National Library of Energy BETA

Sample records for benefit analysis modeling

  1. Biofuels National Strategic Benefits Analysis

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

    Biofuels National Strategic Benefits Analysis March 24, 2015 (Draft 382015) Strategic ... and security benefits associated with biofuels Relevance and tangible outcomes for the ...

  2. Cost Benefit Analysis Modeling Tool for Electric vs. ICE Airport Ground Support Equipment Development and Results

    SciTech Connect (OSTI)

    James Francfort; Kevin Morrow; Dimitri Hochard

    2007-02-01

    This report documents efforts to develop a computer tool for modeling the economic payback for comparative airport ground support equipment (GSE) that are propelled by either electric motors or gasoline and diesel engines. The types of GSE modeled are pushback tractors, baggage tractors, and belt loaders. The GSE modeling tool includes an emissions module that estimates the amount of tailpipe emissions saved by replacing internal combustion engine GSE with electric GSE. This report contains modeling assumptions, methodology, a users manual, and modeling results. The model was developed based on the operations of two airlines at four United States airports.

  3. Plug-in Hybrid Modeling and Application: Cost/Benefit Analysis (Presentation)

    SciTech Connect (OSTI)

    Simpson, A.

    2006-08-24

    Presents data from a simulation of plug-in hybrid electric vehicle efficiency and cost, including baseline vehicle assumptions, powertrain technology scenarios, and component modeling.

  4. Benefits of Using Logic Modeling | Department of Energy

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

    Benefits of Using Logic Modeling Benefits of Using Logic Modeling Benefits of developing and using logic models are: The model helps communicate the program to people outside the ...

  5. Modeling & Analysis

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

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

  6. Rapid Scan AERI Observations: Benefits and Analysis

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

    Rapid Scan AERI Observations: Benefits and Analysis W. F. Feltz, D. D. Turner, R. O. Knuteson, and R. G. Dedecker Space Science and Engineering Center Cooperative Institute of Mesoscale Meteorological Studies University of Wisconsin-Madison Madison, Wisconsin D. D. Turner Pacific Northwest National Laboratory Richland, Washington Introduction The U.S. Department of Energy's (DOE's) Atmospheric Radiation Measurement (ARM) Program has funded the development of the atmospheric emitted radiance

  7. SEP 2015 Cost Benefit Analysis Paper | Department of Energy

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

    Technical Assistance » Superior Energy Performance » SEP 2015 Cost Benefit Analysis Paper SEP 2015 Cost Benefit Analysis Paper sep_logo_borderless.jpg This Superior Energy Performance® (SEP(tm)) paper analyzes previously reported and newly collected data of costs and benefits associated with the implementation of an ISO 50001 and SEP certification. SEP 2015 Cost Benefit Analysis Paper (August 2015) (895.22 KB) More Documents & Publications Assessing the Costs and Benefits of the Superior

  8. Carbon Supply and Co-Benefits Analysis | Open Energy Information

    Open Energy Info (EERE)

    Carbon Supply and Co-Benefits Analysis Jump to: navigation, search TODO: find a link to a carbon supplyco-benefits analysis Retrieved from "http:en.openei.orgw...

  9. Benefits Analysis for DOE Energy Technology Portfolio Assessment: Background

    SciTech Connect (OSTI)

    Beschen, Darrell

    2006-12-20

    A presentation for the FY 2007 GPRA methodology review on benefits analysis for the DOE energy technology portfolio assessment.

  10. New DOE Modeling Tool Estimates Economic Benefits of Offshore...

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

    Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool ... of Energy (DOE) recently released a new version of the Jobs and Economic ...

  11. Cost benefit analysis for the implementation of smart metering...

    Open Energy Info (EERE)

    with pilot project (Smart Grid Project) Jump to: navigation, search Project Name Cost benefit analysis for the implementation of smart metering with pilot project Country...

  12. Chapter 2: Midterm benefits analysis of EERE's programs

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This document summarizes the results of the benefits analysis of EEREs programs, as described in the FY 2007 Budget Request.

  13. EAC Presentation: Metrics and Benefits Analysis for the ARRA...

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

    and benefits analysis for the American Recovery and Reinvestment Act smart grid programs including the Smart Grid Investment Grants and the Smart Grid Demonstration Program. ...

  14. Examining the effectiveness of municipal solid waste management systems: An integrated cost-benefit analysis perspective with a financial cost modeling in Taiwan

    SciTech Connect (OSTI)

    Weng, Yu-Chi; Fujiwara, Takeshi

    2011-06-15

    In order to develop a sound material-cycle society, cost-effective municipal solid waste (MSW) management systems are required for the municipalities in the context of the integrated accounting system for MSW management. Firstly, this paper attempts to establish an integrated cost-benefit analysis (CBA) framework for evaluating the effectiveness of MSW management systems. In this paper, detailed cost/benefit items due to waste problems are particularly clarified. The stakeholders of MSW management systems, including the decision-makers of the municipalities and the citizens, are expected to reconsider the waste problems in depth and thus take wise actions with the aid of the proposed CBA framework. Secondly, focusing on the financial cost, this study develops a generalized methodology to evaluate the financial cost-effectiveness of MSW management systems, simultaneously considering the treatment technological levels and policy effects. The impacts of the influencing factors on the annual total and average financial MSW operation and maintenance (O and M) costs are analyzed in the Taiwanese case study with a demonstrative short-term future projection of the financial costs under scenario analysis. The established methodology would contribute to the evaluation of the current policy measures and to the modification of the policy design for the municipalities.

  15. Projected Benefits of EERE's Portfolio (by program and model)

    SciTech Connect (OSTI)

    none,

    2011-11-17

    This collection of charts shows the benefits metrics for renewable energy technologies in the EERE portfolio for 2010-2050 for both the NEMS and MARKAL models.

  16. Panel 2, Modeling the Financial and System Benefits of Energy...

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

    Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems Patrick Balducci, Senior Economist, Pacific NW National Laboratory Hydrogen Energy ...

  17. Chapter 5: Long-term benefits analysis of EERE's Programs

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This chapter provides an overview of the modeling approach used in MARKAL-GPRA05 to evaluate the benefits of EERE R&D programs and technologies. The program benefits reported in this section result from comparisons of each Program Case to the Baseline Case, as modeled in MARKAL-GPRA05.

  18. Modeling & Analysis

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

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

  19. Cooling, Heating, and Power for Commercial Buildings- Benefits Analysis, April 2002

    Office of Energy Efficiency and Renewable Energy (EERE)

    An analysis of the benefits of cooling, heating, and power (CHP) technologies in commercial buildings

  20. Co-benefits Risk Assessment (COBRA) Screening Model | Open Energy...

    Open Energy Info (EERE)

    Ease of Use: Simple Website: www.epa.govstatelocalclimateresourcescobra.html Cost: Free Related Tools Applied Dynamic Analysis of the Global Economy (ADAGE) Model Simple...

  1. Vehicle technologies heavy vehicle program : FY 2008 benefits analysis, methodology and results --- final report.

    SciTech Connect (OSTI)

    Singh, M.; Energy Systems; TA Engineering

    2008-02-29

    This report describes the approach to estimating the benefits and analysis results for the Heavy Vehicle Technologies activities of the Vehicle Technologies (VT) Program of EERE. The scope of the effort includes: (1) Characterizing baseline and advanced technology vehicles for Class 3-6 and Class 7 and 8 trucks, (2) Identifying technology goals associated with the DOE EERE programs, (3) Estimating the market potential of technologies that improve fuel efficiency and/or use alternative fuels, and (4) Determining the petroleum and greenhouse gas emissions reductions associated with the advanced technologies. In FY 08 the Heavy Vehicles program continued its involvement with various sources of energy loss as compared to focusing more narrowly on engine efficiency and alternative fuels. These changes are the result of a planning effort that first occurred during FY 04 and was updated in the past year. (Ref. 1) This narrative describes characteristics of the heavy truck market as they relate to the analysis, a description of the analysis methodology (including a discussion of the models used to estimate market potential and benefits), and a presentation of the benefits estimated as a result of the adoption of the advanced technologies. The market penetrations are used as part of the EERE-wide integrated analysis to provide final benefit estimates reported in the FY08 Budget Request. The energy savings models are utilized by the VT program for internal project management purposes.

  2. Cost/benefit analysis for video security systems

    SciTech Connect (OSTI)

    1997-01-01

    Dr. Don Hush and Scott Chapman, in conjunction with the Electrical and Computer Engineering Department of the University of New Mexico (UNM), have been contracted by Los Alamos National Laboratories to perform research in the area of high security video analysis. The first phase of this research, presented in this report, is a cost/benefit analysis of various approaches to the problem in question. This discussion begins with a description of three architectures that have been used as solutions to the problem of high security surveillance. An overview of the relative merits and weaknesses of each of the proposed systems is included. These descriptions are followed directly by a discussion of the criteria chosen in evaluating the systems and the techniques used to perform the comparisons. The results are then given in graphical and tabular form, and their implications discussed. The project to this point has involved assessing hardware and software issues in image acquisition, processing and change detection. Future work is to leave these questions behind to consider the issues of change analysis - particularly the detection of human motion - and alarm decision criteria. The criteria for analysis in this report include: cost; speed; tradeoff issues in moving primative operations from software to hardware; real time operation considerations; change image resolution; and computational requirements.

  3. Runtime Tracing of The Community Earth System Model: Feasibility and Benefits

    SciTech Connect (OSTI)

    Wang, Dali [ORNL] [ORNL; Domke, Jens [ORNL] [ORNL

    2011-01-01

    Community Earth System Models (CESM) is one of US's leading earth system modeling systems, which has over decades of development history and embraced by large, active user communities. In this paper, we first review the history of CESM software development and layout the general objectives of performance analysis. Then we present an offline global community land model simulation within the CESM framework to demonstrate the procedure of runtime tracing of CESM using the Vampir toolset. Finally, we explain the benefits of runtime tracing to the general earth system modeling community. We hope those considerations can also be beneficial to many other modeling research programs involving legacy high-performance computing applications.

  4. Cost-Benefit Analysis of Plug-In Hybrid-Electric Vehicle Technology (Presentation)

    SciTech Connect (OSTI)

    Pesaran, A.; Markel, T.; Simpson, A.

    2006-10-01

    Presents a cost-benefit of analysis of plug-in hybrid electric vehicle technology, including potential petroleum use reduction.

  5. Modeling & Analysis

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

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

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

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  7. Modeling the Benefits of Storage Technologies to Wind Power

    SciTech Connect (OSTI)

    Sullivan, P.; Short, W.; Blair, N.

    2008-06-01

    Rapid expansion of wind power in the electricity sector is raising questions about how wind resource variability might affect the capacity value of wind farms at high levels of penetration. Electricity storage, with the capability to shift wind energy from periods of low demand to peak times and to smooth fluctuations in output, may have a role in bolstering the value of wind power at levels of penetration envisioned by a new Department of Energy report ('20% Wind by 2030, Increasing Wind Energy's Contribution to U.S. Electricity Supply'). This paper quantifies the value storage can add to wind. The analysis was done employing the Regional Energy Deployment System (ReEDS) model, formerly known as the Wind Deployment System (WinDS) model. ReEDS was used to estimate the cost and development path associated with 20% penetration of wind in the report. ReEDS differs from the WinDS model primarily in that the model has been modified to include the capability to build and use three storage technologies: pumped-hydroelectric storage (PHS), compressed-air energy storage (CAES), and batteries. To assess the value of these storage technologies, two pairs of scenarios were run: business-as-usual, with and without storage; 20% wind energy by 2030, with and without storage. This paper presents the results from those model runs.

  8. Cost-Benefit Analysis of Plug-In Hybrid Electric Vehicle Technology...

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentcost-benefit-analysis-plug-hybrid-ele Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible...

  9. Analysis of Potential Benefits and Costs of Updating the Commercial Building Energy Code in North Dakota

    SciTech Connect (OSTI)

    Cort, Katherine A.; Belzer, David B.; Winiarski, David W.; Richman, Eric E.

    2004-04-30

    The state of North Dakota is considering updating its commercial building energy code. This report evaluates the potential costs and benefits to North Dakota residents from updating and requiring compliance with ASHRAE Standard 90.1-2001. Both qualitative and quantitative benefits and costs are assessed in the analysis. Energy and economic impacts are estimated using the Building Loads Analysis and System Thermodynamics (BLAST simulation combined with a Life-cycle Cost (LCC) approach to assess correspodning economic costs and benefits.

  10. FreedomCAR and vehicle technologies heavy vehicle program FY 2006. Benefits analysis : methodology and results - final report.

    SciTech Connect (OSTI)

    Singh, M.; Energy Systems; TA Engineering, Inc.

    2006-01-31

    This report describes the approach to estimating benefits and the analysis results for the Heavy Vehicle Technologies activities of the Freedom Car and Vehicle Technologies (FCVT) Program of EERE. The scope of the effort includes: (1) Characterizing baseline and advanced technology vehicles for Class 3-6 and Class 7 and 8 trucks, (2) Identification of technology goals associated with the DOE EERE programs, (3) Estimating the market potential of technologies that improve fuel efficiency and/or use alternative fuels, (4) Determining the petroleum and greenhouse gas emissions reductions associated with the advanced technologies. In FY 05 the Heavy Vehicles program activity expanded its technical involvement to more broadly address various sources of energy loss as compared to focusing more narrowly on engine efficiency and alternative fuels. This broadening of focus has continued in the activities planned for FY 06. These changes are the result of a planning effort that occurred during FY 04 and 05. (Ref. 1) This narrative describes characteristics of the heavy truck market as they relate to the analysis, a description of the analysis methodology (including a discussion of the models used to estimate market potential and benefits), and a presentation of the benefits estimated as a result of the adoption of the advanced technologies. These benefits estimates, along with market penetrations and other results, are then modeled as part of the EERE-wide integrated analysis to provide final benefit estimates reported in the FY06 Budget Request.

  11. Vehicle Technologies Office Merit Review 2016: VTO Program Benefits Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation given by Argonne National Laboratory (ANL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Analysis

  12. Modeling and Analysis

    Broader source: Energy.gov [DOE]

    DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...

  13. Modeling Solar Power Plant Variability: Benefits of Geographic...

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

    times with missing data eliminated 5 Summary of Work Analysis focused on solar power variability, which can lead to issues on electric grids with high PV penetration: ...

  14. Modeling Electric Vehicle Benefits Connected to Smart Grids

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Mendes, Goncalo; Kloess, Maximillian; Cardoso, Goncalo; Mégel, Olivier; Siddiqui, Afzal

    2011-07-01

    Connecting electric storage technologies to smartgrids will have substantial implications in building energy systems. Local storage will enable demand response. Mobile storage devices in electric vehicles (EVs) are in direct competition with conventional stationary sources at the building. EVs will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In order to examine the impact of EVs on building energy costs and CO2 emissions in 2020, a distributed-energy-resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial buildings in California and example results as well as the aggregated economic and environmental benefits are reported. The research shows that considering second life of EV batteries might be very beneficial for commercial buildings.

  15. BENEFIT: A New Hybrid Approach to Energy Modeling | Department...

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

    ... Related Publications 2016 BTO Peer Review Presentation-A New Hybrid Approach to ... schematic view of the HyrdronicHeating exmample model from the Modelica Buildings Library. ...

  16. EAC Presentation: Metrics and Benefits Analysis for the ARRA Smart Grid Programs- March 10, 2011

    Broader source: Energy.gov [DOE]

    PowerPoint presentation by Joe Paladino from the Office of Electricity Delivery and Energy Reliability before the Electricity Advisory Committee (EAC) on metrics and benefits analysis for the...

  17. Freedom car and vehicle technologies heavy vehicle program : FY 2007 benefits analysis, methodology and results -- final report.

    SciTech Connect (OSTI)

    SIngh, M.; Energy Systems; TA Engineering

    2008-02-29

    This report describes the approach to estimating the benefits and analysis results for the Heavy Vehicle Technologies activities of the FreedomCar and Vehicle Technologies (FCVT) Program of EERE. The scope of the effort includes: (1) Characterizing baseline and advanced technology vehicles for Class 3-6 and Class 7 and 8 trucks, (2) Identifying technology goals associated with the DOE EERE programs, (3) Estimating the market potential of technologies that improve fuel efficiency and/or use alternative fuels, (4) Determining the petroleum and greenhouse gas emissions reductions associated with the advanced technologies. In FY 05 the Heavy Vehicles program activity expanded its technical involvement to more broadly address various sources of energy loss as compared to focusing more narrowly on engine efficiency and alternative fuels. This broadening of focus has continued in subsequent activities. These changes are the result of a planning effort that occurred during FY 04 and 05. (Ref. 1) This narrative describes characteristics of the heavy truck market as they relate to the analysis, a description of the analysis methodology (including a discussion of the models used to estimate market potential and benefits), and a presentation of the benefits estimated as a result of the adoption of the advanced technologies. The market penetrations are used as part of the EERE-wide integrated analysis to provide final benefit estimates reported in the FY07 Budget Request. The energy savings models are utilized by the FCVT program for internal project management purposes.

  18. Costs and benefits of automotive fuel economy improvement: A partial analysis

    SciTech Connect (OSTI)

    Greene, D.L.; Duleep, K.G.

    1992-03-01

    This paper is an exercise in estimating the costs and benefits of technology-based fuel economy improvements for automobiles and light trucks. Benefits quantified include vehicle cots, fuel savings, consumer`s surplus effects, the effect of reduced weight on vehicle safety, impacts on emissions of CO{sub 2} and criteria pollutants, world oil market and energy security benefits, and the transfer of wealth from US consumes to oil producers. A vehicle stock model is used to capture sales, scrappage, and vehicle use effects under three fuel price scenarios. Three alternative fuel economy levels for 2001 are considered, ranging from 32.9 to 36.5 MPG for cars and 24.2 to 27.5 MPG for light trucks. Fuel economy improvements of this size are probably cost-effective. The size of the benefit, and whether there is a benefit, strongly depends on the financial costs of fuel economy improvement and judgments about the values of energy security, emissions, safety, etc. Three sets of values for eight parameters are used to define the sensitivity of costs and benefits to key assumptions. The net present social value (1989$) of costs and benefits ranges from a cost of $11 billion to a benefit of $286 billion. The critical parameters being the discount rate (10% vs. 3%) and the values attached to externalities. The two largest components are always the direct vehicle costs and fuel savings, but these tend to counterbalance each other for the fuel economy levels examined here. Other components are the wealth transfer, oil cost savings, CO{sub 2} emissions reductions, and energy security benefits. Safety impacts, emissions of criteria pollutants, and consumer`s surplus effects are relatively minor components. The critical issues for automotive fuel economy are therefore: (1) the value of present versus future costs and benefits, (2) the values of external costs and benefits, and (3) the financially cost-effective level of MPG achievable by available technology. 53 refs.

  19. Costs and benefits of automotive fuel economy improvement: A partial analysis

    SciTech Connect (OSTI)

    Greene, D.L. ); Duleep, K.G. )

    1992-03-01

    This paper is an exercise in estimating the costs and benefits of technology-based fuel economy improvements for automobiles and light trucks. Benefits quantified include vehicle cots, fuel savings, consumer's surplus effects, the effect of reduced weight on vehicle safety, impacts on emissions of CO{sub 2} and criteria pollutants, world oil market and energy security benefits, and the transfer of wealth from US consumes to oil producers. A vehicle stock model is used to capture sales, scrappage, and vehicle use effects under three fuel price scenarios. Three alternative fuel economy levels for 2001 are considered, ranging from 32.9 to 36.5 MPG for cars and 24.2 to 27.5 MPG for light trucks. Fuel economy improvements of this size are probably cost-effective. The size of the benefit, and whether there is a benefit, strongly depends on the financial costs of fuel economy improvement and judgments about the values of energy security, emissions, safety, etc. Three sets of values for eight parameters are used to define the sensitivity of costs and benefits to key assumptions. The net present social value (1989$) of costs and benefits ranges from a cost of $11 billion to a benefit of $286 billion. The critical parameters being the discount rate (10% vs. 3%) and the values attached to externalities. The two largest components are always the direct vehicle costs and fuel savings, but these tend to counterbalance each other for the fuel economy levels examined here. Other components are the wealth transfer, oil cost savings, CO{sub 2} emissions reductions, and energy security benefits. Safety impacts, emissions of criteria pollutants, and consumer's surplus effects are relatively minor components. The critical issues for automotive fuel economy are therefore: (1) the value of present versus future costs and benefits, (2) the values of external costs and benefits, and (3) the financially cost-effective level of MPG achievable by available technology. 53 refs.

  20. Review of the WECC EDT phase 2 EIM benefits analysis and results report.

    SciTech Connect (OSTI)

    Veselka, T.D.; Poch, L.A.; Botterud, A.

    2012-04-05

    A region-wide Energy Imbalance Market (EIM) was recently proposed by the Western Electricity Coordinating Council (WECC). In order for the Western Area Power Administration (Western) to make more informed decisions regarding its involvement in the EIM, Western asked Argonne National Laboratory (Argonne) to review the EIM benefits study (the October 2011 revision) performed by Energy and Environmental Economics, Inc. (E3). Key components of the E3 analysis made use of results from a study conducted by the National Renewable Energy Laboratory (NREL); therefore, we also reviewed the NREL work. This report examines E3 and NREL methods and models used in the EIM study. Estimating EIM benefits is very challenging because of the complex nature of the Western Interconnection (WI), the variability and uncertainty of renewable energy resources, and the complex decisions and potentially strategic bidding of market participants. Furthermore, methodologies used for some of the more challenging aspects of the EIM have not yet matured. This review is complimentary of several components of the EIM study. Analysts and modelers clearly took great care when conducting detailed simulations of the WI using well-established industry tools under stringent time and budget constraints. However, it is our opinion that the following aspects of the study and the interpretation of model results could be improved upon in future analyses. The hurdle rate methodology used to estimate current market inefficiencies does not directly model the underlying causes of sub-optimal dispatch and power flows. It assumes that differences between historical flows and modeled flows can be attributed solely to market inefficiencies. However, flow differences between model results and historical data can be attributed to numerous simplifying assumptions used in the model and in the input data. We suggest that alternative approaches be explored in order to better estimate the benefits of introducing market

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

    SciTech Connect (OSTI)

    Margolis, R. M.

    2008-04-01

    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.

  2. Is it Worth it? A Comparative Analysis of Cost-Benefit Projectionsfor State Renewables Portfolio Standards

    SciTech Connect (OSTI)

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2006-06-05

    State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. Collectively, these policies now apply to almost 40% of U.S. electricity load, and may have substantial impacts on electricity markets, ratepayers, and local economies. As RPS policies have been proposed or adopted in an increasing number of states, a growing number of studies have attempted to quantify the potential impacts of these policies, focusing primarily on projecting cost impacts, but sometimes also estimating macroeconomic and environmental effects. This report synthesizes and analyzes the results and methodologies of twenty-six distinct state or utility-level RPS cost impact analyses completed since 1998 (see Figure 1 and Appendix for a complete list of the studies). Together, these studies model proposed or adopted RPS policies in seventeen different states. We highlight the key findings of these studies on the costs and benefits of RPS policies, examine the sensitivity of projected costs to model assumptions, assess the attributes of different modeling approaches, and suggest possible areas of improvement for future RPS analysis.

  3. The Benefits of 3D vs. 2D Analysis | GE Global Research

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

    Benefits of 3D vs. 2D Analysis Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) The Benefits of 3D vs. 2D Analysis Vin Smentkowski 2015.05.20 I am a research chemist and my field of research is surface characterization using a technique called Time of Flight Secondary Ion Mass Spectrometry (ToF-SIMS). About a decade ago,

  4. Cost benefit analysis of waste compaction alternatives at Lawrence Livermore National Laboratory

    SciTech Connect (OSTI)

    Not Available

    1990-11-01

    This report presents a cost benefit analysis of the potential procurement and operation of various solid waste compactors, or, of the use of commercial compaction services, for compaction of solid transuranic (TRU), low-level radioactive, hazardous, and mixed wastes at Lawrence Livermore National Laboratory (LLNL) Hazardous Waste Management (HWM) facilities. The cost benefit analysis was conducted to determine if increased compaction capacity at HWM might afford the potential for significant waste volume reduction and annual savings in material, shipping, labor, and disposal costs. In the following cost benefit analysis, capital costs and recurring costs of increased HWM compaction capabilities are considered. Recurring costs such as operating and maintenance costs are estimated based upon detailed knowledge of system parameters. When analyzing the economic benefits of enhancing compaction capabilities, continued use of the existing HWM compaction units is included for comparative purposes. In addition, the benefits of using commercial compaction services instead of procuring a new compactor system are evaluated. 31 refs., 1 fig., 6 tabs.

  5. Dynamic cable analysis models

    SciTech Connect (OSTI)

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

    1983-05-01

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

  6. Panel 2, Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems

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

    Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems Patrick Balducci, Senior Economist, Pacific NW National Laboratory Hydrogen Energy Storage for Grid and Transportation Services Workshop Sacramento, California May 14, 2014 Valuation challenges 2 Source: Lamontagne, C. 2014. Survey of Models and Tools for the Stationary Energy Storage Industry. Presentation at Infocast Storage Week. Santa Clara, CA. Transmission and Distribution planning Models lack

  7. Nonlinear analysis of LWR components: areas of investigation/benefits/recommendations

    SciTech Connect (OSTI)

    Brown, S. J.

    1980-04-01

    The purpose of this study is to identify specific topics of investigation into design procedures, design concepts, methods of analysis, testing practices, and standards which are characterized by nonlinear behavior (both geometric and material) and which are considered to offer some economic and/or technical benefits to the LWR industry (excluding piping). In this study these topics were collected, compiled, and subjectively evaluated as to their potential benefit. The topics considered to have the greatest benefit/impact potential are discussed. The topics listed are based upon the experience of ODAI and also based upon a sampling of over 100 engineers/scientists in the LWR industry. The topics of investigation were found to fall basically into three areas: component, code interpretation, and load/failure mechanism. The topics are arbitrarily reorganized into six areas of investigation: Fracture, Fatigue, Vibration/Dynamic/Seismic, Plasticity, Component/Computational Considerations, and Code Interpretation.

  8. Sandia Energy - PV Modeling & Analysis

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

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

  9. Analysis of Benefits of an Energy Imbalance Market in the NWPP

    SciTech Connect (OSTI)

    Samaan, Nader A.; Bayless, Rich; Symonds, Mark; Nguyen, Tony B.; Jin, Chunlian; Wu, Di; Diao, Ruisheng; Makarov, Yuri V.; Kannberg, Landis D.; Guo, Tao; Dennison-Leonard , Sarah; Goodenough, Mike; Schellberg, Ron; Conger, Sid; Harris, Kevin; Rarity, Matt; Wallace, Steven; Austin, Jamie; Noteboom, Rod; Van Blaricom , Tim; McRunnel, Kim; Apperson, John; Empey, Marshall; Etingov, Pavel V.; Warady, Debra; Brush, Ray; Newkirk, Joshua; Williams, Peter; Landauer, Marv; Owen, Hugh; Morter, Wayne; Haraguchi, Keli; Portouw, Jim; Downey, kathryn; Sorey, Steve; Williams, Stan; Gossa, Teyent; Kalich, Clint; Damiano, Patrick; Macarthur, Clay; Martin, Tom; Hoerner, Joe; Knudsen, Steve; Johnson, Anders; Link, Rick; Holcomb, Dennis

    2013-10-18

    The Northwest Power Pool (NWPP) Market Assessment Committee (MC) Initiative, which was officially launched on March 19, 2012, set out to explore a range of alternatives that could help the Balancing Authorities and scheduling utilities in the NWPP area address growing operational and commercial challenges affecting the regional power system. The MC formed an Analytical Team with technical representatives from each of the member Balancing Areas in the NWPP and with staff of Pacific Northwest National Laboratory (PNNL). This Analytical Team was instructed to conduct extensive studies of intra-hour operation of the NWPP system in the year 2020 and of the NWPP region with 14,671 MW of wind penetration. The effort utilized a sub-hourly production cost model (the PLEXOS® computer model) that inputs data from the Western Electricity Coordinating Council (WECC)-wide Production Cost Model (PCM) to evaluate potential production cost savings. The Analytical Team was given two general options to evaluate: •Energy Imbalance Market (EIM): establishment of an automated, organized NWPP area market for economically supplying energy imbalance within the hour. •Enhanced Market-Operational Tools (EMT) that might augment or replace an EIM. The Analytical The Analytical Team built on the WECC-wide PCM data from prior work done in the WECC and carried forward the evolution of the original WECC Transmission Expansion Planning Policy Committee (TEPPC) 2020 PC0 data base. A large number of modifications and improvements were made to this case and the data were subjected to extensive review by the team members to improve the model representation of the Northwest (NW). MC meetings that were open to the public were held for interested parties to review and provide input to the study. Results for the test, base, and sensitivity case studies performed by the MC Initiative Analytical Team indicate that there are a wide range of benefits that could be obtained from the operation of an EIM in

  10. Strategic Analysis and Modeling

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

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

  11. New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants

    Office of Energy Efficiency and Renewable Energy (EERE)

    To help developers more readily estimate the economic benefits of offshore wind plants, DOE recently released a new version of the Jobs and Economic Development Impact (JEDI) input-output modeling tool. The original tool was developed by the National Renewable Energy Laboratory to estimate the economic impacts of constructing renewable power plants. The updated version allows users to better understand the potential regional economic impacts of offshore wind development.

  12. A methodology for assessing the market benefits of alternative motor fuels: The Alternative Fuels Trade Model

    SciTech Connect (OSTI)

    Leiby, P.N.

    1993-09-01

    This report describes a modeling methodology for examining the prospective economic benefits of displacing motor gasoline use by alternative fuels. The approach is based on the Alternative Fuels Trade Model (AFTM). AFTM development was undertaken by the US Department of Energy (DOE) as part of a longer term study of alternative fuels issues. The AFTM is intended to assist with evaluating how alternative fuels may be promoted effectively, and what the consequences of substantial alternative fuels use might be. Such an evaluation of policies and consequences of an alternative fuels program is being undertaken by DOE as required by Section 502(b) of the Energy Policy Act of 1992. Interest in alternative fuels is based on the prospective economic, environmental and energy security benefits from the substitution of these fuels for conventional transportation fuels. The transportation sector is heavily dependent on oil. Increased oil use implies increased petroleum imports, with much of the increase coming from OPEC countries. Conversely, displacement of gasoline has the potential to reduce US petroleum imports, thereby reducing reliance on OPEC oil and possibly weakening OPEC`s ability to extract monopoly profits. The magnitude of US petroleum import reduction, the attendant fuel price changes, and the resulting US benefits, depend upon the nature of oil-gas substitution and the supply and demand behavior of other world regions. The methodology applies an integrated model of fuel market interactions to characterize these effects.

  13. Appendix A - GPRA06 benefits estimates: MARKAL and NEMS model baseline cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    NEMS is an integrated energy model of the U.S. energy system developed by the Energy Information Administration (EIA) for forecasting and policy analysis purposes.

  14. Application of a Tractive Energy Analysis to Quantify the Benefits of Advanced Efficiency Technologies Using Characteristic Drive Cycle Data

    SciTech Connect (OSTI)

    LaClair, Tim J

    2012-01-01

    Accurately predicting the fuel savings that can be achieved with the implementation of various technologies developed for fuel efficiency can be very challenging, particularly when considering combinations of technologies. Differences in the usage of highway vehicles can strongly influence the benefits realized with any given technology, which makes generalizations about fuel savings inappropriate for different vehicle applications. A model has been developed to estimate the potential for reducing fuel consumption when advanced efficiency technologies, or combinations of these technologies, are employed on highway vehicles, particularly medium- and heavy-duty trucks. The approach is based on a tractive energy analysis applied to drive cycles representative of the vehicle usage, and the analysis specifically accounts for individual energy loss factors that characterize the technologies of interest. This tractive energy evaluation is demonstrated by analyzing measured drive cycles from a long-haul trucking fleet and the results of an assessment of the fuel savings potential for combinations of technologies are presented. The results of this research will enable more reliable estimates of the fuel savings benefits that can be realized with particular technologies and technology combinations for individual trucking applications so that decision makers can make informed investment decisions for the implementation of advanced efficiency technologies.

  15. SDI CFD MODELING ANALYSIS

    SciTech Connect (OSTI)

    Lee, S.

