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1

National Energy Modeling System (NEMS)  

DOE Data Explorer (OSTI)

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

2

Availability of the National Energy Modeling System (NEMS) Archive.  

U.S. Energy Information Administration (EIA)

Availability of the National Energy Modeling System (NEMS) Archive. NEMS has been developed primarily for use by the modelers at Energy Information

3

Industrial Demand Module 1999, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

1999-01-01T23:59:59.000Z

4

Industrial Demand Module 2005, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2005-05-01T23:59:59.000Z

5

Industrial Demand Module 2006, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2006-07-01T23:59:59.000Z

6

Industrial Demand Module 2009, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2009-05-20T23:59:59.000Z

7

Industrial Demand Module 2003, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2003-12-01T23:59:59.000Z

8

Industrial Demand Module 2007, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2007-03-21T23:59:59.000Z

9

Industrial Demand Module 2002, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2001-12-01T23:59:59.000Z

10

Industrial Demand Module 2001, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-12-01T23:59:59.000Z

11

Industrial Demand Module 2008, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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

T. C. Honeycutt

2008-06-01T23:59:59.000Z

12

Industrial Demand Module 2000, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2000-01-01T23:59:59.000Z

13

Industrial Demand Module 2004, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

T. Crawford Honeycutt

2004-02-01T23:59:59.000Z

14

National Energy Modeling System (NEMS) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and

15

Industrial Demand Module 1998, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description ofthe NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in supportof its models (Public Law 94-385, section 57.b2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

T. Crawford Honeycutt

1998-01-01T23:59:59.000Z

16

The National Energy Modeling System: An Overview 1998 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

OVERVIEW OF NEMS OVERVIEW OF NEMS blueball.gif (205 bytes) Major Assumptions blueball.gif (205 bytes) NEMS Modular Structure blueball.gif (205 bytes) Integrating Module NEMS represents domestic energy markets by explicitly representing the economic decisionmaking involved in the production, conversion, and consumption of energy products. For example, the penetration of a new or advanced technology for electricity generation is projected only if the technology is deemed to be economic when considering the cost-minimizing mix of fuels over the life of the equipment. Since energy costs and availability and energy- consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to

17

The National Energy Modeling System: An Overview 2000 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. Since energy costs and availability and energy-consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to facilitate policy analysis and ensure the validity of the results. A summary of the detail provided in NEMS is shown below. Summary Table Major Assumptions Each module of NEMS embodies many assumptions and data to characterize the future production, conversion, or consumption of energy in the United States. Two major assumptions concern economic growth in the United States and world oil prices, as determined by world oil supply and demand.

18

Modeling Distributed Electricity Generation in the NEMS Buildings Models  

Reports and Publications (EIA)

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

Erin Boedecker

2011-01-25T23:59:59.000Z

19

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

SciTech Connect

This report describes how Learning-by-Doing (LBD) is implemented endogenously in the National Energy Modeling System (NEMS) for generating plants. LBD is experiential learning that correlates to a generating technology's capacity growth. The annual amount of Learning-by-Doing affects the annual overnight cost reduction. Currently, there is no straightforward way to integrate and make sense of all the diffuse information related to the endogenous learning calculation in NEMS. This paper organizes the relevant information from the NEMS documentation, source code, input files, and output files, in order to make the model's logic more accessible. The end results are shown in three ways: in a simple spreadsheet containing all the parameters related to endogenous learning; by an algorithm that traces how the parameters lead to cost reductions; and by examples showing how AEO 2004 forecasts the reduction of overnight costs for generating technologies over time.

Gumerman, Etan; Marnay, Chris

2004-01-16T23:59:59.000Z

20

DOE Hydrogen Analysis Repository: NEMS-H2 (National Energy Modeling...  

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

economic aspects of hydrogen production, delivery, and consumption. Keywords: Energy prices; emissions; production; imports; energy consumption; economic Purpose NEMS projects...

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


21

NEMS industrial module documentation report  

SciTech Connect

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

1994-01-01T23:59:59.000Z

22

NEMS integrating module documentation report  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to a variety of assumptions. The assumptions encompass macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, technology characteristics, and demographics. NEMS produces a general equilibrium solution for energy supply and demand in the U.S. energy markets on an annual basis through 2015. Baseline forecasts from NEMS are published in the Annual Energy Outlook. Analyses are also prepared in response to requests by the U.S. Congress, the DOE Office of Policy, and others. NEMS was first used for forecasts presented in the Annual Energy Outlook 1994.

NONE

1997-05-01T23:59:59.000Z

23

NEMS integrating module documentation report  

Science Conference Proceedings (OSTI)

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

Not Available

1993-12-14T23:59:59.000Z

24

Overview of NEMS-H2, Version 1.0  

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

NEMS-H2, Version 1.0 NEMS-H2, Version 1.0 Frances Wood OnLocation, Inc., Energy Systems Consulting (fwood@onlocationinc.com) January 26, 2006 OnLocation, Inc., Energy Systems Consulting 2 Today's Presentation * Overview of NEMS-H2 Structure * Current Status * New Hydrogen Market Module (HMM) * Transportation Module Modifications * Preliminary Test Runs * Looking Ahead to Next Phase OnLocation, Inc., Energy Systems Consulting 3 NEMS Overview * The National Energy Modeling System (NEMS) was developed and is maintained by EIA - Annual Energy Outlook projections - Congressional as well as agency requests * NEMS has also been used extensively outside of EIA - Various National Laboratories studies - National Commission on Energy Policy - Program offices within DOE for R&D benefits estimation * Modular structure allows each sector to be represented by

25

EIA Buildings Analysis of Consumer Behavior in NEMS  

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

Buildings Analysis of Consumer Buildings Analysis of Consumer Behavior in NEMS Behavioral Economics Experts Meeting July 17, 2013 | Washington, DC David Peterson Buildings Energy Consumption and Efficiency Analysis Overview Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 2 * NEMS Structure * Housing/floorspace and service demand in Residential Demand Module (RDM) and Commercial Demand Module (CDM) * Market share calculation for equipment in RDM and CDM * Price responses / elasticities * Distributed generation (DG) & combined heat and power (CHP) NEMS Structure Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 3 * Represents energy supply, conversion, and demand in a unified, but modular system * Detailed structural and process models in most energy sectors

26

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

E-Print Network (OSTI)

and maintenance (O&M) costs, renewable energy productionrenewable energy technologies are modeled becomes critical. The structure of NEMS makes cost

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

2001-01-01T23:59:59.000Z

27

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

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

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

2005-07-01T23:59:59.000Z

28

Nanotribology and nanomechanics of MEMS/NEMS and BioMEMS/BioNEMS materials and devices  

Science Conference Proceedings (OSTI)

The micro/nanoelectromechanical systems (MEMS/NEMS) need to be designed to perform expected functions typically in millisecond to picosecond range. Expected life of the devices for high speed contacts can vary from few hundred thousand to many billions ... Keywords: MEMS, NEMS, Nanomaterials characterization, Nanomechanics, Nanotechnology

Bharat Bhushan

2007-03-01T23:59:59.000Z

29

Investigation of residential central air conditioning load shapes in NEMS  

SciTech Connect

This memo explains what Berkeley Lab has learned about how the residential central air-conditioning (CAC) end use is represented in the National Energy Modeling System (NEMS). NEMS is an energy model maintained by the Energy Information Administration (EIA) that is routinely used in analysis of energy efficiency standards for residential appliances. As part of analyzing utility and environmental impacts related to the federal rulemaking for residential CAC, lower-than-expected peak utility results prompted Berkeley Lab to investigate the input load shapes that characterize the peaky CAC end use and the submodule that treats load demand response. Investigations enabled a through understanding of the methodology by which hourly load profiles are input to the model and how the model is structured to respond to peak demand. Notably, it was discovered that NEMS was using an October-peaking load shape to represent residential space cooling, which suppressed peak effects to levels lower than expected. An apparent scaling down of the annual load within the load-demand submodule was found, another significant suppressor of the peak impacts. EIA promptly responded to Berkeley Lab's discoveries by updating numerous load shapes for the AEO2002 version of NEMS; EIA is still studying the scaling issue. As a result of this work, it was concluded that Berkeley Lab's customary end-use decrement approach was the most defensible way for Berkeley Lab to perform the recent CAC utility impact analysis. This approach was applied in conjunction with the updated AEO2002 load shapes to perform last year's published rulemaking analysis. Berkeley Lab experimented with several alternative approaches, including modifying the CAC efficiency level, but determined that these did not sufficiently improve the robustness of the method or results to warrant their implementation. Work in this area will continue in preparation for upcoming rulemakings for the other peak coincident end uses, commercial air conditioning and distribution transformers.

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

2002-05-01T23:59:59.000Z

30

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

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

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

2005-07-01T23:59:59.000Z

31

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

32

NEMS may be addressed to the following analysts:  

E-Print Network (OSTI)

This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. PREFACE The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document

An Overview; Aeo Susan H. Holte

2000-01-01T23:59:59.000Z

33

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

E-Print Network (OSTI)

The National Energy Modeling System (NEMS) is a comprehensive, computer-based, energy-economy modeling system developed and maintained by the Department of Energy's Energy Information Administration (EIA). NEMS forecasts the national production, imports, conversion, consumption, and prices of energy out to 2015, subject to macroeconomic assumptions, world energy markets, resource availability and costs, technological developments, and behavioral and technological choice criteria. NEMS has nine program modules of which the Commercial Sector Demand (CSD) module is one. Currently the CSD module uses a matrix of Energy Use Intensities (EUls) gleaned from the 1989 CBECS database to model service demand per major fuel type for eight different geographic census divisions and eleven different building types.

O'Neal, D. L.

1996-01-01T23:59:59.000Z

34

Investigation of residential central air conditioning load shapes in NEMS  

E-Print Network (OSTI)

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

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

2002-01-01T23:59:59.000Z

35

Appendix C: Map of NEMS Electricity Market Module Regions  

Annual Energy Outlook 2012 (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix C: Map of NEMS Electricity Market Module Regions...

36

Appendix C. Map of NEMS Electricity Market Module Regions  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Hall Appendix C. Map of NEMS Electricity Market Module Regions...

37

EIA - The National Energy Modeling System: An Overview 2003-Overview of  

Gasoline and Diesel Fuel Update (EIA)

Overview of NEMS Overview of NEMS The National Energy Modeling System: An Overview 2003 Overview of NEMS NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. Summary of NEMS Detail Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Figure 1. Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 2. National Energy Modeling System. Need help, contact the National Energy Information Center at 202-586-8800. Since energy costs and availability and energy-consuming characteristics

38

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

E-Print Network (OSTI)

Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model developed for industrial energy analysis at the Pacific Northwest National Laboratory. Although the results are mixed, generally ITEMS show greater penetration of energy efficient technologies and thus lower energy use, even though the business as usual forecasts for ITEMS uses a higher discount rate than NEMS uses.

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

2000-04-01T23:59:59.000Z

39

DOE/EIA-0581(2000) The National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

NEMS NEMS represents domestic energy markets by ex- plicitly representing the economic decision making involved in the production, conversion, and con- sumption of energy products. Where possible, NEMS includes explicit representation of energy technolo- gies and their characteristics. Since energy costs and availability and en- ergy-consuming characteristics can vary widely across regions, considerable regional detail is in- cluded. Other details of production and consumption cate- gories are represented to facilitate policy analysis and en- sure the validity of the results. A summary of the detail provided in NEMS is shown below. Major Assumptions Each module of NEMS embodies many assumptions and data to characterize the future production, conversion, or consumption of energy in the United States. Two major Energy Information Administration/The National Energy Modeling

40

Buried Waste Integrated Demonstration stakeholder involvement model  

Science Conference Proceedings (OSTI)

The Buried Waste Integrated Demonstration (BWID) is a program funded by the US Department of Energy (DOE) Office of Technology Development. BWID supports the applied research, development, demonstration, and evaluation of a suite of advanced technologies that together form a comprehensive remediation system for the effective and efficient remediation of buried waste. Stakeholder participation in the DOE Environmental Management decision-making process is critical to remediation efforts. Appropriate mechanisms for communication with the public, private sector, regulators, elected officials, and others are being aggressively pursued by BWID to permit informed participation. This document summarizes public outreach efforts during FY-93 and presents a strategy for expanded stakeholder involvement during FY-94.

Kaupanger, R.M.; Kostelnik, K.M.; Milam, L.M.

1994-04-01T23:59:59.000Z

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


41

Incorporating uncertainty in vehicle miles traveled projections of the National Energy Modeling System.  

E-Print Network (OSTI)

??The National Energy Modeling System (NEMS) is a computational model that forecasts the production, consumption, and prices of energy in the United States. Although NEMS… (more)

Poetting, David Michael

2011-01-01T23:59:59.000Z

42

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

DOE Green Energy (OSTI)

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

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

2001-01-01T23:59:59.000Z

43

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

44

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

DOE Green Energy (OSTI)

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

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

2009-12-03T23:59:59.000Z

45

Testing alternative models of individuals' social media involvement and satisfaction  

Science Conference Proceedings (OSTI)

This study extends the Technology Acceptance Model 3 (TAM 3) within the context of the rapidly evolving area of social media. Since social media requires the user's active participation and processing of information as well as the creation of user-generated ... Keywords: Involvement, Social media sites, Social media usage intention, TAM 3, Three alternative models, User satisfaction

Jeen-Su Lim, Abdulrahman Al-Aali, John H. Heinrichs, Kee-Sook Lim

2013-11-01T23:59:59.000Z

46

Modeling Distributed Electricity Generation in the NEMS Buildings ...  

U.S. Energy Information Administration (EIA)

Gas Turbine . 900 29 . 900 29 . 900 29 . 900 ... Gas Microturbine . 800 27 . 700 27 . 700 27 . 700 ...

47

Microsoft Word - NEMS CO2 MARKET MODEL FINAL REPORT - APPENDICES...  

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

CO2CCCST(MNUMNR,MJUMPYR) 87metric ton CO2 co2mminc Regional CO2 capture and compression costs EORRESMAX(MNUMNR) Million bbls oil co2mminc Regional Gross EOR reserve limit based...

48

Nanoelectromechanical (NEM) relays integrated with CMOS SRAM for improved stability and low leakage  

Science Conference Proceedings (OSTI)

We present a hybrid nanoelectromechanical (NEM)/CMOS static random access memory (SRAM) cell, in which the two pull-down transistors of a conventional CMOS six transistor (6T) SRAM cell are replaced with NEM relays. This SRAM cell utilizes the infinite ...

Soogine Chong; Kerem Akarvardar; Roozbeh Parsa; Jun-Bo Yoon; Roger T. Howe; Subhasish Mitra; H.-S. Philip Wong

2009-11-01T23:59:59.000Z

49

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

E-Print Network (OSTI)

LBNL-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Jesse A. Cohen, Jennifer L Efficiency and Renewable Energy, Office of Planning, Budget, and Analysis of the U.S. Department of Energy-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Prepared for the Office of Planning

50

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

E-Print Network (OSTI)

Technology 3.1 Introduction Nano-electro-mechanical (NEM)improvements, a scaled nano-relay technology with optimizedNano-Electro-Mechanical (NEM) Relay Devices and Technology

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

51

Boron injection/dilution capabilities in TRACB/NEM coupled code  

SciTech Connect

The coupled code TRAC-BF1/NEM is a thermal-hydraulic-neutronic code which allows transient simulations considering neutronic 3D and thermal-hydraulic process in multiple channels with one-dimensional geometry. TRAC-BF1 and NEM can be executed either in stand-alone mode, i.e. without coupling, as well as coupled. In stand-alone calculations NEM code is used without coupling and the thermal-hydraulic conditions (fuel temperature, moderator density and boron concentration) and xenon concentration for each node are taken from the SIMULATE3 output files. The NEM's source code has been modified to be able to read these conditions from external files when it is executed without being coupled. The coupling between TRAC-BF1 and NEM follows an integration scheme in which the thermal-hydraulic solution of TRAC-BF1 is sent to NEM to incorporate the feedback effects through the cross sections. TRAC-BF1 solves heat conduction equations inside of the heat structures using the 3D power distribution from NEM. The coupling is carried out through the communication protocol functions of PVM (Parallel Virtual Machine). The present article presents a study which constitutes an advance in the simulation of injection, transport and mix of boron in the reactor, increasing the capabilities of TRAC-BF1/NEM coupled code. This article shows the modifications introduced in the TRAC-BF1/NEM's source code to allow a more realistic simulation of boron injection transients. The qualification of these improvements in both codes is performed simulating a steady state of a generic BWR at nominal power. The results have been compared with SIMULATE3 which is used as a reference to obtain the cross sections through the SIMTAB methodology. (authors)

Jambrina, A.; Barrachina, T.; Miro, R.; Verdu, G. [Inst. for the Industrial, Radiophysical and Environmental Safety ISIRYM, Universitat Politecnica de Valencia UPV (Spain)

2012-07-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

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

Velasquez-Heller, Luis Fernand

53

Estimating the environmental and economic effects of widespread residential PV adoption using GIS and NEMS  

Science Conference Proceedings (OSTI)

This paper describes a study of the national effects of widespread adoption of grid-connected residential rooftop photovoltaic (PV) systems. A Geographic Information System (GIS) model is used to estimate potential PV system adoption and PV electricity generation and the National Energy Modeling System (NEMS) is used to estimate the national effects of PV electricity generation. Adoption is assumed to occur if levelized PV system cost is less than the local average retail electricity rate at the country level. An estimate of the current {open_quotes}best{close_quotes} scenario (defined by a 6.5% real interest rate, 30-year loan life, $6{sub 1994}/W system cost, and $4{sub 1994}/month voluntary premium) results in no adoption. Several scenarios designed to stimulate PV adoption are modeled. As an example, if PV system costs are instead assumed to be $3{sub 1994}/W, rooftop systems are found to be cost effective in 16% of detached single-family households in the U.S. by 2015 (assuming full adoption of 4-kW systems), this results in 82.1 TWh of annual PV electricity generation, 170 TWh of avoided electricity transmission, distribution, and generation losses, 6 Mt/a of avoided carbon emissions, 50 kt/a of avoided NOx emissions, and 27.3 GW of avoided electricity generating capacity in place.

Marnay, C.; Richey, R.C.; Mahler, S.A. [and others

1997-10-01T23:59:59.000Z

54

Workshop on Opportunities for Magnetism in MEMS/NEMS, April 16-17, 2010  

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

Opportunities for Magnetism in MEMS/NEMS Opportunities for Magnetism in MEMS/NEMS Argonne National Laboratory - April 16-17, 2010 Sponsored by NSF, NIST and Argonne National Laboratory Friday, April 16 13:00 Welcome and Introduction Chair: John Moreland 13:10 Pritiraj Mohanty Boston University "Study of Spin Dynamics using Nanomechanics" 13:50 T. Mitch Wallis NIST, Boulder "Measurement of the Einstein-de Haas Effect with a Microcantilever" 14:30 Albrecht Jander Oregon State University "Application of Torques to Nanostructures using Ferromagnetic Resonance" 15:10 Coffee Break Chair: Dennis Greywall 15:30 Rassul Karabalin Caltech "Next-Generation NEMS Functionality Enable by Advances in Novel Materials"

55

Large-area low-temperature ultrananocrystaline diamond (UNCD) films and integration with CMOS devices for monolithically integrated diamond MEMD/NEMS-CMOS systems.  

SciTech Connect

Because of exceptional mechanical, chemical, and tribological properties, diamond has a great potential to be used as a material for the development of high-performance MEMS and NEMS such as resonators and switches compatible with harsh environments, which involve mechanical motion and intermittent contact. Integration of such MEMS/NEMS devices with complementary metal oxide semiconductor (CMOS) microelectronics will provide a unique platform for CMOS-driven commercial MEMS/NEMS. The main hurdle to achieve diamond-CMOS integration is the relatively high substrate temperatures (600-800 C) required for depositing conventional diamond thin films, which are well above the CMOS operating thermal budget (400 C). Additionally, a materials integration strategy has to be developed to enable diamond-CMOS integration. Ultrananocrystalline diamond (UNCD), a novel material developed in thin film form at Argonne, is currently the only microwave plasma chemical vapor deposition (MPCVD) grown diamond film that can be grown at 400 C, and still retain exceptional mechanical, chemical, and tribological properties comparable to that of single crystal diamond. We have developed a process based on MPCVD to synthesize UNCD films on up to 200 mm in diameter CMOS wafers, which will open new avenues for the fabrication of monolithically integrated CMOS-driven MEMS/NEMS based on UNCD. UNCD films were grown successfully on individual Si-based CMOS chips and on 200 mm CMOS wafers at 400 C in a MPCVD system, using Ar-rich/CH4 gas mixture. The CMOS devices on the wafers were characterized before and after UNCD deposition. All devices were performing to specifications with very small degradation after UNCD deposition and processing. A threshold voltage degradation in the range of 0.08-0.44V and transconductance degradation in the range of 1.5-9% were observed.

Sumant, A.V.; Auciello, O.; Yuan, H.-C; Ma, Z.; Carpick, R. W.; Mancini, D. C.; Univ. of Wisconsin; Univ. of Pennsylvania

2009-05-01T23:59:59.000Z

56

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

h. Pacific i. MidAtlantic 4. Climate Zone shapefile a.must have a field with climate zone ID’s as an integer in apopulation forecasts and climate zone data. The model’s

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

2005-01-01T23:59:59.000Z

57

Directory of Energy Information Administration Models 1993  

SciTech Connect

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

Not Available

1993-07-06T23:59:59.000Z

58

2002 EIA Models Directory - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The NEMS Residential Sector Demand Module is an integrated dynamic modeling system that projects residential energy demand by ... Energy Demand and Integration ...

59

Modeling of battery energy storage in the National Energy Modeling System  

DOE Green Energy (OSTI)

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

Swaminathan, S.; Flynn, W.T.; Sen, R.K. [Sentech, Inc., Bethesda, MD (United States)

1997-12-01T23:59:59.000Z

60

The National Energy Modeling System: An Overview 2000 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where energy prices change, uses kernel regression and response surface techniques to mimic the response of larger macroeconomic and industrial models. This mode of analysis requires a given economic baseline and then calculates the economic impacts of changing energy prices, calculated from the chosen growth path. The economic growth cases are derived from the larger core models and can reflect either high, low, or reference case growth assumptions. Analyzing economic impacts from energy price changes uses the macroeconomic activity module (MAM) within NEMS and provides a subset of the macroeconomic variables available in the larger core models. The composition of the subset is determined by the other energy modules in NEMS, as they use various macroeconomic concepts as assumptions to their particular energy model.

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


61

Science and technology of piezoelectric/diamond heterostructures for monolithically integrated high performance MEMS/NEMS/CMOS devices.  

SciTech Connect

This paper describes the fundamental and applied science performed to integrate piezoelectric PbZr{sub x}Ti{sub 1-x}O{sub 3} and AlN films with a novel mechanically robust ultrananocrystalline diamond layer to enable a new generation of low voltage/high-performance piezoactuated hybrid piezoelectric/diamond MEMS/NEMS devices.

Auciello, O.; Sumant, A. V.; Hiller, J.; Kabius, B.; Ma, Z.; Srinivasan, S. (Center for Nanoscale Materials); ( MSD); (Univ. of Wisconsin at Madison); (INTEL)

2008-12-01T23:59:59.000Z

62

Integrating Module of the National Energy Modeling System (INT)  

U.S. Energy Information Administration (EIA)

The National Energy Modeling System (NEMS) represents a general equilibrium solution of the interactions between the U.S. energy markets and the economy.

63

EIA - The National Energy Modeling System: An Overview 2003-Report...  

Annual Energy Outlook 2012 (EIA)

Report Chapters The National Energy Modeling System: An Overview 2003 Report Chapters pdf image Preface pdf image Introduction pdf image Overview of NEMS pdf image Carbon Dioxide...

64

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

E-Print Network (OSTI)

of the combined cycle gas turbine - an experience curveTechnologies Combustion gas turbine, gas combined- cycle,Integrated Gas CC Gas/Oil Steam Turbine Existing CT Conv CT

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

65

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

E-Print Network (OSTI)

other than distributed generation. The cost reductionsWind Solar Thermal Photovoltaic Distributed Generation-Base Distributed Generation-Peak D Vintage PLANT TYPE C

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

66

U.S. Energy Information Administration NEMS Petroleum Market Model Documentation  

E-Print Network (OSTI)

This report was prepared by the U.S. Energy Information Administration, the independent statistical and analytical agency within

unknown authors

2012-01-01T23:59:59.000Z

67

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

E-Print Network (OSTI)

generation-peak, biomass, and advanced combustion turbineCombustion gas turbine, gas combined- cycle, conventional coal Biomass,Biomass plants change from Revolutionary to Evolutionary vintage, while the Advanced Combustion

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

68

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

E-Print Network (OSTI)

Integrated Gas CC Gas/Oil Steam Turbine Existing CT Conv CTGas Comb Cycle Gas/Oil Steam Turbine Existing CombustionGas Comb Cycle Gas/Oil Steam Turbine Existing Combustion

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

69

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

E-Print Network (OSTI)

a Mun Solid Waste Hydroelectric Pumped Storage Wind Dist.Geothermal Mun Solid Waste Hydroelectric Pumped Storage WindGeothermal Mun Solid Waste Hydroelectric Pumped Storage Wind

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

70

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

E-Print Network (OSTI)

steps for an example Combined Cycle plant. 1. Identify thean advanced natural gas combined cycle plant results in the2002. The economics of the combined cycle gas turbine - an

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

71

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

E-Print Network (OSTI)

Waste Hydroelectric Pumped Storage Wind Dist. Gen. BaseSolid Waste Hydroelectric Pumped Storage Wind Solar ThermalSolid Waste Hydroelectric Pumped Storage Wind Solar Thermal

Gumerman, Etan; Marnay, Chris

2004-01-01T23:59:59.000Z

72

Transportation Sector Module 2003, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2003-02-01T23:59:59.000Z

73

Transportation Sector Module 2009, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2009-06-02T23:59:59.000Z

74

Transportation Sector Module 2006, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2006-09-01T23:59:59.000Z

75

Transportation Sector Module 2007, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2007-05-09T23:59:59.000Z

76

Transportation Sector Module 2002, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2002-05-01T23:59:59.000Z

77

Transportation Sector Module 2001, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2001-02-01T23:59:59.000Z

78

Transportation Sector Module 2004, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2004-03-01T23:59:59.000Z

79

Transportation Sector Module 2005, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2005-06-01T23:59:59.000Z

80

Transportation Sector Module 2008, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2008-11-04T23:59:59.000Z

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


81

Integrating Module of the National Energy Modeling System 2007, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2007-05-23T23:59:59.000Z

82

Integrating Module of the National Energy Modeling System 1995, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1995-05-01T23:59:59.000Z

83

Integrating Module of the National Energy Modeling System 1997, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1997-05-01T23:59:59.000Z

84

Integrating Module of the National Energy Modeling System 2004, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2004-02-01T23:59:59.000Z

85

Integrating Module of the National Energy Modeling System 2001, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2000-12-01T23:59:59.000Z

86

Integrating Module of the National Energy Modeling System 2009, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2009-05-01T23:59:59.000Z

87

Integrating Module of the National Energy Modeling System 1999, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1998-12-01T23:59:59.000Z

88

Integrating Module of the National Energy Modeling System 2000, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

1999-12-01T23:59:59.000Z

89

Integrating Module of the National Energy Modeling System 2008, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2008-08-29T23:59:59.000Z

90

Integrating Module of the National Energy Modeling System 2002, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2001-12-01T23:59:59.000Z

91

Integrating Module of the National Energy Modeling System 2005, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2005-05-01T23:59:59.000Z

92

Integrating Module of the National Energy Modeling System 1996 Model Documentation - NOT PUBLISHED  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

93

Integrating Module of the National Energy Modeling System 2006, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2006-06-01T23:59:59.000Z

94

Rebuilding the Coal Model in the Energy Information Administration's National Energy Modeling System  

Science Conference Proceedings (OSTI)

The Energy Information Administration uses the National Energy Modeling System (NEMS) to forecast prices and quantities in energy markets. The coal model that the Energy Information Administration first used in NEMS contributed to convergence problems ... Keywords: GOVERNMENT-ENERGY POLICIES, NATURAL RESOURCES-ENERGY, PROGRAMMING--LINEAR

Melinda Hobbs; Michael Mellish; Frederic H. Murphy; Richard Newcombe; Reginald Sanders; Peter Whitman

2001-09-01T23:59:59.000Z

95

Integrating Module of the National Energy Modeling System 1998 Model Documentation - NOT PUBLISHED  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

John Maples

2013-09-05T23:59:59.000Z

96

Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses - Appendix E: Other NEMS-MP Results for the Base Case and Scenarios  

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

Appendix E: Other NEMS-MP Results Appendix E: Other NEMS-MP Results for the Base Case and Scenarios Energy Systems Division Availability of This Report This report is available, at no cost, at http://www.osti.gov/bridge. It is also available on paper to the U.S. Department of Energy and its contractors, for a processing fee, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62

97

Integrating Module of the National Energy Modeling System  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2010-06-01T23:59:59.000Z

98

Model documentation: Electricity Market Module, Electricity Capacity Planning submodule  

SciTech Connect

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

1994-04-07T23:59:59.000Z

99

Transportation Sector Module 2000 Vol 2, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2000-01-01T23:59:59.000Z

100

Transportation Sector Module 2000 Vol 1, Model Documentation  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2000-01-01T23:59:59.000Z

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


101

Residential Sector Demand Module 2009, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2009-05-01T23:59:59.000Z

102

The National Energy Modeling System The  

Gasoline and Diesel Fuel Update (EIA)

2000 2000 (AEO2000) are generated from the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analytical studies for the U.S. Congress and other offices within the Department of Energy. The AEO forecasts are also used by analysts and planners in other govern- ment agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the eco- nomic competition between the various energy fuels and sources. The time horizon of NEMS is the mid- term period, approximately 20 years in the future. In order to represent the regional differences

103

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

SciTech Connect

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

1997-02-01T23:59:59.000Z

104

Residential Sector Demand Module 2000, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

1999-12-01T23:59:59.000Z

105

Residential Sector Demand Module 2004, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2004-02-01T23:59:59.000Z

106

Residential Sector Demand Module 2001, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2000-12-01T23:59:59.000Z

107

Residential Sector Demand Module 2002, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2001-12-01T23:59:59.000Z

108

Residential Sector Demand Module 2005, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2005-04-01T23:59:59.000Z

109

Residential Sector Demand Module 2003, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2003-01-01T23:59:59.000Z

110

Residential Sector Demand Module 2008, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2008-10-10T23:59:59.000Z

111

Residential Sector Demand Module 2006, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2006-03-01T23:59:59.000Z

112

Residential Sector Demand Module 1999, Model Documentation  

Reports and Publications (EIA)

This is the fifth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1999.

