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


1

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

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9

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

10

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

11

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

12

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The National Energy Modeling System: An Overview 2003 Industrial Demand Module Figure 7. Industrial Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Economic Subsectors Within the IDM Table. Need help, contact the National Energy Information Center at 202-586-8800. Industrial Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Fuel Consuming Activities for the Energy-Intensive Manufacturing Subsectors Table. Need help, contact the National Energy Information Center at 202-586-8800. The industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing

13

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

14

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

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

15

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

SciTech Connect

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

NONE

1998-01-01T23:59:59.000Z

16

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

Gasoline and Diesel Fuel Update (EIA)

representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to electric...

17

China National Machinery Industry Complete Engineering Corporation...  

Open Energy Info (EERE)

construction project, trading, military equipment manufacturing, real estate and waste-to-energy project development. References China National Machinery Industry Complete...

18

Industrial Relations | Argonne National Laboratory  

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

and introduce technologies to the private sector. How Industry Can Work with Argonne Argonne has many types of contractual agreements to meet the needs and interests of...

19

Maryland-National Capital Building Industry Association Regulatory...  

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

Maryland-National Capital Building Industry Association Regulatory Burden RFI (Federal Register August 8, 2012) Maryland-National Capital Building Industry Association Regulatory...

20

United Nations Industrial Development Organization (UNIDO) |...  

Open Energy Info (EERE)

1.2 UNIDO Programs 2 References Resources UNIDO Tools A Global Technology Roadmap on Carbon Capture and Storage in Industry COMFAR III: Computer Model for Feasibility Analysis...

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


21

Vietnam National Coal Mineral Industries Group Vinacomin | Open...  

Open Energy Info (EERE)

Coal Mineral Industries Group Vinacomin Jump to: navigation, search Name Vietnam National Coal-Mineral Industries Group (Vinacomin) Place Vietnam Product Vietnam-based project...

22

Brookhaven National Laboratory Industrial Hygiene Group Environment, Safety, Health Directorate  

E-Print Network (OSTI)

Safety & Health Services Division Industrial Hygiene Laboratory R. Wilson (0.8) __________________ 06Brookhaven National Laboratory Industrial Hygiene Group Environment, Safety, Health Directorate

Homes, Christopher C.

23

Brookhaven National Laboratory Industrial Hygiene Group Environment, Safety, Health Directorate  

E-Print Network (OSTI)

Safety & Health Services Division Industrial Hygiene Laboratory/ HEPA Filter Surveillance TestingBrookhaven National Laboratory Industrial Hygiene Group Environment, Safety, Health Directorate

Homes, Christopher C.

24

Industrial Partnerships - Oak Ridge National Laboratory | ORNL  

Industrial Partnerships Overview. ORNL takes great pride in its work with U.S. industry, both large and small. Each year, the Industrial Partnerships team hosts more ...

25

Industrial Partnerships - Oak Ridge National Laboratory | ORNL  

Manager; Tom Rogers: Director, Industrial and Economic Development Partnerships: rogerstc@ornl.gov (865) 241-2149: bio: Staff Members; Tammy Barnhart: Industrial and ...

26

Delivering a National Process Design Unit with Industry Support  

Science Conference Proceedings (OSTI)

Presentation Title, Delivering a National Process Design Unit with Industry Support ... Electricity-independent Generation of Si Based on the Use of Rice Husk: A...

27

Pages that link to "China National Machinery Industry Complete...  

Open Energy Info (EERE)

en.openei.orgwikiSpecial:WhatLinksHereChinaNationalMachineryIndustryCompleteEngineeringCorporationCMCEC" Special pages About us Disclaimers Energy blogs Developer...

28

Comparison of National Programs for Industrial Energy Efficiency: Industry Brief  

Science Conference Proceedings (OSTI)

This report looks at the Better Buildings, Better Plants program from the Department of Energy; E3, an initiative of five U.S. federal agencies; ENERGY STAR for Industry from the Environmental Protection Agency; and Superior Energy Performance, a product of the U.S. Council for Energy-Efficient Manufacturing. By comparing the goals of several energy-efficiency programs that have been established to support industry, this report hopes to help industrial facilities find the right fit for their own ...

2013-02-25T23:59:59.000Z

29

Argonne TDC: Blake Industries - Argonne National Laboratory  

New configuration leads to popular new instrument. Blake Industries Scotch Plain, NJ. Argonne materials scientists needed a new type of two-circle diffractometer ...

30

Maryland-National Capital Building Industry Association Regulatory Burden  

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

Maryland-National Capital Building Industry Association Regulatory Maryland-National Capital Building Industry Association Regulatory Burden RFI (Federal Register August 8, 2012) Maryland-National Capital Building Industry Association Regulatory Burden RFI (Federal Register August 8, 2012) On behalf of the Maryland-National Capital Building Industry Association, I am providing the following comments and information in response to DOE's request. The Association represents residential builders, developers and associated professionals and service firms. Final Letter to DOE Regulatory Burden 9_7_2012.pdf More Documents & Publications National Association of Home Builders (NAHB) Ex Parte Memorandum Energy Storage Activities in the United States Electricity Grid. May 2011 Frederick County (Maryland) Department of Permits and Inspections (FCDPI

31

Industrial Business Development - Los Alamos National Lab ...  

Los Alamos National Laboratory, an af?rmative action/ equal opportunity employer, is operated by the University of California for the U.S. Department of Energy under

32

National Security Portfolio - Industrial Partnerships Office  

Giving animals in need a HOME. November 14, 2013. LLNL, Intel, Cray produce big data machine. ... for the Department of Energy's National Nuclear Security Administration

33

National Association of the Remodeling Industry (NARI) | Open Energy  

Open Energy Info (EERE)

Association of the Remodeling Industry (NARI) Association of the Remodeling Industry (NARI) Jump to: navigation, search Name National Association of the Remodeling Industry (NARI) Place Des Plaines, IL Website http://www.nari.org/ References NARI[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! National Association of the Remodeling Industry (NARI) is a company located in Des Plaines, IL. References ↑ "NARI" Retrieved from "http://en.openei.org/w/index.php?title=National_Association_of_the_Remodeling_Industry_(NARI)&oldid=586523" Categories: Clean Energy Organizations

34

Energy Department Applauds Nation's First Large-Scale Industrial Carbon  

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

Nation's First Large-Scale Industrial Nation's First Large-Scale Industrial Carbon Capture and Storage Facility Energy Department Applauds Nation's First Large-Scale Industrial Carbon Capture and Storage Facility August 24, 2011 - 6:23pm Addthis Washington, D.C. - The U.S. Department of Energy issued the following statement in support of today's groundbreaking for construction of the nation's first large-scale industrial carbon capture and storage (ICCS) facility in Decatur, Illinois. Supported by the 2009 economic stimulus legislation - the American Recovery and Reinvestment Act - the ambitious project will capture and store one million tons of carbon dioxide (CO2) per year produced as the result of processing corn into fuel-grade ethanol from the nearby Archer Daniels Midland biofuels plant. Since all of

35

Energy Department Applauds Nation's First Large-Scale Industrial Carbon  

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

Energy Department Applauds Nation's First Large-Scale Industrial Energy Department Applauds Nation's First Large-Scale Industrial Carbon Capture and Storage Facility Energy Department Applauds Nation's First Large-Scale Industrial Carbon Capture and Storage Facility August 24, 2011 - 6:23pm Addthis Washington, D.C. - The U.S. Department of Energy issued the following statement in support of today's groundbreaking for construction of the nation's first large-scale industrial carbon capture and storage (ICCS) facility in Decatur, Illinois. Supported by the 2009 economic stimulus legislation - the American Recovery and Reinvestment Act - the ambitious project will capture and store one million tons of carbon dioxide (CO2) per year produced as the result of processing corn into fuel-grade ethanol from the nearby Archer Daniels Midland biofuels plant. Since all of

36

United Nations Industrial Development Organization (UNIDO) | Open Energy  

Open Energy Info (EERE)

United Nations Industrial Development Organization (UNIDO) United Nations Industrial Development Organization (UNIDO) Jump to: navigation, search Logo: United Nations Industrial Development Organization Name United Nations Industrial Development Organization Address Wagramer Straße 5, 1220 Place Vienna, Austria Phone number +43 (1) 26026-0 Coordinates 48.2336891°, 16.4174512° 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":48.2336891,"lon":16.4174512,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

37

Oak Ridge Industrial Model: an introduction  

SciTech Connect

The Oak Ridge Industrial Model (ORIM) was initially developed for the Energy Information Administration to forecast demand for five types of fuel and electricity by the manufacturing sector in the ten federal regions. Recently, the model has been used by the office of Coal Utilization to forecast market penetration of new technologies which use coal. ORIM divides the national market into about 100,000 submarkets based on region, industry, vintage of capital stock, and characteristic type of energy service. For each of the submarkets, ORIM estimates the probability that a fuel will capture the submarket. Regional forecasts are obtained by summing over the submarkets. The ORIM energy demand forecasts are influenced by energy prices, the fuel use act, tax regulations, and environmental regulations.

Reister, D.B.; Barnes, R.W.; Edmonds, J.A.

