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1

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

2

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

3

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

4

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...

5

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...

6

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

7

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

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

20

Run manager module for CORAL laboratory management  

E-Print Network (OSTI)

This thesis describes a new module, the Run Manager (RM), for Stanford Nanofabrication Facility's Common Object Representation for Advanced Laboratories (CORAL). CORAL is the lab manager with which MIT's Microsystems ...

Klann, Jeffrey G

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

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.

22

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

23

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

24

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.

25

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

26

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

27

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

28

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.

29

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

30

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

31

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

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

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, ...

34

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

35

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

36

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

37

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

38

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

39

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

40

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 "modules nems runs" 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

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

42

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

43

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

44

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

45

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

46

CMS Runs  

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

Runs Runs Web Based Monitoring Run Summary DQM Run Registry Commissioning & Run Coordination Online WorkBook Global Run Data Analysis FNAL ROC Process Summary [May-Dec 2007] Text output of Run Summary Global File List in dCache Directory Index DBS Discovery Aug 2008: ROOT Jul 2008: ROOT Jun 2008: ROOT May 2008: ROOT Mar 2008: ROOT Nov/Dec 2007: Streamer ROOT Sep 2007: Streamer ROOT Aug 2007: Streamer ROOT Jul 2007: Streamer ROOT Jun 2007: Streamer ROOT DQM May 2007: Streamer ROOT DQM PhEDEx Transfer State Cruzet4 Files Transferred Cruzet3 Files Transferred Cruzet2 Files Transferred GlobalCruzet1 Files Transferred GlobalMar08 Files Transferred to FNAL GlobalNov07 Files Transferred to FNAL GlobalSep07 Files Transferred to FNAL GlobalAug07 Files Transferred to FNAL

47

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...

48

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.

49

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

50

Repo Runs  

E-Print Network (OSTI)

This paper develops a model of financial institutions that borrow shortterm and invest into long-term marketable assets. Because these financial intermediaries perform maturity transformation, they are subject to runs. We endogenize the profits of the intermediary and derive distinct liquidity and solvency conditions that determine whether a run can be prevented. We first characterize these conditions for an isolated intermediary and then generalize them to the case where the intermediary can sell assets to prevent runs. The sale of assets can eliminate runs if the intermediary is solvent but illiquid. However, because of cash-in-the-market pricing, this becomes less likely the more intermediaries are facing problems. In the limit, in case of a general market run, no intermediary can sell assets to forestall a run, and our original solvency and liquidity constraints are again relevant for the stability of financial institutions.

Antoine Martin; David Skeie; Ernst-ludwig Von Thadden

2009-01-01T23:59:59.000Z

51

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

52

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

53

Macroeconomic Activity Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2013 (AEO2013). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

2013-04-10T23:59:59.000Z

54

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

55

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

56

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

57

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

58

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

59

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

60

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

62

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

63

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

64

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

65

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.

66

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

67

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

68

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

69

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

70

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

71

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

72

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

73

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

74

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

75

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

76

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

77

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

78

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

79

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

80

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

82

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

83

Unable to allocate hugepages in running jobs  

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

Unable to allocate hugepages in running jobs Unable to allocate hugepages in running jobs Unable to allocate hugepages in running jobs January 14, 2013 by Helen He (0 Comments) Symptom User job sometimes get an error message similar to the following, usually at the start of a batch job, causing the job to abort: MPICH2 ERROR [Rank 7436] [job id 14638087] [Sat Jan 12 04:56:54 2013] [c11-2c1s3n1] [nid04487] - MPIU_nem_gni_get_hugepages(): Unable to mmap 4194304 bytes for file /var/lib/hugetlbfs/global/pagesize-2097152/hugepagefile.MPICH.0.5841.kvs_14638087, err Cannot allocate memory This is caused by available huge page memory being not sufficient on one or more of the allocated compute nodes. The above error happens more often with jobs using the "-ss" option for the aprun command. It is confirmed

84

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module 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, electricity load and demand, 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 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

85

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

86

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

87

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

88

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

89

Commercial Sector Demand Module  

Reports and Publications (EIA)

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.

Kevin Jarzomski

2012-11-15T23:59:59.000Z

90

Coal Market Module  

Reports and Publications (EIA)

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 2013 (AEO2013). 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).

Michael Mellish

2013-07-17T23:59:59.000Z

91

Commercial Sector Demand Module  

Reports and Publications (EIA)

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.

Kevin Jarzomski

2013-10-10T23:59:59.000Z

92

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

93

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module 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, electricity load and demand, 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 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

94

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module 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, electricity load and demand, 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 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

95

Electricity Market Module  

Reports and Publications (EIA)

Documents the Electricity Market Module as it was used for the Annual Energy Outlook 2013. 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 Electricity Load and Demand (ELD) Submodule.

Jeff Jones

2013-07-24T23:59:59.000Z

96

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

97

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

98

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"

99

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

100

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

Note: This page contains sample records for the topic "modules nems runs" 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

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into the United States by export region. Changes in the oil price (WTI), which is defined as the price of light, low-sulfur crude oil delivered to Cushing, Oklahoma in

102

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 23 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes world oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into

103

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

104

Running Jobs on Edison  

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

jobs Running jobs For Edison Phase 1 users You can run jobs in the same way as you did on the phase 1 system, but keep in mind that the number of cores per node is 24 instead of...

105

User_RunReports  

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

Running Standard Reports Running Standard Reports © 2011 SuccessFactors, Inc. - 1 - SuccessFactors Learning Confidential. All rights reserved. Job Aid: Running Standard Reports Purpose The purpose of this job aid is to guide users through the step-by-step process of running standard reports in SuccessFactors Learning. Task A. Run Standard Report From the Home page, click the Reports easy link. In the Report Name table, locate the report you want to generate. Click the expand icon ( ) to expand the report group. Click the title link. For this example, select the User Curriculum Status Group by Item Details report. Note: Click Help ( ) for additional information on reports. 1 1 2 2 3 3 Run Standard Report 13 Steps Task A SuccessFactors Learning v 6.4 User Job Aid

106

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

107

Running Jobs on Franklin  

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

jobs jobs Running jobs Job Launch Overview Parallel applications can not run on the login nodes. They must be launched onto the compute nodes via the aprun command. Read More » Interactive Jobs Interactive jobs may be run on Franklin by requesting resources from the batch system. "qsub -I -V -q interactive -lmppwidth=[num_cores]" is the basic command to request interactive resources. Read More » Submitting Batch Jobs Basic batch scripts, torque keywords. Sample scripts for advanced work flows: running multiple jobs, MPMD jobs, job dependencies. Read More » Queues and Policies Queue configuration and limits, policies and tips for getting your job through the queue faster. Read More » Monitoring Jobs Once a job is submitted it can be monitored, held, deleted and in some

108

Running Jobs on Edison  

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

jobs jobs Running jobs Quick Instructions for Hopper users Major differences between running jobs on Hopper and Edison are: the number of cores per node are different, and the Intel Hyper-threading option is available on Edison. Read More » Overview A brief overview of how to run jobs on Edison. Read More » Interactive Jobs Interactive jobs may be run on Edison by requesting resources from the batch system. "qsub -I -V -q interactive -lmppwidth=[num_cores]" is the basic command to request interactive resources. Read More » Batch Jobs Batch script options. Read More » Example Batch Scripts Sample batch scripts for MPI, OpenMP, hybrid applications and various workflows. Read More » Job Launch Command: aprun Aprun is the job launcher for Cray XC30. There are many options that are

109

Running Jobs on Edison  

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

Instructions for Hopper users Major differences between running jobs on Hopper and Edison are: the number of cores per node are different, and the Intel Hyper-threading option...

110

Liquid Fuels Market Module  

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

Liquid Fuels Market Module Liquid Fuels Market Module This page inTenTionally lefT blank 145 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Liquid Fuels Market Module The NEMS Liquid Fuels Market Module (LFMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, esters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the LFMM projects capacity expansion and fuel consumption at domestic refineries. The LFMM contains a linear programming (LP) representation of U.S. petroleum refining

111

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

112

Renewable Fuels Module This  

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

Fuels Module Fuels Module This page inTenTionally lefT blank 175 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources: biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind [1]. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve

113

Running jobs on Euclid  

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

Running jobs Running jobs Running jobs Overview and Basic Description Euclid is a single node system with 48 processors. It supports both multiprocessing (MPI) and multithreading programming models. Interactive Jobs All Euclid jobs are interactive. To launch an MPI job, type in this at the shell prompt: % mpirun -np numprocs executable_name where numprocs is the total number of MPI processes that will be executed. Interactive Usage Policy Due to the dynamic and unpredictable nature of visualization and data analysis, NERSC will attempt to provide equitable access to Euclid's resources through the enforcement of certain usage guidelines. The most crucial resources are the processor cores (48) and memory (512 GB). Processor Core Usage Policy No single interactive job should use more than 12 processor cores. A single

114

Fermilab DART run control  

SciTech Connect

DART is the high speed, Unix based data acquisition system being developed by Fermilab in collaboration with seven High Energy Physics Experiments. This paper describes DART run control, which has been developed over the past year and is a flexible, distributed, extensible system for the, control and monitoring of the data acquisition systems. We discuss the unique and interesting concepts of the run control and some of our experiences in developing it. We also give a brief update and status of the whole DART system.

Oleynik, G.; Engelfried, J.; Mengel, L. [and others

1995-05-01T23:59:59.000Z

115

Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 153 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2011, DOE/EIA-M060(2011) (Washington, DC, 2011). Key assumptions Coal production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

116

Coal Market Module This  

Gasoline and Diesel Fuel Update (EIA)

51 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2012, DOE/EIA-M060(2012) (Washington, DC, 2012). Key assumptions Coal production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

117

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

118

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

119

Running Jobs.ppt  

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

Submitting and Running Jobs on Submitting and Running Jobs on the Cray XT5 Richard Gerber NERSC User Services RAGerber@lbl.gov Joint Cray XT5 Workshop UC-Berkeley February 1, 2010 February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley Outline * XT5 Overview * Creating and Submitting a Batch Job * How a Job Is Launched * Monitoring Your Job * Queues and Policies Hopper in blue; Jaguar in Orange; Kraken in Green February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley Cray XT5 Overview Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node etc.... No local disk Login Node Login Node Login Node etc.... home Login Node Login Node $SCRATCH[1|2] /tmp/work/$USER /lustre/scratch/$USER

120

Oil and Gas Supply Module  

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

Oil and Gas Supply Module Oil and Gas Supply Module This page inTenTionally lefT blank 119 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze crude oil and natural gas exploration and development on a regional basis (Figure 8). The OGSM is organized into 4 submodules: Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply Submodule[1], and Alaska Oil and Gas Supply Submodule. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2011), (Washington, DC, 2011). The OGSM provides

Note: This page contains sample records for the topic "modules nems runs" 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

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module 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-side management, 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 2002, DOE/EIA- M068(2002) January 2002. 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

122

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module 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-side management, 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 2001, DOE/EIA- M068(2001) January 2001. 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

123

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

124

Determination of W boson helicity fractions in top quark decays in p anti-p collisions at CDF Run II and production of endcap modules for the ATLAS Silicon Tracker  

SciTech Connect

The thesis presented here includes two parts. The first part discusses the production of endcap modules for the ATLAS SemiConductor Tracker at the University of Geneva. The ATLAS experiment is one of the two multi-purpose experiments being built at the LHC at CERN. The University of Geneva invested extensive efforts to create an excellent and efficient module production site, in which 655 endcap outer modules were constructed. The complexity and extreme requirements for 10 years of LHC operation with a high resolution, high efficiency, low noise tracking system resulted in an extremely careful, time consuming production and quality assurance of every single module. At design luminosity about 1000 particles will pass through the tracking system each 25 ns. In addition to requiring fast tracking techniques, the high particle flux causes significant radiation damage. Therefore, modules have to be constructed within tight and accurate mechanical and electrical specification. A description of the ATLAS experiment and the ATLAS Semiconductor tracker is presented, followed by a detailed overview of the module production at the University of Geneva. My personal contribution to the endcap module production at the University of Geneva was taking part, together with other physicists, in selecting components to be assembled to a module, including hybrid reception tests, measuring the I-V curve of the sensors and the modules at different stages of the production, thermal cycling the modules and performing electrical readout tests as an initial quality assurance of the modules before they were shipped to CERN. An elaborated description of all of these activities is given in this thesis. At the beginning of the production period the author developed a statistics package which enabled us to monitor the rate and quality of the module production. This package was then used widely by the ATLAS SCT institutes that built endcap modules of any type, and kept being improved and updated. The production monitoring and summary using this package is shown in this thesis. The second part of the thesis reports a measurement of the fraction of longitudinal and right-handed helicity states of W bosons in top quark decays. This measurement was done using 955 pb{sup -1} of data collected with the CDF detector at the TEvatron, where protons and anti-protons are collided with a center-of-mass energy of 1.96 TeV. the helicity fraction measurements take advantage of the fact that the angular distribution of the W boson decay products depends on the helicity state of the W which they originate from. They analyze t{bar t} events in the 'lepton+jets' channel and look at the leptonic side of decay. They construct templates for the distribution of cos{theta}*, the angle between the charged lepton and the W flight direction in the rest frame of the top quark. Using Monte Carlo techniques, they construct probability distributions ('templates') for cos{theta}* in the case of left-handed, longitudinal and right-handed Ws and a template for the background model. They extract the W helicity fractions using an unbinned likelihood fitter based on the information of these templates. The Standard Model predicts the W helicity fractions to be about 70% longitudinal and 30% left-handed, while the fraction of right-handed W bosons in top decays is highly suppressed and vanishes when neglecting the mass of the b quark.

Moed, Shulamit; /Geneva U.

2007-01-01T23:59:59.000Z

125

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

126

Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 137 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Administration for

127

Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 167 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources: biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind [1]. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the

128

Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 135 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, esters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Administration for

129

Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

1 1 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze crude oil and natural gas exploration and development on a regional basis (Figure 8). The OGSM is organized into 4 submodules: Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply Submodule[1], and Alaska Oil and Gas Supply Submodule. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2011), (Washington, DC, 2011). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum

130

Polarization Issues in Run 2008  

SciTech Connect

The RHIC proton beam polarization has a strong dependence on intensity in Run 2008, whereas the dependence is almost absent in Run 2006. Meanwhile, the RHIC beam transverse emittance also has a dependence on intensity in Run 2008, but little in Run 2006. Using the emittance measurement at the AGS IPM and the BtA multiwires, the source of this difference between 2006 and 2008 runs is traced to the Booster. It is found that at least the degree of the vertical scraping in the Booster is different in 2006 and 2008. The effect of this scraping for the RHIC beam emittance and polarization is studied.

Zhang,S.Y.; Ahrens, L.; Huang, H.; Zeno, K.

2008-07-01T23:59:59.000Z

131

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

132

Running Interactive Jobs on Franklin  

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

Interactive Jobs Interactive Jobs Interactive Jobs Serial Code or Commands Franklin is a massively parallel high-performance computing platform and is intended and designed to run large parallel codes. While it is possible to run serial jobs on Franklin, it is discouraged. Any code or command that is not preceeded by the aprun command will execute serially on a service (usually login) node. The login nodes are for executing general UNIX shell commands, building code, and submitting jobs intended to run on the compute nodes. The service nodes are shared by many users, so. please do not run your compute- or memory-intensive jobs on these nodes. NERSC may kill running processes that severely degrade service node performance. If your job will run for more than 5 minutes, or use more than 1 GB of memory it should not

133

PRELIMINARY Run Shutdown BL Commissioning  

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

PRELIMINARY Run Shutdown BL Commissioning Maintenance AP SPEAR Down Injector Startup University Holidays Spear Down SPEAR Startup MA Sep Oct 2011 2012 MA Mar Apr May Jun Jul...

134

Introduction to the Buildings Sector Module of SEDS  

SciTech Connect

SEDS is a stochastic engineering-economics model that forecasts economy-wide energy consumption in the U.S. to 2050. It is the product of multi-laboratory collaboration among the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), Argonne National Laboratory (ANL), Lawrence Berkeley National Laboratory (LBNL), and Lumina Decision Systems. Among national energy models, SEDS is unique, as it is the only model written to explicitly incorporate uncertainty in its inputs and outputs. The primary purpose of SEDS is to estimate the impact of various US Department of Energy (DOE)R&D and policy programs on the performance and subsequent adoption rates of technologies relating to every energy consuming sector of the economy (shown below). It has previously been used to assist DOE in complying with the Government Performance and Results Act of 1993 (GPRA). The focus of LBNL research has been exclusively on develop the buildings model (SBEAM), which is capable of running as a stand-alone forecasting model, or as a part of SEDS as a whole. The full version of SEDS, containing all sectors and interaction is also called the 'integrated' version and is managed by NREL. Forecasts from SEDS are often compared to those coming from National Energy Modeling System (NEMS). The intention of this document is to present new users and developers with a general description of the purpose, functionality and structure of the buildings module within the Stochastic Energy Deployment System (SEDS). The Buildings module, which is capable of running as a standalone model, is also called the Stochastic Buildings Energy and Adoption Model (SBEAM). This document will focus exclusively on SBEAM and its interaction with other major sector modules present within SEDS. The methodologies and major assumptions employed in SBEAM will also be discussed. The organization of this report will parallel the organization of the model itself, being divided into major submodules. As the description progresses, the nature of modules will change from broad, easily understood concepts to lower-level data manipulation. Because SBEAM contains dozens of submodules and hundreds of variables, it would not be relevant or useful to describe each and every one. Rather, the investigation will focus more generally on the operations performed throughout the model. This manual is by no means a complete description of SBEAM; however it should provide the foundation for an introductory understanding of the model. The manual assumes a basic level of understating of Analytica{reg_sign}, the platform on which SEDS and SBEAM have been developed.

DeForest, Nicholas; Bonnet, Florence; Stadler, Michael; Marnay, Chris

2010-12-31T23:59:59.000Z

135

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

136

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

137

Assumptions to the Annual Energy Outlook 2002 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated

138

Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

other refinery inputs including alcohols, ethers, bioesters, other refinery inputs including alcohols, ethers, bioesters, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9). The model is created by aggregating individual refineries into one linear programmming representation for each PADD. This representation provides the marginal costs of production for a number of conventional and new petroleum products. In order to interact with other NEMS modules with different regional representations, certain PMM inputs and outputs are converted from PADD regions to other regional structures and vice versa. The linear programming results are used to determine

139

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

6, DOE/EIA- 6, DOE/EIA- M068(2006). 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. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

140

Oil shale project run summary: small retort run S-14  

DOE Green Energy (OSTI)

Retort run S-14 was a combustion run in the small retort conducted on Nov. 15-16, 1977. The charge of Anvil Points shale operated under a 50% steam - 50% air mixture. Results indicate that the broad particle size range in the packed bed increases nonuniformities in gas flow and bed retorting characteristics. Oil yield was 87%, hydrogen production amounted to 0.25 wt % of the raw shale. (DLC)

Ackerman, F.J.; Sandholtz, W.A.; Raley, J.H.; Tripp, L.J.

1979-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

Running Interactive Jobs on Dirac  

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

requests 8 cores on one node using the interactive queue (and you will run on either Tesla or Fermi nodes): % qsub -I -V -q diracint -l nodes1:ppn8 If you want to request...

142

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

143

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

144

Assumptions to the Annual Energy Outlook 2001 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Comleted Copy in PDF Format Comleted Copy in PDF Format Related Links Annual Energy Outlook 2001 Supplemental Data to the AEO 2001 NEMS Conference To Forecasting Home Page EIA Homepage Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The

145

Running Jobs Overview for Edison  

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

Overview Overview Overview Overview and Basic Description Jobs on Edison execute on one or more "compute" nodes dedicated to that job. These nodes are distinct from the shared "login" nodes that host interactive sessions and the shared "MOM" nodes that execute commands from a "batch script" that controls how the job runs. Typically, users write the batch script with a text editor and submit it to the system using the "qsub" command. The batch script contains a number of job control directives and also the "aprun" command that actually runs the program in parallel on the compute nodes. It is possible to run small, short parallel jobs interactively as described in the pages in this section. Pages in this section explain the process in more detail.

146

Running Interactive Jobs on Carver  

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

Interactive Jobs Interactive Jobs Interactive Jobs Overview There are two types of interactive jobs. The first type runs on a login node. These applications are typically pre- and post-processing jobs, data management programs, or some other type of "tool". Note that it is not possible to run any MPI application on Carver login nodes. The second type of interactive job runs on one or more Carver compute nodes. Because the only way to gain access to the compute nodes is through the batch system, these types of jobs may more accurately be called "interactive batch" jobs. The remainder of this section focuses on these types of jobs. Usage Basic usage: carver% qsub -I The above command creates an interactive shell on a compute node, in the user's home directory. As a batch job, it has default values for batch

147

Tevatron Run II Physics Projections  

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

Run II Physics Projections (Spring 2006) Run II Physics Projections (Spring 2006) Document for the P5 Committee (version 8, September 30, 2005) Electroweak Precision Measurements and Standard Model Higgs Searches W Mass Measurement: 20 - 30 MeV Projections versus Integrated Luminosity (made by CDF): eps, gif, gif (log) Extrapolated from Run Ib measurement Uncertainties assumed to scale with luminosity: Statiscal uncertainties Systematic uncertainties such as Energy and momentum scale, Hadron Recoil against W Uncertainties assumed not to scale with luminosity: W production and decay: PDFs, d(sigma_W)/d(Pt), higher order QCD/QED effects Assumed to be beween 20 MeV (dashed lines) and 30 MeV (solid lines) Top Mass Measurement: ~1.5 GeV Assumptions Channel: only lepton+jets channle considered. Uncertainties that scale with luminosity - 1 / sqrt(lum)

148

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

149

2.1E Sample Run Book  

E-Print Network (OSTI)

HEAT 1993EDL RUN 2 UTILITY-RATEs GAS-RATE RESOURCE, NATURAL-ES-E SUMMARY OF UTILITY-RATE: ELI_CTRGCHRONIC GLAZING ININP RUN 3 1993EDL RUN UTILITY-RATE: ELk'C-COST RESOURCE:

Winkelmann, F.C.

2010-01-01T23:59:59.000Z

150

Edison batch system is up and running  

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

batch system is up and running Edison batch system is up and running July 25, 2013 (0 Comments) Edison batch system is up and running. Cray benchmark team and NERSC staff have...

151

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 ...

152

Green Flash Project Runs First Prototype Successfully  

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

Facebook Find us "in the news" Home News & Publications News Center News Green Flash Project Runs First Prototype Successfully Green Flash Project Runs First...

153

Running Jobs Overview for Edison  

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

Overview Overview Overview Overview and Basic Description Jobs on Edison execute on one or more "compute" nodes dedicated to that job. These nodes are distinct from the shared "login" nodes that host interactive sessions and the shared "MOM" nodes that execute commands from a "batch script" that controls how the job runs. Typically, users write the batch script with a text editor and submit it to the system using the "qsub" command. The batch script contains a number of job control directives and also the "aprun" command that actually launches the program on to the compute nodes. It is possible to run small, short parallel jobs interactively as described in the pages in this section. Pages in this section explain the process in more detail.

154

Electricity market module: Electricity fuel dispatch submodule  

Science Conference Proceedings (OSTI)

In previous Annual Energy Outlooks (AEO), international electricity trade was represented in the National Energy Modeling System (NEMS) Electricity Market Module (EMM) modeling framework as an exogenous input. The exception to this exogenous treatment was for firm power projections, i.e., new Canadian hydroelectric model builds. The AEO95 implementation of EMM allowed Canadian hydroelectric projects to be selected in the Electricity Capacity Planning (ECP) submodule on an annual basis and otherwise addressed as any other purchased power commitments. This technical memorandum addresses modifications to the Electricity Fuel Dispatch Submodule implemented in AEO96 to enhance the treatment of international electricity trade through the representation of economy imports from Canada.

NONE

1996-06-01T23:59:59.000Z

155

Better Buildings Neighborhood Program: Run a Program  

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

Run a Program Run a Program Printable Version Share this resource Send a link to Better Buildings Neighborhood Program: Run a Program to someone by E-mail Share Better Buildings Neighborhood Program: Run a Program on Facebook Tweet about Better Buildings Neighborhood Program: Run a Program on Twitter Bookmark Better Buildings Neighborhood Program: Run a Program on Google Bookmark Better Buildings Neighborhood Program: Run a Program on Delicious Rank Better Buildings Neighborhood Program: Run a Program on Digg Find More places to share Better Buildings Neighborhood Program: Run a Program on AddThis.com... Getting Started Driving Demand Financing Workforce Development Run a Program Energy efficiency upgrade programs provide communities with many benefits. In addition to helping homeowners, businesses, and institutions save money

156

Oil shale project: large retort run summary, run L-3  

DOE Green Energy (OSTI)

In the retort run L-3, a high yield (83 to 84% of FA) was achieved using a broad particle size distribution (-30.5 cm, + 0.001 cm) with 15 to 20% of the shale larger than 15 cm. The nonuniform flow in the retort was closely predicted by the changing shape of the steam front. Steam front measurements after the run indicated that the flow distribution through the bed was little affected by the retorting and combustion processes. The technique of ignition by hot-gas-preheating worked satisfactorily; no oxygen was observed in the exit gas during the entire retort operation. The temperature of the retort front was controlled by the air flux; no runaway temperatures were encountered when making the step grade change from 18 to 36 gal/ton. The hydrogen concentration in the exit gas reached approximately 18% in the rich (36 gal/ton) shale at the bottom of the bed; this is the highest concentration seen in any of the retorting experiments. A factor-of-three change in the CO/CO/sub 2/ ratio was observed as the combustion front moved from the 18 gal/ton to 36 gal/ton shale; also, about a factor-of-two change occurred in the rate of production of CH/sub 4/, H/sub 2/ and CO.

Ackerman, F.J.; Sandholtz, W.A.; Raley, J.H.; Carley, J.F.; Tripp, L.J.; Rothman, A.J.; Campbell, J.H.

1980-03-01T23:59:59.000Z

157

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

158

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module 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-side management, 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 2004, DOE/EIA- M068(2004). 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.

159

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

160

Running Interactive Jobs on Edison  

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

Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Edison's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the debug queue. edison% qsub -I -V -q debug -l mppwidth=48 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the number of cores per node. On Edison, with 24 cores per node, the number of nodes is mppwidth/24 plus one

Note: This page contains sample records for the topic "modules nems runs" 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

Running Interactive Jobs on Hopper  

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

Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Hopper's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the interactive queue. hopper% qsub -I -V -q interactive -l mppwidth=48 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the umber of cores per node. On Hopper, with 24 cores per node, the number of nodes is mppwidth/24 plus one more if

162

Running Interactive Jobs on Edison  

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

Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Edison's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the debug queue. edison% qsub -I -V -q debug -l mppwidth=32 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the number of cores per node. On Edison, with 16 cores per node, the number of nodes is mppwidth/16 plus one

163

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

164

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

165

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

166

Caloric expenditure and substrate utilization in underwater treadmill running versus land-based treadmill running.  

