear components. A major part of the effort has focused on modeling of MHD effects for liquid metal blankets. Progress has also been made on modeling tritium transport and inventory in solid breeder blankets and the thermomechanical behavior of liquid-metal-cooled limiters. (MOW)

Abdou, M.A.; Tillack, M.S.; Raffray, A.R.; Hadid, A.H.; Bartlit, J.R.; Bell, C.E.C.; Gierszewski, P.J.; Gordon, J.D.; Iizuka, T.; Kim, C.N.

1987-01-01T23:59:59.000Z

347

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS  

NLE Websites -- All DOE Office Websites (Extended Search)

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS Xin Zhou 1 , Da Yan 1, , Xiaoxin Ren 1 , Tianzhen Hong 2 1 Department of Building Science, School of Architecture, Tsinghua University, Beijing, China 2 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA ABSTRACT Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour

348

Cardiac myocyte model parameter sensitivity analysis and model transformation using a genetic algorithm  

Science Conference Proceedings (OSTI)

Cardiac arrhythmia is the disruption of the normal electrical rhythm of the heart and is a leading cause of mortality around the world. To study arrhythmogenesis, mathematical models of cardiac myocytes and tissues have been effectively employed to investigate ... Keywords: cardiac arrhythmia, genetic algorithm, ion channel conductance, repolarization alternans

Armen R. Kherlopian; Francis A. Ortega; David J. Christini

2011-07-01T23:59:59.000Z

349

Engineering Model of Liquid Storage Utility Tank for Heat Transfer Analysis  

SciTech Connect

The utility or chemical storage tank requires special engineering attention and heat transfer analysis because the tank content is very sensitive to temperature and surrounding environment such as atmospheric or outside air, humidity, and solar radiation heat. A simplified heat transfer model was developed to calculate the liquid content temperature of utility storage tank. The content of the utility storage tanks can be water or any other chemical liquid. An engineering model of liquid storage tank for heat transfer analysis and temperature calculations are presented and discussed in the examples of Tanks No. 1 containing oxalic acid and No. 2 containing sodium tetraphenylborate solution.

Kwon, K.C.

1995-09-27T23:59:59.000Z

350

Application of the pseudolinear flow model to the pressure transient analysis of fractured wells  

SciTech Connect

The theoretical basis for the pseudolinear flow model is established. It is demonstrated by using an analytical model that the linear flow graph (p vs ..sqrt..t) can be extended to the analysis of pressure data of fractured wells intersected by an intermediate or a high conductivity fracture ((k /SUB f/ b /SUB f/ greater than or equal to 15). It appears that the fracture conductivity effect during the pseudolinear flow period can be handled as a pseudo skin pressure drop which is additive to the pressure drop caused by fluid loss damage. The combination of the pseudolinear flow analysis with other interpretation techniques is illustrated through examples of field cases.

Cinco-Ley, H.; Rodriguez, F.; Samaniego, F.

1984-09-01T23:59:59.000Z

351

Development of an improved commercial sector energy model for national policy analysis  

SciTech Connect

Pacific Northwest Laboratory provided support to the Office of Conservation and Renewable Energy (CE), under the Office of Planning and Assessment, to develop improved energy and environmental analysis tools. Commercial building sector energy models from the past decade were analyzed in order to provoke comment and stimulate discussion between potential model users and developers as to the appropriate structure and capability of a commercial sector energy model supported by CE. Three specific areas were examined during this review. These areas provide (1) a look at recent suggestions and guidance as to what constitutes a minimal set of requirements and capabilities for a commercial buildings energy model for CE, (2) a review of several existing models in terms of their general structure and how they match up with the requirements listed previously, and (3) an overview of a proposed improved commercial sector energy model.

Belzer, D.B.

1992-12-01T23:59:59.000Z

352

SARA (System ARchitects Apprentice): Modeling, analysis, and simulation support for design of concurrent systems  

Science Conference Proceedings (OSTI)

An environment to support designers in the modeling, analysis and simulation of concurrent systems is described. It is shown how a fully nested structure model supports multilevel design and focuses attention on the interfaces between the modules which serve to encapsulate behavior. Using simple examples the paper indicates how a formal graph model can be used to model behavior in three domains: control flow, data flow, and interpretation. The effectiveness of the explicity environment model in SARA is discussed and the capability to analyze correctness and evaluate performance of a system model are demonstrated. A description of the integral help designed into SARA shows how the designer can be offered consistent use of any new tool introduced to support the design process.

Estrin, G.; Fenchel, R.S.; Razouk, R.R.; Vernon, M.K.

1986-02-01T23:59:59.000Z

353

Evaluation of tools for renewable energy policy analysis: The renewable energy penetration model  

Science Conference Proceedings (OSTI)

The Energy Policy Act of 1992 establishes a program to support development of renewable energy technologies including a production incentive to public power utilities. Because there is a wide range of possible policy actions that could be taken to increase electric market share for renewables, modeling tools are needed to help make informed decisions regarding future policy. Previous energy modeling tools did not contain the regional or infrastructure focus necessary to examine renewable technologies. As a result, the Department of Energy Office of Utility Technologies (OUT) supported the development of tools for renewable energy policy analysis. Three models were developed: The Renewable Energy Penetration (REP) model, which is a spreadsheet model for determining first-order estimates of policy effects for each of the ten federal regions; the Ten Federal Region Model (TFRM), which employs utility capacity expansion and dispatching decisions; and the Regional Electric Policy Analysis Model (REPAM) which was constructed to allow detailed insight into interactions between policy and technology within an individual region. In 1993, the OUT supported the Oak Ridge Institute of Science and Education (ORISE) to form an expert panel to provide an independent review of the REP model and TFRM. This report contains the panel`s evaluation of the REP model; the TFRM is evaluated in a companion report. The panel did not review the REPAM. The panel met for a second time in January 1994 to discuss model simulations and deliberate regarding evaluation outcomes. This report is largely a result of this second meeting. The remainder of this chapter provides a description of the REP model and summarizes the panel`s findings. Individual chapters examine various aspects of the model: demand and load, capacity expansion, dispatching and production costing, reliability, renewables, storage, transmission, financial and regulatory concerns, and environmental effects.

Engle, J.

1994-04-01T23:59:59.000Z

354

Analysis of five forest harvesting simulation models. II. Paths, pitfalls, and other considerations  

SciTech Connect

This is the second of two papers describing the conclusions from a study to determine the state of the art in timber harvesting computer simulation modeling. Five models were evaluated -- Forest Harvesting Simulation Model (FHSM), Full Tree Field Chipping (FTFC), Harvesting System Simulator (HSS), Simulation Applied to Logging Systems (SAPLOS), and Timber Harvesting and Transport Simulator (THATS) -- for their potential use in southern forest harvesting operations. In Part I, modeling characteristics and overall model philosophy were identified and illustrated. This included a detailed discussion of the wood flow process in each model, accounting strategies for productive/nonproductive times, performance variables used, and the different harvesting systems modelable. In Part II user implementation problems are discussed. Those dealt with in detail are the following: What questions can be asked of the model. What are the modeling tradeoffs, and how do they impact on the analysis. What are the computer skills necessary to work effectively with the model. What computer support is needed. Are the models operational. The results provide a good picture of the state of the art in timber harvesting computer simulation. Much learning has occurred in the generation of these models, and many modeling and implementation problems have been uncovered, some of which remain unsolved. Hence, the user needs to examine closely the model and the intended application so that results will represent useable, valid data. It is recommended that the development of timber harvesting computer simulation modeling continue so that existing and proposed timber harvesting strategies can be adequately evaluated. Design criteria are proposed. (Refs. 22).

Goulet, D.V.; Iff, R.H.; Sirois, D.L.

1980-01-01T23:59:59.000Z

355

A Micromechanical Model for Viscoelastic-Viscoplastic Analysis of Particle Reinforced Composite  

E-Print Network (OSTI)

This study introduces a time-dependent micromechanical model for a viscoelastic-viscoplastic analysis of particle-reinforced composite and hybrid composite. The studied particle-reinforced composite consists of solid spherical particle and polymer matrix as constituents. Polymer constituent exhibits time-dependent or inelastic responses, while particle constituent is linear elastic. Schapery's viscoelastic integral model is additively combined with a viscoplastic constitutive model. Two viscoplastic models are considered: Perzyna's model and Valanis's endochronic model. A unit-cell model with four particle and polymer sub-cells is generated to obtain homogenized responses of the particle-reinforced composites. A time-integration algorithm is formulated for solving the time-dependent and inelastic constitutive model for the isotropic polymers and nested to the unit-cell model of the particle composites. Available micromechanical models and experimental data in the literature are used to verify the proposed micromechanical model in predicting effective viscoelasticviscoplastic responses of particle-reinforced composites. Filler particles are added to enhance properties of the matrix in the fiber reinforced polymer (FRP) composites. The combined fiber and particle reinforced matrix forms a hybrid composite. The proposed micromechanical model of particle-reinforced composites is used to provide homogenized properties of the matrix systems, having filler particles, in the hybrid composites. Three-dimensional (3D) finite element (FE) models of composite's microstructures are generated for two hybrid systems having unidirectional long fiber and short fiber embedded in cubic matrix. The micromechanical model is implemented at the material (Gaussian) points of the matrix elements in the 3D FE models. The integrated micromechanical-FE framework is used to examine time-dependent and inelastic behaviors of the hybrid composites.

Kim, Jeong Sik

2009-12-01T23:59:59.000Z

356

Model documentation of the Short-Term Coal Analysis System. Volume 2. Model description. [SCOAL  

Science Conference Proceedings (OSTI)

This is the second of three volumes of documentation for the Short-Term Coal Analysis System (SCOAL) developed by the Coal Data Analysis and Forecasting Branch, Office of Coal, Nuclear, Electric, and Alternate Fuels. The principal aim of SCOAL is to project on a quarterly basis the likely contribution of each of the 26 major bituminous coal, lignite, and anthracite producing states to total US production. A secondary objective is to estimate a companion demand-side aggregated by region but disaggregated by end-use sector. In its current use, the two sides are operated in tandem, and serve to cross-validate each other by means of tracking market balances. The purposes of this report are to describe the estimation method, results, and performance evaluation criteria that were deemed relevant in assessing the potential predictive performance of SCOAL's statistically fitted relationships and to discuss the pre- and post-estimation considerations that prevailed over the course of mode development. The single equation parameter estimates, associated significance levels, statistical equation performance measures, and general comments regarding SCOAL's supply and demand side equations are presented.

Not Available

1983-04-01T23:59:59.000Z

357

The Regional Analysis System for the Operational “Early” Eta Model: Original 80-km Configuration and Recent Changes  

Science Conference Proceedings (OSTI)

The analysis component of the National Centers for Environmental Prediction (NCEP) operational “early” 80-km eta model, as implemented in July 1993, is described. This optimum interpolation (OI) analysis is fully multivariate for wind and ...