    2011-05-05

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

  16. Interconnection Assessment Methodology and Cost Benefit Analysis for High-Penetration PV Deployment in the Arizona Public Service System

    SciTech Connect (OSTI)

    Baggu, Murali; Giraldez, Julieta; Harris, Tom; Brunhart-Lupo, Nicholas; Lisell, Lars; Narang, David

    2015-06-14

    In an effort to better understand the impacts of high penetrations of photovoltaic (PV) generators on distribution systems, Arizona Public Service and its partners completed a multi-year project to develop the tools and knowledge base needed to safely and reliably integrate high penetrations of utility- and residential-scale PV. Building upon the APS Community Power Project-Flagstaff Pilot, this project investigates the impact of PV on a representative feeder in northeast Flagstaff. To quantify and catalog the effects of the estimated 1.3 MW of PV that will be installed on the feeder (both smaller units at homes and large, centrally located systems), high-speed weather and electrical data acquisition systems and digital 'smart' meters were designed and installed to facilitate monitoring and to build and validate comprehensive, high-resolution models of the distribution system. These models are being developed to analyze the impacts of PV on distribution circuit protection systems (including coordination and anti-islanding), predict voltage regulation and phase balance issues, and develop volt/VAr control schemes. This paper continues from a paper presented at the 2014 IEEE PVSC conference that described feeder model evaluation and high penetration advanced scenario analysis, specifically feeder reconfiguration. This paper presents results from Phase 5 of the project. Specifically, the paper discusses tool automation; interconnection assessment methodology and cost benefit analysis.

  17. Scenarios for Benefits Analysis of Energy Research, Development,Demonstration and Deployment

    SciTech Connect (OSTI)

    Gumerman, Etan; Marnay, Chris

    2005-09-07

    For at least the last decade, evaluation of the benefits of research, development, demonstration, and deployment (RD3) by the U.S. Department of Energy has been conducted using deterministic forecasts that unrealistically presume we can precisely foresee our future 10, 25,or even 50 years hence. This effort tries, in a modest way, to begin a process of recognition that the reality of our energy future is rather one rife with uncertainty. The National Energy Modeling System (NEMS) is used by the Department of Energy's Office of Energy Efficiency and Renewable Energy (EE) and Fossil Energy (FE) for their RD3 benefits evaluation. In order to begin scoping out the uncertainty in these deterministic forecasts, EE and FE designed two futures that differ significantly from the basic NEMS forecast. A High Fuel Price Scenario and a Carbon Cap Scenario were envisioned to forecast alternative futures and the associated benefits. Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) implemented these scenarios into its version of NEMS,NEMS-LBNL, in late 2004, and the Energy Information Agency created six scenarios for FE in early 2005. The creation and implementation of the EE-FE scenarios are explained in this report. Both a Carbon Cap Scenario and a High Fuel Price Scenarios were implemented into the NEMS-LBNL. EIA subsequently modeled similar scenarios using NEMS. While the EIA and LBNL implementations were in some ways rather different, their forecasts do not significantly diverge. Compared to the Reference Scenario, the High Fuel Price Scenario reduces energy consumption by 4 percent in 2025, while in the EIA fuel price scenario (known as Scenario 4) reduction from its corresponding reference scenario (known as Scenario 0) in 2025 is marginal. Nonetheless, the 4 percent demand reduction does not lead to other cascading effects that would significantly differentiate the two scenarios. The LBNL and EIA carbon scenarios were mostly identical. The only major difference

  18. Model Analysis ToolKit

    Energy Science and Technology Software Center (OSTI)

    2015-05-15

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

  19. Hydrogen Delivery Analysis Models

    Broader source: Energy.gov [DOE]

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

  20. Hydrogen Delivery Analysis Models

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

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

  1. Consequence modeling for nuclear weapons probabilistic cost/benefit analyses of safety retrofits

    SciTech Connect (OSTI)

    Harvey, T.F.; Peters, L.; Serduke, F.J.D.; Hall, C.; Stephens, D.R.

    1998-01-01

    The consequence models used in former studies of costs and benefits of enhanced safety retrofits are considered for (1) fuel fires; (2) non-nuclear detonations; and, (3) unintended nuclear detonations. Estimates of consequences were made using a representative accident location, i.e., an assumed mixed suburban-rural site. We have explicitly quantified land- use impacts and human-health effects (e.g. , prompt fatalities, prompt injuries, latent cancer fatalities, low- levels of radiation exposure, and clean-up areas). Uncertainty in the wind direction is quantified and used in a Monte Carlo calculation to estimate a range of results for a fuel fire with uncertain respirable amounts of released Pu. We define a nuclear source term and discuss damage levels of concern. Ranges of damages are estimated by quantifying health impacts and property damages. We discuss our dispersal and prompt effects models in some detail. The models used to loft the Pu and fission products and their particle sizes are emphasized.

  2. Weighing the Costs and Benefits of Renewables Portfolio Standards:A Comparative Analysis of State-Level Policy Impact Projections

    SciTech Connect (OSTI)

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-16

    State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. Collectively, these policies now apply to roughly 40% of U.S. electricity load, and may have substantial impacts on electricity markets, ratepayers, and local economies. As RPS policies have been proposed or adopted in an increasing number of states, a growing number of studies have attempted to quantify the potential impacts of these policies, focusing primarily on projecting cost impacts, but sometimes also estimating macroeconomic and environmental effects. This report synthesizes and analyzes the results and methodologies of 28 distinct state or utility-level RPS cost impact analyses completed since 1998. Together, these studies model proposed or adopted RPS policies in 18 different states. We highlight the key findings of these studies on the costs and benefits of RPS policies, examine the sensitivity of projected costs to model assumptions, assess the attributes of different modeling approaches, and suggest possible areas of improvement for future RPS analysis.

  3. Canister Model, Systems Analysis

    Energy Science and Technology Software Center (OSTI)

    1993-09-29

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

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

    Office of Environmental Management (EM)

    Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems ...

  5. A Retrospective Analysis of the Benefits and Impacts of U.S. Renewable Portfolio Standards

    Broader source: Energy.gov [DOE]

    This is the second in a series of reports exploring the costs, benefits, and other impacts of state renewable portfolio standards (RPS), both retrospectively and prospectively. This report focuses on the benefits and impacts of all state RPS programs, in aggregate, for the year 2013 (the most-recent year for which the requisite data were available). Relying on a well-vetted set of methods, the study evaluates a number of important benefits and impacts in both physical and monetary terms, where possible, and characterizes key uncertainties. The prior study in this series focused on historical RPS compliance costs, and future work will evaluate costs, benefits, and other impacts of RPS policies prospectively.

  6. Cost-Benefit Analysis of Plug-in Hybrid Electric Vehicle Technology

    SciTech Connect (OSTI)

    Simpson, A.

    2006-11-01

    This paper presents a comparison of vehicle purchase and energy costs, and fuel-saving benefits of plug-in hybrid electric vehicles relative to hybrid electric and conventional vehicles.

  7. Retrospective Benefit-Cost Analysis of U.S. DOE's Geothermal...

    Energy Savers [EERE]

    Technical Report (1.63 MB) More Documents & Publications Retrospective Benefit-Cost Evaluation of U.S. DOE Geothermal Technologies R&D Program Investments Linkages from DOE's ...

  8. Cost-benefit analysis of cosolvent flushing to treat groundwater contamination source areas

    SciTech Connect (OSTI)

    Anason, S.L.

    1999-03-01

    Dense non-aqueous phase liquids (DNAPLs) in the zone beneath the water table can be a virtually permanent source of groundwater contamination that cannot be remediated by currently available technologies. Cosolvent flushing is a new technology that has the potential to remediate these sites and could pose a solution to the problem of DNAPL source areas. A computer model was developed to determine the cost and time to remediate an aquifer using cosolvent flushing. Included in the model is a module to calculate the costs of recycling the alcohol that is used as the cosolvent. The model was validated using site conditions to a prior study. It was determined that recycling the cosolvent allows cosolvent flushing to be a cost effective alternative to surfactant flushing, another new technology being considered for DNAPL source remediation. Sensitivity analysis of the model was conducted by varying the saturation percentage of contaminant, percentage and type of alcohol used in the cosolvent mixture, site hydraulic conductivity, and the contaminant. Five alcohols were modeled: methanol, ethanol, 1-isopropanol, 2-isopropanol, and tert-butyl-alcohol (TBA). 1-Isopropanol, 2-isopropanol, and TBA were always more expensive than methanol and ethanol.

  9. BENEFITS OF VIBRATION ANALYSIS FOR DEVELOPMENT OF EQUIPMENT IN HLW TANKS - 12341

    SciTech Connect (OSTI)

    Stefanko, D.; Herbert, J.

    2012-01-10

    Vibration analyses of equipment intended for use in the Savannah River Site (SRS) radioactive liquid waste storage tanks are performed during pre-deployment testing and has been demonstrated to be effective in reducing the life-cycle costs of the equipment. Benefits of using vibration analysis to identify rotating machinery problems prior to deployment in radioactive service will be presented in this paper. Problems encountered at SRS and actions to correct or lessen the severity of the problem are discussed. In short, multi-million dollar cost saving have been realized at SRS as a direct result of vibration analysis on existing equipment. Vibration analysis of equipment prior to installation can potentially reduce inservice failures, and increases reliability. High-level radioactive waste is currently stored in underground carbon steel waste tanks at the United States Department of Energy (DOE) Savannah River Site and at the Hanford Site, WA. Various types of rotating machinery (pumps and separations equipment) are used to manage and retrieve the tank contents. Installation, maintenance, and repair of these pumps and other equipment are expensive. In fact, costs to remove and replace a single pump can be as high as a half million dollars due to requirements for radioactive containment. Problems that lead to in-service maintenance and/or equipment replacement can quickly exceed the initial investment, increase radiological exposure, generate additional waste, and risk contamination of personnel and the work environment. Several different types of equipment are considered in this paper, but pumps provide an initial example for the use of vibration analysis. Long-shaft (45 foot long) and short-shaft (5-10 feet long) equipment arrangements are used for 25-350 horsepower slurry mixing and transfer pumps in the SRS HLW tanks. Each pump has a unique design, operating characteristics and associated costs, sometimes exceeding a million dollars. Vibration data are routinely

  10. Multi-Year Analysis Examines Costs, Benefits, and Impacts of Renewable Portfolio Standards

    SciTech Connect (OSTI)

    2016-01-01

    As states consider revising renewable portfolio standard (RPS) programs or developing new ones, careful assessments of the costs, benefits, and other impacts of existing policies will be critical. RPS programs currently exist in 29 states and Washington, D.C. Many of these policies, which were enacted largely during the late 1990s and 2000s, will reach their terminal targets by the end of this decade. The National Renewable Energy Laboratory (NREL) and Lawrence Berkeley National Laboratory (LBNL) are engaged in a multi-year project to examine the costs, benefits, and other impacts of state RPS polices both retrospectively and prospectively. This fact sheet overviews this work.

  11. Use of Residential Smart Appliances for Peak-Load Shifting and Spinning Reserves Cost/Benefit Analysis

    SciTech Connect (OSTI)

    Sastry, Chellury; Pratt, Robert G.; Srivastava, Viraj; Li, Shun

    2010-12-01

    In this report, we present the results of an analytical cost/benefit study of residential smart appliances from a utility/grid perspective in support of a joint stakeholder petition to the ENERGY STAR program within the Environmental Protection Agency (EPA) and Department of Energy (DOE). The goal of the petition is in part to provide appliance manufacturers incentives to hasten the production of smart appliances. The underlying hypothesis is that smart appliances can play a critical role in addressing some of the societal challenges, such as anthropogenic global warming, associated with increased electricity demand, and facilitate increased penetration of renewable sources of power. The appliances we consider include refrigerator/freezers, clothes washers, clothes dryers, room air-conditioners, and dishwashers. The petition requests the recognition that providing an appliance with smart grid capability, i.e., products that meet the definition of a smart appliance, is at least equivalent to a corresponding five percent in operational machine efficiencies. It is then expected that given sufficient incentives and value propositions, and suitable automation capabilities built into smart appliances, residential consumers will be adopting these smart appliances and will be willing participants in addressing the aforementioned societal challenges by more effectively managing their home electricity consumption. The analytical model we utilize in our cost/benefit analysis consists of a set of user-definable assumptions such as the definition of on-peak (hours of day, days of week, months of year), the expected percentage of normal consumer electricity consumption (also referred to as appliance loads) that can shifted from peak hours to off-peak hours, the average power rating of each appliance, etc. Based on these assumptions, we then formulate what the wholesale grid operating-cost savings, or benefits, would be if the smart capabilities of appliances were invoked, and

  12. Probabilistic cost-benefit analysis of enhanced safety features for strategic nuclear weapons at a representative location

    SciTech Connect (OSTI)

    Stephens, D.R.; Hall, C.H.; Holman, G.S.; Graham, K.F.; Harvey, T.F.; Serduke, F.J.D.

    1993-10-01

    We carried out a demonstration analysis of the value of developing and implementing enhanced safety features for nuclear weapons in the US stockpile. We modified an approach that the Nuclear Regulatory Commission (NRC) developed in response to a congressional directive that NRC assess the ``value-impact`` of regulatory actions for commercial nuclear power plants. Because improving weapon safety shares some basic objectives with NRC regulations, i.e., protecting public health and safety from the effects of accidents involving radioactive materials, we believe the NRC approach to be appropriate for evaluating weapons-safety cost-benefit issues. Impact analysis includes not only direct costs associated with retrofitting the weapon system, but also the expected costs (or economic risks) that are avoided by the action, i.e., the benefits.

  13. Three-Stage Production Cost Modeling Approach for Evaluating the Benefits of Intra-Hour Scheduling between Balancing Authorities

    SciTech Connect (OSTI)

    Samaan, Nader A.; Milligan, Michael; Hunsaker, Matthew; Guo, Tao

    2015-07-30

    This paper introduces a Production Cost Modeling (PCM) approach to evaluate the benefits of intra-hour scheduling between Balancing Authorities (BAs). The system operation is modeled in a three-stage sequential manner: day ahead (DA)-hour ahead (HA)-real time (RT). In addition to contingency reserve, each BA will need to carry out “up” and “down” load following and regulation reserve capacity requirements in the DA and HA time frames. In the real-time simulation, only contingency and regulation reserves are carried out as load following is deployed. To model current real-time operation with hourly schedules, a new constraint was introduced to force each BA net exchange schedule deviation from HA schedules to be within NERC ACE limits. Case studies that investigate the benefits of moving from hourly exchange schedules between WECC BAs into 10-min exchange schedules under two different levels of wind and solar penetration (11% and 33%) are presented.

  14. Economic and technical analysis of distributed utility benefits for hydrogen refueling stations

    SciTech Connect (OSTI)

    Iannucci, J.J.; Eyer, J.M.; Horgan, S.A.; Schoenung, S.M.

    1998-08-01

    This paper discusses the potential economic benefits of operating hydrogen refueling stations to supplying pressurized hydrogen for vehicles, and supplying distributed utility generation, transmission and distribution peaking needs to the utility. The study determined under what circumstances using a hydrogen-fueled generator as a distributed utility generation source, co-located with the hydrogen refueling station components (electrolyzer and storage), would result in cost savings to the station owner, and hence lower hydrogen production costs.

  15. A modified cost benefit analysis of coastal development (tourism) with special reference to Longbay Beach--Negril, Jamaica

    SciTech Connect (OSTI)

    Hinds, P.W.; Ngandu, M.

    1995-12-01

    The purpose of this study is to estimate the cost and benefits of the Tourist Industry in Negril over the period 1970-93, including its impact on the environment. Traditional cost benefit analysis will be used with appropriate modifications. The Long Bay stretch has been an area of rapid expansion over the last ten to twenty years. This expansion has rapidly outgrown infrastructure development and this, the potential environmental problems are already showing up in marine pollution and other forms of environmental degradation. Although there is numerous evidence of environmental impacts on tourism, there has not been a lot of work done on quantifying these impacts, and policy makers have not been ensuring that these externalities are internalized by these hotels, in an effort to make them better stewards of the environment. This study will not only look at the economic cost and benefit of the industry from the point of view of revenue and expenditure, but also the environment cost, benefit and policy recommendations necessary to accomplish this.

  16. Extending cost–benefit analysis for the sustainability impact of inter-urban Intelligent Transport Systems

    SciTech Connect (OSTI)

    Kolosz, Ben Grant-Muller, Susan

    2015-01-15

    The paper reports research involving three cost–benefit analyses performed on different ITS schemes (Active Traffic Management, Intelligent Speed Adaptation and the Automated Highway System) on one of the UK's busiest highways — the M42. The environmental scope of the assets involved is widened to take into account the possibility of new technology linked by ICT and located within multiple spatial regions. The areas focused on in the study were data centre energy emissions, the embedded emissions of the road-side infrastructure, vehicle tailpipe emissions, additional hardware required by the vehicles (if applicable) and safety, and all aspects of sustainability. Dual discounting is applied which aims to provide a separate discount rate for environmental elements. For ATM, despite the energy costs of the data centre, the initial implementation costs and mitigation costs of its embedded emissions, a high cost–benefit ratio of 5.89 is achieved, although the scheme becomes less effective later on its lifecycle due to rising costs of energy. ISA and AHS generate a negative result, mainly due to the cost of getting the vehicle on the road. In order to negate these costs, the pricing of the vehicle should be scaled depending upon the technology that is outfitted. Retrofitting on vehicles without the technology should be paid for by the driver. ATM will offset greenhouse gas emissions by 99 kt of CO{sub 2} equivalency over a 25 year lifespan. This reduction has taken into account the expected improvement in vehicle technology. AHS is anticipated to save 280 kt of CO{sub 2} equivalency over 15 years of operational usage. However, this offset is largely dependent on assumptions such as the level of market penetration. - Highlights: • Three cost–benefit analyses are applied to inter-urban intelligent transport. • For ATM, a high cost–benefit ratio of 5.89 is achieved. • ATM offsets greenhouse gas emissions by 99 kt of CO{sub 2} equivalency over 25 years.

  17. Combustion instability modeling and analysis

    SciTech Connect (OSTI)

    Santoro, R.J.; Yang, V.; Santavicca, D.A.; Sheppard, E.J.

    1995-12-31

    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.

  18. Emissions Modeling: GREET Life Cycle Analysis

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

    Emissions Modeling: GREET Life Cycle Analysis Michael Wang, Amgad Elgowainy, Jeongwoo Han ... Assumptions Approach: build LCA modeling capacity with the GREET model - Build a ...

  19. Project Benefits

    Broader source: Energy.gov [DOE]

    Benefits of the Guidelines for Home Energy Professionals project including reducing energy upgrade costs for consumers, employers, and program administrators.

  20. Cost-Benefit Analysis of Flexibility Retrofits for Coal and Gas Fueled Power Plants: August 2012 - December 2013

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

    Cost Study Manual Cost Study Manual Update 6/29/12. Memo regarding Cost Study Manual (60.85 KB) Cost Study Manual (334.89 KB) More Documents & Publications Contractor Human Resources Management QER - Comment of Energy Innovation 7 QER - Comment of Energy Innovation 6

    Cost-Benefit Analysis of Flexibility Retrofits for Coal and Gas-Fueled Power Plants August 2012 - December 2013 S. Venkataraman, G. Jordan, and M. O'Connor GE Energy Schenectady, New York N. Kumar and S. Lefton Intertek AIM

  1. Energy storage benefits and market analysis handbook : a study for the DOE Energy Storage Systems Program.

    SciTech Connect (OSTI)

    Eyer, James M.; Corey, Garth P.; Iannucci, Joseph J., Jr.

    2004-12-01

    This Guide describes a high level, technology-neutral framework for assessing potential benefits from and economic market potential for energy storage used for electric utility-related applications. In the United States use of electricity storage to support and optimize transmission and distribution (T&D) services has been limited due to high storage system cost and by limited experience with storage system design and operation. Recent improvement of energy storage and power electronics technologies, coupled with changes in the electricity marketplace, indicate an era of expanding opportunity for electricity storage as a cost-effective electric resource. Some recent developments (in no particular order) that drive the opportunity include: (1) states adoption of the renewables portfolio standard (RPS), which may increased use of renewable generation with intermittent output, (2) financial risk leading to limited investment in new transmission capacity, coupled with increasing congestion on some transmission lines, (3) regional peaking generation capacity constraints, and (4) increasing emphasis on locational marginal pricing (LMP).

  2. Practical Use of Computationally Frugal Model Analysis Methods

    SciTech Connect (OSTI)

    Hill, Mary C.; Kavetski, Dmitri; Clark, Martyn; Ye, Ming; Arabi, Mazdak; Lu, Dan; Foglia, Laura; Mehl, Steffen

    2015-03-21

    Computationally frugal methods of model analysis can provide substantial benefits when developing models of groundwater and other environmental systems. Model analysis includes ways to evaluate model adequacy and to perform sensitivity and uncertainty analysis. Frugal methods typically require 10s of parallelizable model runs; their convenience allows for other uses of the computational effort. We suggest that model analysis be posed as a set of questions used to organize methods that range from frugal to expensive (requiring 10,000 model runs or more). This encourages focus on method utility, even when methods have starkly different theoretical backgrounds. We note that many frugal methods are more useful when unrealistic process-model nonlinearities are reduced. Inexpensive diagnostics are identified for determining when frugal methods are advantageous. Examples from the literature are used to demonstrate local methods and the diagnostics. We suggest that the greater use of computationally frugal model analysis methods would allow questions such as those posed in this work to be addressed more routinely, allowing the environmental sciences community to obtain greater scientific insight from the many ongoing and future modeling efforts

  3. Practical Use of Computationally Frugal Model Analysis Methods

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

    Hill, Mary C.; Kavetski, Dmitri; Clark, Martyn; Ye, Ming; Arabi, Mazdak; Lu, Dan; Foglia, Laura; Mehl, Steffen

    2015-03-21

    Computationally frugal methods of model analysis can provide substantial benefits when developing models of groundwater and other environmental systems. Model analysis includes ways to evaluate model adequacy and to perform sensitivity and uncertainty analysis. Frugal methods typically require 10s of parallelizable model runs; their convenience allows for other uses of the computational effort. We suggest that model analysis be posed as a set of questions used to organize methods that range from frugal to expensive (requiring 10,000 model runs or more). This encourages focus on method utility, even when methods have starkly different theoretical backgrounds. We note that many frugalmore » methods are more useful when unrealistic process-model nonlinearities are reduced. Inexpensive diagnostics are identified for determining when frugal methods are advantageous. Examples from the literature are used to demonstrate local methods and the diagnostics. We suggest that the greater use of computationally frugal model analysis methods would allow questions such as those posed in this work to be addressed more routinely, allowing the environmental sciences community to obtain greater scientific insight from the many ongoing and future modeling efforts« less

  4. Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets

    SciTech Connect (OSTI)

    Fuller, Jason C.; Parker, Graham B.

    2012-12-31

    This report is the second in a series of three reports describing the potential of GE’s DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

  5. TANK48 CFD MODELING ANALYSIS

    SciTech Connect (OSTI)

    Lee, S.

    2011-05-17

    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

  6. Benefits analysis for the production of fuels and chemicals using solar thermal energy. Final report

    SciTech Connect (OSTI)

    1982-05-01

    Numerous possibilities exist for using high temperature solar thermal energy in the production of various chemicals and fuels (Sun Fuels). Research and development activities have focused on the use of feedstocks such as coal and biomass to provide synthesis gas, hydrogen, and a variety of other end-products. A Decision Analysis technique geared to the analysis of Sun Fuels options was developed. Conventional scoring methods were combined with multi-attribute utility analysis in a new approach called the Multi-Attribute Preference Scoring (MAPS) system. MAPS calls for the designation of major categories of attributes which describe critical elements of concern for the processes being examined. The six major categories include: Process Demonstration; Full-Scale Process, Feedstock; End-Product Market; National/Social Considerations; and Economics. MAPS calls for each attribute to be weighted on a simple scale for all of the candidate processes. Next, a weight is assigned to each attribute, thus creating a multiplier to be used with each individual value to derive a comparative weighting. Last, each of the categories of attributes themselves are weighted, thus creating another multiplier, for use in developing an overall score. With sufficient information and industry input, each process can be ultimately compared using a single figure of merit. After careful examination of available information, it was decided that only six of the 20 candidate processes were adequately described to allow a complete MAPS analysis which would allow direct comparisons for illustrative purposes. These six processes include three synthesis gas processes, two hydrogen and one ammonia. The remaining fourteen processes were subjected to only a partial MAPS assessment.

  7. Assessment of TEES reg sign applications for Wet Industrial Wastes: Energy benefit and economic analysis report

    SciTech Connect (OSTI)

    Elliott, D.C.; Scheer, T.H.

    1992-02-01

    Fundamental work is catalyzed biomass pyrolysis/gasification led to the Thermochemical Environmental Energy System (TEES{reg sign}) concept, a means of converting moist biomass feedstocks to high-value fuel gases such as methane. A low-temperature (350{degrees}C), pressurized (3100 psig) reaction environment and a nickel catalyst are used to reduce volumes of very high-moisture wastes such as food processing byproducts while producing useful quantities of energy. A study was conducted to assess the economic viability of a range of potential applications of the process. Cases examined included feedstocks of cheese whey, grape pomace, spent grain, and an organic chemical waste stream. The analysis indicated that only the organic chemical waste process is economically attractive in the existing energy/economic environment. However, food processing cases will become attractive as alternative disposal practices are curtailed and energy prices rise.

  8. A Locational Analysis of Generation Benefits on Long Island, NewYork

    SciTech Connect (OSTI)

    Wang, Juan; Cohen, Jesse; Edwards, Jennifer; Marnay, Chris

    2005-11-08

    Beginning in April of 2004, nine sites owned by Verizon began to participate in the Long Island Real Time Purchasing Pilot Project (LIRTP) as retail choice customers. LIRTP was designed to minimize electricity costs for retail customers who own on-site distributed generation (DG) units in the near-term, and to stabilize overall electricity costs in the long-term. The nine Verizon buildings have two types of DG units: gas turbines with an estimated generation cost of $156/MWh, and diesel units with an estimated cost of $120/MWh. Due to total site emission limits, the operable hours of the DG units are limited. To estimate the economic value of running on-site DG units, an analysis of the New York Independent System Operator (NYISO) Locational Based Marginal Price (LBMP) data for Long Island was conducted, mainly covering the summer months from 2000 to 2004. Distributions of LBMP, relationship between LBMP and load, and estimates of profitable operating hours for the units were all analyzed. Since Long Island is a diverse and highly congested area, LBMP varies greatly. Looking at the data statistically offers a zone-wide viewpoint, while using spatial analysis shows the LBMP intrazonal differentiation. LBMP is currently used by NYISO for pricing in the 11 NY control zones. Because geographic information systems (GIS) visualize the distribution of a phenomenon over space, it clarifies where load and generation nodes are located, and where load reduction would be most valuable. This study is based on the assumption that the control zone areas do not fully represent the diversity of pricing, and that intrazonal pricing can be analyzed to determine where and when electricity conservation or injection into the network is most valuable.

  9. Techno-Economic Modeling, Analysis, and Support

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

    Techno-Economic Modeling, Analysis, and Support - Sandia ... Transportation Energy Co-Evolution of Biofuels ... Biological and Environmental Research Collaborations ...

  10. Aqueous nitrate waste treatment: Technology comparison, cost/benefit, and market analysis

    SciTech Connect (OSTI)

    Not Available

    1994-01-01

    The purpose of this analysis is to provide information necessary for the Department of Energy (DOE) to evaluate the practical utility of the Nitrate to Ammonia and Ceramic or Glass (NAC/NAG/NAX) process, which is under development in the Oak Ridge National Laboratory. The NAC/NACx/NAX process can convert aqueous radioactive nitrate-laden waste to a glass, ceramic, or grout solid waste form. The tasks include, but are not limited to, the following: Identify current commercial technologies to meet hazardous and radiological waste disposal requirements. The technologies may be thermal or non-thermal but must be all inclusive (i.e., must convert a radionuclide-containing nitrate waste with a pH around 12 to a stable form that can be disposed at permitted facilities); evaluate and compare DOE-sponsored vitrification, grouting, and minimum additive waste stabilization projects for life-cycle costs; compare the technologies above with respect to material costs, capital equipment costs, operating costs, and operating efficiencies. For the NAC/NAG/NAX process, assume aluminum reactant is government furnished and ammonia gas may be marketed; compare the identified technologies with respect to frequency of use within DOE for environmental management applications with appropriate rationale for use; Assess the potential size of the DOE market for the NAC/NAG/NAX process; assess and off-gas issues; and compare with international technologies, including life-cycle estimates.

  11. CLEERS Aftertreatment Modeling and Analysis

    SciTech Connect (OSTI)

    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.

    2012-02-08

    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.

  12. Retiree Benefits

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

    Retiree Benefits Retiree Benefits Employees and retirees are the building blocks of the Lab's success. Our employees get to contribute to the most pressing issues facing the nation. Eligibility, Enrollment» AD&D Insurance» Medicare Coordination» Non-Medicare Medical» Behavioral Health» Pension Plan (TCP1)» Medicare-Eligible Medical» Prescription Drugs» 401(k) Options» Dental, Vision, Legal» Non-Medicare retirees Plan options Insurance providers Medicare-eligible retirees Plan

  13. NREL: Energy Analysis - David Hurlbut

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

    and econometrics Optimization modeling Cost-benefit analysis Primary research interests Economic ... Data Analysis and Visualization Group Energy Forecasting and Modeling Group Market ...

  14. Retrospective Benefit-Cost Analysis of U.S. DOE's Geothermal Technologies R&D Program Investments

    Office of Energy Efficiency and Renewable Energy (EERE)

    Retrospective Benefit-Cost Evaluation of U.S. DOE Geothermal Technologies R&D Program Investments: Impacts of a Cluster of Energy Technologies, August 2010.

  15. Valuing the Environmental Benefits of Urban WaterConservation

    SciTech Connect (OSTI)

    Coughlin, Katie M.; Bolduc, Chris A.; Chan, Peter T.; Dunham-Whitehead, C.; Van Buskirk, R.D.

    2007-05-01

    This report documents a project undertaken for theCalifornia Urban Water Conservation Council (the Council) to create a newmethod of accounting for the diverse environmental benefits of raw watersavings. The environmental benefits (EB) model was designed to providewater utilities with a practical tool that they can use to assign amonetary value to the benefits that may accrue from implementing any ofthe Council-recommended Best Management Practices. The model treats onlyenvironmental services associated directly with water, and is intended tocover miscellaneous impacts that are not currently accounted for in anyother cost-benefit analysis.

  16. An Analysis of the Costs, Benefits, and Implications of Different Approaches to Capturing the Value of Renewable Energy Tax Incentives

    SciTech Connect (OSTI)

    Bolinger, Mark

    2014-04-09

    This report compares the relative costs, benefits, and implications of capturing the value of renewable energy tax benefits in these three different ways – applying them against outside income , carrying them forward in time until they can be fully absorbed internally, or monetizing them through third-party tax equity investors – to see which method is most competitive under various scenarios. It finds that under current law and late-2013 market conditions, monetization makes sense for all but the most tax-efficient project sponsors. In other words, for most project sponsors, bringing in third-party tax equity currently provides net benefits to a project.

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

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

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

  18. Cooling, Heating, and Power for Commercial Buildings - Benefits...

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

    Commercial Buildings - Benefits Analysis, April 2002 Cooling, Heating, and Power for Commercial Buildings - Benefits Analysis, April 2002 In this paper, an analysis was performed ...

  19. NREL: Sustainable NREL - Community Benefits

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

    Community Benefits Essential to the lab's sustainability efforts is helping sustain the ... to help them replicate the lab's sustainability model Educating learners at all ...

  20. H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional...

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

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

  1. System of systems modeling and analysis.

    SciTech Connect (OSTI)

    Campbell, James E.; Anderson, Dennis James; Longsine, Dennis E.; Shirah, Donald N.

    2005-01-01

    This report documents the results of an LDRD program entitled 'System of Systems Modeling and Analysis' that was conducted during FY 2003 and FY 2004. Systems that themselves consist of multiple systems (referred to here as System of Systems or SoS) introduce a level of complexity to systems performance analysis and optimization that is not readily addressable by existing capabilities. The objective of the 'System of Systems Modeling and Analysis' project was to develop an integrated modeling and simulation environment that addresses the complex SoS modeling and analysis needs. The approach to meeting this objective involved two key efforts. First, a static analysis approach, called state modeling, has been developed that is useful for analyzing the average performance of systems over defined use conditions. The state modeling capability supports analysis and optimization of multiple systems and multiple performance measures or measures of effectiveness. The second effort involves time simulation which represents every system in the simulation using an encapsulated state model (State Model Object or SMO). The time simulation can analyze any number of systems including cross-platform dependencies and a detailed treatment of the logistics required to support the systems in a defined mission.