E-Print Network (OSTI)

??The objective of this study is to compare the caloric expenditure and oxidative sources of underwater treadmill running and land-based treadmill running at maximal and… (more)

Schaal, Courtney

2009-01-01T23:59:59.000Z

167

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

168

Running Jobs with the UGE Batch System  

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

Jobs Jobs Running Jobs Submitting Jobs How to submit your job to the UGE. Read More » Running with Java Solutions to some of the common problems users have with running on Genepool when the JVM is part of their workflow. Read More » Batch Script Examples Sample batch scripts for Genepool/Phoebe highlighting queue selection, setting the run time and requesting large amounts of memory. Read More » Interactive Jobs How to run your workflow on the interactive nodes. Read More » Job Arrays Job arrays are a way to efficiently submit large numbers of jobs. Read More » Parallel Batch Scripts This page has examples of how to run parallel jobs on Genepool. Read More » Best Practices - and Practices to Avoid Things users should do to run jobs efficiently using UGE. Read More »

169

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 129 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the pattern in the previous year, coupled

170

Natural Gas Transmission and Distribution Module This  

Gasoline and Diesel Fuel Update (EIA)

This This page inTenTionally lefT blank 127 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through a regional interstate representative pipeline network, for both a peak (December through March) and off-peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the

171

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

172

Assumptions to the Annual Energy Outlook 2001 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIAÂ’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for

173

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

174

Assumptions to the Annual Energy Outlook 2002 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIAÂ’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for

175

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2001, DOE/EIA-M060(2001) January 2001. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

176

Assumptions to the Annual Energy Outlook 2002 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).117 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration,

177

Assumptions to the Annual Energy Outlook 2001 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration,

178

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2002, DOE/EIA-M060(2002) (Washington, DC, January 2002). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

179

EIA-Assumptions to the Annual Energy Outlook - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2007 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

180

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

182

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

183

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.

184

Comparing Computer Run Time of Building Simulation Programs  

E-Print Network (OSTI)

an approach to comparing computer run time of buildingthe purpose of comparing computer run time. Modelers shouldATIONAL L ABORATORY Comparing Computer Run Time of Building

Hong, Tianzhen

2008-01-01T23:59:59.000Z

185

SNS Run Schedule for FY 2012 | ORNL Neutron Sciences  

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

Home Facilities SNS SNS Operating Status FY 2012 Run Schedule SNS Run Schedule for FY 2012 (Oct. 2011-Sep. 2012) Printable version Excel version SNS Run Schedule...

186

EnergyPlus Run Time Analysis  

SciTech Connect

EnergyPlus is a new generation building performance simulation program offering many new modeling capabilities and more accurate performance calculations integrating building components in sub-hourly time steps. However, EnergyPlus runs much slower than the current generation simulation programs. This has become a major barrier to its widespread adoption by the industry. This paper analyzed EnergyPlus run time from comprehensive perspectives to identify key issues and challenges of speeding up EnergyPlus: studying the historical trends of EnergyPlus run time based on the advancement of computers and code improvements to EnergyPlus, comparing EnergyPlus with DOE-2 to understand and quantify the run time differences, identifying key simulation settings and model features that have significant impacts on run time, and performing code profiling to identify which EnergyPlus subroutines consume the most amount of run time. This paper provides recommendations to improve EnergyPlus run time from the modeler?s perspective and adequate computing platforms. Suggestions of software code and architecture changes to improve EnergyPlus run time based on the code profiling results are also discussed.

Hong, Tianzhen; Buhl, Fred; Haves, Philip

2008-09-20T23:59:59.000Z

187

Running against hunger | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Running against hunger | National Nuclear Security Administration Running against hunger | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Running against hunger Running against hunger Posted By Office of Public Affairs Pantex Security Police Officers Byron Logan and Randy Stokes completed their annual Run Against Hunger last week. The two officers ran and biked

188

Assumptions to the Annual Energy Outlook 2002 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2002), (Washington, DC, January 2002). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both

189

Assumptions to the Annual Energy Outlook 2001 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2001), (Washington, DC, January 2001). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both

190

PDSF Modules  

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

Modules Modules Modules Modules Approach to Managing The Environment Modules is a system which you can use to specify what software you want to use. If you want to use a particular software package loading its module will take care of the details of modifying your environment as necessary. The advantage of the modules approach is that the you are not required to explicitly specify paths for different executable versions and try to keep their related man paths and environment variables coordinated. Instead you simply "load" and "unload" specific modules to control your environment. Getting Started with Modules If you're using the standard startup files on PDSF then you're already setup for using modules. If the "module" command is not available, please

191

Assumptions to the Annual Energy Outlook 2001 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for

192

Assumptions to the Annual Energy Outlook 2002 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for

193

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module 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 2007, DOE/EIA- M068(2007). 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.

194

Running Jobs | Argonne Leadership Computing Facility  

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

Reservations Cobalt Job Control How to Queue a Job Running Jobs FAQs Queuing and Running on BG/Q Systems Data Transfer Debugging & Profiling Performance Tools & APIs Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Running Jobs Contents Job Submission Submitting a Script Job Sub-block Script Jobs Multiple Consecutive Runs within a Script Job Settings Environment Variables Script Environment Program and Argument Length Limit Job Dependencies Thread Stack Size Verbose Setting for Runjob How do I get each line of the output labeled with the MPI rank that it came from? Mapping of MPI Tasks to Cores

195

OPTIMIZATION OF RUNNING STRATEGIES BASED ON ...  

E-Print Network (OSTI)

determine his speed in order to run a given distance in the shortest time. ... based on the equation of motion and aerobic energy, to include a balance of ..... associated cost converges to the one associated with ? . The conclusion follows.

196

RHIC Polarized proton performance in run-8  

SciTech Connect

During Run-8, the Relativistic Heavy Ion Collider (RHIC) provided collisions of spin-polarized proton beams at two interaction regions. Physics data were taken with vertical orientation of the beam polarization, which in the 'Yellow' RHIC ring was significantly lower than in previous years. We present recent developments and improvements as well as the luminosity and polarization performance achieved during Run-8, and we discuss possible causes of the not as high as previously achieved polarization performance of the 'Yellow' ring.

Montag,C.; Bai, M.; MacKay, W.W.; Roser, T.; Abreu, N.; Ahrens, L.; Barton, D.; Beebe-Wang, J.; Blaskiewicz, M.; Brennan, J.M.; Brown, K.A.; Bruno, D.; Bunce, G.; Calaga, R.; Cameron, P.; Connolly, R.; D'Ottavio, T.; Drees, A.; Fedotov, A.V.; Fischer, W.; Ganetis, G.; Gardner, C.; Glenn, J.; Hayes, T.; Huang, H.; Ingrassia, P.; Kayran, D.A.; Kewisch, J.; Lee, R.C.; Lin, F.; Litvinenko, V.N.; Luccio, A.U.; Luo, Y.; Makdisi, Y.; Malitsky, N.; Marr, G.; Marusic, A.; Michnoff, R.; Morris, J.; Oerter, B.; Pilat, F.; Pile, P.; Robert-Demolaize, G.; Russo, T.; Satogata, T.; Schultheiss, C.; Sivertz, M.; Smith, K.; Tepikian, S.; D. Trbojevic, D.; Tsoupas, N.; Tuozzolo, J.; Zaltsman, A.; Zelenski, A.; Zeno, K.; Zhang, S.Y.

2008-10-06T23:59:59.000Z

197

On the running of the gravitational constant  

E-Print Network (OSTI)

We show that there is no useful and universal definition of a running gravitational constant, G(E), in the perturbative regime below the Planck scale. By consideration of the loop corrections to several physical processes, we show that the quantum corrections vary greatly, in both magnitude and sign, and do not exhibit the required properties of a running coupling constant. We comment on the potential challenges of these results for the Asymptotic Safety program.

Mohamed M. Anber; John F. Donoghue

2011-11-11T23:59:59.000Z

198

On the running of the gravitational constant  

E-Print Network (OSTI)

We show that there is no useful and universal definition of a running gravitational constant, G(E), in the perturbative regime below the Planck scale. By consideration of the loop corrections to several physical processes, we show that the quantum corrections vary greatly, in both magnitude and sign, and do not exhibit the required properties of a running coupling constant. We comment on the potential challenges of these results for the Asymptotic Safety program.

Anber, Mohamed M

2011-01-01T23:59:59.000Z

199

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

200

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

202

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

203

Compare 100 GeV/n Au Run 2010 with Run 2007  

Science Conference Proceedings (OSTI)

With the very successful commissioning of the vertical stochastic cooling in 100 GeV/n Au Run 2010, the IBS (intra-beam scattering) is no longer the dominant factor in terms of the integrated luminosity. A new luminosity model is needed, where the beam intensity lifetime is more important and the burn-off needs to be accounted for. Toward this goal, a brief review of the Run 2010, compared with Run 2007, is presented.

Zhang, S.Y.

2011-01-01T23:59:59.000Z

204

EIA-Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2007 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS25 data.

205

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

206

EIA-Assumptions to the Annual Energy Outlook - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2007 Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

207

SunRun Inc | Open Energy Information  

Open Energy Info (EERE)

SunRun Inc SunRun Inc Jump to: navigation, search Name SunRun Inc Address 717 Market Street Place San Francisco, California Zip 94103 Sector Solar Product Solar installer Website http://www.sunrunhome.com/ Coordinates 37.7871306°, -122.4041075° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7871306,"lon":-122.4041075,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

208

How to Run DomainParser  

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

Run DomainParser Run DomainParser The structure for partition needs to be prepared in the PDB format. In most cases, running DomainParser using defaults should give satisfactory partitions. However, several options offered in DomainParser can provide a partition that a user desires or correct some overcut/undercut partitions. Here, we use a PDB file 1atna.pdb as an example to show how to use the DomainParser program. Run DomainParser using defaults: domainparser 1atna.pdb The output shows the partition for each domain in terms of ranges of residue numbers: 4 domains have been found for 1atna: Domain 1 : 34-96. Domain 2 : 181-272. Domain 3 : 148-180; 273-336. Domain 4 : 0-33; 97-147; 337-372. The program also generates a new file 1atna_dom.pdb, with the "temperature factor" column (column 61-66 of an "ATOM" entry) showing domain numbers. A

209

BEAM SCRUBBING FOR RHIC POLARIZED PROTON RUN.  

SciTech Connect

One of the intensity limiting factor of RHIC polarized proton beam is the electron cloud induced pressure rise. A beam scrubbing study shows that with a reasonable period of time of running high intensity 112-bunch proton beam, the pressure rise can be reduced, allowing higher beam intensity.

ZHANG,S.Y.FISCHER,W.HUANG,H.ROSER,T.

2004-07-05T23:59:59.000Z

210

B PHYSICS AT THE TEVATRON RUN II.  

SciTech Connect

We present the B physics results from the CDF and D0 experiments at the Tevatron Run II at Fermilab and their future prospect. This includes various B mass and lifetime measurements, B mixing, the confirmation of the discovery of the X particle, rare decays, CP violation, and spectroscopy.

YIP,K.

2004-03-27T23:59:59.000Z

211

The D0 run II trigger system  

Science Conference Proceedings (OSTI)

The D0 detector at the Fermilab Tevatron was upgraded for Run II. This upgrade included improvements to the trigger system in order to be able to handle the increased Tevatron luminosity and higher bunch crossing rates compared to Run I. The D0 Run II trigger is a highly exible system to select events to be written to tape from an initial interaction rate of about 2.5 MHz. This is done in a three-tier pipelined, buffered system. The first tier (level 1) processes fast detector pick-off signals in a hardware/firmware based system to reduce the event rate to about 1. 5kHz. The second tier (level 2) uses information from level 1 and forms simple Physics objects to reduce the rate to about 850 Hz. The third tier (level 3) uses full detector readout and event reconstruction on a filter farm to reduce the rate to 20-30 Hz. The D0 trigger menu contains a wide variety of triggers. While the emphasis is on triggering on generic lepton and jet final states, there are also trigger terms for specific final state signatures. In this document we describe the D0 trigger system as it was implemented and is currently operating in Run II.

Schwienhorst, Reinhard; /Michigan State U.

2004-11-01T23:59:59.000Z

212

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

213

Module Configuration  

SciTech Connect

A stand alone battery module including: (a) a mechanical configuration; (b) a thermal management configuration; (c) an electrical connection configuration; and (d) an electronics configuration. Such a module is fully interchangeable in a battery pack assembly, mechanically, from the thermal management point of view, and electrically. With the same hardware, the module can accommodate different cell sizes and, therefore, can easily have different capacities. The module structure is designed to accommodate the electronics monitoring, protection, and printed wiring assembly boards (PWAs), as well as to allow airflow through the module. A plurality of modules may easily be connected together to form a battery pack. The parts of the module are designed to facilitate their manufacture and assembly.

Oweis, Salah (Ellicott City, MD); D' Ussel, Louis (Bordeaux, FR); Chagnon, Guy (Cockeysville, MD); Zuhowski, Michael (Annapolis, MD); Sack, Tim (Cockeysville, MD); Laucournet, Gaullume (Paris, FR); Jackson, Edward J. (Taneytown, MD)

2002-06-04T23:59:59.000Z

214

Commissioning Run of the CRESST-II Dark Matter Search  

E-Print Network (OSTI)

The CRESST cryogenic direct dark matter search at Gran Sasso, searching for WIMPs via nuclear recoil, has been upgraded to CRESST-II by several changes and improvements.We present the results of a commissioning run carried out in 2007. The basic element of CRESST-II is a detector module consisting of a large (~ 300 g) CaWO_4 crystal and a very sensitive smaller (~ 2 g) light detector to detect the scintillation light from the CaWO_4.Information from light-quenching factor studies allows the definition of a region of the energy-light yield plane which corresponds to tungsten recoils. A neutron test is reported which supports the principle of using the light yield to identify the recoiling nucleus. Data obtained with two detector modules for a total exposure of 48 kg-days are presented. Judging by the rate of events in the "all nuclear recoils" acceptance region the apparatus shows a factor ~ten improvement with respect to previous results, which we attribute principally to the presence of the neutron shield. In the "tungsten recoils" acceptance region three events are found, corresponding to a rate of 0.063 per kg-day. Standard assumptions on the dark matter flux, coherent or spin independent interactions,then yield a limit for WIMP-nucleon scattering of 4.8 \\times 10^{-7}pb, at M{WIMP} ~50 GeV.

G. Angloher; M. Bauer; I. Bavykina; A. Bento; A. Brown; C. Bucci; C. Ciemniak; C. Coppi; G. Deuter; F. von Feilitzsch; D. Hauff; S. Henry; P. Huff; J. Imber; S. Ingleby; C. Isaila; J. Jochum; M. Kiefer; M. Kimmerle; H. Kraus; J. -C. Lanfranchi; R. F. Lang; B. Majorovits; M. Malek; R. McGowan; V. B. Mikhailik; E. Pantic; F. Petricca; S. Pfister; W. Potzel; F. Proebst; W. Rau; S. Roth; K. Rottler; C. Sailer; K. Schaeffner; J. Schmaler; S. Scholl; W. Seidel; L. Stodolsky; A. J. B. Tolhurst; I. Usherov; W. Westphal

2008-09-10T23:59:59.000Z

215

Office of Fossil Energy Continues Long-Running Minority Educational...  

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

Fossil Energy Continues Long-Running Minority Educational Research Program Office of Fossil Energy Continues Long-Running Minority Educational Research Program April 19, 2012 -...

216

DOE Solar Decathlon: News Blog » Blog Archive » Run, Dishwasher...  

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

Run, Dishwasher, Run Saturday, September 24, 2011 By Alexis Powers The typical college student does about two loads of laundry a week. However, the student decathletes must go...

217

Assumptions to the Annual Energy Outlook 1999 - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

commercial.gif (5196 bytes) commercial.gif (5196 bytes) The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2020. The definition of the commercial sector is consistent with EIAÂ’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings, however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

218

Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal.gif (4423 bytes) coal.gif (4423 bytes) The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Model Documentation: Coal Market Module of the National Energy Modeling System, DOE/EIA-MO60. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

219

Assumptions to the Annual Energy Outlook 2000 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The energy-intensive industries are modeled through the use of a detailed process flow accounting procedure, whereas the nonenergy-intensive and the nonmanufacturing industries are modeled with substantially less detail (Table 14). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated by using the SEDS24 data.

220

The Physics Case for Extended Tevatron Running  

SciTech Connect

Run II of the Tevatron collider at Fermilab is currently scheduled to end late in 2011. Given the current performance of the collider and of the CDF and D0 detectors, it is estimated that the current data set could be approximately doubled with a run extended into 2014. A few examples are presented of the physics potential of these additional statistics. These are discussed in the context of the expected reach of the LHC 7 TeV data and the existing Tevatron data. In particular, an extraordinary opportunity is described which could probe the existence of a standard model Higgs boson with mass in the currently preferred region between 115 GeV and 150 GeV.

Wood, Darien R.

2010-11-01T23:59:59.000Z

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


221

EIA-Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2007 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, and bioesters), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

222

EIA-Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2007 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

223

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

224

Comparison of CAISO-run Plexos output with LLNL-run Plexos output  

SciTech Connect

In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.

Schmidt, A; Meyers, C; Smith, S

2011-12-20T23:59:59.000Z

225

Comparing Computer Run Time of Building Simulation Programs  

SciTech Connect

This paper presents an approach to comparing computer run time of building simulation programs. The computing run time of a simulation program depends on several key factors, including the calculation algorithm and modeling capabilities of the program, the run period, the simulation time step, the complexity of the energy models, the run control settings, and the software and hardware configurations of the computer that is used to make the simulation runs. To demonstrate the approach, simulation runs are performed for several representative DOE-2.1E and EnergyPlus energy models. The computer run time of these energy models are then compared and analyzed.

Hong, Tianzhen; Buhl, Fred; Haves, Philip; Selkowitz, Stephen; Wetter, Michael

2008-07-23T23:59:59.000Z

226

Module Handbook Specialisation Photovoltaics  

E-Print Network (OSTI)

#12;Specialisation Photovoltaics, University of Northumbria Module 1/Photovoltaics: PHOTOVOLTAIC CELL AND MODULE TECHNOLOGY Module name: PHOTOVOLTAIC CELL AND MODULE TECHNOLOGY Section EUREC · Chemistry · Physics Target learning outcomes The module Photovoltaic Cell and Module Technology teaches

Habel, Annegret

227

Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumption to the Annual Energy Outlook Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).109 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

228

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

229

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumption to the Annual Energy Outlook Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2004, DOE/EIA-M060(2004) (Washington, DC, 2004). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

230

Entropy signature of the running cosmological constant  

E-Print Network (OSTI)

Renormalization group (RG) improved cosmologies based upon a RG trajectory of Quantum Einstein Gravity (QEG) with realistic parameter values are investigated using a system of cosmological evolution equations which allows for an unrestricted energy exchange between the vacuum and the matter sector. It is demonstrated that the scale dependence of the gravitational parameters, the cosmological constant in particular, leads to an entropy production in the matter system. The picture emerges that the Universe started out from a state of vanishing entropy, and that the radiation entropy observed today is essentially due to the coarse graining (RG flow) in the quantum gravity sector which is related to the expansion of the Universe. Furthermore, the RG improved field equations are shown to possess solutions with an epoch of power law inflation immediately after the initial singularity. The inflation is driven by the cosmological constant and ends automatically once the RG running has reduced the vacuum energy to the...

Bonanno, Alfio

2007-01-01T23:59:59.000Z

231

LHC Computing: The First Run and Beyond  

SciTech Connect

Even in between the last two generations of high energy physics detectors there has been a tremendous amount of progress in the area of computing. The distributed computing systems used in the LHC are composed of large-scale facilities on 5 continents, executing over a million processing requests a day, and moving peta-bytes of data a month. In this presentation I will discuss the operational experience of the LHC experiments and the challenges faced in the first run. I will discuss how the techniques have evolved and I will cover future projects to improve the distributed computing infrastructure and services. I will close by speaking of some potential new technologies being explored.

Fisk, Ian [Michigan State Univeristy

2012-10-10T23:59:59.000Z

232

ATLAS Trigger Performance and Initial Running  

E-Print Network (OSTI)

An efficient trigger will be crucial to charged Higgs boson searches at the LHC. The ATLAS trigger will need to achieve a rejection factor of about 10^7 against random proton-proton collisions, and still be able to efficiently select signal events. Commissioning of the ATLAS trigger is progressing well, and much has already been done using cosmic rays and by replaying simulated physics events through the system. Detailed plans have been developed for commissioning with single LHC beams and the first collisions. The evolution of the ATLAS trigger towards stable running will be discussed in view of the searches for the charged Higgs boson. In particular, the determination of the trigger efficiency will be discussed, both in the case of the inclusive lepton triggers and the combined triggers needed for charged Higgs boson searches.

Winklmeier, F

2008-01-01T23:59:59.000Z

233

Running Line-Haul Trucks on Ethanol  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

I I magine driving a 55,000-pound tractor- trailer that runs on corn! If you find it difficult to imagine, you can ask the truck drivers for Archer Daniels Midland (ADM) what it's like. For the past 4 years, they have been piloting four trucks powered by ethyl alcohol, or "ethanol," derived from corn. Several advantages to operating trucks on ethanol rather than on conventional petro- leum diesel fuel present themselves. Because ethanol can be produced domestically, unlike most of our petroleum supply, the price and supply of ethanol is not subject to the whims of potentially unstable foreign governments. And domestic production translates into domestic jobs. In addition, ethanol has the potential to reduce harmful emissions, such as particulate matter and oxides of nitrogen

234

SRS Recovery Act Completes Major Lower Three Runs Project Cleanup |  

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

SRS Recovery Act Completes Major Lower Three Runs Project Cleanup SRS Recovery Act Completes Major Lower Three Runs Project Cleanup SRS Recovery Act Completes Major Lower Three Runs Project Cleanup American Recovery and Reinvestment Act can now claim that 85 percent of the Savannah River Site (SRS) has been cleaned up with the recent completion of the Lower Three Runs (stream) Project. Twenty miles long, Lower Three Runs leaves the main body of the 310-square mile site and runs through parts of Barnwell and Allendale Counties until it flows into the Savannah River. Government property on both sides of the stream acts as a buffer as it runs through privately-owned property. Completing this project reduces the site's footprint by another 10 percent. SRS Recovery Act Completes Major Lower Three Runs Project Cleanup More Documents & Publications

235

SRS Recovery Act Completes Major Lower Three Runs Project Cleanup |  

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

SRS Recovery Act Completes Major Lower Three Runs Project Cleanup SRS Recovery Act Completes Major Lower Three Runs Project Cleanup SRS Recovery Act Completes Major Lower Three Runs Project Cleanup American Recovery and Reinvestment Act can now claim that 85 percent of the Savannah River Site (SRS) has been cleaned up with the recent completion of the Lower Three Runs (stream) Project. Twenty miles long, Lower Three Runs leaves the main body of the 310-square mile site and runs through parts of Barnwell and Allendale Counties until it flows into the Savannah River. Government property on both sides of the stream acts as a buffer as it runs through privately-owned property. Completing this project reduces the site's footprint by another 10 percent. SRS Recovery Act Completes Major Lower Three Runs Project Cleanup More Documents & Publications

236

Cloud Coverage in the Joint OSSE Nature Run  

Science Conference Proceedings (OSTI)

A successful observing system simulation experiment (OSSE) is fundamentally dependent on the simulation of the global observing system used in the experiment. In many applications, a free-running numerical model simulation, called a nature run, is ...

Will McCarty; Ronald M. Errico; Ronald Gelaro

2012-06-01T23:59:59.000Z

237

TianRun UILK LLC | Open Energy Information  

Open Energy Info (EERE)

search Name TianRun UILK LLC Place Minnesota Sector Wind energy Product Minnesota-based joint venture formed by TianRun USA, Horizon Wind, and Dakota Wind to develop the UILK wind...

238

PHENIX Beam Use Proposal for RHIC Runs 5-9  

E-Print Network (OSTI)

- larized proton collisions. Building on the successes of Runs 1-4, the requested running conditions of an Aerogel Cerenkov Counter (ACC). This detector, con- sisting of 160 elements of hydrophobic aerogel

Homes, Christopher C.

239

Guided Summarization Results GOOGLE Google Inc Run ID ...  

Science Conference Proceedings (OSTI)

Page 1. Guided Summarization Results GOOGLE Google Inc Run ID: GOOGLE1 Overall Responsiveness 1.000 Overall ...

2012-02-27T23:59:59.000Z

240

Production-run software failure diagnosis via hardware performance counters  

Science Conference Proceedings (OSTI)

Sequential and concurrency bugs are widespread in deployed software. They cause severe failures and huge financial loss during production runs. Tools that diagnose production-run failures with low overhead are needed. The state-of-the-art diagnosis techniques ... Keywords: concurrency bugs, failure diagnosis, performance counters, production run

Joy Arulraj; Po-Chun Chang; Guoliang Jin; Shan Lu

2013-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

Designs of control charts with supplementary runs rules  

Science Conference Proceedings (OSTI)

This article studies the designs of the control charts with the supplementary runs rules (zone rules). It also investigates, compares and ranks 15 resultant control charts based on steady-state Average Run Length (ARL) that is evaluated by computer simulation. ... Keywords: Computer simulation, Control charts, Optimization design, Quality control, Runs rules

Sheng Zhang; Zhang Wu

2005-08-01T23:59:59.000Z

242

Long-run marginal costs lower than average costs  

SciTech Connect

The thesis of this article is that the long-run marginal costs of electricity are not always greater than the present average costs, as is often assumed. As long as short-run costs decrease with new plant additions, the long-run marginal cost is less than long-run average cost. When average costs increase with new additions, long-run marginal costs are greater than long-run average costs. The long-run marginal costs of a particular utility may be less than, equal to, or greater than its long-run average costs - even with inflation present. The way to determine which condition holds for a given utility is to estimate costs under various combinations of assumptions: probable load growth, zero load growth, and load growth greater than expected; and changes in load factor with attendant costs. Utilities that can demonstrate long-run marginal costs lower than long-run average costs should be encouraged to build plant and increase load, for the resulting productivity gains and slowing of inflation. Utilities that face long-run marginal costs greater than long-run average costs should discourage growth in sales through any available means.

Hunter, S.R.

1980-01-03T23:59:59.000Z

243

Assumptions to the Annual Energy Outlook 1999 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

petroleum.gif (4999 bytes) petroleum.gif (4999 bytes) The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below. 75

244

Thermionic modules  

DOE Patents (OSTI)

Modules of assembled microminiature thermionic converters (MTCs) having high energy-conversion efficiencies and variable operating temperatures manufactured using MEMS manufacturing techniques including chemical vapor deposition. The MTCs incorporate cathode to anode spacing of about 1 micron or less and use cathode and anode materials having work functions ranging from about 1 eV to about 3 eV. The MTCs also exhibit maximum efficiencies of just under 30%, and thousands of the devices and modules can be fabricated at modest costs.