John H. Cymbalsky

1998-12-01T23:59:59.000Z

113

Residential Sector Demand Module 2007, Model Documentation  

Reports and Publications (EIA)

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

John H. Cymbalsky

2007-04-26T23:59:59.000Z

114

A Model of the Internal Feedback System Involved in Late Quaternary Climatic Variations  

Science Conference Proceedings (OSTI)

Because of the small net rates of energy flow involved in very long-term changes in ice mass (10?1 W m?2) it will be impossible to proceed in a purely deductive manner to develop a theory for these changes. An inductive approach will be necessary-...

Barry Saltzman; Alfonso Sutera

1984-03-01T23:59:59.000Z

115

Modeling of Battery Energy Storage in the National Energy Modeling System  

E-Print Network (OSTI)

The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy's Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market Module of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated. MODELING OF BATTERY ENERGY STORAGE IN THE CONTENTS NATIONAL ENERGY MODELING SYSTEM iv CONTENTS Acknowledgments Sandia National Laboratories (SNL) would like to acknowledge and thank Dr. Christine E. Platt of the U.S. Department of Energy's Office of Utility Technologies for the support and funding of this work. Thanks are also due to Paul C. Butler and Abbas A. Akhil...

Shiva Swaminathan; William T. Flynn; Rajat K. Sen

1997-01-01T23:59:59.000Z

116

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

117

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

Reports and Publications (EIA)

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

Andy S. Kydes

1999-09-01T23:59:59.000Z

118

The community environmental monitoring program: a model for stakeholder involvement in environmental monitoring  

Science Conference Proceedings (OSTI)

Since 1981, the Community Environmental Monitoring Program (CEMP) has involved stakeholders directly in its daily operation and data collection, as well as in dissemination of information on radiological surveillance in communities surrounding the Nevada Test Site (NTS), the primary location where the United States (US) conducted nuclear testing until 1992. The CEMP is funded by the US Department of Energy's National Nuclear Security Administration, and is administered by the Desert Research Institute (DRI) of the Nevada System of Higher Education. The CEMP provides training workshops for stakeholders involved in the program, and educational outreach to address public concerns about health risk and environmental impacts from past and ongoing NTS activities. The network includes 29 monitoring stations located across an approximately 160,000 km{sup 2} area of Nevada, Utah and California in the southwestern US. The principal radiological instruments are pressurized ion chambers for measuring gamma radiation, and particulate air samplers, primarily for alpha/beta detection. Stations also employ a full suite of meteorological instruments, allowing for improved interpretation of the effects of meteorological events on background radiation levels. Station sensors are wired to state-of-the-art data-loggers that are capable of several weeks of on-site data storage, and that work in tandem with a communications system that integrates DSL and wireless internet, land line and cellular phone, and satellite technologies for data transfer. Data are managed through a platform maintained by the Western Regional Climate Center (WRCC) that DRI operates for the U.S. National Oceanic and Atmospheric Administration. The WRCC platform allows for near real-time upload and display of current monitoring information in tabular and graphical formats on a public web site. Archival data for each station are also available on-line, providing the ability to perform trending analyses or calculate site-specific exposure rates. This configuration also allows for remote programming and troubleshooting of sensors. Involvement of stakeholders in the monitoring process provides a number of benefits, including increased public confidence in monitoring results, as well as decreasing costs by more than 50 percent from when the program was managed entirely by U.S. federal employees. Additionally, the CEMP provides an ideal platform for testing new environmental sensors. (authors)

Hartwell, William T. [Division of Earth and Ecosystem Sciences, Desert Research Institute, Las Vegas, Nevada (United States); Shafer, David S. [Division of Hydrological Sciences, Desert Research Institute, Las Vegas, Nevada (United States)

2007-07-01T23:59:59.000Z

119

A model of hyphal tip growth involving microtubule-based transport  

E-Print Network (OSTI)

We propose a simple model for mass transport within a fungal hypha and its subsequent growth. Inspired by the role of microtubule-transported vesicles, we embody the internal dynamics of mass inside a hypha with mutually excluding particles progressing stochastically along a growing one-dimensional lattice. The connection between long range transport of materials for growth, and the resulting extension of the hyphal tip has not previously been addressed in the modelling literature. We derive and analyse mean-field equations for the model and present a phase diagram of its steady state behaviour, which we compare to simulations. We discuss our results in the context of the filamentous fungus, Neurospora crassa.

K. E. P. Sugden; M. R. Evans; W. C. K. Poon; N. D. Read

2006-05-09T23:59:59.000Z

120

Residential Sector Demand Module 1998, Model Documentation  

Reports and Publications (EIA)

This is the fourth edition of the Model Documentation Report: Residential Sector DemandModule of the National Energy Modeling System (NEMS). It reflects changes made to themodule over the past year for the Annual Energy Outlook 1998. Since last year, severalnew end-use services were added to the module, including: Clothes washers,dishwashers, furnace fans, color televisions, and personal computers. Also, as with allNEMS modules, the forecast horizon has been extended to the year 2020.

John H. Cymbalsky

1998-01-01T23:59:59.000Z

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


121

The National Energy Modeling System: An overview  

Science Conference Proceedings (OSTI)

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

Not Available

1994-05-01T23:59:59.000Z

122

NEMS Measurement Science  

Science Conference Proceedings (OSTI)

... approximately one third of all nanotechnology R&D [1] and ... will focus on the measurement science needed for ... this work, all of these results will be ...

2012-12-21T23:59:59.000Z

123

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

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

NONE

1998-02-01T23:59:59.000Z

124

Co-relation of Variables Involved in the Occurrence of Crane Accidents in U.S. through Logit Modeling.  

E-Print Network (OSTI)

One of the primary reasons of the escalating rates of injuries and fatalities in the construction industry is the ever so complex, dynamic and continually changing nature of construction work. Use of cranes has become imperative to overcome technical challenges, which has lead to escalation of danger on a construction site. Data from OSHA show that crane accidents have increased rapidly from 2000 to 2004. By analyzing the characteristics of all the crane accident inspections, we can better understand the significance of the many variables involved in a crane accident. For this research, data were collected from the U.S. Department of Labor website via the OSHA database. The data encompass crane accident inspections for all the states. The data were divided into categories with respect to accident types, construction operations, degree of accident, fault, contributing factors, crane types, victim’s occupation, organs affected and load. Descriptive analysis was performed to compliment the previous studies, the only difference being that both fatal and non-fatal accidents have been considered. Multinomial regression has been applied to derive probability models and correlation between different accident types and the factors involved for each crane accident type. A log likelihood test as well as chi-square test was performed to validate the models. The results show that electrocution, crane tip over and crushed during assembly/disassembly have more probability of occurrence than other accident types. Load is not a significant factor for the crane accidents, and manual fault is more probable a cause for crane accident than is technical fault. Construction operations identified in the research were found to be significant for all the crane accident types. Mobile crawler crane, mobile truck crane and tower crane were found to be more susceptible. These probability models are limited as far as the inculcation of unforeseen variables in construction accidents are concerned. In fact, these models utilize the past to portray the future, and therefore significant change in the variables involved is required to be added to attain correct and expedient results.

Bains, Amrit Anoop Singh

2010-08-01T23:59:59.000Z

125

EIA - The National Energy Modeling System: An Overview 2003-Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

126

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

SciTech Connect

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

NONE

1998-01-01T23:59:59.000Z

127

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

INTRODUCTION INTRODUCTION blueball.gif (205 bytes) Purpose of NEMS blueball.gif (205 bytes) Representations of Energy Market blueball.gif (205 bytes) Technology Representation blueball.gif (205 bytes) External Availability The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S.

128

Macroeconomic Activity Module (Mam) 1998 (Kernel Regression), Model Documentation  

Reports and Publications (EIA)

The Macroeconomic Activity Module (MAM) serves two functions within the National Energy Modeling System (NEMS). First, it provides consistent sets of baselines macroeconomic variables (GDP and components, aggregate prices, interest rates, industrial output, housing starts, commercial floorspace, newcar sales, etc.) which are used by the supply, demand and conversion modules in reaching an energy market equilibrium. Second, it is designed to provide a feedback mechanism that alters the baseline variables during the course of an integrated NEMS run.

Ron Earley

1998-10-01T23:59:59.000Z

129

Multiscale modeling with carbon nanotubes  

Science Conference Proceedings (OSTI)

Technologically important nanomaterials come in all shapes and sizes. They can range from small molecules to complex composites and mixtures. Depending upon the spatial dimensions of the system and properties under investigation computer modeling of ... Keywords: DFT (density functional theory), Mesoscale modeling, Molecular modeling, NEGF (nonequilibrium Green's function), NEMS (nanoelectromechanical sensors), Nanocomposites, Nanotubes, Sensors

Amitesh Maiti

2008-02-01T23:59:59.000Z

130

Transportation Sector Module 1999, Model Documentation  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

1999-01-01T23:59:59.000Z

131

Transportation Sector Module 1994, Model Documentation  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

1994-03-01T23:59:59.000Z

132

Modeling Interregional Transmission Congestion in the NationalEnergy Modeling System  

SciTech Connect

Congestion analysis using National Energy Modeling National Energy Modeling System (NEMS) or NEMS-derivatives, such as LBNL-NEMS, is subject to significant caveats because the generation logic inherent in NEMS limits the extent to which interregional transmission can be utilized and intraregional transmission is not represented at all. The EMM is designed primarily to represent national energy markets therefore regional effects may be simplified in ways that make congestion analysis harder. Two ways in particular come to mind. First, NEMS underutilizes the capability of the traditional electric grid as it builds the dedicated and detached grid. Second, it also undervalues the costs of congestion by allowing more transmission than it should, due to its use of a transportation model rather than a transmission model. In order to evaluate benefits of reduced congestion using LBNL-NEMS, Berkeley Lab identified three possible solutions: (1) implement true simultaneous power flow, (2) always build new plants within EMM regions even to serve remote load, and (3) the dedicated and detached grid should be part of the known grid. Based on these findings, Berkeley Lab recommends the following next steps: (1) Change the build logic that always places new capacity where it is needed and allow the transmission grid to be expanded dynamically. (2) The dedicated and detached grid should be combined with the traditional grid. (3) Remove the bias towards gas fired combine cycle and coal generation, which are the only types of generation currently allowed out of region. (4) A power flow layer should be embedded in LBNL-NEMS to appropriately model and limit transmission.

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

2006-05-25T23:59:59.000Z

133

Appendix model performance - model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This appendix discusses performance aspects of the Renewable Fuels Module (RFM). It is intended to present the pattern of response of the RFM to typical changes in its major inputs from other NEMS modules. The overall approach of this document, with the particular statistics presented, is designed to be comparable with similar analyses conducted for all of the modules of NEMS. While not always applicable, the overall approach has been to produce analyses and statistics that are as comparable as possible with model developer`s reports for other NEMS modules. Those areas where the analysis is somewhat limited or constrained are discussed. Because the RFM consists of independent submodules, this appendix is broken down by submodule.

Not Available

1994-09-01T23:59:59.000Z

134

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

Open Energy Info (EERE)

National Energy Modeling System (United States) National Energy Modeling System (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (United States) Focus Area: Biomass Topics: Policy, Deployment, & Program Impact Website: www.eia.gov/oiaf/aeo/overview/ Equivalent URI: cleanenergysolutions.org/content/national-energy-modeling-system-unite Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Utility/Electricity Service Costs The National Energy Modeling System (NEMS) is a computer-based, energy-economy modelling system of the United States through 2030. NEMS

135

Transportation Sector Module 1998 - Volume I, Model Documentation  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

1998-01-01T23:59:59.000Z

136

Liquid Fuels Market Model (LFMM) Unveiling LFMM  

Gasoline and Diesel Fuel Update (EIA)

Implementation of the Renewable Fuel Implementation of the Renewable Fuel Standard (RFS) in the Liquid Fuels Market Module (LFMM) of NEMS Michael H. Cole, PhD, PE michael.cole@eia.gov August 1, 2012 | Washington, DC LFMM / NEMS overview 2 M. Cole, EIA Advanced Biofuels Workshop August 1, 2012 | Washington, DC * LFMM is a mathematical representation of the U.S. liquid fuels market (motor gasoline, diesel, biofuels, etc.). EIA analysts use LFMM to project motor fuel prices and production approaches through 2040. * LFMM is a cost-minimization linear program (LP). For a given set of fuel demands, LFMM will find the least-cost means of satisfying those demands, subject to various constraints (such as the RFS). * LFMM is part of the National Energy Modeling System (NEMS), which is a computer model of the U.S. energy economy. EIA uses

137

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

138

Model documentation Renewable Fuels Module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.

NONE

1996-01-01T23:59:59.000Z

139

Trust and multi-agent systems: applying the "diffuse, default model" of trust to experiments involving artificial agents  

Science Conference Proceedings (OSTI)

We argue that the notion of trust, as it figures in an ethical context, can be illuminated by examining research in artificial intelligence on multi-agent systems in which commitment and trust are modeled. We begin with an analysis of a philosophical ... Keywords: Artificial agents, Default trust, Diffuse trust, Multi-agent systems, Trust

Jeff Buechner; Herman T. Tavani

2011-03-01T23:59:59.000Z

140

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

SciTech Connect

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

NONE

1995-02-17T23:59:59.000Z

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


141

Transportation Sector Module 1997, Model Documentation  

Reports and Publications (EIA)

Over the past year, several modifications have been made to the NEMS Transportation Model,incorporating greater levels of detail and analysis in modules previously represented in the aggregate or under a profusion of simplifying assumptions. This document is intended to amend those sections of the Model Documentation Report (MDR) which describe these superseded modules.

John Maples

1997-02-01T23:59:59.000Z

142

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

143

Modeling Interregional Transmission Congestion in the National Energy Modeling System  

E-Print Network (OSTI)

Validating LBNL-NEMS Electricity Prices and Loads A directB. Appendix C. Validating NEMS Electricity Prices andcan lead to lower electricity prices and less frequent power

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

2006-01-01T23:59:59.000Z

144

Distributed generation capabilities of the national energy modeling system  

SciTech Connect

This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

145

Directory of energy information administration models 1995  

Science Conference Proceedings (OSTI)

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

NONE

1995-07-13T23:59:59.000Z

146

EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System: An Overview 2003 This report provides a summary description of the NEMS which was used to generate the projections of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003. Preface Introduction Overview of NEMS Carbon Dioxide and Methane Emissions Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Renewable Fuels Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Bibliography Download the Report NEMS: An Overview 2003 Cover. Need help, contact the National Energy Information Center at 202-586-8800.

147

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect

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

1996-04-30T23:59:59.000Z

148

A Model of U.S. Commercial Distributed Generation Adoption  

Science Conference Proceedings (OSTI)

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

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

2006-01-10T23:59:59.000Z

149

Transportation Sector Module 1995 - Model Developer's Report, Model Documentation  

Reports and Publications (EIA)

As the description in Section 4 and Appendix B shows, the NEMS Transportation Model is made up of seven semi-independent submodules which address different vehicular modes of the transportation sector. Each submodule also contains methods to deal with the impacts of policyinitiatives and legislative mandates which affect individual modes of travel. The transportation sector energy consumption is the sum of the energy consumption forecasts generated through the separate submodules.

John Maples

1995-03-01T23:59:59.000Z

150

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

151

Directory of Energy Information Administration Models 1994  

SciTech Connect

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

Not Available

1994-07-01T23:59:59.000Z

152

Model documentation report: Residential sector demand module of the national energy modeling system  

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.

NONE

1998-01-01T23:59:59.000Z

153

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

SciTech Connect

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

NONE

1994-02-24T23:59:59.000Z

154

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

SciTech Connect

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

Not Available

1994-04-01T23:59:59.000Z

155

MODELING THE DEMAND FOR E85 IN THE UNITED STATES  

SciTech Connect

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

Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL

2013-10-01T23:59:59.000Z

156

A Slowly Varying Model of the Quasi-biennial Oscillation Involving Effects of Transcience, Self-acceleration and Saturation of Equatorial Waves  

Science Conference Proceedings (OSTI)

A numerical simulation of the quasi-biennial oscillations (QBO) is presented using a sophisticated one-dimensional model operating under a slowly varying WKB assumption. The roles of wave transience, wave self-acceleration and wave saturation are ...

Hiroshi Tanaka; Nobuyuki Yoshizawa

1987-05-01T23:59:59.000Z

157

EIA - The National Energy Modeling System: An Overview 2003 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview 2003 Preface The National Energy Modeling System: An Overview 2003 provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003 (AEO2003), (DOE/EIA-0383(2003)), released in January 2003. AEO2003 presents national forecasts of energy markets for five primary cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

158

The National Energy Modeling System: An Ocerview 2000 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

159

A new approach for modeling the peak utility impacts from a proposed CUAC standard  

SciTech Connect

This report describes a new Berkeley Lab approach for modeling the likely peak electricity load reductions from proposed energy efficiency programs in the National Energy Modeling System (NEMS). This method is presented in the context of the commercial unitary air conditioning (CUAC) energy efficiency standards. A previous report investigating the residential central air conditioning (RCAC) load shapes in NEMS revealed that the peak reduction results were lower than expected. This effect was believed to be due in part to the presence of the squelch, a program algorithm designed to ensure changes in the system load over time are consistent with the input historic trend. The squelch applies a system load-scaling factor that scales any differences between the end-use bottom-up and system loads to maintain consistency with historic trends. To obtain more accurate peak reduction estimates, a new approach for modeling the impact of peaky end uses in NEMS-BT has been developed. The new approach decrements the system load directly, reducing the impact of the squelch on the final results. This report also discusses a number of additional factors, in particular non-coincidence between end-use loads and system loads as represented within NEMS, and their impacts on the peak reductions calculated by NEMS. Using Berkeley Lab's new double-decrement approach reduces the conservation load factor (CLF) on an input load decrement from 25% down to 19% for a SEER 13 CUAC trial standard level, as seen in NEMS-BT output. About 4 GW more in peak capacity reduction results from this new approach as compared to Berkeley Lab's traditional end-use decrement approach, which relied solely on lowering end use energy consumption. The new method has been fully implemented and tested in the Annual Energy Outlook 2003 (AEO2003) version of NEMS and will routinely be applied to future versions. This capability is now available for use in future end-use efficiency or other policy analysis that requires accurate representation of time varying load reductions.

LaCommare, Kristina Hamachi; Gumerman, Etan; Marnay, Chris; Chan, Peter; Coughlin, Katie

2004-08-01T23:59:59.000Z

160

Research Article Short Communication: Is Ethanol-Based Hand Sanitizer Involved in Acute Pancreatitis after Excessive Disinfection?—An Evaluation with the Use of PBPK Model  

E-Print Network (OSTI)

Copyright © 2012 Céline Huynh-Delerme et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. An occupational physician reported to the French Health Products Safety Agency (Afssaps) a case of adverse effect of acute pancreatitis (AP) in a teaching nurse, after multiple demonstrations with ethanol-based hand sanitizers (EBHSs) used in a classroom with defective mechanical ventilation. It was suggested by the occupational physician that the exposure to ethanol may have produced a significant blood ethanol concentration and subsequently the AP. In order to verify if the confinement situation due to defective mechanical ventilation could increase the systemic exposure to ethanol via inhalation route, a physiologically based pharmacokinetic (PBPK) modeling was used to predict ethanol blood levels. Under the worst case scenario, the simulation by PBPK modeling showed that the maximum blood ethanol concentration which can be predicted of 5.9 mg/l is of the same order of magnitude to endogenous ethanol concentration (mean = 1.1 mg/L; median = 0.4 mg/L; range = 0–35 mg/L) in nondrinker

Céline Huynh-delerme; Catherine Artigou; Laurent Bodin; Robert Tardif; Ginette Charest-tardif; Cécile Verdier; Nessryne Sater; Mostafa Ould-elhkim; Catherine Desmares

2012-01-01T23:59:59.000Z

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


161

Model documentation renewable fuels module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1995 Annual Energy Outlook (AEO95) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. The RFM consists of six analytical submodules that represent each of the major renewable energy resources--wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. The RFM also reads in hydroelectric facility capacities and capacity factors from a data file for use by the NEMS Electricity Market Module (EMM). The purpose of the RFM is to define the technological, cost and resource size characteristics of renewable energy technologies. These characteristics are used to compute a levelized cost to be competed against other similarly derived costs from other energy sources and technologies. The competition of these energy sources over the NEMS time horizon determines the market penetration of these renewable energy technologies. The characteristics include available energy capacity, capital costs, fixed operating costs, variable operating costs, capacity factor, heat rate, construction lead time, and fuel product price.

NONE

1995-06-01T23:59:59.000Z

162

The National Energy Modeling System: An Overview 1998 - Appendix:  

Gasoline and Diesel Fuel Update (EIA)

APPENDIX: APPENDIX: BIBLIOGRAPHY The National Energy Modeling System is documented in a series of model documentation reports, available by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, National Energy Modeling System Integrating Module Documentation Report, DOE/EIA-M057(97) (Washington, DC, May 1997). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(97) (Washington, DC, December 1996). Energy Information Administration, Model Developer's Appendix to the Model Documentation Report: NEMS Macroeconomic Activity Module, DOE/EIA-M065A (Washington, DC, July 1994). Energy Information Administration, Documentation of the DRI Model of the

163

Extrapolating Environmental Benefits from IGCC in NEMS  

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

August 2008 (April August 2008 (April 2009 Revision) DOE/NETL-402/080108 Water Requirements for Existing and Emerging Thermoelectric Plant Technologies Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or

164

LLNL's NeMS: Network Mapping System  

High Performance Computing Innovation Center (Building 6475)located in LLNL's Livermore Valley Open Campus (LVOC) Seating is limited, Pre-registration ...

165

Documentation of the petroleum market model (PMM). Appendix: Model developer`s report  

SciTech Connect

The Office of Integrated Analysis and Forecasting (OIAF) is required to provide complete model documentation to meet the EIA Model Acceptance Standards. The EIA Model Documentation: Petroleum Market Model of the National Energy Modeling System provides a complete description of the Petroleum Market Model`s (PMM) methodology, and relation to other modules in the National Energy Modeling System (NEMS). This Model Developer`s Report (MDR) serves as an appendix to the methodology documentation and provides an assessment of the sensitivity of PMM results to changes in input data. The MDR analysis for PMM is performed by varying several sets of input variables one-at-a-time and examining the effect on a set of selected output variables. The analysis is based on stand-alone, rather than integrated, National Energy Modeling System (NEMS) runs. This means that other NEMS modules are not responding to PMM outputs. The PMM models petroleum refining and marketing. The purpose of the PMM is to project petroleum product prices, refining activities, and movements of petroleum into the United States and among domestic regions. In addition, the PMM estimates capacity expansion and fuel consumption in, the refining industry. The PMM is also used to analyze a wide variety of petroleum-related issues and policies, in order to foster better understanding of the petroleum refining and marketing industry and the effects of certain policies and regulations. The PMM simulates the operation of petroleum refineries in the United States, including the supply and transportation of crude oil to refineries, the regional processing of these raw materials into petroleum products, and the distribution of petroleum products to meet regional demands. The essential outputs of this model are product prices, a petroleum supply/demand balance, demands for refinery fuel use, and capacity expansion.

Not Available

1994-12-28T23:59:59.000Z

166

Tobacco Industry Involvement in Colorado  

E-Print Network (OSTI)

Accessed May 25, 2004) Industry Summary. 1992 (est. ).11 May 2004) Tobacco Industry Involvement in Colorado Pageor (800) LUNG-USA. Tobacco Industry Involvement in Colorado

Landman, BA, Anne; Bialick, Peter

2004-01-01T23:59:59.000Z

167

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

168

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

SciTech Connect

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

NONE

1998-01-01T23:59:59.000Z

169

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

SciTech Connect

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

Not Available

1994-03-01T23:59:59.000Z

170

Modeling renewable portfolio standards for the annual energy outlook 1998 - electricity market module  

SciTech Connect

The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Load and Demand-Side Management (LDSM) Submodule. For the Annual Energy Outlook 1998 (AEO98), the EMM has been modified to represent Renewable Portfolio Standards (RPS), which are included in many of the Federal and state proposals for deregulating the electric power industry. A RPS specifies that electricity suppliers must produce a minimum level of generation using renewable technologies. Producers with insufficient renewable generating capacity can either build new plants or purchase {open_quotes}credits{close_quotes} from other suppliers with excess renewable generation. The representation of a RPS involves revisions to the ECP, EFD, and the EFP. The ECP projects capacity additions required to meet the minimum renewable generation levels in future years. The EFD determines the sales and purchases of renewable credits for the current year. The EFP incorporates the cost of building capacity and trading credits into the price of electricity.

1998-02-01T23:59:59.000Z

171

EIA - The National Energy Modeling System: An Overview 2003-Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The National Energy Modeling System: An Overview 2003 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) links NEMS to the rest of the economy by providing projections of economic driver variables for use by the supply, demand, and conversion modules of NEMS. The derivation of the baseline macroeconomic forecast lays a foundation for the determination of the energy demand and supply forecast. MAM is used to present alternative macroeconomic growth cases to provide a range of uncertainty about the growth potential for the economy and its likely consequences for the energy system. MAM is also able to address the macroeconomic impacts associated with changing energy market conditions, such as alternative world oil price assumptions. Outside of the Annual Energy Outlook setting, MAM represents a system of linked modules which can assess the potential impacts on the economy of changes in energy events or policy proposals. These economic impacts then feed back into NEMS for an integrated solution. MAM consists of five modules:

172

Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill  

Reports and Publications (EIA)

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

Andy Kydes

2004-02-01T23:59:59.000Z

173

Appendix V Public Involvement Plan  

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

V V Public Involvement Plan Revision No.: 6 February 2008 Federal Facility Agreement and Consent Order (FFACO) FFACO, Appendix V February 2008 i FFACO Public Involvement Plan U.S. Department of Energy National Nuclear Security Administration Nevada Site Office Las Vegas, Nevada U.S. Department of Defense Defense Threat Reduction Agency Detachment 1, Nevada Operations Mercury, Nevada U.S. Department of Energy Office of Legacy Management Grand Junction, Colorado FFACO, Appendix V February 2008 ii Preface The Public Involvement Plan serves two purposes: it provides a broad public involvement strategy, and fulfills requirements contained in the Federal Facility Agreement and Consent Order (FFACO) relating to public awareness and participation. Under the FFACO, agreed to by

174

Public Involvment Plan - Rifle, Colorado  

Office of Legacy Management (LM)

4-TAR 4-TAR MAC-GWRIF 7.1 UMTRA Ground Water Project Public Involvement Plan for the Environmental Assessment of Ground Water Compliance at the New and Old Rifle, Colorado, Uranium Mill Tailings Sites May 1999 Prepared by U.S. Department of Energy Grand Junction Office Grand Junction, Colorado Work performed under DOE Contract No. DE-AC13-96GJ87335 Public Involvement Plan for the Rifle UMTRA Sites Page 2 Introduction This Public Involvement Plan is tiered to the Uranium Mill Tailings Remedial Action (UMTRA) Ground Water Project Public Participation Plan dated October 1997. This Public Involvement Plan applies to both the Old and New Rifle, Colorado, UMTRA Project sites and details the activities that have been or will be carried out to meet the public participation requirements of the

175

Integrating Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Chapter 3 describes the NEMS global data structure, used for inter-module communication, ... technologies, representations of renewable energy technologies, ...

176

Model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1997 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs. and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves three purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Finally, such documentation facilitates continuity in EIA model development by providing information sufficient to perform model enhancements and data updates as part of EIA`s ongoing mission to provide analytical and forecasting information systems.

NONE

1997-04-01T23:59:59.000Z

177

Community Involvement Fund | Department of Energy  

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

Community Involvement Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Community Involvement Fund Overview The success of EM's legacy waste cleanup mission depends largely on the support of informed and engaged stakeholders. Cleanup activities have the potential to affect the health of the public, the environment, and the future of the communities that either host or are located near EM sites. Therefore, it is critical that EM receive public input from local citizens and community organizations prior to making cleanup decisions. In December 2010, EM partnered with the New Mexico Community Foundation

178

Figure 6. Electricity Market Model Supply Regions  

E-Print Network (OSTI)

The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2010, DOE/EIA-M068(2010). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

unknown authors

2010-01-01T23:59:59.000Z

179

VISION Model : description of model used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.  