  2. NREL: Energy Analysis - Models and Tools

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

    Printable Version Models and Tools Use models and tools developed or supported by NREL to assess, analyze, and optimize renewable energy and energy efficiency technologies for your project. Many of these tools can be applied on a global, regional, local, or project basis. NREL models and tools include several designed for the consumer or energy professional. Technology and Performance Analysis Biomass Scenario Model (BSM) Determine which supply chain changes would have the greatest potential to

  3. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Macumber, D.

    2012-10-01

    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.

  4. Multi-Year Analysis Examines Costs, Benefits, and Impacts of Renewable Portfolio Standards (Fact Sheet), NREL National Renewable Energy Laboratory)

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

    states consider revising renewable portfolio standard (RPS) programs or developing new ones, careful assessments of the costs, benefits, and other impacts of existing policies will be critical. RPS programs currently exist in 29 states and Washington, D.C. Many of these policies, which were enacted largely during the late 1990s and 2000s, will reach their terminal targets by the end of this decade. The National Renewable Energy Laboratory (NREL) and Lawrence Berkeley National Laboratory (LBNL)

  5. An Analysis of the Costs, Benefits, and Implications of Different Approaches to Capturing the Value of Renewable Energy Tax Incentives

    Broader source: Energy.gov [DOE]

    This report compares the costs, benefits, and implications of capturing the value of renewable energy tax incentives in three different ways – applying them against outside income, carrying them forward in time until they can be absorbed internally, or monetizing them through third-party tax equity investors – to see which method is most competitive under various scenarios. It finds that under late-2013 market conditions, monetization makes sense for all but the most tax-efficient project sponsors. Under a variety of plausible future policy scenarios relevant to wind and solar projects, however, the benefit of monetization no longer outweighs the high cost of tax equity, and it makes more sense for sponsors – even those without tax appetite – to use tax benefits internally rather than to monetize them. These findings have implications for how wind and solar projects are likely to be financed in the future, which, in turn, influences their LCOE. For example, under these scenarios, many wind and solar projects would likely forego tax equity in favor of cheaper sources of capital. This shift to lower-cost capital would, in turn, partially mitigate any negative impact on LCOE resulting from the policy change itself (e.g., in the case of tax credit expiration).

  6. Development of a gas systems analysis model (GSAM)

    SciTech Connect (OSTI)

    Godec, M.L.

    1995-04-01

    The objectives of developing a Gas Systems Analysis Model (GSAM) are to create a comprehensive, non-proprietary, PC based model of domestic gas industry activity. The system is capable of assessing the impacts of various changes in the natural gas system within North America. The individual and collective impacts due to changes in technology and economic conditions are explicitly modeled in GSAM. Major gas resources are all modeled, including conventional, tight, Devonian Shale, coalbed methane, and low-quality gas sources. The modeling system asseses all key components of the gas industry, including available resources, exploration, drilling, completion, production, and processing practices, both for now and in the future. The model similarly assesses the distribution, storage, and utilization of natural gas in a dynamic market-based analytical structure. GSAM is designed to provide METC managers with a tool to project the impacts of future research, development, and demonstration (RD&D) benefits in order to determine priorities in a rapidly changing, market-driven gas industry.

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

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    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.

  8. Cost-Benefit Analysis of Flexibility Retrofits for Coal and Gas-Fueled Power Plants: August 2012 - December 2013

    SciTech Connect (OSTI)

    Venkataraman, S.; Jordan, G.; O'Connor, M.; Kumar, N.; Lefton, S.; Lew, D.; Brinkman, G.; Palchak, D.; Cochran, J.

    2013-12-01

    High penetrations of wind and solar power plants can induce on/off cycling and ramping of fossil-fueled generators. This can lead to wear-and-tear costs and changes in emissions for fossil-fueled generators. Phase 2 of the Western Wind and Solar Integration Study (WWSIS-2) determined these costs and emissions and simulated grid operations to investigate the full impact of wind and solar on the fossil-fueled fleet. This report studies the costs and benefits of retrofitting existing units for improved operational flexibility (i.e., capability to turndown lower, start and stop faster, and ramp faster between load set-points).

  9. Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM...

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

    Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results This presentation by ...

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

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

    Agenda Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda Agenda for the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 ...

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

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

    Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007, Discussion ... the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007. ...

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

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

    Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Attendees List Attendee list from the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 ...

  13. Energy Policy and Systems Analysis Presentation: Energy Modeling...

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

    Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power ...

  14. Analysis of Wind Turbine Simulation Models: Assessment of Simplified...

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

    Analysis of Wind Turbine Simulation Models: Assessment of Simplified versus Complete ... Spain, September 10-12, 2015 ANALYSIS OF WIND TURBINE SIMULATION MODELS: ASSESSMENT OF ...

  15. Modeling Analysis of Biosparging at the Sanitary Landfill (Technical...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Modeling Analysis of Biosparging at the Sanitary Landfill Citation Details In-Document Search Title: Modeling Analysis of Biosparging at the Sanitary Landfill ...

  16. Analysis and Reduction of Chemical Models under Uncertainty ...

    Office of Scientific and Technical Information (OSTI)

    Analysis and Reduction of Chemical Models under Uncertainty Citation Details In-Document Search Title: Analysis and Reduction of Chemical Models under Uncertainty Abstract not ...

  17. Technical Cost Modeling - Life Cycle Analysis Basis for Program...

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

    More Documents & Publications Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Polymer ...

  18. Technical Cost Modeling - Life Cycle Analysis Basis for Program...

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

    More Documents & Publications Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Life Cycle ...

  19. Technical Cost Modeling - Life Cycle Analysis Basis for Program...

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

    More Documents & Publications Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus ...

  20. Identification of Patient Benefit From Proton Therapy for Advanced Head and Neck Cancer Patients Based on Individual and Subgroup Normal Tissue Complication Probability Analysis

    SciTech Connect (OSTI)

    Jakobi, Annika; Bandurska-Luque, Anna; Stützer, Kristin; Haase, Robert; Löck, Steffen; Wack, Linda-Jacqueline; Mönnich, David; Thorwarth, Daniela; and others

    2015-08-01

    Purpose: The purpose of this study was to determine, by treatment plan comparison along with normal tissue complication probability (NTCP) modeling, whether a subpopulation of patients with head and neck squamous cell carcinoma (HNSCC) could be identified that would gain substantial benefit from proton therapy in terms of NTCP. Methods and Materials: For 45 HNSCC patients, intensity modulated radiation therapy (IMRT) was compared to intensity modulated proton therapy (IMPT). Physical dose distributions were evaluated as well as the resulting NTCP values, using modern models for acute mucositis, xerostomia, aspiration, dysphagia, laryngeal edema, and trismus. Patient subgroups were defined based on primary tumor location. Results: Generally, IMPT reduced the NTCP values while keeping similar target coverage for all patients. Subgroup analyses revealed a higher individual reduction of swallowing-related side effects by IMPT for patients with tumors in the upper head and neck area, whereas the risk reduction of acute mucositis was more pronounced in patients with tumors in the larynx region. More patients with tumors in the upper head and neck area had a reduction in NTCP of more than 10%. Conclusions: Subgrouping can help to identify patients who may benefit more than others from the use of IMPT and, thus, can be a useful tool for a preselection of patients in the clinic where there are limited PT resources. Because the individual benefit differs within a subgroup, the relative merits should additionally be evaluated by individual treatment plan comparisons.

  1. Assessment of the Economic Benefits from Reactive Power Compensation

    SciTech Connect (OSTI)

    Li, Fangxing; Kueck, John D; Rizy, D Tom; Tolbert, Leon M; Zhang, Wenjuan

    2006-01-01

    The U.S. power industry is under great pressure to provide reactive power or Var support. Although it is generally known that there are technical benefits for utilities and industrial customers to provide local reactive power support, a thorough quantitative investigation of the economic benefit is greatly needed. This paper seeks to provide a quantitative approach to evaluate the benefits from local reactive power compensation. This paper investigates the benefits including reduced losses, shifting reactive power flow to real power flow, and increased transfer capability. These benefits are illustrated with a simple two-bus model and then presented with a more complicated model using Optimal Power Flow. Tests are conducted on a system with seven buses in two areas. These simulations show that the economic benefits can be significant, if compared with capacity payment to central generators or power factor penalties applied to utilities. This economic value may give utilities a better understanding of the Var benefits to assist their cost-benefit analysis for Var compensation. In addition, since the economic benefits are significant, this paper suggests that the future reactive power market should consider local Var providers.

  2. Scenario Evaluation and Regionalization Analysis (SERA) Model

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

    Evaluation and Regionalization Analysis (SERA) Model (National Renewable Energy Laboratory) Objectives Determine optimal regional infrastructure development patterns for hydrogen and other transportation fuels, given resource availability and technology cost estimates. Geospatially and temporally resolve the expansion of production, transmission, and distribution infrastructure components. Identify and characterize niche markets and synergies related to refueling station placement and early fuel

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

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

    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 ...

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

    Energy Savers [EERE]

    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 ...

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

    Office of Environmental Management (EM)

    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 ...

  6. Employee Benefit Options

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

    Benefit Options Employee Benefit Options A comprehensive benefits package with plan options for health care and retirement to take care of our employees today and tomorrow. December 14, 2012 TA-3 in the winter Contact Benefits Office 667-1806 Email Employee Benefit Options On behalf of the LANS Benefits Team, welcome to the Los Alamos National Laboratory! Our employees are our greatest asset, which is why we provide a comprehensive benefits package that offers health coverage for you and your

  7. Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda |

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

    Department of Energy Agenda Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda Agenda for the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 deliv_analysis_agenda.pdf (77.66 KB) More Documents & Publications Hydrogen Delivery Analysis Models Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts, Invited Guests Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Attendees List

  8. Cryogenic Current Lead Analysis Model Program

    Energy Science and Technology Software Center (OSTI)

    1992-01-01

    CCLAMP was developed to provide a tool for tha analysis of superconducting or normal current leads used to supply electricity from a warm interface (usually room temperature) to a device at cryogenic temperatures. It determines the heat leak to the cryogenic connection and the mass flow of the cryogen (typically helium) for the lead and installation modelled. It may be used to thermally optimize a lead design for a particular application. The user provides relevantmore » geometry details to model the electrical (length, diameter, superconducting length) and heat exchanger design of the lead (heat transfer coefficient, heat transfer area). It has a transient analysis capability so that lead transients such as cool down, current ramping, flow disruptions, and control simulations can be performed.« less

  9. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling

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

    and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. | Department of Energy Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S. Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of

  10. Hydrogen Delivery Scenario Analysis Model (HDSAM)

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

    Scenario Analysis Model (HDSAM) (Argonne National Laboratory) Objectives Provide platform for comparing the cost of alternative hydrogen delivery and refueling options. Identify cost drivers of current hydrogen delivery and refueling technologies for various market penetrations of fuel cell electric vehicles (FCEVs). Key Attributes & Strengths The tool is highly flexible, allowing end users the ability to change many detailed input assumptions and to perform sensitivity analyses. HDSAM

  11. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-08-01

    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.

  12. National and Regional Water and Wastewater Rates For Use inCost-Benefit Models and Evaluations of Water Efficiency Programs

    SciTech Connect (OSTI)

    Fisher, Diane C.; Whitehead, Camilla Dunham; Melody, Moya

    2006-09-01

    Calculating the benefits and costs of water conservation orefficiency programs requires knowing the marginal cost of the water andwastewater saved by those programs. Developing an accurate picture of thepotential cost savings from water conservation requires knowing the costof the last few units of water consumed or wastewater released, becausethose are the units that would be saved by increased water efficiency.This report describes the data we obtained on water and wastewater ratesand costs, data gaps we identified, and other issues related to using thedata to estimate the cost savings that might accrue from waterconservation programs. We identified three water and wastewater ratesources. Of these, we recommend using Raftelis Financial Corporation(RFC) because it: a) has the most comprehensive national coverage; and b)provides greatest detail on rates to calculate marginal rates. The figurebelow shows the regional variation in water rates for a range ofconsumption blocks. Figure 1A Marginal Rates of Water Blocks by Regionfrom RFC 2004Water and wastewater rates are rising faster than the rateof inflation. For example, from 1996 to 2004 the average water rateincreased 39.5 percent, average wastewater rate increased 37.8 percent,the CPI (All Urban) increased 20.1 percent, and the CPI (Water andSewerage Maintenance) increased 31.1 percent. On average, annualincreases were 4.3 percent for water and 4.1 percent for wastewater,compared to 2.3 percent for the All Urban CPI and 3.7 percent for the CPIfor water and sewerage maintenance. If trends in rates for water andwastewater rates continue, water-efficient products will become morevaluable and more cost-effective.

  13. Benefits & New Employees

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

    Expand Doing Business Skip navigation links Careers Find & Apply Benefits & New Employees Labor Relations Benefits & New Employees BPA understands the importance of worklife...

  14. Joint Meeting on Hydrogen Delivery Modeling and Analysis | Department of

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

    Energy Meeting on Hydrogen Delivery Modeling and Analysis Joint Meeting on Hydrogen Delivery Modeling and Analysis On May 8-9, 2007, the U.S. Department of Energy (DOE) held a meeting to review current and ongoing hydrogen delivery analysis models and related analysis work. The presentations served as a springboard for discussions on modeling assumptions, gaps, and future needs. Participants discussed proposed changes to the H2A delivery models. The discussion focused on incorporating

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

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

    List | Department of Energy Attendees List Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Attendees List Attendee list from the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 deliv_analysis_attendees.pdf (77.35 KB) More Documents & Publications DOE and FreedomCAR and Fuel Partnership Analysis Workshop Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda DOE and FreedomCAR and Fuel Partnership Analysis Workshop

  16. Assessment of TEES{reg_sign} applications for Wet Industrial Wastes: Energy benefit and economic analysis report

    SciTech Connect (OSTI)

    Elliott, D.C.; Scheer, T.H.

    1992-02-01

    Fundamental work is catalyzed biomass pyrolysis/gasification led to the Thermochemical Environmental Energy System (TEES{reg_sign}) concept, a means of converting moist biomass feedstocks to high-value fuel gases such as methane. A low-temperature (350{degrees}C), pressurized (3100 psig) reaction environment and a nickel catalyst are used to reduce volumes of very high-moisture wastes such as food processing byproducts while producing useful quantities of energy. A study was conducted to assess the economic viability of a range of potential applications of the process. Cases examined included feedstocks of cheese whey, grape pomace, spent grain, and an organic chemical waste stream. The analysis indicated that only the organic chemical waste process is economically attractive in the existing energy/economic environment. However, food processing cases will become attractive as alternative disposal practices are curtailed and energy prices rise.

  17. Bioproduct Life Cycle Analysis with the GREETTM Model

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

    Bioproduct Life Cycle Analysis with the GREET TM Model Jennifer B. Dunn Biofuel Life Cycle Analysis Team Lead Systems Assessment Group Argonne National Laboratory Biomass 2014 July ...

  18. Bioproduct Life Cycle Analysis with the GREET Model | Department...

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

    Bioeconomy Bioproduct Life Cycle Analysis with the GREETTM Model Jennifer B. Dunn, Biofuel Life Cycle Analysis Team Lead, Argonne National Laboratory PDF icon ...

  19. Projected Benefits of Federal Energy Efficiency and Renewable...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Language: English Subject: 29 ENERGY PLANNING, POLICY, AND ECONOMY benefits estimates; program benefits analysis; Government Performance and ...

  20. Program Benefits of Individual EERE Programs. FY 2010 (Technical...

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Language: English Subject: 29 ENERGY PLANNING, POLICY, AND ECONOMY; 54 ENVIRONMENTAL SCIENCES benefits estimates; program benefits analysis; ...

  1. Further development of the cleanable steel HEPA filter, cost/benefit analysis, and comparison with competing technologies

    SciTech Connect (OSTI)

    Bergman, W.; Larsen, G.; Lopez, R.; Wilson, K.; Witherell, C.; McGregor, M.

    1997-01-01

    We have made further progress in developing a cleanable steel fiber HEPA filter. We fabricated a pleated cylindrical cartridge using commercially available steel fiber media that is made with 1 {mu}m stainless steel fibers and sintered into a sheet form. Test results at the Department of Energy (DOE) Filter Test Station at Oak Ridge show the prototype filter cartridge has 99.99% efficiency for 0.3 {mu}m dioctyl phthalate (DOP) aerosols and a pressure drop of 1.5 inches. Filter loading and cleaning tests using AC Fine dust showed the filter could be repeatedly cleaned using reverse air pulses. Our analysis of commercially optimized filters suggest that cleanable steel HEPA filters need to be made from steel fibers less than 1 {mu}m, and preferably 0.5 {mu}m, to meet the standard HEPA filter requirements in production units. We have demonstrated that 0.5 {mu}m steel fibers can be produced using the fiber bundling and drawing process. The 0.5 {mu}m steel fibers are then sintered into small filter samples and tested for efficiency and pressure drop. Test results on the sample showed a penetration of 0.0015% at 0.3 {mu}m and a pressure drop of 1.15 inches at 6.9 ft/min (3.5 cm/s) velocity. Based on these results, steel fiber media can easily meet the requirements of 0.03% penetration and 1.0 inch of pressure drop by using less fibers in the media. A cost analysis of the cleanable steel HEPA filter shows that, although the steel HEPA filter costs much more than the standard glass fiber HEPA filter, it has the potential to be very cost effective because of the high disposal costs of contaminated HEPA filters. We estimate that the steel HEPA filter will save an average of $16,000 over its 30 year life. The additional savings from the clean-up costs resulting from ruptured glass HEPA filters during accidents was not included but makes the steel HEPA filter even more cost effective. We also present the results of our evaluation of competing technologies with metallic and

  2. Further development of the cleanable steel HEPA filter, cost/benefit analysis, and comparison with competing technologies

    SciTech Connect (OSTI)

    Bergman, W.; Lopez, R.; Wilson, K.

    1997-08-01

    We have made further progress in developing a cleanable steel fiber HEPA filter. We fabricated a pleated cylindrical cartridge using commercially available steel fiber media that is made with 1 {mu}m stainless steel fibers and sintered into a sheet form. Test results at the Department of Energy (DOE) Filter Test Station at Oak Ridge show the prototype filter cartridge has 99.99% efficiency for 0.3 {mu}m dioctyl phthalate (DOP) aerosols and a pressure drop of 1.5 inches. Filter loading and cleaning tests using AC Fine dust showed the filter could be repeatedly cleaned using reverse air pulses. Our analysis of commercially optimized filters suggest that cleanable steel HEPA filters need to be made from steel fibers less than 1{mu}m, and preferably 0.5 {mu}m, to meet the standard HEPA filter requirements in production units. We have demonstrated that 0.5 {mu}m steel fibers can be produced using the fiber bundling and drawing process. The 0.5 {mu}m steel fibers are then sintered into small filter samples and tested for efficiency and pressure drop. Test results on the sample showed a penetration of 0.0015 % at 0.3 {mu}m and a pressure drop of 1.15 inches at 6.9 ft/min (3.5 cm/s) velocity. Based on these results, steel fiber media can easily meet the requirements of 0.03 % penetration and 1.0 inch of pressure drop by using less fibers in the media. A cost analysis of the cleanable steel HEPA filter shows that, although the steel HEPA filter costs much more than the standard glass fiber HEPA filter, it has the potential to be very cost effective because of the high disposal costs of contaminated HEPA filters. We estimate that the steel HEPA filter will save an average of $16,000 over its 30 year life. The additional savings from the clean-up costs resulting from ruptured glass HEPA filters during accidents was not included but makes the steel HEPA filter even more cost effective. 33 refs., 28 figs., 1 tab.

  3. TSPA Model Development and Sensitivity Analysis of Processes...

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

    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 ...

  4. Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells |

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

    Department of Energy Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models and data for transparent analytical evaluations. The following fact sheets provide an overview and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells. View the Overview Fact Sheet and

  5. MODELING ANALYSIS FOR GROUT HOPPER WASTE TANK

    SciTech Connect (OSTI)

    Lee, S.

    2012-01-04

    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

  6. Chapter 1: FY 2007 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2007 Budget Request.

  7. Benefits | Jefferson Lab

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

    Benefits Jefferson Lab provides a comprehensive, balanced, and competitive benefits package to employees. The lab offers a variety of benefit options, including medical, dental, health and dependent care reimbursement accounts, and a defined contribution plan and other inclusive offerings. Jefferson Lab remains committed to providing a quality and affordable benefit programs. Detailed information of the options provided by the lab can be found by browsing the benefits webpage. You will find

  8. Benefits | Department of Energy

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

    Careers » Working Here » Benefits Benefits Enjoy First Rate Federal Career Benefits As a DOE employee, you'll have access to exceptional Federal benefits with a variety of plan options that often exceed those offered in the private sector. In addition, you'll have competitive remuneration, continuous learning opportunities, and paid time off to help you construct an enjoyable work-life balance. You'll benefit from: Great salary Recruitment incentives Personal leave (vacation) Sick leave

  9. H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional

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

    Pathway Options Analysis Results - Interim Report | Department of Energy Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional Pathway Options Analysis Results - Interim Report An in-depth comparative analysis of promising infrastructure options for hydrogen delivery and distribution to refueling stations from central, semi-central, and distributed production facilities.

  10. Benefits | Argonne National Laboratory

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

    Apply for a Job Connect with Argonne LinkedIn Facebook Twitter YouTube Google+ More Social Media Benefits With outstanding benefits, competitive pay, wellness programs and a...

  11. Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater

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

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

  12. Benefits | Department of Energy

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

    Benefits Benefits Benefits Fellowships are for two years. Fellows will receive the following benefits during each Fellowship year: Postdoctoral Stipend Fellows will receive a yearly stipend of $65,000. Stipend payments will be made monthly via electronic funds transfer into a single financial account. Health Insurance A stipend supplement will be provided to cover the cost of the individual or family health insurance plan offered by ORAU/ORISE which includes medical coverage and a prescription

  13. Benefits | Department of Energy

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

    Benefits Benefits Welcome to the Department of Energy's benefits page! There are many benefit entitlements for Federal employees and their families. Some new employees and employees converting from a temporary position to a permanent may be able to enroll in health insurance, dental insurance, vision insurance, flexible spending account, life insurance, and/or apply for long term care insurance. Your appointment type determines your eligibility for enrollment. There are specific timeframes

  14. Energy Policy and Systems Analysis Presentation: Energy Modeling 101 |

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

    Department of Energy Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power sector capacity expansion modeling, and briefly touches on other types of modeling and analytical tools available to provide data on the electric power system, including energy efficiency. Energy Modeling 101 (963.35 KB) More Documents & Publications THE VALUE OF ECONOMIC DISPATCH A REPORT TO

  15. Electricity Capacity Expansion Modeling, Analysis, and Visualization...

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

    and includes more sectors than ReEDS. For example, it includes modeling of the natural gas and coal supply markets, and a model of electricity load. The ReEDS model...

  16. A Framework to Quantify the Economic Benefit from Local VAR Compensation

    SciTech Connect (OSTI)

    Li, Fangxing; Zhang, Wenjuan; Tolbert, Leon M; Kueck, John D; Rizy, D Tom

    2008-01-01

    Abstract It is generally accepted that reactive power (or Var) compensation will bring benefits for utilities and industrial customers by providing local voltage and power factor support. However, there is a lack of a systematic approach to quantitatively identify the economic benefit. In addition, with the deregulation and restructuring, it is important to indicate the amount of benefit that each market participant may potentially receive given the right price signals. If such information can be easily obtained and presented, it will be more convenient for decision-markers to determine the cost benefit sharing of installing a Var compensator. This vision of this paper is to lay out a possible method for quantitatively evaluating the benefits from local reactive power compensation. The approach is to quantify the benefits into several categories such as reduced losses, shifting reactive power flow to real power flow, and increased transfer. The calculation of these benefits are illustrated with a simple two-bus power system model and then presented with a more complicated model using Optimal Power Flow to calculate the benefits. Simulation on the more complex system is conducted with seven buses in two areas. The simulation results show that the possible economic benefits can be significant, if compared with capacity payments to central generators or payment of power factor penalties applied by utilities. The potential economic value of local Var compensation may give various parties in electricity supply, delivery and end-use consumption a better understanding of the Var benefits to assist their cost-benefit analysis for Var compensation installation. Sensitivity analysis is also provided to illustrate that the benefits may not be monotonically increasing. Also, this paper suggests that the future reactive power market should consider local Var providers or other way to encourage load Var capability, since local Var benefit is significant.

  17. H2A Delivery Components Model and Analysis

    Broader source: Energy.gov [DOE]

    Presentation on H2A Delivery Components Model and Analysis for the DOE Hydrogen Delivery High-Pressure Tanks and Analysis Project Review Meeting held February 8-9, 2005 at Argonne National Laboratory

  18. Bioproduct Life Cycle Analysis with the GREET Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    Breakout Session 2B—Integration of Supply Chains II: Bioproducts—Enabling Biofuels and Growing the Bioeconomy Bioproduct Life Cycle Analysis with the GREET Model Jennifer B. Dunn, Biofuel Life Cycle Analysis Team Lead, Argonne National Laboratory

  19. The conservation planning analysis model. Final report

    SciTech Connect (OSTI)

    Not Available

    1993-12-31

    This paper contains the source code for a program on conservation planning analysis for residential, commercial and industrial customers.

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

    Broader source: Energy.gov [DOE]

    This presentation by Amgad Elgowainy of Argonne National Laboratory was given at the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007.

  1. MAUI: Modeling, Analysis, and Ultrafast Imaging | Argonne National...

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

    interfaces. Our goal is to integrate ultrafast time-resolved imaging with large-scale molecular dynamics modeling and in situ data analysis and visualization. This will allow...

  2. Model Analysis ToolKit (MATK), Version 0

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

    Version 0 MATK provides basic functionality to facilitate model analysis within the Python computational environment. June 19, 2015 software MATK provides basic functionality to...

  3. Physics-Based Constraints in the Forward Modeling Analysis of...

    Office of Scientific and Technical Information (OSTI)

    Image Data, (Long Version) Citation Details In-Document Search Title: Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data, (Long Version) ...

  4. Policy Analysis Modeling System (PAMS) | Open Energy Information

    Open Energy Info (EERE)

    TOOL Name: Policy Analysis Modeling System AgencyCompany Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics:...

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

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

    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 (168.95 KB) More Documents & ...

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

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

    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 (185.07 KB) More Documents & ...

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

    SciTech Connect (OSTI)

    Not Available

    2010-08-01

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

  8. Holistic data analysis and modeling poised to transform protein...

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

    Protein X-ray crystallography Holistic data analysis and modeling poised to transform protein X-ray crystallography A new 3-D modeling and data-extraction technique is about to ...

  9. System Benefits Charge

    Broader source: Energy.gov [DOE]

    New Hampshire's 1996 electric-industry restructuring legislation authorized the creation of a system benefits charge (SBC) to support energy efficiency programs and energy assistance programs for...

  10. A Legacy of Benefit

    Office of Energy Efficiency and Renewable Energy (EERE)

    Over more than three decades, FE research and development has established a legacy of significant achievement and return of value and benefits for the public funds invested.

  11. Studies Highlight Biodiesel's Benefits

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

    Golden, Colo., July 6, 1998 Two new studies highlight the benefits of biodiesel in reducing overall air pollution and in helping to reduce the United States' dependence on ...

  12. COMPETENCY MODEL ASSESSMENT DESIGN, ADMINISTRATION, AND ANALYSIS...

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

    and organizational workforce development use via gap analysis reporting A mapping of core, general, functional, and leadership competencies to various positions (Completed ...

  13. The Oil Security Metrics Model: A Tool for Evaluating the Prospective Oil Security Benefits of DOE's Energy Efficiency and Renewable Energy R&D Programs

    SciTech Connect (OSTI)

    Greene, David L; Leiby, Paul Newsome

    2006-05-01

    Energy technology R&D is a cornerstone of U.S. energy policy. Understanding the potential for energy technology R&D to solve the nation's energy problems is critical to formulating a successful R&D program. In light of this, the U.S. Congress requested the National Research Council (NRC) to undertake both retrospective and prospective assessments of the Department of Energy's (DOE's) Energy Efficiency and Fossil Energy Research programs (NRC, 2001; NRC, 2005). ("The Congress continued to express its interest in R&D benefits assessment by providing funds for the NRC to build on the retrospective methodology to develop a methodology for assessing prospective benefits." NRC, 2005, p. ES-2) In 2004, the NRC Committee on Prospective Benefits of DOE's Energy Efficiency and Fossil Energy R&D Programs published a report recommending a new framework and principles for prospective benefits assessment. The Committee explicitly deferred the issue of estimating security benefits to future work. Recognizing the need for a rigorous framework for assessing the energy security benefits of its R&D programs, the DOE's Office of Energy Efficiency and Renewable Energy (EERE) developed a framework and approach for defining energy security metrics for R&D programs to use in gauging the energy security benefits of their programs (Lee, 2005). This report describes methods for estimating the prospective oil security benefits of EERE's R&D programs that are consistent with the methodologies of the NRC (2005) Committee and that build on Lee's (2005) framework. Its objective is to define and implement a method that makes use of the NRC's typology of prospective benefits and methodological framework, satisfies the NRC's criteria for prospective benefits evaluation, and permits measurement of that portion of the prospective energy security benefits of EERE's R&D portfolio related to oil. While the Oil Security Metrics (OSM) methodology described in this report has been specifically developed to

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

    SciTech Connect (OSTI)

    Blair, N.

    2008-04-01

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

  15. Alternative methods to determine headwater benefits

    SciTech Connect (OSTI)

    Bao, Y.S.; Perlack, R.D.; Sale, M.J.

    1997-11-10

    In 1992, the Federal Energy Regulatory Commission (FERC) began using a Flow Duration Analysis (FDA) methodology to assess headwater benefits in river basins where use of the Headwater Benefits Energy Gains (HWBEG) model may not result in significant improvements in modeling accuracy. The purpose of this study is to validate the accuracy and appropriateness of the FDA method for determining energy gains in less complex basins. This report presents the results of Oak Ridge National Laboratory`s (ORNL`s) validation of the FDA method. The validation is based on a comparison of energy gains using the FDA method with energy gains calculated using the MWBEG model. Comparisons of energy gains are made on a daily and monthly basis for a complex river basin (the Alabama River Basin) and a basin that is considered relatively simple hydrologically (the Stanislaus River Basin). In addition to validating the FDA method, ORNL was asked to suggest refinements and improvements to the FDA method. Refinements and improvements to the FDA method were carried out using the James River Basin as a test case.

  16. Cell Analysis, Modeling, and Prototyping Facility | Argonne National

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

    Laboratory Cell Analysis, Modeling, and Prototyping Facility The goal of Argonne's Cell Analysis, Modeling, and Prototyping (CAMP) Facility is to design, fabricate, and characterize high-quality prototype cells using the latest discoveries in high-energy anode and cathode battery materials created at Argonne and in research labs around the world. PDF icon CAMP_Facility_fact_sheet

  17. Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus |

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

    Department of Energy 1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation lm001_das_2011_o.pdf (305.88 KB) More Documents & Publications Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Multi-Material Joining: Challenges and Opportunities

  18. NREL: Energy Analysis - Models and Tools Archive

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

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

  19. Energy Infrastructure Modeling and Analysis (EIMA) | Department...

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

    causes, have demonstrated a need for real-time status of the electric grid and energy ... Through its visualization tools and analysis, OE is able to provide real-time assessments ...

  20. Analysis of Modeling Parameters on Threaded Screws.

    SciTech Connect (OSTI)

    Vigil, Miquela S.; Brake, Matthew Robert; Vangoethem, Douglas

    2015-06-01

    Assembled mechanical systems often contain a large number of bolted connections. These bolted connections (joints) are integral aspects of the load path for structural dynamics, and, consequently, are paramount for calculating a structure's stiffness and energy dissipation prop- erties. However, analysts have not found the optimal method to model appropriately these bolted joints. The complexity of the screw geometry cause issues when generating a mesh of the model. This paper will explore different approaches to model a screw-substrate connec- tion. Model parameters such as mesh continuity, node alignment, wedge angles, and thread to body element size ratios are examined. The results of this study will give analysts a better understanding of the influences of these parameters and will aide in finding the optimal method to model bolted connections.