Eric Rogers; Dennis G. Deaven; Geoffrey S. Dimego

1995-12-01T23:59:59.000Z

358

Core Analysis For The Development And Constraint Of Physical Models Of  

Open Energy Info (EERE)

For The Development And Constraint Of Physical Models Of For The Development And Constraint Of Physical Models Of Geothermal Reservoirs Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Core Analysis For The Development And Constraint Of Physical Models Of Geothermal Reservoirs Details Activities (2) Areas (2) Regions (0) Abstract: Effective reservoir exploration, characterization, and engineering require a fundamental understanding of the geophysical properties of reservoir rocks and fracture systems. Even in the best of circumstances, spatial variability in porosity, fracture density, salinity, saturation, tectonic stress, fluid pressures, and lithology can all potentially produce and/or contribute to geophysical anomalies. As a result, serious uniqueness problems frequently occur when interpreting

359

Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles  

Science Conference Proceedings (OSTI)

This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

2009-06-28T23:59:59.000Z

360

Directed transport in equilibrium : analysis of the dimer model with inertial terms  

E-Print Network (OSTI)

We have previously shown an analysis of our dimer model in the over-damped regime to show directed transport in equilibrium. Here we analyze the full model with inertial terms present to establish the same result. First we derive the Fokker-Planck equation for the system following a Galilean transformation to show that a uniformly translating equilibrium distribution is possible. Then, we find out the velocity selection for the centre of mass motion using that distribution on our model. We suggest generalization of our calculations for soft collision potentials and indicate to interesting situation with possibility of oscillatory non-equilibrium state within equilibrium.

A. Bhattacharyay

2011-08-15T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

A SIMULATION MODEL FOR THE PERFORMANCE ANALYSIS OF ROOF POND SYSTEMS FOR HEATING AND COOLING  

E-Print Network (OSTI)

Tex. , 3rd Ann. Solar Heating & Cooling R&D Contractors'Proceedings, Passive Solar Heating & Cooling~'-~&-l~orkshop,Solar Jubilee, Phoenix, AZ, June 2-6, 1980 A SIMULATION MODEL FOR THE PERFORMANCE ANALYSIS OF ROOF POND SYSTEMS FOR HEATING

Tavana, Medhi

2011-01-01T23:59:59.000Z

362

A functional analysis of electrical load curve modelling for some households specific electricity end-uses  

E-Print Network (OSTI)

A functional analysis of electrical load curve modelling for some households specific electricity and the way electrical devices are used will evolve significantly. The energy consumption is likely of electrical devices; · integration of decentralized energy production and stocking (PV modules with battery

Paris-Sud XI, Université de

363

Detection of cognitive features from web resources in support of cultural modeling and analysis  

Science Conference Proceedings (OSTI)

The World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to ...

Antonio Penta; Nigel Shadbolt; Paul Smart; Winston R. Sieck

2011-11-01T23:59:59.000Z

364

The Common Information Model (CIM) Standard - An Analysis of Features and  

E-Print Network (OSTI)

Abstract – In this paper an analysis of the Common Information Model (CIM) standard for object-oriented information specification in network and system management is given, including a short discussion of several important potential benefits and open issues, and a presentation of original extensions of the standard- solutions to some open issues.

Vladimir Tosic; Slobodanka Djordjevic-kajan

1999-01-01T23:59:59.000Z

365

Smart Grid Consumer-Provider Relationship Analysis Using System Modeling Approach  

Science Conference Proceedings (OSTI)

One of the main goals in the smart grid development is the continuous evolution of the smart grid as a cyber-physical system to accommodate electricity storage, provide safe power delivery, accommodate the needs of the local communities, facilitate the ... Keywords: smart grid, system modeling and analysis, system-of-systems

Omar Alriyami, Husam Suleiman, Davor Svetinovic, Hatem Zeineldin

2012-11-01T23:59:59.000Z

366

Modeling and Analysis to Estimate the End-System Performance Bottleneck for  

E-Print Network (OSTI)

55 Modeling and Analysis to Estimate the End-System Performance Bottleneck for High-Speed Data@cs.ucdavis.edu Abstract-- The bandwidth available in a high-speed backbone network today is much greater than the capacity at the edge. As an example, when the transmission line rate is 10 Gbps, the end computing machine (end

California at Davis, University of

367

Randomized flow model and centrality measure for electrical power transmission network analysis  

E-Print Network (OSTI)

1 Randomized flow model and centrality measure for electrical power transmission network analysis. Centrality measures can then be coherently defined. An example of application to an electrical power transmission system is presented. Acknowledgements This work has been partially funded by the Foundation pour

368

Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid  

E-Print Network (OSTI)

Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault Wind Turbines with Induction Generator during Grid Fault by Sigrid M. Bolik Institute of Energy turbine technology has undergone rapid developments. Growth in size and the optimization of wind turbines

Hansen, René Rydhof

369

Large-scale battery system modeling and analysis for emerging electric-drive vehicles  

Science Conference Proceedings (OSTI)

Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and greenhouse gas emissions. Existing electric-drive vehicles typi- cally include a battery system consisting of thousands of Lithium-ion battery ... Keywords: analysis, battery system model, electric-drive vehicles

Kun Li; Jie Wu; Yifei Jiang; Zyad Hassan; Qin Lv; Li Shang; Dragan Maksimovic

2010-08-01T23:59:59.000Z

370

Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion  

E-Print Network (OSTI)

Control-relevant Modelling and Linear Analysis of Instabilities in Oxy-fuel Combustion Dagfinn combustion have been proposed as an alternative to conventional gas turbine cycles for achieving CO2-capture for CO2 sequestration purposes. While combustion instabilities is a problem in modern conventional gas

Foss, Bjarne A.

371

Multivariate Analysis of Real Option Value Based on Grey Relational Model  

Science Conference Proceedings (OSTI)

Real option value is determined by a variety of uncertain factors. It is very important to assess the intensity and importance of these factors affecting the real option value for investment decision makers. In this paper, the real option value system ... Keywords: real option value, multivariate analysis, grey relational model, optimization

Zheng-Xin Wang; Ling-ling Pei

2011-10-01T23:59:59.000Z

372

A model to evaluate a soil's bulk solid phase resistance to extraction analysis  

Science Conference Proceedings (OSTI)

Measurements of soil contamination are essential to environmental models that function at many scales. For old contamination soils, contamination measurements can be significant sources of error. Often, soils that have been contaminated for a long time ... Keywords: Diffusive transport, Laboratory soil analysis, Sequestering, Soil contamination, Soil data reliability

Aaron A. Jennings; Jun Ma

2008-05-01T23:59:59.000Z

373

A finite element model for hygro-thermo-mechanical analysis of masonry walls with FRP reinforcement  

Science Conference Proceedings (OSTI)

Modeling the effects of humidity and temperature gradients on the structural behavior of masonry walls reinforced with fiber reinforced polymer (FRP) composite is of great importance. Study of interfacial stresses, in particular, is a key factor in predicting ... Keywords: FRP reinforced masonry, Moisture and temperature, Multi-layered permeable structure, Structural analysis

Mehran Khoshbakht; Mark W. Lin

2010-10-01T23:59:59.000Z

374

An efficient FE model based on combined theory for the analysis of soft core sandwich plate  

Science Conference Proceedings (OSTI)

An efficient C0 continuous finite element (FE) model is developed based on combined theory (refine higher order shear deformation theory (RHSDT) and least square error (LSE) method) for the static analysis of soft core sandwich plate. In this ... Keywords: Composites, Finite element, Laminate, Plates, Sandwich materials

Ravi Prakash Khandelwal; Anupam Chakrabarti; Pradeep Bhargava

2013-05-01T23:59:59.000Z

375

Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling  

Science Conference Proceedings (OSTI)

This article studies the problem of latent community topic analysis in text-associated graphs. With the development of social media, a lot of user-generated content is available with user networks. Along with rich information in networks, user graphs ... Keywords: Topic modeling, community discovery

Zhijun Yin; Liangliang Cao; Quanquan Gu; Jiawei Han

2012-09-01T23:59:59.000Z

376

Modeling shared cache and bus in multi-cores for timing analysis  

Science Conference Proceedings (OSTI)

Timing analysis of concurrent programs running on multi-core platforms is currently an important problem. The key to solving this problem is to accurately model the timing effects of shared resources in multi-cores, namely shared cache and bus. In this ... Keywords: WCET, multi-core, shared bus, shared cache

Sudipta Chattopadhyay; Abhik Roychoudhury; Tulika Mitra

2010-06-01T23:59:59.000Z

377

3D/4D facial expression analysis: An advanced annotated face model approach  

Science Conference Proceedings (OSTI)

Facial expression analysis has interested many researchers in the past decade due to its potential applications in various fields such as human-computer interaction, psychological studies, and facial animation. Three-dimensional facial data has been ... Keywords: 3D face models, 4D face videos, Expression recognition, Mesh registration

Tianhong Fang; Xi Zhao; Omar Ocegueda; Shishir K. Shah; Ioannis A. Kakadiaris

2012-10-01T23:59:59.000Z

378

Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems  

Science Conference Proceedings (OSTI)

In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analysis for nonlinear interconnected systems with multiple time-delays using linear matrix inequality (LMI) theory. In terms of Lyapunov's direct method for ... Keywords: Lyapunov's theory, fuzzy systems, time delay

C. W. Chen; W. L. Chiang; F. H. Hsiao

2004-08-01T23:59:59.000Z

379

Enhancing product performance in machining processes: statistical analysis and development of predictive models  

Science Conference Proceedings (OSTI)

Process parameters, tool geometry and operating conditions considerably influence the quality and the functional performance, including the service-life, of machined components. Surface characteristics of the machined products such as hardness and roughness ... Keywords: lubrication systems, predictive models, statistical analysis, sustainable machining

G. Rotella, S. Rizzuti, D. Umbrello

2013-07-01T23:59:59.000Z

380

Development of refined MCNPX-PARET multi-channel model for transient analysis in research reactors  

SciTech Connect

Reactivity insertion transients are often analyzed (RELAP, PARET) using a two-channel model, representing the hot assembly with specified power distribution and an average assembly representing the remainder of the core. For the analysis of protected by the reactor safety system transients and zero reactivity feedback coefficients this approximation proves to give adequate results. However, a more refined multi-channel model representing the various assemblies, coupled through the reactivity feedback effects to the whole reactor core is needed for the analysis of unprotected transients with excluded over power and period trips. In the present paper a detailed multi-channel PARET model has been developed which describes the reactor core in different clusters representing typical BR2 fuel assemblies. The distribution of power and reactivity feedback in each cluster of the reactor core is obtained from a best-estimate MCNPX calculation using the whole core geometry model of the BR2 reactor. The sensitivity of the reactor response to power, temperature and energy distributions is studied for protected and unprotected reactivity insertion transients, with zero and non-zero reactivity feedback coefficients. The detailed multi-channel model is compared vs. simplified fewer-channel models. The sensitivities of transient characteristics derived from the different models are tested on a few reactivity insertion transients with reactivity feedback from coolant temperature and density change. (authors)

Kalcheva, S.; Koonen, E. [SCK-CEN, BR2 Reactor Dept., Boeretang 200, 2400 Mol (Belgium); Olson, A. P. [RERTR Program, Nuclear Engineering Div., Argonne National Laboratory, Cass Avenue, Argonne, IL 60439 (United States)

2012-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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381

Critical Updates to the Hydrogen Analysis Production Model (H2A v3)  

NLE Websites -- All DOE Office Websites (Extended Search)

Critical Updates to the Hydrogen Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Darlene Steward NREL Thursday, February 9, 2012 3:00 PM - 4:30 PM EST Darlene.steward@nrel.gov (303) 275 3837 NREL/PR-5600-54276 NATIONAL RENEWABLE ENERGY LABORATORY Outline 2 Introduction - Sara Dillich Overview of the H2A Model H2A Version 3 Changes Case Study Walkthrough Resources 1 2 3 4 NATIONAL RENEWABLE ENERGY LABORATORY Outline 3 Introduction - Sara Dillich Overview of the H2A Model H2A Version 3 Changes Case Study Walkthrough Resources 1 2 3 4 NATIONAL RENEWABLE ENERGY LABORATORY Overview of H2A Model 4 H2A Model Structure Getting Around Key Worksheets Do's and Don'ts - Do * Enter values in orange cells * Use the light green cells for notes and side calculations

382

A new balance-of-plant model for the SASSYS-1 LMR systems analysis code  

Science Conference Proceedings (OSTI)

A balance-of-plant model has been added to the SASSYS-1 liquid metal reactor systems analysis code. Until this addition, the only waterside component which SASSYS-1 could explicitly model was the water side of a steam generator, with the remainder of the water side represented by boundary conditions on the steam generator. The balance-of-plant model is based on the model used for the sodium side of the plant. It will handle subcooled liquid water, superheated steam, and saturated two-phase fluid. With the exception of heated flow paths in heaters, the model assumes adiabatic conditions along flow paths; this assumption simplifies the solution procedure while introducing very little error for a wide range of reactor plant problems. Only adiabatic flow is discussed in this report. 3 refs., 4 figs.