DOE Green Energy (OSTI)

The VISION model has been developed by the U.S. Department of Energy (DOE) to provide estimates of the potential energy use, oil use, and carbon emission impacts to 2050 of advanced light- and heavy-duty highway vehicle technologies and alternative fuels. DOE supports research of advanced transportation technologies (including fuels) and is frequently asked to provide estimates of the potential impacts of successful market penetration of these technologies, sometimes on a relatively quick-turnaround basis. VISION is a spreadsheet model in Microsoft Excel that can be used to respond rapidly to quick-turnaround requests, as well as for longer-term analyses. It uses vehicle survival and age-dependent usage characteristics to project total light and heavy vehicle stock, total vehicle miles of travel (VMT), and total energy use by technology and fuel type by year, given market penetration and vehicle energy efficiency assumptions developed exogenously. Total carbon emissions for on-highway vehicles by year are also estimated because life-cycle carbon coefficients for various fuels are included in VISION. VISION is not a substitute for the transportation component of the Energy Information Administration's (EIA's) National Energy Modeling System (NEMS). NEMS incorporates a consumer choice model to project market penetration of advanced vehicles and alternative fuels. The projections are made within the context of the entire U.S. economy. However, the NEMS model is difficult to use on a quick-turnaround basis and only makes projections to 2025. VISION complements NEMS with its relative ''user-friendliness'' and by extending the time frame of potential analysis. VISION has been used for a wide variety of purposes. For illustration, we have listed some of its most recent and current uses in Table 1.1. Figures 1.1-1.3 illustrate the results of some of those runs. These graphs are not actual model output, but they are based on model results. The main body of this report describes VISION's methodology and data sources. The methodology and data sources used in the light- and heavy-vehicle portions of the model are discussed separately. Some suggestions for future improvements to the model are made. Appendix A provides instructions on how to run the VISION model. Appendix B describes the procedure for updating the model with the latest EIA Annual Energy Outlook (AEO).

Singh, M.; Vyas, A.; Steiner, E.

2004-02-19T23:59:59.000Z

180

Rate Adjustments and Public Involvement  

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

Rate Adjustments and Public Involvement Documents Rate Adjustments and Public Involvement Documents CRSP Transmission 9/16/2013 WAPA-161 FRN, CRSP transmission and ancillary services rates extension Letter announcing two-year extension to CRSP transmission and ancillary services rates Letter announcing revised CRSP transmission rates for FY 2014 Accompanying calculation table for FY 2014 CRSP transmission rate letter Letter announcing revised CRSP transmission rates for FY 2013 Letter announcing revised CRSP transmission rates for FY 2012 Letter announcing revised CRSP transmission rates for FY 2011 Letter announcing revised CRSP transmission rates for FY 2010 SLCA/IP 9/16/2013 WAPA-161 FRN, SLCA/IP firm power rate extension Letter announcing two-year extension to SLCA/IP firm power rate SLCA/IP Tentative Rate Adjustment Schedule

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


181

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

SciTech Connect

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

NONE

1995-02-01T23:59:59.000Z

182

Abrupt structural transitions involving functionally optimal networks  

E-Print Network (OSTI)

We show analytically that abrupt structural transitions can arise in functionally optimal networks, driven by small changes in the level of transport congestion. Our findings are based on an exactly solvable model system which mimics a variety of biological and social networks. Our results offer an explanation as to why such diverse sets of network structures arise in Nature (e.g. fungi) under essentially the same environmental conditions. As a by-product of this work, we introduce a novel renormalization scheme involving `cost motifs' which describes analytically the average shortest path across multiple-ring-and-hub networks.

Jarrett, T C; Fricker, M; Johnson, N F; Jarrett, Timothy C.; Ashton, Douglas J.; Fricker, Mark; Johnson, Neil F.

2005-01-01T23:59:59.000Z

183

Abrupt structural transitions involving functionally optimal networks  

E-Print Network (OSTI)

We show analytically that abrupt structural transitions can arise in functionally optimal networks, driven by small changes in the level of transport congestion. Our findings are based on an exactly solvable model system which mimics a variety of biological and social networks. Our results offer an explanation as to why such diverse sets of network structures arise in Nature (e.g. fungi) under essentially the same environmental conditions. As a by-product of this work, we introduce a novel renormalization scheme involving `cost motifs' which describes analytically the average shortest path across multiple-ring-and-hub networks.

Timothy C. Jarrett; Douglas J. Ashton; Mark Fricker; Neil F. Johnson

2005-08-31T23:59:59.000Z

184

Greenhouse Gas Initiatives - Analysis of McCain-Lieberman Bill S.280 ‘The ClimateStewardship and Innovation Act of 2007’ Using the National Energy Modeling System  

E-Print Network (OSTI)

Members of Congress have proposed a number of new aggressive plans for the reduction of greenhouse gases in the United States. Many of these proposals require reductions of 30% below current levels by 2020 and 60-80% reductions from current levels by 2050. While it is clear that achieving these proposed reductions will require major changes in U.S. energy infrastructure and technology implementation; it is only recently that quantitative analyses of the potential implications have become available. One of the critical questions to be addressed is the implications for various energy sources and technologies and the impact on energy prices to end users. This paper reports on the impacts of pending GHG legislation on energy supply, demand, and prices, and the technologies and market mechanisms that are likely to be employed to reduce CO2 emissions. The paper also reports on the results of analysis of GHG bills performed by SAIC using the National Energy Modeling System (NEMS). NEMS is an economy-wide, integrated energy model that analyzes energy supply, conversion, and demand. NEMS is used by the U.S. Energy Information Administration (EIA) to provide US energy market forecasts through 2030, and is the principal tool for the analysis of energy and greenhouse gas policies used by the U.S. government.

Ellsworth, C.

2008-01-01T23:59:59.000Z

185

Energy-Efficiency Labels and Standards: A Guidebook for Appliances, Equipment, and Lighting - 2nd Edition  

E-Print Network (OSTI)

Electrical Manufacturers’ Association (NEMA), 74t National Energy Modeling System (NEMS), 163 National impact analysis,

Wiel, Stephen; McMahon, James E.

2005-01-01T23:59:59.000Z

186

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Uranium fuel, nuclear reactors, ... About the National Energy Modeling System (NEMS)

187

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

188

Residential Sector Demand Module 1995, Model Documentation  

Reports and Publications (EIA)

This updated version of the NEMS Residential Module Documentation includes changesmade to the residential module for the production of the Annual Energy Outlook 1995.

John H. Cymbalsky

1995-03-01T23:59:59.000Z

189

National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 The National Energy Modeling System: An Overview March 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. PREFACE The National Energy Modeling System: An Overview (Overview) provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2015 for the Annual Energy Outlook 1996 (AEO96), (DOE/EIA- 0383(96)), released in January

190

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

SciTech Connect

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

NONE

1995-03-01T23:59:59.000Z

191

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

Science Conference Proceedings (OSTI)

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

NONE

1997-01-01T23:59:59.000Z

192

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

SciTech Connect

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

1994-04-07T23:59:59.000Z

193

Cyber Incidents Involving Control Systems  

Science Conference Proceedings (OSTI)

The Analysis Function of the US-CERT Control Systems Security Center (CSSC) at the Idaho National Laboratory (INL) has prepared this report to document cyber security incidents for use by the CSSC. The description and analysis of incidents reported herein support three CSSC tasks: establishing a business case; increasing security awareness and private and corporate participation related to enhanced cyber security of control systems; and providing informational material to support model development and prioritize activities for CSSC. The stated mission of CSSC is to reduce vulnerability of critical infrastructure to cyber attack on control systems. As stated in the Incident Management Tool Requirements (August 2005) ''Vulnerability reduction is promoted by risk analysis that tracks actual risk, emphasizes high risk, determines risk reduction as a function of countermeasures, tracks increase of risk due to external influence, and measures success of the vulnerability reduction program''. Process control and Supervisory Control and Data Acquisition (SCADA) systems, with their reliance on proprietary networks and hardware, have long been considered immune to the network attacks that have wreaked so much havoc on corporate information systems. New research indicates this confidence is misplaced--the move to open standards such as Ethernet, Transmission Control Protocol/Internet Protocol, and Web technologies is allowing hackers to take advantage of the control industry's unawareness. Much of the available information about cyber incidents represents a characterization as opposed to an analysis of events. The lack of good analyses reflects an overall weakness in reporting requirements as well as the fact that to date there have been very few serious cyber attacks on control systems. Most companies prefer not to share cyber attack incident data because of potential financial repercussions. Uniform reporting requirements will do much to make this information available to Department of Homeland Security (DHS) and others who require it. This report summarizes the rise in frequency of cyber attacks, describes the perpetrators, and identifies the means of attack. This type of analysis, when used in conjunction with vulnerability analyses, can be used to support a proactive approach to prevent cyber attacks. CSSC will use this document to evolve a standardized approach to incident reporting and analysis. This document will be updated as needed to record additional event analyses and insights regarding incident reporting. This report represents 120 cyber security incidents documented in a number of sources, including: the British Columbia Institute of Technology (BCIT) Industrial Security Incident Database, the 2003 CSI/FBI Computer Crime and Security Survey, the KEMA, Inc., Database, Lawrence Livermore National Laboratory, the Energy Incident Database, the INL Cyber Incident Database, and other open-source data. The National Memorial Institute for the Prevention of Terrorism (MIPT) database was also interrogated but, interestingly, failed to yield any cyber attack incidents. The results of this evaluation indicate that historical evidence provides insight into control system related incidents or failures; however, that the limited available information provides little support to future risk estimates. The documented case history shows that activity has increased significantly since 1988. The majority of incidents come from the Internet by way of opportunistic viruses, Trojans, and worms, but a surprisingly large number are directed acts of sabotage. A substantial number of confirmed, unconfirmed, and potential events that directly or potentially impact control systems worldwide are also identified. Twelve selected cyber incidents are presented at the end of this report as examples of the documented case studies (see Appendix B).

Robert J. Turk

2005-10-01T23:59:59.000Z

194

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Administration. 2004c. "Energy Glossary Website."http://www.eia.doe.gov/glossary/. Energy InformationGIS Appendix G. Glossary AEO : The Annual Energy Outlook,

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

2005-01-01T23:59:59.000Z

195

Self-biased 215MHz Magnetoelectric NEMS Resonator for Ultra ...  

Science Conference Proceedings (OSTI)

Lighting Enhancement of GaN LEDs by Applying p-Type Ni(P):SnO2 TCO on p- GaN Epitaxial Layer · Localized Temperature Stability in Multilayer LTCC.

196

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Figure 29: Residential electricity growth rate (percentage)Over Time The residential electricity growth rate indicatesFigure 29: Residential electricity growth rate (percentage)

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

2005-01-01T23:59:59.000Z

197

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Efficiency and Renewable Energy U.S. Department of Energyor consumption of energy in the U.S. Figure 2: The 13California Energy Commission 2002) U.S. Regional Energy

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

2005-01-01T23:59:59.000Z

198

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

residential and commercial electricity demand forecasts. The23 Electricity Demandand commercial electricity demand per census division from

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

2005-01-01T23:59:59.000Z

199

Investigation of residential central air conditioning load shapes in NEMS  

E-Print Network (OSTI)

like refrigerators, whose baseload shape is flat, a higherload, yielding a flatter (baseload) profile. However, for a

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

2002-01-01T23:59:59.000Z

200

Available Technologies: Ultra High Performance MEMS/NEMS ...  

These new inventions offer opportunites for quantum advancements in wireless communication, MEMS capabilities, and mass sensing.

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


201

Engineering Color using Nanostructures Yanhui Zhao@BioNEMS  

E-Print Network (OSTI)

, such as projects using satellite technology for healthcare delivery in West Africa and solar dish Stirling engines guidance and direction for the project. Washington State University College of Engineering and Architecture Junior Ballroom (CUB 210) Washington State University Pullman campus #12;College of Engineering

Yener, Aylin

202

Modeling complex contacts involving deformable objects for haptic interaction.  

E-Print Network (OSTI)

??Haptic interaction allows a human user to touch and feel objects in virtual or remote environments with the tactile feedback as if he/she is handling… (more)

Luo, Qi

203

FOIASI - Special Inquiry Review of Allegations Involving  

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

FOIASI - Special Inquiry Review of Allegations Involving FOIASI - Special Inquiry Review of Allegations Involving PotentialMisconduct by a Senior Office of Environmental Management Official FOIASI - Special Inquiry Review of Allegations Involving PotentialMisconduct by a Senior Office of Environmental Management Official In September 2009, the Office of Inspector General (OIG) received multiple allegations concerning improprieties by a senior official with the Office of Environmental Management. The allegations involved potential violations of political activity restrictions, lack of impartiality in performing official duties, misuse of position, and other related misconduct. Specific allegations concerned: 1. Orchestrating a $9 million American Recovery and Reinvestment Act of 2009 (Recovery Act) payment to certain Historically

204

Models  

E-Print Network (OSTI)

• A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f (·) is a parametric family known up to parameters ?. • Parameter estimation: maximum likelihood ˆ?n = arg max ? ln f (Yt, Xt, ?) (2) t • What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified

Stas Kolenikov; U Of Missouri; U Of Missouri

2007-01-01T23:59:59.000Z

205

Renewable Fuels Module, Appendix - Model Performance, Model Documentation  

Reports and Publications (EIA)

This appendix discusses performance aspects of the Renewable Fuels Module (RFM). It is intended to present the pattern of response of the RFM to typical changes in its major inputs from other NEMS modules.

Perry M. Lindstrom

1995-06-01T23:59:59.000Z

206

Distributed generation capabilities of the national energy modeling system  

E-Print Network (OSTI)

Energy Information Administration Electricity Market Module of NEMS Geographic Information System(s) 10 9 (giga)watt 10 3 (kilo)watt Market Analysis

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

207

The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

3) 3) The National Energy Modeling System: An Overview 2003 March 2003 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html The National Energy Modeling System: An Overview 2003 provides a summary description of the National En- ergy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, im- ports, and

208

Using dual decomposition for solving problems involving data uncertainty |  

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

dual decomposition for solving problems involving data uncertainty dual decomposition for solving problems involving data uncertainty August 14, 2013 Tweet EmailPrint Many applications mdash; energy, routing, scheduling, and production planning, for example mdash; involve problems in which some or all of the data may not be known when decisions under uncertainty must be made. In such cases, approximations with stochastic mixed-integer programming models are often used. Two approaches have been suggested to address such problems: dual decomposition (DD) and branch-and-price (BP). Both approaches divide the problem into two or more subproblems, together with linear constraints that enforce agreement between solutions to the different problems through a series of iterations. Unfortunately, both approaches also suffer from lack

209

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

DOE Green Energy (OSTI)

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

NONE

1997-02-01T23:59:59.000Z

210

EIA - The National Energy Modeling System: An Overview 2003-Residential  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

211

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

212

COMMUNITY INVOLVEMENT PLAN APRIL 15, 1999.  

Science Conference Proceedings (OSTI)

This Community Involvement Plan has been prepared by the Brookhaven National Laboratory's Community Involvement Office with the input of the community, Laboratory employees and representatives of the U.S. Department of Energy. The process to develop the plan began with the formation of a focus group consisting of representatives from: the community at large; special interest groups within the community; the business community; Laboratory retirees; senior and line management from the Laboratory; and the U.S. Department of Energy. The focus group reviewed an initial outline developed by the Office of Community involvement, held in-depth roundtable discussions of community involvement needs, and created a draft plan based on their discussions. A workshop was held to present the draft Community Involvement Plan to a wider audience for their input and insights on how Brookhaven should involve the community in decision making. This workshop was advertised in local newspapers and within the Laboratory. It was attended by community members, special interest group representatives, Laboratory employees and managers, U.S. Department of Energy-Brookhaven Group management, and members of the Laboratory's Community Advisory Council. The results of the workshop discussions are incorporated in this plan.

GEIGER,K.

1999-04-15T23:59:59.000Z

213

Decontamination Dressdown at a Transportation Accident Involving  

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

Decontamination Dressdown at a Transportation Accident Involving Decontamination Dressdown at a Transportation Accident Involving Radioactive Material Decontamination Dressdown at a Transportation Accident Involving Radioactive Material The purpose of this User's Guide is to provide instructors with an overview of the key points covered in the video. The Student Handout portion of this Guide is designed to assist the instructor in reviewing those points with students. The Student Handout should be distributed to students after the video is shown and the instructor should use the Guide to facilitate a discussion on how the decontamination dressdown process is implemented. During this discussion, the instructor can present various scenarios, each of which would discuss decontamination at the accident scene. The purpose of this discussion would be to cover how responders

214

Policy 1305 Cost Transfers Involving Sponsored Projects  

E-Print Network (OSTI)

Policy 1305 Cost Transfers Involving Sponsored Projects Responsible Office Office of Grant transfer of payroll and other direct costs associated with sponsored projects. Purpose of the Policy are responsible for ensuring that transfers of costs to sponsored projects which represent corrections of errors

215

The National Energy Modeling System: An Overview 1998 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

NATURAL GAS TRANSMISSION AND DISTRIBUTION MODULE NATURAL GAS TRANSMISSION AND DISTRIBUTION MODULE blueball.gif (205 bytes) Annual Flow Submodule blueball.gif (205 bytes) Capacity Expansion Submodule blueball.gif (205 bytes) Pipeline Tariff Submodule blueball.gif (205 bytes) Distributor Tariff Submodule The natural gas transmission and distribution module (NGTDM) is the component of NEMS that represents the natural gas market. The NGTDM models the natural gas transmission and distribution network in the lower 48 States, which links suppliers (including importers) and consumers of natural gas. The module determines regional market-clearing prices for natural gas supplies (including border prices) and end-use consumption. The NGTDM has four primary submodules: the annual flow submodule, the capacity expansion submodule, the pipeline tariff submodule, and the

216

Modelling approaches  

Science Conference Proceedings (OSTI)

Understanding and mitigating risks and threats to critical infrastructures relies heavily on the ability to construct and validate models often involving physical systems or even human intervention. This, together with the wide range of scales from critical ...

Nils Kalstad Svendsen; Stephen D. Wolthusen

2012-01-01T23:59:59.000Z

217

Sandia National Laboratories: About Sandia: Community Involvement:  

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

Community Involvement Community Involvement Contribution Programs Volunteer Programs Education Programs About Contribution Programs Shoes for Kids photo A tradition of employee giving Sandia National Laboratories employees and retirees are generous, contributing over $5.9 million a year through the United Way of Central New Mexico to non-profits in New Mexico, California, and the nation. Giving is a tradition at Sandia. In the 1960s, employees initiated the Shoes for Kids Program. Rather than giving each other gifts during the holidays, employees elected to contribute to a fund to provide new shoes to local elementary school children. The program has provided a new pair of shoes to over 500 Albuquerque-area children for over 50 years. Other annual programs benefiting local students include book and school supply drives.

218

Projecting Fatalities in Crashes involving Older Drivers  

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

Crashes Crashes Projecting Fatalities in Crashes Involving Older Drivers Involving Older Drivers Oak Oak Ridge Ridge National Laboratory National Laboratory, USA USA Presented at Presented at the the 17th 17th World Congress of the International World Congress of the International Association Association for Accident and Traffic Medicine for Accident and Traffic Medicine May May 30, 30, 2000, 2000, Stockholm, Sweden Stockholm, Sweden ORNL ORNL P. P. Hu Hu D. D. Jones Jones T. T. Reuscher Reuscher R. R. Schmoyer Schmoyer T. T. Truett Truett General General Motors Motors Annette Annette Irwin Irwin U.S. U.S. DOTransportation DOTransportation Jesse Jesse Blatt Blatt Acknowledgements Acknowledgements Objective Objective This This research research is is funded funded by by a a Cooperative Cooperative Research

219

The National Energy Modeling System: An Overview 2000 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. petroleum market module (PMM) represents domestic refinery operations and the marketing of petroleum products to consumption regions. PMM solves for petroleum product prices, crude oil and product import activity (in conjunction with the international energy module and the oil and gas supply module), and domestic refinery capacity expansion and fuel consumption. The solution is derived, satisfying the demand for petroleum products and incorporating the prices for raw material inputs and imported petroleum products, the costs of investment, and the domestic production of crude oil and natural gas liquids. The relationship of PMM to other NEMS modules is illustrated in Figure 17. Figure 17. Petroleum Market Module Structure PMM is a regional, linear-programming representation of the U.S. petroleum market. Refining operations are represented by a three-region linear programming formulation of the five Petroleum Administration for Defense Districts (PADDs) (Figure 18). PADDs I and V are each treated as single regions, while PADDs II, III, and IV are aggregated into one region. Each region is considered as a single firm where more than 30 distinct refinery processes are modeled. Refining capacity is allowed to expand in each region, but the model does not distinguish between additions to existing refineries or the building of new facilities. Investment criteria are developed exogenously, although the decision to invest is endogenous.

220

The National Energy Modeling System: An Overview 2000 - appendix  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, Integrating Module of the National Energy Modeling System: Model Documentation DOE/EIA-M057(2000) (Washington, DC, December 1999). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2000) (Washington, DC, December 1999). Energy Information Administration, Documentation of the DRI Model of the U.S. Economy, DOE/EIA- M061 (Washington, DC, December 1993). Energy Information Administration, NEMS International Energy Module: Model Documentation Report, DOE/EIA-M071(99) (Washington, DC, February 1999).

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221

Charge exchange processes involving iron ions  

DOE Green Energy (OSTI)

A review and evaluation is given of the experimental data which are available for charge exchange processes involving iron ions and neutral H, H/sub 2/ and He. Appropriate scaling laws are presented, and their accuracy estimated for these systems. A bibliography is given of available data sources, as well as of useful data compilations and review articles. A procedure is recommended for providing single approximate formulae to the fusion community to describe total cross sections for electron capture by partially-stripped Fe/sup q+/ ions in collisions with H, H/sub 2/ and He, based on the scaling relationships suggested by Janev and Hvelplund.

Phaneuf, R.A.

1985-01-01T23:59:59.000Z

222

Tribal and stakeholder involvement in systems analysis  

SciTech Connect

Beginning in early 1995, U.S. Department of Energy began an experiment to link tribal and stakeholder representatives into technology assessment activities related to an Integrated Nonthermal Treatment System (INTS) study. The INTS study moved outside the framework of after-the-fact public involvement by providing the opportunity for technical and non-technical stakeholders alike to work together in the early predecision stages of the criteria development and assessment of options for innovative mixed waste treatment. The stakeholders gained an appreciation of the intense level of effort required to complete such an analysis. The engineers and scientists conducting the systems analyses had the opportunity (some for the first time) to learn more about tribal and stakeholder issues and how they might apply to the technical tasks related to technology assessment and selection.

McClure, L. [Lockheed Martin Idaho Technologies Company, Idaho Falls, ID (United States); Swartz, G. [Swartz and Associates, Boulder City, NV (United States); Cooley, C. [Department of Energy, Germantown, MD (United States)

1997-10-01T23:59:59.000Z

223

Introduction to Materials Modelling - TMS  

Science Conference Proceedings (OSTI)

Oct 23, 2006... simply described by modeling, even if it involves fundamental ideas ... least Handbook of Materials Modelling (2005) by Sidney Yip (editor).

224

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

SciTech Connect

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

Not Available

1995-01-03T23:59:59.000Z

225

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

SciTech Connect

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

Not Available

1994-02-28T23:59:59.000Z

226

Genomic Aspects of Research Involving Polyploid Plants  

Science Conference Proceedings (OSTI)

Almost all extant plant species have spontaneously doubled their genomes at least once in their evolutionary histories, resulting in polyploidy which provided a rich genomic resource for evolutionary processes. Moreover, superior polyploid clones have been created during the process of crop domestication. Polyploid plants generated by evolutionary processes and/or crop domestication have been the intentional or serendipitous focus of research dealing with the dynamics and consequences of genome evolution. One of the new trends in genomics research is to create synthetic polyploid plants which provide materials for studying the initial genomic changes/responses immediately after polyploid formation. Polyploid plants are also used in functional genomics research to study gene expression in a complex genomic background. In this review, we summarize the recent progress in genomics research involving ancient, young, and synthetic polyploid plants, with a focus on genome size evolution, genomics diversity, genomic rearrangement, genetic and epigenetic changes in duplicated genes, gene discovery, and comparative genomics. Implications on plant sciences including evolution, functional genomics, and plant breeding are presented. It is anticipated that polyploids will be a regular subject of genomics research in the foreseeable future as the rapid advances in DNA sequencing technology create unprecedented opportunities for discovering and monitoring genomic and transcriptomic changes in polyploid plants. The fast accumulation of knowledge on polyploid formation, maintenance, and divergence at whole-genome and subgenome levels will not only help plant biologists understand how plants have evolved and diversified, but also assist plant breeders in designing new strategies for crop improvement.

Yang, Xiaohan [ORNL; Ye, Chuyu [ORNL; Tschaplinski, Timothy J [ORNL; Wullschleger, Stan D [ORNL; Tuskan, Gerald A [ORNL

2011-01-01T23:59:59.000Z

227

The Distributive Impact Assessment Model (DIAM): Technology share component  

DOE Green Energy (OSTI)

The models described in this report are used to allocate total energy consumption in an energy end-use service area by fuel type (including electricity) within the Distributive Impact Assessment Model (DIAM) framework. The primary objective of the DIAM is to provide energy consumption and expenditure forecasts for different population categories that are consistent with the US Department of Energy (DOE) Energy Information Administration`s (EIA`s) National Energy Modeling System (NEMS) forecast, which is produced annually in the Annual Energy Outlook and periodically in support of DOE policy formulation and analysis. The models are multinominal logit models that have been estimated using EIA`s 1990 Residential Energy Consumption Survey. Three models were estimated: space heating share, water heating share, and cooking share. These models are used to allocate total end-use service consumption over different technologies defined by fuel type characteristics. For each of the end-use service categories, consumption shares are estimated for a subset of six fuel types: natural gas, electricity, liquid petroleum gas, fuel oil/kerosene, wood, and other fuel.

Poyer, D.A.; Earl, E.; Bonner, B.

1995-03-01T23:59:59.000Z

228

Surface interactions involved in flashover with high density electronegative gases.  

Science Conference Proceedings (OSTI)

This report examines the interactions involved with flashover along a surface in high density electronegative gases. The focus is on fast ionization processes rather than the later time ionic drift or thermalization of the discharge. A kinetic simulation of the gas and surface is used to examine electron multiplication and includes gas collision, excitation and ionization, and attachment processes, gas photoionization and surface photoemission processes, as well as surface attachment. These rates are then used in a 1.5D fluid ionization wave (streamer) model to study streamer propagation with and without the surface in air and in SF6. The 1.5D model therefore includes rates for all these processes. To get a better estimate for the behavior of the radius we have studied radial expansion of the streamer in air and in SF6. The focus of the modeling is on voltage and field level changes (with and without a surface) rather than secondary effects, such as, velocities or changes in discharge path. An experiment has been set up to carry out measurements of threshold voltages, streamer velocities, and other discharge characteristics. This setup includes both electrical and photographic diagnostics (streak and framing cameras). We have observed little change in critical field levels (where avalanche multiplication sets in) in the gas alone versus with the surface. Comparisons between model calculations and experimental measurements are in agreement with this. We have examined streamer sustaining fields (field which maintains ionization wave propagation) in the gas and on the surface. Agreement of the gas levels with available literature is good and agreement between experiment and calculation is good also. Model calculations do not indicate much difference between the gas alone versus the surface levels. Experiments have identified differences in velocity between streamers on the surface and in the gas alone (the surface values being larger).

Hodge, Keith Conquest; Warne, Larry Kevin; Jorgenson, Roy Eberhardt; Wallace, Zachariah Red; Lehr, Jane Marie

2010-01-01T23:59:59.000Z

229

Public involvement in radioactive waste management decisions  

SciTech Connect

Current repository siting efforts focus on Yucca Mountain, Nevada, where DOE`s Office of Civilian Radioactive Waste Management (OCRWM) is conducting exploratory studies to determine if the site is suitable. The state of Nevada has resisted these efforts: it has denied permits, brought suit against DOE, and publicly denounced the federal government`s decision to study Yucca Mountain. The state`s opposition reflects public opinion in Nevada, and has considerably slowed DOE`s progress in studying the site. The Yucca Mountain controversy demonstrates the importance of understanding public attitudes and their potential influence as DOE develops a program to manage radioactive waste. The strength and nature of Nevada`s opposition -- its ability to thwart if not outright derail DOE`s activities -- indicate a need to develop alternative methods for making decisions that affect the public. This report analyzes public participation as a key component of this openness, one that provides a means of garnering acceptance of, or reducing public opposition to, DOE`s radioactive waste management activities, including facility siting and transportation. The first section, Public Perceptions: Attitudes, Trust, and Theory, reviews the risk-perception literature to identify how the public perceives the risks associated with radioactivity. DOE and the Public discusses DOE`s low level of credibility among the general public as the product, in part, of the department`s past actions. This section looks at the three components of the radioactive waste management program -- disposal, storage, and transportation -- and the different ways DOE has approached the problem of public confidence in each case. Midwestern Radioactive Waste Management Histories focuses on selected Midwestern facility-siting and transportation activities involving radioactive materials.

NONE

1994-04-01T23:59:59.000Z

230

Factors Involved in Search Dog Training  

E-Print Network (OSTI)

Events of significant impact as recent as hurricane Ike yielded a consistent disturbing truth: we lack sufficient numbers of competent search dog [Canis familiaris] teams. This study was conceived to provide information in identifying factors involved in training competent search dogs. Obedience training methods, age training was initiated, previous handler canine training experience, and handler perception and emotional attachment to their search dog were examined through a sixty-six question survey. Achievement of a national certification was used as a measure of performance success. Association between factors and performance success was evaluated through Chi-Square testing. Surveys were announced through the National Search Dog Alliance (NSDA) and were available online; 177 were fully completed by respondents and used in the data analysis. Seventy-two percent of nationally certified canine team respondents preferred positive reinforcement methods. Several statistically significant associations were detected: (a) female handlers preferred positive reinforcement training methods [x^2 = 8.504, d.f.=1, P = 0.004], (b) as dogs matured use of active training equipment increased [x^2 = 54.043, d.f.= 2, P training each week had a higher proportion of national certifications [x^2 = 16.379, d.f. = 1, P less than 0.001]. The data also indicated a trend for handlers to have previous canine training experience equal to or greater than search dog training experience [x^2 = 118.36, d.f. = 9, P =0.05]. The results warrant further research on the effects of early training, the effects of training time investment, and the interaction between canine selection and handler understanding of canine learning theory.