1980-01-01T23:59:59.000Z

38

Semantics of model views for information exchanges using the industry foundation class schema  

Science Conference Proceedings (OSTI)

The industry foundation classes (IFC) data schema is generic, designed to support the full range of model exchanges needed in the construction industry. For any particular working exchange for some sub-domain of building construction, a set of model ... Keywords: Industry foundation classes (IFC), Interoperability, Model view definitions (MVD), National BIM Standard (NBIMS), Process modeling, Product modeling

M. Venugopal; C. M. Eastman; R. Sacks; J. Teizer

2012-04-01T23:59:59.000Z

39

General Assembly of the National Industrial Association (ANDI) | Department  

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

General Assembly of the National Industrial Association (ANDI) General Assembly of the National Industrial Association (ANDI) General Assembly of the National Industrial Association (ANDI) August 8, 2008 - 2:40pm Addthis Remarks As Prepared for Delivery for Acting Deputy Secretary Kupfer Thank you, Mr. Villegas. I appreciate the opportunity to be here with all of you today and join the distinguished list of speakers on your agenda. I have only been in your country for a short time, but it is long enough to recognize that there are ample opportunities for enhanced cooperation between the United States and Colombia in all areas - but especially on energy. The U.S. has long stood as a proud ally of your country-from the early days of Colombia's independence, which President Bush and other U.S. and Colombian officials commemorated at the White House in Washington just a

40

United Nations Industrial Development Organization (UNIDO) | Open Energy  

Open Energy Info (EERE)

Industrial Development Organization (UNIDO) Industrial Development Organization (UNIDO) (Redirected from UNIDO) Jump to: navigation, search Logo: United Nations Industrial Development Organization Name United Nations Industrial Development Organization Address Wagramer Straße 5, 1220 Place Vienna, Austria Phone number +43 (1) 26026-0 Coordinates 48.2336891°, 16.4174512° 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":48.2336891,"lon":16.4174512,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

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


41

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.

42

Cost Analysis of Proposed National Regulation of Coal Combustion Residuals from the Electric Generating Industry  

Science Conference Proceedings (OSTI)

This analysis quantifies the potential cost to the coal-fired electric generation industry from EPA's proposed rule on the disposal of coal combustion residuals. It includes an assessment of the incremental compliance costs of the Subtitle C proposed regulatory option. Costs for this analysis were developed at the individual generating unit and plant level and aggregated to develop a national industry cost estimate. The analytical model used to estimate the costs utilizes a Monte Carlo framework to accou...

2010-11-17T23:59:59.000Z

43

Commercial national accounts program is a gas industry revenue builder  

SciTech Connect

The need for gas distributors to implement revenue-generating strategies is clearly evident in the commercial sector - their fastest growing market. One strategy is A.G.A.'s commercial national accounts marketing program, designed to establish working relationships with national and regional food, hotel, and retail chains and with the firms that design energy systems for them. The program supplies these chains with information on gas industry services and research aimed at increasing energy utilization efficiency. Regular communications and coordinated sales calls by gas utility executives on chain headquarters often produce increased gas sales, even of traditionally all-electric chains, as illustrated by several case histories.

Moskitis, T.L.

1984-04-01T23:59:59.000Z

44

Modeling Atlantic salmon fish farming industry: freshwater sub model simulation  

Science Conference Proceedings (OSTI)

Atlantic salmon fish farming has become a large industry worldwide. The industry's processes are examined, and the farming stages analyzed. Fish Farming Industry Simulation Model (FFISiM), a hierarchical, colored Petri net simulation model, was developed ... Keywords: Petri nets, cost and timing, fish farming, growth, performance analysis

Rune Melberg; Reggie Davidrajuh

2009-03-01T23:59:59.000Z

45

Industry  

E-Print Network (OSTI)

in the iron and steel industry: a global model. Energy, 30,report of the world steel industry 2005. International Irontrends in the iron and steel industry. Energy Policy, 30,

Bernstein, Lenny

2008-01-01T23:59:59.000Z

46

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and  

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

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Simulation Tools Available from Energy Analysis and Environmental Impacts Department Tools header image January 2014 Tools and models to find the best way to save energy and reduce greenhouse gas emissions in cities and industries, to follow the transport of pollutants through the environment, and to calculate the cost of power interruptions are among those available on a new Lawrence Berkeley National Laboratory (Berkeley Lab) web site. The site brings together models and simulation tools developed by the Energy Analysis and Environmental Impacts (EAEI) Department of the Lab's Environmental Energy Technologies Division. "Our hope is that the site will facilitate greater technical awareness of

47

US Energy Service Company Industry: History and Business Models...  

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

and Business Models US Energy Service Company Industry: History and Business Models Information about the history of US Energy Service Company including industry history,...

48

World Energy Projection System Plus Model Documentation: Industrial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Peter Gross

2011-10-12T23:59:59.000Z

49

National Skills Assessment of the U.S. Wind Industry in 2012  

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

A National Skills Assessment of the U.S. Wind Industry in 2012 M. Leventhal and S. Tegen Technical Report NRELTP-7A30-57512 June 2013 NREL is a national laboratory of the U.S....

50

Energy Flow Models for the Steel Industry  

E-Print Network (OSTI)

Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through each step is calibrated against Commerce Dept. data. Third, a detailed energy flow model is presented for coke ovens and blast furnaces, two very energy-intensive steps in our seven step model of steelmaking. This process-step model is calibrated against both our energy end use and material flow models. These models can serve as the base case for simulating changes in energy utilization and waste streams for steelmaking spurred by economic or regulatory conditions or technology innovations.

Hyman, B.; Andersen, J. P.

1998-04-01T23:59:59.000Z

51

THE22nd NREL INDUSTRY GROWTH FORUM - National Renewable Energy ...  

ii General Information Welcome to the 22nd NREL Industry Growth Forum We are pleased that you are attending NRELs 22nd Industry Growth Forum and want your ...

52

Radioisotopes distributed for industrial applications for Oak Ridge National Laboratory  

SciTech Connect

A brief discussion is presented of the radioisotopes distributed by ORNL, available quantities, and their main areas of industrial applications. (DLC)

Lamb, E.

1981-01-01T23:59:59.000Z

53

Industrial Combustion Emissions (ICE) model, Version 6. 0. Model-Simulation  

SciTech Connect

The Industrial Combustion Emissions (ICE) Model was developed by the Environmental Protection Agency for use by the National Acid Precipitation Assessment Program (NAPAP) in preparing future assessments of industrial-boiler emissions. The ICE Model user's manual includes a summary of user options and software characteristics, a description of the input data files, and a description of the procedures for operation of the ICE Model. Proper formatting of files and creation of job-control language are discussed. The ICE Model projects for each State the sulfur dioxide, sulfates, and nitrogen oxides emissions from fossil fuel combustion in industrial boilers. Projections of emissions and costs of boiler generation, including emission-control costs, are projected for the years 1985, 1990, 1995, 2000, 2010, 2020, and 2030.

Elliott, D.J.; Hogan, T.

1987-12-01T23:59:59.000Z

54

Industrial Demand Module (IDM) - 2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

The Industrial Demand Module incorporates three components: buildings; process and assembly; and boiler, steam, and cogeneration. Last Model Update:

55

Policy modeling for industrial energy use  

SciTech Connect

The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of innovative (no n-monetary) policy instruments through evaluation and to develop approaches to model both conventional and innovative policies. The explicit modeling of barriers and decision making in the models seems a promising way to enable modeling of conventional and innovative policies. A modular modeling approach is essential to not only provide transparency, but also to use the available resources most effectively and efficiently. Many large models have been developed in the past, but have been abandoned after only brief periods of use. A development path based on modular building blocks needs the establishment of a flexible but uniform modeling framework. The leadership of international agencies and organizations is essential in the establishment of such a framework. A preference is given for ''softlinks'' between different modules and models, to increase transparency and reduce complexity. There is a strong need to improve the efficiency of data collection and interpretation efforts to produce reliable model inputs. The workshop participants support the need for the establishment of an (in-)formal exchanges of information, as well as modeling approaches. The development of an informal network of research institutes and universities to help build a common dataset and exchange ideas on specific areas is proposed. Starting with an exchange of students would be a relative low-cost way to start such collaboration. It would be essential to focus on specific topics. It is also essential to maintain means of regular exchange of ideas between researchers in the different focus points.

Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

2003-03-01T23:59:59.000Z

56

Industrial ecology at Lawrence Livermore National Laboratory summary statement  

Science Conference Proceedings (OSTI)

This statement summarizes Lawrence Livermore National Laboratory`s committment to making important scientific, technological, and business contributions to global sustainability. The quest has many aspects, some socio-political or economic and some technological, and some in which the soft and hard sciences become indistinguishable, as in visionary national strategies, like Holland`s, and futuristic regional and city development plans, like those of Kagoshima and Chattanooga.

Gilmartin, T.J.

1996-05-21T23:59:59.000Z

57

Comparison of National Programs for Industrial Energy Efficiency  

Science Conference Proceedings (OSTI)

This report looks at the Better Buildings, Better Plants program from the Department of Energy; E3, an initiative of five U.S. federal agencies; ENERGY STAR for Industry from the Environmental Protection Agency; and Superior Energy Performance, a product of the U.S. Council for Energy-Efficient Manufacturing. (See table on next page for a summary comparison of these programs.) By comparing the goals of several energy-efficiency programs that have been established to support industry, this report hopes to...

2012-04-10T23:59:59.000Z

58

HVAC component data modeling using industry foundation classes  

E-Print Network (OSTI)

HVAC Component Data Modeling Using Industry Foundationof a major extension of the HVAC part of the IFC data model.generic approach for handling HVAC components. This includes

Bazjanac, Vladimir; Forester, James; Haves, Philip; Sucic, Darko; Xu, Peng

2002-01-01T23:59:59.000Z

59

Recent National Solar Thermal Test Facility activities, in partnership with industry  

DOE Green Energy (OSTI)

The National Solar Thermal Test Facility (NSTTF) at Sandia National Laboratories in Albuquerque, New Mexico, USA conducts testing of solar thermal components and systems, funded primarily by the US Department of Energy. Activities are conducted in support of Central Receiver Technology, Distributed Receiver Technology and Design Assistance projects. All activities are performed in support of various cost-shared government/industry joint ventures and, on a design assistance basis, in support of a number of other industry partners.