King, Donald B. (Albuquerque, NM); Sadwick, Laurence P. (Salt Lake City, UT); Wernsman, Bernard R. (Clairton, PA)

2002-06-18T23:59:59.000Z

245

OIL PRICES AND LONG-RUN RISK  

E-Print Network (OSTI)

I show that relative levels of aggregate consumption and personal oil consumption provide an excellent proxy for oil prices, and that high oil prices predict low future aggregate consumption growth. Motivated by these facts, I add an oil consumption good to the long-run risk model of Bansal and Yaron [2004] to study the asset pricing implications of observed changes in the dynamic interaction of consumption and oil prices. Empirically I observe that, compared to the first half of my 1987- 2010 sample, oil consumption growth in the last 10 years is unresponsive to levels of oil prices, creating an decrease in the mean-reversion of oil prices, and an increase in the persistence of oil price shocks. The model implies that the change in the dynamics of oil consumption generates increased systematic risk from oil price shocks due to their increased persistence. However, persistent oil prices also act as a counterweight for shocks to expected consumption growth, with high expected growth creating high expectations of future oil prices which in turn slow down growth. The combined effect is to reduce overall consumption risk and lower the equity premium. The model also predicts that these changes affect the riskiness of of oil futures contracts, and combine to create a hump shaped

Robert Ready; Robert Clayton Ready; Robert Clayton Ready; Amir Yaron

2011-01-01T23:59:59.000Z

246

PDSF FAQ - Why don't my jobs run?  

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

don't my don't my jobs run? Why don't my jobs run? If your jobs are just sitting in the "qw" state and not starting you cannot ask SGE directly why they aren't running (that service is turned off for scalability) so you have to do some detective work. Things to consider include: - Is the cluster full? Maybe you just need to be patient, especially if your project doesn't have any shares. In that case your jobs won't run until the cluster isn't full. In any event your jobs can't run until some other jobs finish and sometimes there are a lot of relatively long jobs running. - Check your job's resource requirements. It might be that you are incorrectly specifying some resource or requesting something that is not available. For example you might be specifying "-l eliza18io=1" and

247

SSRL_2003_Run_Sched.xls  

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

26/02 26/02 Run Shutdown Weekends Maintenance / AP Injector Startup University Holidays PPS Certification Injector / SPEAR Startup SLAC Closed Edited - Robleto, Scott 10 11 12 AP 13 14 12 AP MA/AP 13 14 15 8 9 7 3 L A 11 12 8 9 I S N 30 11 O 12 13 14 18 A I T 31 29 2002 2003 1 2 3 13 4 2002 2003 1 2 3 4 25 26 29 30 28 30 5 6 5 6 8 9 22 16 17 15 16 N 23 24 25 5 17 18 19 Startup 23 24 23 22 21 1 2 3 MA/AP 10 4 5 AP 6 7 8 9 20 22 18 24 24 17 22 23 20 21 14 15 11 16 10 12 9 13 7 8 S T A 1 2 3 15 4 5 5 6 8 6 4 5 R T 8 1 7 6 7 U P 2 3 10 9 10 9 11 12 13 14 15 16 17 31 24 25 26 27 30 18 19 28 29 20 21 22 23 18 11 12 13 14 15 16 17 29 30 23 24 25 26 27 28 19 20 21 22 1 2 3 4 31 25 26 27 28 29 30 19 6 7 8 9 10 11 12 13 31 25 26 27 28 29 14 15 16 20 17 18 19 25 26 27 28 1 2 3 4 5 6 7 30 31 21 15 16 13 14 10 27 28 26 22 23 24 25 8 9 10 21 20 10 1 2 3 4 5 6 7 7 8 9 10 11 12 22 23 15 16 21 8 9 10 5 6 7 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 5 6 7 8 9 10 11 12 15 22 23 16 17 18 19 26 27 28 30 25 24 20 21 23 24 14 1 2 3 4 15 16 29 30 31 29 31 28 20 28 21 22 23 24 25 17 26 27 18 19 20 24

248

FY2003 Run Sched.xls  

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

7/16/02 7/16/02 Run Maint/AP PPS Certification SLAC Closed Shutdown Startup Weekends University Holidays AP AP 15 8 9 10 11 12 14 12 AP MA/AP 7 3 L A 11 12 8 9 I 7 8 9 T S N 30 11 O 12 13 14 18 A I Edited by J. Robleto, B. Scott 31 29 2002 2003 1 2 3 N 13 4 2002 2003 1 2 3 29 30 31 10 5 6 5 6 7 8 9 22 23 MA/AP AP A E 5 17 18 19 10 11 12 9 MA/AP 18 Startup 24 23 22 21 16 17 15 1 2 3 15 10 4 5 AP 5 6 16 13 20 21 20 22 23 24 24 16 17 13 14 5 6 7 8 4 5 1 2 3 6 4 5 1 2 3 8 9 7 6 7 10 8 9 10 11 12 13 14 15 16 17 31 24 25 26 27 30 18 19 28 29 20 21 22 23 S T A R T U P 18 11 12 13 14 15 16 17 29 30 23 24 25 26 27 28 19 20 21 22 1 2 3 4 31 25 26 27 28 29 30 19 6 7 8 9 10 11 12 13 30 31 25 26 27 28 29 22 23 13 14 15 16 20 17 18 19 25 26 27 28 1 2 3 4 5 6 7 30 31 24 25 26 27 28 29 15 16 13 14 10 25 17 18 19 20 22 21 29 22 23 24 25 27 28 26 21 19 20 7 8 9 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 22 23 15 16 21 25 17 18 19 20 24 4 8 9 10 5 6 7 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 5 6 7 8 9 10 11 12 15 22 23 16 17 18 19 26 27 28 30 25 24 20 21 23 24 14 1 2 3 4 28 21 22 23 24 25 26 15 16 29 30 31 26 27 28

249

Big Run, Pennsylvania: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Congressional Districts by Places. Retrieved from "http:en.openei.orgwindex.php?titleBigRun,Pennsylvania&oldid227772" Categories: Places Stubs Cities What links here...

250

First Mira Runs Break New Ground with Turbulence Simulations...  

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

First Mira Runs Break New Ground with Turbulence Simulations July 16, 2013 Printer-friendly version Shortly after Mira, the ALCF's new 10-petaflops supercomputer, entered...

251

Predicting Baseball Home Run Records Using Exponential Frequency Distributions  

E-Print Network (OSTI)

A new model, which uses the frequency of individuals' annual home run totals, is employed to predict future home run totals and records in Major League Baseball. Complete home run frequency data from 1903--2005 is analyzed, resulting in annual exponential distributions whose changes can be a used as a measure of progression in the sport and serve as a basis against which record-setting performances can be compared. We show that there is an 80% chance that Barry Bonds' current 73 home run record will be broken in the next 10 years, despite the longevity of previous records held by baseball legends Babe Ruth and Roger Marris.

Kelley, D J; Phillips, J A

2006-01-01T23:59:59.000Z

252

SARA Cadets and Midshipmen Hit the Ground Running | National...  

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

SARA Cadets and Midshipmen Hit the Ground Running | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy...

253

Photovoltaic module and module arrays  

DOE Patents (OSTI)

A photovoltaic (PV) module including a PV device and a frame. The PV device has a PV laminate defining a perimeter and a major plane. The frame is assembled to and encases the laminate perimeter, and includes leading, trailing, and side frame members, and an arm that forms a support face opposite the laminate. The support face is adapted for placement against a horizontal installation surface, to support and orient the laminate in a non-parallel or tilted arrangement. Upon final assembly, the laminate and the frame combine to define a unitary structure. The frame can orient the laminate at an angle in the range of 3.degree.-7.degree. from horizontal, and can be entirely formed of a polymeric material. Optionally, the arm incorporates integral feature(s) that facilitate interconnection with corresponding features of a second, identically formed PV module.

Botkin, Jonathan (El Cerrito, CA); Graves, Simon (Berkeley, CA); Lenox, Carl J. S. (Oakland, CA); Culligan, Matthew (Berkeley, CA); Danning, Matt (Oakland, CA)

2012-07-17T23:59:59.000Z

254

Assumptions to the Annual Energy Outlook 1999 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

renewable.gif (4875 bytes) renewable.gif (4875 bytes) The NEMS Renewable Fuels Module (RFM) consists of five distinct submodules that represent the major renewable energy technologies. Although it is described here, conventional hydroelectric is included in the Electricity Market Module (EMM) and is not part of the RFM. Similarly, ethanol modeling is included in the Petroleum Market Module (PMM). Some renewables, such as municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not require the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using wind, solar, and geothermal energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittence, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

255

Run_HistoryStatistics_4_plots.xls  

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

0 35.0 55.0 75.0 95.0 115.0 135.0 155.0 175.0 195.0 215.0 235.0 255.0 275.0 295.0 315.0 Hours Run Number APS Run History Operational Statistics Average Fill Duration Without a...

256

scriptEnv - loading modules before starting a script  

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

scriptEnv - loading modules before starting a script scriptEnv - loading modules before starting a script scriptEnv - loading modules before starting a script In some cases a script needs to load modules before the script can be executed, but it can often be inconvenient or impossible to provide wrapper scripts which load the needed modules. CGI scripts on the gpweb resources or in the NERSC portal environment which require the genepool-specific python/perl/R or databases configuration modules are a strong example of this. NERSC provides the scriptEnv as a custom drop-in replacement for /usr/bin/env. scriptEnv loads your selected modules to allow your scripts to run easily and reproducibly. After constructing your scriptEnv, you only need replace the shebang line of your script to use your custom scriptEnv

257

SRS Recovery Act Completes Major Lower Three Runs Project Cleanup  

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

August 14, 2012 August 14, 2012 AIKEN, S.C. - American Recovery and Reinvestment Act can now claim that 85 percent of the Savannah River Site (SRS) has been cleaned up with the recent completion of the Lower Three Runs (stream) Project. Twenty miles long, Lower Three Runs leaves the main body of the 310-square mile site and runs through parts of Barnwell and Allendale Coun- ties until it flows into the Savannah River. Government property on both sides of the stream acts as a buffer as it runs through privately-owned property. Completing this project reduces the site's footprint by another 10 percent. "We excavated and disposed of over five million pounds of contaminated soil from three specific sites along the stream, erected miles of fence and placed over 2,000 signs in order to make Lower Three Runs safe and to reduce our site's footprint by another 10 percent," said Chris

258

Spent Fuel Drying System Test Results (Dry-Run in Preparation for Run 8)  

Science Conference Proceedings (OSTI)

The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks in the basin have been detected and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site (WHC 1995). Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL)(a)on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of a test ''dry-run'' conducted prior to the eighth and last of those tests, which was conducted on an N-Reactor outer fuel element removed from K-West canister6513U. The system used for the dry-run test was the Whole Element Furnace Testing System, described in Section 2.0, located in the Postirradiation Testing Laboratory (PTL, 327 Building). The test conditions and methodologies are given in Section 3.0. The experimental results are provided in Section 4.0 and discussed Section 5.0.

BM Oliver; GS Klinger; J Abrefah; SC Marschman; PJ MacFarlan; GA Ritter

1999-08-11T23:59:59.000Z

259

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

260

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

262

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

263

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

264

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

265

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

266

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

267

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

268

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.

269

Computing Models of CDF and D0 in Run II  

SciTech Connect

The next collider run of the Fermilab Tevatron, Run II, is scheduled for autumn of 1999. Both experiments, the Collider Detector at Fermilab (CDF) and the D0 experiment are being modified to cope with the higher luminosity and shorter bunch spacing of the Tevatron. New detector components, higher event complexity, and an increased data volume require changes from the data acquisition systems up to the analysis systems. In this paper we present a summary of the computing models of the two experiments for Run II.

Lammel, S.

1997-05-01T23:59:59.000Z

270

Instrument Front-Ends at Fermilab During Run II  

SciTech Connect

The optimization of an accelerator relies on the ability to monitor the behavior of the beam in an intelligent and timely fashion. The use of processor-driven front-ends allowed for the deployment of smart systems in the field for improved data collection and analysis during Run II. This paper describes the implementation of the two main systems used: National Instruments LabVIEW running on PCs, and WindRiver's VxWorks real-time operating system running in a VME crate processor.

Meyer, Thomas; Slimmer, David; Voy, Duane; /Fermilab

2011-07-13T23:59:59.000Z

271

Run_HistoryStatistics_4_plots.xls  

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

Scheduled Scheduled User Hours User Beam Available hours User beam Availability (%) Total Faults Mean Time to Recovery Faults Per Day of Delivered Beam Delivered Integrated Current (A-hr) Hours of Top- up Scheduled Top-up Injector Availability MTBF Run 97-7 741.9 698.2 94.1% 17 2.6 0.58 52.9 N/A N/A 41.1 Run 98-1 703.1 640.6 91.1% 21 3.0 0.79 48.7 N/A N/A 30.5 Run 98-2 714.5 656.4 91.9% 27 2.2 0.99 50.3 N/A N/A 24.3 Run 98-3 1154.2 1091.1 94.5% 28 2.3 0.62 85.1 N/A N/A 39.0 Run 98-4 1152.2 1076.9 93.5% 31 2.4 0.69 84.2 N/A N/A 34.7 Run 98-5 1093.6 987.4 90.3% 49 2.2 1.19 79.3 N/A N/A 20.2 Run 99-1 976.6 923.6 94.6% 35 1.5 0.91 75.3 N/A N/A 26.4 Run 99-2 831.2 794.9 95.6% 19 1.9 0.57 65.1 N/A N/A 41.8 Run 99-3 832.0 805.6 96.8% 31 0.9 0.92 58.5 N/A N/A 26.0 Run 99-4 1320.0 1256.2 95.2% 42 1.5 0.80 102.5 N/A N/A 29.9 Run 99-5 1024.0 970.8 94.8% 44 1.2 1.09 82.0 N/A N/A 22.1 Run 00-1 1511.0

272

TOB Module Assembly  

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

SiTracker Home Page Participating Institutions and Principal Contacts Useful Links Notes Images TOB Module Assembly and Testing Project TOB Integration Data Tracker Offline DQM LHC Fluence Calculator Total US Modules Tested Graph Total US Modules Tested Graph Total US Modules Tested Total US Modules Tested US Modules Tested Graph US Modules Tested Graph US Modules Tested US Modules Tested Rod Assembly TOB Modules on a Rod TOB Rod Insertion Installation of a TOB Rod Completed TOB Completed Tracker Outer Barrel TOB Module Assembly and Testing Project All 5208 modules of the CMS Tracker Outer Barrel were assembled and tested at two production sites in the US: the Fermi National Accelerator Laboratory and the University of California at Santa Barbara. The modules were delivered to CERN in the form of rods, with the last shipment taking

273

Hitting a Home Run for Clean Energy | Department of Energy  

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

Hitting a Home Run for Clean Energy Hitting a Home Run for Clean Energy Hitting a Home Run for Clean Energy March 12, 2012 - 11:39am Addthis John Chu John Chu Communications Specialist with the Office of Energy Efficiency and Renewable Energy Spring. With gentle breezes, blooming flowers, and warm sunshine, the season marks the beginning of fun outdoor activities-picnics, camping, hikes, and the classic American pastime-baseball. In the past five years, major league baseball teams have increasingly made strides in greening up their stadiums. Here are several examples of teams that are hitting a home run for clean energy: Cleveland Indians Progressive Field - As the first American League ballpark to use solar energy back in 2007, the stadium boasts an upper deck solar panel array. The electricity produced from its 42 solar panels is

274

Brent Run Generating Station Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Brent Run Generating Station Biomass Facility Brent Run Generating Station Biomass Facility Jump to: navigation, search Name Brent Run Generating Station Biomass Facility Facility Brent Run Generating Station Sector Biomass Facility Type Landfill Gas Location Genesee County, Michigan Coordinates 43.0777289°, -83.6773928° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.0777289,"lon":-83.6773928,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

275

Hitting a Home Run for Clean Energy | Department of Energy  

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

Hitting a Home Run for Clean Energy Hitting a Home Run for Clean Energy Hitting a Home Run for Clean Energy March 12, 2012 - 11:39am Addthis John Chu John Chu Communications Specialist with the Office of Energy Efficiency and Renewable Energy Spring. With gentle breezes, blooming flowers, and warm sunshine, the season marks the beginning of fun outdoor activities-picnics, camping, hikes, and the classic American pastime-baseball. In the past five years, major league baseball teams have increasingly made strides in greening up their stadiums. Here are several examples of teams that are hitting a home run for clean energy: Cleveland Indians Progressive Field - As the first American League ballpark to use solar energy back in 2007, the stadium boasts an upper deck solar panel array. The electricity produced from its 42 solar panels is

276

Running fermi with one-stage compressor: advantages, layout, performance  

E-Print Network (OSTI)

Running FERMI with one-stage compressor: advantages, layout,a lattice with one-stage compressor, it was thought at thetime that the two bunch compressors configuration was still

Cornacchia, M.; Craievich, P.; Di Mitri, S.; Penco, G.; Venturini, M.; Zholents, A.

2008-01-01T23:59:59.000Z

277

Early science runs prepare Sequoia for national security missions |  

National Nuclear Security Administration (NNSA)

Early science runs prepare Sequoia for national security missions | Early science runs prepare Sequoia for national security missions | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Early science runs prepare Sequoia for national ... Early science runs prepare Sequoia for national security missions Posted By Office of Public Affairs

278

Holographic fermions with running chemical potential and dipole coupling  

E-Print Network (OSTI)

We explore the properties of the holographic fermions in extremal $R$-charged black hole background with a running chemical potential, as well as the dipole coupling between fermions and the gauge field in the bulk. We find that although the running chemical potential effect the location of the Fermi surface, it does not change the type of fermions. We also study the onset of the Fermi gap and the gap effected by running chemical potential and the dipole coupling. The spectral function in the limit $\\omega\\rightarrow0$ and the existence of the Fermi liquid are also investigated. The running chemical potential and the dipole coupling altogether can make a non-Fermi liquid become the Landau-Fermi type.

Li Qing Fang; Xian-Hui Ge; Xiao-Mei Kuang

2013-04-28T23:59:59.000Z

279

Using Dynamic Tracing Sampling to Measure Long Running Programs  

Science Conference Proceedings (OSTI)

Detailed cache simulation can be useful to both system developers and application writers to understand an application's performance. However, measuring long running programs can be extremely slow. In this paper we present a technique to use dynamic ...

Jeffrey Odom; Jeffrey K. Hollingsworth; Luiz DeRose; Kattamuri Ekanadham; Simone Sbaraglia

2005-11-01T23:59:59.000Z

280

Summary of June 2 Step-up Transformer Experiment Run  

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

ANLHEPWF Note 184 June 3, 1999 Summary of June 2 Step-up Transformer Experiment Run Wei Gai for AWA group Purpose: To verify efficient Wakefield energy coupling from stage I to...

Note: This page contains sample records for the topic "modules nems runs" 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

Estimation of run times in a freight rail transportation network  

E-Print Network (OSTI)

The objective of this thesis is to improve the accuracy of individual freight train run time predictions defined as the time between departure from an origin node to arrival at a destination node not including yard time. ...

Bonsra, Kunal (Kunal Baldev)

2012-01-01T23:59:59.000Z

282

TianRun USA Inc | Open Energy Information  

Open Energy Info (EERE)

Name TianRun USA Inc. Place Minnesota Sector Wind energy Product Minnesota-based investment arm of Goldwind Science & Technology, Beijing Tianrun invested USD 3m to set up the...

283

First operational experience with the CMS Run Control System  

E-Print Network (OSTI)

The Run Control System of the Compact Muon Solenoid (CMS) experiment at CERN's new Large Hadron Collider (LHC) controls the sub-detector and central data acquisition systems and the high-level trigger farm of the experiment. ...

Bauer, Gerry P.

284

Office of Fossil Energy Continues Long-Running Minority Educational  

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

Fossil Energy Continues Long-Running Minority Educational Fossil Energy Continues Long-Running Minority Educational Research Program Office of Fossil Energy Continues Long-Running Minority Educational Research Program April 19, 2012 - 11:41am Addthis Annie Whatley Annie Whatley Deputy Director, Office of Minority Economic Impact Editor's Note: This article is cross-posted from the Office of Fossil Energy. Four projects that will strengthen and promote U.S. energy security, scientific discovery and economic competitiveness while producing a diverse next generation of scientists and engineers have been selected as part of the Energy Department's long-running minority educational research program. The awards - presented under the Historically Black Colleges and Universities and Other Minority Institutions program - are $200,000 each

285

DOE Continues Long-Running Minority Educational Research Program |  

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

Continues Long-Running Minority Educational Research Program Continues Long-Running Minority Educational Research Program DOE Continues Long-Running Minority Educational Research Program April 19, 2012 - 1:00pm Addthis Washington, DC - Four projects that will strengthen and promote U.S. energy security, scientific discovery and economic competitiveness while producing a diverse next generation of scientists and engineers have been selected as part of the U.S. Department of Energy's (DOE) long running minority educational research program. The DOE awards - presented under the Historically Black Colleges and Universities and Other Minority Institutions (HBCU/OMIs) program - are $200,000 each for projects that will address high-performance materials for long-term fossil energy applications, such as advanced ultrasupercritical

286

Evaluation tests for photovoltaic concentrator receiver sections and modules  

DOE Green Energy (OSTI)

Sandia has developed a third-generation set of specifications for performance and reliability testing of photovoltaic concentrator modules. Several new requirements have been defined. The primary purpose of the tests is to screen new concentrator designs and new production runs for susceptibility to known failure mechanisms. Ultraviolet radiation testing of materials precedes receiver section and module performance and environmental tests. The specifications include the purpose, procedure, and requirements for each test. Recommendations for future improvements are presented.

Woodworth, J.R.; Whipple, M.L.

1992-06-01T23:59:59.000Z

287

Silicon detector upgrades for the Tevatron Run 2  

SciTech Connect

The current silicon devices being used by the D0 and CDF collaborations for the Tevatron Run 2a, which is expected to end in 2005 after accumulating about 2 fb{sup -1} of data, will need to be replaced due to radiation damage for the following data collection period designated as Run 2b. We will discuss these silicon replacement plans, the more uniform design of the detectors between D0 and CDF, and the current status of their fabrication.

M. Kruse

2002-10-25T23:59:59.000Z

288

Pomeron fan diagrams with an infrared cutoff and running coupling  

E-Print Network (OSTI)

By direct numerical calculations the influence of a physically relevant infrared cutoff and running coupling on the gluon density and structure function of a large nucleus is studied in the perturbative QCD approach. It is found that the infrared cutoff changes the solutions very little. Running of the coupling produces a bigger change, considerably lowering both the saturation momentum and values of the structure functions.

M. A. Braun

2003-08-29T23:59:59.000Z

289

EIA - Assumptions to the Annual Energy Outlook 2008 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2008 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2008, DOE/EIA-M060(2008) (Washington, DC, 2008). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

290

EIA-Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2007 Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2007, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

291

EIA - Assumptions to the Annual Energy Outlook 2010 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2010 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2010, DOE/EIA-M060(2010) (Washington, DC, 2010). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs.

292

Ballasted photovoltaic module and module arrays  

DOE Patents (OSTI)

A photovoltaic (PV) module assembly including a PV module and a ballast tray. The PV module includes a PV device and a frame. A PV laminate is assembled to the frame, and the frame includes an arm. The ballast tray is adapted for containing ballast and is removably associated with the PV module in a ballasting state where the tray is vertically under the PV laminate and vertically over the arm to impede overt displacement of the PV module. The PV module assembly can be installed to a flat commercial rooftop, with the PV module and the ballast tray both resting upon the rooftop. In some embodiments, the ballasting state includes corresponding surfaces of the arm and the tray being spaced from one another under normal (low or no wind) conditions, such that the frame is not continuously subjected to a weight of the tray.

Botkin, Jonathan (El Cerrito, CA); Graves, Simon (Berkeley, CA); Danning, Matt (Oakland, CA)

2011-11-29T23:59:59.000Z

293

Running Dry at the Power Plant | Department of Energy  

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

Running Dry at the Power Plant Running Dry at the Power Plant Running Dry at the Power Plant Securing sufficient supplies of fresh water for societal, industrial, and agricultural uses while protecting the natural environment is becoming increasingly difficult in many parts of the United States. Climate variability and change may exacerbate the situation through hotter weather and disrupted precipitation patterns that promote regional droughts. Achieving long- term water sustainability will require balancing competing needs effectively, managing water resources more holistically, and developing innovative approaches to water use and conserva- tion. Utility companies-which use substantial amounts of water for plant cooling and other needs-are doing their part by pursuing water-conserving

294

Boise Buses Running Strong with Clean Cities | Department of Energy  

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

Boise Buses Running Strong with Clean Cities Boise Buses Running Strong with Clean Cities Boise Buses Running Strong with Clean Cities May 28, 2013 - 12:05pm Addthis Working with Republic Services, the city of Boise and Valley Regional Transit, Treasure Valley Clean Cities built four compressed natural gas (CNG) fueling stations that allowed all three organizations to transition to CNG vehicles. | Photo courtesy of Valley Regional Transit. Working with Republic Services, the city of Boise and Valley Regional Transit, Treasure Valley Clean Cities built four compressed natural gas (CNG) fueling stations that allowed all three organizations to transition to CNG vehicles. | Photo courtesy of Valley Regional Transit. Shannon Brescher Shea Communications Manager, Clean Cities Program What are the key facts?

295

Mill Run Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Wind Power Project Wind Power Project Jump to: navigation, search Name Mill Run Wind Power Project Facility Mill Run Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser Exelon Location Mill Run PA Coordinates 39.921026°, -79.388666° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.921026,"lon":-79.388666,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

296

NERSC Modules Software Environment  

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

Environment » Modules Environment Environment » Modules Environment Modules Software Environment NERSC uses the module utility to manage nearly all software. There are two huge advantages of the module approach: NERSC can provide many different versions and/or installations of a single software package on a given machine, including a default version as well as several older and newer versions; and Users can easily switch to different versions or installations without having to explicitly specify different paths. With modules, the MANPATH and related environment variables are automatically managed. Users simply ``load'' and ``unload'' modules to control their environment. The module utility consists of two parts: the module command itself and the modulefiles on which it operates. Module Command

297

Performance data from the ZEPLIN-III second science run  

E-Print Network (OSTI)

ZEPLIN-III is a two-phase xenon direct dark matter experiment located at the Boulby Mine (UK). After its first science run in 2008 it was upgraded with: an array of low background photomultipliers, a new anti-coincidence detector system with plastic scintillator and an improved calibration system. After 319 days of data taking the second science run ended in May 2011. In this paper we describe the instrument performance with emphasis on the position and energy reconstruction algorithm and summarise the final science results.