Alexander, Michael B.

2009-05-01T23:59:59.000Z

231

Model documentation, Renewable Fuels Module of the National Energy Modeling System  

DOE Green Energy (OSTI)

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the Annual Energy Outlook 1998 (AEO98) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. For AEO98, the RFM was modified in three principal ways, introducing capital cost elasticities of supply for new renewable energy technologies, modifying biomass supply curves, and revising assumptions for use of landfill gas from municipal solid waste (MSW). In addition, the RFM was modified in general to accommodate projections beyond 2015 through 2020. Two supply elasticities were introduced, the first reflecting short-term (annual) cost increases from manufacturing, siting, and installation bottlenecks incurred under conditions of rapid growth, and the second reflecting longer term natural resource, transmission and distribution upgrade, and market limitations increasing costs as more and more of the overall resource is used. Biomass supply curves were also modified, basing forest products supplies on production rather than on inventory, and expanding energy crop estimates to include states west of the Mississippi River using information developed by the Oak Ridge National Laboratory. Finally, for MSW, several assumptions for the use of landfill gas were revised and extended.

NONE

1998-01-01T23:59:59.000Z

232

Building Technologies Office: Get Involved with Home Energy Score  

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

Get Involved with Home Get Involved with Home Energy Score to someone by E-mail Share Building Technologies Office: Get Involved with Home Energy Score on Facebook Tweet about Building Technologies Office: Get Involved with Home Energy Score on Twitter Bookmark Building Technologies Office: Get Involved with Home Energy Score on Google Bookmark Building Technologies Office: Get Involved with Home Energy Score on Delicious Rank Building Technologies Office: Get Involved with Home Energy Score on Digg Find More places to share Building Technologies Office: Get Involved with Home Energy Score on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Get Involved Partners Research & Background FAQs Home Performance with ENERGY STAR

233

EIA - The National Energy Modeling System: An Overview 2003-Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The National Energy Modeling System: An Overview 2003 Natural Gas Transmission and Distribution Module Figure 15. Natural Gas Transmission and Distribution Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Figure 16. Natural Gas Transmission and distribution Module Network. Need help, contact the National Energy Information Center at 202-586-8800. Natural Gas Transmission and distribution Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market–clearing prices for natural gas supplies and for end–use consumption, given the

234

EMERGENCY RESPONSE TO A TRANSPORTATION ACCIDENT INVOLVING RADIOACTIVE MATERIAL  

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

Emer Emer Emer Emer Emer Emergency Response to a T gency Response to a T gency Response to a T gency Response to a T gency Response to a Transportation ransportation ransportation ransportation ransportation Accident Involving Radioactive Material Accident Involving Radioactive Material Accident Involving Radioactive Material Accident Involving Radioactive Material Accident Involving Radioactive Material DISCLAIMER DISCLAIMER DISCLAIMER DISCLAIMER DISCLAIMER Viewing this video and completing the enclosed printed study material do not by themselves provide sufficient skills to safely engage in or perform duties related to emergency response to a transportation accident involving radioactive material. Meeting that goal is beyond the scope of this video and requires either additional

235

Building Technologies Program: How Do I Get Involved?  

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

How Do I Get Involved? How Do I Get Involved? to someone by E-mail Share Building Technologies Program: How Do I Get Involved? on Facebook Tweet about Building Technologies Program: How Do I Get Involved? on Twitter Bookmark Building Technologies Program: How Do I Get Involved? on Google Bookmark Building Technologies Program: How Do I Get Involved? on Delicious Rank Building Technologies Program: How Do I Get Involved? on Digg Find More places to share Building Technologies Program: How Do I Get Involved? on AddThis.com... About Laws & Regulations ENERGY STAR® Testing & Verification EPACT 2005 Test Procedures Information Resources Notices & Rules Certification & Enforcement Schedule Setting Public Workshops & Hearings State Petitions Useful Links Guidance & FAQs

236

Distributed generation capabilities of the national energy modeling system  

E-Print Network (OSTI)

the electricity and natural gas prices from the NEMS supply-links Electricity and Natural Gas Prices from Supply- sidecombination of low natural gas prices and cold weather would

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

237

Simulation study of an FES-Involved control strategy for lower limb rehabilitation robot  

Science Conference Proceedings (OSTI)

This paper proposes a functional electrical stimulation (FES)-involved control strategy for self-made exoskeleton lower limb rehabilitation robot for the training purpose of paraplegic patients caused by spinal cord injury (SCI) or stroke. Two muscles ... Keywords: FES, muscle model, rehabilitation robot, torque control

Yixiong Chen; Jin Hu; Feng Zhang; Zengguang Hou

2012-10-01T23:59:59.000Z

238

An external dose reconstruction involving a radiological dispersal device  

E-Print Network (OSTI)

Recent events have underscored the need for the United States government to provide streamlined emergency response procedures and subsequent dose estimations for personnel responding to incidents involving radioactive material. Indeed, the National Council on Radiation Protection and Measurements Report No. 138 (NCRP 2001) indicates that exposures received by first responders will be important for a number of reasons, including planning for the appropriate use of key personnel in an extended emergency situation. In response, the Department of Homeland Security has published Protective Action Guides (DHS 2006) to help minimize these exposures and associated risks. This research attempts to provide some additional radiological exposure knowledge so that an Incident Commander, with limited or no information, can make more informed decisions about evacuation, sheltering-in-place, relocation of the public, turn-back levels, defining radiation hazard boundaries, and in-field radiological dose assessments of the radiation workers, responders, and members of the public. A method to provide such insight begins with providing a model that describes the physics of radiation interactions, radiation source and geometry, collection of field measurements, and interpretation of the collected data. A Monte Carlo simulation of the model is performed so that calculated results can be compared to measured values. The results of this investigation indicate that measured organ absorbed doses inside a tissue equivalent phantom compared favorably to the derived organ absorbed doses measured by the Panasonic thermoluminescence dosimeters and with Monte Carlo �N� Particle modeled results. Additionally, a Victoreen 450P pressurized ion chamber measured the integrated dose and these results compared well with the Panasonic right lateral TLD. This comparison indicates that the Victoreen 450P ionization chamber could potentially serve as an estimator of real-time effective dose and organ absorbed dose, if energy and angular dependence corrections could be taken into account. Finally, the data obtained in this investigation indicate that the MCNP model provided a reasonable method to determine organ absorbed dose and effective dose of a simulated Radiological Dispersal Device in an Inferior-Superior geometry with Na99mTcO4 as the source of radioactive material.

Hearnsberger, David Wayne

2006-12-01T23:59:59.000Z

239

Cost Transfers Involving Sponsored Projects Directives and Procedures  

E-Print Network (OSTI)

Cost Transfers Involving Sponsored Projects Directives and Procedures Responsible Office: Office....................................................................................................................2 1.3 Cost Transfer.................................................................................................................2 2. Project Management

Watson, Craig A.

240

EIA Renewable Energy- Number of Companies Involved in Photovoltaic ...  

U.S. Energy Information Administration (EIA)

Renewable data table showing the number of companies involved with cell manufacturing, module/system design, prototype module and systems development, wholesale ...

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


241

Definition: Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

Modeling Techniques Techniques that involve collecting data from one or more sources and developing a comprehensive representation of the data in a model View on...

242

DECONTAMINATION DRESSDOWN AT A TRANSPORTATION ACCIDENT INVOLVING RADIOACTIVE MATERIAL  

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

Video User' s Guide Video User' s Guide DECONTAMINATION DRESSDOWN AT A TRANSPORTATION ACCIDENT INVOLVING RADIOACTIVE MATERIAL DISCLAIMER Viewing this video and completing the enclosed printed study material do not by themselves provide sufficient skills to safely engage in or perform duties related to emergency response to a transportation accident involving radioactive material. Meeting that goal is beyond

243

Public Involvement Opportunities for the DUF6 Conversion Facility EISs  

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

Opportunities Opportunities Public Involvement Opportunities The public comment period for the Supplement Analysis for Disposal of Depleted Uranium Oxide Conversion Product Generated from DOE's Inventory of Depleted Uranium Hexafluoride is closed. Sorry! The public comment period for the Supplement Analysis for Disposal of Depleted Uranium Oxide Conversion Product Generated from DOE's Inventory of Depleted Uranium Hexafluoride is closed. The public comment form is no longer available. For information on other public involvement opportunities, please visit Public Involvement Opportunities. Ways to Provide Comments Comments may be submitted via the Public Comment Form on this Web site. Comments can also be mailed to: DU Disposal Supplement Analysis Comment Argonne National Laboratory

244

Microsoft Word - Number of Public Involvement Deliverables _2_.doc  

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

Document Document Public Involvement Deliverables Number of Public Involvement Deliverables Completed In a Typical Fiscal Year * Nevada Site Office Manager Environmental Management Weekly Reports: 52 per year * DOE Headquarters Environmental Management Weekly Report: 52 per year * Fact sheets: 20 * Briefings: approximately 100 presentations per year, averaging 15 slides each * Drafting of articles for distribution/posting as EM News Flash alerts: 10-12 per year * Videos: 1 'full-length' production video (@ ~10 minutes or more): 2-3 feature production videos (@ ~2 minutes) and numerous (+150) video clips and raw video * Maintenance of the web-based Environmental Management Information System (EMIS) Public Involvement portion. Maintenance includes uploading briefings,

245

The human thalamus is crucially involved in executive control operations  

Science Conference Proceedings (OSTI)

The processing of executive control is thought to involve cortical as well as thalamic brain areas. However, the questions of how thalamic structures contribute to the control of behavior and how cortical versus thalamic processing is coordinated remain ...

Frank Marzinzik; Michael Wahl; Gerd-Helge Schneider; Andreas Kupsch; Gabriel Curio; Fabian Klostermann

2008-10-01T23:59:59.000Z

246

DOE Involvement in Consensus Negotiations for Energy Conservation Standards  

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

Involvement in Consensus Negotiations for Energy Conservation Involvement in Consensus Negotiations for Energy Conservation Standards DOE Involvement in Consensus Negotiations for Energy Conservation Standards DOE Involvement in Consensus Negotiations for Energy Conservation Standards. The Department of Energy is supportive of outside parties' negotiations efforts to reach consensus on energy conservation standards and test procedures that can be presented for consideration by the Department However, neither the Department nor any of its contractors can: offer advice or suggestion on any standard or test procedure under consideration by outside parties; take a position on any standard or test procedure under consideration by outside parties; negotiate with outside parties; or participate in any way in discussions among outside parties.

247

Medical Education Research Scholars Program 2013 / 2014 Inform -Involve -Enable  

E-Print Network (OSTI)

#12;Medical Education Research Scholars Program 2013 / 2014 Inform - Involve - Enable revised 6/04/13 1 Medical Education Research Scholars Program (MERSP) Application Cover Sheet Please click _______________________________ Date: ____________ Department Chair Signature: ______________________ Date: _____________ #12;Medical

Finley Jr., Russell L.

248

Public involvement plan for the Oak Ridge Reservation  

SciTech Connect

This Public Information Plan is a user`s guide for getting involved in US Department of Energy environmental decisions in Oak Ridge, Tennessee. It outlines the many ways the public can help DOE find solutions to its environmental challenges. The plan focuses on DOE`s Environmental Management public involvement activities. Environmental Management is composed of the following programs: environmental restoration, technology development and waste management.

1996-06-01T23:59:59.000Z

249

OpenEI:Get Involved | Open Energy Information  

Open Energy Info (EERE)

OpenEI:Get Involved OpenEI:Get Involved Jump to: navigation, search How to GET INVOLVED WITH OpenEI Get involved with OpenEI Easy Ways You Can Get Involved Beginner.jpg Newbie Are you new to OpenEI, but not sure how to get started? That's ok! Its easy to get involved and contribute to OpenEI. Sign up for an account then start contributing wiki content Use social media to help share the word about OpenEI Join a local energy or technology interest group Scientist.jpg Content Developer Are you interested in adding, contributing, and editing content on OpenEI? Find out how to create and grow OpenEI's content and contribute. Create a New Page Upload Dataset - txt, zip, xml, csv, xls, xlsx, doc, docx, pdf, json, cbwfdb format Upload File - png, gif, jpg, jpeg, pdf, ppt, pptx format Join an OpenEI Project - OpenEI projects tackle specific challenges

250

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Levelized generation costs; Model documentation; Capital cost for electricity plants; About the National Energy Modeling System (NEMS) Retrospective Review for AEO2011;

251

Forecasting Wind Markets  

U.S. Energy Information Administration (EIA)

Emerging Technologies, Data, and NEM Modeling Issues in Wind Resource Supply Data and Modeling Chris Namovicz ASA Committee on Energy Statistics

252

Model Transformations And Tool Integration  

E-Print Network (OSTI)

Model transformations are increasingly recognised as being of significant importance to many areas of software development and integration. Recent attention on model transformations has particularly focused on the OMG's Queries / Views / Transformations (QVT) Request for Proposals (RFP). In this paper I motivate the need for dedicated approaches to model transformations, particularly for the data involved in tool integration, outline the challenges involved, and then present a number of technologies and techniques which allow the construction of flexible, powerful and practical model transformations.

Laurence Tratt

2004-01-01T23:59:59.000Z

253

New Method and Reporting of Uncertainty in LBNL National Energy Modeling System Runs  

E-Print Network (OSTI)

end-use carbon tax. The natural-gas price ramps up over timeto just impose a high natural gas price scenario, howeverimposing increased natural gas prices in LBNL-NEMS resulted

Gumerman, Etan Z.; LaCommare, Kristina Hamachi; Marnay, Chris

2002-01-01T23:59:59.000Z

254

GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM  

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

GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM The Department of Energy has on a variety of occasions engaged in transactions under which it bartered uranium to which it has title for goods or services . This guidance memorializes the results of analyses previously directed to individual proposed transactions . For the reasons discussed below, we conclude that the Atomic Energy Act of 1954' , as amended, (AEA), authorizes such barter transactions. Background : DOE Barter Transactions In a number of instances, DOE has engaged in transactions involving the barter of DOE-owned uranium2 in exchange for various products or services. For example, DOE entered into a transaction with the United States Enrichment Corporation (USEC), under which USEC would

255

Emergency Response to a Transportation Accident Involving Radioactive  

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

Response to a Transportation Accident Involving Response to a Transportation Accident Involving Radioactive Material Emergency Response to a Transportation Accident Involving Radioactive Material The purpose of this User's Guide is to provide instructors with an overview of the key points covered in the video. The Student Handout portion of this Guide is designed to assist the instructor in reviewing those points with students. The Student Handout should be distributed to students after the video is shown and the instructor should use the Guide to facilitate a discussion on each response disciplines' activities or duties at the scene. During this discussion, the instructor can present response scenarios, each of which would have a different discipline arriving first at the accident scene. The purpose of this discussion

256

Get Involved with Home Energy Score | Department of Energy  

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

Residential Buildings » Home Energy Score » Get Involved with Residential Buildings » Home Energy Score » Get Involved with Home Energy Score Get Involved with Home Energy Score The Department of Energy's (DOE) Home Energy Score helps homeowners understand the energy performance of their homes and how they compare to other homes nationwide. Energy professionals and organizations can use the Score to promote energy efficiency to homeowners and encourage investments in energy improvements. Information for Homeowners Information for Interested Organizations Information for Interested Assessors Highlights Home Energy Scoring Tool Updated Home Energy Scoring Tool v.2014 features improved calculation methodology, user interface and mobility on the 10-point scale. Visit the Research and Background webpage and DOE's Progress Alert to learn more.

257

The National Energy Modeling System: An Overview 2000 - Transportation  

Gasoline and Diesel Fuel Update (EIA)

transportation demand module (TRAN) forecasts the consumption of transportation sector fuels by transportation mode, including the use of renewables and alternative fuels, subject to delivered prices of energy fuels and macroeconomic variables, including disposable personal income, gross domestic product, level of imports and exports, industrial output, new car and light truck sales, and population. The structure of the module is shown in Figure 8. transportation demand module (TRAN) forecasts the consumption of transportation sector fuels by transportation mode, including the use of renewables and alternative fuels, subject to delivered prices of energy fuels and macroeconomic variables, including disposable personal income, gross domestic product, level of imports and exports, industrial output, new car and light truck sales, and population. The structure of the module is shown in Figure 8. Figure 8. Transportation Demand Module Structure NEMS projections of future fuel prices influence the fuel efficiency, vehicle-miles traveled, and alternative-fuel vehicle (AFV) market penetration for the current fleet of vehicles. Alternative-fuel shares are projected on the basis of a multinomial logit vehicle attribute model, subject to State and Federal government mandates.

258

Declarative symbolic pure-logic model checking  

E-Print Network (OSTI)

Model checking, a technique for findings errors in systems, involves building a formal model that describes possible system behaviors and correctness conditions, and using a tool to search for model behaviors violating ...

Shlyakhter, Ilya, 1975-

2005-01-01T23:59:59.000Z

259

Nanoelectromechanical (NEM) Relays Integrated with CMOS SRAM for Improved Stability and Low Leakage  

E-Print Network (OSTI)

. Buldyrev, and D. Srolovitz, J. Appl. Phys. 104, 074320 2008 . 10 H. Lee, R. A. Coutu, S. Mall, and K. D

Yoon, Jun-Bo

260

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

E-Print Network (OSTI)

cost to further test the effects of the assumptions about wind energyEnergy Outlook 1999, December 1998. Although the cost of windcost of wind in the input file by half (before learning-by-doing and other factors are assessed) is tested, wind energy

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

2001-01-01T23:59:59.000Z

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


261

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

E-Print Network (OSTI)

Combustion Turbine/Diesel Nuclear Power Pumped Storage Fuel Cells Total Non-Renewable Renewable Technologies Conventional Hydropower Geothermal Municipal Solid Waste Wood and

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

2001-01-01T23:59:59.000Z

262

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

E-Print Network (OSTI)

presents forecasts of energy supply, demand and pricesa reference case forecast with fossil fuel prices close toforecast for wind technologies. The AEO’s annual report of energy supply, demand, and prices

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

2001-01-01T23:59:59.000Z

263

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

E-Print Network (OSTI)

Documentation Report: Wind Energy Submodule (WES). DOE/EIA-The Economic Value of Wind Energy at High Power System5 The Wind Energy Submodule (

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

2001-01-01T23:59:59.000Z

264

Overview of NEMS-H2, Version 1.0 Frances Wood  

E-Print Network (OSTI)

International Energy: Gas Oil Electricity Natural Gas Transmission and Distribution Petroleum Refining Coal (grid-based electricity) · Each is represented by capital cost, non-fuel O&M costs, and energy sector to be represented by methodology and data that fit it best ­ Optimization techniques used

265

A SENSITIVITY ANALYSIS OF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION OF NEMS  

E-Print Network (OSTI)

LBNL-44070 TP-28529 A SENSITIVITY ANALYSIS OF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION and market penetration on the U.S. Department of Energy's Annual Energy Outlook (AEO) forecast for wind supply mix remains fairly steady, and renewable energy technologies such as wind do not achieve

266

Hydro Stakeholder Collaboration and Public Involvement Planning Case Studies  

Science Conference Proceedings (OSTI)

This report describes nine utility case applications of the hydro stakeholder communications and public involvement tools presented in a recent EPRI report. The resulting experience can assist utilities in developing an effective public outreach program that will pay off in long-term public support for hydro relicensing and operations.

1998-03-06T23:59:59.000Z

267

Involving Indigenous Peoples in Protected Area Management: Comparative Perspectives from  

E-Print Network (OSTI)

on the author's several years of field research experience in local community involve- ment in parks responsibility (IUCN/WWF 1999). These principles and guidelines state that indigenous people be recognized. Poverty; lack of education, access to health, and other government ser- vices; low level of infrastructure

Wilmers, Chris

268

Case against private utility involvement in solar/insulation programs  

SciTech Connect

The arguments against private utility involvement are arranged under the following headings: excessive profit-taking, monopolization/favoritism, increased cost to consumers, homeowners would pay twice, the lack of accountability, the lack of commitment to solar by utilities, solar/political/ethical considerations, solar/conservation technologies are inherently decentralized, and the other alternatives. (MHR)

Bossong, K.

1977-06-08T23:59:59.000Z

269

OSPREY Model  

SciTech Connect

The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

Veronica J. Rutledge

2013-01-01T23:59:59.000Z

270

Analytical Modeling | Open Energy Information  

Open Energy Info (EERE)

Analytical Modeling Analytical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Analytical Modeling Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Analytical Modeling: A mathematical modeling technique used for simulating, explaining, and making predictions about the mechanisms involved in complex physical processes. Other definitions:Wikipedia Reegle Introduction Analytical models are mathematical models that have a closed form solution. Or in other words the solution to the equations used to describe changes in

271

Feature - Argonne involved with proposed Green Fuels Depot in Naperville  

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

involved in Naperville's proposed Green Fuels Depot involved in Naperville's proposed Green Fuels Depot Naperville's proposed Green Fuels Depot The proposed Green Fuels Depot would produce renewable fuels for Naperville's vehicle fleet. Using grass clippings to power next-generation vehicles - now that's green transportation. This is one of the ideas being considered at Naperville's newly proposed Green Fuels Depot. The project, which will require $4 million in funding to get started, would bring together Argonne National Laboratory, the city of Naperville, Packer Engineering and the College of DuPage for an innovative plan to produce renewable energy. "It's a golden opportunity for Argonne to be associated with one of our neighboring communities in promoting new technologies that we have pioneered here at the laboratory," said Glenn Keller, manager of vehicle

272

Human Operational Errors Involving Control, Relay, and Auxiliary Equipment  

Science Conference Proceedings (OSTI)

This report describes the objectives, information gathering and analysis, and findings of a research effort related to human operational errors involving control, relay, and auxiliary equipment. This research is conducted by the Switching Safety and Reliability Project of EPRI8217s Substations Program. The project consists of three separate studies: 8226 an analysis of relay-related incidents attributed to human errors, 8226 a compilation of work practices when planning and performing work on relays, an...

2006-12-08T23:59:59.000Z

273

A spatially distributed flash flood forecasting model  

Science Conference Proceedings (OSTI)

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model ... Keywords: Distributed modelling, Dominant processes concept, Floods, Forecasting, Kalman Filter, Model accuracy, Parameter identification, Stream routing

Günter Blöschl; Christian Reszler; Jürgen Komma

2008-04-01T23:59:59.000Z

274

Statistical methods for genetic association analysis involving complex longitudinal data  

E-Print Network (OSTI)

and Time to Event Analysis ……………… 171 AnalysisLongitudinal and Time to Event Analysis As noted, missingand survival (time to event) analysis 62 . This joint model

Salem, Rany Mansour

2009-01-01T23:59:59.000Z

275

Experts Meeting: Behavioral Economics as Applied to Energy Demand...  

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

methods associated with the modeling of changing energy markets for purposes of public information and policy analysis. - EIA uses the NEMS tool, a computer-based,...

276

The Joy of Stochastic Forecasting: An Overview of the Stochastic...  

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

especially when clustered with loads in locally controlled buildings scale microgrids. He also leads forecasting work using the National Energy Modeling System (NEMS) and...

277

U.S. Energy Information Administration (EIA) - Pub  

Gasoline and Diesel Fuel Update (EIA)

NEMS - An Overview The National Energy Modeling System Component modules Annual Energy Outlook 2012 cases Appendix F: Regional Maps United States census divisions Electricity...

278

International Energy Module  

Reports and Publications (EIA)

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

Adrian Geagla

2012-11-05T23:59:59.000Z

279

U.S. Energy Information Administration Analysis of Selected ...  

U.S. Energy Information Administration (EIA)

All-electric and hybrid-electric heavy vehicles also were not modeled for this analysis. All-electric heavy vehicles are not represented in the NEMS. Hybrid-

280

International Energy Module  

Reports and Publications (EIA)

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

Adrian Geagla

2013-10-22T23:59:59.000Z

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


281

Petroleum Market Module  

U.S. Energy Information Administration (EIA)

Cellulosic biomass feedstock supplies and costs are taken from the NEMS Renewable Fuels Model. Initial capital costs for biomass cellulosic ethanol were obtained f ...

282

DOE Hydrogen Analysis Repository: Hydrogen's Role in Climate...  

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

of FCEVs to meeting national goals of reducing greenhouse gas (GHG) emissions and oil imports. Models Used: NEMS-H2 ProductsDeliverables Description: FY 2011 Annual...

283

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

About the National Energy Modeling System (NEMS) Retrospective Review for AEO2011; Thank You. We welcome your comments or suggestions (optional).

284

Radiation-induced responses involved in intercellular signaling...  

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

blood lymphocytes irradiated ex vivo and in vivo from patients undergoing total body irradiation, as well as in studies employing mouse models. In addition to genes with roles in...

285

Modeling U.S. Energy Use Changes with Global Climate Change  

Science Conference Proceedings (OSTI)

Using a general circulation model of Earth climate (PCM-IBIS) to drive an energy use model (DD-NEMS), we calculated the energy use changes for each year from 2003-2025 for the nine U.S. Census regions. We used five scenarios: 1) a reference with no change in temperatures from the 1970-2003 average, 2) a gradual 1 F rise in temperature by 2025, 3) a gradual 3 F rise by 2025, 4) a climate simulation with low temperature response to CO2 doubling in the atmosphere, and 5) a climate simulation with a more extreme response. The low-?T scenario had a cumulative reduction in energy of 2.1 Quads but an increase in cost of $14.8 billion. The northern states had reductions in cost over the entire period, but most other regions had increases in costs because increases in cooling costs outweighed reductions in heating and other energy uses. Higher temperature sensitivity resulted in increased warming, especially in the winter months. Because heating needs decreased, total energy requirements declined by a cumulative 4.2 Quads. However, total cost still increased $6.1 billion and carbon emissions still rose as coal-based electricity for cooling needs grew.

Hadley, Stanton W [ORNL; Erickson III, David J [ORNL; Hernandez Figueroa, Jose L [ORNL

2006-09-01T23:59:59.000Z

286

Multiple model inference.  

SciTech Connect

This paper compares three approaches for model selection: classical least squares methods, information theoretic criteria, and Bayesian approaches. Least squares methods are not model selection methods although one can select the model that yields the smallest sum-of-squared error function. Information theoretic approaches balance overfitting with model accuracy by incorporating terms that penalize more parameters with a log-likelihood term to reflect goodness of fit. Bayesian model selection involves calculating the posterior probability that each model is correct, given experimental data and prior probabilities that each model is correct. As part of this calculation, one often calibrates the parameters of each model and this is included in the Bayesian calculations. Our approach is demonstrated on a structural dynamics example with models for energy dissipation and peak force across a bolted joint. The three approaches are compared and the influence of the log-likelihood term in all approaches is discussed.

Swiler, Laura Painton; Urbina, Angel

2010-07-01T23:59:59.000Z

287

Modeling of concentrated aqueous solutions: Efficient implementation of Pitzer equations in geochemical and reactive transport models  

Science Conference Proceedings (OSTI)

Modeling concentrated solutions demands the use of ion-interaction models such as Pitzer equations, which involve a large number of operations. Implementation of these models in large reactive transport simulations significantly increases the computation ... Keywords: Concentrated solutions, Evaporation of seawater, Geochemical modeling, HMW model, Invariant points, Object-oriented programming, Pitzer, Reactive transport modeling

S. A. Bea; J. Carrera; C. Ayora; F. Batlle

2010-04-01T23:59:59.000Z

288

State Traffic Safety Information - Fatal Crashes Involving Speeding :  

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

Illinois (2007-2009) Illinois (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving Speeding : Illinois (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

289

State Traffic Safety Information - Fatal Crashes Involving a Large Truck :  

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

Hawaii (2007-2009) Hawaii (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving a Large Truck : Hawaii (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

290

State Traffic Safety Information - Fatal Crashes Involving a Large Truck :  

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

Delaware (2007-2009) Delaware (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving a Large Truck : Delaware (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness

291

State Traffic Safety Information - Fatal Crashes Involving Speeding :  

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

Hawaii (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving Speeding : Hawaii (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

292

State Traffic Safety Information - Fatal Crashes Involving a Large Truck :  

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

District of Columbia (2007-2009) District of Columbia (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving a Large Truck : District of Columbia (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility

293

State Traffic Safety Information - Fatal Crashes Involving Speeding : Iowa  

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

Iowa Iowa (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving Speeding : Iowa (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

294

Overview of the 2012 IECC and DOE's Involvement  

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

ENERGY CODES ENERGY CODES energycodes.gov BUILDING ENERGY CODES Overview of the 2012 IECC and DOE's Involvement Pam Cole Building Energy Codes Program Pacific Northwest National Laboratory BUILDING ENERGY CODES energycodes.gov * 1980's through 2006 - Minimum codes were truly minimal - DOE pushed for marginal improvements (1% to 3% per cycle) - DOE proposed (successfully) a major rewrite of the IECC in 2004 (became the 2006 IECC)-emphasis was format, not stringency * 2009 to Present..... - Things are getting more serious The World of Codes BUILDING ENERGY CODES energycodes.gov * Summary of changes - ~30% better than 2006 IECC - Major changes * Consolidated with IRC energy chapter (actually a change to the IRC, not the IECC) * Mandatory whole-house pressure test * More stringent duct leakage test

295

State Traffic Safety Information - Fatal Crashes Involving a Large Truck :  

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

Indiana (2007-2009) Indiana (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving a Large Truck : Indiana (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness

296

State Traffic Safety Information - Fatal Crashes Involving a Large Truck :  

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

Idaho (2007-2009) Idaho (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving a Large Truck : Idaho (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

297

Accurate Numerical Simulations Of Chemical Phenomena Involved in Energy  

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

Visualization of the spin density from the excess electron cluster. Robert Visualization of the spin density from the excess electron cluster. Robert Harrison Accurate Numerical Simulations Of Chemical Phenomena Involved in Energy Production and Storage with MADNESS and MPQC PI Name: Robert Harrison PI Email: harrisonrj@ornl.gov Institution: ORNL Allocation Program: ESP Allocation Hours at ALCF: 150 Million Year: 2010 to 2013 Research Domain: Chemistry Researchers propose to focus on the problems of catalysis and heavy element chemistry for fuel reprocessing-both of which are of immediate interest to the Department of Energy (DOE), are representative of a very broad class of problems in chemistry, and demand the enormous computational resources anticipated from the next generation of leadership computing facilities. Also common to both is the need for accurate electronic structure

298

State Traffic Safety Information - Fatal Crashes Involving Speeding :  

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

Kansas (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving Speeding : Kansas (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

299

State Traffic Safety Information - Fatal Crashes Involving Speeding : Maine  

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

Maine Maine (2007-2009) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data State Traffic Safety Information - Fatal Crashes Involving Speeding : Maine (2007-2009) Dataset Summary Description The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data. Tags {geospatial,fatality,crash,data,safety,roadway,vehicle,human,person} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

300

An analysis of factors contributing to train-involved crashes  

E-Print Network (OSTI)

A railroad-highway grade crossing is a unique intersection in that two different modes of transportation (trains and vehicles) use the same physical space. Many factors can contribute to collisions between trains and vehicles at these crossings. Crashes involving trains and vehicles are a significant safety problem in Texas each year. This research attempts to identify and analyze contributing factors to train-involved accidents in Texas. Three years of accident data (1328 total accidents) were analyzed for the contributing factors. The contributing factors were classified into four categories: railroad factors, environmental factors, roadway factors, and driver/passenger factors. The accident data was analyzed using one and two-way classification tables. The frequency distributions for the accidents included in this study were compared to the corresponding frequency distributions for national or statewide accidents using a Chi-Square statistical test. Finally, research hypotheses were formulated based on a literature review of driver behavior and previous accident studies and then tested using population proportion tests. The results of the identification of contributing factors showed that tried to beat train, impaired driver, stuck, stalled, or stopped on tracks, driving around gates, and driver inattention were the five most frequent primary contributing factors. The Chi-Square comparison of frequency distributions for accidents included in this study showed that the protection type, time of day, light conditions, driver race and sex, accident severity, location type, and roadway class were statistically different compared to the corresponding national and statewide frequency distributions. The analysis of the research hypotheses showed that hypotheses 3, 8, and 10 were supported according to the population proportion testing.