Briggs, L.L. (Argonne National Lab., IL (USA))

1989-01-01T23:59:59.000Z

383

Survey review of models for use in market penetration analysis: utility sector focus  

SciTech Connect

The ultimate benefits of federal expenditures in research and development for new technologies are dependent upon the degree of acceptance of these technologies. Market penetration considerations are central to the problem of quantifying the potential benefits. These benefits are inputs to the selection process of projects competing for finite R and D funds. Market penetration is the gradual acceptance of a new commodity or technology. The Office of Coal utilization is concerned with the specialized area of market penetration of new electric power generation technologies for both replacement and new capacity. The common measure of market penetration is the fraction of the market serviced by the challenging technology for each time point considered. The methodologies for estimating market penetration are divided into three generic classes: integrated energy/economy modeling systems, utility capacity expansion models, and technology substitution models. In general, the integrated energy/economy modeling systems have three advantages: they provide internally consistent macro, energy-economy scenarios, they account for the effect of prices on demand by fuel form, and they explicitly capture the effects of population growth and the level and structure of economic activity on energy demand. A variety of deficiencies appear in most energy-economy systems models. All of the methodologies may be applied at some level to questions of market penetration of new technologies in the utility sector; choice of methods for a particular analysis must be conditioned by the scope of the analysis, data availability, and the relative cost of alternative analysis.

Groncki, P.J.; Kydes, A.S.; Lamontagne, J.; Marcuse, W.; Vinjamuri, G.

1980-11-01T23:59:59.000Z

384

TRACE/PARCS Core Modeling of a BWR/5 for Accident Analysis of ATWS Events  

Science Conference Proceedings (OSTI)

The TRACE/PARCS computational package [1, 2] isdesigned to be applicable to the analysis of light water reactor operational transients and accidents where the coupling between the neutron kinetics (PARCS) and the thermal-hydraulics and thermal-mechanics (TRACE) is important. TRACE/PARCS has been assessed for itsapplicability to anticipated transients without scram(ATWS) [3]. The challenge, addressed in this study, is to develop a sufficiently rigorous input model that would be acceptable for use in ATWS analysis. Two types of ATWS events were of interest, a turbine trip and a closure of main steam isolation valves (MSIVs). In the first type, initiated by turbine trip, the concern is that the core will become unstable and large power oscillations will occur. In the second type,initiated by MSIV closure,, the concern is the amount of energy being placed into containment and the resulting emergency depressurization. Two separate TRACE/PARCS models of a BWR/5 were developed to analyze these ATWS events at MELLLA+ (maximum extended load line limit plus)operating conditions. One model [4] was used for analysis of ATWS events leading to instability (ATWS-I);the other [5] for ATWS events leading to emergency depressurization (ATWS-ED). Both models included a large portion of the nuclear steam supply system and controls, and a detailed core model, presented henceforth.

Cuadra A.; Baek J.; Cheng, L.; Aronson, A.; Diamond, D.; Yarsky, P.

2013-11-10T23:59:59.000Z

385

Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Cycle Analysis of Hydrogen-Powered Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Michael Wang Argonne National Laboratory June 10, 2008 Project ID # AN2 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Overview * Project start date: Oct. 2002 * Project end date: Continuous * Percent complete: N/A * Inconsistent data, assumptions, and guidelines * Suite of models and tools * Unplanned studies and analyses * Total project funding from DOE: $2.04 million through FY08 * Funding received in FY07: $450k * Funding for FY08: $840k Budget * H2A team * PSAT team * NREL * Industry stakeholders Partners Timeline Barriers to Address 3 Objectives * Expand and update the GREET model for hydrogen production pathways and for applications of FCVs and other FC systems

386

A flammability and combustion model for integrated accident analysis. [Advanced light water reactors  

DOE Green Energy (OSTI)

A model for flammability characteristics and combustion of hydrogen and carbon monoxide mixtures is presented for application to severe accident analysis of Advanced Light Water Reactors (ALWR's). Flammability of general mixtures for thermodynamic conditions anticipated during a severe accident is quantified with a new correlation technique applied to data for several fuel and inertant mixtures and using accepted methods for combining these data. Combustion behavior is quantified by a mechanistic model consisting of a continuity and momentum balance for the burned gases, and considering an uncertainty parameter to match the idealized process to experiment. Benchmarks against experiment demonstrate the validity of this approach for a single recommended value of the flame flux multiplier parameter. The models presented here are equally applicable to analysis of current LWR's. 21 refs., 16 figs., 6 tabs.

Plys, M.G.; Astleford, R.D.; Epstein, M. (Fauske and Associates, Inc., Burr Ridge, IL (USA))

1988-01-01T23:59:59.000Z

387

Major models and data sources for residential and commercial sector energy conservation analysis. Final report  

SciTech Connect

Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

Not Available

1980-09-01T23:59:59.000Z

388

Numerical Modeling of Hydraulic Fracture Propagation Using Thermo-hydro-mechanical Analysis with Brittle Damage Model by Finite Element Method  

E-Print Network (OSTI)

Better understanding and control of crack growth direction during hydraulic fracturing are essential for enhancing productivity of geothermal and petroleum reservoirs. Structural analysis of fracture propagation and impact on fluid flow is a challenging issue because of the complexity of rock properties and physical aspects of rock failure and fracture growth. Realistic interpretation of the complex interactions between rock deformation, fluid flow, heat transfer, and fracture propagation induced by fluid injection is important for fracture network design. In this work, numerical models are developed to simulate rock failure and hydraulic fracture propagation. The influences of rock deformation, fluid flow, and heat transfer on fracturing processes are studied using a coupled thermo-hydro-mechanical (THM) analysis. The models are used to simulate microscopic and macroscopic fracture behaviors of laboratory-scale uniaxial and triaxial experiments on rock using an elastic/brittle damage model considering a stochastic heterogeneity distribution. The constitutive modeling by the energy release rate-based damage evolution allows characterizing brittle rock failure and strength degradation. This approach is then used to simulate the sequential process of heterogeneous rock failures from the initiation of microcracks to the growth of macrocracks. The hydraulic fracturing path, especially for fractures emanating from inclined wellbores and closed natural fractures, often involves mixed mode fracture propagation. Especially, when the fracture is inclined in a 3D stress field, the propagation cannot be modeled using 2D fracture models. Hence, 2D/3D mixed-modes fracture growth from an initially embedded circular crack is studied using the damage mechanics approach implemented in a finite element method. As a practical problem, hydraulic fracturing stimulation often involves fluid pressure change caused by injected fracturing fluid, fluid leakoff, and fracture propagation with brittle rock behavior and stress heterogeneities. In this dissertation, hydraulic fracture propagation is simulated using a coupled fluid flow/diffusion and rock deformation analysis. Later THM analysis is also carried out. The hydraulic forces in extended fractures are solved using a lubrication equation. Using a new moving-boundary element partition methodology (EPM), fracture propagation through heterogeneous media is predicted simply and efficiently. The method allows coupling fluid flow and rock deformation, and fracture propagation using the lubrication equation to solve for the fluid pressure through newly propagating crack paths. Using the proposed model, the 2D/3D hydraulic fracturing simulations are performed to investigate the role of material and rock heterogeneity. Furthermore, in geothermal and petroleum reservoir design, engineers can take advantage of thermal fracturing that occurs when heat transfers between injected flow and the rock matrix to create reservoir permeability. These thermal stresses are calculated using coupled THM analysis and their influence on crack propagation during reservoir stimulation are investigated using damage mechanics and thermal loading algorithms for newly fractured surfaces.

Min, Kyoung

2013-08-01T23:59:59.000Z

389

Speciation model selection by Monte Carlo analysis of optical absorption spectra: Plutonium(IV) nitrate complexes  

Science Conference Proceedings (OSTI)

Standard modeling approaches can produce the most likely values of the formation constants of metal-ligand complexes if a particular set of species containing the metal ion is known or assumed to exist in solution equilibrium with complexing ligands. Identifying the most likely set of species when more than one set is plausible is a more difficult problem to address quantitatively. A Monte Carlo method of data analysis is described that measures the relative abilities of different speciation models to fit optical spectra of open-shell actinide ions. The best model(s) can be identified from among a larger group of models initially judged to be plausible. The method is demonstrated by analyzing the absorption spectra of aqueous Pu(IV) titrated with nitrate ion at constant 2 molal ionic strength in aqueous perchloric acid. The best speciation model supported by the data is shown to include three Pu(IV) species with nitrate coordination numbers 0, 1, and 2. Formation constants are {beta}{sub 1}=3.2{+-}0.5 and {beta}{sub 2}=11.2{+-}1.2, where the uncertainties are 95% confidence limits estimated by propagating raw data uncertainties using Monte Carlo methods. Principal component analysis independently indicates three Pu(IV) complexes in equilibrium. (c) 2000 Society for Applied Spectroscopy.

Berg, John M. [Nuclear Materials Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Veirs, D. Kirk [Nuclear Materials Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Vaughn, Randolph B. [Nuclear Materials Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Cisneros, Michael R. [Nuclear Materials Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Smith, Coleman A. [Nuclear Materials Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

2000-06-01T23:59:59.000Z

390

An overview of severe accident modeling and analysis work for the ANS reactor conceptual safety analysis report  

Science Conference Proceedings (OSTI)

ORNL`s Advanced Neutron Source (ANS) will be a new user facility for all kinds of neutron research, centered around a research reactor of unprecedented neutron beam flux. A defense-in-depth philosophy has been adopted. In response to this commitment, ANS Project management has initiated severe accident analysis and related technology development efforts early-on in the design phase itself. Early consideration of severe accident issues will aid in designing a sufficiently robust containment for retention and controlled release of radionuclides in the event of such an accident. It will also provide a means for satisfying on- and off-site regulatory requirements and provide containment response and source term analyses for level-2 and -3 Probabilistic Risk Analyses (PRAs) that will be produced. Moreover, it will provide the best possible understanding of the ANS under severe accident conditions, and consequently provide insights for the development of strategies and design philosophies for accident management, mitigation, and emergency preparedness. This paper presents a perspective overview of the severe accident modeling and analysis work for the ANS Conceptual Safety Analysis Report (CSAR)

Taleyarkhan, R.P.

1992-12-31T23:59:59.000Z

391

Reduced order models for thermal analysis : final report : LDRD Project No. 137807.  