Majewski, P; Akimov, D Yu; Araujo, H M; Barnes, E J; Belov, V A; Burenkov, A A; Chepel, V; Currie, A; DeViveiros, L; Edwards, B; Ghag, C; Hollingsworth, A; Horn, M; Kalmus, G E; Kobyakin, A S; Kovalenko, A G; Lebedenko, V N; Lindote, A; Lopes, M I; Luscher, R; Murphy, A St J; Neves, F; Paling, S M; da Cunha, J Pinto; Preece, R; Quenby, J J; Reichhart, L; Scovell, P R; Silva, C; Smith, N J T; Stekhanov, V N; Sumner, T J; Thorne, C; Walker, R J

2011-01-01T23:59:59.000Z

298

Run-time optimization of adaptive irregular applications  

E-Print Network (OSTI)

Compared to traditional compile-time optimization, run-time optimization could o?er signi?cant performance improvements when parallelizing and optimizing adaptive irregular applications, because it performs program analysis and adaptive optimizations during program execution. Run-time techniques can succeed where static techniques fail because they exploit the characteristics of input data, programs' dynamic behaviors, and the underneath execution environment. When optimizing adaptive irregular applications for parallel execution, a common observation is that the effectiveness of the optimizing transformations depends on programs' input data and their dynamic phases. This dissertation presents a set of run-time optimization techniques that match the characteristics of programs' dynamic memory access patterns and the appropriate optimization (parallelization) transformations. First, we present a general adaptive algorithm selection framework to automatically and adaptively select at run-time the best performing, functionally equivalent algorithm for each of its execution instances. The selection process is based on off-line automatically generated prediction models and characteristics (collected and analyzed dynamically) of the algorithm's input data, In this dissertation, we specialize this framework for automatic selection of reduction algorithms. In this research, we have identi?ed a small set of machine independent high-level characterization parameters and then we deployed an off-line, systematic experiment process to generate prediction models. These models, in turn, match the parameters to the best optimization transformations for a given machine. The technique has been evaluated thoroughly in terms of applications, platforms, and programs' dynamic behaviors. Speci?cally, for the reduction algorithm selection, the selected performance is within 2% of optimal performance and on average is 60% better than "Replicated Buffer," the default parallel reduction algorithm speci?ed by OpenMP standard. To reduce the overhead of speculative run-time parallelization, we have developed an adaptive run-time parallelization technique that dynamically chooses effcient shadow structures to record a program's dynamic memory access patterns for parallelization. This technique complements the original speculative run-time parallelization technique, the LRPD test, in parallelizing loops with sparse memory accesses. The techniques presented in this dissertation have been implemented in an optimizing research compiler and can be viewed as effective building blocks for comprehensive run-time optimization systems, e.g., feedback-directed optimization systems and dynamic compilation systems.

Yu, Hao

2004-08-01T23:59:59.000Z

299

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

300

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

302

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

303

Race Fusion 5K Benefit Run/Walk  

E-Print Network (OSTI)

Race Fusion 5K Benefit Run/Walk ·This event will be held in recognition of Alex who is living already love him so much!" ­Alex Keefover Fus-ion: The process or result of joining two or more things

Mohaghegh, Shahab

304

Floodplain modeling for Paddy's Run at the DOE Fernald Site  

Science Conference Proceedings (OSTI)

The restoration work for an intermittent stream, Paddy's Run, in the boundaries of the U.S. Department of Energy (DOE) Fernald Site, Ohio, managed by Fluor Fernald, involved floodplain expansion and the installation of grade control structures. Floodplain ... Keywords: Fernald, HEC-RAS, RiverCAD, floodplain, surface water

Marek H. Zaluski; Mark A. Ewanic; Steve D. Dunstan

2007-03-01T23:59:59.000Z

305

Performance monitoring strategies for effective running of commercial refrigeration systems  

Science Conference Proceedings (OSTI)

Refrigeration systems often represent the largest electricity consumers in the supermarkets. Therefore there is a clear need for running these systems effectively. Performance monitoring uses different techniques to determine the actual system state. ... Keywords: COP, FDD, energy monitoring, performance measure, refrigeration

Martin Hrn?ár; Petr Stluka

2010-05-01T23:59:59.000Z

306

The long-run evolution of energy prices  

E-Print Network (OSTI)

I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price ...

Pindyck, Robert S.

1999-01-01T23:59:59.000Z

307

DOE-1: sample run book. [Four different bldgs  

DOE Green Energy (OSTI)

Samples of DOE-1 energy analysis runs are presented for four different buildings: a simple structure; a 31-story office building; a modified 31-story office building with a solar-heating system; and a small medical-office building. The intention is to progress from minimal to complex uses of the program. The simple structure introduces the new user to DOE-1. The large office building demonstrates runs on a variety of systems and plant options. The modified office building is a more complex treatment that illustrates the use of DOE-1 to determine energy code compliance. The medical building demonstrates a number of available options, such as simulation of shading surfaces and use of heat recovery. The following is given for each run: a simplified drawing of the building, detailed specifications, DOE-1 input, and selected output reports. The building specifications were compiled to allow the reader to relate the input to the actual physical characteristics of the architecture, distribution system, and central plant for each building. The input shown is that echoed by the program, complete with line numbers supplied by the Building Design Language processor. All of the runs were made on the Lawrence Berkeley Laboratory CDC 7600 computer using Version 1.4 of the DOE-1 (formerly Cal-ERDA) program.

Not Available

1978-01-01T23:59:59.000Z

308

Power Systems Development Facility Gasification Test Run TC11  

Science Conference Proceedings (OSTI)

This report discusses Test Campaign TC11 of the Kellogg Brown & Root, Inc. (KBR) Transport Gasifier train with a Siemens Westinghouse Power Corporation (Siemens Westinghouse) particle filter system at the Power Systems Development Facility (PSDF) located in Wilsonville, Alabama. The Transport Gasifier is an advanced circulating fluidized-bed gasifier designed to operate as either a combustor or a gasifier in air- or oxygen-blown mode of operation using a particulate control device (PCD). Test run TC11 began on April 7, 2003, with startup of the main air compressor and the lighting of the gasifier start-up burner. The Transport Gasifier operated until April 18, 2003, when a gasifier upset forced the termination of the test run. Over the course of the entire test run, gasifier temperatures varied between 1,650 and 1,800 F at pressures from 160 to 200 psig during air-blown operations and around 135 psig during enriched-air operations. Due to a restriction in the oxygen-fed lower mixing zone (LMZ), the majority of the test run featured air-blown operations.

Southern Company Services

2003-04-30T23:59:59.000Z

309

Quantifying disturbance rejection of SLIP-like running systems  

Science Conference Proceedings (OSTI)

The speed and maneuverability at which legged animals can travel across rough and cluttered landscapes has provided inspiration for the development of legged robots with similar capabilities. Researchers have developed a number of robots that can run ... Keywords: Legged robot, biologically-inspired robot, disturbance rejection, stability

Bruce Miller; John Schmitt; Jonathan E Clark

2012-04-01T23:59:59.000Z

310

Run-time validation of knowledge-based systems  

Science Conference Proceedings (OSTI)

As knowledge bases become more complex it is increasingly unlikely that they will have been validated against all possible data and therefore an increasing risk of making errors. Run-time validation is checking whether the output of a knowledge base ... Keywords: anomalies, outliers, prudence, ripple-down rules, validation

Angela Finlayson, Paul Compton

2013-06-01T23:59:59.000Z

311

EIA-Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2007 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind.112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

312

Assumptions to the Annual Energy Outlook 1999 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

oil.gif (4836 bytes) oil.gif (4836 bytes) The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(99), (Washington, DC, January 1999). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery and unconventional gas recovery from tight gas formations, gas shale, and coalbeds. Foreign gas transactions may occur via either pipeline (Canada or Mexico) or transport ships as liquefied natural gas (LNG).

313

Binary module test. Final report  

DOE Green Energy (OSTI)

The objective of this project was to design and test a binary loop module representative of and scaleable to commercial size units. The design was based on state-of-the-art heat exchanger technology, and the purpose of the tests was to confirm performance of a supercritical boiling cycle using isobutane and a mixture of isobutane and isopentane as the secondary working fluid. The module was designed as one percent of a 50 MW unit. It was installed at Magma Power's East Mesa geothermal field and tested over a period of approximately 4 months. Most of the test runs were with isobutane but some data were collected for hydrocarbon mixtures. The results of the field tests are reported. In general these results indicate reasonably good heat balances and agreement with overall heat transfer coefficients calculated by current stream analysis methods and available fluid property data; however, measured pressure drops across the heat exchangers were 20 percent higher than estimated. System operation was stable under all conditions tested.

Schilling, J.R.; Colley, T.C.; Pundyk, J.

1980-12-01T23:59:59.000Z

314

RunMC - an object-oriented analysis framework for Monte Carlo simulation of high-energy particle collisions  

E-Print Network (OSTI)

RunMC is an object-oriented framework aimed to generate and to analyse high-energy collisions of elementary particles using Monte Carlo simulations. This package, being based on C++ adopted by CERN as the main programming language for the LHC experiments, provides a common interface to different Monte Carlo models using modern physics libraries. Physics calculations (projects) can easily be loaded and saved as external modules. This simplifies the development of complicated calculations for high energy physics in large collaborations.This desktop program is open-source licensed and is available on the LINUX and Windows/Cygwin platforms.

S. Chekanov

2004-11-05T23:59:59.000Z

315

Advanced silicon photonic modulators  

E-Print Network (OSTI)

Various electrical and optical schemes used in Mach-Zehnder (MZ) silicon plasma dispersion effect modulators are explored. A rib waveguide reverse biased silicon diode modulator is designed, tested and found to operate at ...

Sorace, Cheryl M

2010-01-01T23:59:59.000Z

316

SSRL Experimental Run Schedule | Stanford Synchrotron Radiation Lightsource  

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

Experimental Run Schedule Experimental Run Schedule SLAC National Accelerator Laboratory will be closed for the winter holidays, December 21, 2013 through January 5, 2014. SSRL generally operates November through August, using the shutdown period for upgrades and maintenance projects. SSRL operates at 500mA and employs a frequent fill schedule to maintain the SPEAR3 current approximately constant. Automatic injections will be conducted every 5 minutes. Automatic injections will only occur at the designated 5 minute intervals (i.e., on the hour and every 5 minutes thereafter). If the injector is not functional at the designated fill time, then the fill will be skipped. The current will be replenished at the next scheduled fill time after the injector is repaired and normal injection intervals will resume. The operator will give

317

Dry Run, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Run, Ohio: Energy Resources Run, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.1042277°, -84.330494° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.1042277,"lon":-84.330494,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

318

Running Springs, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Running Springs, California: Energy Resources Running Springs, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.2077859°, -117.1092049° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.2077859,"lon":-117.1092049,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

319

SUMMARY OF HRE-2 RUN 13 (INITIAL POWER OPERATION)  

SciTech Connect

The first power operation of the HRE-2, referred to as Run 13, occurred in February 1958. In five days of power operation, the maximum sustained power was 1.5 Mw and the total power generated was 4B Mw-hr. During the first part of the power operation, the fuel solution contained very little internal recombination catalyst. This part of the run was characterized by high concentrations of radiolytic gas and significant loss of reactivity at very low powers. After an addition of copper and acid, reactivity losses were observed only nt higher powers. Power operation was terminated after samples showed high nickel concentrations in the fuel solution, indicating a very high stainless steel corrosion rate. Subsequent subcritical operation ended because of power wiring insulation failures. (auth)

Engel, J.R.; Haubenreich, P.N.; Hernandez-Fragoso, J.; Richardson, D.M.

1958-10-29T23:59:59.000Z

320

Modulating lignin in plants  

DOE Patents (OSTI)

Materials and methods for modulating (e.g., increasing or decreasing) lignin content in plants are disclosed. For example, nucleic acids encoding lignin-modulating polypeptides are disclosed as well as methods for using such nucleic acids to generate transgenic plants having a modulated lignin content.

Apuya, Nestor; Bobzin, Steven Craig; Okamuro, Jack; Zhang, Ke

2013-01-29T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

THE ANALYSIS OF DEPOLARIZATION FACTORS IN THE LAST RHIC RUN.  

SciTech Connect

Polarized proton beams were accelerated successfully at RHIC up to 100 Gev with the use of Siberian Snakes. Although the snakes were designed to preserve polarization, the successful acceleration and storage of polarized beams was dependent also on beam characteristics, like closed orbit, betatron tunes and even betatron coupling. The high-order spin resonances were observed and evaluated. The paper summarizes depolarizing effects observed during the run.

PTITSYN,V.LUCCIO,A.U.RANJBAR,V.H.

2002-09-09T23:59:59.000Z

322

Snowmass Benchmark Points and Three-Loop Running  

E-Print Network (OSTI)

We present the full three-loop beta-functions for the MSSM generalised to include additional matter multiplets in 5, 10 representations of SU(5). We analyse in detail the effect of three-loop running on the sparticle spectrum for the MSSM Snowmass Benchmark Points. We also consider the effect on these spectra of additional matter multiplets (the semi-perturbative unification scenario).

I. Jack; D. R. T. Jones; A. F. Kord

2004-08-10T23:59:59.000Z

323

Succinct suffix arrays based on run-length encoding  

Science Conference Proceedings (OSTI)

A succinet full-text self-index is a data structure built on a text T = t1t2...tn, which takes little space (ideally close to that of the compressed text), permits efficient search for the ... Keywords: burrows-wheeler transform, compressed full-text self-indexes, empirical k-th order entropy, indexed string matching, run-length compression, suffix arrays, text retrieval

Veli Mäkinen; Gonzalo Navarro

2005-03-01T23:59:59.000Z

324

Federal Reserve Bank of New York Staff Reports Repo Runs  

E-Print Network (OSTI)

This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Repo Runs

Antoine Martin; David Skeie; Antoine Martin; David Skeie; Ernst-ludwig Von Thadden

2010-01-01T23:59:59.000Z

325

Search for gravitational wave bursts in LIGO's third science run  

E-Print Network (OSTI)

We report on a search for gravitational wave bursts in data from the three LIGO interferometric detectors during their third science run. The search targets subsecond bursts in the frequency range 100-1100 Hz for which no waveform model is assumed, and has a sensitivity in terms of the root-sum-square (rss) strain amplitude of hrss ~ 10^{-20} / sqrt(Hz). No gravitational wave signals were detected in the 8 days of analyzed data.

LIGO Scientific Collaboration

2005-11-27T23:59:59.000Z

326

Spent fuel drying system test results (second dry-run)  

DOE Green Energy (OSTI)

The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks have been detected in the basins and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site (WHC 1995). Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL) on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of the second dry-run test, which was conducted without a fuel element. With the concurrence of project management, the test protocol for this run, and subsequent drying test runs, was modified. These modifications were made to allow for improved data correlation with drying procedures proposed under the IPS. Details of these modifications are discussed in Section 3.0.

Klinger, G.S.; Oliver, B.M.; Abrefah, J.; Marschman, S.C.; MacFarlan, P.J.; Ritter, G.A.

1998-07-01T23:59:59.000Z

327

Design and first tests of the CDF Run 2 farms  

SciTech Connect

The high energy physics experiment CDF, located in the anti-proton-proton collider at Fermilab, will write data in Run 2 at a rate of 20 MByte/s, twenty times the rate of Run 1. The offline production system must be able to handle this rate. Components of that system include a large PC farm, I/O systems to read/write data to and from mass storage, and a system to split the reconstructed data into physics streams which are required for analysis. All of the components must work together seamlessly to ensure the necessary throughput. A description will be given of the overall hardware and software design for the system. A small prototype farm has been used for about one year to study performance, to test software designs and for the first Mock Data Challenge. Results from the tests and experience from the first Mock Data Challenge will be discussed. The hardware for the first production farm is in place and will be used for the second Mock Data Challenge. Finally, the possible scaling of the system to handle larger rates foreseen later in Run 2 will be described.

Jaroslav Antos et al.

2000-05-30T23:59:59.000Z

328

Photovoltaic module with light reflecting backskin  

DOE Patents (OSTI)

A photovoltaic module comprises electrically interconnected and mutually spaced photovoltaic cells that are encapsulated by a light-transmitting encapsulant between a light-transparent front cover and a back cover, with the back cover sheet being an ionomer/nylon alloy embossed with V-shaped grooves running in at least two directions and coated with a light reflecting medium so as to provide light-reflecting facets that are aligned with the spaces between adjacent cells and oriented so as to reflect light falling in those spaces back toward said transparent front cover for further internal reflection onto the solar cells, whereby substantially all of the reflected light will be internally reflected from said cover sheet back to the photovoltaic cells, thereby increasing the current output of the module. The internal reflector improves power output by as much as 67%.

Gonsiorawski, Ronald C. (Danvers, MA)

2007-07-03T23:59:59.000Z

329

Spent fuel drying system test results (first dry-run)  

DOE Green Energy (OSTI)

The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks in the basin have been detected and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site. Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL) on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of the first dry-run test, which was conducted without a fuel element. The empty test apparatus was subjected to a combination of low- and high-temperature vacuum drying treatments that were intended to mimic, wherever possible, the fuel treatment strategies of the IPS. The data from this dry-run test can serve as a baseline for the first two fuel element tests, 1990 (Run 1) and 3128W (Run 2). The purpose of this dry-run was to establish the background levels of hydrogen in the system, and the hydrogen generation and release characteristics attributable to the test system without a fuel element present. This test also serves to establish the background levels of water in the system and the water release characteristics. The system used for the drying test series was the Whole Element Furnace Testing System, described in Section 2.0, which is located in the Postirradiation Testing Laboratory (PTL, 327 Building). The test conditions and methodology are given in section 3.0, and the experimental results provided in Section 4.0. These results are further discussed in Section 5.0.

Klinger, G.S.; Oliver, B.M.; Abrefah, J.; Marschman, S.C.; MacFarlan, P.J.; Ritter, G.A.

1998-07-01T23:59:59.000Z

330

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

331

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 ...

332

NSLS Safety Module  

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

Successful Web Training In order to run certain programs on the Web, you will need a Java enabled browser. See JAVA Issues Courses will time out after 20 minutes of inactivity....

333

The State of Supersymmetry after Run I of the LHC  

E-Print Network (OSTI)

In these lectures I survey the state of supersymmetric extensions of the Standard Model in light of data from the first run of the LHC. After assessing pre-LHC expectations based on principles of naturalness and parsimony, I review the landscape of direct and indirect search limits at the LHC, including the implications of the observed Higgs mass and couplings. Finally, I survey several broad classes of supersymmetric models that are consistent with current data and enumerate the most promising search strategies and model-building directions for the future.

Nathaniel Craig

2013-09-02T23:59:59.000Z

334

First LQCD Physics Runs with MILC and P4RHMC  

Science Conference Proceedings (OSTI)

An initial series of physics LQCD runs were submitted to the BG/L science bank with the milc and p4rhmc. Both runs were for lattice dimensions of 32{sup 2} x 8. The p4 calculation was performed with v2.0 QMP{_}MPI.X (semioptomized p4 code using qmp over mpi) and milc v7.2, also using RHMC, but not specifically optimized for BlueGene. Calculations were performed along lines of constant physics, with the light quark masses 2-3 times their physics values and the strange quark mass set by m{sub ud} = 0.1m{sub s}. Job submissions was performed using the standard milc and p4 scripts provided on the ubgl cluster. Initial thermalized lattices for each code were also provided in this way. The only modifications for running on BG/L were to the directory names and the mT parameter which determines job durations (24 hrs on BG/L vs. 4 hrs on ubgl). The milc scripts were set to resubmit themselves 10 times, and the p4 scripts were submitted serially using the ''psub -d'' job dependency option. The runp4rhmc.tcsh could not be used to resubmit due to the 30m time limit imposed on interactive jobs. Most jobs were submitted to the smallest, 512 node partitions, but both codes could also run on the 1024 node partitions with a gain of only 30-50%. The majority of jobs ran without error. Stalled jobs were often indicative of a communication gap within a partition that LC was able to fix quickly. On some occasion a zero-length lattice file was deleted to allow jobs to restart successfully. Approximately 1000 trajectories were calculated for each beta value, see Table . The analysis was performed with the standard analysis scripts for each code, make{_}summary.pl for milc and analysis.tcsh for p4rhmc. All lattices, log files, and job submission scripts have been archived to permanent storage for subsequent analysis.

Soltz, R; Gupta, R

2007-01-18T23:59:59.000Z

335

The Long-Run Evolution of Energy Prices  

E-Print Network (OSTI)

Abstract: I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price evolution, and how it should be modeled? Can models of reversion to stochastically fluctuating trend lines help us forecast prices over horizons of 20 years or more? And what do the answers to these questions tell us about investment decisions that are dependent on prices and their stochastic evolution?

Robert S. Pindyck

1999-01-01T23:59:59.000Z

336

Hybrid Run-time Power Management Technique for Realtime  

E-Print Network (OSTI)

This paper presents a new run-time power management technique for real-time embedded systems which consist of a voltage scalable processor and power controllable peripheral devices. We have observed that there exist significant trade-offs in terms of energy consumption between the Dynamic Power Management (DPM) scheme and the Dynamic Voltage Scaling (DVS) scheme over a wide range of system operating conditions. The proposed technique fully exploits workload-variation slack time by partitioning the task into several timeslots and shut down the unneeded peripheral device on timeslot-by-timeslot basis.

Minyoung Kim; Embedded System With

2001-01-01T23:59:59.000Z

337

Full core reactor analysis: Running Denovo on Jaguar  

Science Conference Proceedings (OSTI)

Fully-consistent, full-core, 3D, deterministic neutron transport simulations using the orthogonal mesh code Denovo were run on the massively parallel computing architecture Jaguar XT5. Using energy and spatial parallelization schemes, Denovo was able to efficiently scale to more than 160 k processors. Cell-homogenized cross sections were used with step-characteristics, linear-discontinuous finite element, and trilinear-discontinuous finite element spatial methods. It was determined that using the finite element methods gave considerably more accurate eigenvalue solutions for large-aspect ratio meshes than using step-characteristics. (authors)

Jarrell, J. J.; Godfrey, A. T.; Evans, T. M.; Davidson, G. G. [Oak Ridge National Laboratory, PO Box 2008, Oak Ridge, TN 37831 (United States)

2012-07-01T23:59:59.000Z

338

CMS Data Processing Workflows during an Extended Cosmic Ray Run  

Science Conference Proceedings (OSTI)

The CMS Collaboration conducted a month-long data taking exercise, the Cosmic Run At Four Tesla, during October-November 2008, with the goal of commissioning the experiment for extended operation. With all installed detector systems participating, CMS recorded 270 million cosmic ray events with the solenoid at a magnetic field strength of 3.8 T. This paper describes the data flow from the detector through the various online and offline computing systems, as well as the workflows used for recording the data, for aligning and calibrating the detector, and for analysis of the data.

Not Available

2009-11-01T23:59:59.000Z

339

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

340

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

Note: This page contains sample records for the topic "modules nems runs" 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

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

342

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

343

Cyber Security Module  

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

Cyber Security Module Cyber security training is required for all facility users and must be submitted before or upon arrival at the GUV Center. System Requirements and Information...

344

Detailed Course Module Description  

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

Course Module Description Course Module Description Module/Learning Objectives Level of Detail in Module by Audience Consumers Gen Ed/ Community College Trades 1. Energy Issues and Building Solutions High High High Learning Objectives: * Define terms of building science, ecological systems, economics of consumption * Relate building science perspective, ecology, social science * Explain historical energy and environmental issues related to buildings * Compare Site and source energy * Examine the health, safety and comfort issues in buildings * Examine the general context for building solutions (zero energy green home with durability as the goal) * Explain a basic overview of alternative energy (total solar flux) - do we have enough energy * Examine cash flow to homeowners

345

Macroeconomic Activity Module  

Annual Energy Outlook 2012 (EIA)

d022412A. U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 18 Macroeconomic Activity Module To reflect uncertainty in the projection of...

346

DOE-2 sample run book: Version 2.1E  

SciTech Connect

The DOE-2 Sample Run Book shows inputs and outputs for a variety of building and system types. The samples start with a simple structure and continue to a high-rise office building, a medical building, three small office buildings, a bar/lounge, a single-family residence, a small office building with daylighting, a single family residence with an attached sunspace, a ``parameterized`` building using input macros, and a metric input/output example. All of the samples use Chicago TRY weather. The main purpose of the Sample Run Book is instructional. It shows the relationship of LOADS-SYSTEMS-PLANT-ECONOMICS inputs, displays various input styles, and illustrates many of the basic and advanced features of the program. Many of the sample runs are preceded by a sketch of the building showing its general appearance and the zoning used in the input. In some cases we also show a 3-D rendering of the building as produced by the program DrawBDL. Descriptive material has been added as comments in the input itself. We find that a number of users have loaded these samples onto their editing systems and use them as ``templates`` for creating new inputs. Another way of using them would be to store various portions as files that can be read into the input using the {number_sign}{number_sign} include command, which is part of the Input Macro feature introduced in version DOE-2.lD. Note that the energy rate structures here are the same as in the DOE-2.lD samples, but have been rewritten using the new DOE-2.lE commands and keywords for ECONOMICS. The samples contained in this report are the same as those found on the DOE-2 release files. However, the output numbers that appear here may differ slightly from those obtained from the release files. The output on the release files can be used as a check set to compare results on your computer.

Winkelmann, F.C.; Birdsall, B.E.; Buhl, W.F.; Ellington, K.L.; Erdem, A.E. [Lawrence Berkeley Lab., CA (United States); Hirsch, J.J.; Gates, S. [Hirsch (James J.) and Associates, Camarillo, CA (United States)

1993-11-01T23:59:59.000Z

347

[HOW TO RUN THE CSD FROM A WINDOWS2000] January 28, 2009 How to run the CSD from a MS Windows 2000 (will not work with VISTA)  

E-Print Network (OSTI)

[HOW TO RUN THE CSD FROM A WINDOWS2000] January 28, 2009 How to run the CSD from a MS Windows 2000 for a terminal window to appear. The wait may be 30 to 70 seconds on some machines. 6. Use the terminal window, and shut down the X server. 12. Remove CD from drive. #12;[HOW TO RUN THE CSD FROM A WINDOWS2000] January

Meagher, Mary

348

Working with Modules within Python  

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

Working with Modules within Perl and Python Working with Modules within Perl and Python Working with Modules within Perl and Python It can often be convenient to work with the modules system from within perl or python scripts. You can do this! Using Modules within Python The EnvironmentModules python package gives access to the module system from within python. The EnvironmentModules python package has a single function: module. Using this function you can provide the same arguments you would to "module" on the command line. The module() function accepts a list of arguments, like ['load','']; or ['unload','']. >>> import EnvironmentModules as EnvMod >>> EnvMod.module(['load','blast+']) It is important to understand that this is most effective for scripts

349

Membrane module assembly  

DOE Patents (OSTI)

A membrane module assembly is described which is adapted to provide a flow path for the incoming feed stream that forces it into prolonged heat-exchanging contact with a heating or cooling mechanism. Membrane separation processes employing the module assembly are also disclosed. The assembly is particularly useful for gas separation or pervaporation. 2 figures.

Kaschemekat, J.

1994-03-15T23:59:59.000Z

350

Module Safety Issues (Presentation)  

SciTech Connect

Description of how to make PV modules so that they are less likely to turn into safety hazards. Making modules inherently safer with minimum additional cost is the preferred approach for PV. Safety starts with module design to ensure redundancy within the electrical circuitry to minimize open circuits and proper mounting instructions to prevent installation related ground faults. Module manufacturers must control the raw materials and processes to ensure that that every module is built like those qualified through the safety tests. This is the reason behind the QA task force effort to develop a 'Guideline for PV Module Manufacturing QA'. Periodic accelerated stress testing of production products is critical to validate the safety of the product. Combining safer PV modules with better systems designs is the ultimate goal. This should be especially true for PV arrays on buildings. Use of lower voltage dc circuits - AC modules, DC-DC converters. Use of arc detectors and interrupters to detect arcs and open the circuits to extinguish the arcs.