Ghanbari, C.; Cameron, C.P.; Ralph, M.E.; Pacheco, J.E.; Rawlinson, K.S. [Sandia National Labs., Albuquerque, NM (United States); Evans, L.R. [Ewing Technical Design, Albuquerque, NM (United States)

1994-10-01T23:59:59.000Z

60

National SCADA Test Bed Consequence Modeling Tool | Department...  

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

National SCADA Test Bed Consequence Modeling Tool National SCADA Test Bed Consequence Modeling Tool This document presents a consequence modeling tool that provides, for asset...

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


61

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

Annual Energy Outlook 2012 (EIA)

Appendix: Bibliography The National Energy Modeling System: An Overview 2003 Appendix: Bibliography The National Energy Modeling System is documented in a series of model...

62

Industrial ecology at Lawrence Livermore National Laboratory summary statement  

SciTech Connect

At Livermore our hope and our intention is to make important contributions to global sustainability by basing both our scientific and technological research and our business practices on the principles of industrial ecology. Current efforts in the following fields are documented: global security, global ecology, energy for transportation, fusion energy, materials sciences, environmental technology, and bioscience.

Gilmartin, T.J.

1996-06-04T23:59:59.000Z

63

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM Part ...  

U.S. Energy Information Administration (EIA)

NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . ... the PMM LP and the re-optimization of the LP matrix are accomplished by executing FORTRAN callable

64

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

U.S. Energy Information Administration (EIA)

Appendix 3.E. Optimization and Modeling Library (OML) ... Energy Outlook 2002 Projections of Coal Production, Distribution, and Prices for the National

65

Industry  

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

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

66

The French National Energy Conservation Program - The Case of Industry  

E-Print Network (OSTI)

France is certainly one of the industrialized countries which has been the most severely affected by the energy crisis. It has thus been necessary since 1974 to plan and execute a bold, far-reaching government policy for energy reconversion. There are a number of reasons for this situation, which is chiefly due to the structure of our sources of energy supplies and to the status of our system of energy consumption on the eve of the crisis in 1973.

Zyss, J.

1980-01-01T23:59:59.000Z

67

Deployment of an AEC industry sector product model  

Science Conference Proceedings (OSTI)

CIMsteel Integration Standard, Version 2 (CIS/2) is an industry-developed product model based on ISO-STEP technology that has been widely adopted within the steel construction industry. CIS/2 is an early success story of broad use of a product model ... Keywords: Building model, Product model, STEP

C. Eastman; F. Wang; S. -J. You; D. Yang

2005-10-01T23:59:59.000Z

68

United Nations Industrial Development Organization Feed | Open Energy  

Open Energy Info (EERE)

Feed Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP) Information for Development Program (infoDev)

69

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-M059(2012) Part 2. PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . October 2012 . Office of Energy Analysis

70

2010 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Materials and Fuels Complex Industrial Waste Ditch and Industrial Waste Pond  

SciTech Connect

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (#LA 000160 01), for the wastewater reuse site at the Idaho National Laboratory Sites Materials and Fuels Complex Industrial Waste Ditch and Industrial Waste Pond from May 1, 2010 through October 31, 2010. The report contains the following information: Facility and system description Permit required effluent monitoring data and loading rates Groundwater monitoring data Status of special compliance conditions Discussion of the facilitys environmental impacts During the 2010 partial reporting year, an estimated 3.646 million gallons of wastewater were discharged to the Industrial Waste Ditch and Pond which is well below the permit limit of 13 million gallons per year. The concentrations of all permit-required analytes in the samples from the down gradient monitoring wells were below the Ground Water Quality Rule Primary and Secondary Constituent Standards.

David B. Frederick

2011-02-01T23:59:59.000Z

71

2011 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Materials and Fuels Complex Industrial Waste Ditch and Industrial Waste Pond  

SciTech Connect

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (LA-000160-01), for the wastewater reuse site at the Idaho National Laboratory Site's Materials and Fuels Complex Industrial Waste Ditch and Industrial Waste Pond from November 1, 2010 through October 31, 2011. The report contains the following information: (1) Facility and system description; (2) Permit required effluent monitoring data and loading rates; (3) Groundwater monitoring data; (4) Status of special compliance conditions; and (5) Discussion of the facility's environmental impacts. During the 2011 reporting year, an estimated 6.99 million gallons of wastewater were discharged to the Industrial Waste Ditch and Pond which is well below the permit limit of 13 million gallons per year. Using the dissolved iron data, the concentrations of all permit-required analytes in the samples from the down gradient monitoring wells were below the Ground Water Quality Rule Primary and Secondary Constituent Standards.

David Frederick

2012-02-01T23:59:59.000Z

72

Deployment of Forming and Welding Models to Industries through ...  

Science Conference Proceedings (OSTI)

Presentation Title, Deployment of Forming and Welding Models to Industries through High Performance Computing. Author(s), Yuping Yang, Hyunok Kim,...

73

Characterizing emerging industrial technologies in energy models  

E-Print Network (OSTI)

Efficient and Clean Energy Technologies, 2000. Scenarios ofEmerging Energy-Efficient Industrial Technologies, Lawrenceinformation about energy efficiency technologies, their

Laitner, John A. Skip; Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

2003-01-01T23:59:59.000Z

74

National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

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

75

Industry Day and One-on-One Meetings | National Nuclear Security  

National Nuclear Security Administration (NNSA)

Industry Day and One-on-One Meetings | National Nuclear Security Industry Day and One-on-One Meetings | 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 The National Nuclear Security Administration Industry Day and One-on-One Meetings Home > About Us > Our Operations > Acquisition and Project Management > Major Contract Solicitations > Environmental Program Services Contract >

76

Industry and government perspectives on First Nations' participation in the British Columbia environmental assessment process  

Science Conference Proceedings (OSTI)

Research was conducted with West Moberly First Nations, Halfway First Nation and the Treaty 8 Tribal Association (located in northeastern British Columbia, Canada) on effective engagement in environmental assessment processes. As part of this research, we examined the perspectives of a subset of resource industry proponents and their consultants, as well as staff from the British Columbia Environmental Assessment Office on their experiences with the requirement to consult with Canada's indigenous peoples. Research into the perspectives of industry proponents and consultants is almost non-existent, yet industry and governments are key participants within environmental assessments. This research found that industry proponents were disenfranchised by the British Columbia environmental assessment process and its mechanisms for consulting with First Nations, and that they sought changes to that process. Their concerns and their implications are documented and some recommendations are offered for addressing those concerns. Understanding industry and government views on First Nations engagement could suggest not only potential improvements in EA processes that facilitate all parties but provide common grounds for mutually engaging to resolve challenges.

Booth, Annie L., E-mail: annie@unbc.ca; Skelton, Norm W.

2011-04-15T23:59:59.000Z

77

Industry  

E-Print Network (OSTI)

from refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processes

Bernstein, Lenny

2008-01-01T23:59:59.000Z

78

Residential Demand Module of the National Energy Modeling ...  

U.S. Energy Information Administration (EIA)

Residential Demand Module of the National Energy Modeling System: Model Documentation 2013 November 2013 Independent Statistics & Analysis ...

79

EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

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

80

Policy modeling for industrial energy use  

E-Print Network (OSTI)

simple energy intensity is not a good indicator for energyEnergy Intensity in the Iron & Steel industry: A Comparison of Physical and Economic Indicators",energy efficiency in the Korean manufacturing sector, studies using economic energy efficiency indicators (energy intensity

2003-01-01T23:59:59.000Z

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


81

Solids transportation model of an industrial rotary dryer  

SciTech Connect

A complete simulation model has been developed for an industrial rotary dryer to account for the heat and mass exchange between the solids and the gas. This simulator is mainly composed of three models: solids transportation model, furnace model, and gas model. The solids transportation model is the modified Cholette-Cloutier model. It consists of a series of interactive reservoirs which are subdivided into an active and dead compartments to account for the characteristic extended tail of the residence time distribution (RTD) curves observed in industrial dryers. To expand the validity of the model, experiments have been performed in an industrial rotary dryer to obtain RTD curves under different mineral concentrate and gas flow rates. This paper describes these experiments and presents the variation of the average residence time and model parameters as function of solids and gas flow rates.

Renaud, M.; Thibault, J.; Trusiak, A.

2000-05-01T23:59:59.000Z

82

Improvements to the EPA Industrial Source Complex Dispersion Model  

Science Conference Proceedings (OSTI)

Air quality models are a key component in determining air pollution control requirements. The Industrial Source Complex (ISC2) model is a steady-state Gaussian plume model that is used for modeling point, area, volume, and line sources. Since its ...