SciTech Connect

This LDRD Senior's Council Project is focused on the development, implementation and evaluation of Reduced Order Models (ROM) for application in the thermal analysis of complex engineering problems. Two basic approaches to developing a ROM for combined thermal conduction and enclosure radiation problems are considered. As a prerequisite to a ROM a fully coupled solution method for conduction/radiation models is required; a parallel implementation is explored for this class of problems. High-fidelity models of large, complex systems are now used routinely to verify design and performance. However, there are applications where the high-fidelity model is too large to be used repetitively in a design mode. One such application is the design of a control system that oversees the functioning of the complex, high-fidelity model. Examples include control systems for manufacturing processes such as brazing and annealing furnaces as well as control systems for the thermal management of optical systems. A reduced order model (ROM) seeks to reduce the number of degrees of freedom needed to represent the overall behavior of the large system without a significant loss in accuracy. The reduction in the number of degrees of freedom of the ROM leads to immediate increases in computational efficiency and allows many design parameters and perturbations to be quickly and effectively evaluated. Reduced order models are routinely used in solid mechanics where techniques such as modal analysis have reached a high state of refinement. Similar techniques have recently been applied in standard thermal conduction problems e.g. though the general use of ROM for heat transfer is not yet widespread. One major difficulty with the development of ROM for general thermal analysis is the need to include the very nonlinear effects of enclosure radiation in many applications. Many ROM methods have considered only linear or mildly nonlinear problems. In the present study a reduced order model is considered for application to the combined problem of thermal conduction and enclosure radiation. The main objective is to develop a procedure that can be implemented in an existing thermal analysis code. The main analysis objective is to allow thermal controller software to be used in the design of a control system for a large optical system that resides with a complex radiation dominated enclosure. In the remainder of this section a brief outline of ROM methods is provided. The following chapter describes the fully coupled conduction/radiation method that is required prior to considering a ROM approach. Considerable effort was expended to implement and test the combined solution method; the ROM project ended shortly after the completion of this milestone and thus the ROM results are incomplete. The report concludes with some observations and recommendations.

Hogan, Roy E., Jr.; Gartling, David K.

2010-09-01T23:59:59.000Z

392

Reduced Effective Model for Condensation in Slender Tubes with Rotational Symmetry, Obtained by Generalized Dimensional Analysis  

E-Print Network (OSTI)

Experimental results for condensation in compact heat exchangers show that the heat transfer due to condensation is significantly better compared to classical heat exchangers, especially when using R134a instead of water as the refrigerant. This suggests that surface tension plays a role. Using generalized dimensional analysis we derive reduced model equations and jump conditions for condensation in a vertical tube with cylindrical cross section. Based on this model we derive a single ordinary differential equation for the thickness of the condensate film as function of the tube axis. Our model agrees well with commonly used models from existing literature. It is based on the physical dimensions of the problem and has greater geometrical flexibility.

Dziubek, Andrea

2011-01-01T23:59:59.000Z

393

MODELING AND ANALYSIS OF GLOBAL AND REGIONAL HYDROLOGIC PROCESSES AND APPROPRIATE CONSERVATION OF MOIST ENTROPY  

SciTech Connect

The research supported by DOE funding addressed the fundamental issues of understanding and modeling of hydrologic processes in relation to regional and global climate change. The emphasis of this research effort was on the application of isentropic modeling and analysis to advance the accuracy of the simulation of all aspects of the hydrologic cycle including clouds and thus the climate state regionally and globally. Simulation of atmospheric hydrologic processes by the UW hybrid isentropic coordinate models provided fundamental insight into global monsoonal circulations, and regional energy exchange in relation to the atmospheric hydrologic cycle. Inter-comparison of UW hybrid model simulations with those from the NCAR Community Climate Model and other climate and numerical weather prediction (NWP) models investigated the increased accuracies gained in modeling long-range transport in isentropic coordinates and isolated differences in modeling of the climate state. The inter-comparisons demonstrated advantages in the simulation of the transport of the hydrologic components of the climate system and provided insight into the more general problems of simulating hydrologic processes, aerosols and chemistry for climate. This research demonstrated the viability of the UW isentropic-eta model for long-term integration for climate and climate change studies and documented that no insurmountable barriers exist to simulation of climate utilizing hybrid isentropic coordinate models. The results provide impetus for continued development of hybrid isentropic coordinate models as a means to advance accuracies in the simulation of global and regional climate in relation to transport and the planetary distribution of heat sources and sinks.

Donald Johnson, Todd Schaack

2007-06-08T23:59:59.000Z

394

Systematic parameter estimation and sensitivity analysis using a multidimensional PEMFC model coupled with DAKOTA.  

DOE Green Energy (OSTI)

Current computational models for proton exchange membrane fuel cells (PEMFCs) include a large number of parameters such as boundary conditions, material properties, and numerous parameters used in sub-models for membrane transport, two-phase flow and electrochemistry. In order to successfully use a computational PEMFC model in design and optimization, it is important to identify critical parameters under a wide variety of operating conditions, such as relative humidity, current load, temperature, etc. Moreover, when experimental data is available in the form of polarization curves or local distribution of current and reactant/product species (e.g., O2, H2O concentrations), critical parameters can be estimated in order to enable the model to better fit the data. Sensitivity analysis and parameter estimation are typically performed using manual adjustment of parameters, which is also common in parameter studies. We present work to demonstrate a systematic approach based on using a widely available toolkit developed at Sandia called DAKOTA that supports many kinds of design studies, such as sensitivity analysis as well as optimization and uncertainty quantification. In the present work, we couple a multidimensional PEMFC model (which is being developed, tested and later validated in a joint effort by a team from Penn State Univ. and Sandia National Laboratories) with DAKOTA through the mapping of model parameters to system responses. Using this interface, we demonstrate the efficiency of performing simple parameter studies as well as identifying critical parameters using sensitivity analysis. Finally, we show examples of optimization and parameter estimation using the automated capability in DAKOTA.

Wang, Chao Yang (Penn State University, University Park, PA); Luo, Gang (Penn State University, University Park, PA); Jiang, Fangming (Penn State University, University Park, PA); Carnes, Brian; Chen, Ken Shuang

2010-05-01T23:59:59.000Z

395

Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook  

SciTech Connect

The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential back to the underlying strategies and combination of efficiency and abatement policy instruments represented by each scenario, this analysis also had other important but often overlooked findings.

Zheng, Nina; Zhou, Nan; Fridley, David

2010-09-01T23:59:59.000Z

396

Solid waste integrated cost analysis model: 1991 project year report. Part 2  

SciTech Connect

The purpose of the City of Houston`s 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA`s Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.

Not Available

1991-12-31T23:59:59.000Z

397

Collaborative e-business process modelling: a holistic analysis framework focused on small and medium-sized enterprises  

Science Conference Proceedings (OSTI)

In this work, we propose a holistic analysis framework for collaborative e-Business process modelling approaches that takes into account the specific challenges small and medium-sized enterprises (SME) are facing with regard to modelling inter-organizational ... Keywords: analysis framework, business process management, collaborative business process, e-business, service-oriented architecture, sme

Volker Hoyer; Oliver Christ

2007-04-01T23:59:59.000Z

398

Summary of the Supplemental Model Reports Supporting the Disposal Criticality Analysis Methodology Topical Report  

SciTech Connect

The Department of Energy (DOE) Office of Civilian Radioactive Waste Management (OCRWM) has committed to a series of model reports documenting the methodology to be utilized in the Disposal Criticality Analysis Methodology Topical Report (YMP 2000). These model reports detail and provide validation of the methodology to be utilized for criticality analyses related to: (1) Waste form/waste package degradation; (2) Waste package isotopic inventory; (3) Criticality potential of degraded waste form/waste package configurations (effective neutron multiplication factor); (4) Probability of criticality (for each potential critical configuration as well as total event); and (5) Criticality consequences. This purpose of this summary report is to provide a status of the model reports and a schedule for their completion. This report also provides information relative to the model report content and validation. The model reports and their revisions are being generated as a result of: (1) Commitments made in the Disposal Criticality Analysis Methodology Topical Report (YMP 2000); (2) Open Items from the Safety Evaluation Report (Reamer 2000); (3) Key Technical Issue agreements made during DOE/U.S. Nuclear Regulatory Commission (NRC) Technical Exchange Meeting (Reamer and Williams 2000); and (4) NRC requests for additional information (Schlueter 2002).

D. A. Brownson

2002-09-26T23:59:59.000Z

399

Genetic Algorithms for Agent-Based Infrastructure Interdependency Modeling and Analysis  

SciTech Connect

Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, electric power, telecommunication, and financial networks. This paper describes initial research combining agent-based infrastructure modeling software and genetic algorithms (GAs) to help optimize infrastructure protection and restoration decisions. This research proposes to apply GAs to the problem of infrastructure modeling and analysis in order to determine the optimum assets to restore or protect from attack or other disaster. This research is just commencing and therefore the focus of this paper is the integration of a GA optimization method with a simulation through the simulation’s agents.

May Permann

2007-03-01T23:59:59.000Z

400

Equilibrium Response and Transient Dynamics Datasets from VEMAP, the Vegetation/Ecosystem Modeling and Analysis Project  

DOE Data Explorer (OSTI)

Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Evaluating Financial Model Performance: An Empirical Analysis of Some North Sea Investments  

E-Print Network (OSTI)

Fifty North Sea oil & gas investment transactions were analysed using traditional spreadsheet based financial modelling methods. The purpose of the analysis was to determine if there was a statistically significant relationship between the price paid for an oil & gas asset and the actual or expected financial return over the asset's economically useful life. Several interesting and statistically significant relationships were found which reveal useful information about financial modelling performance, the premia paid to acquire North Sea assets, the contribution oil and gas price uncertainty has on estimates of future financial returns and the median financial return of these North Sea Investments.

Croll, Grenville J; Lawal, Ola

2010-01-01T23:59:59.000Z

402

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

SciTech Connect

Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-11-10T23:59:59.000Z

403

Application of the pseudolinear-flow model to the pressure-transient analysis of fractured wells  

SciTech Connect

The theoretical basis for the pseudolinear-flow model is established. In this paper it is demonstrated by use of an analytical model that the linear-flow graph (rho vs. {Lambda}tau) can be extended to the analysis of pressure data of fractured wells intersected by an intermediate- or high-conductivity fracture (C/sub fD/ > 5{pi}). It appears that the fracture-conductivity effect during the pseudolinear-flow period can be handled as pseudoskin pressure drop that adds to the pressure drop caused by fluid-loss damage. The combination of the pseudolinear-flow analysis with other interpretation techniques is illustrated through examples of field cases.

Cinco-Ley, H.; Samanlego, V.F. (Univ. of Mexico/Pemex (MX)); Rodriguez, F. (Univ. of Mexico/IMP (MX))

1989-09-01T23:59:59.000Z

404

Open source software maturity model based on linear regression and Bayesian analysis  

E-Print Network (OSTI)

Open Source Software (OSS) is widely used and is becoming a significant and irreplaceable part of the software engineering community. Today a huge number of OSS exist. This becomes a problem if one needs to choose from such a large pool of OSS candidates in the same category. An OSS maturity model that facilitates the software assessment and helps users to make a decision is needed. A few maturity models have been proposed in the past. However, the parameters in the model are assigned not based on experimental data but on human experiences, feelings and judgments. These models are subjective and can provide only limited guidance for the users at the best. This dissertation has proposed a quantitative and objective model which is built from the statistical perspective. In this model, seven metrics are chosen as criteria for OSS evaluation. A linear multiple-regression model is created to assign a final score based on these seven metrics. This final score provides a convenient and objective way for the users to make a decision. The coefficients in the linear multiple-regression model are calculated from 43 OSS. From the statistical perspective, these coefficients are considered random variables. The joint distribution of the coefficients is discussed based on Bayesian statistics. More importantly, an updating rule is established through Bayesian analysis to improve the joint distribution, and thus the objectivity of the coefficients in the linear multiple-regression model, according to new incoming data. The updating rule provides the model the ability to learn and improve itself continually.