Wohlgemuth, J.

2012-02-01T23:59:59.000Z

351

The LHCb Muon detector commissioning and first running scenarios  

E-Print Network (OSTI)

The LHCb muon detector, part of the first LHCb trigger level (L0), has been built to provide a fast and efficient identification of the muons produced in pp collisions at the LHC. The expected performances are: 95% L0 trigger efficiency within a 25 ns time window and muon identification in L0 with a Pr resolution of 20%. The detector has been built using Multi-Wire Proportional Chambers and Gas Electron Multiplier technology. The chambers are arranged in five stations, interspersed with iron filter placed along the beam pipe. The results obtained in the commissioning of all the installed chambers and the measured performances are presented. The strategies foreseen for the detector calibration, the results of the space and time alignment efforts and few first running scenarios are discussed.

Furcas, S

2010-01-01T23:59:59.000Z

352

Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Pennsylvania School Pennsylvania School Buses Run on Natural Gas to someone by E-mail Share Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on Facebook Tweet about Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on Twitter Bookmark Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on Google Bookmark Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on Delicious Rank Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on Digg Find More places to share Alternative Fuels Data Center: Pennsylvania School Buses Run on Natural Gas on AddThis.com... Feb. 16, 2013 Pennsylvania School Buses Run on Natural Gas F ind out how schools in Pennsylvania transport students in compressed

353

Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Santa Fe Metro Fleet Santa Fe Metro Fleet Runs on Natural Gas to someone by E-mail Share Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on Facebook Tweet about Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on Twitter Bookmark Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on Google Bookmark Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on Delicious Rank Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on Digg Find More places to share Alternative Fuels Data Center: Santa Fe Metro Fleet Runs on Natural Gas on AddThis.com... June 8, 2010 Santa Fe Metro Fleet Runs on Natural Gas " CNG buses are reliable, have cleaner-burning engines, offer increased oil life, and have lower fuel costs than diesel.

354

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

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

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

355

Using the Bran Luminosity Detectors for Beam Emittance Monitoring During LHC Physics Runs  

E-Print Network (OSTI)

MONITORING DURING LHC PHYSICS RUNS* A. Ratti", H.S. Matis,IP5 during each of the Physics Runs. This provides a toolthe luminous regions from the physics experiments. Operator

Ratti, A.

2013-01-01T23:59:59.000Z

356

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

he International Energy Module determines changes in the world oil price and the supply prices of crude he International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

357

Engineering Technical Training Module (ETTM) - Instrument Setpoint Determination (ETTM-ISD) v1.0  

Science Conference Proceedings (OSTI)

Engineering Technical Training Module (ETTM) – Instrument Setpoint Determination, Version 1.0 is a computer-based training module that allows users to access training when desired and review it at their own pace.Automatic actuation of process instrumentation and controls in a nuclear power plant keeps the plant running efficiently and can be used as a safety-related measure in response to events outside the normal operation.  Setpoints determine the threshold at which ...

2013-10-29T23:59:59.000Z

358

Sonication standard laboratory module  

DOE Patents (OSTI)

A standard laboratory module for automatically producing a solution of cominants from a soil sample. A sonication tip agitates a solution containing the soil sample in a beaker while a stepper motor rotates the sample. An aspirator tube, connected to a vacuum, draws the upper layer of solution from the beaker through a filter and into another beaker. This beaker can thereafter be removed for analysis of the solution. The standard laboratory module encloses an embedded controller providing process control, status feedback information and maintenance procedures for the equipment and operations within the standard laboratory module.

Beugelsdijk, Tony (Los Alamos, NM); Hollen, Robert M. (Los Alamos, NM); Erkkila, Tracy H. (Los Alamos, NM); Bronisz, Lawrence E. (Los Alamos, NM); Roybal, Jeffrey E. (Santa Fe, NM); Clark, Michael Leon (Menan, ID)

1999-01-01T23:59:59.000Z

359

Water heater control module  

DOE Patents (OSTI)

An advanced electric water heater control system that interfaces with a high temperature cut-off thermostat and an upper regulating thermostat. The system includes a control module that is electrically connected to the high-temperature cut-off thermostat and the upper regulating thermostat. The control module includes a switch to open or close the high-temperature cut-off thermostat and the upper regulating thermostat. The control module further includes circuitry configured to control said switch in response to a signal selected from the group of an autonomous signal, a communicated signal, and combinations thereof.

Hammerstrom, Donald J

2013-11-26T23:59:59.000Z

360

A Buildings Module for the Stochastic Energy Deployment System  

SciTech Connect

The U.S. Department of Energy (USDOE) is building a new long-range (to 2050) forecasting model for use in budgetary and management applications called the Stochastic Energy Deployment System (SEDS), which explicitly incorporates uncertainty through its development within the Analytica(R) platform of Lumina Decision Systems. SEDS is designed to be a fast running (a few minutes), user-friendly model that analysts can readily run and modify in its entirety through a visual programming interface. Lawrence Berkeley National Laboratory is responsible for implementing the SEDS Buildings Module. The initial Lite version of the module is complete and integrated with a shared code library for modeling demand-side technology choice developed by the National Renewable Energy Laboratory (NREL) and Lumina. The module covers both commercial and residential buildings at the U.S. national level using an econometric forecast of floorspace requirement and a model of building stock turnover as the basis for forecasting overall demand for building services. Although the module is fundamentally an engineering-economic model with technology adoption decisions based on cost and energy performance characteristics of competing technologies, it differs from standard energy forecasting models by including considerations of passive building systems, interactions between technologies (such as internal heat gains), and on-site power generation.

Lacommare, Kristina S H; Marnay, Chris; Stadler, Michael; Borgeson, Sam; Coffey, Brian; Komiyama, Ryoichi; Lai, Judy

2008-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's Batch  

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

runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's LSF runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's LSF Batch System Introduction Quick Overview Setup Basic Idea Including a Tarball Using runManySections.py to Create Command File Running Compiled Root Macros Debugging Jobs Locally CERN (LSF) versus FNAL (Condor) Differences Introduction runManySections.py is designed to make it easy to run many different sections (or jobs) at once on the CMSLPC CAF or CERN's batch system. It is designed to complement CRAB as runManySections.py is designed to be used with non-cmsRun executables. The general idea is that you pass in a list of commands you would like run and you get the output of these commands back. It is currently configured to run for the Condor system at CMSLPC CAF and CERN's LSF batch system. It is very easy to configure to run on other

362

China Resources Wind Power Development Co Ltd Hua Run | Open Energy  

Open Energy Info (EERE)

Hua Run Hua Run Jump to: navigation, search Name China Resources Wind Power Development Co Ltd (Hua Run) Place Shantou, Guangdong Province, China Zip 515041 Sector Wind energy Product A company engages in developing wind power project. References China Resources Wind Power Development Co Ltd (Hua Run)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. China Resources Wind Power Development Co Ltd (Hua Run) is a company located in Shantou, Guangdong Province, China . References ↑ "China Resources Wind Power Development Co Ltd (Hua Run)" Retrieved from "http://en.openei.org/w/index.php?title=China_Resources_Wind_Power_Development_Co_Ltd_Hua_Run&oldid=343528

363

[Global warming and the running average sunspot number  

SciTech Connect

It has been reported in your pages that the Bush administration`s views and actions regarding how or whether to react to possible global warming due to greenhouse gases have been influenced by the so-called Marshall report. This unrefereed report, released by the George C. Marshall Institute, had as its principal conclusion the finding that the 0.5{degree} C global warming of the last century was mostly due to solar variability and, thus, the greenhouse warming of the 21st century can be expected to be a relatively small l{degree} C or so. The authors support this finding by comparing the 33-year running average sunspot number with the trend in annual average global temperature and noting the parallel between the two, especially during the 1940s--1960s when the temperature trend was downward. Subsequent letters to Science debated the merits of this and other conclusions contained in the report. I now present additional technical evidence which shows that, quite aside from the question of whether the data presented in the report support its conclusions, the actual figure on which the above conclusion is based is in error.

Fernau, M.E.

1994-05-01T23:59:59.000Z

364

WIPP Remote Handled Waste Facility: Performance Dry Run Operations  

SciTech Connect

The Remote Handled (RH) TRU Waste Handling Facility at the Waste Isolation Pilot Plant (WIPP) was recently upgraded and modified in preparation for handling and disposal of RH Transuranic (TRU) waste. This modification will allow processing of RH-TRU waste arriving at the WIPP site in two different types of shielded road casks, the RH-TRU 72B and the CNS 10-160B. Washington TRU Solutions (WTS), the WIPP Management and Operation Contractor (MOC), conducted a performance dry run (PDR), beginning August 19, 2002 and successfully completed it on August 24, 2002. The PDR demonstrated that the RHTRU waste handling system works as designed and demonstrated the handling process for each cask, including underground disposal. The purpose of the PDR was to develop and implement a plan that would define in general terms how the WIPP RH-TRU waste handling process would be conducted and evaluated. The PDR demonstrated WIPP operations and support activities required to dispose of RH-TRU waste in the WIPP underground.

Burrington, T. P.; Britain, R. M.; Cassingham, S. T.

2003-02-24T23:59:59.000Z

365

LHCb: The LHCb Muon detector commissioning and first running scenarios  

E-Print Network (OSTI)

The LHCb Muon detector, being part of the first trigger level (L0), has been optimized in order to provide a fast and efficient identification of the muons produced in pp collisions at the LHC. The expected performances are: 95% L0 trigger efficiency within a 25ns time window and muon identification in L0 with a pT resolution of ~20%. The detector has been built, to met those stringent requirements, using Multi Wire Proportional Chambers and Gas Electron Multiplier (in the innermost region, closest to the IP) technology. The chambers (1368 MWPC + 12 GEM) are arranged in 5 detector stations, interspersed with iron filters placed along the beam pipe. While the installation of chambers in stations 2 to 5 has already been completed, the work on the first and most challenging station is still ongoing and expected to end by July 09. The results obtained in the commissioning of all the installed chambers as well as the performances measured by means of data acquired during cosmics runs since September 08 are reviewe...

Furcas, S

2009-01-01T23:59:59.000Z

366

SAMGrid experiences with the Condor technology in Run II computing  

SciTech Connect

SAMGrid is a globally distributed system for data handling and job management, developed at Fermilab for the D0 and CDF experiments in Run II. The Condor system is being developed at the University of Wisconsin for management of distributed resources, computational and otherwise. We briefly review the SAMGrid architecture and its interaction with Condor, which was presented earlier. We then present our experiences using the system in production, which have two distinct aspects. At the global level, we deployed Condor-G, the Grid-extended Condor, for the resource brokering and global scheduling of our jobs. At the heart of the system is Condor's Matchmaking Service. As a more recent work at the computing element level, we have been benefiting from the large computing cluster at the University of Wisconsin campus. The architecture of the computing facility and the philosophy of Condor's resource management have prompted us to improve the application infrastructure for D0 and CDF, in aspects such as parting with the shared file system or reliance on resources being dedicated. As a result, we have increased productivity and made our applications more portable and Grid-ready. Our fruitful collaboration with the Condor team has been made possible by the Particle Physics Data Grid.

Baranovski, A.; Loebel-Carpenter, L.; Garzoglio, G.; Herber, R.; Illingworth, R.; Kennedy, R.; Kreymer, A.; Kumar, A.; Lueking, L.; Lyon, A.; Merritt, W.; Terekhov, I.; Trumbo, J.; Veseli, S.; White, S.; /Fermilab; St. Denis, R.; /Glasgow U.; Jain, S.; Nishandar, A.; /Texas U., Arlington

2004-12-01T23:59:59.000Z

367

CIM - compact intensity modulation.  

SciTech Connect

Compact intensity modulation (CIM), a new method to modulate the intensity of a neutron beam is demonstrated. CIM allows the production of arbitrary signals where the focus point can be chosen and changed without any constraints. A novel feature in this technique compared to spin echo techniques is that the neutron polarization is kept parallel or anti-parallel to the static fields during the passage through the magnetic fields and the beating pattern at the detector is produced by an amplitude modulation (AM) of the adiabatic RF-spin flippers rather than Larmor precession like in neutron spin echo (NSE) instruments; thus, the achievable contrast is very high and the instrument resolution can be changed very quickly. This gives the fascinating possibility at pulsed neutron sources to sweep the modulation frequency of the flippers in order to increase dynamic resolution range during the same neutron pulse.

Bleuel, M.; Lang, E.; Gahler, G.; Lal, J.; Intense Pulsed Neutron Source; Inst. Lau Langevin

2008-07-21T23:59:59.000Z

368

Digital optical conversion module  

DOE Patents (OSTI)

A digital optical conversion module used to convert an analog signal to a computer compatible digital signal including a voltage-to-frequency converter, frequency offset response circuitry, and an electrical-to-optical converter. Also used in conjunction with the digital optical conversion module is an optical link and an interface at the computer for converting the optical signal back to an electrical signal. Suitable for use in hostile environments having high levels of electromagnetic interference, the conversion module retains high resolution of the analog signal while eliminating the potential for errors due to noise and interference. The module can be used to link analog output scientific equipment such as an electrometer used with a mass spectrometer to a computer.

Kotter, Dale K. (North Shelley, ID); Rankin, Richard A. (Ammon, ID)

1991-02-26T23:59:59.000Z

369

Flywheel Energy Storage Module  

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

kWh100 kW Flywheel Energy Storage Module * 100KWh - 18 cost KWh vs. current State of the Art * Bonded Magnetic Bearings on Rim ID * No Shaft Hub (which limits surface speed)...

370

Digital optical conversion module  

DOE Patents (OSTI)

A digital optical conversion module used to convert an analog signal to a computer compatible digital signal including a voltage-to-frequency converter, frequency offset response circuitry, and an electrical-to-optical converter. Also used in conjunction with the digital optical conversion module is an optical link and an interface at the computer for converting the optical signal back to an electrical signal. Suitable for use in hostile environments having high levels of electromagnetic interference, the conversion module retains high resolution of the analog signal while eliminating the potential for errors due to noise and interference. The module can be used to link analog output scientific equipment such as an electrometer used with a mass spectrometer to a computer. 2 figs.

Kotter, D.K.; Rankin, R.A.

1988-07-19T23:59:59.000Z

371

Programmable synchronous communications module  

SciTech Connect

The functional characteristics of a programmable, synchronous serial communications CAMAC module with buffering in block format are described. Both bit and byte oriented protocols can be handled in full duplex depending on the program implemented. The main elements of the module are a Signetics 2652 Multi-Protocol Communications Controller, a Zilog Z-808 8 bit microprocessor with PROM and RAM, and FIFOs for buffering. (FS)

Horelick, D.

1979-10-01T23:59:59.000Z

372

A Coreless Approaches for On/Off Marx Type Modulators  

SciTech Connect

SLAC was first to report using ON/OFF switches in Marx type modulator. The development of Marx type modulator was bounded with the NLC need. The high energy physics runs based on the ILC concept where longer modulator pulse width is required. The SLAC idea of coreless modulators was useful for other applications (medicine, military, home security, etc.). The discussed conception is presented as a continuation of the earlier published articles. Several types of the Marx ON/OFF type modulators are under consideration. This article describes the new coreless approach, based on the solid state ON/OFF Marx's topology. An AC high voltage network feeds individual Marx's cells through the inductive and diode assemblies. Further integration of the ON/OFF Marx type modulator and its power supply is proposed. Two topologies are under consideration. The first scheme is an integration of DC/DC converters with ON/OFF Marx. The second topology is based on the usage of AC network directly with ON/OFF Marx scheme.

Krasnykh, Anatoly; /SLAC

2007-03-05T23:59:59.000Z

373

Photovoltaic module reliability workshop  

DOE Green Energy (OSTI)

The paper and presentations compiled in this volume form the Proceedings of the fourth in a series of Workshops sponsored by Solar Energy Research Institute (SERI/DOE) under the general theme of photovoltaic module reliability during the period 1986--1990. The reliability Photo Voltaic (PV) modules/systems is exceedingly important along with the initial cost and efficiency of modules if the PV technology has to make a major impact in the power generation market, and for it to compete with the conventional electricity producing technologies. The reliability of photovoltaic modules has progressed significantly in the last few years as evidenced by warranties available on commercial modules of as long as 12 years. However, there is still need for substantial research and testing required to improve module field reliability to levels of 30 years or more. Several small groups of researchers are involved in this research, development, and monitoring activity around the world. In the US, PV manufacturers, DOE laboratories, electric utilities and others are engaged in the photovoltaic reliability research and testing. This group of researchers and others interested in this field were brought together under SERI/DOE sponsorship to exchange the technical knowledge and field experience as related to current information in this important field. The papers presented here reflect this effort.

Mrig, L. (ed.)

1990-01-01T23:59:59.000Z

374

LCLS-scheduling-run_V_Ver9c.xlsx  

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

Tue Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Day Com Com Com Com Com L421 Coffee Night L477 Robinson Gruebel (L304, run 4) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Thur Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Day L498 Yachandra L487 Sokoloswski-Tinten IH Bozek L447 Harmand Night IH Lemke L396 Scherz L396 Scherz L409 Boeglin 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Day L399/433 Fromme/Neutze L467 Madsen Night Com Com Com L467 Mad L399/433 Fromme Com Com 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri

375

Power Systems Development Facility Gasification Test Run TC07  

SciTech Connect

This report discusses Test Campaign TC07 of the Kellogg Brown & Root, Inc. (KBR) Transport Reactor train with a Siemens Westinghouse Power Corporation (Siemens Westinghouse) particle filter system at the Power Systems Development Facility (PSDF) located in Wilsonville, Alabama. The Transport Reactor is an advanced circulating fluidized-bed reactor designed to operate as either a combustor or a gasifier using a particulate control device (PCD). The Transport Reactor was operated as a pressurized gasifier during TC07. Prior to TC07, the Transport Reactor was modified to allow operations as an oxygen-blown gasifier. Test Run TC07 was started on December 11, 2001, and the sand circulation tests (TC07A) were completed on December 14, 2001. The coal-feed tests (TC07B-D) were started on January 17, 2002 and completed on April 5, 2002. Due to operational difficulties with the reactor, the unit was taken offline several times. The reactor temperature was varied between 1,700 and 1,780 F at pressures from 200 to 240 psig. In TC07, 679 hours of solid circulation and 442 hours of coal feed, 398 hours with PRB coal and 44 hours with coal from the Calumet mine, and 33 hours of coke breeze feed were attained. Reactor operations were problematic due to instrumentation problems in the LMZ resulting in much higher than desired operating temperatures in the reactor. Both reactor and PCD operations were stable and the modifications to the lower part of the gasifier performed well while testing the gasifier with PRB coal feed.

Southern Company Services

2002-04-05T23:59:59.000Z

376

Gradient Combinatorial Libraries via Modulated Light ...  

Science Conference Proceedings (OSTI)

... Libraries via Modulated Light Exposure. Bookmark and Share Gradient Combinatorial Libraries via Modulated Light Exposure. ...

377

Method for compression of data using single pass LZSS and run-length encoding  

DOE Patents (OSTI)

A method used preferably with LZSS-based compression methods for compressing a stream of digital data is disclosed. The method uses a run-length encoding scheme especially suited for data strings of identical data bytes having large run-lengths, such as data representing scanned images. The method reads an input data stream to determine the length of the data strings. Longer data strings are then encoded in one of two ways depending on the length of the string. For data strings having run-lengths less than 18 bytes, a cleared offset and the actual run-length are written to an output buffer and then a run byte is written to the output buffer. For data strings of 18 bytes or longer, a set offset and an encoded run-length are written to the output buffer and then a run byte is written to the output buffer. The encoded run-length is written in two parts obtained by dividing the run length by a factor of 255. The first of two parts of the encoded run-length is the quotient; the second part is the remainder. Data bytes that are not part of data strings of sufficient length are written directly to the output buffer. 3 figs.

Berlin, G.J.

1997-12-23T23:59:59.000Z

378

Method for compression of data using single pass LZSS and run-length encoding  

DOE Patents (OSTI)

A method used preferably with LZSS-based compression methods for compressing a stream of digital data. The method uses a run-length encoding scheme especially suited for data strings of identical data bytes having large run-lengths, such as data representing scanned images. The method reads an input data stream to determine the length of the data strings. Longer data strings are then encoded in one of two ways depending on the length of the string. For data strings having run-lengths less than 18 bytes, a cleared offset and the actual run-length are written to an output buffer and then a run byte is written to the output buffer. For data strings of 18 bytes or longer, a set offset and an encoded run-length are written to the output buffer and then a run byte is written to the output buffer. The encoded run-length is written in two parts obtained by dividing the run length by a factor of 255. The first of two parts of the encoded run-length is the quotient; the second part is the remainder. Data bytes that are not part of data strings of sufficient length are written directly to the output buffer.

Berlin, Gary J. (Beech Island, SC)

1997-01-01T23:59:59.000Z

379

Method for compression of data using single pass LZSS and run-length encoding  

DOE Patents (OSTI)

A method used preferably with LZSS-based compression methods for compressing a stream of digital data. The method uses a run-length encoding scheme especially suited for data strings of identical data bytes having large run-lengths, such as data representing scanned images. The method reads an input data stream to determine the length of the data strings. Longer data strings are then encoded in one of two ways depending on the length of the string. For data strings having run-lengths less than 18 bytes, a cleared offset and the actual run-length are written to an output buffer and then a run byte is written to the output buffer. For data strings of 18 bytes or longer, a set offset and an encoded run-length are written to the output buffer and then a run byte is written to the output buffer. The encoded run-length is written in two parts obtained by dividing the run length by a factor of 255. The first of two parts of the encoded run-length is the quotient; the second part is the remainder. Data bytes that are not part of data strings of sufficient length are written directly to the output buffer.

Berlin, G.J.

1994-01-01T23:59:59.000Z

380

SSRL_2004_Run_Sched_3_22_04.xls  

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

2/04 2/04 Run Shutdown Maintenance / AP Injector Startup SLAC Closed Injector / SPEAR Startup University Holidays 17 MA/AP 18 MA 5 1 1 1 AP 3 4 7 4 9 5 6 8 10 20 10 11 12 11 AP 9 1 4 1 2 8 12 20 24 21 22 21 26 5 5 2 3 6 7 16 MA O 9 12 I 15 10 S 8 9 13 11 11 12 13 6 2 MA MA/AP AP 3 2 4 2 1 1 AP 3 T 17 17 18 16 16 4 3 13 14 12 8 14 15 U 20 10 21 13 MA 15 12 11 9 MA 4 5 5 3 MA 6 1 9 MA 16 13 3 4 1 13 M 5 12 11 M S C 8 11 M M 14 14 15 A E B M 31 M 29 28 MA 18 19 17 4 10 11 7 18 22 17 19 21 20 23 26 25 A 25 24 30 20 24 25 P 29 28 U 31 29 30 MA/AP 29 2003 2004 5 17 4 9 10 11 8 12 13 14 H D 15 16 14 O 13 N 7 User Conf. W 7 7 3 3 9 10 6 4 2 2 6 27 T 2003 2004 1 2 3 24 S 26 R 22 23 T AP 30 29 29 30 31 AP A M E 20 T 30 22 23 24 30 24 MA 25 N N 19 25 17 MA B 20 17 19 18 O W/ I S 27 C 7 8 6 14 15 16 7 10 9 8 10 6 6 7 5 17 15 MA 9 12 11 14 24 26 23 21 26 23 22 I N 2 3 5 2 3 4 8 1 S T 7 6 A L L 7 7 8 9 10 T 6 A I 11 12 I I 10 O 9 11 12 13 10 14 15 16 17 24 18 19 20 21 22 23 25 26 27 30 28 29 O N 22 23 28 20 13 14 15 16 18 19 25 26 O 22 18 27 24 27 22 23 24 30 29 28 21 12 13 22 31 25 23 21 29 30 13 14 27 19 26 24 25 15 16 27 28 29 28 27 26 29 N 28 I 31

Note: This page contains sample records for the topic "modules nems runs" 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
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381

Two Stage Liquefaction With Illinois 6 Coal: Volume 1: Run 247  

Science Conference Proceedings (OSTI)

This report presents the operating results for Run 247 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. This run operated in a Two-Stage Liquefaction (TSL) mode using Illinois No. 6 bituminous coal from the Burning Star mine. The primary run objective was to obtain performance data for the TSL system and the individual process units with particular emphasis on hydrotreating catalyst performance. Secondary objectives were to demonstrate operability for the system and the respective ...

1991-03-01T23:59:59.000Z

382

Macroeconomic Activity Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 19 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook2011 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module.

383

1 Modules and exactness  

E-Print Network (OSTI)

Suppose that R is an associative ring with 1. In most commutative cases, R is either the integers Z or some field k. Example: Suppose that k is a field and G is a group. The group-algebra k(G) over k is the direct sum k(G) = ? k, g?G with elements written as finite sums ? g?G ?g · g, with ?g ? k and all but finitely many ?g = 0. The “rule” (?g · g)(?h · h) = (?g?h) · (gh) defines the algebra structure on k(G), with multiplicative identity 1 = 1 · e, where e is the identity element of G. A k(G)-module M is a k-vector space M, with bilinear map ? : k(G) × M ? M with (r, m) ? ? r?m, such that r?(s?m) = (r·s)? m and 1 ? m = m, or equivalently M is a k-vector 1 space equipped with a group homomorphism G ? Autk(M). k(G)-modules are often called G-modules for that reason. Not even that is the most enlightened way to describe a k(G)-module. A group G can be thought of as a category (actually a groupoid) with one object ? and a morphism ? g ? ? ? for every g ? G. Then a k(G)-module is a functor M: G ? k ? Mod which takes values in the category of k-vector spaces. NB: I’ve only based these notions on fields k and their vector spaces to make them seem real. The object k could be a ring; then k(G) is a k-algebra still and a k(G)-module is a k-module M equipped with a group homomorphism G ? Autk(M). Now we recall some basic definitions and facts about R-modules. Suppose that f: M ? N is an R-module homomorphism. Then the kernel ker(f) of f is defined by ker(f) = {all x ? M such that f(x) = 0}. ker(f) is plainly a submodule of M. The image 2 im(f) of f is the submodule of N consisting of all y ? N such that y = f(x) for some x ? M. The cokernel of f cok(f) is defined to be the quotient A sequence cok(f) = N / im(f). M f ? ? M ? g ? ? M of R-module homomorphisms is said to be exact if ker(g) = im(f). Equivalently, the sequence is exact if g · f = 0 and for all y ? M ? with g(y) = 0 there is an x ? M such that f(x) = y. A sequence M1 ? M2 ? · · · ? Mn of R-module homomorphisms is said to be exact if ker = im everywhere. Example 1.1. The sequence 0 ? ker(f) ? M f ? ? N ? cok(f) ? 0 is exact for all R-module homomorphisms f. Note that 0 ? M f ? ? N is exact if and only if f is a monomorphism (injective), and that

unknown authors

2009-01-01T23:59:59.000Z

384

Power module assembly  

SciTech Connect

A power module assembly of the type suitable for deployment in a vehicular power inverter, wherein the power inverter has a grounded chassis, is provided. The power module assembly comprises a conductive base layer electrically coupled to the chassis, an insulating layer disposed on the conductive base layer, a first conductive node disposed on the insulating layer, a second conductive node disposed on the insulating layer, wherein the first and second conductive nodes are electrically isolated from each other. The power module assembly also comprises a first capacitor having a first electrode electrically connected to the conductive base layer, and a second electrode electrically connected to the first conductive node, and further comprises a second capacitor having a first electrode electrically connected to the conductive base layer, and a second electrode electrically connected to the second conductive node.