Cooner, Scott Allen

1995-01-01T23:59:59.000Z

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


301

OVERVIEW OF THE COUPLED MODEL INTERCOMPARISON PROJECT  

Science Conference Proceedings (OSTI)

The Coupled Model Intercomparison Project (CMIP) involves study and intercomparison of multi-model simulations of present and future climate. The simulations of the future use idealized forcing in increase is compounded which CO2 1% yr?1 until it ...

Gerald A. Meehl; Curt Covey; Bryant McAvaney; Mojib Latif; Ronald J. Stouffer

2005-01-01T23:59:59.000Z

302

ABSTRACT: The Community Environmental Monitoring Program: Reducing Public Perception of Risk Through Stakeholder Involvement  

Science Conference Proceedings (OSTI)

Between 1951 and 1992, 928 nuclear tests were conducted at the Nevada Test Site (NTS), including 100 atmospheric and 828 underground tests. Initial public reaction to the tests was largely supportive, but by the late 1950s this began to change, largely as a result of fear of the potential for adverse health effects to be caused by exposure to ionizing radiation resulting from the tests. The nuclear power plant accident at Three Mile Island in 1979 served to heighten these fears, as well as foster a general distrust of the federal agencies involved and low public confidence in monitoring results. Modeled after a similar program that involved the public in monitoring activities around the Three Mile Island nuclear power plant, the Community Environmental Monitoring Program (CEMP) has promoted stakeholder involvement, awareness, and understanding of radiological surveillance in communities surrounding the NTS since 1981. It involves stakeholders in the operation, data collection, and dissemination of information obtained from a network of 29 stations across a wide area of Nevada, Utah, and California. It is sponsored by the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office (NNSA/NSO) and administered by the Desert Research Institute (DRI) of the Nevada System of Higher Education. Since assuming administration of the program in 2000, DRI has accomplished significant enhancements to the network's data collection and transmission capabilities. A robust datalogging and communications system allows for the near real-time transmission of data to a platform maintained by DRI's Western Regional Climate Center, where the data are uploaded and displayed on a publicly accessible web site (http://cemp.dri.edu/). Additionally, the CEMP can serve as part of an emergency response network in the event of an unplanned radiological release from the NTS, and also provides an excellent platform for testing new environmental sensor technologies. Finally, the CEMP provides training workshops for involved stakeholders, and educational programs, which help to alleviate public perception of risk of health effects from past activities conducted at the NTS.

T. Hartwell

2007-02-28T23:59:59.000Z

303

Comparison of chiller models for use in model-based fault detection  

E-Print Network (OSTI)

detection and diagnosis (FDD). Factors that are consideredtheir applicability to model based FDD of vapor compressionextended equipment life. FDD involves two steps: detecting

Sreedharan, Priya; Haves, Philip

2001-01-01T23:59:59.000Z

304

Kinetics and dynamics of oxidation reactions involving an adsorbed CO species on bulk and supported platinum and copper-oxide  

DOE Green Energy (OSTI)

The proposed research is an integrated experimental and modeling study of oxidation reactions involving CO as a key player -- be it a reactant, adsorbed intermediate, and/or partial oxidation product -- in the catalytic sequence and chemistry. The reaction systems of interest in the project include CO, formaldehyde, and methanol oxidation by O{sub 2} and CO oxidation by NO, on both Pt and copper oxide catalysts. These reactions are of importance in automobile exhaust catalysis. There is a paucity of rate data in the literature for these important environmental control reactions. The goal of this research is to better understand the catalytic chemistry and kinetics of oxidations reactions involving CO as an adsorbed intermediate. Successfully meeting this goal requires an integration of basic kinetic measurements, in situ catalyst surface monitoring, kinetic modeling, and nonlinear mathematical tools.

Harold, M.P.

1991-07-01T23:59:59.000Z

305

MULTIOBJECTIVE OPTIMIZATION POWER GENERATION SYSTEMS INVOLVING CHEMICAL LOOPING COMBUSTION  

SciTech Connect

Integrated Gasification Combined Cycle (IGCC) system using coal gasification is an important approach for future energy options. This work focuses on understading the system operation and optimizing it in the presence of uncertain operating conditions using ASPEN Plus and CAPE-OPEN compliant stochastic simulation and multiobjective optimization capabilities developed by Vishwamitra Research Institute. The feasible operating surface for the IGCC system is generated and deterministic multiobjective optimization is performed. Since the feasible operating space is highly non-convex, heuristics based techniques that do not require gradient information are used to generate the Pareto surface. Accurate CFD models are simultaneously developed for the gasifier and chemical looping combustion system to characterize and quantify the process uncertainty in the ASPEN model.

Juan M. Salazar; Urmila M. Diwekar; Stephen E. Zitney

2009-01-01T23:59:59.000Z

306

Review of ARAC's involvement in the Titan II missile accident  

SciTech Connect

The Atmospheric Release Advisory Capability (ARAC) response to the Titan II accident near Damascus, Arkansas on 19 September 1980 entailed 12 personnel for periods ranging from 2 to 12 hours. The first call was a NEST Standby alert at 0415L (PCT), followed by a request for dispersal calculations at 0615L, personnel callout at 0630L, crude estimates of plausible source term scenarios at 0845-0900L, first model calculations at 1130L and final model calculations at 1500L. While several new firsts were recorded for ARAC, demonstrating expanded capabilities for NEST-type responses, time lines were very long, essential information was very scant to non-existent, and useful communication of final calculations to the accident site impossible. A detailed chronology is found in Appendix A and a list of acronyms and abbreviations is contained in Appendix B.

Sullivan, T.J.

1980-10-01T23:59:59.000Z

307

Personnel involved in nuclear standards development: 1980 directory  

Science Conference Proceedings (OSTI)

The development of nuclear standards is an active and necessary endeavor that is concerned with the safe, orderly, and economic development of nuclear potential. There are almost 4100 people from the teachnical community who are presently involved either in writing nuclear standards, including codes, or in the management and processing roles necessary for their approval and promulgation. This document identifies the current participation of each individual as member, chairman, cochairman (vice-chairman), or secretary of about 700 standards development committees and groups. The standards committees and groups are identified with the organizations that are responsible for the preparation, review, and maintenance of the standards and that provide support through supervisory committees and headquarters staff. This directory includes four major sections: personnel, employers, committees, and a Key-Word-in-Context (KWIC) Index of committee titles. It can also be used to identify the participation of employers as well as to recognize the contributions of individuals to the often interdisciplinary activity of standards development.

Carr, S.J. (ed.)

1980-03-01T23:59:59.000Z

308

The character of resonant charge exchange involving highly excited atoms  

SciTech Connect

We study the process of resonant charge exchange involving excited helium atoms with the principal quantum number n = 5 colliding with the helium ion in the ground state in the collision energy range from thermal up to 10 eV. This information may be important for the analysis of planet atmospheres containing helium, in particular, for Jupiter's atmosphere, but our basic interest is the transition from the quantum to classical description of this process, where, due to large cross sections, evaluations of the cross sections are possible. For the chosen process, quantum theory allows determining the cross section as a result of a tunnel electron transition, while classical theory accounts for over-barrier electron transitions. The classical theory additionally requires effective transitions between states with close energies. The analysis of these transitions for helium with n = 5 shows that electron momenta and their projections are mixed for a part of the states, while for other states, the mixing is absent. A simple criterion to separate such states is given. In addition, the main contribution to the cross section of resonant charge exchange follows from tunnel electron transitions. As a result, the quantum theory is better for calculating the cross sections of resonant charge exchange than the classical one and also allows finding the partial cross sections of resonant charge exchange, while the classical approach gives the cross section of resonant charge exchange in a simple manner with the accuracy of 20%.

Kosarim, A. V.; Smirnov, B. M., E-mail: bmsmirnov@gmail.com [Russian Academy of Sciences, Joint Institute for High Temperatures (Russian Federation); Capitelli, M. [University of Bari, Department of Chemistry (Italy); Laricchiuta, A. [IMIP CNR, Sezione Territoriale di Bari (Italy)

2012-12-15T23:59:59.000Z

309

The National Energy Modeling System: An Overview 2000 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market-clearing prices for natural gas supplies and for end-use consumption, given the information passed from other NEMS modules. A transmission and distribution network (Figure 15), composed of nodes and arcs, is used to simulate the interregional flow and pricing of gas in the contiguous United States and Canada in both the peak (December through March) and offpeak (April through November) period. This network is a simplified representation of the physical natural gas pipeline system and establishes the possible interregional flows and associated prices as gas moves from supply sources to end users. natural gas transmission and distribution module (NGTDM) of NEMS represents the natural gas market and determines regional market-clearing prices for natural gas supplies and for end-use consumption, given the information passed from other NEMS modules. A transmission and distribution network (Figure 15), composed of nodes and arcs, is used to simulate the interregional flow and pricing of gas in the contiguous United States and Canada in both the peak (December through March) and offpeak (April through November) period. This network is a simplified representation of the physical natural gas pipeline system and establishes the possible interregional flows and associated prices as gas moves from supply sources to end users. Figure 15. Natural Gas Transmission and Distribution Module Network

310

[The first steps of chlorophyll synthesis: RNA involvement and regulation  

DOE Green Energy (OSTI)

Glu-tRNA[sup Glu] is synthesized from glutamate and tRNA[sup Glu] by glutamyl-tRNA synthetase (GluRS). Recent work has demonstrated that Glu-tRNA[sup Glu] has dual functions and is a precursor for protein and 5-aminolevulinate (ALA) synthesis. Current data does not provide compelling evidence for the notion that GluRS is regulated by chlorophyll precursors or in concert with the other enzymes of ALA synthesis. We have redefined the C5-pathway as a two-step route to ALA starting with Glu-tRNA[sup Glu]. Only two enzymes, Glu-tRNA reductase (GluTR) and GSA-2,1-amino-mutase (GSA-AM), are specifically involved in ALA synthesis. We have purified these enzymatic activities from Chlamydomonas and demonstrated that the two purified proteins in the presence of their cofactors NADPH and pyridoxal phosphate are sufficient for the in vitro Glu-tRNA [yields] ALA conversion. We have cloned the genes encoding GluTR. The sequences of the GluTR proteins deduced from these genes share highly conserved regions with those of bacterial origin. We havealso cloned and analyzed the gene encoding GSA-AM from Arabidopsis. As in Salmonella typhimurium, there are indications of the existence of an additional pathway for ALA formation in E. coli. To shed light on the recognition of the single tRNA[sup Glu] by the chloroplast enzymes GluTR, GluRS we characterized a chlorophyll-deficient mutant of Euglena having tRNA[sup Glu] with a point mutation in the T[Psi]C-loop. The altered tRNA supports protein but not ALA synthesis.

Soell, D.

1992-01-01T23:59:59.000Z

311

Model studies of the structures, reactivities, and reaction mechanisms of metalloenzymes  

Science Conference Proceedings (OSTI)

Electronic structure theory, which in recent years has been actively and effectively applied to the modeling of chemical reactions involving transition-metal complexes, is now also being applied to the modeling of biological processes involving metalloenzymes. ...

K. Morokuma; D. G. Musaev; T. Vreven; H. Basch; M. Torrent; D. V. Khoroshun

2001-05-01T23:59:59.000Z

312

Transportation Sector Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2012-10-31T23:59:59.000Z

313

Transportation Sector Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model.

John Maples

2013-09-05T23:59:59.000Z

314

A New, Stochastic, Energy Model of the U.S. is Under Construction: SEDS and Its Industrial Structure  

E-Print Network (OSTI)

"A new energy model for the United States is currently being constructed by staff at five National Laboratories for the Office of Energy Efficiency and Renewable Energy at the Department of Energy. This new model, SEDS (Stochastic Energy Deployment Model), is designed to test the impact of DOE R&D on energy use in the economy. The “stochastic” part of this model will also allow examination of the risks associated with sudden oil shocks, imposition of carbon taxes or trading schemes, and other shocks to the energy economy. SEDS is organized by supply-side and demand-side sectors. The supply-side sectors include electricity, liquid fuels, natural gas, coal, and various renewable energy options. On the demand side, there are the usual suspects: industry, commercial buildings, residential buildings, and two transport sectors, light-duty vehicles and heavy-duty vehicles. The industrial sector is currently modeled as a single sector, using the latest Manufacturing Energy Consumption Survey (MECS) to calibrate energy consumption to end-use energy categories: boilers, process heating, electro-chemical processes, and other process requirements. As with the CIMS model, these process requirements have ancillary requirements – conveyance, motor drive, pumps, fans, and compressors – that all require certain classes of motors. Lighting and HVAC are considered separately from process requirements. The current version of SEDS, called SEDS-Lite, has technology detail in many sectors, but these are quite simple. The intent is to add detail over time: this year, we expect to add a pulp and paper sector and a iron and steel sector, pull these and petroleum refining out of the aggregate industrial sector, and add the non-manufacturing industrial component to the model. In future years, we expect the industrial detail to replicate CIMS. Our simulations with the industrial sector of SEDS-Lite will show how closely it tracks the NEMS forecasts. Other simulations will demonstrate how the stochastic component can be used to show industry"

Roop, J. M.

2009-05-01T23:59:59.000Z

315

Modeling Compressed Turbulence  

Science Conference Proceedings (OSTI)

From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.

Israel, Daniel M. [Los Alamos National Laboratory

2012-07-13T23:59:59.000Z

316

TOWARD END-TO-END MODELING FOR NUCLEAR EXPLOSION MONITORING: SIMULATION OF UNDERGROUND NUCLEAR EXPLOSIONS AND EARTHQUAKES USING HYDRODYNAMIC AND ANELASTIC SIMULATIONS, HIGH-PERFORMANCE COMPUTING AND THREE-DIMENSIONAL EARTH MODELS  

Science Conference Proceedings (OSTI)

This paper describes new research being performed to improve understanding of seismic waves generated by underground nuclear explosions (UNE) by using full waveform simulation, high-performance computing and three-dimensional (3D) earth models. The goal of this effort is to develop an end-to-end modeling capability to cover the range of wave propagation required for nuclear explosion monitoring (NEM) from the buried nuclear device to the seismic sensor. The goal of this work is to improve understanding of the physical basis and prediction capabilities of seismic observables for NEM including source and path-propagation effects. We are pursuing research along three main thrusts. Firstly, we are modeling the non-linear hydrodynamic response of geologic materials to underground explosions in order to better understand how source emplacement conditions impact the seismic waves that emerge from the source region and are ultimately observed hundreds or thousands of kilometers away. Empirical evidence shows that the amplitudes and frequency content of seismic waves at all distances are strongly impacted by the physical properties of the source region (e.g. density, strength, porosity). To model the near-source shock-wave motions of an UNE, we use GEODYN, an Eulerian Godunov (finite volume) code incorporating thermodynamically consistent non-linear constitutive relations, including cavity formation, yielding, porous compaction, tensile failure, bulking and damage. In order to propagate motions to seismic distances we are developing a one-way coupling method to pass motions to WPP (a Cartesian anelastic finite difference code). Preliminary investigations of UNE's in canonical materials (granite, tuff and alluvium) confirm that emplacement conditions have a strong effect on seismic amplitudes and the generation of shear waves. Specifically, we find that motions from an explosion in high-strength, low-porosity granite have high compressional wave amplitudes and weak shear waves, while an explosion in low strength, high-porosity alluvium results in much weaker compressional waves and low-frequency compressional and shear waves of nearly equal amplitude. Further work will attempt to model available near-field seismic data from explosions conducted at NTS, where we have accurate characterization of the sub-surface from the wealth of geological and geophysical data from the former nuclear test program. Secondly, we are modeling seismic wave propagation with free-surface topography in WPP. We have model the October 9, 2006 and May 25, 2009 North Korean nuclear tests to investigate the impact of rugged topography on seismic waves. Preliminary results indicate that the topographic relief causes complexity in the direct P-waves that leads to azimuthally dependent behavior and the topographic gradient to the northeast, east and southeast of the presumed test locations generate stronger shear-waves, although each test gives a different pattern. Thirdly, we are modeling intermediate period motions (10-50 seconds) from earthquakes and explosions at regional distances. For these simulations we run SPECFEM3D{_}GLOBE (a spherical geometry spectral element code). We modeled broadband waveforms from well-characterized and well-observed events in the Middle East and central Asia, as well as the North Korean nuclear tests. For the recent North Korean test we found that the one-dimensional iasp91 model predicts the observed waveforms quite well in the band 20-50 seconds, while waveform fits for available 3D earth models are generally poor, with some exceptions. Interestingly 3D models can predict energy on the transverse component for an isotropic source presumably due to surface wave mode conversion and/or multipathing.

Rodgers, A; Vorobiev, O; Petersson, A; Sjogreen, B

2009-07-06T23:59:59.000Z

317

Low-Level Plutonium Sample Involved in NIST-Boulder Lab ...  

Science Conference Proceedings (OSTI)

Low-Level Plutonium Sample Involved in NIST-Boulder Lab Incident. For Immediate Release: June 10, 2008. ...

2010-10-05T23:59:59.000Z

318

The National Energy Modeling System: An Overview 1998 - Macroeconomic...  

Gasoline and Diesel Fuel Update (EIA)

of the Underlying Core Models Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where...

319

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases JUMP TO: The National Energy Modeling System | Component modules | Annual Energy Outlook 2013 cases The National Energy Modeling System Projections in the Annual Energy Outlook 2013 (AEO2013) are generated using the National Energy Modeling System (NEMS) [148], developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups, such as the Electric Power Research Institute, Duke University, and Georgia Institute

320

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015

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


321

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases On This Page The National Energy Modeling... Component modules Annual Energy Outlook 2011... The National Energy Modeling System The projections in the Annual Energy Outlook 2011 (AEO2011) are generated from the National Energy Modeling System (NEMS) [1], developed and maintained by the Office of Energy Analysis (OEA), formerly known as the Office Integrated Analysis and Forecasting (OIAF), of the U.S. Energy Information Administration (EIA) [2]. In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups,

322

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases JUMP TO: The National Energy Modeling System | Component modules | Annual Energy Outlook 2013 cases The National Energy Modeling System Projections in the Annual Energy Outlook 2013 (AEO2013) are generated using the National Energy Modeling System (NEMS) [148], developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups, such as the Electric Power Research Institute, Duke University, and Georgia Institute

323

Cloud service selection based on variability modeling  

Science Conference Proceedings (OSTI)

The selection among Cloud services is a recent problem in research and practice. The diversity of decision-relevant criteria, configurability of Cloud services and the need to involve human decision-makers require holistic support through models, methodologies ... Keywords: cloud service selection, decision-making, feature modeling, variability modeling

Erik Wittern; Jörn Kuhlenkamp; Michael Menzel

2012-11-01T23:59:59.000Z

324

Geometric polyhedral models for nanotubes comprising hexagonal lattices  

Science Conference Proceedings (OSTI)

Two new models for the geometric structure of nanotubes comprising hexagonal lattices are described. The existing models for nanotubes typically involve rolled up planar sheets and ignore discrepancies due to curvature. The first of the models presented ... Keywords: Boron nitride nanotubes, Carbon nanotubes, Continuum models, Geometric models, Wall thickness

Barry J. Cox; James M. Hill

2011-05-01T23:59:59.000Z

325

Stochastic Averaging of Idealized Climate Models  

Science Conference Proceedings (OSTI)

Variability in the climate system involves interactions across a broad range of scales in space and time. While models of slow “climate” variability may not explicitly account for fast “weather” processes, the dynamical influence of these ...

Adam H. Monahan; Joel Culina

2011-06-01T23:59:59.000Z

326

Phenomenological Aspects of U(1)' Models  

SciTech Connect

This talk summarizes certain phenomenological aspects of the supersymmetric models with an extra U(1) invariance broken at the TeV scale. The discussions involve the Higgs sector, CP violation, Neutrino masses and the LHC signatures.

Demir, Durmus A. [Department of Physics, Izmir Institute of Technology, TR35430, Izmir (Turkey) and Deutsches Elektronen Synchrotron, DESY, D-22607, Hamburg (Germany)

2009-04-17T23:59:59.000Z

327

Commodity market modeling and physical trading strategies  

E-Print Network (OSTI)

Investment and operational decisions involving commodities are taken based on the forward prices of these commodities. These prices are volatile, and a model of their evolution must correctly account for their volatility ...

Ellefsen, Per Einar

2010-01-01T23:59:59.000Z

328

Formulation and Evaluation of a Nonhydrostatic Mesoscale Vorticity Model (TVM)  

Science Conference Proceedings (OSTI)

This paper describes the formulation and the application of the nonhydrostatic anelastic vorticity model (TVM). This model is constructed using a method involving two horizontal streamfunctions and two horizontal vorticity components. The ...

P. Thunis; A. Clappier

2000-09-01T23:59:59.000Z

329

Ocean Eddy Dynamics in a Coupled Ocean–Atmosphere Model  

Science Conference Proceedings (OSTI)

The role of mesoscale oceanic eddies is analyzed in a quasigeostrophic coupled ocean–atmosphere model operating at a large Reynolds number. The model dynamics are characterized by decadal variability that involves nonlinear adjustment of the ...

P. Berloff; W. Dewar; S. Kravtsov; J. McWilliams

2007-05-01T23:59:59.000Z

330

The involvement of Pseudomonas putida in basidiome initiation of the cultivated mushroom Agaricus bisporus.  

E-Print Network (OSTI)

??The involvement of pseudomonads In the process of basidiome initiation of the cultivated mushroom Agaricus bisporus was investigated. Pseudomonads used throughout the study were identified… (more)

Rainey, Paul Barton

1989-01-01T23:59:59.000Z

331

Can I obtain a list of companies involved in the natural gas ...  

U.S. Energy Information Administration (EIA)

Can I obtain a list of companies involved in the natural gas industry, such as utilities, pipeline companies, and storage operators? Yes. EIA collects and publishes a ...

332

AN INVESTIGATION OF THE COGNITIVE AND PERCEPTUAL MECHANISMS INVOLVED IN MANIA-PRONENESS.  

E-Print Network (OSTI)

??The present research investigates the cognitive and perceptual mechanisms involved in mania-proneness. Building on the work of Depue and colleagues (Depue & Iacono, 1989; Depue… (more)

Mercer, Kimberly

2010-01-01T23:59:59.000Z

333

Black Seminole involvement and leadership during the Second Seminole War, 1835 – 1842.  

E-Print Network (OSTI)

?? This thesis examines the involvement, leadership, and impact of the Black Seminoles during the Second Seminole War. In Florida, free Blacks, runaway slaves, and… (more)

Dixon, Anthony E.

2007-01-01T23:59:59.000Z

334

Application of Dissolution Dynamic Nuclear Polarization to the Characterization of Reactions Involving Large Molecules  

E-Print Network (OSTI)

Nuclear magnetic resonance (NMR) spectroscopy is one of the most important analytical tools for organic and biological chemistry. It provides not only detailed information on the structure of small molecules and macromolecules, but also on molecular interactions. Because of the inherent low sensitivity of NMR, a long signal averaging time or a high spin concentration is often required. A variety of methods have been explored to improve the sensitivity of NMR. Especially, large signal gains can be obtained by hyperpolarization of the nuclear spins. NMR signals of hyperpolarized samples are enhanced by several orders of magnitude. Dissolution Dynamic Nuclear Polarization (D-DNP) is a versatile technique capable of polarizing many different nuclei in the solid state, and subsequently providing a hyperpolarized liquid sample following a dissolution step. The resulting signal enhancement has made it possible to obtain detailed information in research fields as varied as metabolic imaging or enzyme catalysis. This dissertation aims to extend the applicability of D-DNP into new areas of chemistry, which involve the characterization of interactions and reactions involving large molecules. In a first project, fluorine hyperpolarization is exploited to investigate protein-ligand interactions. The enhancement of 19F signal allows for the detection of submicromolar concentrations of fluorinated ligands in the strong-, intermediate-, and weak-binding regimes. Several NMR parameters are utilized to observe ligand binding to the macromolecule, and to determine dissociation constants. In a second project, competitive binding of ligands to the same binding pocket on a protein is investigated. Here, polarization flows from a first ligand hyperpolarized on protons to the protein, and then to the second ligand. The buildup in function of time of the signals due to this relayed nuclear Overhauser effect contains structural information on the binding epitope. In a third project, the aim is to directly detect a larger molecule, a polymer, which has been synthesized starting from hyperpolarized monomers. Using DNP, single scan observation of 13C, a common nucleus with large chemical shift dispersion, is possible. Time resolved 13C NMR spectroscopy in combination with kinetic models permits the description of polymerization reaction of the living anionic polymerization of styrene. In summary, several approaches have been investigated for utilizing a large hyperpolarization initially produced on small molecules, for the benefit of characterizing properties of macromolecules. These developments extend the capabilities of D-DNP and demonstrate the potential for leading to new applications in fields as diverse as drug discovery and polymer science.

Lee, Youngbok

2013-05-01T23:59:59.000Z

335

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

E-Print Network (OSTI)

. N. Schoess, and M. L. Wilson, "Fiber-optic vibration sensor based on frequency modulation of light1018 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 13, NO. 6, DECEMBER 2004 Limit Cycle. As the device moves within the field, the quantity of light absorbed and hence the resulting thermal stresses

Rand, Richard H.

336

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

E-Print Network (OSTI)

trend in the consumer market from personal computers (PCs) to mobile devices sparked a new era in computation that makes energy

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

337

Opportunities" Speakers: Deborah L. Bleviss, Johns Hopkins University...  

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

efficiency modeling and measurement in...for the 8th Annual Energy Outlook, using the National Energy Model-Modeling System or NEMS. In general, I'll describe the sources of...

338

Residential Sector Demand Module  

Reports and Publications (EIA)

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

Owen Comstock

2012-12-19T23:59:59.000Z

339

Industrial Demand Module  

Reports and Publications (EIA)

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

Kelly Perl

2013-05-14T23:59:59.000Z

340

Industrial Demand Module  

Reports and Publications (EIA)

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

Kelly Perl

2013-09-30T23:59:59.000Z

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


341

Residential Sector Demand Module  

Reports and Publications (EIA)

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

Owen Comstock

2013-11-05T23:59:59.000Z

342

Quantum Circuit Model Topological Model  

E-Print Network (OSTI)

Quantum Circuit Model Topological Model Comparison of Models Topological Quantum Computation Eric Rowell Texas A&M University October 2010 Eric Rowell Topological Quantum Computation #12;Quantum Circuit Model Topological Model Comparison of Models Outline 1 Quantum Circuit Model Gates, Circuits

Rowell, Eric C.

343

Rural electrification cooperative model (Solar-PV) in Madhya Pradesh  

Science Conference Proceedings (OSTI)

In order to speed up the development of energy supply, involving the local population can be one of the main drivers for the success story of rural electrification. The local community involvement could be crystallised in the form of a cooperative model, ... Keywords: cooperative, electrification, model, renewable energy sources, rural, solar-PV, town

Najib Altawell; Tariq Muneer

2011-12-01T23:59:59.000Z

344

Why the CHI Community Should be Involved in Standards: Stories from Three CHI Participants  

Science Conference Proceedings (OSTI)

In this article, the three authors tell their stories about involvement in standards that are relevant to the computer human interaction community(CHI). Their reasoning for being involved is given and readers are also given information about different organizations that develop standards relevant to CHI.