Zhang, Dongmin

2007-08-01T23:59:59.000Z

405

Improvement of the Post-Blowdown Fuel Channel Analysis Model of Candu for a 35% RIH Break LOCA Without ECC  

SciTech Connect

A CATHENA model for a post-blowdown fuel channel analysis has been improved from an existing one for a Candu-6 reactor, and the analysis for a RIH 35% LBLOCA/LOECC has been performed. The results for the blowdown and post blowdown analyses show that the post blowdown model and its connection with the blowdown analysis model is successfully implemented. Also the 3-D CFD model for the fluid flow and heat transfer in the Candu fuel channel, is being developed for the post blowdown fuel channel heatup experiment CS28-1 using CFX 5.6 and its recent progress is described. (authors)

Rhee, B. W.; Kang, H.S.; Min, B.J. [Korea Atomic Energy Research Institute, P.O. Box 105, Yuseong, Daejeon, 305-600 (Korea, Republic of)

2004-07-01T23:59:59.000Z

406

ANALYSIS OF TWO-PHASE FLOW MODELS WITH TWO MOMENTUM EQUATIONS.  

SciTech Connect

An analysis of the standard system of differential equations describing multi-speed flows of multi-phase media is performed. It is proved that the Cauchy problem, as posed in most best-estimate thermal-hydraulic codes, results in unstable solutions and potentially unreliable description of many physical phenomena. A system of equations, free from instability effects, is developed allowing more rigorous numerical modeling.

KROSHILIN,A.E.KROSHILIN,V.E.KOHUT,P.

2004-03-15T23:59:59.000Z

407

Plug-In Hybrid Electric Vehicle Environmental Analysis--Electric Sector Modeling of CO2 Emissions  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute has initiated a comprehensive collaborative study to quantify the environmental impacts of electric transportation, specifically with respect to plug-in hybrid electric vehicles (PHEVs). This technical update describes the adaptation of the EPRI electric sector model for the analysis of CO2 emissions from the charging on PHEVs on the electrical grid. A "PHEV Base Case" was developed using baseline assumptions from the "EPRI Base Case," a nominal set of key assumptio...

2006-11-29T23:59:59.000Z

408

New models for region of interest reader classification analysis in chest radiographs  

Science Conference Proceedings (OSTI)

In several computer-aided diagnosis (CAD) applications of image processing, there is no sufficiently sensitive and specific method for determining what constitutes a normal versus an abnormal classification of a chest radiograph. In the case of lung ... Keywords: 10.-v, 75.Pq, 87.85.Tu, Binary classification, Chest radiographs, Logic, set theory, and algebra, Mathematical procedures and computer techniques, Modeling biomedical systems, Pneumoconiosis, ROC analysis, Region of interest classification

M. S. Pattichis; T. Cacoullos; Peter Soliz

2009-06-01T23:59:59.000Z

409

Comparative Analysis of the Cost Models Used for Estimating Renovation Costs of Universities in Texas  

E-Print Network (OSTI)

Facility managers use various cost models and techniques to estimate the cost of renovating a building and to secure the required funds needed for building renovation. A literature search indicates that these techniques offer both advantages and disadvantages that need to be studied and analyzed. Descriptive statistical methods and qualitative analysis are employed to identify and compare techniques used by facility managers to calculate the expected renovation costs of a building. The cost models presently used to predict the cost and accumulate the budget required for renovation of a building were determined through interviews with ten Texas-based university facilities managers. The data and information gathered were analyzed and compared. Analysis of results suggests that traditional methods like Floor Area Method (FAM) is the most accurate, less time consuming, easy to use as well as convenient for data collection. Case-Based Reasoning (CBR), though not as widely used as FAM, is known to facilities managers. This is due to the fact that, if a new type of project needs to be renovated, and the data for a similar project is not available with the facilities manager, a completely new database needs to be created. This issue can be resolved by creating a common forum where data for all types of project could be made available for the facilities managers. Methods such as regression analysis and neural networks are known to give more accurate results. However, of the ten interviewees, only one was aware of these new models but did not use them as they would be helpful for very large projects and they would need expertise. Thus such models should be simplified to not only give accurate results in less time but also be easy to use. These results may allow us to discuss changes needed within the various cost models.

Faquih, Yaquta Fakhruddin

2010-08-01T23:59:59.000Z

410

WaterSense Program: Methodology for National Water Savings Analysis Model Indoor Residential Water Use  

SciTech Connect

The U.S. Environmental Protection Agency (EPA) influences the market for plumbing fixtures and fittings by encouraging consumers to purchase products that carry the WaterSense label, which certifies those products as performing at low flow rates compared to unlabeled fixtures and fittings. As consumers decide to purchase water-efficient products, water consumption will decline nationwide. Decreased water consumption should prolong the operating life of water and wastewater treatment facilities.This report describes the method used to calculate national water savings attributable to EPA?s WaterSense program. A Microsoft Excel spreadsheet model, the National Water Savings (NWS) analysis model, accompanies this methodology report. Version 1.0 of the NWS model evaluates indoor residential water consumption. Two additional documents, a Users? Guide to the spreadsheet model and an Impacts Report, accompany the NWS model and this methodology document. Altogether, these four documents represent Phase One of this project. The Users? Guide leads policy makers through the spreadsheet options available for projecting the water savings that result from various policy scenarios. The Impacts Report shows national water savings that will result from differing degrees of market saturation of high-efficiency water-using products.This detailed methodology report describes the NWS analysis model, which examines the effects of WaterSense by tracking the shipments of products that WaterSense has designated as water-efficient. The model estimates market penetration of products that carry the WaterSense label. Market penetration is calculated for both existing and new construction. The NWS model estimates savings based on an accounting analysis of water-using products and of building stock. Estimates of future national water savings will help policy makers further direct the focus of WaterSense and calculate stakeholder impacts from the program.Calculating the total gallons of water the WaterSense program saves nationwide involves integrating two components, or modules, of the NWS model. Module 1 calculates the baseline national water consumption of typical fixtures, fittings, and appliances prior to the program (as described in Section 2.0 of this report). Module 2 develops trends in efficiency for water-using products both in the business-as-usual case and as a result of the program (Section 3.0). The NWS model combines the two modules to calculate total gallons saved by the WaterSense program (Section 4.0). Figure 1 illustrates the modules and the process involved in modeling for the NWS model analysis.The output of the NWS model provides the base case for each end use, as well as a prediction of total residential indoor water consumption during the next two decades. Based on the calculations described in Section 4.0, we can project a timeline of water savings attributable to the WaterSense program. The savings increase each year as the program results in the installation of greater numbers of efficient products, which come to compose more and more of the product stock in households throughout the United States.

Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka

2008-02-28T23:59:59.000Z

411

A versatile computer model for the design and analysis of electric and hybrid vehicles  

E-Print Network (OSTI)

The primary purpose of the work reported in this thesis was to develop a versatile computer model to facilitate the design and analysis of hybrid vehicle drive-trains. A hybrid vehicle is one in which power for propulsion comes from two distinct sources, usually an internal combustion engine and an electric motor. Because of the design flexibility inherent in a propulsion system that has more than one source of energy, computer er modeling is necessary to identify which parameters are mainly responsible for the performance of the power-plant and to determine which designs are most viable. The modeling system described i@ this thesis was developed to accommodate a wide range of vehicle components and modeling techniques. The modeling framework to which the drive-train component models are attached emphasizes the functional role of components and not their implementation. This creates a uniform component interface which limits access to the inner workings of a component model and improves compatibility between various types of models. Conceptual levels of abstraction are identified in this thesis which can be used to organize information in a hybrid vehicle model. By incorporating these levels into the modeling system, the tasks associated with creating a hybrid vehicle are separated allowing the designer to focus on one aspect at a time. The modeling of the various levels occurs at independent locations in the model and the interfaces between the conceptual levels are defined so that changing the implementation of a particular level does not affect its interaction with other levels. A simulation study is then detailed to show how the model can be used to create and analyze hybrid vehicle designs. The study focuses on two control algorithms which implement a sustainable, electrically-peaking, parallel hybrid design. The first algorithm reduces fuel consumption by minimizing the amount of time that the internal combustion engine is operated. The second algorithm reduces the load on the electric motor by operating the internal combustion engine over its entire speed range. The simulation results indicate that both algorithms can successfully maintain the battery state of charge over the given drive-cycle. Finally, conclusions about the model and recommendations for future studies are discussed.

Stevens, Kenneth Michael

1996-01-01T23:59:59.000Z

412

A finite element analysis modeling tool for solid oxide fuel cell development: coupled electrochemistry, thermal and flow analysis in MARC®  

Science Conference Proceedings (OSTI)

A 3D simulation tool for modeling solid oxide fuel cells is described. The tool combines the versatility and efficiency of a commercial finite element analysis code, MARC{reg_sign}, with an in-house developed robust and flexible electrochemical (EC) module. Based upon characteristic parameters obtained experimentally and assigned by the user, the EC module calculates the current density distribution, heat generation, and fuel and oxidant species concentration, taking the temperature profile provided by MARC{reg_sign} and operating conditions such as the fuel and oxidant flow rate and the total stack output voltage or current as the input. MARC{reg_sign} performs flow and thermal analyses based on the initial and boundary thermal and flow conditions and the heat generation calculated by the EC module. The main coupling between MARC{reg_sign} and EC is for MARC{reg_sign} to supply the temperature field to EC and for EC to give the heat generation profile to MARC{reg_sign}. The loosely coupled, iterative scheme is advantageous in terms of memory requirement, numerical stability and computational efficiency. The coupling is iterated to self-consistency for a steady-state solution. Sample results for steady states as well as the startup process for stacks with different flow designs are presented to illustrate the modeling capability and numerical performance characteristic of the simulation tool.

Khaleel, Mohammad A.; Lin, Zijing; Singh, Prabhakar; Surdoval, Wayne; Collin, D

2004-05-03T23:59:59.000Z

413

Transient Response of the Hadley Centre Coupled Ocean-Atmosphere Model to Increasing Carbon Dioxide. Part III: Analysis of Global-Mean Response Using Simple Models  

Science Conference Proceedings (OSTI)

The roles of surface, atmospheric, and oceanic feedbacks in controlling the global-mean transient response of a coupled ocean-atmosphere general circulation model to increasing carbon dioxide are investigated. The analysis employs a four-box ...