Campbell, Jeremy B. (Torrance, CA); Newson, Steve (Redondo Beach, CA)

2011-11-15T23:59:59.000Z

385

Photovoltaic module and interlocked stack of photovoltaic modules  

DOE Patents (OSTI)

One embodiment relates to an arrangement of photovoltaic modules configured for transportation. The arrangement includes a plurality of photovoltaic modules, each photovoltaic module including a frame having at least a top member and a bottom member. A plurality of alignment features are included on the top member of each frame, and a plurality of alignment features are included on the bottom member of each frame. Adjacent photovoltaic modules are interlocked by the alignment features on the top member of a lower module fitting together with the alignment features on the bottom member of an upper module. Other embodiments, features and aspects are also disclosed.

Wares, Brian S.

2012-09-04T23:59:59.000Z

386

Submission for question 1 with items numbered: 1 Run-E 1 ...  

Science Conference Proceedings (OSTI)

... agreed to work with the United Nations to curb production and encourage ... 35 Run-E 2 XIE19990605.0194 Besides supplying crude oil to Cuba, the ...

2004-10-26T23:59:59.000Z

387

Running on biofuels and beyond Utilizing a wide variety of energy resources is essen-  

E-Print Network (OSTI)

Adaptable engines Running on biofuels and beyond Utilizing a wide variety of energy resources; natural gas; hydrogen; synthetic fuels; biofuels including biogas, biodiesels, and alcohols--even syngas

Endres. William J.

388

SEE HOW WE RUN...At WIPP, We Really Mean Business  

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

will ensure accuracy and reliability of information, as well as reduced cycle time for information retrieval. W Why is it important to run WIPP like a business? Continually...

389

Elasticity of Demand for Relative Petroleum Inventory in the Short Run  

U.S. Energy Information Administration (EIA)

Elasticity of Demand for Relative Petroleum Inventory in the Short Run MICHAEL YE,? JOHN ZYREN,?? AND JOANNE SHORE?? Abstract To better understand petroleum ...

390

AGR-1 Irradiation Test Final As-Run Report  

SciTech Connect

This document presents the as-run analysis of the AGR-1 irradiation experiment. AGR-1 is the first of eight planned irradiations for the Advanced Gas Reactor (AGR) Fuel Development and Qualification Program. Funding for this program is provided by the US Department of Energy (DOE) as part of the Next-Generation Nuclear Plant (NGNP) project. The objectives of the AGR-1 experiment are: 1. To gain experience with multi-capsule test train design, fabrication, and operation with the intent to reduce the probability of capsule or test train failure in subsequent irradiation tests. 2. To irradiate fuel produced in conjunction with the AGR fuel process development effort. 3. To provide data that will support the development of an understanding of the relationship between fuel fabrication processes, fuel product properties, and irradiation performance. In order to achieve the test objectives, the AGR-1 experiment was irradiated in the B-10 position of the Advanced Test Reactor (ATR) at the Idaho National Laboratory (INL) for a total duration of 620 effective full power days of irradiation. Irradiation began on December 24, 2006 and ended on November 6, 2009 spanning 13 ATR cycles and approximately three calendar years. The test contained six independently controlled and monitored capsules. Each capsule contained 12 compacts of a single type, or variant, of the AGR coated fuel. No fuel particles failed during the AGR-1 irradiation. Final burnup values on a per compact basis ranged from 11.5 to 19.6 %FIMA, while fast fluence values ranged from 2.21 to 4.39 ?1025 n/m2 (E >0.18 MeV). We’ll say something here about temperatures once thermal recalc is done. Thermocouples performed well, failing at a lower rate than expected. At the end of the irradiation, nine of the originally-planned 19 TCs were considered functional. Fission product release-to-birth (R/B) ratios were quite low. In most capsules, R/B values at the end of the irradiation were at or below 10-7 with only one capsule significantly exceeding this value. A maximum R/B of around 2?10-7 was reached at the end of the irradiation in Capsule 5. Several shakedown issues were encountered and resolved during the first three cycles. These include the repair of minor gas line leaks; repair of faulty gas line valves; the need to position moisture monitors in regions of low radiation fields for proper functioning; the enforcement of proper on-line data storage and backup, the need to monitor thermocouple performance, correcting for detector spectral gain shift, and a change in the mass flow rate range of the neon flow controllers.

Blaise P. Collin

2012-06-01T23:59:59.000Z

391

Method of monolithic module assembly  

DOE Patents (OSTI)

Methods for "monolithic module assembly" which translate many of the advantages of monolithic module construction of thin-film PV modules to wafered c-Si PV modules. Methods employ using back-contact solar cells positioned atop electrically conductive circuit elements affixed to a planar support so that a circuit capable of generating electric power is created. The modules are encapsulated using encapsulant materials such as EVA which are commonly used in photovoltaic module manufacture. The methods of the invention allow multiple cells to be electrically connected in a single encapsulation step rather than by sequential soldering which characterizes the currently used commercial practices.

Gee, James M. (Albuquerque, NM); Garrett, Stephen E. (Albuquerque, NM); Morgan, William P. (Albuquerque, NM); Worobey, Walter (Albuquerque, NM)

1999-01-01T23:59:59.000Z

392

Lower Cost CPV 3-Sun Mirror Modules  

SciTech Connect

In a series of patent applications filed between 2002 and 2005, JX Crystals Inc described a evolutionary lower-cost low-concentration planar solar photovoltaic module that uses multiple linear rows of silicon cells and standard one-sun circuit laminations incorporating glass and EVA weather proofing encapsulations. The three novel features that we described are interdependent and integrated together to yield lower cost PV modules. These 3 novel features are: (1) The use of rows of linear mirrors or linear Fresnel lenses aligned with the cell rows and concentrating the sunlight onto the cell rows. (2) The addition of a thin aluminum sheet heat spreader on the back of the circuit lamination to spread the heat away from the cell rows so that the cell operating temperature remains acceptably low. (3) The incorporation of slots in the back of the aluminum sheet heat spreader to accommodate the differences in thermal expansion between the silicon cells, the glass, and the aluminum so that the circuit interconnectivity is maintained over time. Various embodiments of this planar linear concentrator panel are shown in figures 1 to 5. Figures 1 and 2 show the original planar linear concentrator module concept from July of 2002 with either mirrors (figure 1) or linear Fresnel lenses (figure 2). The idea was expanded in 2003 with the idea of an aluminum sheet heat spreader added to the back of a standard PV circuit lamination as shown in figure 3. In 2003, we also transitioned from half cells to third cells using SunPower cells as shown in figure 4. JX Crystals Inc then received funding for the 3-sun PV mirror module concept from the Shanghai Science and Technology Commission in 2003 and from the Shanghai Flower Port and the Shanghai Import and Export Trading Company in 2005. This funding led to a 800 panel pilot production run of our JX Crystals designed 3-sun module in 2006. 672 of these panels were installed in a 100 kW demonstration and an additional 24 panels were installed in a second 4 kW demonstration both at the Flower Port in Shanghai. Both of these systems were completed in 2006. Our 3-sun PV Panel concept has been described previously (see references 1, 2, & 3 available at www.jxcrystals.com under publication tab). We are now interested in bringing this potentially lower cost 3-sun technology back to the US. For any new technology, three issues need to be addressed. They are performance, durability, and cost. These topics are addressed in the next 3 sections.

Fraas, Dr. Lewis [JX Crystals, Inc.; Avery, James E. [JX Crystals, Inc.; Minkin, Leonid M [ORNL; Huang, H, [JX Crystals, Inc.; Gehl, Anthony C [ORNL; Maxey, L Curt [ORNL

2007-01-01T23:59:59.000Z

393

The online system of the PHENIX experiment in the RHIC run 5  

Science Conference Proceedings (OSTI)

PHENIX [1] is one of two large experiments at Brookhaven National Laboratory's Relativistic Heavy Ion Collider (RHIC). At the time of this conference, the Run 5 of RHIC is in progress and has been very successful so far. Compared to the previous run, ...

Martin L. Purschke

2005-06-01T23:59:59.000Z

394

When the Internet Runs Out of Addresses, It'll be IPv6 to the...  

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

the Internet Runs Out of Addresses, It'll be IPv6 to the Rescue When the Internet Runs Out of Addresses, It'll be IPv6 to the Rescue June 8, 2011 - 5:25pm Addthis Wendy Wolfson...

395

PoS(ACAT)027 Online Monitoring for the CDF Run II Experiment  

E-Print Network (OSTI)

- gency situation handling were defined, e.g. remote shifter replacement with a local (Fnal) one in casePoS(ACAT)027 Online Monitoring for the CDF Run II Experiment and the Remote Operation Facilities T the CDF Run II online event monitoring system and operation, with enphasis on the remote monitoring shift

396

FORODT: Fortran debug routine for the PDP-11 (RT-11). [For run-time debugging  

SciTech Connect

FORODT provides run-time debug features to PDP-11 Fortran programs running with the RT-11 operating system. Digital Equipment Corporation's ODT program has been extended to include Fortran breakpoints, decimal integer and floating point data input, and output options. 3 figures.

Tanner, D.N.

1977-01-01T23:59:59.000Z

397

Asymmetric trajectory generation and impedance control for running of biped robots  

Science Conference Proceedings (OSTI)

An online asymmetric trajectory generation method for biped robots is proposed to maintain dynamical postural stability and increase energy autonomy, based on the running stability criterion defined in phases. In a support phase, an asymmetric trajectories ... Keywords: Angular momentum, Asymmetric trajectory, Biped robot, Impedance control, Running stability

Ohung Kwon; Jong Hyeon Park

2009-01-01T23:59:59.000Z

398

Initial steps towards run-time support for norm-governed systems  

Science Conference Proceedings (OSTI)

We present a knowledge representation framework with an associated run-time support infrastructure that is able to compute, for the benefit of the members of a norm-governed multi-agent system, the physically possible and permitted actions at each time, ... Keywords: GOLEM, event calculus, run-time service, social interaction

Visara Urovi; Stefano Bromuri; Kostas Stathis; Alexander Artikis

2010-05-01T23:59:59.000Z

399

Off-momentum dynamic aperture for lattices in the RHIC heavy ion runs  

Science Conference Proceedings (OSTI)

To reduce transverse emittance growth rates from intrabeam scattering in the RHIC heavy ion runs, a lattice with an increased phase advance in the arc FODO cells was adopted in 2008-2011. During these runs, a large beam loss due to limited off-momentum dynamic aperture was observed during longitudinal RF re-bucketing and with transverse cooling. Based on the beam loss observations in the previous ion runs and the calculated off-momentum apertures, we decided to adopt the lattice used before 2008 for the 2012 U-U and Cu-Au runs. The observed beam decay and the measured momentum aperture in the 2012 U-U run are presented.

Luo Y.; Bai, M.; Blaskiewicz, M.; Gu, X.; Fischer, W.; Marusic, A.; Roser, T.; Tepikian, S.; Zhang, S.

2012-05-20T23:59:59.000Z

400

Integrated starting and running amalgam assembly for an electrodeless fluorescent lamp  

DOE Patents (OSTI)

An integrated starting and running amalgam assembly for an electrodeless SEF fluorescent lamp includes a wire mesh amalgam support constructed to jointly optimize positions of a starting amalgam and a running amalgam in the lamp, thereby optimizing mercury vapor pressure in the lamp during both starting and steady-state operation in order to rapidly achieve and maintain high light output. The wire mesh amalgam support is constructed to support the starting amalgam toward one end thereof and the running amalgam toward the other end thereof, and the wire mesh is rolled for friction-fitting within the exhaust tube of the lamp. The positions of the starting and running amalgams on the wire mesh are jointly optimized such that high light output is achieved quickly and maintained, while avoiding any significant reduction in light output between starting and running operation.

Borowiec, Joseph Christopher (Schenectady, NY); Cocoma, John Paul (Clifton Park, NY); Roberts, Victor David (Burnt Hills, NY)

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

DZero Experiment Run 1 (1992-1996) Event Display Gallery from the Fermilab Tevatron  

DOE Data Explorer (OSTI)

This web page provides access to images captured during D0 experiments Run I. In addition, the user can see live event displays from the current Run II for both the CDF and the DZero experiments at http://www.fnal.gov/pub/now/live_events/index.html. Another interesting offering from the D0 groups at Fermilab is the large collection of "Plain English Summaries" of their published reports and papers. These Summaries are excellent for layman's understanding of the high energy physics research done at Fermilab and can serve as introductions to the published papers themselves. The Summaries are at http://www-d0.fnal.gov/public/pubs/d0_physics_summaries.html for Run I and http://www-d0.fnal.gov/Run2Physics/WWW/results/summary.htm for Run II.

402

Module Utilization Committee. Final report  

DOE Green Energy (OSTI)

Photovoltaic collector modules were declared surplus to the needs of the US Department of Energy. The Module Utilization Committee was formed to make appropriate disposition of the surplus modules. The final report of that committee accounts for that disposition. The membership and activities of the committee are set forth and the results of its activities are reported.

None

1984-03-01T23:59:59.000Z

403

Flywheel Energy Storage Module  

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

kWh/100 kW kWh/100 kW Flywheel Energy Storage Module * 100KWh - 1/8 cost / KWh vs. current State of the Art * Bonded Magnetic Bearings on Rim ID * No Shaft / Hub (which limits surface speed) * Flexible Motor Magnets on Rim ID * Develop Touch-down System for Earthquake Flying Rim Eliminate Shaft and Hub Levitate on Passive Magnetic Bearings Increase Rim Tip Speed Larger Diameter Thinner Rim Stores More Energy 4 X increase in Stored Energy with only 60% Increase in Weight Development of a 100 kWh/100 kW Flywheel Energy Storage Module High Speed, Low Cost, Composite Ring with Bore-Mounted Magnetics Current State of the Art Flywheel Limitations of Existing Flywheel * 15 Minutes of storage * Limited to Frequency Regulation Application * Rim Speed (Stored Energy) Limited by Hub Strain and Shaft Dynamics

404

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

405

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

406

Tandem resonator reflectance modulator  

DOE Patents (OSTI)

A wide band optical modulator is grown on a substrate as tandem Fabry-Perot resonators including three mirrors spaced by two cavities. The absorption of one cavity is changed relative to the absorption of the other cavity by an applied electric field, to cause a change in total reflected light, as light reflecting from the outer mirrors is in phase and light reflecting from the inner mirror is out of phase with light from the outer mirrors. 8 figs.

Fritz, I.J.; Wendt, J.R.

1994-09-06T23:59:59.000Z

407

Tandem resonator reflectance modulator  

DOE Patents (OSTI)

A wide band optical modulator is grown on a substrate as tandem Fabry-Perot resonators including three mirrors spaced by two cavities. The absorption of one cavity is changed relative to the absorption of the other cavity by an applied electric field, to cause a change in total reflected light, as light reflecting from the outer mirrors is in phase and light reflecting from the inner mirror is out of phase with light from the outer mirrors.

Fritz, Ian J. (Albuquerque, NM); Wendt, Joel R. (Albuquerque, NM)

1994-01-01T23:59:59.000Z

408

Di-J/psi Studies, Level 3 Tracking and the D0 Run IIb Upgrade  

SciTech Connect

The D0 detector underwent an upgrade to its silicon vertex detector and triggering systems during the transition from Run IIa to Run IIb to maximize its ability to fully exploit Run II at the Fermilab Tevatron. This thesis describes improvements made to the tracking and vertexing algorithms used by the high level trigger in both Run IIa and Run IIb, as well as a search for resonant di-J/{psi} states using both Run IIa and Run IIb data. Improvements made to the tracking and vertexing algorithms during Run IIa included the optimization of the existing tracking software to reduce overall processing time and the certification and testing of a new software release. Upgrades made to the high level trigger for Run IIb included the development of a new tracking algorithm and the inclusion of the new Layer 0 silicon detector into the existing software. The integration of Layer 0 into the high level trigger has led to an improvement in the overall impact parameter resolution for tracks of {approx}50%. The development of a new parameterization method for finding the error associated to the impact parameter of tracks returned by the high level tracking algorithm, in association with the inclusion of Layer 0, has led to improvements in vertex resolution of {approx}4.5 {micro}m. A previous search in the di-J/{psi} channel revealed a unpredicted resonance at {approx}13.7 GeV/c{sup 2}. A confirmation analysis is presented using 2.8 fb{sup -1} of data and two different approaches to cuts. No significant excess is seen in the di-J/{psi} mass spectrum.

Vint, Philip John; /Imperial Coll., London

2009-10-01T23:59:59.000Z

409

OVERVIEW OF BEAM STUDIES AT RHIC DURING THE YEAR 2000 RUN.  

SciTech Connect

During the Year 2000 run, RHIC has been commissioned and brought into operation reaching 10% of the design luminosity. A program for beam studies and machine development has been setup before the run with the goal of improving machine performance. The plan was implemented during the run in a series of beam studies, focusing initially on interaction region correction, intrabeam scattering, 3-dimensional beam reconstruction and luminosity optimization. An overview of the results is given with pointers to individual contributions where data are presented in more detail. The program for dedicated machine development at RHIC during the Year 2001 is reviewed and discussed.

PILAT,F.; BAI,M.; DREES,A.; FISCHER,W.

2001-06-18T23:59:59.000Z

410

Comments on momentum aperture of 100 GeV/n Au runs in RHIC  

Science Conference Proceedings (OSTI)

In RHIC 2010 100 GeV/n Au run, the momentum aperture has been an issue in the re-bucketing and the beam intensity lifetime in store. Both Blue and Yellow beams with comparable storage RF voltage and peak current have suffered more beam loss than in Run 2007. In this note, some comments are made for the momentum aperture of the lattices used from the Au runs in 2007, 2008 and 2010. From the wigglings and the beam decays of each lattice, information regarding the machine momentum aperture is presented. Several directions in further improvement are discussed.

Zhang, S.Y.

2011-11-01T23:59:59.000Z

411

Recent beauty results from CDF and the Run-II upgrades  

SciTech Connect

This paper reports on the most recent results from the Collider Detector Facility (CDF) from 110 pb{sup -1} of data taken at the Fermilab Tevatron from 1992 to 1995. Improved measurements of B meson spectroscopy, lifetimes, and searches for new particle states are presented. Evidence for the effectiveness of same side tagging techniques in the context of mixing measurements is shown with applicability for CP violation studies in Run-II explained. The planned upgrades of importance to {ital b} physics for Run-II are briefly detailed with an emphasis on the expected physics reach in Run-II by CDF.

Huffman, B.T. [Pittsburgh Univ., PA (United States); CDF Collaboration

1996-09-01T23:59:59.000Z

412

Two Stage Liquefaction With Illinois 6 Coal: Volume 2: Run 248  

Science Conference Proceedings (OSTI)

This report presents the operating results for Run 248 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. The run began on 8 February 1985 and continued through 5 May 1985. A total of 170 tons of Illinois No. 6 bituminous coal was fed in 1,904 hours of operation. The primary run objectives included the demonstration of unit and system operability for bituminous coal with the low-contact time (LCT) reactor in place at the thermal liquefaction unit (TLU) in both the Double Integrated T...

1991-03-01T23:59:59.000Z

413

Two Stage Liquefaction With Illinois 6 Coal: Volume 3: Run 250  

Science Conference Proceedings (OSTI)

This report presents the operating results for Run 250 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. This run operated in a Two-Stage Liquefaction (TSL) mode using Illinois No. 6 bituminous coal from the Burning Star mine. The primary run objective was demonstration of unit and system operability for bituminous coal in the Close-Coupled Integrated Two-Stage Liquefaction (CC-ITSL) mode of operation. In CC-ITSL the products from the thermal (first stage) reactor are sent directly ...

1991-03-01T23:59:59.000Z

414

Modulator-Based, High Bandwidth Optical Links for HEP Experiments  

E-Print Network (OSTI)

As a concern with the reliability, bandwidth and mass of future optical links in LHC experiments, we are investigating CW lasers and light modulators as an alternative to VCSELs. These links will be particularly useful if they utilize light modulators which are very small, low power, high bandwidth, and are very radiation hard. We have constructed a test system with 3 such links, each operating at 10 Gb/s. We present the quality of these links (jitter, rise and fall time, BER) and eye mask margins (10GbE) for 3 different types of modulators: LiNbO3-based, InP-based, and Si-based. We present the results of radiation hardness measurements with up to ~1012 protons/cm2 and ~65 krad total ionizing dose (TID), confirming no single event effects (SEE) at 10 Gb/s with either of the 3 types of modulators. These optical links will be an integral part of intelligent tracking systems at various scales from coupled sensors through intra-module and off detector communication. We have used a Si-based photonic transceiver to build a complete 40 Gb/s bi-directional link (10 Gb/s in each of four fibers) for a 100m run and have characterized it to compare with standard VCSEL-based optical links. Some future developments of optical modulator-based high bandwidth optical readout systems, and applications based on both fiber and free space data links, such as local triggering and data readout and trigger-clock distribution, are also discussed.

D. G. Underwood; G. Drake; W. S. Fernando; R. W. Stanek

2012-06-23T23:59:59.000Z

415

T-570: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of  

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

0: HP Security Bulletin - HP-UX Running OpenSSL, Remote 0: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of Arbitrary Code, Denial of Service (DoS), Authentication Bypass T-570: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of Arbitrary Code, Denial of Service (DoS), Authentication Bypass March 4, 2011 - 3:05pm Addthis PROBLEM: Potential Security Impact: Remote execution of arbitrary code, Denial of Service (DoS), authentication bypass. PLATFORM: HP-UX B.11.11, B.11.23, B.11.31 running OpenSSL before vA.00.09.08q. ABSTRACT: A potential security vulnerability has been identified with HP-UX OpenSSL. This vulnerability could be exploited remotely to execute arbitrary code or create a Denial of Service (DoS) or an authentication bypass. reference LINKS: Net-Security Advisory: HPSBUX02638

416

T-570: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of  

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

70: HP Security Bulletin - HP-UX Running OpenSSL, Remote 70: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of Arbitrary Code, Denial of Service (DoS), Authentication Bypass T-570: HP Security Bulletin - HP-UX Running OpenSSL, Remote Execution of Arbitrary Code, Denial of Service (DoS), Authentication Bypass March 4, 2011 - 3:05pm Addthis PROBLEM: Potential Security Impact: Remote execution of arbitrary code, Denial of Service (DoS), authentication bypass. PLATFORM: HP-UX B.11.11, B.11.23, B.11.31 running OpenSSL before vA.00.09.08q. ABSTRACT: A potential security vulnerability has been identified with HP-UX OpenSSL. This vulnerability could be exploited remotely to execute arbitrary code or create a Denial of Service (DoS) or an authentication bypass. reference LINKS: Net-Security Advisory: HPSBUX02638

417

Would You Consider Driving a Vehicle that Can Run on Biodiesel? |  

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

Would You Consider Driving a Vehicle that Can Run on Biodiesel? Would You Consider Driving a Vehicle that Can Run on Biodiesel? Would You Consider Driving a Vehicle that Can Run on Biodiesel? September 16, 2010 - 7:30am Addthis On Monday, Shannon told you about biodiesel, a renewable fuel that can power a vehicle using less fuel and producing fewer greenhouse gas emissions. DOE has an Alternative Fuel Station Locator that can help drivers find the nearest fueling station to fill up their vehicles. Would you consider driving a vehicle that can run on biodiesel? Why or why not? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. E-mail your responses to the Energy Saver team at

418

Submission for question 1 with items numbered: 1 Run-B 1 ...  

Science Conference Proceedings (OSTI)

... 9 Run-B 2 XIE19971228.0012 The United States has pressured Kazakhstan to shelve a plan for pipeline through Iran in favor of a US backed ...

2004-10-26T23:59:59.000Z

419

diff -ruN oommf12a4pre-20100719/app/mmdisp/scripts ...  

Science Conference Proceedings (OSTI)

diff -ruN oommf12a4pre-20100719/app/mmdisp/scripts/mmdisp.tcl oommf12a4pre-20100719bis/app/mmdisp/scripts/mmdisp.tcl --- oommf12a4pre ...

2011-10-16T23:59:59.000Z

420

The impact of "Never Run Out" policy assured supply chain with dual reorder point expediting  

E-Print Network (OSTI)

Managing a big supply chain for one of the largest quick service restaurant companies, especially when the company has a policy called "Never Run Out," is very challenging. A traditional way of managing inventory requires ...

Lee, Gil Su

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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

Short-run interfuel substitution in West European power generation : a restriced cost function approach  

E-Print Network (OSTI)

This paper analyzes short-run interfuel substitution between fossil fuels in West European power generation. The problem is studied within a restricted translog cost model, which is estimated by pooling time-series data ...

Söderholm, Patrik

1999-01-01T23:59:59.000Z

422

Drilling history and stratigraphic correlation of Rose Run sandstone of northeastern Ohio  

SciTech Connect

To date, 40 known tests have penetrated the Knox unconformity in Ashtabula, Lake, Trumbull, Geauga, and Portage Counties, Ohio. Prior to 1980, there were only 22 tests. Of these, only 10 penetrated and logged rocks older than the Rose Run sandstone. In the period 1980-1986, two Rose Run discoveries were drilled, one in New Lyme Township of Ashtabula County and one in Burton Township of Geauga County. Both discovery wells have been offset. Attempts have been made to correlate these two areas with older tests in northeastern Ohio and with the Rose Run sandstones of Coshocton County. In northeastern Ohio, preliminary studies indicate a Rose Run sandstone and/or dolomite interval approximately 100 ft thick. The upper 50 ft is predominantly sandstone and the lower 50 ft changes locally from sandstone to dolomite. The upper sandy member can be correlated to the A, B, and C sandstone units of Coshocton County.

Moyer, C.C.

1988-08-01T23:59:59.000Z

423

IR Radiation from Trees to a Ski Run: A Case Study  

Science Conference Proceedings (OSTI)

Accurately calculating the surface radiation budget of a groomed ski run is crucial when determining snow surface temperature and other snow-related variables, knowledge of which is important for ski racing. Downwelling longwave radiation can ...

Rosie Howard; Roland Stull

2013-07-01T23:59:59.000Z

424

Analyzing the Long-run Impact of the Regional Greenhouse Gas...  

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

Analyzing the Long-run Impact of the Regional Greenhouse Gas Initiative on Maryland Power Sectors Costs and CO2 Emissions Speaker(s): Yihsu Chen Date: June 14, 2007 - 12:00pm...

425

Selection of tau leptons with the CDF Run 2 trigger system  

SciTech Connect

We have implemented triggers for hadronically decaying tau leptons within a framework of the CDF Run 2 trigger system. We describe the triggers, along with their physics motivations, and report on their initial performance.

A. Anastassov; S. Baroiant; M. Chertok

2003-07-01T23:59:59.000Z

426

Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data  

Science Conference Proceedings (OSTI)

An urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a ...