Dennis G. Atkinson; Desmond T. Bailey; John S. Irwin; Jawad S. Touma

1997-08-01T23:59:59.000Z

83

US Energy Service Company Industry: History and Business Models  

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

Energy Service Company Industry: Energy Service Company Industry: History and Business Models Don Gilligan President, NAESCO May 6, 2011 Overview of Presentation * US ESCO industry evolution: Five phases * Business models in each phase * Financing models in each phase * Factors that forced change to next phase * Lessons learned US ESCO Industry: Five Phases * Pre-1985: The Beginning of Large-scale Energy Efficiency (EE) * 1985-1995: Early ESCo experience * 1995-2000: Consolidation and Growth * 2000-2004: Setbacks * 2004 - present: Growth and new services Beginning of EE: pre-1985 * Federal government mandates utilities to provide energy conservation * Business model: ESCOs provide services - Energy audits, arranging contracting, etc. * Finance model: fee for service - Utilities pay ESCOs for services

84

Industry  

E-Print Network (OSTI)

oxide emission reductions in industry in the EU. Europeanissues: Annual survey of industries. Central StatisticalDesiccated coconut industry of Sri- Lankas opportunities

Bernstein, Lenny

2008-01-01T23:59:59.000Z

85

Documentation of the Industrial Minor Fuels and Raw Materials model (MFUEL)  

Science Conference Proceedings (OSTI)

Most of the industrial demand for energy is projected by components of the Intermediate Future Forecasting System (IFFS), mainly the PURchased Heat and Power System (PURHAPS) and the oil refineries model (REFPRIDE). Other components of IFFS project a few fuel uses that are sometimes considered industrial. MFUEL projects those portions of industrial demand not covered by other components of IFFS: industrial use of motor gasoline, industrial consumption of lubricants and waxes, petrochemical feedstocks, metallurgical coal, special naphthas, natural gas used as a chemical feedstock, asphalt and road oil, petroleum coke, industrial kerosene, industrial hydropower, net imports of coal coke, other petroleum, and LPG used as a feedstock or by gas utilities. Each fuel is projected by a single equation at the national level, based on historical relationships, and then shared out to Federal Regions. MFUEL accounts for 5.01 quadrillion Btu out of the industrial energy total of 19.66 quadrillion in 1983, including 3.52 quadrillion Btu out of the 7.83 quadrillion of industrial petroleum use.

Werbos, P.J.

1984-07-01T23:59:59.000Z

86

DOE Releases Maturity Model to Better Protect the Nation's Grid from  

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

Releases Maturity Model to Better Protect the Nation's Grid Releases Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats DOE Releases Maturity Model to Better Protect the Nation's Grid from Cybersecurity Threats May 31, 2012 - 4:32pm Addthis The Electricity Subsector Cybersecurity Capability Maturity Model, which allows electric utilities and grid operators to assess their cybersecurity capabilities and prioritize their actions and investments to improve cybersecurity, combines elements from existing cybersecurity efforts into a common tool that can be used consistently across the industry. The Maturity Model was developed as part of a White House initiative led by the Department of Energy in partnership with the Department of Homeland Security (DHS) and involved close collaboration with industry, other

87

National Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry (Fact Sheet)  

DOE Green Energy (OSTI)

This technical highlight describes NREL research to develop a publicly available database of energy retrofit measures containing performance characteristics and cost estimates for nearly 3,000 measures. Researchers at the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) have developed the National Residential Efficiency Measures Database, a public database that characterizes the performance and costs of common residential energy efficiency measures. The data are available for use in software programs that evaluate cost-effective retrofit measures to improve the energy efficiency of residential buildings. The database provides a single, consistent source of current data for DOE and private-sector energy audit and simulation software tools and the retrofit industry. The database will reduce risk for residential retrofit industry stakeholders by providing a central, publicly vetted source of up-to-date information.

Not Available

2012-01-01T23:59:59.000Z

88

The National Energy Modeling System: An overview  

Science Conference Proceedings (OSTI)

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

Not Available

1994-05-01T23:59:59.000Z

89

A Survey of LTR Program Industry Partner Satisfaction at Oak Ridge National Lab  

SciTech Connect

As a US Department of Energy (DOE) Office of Science (SC) National Laboratory, the Oak Ridge National Lab (ORNL) participates in the Laboratory Technology Research (LTR) Program. The mission of the LTR Program is to advance science and technology, in support of DOE missions, toward innovative applications through cost-shared partnerships with the private sector. The benefits to industry participants include gaining access to world-class researchers and facilities, while the benefits to the ORNL researchers includes leveraging the declining government-provided funds. Thus, the importance placed upon industry partner satisfaction is large, especially if the LTR Program is to be sustained during episodes of government budget constraints. Realizing the critical nature of partner satisfaction, in 1998 the DOE-SC National Laboratories surveyed industrial partners to assess their satisfaction with the cooperative research projects in which they were involved. This paper will describe the survey methodology including development of the questionnaire and a summary of the responses (particularly those which are germane to the ORNL.) The results of the survey will be categorized as follows: (1) Desire to partner again with ORNL; (2) Benefits obtained by the company from the partnership; and (3) LTR Program ratings assigned in 11 key areas (i.e., quality of work, expertise, protection of intellectual property, value, facilities, understanding company needs, reliability of funding, schedule responsiveness, project management, contract negotiation, and contract administration.) More information about the LTR Program can be found at http://www.er.doe.gov/production/octr/aentr/aeptrnr.html.

Payne, T.L.; Kniel, C.

2000-02-01T23:59:59.000Z

90

Insolvency modeling in the cellular telecommunication industry  

Science Conference Proceedings (OSTI)

In this article, we test several models (decision tress and neural networks) to predict customer insolvency at one of the cellular telecommunication operator in Poland. In comparison to previous studies on customer insolvency, our research presents novelty ... Keywords: Cellular, Customer classification, Insolvency modeling, Predictive data mining, Revenue assurance

Tomasz S. Zbkowski; Wies?aw Szczesny

2012-06-01T23:59:59.000Z

91

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

Open Energy Info (EERE)

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

92

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

93

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

94

Analysis of the industrial sector representation in the Fossil2 energy-economic model  

SciTech Connect

The Fossil2 energy-economic model is used by the US Department of Energy (DOE) for a variety of energy and environmental policy analyses. A number of improvements to the model are under way or are being considered. This report was prepared by the Pacific Northwest Laboratory (PNL) to provide a clearer understanding of the current industrial sector module of Fossil2 and to explore strategies for improving it. The report includes a detailed description of the structure and decision logic of the industrial sector module, along with results from several simulation exercises to demonstrate the behavior of the module in different policy scenarios and under different values of key model parameters. The cases were run with the Fossil2 model at PNL using the National Energy Strategy Actions Case of 1991 as the point of departure. The report also includes a discussion of suggested industrial sector module improvements. These improvements include changes in the way the current model is used; on- and off-line adjustments to some of the model`s parameters; and significant changes to include more detail on the industrial processes, technologies, and regions of the country being modeled. The potential benefits and costs of these changes are also discussed.

Wise, M.A.; Woodruff, M.G.; Ashton, W.B.

1992-08-01T23:59:59.000Z

95

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

Gasoline and Diesel Fuel Update (EIA)

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

96

International Energy Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

International Energy Module of the National Energy Modeling System Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

97

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

98

Coal Market Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy

99

Commercial Demand Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Commercial Demand Module of the National Energy Modeling System: Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

100

U.S. Department of Energy Commercial Reference Building Models of the National Building Stock  

SciTech Connect

The U.S. Department of Energy (DOE) Building Technologies Program has set the aggressive goal of producing marketable net-zero energy buildings by 2025. This goal will require collaboration between the DOE laboratories and the building industry. We developed standard or reference energy models for the most common commercial buildings to serve as starting points for energy efficiency research. These models represent fairly realistic buildings and typical construction practices. Fifteen commercial building types and one multifamily residential building were determined by consensus between DOE, the National Renewable Energy Laboratory, Pacific Northwest National Laboratory, and Lawrence Berkeley National Laboratory, and represent approximately two-thirds of the commercial building stock.

Deru, M.; Field, K.; Studer, D.; Benne, K.; Griffith, B.; Torcellini, P.; Liu, B.; Halverson, M.; Winiarski, D.; Rosenberg, M.; Yazdanian, M.; Huang, J.; Crawley, D.

2011-02-01T23:59:59.000Z

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


101

Industry  

E-Print Network (OSTI)

the paper, glass or ceramics industry) making it difficulttechnology in the ceramic manufacturing industry. industries: iron and steel, non-ferrous metals, chemicals (including fertilisers), petroleum refining, minerals (cement, lime, glass and ceramics) and

Bernstein, Lenny

2008-01-01T23:59:59.000Z

102

Emerging business models and trends in the mobile wireless industry  

Science Conference Proceedings (OSTI)

This paper provides a theory to account for how emerging business models and trends are driving scale and scope economies in the mobile wireless industry. Despite raising expectations, the mobile wireless industry is currently volatile. As difficult ... Keywords: alliance, bundling, convergence, mobile networks, mobile virtual network operators, mobile wireless, network sharing, service differentiation, software outsourcing, software systems, technological evolution, value chain, wireless gateways, wireless networks

Hemant K. Sabat

2007-06-01T23:59:59.000Z

103

Policy modeling for industrial energy use  

E-Print Network (OSTI)

incentives on district heating, ESCO, VA, etc Energy technology R&D energy saving, alternative energy and clean energyincentive schemes as energy saving policies potential non-regret policies higher priority on R&D investment Modeling Policies in the Clean Energy

2003-01-01T23:59:59.000Z

104

Analysis of the industrial sector representation in the Fossil2 energy-economic model  

SciTech Connect

The Fossil2 energy-economic model is used by the US Department of Energy (DOE) for a variety of energy and environmental policy analyses. A number of improvements to the model are under way or are being considered. This report was prepared by the Pacific Northwest Laboratory (PNL) to provide a clearer understanding of the current industrial sector module of Fossil2 and to explore strategies for improving it. The report includes a detailed description of the structure and decision logic of the industrial sector module, along with results from several simulation exercises to demonstrate the behavior of the module in different policy scenarios and under different values of key model parameters. The cases were run with the Fossil2 model at PNL using the National Energy Strategy Actions Case of 1991 as the point of departure. The report also includes a discussion of suggested industrial sector module improvements. These improvements include changes in the way the current model is used; on- and off-line adjustments to some of the model's parameters; and significant changes to include more detail on the industrial processes, technologies, and regions of the country being modeled. The potential benefits and costs of these changes are also discussed.