J. M. Murphy

1995-03-01T23:59:59.000Z

414

The application of load models of electric appliances to distribution system analysis  

SciTech Connect

This paper proposes a methodology to apply the load models of key electric appliances in residential area for distribution system analysis. According to the load models, the transformer hourly loading is estimated during simulation iteration by the bus voltage and ambient temperature. A three phase load flow program is then executed to find the feeder daily profile of power consumption and system loss with the transformer hourly loading derived. Besides, the daily power consumption by each type of key appliances can also be solved. To demonstrate the effectiveness of the proposed method, a distribution feeder of Taipower system is selected for computer simulation to find the potential of energy conservation by controlling the feeder service voltage at substation. Moreover, the load model of air conditioners, which are temperature sensitive appliances, is also considered in the program to find the impact of ambient temperature change to the power consumption of residential distribution feeders. It is concluded that the load models of key electric appliances can provide a useful tool for distribution engineers to enhance the accuracy of system analysis to estimate the operation efficiency of distribution system in a more effective manner.

Chen, C.S.; Wu, T.H.; Lee, C.C.; Tzeng, Y.M. [National Sun Yat-Sen Univ., Kaohsiung (Taiwan, Province of China). Dept. of Electrical Engineering

1995-08-01T23:59:59.000Z

415

Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform  

SciTech Connect

This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. Models in this code are of greater fidelity than most of the models that have been used to analyze floating turbines in the past--which have neglected important hydrodynamic and mooring system effects. The report provides a description of the development process of a TLP model, which is a modified version of a Massachusetts Institute of Technology design derived from a parametric linear frequency-domain optimization process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the International Electrotechnical Commission offshore wind turbine design standard was performed with the verified TLP model. Response statistics, extreme event tables, fatigue lifetimes, and selected time histories of design-driving extreme events are analyzed and presented. Loads for the wind turbine on the TLP are compared to those of an equivalent land-based turbine in terms of load ratios. Major instabilities for the TLP are identified and described.

Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.

2010-02-01T23:59:59.000Z

416

Supercomputer and cluster performance modeling and analysis efforts:2004-2006.  

Science Conference Proceedings (OSTI)

This report describes efforts by the Performance Modeling and Analysis Team to investigate performance characteristics of Sandia's engineering and scientific applications on the ASC capability and advanced architecture supercomputers, and Sandia's capacity Linux clusters. Efforts to model various aspects of these computers are also discussed. The goals of these efforts are to quantify and compare Sandia's supercomputer and cluster performance characteristics; to reveal strengths and weaknesses in such systems; and to predict performance characteristics of, and provide guidelines for, future acquisitions and follow-on systems. Described herein are the results obtained from running benchmarks and applications to extract performance characteristics and comparisons, as well as modeling efforts, obtained during the time period 2004-2006. The format of the report, with hypertext links to numerous additional documents, purposefully minimizes the document size needed to disseminate the extensive results from our research.

Sturtevant, Judith E.; Ganti, Anand; Meyer, Harold (Hal) Edward; Stevenson, Joel O.; Benner, Robert E., Jr. (.,; .); Goudy, Susan Phelps; Doerfler, Douglas W.; Domino, Stefan Paul; Taylor, Mark A.; Malins, Robert Joseph; Scott, Ryan T.; Barnette, Daniel Wayne; Rajan, Mahesh; Ang, James Alfred; Black, Amalia Rebecca; Laub, Thomas William; Vaughan, Courtenay Thomas; Franke, Brian Claude

2007-02-01T23:59:59.000Z

417

Final safety analysis report for the Galileo Mission: Volume 2, Book 2: Accident model document: Appendices  

Science Conference Proceedings (OSTI)

This section of the Accident Model Document (AMD) presents the appendices which describe the various analyses that have been conducted for use in the Galileo Final Safety Analysis Report II, Volume II. Included in these appendices are the approaches, techniques, conditions and assumptions used in the development of the analytical models plus the detailed results of the analyses. Also included in these appendices are summaries of the accidents and their associated probabilities and environment models taken from the Shuttle Data Book (NSTS-08116), plus summaries of the several segments of the recent GPHS safety test program. The information presented in these appendices is used in Section 3.0 of the AMD to develop the Failure/Abort Sequence Trees (FASTs) and to determine the fuel releases (source terms) resulting from the potential Space Shuttle/IUS accidents throughout the missions.

Not Available

1988-12-15T23:59:59.000Z

418

The Use Of Computational Human Performance Modeling As Task Analysis Tool  

SciTech Connect

During a review of the Advanced Test Reactor safety basis at the Idaho National Laboratory, human factors engineers identified ergonomic and human reliability risks involving the inadvertent exposure of a fuel element to the air during manual fuel movement and inspection in the canal. There were clear indications that these risks increased the probability of human error and possible severe physical outcomes to the operator. In response to this concern, a detailed study was conducted to determine the probability of the inadvertent exposure of a fuel element. Due to practical and safety constraints, the task network analysis technique was employed to study the work procedures at the canal. Discrete-event simulation software was used to model the entire procedure as well as the salient physical attributes of the task environment, such as distances walked, the effect of dropped tools, the effect of hazardous body postures, and physical exertion due to strenuous tool handling. The model also allowed analysis of the effect of cognitive processes such as visual perception demands, auditory information and verbal communication. The model made it possible to obtain reliable predictions of operator performance and workload estimates. It was also found that operator workload as well as the probability of human error in the fuel inspection and transfer task were influenced by the concurrent nature of certain phases of the task and the associated demand on cognitive and physical resources. More importantly, it was possible to determine with reasonable accuracy the stages as well as physical locations in the fuel handling task where operators would be most at risk of losing their balance and falling into the canal. The model also provided sufficient information for a human reliability analysis that indicated that the postulated fuel exposure accident was less than credible.

Jacuqes Hugo; David Gertman

2012-07-01T23:59:59.000Z

419

Modelling of environmental impacts of solid waste landfilling within the life-cycle analysis program EASEWASTE  

Science Conference Proceedings (OSTI)

A new computer-based life-cycle assessment model (EASEWASTE) has been developed to evaluate resource and environmental consequences of solid waste management systems. This paper describes the landfilling sub-model used in the life-cycle assessment program EASEWASTE, and examines some of the implications of this sub-model. All quantities and concentrations of leachate and landfill gas can be modified by the user in order to bring them in agreement with the actual landfill that is assessed by the model. All emissions, except the generation of landfill gas, are process specific. The landfill gas generation is calculated on the basis of organic matter in the landfilled waste. A landfill assessment example is provided. For this example, the normalised environmental effects of landfill gas on global warming and photochemical smog are much greater than the environmental effects for landfill leachate or for landfill construction. A sensitivity analysis for this example indicates that the overall environmental impact is sensitive to the gas collection efficiency and the use of the gas, but not to the amount of leachate generated, or the amount of soil or liner material used in construction. The landfill model can be used for evaluating different technologies with different liners, gas and leachate collection efficiencies, and to compare the environmental consequences of landfilling with alternative waste treatment options such as incineration or anaerobic digestion.

Kirkeby, Janus T.; Birgisdottir, Harpa [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark); Bhander, Gurbakash Singh; Hauschild, Michael [Department of Manufacturing Engineering and Management, Technical University of Denmark, Building 424, DK-2800 Lyngby (Denmark); Christensen, Thomas H. [Environment and Resources, Technical University of Denmark, DTU, Building 113, DK-2800 Kgs. Lyngby (Denmark)], E-mail: thc@er.dtu.dk

2007-07-01T23:59:59.000Z

420

Science-Based Simulation Model of Human Performance for Human Reliability Analysis  

Science Conference Proceedings (OSTI)

Human reliability analysis (HRA), a component of an integrated probabilistic risk assessment (PRA), is the means by which the human contribution to risk is assessed, both qualitatively and quantitatively. However, among the literally dozens of HRA methods that have been developed, most cannot fully model and quantify the types of errors that occurred at Three Mile Island. Furthermore, all of the methods lack a solid empirical basis, relying heavily on expert judgment or empirical results derived in non-reactor domains. Finally, all of the methods are essentially static, and are thus unable to capture the dynamics of an accident in progress. The objective of this work is to begin exploring a dynamic simulation approach to HRA, one whose models have a basis in psychological theories of human performance, and whose quantitative estimates have an empirical basis. This paper highlights a plan to formalize collaboration among the Idaho National Laboratory (INL), the University of Maryland, and The Ohio State University (OSU) to continue development of a simulation model initially formulated at the University of Maryland. Initial work will focus on enhancing the underlying human performance models with the most recent psychological research, and on planning follow-on studies to establish an empirical basis for the model, based on simulator experiments to be carried out at the INL and at the OSU.

Dana L. Kelly; Ronald L. Boring; Ali Mosleh; Carol Smidts

2011-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis ema model" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation  

Science Conference Proceedings (OSTI)

The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.

Werbos, P.J.

1983-12-01T23:59:59.000Z

422

Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example  

Science Conference Proceedings (OSTI)

Parameter optimization and uncertainty issues are a great challenge for the application of large environmental models like the Soil and Water Assessment Tool (SWAT), which is a physically-based hydrological model for simulating water and nutrient cycles ... Keywords: Calibration, FME, Monte Carlo, R, SWAT, Sensitivity and uncertainty analysis

Yiping Wu; Shuguang Liu

2012-05-01T23:59:59.000Z

423

Macro-System Model: A Federated Object Model for Cross-Cutting Analysis of Hydrogen Production, Delivery, Consumption and Associated Emissions; Preprint  

DOE Green Energy (OSTI)

It is commonly accepted that the introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological development of infrastructure elements, such as production, delivery, and consumption, all associated with certain emission levels. To analyze these at a system level, the suite of corresponding models developed by the United States Department of Energy and involving several national laboratories is combined in one macro-system model (MSM). The macro-system model is being developed as a cross-cutting analysis tool that combines a set of hydrogen technology analysis models. Within the MSM, a federated simulation framework is used for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and involves features of 'over-the-net' computation.

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

2010-12-01T23:59:59.000Z

424

Macro-System Model: A Federated Object Model for Cross-Cutting Analysis of Hydrogen Production, Delivery, Consumption and Associated Emissions  

DOE Green Energy (OSTI)

The introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological progress in several directions, such as production, delivery, consumption, and related emissions. To analyze each of these, a suite of corresponding models have been developed by the DOE, involving inputs from several national laboratories. The macro-system model is being developed as a cross-cutting analysis tool which combines a set of hydrogen technology analysis models. Within the macro-system model (MSM), federated simulation framework used for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and will involve features of 'over-the-net' computation.

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

2009-12-01T23:59:59.000Z

425

A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis  

E-Print Network (OSTI)

The Zimbabwean government utilizes the corn supply forecasts to establish producer prices for the following growing season, estimate corn storage and handling costs, project corn import needs and associated costs, and to assess the Grain Marketing Board's financial resource needs. Thus, the corn supply forecasts are important information used by the government for contingency planning, decision-making, policy-formulation and implementation. As such, the need for accurate forecasts is obvious. The objectives of the study are: (a) determine how changes in the government-established producer price affects the quantity of corn supplied to the Grain Marketing Board by the large-scale corn-producing sector and (b) whether including rainfall or rainfall probabilities into econometric models would result in an improvement of corn supply forecasts compared to current forecasts by the government. In order to accomplish the first objective a supply elasticity model was specified and estimated using ordinary least squares. This model is intended to provide 'de insight to the government regarding the influence of the government-established corn price and other related variables on corn supplied to the Grain Marketing Board by the large-scale producers. Thus, the estimated model would be useful to the government when establishing corn prices in March/April for production in the following growing season (October - February). To achieve the second objective, preliminary analysis was carried out to verify whether there is statistical evidence to support the hypothesis that rainfall cause" corn production and supply, and also corn prices and sales. Specifically the preliminary analysis involved using the Granger causality tests, stationarity tests and innovation accounting (impulse responses and forecast error decomposition). Having verified and quantified the causal effects of rainfall on corn production and supply, the next task was to investigate whether including rainfall and/or drought probabilities into forecasting econometric models would help provide improved out-of-sample forecasts compared to the government's forecasts. The forecasting accuracy of the models (short-run) was evaluated using standard statistical measures such as, the mean square error (MSE), mean absolute percentage error (MAPEI), improved mean absolute percentage error (IMAPE) and Theil's U-statistic, and thereupon select the best model. The results indicated that by incorporating rainfall and/or rainfall probabilities into econometric forecasting models, there was substantial improvement in corn supply forecasts. It follows that the the government would likely find it beneficial to incorporate the rainfall variable into their forecasting effort.