  1. Sensitivity Analysis of the Gap Heat Transfer Model in BISON.

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Schmidt, Rodney C.; Williamson, Richard; Perez, Danielle

    2014-10-01

    This report summarizes the result of a NEAMS project focused on sensitivity analysis of the heat transfer model in the gap between the fuel rod and the cladding used in the BISON fuel performance code of Idaho National Laboratory. Using the gap heat transfer models in BISON, the sensitivity of the modeling parameters and the associated responses is investigated. The study results in a quantitative assessment of the role of various parameters in the analysis of gap heat transfer in nuclear fuel.

  2. Reduced order model based on principal component analysis for process simulation and optimization

    SciTech Connect (OSTI)

    Lang, Y.; Malacina, A.; Biegler, L.; Munteanu, S.; Madsen, J.; Zitney, S.

    2009-01-01

    It is well-known that distributed parameter computational fluid dynamics (CFD) models provide more accurate results than conventional, lumped-parameter unit operation models used in process simulation. Consequently, the use of CFD models in process/equipment co-simulation offers the potential to optimize overall plant performance with respect to complex thermal and fluid flow phenomena. Because solving CFD models is time-consuming compared to the overall process simulation, we consider the development of fast reduced order models (ROMs) based on CFD results to closely approximate the high-fidelity equipment models in the co-simulation. By considering process equipment items with complicated geometries and detailed thermodynamic property models, this study proposes a strategy to develop ROMs based on principal component analysis (PCA). Taking advantage of commercial process simulation and CFD software (for example, Aspen Plus and FLUENT), we are able to develop systematic CFD-based ROMs for equipment models in an efficient manner. In particular, we show that the validity of the ROM is more robust within well-sampled input domain and the CPU time is significantly reduced. Typically, it takes at most several CPU seconds to evaluate the ROM compared to several CPU hours or more to solve the CFD model. Two case studies, involving two power plant equipment examples, are described and demonstrate the benefits of using our proposed ROM methodology for process simulation and optimization.

  3. Eligibility for Retiree Benefits

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

    Eligibility, Enrollment for Retiree Benefits Age + years of service determines eligibility ... must: be at least age 50 with at least 10 years of applicable service credits; or have at ...

  4. MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS

    SciTech Connect (OSTI)

    Ronald L. Boring; Donald D. Dudenhoeffer; Bruce P. Hallbert; Brian F. Gore

    2006-05-01

    This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.

  5. Physics-based constraints in the forward modeling analysis of...

    Office of Scientific and Technical Information (OSTI)

    Conference: Physics-based constraints in the forward modeling analysis of time-correlated image data Citation Details In-Document Search Title: Physics-based constraints in the ...

  6. Physics-Based Constraints in the Forward Modeling Analysis of...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data, (Long Version) Citation Details In-Document Search Title: Physics-Based ...

  7. Chapter 1: Estimating prospective benefits of EERE's portfolio

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  8. Appendix C: Biomass Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  9. Integrated dynamic modeling and management system mission analysis

    SciTech Connect (OSTI)

    Lee, A.K.

    1994-12-28

    This document summarizes the mission analysis performed on the Integrated Dynamic Modeling and Management System (IDMMS). The IDMMS will be developed to provide the modeling and analysis capability required to understand the TWRS system behavior in terms of the identified TWRS performance measures. The IDMMS will be used to demonstrate in a verified and validated manner the satisfactory performance of the TWRS system configuration and assurance that the requirements have been satisfied.

  10. Compartmentalization analysis using discrete fracture network models

    SciTech Connect (OSTI)

    La Pointe, P.R.; Eiben, T.; Dershowitz, W.; Wadleigh, E.

    1997-08-01

    This paper illustrates how Discrete Fracture Network (DFN) technology can serve as a basis for the calculation of reservoir engineering parameters for the development of fractured reservoirs. It describes the development of quantitative techniques for defining the geometry and volume of structurally controlled compartments. These techniques are based on a combination of stochastic geometry, computational geometry, and graph the theory. The parameters addressed are compartment size, matrix block size and tributary drainage volume. The concept of DFN models is explained and methodologies to compute these parameters are demonstrated.

  11. Health Benefits of Particle Filtration

    SciTech Connect (OSTI)

    Fisk, William J.

    2013-10-01

    The evidence of health benefits of particle filtration in homes and commercial buildings is reviewed. Prior reviews of papers published before 2000 are summarized. The results of 16 more recent intervention studies are compiled and analyzed. Also, reviewed are four studies that modeled health benefits of using filtration to reduce indoor exposures to particles from outdoors. Prior reviews generally concluded that particle filtration is, at best, a source of small improvements in allergy and asthma health effects; however, many early studies had weak designs. A majority of recent intervention studies employed strong designs and more of these studies report statistically significant improvements in health symptoms or objective health outcomes, particularly for subjects with allergies or asthma. The percent age improvement in health outcomes is typically modest, for example, 7percent to 25percent. Delivery of filtered air to the breathing zone of sleeping allergic or asthmatic persons may be more consistently effective in improving health than room air filtration. Notable are two studies that report statistically significant improvements, with filtration, in markers that predict future adverse coronary events. From modeling, the largest potential benefits of indoor particle filtration may be reductions in morbidity and mortality from reducing indoor exposures to particles from outdoor air.

  12. Product Lifecycle Management Architecture: A Model Based Systems Engineering Analysis.

    SciTech Connect (OSTI)

    Noonan, Nicholas James

    2015-07-01

    This report is an analysis of the Product Lifecycle Management (PLM) program. The analysis is centered on a need statement generated by a Nuclear Weapons (NW) customer. The need statement captured in this report creates an opportunity for the PLM to provide a robust service as a solution. Lifecycles for both the NW and PLM are analyzed using Model Based System Engineering (MBSE).

  13. Materials Analysis and Modeling of Underfill Materials.

    SciTech Connect (OSTI)

    Wyatt, Nicholas B; Chambers, Robert S.

    2015-08-01

    The thermal-mechanical properties of three potential underfill candidate materials for PBGA applications are characterized and reported. Two of the materials are a formulations developed at Sandia for underfill applications while the third is a commercial product that utilizes a snap-cure chemistry to drastically reduce cure time. Viscoelastic models were calibrated and fit using the property data collected for one of the Sandia formulated materials. Along with the thermal-mechanical analyses performed, a series of simple bi-material strip tests were conducted to comparatively analyze the relative effects of cure and thermal shrinkage amongst the materials under consideration. Finally, current knowledge gaps as well as questions arising from the present study are identified and a path forward presented.

  14. Geometric Modeling, Radiation Simulation, Rendering, Analysis Package

    Energy Science and Technology Software Center (OSTI)

    1995-01-17

    RADIANCE is intended to aid lighting designers and architects by predicting the light levels and appearance of a space prior to construction. The package includes programs for modeling and translating scene geometry, luminaire data and material properties, all of which are needed as input to the simulation. The lighting simulation itself uses ray tracing techniques to compute radiance values (ie. the quantity of light passing through a specific point in a specific direction), which aremore » typically arranged to form a photographic quality image. The resulting image may be analyzed, displayed and manipulated within the package, and converted to other popular image file formats for export to other packages, facilitating the production of hard copy output.« less

  15. Integration of Advanced Probabilistic Analysis Techniques with Multi-Physics Models

    SciTech Connect (OSTI)

    Cetiner, Mustafa Sacit; none,; Flanagan, George F.; Poore III, Willis P.; Muhlheim, Michael David

    2014-07-30

    An integrated simulation platform that couples probabilistic analysis-based tools with model-based simulation tools can provide valuable insights for reactive and proactive responses to plant operating conditions. The objective of this work is to demonstrate the benefits of a partial implementation of the Small Modular Reactor (SMR) Probabilistic Risk Assessment (PRA) Detailed Framework Specification through the coupling of advanced PRA capabilities and accurate multi-physics plant models. Coupling a probabilistic model with a multi-physics model will aid in design, operations, and safety by providing a more accurate understanding of plant behavior. This represents the first attempt at actually integrating these two types of analyses for a control system used for operations, on a faster than real-time basis. This report documents the development of the basic communication capability to exchange data with the probabilistic model using Reliability Workbench (RWB) and the multi-physics model using Dymola. The communication pathways from injecting a fault (i.e., failing a component) to the probabilistic and multi-physics models were successfully completed. This first version was tested with prototypic models represented in both RWB and Modelica. First, a simple event tree/fault tree (ET/FT) model was created to develop the software code to implement the communication capabilities between the dynamic-link library (dll) and RWB. A program, written in C#, successfully communicates faults to the probabilistic model through the dll. A systems model of the Advanced Liquid-Metal Reactor–Power Reactor Inherently Safe Module (ALMR-PRISM) design developed under another DOE project was upgraded using Dymola to include proper interfaces to allow data exchange with the control application (ConApp). A program, written in C+, successfully communicates faults to the multi-physics model. The results of the example simulation were successfully plotted.

  16. NREL: Energy Analysis - Jobs and Economic Development Impact (JEDI) Models

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

    Analysis Printable Version JEDI Fact Sheet The cover of JEDI: Jobs and Economic Development Impacts Model factsheet. PDF 563 KB The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local and state levels. First developed by NREL's WINDExchange program to model wind energy impacts, JEDI has been expanded to analyze biofuels, coal, concentrating solar power,

  17. Benefits Forms & Required Notices

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

    Benefits Forms & Required Notices Benefits Forms & Required Notices A comprehensive benefits package with plan options for health care and retirement to take care of our employees today and tomorrow. Contacts Benefits Office (505) 667-1806 Email Benefits Forms & Required Notices Forms Benefits Enrollment Form, 1751a (pdf) Declaration of Domestic Partnership, 1925a (pdf) Declaration of Legal Ward as Eligible Dependent, 3028 (pdf) Declaration that Enrolled Dependent Meets IRS

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

    SciTech Connect (OSTI)

    Not Available

    1991-12-31

    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.

  19. INDUCTIVE VOLTAGE ADDER NETWORK ANALYSIS AND MODEL SIMPLIFICATION.

    SciTech Connect (OSTI)

    ZHANG,W.; NG, W.; PAI, C.; SANDBERG, J.; TAN, Y.; TIAN, Y.

    2007-06-17

    Inductive voltage adder topology has attracted great attentions in pulse power community for near two decades. However, there has been lack of literatures on inductive voltage adder network analysis and circuit design model. We have recently developed a simplified model and a set of simple formulas. An expanded model and more detailed analysis are presented in this paper. Our model reveals the relationship of output waveform parameters and hardware designs. Computer simulations have demonstrated that parameter estimation based on this approach is accurate. This approach can be used in early stages of project development to assist feasibility study, geometry selection in engineering design, and parameter selection of critical components. A set of fundamental estimation formulas including system impedance, rise time, and number of stages are presented. This approach is also applicable to induction LINAC design. In addition, the model presented in this paper shows a new topology of high voltage waveform generator.

  20. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect (OSTI)

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

    2013-12-01

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

  1. A model waste analysis plan for commercial BIF facilities

    SciTech Connect (OSTI)

    Gossmann, D.; Woodford, J.

    1997-12-31

    EPA`s guidance, to date, of Waste Analysis Plans has failed to provide specific recommendations for the special needs of commercial BIF facilities. EPA has instead focused primarily on traditional incinerator and landfill options for hazardous waste management. In order to fill this gap, a model waste analysis plan for commercial BIF facilities is developed along with the rationale for key features. 5 tabs.

  2. Sensitivity analysis of the fission gas behavior model in BISON.

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Pastore, Giovanni; Perez, Danielle; Williamson, Richard

    2013-05-01

    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.

  3. Community Wind Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-11-01

    This fact sheet explores the benefits of community wind projects, including citations to published research.

  4. PACKAGE IMPACT MODELS AS A PRECURSOR TO CLADDING ANALYSIS

    SciTech Connect (OSTI)

    Klymyshyn, Nicholas A.; Adkins, Harold E.; Bajwa, Christopher S.; Piotter, Jason

    2013-02-01

    The evaluation of spent nuclear fuel storage casks and transportation packages under impact loading is an important safety topic that is reviewed as part of cask and package certification by the United States Nuclear Regulatory Commission. Explicit dynamic finite element models of full systems are increasingly common in industry for determining structural integrity during hypothetical drop accidents. Full cask and package model results are also used as the loading basis for single fuel pin impact models, which evaluate the response of fuel cladding under drop conditions. In this paper, a simplified package system is evaluated to illustrate several important structural dynamic phenomena, including the effect of gaps between components, the difference in local response at various points on a package during impact, and the effect of modeling various simplified representations of the basket and fuel assemblies. This paper focuses on the package impact analysis, and how loading conditions for a subsequent fuel assembly or fuel cladding analysis can be extracted.

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

    SciTech Connect (OSTI)

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

    2007-05-01

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

  6. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed—NEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.

  7. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employed–NEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.

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

    SciTech Connect (OSTI)

    Downey, W T; Hendrick, P L

    1982-07-01

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

  9. Benefits Plan Reports & Notices

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

    Benefits Plan Reports & Notices Benefits Plan Reports & Notices Employees and retirees are the building blocks of the Lab's success. Our employees get to contribute to the most pressing issues facing the nation.Retiree health and welfare benefits are managed by AonHewitt and Associates. Contact Benefits Office As an employer offering ERISA compliant benefit plans, LANS is required to provide notices and reports to employees throughout the course of the year. Generally, the reports are

  10. Retrospective Benefit-Cost Evaluation of DOE Investment in Photovoltaic

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

    Energy Systems | Department of Energy Retrospective Benefit-Cost Evaluation of DOE Investment in Photovoltaic Energy Systems Retrospective Benefit-Cost Evaluation of DOE Investment in Photovoltaic Energy Systems This study is a retrospective analysis of net benefits accruing from the U.S. Department of Energy's (DOE) investment in photovoltaic (PV) technology development. The study employed a technology cluster approach. That is, benefits measured for a subset of technologies in a meaningful

  11. Human Performance Modeling for Dynamic Human Reliability Analysis

    SciTech Connect (OSTI)

    Boring, Ronald Laurids; Joe, Jeffrey Clark; Mandelli, Diego

    2015-08-01

    Part of the U.S. Department of Energy’s (DOE’s) Light Water Reac- tor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Charac- terization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk framework. In this paper, we review simulation based and non simulation based human reliability analysis (HRA) methods. This paper summarizes the founda- tional information needed to develop a feasible approach to modeling human in- teractions in RISMC simulations.

  12. Oregon Cascades Play Fairway Analysis: Raster Datasets and Models

    SciTech Connect (OSTI)

    Adam Brandt

    2015-11-15

    This submission includes maps of the spatial distribution of basaltic, and felsic rocks in the Oregon Cascades. It also includes a final Play Fairway Analysis (PFA) model, with the heat and permeability composite risk segments (CRS) supplied separately. Metadata for each raster dataset can be found within the zip files, in the TIF images

  13. VHTR Prismatic Super Lattice Model for Equilibrium Fuel Cycle Analysis

    SciTech Connect (OSTI)

    G. S. Chang

    2006-09-01

    The advanced Very High Temperature gas-cooled Reactor (VHTR), which is currently being developed, achieves simplification of safety through reliance on innovative features and passive systems. One of the VHTRs innovative features is the reliance on ceramic-coated fuel particles to retain the fission products under extreme accident conditions. The effect of the random fuel kernel distribution in the fuel prismatic block is addressed through the use of the Dancoff correction factor in the resonance treatment. However, if the fuel kernels are not perfect black absorbers, the Dancoff correction factor is a function of burnup and fuel kernel packing factor, which requires that the Dancoff correction factor be updated during Equilibrium Fuel Cycle (EqFC) analysis. An advanced Kernel-by-Kernel (K-b-K) hexagonal super lattice model can be used to address and update the burnup dependent Dancoff effect during the EqFC analysis. The developed Prismatic Super Homogeneous Lattice Model (PSHLM) is verified by comparing the calculated burnup characteristics of the double-heterogeneous Prismatic Super Kernel-by-Kernel Lattice Model (PSK-b-KLM). This paper summarizes and compares the PSHLM and PSK-b-KLM burnup analysis study and results. This paper also discusses the coupling of a Monte-Carlo code with fuel depletion and buildup code, which provides the fuel burnup analysis tool used to produce the results of the VHTR EqFC burnup analysis.

  14. Multi-State Load Models for Distribution System Analysis

    SciTech Connect (OSTI)

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

    2011-11-01

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

  15. Wind Energy Benefits: Slides

    Wind Powering America (EERE)

    1. Wind energy is cost competitive. *Wiser, R.; Bolinger, M. (2015). 2014 Wind Technologies Market Report. U.S. Department of Energy. Wind Energy Benefits Photo from DOE Flickr. 465 020 003 In 2014, the average levelized price of signed wind power purchase agreements was about 2.35 cents per kilowatt-hour. This price is cost competitive with new gas-fired power plants and projects compare favorably through 2040.* 2. Wind energy creates jobs. American Wind Energy Association. (2015). U.S. Wind

  16. DOE - Office of Legacy Management -- Rocky Benefits

    Office of Legacy Management (LM)

    Colorado > Rocky Benefits Rocky Flats Site, Colorado Benefits Administration Rocky Flats Benefits Administration Rocky Flats Benefits Center P.O Box 9735 Providence, RI 02940 Phone...

  17. EAC Recommendations Regarding Emerging and Alternative Regulatory Models and Modeling Tools to Assist in Analysis (September 2014)

    Broader source: Energy.gov [DOE]

    EAC recommendations from the September 2014 meeting regarding Emerging and Alternative Regulatory Models and Modeling Tools to Assist in Analysis (September 2014)

  18. Integration of facility modeling capabilities for nuclear nonproliferation analysis

    SciTech Connect (OSTI)

    Garcia, Humberto; Burr, Tom; Coles, Garill A; Edmunds, Thomas A.; Garrett, Alfred; Gorensek, Maximilian; Hamm, Luther; Krebs, John; Kress, Reid L; Lamberti, Vincent; Schoenwald, David; Tzanos, Constantine P; Ward, Richard C

    2012-01-01

    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.

  19. INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS

    SciTech Connect (OSTI)

    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.

    2011-07-18

    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.

  20. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

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

  1. Peer Review of NRC Standardized Plant Analysis Risk Models

    SciTech Connect (OSTI)

    Anthony Koonce; James Knudsen; Robert Buell

    2011-03-01

    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.

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

    SciTech Connect (OSTI)

    Steward, D.; Penev, M.

    2010-03-30

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

  3. Anaerobic digestion analysis model: User`s manual

    SciTech Connect (OSTI)

    Ruth, M.; Landucci, R.

    1994-08-01

    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.

  4. 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

    SciTech Connect (OSTI)

    Blair, Nate; Jenkin, Thomas; Milford, James; Short, Walter; Sullivan, Patrick; Evans, David; Lieberman, Elliot; Goldstein, Gary; Wright, Evelyn; Jayaraman, Kamala R.; Venkatesh, Boddu; Kleiman, Gary; Namovicz, Christopher; Smith, Bob; Palmer, Karen; Wiser, Ryan; Wood, Frances

    2009-09-01

    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.

  5. Benchmarking analysis of three multimedia models: RESRAD, MMSOILS, and MEPAS

    SciTech Connect (OSTI)

    Cheng, J.J.; Faillace, E.R.; Gnanapragasam, E.K.

    1995-11-01

    Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a comprehensive and quantitative benchmarking analysis of three multimedia models. The three models-RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)-represent analytically based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. A list of physical/chemical/biological processes related to multimedia-based exposure and risk assessment is first presented as a basis for comparing the overall capabilities of RESRAD, MMSOILS, and MEPAS. Model design, formulation, and function are then examined by applying the models to a series of hypothetical problems. Major components of the models (e.g., atmospheric, surface water, groundwater) are evaluated separately and then studied as part of an integrated system for the assessment of a multimedia release scenario to determine effects due to linking components of the models. Seven modeling scenarios are used in the conduct of this benchmarking study: (1) direct biosphere exposure, (2) direct release to the air, (3) direct release to the vadose zone, (4) direct release to the saturated zone, (5) direct release to surface water, (6) surface water hydrology, and (7) multimedia release. Study results show that the models differ with respect to (1) environmental processes included (i.e., model features) and (2) the mathematical formulation and assumptions related to the implementation of solutions (i.e., parameterization).

  6. Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister

    SciTech Connect (OSTI)

    Wittman, Richard S.

    2013-09-20

    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.

  7. CHAPTER V. BENEFITS V-1

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

    0 350.1 9-30-96 CHAPTER V. BENEFITS V-1 1. OBJECTIVE. To ensure that contractors that perform work under cost reimbursement contracts develop employee benefit programs that will ...

  8. Revenues From Employee Benefit Programs

    Office of Energy Efficiency and Renewable Energy (EERE)

    Better Buildings Residential Network Financing and Revenue Peer Exchange Call: Revenues from Employee Benefit Programs, Call Slides and Summary, July 25, 2013, This financing and revenue peer exchange call discussed revenues from employee benefit programs.

  9. Benefit Forms | Department of Energy

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

    New Employee Orientation » Benefit Forms Benefit Forms The employment and benefits forms that you will be asked to complete as part of this orientation program can be numerous. Each, however, serves an important purpose in ensuring proper recording of your employment and benefit elections. This online program is designed to make the task a little easier. Each set of forms that you will work with has been compiled to ensure that you are only completing the essential documentation for your

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

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

    Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen Delivery, Storage and Fuel Pathway Integration Tech Teams May 8-9, 2007 ♦ Energetics Incorporated, Columbia, MD Meeting Agenda AGENDA: May 8 7:30 Arrival and Coffee 8:00 Welcome, Introductions, Purpose and Agenda: Mark Paster (DOE-HFCIT) 8:15 H2A Delivery Model Changes and Discussion: Matt Hooks (TIAX LLC), Bruce Kelly (Nexant), Jerry Gillette (ANL), Matt Ringer (NREL), Amgad Elgowainy (ANL) 8:15

  11. Quantitative Assessment of Distributed Energy Resource Benefits

    SciTech Connect (OSTI)

    Hadley, S.W.

    2003-05-22

    Distributed energy resources (DER) offer many benefits, some of which are readily quantified. Other benefits, however, are less easily quantifiable because they may require site-specific information about the DER project or analysis of the electrical system to which the DER is connected. The purpose of this study is to provide analytical insight into several of the more difficult calculations, using the PJM power pool as an example. This power pool contains most of Pennsylvania, New Jersey, Maryland, and Delaware. The techniques used here could be applied elsewhere, and the insights from this work may encourage various stakeholders to more actively pursue DER markets or to reduce obstacles that prevent the full realization of its benefits. This report describes methodologies used to quantify each of the benefits listed in Table ES-1. These methodologies include bulk power pool analyses, regional and national marginal cost evaluations, as well as a more traditional cost-benefit approach for DER owners. The methodologies cannot however determine which stakeholder will receive the benefits; that must be determined by regulators and legislators, and can vary from one location to another.

  12. Hydrogen Demand and Resource Analysis (HyDRA) Model

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

    Demand and Resource Analysis (HyDRA) Model (National Renewable Energy Laboratory) Objectives To allow analysts, decision makers, and general users to view, download, and analyze hydrogen demand, resource, and infrastructure data spatially and dynamically. Key Attributes & Strengths HyDRA is an application that has the look, feel, and functionality of a traditional client-based GIS application. Users are able to create their own spatial datasets and upload them into the HyDRA application to

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

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

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

  14. UC Davis Models: Geospatial Station Network Design Tool and Hydrogen Infrastructure Rollout Economic Analysis Model

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

    UC Davis Models Geospatial Station Network Design Tool & Hydrogen Infrastructure Rollout Economic Analysis Model (University of California-Davis) Objectives Analyze regional strategies for early rollout of hydrogen infrastructure in support of fuel cell vehicle commercialization. Estimate how many hydrogen fueling stations would be needed and how much it will cost to develop cost competitive hydrogen supply. Compare the cost of hydrogen from different types and sizes of hydrogen stations

  15. Analysis of Modeling Assumptions used in Production Cost Models for Renewable Integration Studies

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

    Analysis of Modeling Assumptions used in Production Cost Models for Renewable Integration Studies Brady Stoll, Gregory Brinkman, Aaron Townsend, and Aaron Bloom National Renewable Energy Laboratory Technical Report NREL/TP-6A20-65383 January 2016 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory

  16. Crashworthiness analysis using advanced material models in DYNA3D

    SciTech Connect (OSTI)

    Logan, R.W.; Burger, M.J.; McMichael, L.D.; Parkinson, R.D.

    1993-10-22

    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.

  17. Weighing the Costs and Benefits of State Renewables Portfolio Standards in the United States: A Comparative Analysis of State-Level Policy Impact Projections

    SciTech Connect (OSTI)

    Chen, Cliff; Wiser, Ryan; Mills, Andrew; Bolinger, Mark

    2008-01-07

    State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. As RPS policies have been proposed or adopted in an increasing number of states, a growing number of studies have attempted to quantify the potential impacts of these policies, focusing primarily on cost impacts, but sometimes also estimating macroeconomic, risk reduction, and environmental effects. This article synthesizes and analyzes the results and methodologies of 31 distinct state or utility-level RPS cost-impact analyses completed since 1998. Together, these studies model proposed or adopted RPS policies in 20 different states. We highlight the key findings of these studies on the projected costs of state RPS policies, examine the sensitivity of projected costs to model assumptions, evaluate the reasonableness of key input assumptions, and suggest possible areas of improvement for future RPS analyses. We conclude that while there is considerable uncertainty in the study results, the majority of the studies project modest cost impacts. Seventy percent of the state RPS cost studies project retail electricity rate increases of no greater than one percent. Nonetheless, there is considerable room for improving the analytic methods, and therefore accuracy, of these estimates.

  18. LOCA analysis evaluation model with TRAC-PF1/NEM

    SciTech Connect (OSTI)

    Orive Moreno, Raul; Gallego Cabezon, Ines; Garcia Sedano, Pablo

    2004-07-01

    Nowadays regulatory rules and code models development are progressing on the goal of using best-estimate approximations in applications of license. Inside this framework, IBERDROLA is developing a PWR LOCA Analysis Methodology with one double slope, by a side the development of an Evaluation Model (upper-bounding model) that covers with conservative form the different aspects from the PWR LOCA phenomenology and on the other hand, a proposal of CSAU (Code Scaling Applicability and Uncertainty) type evaluation, methodology that strictly covers the 95/95 criterion in the Peak Cladding Temperature. A structured method is established, that basically involves the following steps: 1. Selection of the Large Break LOCA like accident to analyze and of TRAC-PF1/MOD2 V99.1 NEM (PSU version) computer code like analysis tool. 2. Code Assessment, identifying the most remarkable phenomena (PIRT, Phenomena Identification and Ranking Tabulation) and estimation of a possible code deviation (bias) and uncertainties associated to the specific models that control these phenomena (critical flow mass, heat transfer, countercurrent flow, etc...). 3. Evaluation of an overall PCT uncertainty, taking into account code uncertainty, reactor initial conditions, and accident boundary conditions. Uncertainties quantification requires an excellent experiments selection that allows to define a complete evaluation matrix, and the comparison of the simulations results with the experiments measured data, as well as in the relative to the scaling of these phenomena. To simulate these experiments it was necessary to modify the original code, because it was not able to reproduce, in a qualitative way, the expected phenomenology. It can be concluded that there is a good agreement between the TRAC-PF1/NEM results and the experimental data. Once average error ({epsilon}) and standard deviation ({sigma}) for those correlations under study are obtained, these factors could be used to correct in a conservative

  19. Projected Benefits of EERE's Portfolio - FY 2011

    SciTech Connect (OSTI)

    none,

    2011-11-17

    This collection of data tables and charts shows the benefits metrics related to energy security, environmental impacts, and economic impacts for the entire EERE portfolio of renewable energy technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  20. Steady-state Analysis Model for Advanced Fuelcycle Schemes

    Energy Science and Technology Software Center (OSTI)

    2006-05-12

    The model was developed as a part of the study, "Advanced Fuel Cycles and Waste Management", which was performed during 2003—2005 by an ad-hoc expert group under the Nuclear Development Committee in the OECD/NEA. The model was designed for an efficient conduct of nuclear fuel cycle scheme cost analyses. It is simple, transparent and offers users the capability to track down the cost analysis results. All the fuel cycle schemes considered in the model aremore » represented in a graphic format and all values related to a fuel cycle step are shown in the graphic interface, i.e., there are no hidden values embedded in the calculations. All data on the fuel cycle schemes considered in the study including mass flows, waste generation, cost data, and other data such as activities, decay heat and neutron sources of spent fuel and high—level waste along time are included in the model and can be displayed. The user can modify easily the values of mass flows and/or cost parameters and see the corresponding changes in the results. The model calculates: front—end fuel cycle mass flows such as requirements of enrichment and conversion services and natural uranium; mass of waste based on the waste generation parameters and the mass flow; and all costs. It performs Monte Carlo simulations with changing the values of all unit costs within their respective ranges (from lower to upper bounds).« less

  1. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs - FY 2007 Budget Request (GPRA 2007)

    SciTech Connect (OSTI)

    Sheehan, J.

    2006-03-01

    This document summarizes the results of the benefits analysis of EERE's programs, as described in the FY 2007 Budget Request.

  2. A Double Scattering Analytical Model For Elastic Recoil Detection Analysis

    SciTech Connect (OSTI)

    Barradas, N. P.; Lorenz, K.; Alves, E.; Darakchieva, V.

    2011-06-01

    We present an analytical model for calculation of double scattering in elastic recoil detection measurements. Only events involving the beam particle and the recoil are considered, i.e. 1) an ion scatters off a target element and then produces a recoil, and 2) an ion produces a recoil which then scatters off a target element. Events involving intermediate recoils are not considered, i.e. when the primary ion produces a recoil which then produces a second recoil. If the recoil element is also present in the stopping foil, recoil events in the stopping foil are also calculated. We included the model in the standard code for IBA data analysis NDF, and applied it to the measurement of hydrogen in Si.

  3. BENEFIT Funding Opportunity- Webinar 2

    Broader source: Energy.gov [DOE]

    This is webinar 2 for the Building Energy Efficiency Frontiers and Innovation Technologies (BENEFIT) - 2015 Funding Opportunity Announcement (FOA) Number: DE-FOA-0001166.

  4. BENEFIT Funding Opportunity- Webinar 1

    Broader source: Energy.gov [DOE]

    This is webinar 1 for the Building Energy Efficiency Frontiers and Innovation Technologies (BENEFIT) - 2015 Funding Opportunity Announcement (FOA) Number: DE-FOA-0001166.

  5. Wind Energy Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  6. Webinar: BENEFIT 2016 FOA- Introduction

    Broader source: Energy.gov [DOE]

    The U.S. DOE Building Technologies Office (BTO) has announced the Funding Opportunity Announcement (FOA) Buildings Energy Efficiency Frontiers and Innovation Technologies (BENEFIT) 2016. This FOA...

  7. Modeling and Analysis of Natural Gas and Gasoline In A High Compressio...

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

    Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline ... A Natural Gas, High Compression Ratio, High Efficiency ICRE Advanced CombustionModeling ...

  8. Steady-State Analysis Model for Advanced Fuel Cycle Schemes.

    Energy Science and Technology Software Center (OSTI)

    2008-03-17

    Version 00 SMAFS was developed as a part of the study, "Advanced Fuel Cycles and Waste Management", which was performed during 2003-2005 by an ad-hoc expert group under the Nuclear Development Committee in the OECD/NEA. The model was designed for an efficient conduct of nuclear fuel cycle scheme cost analyses. It is simple, transparent and offers users the capability to track down cost analysis results. All the fuel cycle schemes considered in the model aremore » represented in a graphic format and all values related to a fuel cycle step are shown in the graphic interface, i.e., there are no hidden values embedded in the calculations. All data on the fuel cycle schemes considered in the study including mass flows, waste generation, cost data, and other data such as activities, decay heat and neutron sources of spent fuel and high-level waste along time are included in the model and can be displayed. The user can easily modify values of mass flows and/or cost parameters and see corresponding changes in the results. The model calculates: front-end fuel cycle mass flows such as requirements of enrichment and conversion services and natural uranium; mass of waste based on the waste generation parameters and the mass flow; and all costs.« less

  9. Benefits of Evaluation, Measurement, and Verification | Department...

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

    Benefits of Evaluation, Measurement, and Verification Benefits of Evaluation, Measurement, and Verification This document provides information about the benefits of performing ...