Wise, M.A.; Woodruff, M.G.; Ashton, W.B.

1992-08-01T23:59:59.000Z

105

The National Energy Modeling System The  

Gasoline and Diesel Fuel Update (EIA)

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

106

Modeling the Impact of Summer Temperatures on National Electricity Consumption  

Science Conference Proceedings (OSTI)

National population-weighted weekly degree day totals, which have been used to model and assess temperature-related natural gas consumption, are compared with summertime electricity consumption. A very close relationship between national cooling ...

Douglas M. Le Comte; Henry E. Warren

1981-12-01T23:59:59.000Z

107

Photovoltaic industry proposed changes for the 1999 national electrical code for PV applications  

SciTech Connect

An industry supported task group has recently completed writing proposals for changes in bring Article 690 of the 1999 National Electrical Code (NEC{reg_sign}) up to the state-of-the-art in photovoltaic device and system technology. This paper summarizes proposed code changes, discusses background on both new and changed, and presents examples for the proposed changes. Topics such as the proposed new temperature compensation table for calculating maximum system voltage are analyzed. Procedures for calculating conductor sizes with the proposed changes are presented. Impacts on photovoltaic installations, building integrated systems, and AC module installations are also analyzed.

Bower, W. [Sandia National Labs., Albuquerque, NM (United States); Wiles, J.C. [New Mexico State Univ., Las Cruces, NM (United States). Southwest Technology Development Institute

1997-06-01T23:59:59.000Z

108

National Wind Technology Center: A Proven and Valued Wind Industry Partner (Fact Sheet), National Wind Technology Center (NWTC)  

DOE Green Energy (OSTI)

The fact sheet gives an overview of the National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory.

Not Available

2010-10-01T23:59:59.000Z

109

Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts  

Reports and Publications (EIA)

The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

Information Center

2010-06-01T23:59:59.000Z

110

Online Modeling in the Process Industry for Energy Optimization  

E-Print Network (OSTI)

"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam and electricity. It further discusses the methods of providing this energy for refineries, petrochemical plants, and other processing plants - chemical, paper, and metal. A typical system flow diagram is used to highlight the energy system network and describe areas where steady-state models are used. The types of models used are discussed, and a scheme for putting the models together to provide total process plant energy optimization is summarized. The types of optimization which can be implemented in a process plant is thus presented. The paper points out what steady-state modeling is needed to do online optimization of an energy network in a processing plant. Finally, a discussion of the economics on online energy optimization is presented."

Alexander, J.

1988-09-01T23:59:59.000Z

111

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

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The National Energy Modeling System: An Overview 2003 Petroleum Market Module Figure 17. Petroleum Market Module Structure. Need help, contact the National Energy Information Center. Need help, contact the National Energy Information Center at 202-586-8800. Figure 18. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Products Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800. Crude Oil Categories in PMM Table. Need help, contact the National Energy Information Center at 202-586-8800. Refinery Processing Units Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800.

112

Industry  

E-Print Network (OSTI)

and power in US industry. Energy Policy, 29, pp. 1243-1254.Paris. IEA, 2004: Energy Policies of IEA Countries: Finlandand steel industry. Energy Policy, 30, pp. 827-838. Kim, Y.

Bernstein, Lenny

2008-01-01T23:59:59.000Z

113

Industrial experiences from multi-paradigmatic modelling of signal processing  

Science Conference Proceedings (OSTI)

Embedded software is often composed of interacting domains. A common problem is that the implementation intertwines the different domain solutions with each other and the platform-specific details. The result is a code mass that is hard to understand, ... Keywords: case study, digital signal processing, executable software models, telecommunications industry

Hkan Burden; Rogardt Heldal; Martin Lundqvist

2012-10-01T23:59:59.000Z

114

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.

115

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

Annual Energy Outlook 2012 (EIA)

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

116

Solar PV Manufacturing Cost Analysis: U.S. Competitiveness in a Global Industry (Presentation), NREL (National Renewable Energy Laboratory)  

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

Solar PV Manufacturing Cost Analysis: Solar PV Manufacturing Cost Analysis: U.S. Competitiveness in a Global Industry Stanford University: Precourt Institute for Energy Alan Goodrich † , Ted James † , and Michael Woodhouse October 10, 2011 † Corresponding authors: alan.goodrich@nrel.gov, ted.james@nrel.gov NREL/PR-6A20-53938 2 Analysis Disclaimer DISCLAIMER AGREEMENT These manufacturing cost model results ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy LLC ("Alliance") for the U.S. Department of Energy (the "DOE"). It is recognized that disclosure of these Data is provided under the following conditions and warnings: (1) these Data have been prepared for reference purposes only; (2) these Data consist of forecasts, estimates or assumptions made on a best-

117

A dynamic model of industrial energy demand in Kenya  

Science Conference Proceedings (OSTI)

This paper analyses the effects of input price movements, technology changes, capacity utilization and dynamic mechanisms on energy demand structures in the Kenyan industry. This is done with the help of a variant of the second generation dynamic factor demand (econometric) model. This interrelated disequilibrium dynamic input demand econometric model is based on a long-term cost function representing production function possibilities and takes into account the asymmetry between variable inputs (electricity, other-fuels and Tabour) and quasi-fixed input (capital) by imposing restrictions on the adjustment process. Variations in capacity utilization and slow substitution process invoked by the relative input price movement justifies the nature of input demand disequilibrium. The model is estimated on two ISIS digit Kenyan industry time series data (1961 - 1988) using the Iterative Zellner generalized least square method. 31 refs., 8 tabs.

Haji, S.H.H. [Gothenburg Univ. (Sweden)

1994-12-31T23:59:59.000Z

118

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

119

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

120

A water utility industry conceptual asset management data warehouse model  

E-Print Network (OSTI)

Timely decision making is critical in todays competitive business world and in recent times, data warehousing has been employed by numerous companies to satisfy the needs of accurate and timely information. Data warehousing has traditionally been employed for financial and customer relationship analysis with current applications now moving to other domains, such as the medical and power industries. The asset management industry is one that has seen great strides in recent years due to improved technology, but data warehousing of asset management information has been lacking. A literature review was undertaken to determine data warehousing applications in the area of asset management, and with the lessons learned, a conceptual model of data warehousing for asset management is proposed. The water utility industry is chosen to provide a grounded example of an enterprise data warehouse model that integrates data from various local information systems. The particular issues faced in the asset management domain are highlighted, and several water utility applications are presented. KEY WORDS: data warehousing, asset management, water utility industry, design 1.

Avin Mathew; Sheng Zhang; Lin Ma; Doug Hargreaves

2006-01-01T23:59:59.000Z

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


121

Industry  

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

in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and...

122

National Strategic Unconventional Resource Model | Department of Energy  

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

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

123

National Strategic Unconventional Resource Model | Department of Energy  

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

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

124

Models of National Energy Systems -focusing on biomass energy  

E-Print Network (OSTI)

Models of National Energy Systems - focusing on biomass energy Poul Erik Grohnheit Systems Analysis models · International development of large energy models · Biomass energy · Upstream expansion of the Pan European model for biomass and crops · Basic elements in a crop model for Denmark· Basic elements

125

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

126

Abstract Deployment of an AEC industry sector product model  

E-Print Network (OSTI)

widely adopted within the steel construction industry. CIS/2 is an early success story of broad use of a product model for both data exchange and improving the productivity of those companies taking advantage of its capabilities. Here, we review the history of CIS/2, the methods and issues arising from its deployment, the benefits it has thus far realized and the research issues these activities have identified.

C. Eastman; F. Wang; S. -j. You; D. Yang

2004-01-01T23:59:59.000Z

127

The National Environmental Justice Advisory Committee (NEJAC) Model Plan  

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

The National Environmental Justice Advisory Committee (NEJAC) Model The National Environmental Justice Advisory Committee (NEJAC) Model Plan for Public Participation The National Environmental Justice Advisory Committee (NEJAC) Model Plan for Public Participation This report and recommendations have been written as a part of the activities of the NEJAC, a public advisory committee providing extramural policy information and advice to the Administrator and other officials of the U.S. Environmental Protection Agency (EPA). The Council is structured to provide balanced, expert assessment of matters related to environmental justice. This report has been reviewed by EPA. The National Environmental Justice Advisory Committee (NEJAC) Model Plan for Public Participation More Documents & Publications National Environmental Justice Advisory Council Federal Facilities Working

128

Industry  

E-Print Network (OSTI)

2006: Advancing Clean Energy Use in Mexico. National (US)2005), and Mexico (Aguayo and Gallagher, 2005), energy and2004). In Mexico, the Ministry of Energy has linked its

Bernstein, Lenny

2008-01-01T23:59:59.000Z

129

The National Energy Modeling System: An Overview 2000 - appendix  

Gasoline and Diesel Fuel Update (EIA)

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

130

Industry  

E-Print Network (OSTI)

milling industry: An ENERGY STAR Guide for Energy and Plantcement mak- ing - An ENERGY STAR Guide for Energy and Plantre- fineries - An ENERGY STAR Guide for Energy and Plant