Makaudze, Ephias

1993-01-01T23:59:59.000Z

426

Managerial Coaching Behavior and Employee Outcomes: A Structural Equation Modeling Analysis  

E-Print Network (OSTI)

During the last two decades, managerial coaching has become increasingly popular in organizations. Despite its popularity, there is a paucity of empirical evidence in the study of managerial coaching outcomes. The purpose of this study was to examine the relationships between perceived managerial coaching behavior and employee self-reported affective and performance-related outcomes based on perceptions of selected organization employees. Three theories, path-goal leadership, career motivation, and organization support, were used to frame the hypothesized conceptual model of managerial coaching outcomes for the current study. The systematic review of relevant literature identified satisfaction with work, role ambiguity, satisfaction with manager, career commitment, job performance, and organization commitment for the potential outcomes of managerial coaching. A 36-item survey including seven existing instruments was utilized to collect data. An estimation of the readability level for the survey was Flesh-Kincaid Grade Level 7.1. The survey was sent electronically to all employees in the selected government organization. The sample included 431 respondents representing a population of 1,399 employees. Descriptive statistics, principal component analysis, Cronbach‘s alpha estimates for reliability, correlation analysis, two-step modeling techniques for structural equation modeling, and Sobel tests were the analysis methods used in the study. The results of the analyses indicated that the hypothesized conceptual model was adequately supported by the empirical data of the study sample (?2/df = 3.53; CFI = .91; IFI = .91; RMSEA = .08). The further investigations suggested that managerial coaching had a direct impact on employee satisfaction with work and role clarity and an indirect impact on satisfaction with work, career commitment, job performance, and organization commitment. Role clarity, as a direct outcome of managerial coaching, influenced job performance—such mediation was consistent with the hypothesized model for the study. The hypothesized model had clear and comprehensive illustrations of how managerial coaching affects work and organization-related variables, satisfaction with work, role clarity, career commitment, job performance, and organization commitment. This study provides empirical support to the proposed benefits of managerial coaching in organizations, and enhances the selected theories by offering additional empirical support to them.

Kim, Sewon

2010-08-01T23:59:59.000Z

427

HyDIVE (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

HyDIVE(tm) HyDIVE(tm) (Hydrogen Dynamic Infrastructure and Vehicle Evolution) model analysis Cory Welch Hydrogen Analysis Workshop, August 9-10 Washington, D.C. Disclaimer and Government License This work has been authored by Midwest Research Institute (MRI) under Contract No. DE- AC36-99GO10337 with the U.S. Department of Energy (the "DOE"). The United States Government (the "Government") retains and the publisher, by accepting the work for publication, acknowledges that the Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for Government purposes. Neither MRI, the DOE, the Government, nor any other agency thereof, nor any of their

428

GEOCITY: a computer model for systems analysis of geothermal district heating and cooling costs  

DOE Green Energy (OSTI)

GEOCITY is a computer-simulation model developed to study the economics of district heating/cooling using geothermal energy. GEOCITY calculates the cost of district heating/cooling based on climate, population, resource characteristics, and financing conditions. The basis for our geothermal-energy cost analysis is the unit cost of energy which will recover all the costs of production. The calculation of the unit cost of energy is based on life-cycle costing and discounted-cash-flow analysis. A wide variation can be expected in the range of potential geothermal district heating and cooling costs. The range of costs is determined by the characteristics of the resource, the characteristics of the demand, and the distance separating the resource and the demand. GEOCITY is a useful tool for estimating costs for each of the main parts of the production process and for determining the sensitivity of these costs to several significant parameters under a consistent set of assumptions.

Fassbender, L.L.; Bloomster, C.H.

1981-06-01T23:59:59.000Z

429

Modeling and Analysis of Load and Time Dependent Software Rejuvenation Policies  

E-Print Network (OSTI)

Due to repeated and potentially faulty usage of continuously running client-server type software systems by many clients, such software "ages" with time and eventually fails. Huang et. al. proposed a technique called "software rejuvenation" [3] in which the software is periodically stopped and then restarted in a "robust" state after proper maintenance. This "renewal " of software prevents, or at least postpones, the crash failure. In this paper, we present a quantitative analysis of two software rejuvenation policies. The first one considers only the ageing behaviour of the system by time, while the second one considers the actual load of the system as well. The behaviour of the system is represented through a Markov Regenerative Stochastic Petri Net (MRSPN) model. Numerical analysis of the system performance regarding the probability of successful service of clients is provided. Keywords: Continuously running client-server software systems, Software rejuvenation, Markov Regenerati...

S. Garg; A. Pfening; A. Puliafito; M. Telek; K. S. Trivedi

1996-01-01T23:59:59.000Z

430

Analysis of Heat Dissipation in Li-Ion Cells & Modules for Modeling of Thermal Runaway (Presentation)  

DOE Green Energy (OSTI)

The objectives of this study are: (1) To develop 3D Li-Ion battery thermal abuse ''reaction'' models for cell and module analysis; (2) To understand the mechanisms and interactions between heat transfer and chemical reactions during thermal runaway for Li-Ion cells and modules; (3) To develop a tool and methodology to support the design of abuse-tolerant Li-Ion battery systems for PHEVs/HEVs; and (4) To help battery developers accelerate delivery of abuse-tolerant Li-Ion battery systems in support of the FreedomCAR's Energy Storage Program.

Kim, G.-H.; Pesaran, A.

2007-05-15T23:59:59.000Z

431

HEAP: heat energy analysis program. A computer model simulating solar receivers  

DOE Green Energy (OSTI)

Thermal design of solar receivers is commonly accomplished via approximate models, where the receiver is treated as an isothermal box with lumped quantities of heat losses to the surroundings by radiation, conduction and convection. These approximate models, though adequate for preliminary design purposes, are not detailed enough to distinguish between different receiver designs, or to predict transient performance under variable solar flux, ambient temperatures, etc. A computer code has been written for this purpose and is given the name HEAP, an acronym for Heat Energy Analysis Program. HEAP has a basic structure that fits a general heat transfer problem, but with specific features that are custom-made for solar receivers. The code is written in MBASIC computer language. This document explains the detailed methodology followed in solving the heat transfer problem, and includes a program flow chart, an explanation of input and output tables, and an example of the simulation of a cavity-type solar receiver.

Lansing, F.L.

1979-01-15T23:59:59.000Z

432

Depositional sequence analysis and sedimentologic modeling for improved prediction of Pennsylvanian reservoirs  

Science Conference Proceedings (OSTI)

Reservoirs in the Lansing-Kansas City limestone result from complex interactions among paleotopography (deposition, concurrent structural deformation), sea level, and diagenesis. Analysis of reservoirs and surface and near-surface analogs has led to developing a {open_quotes}strandline grainstone model{close_quotes} in which relative sea-level stabilized during regressions, resulting in accumulation of multiple grainstone buildups along depositional strike. Resulting stratigraphy in these carbonate units are generally predictable correlating to inferred topographic elevation along the shelf. This model is a valuable predictive tool for (1) locating favorable reservoirs for exploration, and (2) anticipating internal properties of the reservoir for field development. Reservoirs in the Lansing-Kansas City limestones are developed in both oolitic and bioclastic grainstones, however, re-analysis of oomoldic reservoirs provides the greatest opportunity for developing bypassed oil. A new technique, the {open_quotes}Super{close_quotes} Pickett crossplot (formation resistivity vs. porosity) and its use in an integrated petrophysical characterization, has been developed to evaluate extractable oil remaining in these reservoirs. The manual method in combination with 3-D visualization and modeling can help to target production limiting heterogeneities in these complex reservoirs and moreover compute critical parameters for the field such as bulk volume water. Application of this technique indicates that from 6-9 million barrels of Lansing-Kansas City oil remain behind pipe in the Victory-Northeast Lemon Fields. Petroleum geologists are challenged to quantify inferred processes to aid in developing rationale geologically consistent models of sedimentation so that acceptable levels of prediction can be obtained.

Watney, W.L.

1994-12-01T23:59:59.000Z

433

Analysis and calibration of social factors in a consumer acceptance and adoption model for diffusion of diesel vehicle in Europe  

E-Print Network (OSTI)

While large scale diffusion of alternative fuel vehicles (AFVs) is widely anticipated, the mechanisms that determine their success or failure are ill understood. Analysis of an AFV transition model developed at MIT has ...

Zhang, Qi, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

434

Space Logistics Modeling and Simulation Analysis using SpaceNet: Four Application Cases  

E-Print Network (OSTI)

The future of space exploration will not be limited to sortie-style missions to single destinations. Even in present exploration taking place at the International Space Station in low-Earth orbit, logistics is complicated by flights arriving from five launch sites on Earth. The future challenges of space logistics given complex campaigns of interconnected missions in deep space will require innovative tools to aid planning and conceptual design. This paper presents a modeling framework to evaluate the propulsive and logistics feasibility of space exploration from the macro-logistics perspective, which covers the delivery of elements and resources to support demands generated during exploration. The modeling framework is implemented in a versatile and unifying software tool, SpaceNet, for general space exploration scenario analysis. Four space exploration scenarios are presented as application cases to highlight the applicability of the framework across vastly different scenarios. The first case investigates the resupply of the International Space Station between 2010 and 2015 using 77 missions combining NASA, European Space Agency, Japanese Space Agency, Russian Space Agency, and commercial space transportation. The second case models a lunar outpost build-up consisting of 17 flights to achieve continuous human presence over eight years. The third case models and evaluates a conceptual sortie-style mission to a near-Earth object, 1999 AO10. Finally, the fourth case models a flexible path type human exploration in the vicinity of Mars using a combination of human and tele-operated exploration. Taken together these cases demonstrate the challenges and logistical requirements of future human space exploration campaigns during the period from 2010-2050 and illustrate the ability of SpaceNet to model and simulate the feasibility of meeting these requirements. I.