  10. Modeling and Analysis of the BUK/BES-5 Fast Reactor Using MCNP...

    Office of Scientific and Technical Information (OSTI)

    Modeling and Analysis of the BUKBES-5 Fast Reactor Using MCNP Citation Details In-Document Search Title: Modeling and Analysis of the BUKBES-5 Fast Reactor Using MCNP You are ...

  11. Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in...

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

    CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston Engine Advanced CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston ...

  12. Critical Updates to the Hydrogen Analysis Production Model (H2A...

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

    Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Presentation slides from the February 8, ...

  13. Modeling

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

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

  14. Modeling, Analysis, and Control of Demand Response Resources

    SciTech Connect (OSTI)

    Mathieu, Johanna L.

    2012-05-01

    While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in power systems via Demand Response (DR), defined by the Department of Energy (DOE) as “a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give incentive payments designed to induce lower electricity use at times of high market prices or when grid reliability is jeopardized” [29]. DR can provide a variety of benefits including reducing peak electric loads when the power system is stressed and fast timescale energy balancing. Therefore, DR can improve grid reliability and reduce wholesale energy prices and their volatility. This dissertation focuses on analyzing both recent and emerging DR paradigms. Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present methods for using 15-minute-interval electric load data, commonly available from C&I facilities, to help building managers understand building energy consumption and ‘ask the right questions’ to discover opportunities for DR. Additionally, we present a regression-based model of whole building electric load, i.e., a baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of 38 C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are expected to exhibit the same response each DR event. We find that baseline model error makes it difficult to precisely quantify changes in electricity consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. Therefore, we present a method to compute baseline model error and a metric to determine how much observed DR variability results from baseline model error rather than real

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

    SciTech Connect (OSTI)

    Carbajo, Juan; Jeong, Hae-Yong; Wigeland, Roald; Corradini, Michael; Schmidt, Rodney Cannon; Thomas, Justin; Wei, Tom; Sofu, Tanju; Ludewig, Hans; Tobita, Yoshiharu; Ohshima, Hiroyuki; Serre, Frederic

    2011-06-01

    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

  16. Honeywell Demonstrates Automated Demand Response Benefits for...

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

    Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility, ...

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

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

    Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode | Department of Energy 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

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

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

    Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads | Department of Energy 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

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

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

    Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads | Department of Energy 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

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

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

    Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit | Department of Energy 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

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

    SciTech Connect (OSTI)

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

    1999-02-24

    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.

  2. Analysis of single point moored tanker using maneuvering hydrodynamic model

    SciTech Connect (OSTI)

    Nishimoto, K.; Brinati, H.L.; Fucatu, C.H.

    1995-12-31

    The Single Point Mooring Systems (SPM) are widely used as a tanker terminal in Brazilian south coast by Petrobras, Brazilian oil company. Although different authors (Wichers, 1987, Obokata, 1987, and Jiang et al., 1988) had analyzed the dynamic stability of SPM system, the down time of these systems due to large oscillatory ship motion in the horizontal plane is significant until now. The main source of the instability of these systems is considered to be the use of inadequate hawser length and bad weather. This paper deals with the dynamic behavior of SPM moored vessels considering the influence of the environmental forces as well as shallow water effects. In a first step, a nonlinear mathematical model developed for the simulation of low speed ship maneuvers (Takashina, 1986) is extended to study the behavior of a tanker moored to a single buoy in comparison with the Obokata`s SPM model, 1987. A large number of tanker motion simulations were carried out both for deep and shallow water and different environmental conditions. The influence of the system parameters shown by the study is, in general, in a good agreement with those obtained by the traditional SPM system analysis.

  3. External Corrosion Analysis of Model 9975 Packaging Container

    SciTech Connect (OSTI)

    Vormelker, P.

    1999-02-23

    The Materials Consultation Group of SRTC has completed an external corrosion analysis of the Model 9975 packaging container for storage in K Reactor under ambient conditions for a period of 12 years. The 12-year storage period includes two years for shipping and ten years for storage. Based on review of existing literature and stated building storage conditions, corrosion degradation of the 304L Stainless Steel (SS) packaging container (drum and vessels) should be minimal during the 12 year time period. There may be visible corrosion on the galvanized carbon steel pallet due to initial drum handling. The visible corrosion will not be sufficient to cause significant degradation during the 12-year storage period. The Materials Consultation Group concludes that there are sufficient data to establish the technical basis for safe storage of the Model 9975 container in the 105-K building for up to 10 years following the 2-year shipping period. The data are sufficient to allow the 304L SS containers to be stored for a total period of 15 years.

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

    SciTech Connect (OSTI)

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

    2006-11-01

    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

  5. Geothermal Heat Pump Benefits Webinar | Department of Energy

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

    Pump Benefits Webinar Geothermal Heat Pump Benefits Webinar

  6. Expected benefits of federally-funded thermal energy storage research

    SciTech Connect (OSTI)

    Spanner, G.E.; Daellenbach, K.K.; Hughes, K.R.; Brown, D.R.; Drost, M.K.

    1992-09-01

    Pacific Northwest Laboratory (PNL) conducted this study for the Office of Advanced Utility Concepts of the US Department of Energy (DOE). The objective of this study was to develop a series of graphs that depict the long-term benefits of continuing DOE`s thermal energy storage (TES) research program in four sectors: building heating, building cooling, utility power production, and transportation. The study was conducted in three steps- The first step was to assess the maximum possible benefits technically achievable in each sector. In some sectors, the maximum benefit was determined by a ``supply side`` limitation, and in other sectors, the maximum benefit is determined by a ``demand side`` limitation. The second step was to apply economic cost and diffusion models to estimate the benefits that are likely to be achieved by TES under two scenarios: (1) with continuing DOE funding of TES research, and (2) without continued funding. The models all cover the 20-year period from 1990 to 2010. The third step was to prepare graphs that show the maximum technical benefits achievable, the estimated benefits with TES research funding, and the estimated benefits in the absence of TES research funding. The benefits of federally-funded TES research are largely in four areas: displacement of primary energy, displacement of oil and natural gas, reduction in peak electric loads, and emissions reductions.

  7. Expected benefits of federally-funded thermal energy storage research

    SciTech Connect (OSTI)

    Spanner, G E; Daellenbach, K K; Hughes, K R; Brown, D R; Drost, M K

    1992-09-01

    Pacific Northwest Laboratory (PNL) conducted this study for the Office of Advanced Utility Concepts of the US Department of Energy (DOE). The objective of this study was to develop a series of graphs that depict the long-term benefits of continuing DOE's thermal energy storage (TES) research program in four sectors: building heating, building cooling, utility power production, and transportation. The study was conducted in three steps- The first step was to assess the maximum possible benefits technically achievable in each sector. In some sectors, the maximum benefit was determined by a supply side'' limitation, and in other sectors, the maximum benefit is determined by a demand side'' limitation. The second step was to apply economic cost and diffusion models to estimate the benefits that are likely to be achieved by TES under two scenarios: (1) with continuing DOE funding of TES research, and (2) without continued funding. The models all cover the 20-year period from 1990 to 2010. The third step was to prepare graphs that show the maximum technical benefits achievable, the estimated benefits with TES research funding, and the estimated benefits in the absence of TES research funding. The benefits of federally-funded TES research are largely in four areas: displacement of primary energy, displacement of oil and natural gas, reduction in peak electric loads, and emissions reductions.

  8. Benefits of a Miniaturized Approach

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

    Benefits of a Miniaturized Approach Sandia's microsystems-enabled photovoltaics (MEPV) uses microdesign and microfabrication techniques to produce solar cells as small as 3-20 microns thick and 100-1000 microns wide. These PV cells are then placed or 'printed' onto a low-cost substrate with embedded contacts and microlenses for focusing sunlight onto the cells. Moving to micro-scale PV cell sizes results in distinct benefits at cell, module, and system levels, including reducing the amount of

  9. GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research

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

    Questions | Department of Energy GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions November 23, 2015 - 2:57pm Addthis GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions The Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model allows researchers and analysts to fully evaluate the energy and emission

  10. 2014 WIND POWER PROGRAM PEER REVIEW-ANALYSIS & MODELING

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

    Offshore System Cost Analysis-Aaron Smith, National Renewable Energy Laboratory Reduce ... Offshore System Cost Analysis Aaron Smith National Renewable Energy Laboratory ...

  11. Scaling of economic benefits from Green Roof implementation in Washington, DC.

    SciTech Connect (OSTI)

    Niu, H.; Clark, C. E.; Zhou, J.; Adriaens, P.; Environmental Science Division; Dalian Univ. of Technology; Univ. of Michigan

    2010-06-01

    Green roof technology is recognized for mitigating stormwater runoff and energy consumption. Methods to overcome the cost gap between green roofs and conventional roofs were recently quantified by incorporating air quality benefits. This study investigates the impact of scaling on these benefits at the city-wide scale using Washington, DC as a test bed because of the proposed targets in the 20-20-20 vision (20 million ft{sup 2} by 2020) articulated by Casey Trees, a nonprofit organization. Building-specific stormwater benefits were analyzed assuming two proposed policy scenarios for stormwater fees ranging from 35 to 50% reduction for green roof implementation. Heat flux calculations were used to estimate building-specific energy savings for commercial buildings. To assess benefits at the city scale, stormwater infrastructure savings were based on operational savings and size reduction due to reduced stormwater volume generation. Scaled energy infrastructure benefits were calculated using two size reductions methods for air conditioners. Avoided carbon dioxide, nitrogen oxide (NOx), and sulfur dioxide emissions were based on reductions in electricity and natural gas consumption. Lastly, experimental and fugacity-based estimates were used to quantify the NOx uptake by green roofs, which was translated to health benefits using U.S. Environmental Protection Agency models. The results of the net present value (NPV) analysis showed that stormwater infrastructure benefits totaled $1.04 million (M), while fee-based stormwater benefits were $0.22-0.32 M/y. Energy savings were $0.87 M/y, while air conditioner resizing benefits were estimated at $0.02 to $0.04 M/y and avoided emissions benefits (based on current emission trading values) were $0.09 M-0.41 M/y. Over the lifetime of the green roof (40 years), the NPV is about 30-40% less than that of conventional roofs (not including green roof maintenance costs). These considerable benefits, in concert with current and

  12. Alternative Fuels Data Center: Biodiesel Benefits

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

    Benefits to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Benefits on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Benefits on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Benefits on Google Bookmark Alternative Fuels Data Center: Biodiesel Benefits on Delicious Rank Alternative Fuels Data Center: Biodiesel Benefits on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Benefits on AddThis.com... More in this section...

  13. Alternative Fuels Data Center: Natural Gas Benefits

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

    Benefits to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Benefits on Facebook Tweet about Alternative Fuels Data Center: Natural Gas Benefits on Twitter Bookmark Alternative Fuels Data Center: Natural Gas Benefits on Google Bookmark Alternative Fuels Data Center: Natural Gas Benefits on Delicious Rank Alternative Fuels Data Center: Natural Gas Benefits on Digg Find More places to share Alternative Fuels Data Center: Natural Gas Benefits on AddThis.com... More in this

  14. Alternative Fuels Data Center: Propane Benefits

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

    Benefits to someone by E-mail Share Alternative Fuels Data Center: Propane Benefits on Facebook Tweet about Alternative Fuels Data Center: Propane Benefits on Twitter Bookmark Alternative Fuels Data Center: Propane Benefits on Google Bookmark Alternative Fuels Data Center: Propane Benefits on Delicious Rank Alternative Fuels Data Center: Propane Benefits on Digg Find More places to share Alternative Fuels Data Center: Propane Benefits on AddThis.com... More in this section... Propane Basics

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

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

    Department of Energy Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Presentation slides from the February 8, 2012, Fuel Cell Technologies Program webinar, "Critical Updates to the Hydrogen Analysis Production Model (H2A v3)." Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Webinar Slides (1.24 MB) More Documents & Publications H2A Delivery Models and Results Hydrogen

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

    SciTech Connect (OSTI)

    None, None

    2004-04-01

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

  17. 2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION

    SciTech Connect (OSTI)

    Choi, A.

    2014-05-08

    Phase 1 of the 2013 Cold cap Evaluation Furnace (CEF) test was completed on June 3, 2013 after a 5-day round-the-clock feeding and pouring operation. The main goal of the test was to characterize the CEF off-gas produced from a nitric-formic acid flowsheet feed and confirm whether the CEF platform is capable of producing scalable off-gas data necessary for the revision of the DWPF melter off-gas flammability model; the revised model will be used to define new safety controls on the key operating parameters for the nitric-glycolic acid flowsheet feeds including total organic carbon (TOC). Whether the CEF off-gas data were scalable for the purpose of predicting the potential flammability of the DWPF melter exhaust was determined by comparing the predicted H{sub 2} and CO concentrations using the current DWPF melter off-gas flammability model to those measured during Phase 1; data were deemed scalable if the calculated fractional conversions of TOC-to-H{sub 2} and TOC-to-CO at varying melter vapor space temperatures were found to trend and further bound the respective measured data with some margin of safety. Being scalable thus means that for a given feed chemistry the instantaneous flow rates of H{sub 2} and CO in the DWPF melter exhaust can be estimated with some degree of conservatism by multiplying those of the respective gases from a pilot-scale melter by the feed rate ratio. This report documents the results of the Phase 1 data analysis and the necessary calculations performed to determine the scalability of the CEF off-gas data. A total of six steady state runs were made during Phase 1 under non-bubbled conditions by varying the CEF vapor space temperature from near 700 to below 300C, as measured in a thermowell (T{sub tw}). At each steady state temperature, the off-gas composition was monitored continuously for two hours using MS, GC, and FTIR in order to track mainly H{sub 2}, CO, CO{sub 2}, NO{sub x}, and organic gases such as CH{sub 4}. The standard

  18. Appendix E: Wind Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  19. Appendix F: FreedomCAR and Vehicle Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  20. Appendix D: Solar Energy Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  1. Appendix I: Federal Energy Management Program (FEMP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  2. Appendix J: Weatherization and Intergovernmental Program (WIP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  3. Appendix G: Building Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  4. Appendix H: Industrial Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  5. Appendix B: Hydrogen, Fuel Cells, and Infrastructure Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  6. Projected benefits of Federal Energy Efficiency and Renewable Energy programs - FY 2008 budget request

    SciTech Connect (OSTI)

    None, None

    2007-03-01

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

  7. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

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

    ... renewable energy systems Nexus of natural gas and renewable energy Modeling of electric sector regulation and policy in capacity expansion and dispatch models, e.g. the ...

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

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

    Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling ... Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together ...

  9. Integration of facility modeling capabilities for nuclear nonproliferation analysis

    SciTech Connect (OSTI)

    Burr, Tom; Gorensek, M. B.; Krebs, John; Kress, Reid L; Lamberti, Vincent; Schoenwald, David; Ward, Richard C

    2012-01-01

    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.

  10. Cross-industry Performance Modeling: Toward Cooperative Analysis

    SciTech Connect (OSTI)

    Reece, Wendy Jane; Blackman, Harold Stabler

    1998-10-01

    One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several roadblocks to widespread sharing of data and lessons learned from operating experience and simulation, including the fact that very few publicly accessible data bases exist (Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.

  11. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1000 Megawatts (MW) of New Wind Power in Maine

    SciTech Connect (OSTI)

    2008-10-01

    Analysis of the expected impacts of 1000 MW of wind power in Maine, including economic benefits, CO2 emissions reductions, and water conservation.

  12. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1000 Megawatts (MW) of New Wind Power in Arizona

    SciTech Connect (OSTI)

    2008-10-01

    Analysis of the expected impacts of 1000 MW of wind power in Arizona, including economic benefits, CO2 emissions reductions, and water conservation.

  13. Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007,

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

    Discussion Session Highlights, Comments, and Action Items | Department of Energy Analysis, May 8-9, 2007, Discussion Session Highlights, Comments, and Action Items Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007, Discussion Session Highlights, Comments, and Action Items This summary highlights the disussion session, comments, and action items from the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007. deliv_analysis_discussion_summary.pdf (96.2

  14. Modeling and Analysis of Ultra-Relativistic Heavy-Ion Collisions

    SciTech Connect (OSTI)

    Bass, Steffen A

    2008-06-02

    This document contains the final report for DOE grant DE-FG02-03ER41239: Modeling and Analysis of Ultra-Relativistic Heavy-Ion Collisions

  15. Status Report on Modeling and Analysis of Small Modular Reactor Economics

    SciTech Connect (OSTI)

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

    2013-04-01

    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).

  16. ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION

    SciTech Connect (OSTI)

    Martino, C.; Herman, D.; Pike, J.; Peters, T.

    2014-06-05

    Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.

  17. Benefits to the United States of Increasing Global Uptake of Clean Energy Technologies

    SciTech Connect (OSTI)

    Kline, D.

    2010-07-01

    A previous report describes an opportunity for the United States to take leadership in efforts to transform the global energy system toward clean energy technologies (CET). An accompanying analysis to that report provides estimates of the economic benefits to the United States of such a global transformation on the order of several hundred billion dollars per year by 2050. This report describes the methods and assumptions used in developing those benefit estimates. It begins with a summary of the results of the analysis based on an updated and refined model completed since the publication of the previous report. The framework described can be used to estimate the economic benefits to the U.S. of coordinated global action to increase the uptake of CETs worldwide. Together with a Monte Carlo simulation engine, the framework can be used to develop plausible ranges for benefits, taking into account the large uncertainty in the driving variables and economic parameters. The resulting estimates illustrate that larger global clean energy markets offer significant opportunities to the United States economy.

  18. Microgrid Design Analysis Using Technology Management Optimization and the Performance Reliability Model

    SciTech Connect (OSTI)

    Stamp, Jason E.; Eddy, John P.; Jensen, Richard P.; Munoz-Ramos, Karina

    2016-01-01

    Microgrids are a focus of localized energy production that support resiliency, security, local con- trol, and increased access to renewable resources (among other potential benefits). The Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Joint Capa- bility Technology Demonstration (JCTD) program between the Department of Defense (DOD), Department of Energy (DOE), and Department of Homeland Security (DHS) resulted in the pre- liminary design and deployment of three microgrids at military installations. This paper is focused on the analysis process and supporting software used to determine optimal designs for energy surety microgrids (ESMs) in the SPIDERS project. There are two key pieces of software, an ex- isting software application developed by Sandia National Laboratories (SNL) called Technology Management Optimization (TMO) and a new simulation developed for SPIDERS called the per- formance reliability model (PRM). TMO is a decision support tool that performs multi-objective optimization over a mixed discrete/continuous search space for which the performance measures are unrestricted in form. The PRM is able to statistically quantify the performance and reliability of a microgrid operating in islanded mode (disconnected from any utility power source). Together, these two software applications were used as part of the ESM process to generate the preliminary designs presented by SNL-led DOE team to the DOD. Acknowledgements Sandia National Laboratories and the SPIDERS technical team would like to acknowledge the following for help in the project: * Mike Hightower, who has been the key driving force for Energy Surety Microgrids * Juan Torres and Abbas Akhil, who developed the concept of microgrids for military instal- lations * Merrill Smith, U.S. Department of Energy SPIDERS Program Manager * Ross Roley and Rich Trundy from U.S. Pacific Command * Bill Waugaman and Bill Beary from U.S. Northern Command * Tarek Abdallah, Melanie

  19. Modeling and Analysis of High-Penetration PV in California | Department of

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

    Energy Modeling and Analysis of High-Penetration PV in California Modeling and Analysis of High-Penetration PV in California NREL logo.jpg The NREL project team will utilize field verification to improve the ability to model and understand the impacts of high-penetration PV on electric utility systems and develop solutions to ease high-penetration PV deployments. The team will develop and verify advanced modeling and simulation methods for distribution system planning and operations; define

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

    SciTech Connect (OSTI)

    1996-12-01

    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.

  1. Economic analysis of model validation for a challenge problem

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

    Paez, Paul J.; Paez, Thomas L.; Hasselman, Timothy K.

    2016-02-19

    It is now commonplace for engineers to build mathematical models of the systems they are designing, building, or testing. And, it is nearly universally accepted that phenomenological models of physical systems must be validated prior to use for prediction in consequential scenarios. Yet, there are certain situations in which testing only or no testing and no modeling may be economically viable alternatives to modeling and its associated testing. This paper develops an economic framework within which benefit–cost can be evaluated for modeling and model validation relative to other options. The development is presented in terms of a challenge problem. Asmore » a result, we provide a numerical example that quantifies when modeling, calibration, and validation yield higher benefit–cost than a testing only or no modeling and no testing option.« less

  2. HMO Benefit Summary | Argonne National Laboratory

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

    HMO Benefit Summary Download a summary of benefits offered in our HMO health insurance option. PDF icon 2015 BlueAdvantage HMO Summary...

  3. Three Sustainability Tools are Enhancing Environmental Benefits...

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

    Three Sustainability Tools are Enhancing Environmental Benefits of Biofuels Three Sustainability Tools are Enhancing Environmental Benefits of Biofuels October 28, 2015 - 11:20am ...

  4. Economic, Energy, and Environmental Benefits of Concentrating...

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

    Economic, Energy, and Environmental Benefits of Concentrating Solar Power in California L. ... NRELSR-550-39291 April 2006 Economic, Energy, and Environmental Benefits of ...

  5. 'Lollachilipalooza' benefits Feds Feed Families effort | National...

    National Nuclear Security Administration (NNSA)

    'Lollachilipalooza' benefits Feds Feed Families effort Deputy Secretary of Energy Daniel Poneman led his band, "Yellow Cake," at "Lollachilipalooza" today to benefit DOE's 2014 ...

  6. Benefits of Better Buildings Residential Network Reporting |...

    Energy Savers [EERE]

    Benefits of Better Buildings Residential Network Reporting Benefits of Better Buildings Residential Network Reporting Better Buildings Residential Network All-Member Peer Exchange ...

  7. BIOENERGIZEME INFOGRAPHIC CHALLENGE: Environmental Benefits of...

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

    Environmental Benefits of Bioenergy Corn Can Save the Earth BIOENERGIZEME INFOGRAPHIC CHALLENGE: Environmental Benefits of Bioenergy Corn Can Save the Earth BIOENERGIZEME ...

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

    SciTech Connect (OSTI)

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

    2011-11-01

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

  9. H2A Delivery Components Model and Analysis

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

    assumes MACRS depreciation - Replacement capital includes for some components H2A Delivery ... Financial Analysis DirectIndirect Capital Costs Component Capital Costs Component ...

  10. Modeling

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

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

  11. Application of Gaussian Process Modeling to Analysis of Functional Unreliability

    SciTech Connect (OSTI)

    R. Youngblood

    2014-06-01

    This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed

  12. Global horizontal irradiance clear sky models : implementation and analysis.

    SciTech Connect (OSTI)

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

    2012-03-01

    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.

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

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

    Potomac River Power Plant Modeling Baseload Units 3,4,5 | Department of Energy 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

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

  15. Tank waste remediation system simulation analysis retrieval model

    SciTech Connect (OSTI)

    Fordham, R.A.

    1996-09-30

    The goal of simulation was to test tll(., consequences of assumptions. For the TWRS SIMAN Retrieval Model, l@lie specific assumptions are primarily defined with respect to waste processing arid transfer timing. The model tracks 73 chem1913ical constituents from underground waste tanks to glass; yet, the detailed (@hemistrv and complete set of unit operations of the TWRS process flow sheet are represented only at the level necessary to define the waste processing and transfer logic and to estimate the feed composition for the treatment facilities. Tlierefor(,, the model should net be regarded as a substitute for the TWRS process flow sheet. Pra(!ticallv the model functions as a dyrt(imic extension of the flow sheet model. I I The following sections present the description, assunipt@ions, architecture, arid evalua- tion of the TWRS SIMAN Retrieval Model. Section 2 describes the model in terms of an overview of the processes represented. Section 3 presents the assumptions for the simulation model. Specific assumptions 9.tt(l parameter values used in the model are provided for waste retrieval, pretreatment, low-level waste (LLNN7) immobilization, and high-level waste (HLW) immobilization functions. Section 4 describes the model in terms of its functional architec- rare to d(@fine a basis for a systematic evaluation of the model. Finally, Section 5 documents an independent test and evaluation of the niodel`s performance (i.e., the verification and validation). Additionally, Appendix A gives a complete listing of the tank inventory used. Appendix B documents the verification and validation plan that was used for the (Section 5) evaluation work. A description and listing of all the model variables is given in Appendix C along with a complete source listing.

  16. Design and Modeling of Pulsed Power Accelerators Via Circuit Analysis

    Energy Science and Technology Software Center (OSTI)

    1996-12-05

    SCREAMER simulates electrical circuits which may contain elements of variable resistance, capacitance and inductance. The user may add variable circuit elements in a simulation by choosing from a library of models or by writing a subroutine describing the element. Transmission lines, magnetically insulated transmission lines (MITLs) and arbitrary voltage and current sources may also be included. Transmission lines are modeled using pi-sections connected in series. Many models of switches and loads are included.

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

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

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

  18. Discussion: the design and analysis of the Gaussian process model

    SciTech Connect (OSTI)

    Williams, Brian J; Loeppky, Jason L

    2008-01-01

    The investigation of complex physical systems utilizing sophisticated computer models has become commonplace with the advent of modern computational facilities. In many applications, experimental data on the physical systems of interest is extremely expensive to obtain and hence is available in limited quantities. The mathematical systems implemented by the computer models often include parameters having uncertain values. This article provides an overview of statistical methodology for calibrating uncertain parameters to experimental data. This approach assumes that prior knowledge about such parameters is represented as a probability distribution, and the experimental data is used to refine our knowledge about these parameters, expressed as a posterior distribution. Uncertainty quantification for computer model predictions of the physical system are based fundamentally on this posterior distribution. Computer models are generally not perfect representations of reality for a variety of reasons, such as inadequacies in the physical modeling of some processes in the dynamic system. The statistical model includes components that identify and adjust for such discrepancies. A standard approach to statistical modeling of computer model output for unsampled inputs is introduced for the common situation where limited computer model runs are available. Extensions of the statistical methods to functional outputs are available and discussed briefly.

  19. Applied Dynamic Analysis of the Global Economy (ADAGE) Model...

    Open Energy Info (EERE)

    model capable of examining many types of economic, energy, environmental, climate change mitigation, and trade policies at the international, national, U.S. regional, and U.S....

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

    Open Energy Info (EERE)

    standard model. In addition, GTAP-E incorporates carbon emissions from the combustion of fossil fuels and provides for a mechanism to trade these emissions internationally. When...

  1. NREL: Concentrating Solar Power Research - Modeling and Analysis

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

    NREL has the following capabilities, which include software development, for modeling and analyzing a variety of concentrating solar power technologies: Solar Resource Maps Optical ...

  2. Hydrogen Analysis (H2A) Production Component Model

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

    selling cost given a specified after-tax internal rate of return. Key Attributes & Strengths Part of suite of H2A Models (Production, Delivery Components, Delivery Scenario). ...

  3. Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in a 60%

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

    Efficient Free-Piston Engine | Department of Energy Combustion/Modeling and Analysis Toward HCCI/PCCI in a 60% Efficient Free-Piston Engine Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in a 60% Efficient Free-Piston Engine This presentation covers analysis and prediction of attainable combustion ratios in an HCCI/PCCI free-piston engine deer09_fitzgerald.pdf (253.23 KB) More Documents & Publications Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in a 60%

  4. Central Facility Benefits from Improvements

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

    2 Central Facility Benefits from Improvements Three current projects are improving the ARM SGP central facility near Lamont, Oklahoma: construction of an instrument maintenance facility, installation of an instrument to measure carbon dioxide flux, and construction of a platform to accommodate instruments brought to the site by visiting scientists. Instrument Maintenance Facility Construction of the instrument maintenance facility (Figure 1) began on November 26, 2001. Being assembled from three

  5. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs - FY 2008 Budget Request

    SciTech Connect (OSTI)

    Not Available

    2007-03-01

    This document summarizes the results of the benefits analysis of EERE's programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and for each of its nine Research, Development, Demonstration, and Deployment (RD3) programs. Benefits for the FY 2008 budget request are estimated for the midterm (2008-2030) and long term (2030-2050).

  6. Energy Analysis Models, Tools and Software Technologies Available for

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

    Licensing - Energy Innovation Portal Energy Analysis Site Map Printable Version Share this resource About Search Categories (15) Advanced Materials Biomass and Biofuels Building Energy Efficiency Electricity Transmission Energy Analysis Marketing Summaries (119) Energy Storage Geothermal Hydrogen and Fuel Cell Hydropower, Wave and Tidal Industrial Technologies Solar Photovoltaic Solar Thermal Startup America Vehicles and Fuels Wind Energy Partners (27) Visual Patent Search Success Stories

  7. Three Sustainability Tools are Enhancing Environmental Benefits of Biofuels

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

    | Department of Energy Three Sustainability Tools are Enhancing Environmental Benefits of Biofuels Three Sustainability Tools are Enhancing Environmental Benefits of Biofuels October 28, 2015 - 11:20am Addthis The Landscape Environmental Assessment Framework (LEAF), the Water Assessment for Transportation Energy Resources (WATER), and the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model are three tools that are enabling an environmentally beneficial

  8. Maximum likelihood Bayesian model averaging and its predictive analysis for groundwater reactive transport models

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

    Lu, Dan; Ye, Ming; Curtis, Gary P.

    2015-08-01

    While Bayesian model averaging (BMA) has been widely used in groundwater modeling, it is infrequently applied to groundwater reactive transport modeling because of multiple sources of uncertainty in the coupled hydrogeochemical processes and because of the long execution time of each model run. To resolve these problems, this study analyzed different levels of uncertainty in a hierarchical way, and used the maximum likelihood version of BMA, i.e., MLBMA, to improve the computational efficiency. Our study demonstrates the applicability of MLBMA to groundwater reactive transport modeling in a synthetic case in which twenty-seven reactive transport models were designed to predict themore » reactive transport of hexavalent uranium (U(VI)) based on observations at a former uranium mill site near Naturita, CO. Moreover, these reactive transport models contain three uncertain model components, i.e., parameterization of hydraulic conductivity, configuration of model boundary, and surface complexation reactions that simulate U(VI) adsorption. These uncertain model components were aggregated into the alternative models by integrating a hierarchical structure into MLBMA. The modeling results of the individual models and MLBMA were analyzed to investigate their predictive performance. The predictive logscore results show that MLBMA generally outperforms the best model, suggesting that using MLBMA is a sound strategy to achieve more robust model predictions relative to a single model. MLBMA works best when the alternative models are structurally distinct and have diverse model predictions. When correlation in model structure exists, two strategies were used to improve predictive performance by retaining structurally distinct models or assigning smaller prior model probabilities to correlated models. Since the synthetic models were designed using data from the Naturita site, the results of this study are expected to provide guidance for real-world modeling. Finally

  9. Maximum likelihood Bayesian model averaging and its predictive analysis for groundwater reactive transport models

    SciTech Connect (OSTI)

    Lu, Dan; Ye, Ming; Curtis, Gary P.

    2015-08-01

    While Bayesian model averaging (BMA) has been widely used in groundwater modeling, it is infrequently applied to groundwater reactive transport modeling because of multiple sources of uncertainty in the coupled hydrogeochemical processes and because of the long execution time of each model run. To resolve these problems, this study analyzed different levels of uncertainty in a hierarchical way, and used the maximum likelihood version of BMA, i.e., MLBMA, to improve the computational efficiency. Our study demonstrates the applicability of MLBMA to groundwater reactive transport modeling in a synthetic case in which twenty-seven reactive transport models were designed to predict the reactive transport of hexavalent uranium (U(VI)) based on observations at a former uranium mill site near Naturita, CO. Moreover, these reactive transport models contain three uncertain model components, i.e., parameterization of hydraulic conductivity, configuration of model boundary, and surface complexation reactions that simulate U(VI) adsorption. These uncertain model components were aggregated into the alternative models by integrating a hierarchical structure into MLBMA. The modeling results of the individual models and MLBMA were analyzed to investigate their predictive performance. The predictive logscore results show that MLBMA generally outperforms the best model, suggesting that using MLBMA is a sound strategy to achieve more robust model predictions relative to a single model. MLBMA works best when the alternative models are structurally distinct and have diverse model predictions. When correlation in model structure exists, two strategies were used to improve predictive performance by retaining structurally distinct models or assigning smaller prior model probabilities to correlated models. Since the synthetic models were designed using data from the Naturita site, the results of this study are expected to provide guidance for real-world modeling. Finally, limitations of

  10. Fuel Cell Power Model for CHHP System Economics and Performance Analysis |

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

    Department of Energy Model for CHHP System Economics and Performance Analysis Fuel Cell Power Model for CHHP System Economics and Performance Analysis Presented at the Renewable Hydrogen Workshop, Nov. 16, 2009, in Palm Springs, CA renewable_hydrogen_workshop_nov16_steward.pdf (818.96 KB) More Documents & Publications Biogas Opportunities Roadmap Progress Report Fuel Cell Tri-Generation System Case Study using the H2A Stationary Model Project Reports for Tulalip Tribes - 2003 Project

  11. Projected benefits of Federal Energy Efficiency and Renewable Energy programs (FY 2007 - FY 2050)

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2007 Budget Request.