Lund, Arnie; Scholtz, Jean; Bevan, Nigel

2012-02-01T23:59:59.000Z

345

Issues Involving The OSI Concept of Operation For Noble Gas Radionuclide Detection  

Science Conference Proceedings (OSTI)

The development of a technically sound protocol for detecting the subsurface release of noble gas radionuclides is critical to the successful operation of an on site inspection (OSI) under the CTBT and has broad ramifications for all aspects of the OSI regime including the setting of specifications for both sampling and analysis equipment used during an OSI. With NA-24 support, we are investigating a variety of issues and concerns that have significant bearing on policy development and technical guidance regarding the detection of noble gases and the creation of a technically justifiable OSI concept of operation. The work at LLNL focuses on optimizing the ability to capture radioactive noble gases subject to the constraints of possible OSI scenarios. This focus results from recognizing the difficulty of detecting gas releases in geologic environments - a lesson we learned previously from the LLNL Non-Proliferation Experiment (NPE). Evaluation of a number of important noble gas detection issues, potentially affecting OSI policy, has awaited the US re-engagement with the OSI technical community. Thus, there have been numerous issues to address during the past 18 months. Most of our evaluations of a sampling or transport issue necessarily involve computer simulations. This is partly due to the lack of OSI-relevant field data, such as that provided by the NPE, and partly a result of the ability of LLNL computer-based models to test a range of geologic and atmospheric scenarios far beyond what could ever be studied in the field making this approach very highly cost effective. We review some highlights of the transport and sampling issues we have investigated during the past year. We complete the discussion of these issues with a description of a preliminary design for subsurface sampling that is intended to be a practical solution to most if not all the challenges addressed here.

Carrigan, C R; Sun, Y

2011-01-21T23:59:59.000Z

346

Genome-wide assessment of the carriers involved in the cellular uptake of drugs: a model system in yeast.  

E-Print Network (OSTI)

by amplifying their molecular barcodes and hybridizing them to a TAG4 oligonucleotide microarray. Resistant strains will account for an increasing proportion of the total pool in drug-treated compared to untreated conditions, because they are able to outcompete... , therefore, requires knowledge of the interactions between transpor- ters (including genetic variants) and their substrates (pri- marily drugs, nutrients, and endogenous metabolites). Allelic variation data based on the knowledge of these car- riers will feed...

Lanthaler, Karin; Bilsland, Elizabeth; Dobson, Paul D; Moss, Harry J; Pir, Pinar; Kell, Douglas B; Oliver, Stephen G

2011-10-24T23:59:59.000Z

347

Modeling the interactions between poly(n-vinylpyrrolidone) and gas hydrates: factors involved in suppressing and accelerating hydrate growth  

Science Conference Proceedings (OSTI)

Gas hydrates represent both a bane and a potential boon to the oil and gas industry, and considerable research into hydrate formation has been undertaken. We have recently developed a multi-threaded version of a Monte Carlo crystal growth algorithm and ... Keywords: Monte Carlo simulations, PVP, gas hydrates, parallel computing

Brent Wathen; Peter Kwan; Zongchao Jia; Virginia K. Walker

2009-06-01T23:59:59.000Z

348

Defining and Model Checking Abstractions of Complex Railway Models using CSP||B  

E-Print Network (OSTI)

Defining and Model Checking Abstractions of Complex Railway Models using CSP||B Faron Moller1. In [11, 10] we propose a new modelling approach for railway interlockings. We use CSP||B [13], which involves events such as train movements and, in the interlocking, state based reasoning. In this sense, CSP

Doran, Simon J.

349

Socially responsible modeling: a stakeholder approach to the implementation of ethical modeling in operations research  

Science Conference Proceedings (OSTI)

A common dilemma for modelers in operations research (OR) involves how to construct ethically sensitive models. Concern for ethical modeling has recently become more widespread in the OR literature. Arguably, however, this concern has not manifested ... Keywords: Decision making, Ethics, Management science, Operations research, Social performance, Stakeholders

Matthew J. Drake; Virginia W. Gerde; David M. Wasieleski

2011-01-01T23:59:59.000Z

350

Application of Adjoint Sensitivity Theory to an Atmospheric General Circulation Model  

Science Conference Proceedings (OSTI)

Sensitivity studies with climate models usually involve rerunning the model. Since climate models take so much computer time, this approach can be used to calculate sensitivities to only a few parameters. This work demonstrates the use of a much ...

Matthew C. G. Hall

1986-11-01T23:59:59.000Z

351

Dosimetric and Clinical Outcomes of Involved-Field Intensity-Modulated Radiotherapy After Chemotherapy for Early-Stage Hodgkin's Lymphoma With Mediastinal Involvement  

Science Conference Proceedings (OSTI)

Purpose: To evaluate the dosimetric and clinical outcomes of involved-field intensity-modulated radiotherapy (IF-IMRT) for patients with early-stage Hodgkin's lymphoma (HL) with mediastinal involvement. Methods and Materials: Fifty-two patients with early-stage HL that involved the mediastinum were reviewed. Eight patients had Stage I disease, and 44 patients had Stage II disease. Twenty-three patients (44%) presented with a bulky mediastinum, whereas 42 patients (81%) had involvement of both the mediastinum and either cervical or axillary nodes. All patients received combination chemotherapy followed by IF-IMRT. The prescribed radiation dose was 30-40 Gy. The dose-volume histograms of the target volume and critical normal structures were evaluated. Results: The median mean dose to the primary involved regions (planning target volume, PTV1) and boost area (PTV2) was 37.5 Gy and 42.1 Gy, respectively. Only 0.4% and 1.3% of the PTV1 and 0.1% and 0.5% of the PTV2 received less than 90% and 95% of the prescribed dose, indicating excellent PTV coverage. The median mean lung dose and V20 to the lungs were 13.8 Gy and 25.9%, respectively. The 3-year overall survival, local control, and progression-free survival rates were 100%, 97.9%, and 96%, respectively. No Grade 4 or 5 acute or late toxicities were reported. Conclusions: Despite the large target volume, IF-IMRT gave excellent dose coverage and a favorable prognosis, with mild toxicity in patients with early-stage mediastinal HL.

Lu Ningning [Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China)] [Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China); Li Yexiong, E-mail: yexiong@yahoo.com [Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China); Wu Runye; Zhang Ximei; Wang Weihu; Jin Jing; Song Yongwen; Fang Hui; Ren Hua; Wang Shulian; Liu Yueping; Liu Xinfan; Chen Bo; Dai Jianrong; Yu Zihao [Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China)] [Department of Radiation Oncology, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China)

2012-09-01T23:59:59.000Z

352

appg.vp:CorelVentura 7.0  

Gasoline and Diesel Fuel Update (EIA)

1999 1999 (AEO99) are generated with the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analyti- cal studies for the U.S. Congress and other offices within the Department of Energy. The AEO fore- casts are also used by analysts and planners in other government agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the economic competition between the various energy fuels and sources. The time horizon of NEMS is the midterm period, approximately 20 years in the future. In order to represent the regional differences

353

A SUMMARY OF INCIDENTS INVOLVING USAEC SHIPMENTS OF RADIOACTIVE MATERIAL, 1957-1961  

SciTech Connect

Data are summarized on incidents that have been sustained by the AEC in the transport of radioactive materials from 1957 through 1981. In the period covered by this report there were 47 incidents reported. Twenty-nine did not result in the release of radioactive materials. Of the remaining 18 cases there was none that involved any serious radiological consequences or involved costly cleanup. Six of the incidents involved onsite movements of materials. The incidents are classified in accordance with the type of radiation release that occurred, mode of transport, and type of incident. Photographs are included for a number of the incidents. (C.H.)

Patterson, D.E.; DeFatta, V.P.

1963-10-31T23:59:59.000Z

354

Goodness-of-fit tests in semi-linear models  

Science Conference Proceedings (OSTI)

Specification tests for the error distribution are proposed in semi-linear models, including the partial linear model and additive models. The tests utilize an integrated distance involving the empirical characteristic function of properly estimated ... Keywords: Bootstrap test, Empirical characteristic function, Goodness-of-fit test, Semiparametric model, Symmetry test

Simos G. Meintanis; Jochen Einbeck

2012-07-01T23:59:59.000Z

355

GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM | Department  

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

GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM The Department of Energy has on a variety of occasions engaged in transactions under which it bartered uranium to which it has title for goods or services . This guidance memorializes the results of analyses previously directed to individual proposed transactions . For the reasons discussed below, we conclude that the Atomic Energy Act of 1954' , as amended, (AEA), authorizes such barter transactions. GC GUIDANCE ON BARTER TRANSACTIONS INVOLVING DOE-OWNED URANIUM More Documents & Publications Leasing of Department of Energy Property Before the Senate Energy and Natural Resources Subcommittee on Energy EIS-0468: Final Environmental Impact Statement

356

Federal involvement in: municipal wastewater treatment plant sludge energy recovery and conservation  

DOE Green Energy (OSTI)

The results are presented of a study concerning federal involvement in municipal wastewater treatment plant (MWWTP) sludge energy recovery and conservation. The objectives of the study were to: determine and report the major agency programs and related MWWTP sludge energy recovery and conservation projects; determine and summarize the coordination efforts between federal agencies involved in MWWTP sludge; and recommend future U.S. Energy Research and Development Administration (ERDA) involvement in MWWTP sludge energy recovery and conservation projects. Specific federal agencies designated for surveying include ERDA, EPA, USDA, Bureau of Mines, National Science Foundation, and National Commission on Water Quality. Past (post-1966), present, and planned federal involvement in MWWTP sludge energy recovery and conservation, research and development, demonstration, and study projects were considered.

None

1977-06-01T23:59:59.000Z

357

The obligation nation : America's involvement in the affairs of the World  

E-Print Network (OSTI)

Does America have an obligation, whether through foreign aid, military involvement, or by spreading democracy, to change the world? This thesis answers these above questions in intimate detail through the moral framework ...

Francel, Leif (Leif G.)

2012-01-01T23:59:59.000Z

358

Model Validation  

Science Conference Proceedings (OSTI)

...thus establishing appropriate and important benchmarks. Benchmarking can go beyond validation and also measure relative computational speed, accuracy, and breadth for available modeling approaches and implementations, providing valuable information for users to discern the best models and for modelers...

359

CHSH type Bell inequalities involving a party with two or three local binary settings  

E-Print Network (OSTI)

We construct a simple algorithm to generate any CHSH type Bell inequality involving a party with two local binary measurements from two CHSH type inequalities without this party. The algorithm readily generalizes to situations, where the additional observer uses three measurement settings. There, each inequality involving the additional party is constructed from three inequalities with this party excluded. With this generalization at hand, we construct and analyze new symmetric inequalities for four observers and three experimental settings per observer.

Yu-Chun Wu; Piotr Badziag; Marek ?ukowski

2008-10-07T23:59:59.000Z

360

Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model framework  

Science Conference Proceedings (OSTI)

Model-based support of climate policy is scientifically challenging because climate change involves linked physical and social systems that operate on multiple levels: local, national, and international. As a result, models must employ some strongly ... Keywords: Climate policy, Complex systems, Energy-economic modeling, Evolutionary economics, Integrated assessment model, System-of-systems

M. D. Gerst, P. Wang, A. Roventini, G. Fagiolo, G. Dosi, R. B. Howarth, M. E. Borsuk

2013-06-01T23:59:59.000Z

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


361

Modeling & Simulation  

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

Modeling & Simulation Modeling & Simulation Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this...

362

Galactic Models of Gamma-Ray Bursts  

E-Print Network (OSTI)

We describe observational evidence and theoretical calculations which support the high velocity neutron star model of gamma-ray bursts. We estimate the energetic requirements in this model, and discuss possible energy sources. we also consider radiative processes involved in the bursts.

Donald Q. Lamb; Tomasz Bulik; Paolo S. Coppi

1995-08-20T23:59:59.000Z

363

Review: Bayesian networks in environmental modelling  

Science Conference Proceedings (OSTI)

Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind of probabilistic graphical model that has become very popular to practitioners mainly due to the powerful probability theory involved, which makes them able to ... Keywords: Bayesian networks, Environment, Model implementation, Review, Software

P. A. Aguilera; A. Fernández; R. Fernández; R. Rumí; A. Salmerón

2011-12-01T23:59:59.000Z

364

Trichromatic Model of Daylight Variation  

E-Print Network (OSTI)

Visual recognition of colors in outdoor imagery is a difficult task in artificial vision, chiefly because of natural chromatic variation. To accurately predict an object's color, it is necessary to have an accurate model of daylight as a function of spatial, temporal and weather conditions, as well as the object's surface reflectance parameters, and all relevant camera parameters. Preliminary studies indicate that in a scenario involving outdoor robotic vehicles, such color prediction (and consequently, recognition) may be achieved, given reasonably accurate models of all of the above. This paper addresses the first link in the chain of models: building a usable model of daylight. Studies done in the sixties under the International Commission for Illumination Colorometry Committee (ICI/ CIE) to model the shift in natural illumination resulted in fairly accurate models which are still valid, and used as a standard of illumination by daylight. However, these studies are rarely used in ou...

Shashi Buluswar; Bruce Draper

1995-01-01T23:59:59.000Z

365

Superfund accelerated cleanup model  

SciTech Connect

In an effort to speed and maximize cleanup of the worst sites first, the Environmental Protection Agency (EPA) developed the Superfund Accelerated Cleanup Model (SACM). SACM streamlines the Superfund process so hazardous waste sites can be addressed quicker and in a more cost effective manner. EPA Regional offices developed a number of pilot projects to test the principles of SACM. Although many pilots are underway in the Regions, the pilots described here involve four areas: accelerating cleanup through early actions; integrating site assessments; using Regional Decision Teams to establish priorities; and accelerating cleanup through the use of new technology.

Not Available

1994-08-01T23:59:59.000Z

366

Yankee Rowe simulator core model validation  

Science Conference Proceedings (OSTI)

This paper presents the validation of the Yankee Rowe simulator core model. Link-Miles Simulation Corporation is developing the Yankee Rowe simulator and Yankee Atomic Electric Company is involved in input and benchmark data generation, as well as simulator validation. Core model validation by Yankee comprises three tasks: (1) careful generation of fuel reactivity characteristics (B constants); (2) nonintegrated core model testing; and (3) fully integrated core model testing. Simulator core model validation and verification is a multistage process involving input and benchmark data generation as well as interactive debugging. Core characteristics were brought within acceptable criteria by this process. This process was achieved through constant communication between Link-Miles and Yankee engineers. Based on this validation, the Yankee Rowe simulator core model is found to be acceptable for training purposes.

Napolitano, M.E.

1990-01-01T23:59:59.000Z

367

Conflict-of-Interest/Non-Disclosure Certificate For Reviewers Involved in  

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

Conflict-of-Interest/Non-Disclosure Certificate For Reviewers Conflict-of-Interest/Non-Disclosure Certificate For Reviewers Involved in the Selection of Subcontractors for NEUP Research and Development Funds Conflict-of-Interest/Non-Disclosure Certificate For Reviewers Involved in the Selection of Subcontractors for NEUP Research and Development Funds The Department of Energy has a policy that individuals with a conflict of interest cannot participate in the technical review of procurement proposals. This certification must be completed by individuals prior to their participation in the pre-application and/or proposal review processes. 1. I will not participate in the review of any pre-application or proposal involving a particular matter that would have a direct and predictable effect on any person, company or organization with which I have a

368

The Community Environmental Monitoring Program: Reducing Public Perception of Risk through Stakeholder Involvement  

Science Conference Proceedings (OSTI)

The Community Environmental Monitoring Program (CEMP) has promoted stakeholder involvement, awareness, and understanding of radiological surveillance in communities surrounding the Nevada Test Site (NTS) since 1981. It involves stakeholders in the operation, data collection, and dissemination of information obtained from a network of 29 stations across a wide area of Nevada, Utah and California. It is sponsored by the U.S. Department of Energy, National Nuclear Security Administration’s Nevada Site Office (NNSA/NSO) and administered by the Desert Research Institute (DRI) of the Nevada System of Higher Education. Integration of a near real-time communications system, a public web site, training workshops for involved stakeholders, and educational programs all help to alleviate public perception of risk of health effects from past activities conducted at the NTS.

William T. Hartwell

2007-05-21T23:59:59.000Z

369

Proposed Tenaska Washington II Generation Project : Final Environmental Impact Statement. Volume 2: Public Involvement.  

SciTech Connect

In regard to the proposed Tenaska Washington II Generation Project, the goal of the Bonneville Power Administration`s (BPA) Environmental Impact Statement (EIS) public involvement process is to determine the issues to be examined and pertinent analyses to be conducted and to solicit comments on the content and quality of information presented in the Draft Environmental Impact Statement (DEIS). Comments and questions are solicited from the public and government agencies during the scoping process and during the comment period and public hearing on the DEIS, to find out what is of most concern to them. The end product of the public involvement process is the Comment Report which follows in part of this volume on Public Involvement.

United States. Bonneville Power Administration.

1994-01-01T23:59:59.000Z

370

Utility/Industry Partnerships Involving Distributed Generation Technologies in Evolving Electricity Markets  

E-Print Network (OSTI)

Electricity markets in the United States are undergoing unprecedented structural changes as a result of the confluence of regulatory, competitive, and technological forces. This paper will introduce the role of distributed generation technologies in evolving electric markets and will review both current and emerging distributed generation technologies aimed at retail industrial, commercial and residential markets. This paper will draw upon several Electric Power Research Institute’s (EPRI) and member utility case studies involving the assessment of distributed generation in premium power service, standby power and industrial cogeneration applications. In addition, EPRI products and services which can help evaluate energy service options involving distributed generation will also be briefly reviewed.

Rastler, D. M.

1997-04-01T23:59:59.000Z

371

Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory  

Science Conference Proceedings (OSTI)

Land surface models (LSMs) and hydrologic models are parameterized models. The number of involved parameters is often large. Sensitivity analysis (SA) is a key step to understand the complex relationship between state variables and parameters, and ...

Yuning Shi; Kenneth J. Davis; Fuqing Zhang; Christopher J. Duffy

372

MM5 Modeling of the Madden–Julian Oscillation in the Indian and West Pacific Oceans: Model Description and Control Run Results  

Science Conference Proceedings (OSTI)

A new methodology to study the Madden–Julian oscillation (MJO) is introduced. While previous MJO studies typically have involved highly simplified mathematical models or general circulation models, this new approach seeks to reproduce the MJO by ...

William I. Gustafson Jr.; Bryan C. Weare

2004-03-01T23:59:59.000Z

373

Context: Modeling  

Science Conference Proceedings (OSTI)

... Yang, JC; Huber, ML; Boyer, CI; 1995. Modeling of Hydrogen Fluoride Formation From Flame Suppressants During Combustion.. ...

2013-05-03T23:59:59.000Z

374

Modeling Portal  

Science Conference Proceedings (OSTI)

... News And Events. 24th NIST Computer Modeling Workshop. New Quantum Computing Algorithm Could Simulate Giant Particle Accelerators. ...

2011-02-14T23:59:59.000Z

375

The Modification of Joint Size-Charge Distribution in Rain. Part II: Computations Involving Partial Coalescence  

Science Conference Proceedings (OSTI)

Raindrop collisional breakup is included in a model of joint size-charge distribution development. Consistent with experimental observations the model includes a finite filament (joining separating drops) that upon rupture produces charged ...

S. G. Bradley; C. D. Stow

1984-10-01T23:59:59.000Z

376

WORLD MEDICAL ASSOCIATION DECLARATION OF HELSINKI Ethical Principles for Medical Research Involving Human Subjects  

E-Print Network (OSTI)

1 WORLD MEDICAL ASSOCIATION DECLARATION OF HELSINKI Ethical Principles for Medical Research, October 2008 A. INTRODUCTION 1. The World Medical Association (WMA) has developed the Declaration of Helsinki as a statement of ethical principles for medical research involving human subjects, including

Pfeifer, Holger

377

On the theory of energy distributions of products of molecular beam reactions involving transient complexes*  

E-Print Network (OSTI)

On the theory of energy distributions of products of molecular beam reactions involving transient October 1974) Theoretical energy distributions of reaction products in molecular beam systems for the energy distributions of the products when 1 > j and j > l. I. INTRODUCTION In recent years illuminating

Marcus, Rudolph A.

378

Chemical Spills In the event of a spill involving hazardous chemicals  

E-Print Network (OSTI)

Chemical Spills In the event of a spill involving hazardous chemicals: 1. Keep a safe distance from. From a safe distance, try to gather as much information on the spilled chemical as possible. If the chemical name can be found, look up its MSDS and determine the PPE required. If the chemical is very

de Lijser, Peter

379

Water Resource Management and Hydropower: Guidebook for Collaboration and Public Involvement  

Science Conference Proceedings (OSTI)

This Guidebook provides processes and tools to help hydropower operators develop improved communications and "early and often" involvement with stakeholders. These processes can help identify and activate public support for hydro and ultimately avoid unnecessary loss of hydro generation and other limitations on hydro during relicensing.

1996-12-12T23:59:59.000Z

380

Parabolic equation solution of seismo-acoustics problems involving variations in bathymetry and sediment thickness  

E-Print Network (OSTI)

Parabolic equation solution of seismo-acoustics problems involving variations in bathymetry September 2007; accepted 27 September 2007 Recent improvements in the parabolic equation method are combined to extend this approach to a larger class of seismo-acoustics problems. The variable rotated parabolic

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


381

Emergency Action Plan For incidents involving hazardous materials, fires, explosions, or natural gas  

E-Print Network (OSTI)

-492-6025. For Non-Emergency Fire and Natural Gas Questions call the CU Fire Marshall @ 303-492-4042. AdditionalEmergency Action Plan For incidents involving hazardous materials, fires, explosions, or natural gas leaks, the following actions should be taken: 1) Life Safety First 2) Evacuate Immediate Area 3

Colorado at Boulder, University of

382

The potential of plug-in hybrid electric vehicles to reduce petroleum use issues involved in developing reliable estimates.  

DOE Green Energy (OSTI)

This paper delineates the various issues involved in developing reliable estimates of the petroleum use reduction that would result from the wide-spread introduction of plug-in hybrid electric vehicles (PHEVs). Travel day data from the 2001 National Household Travel Survey (NHTS) were analyzed to identify the share of vehicle miles of travel (VMT) that could be transferred to grid electricity. Various PHEV charge-depleting (CD) ranges were evaluated, and 100% CD mode and potential blended modes were analyzed. The NHTS data were also examined to evaluate the potential for PHEV battery charging multiple times a day. Data from the 2005 American Housing Survey (AHS) were analyzed to evaluate the availability of garages and carports for at-home charging of the PHEV battery. The AHS data were also reviewed by census region and household location within or outside metropolitan statistical areas. To illustrate the lag times involved, the historical new vehicle market share increases for the diesel power train in France (a highly successful case) and the emerging hybrid electric vehicles in the United States were examined. A new vehicle technology substitution model is applied to illustrate a historically plausible successful new PHEV market share expansion. The trends in U.S. light-duty vehicle sales and light-duty vehicle stock were evaluated to estimate the time required for hypothetical successful new PHEVs to achieve the ultimately attainable share of the existing vehicle stock. Only when such steps have been accomplished will the full oil savings potential for the nation be achieved.

Vyas, A. D.; Santini, D. J.; Johnson, L. R.; Energy Systems

2009-01-01T23:59:59.000Z

383

Conceptual Modeling of Data Intensive and Information Intensive Web Applications  

Science Conference Proceedings (OSTI)

Online services can be difficult to conceive and to managedue to their inherent complexity, involving many subjectswith distinct goals (user, managers, public and privateagencies, ...), often regulated by complex norms andprocedures; moreover, they are ... Keywords: Web Site modeling and Design, e-Government, Data Model,Conceptual modeling

Mario Bochicchio; Antonella Longo

2004-01-01T23:59:59.000Z

384

Exploring Versus Exploiting when Learning User Models for Text Recommendation  

Science Conference Proceedings (OSTI)

The text recommendation task involves delivering sets of documents to users on the basis of user models. These models are improved over time, given feedback on the delivered documents. When selecting documents to recommend, a system faces an instance ... Keywords: Information filtering, Machine learning, Recommender systems, Relevance feedback, Selective Dissemination of Information, User modeling, adaptive information retrieval.

Marko Balabanovi?

1998-01-01T23:59:59.000Z

385

A model for spatio-temporal network planning  

Science Conference Proceedings (OSTI)

Temporal GIS research has tended to focus on representing a single history through a series of states. For planning future work involving alternative scenarios a branching model of time may be required, however for large systems such models soon become ... Keywords: Decision support, Temporal model, Topology

Ed Nash; Phil James; David Parker

2005-03-01T23:59:59.000Z

386

Automatic Building of Structured Geological Models Sylvain Brandel1  

E-Print Network (OSTI)

geological models used for oil and gas exploration. We present a prototype of a "geological pilot" which Modeling for oil and gas exploration Hydrocarbon reservoir models are a major tool currently used involved in oil and gas exploration have acquired a huge amount of seismic data, which are neither

Brandel, Sylvain

387

Probability of mediastinal involvement in non-small-cell lung cancer: a statistical definition of the clinical target volume for 3-dimensional conformal radiotherapy?  

Science Conference Proceedings (OSTI)

Purpose: Conformal irradiation (3D-CRT) of non-small-cell lung carcinoma (NSCLC) is largely based on precise definition of the nodal clinical target volume (CTVn). A reduction of the number of nodal stations to be irradiated would facilitate tumor dose escalation. The aim of this study was to design a mathematical tool based on documented data to predict the risk of metastatic involvement for each nodal station. Methods and Materials: We reviewed the large surgical series published in the literature to identify the main pretreatment parameters that modify the risk of nodal invasion. The probability of involvement for the 17 nodal stations described by the American Thoracic Society (ATS) was computed from all these publications. Starting with the primary site of the tumor as the main characteristic, we built a probabilistic tree for each nodal station representing the risk distribution as a function of each tumor feature. Statistical analysis used the inversion of probability trees method described by Weinstein and Feinberg. Validation of the software based on 134 patients from two different populations was performed by receiver operator characteristic (ROC) curves and multivariate logistic regression. Results: Analysis of all of the various parameters of pretreatment staging relative to each level of the ATS map results in 20,000 different combinations. The first parameters included in the tree, depending on tumor site, were histologic classification, metastatic stage, nodal stage weighted as a function of the sensitivity and specificity of the diagnostic examination used (positron emission tomography scan, computed tomography scan), and tumor stage. Software is proposed to compute a predicted probability of involvement of each nodal station for any given clinical presentation. Double cross validation confirmed the methodology. A 10% cutoff point was calculated from ROC and logistic model giving the best prediction of mediastinal lymph node involvement. Conclusion: To more accurately define the CTVn in NSCLC three-dimensional conformal radiotherapy, we propose a software that evaluates the risk of mediastinal lymph node involvement from easily accessible individual pretreatment parameters.

Giraud, Philippe [Department of Radiation Oncology, Institut Curie, Paris (France) and Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY (United States)]. E-mail: philippe.giraud@curie.net; De Rycke, Yann [Department of Biostatistics, Institut Curie, Paris (France); Lavole, Armelle [Department of Radiation Oncology, Institut Curie, Paris (France); Department of Respiratory Medicine, Tenon Hospital, Paris (France); Milleron, Bernard [Department of Respiratory Medicine, Tenon Hospital, Paris (France); Cosset, Jean-Marc [Department of Radiation Oncology, Institut Curie, Paris (France); Rosenzweig, Kenneth E. [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY (United States)

2006-01-01T23:59:59.000Z

388

Ecotoxicological effects extrapolation models  

SciTech Connect

One of the central problems of ecological risk assessment is modeling the relationship between test endpoints (numerical summaries of the results of toxicity tests) and assessment endpoints (formal expressions of the properties of the environment that are to be protected). For example, one may wish to estimate the reduction in species richness of fishes in a stream reach exposed to an effluent and have only a fathead minnow 96 hr LC50 as an effects metric. The problem is to extrapolate from what is known (the fathead minnow LC50) to what matters to the decision maker, the loss of fish species. Models used for this purpose may be termed Effects Extrapolation Models (EEMs) or Activity-Activity Relationships (AARs), by analogy to Structure-Activity Relationships (SARs). These models have been previously reviewed in Ch. 7 and 9 of and by an OECD workshop. This paper updates those reviews and attempts to further clarify the issues involved in the development and use of EEMs. Although there is some overlap, this paper does not repeat those reviews and the reader is referred to the previous reviews for a more complete historical perspective, and for treatment of additional extrapolation issues.

Suter, G.W. II

1996-09-01T23:59:59.000Z

389

EIA-Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2007 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015 and resource assumptions through 2030. The GWOB model provides annual country level oil production detail for eight conventional and unconventional oils.

390

Impacts of Unconventional Gas Technology in the Annual Energy Outlook 2000  

Reports and Publications (EIA)

This paper describes the methodology used in the National Energy Modeling System (NEMS) to represent unconventional gas technologies and their impacts on projections in the Annual EnergyOutlook 2000 (AEO2000).

Information Center

2000-11-01T23:59:59.000Z

391

Renewable Fuels Module  

Reports and Publications (EIA)

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

Chris Namovicz

2013-07-03T23:59:59.000Z

392

Fuel Cell Technologies Office: DOE Hydrogen Transition Analysis...  

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

Inc. Overview of NEMS-H2, Version 1.0 (PDF 294 KB), Frances Wood, OnLocation, Inc. Agent-Based Modeling and Simulation for Hydrogen Transition Analysis (PDF 515 KB),...

393

A comparison of the usability of performing ad hoc querying on dimensionally modeled data versus operationally modeled data  

Science Conference Proceedings (OSTI)

To study the usability of dimensionally modeled data (DMD), we conducted an experiment involving 113 participants to analyze their performance in ad hoc querying tasks. The results show that DMD's usability is high according to both objective and subjective ... Keywords: Business intelligence, Data models, Dimensionally modeled data, Learnability, Usability

DušAn VujošEvi?; Ivana Kova?Evi?; Milija Suknovi?; Nenad Lali?