Bernstein, Lenny

2008-01-01T23:59:59.000Z

131

MCT: Model Coupling Toolkit | Argonne National Laboratory  

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

MCT: Model Coupling Toolkit MCT: Model Coupling Toolkit MCT: Model Coupling Toolkit MCT is a set of open-source software tools for creating coupled models. MCT is fully parallel and can be used to couple message-passing parallel models to create a parallel coupled model. MCT is available as a small library and a set of Fortran90 modules. MCT provides model interoperability through a simple API. Two models that declare and use MCT datatypes can be coupled with a minimum of effort. MCT provides the following core coupling services: A component model registry Domain decomposition descriptors Communications schedulers for parallel MxN intercomponent data transfer and MxM intracomponent data redistribution A flexible and indexible (i.e., random-access) field data storage datatype A time averaging and accumulation buffer datatype

132

National and Sectoral GHG Mitigation Potential: A Comparison Across Models  

Open Energy Info (EERE)

National and Sectoral GHG Mitigation Potential: A Comparison Across Models National and Sectoral GHG Mitigation Potential: A Comparison Across Models Jump to: navigation, search Tool Summary Name: National and Sectoral GHG Mitigation Potential: A Comparison Across Models Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: GHG inventory, Policies/deployment programs, Pathways analysis Resource Type: Software/modeling tools, Publications, Lessons learned/best practices Website: www.iea.org/papers/2009/Mitigation_potentials.pdf References: National and Sectoral GHG Mitigation Potential: A Comparison Across Models[1] Summary "This paper focuses on mitigation potential to provide a comparative assessment across key economies. GHG mitigation potential is defined here to be the level of GHG emission reductions that could be realised, relative

133

Spectral Modeling at the National Meteorological Center  

Science Conference Proceedings (OSTI)

A model with spectral representation in the horizontal and Arakawa quadratic conserving finite differencing in the vertical is formulated. The model includes a moisture cycle consisting of large-scale condensation processes, as well as a ...

Joseph G. Sela

1980-09-01T23:59:59.000Z

134

Industry  

Science Conference Proceedings (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

135

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

Gasoline and Diesel Fuel Update (EIA)

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

136

Review and evaluation of national airspace system models  

E-Print Network (OSTI)

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

Odoni, Amedeo R.

1979-01-01T23:59:59.000Z

137

A Collaborative Model for a Sustainable Management System for Energy at Small to Medium Industrial Enterprises  

E-Print Network (OSTI)

Small to medium size industrial facilities often lack adequate resources to implement a sustainable energy management program. A strategy to overcome this constraint is to collaborate and develop partnerships between the company and other external resources. This paper describes a unique business-to-business partnership between Cook Composites and Polymers Co. (CCP) an industrial firm and Burns & McDonnell a large, multi-disciplined engineering firm that provides energy services. Over the last two years the firms have worked together towards a sustainable energy management program for CCP which incorporates the Plan-Do- Check-Act continual improvement cycle. They have collaborated on this work with government, industry and other partners and are now working towards certification under the American National Standards Institute (ANSI) Management System for Energy (MSE). ANSI/MSE 2000:2008 will be incorporated into CCPs existing Integrated Management System which already includes components for Health, Safety, Environment and Quality. CCP considers ANSI/MSE 2000:2008 as the framework for a sustainable energy management system to provide triple bottom line economic, environmental and societal benefits. CCP continues to improve their Energy Intensity Index, eco-efficiency footprint and their global competitiveness. This systematic and collaborative approach can serve as a model for other small to medium size industrial firms.

Imel, M.; Gromacki, M.; Magoon, D.

2009-05-01T23:59:59.000Z

138

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

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The National Energy Modeling System: An Overview 2003 Electricity Market Module Figure 9. Electricity Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Figure 10. Electricity Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Electricity Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Central-Station Generating Technologies. Need help, contact the National Energy Information Center at 202-586-8800. 2002 Overnight Capital Costs (including Contingencies), 2002 Heat Rates, and Online Year by Technology for the AEO2003 Reference Case Table. Need help, contact the National Energy Information Center at 202-586-8800.

139

Petroleum Market Model of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

allowed nationally for Biomass Pyrolysis (BPU). Purpose: Provides an accounting of the total BPU units built through the previous year, calls

140

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

Gasoline and Diesel Fuel Update (EIA)

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

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


141

HOMER: The Micropower Optimization Model. National Renewable...  

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

HOMER, the micro- power optimization model, helps you design off-grid and grid-connected systems. You can use HOMER to perform analyses to explore a wide range of design questions:...

142

Modeling of the solids transportation within an industrial rotary dryer: A simple model  

SciTech Connect

To better understand the underlying phenomena taking place in an industrial rotary dryer and to determine the optimum operating conditions, a simulator in which the solids transportation, the gas flow, and the heat and mass transfer are modeled is currently being developed. This paper describes the use of interactive perfect mixers in series to model the solids transportation within an industrial rotary dryer, on the basis of an experimental residence time distribution curve (RTD). Two simple models are proposed: a series of perfect well-mixed interacting tanks and a modified Cholette-Cloutier model. The first model is not able to account for the nonideal behavior of the solids transportation in the rotary dryer. To account for the characteristic extended tail of the RTD curves observed in industrial dryers, in a second model, the solid phase is divided between an active and a dead zone. This model, with 36 cells and 25% of the volume occupied by the dead zones, modeled very well the industrial RTD curve. In addition, the model produces bed depth and axial velocity profiles that are consistent with those reported in the literature.

Duchesne, C.; Thibault, J.; Bazin, C. [Laval Univ., Sainte-Foy, Quebec (Canada)] [Laval Univ., Sainte-Foy, Quebec (Canada)

1996-07-01T23:59:59.000Z

143

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

SciTech Connect

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

NONE

1998-01-01T23:59:59.000Z

144

A National Strategy for Advancing Climate Modeling  

SciTech Connect

Climate models are the foundation for understanding and projecting climate and climate-related changes and are thus critical tools for supporting climate-related decision making. This study developed a holistic strategy for improving the nation??s capability to accurately simulate climate and related Earth system changes on decadal to centennial timescales. The committee??s report is a high level analysis, providing a strategic framework to guide progress in the nation??s climate modeling enterprise over the next 10-20 years. This study was supported by DOE, NSF, NASA, NOAA, and the intelligence community.

Dunlea, Edward; Elfring, Chris

2012-12-04T23:59:59.000Z

145

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

E-Print Network (OSTI)

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

Roop, J. M.

2009-05-01T23:59:59.000Z

146

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

147

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

148

LANL researchers use computer modeling to study HIV | National Nuclear  

National Nuclear Security Administration (NNSA)

researchers use computer modeling to study HIV | National Nuclear researchers use computer modeling to study HIV | 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 > LANL researchers use computer modeling to study HIV LANL researchers use computer modeling to study HIV Posted By Office of Public Affairs Los Alamos National Laboratory researchers are investigating the complex

149

Business models for information commons in the pharmaceutical industry  

E-Print Network (OSTI)

The pharmaceutical industry needs new modes of innovation. The industry's innovation system - based on massive investments in R&D protected by intellectual property rights - has worked well for many years, providing ...

Bharadwaj, Ragu

2009-01-01T23:59:59.000Z

150

The National Energy Modeling System: An Ocerview 2000 - Preface  

Gasoline and Diesel Fuel Update (EIA)

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

151

The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

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

152

Modeling of Battery Energy Storage in the National Energy Modeling System  

E-Print Network (OSTI)

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

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

1997-01-01T23:59:59.000Z

153

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

Gasoline and Diesel Fuel Update (EIA)

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

154

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

SciTech Connect

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

Not Available

1994-03-01T23:59:59.000Z

155

Modeling of battery energy storage in the National Energy Modeling System  

DOE Green Energy (OSTI)

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

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

1997-12-01T23:59:59.000Z

156

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

Science Conference Proceedings (OSTI)

The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

NONE

1996-02-26T23:59:59.000Z

157

Petroleum Market Model of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

NONE

1997-01-01T23:59:59.000Z

158

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

SciTech Connect

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

NONE

1994-02-24T23:59:59.000Z

159

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

160

A model for a national low level waste program  

SciTech Connect

A national program for the management of low level waste is essential to the success of environmental clean-up, decontamination and decommissioning, current operations and future missions. The value of a national program is recognized through procedural consistency and a shared set of resources. A national program requires a clear waste definition and an understanding of waste characteristics matched against available and proposed disposal options. A national program requires the development and implementation of standards and procedures for implementing the waste hierarchy, with a specitic emphasis on waste avoidance, minimization and recycling. It requires a common set of objectives for waste characterization based on the disposal facility's waste acceptance criteria, regulatory and license requirements and performance assessments. Finally, a national waste certification program is required to ensure compliance. To facilitate and enhance the national program, a centralized generator services organization, tasked with providing technical services to the generators on behalf of the national program, is necessary. These subject matter experts are the interface between the generating sites and the disposal facility(s). They provide an invaluable service to the generating organizations through their involvement in waste planning prior to waste generation and through championing implementation of the waste hierarchy. Through their interface, national treatment and transportation services are optimized and new business opportunities are identified. This national model is based on extensive experience in the development and on-going management of a national transuranic waste program and management of the national repository, the Waste Isolation Pilot Plant. The Low Level Program at the Savannah River Site also successfully developed and implemented the waste hierarchy, waste certification and waste generator services concepts presented below. The Savannah River Site services over forty generators and has historically managed over 12,000 cubic meters of low level waste annually. The results of the waste minimization program at the site resulted in over 900 initiatives, avoiding over 220,000 cubic meters of waste for a life cycle cost savings of $275 million. At the Los Alamos National Laboratory, the low level waste program services over 20 major generators and several hundred smaller generators that produce over 4,000 cubic meters of low level waste annually. The Los Alamos National Laboratory low level waste program utilizes both on-site and off-site disposal capabilities. Off-site disposal requires the implementation of certification requirements to utilize both federal and commercial options. The Waste Isolation Pilot Plant is the US Department of Energy's first deep geological repository for the permanent disposal of Transuanic waste. Transuranic waste was generated and retrievably stored at 39 sites across the US. Transuranic waste is defined as waste with a radionuclide concentration equal to or greater than 100 nCi/g consisting of radionuclides with half-lives greater than 20 years and with an atomic mass greater than uranium. Combining the lessons learned from the national transuranic waste program, the successful low level waste program at Savannah River Site and the experience of off-site disposal options at Los Alamos National Laboratory provides the framework and basis for developing a viable national strategy for managing low level waste.