  12. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs - FY 2007 Budget Request

    SciTech Connect (OSTI)

    None, None

    2006-03-01

    This document summarizes the results of the benefits analysis of EEREs programs, as described in the FY 2007 Budget Request.

  13. Status Report on Modeling and Analysis of Small Modular Reactor...

    Office of Scientific and Technical Information (OSTI)

    The model is based on the G4-ECONS calculation tool developed for the Generation IV International Forum (GIF). Authors: Harrison, Thomas J 1 ; Hale, Richard Edward 1 ; Moses, ...

  14. Literature review for vehicle correspondence and network modeling and analysis

    SciTech Connect (OSTI)

    Boakye, K; Kidwell, P; Konjevod, G; Lenderman, J

    2015-12-18

    The ability to recognize specific vehicle types (e.g., car make and model) is central to the correspondence task. Here we describe two recent efforts in this area.

  15. Computer Modeling of Violent Intent: A Content Analysis Approach

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Mcgrath, Liam R.; Bell, Eric B.

    2014-01-03

    We present a computational approach to modeling the intent of a communication source representing a group or an individual to engage in violent behavior. Our aim is to identify and rank aspects of radical rhetoric that are endogenously related to violent intent to predict the potential for violence as encoded in written or spoken language. We use correlations between contentious rhetoric and the propensity for violent behavior found in documents from radical terrorist and non-terrorist groups and individuals to train and evaluate models of violent intent. We then apply these models to unseen instances of linguistic behavior to detect signs of contention that have a positive correlation with violent intent factors. Of particular interest is the application of violent intent models to social media, such as Twitter, that have proved to serve as effective channels in furthering sociopolitical change.

  16. Design theoretic analysis of three system modeling frameworks.

    SciTech Connect (OSTI)

    McDonald, Michael James

    2007-05-01

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

  17. Incorporating Non-energy Benefits into Energy Savings Performance Contracts

    SciTech Connect (OSTI)

    Larsen, Peter; Goldman, Charles; Gilligan, Donald; Singer, Terry

    2012-06-01

    This paper evaluates the issue of non-energy benefits within the context of the U.S. energy services company (ESCO) industry?a growing industry comprised of companies that provide energy savings and other benefits to customers through the use of performance-based contracting. Recent analysis has found that ESCO projects in the public/institutional sector, especially at K-12 schools, are using performance-based contracting, at the behest of the customers, to partially -- but not fully -- offset substantial accumulated deferred maintenance needs (e.g., asbestos removal, wiring) and measures that have very long paybacks (roof replacement). This trend is affecting the traditional economic measures policymakers use to evaluate success on a benefit to cost basis. Moreover, the value of non-energy benefits which can offset some or all of the cost of the non-energy measures -- including operations and maintenance (O&M) savings, avoided capital costs, and tradable pollution emissions allowances-- are not always incorporated into a formal cost-effectiveness analysis of ESCO projects. Nonenergy benefits are clearly important to customers, but state and federal laws that govern the acceptance of these types of benefits for ESCO projects vary widely (i.e., 0-100percent of allowable savings can come from one or more non-energy categories). Clear and consistent guidance on what types of savings are recognized in Energy Savings agreements under performance contracts is necessary, particularly where customers are searching for deep energy efficiency gains in the building sector.

  18. CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS

    SciTech Connect (OSTI)

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

    2006-12-01

    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.

  19. Webinar: Critical Updates to the Hydrogen Analysis Production Model (H2A

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

    v3) | Department of Energy Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Webinar: Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Below is the text version of the webinar titled "Critical Updates to the Hydrogen Analysis Production Model (H2A v3)," originally presented on February 8, 2012. In addition to this text version of the audio, you can access the presentation slides. Darlene Steward: So I have a little presentation here. The real

  20. Modeling and Analysis of a Lunar Space Reactor with the Computer Code

    Office of Scientific and Technical Information (OSTI)

    RELAP5-3D/ATHENA (Conference) | SciTech Connect Conference: Modeling and Analysis of a Lunar Space Reactor with the Computer Code RELAP5-3D/ATHENA Citation Details In-Document Search Title: Modeling and Analysis of a Lunar Space Reactor with the Computer Code RELAP5-3D/ATHENA The transient analysis 3-dimensional (3-D) computer code RELAP5-3D/ATHENA has been employed to model and analyze a space reactor of 180 kW(thermal), 40 kW (net, electrical) with eight Stirling engines (SEs). Each SE

  1. Fuel-Cycle Energy and Emissions Analysis with the GREET Model | Department

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

    of Energy Fuel-Cycle Energy and Emissions Analysis with the GREET Model Fuel-Cycle Energy and Emissions Analysis with the GREET Model 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. ftp_02_wang.pdf (309.07 KB) More Documents & Publications GREET Development and Applications for Life-Cycle Analysis of Vehicle/Fuel Systems Well-to-Wheels Analysis of Advanced Fuel/Vehicle Systems - A North

  2. High Resolution PV Power Modeling for Distribution Circuit Analysis

    SciTech Connect (OSTI)

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

    2013-09-01

    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.

  3. Nuisance Source Population Modeling for Radiation Detection System Analysis

    SciTech Connect (OSTI)

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

    2009-10-05

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

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

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

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

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

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

    Information Administration Crudeoil - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks,

  6. Ultimate Heat Sink Cooling Pond and Spray Pond Analysis Models.

    Energy Science and Technology Software Center (OSTI)

    1999-05-02

    Version 00 Three programs model performance of an ultimate heat sink cooling pond. National Weather Service data is read and analyzed to predict periods of lowest cooling performance and highest evaporative loss. The data is compared to local site data for significant differences. Then the maximum pond temperature is predicted. Five programs model performance of an ultimate heat sink spray pond. The cooling performance, evaporative water loss, and drift water loss as a function ofmore » windspeed are estimated for a spray field. These estimates are used in conjunction with National Weather Service data to predict periods of lowest cooling performance and highest evaporative loss. This data is compared to local site data for significant differences. Then the maximum pond temperature is predicted.« less

  7. Modeling and Analysis of Solar Radiation Potentials on Building Rooftops

    SciTech Connect (OSTI)

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

    2012-01-01

    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.

  8. Delay correlation analysis and representation for vital complaint VHDL models

    DOE Patents [OSTI]

    Rich, Marvin J.; Misra, Ashutosh

    2004-11-09

    A method and system unbind a rise/fall tuple of a VHDL generic variable and create rise time and fall time generics of each generic variable that are independent of each other. Then, according to a predetermined correlation policy, the method and system collect delay values in a VHDL standard delay file, sort the delay values, remove duplicate delay values, group the delay values into correlation sets, and output an analysis file. The correlation policy may include collecting all generic variables in a VHDL standard delay file, selecting each generic variable, and performing reductions on the set of delay values associated with each selected generic variable.

  9. Modeling and Analysis of a Lunar Space Reactor with the Computer...

    Office of Scientific and Technical Information (OSTI)

    Reactor with the Computer Code RELAP5-3DATHENA Citation Details In-Document Search Title: Modeling and Analysis of a Lunar Space Reactor with the Computer Code RELAP5-3D...

  10. Projected benefits of Federal Energy Efficiency and Renewable Energy Programs: FY 2006 budget request

    SciTech Connect (OSTI)

    None, None

    2005-03-01

    This report describes a benefits analysis undertaken by EERE to better understand the extent to which the technologies and market improvements funded by its FY 2006 budget request will make energy more affordable, cleaner, and more reliable. It summarizes the results of the analysis, which focused on economic, environmental, and security benefits related to energy. The report identifies specific measures or indicators of estimated benefits for FY 2006.

  11. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs. FY 2007 Budget Request

    SciTech Connect (OSTI)

    none,

    2006-03-01

    This report describes a benefits analysis undertaken by EERE to better understand the extent to which the technologies and market improvements funded by its FY 2007 budget request will make energy more affordable, cleaner, and more reliable. It summarizes the results of the analysis, which focused on economic, environmental, and security benefits related to energy. The report identifies specific measures or indicators of estimated benefits for FY 2007.

  12. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs. FY 2005 - FY 2050

    SciTech Connect (OSTI)

    None, None

    2004-05-01

    This report describes a benefits analysis undertaken by EERE to better understand the extent to which the technologies and market improvements funded by its FY 2005 budget request will make energy more affordable, cleaner, and more reliable. It summarizes the results of the analysis, which focused on economic, environmental, and security benefits related to energy. The report identifies specific measures or indicators of estimated benefits for FY 2005.

  13. Projected Benefits of Federal Energy Efficiency and Renewable Energy Programs. FY 2008 Budget Request

    SciTech Connect (OSTI)

    none,

    2007-03-01

    This report describes a benefits analysis undertaken by EERE to better understand the extent to which the technologies and market improvements funded by its FY 2008 budget request will make energy more affordable, cleaner, and more reliable. It summarizes the results of the analysis, which focused on economic, environmental, and security benefits related to energy. The report identifies specific measures or indicators of estimated benefits for FY 2008.

  14. PPO Benefit Summary | Argonne National Laboratory

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

    Summary Download a summary of benefits offered in our PPO health insurance option. PDF icon 2015 PPO Summary...

  15. Sandia National Laboratories: Careers: Benefits and Perks

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

    Benefits and Perks Bioscience Working at Sandia has its benefits From health and compensation to diversity programs, flexible career tracks, community outreach, and more, Sandians receive great rewards for their great work. The benefits of working at Sandia extend far beyond the traditional packages advertised by other companies. Yes, we offer competitive salaries and great benefits. But more importantly, Sandia is the kind of workplace that exists in your dreams - giving you opportunities to

  16. Public Benefit Funds Resources | Department of Energy

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

    Public Benefit Funds Resources Public Benefit Funds Resources State and/or local financial incentives and programs help building owners execute energy efficiency projects by lowering cost burdens through public benefits funds, grants, loans, or property-assessed clean energy financing; personal, corporate, property, and sales tax incentives; or assistance with permitting fee reduction or elimination. Find public benefit funds resources below. Environmental Protection Agency: State Clean Energy

  17. POLICY GUIDANCE MEMORANDUM #24 Reemployed Annuitant Benefits...

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

    Responsible Contacts Lynette Johnson HUMAN RESOURCES SPECIALIST (EMPLOYEE BENEFITS) ... Services Employment and Reemployment Rights Act Training National Service Activation ...

  18. Bio-Benefits Basics | Department of Energy

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

    Education & Workforce Development » Resources » Biomass Basics » Bio-Benefits Basics Bio-Benefits Basics Biomass is an important commodity for the future of the United States. Increased production and use of biofuels will result in a variety of benefits to the nation, including: Improved national energy security Increased economic growth Broad-based environmental benefits. Biomass and U.S. Energy Security The U.S. economy is heavily dependent on oil imports-containing 4% of the world's

  19. Definition of GPRA08 benefits metrics

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Background information for the FY 2007 GPRA methodology review on the definitions of GPRA08 benefits metrics.

  20. Smart Grid Environmental Benefits … Part 2

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

    Smart Grid Environmental Benefits Toolkit Can a Smart Grid deliver real environmental benefits in a time when they are sorely needed? Yes! According to recent studies, it can even reduce emissions at a lower cost than many of the newest clean energy technologies. In this article, we give you four tools to help inform your utility, ratepayers, regulators, or legislators that a Smart Grid offers huge environmental benefits: * An outline of where these benefits are likely to come from * An

  1. EERE Employment Benefits | Department of Energy

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

    Employment Opportunities » EERE Employment Benefits EERE Employment Benefits A photo of a young Asian female working on her laptop in an outdoor setting, near an office building. The Office of Energy Efficiency and Renewable Energy (EERE) staffs enjoy all of the great rewards of being a government employee. Learn more at these pages at the Office of Personnel Management website: Health care and other benefits for new federal employees Retirement benefits Insurance programs Work / life

  2. NGNP Data Management and Analysis System Modeling Capabilities

    SciTech Connect (OSTI)

    Cynthia D. Gentillon

    2009-09-01

    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.

  3. Benefit Value Studies and Benefit Trends 11-3-15 Final.pptx

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

    | MTG DATE | 2015 Introduction to BIv1 2 Agenda What is a Benefit Value Study? Benefit Value Study ... as well as other work-life programs and perks ...

  4. High-throughput generation, optimization and analysis of genome-scale metabolic models.

    SciTech Connect (OSTI)

    Henry, C. S.; DeJongh, M.; Best, A. A.; Frybarger, P. M.; Linsay, B.; Stevens, R. L.

    2010-09-01

    Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To address this problem, we introduce the Model SEED, a web-based resource for high-throughput generation, optimization and analysis of genome-scale metabolic models. The Model SEED integrates existing methods and introduces techniques to automate nearly every step of this process, taking {approx}48 h to reconstruct a metabolic model from an assembled genome sequence. We apply this resource to generate 130 genome-scale metabolic models representing a taxonomically diverse set of bacteria. Twenty-two of the models were validated against available gene essentiality and Biolog data, with the average model accuracy determined to be 66% before optimization and 87% after optimization.

  5. Thermophysical models of underground coal gasification and FEM analysis

    SciTech Connect (OSTI)

    Yang, L.H.

    2007-11-15

    In this study, mathematical models of the coupled thermohydromechanical process of coal rock mass in an underground coal gasification panel are established. Combined with the calculation example, the influence of heating effects on the observed values and simulated values for pore water pressure, stress, and displacement in the gasification panel are fully discussed and analyzed. Calculation results indicate that 38, 62, and 96 days after the experiment, the average relative errors for the calculated values and measured values for the temperature and water pressure were between 8.51-11.14% and 3-10%, respectively; with the passage of gasification time, the calculated errors for the vertical stress and horizontal stress gradually declined, but the simulated errors for the horizontal and vertical displacements both showed a rising trend. On the basis of the research results, the calculated values and the measured values agree with each other very well.

  6. Process integrated modelling for steelmaking Life Cycle Inventory analysis

    SciTech Connect (OSTI)

    Iosif, Ana-Maria Hanrot, Francois Ablitzer, Denis

    2008-10-15

    During recent years, strict environmental regulations have been implemented by governments for the steelmaking industry in order to reduce their environmental impact. In the frame of the ULCOS project, we have developed a new methodological framework which combines the process integrated modelling approach with Life Cycle Assessment (LCA) method in order to carry out the Life Cycle Inventory of steelmaking. In the current paper, this new concept has been applied to the sinter plant which is the most polluting steelmaking process. It has been shown that this approach is a powerful tool to make the collection of data easier, to save time and to provide reliable information concerning the environmental diagnostic of the steelmaking processes.

  7. Baseline Assessment of TREAT for Modeling and Analysis Needs

    SciTech Connect (OSTI)

    Bess, John Darrell; DeHart, Mark David

    2015-10-01

    TREAT is an air-cooled, graphite moderated, thermal, heterogeneous test facility designed to evaluate reactor fuels and structural materials under conditions simulating various types of nuclear excursions and transient undercooling situations that could occur in a nuclear reactor. After 21 years in a standby mode, TREAT is being re-activated to revive transient testing capabilities. Given the time elapsed and the concurrent loss of operating experience, current generation and advanced computational methods are being applied to begin TREAT modeling and simulation prior to renewed at-power operations. Such methods have limited value in predicting the behavior of TREAT without proper validation. Hence, the U.S. DOE has developed a number of programs to support development of benchmarks for both critical and transient operations. Extensive effort has been expended at INL to collect detailed descriptions, drawings and specifications for all aspects of TREAT, and to resolve conflicting data found through this process. This report provides a collection of these data, with updated figures that are significantly more readable than historic drawings and illustrations, compositions, and dimensions based on the best available sources. This document is not nor should it be considered to be a benchmark report. Rather, it is intended to provide one-stop shopping, to the extent possible, for other work that seeks to prepare detailed, accurate models of the core and its components. Given the nature of the variety of historic documents available and the loss of institutional memory, the only completely accurate database of TREAT data is TREAT itself. Unfortunately, disassembly of TREAT for inspection, assay, and measurement is highly unlikely. Hence the data provided herein is intended serve as a best-estimate substitute.

  8. Development of a UF{sub 6} cylinder transient heat transfer/stress analysis model

    SciTech Connect (OSTI)

    Williams, W.R.

    1991-12-31

    A heat transfer/stress analysis model is being developed to simulate the heating to a point of rupture of a cylinder containing UF{sub 6} when it is exposed to a fire. The assumptions underlying the heat transfer portion of the model, which has been the focus of work to date, will be discussed. A key aspect of this model is a lumped parameter approach to modeling heat transfer. Preliminary results and future efforts to develop an integrated thermal/stress model will be outlined.

  9. NREL: Energy Analysis - Regional Energy Deployment System (ReEDS) Model

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

    Regional Energy Deployment System (ReEDS) Model Energy Analysis The Regional Energy Deployment System (ReEDS) helps the U.S. Department of Energy, utilities, public utility commissions, state/local regulators and others optimize and visualize the build-out of U.S. electricity generation and transmission systems. Learn more about ReEDS: Model Description Unique Value Documentation Publications Transformation of the Electric Sector (Compare to Baseline Projections) Printable Version Model

  10. Advanced wavefront measurement and analysis of laser system modeling

    SciTech Connect (OSTI)

    Wolfe, C.R.; Auerback, J.M.

    1994-11-15

    High spatial resolution measurements of the reflected or transmitted wavefronts of large aperture optical components used in high peak power laser systems is now possible. These measurements are produced by phase shifting interferometry. The wavefront data is in the form of 3-D phase maps that reconstruct the wavefront shape. The emphasis of this work is on the characterization of wavefront features in the mid-spatial wavelength range (from 0.1 to 10.0 mm) and has been accomplished for the first time. Wavefront structure from optical components with spatial wavelengths in this range are of concern because their effects in high peak power laser systems. At high peak power, this phase modulation can convert to large magnitude intensity modulation by non-linear processes. This can lead to optical damage. We have developed software to input the measured phase map data into beam propagation codes in order to model this conversion process. We are analyzing this data to: (1) Characterize the wavefront structure produced by current optical components, (2) Refine our understanding of laser system performance, (3) Develop a database from which future optical component specifications can be derived.

  11. THERMAL MODELING ANALYSIS OF SRS 70 TON CASK

    SciTech Connect (OSTI)

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

    2011-03-08

    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.

  12. Modeling and Analysis of High-Penetration PV in Florida | Department of

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

    Energy Modeling and Analysis of High-Penetration PV in Florida Modeling and Analysis of High-Penetration PV in Florida caps-fsu-logo.jpg This project aims to leverage simulation-assisted research and development based on a wide variety of Florida feeders that already incorporate high levels of PV power. Working with utilities, the team at Florida State University's Center for Advanced Power Systems (FSU CAPS) will evaluate and model impacts of the effects of high-penetration PV on

  13. Large-Scale Transport Model Uncertainty and Sensitivity Analysis: Distributed Sources in Complex Hydrogeologic Systems

    SciTech Connect (OSTI)

    Sig Drellack, Lance Prothro

    2007-12-01

    The Underground Test Area (UGTA) Project of the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office is in the process of assessing and developing regulatory decision options based on modeling predictions of contaminant transport from underground testing of nuclear weapons at the Nevada Test Site (NTS). The UGTA Project is attempting to develop an effective modeling strategy that addresses and quantifies multiple components of uncertainty including natural variability, parameter uncertainty, conceptual/model uncertainty, and decision uncertainty in translating model results into regulatory requirements. The modeling task presents multiple unique challenges to the hydrological sciences as a result of the complex fractured and faulted hydrostratigraphy, the distributed locations of sources, the suite of reactive and non-reactive radionuclides, and uncertainty in conceptual models. Characterization of the hydrogeologic system is difficult and expensive because of deep groundwater in the arid desert setting and the large spatial setting of the NTS. Therefore, conceptual model uncertainty is partially addressed through the development of multiple alternative conceptual models of the hydrostratigraphic framework and multiple alternative models of recharge and discharge. Uncertainty in boundary conditions is assessed through development of alternative groundwater fluxes through multiple simulations using the regional groundwater flow model. Calibration of alternative models to heads and measured or inferred fluxes has not proven to provide clear measures of model quality. Therefore, model screening by comparison to independently-derived natural geochemical mixing targets through cluster analysis has also been invoked to evaluate differences between alternative conceptual models. Advancing multiple alternative flow models, sensitivity of transport predictions to parameter uncertainty is assessed through Monte Carlo simulations. The

  14. Comprehensive mechanisms for combustion chemistry: Experiment, modeling, and sensitivity analysis

    SciTech Connect (OSTI)

    Dryer, F.L.; Yetter, R.A.

    1993-12-01

    This research program is an integrated experimental/numerical effort to study pyrolysis and oxidation reactions and mechanisms for small-molecule hydrocarbon structures under conditions representative of combustion environments. The experimental aspects of the work are conducted in large diameter flow reactors, at pressures from one to twenty atmospheres, temperatures from 550 K to 1200 K, and with observed reaction times from 10{sup {minus}2} to 5 seconds. Gas sampling of stable reactant, intermediate, and product species concentrations provides not only substantial definition of the phenomenology of reaction mechanisms, but a significantly constrained set of kinetic information with negligible diffusive coupling. Analytical techniques used for detecting hydrocarbons and carbon oxides include gas chromatography (GC), and gas infrared (NDIR) and FTIR methods are utilized for continuous on-line sample detection of light absorption measurements of OH have also been performed in an atmospheric pressure flow reactor (APFR), and a variable pressure flow (VPFR) reactor is presently being instrumented to perform optical measurements of radicals and highly reactive molecular intermediates. The numerical aspects of the work utilize zero and one-dimensional pre-mixed, detailed kinetic studies, including path, elemental gradient sensitivity, and feature sensitivity analyses. The program emphasizes the use of hierarchical mechanistic construction to understand and develop detailed kinetic mechanisms. Numerical studies are utilized for guiding experimental parameter selections, for interpreting observations, for extending the predictive range of mechanism constructs, and to study the effects of diffusive transport coupling on reaction behavior in flames. Modeling using well defined and validated mechanisms for the CO/H{sub 2}/oxidant systems.

  15. Verification and validation of the decision analysis model for assessment of tank waste remediation system waste treatment strategies

    SciTech Connect (OSTI)

    Awadalla, N.G.; Eaton, S.C.F.

    1996-09-04

    This document is the verification and validation final report for the Decision Analysis Model for Assessment of Tank Waste Remediation System Waste Treatment Strategies. This model is also known as the INSIGHT Model.

  16. Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model

    SciTech Connect (OSTI)

    P. Tucci

    2001-12-20

    This Analysis/Model Report (AMR) documents an updated analysis of water-level data performed to provide the saturated-zone, site-scale flow and transport model (CRWMS M&O 2000) with the configuration of the potentiometric surface, target water-level data, and hydraulic gradients for model calibration. The previous analysis was presented in ANL-NBS-HS-000034, Rev 00 ICN 01, Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model (USGS 2001). This analysis is designed to use updated water-level data as the basis for estimating water-level altitudes and the potentiometric surface in the SZ site-scale flow and transport model domain. The objectives of this revision are to develop computer files containing (1) water-level data within the model area (DTN: GS010908312332.002), (2) a table of known vertical head differences (DTN: GS0109083 12332.003), and (3) a potentiometric-surface map (DTN: GS010608312332.001) using an alternate concept from that presented in ANL-NBS-HS-000034, Rev 00 ICN 01 for the area north of Yucca Mountain. The updated water-level data include data obtained from the Nye County Early Warning Drilling Program (EWDP) and data from borehole USW WT-24. In addition to being utilized by the SZ site-scale flow and transport model, the water-level data and potentiometric-surface map contained within this report will be available to other government agencies and water users for ground-water management purposes. The potentiometric surface defines an upper boundary of the site-scale flow model, as well as provides information useful to estimation of the magnitude and direction of lateral ground-water flow within the flow system. Therefore, the analysis documented in this revision is important to SZ flow and transport calculations in support of total system performance assessment.

  17. Microsoft Word - Energy and Emissions Benefit Table Instructions.doc

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

    amendment replaces the Energy Benefits and Emissions Table on page 52 of Solicitation DE-FOA-0000005 and page 44 of Solicitation Number DE-FOA-0000008 with the following data request form. In order to conduct a more thorough lifecycle emissions analysis consistent with statutory requirements set forth in Title XVII of the Energy Policy Act of 2005, DOE is replacing the Energy and Emissions Benefits table provided in Solicitation Number DE-FOA-0000005 and Solicitation Number DE-FOA-0000008 with

  18. Projected Benefits of Individual EERE Programs (primary and secondary)

    SciTech Connect (OSTI)

    none,

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for individual renewable energy technologies in the EERE portfolio. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  19. Projected Benefits of EERE’s Portfolio. FY 2010

    SciTech Connect (OSTI)

    None, None

    2011-11-17

    This collection of data tables and charts shows the benefits metrics related to energy security, environmental impacts, and economic impacts for the entire EERE portfolio of renewable energy technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  20. EERE Portfolio. Primary Benefits Metrics for FY09

    SciTech Connect (OSTI)

    none,

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for both the entire EERE portfolio of renewable energy technologies as well as the individual technologies. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

  1. Program Benefits of Individual EERE Programs. FY 2010

    SciTech Connect (OSTI)

    None, None

    2011-11-01

    This collection of data tables shows the benefits metrics related to energy security, environmental impacts, and economic impacts for individual renewable energy technologies in the EERE portfolio. Data are presented for the years 2015, 2020, 2030, and 2050, for both the NEMS and MARKAL models.

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

    SciTech Connect (OSTI)

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

    2009-09-30

    The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and

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

    SciTech Connect (OSTI)

    Engle, J.

    1994-04-01

    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.

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

    SciTech Connect (OSTI)

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

    2001-11-09

    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.

  5. Dependence in probabilistic modeling, Dempster-Shafer theory, and probability bounds analysis.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Tucker, W. Troy; Zhang, Jianzhong; Ginzburg, Lev; Berleant, Daniel J.; Ferson, Scott; Hajagos, Janos; Nelsen, Roger B.

    2004-10-01

    This report summarizes methods to incorporate information (or lack of information) about inter-variable dependence into risk assessments that use Dempster-Shafer theory or probability bounds analysis to address epistemic and aleatory uncertainty. The report reviews techniques for simulating correlated variates for a given correlation measure and dependence model, computation of bounds on distribution functions under a specified dependence model, formulation of parametric and empirical dependence models, and bounding approaches that can be used when information about the intervariable dependence is incomplete. The report also reviews several of the most pervasive and dangerous myths among risk analysts about dependence in probabilistic models.

  6. Benefits Forms and Information | Department of Energy

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

    New Employee Orientation » Benefits Forms and Information Benefits Forms and Information As a Federal employee, you may have the opportunity to participate in a number of employee benefit and family-friendly programs. If your appointment to Federal employment confers eligibility, you may elect to participate in health, dental, and life insurance programs; retirement savings plans; flexible spending accounts; long-term care insurance; and vacation and sick leave. In addition, there are a number

  7. Page 4, Federal Employees Health Benefits (FEHB)

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

    4 of 11 Previous Page Federal Employees Health Benefits (FEHB) Initial Election Period As a new employee, you have 60 days from your date of appointment to make an election for the health benefits program. Your completed Health Benefits Election Form, SF-2809, must be submitted to your servicing Human Resources Office in a timely manner. If you fail to make an election within the required deadline, you are considered to have declined coverage. You will not have another opportunity to enroll

  8. Benefits | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    NNSA Benefits The great jobs we have at NNSA also come with comprehensive benefits packages. They are among the best and most comprehensive available and play a vital role in demonstrating the Federal government and NNSA's commitment to its employees. In addition, most NNSA facilities offer onsite daycare, fitness centers, wellness programs and telecommuting arrangements. The great jobs we have at NNSA also come with comprehensive benefits packages. They are among the best and most comprehensive

  9. Health Benefits | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Health Benefits The great jobs we have at NNSA also come with comprehensive benefits packages. They are among the best and most comprehensive available and play a vital role in demonstrating the Federal government and NNSA's commitment to its employees. The great jobs we have at NNSA also come with comprehensive benefits packages. They are among the best and most comprehensive available and play a vital role in demonstrating the Federal government and NNSA's commitment to its employees. Health

  10. A system analysis computer model for the High Flux Isotope Reactor (HFIRSYS Version 1)

    SciTech Connect (OSTI)

    Sozer, M.C.

    1992-04-01

    A system transient analysis computer model (HFIRSYS) has been developed for analysis of small break loss of coolant accidents (LOCA) and operational transients. The computer model is based on the Advanced Continuous Simulation Language (ACSL) that produces the FORTRAN code automatically and that provides integration routines such as the Gear`s stiff algorithm as well as enabling users with numerous practical tools for generating Eigen values, and providing debug outputs and graphics capabilities, etc. The HFIRSYS computer code is structured in the form of the Modular Modeling System (MMS) code. Component modules from MMS and in-house developed modules were both used to configure HFIRSYS. A description of the High Flux Isotope Reactor, theoretical bases for the modeled components of the system, and the verification and validation efforts are reported. The computer model performs satisfactorily including cases in which effects of structural elasticity on the system pressure is significant; however, its capabilities are limited to single phase flow. Because of the modular structure, the new component models from the Modular Modeling System can easily be added to HFIRSYS for analyzing their effects on system`s behavior. The computer model is a versatile tool for studying various system transients. The intent of this report is not to be a users manual, but to provide theoretical bases and basic information about the computer model and the reactor.

  11. Wind Energy Benefits | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Benefits Jump to: navigation, search Photo from Todd Spink, NREL 14821 Wind energy development is associated with a variety of positive impacts for surrounding...

  12. Benefits Summary - Temporary Job Classification | Argonne National...

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

    Temporary Job Classification Download a summary of benefits offered to employees in the temporary job classification (at least 6 months term and 20 hoursweek). PDF icon 2015 Long...

  13. Benefits of Better Buildings Residential Network Reporting

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network All-Member Peer Exchange Call: Member Reporting and Benefits, Call Slides and Discussion Summary, May 22, 2014.

  14. Webinar: BENEFIT 2016 FOA – Full Applications

    Broader source: Energy.gov [DOE]

    The U.S. DOE Building Technologies Office (BTO) has announced the Funding Opportunity Announcement (FOA) Buildings Energy Efficiency Frontiers and Innovation Technologies (BENEFIT) 2016. This FOA...

  15. Post-Closure Benefits | Department of Energy

    Office of Environmental Management (EM)

    to provide systematically for the payment of retirement income that is payable for life. ... for the payment of other retirement benefits including medical and life insurance. ...

  16. Students benefit the Laboratory and the region

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

    Students benefit the Laboratory and the region Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: Dec. 2015-Jan. 2016 all...

  17. Page 3, Benefits and Pay Information

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

    individual net pay amounts will be influenced by several factors, such as benefit elections and tax exemptions. The second question is a bit easier. The Federal government...

  18. Well-to-wheels analysis of fast pyrolysis pathways with the GREET model.

    SciTech Connect (OSTI)

    Han, J.; Elgowainy, A.; Palou-Rivera, I.; Dunn, J.B.; Wang, M.Q.