Eric A. Hendricks; Steve R. Diehl; Donald A. Burrows; Robert Keith

2007-12-01T23:59:59.000Z

427

An alternative scaling solution for high-energy QCD saturation with running coupling  

E-Print Network (OSTI)

A new type of approximate scaling compatible with the Balitsky-Kovchegov equation with running coupling is found, which is different from the previously known running coupling geometric scaling. The corresponding asymptotic traveling wave solution is derived. Although featuring different scaling behaviors, the two solutions are complementary approximations of the same universal solution, and they become equivalent in the high energy limit. The new type of scaling is observed in the small-x DIS data.

Beuf, Guillaume

2008-01-01T23:59:59.000Z

428

An alternative scaling solution for high-energy QCD saturation with running coupling  

E-Print Network (OSTI)

A new type of approximate scaling compatible with the Balitsky-Kovchegov equation with running coupling is found, which is different from the previously known running coupling geometric scaling. The corresponding asymptotic traveling wave solution is derived. Although featuring different scaling behaviors, the two solutions are complementary approximations of the same universal solution, and they become equivalent in the high energy limit. The new type of scaling is observed in the small-x DIS data.

Guillaume Beuf

2008-03-14T23:59:59.000Z

429

How Long For the Long-Run Equilibrium in a Cointegration System?  

E-Print Network (OSTI)

In economics the period of "long-run" often signifies the length of time within which transient fluctuations disappear, and a system eventually comes back to an equilibrium state (or path), if any. Among some interesting cases of long run analysis, the concept of cointegration is a relatively new concept of the long run equilibrium. This paper discusses how to determine the length of the long-run period for a cointegration relation. In an application to a consumption-income relation we found that the length of the long-run period for the relation is about ten quarters. Keywords: Long run equilibrium, cointegration. 1 Department of Economics, State University of New York - Albany, Albany, NY 12222. (518) 442-4926, jykim@cnsunix.albany.edu 1 1 Introduction The concept of cointegration defined by Engle and Granger (1987) has become useful for analyzing linear dynamic systems in economics. The existence of a cointegration relation among a set of variables implies that there exists a...

How Long; Long-run Equilibrium; Jae-young Kim; Jae-young Kim

1995-01-01T23:59:59.000Z

430

Residential response to price changes in natural gas service: A short-run analysis  

Science Conference Proceedings (OSTI)

Residential consumer demand for natural gas services is determined by numerous components including natural gas and competing fuel prices, weather patterns, appliance ownership characteristics, income, and energy conservation measure implementation. This study utilizes household-level data on a set of the determinants of residential natural gas demand, combined with corresponding consumption observations, to analyze the price response over the [open quotes]short-run[close quotes] period, in which primary natural gas-consuming appliances are fixed. Two model specifications are employed in this study to model the natural gas demand function and derive short-run price elasticity estimates. These are the Error Components (EC) and Fixed Effects (FE) models. These specifications result in elastic short-run responses estimates ranging between [minus]2.164 and [minus]7.015. These values contrast with the inelastic short-run estimated responses presented in previous empirical work, and the likelihood of actually observing such large short-run responses is expected to be small. The large estimates developed in the current study are evidently due to the use of household-specific data that incorporates disaggregated factors that influence monthly fluctuations in demand. This level of detail is subsumed within the aggregated data employed in prior studies. The price elasticity estimates developed in this study are directly applicable to short-run fuel demand analyses. The estimates are also applicable to the development, implementation, and evaluation of energy conservation programs.

Wilson, P.A.

1992-01-01T23:59:59.000Z

431

Distributed Generation Potential of the U.S. Commercial Sector  

E-Print Network (OSTI)

2003). Oil and Gas Supply Module Natural Gas Transmissionelectricity and natural gas prices from the NEMS supply-side

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

2005-01-01T23:59:59.000Z

432

Two modulator generalized ellipsometer for complete mueller matrix measurement  

SciTech Connect

A two-modulator generalized ellipsometer (2-MGE) comprising two polarizer-photoelastic modulator (PEM) pairs, an optical light source, an optical detection system, and associated data processing and control electronics, where the PEMs are free-running. The input light passes through the first polarizer-PEM pair, reflects off the sample surface or passes through the sample, passes through the second PEM-polarizer pair, and is detected. Each PEM is free running and operates at a different resonant frequency, e.g., 50 and 60 kHz. The resulting time-dependent waveform of the light intensity is a complicated function of time, and depends upon the exact operating frequency and phase of each PEM, the sample, and the azimuthal angles of the polarizer-PEM pairs, but can be resolved into a dc component and eight periodic components. In one embodiment, the waveform is analyzed using a new spectral analysis technique that is similar to Fourier analysis to determine eight sample Mueller matrix elements (normalized to the m.sub.00 Mueller matrix element). The other seven normalized elements of the general 4.times.4 Mueller matrix can be determined by changing the azimuthal angles of the PEM-polarizer pairs with respect to the plane of incidence. Since this instrument can measure all elements of the sample Mueller matrix, it is much more powerful than standard ellipsometers.

Jellison, Jr., Gerald E. (Oak Ridge, TN); Modine, Frank A. (Oak Ridge, TN)

1999-01-01T23:59:59.000Z

433

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

434

Photovoltaic concentrator module improvements study  

DOE Green Energy (OSTI)

This report presents results of a project to design and fabricate an improved photovoltaic concentrator module. Using previous work as a baseline, this study conducted analyses and testing to select major module components and design features. The lens parquet and concentrator solar cell were selected from the highest performing, available components. A single 185X point-focus module was fabricated by the project team and tested at Sandia. Major module characteristics include a 6 by 4 compression-molded acrylic lens parquet (0.737 m{sup 2} area), twenty-four 0.2 ohms-cm, FZ, p-Si solar cells (1.56 cm{sup 2} area) soldered to ceramic substrates and copper heat spreaders, and an aluminized steel housing with corrugated bottom. This project marked the first attempt to use prismatic covers on solar cells in a high-concentration, point-focus application. Cells with 15 percent metallization were obtained, but problems with the fabrication and placement of prismatic covers on these cells lead to the decision not to use covers in the prototype module. Cell assembly fabrication, module fabrication, and module optical design activities are presented here. Test results are also presented for bare cells, cell assemblies, and module. At operating conditions of 981 watts/m{sup 2} DNI and an estimated cell temperature of 65{degrees}C, the module demonstrated an efficiency of 13.9 percent prior to stressed environmental exposure. 12 refs., 56 figs., 7 tabs.

Levy, S.L.; Kerschen, K.A. (Black and Veatch, Kansas City, MO (United States)); Hutchison, G. (Solar Kinetics, Inc., Dallas, TX (United States)); Nowlan, M.J. (Spire Corp., Bedford, MA (United States))

1991-08-01T23:59:59.000Z

435

Flat-Plate Photovoltaic Modules  

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

Flat-plate photovoltaic (PV) modules are made of several components, including the front surface materials, encapsulant, rear surface, and frame.

436

WSRC Nuclear Materials Cost Module  

National Nuclear Security Administration (NNSA)

Office (GAO) WSRC NM Cost Module Generates WSRC monthly and fiscal year to date Inventory and Manufacturing Statement for government owned accountable nuclear materials....

437

Adjustable extender for instrument module  

DOE Patents (OSTI)

A blank extender module used to mount an instrument module in front of its console for repair or test purposes has been equipped with a rotatable mount and means for locking the mount at various angles of rotation for easy accessibility. The rotatable mount includes a horizontal conduit supported by bearings within the blank module. The conduit is spring-biased in a retracted position within the blank module and in this position a small gear mounted on the conduit periphery is locked by a fixed pawl. The conduit and instrument mount can be pulled into an extended position with the gear clearing the pawl to permit rotation and adjustment of the instrument.

Sevec, J.B.; Stein, A.D.

1975-11-01T23:59:59.000Z

438

Sensitivity to Gravitational Waves from Compact Binary Coalescences Achieved during LIGO's Fifth and Virgo's First Science Run  

E-Print Network (OSTI)

We summarize the sensitivity achieved by the LIGO and Virgo gravitational wave detectors for compact binary coalescence (CBC) searches during LIGO's fifth science run and Virgo's first science run. We present noise spectral density curves for each of the four detectors that operated during these science runs which are representative of the typical performance achieved by the detectors for CBC searches. These spectra are intended for release to the public as a summary of detector performance for CBC searches during these science runs.

The LIGO Scientific Collaboration; the Virgo Collaboration; J. Abadie; B. P. Abbott; R. Abbott; M Abernathy; T. Accadia; F. Acernese; C. Adams; R. Adhikari; P. Ajith; B. Allen; G. Allen; E. Amador Ceron; R. S. Amin; S. B. Anderson; W. G. Anderson; F. Antonucci; S. Aoudia; M. A. Arain; M. Araya; M. Aronsson; K. G. Arun; Y. Aso; S. Aston; P. Astone; D. E. Atkinson; P. Aufmuth; C. Aulbert; S. Babak; P. Baker; G. Ballardin; S. Ballmer; D. Barker; S. Barnum; F. Barone; B. Barr; P. Barriga; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; J. Bauchrowitz; Th. S. Bauer; B. Behnke; M. G. Beker; M. Benacquista; A. Bertolini; J. Betzwieser; N. Beveridge; P. T. Beyersdorf; S. Bigotta; I. A. Bilenko; G. Billingsley; J. Birch; S. Birindelli; R. Biswas; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; M. Blom; C. Boccara; O. Bock; T. P. Bodiya; R. Bondarescu; F. Bondu; L. Bonelli; R. Bork; M. Born; S. Bose; L. Bosi; M. Boyle; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; J. E. Brau; J. Breyer; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; M. Britzger; A. F. Brooks; D. A. Brown; R. Budzy?ski; T. Bulik; H. J. Bulten; A. Buonanno; J. Burguet--Castell; O. Burmeister; D. Buskulic; R. L. Byer; L. Cadonati; G. Cagnoli; E. Calloni; J. B. Camp; E. Campagna; P. Campsie; J. Cannizzo; K. C. Cannon; B. Canuel; J. Cao; C. Capano; F. Carbognani; S. Caride; S. Caudill; M. Cavagliŕ; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; T. Chalermsongsak; E. Chalkley; P. Charlton; E. Chassande-Mottin; S. Chelkowski; Y. Chen; A. Chincarini; N. Christensen; S. S. Y. Chua; C. T. Y. Chung; D. Clark; J. Clark; J. H. Clayton; F. Cleva; E. Coccia; C. N. Colacino; J. Colas; A. Colla; M. Colombini; R. Conte; D. Cook; T. R. Corbitt; C. Corda; N. Cornish; A. Corsi; C. A. Costa; J. -P. Coulon; D. Coward; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; R. M. Culter; A. Cumming; L. Cunningham; E. Cuoco; K. Dahl; S. L. Danilishin; R. Dannenberg; S. D'Antonio; K. Danzmann; A. Dari; K. Das; V. Dattilo; B. Daudert; M. Davier; G. Davies; A. Davis; E. J. Daw; R. Day; T. Dayanga; R. De Rosa; D. DeBra; J. Degallaix; M. del Prete; V. Dergachev; R. DeRosa; R. DeSalvo; P. Devanka; S. Dhurandhar; L. Di Fiore; A. Di Lieto; I. Di Palma; M. Di Paolo Emilio; A. Di Virgilio; M. Díaz; A. Dietz; F. Donovan; K. L. Dooley; E. E. Doomes; S. Dorsher; E. S. D. Douglas; M. Drago; R. W. P. Drever; J. C. Driggers; J. Dueck; J. -C. Dumas; T. Eberle; M. Edgar; M. Edwards; A. Effler; P. Ehrens; R. Engel; T. Etzel; M. Evans; T. Evans; V. Fafone; S. Fairhurst; Y. Fan; B. F. Farr; D. Fazi; H. Fehrmann; D. Feldbaum; I. Ferrante; F. Fidecaro; L. S. Finn; I. Fiori; R. Flaminio; M. Flanigan; K. Flasch; S. Foley; C. Forrest; E. Forsi; N. Fotopoulos; J. -D. Fournier; J. Franc; S. Frasca; F. Frasconi; M. Frede; M. Frei; Z. Frei; A. Freise; R. Frey; T. T. Fricke; D. Friedrich; P. Fritschel; V. V. Frolov; P. Fulda; M. Fyffe; L. Gammaitoni; J. A. Garofoli; F. Garufi; G. Gemme; E. Genin; A. Gennai; I. Gholami; S. Ghosh; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; C. Gill; E. Goetz; L. M. Goggin; G. González; M. L. Gorodetsky; S. Goßler; R. Gouaty; C. Graef; M. Granata; A. Grant; S. Gras; C. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Greverie; R. Grosso; H. Grote; S. Grunewald; G. M. Guidi; E. K. Gustafson; R. Gustafson; B. Hage; P. Hall; J. M. Hallam; D. Hammer; G. Hammond; J. Hanks; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; K. Haughian; K. Hayama; J. Heefner; H. Heitmann; P. Hello; I. S. Heng; A. Heptonstall; M. Hewitson; S. Hild; E. Hirose; D. Hoak; K. A. Hodge; K. Holt; D. J. Hosken; J. Hough; E. Howell; D. Hoyland; D. Huet; B. Hughey; S. Husa; S. H. Huttner; T. Huynh--Dinh; D. R. Ingram; R. Inta; T. Isogai; A. Ivanov; P. Jaranowski; W. W. Johnson; D. I. Jones; G. Jones; R. Jones; L. Ju; P. Kalmus; V. Kalogera; S. Kandhasamy; J. Kanner; E. Katsavounidis; K. Kawabe; S. Kawamura; F. Kawazoe; W. Kells; D. G. Keppel; A. Khalaidovski; F. Y. Khalili; E. A. Khazanov; C. Kim; H. Kim; P. J. King; D. L. Kinzel; J. S. Kissel; S. Klimenko; V. Kondrashov; R. Kopparapu; S. Koranda; I. Kowalska; D. Kozak; T. Krause; V. Kringel; S. Krishnamurthy; B. Krishnan; A. Królak; G. Kuehn; J. Kullman; R. Kumar; P. Kwee; M. Landry; M. Lang; B. Lantz; N. Lastzka; A. Lazzarini; P. Leaci; J. Leong; I. Leonor; N. Leroy; N. Letendre; J. Li; T. G. F. Li; H. Lin; P. E. Lindquist; N. A. Lockerbie; D. Lodhia; M. Lorenzini; V. Loriette; M. Lormand; G. Losurdo; P. Lu; J. Luan; M. Lubinski; A. Lucianetti; H. Lück; A. Lundgren; B. Machenschalk; M. MacInnis; J. M. Mackowski; M. Mageswaran; K. Mailand; E. Majorana; C. Mak; N. Man; I. Mandel; V. Mandic; M. Mantovani; F. Marchesoni; F. Marion; S. Márka; Z. Márka; E. Maros; J. Marque; F. Martelli

2010-03-12T23:59:59.000Z

439

Coal liquefaction process streams characterization and evaluation: Analysis of coal-derived synthetic crude from HRI CTSL Run CC-15 and HRI Run CMSL-2  

SciTech Connect

Under subcontract from CONSOL Inc. (US DOE Contract No. DE-AC22-89PC89883), IIT Research Institute, National Institute for Petroleum and Energy Research applied a suite of petroleum inspection tests to two direct coal liquefactions net product oils produced in two direct coal liquefaction processing runs. Two technical reports, authored by NIPER, are presented here. The following assessment briefly describes the two coal liquefaction runs and highlights the major findings of the project. It generally is concluded that the methods used in these studies can help define the value of liquefaction products and the requirements for further processing. The application of these methods adds substantially to our understanding of the coal liquefaction process and the chemistry of coal-derived materials. These results will be incorporated by CONSOL into a general overview of the application of novel analytical techniques to coal-derived materials at the conclusion of this contract.

Sturm, G.P. Jr.; Kim, J.; Shay, J. [National Inst. for Petroleum and Energy Research, Bartlesville, OK (United States)

1994-01-01T23:59:59.000Z

440

SLUDGE BATCH SUPPLEMENTAL SRAT RUNS EFFECTS OF YIELD STRESS AND CYCLE TIME INCREASE  

DOE Green Energy (OSTI)

The Defense Waste Processing Facility (DWPF) has transitioned from Sludge Batch 5 (SB5) processing to Sludge Batch 6 (SB6) processing. Phase III-Tank 40 Chemical Process Cell (CPC) flowsheet simulations have been completed to determine the initial processing conditions for the DWPF transition. The impact of higher yield stress (SB-25) and cycle time extension (SB6-26) on the physical and chemical effects of SB6 processing during the SRAT (Sludge Receipt and Adjustment Tank) cycle were evaluated. No significant impacts on the SRAT chemistry were noted during the higher yield stress run. In particular, no impact on mercury stripping was noted, indicating that settling of elemental mercury was not the primary factor in the low mercury recovery noted in the flowsheet testing. The SRAT product from this run retained the higher yield stress of the starting sludge. The run indicated that ultrasonication is an effective tool to increase the yield stress of simulants to targeted values and the chemistry of downstream processing is not impacted. Significant differences were noted in the cycle time extension test compared to the Phase III flowsheet baseline runs. Large decreases in the ammonia and hydrogen generation rates were noted along with reduced mercury stripping efficiency. The latter effect is similar to that of operating under a high acid stoichiometry. It is conceivable that, under the distinctly different conditions of high formic acid concentration (high acid run) or slow formic acid addition (extended run), that mercury could form amalgams with noble metals, possibly rendering both inert. Thus, the removal of free mercury and noble metals could decrease the rate of catalytic formic acid reactions which would decrease generation of ammonium and hydrogen. The potential underlying reasons for the behavior noted during this run would require additional testing.

Fernandez, A.

2010-08-10T23:59:59.000Z

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441

Light modulating device  

DOE Patents (OSTI)

In a device for transmitting light, means for controlling the transmissivity of the device, including a ceramic, reversibly electrochromic, crystalline element having a highly reflective state when injected with electrons and charge compensating ions and a highly transmissive state when the electrons and ions are removed, the crystalline element being characterized as having a reflectivity of at least 50% in the reflective state and not greater than 10% in the transmissive state, and means for modulating the crystalline element between the reflective and transmissive states by injecting ions into the crystalline element in response to an applied electrical current of a first polarity and removing the ions in response to an applied electrical current of a second polarity are disclosed. 1 fig.

Rauh, R.D.; Goldner, R.B.

1989-12-26T23:59:59.000Z

442

Photovoltaic module mounting system  

SciTech Connect

A solar array mounting system having unique installation, load distribution, and grounding features, and which is adaptable for mounting solar panels having no external frame. The solar array mounting system includes flexible, pedestal-style feet and structural links connected in a grid formation on the mounting surface. The photovoltaic modules are secured in place via the use of attachment clamps that grip the edge of the typically glass substrate. The panel mounting clamps are then held in place by tilt brackets and/or mid-link brackets that provide fixation for the clamps and align the solar panels at a tilt to the horizontal mounting surface. The tilt brackets are held in place atop the flexible feet and connected link members thus creating a complete mounting structure.

Miros, Robert H. J. (Fairfax, CA); Mittan, Margaret Birmingham (Oakland, CA); Seery, Martin N. (San Rafael, CA); Holland, Rodney H. (Novato, CA)

2012-04-17T23:59:59.000Z

443

Photovoltaic module mounting system  

SciTech Connect

A solar array mounting system having unique installation, load distribution, and grounding features, and which is adaptable for mounting solar panels having no external frame. The solar array mounting system includes flexible, pedestal-style feet and structural links connected in a grid formation on the mounting surface. The photovoltaic modules are secured in place via the use of attachment clamps that grip the edge of the typically glass substrate. The panel mounting clamps are then held in place by tilt brackets and/or mid-link brackets that provide fixation for the clamps and align the solar panels at a tilt to the horizontal mounting surface. The tilt brackets are held in place atop the flexible feet and connected link members thus creating a complete mounting structure.

Miros, Robert H. J.; Mittan, Margaret Birmingham; Seery, Martin N; Holland, Rodney H

2012-09-18T23:59:59.000Z

444

Search for gravitational-wave bursts associated with gamma-ray bursts using data from LIGO Science Run 5 and Virgo Science Run 1  

E-Print Network (OSTI)

We present the results of a search for gravitational-wave bursts associated with 137 gamma-ray bursts (GRBs) that were detected by satellite-based gamma-ray experiments during the fifth LIGO science run and first Virgo science run. The data used in this analysis were collected from 2005 November 4 to 2007 October 1, and most of the GRB triggers were from the Swift satellite. The search uses a coherent network analysis method that takes into account the different locations and orientations of the interferometers at the three LIGO-Virgo sites. We find no evidence for gravitational-wave burst signals associated with this sample of GRBs. Using simulated short-duration (<1 s) waveforms, we set upper limits on the amplitude of gravitational waves associated with each GRB. We also place lower bounds on the distance to each GRB under the assumption of a fixed energy emission in gravitational waves, with typical limits of D ~ 15 Mpc (E_GW^iso / 0.01 M_o c^2)^1/2 for emission at frequencies around 150 Hz, where the LIGO-Virgo detector network has best sensitivity. We present astrophysical interpretations and implications of these results, and prospects for corresponding searches during future LIGO-Virgo runs.

LIGO Scientific Collaboration; Virgo Collaboration; B. P. Abbott; R. Abbott; F. Acernese; R. Adhikari; P. Ajith; B. Allen; G. Allen; M. Alshourbagy; R. S. Amin; S. B. Anderson; W. G. Anderson; F. Antonucci; S. Aoudia; M. A. Arain; M. Araya; H. Armandula; P. Armor; K. G. Arun; Y. Aso; S. Aston; P. Astone; P. Aufmuth; C. Aulbert; S. Babak; P. Baker; G. Ballardin; S. Ballmer; C. Barker; D. Barker; F. Barone; B. Barr; P. Barriga; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; Th. S. Bauer; B. Behnke; M. Beker; M. Benacquista; J. Betzwieser; P. T. Beyersdorf; S. Bigotta; I. A. Bilenko; G. Billingsley; S. Birindelli; R. Biswas; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; C. Boccara; T. P. Bodiya; L. Bogue; F. Bondu; L. Bonelli; R. Bork; V. Boschi; S. Bose; L. Bosi; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; J. E. Brau; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; C. Van Den Broeck; A. F. Brooks; D. A. Brown; A. Brummit; G. Brunet; R. Budzy?ski; T. Bulik; A. Bullington; H. J. Bulten; A. Buonanno; O. Burmeister; D. Buskulic; R. L. Byer; L. Cadonati; G. Cagnoli; E. Calloni; J. B. Camp; E. Campagna; J. Cannizzo; K. C. Cannon; B. Canuel; J. Cao; F. Carbognani; L. Cardenas; S. Caride; G. Castaldi; S. Caudill; M. Cavagliŕ; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; T. Chalermsongsak; E. Chalkley; P. Charlton; E. Chassande-Mottin; S. Chatterji; S. Chelkowski; Y. Chen; A. Chincarini; N. Christensen; C. T. Y. Chung; D. Clark; J. Clark; J. H. Clayton; F. Cleva; E. Coccia; T. Cokelaer; C. N. Colacino; J. Colas; A. Colla; M. Colombini; R. Conte; D. Cook; T. R. C. Corbitt; C. Corda; N. Cornish; A. Corsi; J. -P. Coulon; D. Coward; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; R. M. Culter; A. Cumming; L. Cunningham; E. Cuoco; S. L. Danilishin; S. D'Antonio; K. Danzmann; A. Dari; V. Dattilo; B. Daudert; M. Davier; G. Davies; E. J. Daw; R. Day; R. De Rosa; D. DeBra; J. Degallaix; M. del Prete; V. Dergachev; S. Desai; R. DeSalvo; S. Dhurandhar; L. Di Fiore; A. Di Lieto; M. Di Paolo Emilio; A. Di Virgilio; M. Díaz; A. Dietz; F. Donovan; K. L. Dooley; E. E. Doomes; M. Drago; R. W. P. Drever; J. Dueck; I. Duke; J. -C. Dumas; J. G. Dwyer; C. Echols; M. Edgar; M. Edwards; A. Effler; P. Ehrens; E. Espinoza; T. Etzel; M. Evans; T. Evans; V. Fafone; S. Fairhurst; Y. Faltas; Y. Fan; D. Fazi; H. Fehrmann; I. Ferrante; F. Fidecaro; L. S. Finn; I. Fiori; R. Flaminio; K. Flasch; S. Foley; C. Forrest; N. Fotopoulos; J. -D. Fournier; J. Franc; A. Franzen; S. Frasca; F. Frasconi; M. Frede; M. Frei; Z. Frei; A. Freise; R. Frey; T. Fricke; P. Fritschel; V. V. Frolov; M. Fyffe; V. Galdi; L. Gammaitoni; J. A. Garofoli; F. Garufi; G. Gemme; E. Genin; A. Gennai; I. Gholami; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; K. Goda; E. Goetz; L. M. Goggin; G. González; M. L. Gorodetsky; S. Goeßzetler; S. Goßler; R. Gouaty; M. Granata; V. Granata; A. Grant; S. Gras; C. Gray; M. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Greverie; F. Grimaldi; R. Grosso; H. Grote; S. Grunewald; M. Guenther; G. Guidi; E. K. Gustafson; R. Gustafson; B. Hage; J. M. Hallam; D. Hammer; G. D. Hammond; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; K. Haughian; K. Hayama; J. Heefner; H. Heitmann; P. Hello; I. S. Heng; A. Heptonstall; M. Hewitson; S. Hild; E. Hirose; D. Hoak; K. A. Hodge; K. Holt; D. J. Hosken; J. Hough; D. Hoyland; D. Huet; B. Hughey; S. H. Huttner; D. R. Ingram; T. Isogai; M. Ito; A. Ivanov; P. Jaranowski; B. Johnson; W. W. Johnson; D. I. Jones; G. Jones; R. Jones; L. Sancho de la Jordana; L. Ju; P. Kalmus; V. Kalogera; S. Kandhasamy; J. Kanner; D. Kasprzyk; E. Katsavounidis; K. Kawabe; S. Kawamura; F. Kawazoe; W. Kells; D. G. Keppel; A. Khalaidovski; F. Y. Khalili; R. Khan; E. Khazanov; P. King; J. S. Kissel; S. Klimenko; K. Kokeyama; V. Kondrashov; R. Kopparapu; S. Koranda; I. Kowalska; D. Kozak; B. Krishnan; A. Królak; R. Kumar; P. Kwee; P. La Penna; P. K. Lam; M. Landry; B. Lantz; A. Lazzarini; H. Lei; M. Lei; N. Leindecker; I. Leonor; N. Leroy; N. Letendre; C. Li; H. Lin; P. E. Lindquist; T. B. Littenberg; N. A. Lockerbie; D. Lodhia; M. Longo; M. Lorenzini; V. Loriette; M. Lormand; G. Losurdo; P. Lu; M. Lubinski; A. Lucianetti; H. Lück; B. Machenschalk; M. MacInnis; J. -M. Mackowski; M. Mageswaran; K. Mailand; E. Majorana; N. Man; I. Mandel; V. Mandic; M. Mantovani; F. Marchesoni; F. Marion; S. Márka; Z. Márka; A. Markosyan; J. Markowitz; E. Maros; J. Marque; F. Martelli; I. W. Martin; R. M. Martin; J. N. Marx; K. Mason; A. Masserot; F. Matichard; L. Matone; R. A. Matzner; N. Mavalvala; R. McCarthy; D. E. McClelland; S. C. McGuire; M. McHugh; G. McIntyre; D. J. A. McKechan; K. McKenzie; M. Mehmet; A. Melatos; A. C. Melissinos; G. Mendell; D. F. Menéndez

2009-08-26T23:59:59.000Z

445

Models of Photovoltaic Module Performance  

Science Conference Proceedings (OSTI)

An analysis of data collected over a three-year period at Pacific Gas and Electric Company's Photovoltaic Test Facility has enabled the prediction of photovoltaic (PV) module performance under conditions different from the test environment. The equations developed by PG&E provide a basis for rating photovoltaic modules and systems more accurately than in the past.