Blankenhorn, James A [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "national industry model" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
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161

National Skills Assessment of the U.S. Wind Industry in 2012  

DOE Green Energy (OSTI)

A robust workforce is essential to developing domestic wind power projects, including manufacturing, siting, operations, maintenance, and research capabilities. The purpose of our research is to better understand today's domestic wind workforce, projected workforce needs as the industry grows, and how existing and new programs can meet the wind industry's future education and training needs. Results presented in this report provide the first published investigation into the detailed makeup of the wind energy workforce, educational infrastructure and training needs of the wind industry. Insights from this research into the domestic wind workforce will allow the private sector, educational institutions, and federal and state governmental organizations to make workforce-related decisions based on the current employment and training data and future projections in this report.

Levanthal, M.; Tegen, S.

2013-06-01T23:59:59.000Z

162

National survey of industrial markets for steam produced from burning municipal solid waste  

DOE Green Energy (OSTI)

This report presents the methodology and findings of an analysis to determine the maximum size of the industrial market for steam produced from municipal solid waste in the United States. The data used in the analysis were developed from the 1980 census report and the US Chamber of Commerce's 1979 Standard Industrial Classification (SIC) listing. The process used to match potential steam users with populations large enough to generate suitable quantities of waste is presented. No attempt was made to rank the markets or analyze the market economics.

Pearson, C.V.

1983-09-01T23:59:59.000Z

163

The National Energy Modeling System: An Overview 2000 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

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

164

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

DOE Green Energy (OSTI)

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

NONE

1997-02-01T23:59:59.000Z

165

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

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

NONE

1998-02-01T23:59:59.000Z

166

Argonne National Laboratory study of the transfer of federal computational technology to manufacturing industry in the State of Michigan  

SciTech Connect

This report describes a pilot study to develop, initiate the implementation, and document a process to identify computational technology capabilities resident within Argonne National Laboratory to small and medium-sized businesses in the State of Michigan. It is a derivative of a program entitled ``Technology Applications Development Process for the State of Michigan`` undertaken by the Industrial Technology Institute and MERRA under funding from the National Institute of Standards and Technology. The overall objective of the latter program is to develop procedures which can facilitate the discovery and commercialization of new technologies for the benefit of small and medium-size manufacturing firms. Federal laboratories such as Argonne, along with universities, have been identified by the Industrial Technology Institute as key sources of technology which can be profitably commercialized by the target firms. The scope of this study limited the investigation of technology areas for technology transfer to that of computational science and engineering featuring high performance computing. This area was chosen as the broad technological capability within Argonne to investigate for technology transfer to Michigan firms for several reasons. First, and most importantly, as a multidisciplinary laboratory, Argonne has the full range of scientific and engineering skills needed to utilize leading-edge computing capabilities in many areas of manufacturing.

Mueller, C.J.

1991-11-01T23:59:59.000Z

167

Argonne National Laboratory study of the transfer of federal computational technology to manufacturing industry in the State of Michigan  

SciTech Connect

This report describes a pilot study to develop, initiate the implementation, and document a process to identify computational technology capabilities resident within Argonne National Laboratory to small and medium-sized businesses in the State of Michigan. It is a derivative of a program entitled Technology Applications Development Process for the State of Michigan'' undertaken by the Industrial Technology Institute and MERRA under funding from the National Institute of Standards and Technology. The overall objective of the latter program is to develop procedures which can facilitate the discovery and commercialization of new technologies for the benefit of small and medium-size manufacturing firms. Federal laboratories such as Argonne, along with universities, have been identified by the Industrial Technology Institute as key sources of technology which can be profitably commercialized by the target firms. The scope of this study limited the investigation of technology areas for technology transfer to that of computational science and engineering featuring high performance computing. This area was chosen as the broad technological capability within Argonne to investigate for technology transfer to Michigan firms for several reasons. First, and most importantly, as a multidisciplinary laboratory, Argonne has the full range of scientific and engineering skills needed to utilize leading-edge computing capabilities in many areas of manufacturing.

Mueller, C.J.

1991-11-01T23:59:59.000Z

168

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

169

A Field Tested Model of Industrial Energy Conservation Assistance to Small Industries  

E-Print Network (OSTI)

The University of Tennessee is one of three universities selected by the Industrial Energy Conservation Program of the Department of Energy to develop and demonstrate the concept of an Energy Analysis and Diagnostics Center (EADC). The objective of the EADC program is to develop and demonstrate the methodology through which universities may provide assistance to small manufacturing firms in identifying and analyzing energy conservation opportunities. The University of Tennessee EADC has completed 52 industrial energy audits of Tennessee manufacturing firms from which over 150 feasible ECO's have been identified and analyzed. The process consists of the following steps: (1) Analyzing energy consumption and costs for a two year period; (2) Conducting a one day on-site energy audit; (3) Analyzing each ECO for potential energy consumption and cost savings; (4) Preparing a technical report to the firm which contains specific recommendations of economically feasible ECO's; (5) Providing the firm with the appropriate financial analysis. The main emphasis of the process is on quantification of potential energy savings so that the firm has the necessary quantitative data for making a capital investment decision. The average benefit cost ratio of the EADC program has been calculated to be approximately 8. Reduction in annual energy consumption identified from the ECO's was approximately 13% and reduction in annual energy costs was approximately 10%. The entire process is described in sufficient detail to permit other universities to follow the field tested methodology and develop their own programs.

Jendrucko, R. J.; Mitchell, D. S.; Snyder, W. T.; Symonds, F. W.

1980-01-01T23:59:59.000Z

170

Modeling the determinants of industry political power: industry winners in the Economic Recovery Tax Act of 1981  

E-Print Network (OSTI)

This study uses qualitative comparative analysis (QCA) to examine the basis of industry political power by assessing conditions of economic interdependence and political action associated with the passage of the Economic Recovery Tax Act of 1981 (ERTA), and the significant reduction in effective tax rates for eight of eighteen U.S. industries. Past research has focused on the simple passage of "pro-business" legislation, failing to provide adequate evidence as to who benefits or how they benefit from the legislation. The Boolean analysis used in this study indicates that a distinct combination of both political action and economic factors present a clear pattern of causal conditions associated with both tax winners and losers. Using three separate analyses, the theoretically exclusive explanations offered by both class dominance and structural theories fail to provide any clear explanations. Tax policy is associated with a set of conditions that are conjunctural in nature, supporting a combined model. Strong PAC contributions, number of registered lobbyists, and outside lobby firms in association with a strong federal relationship, and either total economic strength or strong inter-industry relations produced the specific conjunctural patterns associated with "winning' industries. Lack of significant PAC contributions to the House Ways and Means and Senate Finance Committees insured an industries failure to benefit from the legislative change. The results from this study indicate that a new theoretical model is needed that incorporates the complexity of the interdependent-relationships of political and economic conditions. Evolving from the mutually exclusive theoretical explanations of the past, class segmentation, political dominance, and structural economic explanations are brought back together in a manner that exposes the complexity of the relationships resulted in tangible benefits from the passage of ERTA.

Kardell, Amy Louise

2005-05-01T23:59:59.000Z

171

Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation  

SciTech Connect

The U.S. National Institute for Building Sciences (NIBS) started the development of the National Building Information Model Standard (NBIMS). Its goal is to define standard sets of data required to describe any given building in necessary detail so that any given AECO industry discipline application can find needed data at any point in the building lifecycle. This will include all data that are used in or are pertinent to building energy performance simulation and analysis. This paper describes the background that lead to the development of NBIMS, its goals and development methodology, its Part 1 (Version 1.0), and its probable impact on building energy performance simulation and analysis.

Bazjanac, Vladimir

2007-08-01T23:59:59.000Z

172

National Environmental Policy Act guidance: A model process  

Science Conference Proceedings (OSTI)

The ``Model National Environmental Policy Act (NEPA) Process`` includes: References to regulations, guidance documents, and plans; training programs; procedures; and computer databases. Legislative Acts and reference documents from Congress, US Department of Energy, and Lockheed Idaho Technologies Company provide the bases for conducting NEPA at the Idaho National Engineering Laboratory (INEL). Lockheed Idaho Technologies Company (LITCO) NEPA / Permitting Department, the Contractor Environmental Organization (CEO) is responsible for developing and maintaining LITCO NEPA and permitting policies, guidance, and procedures. The CEO develops procedures to conduct environmental evaluations based on NEPA, Council on Environmental Quality (CEQ) regulations, and DOE guidance. This procedure includes preparation or support of environmental checklists, categorical exclusion determinations, environmental assessment determinations, environmental assessments, and environmental impact statements. In addition, the CEO uses this information to train personnel conducting environmental evaluations at the INEL. Streamlining these procedures fosters efficient use of resources, quality documents, and better decisions on proposed actions.

Angle, B.M.; Lockhart, V.A.T.; Sema, B.; Tuott, L.C.; Irving, J.S.

1995-04-01T23:59:59.000Z

173

NOMADS: A Climate and Weather Model Archive at the National Oceanic and Atmospheric Administration  

Science Conference Proceedings (OSTI)

An online archive of real-time and historical weather and climate model output and observationaldata is now available from the National Oceanic and Atmospheric Administration (NOAA). This archive, known asthe NOAA National Operational Model ...