2012-12-01T23:59:59.000Z

394

On the asymptotic stabilization of an uncertain bioprocess model  

Science Conference Proceedings (OSTI)

We study a nonlinear model of a biological digestion process, involving two microbial populations and two substrates and producing biogas (methane). A feedback control law for asymptotic stabilization of the closed-loop system is proposed. An extremum ...

Neli S. Dimitrova; Mikhail I. Krastanov

2011-07-01T23:59:59.000Z

395

Cirrus Clouds. Part I: A Cirrus Cloud Model  

Science Conference Proceedings (OSTI)

A two-dimensional (x, z), time-dependent, numerical cloud model is developed for the purpose of investigating the role of various physical processes involved in the maintenance of cirriform clouds. In addition to accounting for dynamic and ...

David O'C. Starr; Stephen K. Cox

1985-12-01T23:59:59.000Z

396

Two new approaches for learning Hidden Markov Models  

E-Print Network (OSTI)

Hidden Markov Models (HMMs) are ubiquitously used in applications such as speech recognition and gene prediction that involve inferring latent variables given observations. For the past few decades, the predominant technique ...

Kim, Hyun Soo, M. Eng. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

397

Phenomenological models in biological physics : cell growth and pluripotency maintenance  

E-Print Network (OSTI)

A persistent challenge in quantitatively modeling a biological system is that the system often involves many components and just as dizzying number of interactions among those components. To further complicate matters, the ...

Youk, Hyun

2010-01-01T23:59:59.000Z

398

A Compositional Mathematical Model of Machines Transporting Rigid Objects  

Science Conference Proceedings (OSTI)

We present models of various elements of a plant that involves the transportation of lumped material. An application context is provided by a project on diagnosing disturbances in food packaging plants and, more specifically, bottling plants. While there ...

Peter Struss; Axel Kather; Dominik Schneider; Tobias Voigt

2008-06-01T23:59:59.000Z

399

A framework for multi-resolution modeling of sustainable manufacturing  

Science Conference Proceedings (OSTI)

This paper proposes a multi-resolution framework for application of system dynamics modeling to sustainable manufacturing. Sustainable manufacturing involves interaction of four complex systems namely manufacturing, environmental, financial, and social ...

Sanjay Jain; Deogratias Kibira

2010-12-01T23:59:59.000Z

400

Low Dose Radiation Research Program: A Model for Interphase Chromosome...  

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

the 46 interphase chromosomes is modeled as a random polymer involving 30 nm zig-zag chromatin fiber confined within a sphere whose radius is dependent upon the chromosome length...

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


401

The Darboux Transformation and Exactly Solvable Cosmological Models  

E-Print Network (OSTI)

We present a simple and effective method for constructing exactly solvable cosmological models containing inflation with exit. This method does not involve any parameter fitting. We discuss the problems arising with solutions that violate the weak energy condition.

A. V. Yurov; S. D. Vereshchagin

2005-02-10T23:59:59.000Z

402

Oceanic Data Analysis Using a General Circulation Model. Part I: Simulations  

Science Conference Proceedings (OSTI)

This paper deals with the solution of inverse problems involving complex numerical models of the oceanic general circulation and large datasets. The goal of these inverse problems is to find values for model inputs consistent with a steady ...

Eli Tziperman; William Carlisle Thacker; Robert Bryan Long; Show-Ming Hwang

1992-12-01T23:59:59.000Z

403

Numerical Model Simulations of a Mesoscale Gravity Wave Event: Sensitivity Tests and Spectral Analyses  

Science Conference Proceedings (OSTI)

This study presents numerical model experiments and spectral investigations involving a mesoscale gravity wave event. Its purposes are to determine the sensitivity of mesoscale gravity wave simulation to model configuration and physics and to ...

Jordan G. Powers

1997-08-01T23:59:59.000Z

404

Melting of Snow Cover in a Tropical Mountain Environment in Bolivia: Processes and Modeling  

Science Conference Proceedings (OSTI)

To determine the physical processes involved in the melting and disappearance of transient snow cover in nonglacierized tropical areas, the CROCUS snow model, interactions between Soil–Biosphere–Atmosphere (ISBA) land surface model, and coupled ...

Yves Lejeune; Ludovic Bouilloud; Pierre Etchevers; Patrick Wagnon; Pierre Chevallier; Jean-Emmanuel Sicart; Eric Martin; Florence Habets

2007-08-01T23:59:59.000Z

405

Cirrus Parcel Model Comparison Project. Phase 1: The Critical Components to Simulate Cirrus Initiation Explicitly  

Science Conference Proceedings (OSTI)

The Cirrus Parcel Model Comparison Project, a project of the GCSS [Global Energy and Water Cycle Experiment (GEWEX) Cloud System Studies] Working Group on Cirrus Cloud Systems, involves the systematic comparison of current models of ice crystal ...

Ruei-Fong Lin; David O'C. Starr; Paul J. DeMott; Richard Cotton; Kenneth Sassen; Eric Jensen; Bernd Kärcher; Xiaohong Liu

2002-08-01T23:59:59.000Z

406

Comparison of Structure Parameter Scaling Expressions with Turbulence Closure Model Predictions  

Science Conference Proceedings (OSTI)

The convective boundary-layer scaling expressions presented by Wyngaard and LeMone (1980) are compared with predictions from a turbulence closure model. We first examine a model experiment involving a clear-air, convectively driven boundary layer ...

Stephen D. Burk

1981-04-01T23:59:59.000Z

407

A Vertically Nested Regional Numerical Weather Prediction Model with Second-Order Closure Physics  

Science Conference Proceedings (OSTI)

The model we describe involves a unique strategy in which a high vertical resolution grid is nested within the coarse vertical resolution grid of a regional numerical weather prediction (NWP) model. Physics computations performed on the high ...

Stephen D. Burk; William T. Thompson

1989-11-01T23:59:59.000Z

408

The Savannah River Site's liquid radioactive waste operations involves the man  

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

Site's liquid radioactive waste operations involves the management of space in the Site's Site's liquid radioactive waste operations involves the management of space in the Site's 49 underground waste tanks, including the removal of waste materials. Once water is removed from the waste tanks, two materials remain: salt and sludge waste. Removing salt waste, which fills approximately 90 percent of the tank space in the SRS tank farms, is a major step toward closing the Site's waste tanks that currently contain approximately 38 million gallons of waste. Due to the limited amount of tank space available in new-style tanks, some salt waste must be dispositioned in the interim to ensure sufficient tank space for continued sludge washing and to support the initial start-up and salt processing operations at the Salt Waste Processing Facility (SWPF).

409

The Department of Energy (DOE) is actively involved in leading the  

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

(DOE) is actively involved in leading the (DOE) is actively involved in leading the development of advanced applications and tools to more effectively operate the electricity delivery system by enabling advanced analysis, visualization, monitoring and alarming, and decision support capabilities for grid operators. These applications use-and greatly increase the value of-data coming from high-resolution electrical measuring devices known as phasor measurement units (PMUs), whose deployment is being facilitated by the North American SynchroPhasor Initiative. The advanced applications research and development activities of DOE and its industry partners are a key component of the success of American Recovery and Reinvestment Act (ARRA) programs. By the time the ARRA projects are completed in 2014, several of these applications are expected to be fully

410

Report on electrocutions, electric shock, and electric burn injuries involving consumer products. final report  

SciTech Connect

This report provides direction to a project to reduce the number of electrocution, electric shock and electric burn injuries. The first section uses CPSC data to rank the consumer products involved in these accidents on the basis of frequency, severity, and number of products in use. It also analyzes demographic and accident characteristics. The second section contains a technical review of accidents occurring in eight product groups: Portable Power Tools; Welders, Battery Chargers and Inverters; Personal Hygiene Products; Entertainment Products; Lawn and Garden Tools; Installed Stoves, Ranges and Cook Tops; Refrigerators and Freezers; and Fans. This section also includes a review of the relevant Underwriters Laboratories (UL) standards and suggestions for potential action to reduce the accidents involving these eight product groups.

Not Available

1984-09-01T23:59:59.000Z

411

Mitigation of Human Operational Errors Involving Control, Relay, and Auxiliary Equipment  

Science Conference Proceedings (OSTI)

This report describes the objectives and current status of a research effort related to human operational errors involving control, relay, and auxiliary equipment. This research is conducted by the Switching Safety and Reliability Project of EPRI's Substations Program. The report describes the data collection process for three ongoing studies on the above-named subject, and preliminary findings based on data collected from participating utilities by the end of November 2005. The project is expected to be...

2005-12-23T23:59:59.000Z

412

Parametric completely generalized mixed implicit quasi-variational inclusions involving h-maximal monotone mappings  

Science Conference Proceedings (OSTI)

A new class of parametric completely generalized mixed implicit quasi-variational inclusions involving h-maximal monotone mappings is introduced. By applying resolvent operator technique of h-maximal monotone mapping and the property of fixed point set ... Keywords: 47H05, 47J20, 47J25, 49J40, 49J53, Parametric completely generalized mixed implicit quasi-variational inclusion, Resolvent operator, Sensitivity analysis, h-maximal monotone mapping

Xie Ping Ding

2005-10-01T23:59:59.000Z

413

A supersymmetric model for graphene  

E-Print Network (OSTI)

In this work, we focus on the fermionic structure of the low-energy excitations of graphene (a monolayer of carbon atoms) to propose a new supersymmetric field-theoretic model for this physical system. In the current literature, other proposals for describing graphene physics have been contemplated at the level of supersymmetric quantum mechanics. Also, by observing the inhomogeneities between neighbor carbon atoms, Jackiw et al. have set up an interesting chiral Abelian gauge theory. We show in this paper that our formulation encompasses models discussed previously as sectors of an actually richer (supersymmetric) planar gauge model. Possible interpretations for the fields involved in the present graphene model are proposed and the question of supersymmetry breaking is discussed.

Everton M. C. Abreu; Marco A. De Andrade; Leonardo P. G. de Assis; Jose A. Helayel-Neto; A. L. M. A. Nogueira; Ricardo C. Paschoal

2010-02-12T23:59:59.000Z

414

Bringing Alaska North Slope Natural Gas to Market (released in AEO2009)  

Reports and Publications (EIA)

At least three alternatives have been proposed over the years for bringing sizable volumes of natural gas from Alaskas remote North Slope to market in the lower 48 States: a pipeline interconnecting with the existing pipeline system in central Alberta, Canada; a GTL plant on the North Slope; and a large LNG export facility at Valdez, Alaska. NEMS explicitly models the pipeline and GTL options [63]. The what if LNG option is not modeled in NEMS.

Information Center

2009-03-31T23:59:59.000Z

415

Numerical Modeling  

Science Conference Proceedings (OSTI)

Feb 28, 2011... or field repair, durability, weight and cost efficiency, and extreme climate. ... Cohesive zone model is implemented to investigate the interfacial ...

416

PREDICTIVE MODELS  

Science Conference Proceedings (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

1988-10-01T23:59:59.000Z

417

Stakeholder involvement and public outreach at two Department of Energy sites  

Science Conference Proceedings (OSTI)

Outreach efforts at two U.S. Department of Energy sites (i.e., the Hanford Site in southeastern Washington and Pantex Plant in the Texas panhandle) have involved a broad spectrum of communications media, including technical presentations and articles, information brochures and fact sheets, video productions; interactive exhibits; presentations at civic and other public meetings; and proactive interactions with the news media, regulators and concerned citizens. In addition, representatives of local communities operate offsite environmental monitoring stations and Native Americans are involved in studying cultural resources, fisheries, and other issues at Hanford, and a program to obtain environmental samples from neighbors property is underway at Pantex. All major environmental programs (e.g., the reconstruction of past radiological doses to offsite human populations at Hanford) are conducted with open public participation, the Pantex Plant has opened an Information office in Amarillo, Texas, and both sites now have Citizen`s Advisory Boards. This presentation describes Hanford and Pantex public outreach and involvement efforts, our successes and failures, and the lessons learned.

Gray, R.H. [Battelle Pantex, Amarillo, TX (United States)

1996-06-01T23:59:59.000Z

418

A review of two recent occurrences at the Advanced Test Reactor involving subcontractor activities  

Science Conference Proceedings (OSTI)

This report documents the results of a brief, unofficial investigation into two incidents at the Idaho National Engineering and Environmental Laboratory (INEEL) Advanced Test Reactor (ATR) facility, reported on October 25 and 31, 1997. The first event was an unanticipated breach of confinement. The second involved reactor operation with an inoperable seismic scram subsystem, violating the reactor`s Technical Specifications. These two incidents have been found to be unrelated. A third event that occurred on December 16, 1996, is also discussed because of its similarities to the first event listed above. Both of these incidents were unanticipated breaches of confinement, and both involved the work of construction subcontractor personnel. The cause for the subcontractor related occurrences is a work control process that fails to effectively interface with LMITCO management. ATR Construction Project managers work sufficient close with construction subcontractor personnel to understand planned day-to-day activities. They also have sufficient training and understanding of reactor operations to ensure adherence to applicable administrative requirements. However, they may not be sufficiently involved in the work authorization and control process to bridge an apparent communications gap between subcontractor employees and Facility Operations/functional support personnel for work inside the reactor facility. The cause for the inoperable seismic scram switch (resulting from a disconnected lead) is still under investigation. It does not appear to be subcontractor related.

Dahlke, H.J.; Jensen, N.C.; Vail, J.A.

1997-11-01T23:59:59.000Z

419

Using best available scientific information in assessing the involvement of energy industries at Superfund sites  

SciTech Connect

The US Congress is currently reauthorizing the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA or Superfund). Enacted in 1980, CERCLA has been criticized for its costly and time-consuming requirements, unfairness, need for better scientific information, and lack of progress in reducing health and environmental risks. This paper describes the development of a database of energy-industry involvement at Superfund sites, using the best available scientific information. It illustrates the difficulties in reporting, compiling, and assessing data as currently managed under CERCLA. It also presents analytical results, indicating the number of sites at which there has been energy-industry involvement (roughly one-fourth to one-third of all Superfund sites), and for these sites, the numbers of energy companies that are potentially responsible parties (about 500 individual companies), the estimated cleanup costs (an average of $18 million per site), and the volumetric shares of hazardous waste contributed by energy companies (up to one-third of the volume at sites with energy-industry involvement). Such results provide a basis for evaluating impacts of Superfund changes on energy companies.

Elcock, D.; Puder, M.

1994-09-01T23:59:59.000Z

420

Combining Modeling and Gaming for Predictive Analytics  

SciTech Connect

Many of our most significant challenges involve people. While human behavior has long been studied, there are recent advances in computational modeling of human behavior. With advances in computational capabilities come increases in the volume and complexity of data that humans must understand in order to make sense of and capitalize on these modeling advances. Ultimately, models represent an encapsulation of human knowledge. One inherent challenge in modeling is efficient and accurate transfer of knowledge from humans to models, and subsequent retrieval. The simulated real-world environment of games presents one avenue for these knowledge transfers. In this paper we describe our approach of combining modeling and gaming disciplines to develop predictive capabilities, using formal models to inform game development, and using games to provide data for modeling.

Riensche, Roderick M.; Whitney, Paul D.

2012-08-22T23:59:59.000Z

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


421

Kinetic Modeling of Esterification of Ethylene Glycol with Acetic Acid  

SciTech Connect

The reaction kinetics of the esterification of ethylene glycol with acetic acid in the presence of cation exchange resin has been studied and kinetic models based on empirical and Langmuir approach has been developed. The Langmuir based model involving eight kinetic parameters fits experimental data much better compared to empirical model involving four kinetic parameters. The effect of temperature and catalyst loading on the reaction system has been analyzed. Further, the activation energy and frequency factor of the rate constants for Langmuir based model has been estimated.

Yadav, Vishnu P.; Maity, Sunil K. [Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, Ordnance Factory Estate, Yeddumailiram-502205, Andhra Pradesh (India); Mukherjee, Rudra Palash [Department of Chemical Engineering, National Institute of Technology, Durgapur, Mahatma Gandhi Avenue, Durgapur-713209, West Bengal (India); Bantraj, Kandi [Department of Chemical Engineering, National Institute of Technology, Rourkela-769008, Orissa (India)

2010-10-26T23:59:59.000Z

422

ISDAC Modeling  

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

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

423

Biosystems Modeling  

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

Biosystems Modeling Biosystems Modeling Phantoms We are a leader nationally and internationally in the development of models and methods for predicting the behavior of radionuclides and chemicals in the body, assessing the health effects of environmental hazards, and determining the exposure-dose relationships for environmental pollutants. Our work has been a key resource to the medical community in providing the basis for dose estimates in nuclear medicine. Our tools and skills are also applicable to the areas of occupational health and safety, public health and safety, radiation protection, environmental dosimetry, and battlefield effects. Our technology base includes mathematical modeling, bone dosimetry, phantom development, and neutron dosimetry. Please direct any questions concerning the Biosystems Modeling Group to:

424

Games, Risks, and Analytics: Several Illustrative Cases Involving National Security and Management Situations  

Science Conference Proceedings (OSTI)

This paper presents and compares four models of games and risk analyses designed to support strategic and policy decisions, three focusing on national security issues and one on project management. They share a common core of probability, linked decisions ... Keywords: analytics, counterterrorism, failure probability, game analysis, national security, nuclear proliferation, practice, principal--agent model, risk analysis

M. Elisabeth Paté-Cornell

2012-06-01T23:59:59.000Z

425

Hot Water Distribution System Model Enhancements  

Science Conference Proceedings (OSTI)

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

Hoeschele, M.; Weitzel, E.

2012-11-01T23:59:59.000Z

426

Models in Decision Analysis  

E-Print Network (OSTI)

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

Simon French

1993-01-01T23:59:59.000Z

427

Modeling for Integrating Science and Management  

SciTech Connect

Modeling relationships between land-management practices and resulting changes in carbon, nitrogen, albedo, and other factors is complex. Even so, such modeling can be used to integrate scientific knowledge and provide a bridge between scientific understanding and policy. Yet, too often decision makers have a poor understanding of the underlying models and thus may misinterpret the implications. More often, decision makers diminish model results as fictitious, for they do not recognize the validity or extent of the underlying science. Decision makers should understand that the modeling process (1) involves formalizing hypotheses concerning relationships among components of human, biophysical, and ecological systems and (2) fosters exploration of implications of those hypotheses. To be most helpful for decision making, developing a model requires documentation of the model components and implications including all assumptions, input and output variables, and methods used to calibrate and validate the model as well as to identify sensitivities and uncertainties. There is no one modeling approach that meets the diverse needs of decision makers regarding land and carbon issues. As with all scientific explorations, new learning typically results in improved understanding, new questions, and revised hypotheses about the way the system works. Decision makers need to realize that models cannot provide specific predictions any more than models are to be believed. Instead, modeling enhances understanding of a system by requiring a formal statement of what is known and not known. The advantages and cautionary principles involved in using models for decision making are discussed. Because land change is a local or regional process and many questions about the effect of these changes are at the global scale, there are still gaps in modeling land change and its effects. The chapter concludes with opportunities to improve modeling of land change and the carbon cycle so that the scientific understanding and information on these issues is presented in a way that is more useful to decision makers.

Dale, Virginia H [ORNL; Kline, Keith L [ORNL

2013-01-01T23:59:59.000Z

428

US Department of Energy Oak Ridge Operations Environmental Management Public Involvement Plan for the Oak Ridge Reservation  

SciTech Connect

This document was prepared in accordance with CERCLA requirements for writing community relations plans. It includes information on how the DOE Oak Ridge Operations Office prepares and executes Environmental Management Community relations activities. It is divided into three sections: the public involvement plan, public involvement in Oak Ridge, and public involvement in 1995. Four appendices are also included: environmental management in Oak Ridge; community and regional overview; key laws, agreements, and policy; and principal contacts.

1996-03-01T23:59:59.000Z

429

LOFAR-UK White Paper: A Science case for UK involvement in LOFAR  

E-Print Network (OSTI)

LOFAR, the Low-Frequency Array, is a next-generation software-driven radio telescope operating between 30 and 240MHz, currently under construction by ASTRON in the Netherlands. This low frequency radio band is one of the few largely unexplored regions of the electromagnetic spectrum. The sensitivity and angular resolution offered by LOFAR will be two to three orders of magnitude better than existing telescopes, and as such it will open up this new window on the Universe. LOFAR will impact on a broad range of astrophysics, from cosmology to solar system studies. There is growing European involvement in LOFAR, driven by the need to add stations far from the main core in order to improve angular resolution. LOFAR-UK is a project aimed at cementing UK participation in LOFAR via the operation of four stations within the UK. LOFAR-UK ground stations will allow LOFAR observations to reach sub-arcsecond scales at the highest frequencies, and as a result will also improve the (confusion-limited) sensitivity limit of the telescope for deep surveys. LOFAR-UK will achieve involvement for UK astronomers in a world-leading science facility operating in the immediate future. It will allow the UK to build up important scientific and technical expertise in `next generation' radio astronomy in preparation for the Square Kilometre Array (SKA), and will play an important role in broadening the UK community that has an interest in radio astronomy. This White Paper outlines the strategic importance to the UK astronomy community of gaining involvement in the LOFAR project, the scientific interests of UK researchers in using the telescope, and the technical challenges that will need to be overcome [abridged].

P. N. Best; the LOFAR-UK Consortium

2008-02-08T23:59:59.000Z

430

Report on a workshop on transportation-accident scenarios involving spent fuel  

SciTech Connect

Much confusion and skepticism resulted from the scenarios for transportation accidents involving spent fuel that have been presented in environmental impact statements because the supporting assumptions and conclusions from the scenarios did not always appear to be consistent. As a result, the Transportation Technology Center gathered a group whose participants were experts in disciplines related to the transport of spent fuel to consider the scenarios. The group made a number of recommendations about scenario development and about areas in need of further study. This report documents the discussions held and the recommendations and conclusions of the group.

Wilmot, E.L.; McClure, J.D.; Luna, R.E.

1981-02-01T23:59:59.000Z

431

Deformable human body model development  

SciTech Connect

This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). A Deformable Human Body Model (DHBM) capable of simulating a wide variety of deformation interactions between man and his environment has been developed. The model was intended to have applications in automobile safety analysis, soldier survivability studies and assistive technology development for the disabled. To date, we have demonstrated the utility of the DHBM in automobile safety analysis and are currently engaged in discussions with the U.S. military involving two additional applications. More specifically, the DHBM has been incorporated into a Virtual Safety Lab (VSL) for automobile design under contract to General Motors Corporation. Furthermore, we have won $1.8M in funding from the U.S. Army Medical Research and Material Command for development of a noninvasive intracranial pressure measurement system. The proposed research makes use of the detailed head model that is a component of the DHBM; the project duration is three years. In addition, we have been contacted by the Air Force Armstrong Aerospace Medical Research Laboratory concerning possible use of the DHBM in analyzing the loads and injury potential to pilots upon ejection from military aircraft. Current discussions with Armstrong involve possible LANL participation in a comparison between DHBM and the Air Force Articulated Total Body (ATB) model that is the current military standard.

Wray, W.O.; Aida, T.

1998-11-01T23:59:59.000Z

432

Climate Models from the Joint Global Change Research Institute  

DOE Data Explorer (OSTI)

•\tEPIC - (aka WinEPIC) The Environmental Policy Integrated Climate (EPIC) Model is a process-based agricultural systems model composed of simulation components for weather, hydrology, nutrient cycling, pesticide fate, tillage, crop growth, soil erosion, crop and soil management and economics. Staff at PNNL have been involved in the development of this model by integrating new sub-models for soil carbon dynamics and nitrogen cycling.

433

A Survey of Statistical Network Models  

Science Conference Proceedings (OSTI)

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve ...

Anna Goldenberg; Alice X. Zheng; Stephen E. Fienberg; Edoardo M. Airoldi

2010-02-01T23:59:59.000Z

434

Comparing cost prediction models by resampling techniques  

Science Conference Proceedings (OSTI)

The accurate software cost prediction is a research topic that has attracted much of the interest of the software engineering community during the latest decades. A large part of the research efforts involves the development of statistical models based ... Keywords: Accuracy measure, Bootstrap, Confidence interval, Permutation test, Software cost estimation

Nikolaos Mittas; Lefteris Angelis

2008-05-01T23:59:59.000Z

435

A compressible flow model with capillary effects  

Science Conference Proceedings (OSTI)

A quasi-conservative formulation for compressible flows with interfaces including both capillary and viscous effects is developed. The model involves: (i) acoustic and convective transport; (ii) surface tension effects introduced as an extension of the ... Keywords: break-up, coalescence, compressibility, conservative formulation, interface capturing, mixture thermodynamics, surface tension, two-phase flows, viscosity

Guillaume Perigaud; Richard Saurel

2005-10-01T23:59:59.000Z

436

Learning stateful models for network honeypots  

Science Conference Proceedings (OSTI)

Attacks like call fraud and identity theft often involve sophisticated stateful attack patterns which, on top of normal communication, try to harm systems on a higher semantic level than usual attack scenarios. To detect these kind of threats via specially ... Keywords: clustering, honeypots, markov models, non-negative matrix factorization, state machine inference

Tammo Krueger; Hugo Gascon; Nicole Krämer; Konrad Rieck

2012-10-01T23:59:59.000Z

437

Modelling I  

Science Conference Proceedings (OSTI)

Mar 15, 2012 ... Current Distribution and Lorentz Field Modelling Using Cathode Designs: A ... The electrical conductivity of the cathode-block and the collector bar is so ... load, creating a very uneven current distribution within the cathode.

438

PGMA Model  

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

PGMA Model PGMA Model PM-G1-F1-012802.doc Revised January 28, 2002 Page 1 The PGMA (Policy, Guidance, Metrics, Assessments) was originally conceived as a model to provide the framework for developing the components for DOE Information Technology (IT) related policies. Its specific purpose is to drive the development of the four components and ensure a corresponding element within each component. The model components are: POLICY C A concise statement supporting the Department=s needs for quality business solutions. C Link to existing IT policy statements without redundancy. GUIDANCE C Documentation, templates, references, checklists, training, (using Web and other means) to provide implementation mechanisms and techniques for policy adherence.

439

Batteries - Modeling  

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

Battery Modeling Over the last few decades, a broad range of battery technologies have been examined at Argonne for transportation applications. Today the focus is on lithium-ion...

440

PREDICTIVE MODELS  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

1986-12-01T23:59:59.000Z

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


441

JEDI Models | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » JEDI Models Jump to: navigation, search The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation at the local and state levels.[1] Based on project-specific or default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area that could reasonably be supported by a power generation project. For example, JEDI estimates the number of in-state construction jobs from a new wind farm.[2] You can learn more about the JEDI model for wind and find reports based on

442

Isomorph-free model enumeration: a new method for checking relational specifications  

Science Conference Proceedings (OSTI)

Software specifications often involve data structures with huge numbers of value, and consequently they cannot be checked using standard state exploration or model-checking techniques. Data structures can be expressed with binary relations, and operations ... Keywords: formal specification, model checking, model finding, object models, pruning, relational calculus, relational specifications, symmetry

Daniel Jackson; Somesh Jha; Craig A. Damon

1998-03-01T23:59:59.000Z

443

Hydrodynamic models for slurry bubble column reactors. Fifth technical progress report  

DOE Green Energy (OSTI)

The objective of this work is to convert our `learning gas-solid-liquid` fluidization model into a predictive design model. The IIT hydrodynamic model computes the phase velocities and the volume fractions of gas, liquid, and particulate phases. Model verification involves a comparison of these computed velocities and volume fractions to experimental values.

Gidaspow, D.

1995-10-01T23:59:59.000Z

444

Dynamic model and estimation of the future eutrophication for the Lake Prespa  

Science Conference Proceedings (OSTI)

This paper presents a new computing analysis, based on Matlab Simulink, how to build a dynamic model for aquatic surface water bodies in our case the Lake Prespa. The dynamic model, which is more complex than the other models, it involves equation that ... Keywords: Lake Prespa, dynamic model, eutrophication, phosphorus concentration, scenario ca, scenario cc

Kosta Mitreski; Andreja Naumoski

2007-05-01T23:59:59.000Z

445

Structural Snapshots of Tankyrase, a Protein Involved in a Rare Genetic  

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

The Road to Ultrahigh-Resolution X-ray Spectrometers The Road to Ultrahigh-Resolution X-ray Spectrometers How Atoms Behave: Characteristics of Microstructural Avalanches Iodate Refuses to Intimidate Creating the Heart of a Planet in the Heart of a Gem How a Powerful Antibody Neutralizes HIV Science Highlights Archives: 2013 | 2012 | 2011 | 2010 2009 | 2008 | 2007 | 2006 2005 | 2004 | 2003 | 2002 2001 | 2000 | 1998 | Subscribe to APS Science Highlights rss feed Structural Snapshots of Tankyrase, a Protein Involved in a Rare Genetic Disorder and Potential Cancer Target DECEMBER 15, 2011 Bookmark and Share Tankyrase binding motifs derived from various Tankyrase substrates employ a common mode for Tankyrase binding. A discovery made with the help of x-rays from the Advanced Photon Source (APS) at Argonne National Laboratory provides researchers with a greater

446

The value of adding regional to local stakeholder involvement in evaluating the acceptability of innovative technologies  

SciTech Connect

Technology is urgently needed to clean up contamination by volatile organic compounds at United States Department of Energy (DOE) sites. In many cases, however, existing technology is too slow, inefficient, or expensive. The record of technology development is, in some cases, similarly disappointing. Remediation technologies developed at great expense and evaluated piecemeal over long periods have not been deployed because, in the end, the public judged them ineffective or unacceptable. The need for successful methods of remediation is too great and resources too limited to continue with ineffective technology evaluation. In order to make good decisions about which technologies to deploy, remedial project managers need to know stakeholders` requirements for the performance of proposed technologies. Expanding stakeholder involvement regionally identifies the concerns of a broad range of stakeholders at and DOE sites throughout the West -- issues that must be taken into account if technologies are to be accepted for wide deployment.