Paul T. Grogan; Howard K. Yue; Olivier L. De Weck

2011-01-01T23:59:59.000Z

435

Integrated Analysis and Application of Reservoir Models to Early Permian Detrital Carbonate Deposits, Midland Basin, Texas  

E-Print Network (OSTI)

A 3-D seismic volume, wireline logs and core data were integrated to determine the spatial distribution of porous reservoirs within the Wolfcampian-Leonardian detrital carbonate slope and basin strata in Glasscock County, Texas. A 3-D seismic amplitude volume was used to construct a seismic facies analysis of the detrital carbonate section, and generated attribute volumes helped identify detrital carbonate depositional trends, as well as establish a potential correlation between thick detrital carbonate intervals and associated amplitude response. Eight lithofacies were identified in core and were subsequently classified into three main facies: debris flow, grain flow/turbidite, and basinal shale. A facies type log was then created, which was used to supervise the creation of facies logs within other wells to ultimately use in the creation of a 3-D facies model. Cross sections through the study area show an increase in bathymetric relief beginning in Wolfcampian time and continuing through the Leonardian. Detrital carbonate deposition increases dramatically during the Leonardian, consisting of large gravity flows deposited basinward in a northwest-southeast linear trend, rapidly thinning basinward. Individual flows are discontinuous and bounded by basinal shale facies. Four seismic facies were identified within the interval of interest using a structurally smoothed attribute volume, while an RMS amplitude attribute volume provided a correlation between high RMS amplitude values and detrital carbonate thickness. A high RMS amplitude value corresponding to the debris flow facies was extracted from the RMS attribute volume in the form of a seismic geobody. Two facies models and one porosity model were generated by using upscaled values from the gamma ray, total porosity, and lithofacies logs, which were applied over areas with the densest well control. Although the facies model populated from upscaled GR values was useful in stratigraphic interpretation, it is determined that the models should be applied over areas with denser well spacing in order to provide a more accurate and geologically viable subsurface model.

Johnston, Travis 1987-

2012-12-01T23:59:59.000Z

436

Development of a natural gas systems analysis model (GSAM). Annual report, January 1994--January 1995  

SciTech Connect

The objective of GSAM development is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the system, including the resource base, exploration and development practices, extraction technology performance and costs, project economics, transportation costs and restrictions, storage, and end-use. The primary focus is the detailed characterization of the resource base at the reservoir and sub-reservoir level. This disaggregation allows direct evaluation of alternative extraction technologies based on discretely estimated, individual well productivity, required investments, and associated operating costs. GSAM`s design allows users to evaluate complex interactions of current and alternative future technology and policy initiatives as they directly impact the gas market. Key activities completed during the past year include: conducted a comparative analysis of commercial reservoir databases; licensed and screened NRG Associates Significant Oil and Gas Fields of the US reservoir database; developed and tested reduced form reservoir model production type curves; fully developed database structures for use in GSAM and linkage to other systems; developed a methodology for the exploration module; collected and updated upstream capital and operating cost parameters; completed initial integration of downstream/demand models; presented research results at METC Contractor Review Meeting; conducted other briefings for METC managers, including initiation of the GSAM Environmental Module; and delivered draft topical reports on technology review, model review, and GSAM methodology.

NONE

1994-07-01T23:59:59.000Z

437

Development, sensitivity analysis, and uncertainty quantification of high-fidelity arctic sea ice models.  

SciTech Connect

Arctic sea ice is an important component of the global climate system and due to feedback effects the Arctic ice cover is changing rapidly. Predictive mathematical models are of paramount importance for accurate estimates of the future ice trajectory. However, the sea ice components of Global Climate Models (GCMs) vary significantly in their prediction of the future state of Arctic sea ice and have generally underestimated the rate of decline in minimum sea ice extent seen over the past thirty years. One of the contributing factors to this variability is the sensitivity of the sea ice to model physical parameters. A new sea ice model that has the potential to improve sea ice predictions incorporates an anisotropic elastic-decohesive rheology and dynamics solved using the material-point method (MPM), which combines Lagrangian particles for advection with a background grid for gradient computations. We evaluate the variability of the Los Alamos National Laboratory CICE code and the MPM sea ice code for a single year simulation of the Arctic basin using consistent ocean and atmospheric forcing. Sensitivities of ice volume, ice area, ice extent, root mean square (RMS) ice speed, central Arctic ice thickness, and central Arctic ice speed with respect to ten different dynamic and thermodynamic parameters are evaluated both individually and in combination using the Design Analysis Kit for Optimization and Terascale Applications (DAKOTA). We find similar responses for the two codes and some interesting seasonal variability in the strength of the parameters on the solution.

Peterson, Kara J.; Bochev, Pavel Blagoveston; Paskaleva, Biliana S.

2010-09-01T23:59:59.000Z

438

Modeling and Analysis of the Ranchero Coaxial Explosive Pulse Power Generator System  

SciTech Connect

A key element in the design of a coaxial generator system is the simplicity of the geometry. The clean cylindrical geometry allows us a reasonable chance at modeling RANCHERO performance using our 1D and 2D MHD modeling codes. The results of numerical simulations have been compare to several tests of the RANCHERO system in a variety of configurations. Recent comparisons of 1D calculations with the REOT-2 data have been extremely good and suggest that the generator is behaving in a very 1D like nature until reaching 90-95% of peak current. Differences between calculated current and measured performance during the last 3 mm (out of 70 mm) of flux compression may be a consequence of either the EOS for SF{sub 6}, 2D effects, or both. This study will examine the existing models and attempt to provide a robust integrated model which can then be used to drive design studies, pre- and post-shot analysis, and predict performance parameters for slight variations of the base design of RANCHE RO.

Atchison, W.L.; Goforth, J.H.; Lindemuth, I.R.; Reinovsky, R.E.

1999-06-28T23:59:59.000Z

439

Bayesian Neural Networks for Uncertainty Analysis of Hydrologic Modeling: A Comparison of Two Schemes  

SciTech Connect

Bayesian Neural Networks (BNNs) have been shown as useful tools to analyze modeling uncertainty of Neural Networks (NNs). This research focuses on the comparison of two BNNs. The first BNNs (BNN-I) use statistical methods to describe the characteristics of different uncertainty sources (input, parameter, and model structure) and integrate these uncertainties into a Markov Chain Monte Carlo (MCMC) framework to estimate total uncertainty. The second BNNs (BNN-II) lump all uncertainties into a single error term (i.e. the residual between model prediction and measurement). In this study, we propose a simple BNN-II, which use Genetic Algorithms (GA) and Bayesian Model Averaging (BMA) to calibrate Neural Networks with different structures (number of hidden units) and combine the predictions from different NNs to derive predictions and uncertainty analysis. We tested these two BNNs in two watersheds for daily and monthly hydrologic simulation. The BMA based BNNs developed in this study outperforms BNN-I in the two watersheds in terms of both accurate prediction and uncertainty estimation. These results show that, given incomplete understanding of the characteristics associated with each uncertainty source, the simple lumped error approach may yield better prediction and uncertainty estimation.

Zhang, Xuesong; Zhao, Kaiguang

2012-06-01T23:59:59.000Z

440

Using a Bayesian framework and global sensitivity analysis to identify strengths and weaknesses of two process-based models differing in representation of autotrophic respiration  

Science Conference Proceedings (OSTI)

Process-based models are powerful tools for sustainable and adaptive forest management. Bayesian statistics and global sensitivity analysis allow to reduce uncertainties in parameters and outputs, and they provide better insight of model behaviour. In ... Keywords: 3-PG, Bayesian calibration, Bayesian model comparison, Carbon cycle, Global sensitivity analysis, Morris screening, Net primary production, Respiration, Uncertainty analysis

F. Minunno; M. Van Oijen; D. R. Cameron; S. Cerasoli; J. S. Pereira; M. Tomé

2013-04-01T23:59:59.000Z

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441

Energy variational analysis of ions in water and channels: Field theory for primitive models of complex ionic fluids  

E-Print Network (OSTI)

Energy variational analysis of ions in water and channels: Field theory for primitive models EnVarA energy variational analysis that combines Hamilton's least action and Rayleigh's dissipation, and ion channels. Flows are driven by a combination of electrical and chemical potentials that depend

Liu, Chun

442

A comparison of two data analysis techniques and their applications for modeling the carbon dioxide capture process  

Science Conference Proceedings (OSTI)

Improving the efficiency of the carbon dioxide (CO"2) capture process requires a good understanding of the intricate relationships among parameters involved in the process. The objective of this research is to study the nature of relationships among ... Keywords: CO2 capture process, Data modeling, Neural network, Sensitivity analysis, Statistical analysis

Yuxiang Wu; Qing Zhou; Christine W. Chan

2010-12-01T23:59:59.000Z

443

A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran  

Science Conference Proceedings (OSTI)

Conventional super-efficiency data envelopment analysis (DEA) models require the exact information of inputs or outputs. However, in many real world applications this simple assumption does not hold. Stochastic super-efficiency is one of recent methods ... Keywords: Data envelopment analysis, Rank, Robust optimization, Uncertainty

S. J. Sadjadi; H. Omrani; S. Abdollahzadeh; M. Alinaghian; H. Mohammadi

2011-09-01T23:59:59.000Z

444

Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint  

DOE Green Energy (OSTI)

Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

2010-12-01T23:59:59.000Z

445

Uncertainty and sensitivity analysis of early exposure results with the MACCS Reactor Accident Consequence Model  

Science Conference Proceedings (OSTI)

Uncertainty and sensitivity analysis techniques based on Latin hypercube sampling, partial correlation analysis and stepwise regression analysis are used in an investigation with the MACCS model of the early health effects associated with a severe accident at a nuclear power station. The primary purpose of this study is to provide guidance on the variables to be considered in future review work to reduce the uncertainty in the important variables used in the calculation of reactor accident consequences. The effects of 34 imprecisely known input variables on the following reactor accident consequences are studied: number of early fatalities, number of cases of prodromal vomiting, population dose within 10 mi of the reactor, population dose within 1000 mi of the reactor, individual early fatality probability within 1 mi of the reactor, and maximum early fatality distance. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: scaling factor for horizontal dispersion, dry deposition velocity, inhalation protection factor for nonevacuees, groundshine shielding factor for nonevacuees, early fatality hazard function alpha value for bone marrow exposure, and scaling factor for vertical dispersion.

Helton, J.C. [Arizona State Univ., Tempe, AZ (United States); Johnson, J.D. [GRAM, Inc., Albuquerque, NM (United States); McKay, M.D. [Los Alamos National Lab., NM (United States); Shiver, A.W.; Sprung, J.L. [Sandia National Labs., Albuquerque, NM (United States)

1995-01-01T23:59:59.000Z

446

Development of a natural gas systems analysis model (GSAM). Annual report, July 1994--June 1995  

SciTech Connect

North American natural gas markets have changed dramatically over the past decade. A competitive, cost-conscious production, transportation, and distribution system has emerged from the highly regulated transportation wellhead pricing structure of the 1980`s. Technology advances have played an important role in the evolution of the gas industry, a role likely to expand substantially as alternative fuel price competition and a maturing natural gas resource base force operators to maximize efficiency. Finally, significant changes continue in regional gas demand patterns, industry practices, and infrastructure needs. As the complexity of the gas system grows so does the need to evaluate and plan for alternative future resource, technology, and market scenarios. Traditional gas modeling systems focused solely on the econometric aspects of gas marketing. These systems, developed to assess a regulated industry at a high level of aggregation, rely on simple representation of complex and evolving systems, thereby precluding insight into how the industry will change over time. Credible evaluations of specific policy initiatives and research activities require a different approach. Also, the mounting pressure on energy producers from environmental compliance activities requires development of analysis that incorporates relevant geologic, engineering, and project economic details. The objective of policy, research and development (R&D), and market analysis is to integrate fundamental understanding of natural gas resources, technology, and markets to fully describe the potential of the gas resource under alternative future scenarios. This report summarizes work over the past twelve months on DOE Contract DE-AC21-92MC28138, Development of a Natural Gas Systems Analysis Model (GSAM). The products developed under this project directly support the Morgantown Energy Technology Center (METC) in carrying out its natural gas R&D mission.

NONE

1995-07-01T23:59:59.000Z

447

Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models  

Science Conference Proceedings (OSTI)

The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estima