1988-09-01T23:59:59.000Z

446

RHIC PERFORMANCE DURING THE FY10 200 GeV Au+Au HEAVY ION RUN  

SciTech Connect

Since the last successful RHIC Au+Au run in 2007 (Run-7), the RHIC experiments have made numerous detector improvements and upgrades. In order to benefit from the enhanced detector capabilities and to increase the yield of rare events in the acquired heavy ion data a significant increase in luminosity is essential. In Run-7 RHIC achieved an average store luminosity of = 12 x 10{sup 26} cm{sup -2} s{sup -1} by operating with 103 bunches (out of 111 possible), and by squeezing to {beta}* = 0.85 m. This year, Run-10, we achieved = 20 x 10{sup 26} cm{sup -2} s{sup -1}, which put us an order of magnitude above the RHIC design luminosity. To reach these luminosity levels we decreased {beta}* to 0.75 m, operated with 111 bunches per ring, and reduced longitudinal and transverse emittances by means of bunched-beam stochastic cooling. In addition we introduced a lattice to suppress intra-beam scattering (IBS) in both RHIC rings, upgraded the RF control system, and separated transition crossing times in the two rings. We present an overview of the changes and the results of Run-10 performance.

Brown, K.A.; Ahrens, L.; Bai, M.; Beebe-Wang, J.; Blaskiewicz, M.; Brennan, J.; Bruno, D.; Carlson, C.; Connolly, R.; de Maria, R.; D’Ottavio, T.; Drees, A.; Fischer, W.; Fu, W.; Gardner, C.; Gassner, D.; Glenn, J.W.; Hao, Y.; Harvey, M.; Hayes, T.; Hoff, L.; Huang, H.; Laster, J.; Lee, R.; Litvinenko, V.; Luo, Y.; MacKay, W.; Marr, G.; Marusic, A.; Mernick, K.; Michnoff, R.; Minty, M.; Montag, C.; Morris, J.; Nemesure, S.; Oerter, B.; Pilat, F.; Ptitsyn, V.; Robert-Demolaize, G.; Roser, T.; Russo, T.; Sampson, P.; Sandberg, J.; Satogata, T.; Severino, F.; Schoefer, V.; Schultheiss, C.; Smith, K.; Steski, D.; Tepikian, S.; Theisen, C.; Thieberger, P.; Trbojevic, D.; Tsoupas, N.; Tuozzolo, J.; Wang, G.; Wilinski, M.; Zaltsman, A.; Zeno, K.; Zhang, S.Y.

2010-05-23T23:59:59.000Z

447

RHIC PERFORMANCE DURING THE FY10 200 GeV Au+Au HEAVY ION RUN  

Science Conference Proceedings (OSTI)

Since the last successful RHIC Au+Au run in 2007 (Run-7), the RHIC experiments have made numerous detector improvements and upgrades. In order to benefit from the enhanced detector capabilities and to increase the yield of rare events in the acquired heavy ion data a significant increase in luminosity is essential. In Run-7 RHIC achieved an average store luminosity of = 12 x 10{sup 26} cm{sup -2} s{sup -1} by operating with 103 bunches (out of 111 possible), and by squeezing to {beta}* = 0.85 m. This year, Run-10, we achieved = 20 x 10{sup 26} cm{sup -2} s{sup -1}, which put us an order of magnitude above the RHIC design luminosity. To reach these luminosity levels we decreased {beta}* to 0.75 m, operated with 111 bunches per ring, and reduced longitudinal and transverse emittances by means of bunched-beam stochastic cooling. In addition we introduced a lattice to suppress intra-beam scattering (IBS) in both RHIC rings, upgraded the RF control system, and separated transition crossing times in the two rings. We present an overview of the changes and the results of Run-10 performance.

Brown, K.A.; Ahrens, L.; Bai, M.; Beebe-Wang, J.; Blaskiewicz, M.; Brennan, J.; Bruno, D.; Carlson, C.; Connolly, R.; de Maria, R.; D’Ottavio, T.; Drees, A.; Fischer, W.; Fu, W.; Gardner, C.; Gassner, D.; Glenn, J.W.; Hao, Y.; Harvey, M.; Hayes, T.; Hoff, L.; Huang, H.; Laster, J.; Lee, R.; Litvinenko, V.; Luo, Y.; MacKay, W.; Marr, G.; Marusic, A.; Mernick, K.; Michnoff, R.; Minty, M.; Montag, C.; Morris, J.; Nemesure, S.; Oerter, B.; Pilat, F.; Ptitsyn, V.; Robert-Demolaize, G.; Roser, T.; Russo, T.; Sampson, P.; Sandberg, J.; Satogata, T.; Severino, F.; Schoefer, V.; Schultheiss, C.; Smith, K.; Steski, D.; Tepikian, S.; Theisen, C.; Thieberger, P.; Trbojevic, D.; Tsoupas, N.; Tuozzolo, J.; Wang, G.; Wilinski, M.; Zaltsman, A.; Zeno, K.; Zhang, S.Y.

2010-05-23T23:59:59.000Z

448

Force Modulator System  

SciTech Connect

Many metal parts manufacturers use large metal presses to shape sheet metal into finished products like car body parts, jet wing and fuselage surfaces, etc. These metal presses take sheet metal and - with enormous force - reshape the metal into a fully formed part in a manner of seconds. Although highly efficient, the forces involved in forming metal parts also damage the press itself, limit the metals used in part production, slow press operations and, when not properly controlled, cause the manufacture of large volumes of defective metal parts. To date, the metal-forming industry has not been able to develop a metal-holding technology that allows full control of press forces during the part forming process. This is of particular importance in the automotive lightweighting efforts under way in the US automotive manufacturing marketplace. Metalforming Controls Technology Inc. (MC2) has developed a patented press control system called the Force Modulator that has the ability to control these press forces, allowing a breakthrough in stamping process control. The technology includes a series of hydraulic cylinders that provide controlled tonnage at all points in the forming process. At the same time, the unique cylinder design allows for the generation of very high levels of clamping forces (very high tonnages) in very small spaces; a requirement for forming medium and large panels out of HSS and AHSS. Successful production application of these systems testing at multiple stamping operations - including Ford and Chrysler - has validated the capabilities and economic benefits of the system. Although this technology has been adopted in a number of stamping operations, one of the primary barriers to faster adoption and application of this technology in HSS projects is system cost. The cost issue has surfaced because the systems currently in use are built for each individual die as a custom application, thus driving higher tooling costs. This project proposed to better marry the die-specific Force Modulator technology with stamping presses in the form of a press cushion. This system would be designed to operate the binder ring for multiple parts, thus cutting the per-die cost of the technology. This study reports the results of technology field application. This project produced the following conclusions: (1) The Force Modulator system is capable of operating at very high tempos in the stamping environment; (2) The company can generate substantial, controlled holding tonnage (binder ring pressure) necessary to hold high strength steel parts for proper formation during draw operations; (3) A single system can be designed to operate with a family of parts, thus significantly reducing the per-die cost of a FM system; (4) High strength steel parts made with these systems appear to show significant quality improvements; (5) The amounts of steel required to make these parts is typically less than the amounts required with traditional blank-holding technologies; and (6) This technology will aid in the use of higher strength steels in auto and truck production, thus reducing weight and improving fuel efficiency.

Redmond Clark

2009-04-30T23:59:59.000Z

449

Department of Energy to Provide Supercomputing Time to Run NOAA's Climate  

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

to Provide Supercomputing Time to Run NOAA's to Provide Supercomputing Time to Run NOAA's Climate Change Models Department of Energy to Provide Supercomputing Time to Run NOAA's Climate Change Models September 8, 2008 - 9:45am Addthis WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing

450

New Carlsbad Field Office Manager Hits the Ground Running | Department of  

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

Carlsbad Field Office Manager Hits the Ground Running Carlsbad Field Office Manager Hits the Ground Running New Carlsbad Field Office Manager Hits the Ground Running March 16, 2012 - 12:00pm Addthis Carlsbad Field Office Manager Joe Franco, right, exchanges greetings with Mark Long, Jr., a Washington TRU Solutions LLC employee, at a WIPP all-hands meeting in February. “WIPP is America’s only and the world’s best,” Franco said of the deep geologic repository for nuclear waste. Carlsbad Field Office Manager Joe Franco, right, exchanges greetings with Mark Long, Jr., a Washington TRU Solutions LLC employee, at a WIPP all-hands meeting in February. "WIPP is America's only and the world's best," Franco said of the deep geologic repository for nuclear waste. CARLSBAD, N.M. - If you want to catch up with Carlsbad Field Office

451

PNNL's Lab Homes Run Energy-Efficient Technologies Through the Paces |  

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

PNNL's Lab Homes Run Energy-Efficient Technologies Through the PNNL's Lab Homes Run Energy-Efficient Technologies Through the Paces PNNL's Lab Homes Run Energy-Efficient Technologies Through the Paces November 14, 2013 - 10:10am Addthis At the Energy Department's Pacific Northwest National Laboratory (PNNL), researchers are using two modular homes to test energy-efficient products and calculate their energy savings. Researchers test new technologies in the Experimental home (pictured above), while the Baseline home (not pictured) serves as a control and doesn’t get changed during any of the experiments. | Photo courtesy of PNNL. At the Energy Department's Pacific Northwest National Laboratory (PNNL), researchers are using two modular homes to test energy-efficient products and calculate their energy savings. Researchers test new technologies in

452

FAQs Queueing and Running on BG/P Systems | Argonne Leadership Computing  

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

Reservations Queueing Running Jobs HTC Mode MPMD and MPIEXEC FAQs Queueing and Running Debugging and Profiling Performance Tools and APIs IBM References Software and Libraries Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] FAQs Queueing and Running on BG/P Systems Contents Is there a limit on stack size? What are typical boot times for a job My job had empty stdout, and the stderr looks like it died immediately after it started. What happened? Where can I find the details of a job submission? Back to top Is there a limit on stack size? There is no strict limit on the stack size. The stack and heap grow towards each other until a collision occurs. If your job terminates with an error

453

PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Pattern  

SciTech Connect

Download Citation Email Print Request Permissions Save to Project The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their run-time environments. The growing gap is exacerbated by exploratory, data-intensive analytics, such as querying simulation data with multivariate, spatio-temporal constraints, which induces heterogeneous access patterns that stress the performance of the underlying storage system. Previous work addresses data layout and indexing techniques to improve query performance for a single access pattern, which is not sufficient for complex analytics jobs. We present PARLO a parallel run-time layout optimization framework, to achieve multi-level data layout optimization for scientific applications at run-time before data is written to storage. The layout schemes optimize for heterogeneous access patterns with user-specified priorities. PARLO is integrated with ADIOS, a high-performance parallel I/O middleware for large-scale HPC applications, to achieve user-transparent, light-weight layout optimization for scientific datasets. It offers simple XML-based configuration for users to achieve flexible layout optimization without the need to modify or recompile application codes. Experiments show that PARLO improves performance by 2 to 26 times for queries with heterogeneous access patterns compared to state-of-the-art scientific database management systems. Compared to traditional post-processing approaches, its underlying run-time layout optimization achieves a 56% savings in processing time and a reduction in storage overhead of up to 50%. PARLO also exhibits a low run-time resource requirement, while also limiting the performance impact on running applications to a reasonable level.

Gong, Zhenhuan [North Carolina State University, Raleigh; Boyuka, David [North Carolina State University, Raleigh; Zou, X [North Carolina State University, Raleigh; Liu, Gary [ORNL; Podhorszki, Norbert [ORNL; Klasky, Scott A [ORNL; Ma, Xiaosong [North Carolina State University, Raleigh; Samatova, Nagiza F [ORNL

2013-01-01T23:59:59.000Z

454

THE COUPLING CORRECTION SYSTEM AT RHIC: RESULTS FOR THE RUN 2000 AND PLANS FOR 2001.  

SciTech Connect

The RHIC coupling correction system has been commissioned during the year 2000 run, which marked the successful first year of operation of the machine. The RHIC coupling correction system is described with particular emphasis on its flexibility, which allows using both global and local coupling compensation techniques. Coupling measurements and correction data are presented for the RHIC Blue and Yellow rings, together with the procedure used to reduce the minimum tune separation to 0.001, the typical resolution for tune measurements during run 2000. They further demonstrate how local coupling compensation in the interaction regions substantially reduces the strength of the skew quadrupole families used for global coupling compensation.

PILAT,F.; FISCHER,W.; PEGGS,S.; PTITSYN,V.; TEPIKIAN,S.

2001-06-18T23:59:59.000Z

455

THE COUPLING CORRECTION SYSTEM AT RHIC: RESULTS FOR THE RUN 2000 AND PLANS FOR 2001.  

SciTech Connect

The RHIC coupling correction system has been commissioned during the Year 2000 run, which marked the successful first year of operation of the machine. The RHIC coupling correction system is described with particular emphasis on its flexibility, which allows using both global and local coupling compensation techniques. Coupling measurements and correction data are presented for the RHIC Blue and Yellow rings, together with the procedure used to reduce the minimum tune separation to 0.001, the typical resolution for tune measurements during run 2000. They further demonstrate how local coupling compensation in the interaction region substantially reduces the strength of the skew quadrupole families used for global coupling compensation.

PILAT,F.; FISCHER,W.; PEGGS,S.; PTITSYN,V.; TEPIKIAN,S.

2001-06-18T23:59:59.000Z

456

GridRun: A lightweight packaging and execution environment forcompact, multi-architecture binaries  

SciTech Connect

GridRun offers a very simple set of tools for creating and executing multi-platform binary executables. These ''fat-binaries'' archive native machine code into compact packages that are typically a fraction the size of the original binary images they store, enabling efficient staging of executables for heterogeneous parallel jobs. GridRun interoperates with existing distributed job launchers/managers like Condor and the Globus GRAM to greatly simplify the logic required launching native binary applications in distributed heterogeneous environments.

Shalf, John; Goodale, Tom

2004-02-01T23:59:59.000Z

457

Emergent Run-and-Tumble Behavior in a Simple Model of Chlamydomonas with Intrinsic Noise  

E-Print Network (OSTI)

Recent experiments on the green alga Chlamydomonas that swims using synchronized beating of a pair of flagella have revealed that it exhibits a run-and-tumble behavior similar to that of bacteria such as E. Coli. Using a simple purely hydrodynamic model that incorporates a stroke cycle and an intrinsic Gaussian white noise, we show that a stochastic run-and-tumble behavior could emerge, due to the nonlinearity of the combined synchronization-rotation-translation dynamics. This suggests the intriguing possibility that the alga might exploit nonlinear mechanics---as opposed to sophisticated biochemical circuitry as used by bacteria---to control its behavior.

Rachel R. Bennett; Ramin Golestanian

2012-11-14T23:59:59.000Z

458

Photovoltaic solar concentrator module  

DOE Patents (OSTI)

This invention consists of a planar photovoltaic concentrator module for producing an electrical signal from incident solar radiation which includes an electrically insulating housing having a front wall, an opposing back wall and a hollow interior. A solar cell having electrical terminals is positioned within the interior of the housing. A planar conductor is connected with a terminal of the solar cell of the same polarity. A lens forming the front wall of the housing is operable to direct solar radiation incident to the lens into the interior of the housing. A refractive optical element in contact with the solar cell and facing the lens receives the solar radiation directed into the interior of the housing by the lens and directs the solar radiation to the solar cell to cause the solar cell to generate an electrical signal. An electrically conductive planar member is positioned in the housing to rest on the housing back wall in supporting relation with the solar cell terminal of opposite polarity. The planar member is operable to dissipate heat radiated by the solar cell as the solar cell generates an electrical signal and further forms a solar cell conductor connected with the solar cell terminal to permit the electrical signal generated by the solar cell to be measured between the planar member and the conductor.

Chiang, C.J.

1991-05-16T23:59:59.000Z

459

Living Systems Energy Module  

DOE Green Energy (OSTI)

The Living Systems Energy Module, renamed Voyage from the Sun, is a twenty-lesson curriculum designed to introduce students to the major ways in which energy is important in living systems. Voyage from the Sun tells the story of energy, describing its solar origins, how it is incorporated into living terrestrial systems through photosynthesis, how it flows from plants to herbivorous animals, and from herbivores to carnivores. A significant part of the unit is devoted to examining how humans use energy, and how human impact on natural habitats affects ecosystems. As students proceed through the unit, they read chapters of Voyage from the Sun, a comic book that describes the flow of energy in story form (Appendix A). During the course of the unit, an ``Energy Pyramid`` is erected in the classroom. This three-dimensional structure serves as a classroom exhibit, reminding students daily of the importance of energy and of the fragile nature of our living planet. Interactive activities teach students about adaptations that allow plants and animals to acquire, to use and to conserve energy. A complete list of curricular materials and copies of all activity sheets appear in Appendix B.

NONE

1995-09-26T23:59:59.000Z

460

Photovoltaic module with adhesion promoter  

SciTech Connect

Photovoltaic modules with adhesion promoters and methods for fabricating photovoltaic modules with adhesion promoters are described. A photovoltaic module includes a solar cell including a first surface and a second surface, the second surface including a plurality of interspaced back-side contacts. A first glass layer is coupled to the first surface by a first encapsulating layer. A second glass layer is coupled to the second surface by a second encapsulating layer. At least a portion of the second encapsulating layer is bonded directly to the plurality of interspaced back-side contacts by an adhesion promoter.

2013-10-08T23:59:59.000Z

Note: This page contains sample records for the topic "modules nems runs" 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.


461

Photovoltaic Cz Silicon Module Improvements  

DOE Green Energy (OSTI)

Work focused on reducing the cost per watt of Cz silicon photovoltaic modules under Phase II of Siemens Solar Industries' DOE/NREL PVMaT 4A subcontract is described in this report. New module designs were deployed in this phase of the contract, improvements in yield of over 10% were realized, and further implementation of Statistical Process Control was achieved during this phase. Module configurations representing a 12% cost reduction per watt were implemented in small scale production under Phase II of this contract. Yield improvements are described in detail, yield sensitivity to wafer thickness is quantified, and the deployment of SPC in critical process steps is reported here.

Jester, T. L.

1998-09-01T23:59:59.000Z

462

Biomass Energy Technology Module | Open Energy Information  

Open Energy Info (EERE)

Biomass Energy Technology Module Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biomass Energy Technology Module AgencyCompany Organization: World Bank Sector: Energy...

463

Module Encapsulation Materials, Processing and Testing (Presentation)  

DOE Green Energy (OSTI)

Study of PV module encapsulation materials, processing, and testing shows that overall module reliability is determined by all component materials and processing factors.

Pern, J.

2008-12-01T23:59:59.000Z

464

Operation of the DC current transformer intensity monitors at FNAL during run II  

SciTech Connect

Circulating beam intensity measurements at FNAL are provided by five DC current transformers (DCCT), one per machine. With the exception of the DCCT in the Recycler, all DCCT systems were designed and built at FNAL. This paper presents an overview of both DCCT systems, including the sensor, the electronics, and the front-end instrumentation software, as well as their performance during Run II.

Crisp, J.; Fellenz, B.; Heikkinen, D.; Ibrahim, M.A.; Meyer, T.; Vogel, G.; /Fermilab

2012-01-01T23:59:59.000Z

465

Automakers' Short-Run Responses to Changing Gasoline Prices and the Implications for Energy Policy  

E-Print Network (OSTI)

Automakers' Short-Run Responses to Changing Gasoline Prices and the Implications for Energy Policy Policy, 735 S. State St. #5224, Ann Arbor, MI 48109. Miller: Economic Analysis Group, U.S. Department of intervention, the market is likely to produce efficient outcomes.1 We examine the empirical relationship

Edwards, Paul N.

466

Authority in Online Disaster Relief Communities 1 Running Head: AUTHORITY IN ONLINE DISASTER RELIEF COMMUNITIES  

E-Print Network (OSTI)

). The magnitude of the disaster overwhelmed institutions normally responsible for providing relief--forums, bulletin boards, blogs, and personal websites--to coordinate a massive grassroots response to the disasterAuthority in Online Disaster Relief Communities 1 Running Head: AUTHORITY IN ONLINE DISASTER RELIEF

Kiesler, Sara

467

The average running time of an algorithm as a midpoint between fuzzy sets  

Science Conference Proceedings (OSTI)

In 2003, Nieto and Torres introduced the notions of segment and midpoint between fuzzy sets with the aim of giving applications to medicine [J.J. Nieto, A. Torres, Midpoints for fuzzy sets and their application in medicine, Artif. Intell. Med. 27 (2003) ... Keywords: Asymmetric distance, Fuzzy set, Midpoint, Running time of computing, Weighted maximum distance

Pedro Tirado; Oscar Valero

2009-05-01T23:59:59.000Z

468

Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths  

E-Print Network (OSTI)

of the valuable historical collections. In order to achieve accu- rate recognition results, a robust and efficientSegmentation of historical machine-printed documents using Adaptive Run Length Smoothing Stamatopoulos b , Nikos Papamarkos a a Department of Electrical and Computer Engineering, Democritus University

Gatos, Basilios

469

Statistical emulation of climate model projections based on precomputed GCM runs  

Science Conference Proceedings (OSTI)

We describe a new approach for emulating the output of a fully coupled climate model under arbitrary forcing scenarios that is based on a small set of precomputed runs from the model. We express temperature and precipitation as simple functions of ...

Stefano Castruccio; David J. McInerney; Michael L. Stein; Feifei Liu; Robert L. Jacob; Elisabeth J. Moyer

470

Modeling the Downwelling Longwave Radiation over a Groomed Ski Run under Clear Skies  

Science Conference Proceedings (OSTI)

The surface radiation budget of a groomed ski run is important to ski racing. Variables such as snow-surface temperature and liquid water content depend upon the surface radiation budget and are crucial to preparing fast skis. This case study ...

Rosie Howard; Roland Stull

2013-07-01T23:59:59.000Z

471

Medical Technology 1 Running Head: USE OF TECHNOLGY IN A MEDICAL SETTING  

E-Print Network (OSTI)

Medical Technology 1 Running Head: USE OF TECHNOLGY IN A MEDICAL SETTING The Use of Different Technologies During a Medical Interview: Effects on Perceived Quality of Care Julia M. DeBlasio, Britt Caldwell of Technology GVU Technical Report # GIT-GVU-07-13 October, 2007 #12;Medical Technology 2 Abstract This two

472

Explaining Long-Run Changes in the Energy Intensity of the U.S. Economy  

E-Print Network (OSTI)

Recent events have revived interest in explaining the long-run changes in the energy intensity of the U.S. economy. We use a KLEM dataset for 35 industries over 39 years to decompose changes in the aggregate energy-GDP ...

Sue Wing, Ian.

473

Run-time Modeling and Estimation of Operating System Power Consumption  

E-Print Network (OSTI)

software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy of a commercial OS across a wide spectrum of applications to understand OS energy profiles and then proposes to track run- time OS energy profiles, the proposed routine level OS power model offers superior accuracy

John, Lizy Kurian

474

A library to run evolutionary algorithms in the cloud using mapreduce  

Science Conference Proceedings (OSTI)

We discuss ongoing development of an evolutionary algorithm library to run on the cloud. We relate how we have used the Hadoop open-source MapReduce distributed data processing framework to implement a single "island" with a potentially very large population. ... Keywords: Hadoop, cloud computing, evolutionary algorithms, mapreduce

Pedro Fazenda; James McDermott; Una-May O'Reilly

2012-04-01T23:59:59.000Z

475

The benefits and costs of DyC's run-time optimizations  

Science Conference Proceedings (OSTI)

DyC selectively dynamically compiles programs during their execution, utilizing the run-time-computed values of variables and data structures to apply optimizations that are based on partial evaluation. The dynamic optimizations are preplanned at static ... Keywords: dynamic compilation, specialization

Brian Grant; Markus Mock; Matthai Philipose; Craig Chambers; Susan J. Eggers

2000-09-01T23:59:59.000Z

476

Prototyping a fault-tolerant multiprocessor SoC with run-time fault recovery  

Science Conference Proceedings (OSTI)

Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high performance ICs. The advent of multiprocessor Systems-on-chips (SoCs) makes it even more challenging ... Keywords: fault-tolerance, multiprocessor system, network-on-chip, retargetable simulation, run-time verification, system-on-chip

Xinping Zhu; Wei Qin

2006-07-01T23:59:59.000Z

477

A new coupled fluid-structure modeling methodology for running ductile fracture  

Science Conference Proceedings (OSTI)

A coupled fluid-structure modeling methodology for running ductile fracture in pressurized pipelines has been developed. The pipe material and fracture propagation have been modeled using the finite-element method with a ductile fracture criterion. The ... Keywords: CFD, FEM, Fluid-structure, Fracture, Leak, Pipeline

H. O. Nordhagen; S. Kragset; T. Berstad; A. Morin; C. Dřrum; S. T. Munkejord

2012-03-01T23:59:59.000Z

478

1D Solution NMR Procedure (Bruker AVANCE Machines running TopSpin under WINDOWS XP)  

E-Print Network (OSTI)

1D Solution NMR Procedure (Bruker AVANCE Machines running TopSpin under WINDOWS XP) Jerry Hu, x7914 NMR yourself; Take everything ferromagnetic or vulnerable to magnetic field, such as mechanic watches them somewhere away from magnets; Table of Contents 1D Solution NMR Procedure

Akhmedov, Azer

479

Test report for run-in acceptance testing of hydrogen mitigation test pump-2  

DOE Green Energy (OSTI)

This document provides the results of the run-in test of the replacement mixer pump for the Tank 241-SY-101. The test was conducted at the 400 Area MASF facility between August 12 and September 29, 1994. The report includes findings, analysis, recommendations, and corrective actions taken.

Brewer, A.K.; Kolowith, R.

1995-01-01T23:59:59.000Z

480

Module Handbook Specialisation Biomass Energy  

E-Print Network (OSTI)

Target learning outcomes The module of Introduction and Basic concepts establishes the fundamental) Efficiency determination (I) Biofuels Management: prevention and protection against explosions Efficiency thermochemistry processes · Mass and energy balances · Efficiency calculation Target learning outcomes

Damm, Werner

Note: This page contains sample records for the topic "modules nems runs" 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.


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