Peterson, T.S.; McCabe, G. [Pacific Northwest Lab., Richland, WA (United States); Niesen, K.; Serie, P. [Environmental Issues Management, Inc., Seattle, WA (United States)

1995-02-01T23:59:59.000Z

447

Involvement of calcium-sensing receptor in ischemia/reperfusion-induced apoptosis in rat cardiomyocytes  

Science Conference Proceedings (OSTI)

The calcium-sensing receptor (CaR) is a seven-transmembrane G-protein coupled receptor, which activates intracellular effectors, for example, it causes inositol phosphate (IP) accumulation to increase the release of intracellular calcium. Although intracellular calcium overload has been implicated in the cardiac ischemia/reperfusion (I/R)-induced apoptosis, the role of CaR in the induction of apoptosis has not been fully understood. This study tested the hypothesis that CaR is involved in I/R cardiomyocyte apoptosis by increasing [Ca{sup 2+}]{sub i}. The isolated rat hearts were subjected to 40-min ischemia followed by 2 h of reperfusion, meanwhile GdCl{sub 3} was added to reperfusion solution. The expression of CaR increased at the exposure to GdCl{sub 3} during I/R. By laser confocal microscopy, it was observed that the intracellular calcium was significantly increased and exhibited a collapsed {delta}{psi} {sub m}, as monitored by 5,5',6,6'-tetrachloro-1,1',3,3'- tetraethylbenzimidazolcarbocyanine iodide (JC-1) during reperfusion with GdCl{sub 3}. Furthermore, the number of apoptotic cells was significantly increased as shown by TUNEL assay. Typical apoptotic cells were observed with transmission electron microscopy in I/R with GdCl{sub 3} but not in the control group. The expression of cytosolic cytochrome c and activated caspase-9 and caspase-3 was significantly increased whereas the expression of mitochondrial cytochrome c significantly decreased in I/R with GdCl{sub 3} in comparison to the control. In conclusion, these results suggest that CaR is involved in the induction of cardiomyocyte apoptosis during ischemia/reperfusion through activation of cytochrome c-caspase-3 signaling pathway.

Zhang Weihua [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China); Fu Songbin [Department of Genetics, Harbin Medical University, Harbin 150086 (China); Bio-pharmaceutical Key Laboratory of Heilongjiang Province, Harbin 150086 (China); Lu Fanghao [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China)]. E-mail: lufanghao1973@yahoo.com.cn; Wu Bo [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China); Gong Dongmei [Department of Pharmacology, Harbin Medical University, Harbin 150086 (China); Pan, Zhen-wei [Department of Pharmacology, Harbin Medical University, Harbin 150086 (China); Lv Yanjie [Department of Pharmacology, Harbin Medical University, Harbin 150086 (China); Zhao Yajun [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China); Li Quanfeng [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China); Wang Rui [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China); Department of Biology, Lakehead University, Thunder Bay, Ont., P7B5E1 (Canada); Yang Baofeng [Department of Pharmacology, Harbin Medical University, Harbin 150086 (China); Bio-pharmaceutical Key Laboratory of Heilongjiang Province, Harbin 150086 (China); Xu Changqing [Department of Pathophysiology, Harbin Medical University, Harbin 150086 (China) and Bio-pharmaceutical Key Laboratory of Heilongjiang Province, Harbin 150086 (China)]. E-mail: xucq@163.com

2006-09-08T23:59:59.000Z

448

Exceptional Supersymmetric Standard Model  

E-Print Network (OSTI)

We discuss some phenomenological aspects of an $E_6$ inspired supersymmetric standard model with an extra $U(1)_{N}$ gauge symmetry under which right-handed neutrinos have zero charge, allowing a conventional see-saw mechanism. The $\\mu$ problem is solved in a similar way to the NMSSM, but without the accompanying problems of singlet tadpoles or domain walls. The above exceptional supersymmetric standard model (ESSM) involves the low energy matter content of three 27 representations of $E_6$, which is broken at the GUT scale, and allows gauge coupling unification due to an additional pair of Higgs-like doublets. The ESSM predicts a $Z'$ boson and exotic quarks which, if light enough, will provide spectacular new physics signals at the LHC. We study the LHC phenomenology of the $Z'$ and extra quarks, including their production and decay signatures particular to the ESSM. We also discuss the two-loop upper bound on the mass of the lightest CP-even Higgs boson, and show that it can be significantly heavier than in either the MSSM or the NMSSM.

S. F. King; S. Moretti; R. Nevzorov

2005-11-22T23:59:59.000Z

449

Model replication: transformations to address model scalability  

Science Conference Proceedings (OSTI)

In model-driven engineering, it is often desirable to evaluate different design alternatives as they relate to scalability issues of the modeled system. A typical approach to address scalability is model replication, which starts by creating base models ... Keywords: domain-specific modeling, model transformation, model-driven engineering, scalability

Yuehua Lin; Jeff Gray; Jing Zhang; Steve Nordstrom; Aniruddha Gokhale; Sandeep Neema; Swapna Gokhale

2008-11-01T23:59:59.000Z

450

Grey-box models for steam soil disinfestation simulation  

Science Conference Proceedings (OSTI)

Agricultural and biological processes often involve complex phenomena that depend not only on time but also on other independent variables, like spatial coordinates. These processes are intrinsically distributed parameter systems whose modelling requires ... Keywords: distributed parameter systems, linear parameter varying models, simulation of agricultural processes, steam disinfestation

R. Berruto; P. Gay; P. Piccarolo; C. Tortia

2004-04-01T23:59:59.000Z

451

Modeling of tomato drying using artificial neural network  

Science Conference Proceedings (OSTI)

This study involves experimental works on drying of tomatoes in a tray dryer covering different variables like power of heater and air flow velocity. The data are modeled using artificial neural network and empirical mathematical equations. The results ... Keywords: Artificial neural network, Curve fitting, Drying, Mathematical model

Kamyar Movagharnejad; Maryam Nikzad

2007-11-01T23:59:59.000Z

452

Learning graphical models for relational data via lattice search  

Science Conference Proceedings (OSTI)

Many machine learning applications that involve relational databases incorporate first-order logic and probability. Relational extensions of graphical models include Parametrized Bayes Net (Poole in IJCAI, pp. 985---991, 2003), Probabilistic Relational ... Keywords: Bayes nets, Graphical models, Markov logic networks, Statistical-relational learning

Oliver Schulte; Hassan Khosravi

2012-09-01T23:59:59.000Z

453

Introduction Application of numerical models of ground water flow  

E-Print Network (OSTI)

Introduction Application of numerical models of ground water flow almost always involves some sort (Yeh 1986; Poeter and Hill 1997; Hill et al. 1998). Other data beside hydraulic head have been used in calibration of ground water models, including rates of ground water exchange with streams and other surface

Saiers, James

454

Modeling environmental effects on directionality in wireless networks  

Science Conference Proceedings (OSTI)

One method for improving wireless network throughput involves using directional antennas to increase signal gain and/or decrease interference. The physical layer models used in current networking simulators only minimally address the interaction of directional ... Keywords: Antenna, Directional, Environment, Model, Networking, Wireless

Eric Anderson; Caleb Phillips; Douglas Sicker; Dirk Grunwald

2011-06-01T23:59:59.000Z

455

Towards a Reference Model for Surveying Mobile Agent Systems  

Science Conference Proceedings (OSTI)

There are increasing numbers of systems and research projects involving software agents and mobile agents. However, there is no reference model or conceptual framework to compare the resulting systems. In this paper, we propose a reference model to identify, ... Keywords: agent-based applications, mobile agent systems, mobile agents

Alberto Rodrigues Silva; Artur Romão; Dwight Deugo; Miguel Mira Da Silva

2001-09-01T23:59:59.000Z

456

Maturity Model for Advancing Smart Grid Interoperability  

Science Conference Proceedings (OSTI)

Abstract—Interoperability is about the properties of devices and systems to connect and work properly. Advancing interoperability eases integration and maintenance of the resulting interconnection. This leads to faster integration, lower labor and component costs, predictability of projects and the resulting performance, and evolutionary paths for upgrade. When specifications are shared and standardized, competition and novel solutions can bring new value streams to the community of stakeholders involved. Advancing interoperability involves reaching agreement for how things join at their interfaces. The quality of the agreements and the alignment of parties involved in the agreement present challenges that are best met with process improvement techniques. The GridWise® Architecture Council (GWAC) sponsored by the United States Department of Energy is supporting an effort to use concepts from capability maturity models used in the software industry to advance interoperability of smart grid technology. An interoperability maturity model has been drafted and experience is being gained through trials on various types of projects and community efforts. This paper describes the value and objectives of maturity models, the nature of the interoperability maturity model and how it compares with other maturity models, and experiences gained with its use.

Knight, Mark; Widergren, Steven E.; Mater, J.; Montgomery, Austin

2013-10-28T23:59:59.000Z

457

Variability of the Tropical Atlantic Ocean Simulated by a General Circulation Model with Two Different Mixed-Layer Physics  

Science Conference Proceedings (OSTI)

The embedment of a 1.5 turbulence closure model in an ocean general circulation model of the equatorial Atlantic is presented. The eddy viscosity and diffusivity involved in the vertical mixing are defined as the product of a characteristic ...

Bruno Blanke; Pascale Delecluse

1993-07-01T23:59:59.000Z

458

Kinetic and hydrodynamic models of chemotactic aggregation  

E-Print Network (OSTI)

We derive general kinetic and hydrodynamic models of chemotactic aggregation that describe certain features of the morphogenesis of biological colonies (like bacteria, amoebae, endothelial cells or social insects). Starting from a stochastic model defined in terms of N coupled Langevin equations, we derive a nonlinear mean field Fokker-Planck equation governing the evolution of the distribution function of the system in phase space. By taking the successive moments of this kinetic equation and using a local thermodynamic equilibrium condition, we derive a set of hydrodynamic equations involving a damping term. In the limit of small frictions, we obtain a hyperbolic model describing the formation of network patterns (filaments) and in the limit of strong frictions we obtain a parabolic model which is a generalization of the standard Keller-Segel model describing the formation of clusters (clumps). Our approach connects and generalizes several models introduced in the chemotactic literature. We discuss the anal...

Chavanis, Pierre-Henri

2007-01-01T23:59:59.000Z

459

Criticality Model  

Science Conference Proceedings (OSTI)

The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

A. Alsaed

2004-09-14T23:59:59.000Z

460

Agent-based analysis of patterns in crowd behaviour involving contagion of mental states  

Science Conference Proceedings (OSTI)

In this paper an agent-based analysis is made of patterns in crowd behaviour, in particular to simulate a real-life incident that took place on May 4, 2010 in Amsterdam. As a basis, an existing agent-based model is used for contagion of emotions, beliefs ... Keywords: belief, contagion, crowd behaviour, emotion, intention

Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur; C. Natalie Van Der Wal

2011-06-01T23:59:59.000Z

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461

NJITMAGA-HARDCOPY Some of those involved in the public policy debate may have  

E-Print Network (OSTI)

fuels used to generate electricity. Under the old regulatory model, these costs would have been directly or functionally transfer ownership of their electric generating plants. Utilities still deliver elec- tricity. The savings stem from reducing the impact of fuel cost increases and efficiency improvements at electric

Bieber, Michael

462

On the Cover: One route to harvesting the energy of the sun involves learning to mimic  

E-Print Network (OSTI)

.1% of the world's electricity, and solar fuel from modern (sustainable) biomass provided less than 1 Defect-tolerant and Self-repairing Solar Conversion Systems ................. 145 Solar Thermochemical and development RC reaction center TCO transparent conducting oxide TMS theoretical modeling and simulation TPV

Wu, Zhigang

463

Heavy Flavor Simplified Models at the LHC  

Science Conference Proceedings (OSTI)

We consider a comprehensive set of simplified models that contribute to final states with top and bottom quarks at the LHC. These simplified models are used to create minimal search strategies that ensure optimal coverage of new heavy flavor physics involving the pair production of color octets and triplets. We provide a set of benchmarks that are representative of model space, which can be used by experimentalists to perform their own optimization of search strategies. For data sets larger than 1 fb{sup -1}, same-sign dilepton and 3b search regions become very powerful. Expected sensitivities from existing and optimized searches are given.

Essig, Rouven; /YITP, Stony Brook /Princeton, Inst. Advanced Study /SLAC; Izaguirre, Eder; /SLAC /Stanford U., Phys. Dept.; Kaplan, Jared; Wacker, Jay G.; /SLAC

2012-04-03T23:59:59.000Z

464

A luminosity model of RHIC gold runs  

SciTech Connect

In this note, we present a luminosity model for RHIC gold runs. The model is applied to the physics fills in 2007 run without cooling, and with the longitudinal cooling applied to one beam only. Having good comparison, the model is used to project a fill with the longitudinal cooling applied to both beams. Further development and possible applications of the model are discussed. To maximize the integrated luminosity, usually the higher beam intensity, smaller longitudinal and transverse emittance, and smaller {beta} are the directions to work on. In past 10 years, the RHIC gold runs have demonstrated a path toward this goal. Most recently, a successful commissioning of the bunched beam stochastic cooling, both longitudinal and transverse, has offered a chance of further RHIC luminosity improvement. With so many factors involved, a luminosity model would be useful to identify and project gains in the machine development. In this article, a preliminary model is proposed. In Section 2, several secondary factors, which are not yet included in the model, are identified based on the RHIC operation condition and experience in current runs. In Section 3, the RHIC beam store parameters used in the model are listed, and validated. In Section 4, the factors included in the model are discussed, and the luminosity model is presented. In Section 5, typical RHIC gold fills without cooling, and with partial cooling are used for comparison with the model. Then a projection of fills with more coolings is shown. In Section 6, further development of the model is discussed.

Zhang, S.Y.

2011-11-01T23:59:59.000Z

465

Pancreatic Neuroendocrine Tumors With Involved Surgical Margins: Prognostic Factors and the Role of Adjuvant Radiotherapy  

SciTech Connect

Purpose: Pancreatic neuroendocrine tumors (pNET) are rare neoplasms associated with poor outcomes without resection, and involved surgical margins are associated with a worse prognosis. The role of adjuvant radiotherapy (RT) in these patients has not been characterized. Methods and Materials: We retrospectively evaluated 46 consecutive patients with positive or close (<1 mm) margins after pNET resection, treated from 1983 to 2010, 16 of whom received adjuvant RT. Median RT dose was 50.4 Gy in 1.8-Gy fractions; half the patients received concurrent chemotherapy with 5-fluorouracil or capecitabine. No patients received adjuvant chemotherapy. Cox multivariate analysis (MVA) was used to analyze factors associated with overall survival (OS). Results: Median age at diagnosis was 56 years, and 52% of patients were female. Median tumor size was 38 mm, 57% of patients were node-positive, and 11% had a resected solitary liver metastasis. Patients who received RT were more likely to have larger tumors (median, 54 mm vs. 30 mm, respectively, p = 0.002) and node positivity (81% vs. 33%, respectively, p = 0.002) than those not receiving RT. Median follow-up was 39 months. Actuarial 5-year OS was 62% (95% confidence interval [CI], 41%-77%). In the group that did not receive RT, 3 patients (10%) experienced local recurrence (LR) and 5 patients (18%) developed new distant metastases, while in the RT group, 1 patient (6%) experienced LR and 5 patients (38%) developed distant metastases. Of all recurrences, 29% were LR. On MVA, male gender (adjusted hazard ratio [AHR] = 3.81; 95% CI, 1.21-11.92; p = 0.02) and increasing tumor size (AHR = 1.02; 95% CI, 1.01-1.04; p = 0.007) were associated with decreased OS. Conclusions: Long-term survival is common among patients with involved-margin pNET. Despite significantly worse pathologic features among patients receiving adjuvant RT, rates of LR between groups were similar, suggesting that RT might aid local control, and merits further evaluation.

Arvold, Nils D. [Harvard Radiation Oncology Program, Harvard Medical School, Boston, MA (United States); Willett, Christopher G. [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States); Fernandez-del Castillo, Carlos [Department of Surgery, Massachusetts General Hospital, Boston, MA (United States); Ryan, David P. [Department of Medicine, Massachusetts General Hospital, Boston, MA (United States); Ferrone, Cristina R. [Department of Surgery, Massachusetts General Hospital, Boston, MA (United States); Clark, Jeffrey W.; Blaszkowsky, Lawrence S. [Department of Medicine, Massachusetts General Hospital, Boston, MA (United States); Deshpande, Vikram [Department of Pathology, Massachusetts General Hospital, Boston, MA (United States); Niemierko, Andrzej [Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA (United States); Allen, Jill N.; Kwak, Eunice L.; Wadlow, Raymond C.; Zhu, Andrew X. [Department of Medicine, Massachusetts General Hospital, Boston, MA (United States); Warshaw, Andrew L. [Department of Surgery, Massachusetts General Hospital, Boston, MA (United States); Hong, Theodore S., E-mail: Tshong1@partners.org [Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA (United States)

2012-07-01T23:59:59.000Z

466

Century Model Product Available  

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

Century Model Available The ORNL DAAC announces the availability of a new model product. The model product "CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4...

467

Nuclear Models  

SciTech Connect

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

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

2010-09-10T23:59:59.000Z

468

Kinetics and dynamics of oxidation reactions involving an adsorbed CO species on bulk and supported platinum and copper-oxide. First year annual report, January 1, 1991--December 31, 1991  

DOE Green Energy (OSTI)

The proposed research is an integrated experimental and modeling study of oxidation reactions involving CO as a key player -- be it a reactant, adsorbed intermediate, and/or partial oxidation product -- in the catalytic sequence and chemistry. The reaction systems of interest in the project include CO, formaldehyde, and methanol oxidation by O{sub 2} and CO oxidation by NO, on both Pt and copper oxide catalysts. These reactions are of importance in automobile exhaust catalysis. There is a paucity of rate data in the literature for these important environmental control reactions. The goal of this research is to better understand the catalytic chemistry and kinetics of oxidations reactions involving CO as an adsorbed intermediate. Successfully meeting this goal requires an integration of basic kinetic measurements, in situ catalyst surface monitoring, kinetic modeling, and nonlinear mathematical tools.

Harold, M.P.

1991-07-01T23:59:59.000Z

469

Risk of Developing Cardiovascular Disease After Involved Node Radiotherapy Versus Mantle Field for Hodgkin Lymphoma  

SciTech Connect

Purpose: Hodgkin lymphoma (HL) survivors are known to have increased cardiac mortality and morbidity. The risk of developing cardiovascular disease after involved node radiotherapy (INRT) is currently unresolved, inasmuch as present clinical data are derived from patients treated with the outdated mantle field (MF) technique. Methods and Materials: We included all adolescents and young adults with supradiaphragmatic, clinical Stage I-II HL treated at our institution from 2006 to 2010 (29 patients). All patients were treated with chemotherapy and INRT to 30 to 36 Gy. We then simulated a MF plan for each patient with a prescribed dose of 36 Gy. A logistic dose-response curve for the 25-year absolute excess risk of cardiovascular disease was derived and applied to each patient using the individual dose-volume histograms. Results: The mean doses to the heart, four heart valves, and coronary arteries were significantly lower for INRT than for MF treatment. However, the range in doses with INRT treatment was substantial, and for a subgroup of patients, with lymphoma below the fourth thoracic vertebrae, we estimated a 25-year absolute excess risk of any cardiac event of as much as 5.1%. Conclusions: Our study demonstrates a potential for individualizing treatment by selecting the patients for whom INRT provides sufficient cardiac protection for current technology; and a subgroup of patients, who still receive high cardiac doses, who would benefit from more advanced radiation technique.

Maraldo, Maja V., E-mail: dra.maraldo@gmail.com [Department of Radiation Oncology, Rigshospitalet, Copenhagen (Denmark); Brodin, Nils Patrik; Vogelius, Ivan R.; Aznar, Marianne C.; Munck af Rosenschoeld, Per; Petersen, Peter M. [Department of Radiation Oncology, Rigshospitalet, Copenhagen (Denmark); Specht, Lena [Department of Radiation Oncology, Rigshospitalet, Copenhagen (Denmark); Faculty of Health Sciences, University of Copenhagen, Copenhagen (Denmark)

2012-07-15T23:59:59.000Z

470

From public participation to stakeholder involvement: The rocky road to more inclusiveness  

Science Conference Proceedings (OSTI)

Surviving always at the edge of extinction, public participation in environmental decision making has an uncertain and problematic history. From its emergence from the urban planning and delivery system efforts of the 1960s to many siting and non-siting uses today, it remains a battleground, with few successes and many failures. While some compelling structural, organizational and cultural explanations for this state of affairs exist, the author offers a further one--a too-limited definition and vision of public participation. One then can argue for a more inclusive process such as stakeholder involvement (SI) to enable a more viable approach to decision making. One can argue that the narrow conceptualization offered in the term public participation (PP) is partly responsible for the meager results of decades of efforts by earnest practitioners. Because of the limited, unique, and self-selected publics that respond to the major PP mechanisms such as public hearings, PP has become largely the province of organized activist groups and is largely accepted as such by most parties, including PP professionals. The author reviews the roles of Congress, federal agencies/proponents, local governments, activist groups and PP professionals in creating the current limited PP processes. She discusses trends and prospects for moving to broader based, more inclusive SI approaches. The emerging SI approach presents major methodological and organizational challenges, but offers the promise of outcomes more likely to be legitimated and potentially more lasting.

Peelle, E.

1995-07-01T23:59:59.000Z

471

TopBP1 associates with NBS1 and is involved in homologous recombination repair  

SciTech Connect

TopBP1 is involved in DNA replication and DNA damage checkpoint. Recent studies have demonstrated that TopBP1 is a direct positive effecter of ATR. However, it is not known how TopBP1 recognizes damaged DNA. Here, we show that TopBP1 formed nuclear foci after exposure to ionizing radiation, but such TopBP1 foci were abolished in Nijmegen breakage syndrome cells. We also show that TopBP1 physically associated with NBS1 in vivo. These results suggested that NBS1 might regulate TopBP1 recruitment to the sites of DNA damage. TopBP1-depleted cells showed hypersensitivity to Mitomycin C and ionizing radiation, an increased frequency of sister-chromatid exchange level, and a reduced frequency of DNA double-strand break induced homologous recombination repair. Together, these results suggested that TopBP1 might be a mediator of DNA damage signaling from NBS1 to ATR and promote homologous recombination repair.

Morishima, Ken-ichi [Department of Radiation Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Sakamoto, Shuichi; Kobayashi, Junya [Department of Genome Dynamics, Radiation Biology Center, Kyoto University, Kyoto 606-8501 (Japan); Izumi, Hideki; Suda, Tetsuji; Matsumoto, Yoshiyuki [Department of Radiation Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Tauchi, Hiroshi [Department of Environmental Sciences, Ibaraki University, Mito, Ibaraki 310-8512 (Japan); Ide, Hiroshi [Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Higashi-Hiroshima, Hiroshima 739-8562 (Japan); Komatsu, Kenshi [Department of Genome Dynamics, Radiation Biology Center, Kyoto University, Kyoto 606-8501 (Japan); Matsuura, Shinya [Department of Radiation Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8553 (Japan)], E-mail: shinya@hiroshima-u.ac.jp

2007-11-03T23:59:59.000Z

472

Endovascular Treatment of Infrarenal Abdominal Aortic Lesions With or Without Common Iliac Artery Involvement  

SciTech Connect

To evaluate the results of stent placement for obstructive atherosclerotic aortic disease with or without involvement of the common iliac artery. Forty patients had self-expanding stents primarily or after balloon dilatation in the abdominal aorta between January 2005 and May 2011. All patients had trouble walking. Follow-up examinations were performed with clinical visits; these included color Doppler ultrasonography and computed tomographic angiography. Technical, clinical, and hemodynamic success was achieved in all patients. None of the patients underwent reintervention during the follow-up period, which ranged from 3 months to 6 years (median 24 months). Nine complications occurred in six patients. Of the nine complications, four were distal thromboembolisms, which were successfully treated with catheter-directed thrombolysis or anticoagulation therapy. Endovascular treatment of the obstructive aortic disease using self-expanding stents was safe and effective, with high technical success and long-term patency. Thromboembolic complications were high even though direct stenting was considered protective for thromboembolism formation. Particularly for infrarenal aortic stenosis, it can be recommended as the first-line treatment option for patients with obstructive atherosclerotic aortic disease.

Oender, Hakan, E-mail: drhakanonder@hotmail.com [Dicle University Medical Faculty, Department of Radiology (Turkey)] [Dicle University Medical Faculty, Department of Radiology (Turkey); Oguzkurt, Levent [Baskent University Medical Faculty, Department of Radiology (Turkey)] [Baskent University Medical Faculty, Department of Radiology (Turkey); Guer, Serkan [Sifa University Medical Faculty, Department of Radiology (Turkey)] [Sifa University Medical Faculty, Department of Radiology (Turkey); Tekbas, Gueven [Dicle University Medical Faculty, Department of Radiology (Turkey)] [Dicle University Medical Faculty, Department of Radiology (Turkey); Guerel, Kamil [Abant Izzet Baysal University Medical Faculty, Department of Radiology (Turkey)] [Abant Izzet Baysal University Medical Faculty, Department of Radiology (Turkey); Coskun, Isa [Baskent University Medical Faculty, Department of Cardiovascular Surgery (Turkey)] [Baskent University Medical Faculty, Department of Cardiovascular Surgery (Turkey); Oezkan, Ugur [Baskent University Medical Faculty, Department of Radiology (Turkey)] [Baskent University Medical Faculty, Department of Radiology (Turkey)

2013-02-15T23:59:59.000Z

473

Phase 1 involvement for potential stakeholders of the VOC-Arid Integrated Demonstration  

SciTech Connect

This report describes Phase I of a three-phased study to support evaluation of new cleanup technologies for federal facilities. It directly supports the Volatile Organic Compounds (VOC)-Arid Site Integrated Demonstration (VOC-Arid ID) being conducted at the Hanford Site. The purpose of the activity is to develop and demonstrate new technologies for cleaning up carbon tetrachloride and other VOCs in soils and groundwater. The institutional assessment task of the VOC-Arid ID, which is being performed by Battelle Seattle Research Center, is assessing regulatory and public acceptability of new technologies. Phase I focuses on gathering Hanford stakeholder input on how to evaluate technologies. Phase II will involve stakeholders applying the technology evaluation criteria to actual demonstration technologies. In Phase III, the task will evaluate stakeholder acceptability of innovative technologies at other DOE candidate sites. Only if a technology performs effectively during demonstration, and is accepted by the regulatory community and the public, can it be recommended for deployment. Phase I consisted of a series of stakeholder interviews and two stakeholder workshops, both designed to receive input about the criteria to be used to evaluate innovative technologies.

McCabe, G.H. [Battelle Seattle Research Center, WA (United States)

1992-12-01T23:59:59.000Z

474

LOFAR-UK White Paper: A Science case for UK involvement in LOFAR  

E-Print Network (OSTI)

LOFAR, the Low-Frequency Array, is a next-generation software-driven radio telescope operating between 30 and 240MHz, currently under construction by ASTRON in the Netherlands. This low frequency radio band is one of the few largely unexplored regions of the electromagnetic spectrum. The sensitivity and angular resolution offered by LOFAR will be two to three orders of magnitude better than existing telescopes, and as such it will open up this new window on the Universe. LOFAR will impact on a broad range of astrophysics, from cosmology to solar system studies. There is growing European involvement in LOFAR, driven by the need to add stations far from the main core in order to improve angular resolution. LOFAR-UK is a project aimed at cementing UK participation in LOFAR via the operation of four stations within the UK. LOFAR-UK ground stations will allow LOFAR observations to reach sub-arcsecond scales at the highest frequencies, and as a result will also improve the (confusion-limited) sensitivity limit of t...

Best, P N

2008-01-01T23:59:59.000Z

475

Investigations of the Fundamental Surface Reactions Involved in the Sorption and Desorption of Radionuclides  

SciTech Connect

Models for describing solution- and surface-phase reactions have been used for 30 years, but only recently applicable to complex surfaces. Duff et al., using micro-XANES, found that Pu was concentrated on Mn-oxide and smectite phases of zeolitic tuff, providing an evaluation of contaminant speciation on surfaces for modeling. Experiments at Los Alamos demonstrated that actinides display varying surface residence time distributions, probably reflective of mineral surface heterogeneity. We propose to investigate the sorption/desorption behavior of radionuclides from mineral surfaces, as effected by microorganisms, employing isolates from Nevada Test Site deep alluvium as a model system. Characterizations will include surface area, particle size distribution, x-ray diffraction (XRD), microprobe analysis, extractions, and microbiology. Surface interactions will be assessed by electron spectroscopy (XPS), x-ray absorption fine structure spectroscopy (XAFS), X-ray emission spectroscopy, transmission electron microscopy (TEM) and Scanning electron microscopy (SEM). Desert Research Institute (DRI), University of Nevada, Reno (UNR), and University of Nevada, Las Vegas (UNLV) researchers will collaborate to enhance scientific infrastructure and the understanding of contaminant behavior on surfaces, with broader implications for the management of DOE sites.

Czerwinski, Ken; Heske, Clemens; Moser, Duane; Misra, Mnoranjan; McMillion, Glen

2011-04-20T23:59:59.000Z

476

Moist multi-scale models for the hurricane embryo  

SciTech Connect

Determining the finite-amplitude preconditioned states in the hurricane embryo, which lead to tropical cyclogenesis, is a central issue in contemporary meteorology. In the embryo there is competition between different preconditioning mechanisms involving hydrodynamics and moist thermodynamics, which can lead to cyclogenesis. Here systematic asymptotic methods from applied mathematics are utilized to develop new simplified moist multi-scale models starting from the moist anelastic equations. Three interesting multi-scale models emerge in the analysis. The bal