    2011-12-01

    The pyrolysis of biomass can help produce liquid transportation fuels with properties similar to those of petroleum gasoline and diesel fuel. Argonne National Laboratory conducted a life-cycle (i.e., well-to-wheels [WTW]) analysis of various pyrolysis pathways by expanding and employing the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The WTW energy use and greenhouse gas (GHG) emissions from the pyrolysis pathways were compared with those from the baseline petroleum gasoline and diesel pathways. Various pyrolysis pathway scenarios with a wide variety of possible hydrogen sources, liquid fuel yields, and co-product application and treatment methods were considered. At one extreme, when hydrogen is produced from natural gas and when bio-char is used for process energy needs, the pyrolysis-based liquid fuel yield is high (32% of the dry mass of biomass input). The reductions in WTW fossil energy use and GHG emissions relative to those that occur when baseline petroleum fuels are used, however, is modest, at 50% and 51%, respectively, on a per unit of fuel energy basis. At the other extreme, when hydrogen is produced internally via reforming of pyrolysis oil and when bio-char is sequestered in soil applications, the pyrolysis-based liquid fuel yield is low (15% of the dry mass of biomass input), but the reductions in WTW fossil energy use and GHG emissions are large, at 79% and 96%, respectively, relative to those that occur when baseline petroleum fuels are used. The petroleum energy use in all scenarios was restricted to biomass collection and transportation activities, which resulted in a reduction in WTW petroleum energy use of 92-95% relative to that found when baseline petroleum fuels are used. Internal hydrogen production (i.e., via reforming of pyrolysis oil) significantly reduces fossil fuel use and GHG emissions because the hydrogen from fuel gas or pyrolysis oil (renewable sources) displaces that from fossil fuel

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

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

    Department of Energy 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

  20. Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive

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

    E.T. Coon; C.J. Wilson; S.L. Painter; V.E. Romanovsky; D.R. Harp; A.L. Atchley; J.C. Rowland

    2016-02-02

    This dataset contains an ensemble of thermal-hydro soil parameters including porosity, thermal conductivity, thermal conductivity shape parameters, and residual saturation of peat and mineral soil. The ensemble was generated using a Null-Space Monte Carlo analysis of parameter uncertainty based on a calibration to soil temperatures collected at the Barrow Environmental Observatory site by the NGEE team. The micro-topography of ice wedge polygons present at the site is included in the analysis using three 1D column models to represent polygon center, rim and trough features. The Arctic Terrestrial Simulator (ATS) was used in the calibration to model multiphase thermal and hydrological processes in the subsurface.

  1. Modeling & Analysis

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

    ... Recent Sandia Secure, Scalable Microgrid Advanced Controls Research Accomplishments A ... project resulted in a secure, scalable microgrid (SSM) research facility that is actively ...

  2. Modeling & Analysis

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

    ... Thermoelectric devices convert heat to electricity and have no moving parts, making them extremely attractive for cooling and energy harvesting applications. Thermoelectric ...

  3. Modeling & Analysis

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

    ... Named PRESCIENT, the software produces probabilistic forecasts automatically from deterministic historical forecasts for load, solar, andor wind power production and their ...

  4. Modeling & Analysis

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

    Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering ...

  5. Modeling & Analysis

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

    participating in the Wind Turbine Radar Interference ... Association AWEA WindPower 2015 event in Orlando, Florida. ... Carlos Michelen (in Sandia's Water Power Technologies Dept.) ...

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

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

    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

  7. NEPA Success Stories and Benefits | Department of Energy

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

    NEPA Success Stories and Benefits NEPA Success Stories and Benefits September 16, 2013 Examples of Benefits from the NEPA process for ARRA funded activities Efforts to implement ...

  8. Webinar: Genetically Modified Algae: A Risk-Benefit Assessment...

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

    Algae: A Risk-Benefit Assessment Webinar: Genetically Modified Algae: A Risk-Benefit Assessment Genetically Modified (GM) Algae: A Risk-Benefit Assessment PDF icon...

  9. Annual Benefits Statement, PIA, Bechtel Jacobs Company, LLC ...

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

    Annual Benefits Statement, PIA, Bechtel Jacobs Company, LLC Annual Benefits Statement, PIA, Bechtel Jacobs Company, LLC Annual Benefits Statement, PIA, Bechtel Jacobs Company, LLC ...

  10. Economic analysis and assessment of syngas production using a modeling approach

    SciTech Connect (OSTI)

    Kim, Hakkwan; Parajuli, Prem B.; Yu, Fei; Columbus, Eugene P.

    2011-08-10

    Economic analysis and modeling are essential and important issues for the development of current feedstock and process technology for bio-gasification. The objective of this study was to develop an economic model and apply to predict the unit cost of syngas production from a micro-scale bio-gasification facility. An economic model was programmed in C++ computer programming language and developed using a parametric cost approach, which included processes to calculate the total capital costs and the total operating costs. The model used measured economic data from the bio-gasification facility at Mississippi State University. The modeling results showed that the unit cost of syngas production was $1.217 for a 60 Nm-3 h-1 capacity bio-gasifier. The operating cost was the major part of the total production cost. The equipment purchase cost and the labor cost were the largest part of the total capital cost and the total operating cost, respectively. Sensitivity analysis indicated that labor costs rank the top as followed by equipment cost, loan life, feedstock cost, interest rate, utility cost, and waste treatment cost. The unit cost of syngas production increased with the increase of all parameters with exception of loan life. The annual cost regarding equipment, labor, feedstock, waste treatment, and utility cost showed a linear relationship with percent changes, while loan life and annual interest rate showed a non-linear relationship. This study provides the useful information for economic analysis and assessment of the syngas production using a modeling approach.

  11. Reliability analysis and prediction of mixed mode load using Markov Chain Model

    SciTech Connect (OSTI)

    Nikabdullah, N.; Singh, S. S. K.; Alebrahim, R.; Azizi, M. A.; K, Elwaleed A.; Noorani, M. S. M.

    2014-06-19

    The aim of this paper is to present the reliability analysis and prediction of mixed mode loading by using a simple two state Markov Chain Model for an automotive crankshaft. The reliability analysis and prediction for any automotive component or structure is important for analyzing and measuring the failure to increase the design life, eliminate or reduce the likelihood of failures and safety risk. The mechanical failures of the crankshaft are due of high bending and torsion stress concentration from high cycle and low rotating bending and torsional stress. The Markov Chain was used to model the two states based on the probability of failure due to bending and torsion stress. In most investigations it revealed that bending stress is much serve than torsional stress, therefore the probability criteria for the bending state would be higher compared to the torsion state. A statistical comparison between the developed Markov Chain Model and field data was done to observe the percentage of error. The reliability analysis and prediction was derived and illustrated from the Markov Chain Model were shown in the Weibull probability and cumulative distribution function, hazard rate and reliability curve and the bathtub curve. It can be concluded that Markov Chain Model has the ability to generate near similar data with minimal percentage of error and for a practical application; the proposed model provides a good accuracy in determining the reliability for the crankshaft under mixed mode loading.

  12. Energy Conservation Projects to Benefit the Railroad Industry

    SciTech Connect (OSTI)

    Clifford Mirman; Promod Vohra

    2009-12-31

    The Energy Conservation Projects to benefit the railroad industry using the Norfolk Southern Company as a model for the railroad industry has five unique tasks which are in areas of importance within the rail industry, and specifically in the area of energy conservation. The NIU Engineering and Technology research team looked at five significant areas in which research and development work can provide unique solutions to the railroad industry in energy the conservation. (1) Alternate Fuels - An examination of various blends of bio-based diesel fuels for the railroad industry, using Norfolk Southern as a model for the industry. The team determined that bio-diesel fuel is a suitable alternative to using straight diesel fuel, however, the cost and availability across the country varies to a great extent. (2) Utilization of fuel cells for locomotive power systems - While the application of the fuel cell has been successfully demonstrated in the passenger car, this is a very advanced topic for the railroad industry. There are many safety and power issues that the research team examined. (3) Thermal and emission reduction for current large scale diesel engines - The current locomotive system generates large amount of heat through engine cooling and heat dissipation when the traction motors are used to decelerate the train. The research team evaluated thermal management systems to efficiently deal with large thermal loads developed by the operating engines. (4) Use of Composite and Exotic Replacement Materials - Research team redesigned various components using new materials, coatings, and processes to provide the needed protection. Through design, analysis, and testing, new parts that can withstand the hostile environments were developed. (5) Tribology Applications - Identification of tribology issues in the Railroad industry which play a significant role in the improvement of energy usage. Research team analyzed and developed solutions which resulted in friction

  13. NREL: Water Power Research - Economic and Power System Modeling and

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

    Analysis Economic and Power System Modeling and Analysis NREL's Economic Analysis and power system modeling integrates data from device deployment and programmatic research into deployment and scenario models to quantify the economic and societal benefits of developing cost-competitive marine and hydrokinetic systems. It also identifies policy mechanisms, market designs, and supply chain needs to support various deployment scenarios, provide information and training to potential members of

  14. Structural analysis of three global land models on carbon cycle simulations using a traceability framework

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

    Rafique, R.; Xia, J.; Hararuk, O.; Luo, Y.

    2014-06-27

    Modeled carbon (C) storage capacity is largely determined by the C residence time and net primary productivity (NPP). Extensive research has been done on NPP dynamics but the residence time and their relationships with C storage are much less studied. In this study, we implemented a traceability analysis to understand the modeled C storage and residence time in three land surface models: CSIRO's Atmosphere Biosphere Land Exchange (CABLE) with 9 C pools, Community Land Model (version 3.5) combined with Carnegie-Ames-Stanford Approach (CLM3.5-CASA) with 12 C pools and Community Land Model (version 4) (CLM4) with 26 C pools. The globally averagedmoreC storage and residence time was computed at both individual pool and total ecosystem levels. The spatial distribution of total ecosystem C storage and residence time differ greatly among the three models. The CABLE model showed a closer agreement with measured C storage and residence time in plant and soil pools than CLM3.5-CASA and CLM4. However, CLM3.5-CASA and CLM4 were close to each other in modeled C storage but not with measured data. CABLE stores more C in root whereas CLM3.5-CASA and CLM4 store more C in woody pools, partly due to differential NPP allocation in respective pools. The C residence time in individual C pools is greatly different among models, largely because of different transfer coefficient values among pools. CABLE had higher bulk residence time for soil C pools than the other two models. Overall, the traceability analysis used in this study can help fully characterizes the behavior of complex land models.less

  15. Analysis of Wind Turbine Simulation Models: Assessment of Simplified versus Complete Methodologies: Preprint

    SciTech Connect (OSTI)

    Honrubia-Escribano, A.; Jimenez-Buendia, F.; Molina-Garcia, A.; Fuentes-Moreno, J. A.; Muljadi, Eduard; Gomez-Lazaro, E.

    2015-09-14

    This paper presents the current status of simplified wind turbine models used for power system stability analysis. This work is based on the ongoing work being developed in IEC 61400-27. This international standard, for which a technical committee was convened in October 2009, is focused on defining generic (also known as simplified) simulation models for both wind turbines and wind power plants. The results of the paper provide an improved understanding of the usability of generic models to conduct power system simulations.

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

    SciTech Connect (OSTI)

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

    2009-06-28

    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.

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

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

    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

  18. A new frequency domain arc furnace model for iterative harmonic analysis

    SciTech Connect (OSTI)

    Mayordomo, J.G.; Beites, L.F.; Asensi, R.; Izzeddine, M.; Zabala, L.; Amantegui, J.

    1997-10-01

    This paper presents a new frequency domain Arc Furnace model for Iterative Harmonic Analysis (IHA) by means of a Newton method. Powerful analytical expressions for harmonic currents and their derivatives are obtained under the balanced conditions of the system. The model offers a three phase configuration where there is no path for homopolar currents. Moreover, it contemplates continuous and discontinuous evolution of the arc current. The solution obtained is validated by means of time domain simulations. Finally, the model was integrated in a harmonic power flow where studies have been performed in a network with more than 700 busbars and 7 actual Arc Furnace Loads.

  19. Appendix A: GPRA07 benefits estimates: NEMS-GPRA07 and MARKAL-GPRA07 baseline cases

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    This document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2007 Budget Request.

  20. System for the Analysis of Global Energy Markets - Vol. II, Model Documentation

    Reports and Publications (EIA)

    2003-01-01

    The second volume provides a data implementation guide that lists all naming conventions and model constraints. In addition, Volume 1 has two appendixes that provide a schematic of the System for the Analysis of Global Energy Markets (SAGE) structure and a listing of the source code, respectively.

  1. System for the Analysis of Global Energy Markets - Vol. I, Model Documentation

    Reports and Publications (EIA)

    2003-01-01

    Documents the objectives and the conceptual and methodological approach used in the development of projections for the International Energy Outlook. The first volume of this report describes the System for the Analysis of Global Energy Markets (SAGE) methodology and provides an in-depth explanation of the equations of the model.

  2. Analysis report for WIPP colloid model constraints and performance assessment parameters

    SciTech Connect (OSTI)

    Mariner, Paul E.; Sassani, David Carl

    2014-03-01

    An analysis of the Waste Isolation Pilot Plant (WIPP) colloid model constraints and parameter values was performed. The focus of this work was primarily on intrinsic colloids, mineral fragment colloids, and humic substance colloids, with a lesser focus on microbial colloids. Comments by the US Environmental Protection Agency (EPA) concerning intrinsic Th(IV) colloids and Mg-Cl-OH mineral fragment colloids were addressed in detail, assumptions and data used to constrain colloid model calculations were evaluated, and inconsistencies between data and model parameter values were identified. This work resulted in a list of specific conclusions regarding model integrity, model conservatism, and opportunities for improvement related to each of the four colloid types included in the WIPP performance assessment.

  3. Grand Challenges in Modeling, Simulation and Analysis: Extraction and Visualization of Power Systems

    SciTech Connect (OSTI)

    Fernandez, Steven J; Omitaomu, Olufemi A

    2010-01-01

    Threats to the national electric power grid often require the coupling of real-time state data with look-ahead or forecasting models to provide timely disruption warnings. However, successful accomplishment of this capability presents a grand challenge in modeling, simulation, and analysis. Analysis of inter-area oscillatory modes may provide a new path to anticipate power system stability and address this grand challenge. An algorithm is presented for the identification and analysis of such modes from high resolution phasor measurement data that might indicate a pathway to meet this grand challenge. The process outlined includes data collection, conditioning, extraction of the primary oscillatory frequency, and determination of participating areas of the system.

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

    SciTech Connect (OSTI)

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

    2013-11-10

    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.

  5. Post-Closure Benefits: DOE Complex vs Closure Sites | Department...

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

    Post-Closure Benefits Post-Closure Benefits: DOE Complex vs Closure Sites Post-Closure Benefits: DOE Complex vs Closure Sites Status of Contractor Pension and PRB Benefit ...

  6. Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis: Modeling Archive

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

    J.C. Rowland; D.R. Harp; C.J. Wilson; A.L. Atchley; V.E. Romanovsky; E.T. Coon; S.L. Painter

    2016-02-02

    This Modeling Archive is in support of an NGEE Arctic publication available at doi:10.5194/tc-10-341-2016. This dataset contains an ensemble of thermal-hydro soil parameters including porosity, thermal conductivity, thermal conductivity shape parameters, and residual saturation of peat and mineral soil. The ensemble was generated using a Null-Space Monte Carlo analysis of parameter uncertainty based on a calibration to soil temperatures collected at the Barrow Environmental Observatory site by the NGEE team. The micro-topography of ice wedge polygons present at the site is included in the analysis using three 1D column models to represent polygon center, rim and trough features. The Arctic Terrestrial Simulator (ATS) was used in the calibration to model multiphase thermal and hydrological processes in the subsurface.

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

    SciTech Connect (OSTI)

    Not Available

    1980-09-01

    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.

  8. Capturing the benefits of distributed generation

    SciTech Connect (OSTI)

    Coles, L.R.

    1999-11-01

    Existing and future distributed generation (DG) can provide significant benefits to customers, utilities and other service providers. For the customer, these benefits could include improved reliability, better power quality and lower costs. For the utility distribution company, these benefits could include deferral of costly distribution upgrades and local voltage support. For the region`s generation and transmission suppliers, DG can provide dependable capacity supply, relief from transmission constraints, and ancillary transmission services such as reactive supply and supplemental reserves. The promise of DG technologies is strong. The technical hurdles to capturing these benefits are being met with improved generators and with enhanced command, control, and communications technologies. However, institutional and regulatory hurdles to capturing these distributed generation benefits appear to be significant. Restructuring for retail access and the delamination of utilities into wires companies and generation companies may make it difficult to capture many of the multiple benefits of DG. Policy-makers should be aware of these factors and strive to craft policies and rules that give DG a fair change to deliver these strong benefits.

  9. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    SciTech Connect (OSTI)

    Pastore, Giovanni; Swiler, L. P.; Hales, Jason D.; Novascone, Stephen R.; Perez, Danielle M.; Spencer, Benjamin W.; Luzzi, Lelio; Uffelen, Paul Van; Williamson, Richard L.

    2014-10-12

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

  10. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    SciTech Connect (OSTI)

    G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson

    2014-10-01

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

  11. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

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

    Pastore, Giovanni; Swiler, L. P.; Hales, Jason D.; Novascone, Stephen R.; Perez, Danielle M.; Spencer, Benjamin W.; Luzzi, Lelio; Uffelen, Paul Van; Williamson, Richard L.

    2014-10-12

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertaintymore » in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.« less

  12. Analysis of laser remote fusion cutting based on a mathematical model

    SciTech Connect (OSTI)

    Matti, R. S.; Ilar, T.; Kaplan, A. F. H.

    2013-12-21

    Laser remote fusion cutting is analyzed by the aid of a semi-analytical mathematical model of the processing front. By local calculation of the energy balance between the absorbed laser beam and the heat losses, the three-dimensional vaporization front can be calculated. Based on an empirical model for the melt flow field, from a mass balance, the melt film and the melting front can be derived, however only in a simplified manner and for quasi-steady state conditions. Front waviness and multiple reflections are not modelled. The model enables to compare the similarities, differences, and limits between laser remote fusion cutting, laser remote ablation cutting, and even laser keyhole welding. In contrast to the upper part of the vaporization front, the major part only slightly varies with respect to heat flux, laser power density, absorptivity, and angle of front inclination. Statistical analysis shows that for high cutting speed, the domains of high laser power density contribute much more to the formation of the front than for low speed. The semi-analytical modelling approach offers flexibility to simplify part of the process physics while, for example, sophisticated modelling of the complex focused fibre-guided laser beam is taken into account to enable deeper analysis of the beam interaction. Mechanisms like recast layer generation, absorptivity at a wavy processing front, and melt film formation are studied too.

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

    SciTech Connect (OSTI)

    Berg, John M.; Veirs, D. Kirk; Vaughn, Randolph B.; Cisneros, Michael R.; Smith, Coleman A.

    2000-06-01

    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.

  14. Analysis of Modeling Assumptions used in Production Cost Models for Renewable Integration Studies

    SciTech Connect (OSTI)

    Stoll, Brady; Brinkman, Gregory; Townsend, Aaron; Bloom, Aaron

    2016-01-01

    Renewable energy integration studies have been published for many different regions exploring the question of how higher penetration of renewable energy will impact the electric grid. These studies each make assumptions about the systems they are analyzing; however the effect of many of these assumptions has not been yet been examined and published. In this paper we analyze the impact of modeling assumptions in renewable integration studies, including the optimization method used (linear or mixed-integer programming) and the temporal resolution of the dispatch stage (hourly or sub-hourly). We analyze each of these assumptions on a large and a small system and determine the impact of each assumption on key metrics including the total production cost, curtailment of renewables, CO2 emissions, and generator starts and ramps. Additionally, we identified the impact on these metrics if a four-hour ahead commitment step is included before the dispatch step and the impact of retiring generators to reduce the degree to which the system is overbuilt. We find that the largest effect of these assumptions is at the unit level on starts and ramps, particularly for the temporal resolution, and saw a smaller impact at the aggregate level on system costs and emissions. For each fossil fuel generator type we measured the average capacity started, average run-time per start, and average number of ramps. Linear programming results saw up to a 20% difference in number of starts and average run time of traditional generators, and up to a 4% difference in the number of ramps, when compared to mixed-integer programming. Utilizing hourly dispatch instead of sub-hourly dispatch saw no difference in coal or gas CC units for either start metric, while gas CT units had a 5% increase in the number of starts and 2% increase in the average on-time per start. The number of ramps decreased up to 44%. The smallest effect seen was on the CO2 emissions and total production cost, with a 0.8% and 0

  15. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

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

    The Vegetation-Ecosystem Modeling and Analysis Project (VEMAP) was a large, collaborative, multi-agency program to simulate and understand ecosystem dynamics for the continental U.S. The project involved the development of common data sets for model input including a high-resolution topographically-adjusted climate history of the U.S. from 1895-1993 on a 0.5? grid, with soils and vegetation cover. The vegetation cover data set includes a detailed agricultural data base based on USDA statistics and remote sensing, as well as natural vegetation (also derived from satellite imagery). Two principal model experiments were run. First, a series of ecosystem models were run from 1895 to 1993 to simulate current ecosystem biogeochemistry. Second, these same models were integrated forward using the output from two climate system models (CCC (Canadian Climate Centre) and Hadley Centre models) using climate results translated into the VEMAP grid and re-adjusted for high-resolution topography for the simulated period 1994-2100.[Quoted from http://www.cgd.ucar.edu/vemap/findings.html] The VEMAP Data Portal is a central collection of files maintained and serviced by the NCAR Data Group. These files (the VEMAP Community Datasets) represent a complete and current collection of VEMAP data files. All data files available through the Data Portal have undergone extensive quality assurance.[Taken from http://www.cgd.ucar.edu/vemap/datasets.html] 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.

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

    SciTech Connect (OSTI)

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

    2010-09-01

    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

  17. Models for residential- and commercial-sector energy-conservation analysis: applications, limitations, and future potential. Final report

    SciTech Connect (OSTI)

    Cole, Henry E.; Fullen, Robert E.

    1980-09-01

    This report reviews four of the major models used by the Department of Energy (DOE) for energy conservation analyses in the residential- and commercial-building sectors. The objective is to provide a critical analysis of how these models can serve as tools for DOE and its Conservation Policy Office in evaluating and quantifying their policy and program requirements. For this, the study brings together information on the models' analytical structure and their strengths and limitations in policy applications these are then employed to assess the most-effective role for each model in addressing future issues of buildings energy-conservation policy and analysis. The four models covered are: Oak Ridge Residential Energy Model; Micro Analysis of Transfers to Households/Comprehensive Human Resources Data System (MATH/CHRDS) Model; Oak Ridge Commercial Energy Model; and Brookhaven Buildings Energy Conservation Optimization Model (BECOM).

  18. Water-Level Data Analysis for the Saturated Zone Site-Scale Flow and Transport Model

    SciTech Connect (OSTI)

    K. Rehfeldt

    2004-10-08

    This report is an updated analysis of water-level data performed to provide the ''Saturated Zone Site-Scale Flow Model'' (BSC 2004 [DIRS 170037]) (referred to as the saturated zone (SZ) site-scale flow model or site-scale SZ flow model in this report) with the configuration of the potentiometric surface, target water-level data, and hydraulic gradients for calibration of groundwater flow models. This report also contains an expanded discussion of uncertainty in the potentiometric-surface map. The analysis of the potentiometric data presented in Revision 00 of this report (USGS 2001 [DIRS 154625]) provides the configuration of the potentiometric surface, target heads, and hydraulic gradients for the calibration of the SZ site-scale flow model (BSC 2004 [DIRS 170037]). Revision 01 of this report (USGS 2004 [DIRS 168473]) used updated water-level data for selected wells through the year 2000 as the basis for estimating water-level altitudes and the potentiometric surface in the SZ site-scale flow and transport model domain based on an alternative interpretation of perched water conditions. That revision developed computer files containing: Water-level data within the model area (DTN: GS010908312332.002); A table of known vertical head differences (DTN: GS010908312332.003); and A potentiometric-surface map (DTN: GS010608312332.001) using an alternative concept from that presented by USGS (2001 [DIRS 154625]) for the area north of Yucca Mountain. The updated water-level data presented in USGS (2004 [DIRS 168473]) include data obtained from the Nye County Early Warning Drilling Program (EWDP) Phases I and II and data from Borehole USW WT-24. This document is based on Revision 01 (USGS 2004 [DIRS 168473]) and expands the discussion of uncertainty in the potentiometric-surface map. This uncertainty assessment includes an analysis of the impact of more recent water-level data and the impact of adding data from the EWDP Phases III and IV wells. In addition to being utilized

  19. Dynamic nuclear renography kinetic analysis: Four-compartment model for assessing kidney function

    SciTech Connect (OSTI)

    Raswan, T. R. Haryanto, F.

    2014-09-30

    Dynamic nuclear renography method produces TACs of kidneys and bladder. Multiple TACs data can be further analyzed to obtain the overview of urinary system's condition. Tracer kinetic analysis was performed using four-compartment models. The system's model consist of four irreversible compartment with four transport constants (k1, k2, k3 and k4). The mathematical expressions of tracer's distributions is fitted to experimental data (TACs) resulting in model constants. This transport constants represent the urinary system behavior, and later can be used for analyzing system's condition. Different intervals of kinetics parameter are clearly shown by abnormal system with respect to the normal one. Furthermore, the system with delayed uptake has 82% lower uptake parameters (k1 and k2) than normal one. Meanwhile, the system with prolonged clearance time has its kinetics parameters k3 or k4 lower than the others. This model is promising for quantitatively describe urinary system's function especially if supplied with more data.

  20. Use of model calibration to achieve high accuracy in analysis of computer networks

    DOE Patents [OSTI]

    Frogner, Bjorn; Guarro, Sergio; Scharf, Guy

    2004-05-11

    A system and method are provided for creating a network performance prediction model, and calibrating the prediction model, through application of network load statistical analyses. The method includes characterizing the measured load on the network, which may include background load data obtained over time, and may further include directed load data representative of a transaction-level event. Probabilistic representations of load data are derived to characterize the statistical persistence of the network performance variability and to determine delays throughout the network. The probabilistic representations are applied to the network performance prediction model to adapt the model for accurate prediction of network performance. Certain embodiments of the method and system may be used for analysis of the performance of a distributed application characterized as data packet streams.

  1. Benefits of Thermoelectric Technology for the Automobile

    Broader source: Energy.gov [DOE]

    Discusses improved fuel efficiency and other benefits of automotive application of thermoelectric (power generation and heating/cooling) and the need for production quantities of high-efficiency thermoelectric modules

  2. WINDExchange Wind Energy Benefits Fact Sheet

    Broader source: Energy.gov [DOE]

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs. Learn more about the pros and cons of wind energy.

  3. Modeling and Analysis of Natural Gas and Gasoline In A High Compression

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

    Ratio High Efficiency ICRE | Department of Energy and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE performance of a high compression ratio (32:1 to 74:1) high efficiency (50 to 60% BTE) ICRE operating on natural gas and gasoline p-02_fitzgerald.pdf (283.34 KB) More Documents & Publications A Natural Gas, High Compression Ratio, High Efficiency ICRE

  4. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    SciTech Connect (OSTI)

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-02-01

    This report describes a Berkeley Lab effort to model the economics and operation of small-scale (<500 kW) on-site electricity generators based on real-world installations at several example customer sites. This work builds upon the previous development of the Distributed Energy Resource Customer Adoption Model (DER-CAM), a tool designed to find the optimal combination of installed equipment, and idealized operating schedule, that would minimize the site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a historic test period, usually a recent year. This study offered the first opportunity to apply DER-CAM in a real-world setting and evaluate its modeling results. DER-CAM has three possible applications: first, it can be used to guide choices of equipment at specific sites, or provide general solutions for example sites and propose good choices for sites with similar circumstances; second, it can additionally provide the basis for the operations of installed on-site generation; and third, it can be used to assess the market potential of technologies by anticipating which kinds of customers might find various technologies attractive. A list of approximately 90 DER candidate sites was compiled and each site's DER characteristics and their willingness to volunteer information was assessed, producing detailed information on about 15 sites of which five sites were analyzed in depth. The five sites were not intended to provide a random sample, rather they were chosen to provide some diversity of business activity, geography, and technology. More importantly, they were chosen in the hope of finding examples of true business decisions made based on somewhat sophisticated analyses, and pilot or demonstration projects were avoided. Information on the benefits and pitfalls of implementing a DER system was also presented from an additional ten sites including agriculture, education, health

  5. Area teachers benefit from professional development

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

    Area teachers benefit from professional development Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: September 1, 2016 all issues All Issues » submit Area teachers benefit from professional development Math and Science Academy encourages collaborative work environments. August 2, 2016 Santa Fe Community College's Early Childhood Center of Excellence Director Dr. Jennifer Duran-Sallee (left) gives a tour of the Kids Campus to Cabinet

  6. TCP1 Defined Benefit Pension Plan

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

    Pension Plan (TCP1) TCP1 Defined Benefit Pension Plan Retirement income is based on your age, service credit, and highest-average salary at retirement. Contact Your Pension Resources (YPR) TCP1 Retirement Benefit Programs Pension Plan Retirement income is based on your age, service credit, and the average of your highest 36 consecutive month salaries calculated on your retirement date. In general, the older you are and the more service credit you have, the higher your retirement income will be.

  7. CMI Program Benefits | Critical Materials Institute

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

    Program Benefits CMI Participation Benefits Affiliate Associate Team Provides cost share or has a contract for CMI project work optional required ● CMI bi-weekly newsletters and CMI monthly webinars ● ● ● Opportunities to expand engagement under appropriate contractual terms ● ● ● Representation on Industry Council ● ● Priority notification of inventions available for licensing, to the extent allowed by Fairness of Opportunity requirements ● ● CMI Annual Meetings and

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

    SciTech Connect (OSTI)

    Zheng, Nina; Zhou, Nan; Fridley, David

    2010-09-01

    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

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

    SciTech Connect (OSTI)

    Wang, Chao Yang; Luo, Gang; Jiang, Fangming; Carnes, Brian; Chen, Ken Shuang

    2010-05-01

    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.

  10. Transport Co-benefits Calculator | Open Energy Information

    Open Energy Info (EERE)

    of Use: Simple Website: pub.iges.or.jpmodulesenvirolibview.php?docid3209 Cost: Free Related Tools Global Trade and Analysis Project (GTAP) Model Ex Ante Appraisal...

  11. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

    DOE Data Explorer [Office of Scientific and Technical Information (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.

  12. Genetic Algorithms for Agent-Based Infrastructure Interdependency Modeling and Analysis

    SciTech Connect (OSTI)

    May Permann

    2007-03-01

    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.

  13. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    SciTech Connect (OSTI)

    Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

    2008-11-10

    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.

  14. Entropy analysis on non-equilibrium two-phase flow models

    SciTech Connect (OSTI)

    Karwat, H.; Ruan, Y.Q.

    1995-09-01

    A method of entropy analysis according to the second law of thermodynamics is proposed for the assessment of a class of practical non-equilibrium two-phase flow models. Entropy conditions are derived directly from a local instantaneous formulation for an arbitrary control volume of a structural two-phase fluid, which are finally expressed in terms of the averaged thermodynamic independent variables and their time derivatives as well as the boundary conditions for the volume. On the basis of a widely used thermal-hydraulic system code it is demonstrated with practical examples that entropy production rates in control volumes can be numerically quantified by using the data from the output data files. Entropy analysis using the proposed method is useful in identifying some potential problems in two-phase flow models and predictions as well as in studying the effects of some free parameters in closure relationships.

  15. CASL - Initial Modeling and Analysis of the Departure from Nucleate Boiling

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

    Challenge Problem Initial Modeling and Analysis of the Departure from Nucleate Boiling Challenge Problem Yixing Sung, Jin Yan, Zeses E. Karoutas of Westinghouse Electric Company LLC Anh V. Bui, Hongbin Zhang of Idaho National Laboratories Nam Dinh of North Carolina State University Departure from Nucleate Boiling (DNB) is one of the safety-related Challenge Problems (CP) that CASL is addressing in support of Pressurized Water Reactor (PWR) power uprate, high fuel burnup and plant lifetime

  16. Renewable Energy Deployment in Colorado and the West: A Modeling Sensitivity and GIS Analysis

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

    Renewable Energy Deployment in Colorado and the West: A Modeling Sensitivity and GIS Analysis Clayton Barrows, Trieu Mai, Scott Haase, Jennifer Melius, and Meghan Mooney National Renewable Energy Laboratory Technical Report NREL/TP-6A20-65350 March 2016 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy

  17. ANALYSIS OF TWO-PHASE FLOW MODELS WITH TWO MOMENTUM EQUATIONS.

    SciTech Connect (OSTI)

    KROSHILIN,A.E.KROSHILIN,V.E.KOHUT,P.

    2004-03-15

    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.

  18. Model-Based Analysis of the Role of Biological, Hydrological and Geochemical Factors Affecting Uranium Bioremediation

    SciTech Connect (OSTI)

    Zhao, Jiao; Scheibe, Timothy D.; Mahadevan, Radhakrishnan

    2011-01-24

    Uranium contamination is a serious concern at several sites motivating the development of novel treatment strategies such as the Geobacter-mediated reductive immobilization of uranium. However, this bioremediation strategy has not yet been optimized for the sustained uranium removal. While several reactive-transport models have been developed to represent Geobacter-mediated bioremediation of uranium, these models often lack the detailed quantitative description of the microbial process (e.g., biomass build-up in both groundwater and sediments, electron transport system, etc.) and the interaction between biogeochemical and hydrological process. In this study, a novel multi-scale model was developed by integrating our recent model on electron capacitance of Geobacter (Zhao et al., 2010) with a comprehensive simulator of coupled fluid flow, hydrologic transport, heat transfer, and biogeochemical reactions. This mechanistic reactive-transport model accurately reproduces the experimental data for the bioremediation of uranium with acetate amendment. We subsequently performed global sensitivity analysis with the reactive-transport model in order to identify the main sources of prediction uncertainty caused by synergistic effects of biological, geochemical, and hydrological processes. The proposed approach successfully captured significant contributing factors across time and space, thereby improving the structure and parameterization of the comprehensive reactive-transport model. The global sensitivity analysis also provides a potentially useful tool to evaluate uranium bioremediation strategy. The simulations suggest that under difficult environments (e.g., highly contaminated with U(VI) at a high migration rate of solutes), the efficiency of uranium removal can be improved by adding Geobacter species to the contaminated site (bioaugmentation) in conjunction with the addition of electron donor (biostimulation). The simulations also highlight the interactive effect of

  19. Adaptive Forward Modeling Method for Analysis and Reconstructions of Orientation Image Map

    Energy Science and Technology Software Center (OSTI)

    2014-06-01

    IceNine is a MPI-parallel orientation reconstruction and microstructure analysis code. It's primary purpose is to reconstruct a spatially resolved orientation map given a set of diffraction images from a high energy x-ray diffraction microscopy (HEDM) experiment (1). In particular, IceNine implements the adaptive version of the forward modeling method (2, 3). Part of IceNine is a library used to for conbined analysis of the microstructure with the experimentally measured diffraction signal. The libraries is alsomore » designed for tapid prototyping of new reconstruction and analysis algorithms. IceNine is also built with a simulator of diffraction images with an input microstructure.« less

  20. WaterSense Program: Methodology for National Water Savings Analysis Model Indoor Residential Water Use

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka

    2008-02-28

    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

  1. The shallow water equations as a hybrid flow model for the numerical and experimental analysis of hydro power stations

    SciTech Connect (OSTI)

    Ostermann, Lars; Seidel, Christian

    2015-03-10

    The numerical analysis of hydro power stations is an important method of the hydraulic design and is used for the development and optimisation of hydro power stations in addition to the experiments with the physical submodel of a full model in the hydraulic laboratory. For the numerical analysis, 2D and 3D models are appropriate and commonly used.The 2D models refer mainly to the shallow water equations (SWE), since for this flow model a large experience on a wide field of applications for the flow analysis of numerous problems in hydraulic engineering already exists. Often, the flow model is verified by in situ measurements. In order to consider 3D flow phenomena close to singularities like weirs, hydro power stations etc. the development of a hybrid fluid model is advantageous to improve the quality and significance of the global model. Here, an extended hybrid flow model based on the principle of the SWE is presented. The hybrid flow model directly links the numerical model with the experimental data, which may originate from physical full models, physical submodels and in-situ measurements. Hence a wide field of application of the hybrid model emerges including the improvement of numerical models and the strong coupling of numerical and experimental analysis.

  2. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

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

    USDOE Marianne Mintz Argonne National Lab 2 2 What is JOBS FC? JOBS FC is a user friendly model that can be used to show the economic benefits of near- to mid-term fuel cell ...

  3. Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform

    SciTech Connect (OSTI)

    Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.

    2010-02-01

    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.

  4. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect (OSTI)

    Manne, A.S.; Wene, C.O.

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled ``top-down macroeconomic`` and ``bottom-up engineering`` perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system`s costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  5. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect (OSTI)

    Manne, A.S. ); Wene, C.O. Chalmers Univ. of Tech., Goeteborg )

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled top-down macroeconomic'' and bottom-up engineering'' perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system's costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  6. Numeric-modeling sensitivity analysis of the performance of wind turbine arrays

    SciTech Connect (OSTI)

    Lissaman, P.B.S.; Gyatt, G.W.; Zalay, A.D.

    1982-06-01

    An evaluation of the numerical model created by Lissaman for predicting the performance of wind turbine arrays has been made. Model predictions of the wake parameters have been compared with both full-scale and wind tunnel measurements. Only limited, full-scale data were available, while wind tunnel studies showed difficulties in representing real meteorological conditions. Nevertheless, several modifications and additions have been made to the model using both theoretical and empirical techniques and the new model shows good correlation with experiment. The larger wake growth rate and shorter near wake length predicted by the new model lead to reduced interference effects on downstream turbines and hence greater array efficiencies. The array model has also been re-examined and now incorporates the ability to show the effects of real meteorological conditions such as variations in wind speed and unsteady winds. The resulting computer code has been run to show the sensitivity of array performance to meteorological, machine, and array parameters. Ambient turbulence and windwise spacing are shown to dominate, while hub height ratio is seen to be relatively unimportant. Finally, a detailed analysis of the Goodnoe Hills wind farm in Washington has been made to show how power output can be expected to vary with ambient turbulence, wind speed, and wind direction.

  7. Sandwich beam model for free vibration analysis of bilayer graphene nanoribbons with interlayer shear effect

    SciTech Connect (OSTI)

    Nazemnezhad, Reza E-mail: rnazemnezhad@du.ac.ir; Shokrollahi, Hassan; Hosseini-Hashemi, Shahrokh

    2014-05-07

    In this study, sandwich beam model (SM) is proposed for free vibration analysis of bilayer graphene nanoribbons (BLGNRs) with interlayer shear effect. This model also takes into account the intralayer (in-plane) stretch of graphene nanoribbons. The molecular dynamics (MD) simulations using the software LAMMPS and Adaptive Intermolecular Reactive Empirical Bond Order (AIREBO) potential are done to validate the accuracy of the sandwich model results. The MD simulation results include the two first frequencies of cantilever BLGNRs with different lengths and two interlayer shear moduli, i.e., 0.25 and 4.6 GPa. These two interlayer shear moduli, 0.25 and 4.6 GPa, can be obtained by sliding a small flake of graphene on a large graphene substrate when the parameter of E-LJ term in AIREBO potential, epsilon-CC, is set to be 2.84 and 45.44 meV, respectively. The SM results for a wide range of bending rigidity values show that the proposed model, i.e., the SM, predicts much better than the previous beam model in which the intralayer stretch is ignored. In addition, it is observed that the model can properly predict the natural frequencies of BLGNRs for various values of the bending rigidity and the interlayer shear modulus.

  8. Psychosocial Modeling of Insider Threat Risk Based on Behavioral and Word Use Analysis

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Kangas, Lars J.; Noonan, Christine F.; Brown, Christopher R.; Ferryman, Thomas A.

    2013-10-01

    In many insider crimes, managers and other coworkers observed that the offenders had exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers to using such psychosocial indicators include the inability to recognize the signs and the failure to record the behaviors so that they can be assessed. A psychosocial model was developed to assess an employee’s behavior associated with an increased risk of insider abuse. The model is based on case studies and research literature on factors/correlates associated with precursor behavioral manifestations of individuals committing insider crimes. A complementary Personality Factor modeling approach was developed based on analysis to derive relevant personality characteristics from word use. Several implementations of the psychosocial model were evaluated by comparing their agreement with judgments of human resources and management professionals; the personality factor modeling approach was examined using email samples. If implemented in an operational setting, these models should be part of a set of management tools for employee assessment to identify employees who pose a greater insider threat.

  9. An extended supersonic combustion model for the dynamic analysis of hypersonic vehicles. Interim Task Report

    SciTech Connect (OSTI)

    Bossard, J.A.; Peck, R.E.; Schmidt, D.K.

    1993-03-01

    The development of an advanced dynamic model for aeroelastic hypersonic vehicles powered by air breathing engines requires an adequate engine model. This report provides a discussion of some of the more important features of supersonic combustion and their relevance to the analysis and design of supersonic ramjet engines. Of particular interest are those aspects of combustion that impact the control of the process. Furthermore, the report summarizes efforts to enhance the aeropropulsive/aeroelastic dynamic model developed at the Aerospace Research Center of Arizona State University by focusing on combustion and improved modeling of this flow. The expanded supersonic combustor model described here has the capability to model the effects of friction, area change, and mass addition, in addition to the heat addition process. A comparison is made of the results from four cases: (1) heat addition only; (2) heat addition plus friction; (3) heat addition, friction, and area reduction, and (4) heat addition, friction, area reduction, and mass addition. The relative impact of these effects on the Mach number, static temperature, and static pressure distributions within the combustor are then shown. Finally, the effects of frozen versus equilibrium flow conditions within the exhaust plume is discussed.

  10. Supercomputer and cluster performance modeling and analysis efforts:2004-2006.

    SciTech Connect (OSTI)

    Sturtevant, Judith E.; Ganti, Anand; Meyer, Harold 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

    2007-02-01

    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.

  11. Evaluating Domestic Hot Water Distribution System Options with Validated Analysis Models

    SciTech Connect (OSTI)

    Weitzel, E.; Hoeschele, E.

    2014-09-01

    A developing body of work is forming that collects data on domestic hot water consumption, water use behaviors, and energy efficiency of various distribution systems. Transient System Simulation Tool (TRNSYS) is a full distribution system developed that has been validated using field monitoring data and then exercised in a number of climates to understand climate impact on performance. In this study, the Building America team built upon previous analysis modeling work to evaluate differing distribution systems and the sensitivities of water heating energy and water use efficiency to variations of climate, load, distribution type, insulation and compact plumbing practices. Overall, 124 different TRNSYS models were simulated. The results of this work are useful in informing future development of water heating best practices guides as well as more accurate (and simulation time efficient) distribution models for annual whole house simulation programs.

  12. Final safety analysis report for the Galileo Mission: Volume 2, Book 2: Accident model document: Appendices

    SciTech Connect (OSTI)

    Not Available

    1988-12-15

    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.

  13. Assessment of costs and benefits of flexible and alternative fuel use in the US transportation sector. Technical report twelve: Economic analysis of alternative uses for Alaskan North Slope natural gas

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    As part of the Altemative Fuels Assessment, the Department of Energy (DOE) is studying the use of derivatives of natural gas, including compressed natural gas and methanol, as altemative transportation fuels. A critical part of this effort is determining potential sources of natural gas and the economics of those sources. Previous studies in this series characterized the economics of unutilized gas within the lower 48 United States, comparing its value for methanol production against its value as a pipelined fuel (US Department of Energy 1991), and analyzed the costs of developing undeveloped nonassociated gas reserves in several countries (US Department of Energy 1992c). This report extends those analyses to include Alaskan North Slope natural gas that either is not being produced or is being reinjected. The report includes the following: A description of discovered and potential (undiscovered) quantities of natural gas on the Alaskan North Slope. A discussion of proposed altemative uses for Alaskan North Slope natural gas. A comparison of the economics of the proposed alternative uses for Alaskan North Slope natural gas. The purpose of this report is to illustrate the costs of transporting Alaskan North Slope gas to markets in the lower 48 States as pipeline gas, liquefied natural gas (LNG), or methanol. It is not intended to recommend one alternative over another or to evaluate the relative economics or timing of using North Slope gas in new tertiary oil recovery projects. The information is supplied in sufficient detail to allow incorporation of relevant economic relationships (for example, wellhead gas prices and transportation costs) into the Altemative Fuels Trade Model, the analytical framework DOE is using to evaluate various policy options.

  14. Electricity Capacity Expansion Modeling, Analysis, and Visualization. A Summary of High-Renewable Modeling Experience for China

    SciTech Connect (OSTI)

    Blair, Nate; Zhou, Ella; Getman, Dan; Arent, Douglas J.

    2015-10-01

    Mathematical and computational models are widely used for the analysis and design of both physical and financial systems. Modeling the electric grid is of particular importance to China for three reasons. First, power-sector assets are expensive and long-lived, and they are critical to any country's development. China's electric load, transmission, and other energy-related infrastructure are expected to continue to grow rapidly; therefore it is crucial to understand and help plan for the future in which those assets will operate (NDRC ERI 2015). Second, China has dramatically increased its deployment of renewable energy (RE), and is likely to continue further accelerating such deployment over the coming decades. Careful planning and assessment of the various aspects (technical, economic, social, and political) of integrating a large amount of renewables on the grid is required. Third, companies need the tools to develop a strategy for their own involvement in the power market China is now developing, and to enable a possible transition to an efficient and high RE future.

  15. Electricity Capacity Expansion Modeling, Analysis, and Visualization: A Summary of High-Renewable Modeling Experiences (Chinese Translation)

    SciTech Connect (OSTI)

    Blair, Nate; Zhou, Ella; Getman, Dan; Arent, Douglas J.

    2015-10-01

    This is the Chinese translation of NREL/TP-6A20-64831. Mathematical and computational models are widely used for the analysis and design of both physical and financial systems. Modeling the electric grid is of particular importance to China for three reasons. First, power-sector assets are expensive and long-lived, and they are critical to any country's development. China's electric load, transmission, and other energy-related infrastructure are expected to continue to grow rapidly; therefore it is crucial to understand and help plan for the future in which those assets will operate. Second, China has dramatically increased its deployment of renewable energy (RE), and is likely to continue further accelerating such deployment over the coming decades. Careful planning and assessment of the various aspects (technical, economic, social, and political) of integrating a large amount of renewables on the grid is required. Third, companies need the tools to develop a strategy for their own involvement in the power market China is now developing, and to enable a possible transition to an efficient and high RE future.

  16. The Use Of Computational Human Performance Modeling As Task Analysis Tool

    SciTech Connect (OSTI)

    Jacuqes Hugo; David Gertman

    2012-07-01

    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.

  17. Science-Based Simulation Model of Human Performance for Human Reliability Analysis

    SciTech Connect (OSTI)

    Dana L. Kelly; Ronald L. Boring; Ali Mosleh; Carol Smidts

    2011-10-01

    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.

  18. Macro-System Model: A Federated Object Model for Cross-Cutting Analysis of Hydrogen Production, Delivery, Consumption and Associated Emissions; Preprint

    SciTech Connect (OSTI)

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

    2010-12-01

    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.

  19. Thermal analysis of pentaerythritol tetranitrate and development of a powder aging model

    SciTech Connect (OSTI)

    Brown, Geoffrey W; Sandstrom, Mary M; Giambra, Anna M; Archuleta, Jose G; Monroe, Deirde C

    2009-01-01

    We have applied a range of different physical and thermal analysis techniques to characterize the thermal evolution of the specific surface area of pentaerythritol tetranitrate (PETN) powders. Using atomic force microscopy we have determined that the mass transfer mechanism leading to powder coarsening is probably sublimation and redeposition of PETN. Using thermogravimetric analysis we have measured vapor pressures of PETN powders whose aging will be simulated in future work. For one specific powder we have constructed an empirical model of the coarsening that is fit to specific surface area measurements at 60 C to 70 C to provide predictive capability of that powder's aging. Modulated differential scanning calorimetry and mass spectroscopy measurements highlight some of the thermal behavior of the powders and suggest that homologue-based eutectics and impurities are localized in the powder particles.

  20. Evaluating the risk-reduction benefits of wind energy

    SciTech Connect (OSTI)

    Brower, M.C.; Bell, K.; Bernow, S.; Duckworth, M.; Spinney P.

    1996-12-31

    This paper presents preliminary results of a study to evaluate the risk-reduction benefits of wind power for a case study utility system using decision analysis techniques. The costs and risks of two alternative decisions-whether to build a 400 MW gas-fired combined cycle plant or a 1600 MW wind plant in 2003-were compared through computer simulations as fuel prices, environmental regulatory costs, wind and conventional power plant availability, and load growth were allowed to vary. Three different market scenarios were examined: traditional regulation, a short-term power pool, and fixed-price contracts of varying duration. The study concludes that, from the perspective of ratepayers, wind energy provides a net levelized risk-reduction benefit of $3.4 to $7.8/MWh under traditional regulation, and less in the other scenarios. From the perspective of the utility plant owners, wind provides a significant risk benefit in the unregulated market scenarios but none in a regulated market. The methodology and findings should help inform utility resource planning and industry restructuring efforts. 2 figs., 3 tabs.

  1. Alternative Fuels Data Center: Ethanol Benefits and Considerations

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

    Ethanol Benefits and Considerations to someone by E-mail Share Alternative Fuels Data Center: Ethanol Benefits and Considerations on Facebook Tweet about Alternative Fuels Data Center: Ethanol Benefits and Considerations on Twitter Bookmark Alternative Fuels Data Center: Ethanol Benefits and Considerations on Google Bookmark Alternative Fuels Data Center: Ethanol Benefits and Considerations on Delicious Rank Alternative Fuels Data Center: Ethanol Benefits and Considerations on Digg Find More

  2. Alternative Fuels Data Center: Hydrogen Benefits and Considerations

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

    Benefits and Considerations to someone by E-mail Share Alternative Fuels Data Center: Hydrogen Benefits and Considerations on Facebook Tweet about Alternative Fuels Data Center: Hydrogen Benefits and Considerations on Twitter Bookmark Alternative Fuels Data Center: Hydrogen Benefits and Considerations on Google Bookmark Alternative Fuels Data Center: Hydrogen Benefits and Considerations on Delicious Rank Alternative Fuels Data Center: Hydrogen Benefits and Considerations on Digg Find More places

  3. BENEFIT 2015 Funding Opportunity Webinar | Department of Energy

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

    5 Funding Opportunity Webinar BENEFIT 2015 Funding Opportunity Webinar View the BENEFIT Funding Opportunity Webinar #2 or see the presentation slides below. View the BENEFIT Funding Opportunity Webinar #1 or see the presentation slides below. BENEFIT FOA-0001166 Informational Webinar #2 BENEFIT FOA-0001166 Informational Webinar #1 These webinars provide an overview of the BENEFIT 2015 Funding Opportunity. You also can read the text version of the first webinar and the second webinar. The

  4. Los Alamos National Laboratory New Hire Benefits Orientation

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

    New Hire Benefits Orientation Agenda § Eligibility § Forms § Benefit Plans Review § 401(k) § Important Dates § Reminders § Questions UNCLASSIFIED | 2 Operated by Los Alamos National Security, LLC for the U.S. Department of Energy's NNSA UNCLASSIFIED | 3 Benefits Eligibility § Full Benefits - Regular, full and part time (50%) employees § Limited Benefits - Casual status employees § Assignments not eligible for LANL benefits: - High school co-op - Lab associate - Bargaining unit employee

  5. Renewable Portfolio Standards: Costs and Benefits (Poster)

    SciTech Connect (OSTI)

    Bird, L.; Heeter, J.; Barbose, G.; Weaver, S.; Flores, F.; Kuskova-Burns, K.; Wiser, R.

    2014-10-01

    This report summarizes state-level RPS costs to date, and considers how those costs may evolve going forward given scheduled increases in RPS targets and cost containment mechanisms. The report also summarizes RPS benefits estimates, based on published studies for individual states and discusses key methodological considerations.

  6. Societal Benefits of smart metering investments

    SciTech Connect (OSTI)

    Neenan, Bernard; Hemphill, Ross C.

    2008-10-15

    Implementing smart metering involves complex interactions that may generate many new sources of benefits. It is a potentially powerful enabler, one with considerable - but still speculative - potential that is highly dependent on how the technology is utilized by utilities and supported by their regulators. (author)

  7. Contractor Employee Pension and Medical Benefits Policy

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

    2006-06-19

    To ensure that reimbursement of costs incurred by Department of Energy (DOE) contractors' pension and medical benefits are reasonable in accordance with applicable laws, regulations and contract requirements and reflect prudent business practices. This directive has been suspended as of June 19, 2006, for 1 year. For more information, see DOE N 251.66.

  8. Renewable Portfolio Standards Benefits and Impacts

    Broader source: Energy.gov [DOE]

    Please join us for a free webinar summarizing key findings from a recent report published jointly by the U.S. Department of Energy's National Renewable Energy Laboratory and Lawrence Berkeley National Laboratory that evaluates the benefits and impacts of state renewable portfolio standard (RPS) policies.

  9. A preliminary benefit-cost study of a Sandia wind farm.

    SciTech Connect (OSTI)

    Ehlen, Mark Andrew; Griffin, Taylor; Loose, Verne W.

    2011-03-01

    In response to federal mandates and incentives for renewable energy, Sandia National Laboratories conducted a feasibility study of installing an on-site wind farm on Sandia National Laboratories and Kirtland Air Force Base property. This report describes this preliminary analysis of the costs and benefits of installing and operating a 15-turbine, 30-MW-capacity wind farm that delivers an estimated 16 percent of 2010 onsite demand. The report first describes market and non-market economic costs and benefits associated with operating a wind farm, and then uses a standard life-cycle costing and benefit-cost framework to estimate the costs and benefits of a wind farm. Based on these 'best-estimates' of costs and benefits and on factor, uncertainty and sensitivity analysis, the analysis results suggest that the benefits of a Sandia wind farm are greater than its costs. The analysis techniques used herein are applicable to the economic assessment of most if not all forms of renewable energy.

  10. A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model

    SciTech Connect (OSTI)

    Gan, Yanjun; Duan, Qingyun; Gong, Wei; Tong, Charles; Sun, Yunwei; Chu, Wei; Ye, Aizhong; Miao, Chiyuan; Di, Zhenhua

    2014-01-01

    Sensitivity analysis (SA) is a commonly used approach for identifying important parameters that dominate model behaviors. We use a newly developed software package, a Problem Solving environment for Uncertainty Analysis and Design Exploration (PSUADE), to evaluate the effectiveness and efficiency of ten widely used SA methods, including seven qualitative and three quantitative ones. All SA methods are tested using a variety of sampling techniques to screen out the most sensitive (i.e., important) parameters from the insensitive ones. The Sacramento Soil Moisture Accounting (SAC-SMA) model, which has thirteen tunable parameters, is used for illustration. The South Branch Potomac River basin near Springfield, West Virginia in the U.S. is chosen as the study area. The key findings from this study are: (1) For qualitative SA methods, Correlation Analysis (CA), Regression Analysis (RA), and Gaussian Process (GP) screening methods are shown to be not effective in this example. Morris One-At-a-Time (MOAT) screening is the most efficient, needing only 280 samples to identify the most important parameters, but it is the least robust method. Multivariate Adaptive Regression Splines (MARS), Delta Test (DT) and Sum-Of-Trees (SOT) screening methods need about 400–600 samples for the same purpose. Monte Carlo (MC), Orthogonal Array (OA) and Orthogonal Array based Latin Hypercube (OALH) are appropriate sampling techniques for them; (2) For quantitative SA methods, at least 2777 samples are needed for Fourier Amplitude Sensitivity Test (FAST) to identity parameter main effect. McKay method needs about 360 samples to evaluate the main effect, more than 1000 samples to assess the two-way interaction effect. OALH and LPτ (LPTAU) sampling techniques are more appropriate for McKay method. For the Sobol' method, the minimum samples needed are 1050 to compute the first-order and total sensitivity indices correctly. These comparisons show that qualitative SA methods are more efficient

  11. A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model

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

    Gan, Yanjun; Duan, Qingyun; Gong, Wei; Tong, Charles; Sun, Yunwei; Chu, Wei; Ye, Aizhong; Miao, Chiyuan; Di, Zhenhua

    2014-01-01

    Sensitivity analysis (SA) is a commonly used approach for identifying important parameters that dominate model behaviors. We use a newly developed software package, a Problem Solving environment for Uncertainty Analysis and Design Exploration (PSUADE), to evaluate the effectiveness and efficiency of ten widely used SA methods, including seven qualitative and three quantitative ones. All SA methods are tested using a variety of sampling techniques to screen out the most sensitive (i.e., important) parameters from the insensitive ones. The Sacramento Soil Moisture Accounting (SAC-SMA) model, which has thirteen tunable parameters, is used for illustration. The South Branch Potomac River basin nearmore » Springfield, West Virginia in the U.S. is chosen as the study area. The key findings from this study are: (1) For qualitative SA methods, Correlation Analysis (CA), Regression Analysis (RA), and Gaussian Process (GP) screening methods are shown to be not effective in this example. Morris One-At-a-Time (MOAT) screening is the most efficient, needing only 280 samples to identify the most important parameters, but it is the least robust method. Multivariate Adaptive Regression Splines (MARS), Delta Test (DT) and Sum-Of-Trees (SOT) screening methods need about 400–600 samples for the same purpose. Monte Carlo (MC), Orthogonal Array (OA) and Orthogonal Array based Latin Hypercube (OALH) are appropriate sampling techniques for them; (2) For quantitative SA methods, at least 2777 samples are needed for Fourier Amplitude Sensitivity Test (FAST) to identity parameter main effect. McKay method needs about 360 samples to evaluate the main effect, more than 1000 samples to assess the two-way interaction effect. OALH and LPτ (LPTAU) sampling techniques are more appropriate for McKay method. For the Sobol' method, the minimum samples needed are 1050 to compute the first-order and total sensitivity indices correctly. These comparisons show that qualitative SA methods are more

  12. Levelized Cost of Energy Analysis of Marine and Hydrokinetic Reference Models: Preprint

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

    Levelized Cost of Energy Analysis of Marine and Hydrokinetic Reference Models Preprint D. S. Jenne and Y.-H. Yu National Renewable Energy Laboratory V. Neary Sandia National Laboratories To be presented at the 3 rd Marine Energy Technology Symposium (METS 2015) Washington, D.C. April 27-29, 2015 Conference Paper NREL/CP-5000-64013 April 2015 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government

  13. Analysis of Heat Dissipation in Li-Ion Cells & Modules for Modeling of Thermal Runaway (Presentation)

    SciTech Connect (OSTI)

    Kim, G.-H.; Pesaran, A.

    2007-05-15

    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.

  14. Symmetry analysis of many-body wave functions, with applications to the nuclear shell model

    SciTech Connect (OSTI)

    Novoselsky, A. ); Katriel, J. )

    1995-01-01

    The weights of the different permutational symmetry components of a nonsymmetry-adapted many-particle wave function are evaluated in terms of the expectation values of the symmetric-group class sums. This facilitates the evaluation of the weights without the construction of a complete set of symmetry adapted functions. Subspace projection operators are introduced, to be used when prior knowledge about the symmetry-species composition of a wave function is available. The permutational weight analysis of a recursively angular-momentum coupled (shell model) wave function is presented as an illustration.

  15. Waste-to-wheel analysis of anaerobic-digestion-based renewable natural gas pathways with the GREET model.

    SciTech Connect (OSTI)

    Han, J.; Mintz, M.; Wang, M.

    2011-12-14

    In 2009, manure management accounted for 2,356 Gg or 107 billion standard cubic ft of methane (CH{sub 4}) emissions in the United States, equivalent to 0.5% of U.S. natural gas (NG) consumption. Owing to the high global warming potential of methane, capturing and utilizing this methane source could reduce greenhouse gas (GHG) emissions. The extent of that reduction depends on several factors - most notably, how much of this manure-based methane can be captured, how much GHG is produced in the course of converting it to vehicular fuel, and how much GHG was produced by the fossil fuel it might displace. A life-cycle analysis was conducted to quantify these factors and, in so doing, assess the impact of converting methane from animal manure into renewable NG (RNG) and utilizing the gas in vehicles. Several manure-based RNG pathways were characterized in the GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation) model, and their fuel-cycle energy use and GHG emissions were compared to petroleum-based pathways as well as to conventional fossil NG pathways. Results show that despite increased total energy use, both fossil fuel use and GHG emissions decline for most RNG pathways as compared with fossil NG and petroleum. However, GHG emissions for RNG pathways are highly dependent on the specifics of the reference case, as well as on the process energy emissions and methane conversion factors assumed for the RNG pathways. The most critical factors are the share of flared controllable CH{sub 4} and the quantity of CH{sub 4} lost during NG extraction in the reference case, the magnitude of N{sub 2}O lost in the anaerobic digestion (AD) process and in AD residue, and the amount of carbon sequestered in AD residue. In many cases, data for these parameters are limited and uncertain. Therefore, more research is needed to gain a better understanding of the range and magnitude of environmental benefits from converting animal manure to RNG via AD.

  16. On Modeling and Analysis of MIMO Wireless Mesh Networks with Triangular Overlay Topology

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

    Cao, Zhanmao; Wu, Chase Q.; Zhang, Yuanping; Shiva, Sajjan G.; Gu, Yi

    2015-01-01

    Multiple input multiple output (MIMO) wireless mesh networks (WMNs) aim to provide the last-mile broadband wireless access to the Internet. Along with the algorithmic development for WMNs, some fundamental mathematical problems also emerge in various aspects such as routing, scheduling, and channel assignment, all of which require an effective mathematical model and rigorous analysis of network properties. In this paper, we propose to employ Cartesian product of graphs (CPG) as a multichannel modeling approach and explore a set of unique properties of triangular WMNs. In each layer of CPG with a single channel, we design a node coordinate scheme thatmore » retains the symmetric property of triangular meshes and develop a function for the assignment of node identity numbers based on their coordinates. We also derive a necessary-sufficient condition for interference-free links and combinatorial formulas to determine the number of the shortest paths for channel realization in triangular WMNs.« less

  17. Modeling of the Sedimentary Interbedded Basalt Stratigraphy for the Idaho National Laboratory Probabilistic Seismic Hazard Analysis

    SciTech Connect (OSTI)

    Suzette Payne

    2006-04-01

    This report summarizes how the effects of the sedimentary interbedded basalt stratigraphy were modeled in the probabilistic seismic hazard analysis (PSHA) of the Idaho National Laboratory (INL). Drill holes indicate the bedrock beneath INL facilities is composed of about 1.1 km of alternating layers of basalt rock and loosely consolidated sediments. Alternating layers of hard rock and “soft” loose sediments tend to attenuate seismic energy greater than uniform rock due to scattering and damping. The INL PSHA incorporated the effects of the sedimentary interbedded basalt stratigraphy by developing site-specific shear (S) wave velocity profiles. The profiles were used in the PSHA to model the near-surface site response by developing site-specific stochastic attenuation relationships.

  18. Modeling of the Sedimentary Interbedded Basalt Stratigraphy for the Idaho National Laboratory Probabilistic Seismic Hazard Analysis

    SciTech Connect (OSTI)

    Suzette Payne

    2007-08-01

    This report summarizes how the effects of the sedimentary interbedded basalt stratigraphy were modeled in the probabilistic seismic hazard analysis (PSHA) of the Idaho National Laboratory (INL). Drill holes indicate the bedrock beneath INL facilities is composed of about 1.1 km of alternating layers of basalt rock and loosely consolidated sediments. Alternating layers of hard rock and “soft” loose sediments tend to attenuate seismic energy greater than uniform rock due to scattering and damping. The INL PSHA incorporated the effects of the sedimentary interbedded basalt stratigraphy by developing site-specific shear (S) wave velocity profiles. The profiles were used in the PSHA to model the near-surface site response by developing site-specific stochastic attenuation relationships.

  19. Model-independent analysis of the Fermilab Tevatron turn-by-turn beam position monitor measurements

    SciTech Connect (OSTI)

    Petrenko, A.V.; Valishev, A.A.; Lebedev, V.A.; /Fermilab

    2011-09-01

    Coherent transverse beam oscillations in the Tevatron were analyzed with the model-independent analysis (MIA) technique. This allowed one to obtain the model-independent values of coupled betatron amplitudes, phase advances, and dispersion function around the ring from a single dipole kick measurement. In order to solve the MIA mode mixing problem which limits the accuracy of determination of the optical functions, we have developed a new technique of rotational MIA mode untangling. The basic idea is to treat each beam position monitor (BPM) as two BPMs separated in a ring by exactly one turn. This leads to a simple criterion of MIA mode separation: the betatron phase advance between any BPM and its counterpart shifted by one turn should be equal to the betatron tune and therefore should not depend on the BPM position in the ring. Furthermore, we describe a MIA-based technique to locate vibrating magnets in a storage ring.

  20. Renewable Energy Price-Stability Benefits in Utility Green Power...

    Office of Scientific and Technical Information (OSTI)

    Price-Stability Benefits in Utility Green Power Programs. 36 pp Citation Details In-Document Search Title: Renewable Energy Price-Stability Benefits in Utility Green Power ...