Glenn K. Rutledge; Jordan Alpert; Wesley Ebisuzaki

2006-03-01T23:59:59.000Z

174

Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada  

E-Print Network (OSTI)

Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application explore the implications for Canada's industrial sector of an economy-wide, compulsory greenhouse gas of these strengths is linked to challenges when it comes to forecasting the impact of greenhouse gas policy. We

175

Flow Model Development for the Idaho National Laboratory OU 10-08 Sitewide Groundwater Model  

SciTech Connect

A two-dimensional (2D), steady-state groundwater flow model was developed for the Idaho National Laboratory (INL) sitewide groundwater model. A total of 224 wells inside the model domain were used to calibrate the 2D flow model. Three different calibration techniques, zonation approach, pilot point approach and coupled zonation/pilot point approach, were explored and applied during the model development. The pilot point approach allows modelers to model aquifer heterogeneities at various scales, and extract the maximum amount of data from available monitoring data, permitting the best possible representation of flow and transport at the INL.

Hai Huang; Swen Magnuson; Thomas Wood

2005-09-01T23:59:59.000Z

176

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

177

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

178

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

179

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

180

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

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


181

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

182

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

183

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

184

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

185

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

186

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

187

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.

188

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

189

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

Science Conference Proceedings (OSTI)

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

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

2001-09-01T23:59:59.000Z

190

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

191

Quarterly Report for LANL Activities: FY12-Q2 National Risk Assessment Partnership (NRAP): Industrial Carbon Capture Program  

SciTech Connect

This report summarizes progress of LANL activities related to the tasks performed under the LANL FWP FE102-002-FY10, National Risk Assessment Partnership (NRAP): Industrial Carbon Capture Program. This FWP is funded through the American Recovery and Reinvestment Act (ARRA). Overall, the NRAP activities are focused on understanding and evaluating risks associated with large-scale injection and long-term storage of CO{sub 2} in deep geological formations. One of the primary risks during large-scale injection is due to changes in geomechanical stresses to the storage reservoir, to the caprock/seals and to the wellbores. These changes may have the potential to cause CO{sub 2} and brine leakage and geochemical impacts to the groundwater systems. While the importance of these stresses is well recognized, there have been relatively few quantitative studies (laboratory, field or theoretical) of geomechanical processes in sequestration systems. In addition, there are no integrated studies that allow evaluation of risks to groundwater quality in the context of CO{sub 2} injection-induced stresses. The work performed under this project is focused on better understanding these effects. LANL approach will develop laboratory and computational tools to understand the impact of CO{sub 2}-induced mechanical stress by creating a geomechanical test bed using inputs from laboratory experiments, field data, and conceptual approaches. The Geomechanical Test Bed will be used for conducting sensitivity and scenario analyses of the impacts of CO{sub 2} injection. The specific types of questions will relate to fault stimulation and fracture inducing stress on caprock, changes in wellbore leakage due to evolution of stress in the reservoir and caprock, and the potential for induced seismicity. In addition, the Geomechanical Test Bed will be used to investigate the coupling of stress-induced leakage pathways with impacts on groundwater quality. LANL activities are performed under two tasks: (1) develop laboratory and computational tools to understand CO{sub 2}-induced mechanical impacts and (2) use natural analog sites to determine potential groundwater impacts. We are using the Springerville-St. John Dome as a field site for collecting field data on CO{sub 2} migration through faults and groundwater impacts as well as developing and validating computational models. During the FY12 second quarter we have been working with New England Research Company to construct a tri-axial core-holder. We have built fluid control system for the coreflood system that can be ported to perform in-situ imaging of core. We have performed numerical simulations for groundwater impacts of CO{sub 2} and brine leakage using the reservoir model for Springerville-St John's Dome site. We have analyzed groundwater samples collected from Springerville site for major ion chemistry and isotopic composition. We are currently analyzing subsurface core and chip samples acquired for mineralogical composition.

Pawar, Rajesh J. [Los Alamos National Laboratory

2012-04-17T23:59:59.000Z

192

The National Energy Modeling System: An Overview 2000 - Transportation  

Gasoline and Diesel Fuel Update (EIA)

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

193

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

SciTech Connect

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

NONE

1995-02-17T23:59:59.000Z

194

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

E-Print Network (OSTI)

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

Poetting, David Michael

2011-01-01T23:59:59.000Z

195

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

196

Modeling National Impacts for the Building America Program  

SciTech Connect

In this paper we present a model to estimate the nationalenergy and economic impacts of the Department of Energy Building Americaprogram. The program goal is to improve energy performance in newresidential construction, by working with builders to design andconstruct energy-efficient homes at minimal cost. The model is anadaptation of the method used to calculate the national energy savingsfor appliance energy efficiency standards. The main difference is thatthe key decision here is not the consumer decision to buy anefficienthouse, but rather the builder decision to offer such a house inthe market. The builder decision is treated by developing a number ofscenarios in which the relative importance of first costs vs. energysavings is varied.

Coughlin, Katie M.; McNeil, Michael A.

2006-06-15T23:59:59.000Z

197

Development of a model for reactive emissions from industrial stacks  

Science Conference Proceedings (OSTI)

We have developed a model, CAPAS, capable of estimating short-term concentrations of primary and secondary pollutants resulting from point source emissions. The model is designed to simulate the complex interaction of plume dispersion and non-linear ... Keywords: Air pollutants, Dispersion models, Non-linear chemistry, Plume reactivity, Stiff solvers

Luis E. Olcese; Beatriz M. Toselli

2005-10-01T23:59:59.000Z

198

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

199

Daylighting practices of the architectural industry (baseline results of a national survey)  

DOE Green Energy (OSTI)

A national survey of over 300 commercial design architects was conducted to develop baseline information on their knowledge, perceptions, and use of daylighting in commercial building designs. Pacific Northwest Laboratory conducted the survey for the US Department of Energy's (DOE) Office of Building and Community Systems (BCS). In the survey daylighting was defined as the intentional use of natural light as a partial substitute for artificially generated light. The results suggested that architects need to be educated about the true benefits of daylighting and the impacts it can have on a building's energy performance. Educational programs that will increase the architects' understanding and awareness of modern daylighting technologies and practices should be developed by utilities, stage agencies, and the federal government. If more architects can be made aware of the true effectiveness and positive attributes of daylighting systems and technologies, daylighting may be used in more commercial buildings. The results of the survey show that the more familiar architects feel they are with daylighting, the more they use daylighting. 3 refs., 19 tabs.

Hattrup, M.P.

1990-05-01T23:59:59.000Z

200

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

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


201

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

202

Reducing the Anaerobic Digestion Model N1 for its application to an industrial wastewater treatment plant  

E-Print Network (OSTI)

the Anaerobic Digestion Model N°1 for its application to an industrial wastewater treatment plant treating 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 2 Abstract The Anaerobic Digestion Model N°1 (ADM1., 2005). Anaerobic digestion process involves many interactions between species that may not all have

203

A flexible computer software package for industrial steam reformers and methanators based on rigorous heterogeneous mathematical models  

Science Conference Proceedings (OSTI)

An advanced software package for industrial steam reformers based upon heterogeneous models for the catalyst tube is developed and successfully checked against a number of top-fired and side-fired industrial reformers. The package is further developed ...

F. M. Alhabdan; M. A. Abashar; S. S. E. Elnashaie

1992-11-01T23:59:59.000Z

204

The National Energy Modeling System: An Overview 1998 - Preface  

Annual Energy Outlook 2012 (EIA)

Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Renewable Fuels Module Oil and Gas Supply Module Natural Gas...

205

U.S. Department of Energy Commercial Reference Building Models of the National Building Stock  

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

Department of Energy Department of Energy Commercial Reference Building Models of the National Building Stock Michael Deru, Kristin Field, Daniel Studer, Kyle Benne, Brent Griffith, and Paul Torcellini National Renewable Energy Laboratory Bing Liu, Mark Halverson, Dave Winiarski, and Michael Rosenberg Pacific Northwest National Laboratory Mehry Yazdanian Lawrence Berkeley National Laboratory Joe Huang Formerly of Lawrence Berkeley National Laboratory Drury Crawley Formerly of the U.S. Department of Energy Technical Report NREL/TP-5500-46861 February 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory

206

NRELs Industry Growth Forum Boosts Clean Energy Commercialization Efforts (Fact Sheet), The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

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

NREL's Industry Growth Forum NREL's Industry Growth Forum Boosts Clean Energy Commercialization Efforts For more than a decade, the National Renewable Energy Laboratory's (NREL) Industry Growth Forum has been the nation's premier event for early-stage clean energy investment. The forum features presentations from the most innovative, promising, and emergent clean energy companies; provocative panels led by thought leaders; and organized networking opportunities. It is the perfect venue for growing cleantech companies to present their business to a wide range of investors. The caliber of investors and entrepreneurial companies that attend are just a part of what make the forum the preeminent clean energy investment event in the country. The forum's unique presentation format, rich educational content, and rigorous evaluation process leave

207

DOE/DHS INDUSTRIAL CONTROL SYSTEM CYBER SECURITY PROGRAMS: A MODEL FOR USE IN NUCLEAR FACILITY SAFEGUARDS AND SECURITY  

SciTech Connect

Many critical infrastructure sectors have been investigating cyber security issues for several years especially with the help of two primary government programs. The U.S. Department of Energy (DOE) National SCADA Test Bed and the U.S. Department of Homeland Security (DHS) Control Systems Security Program have both implemented activities aimed at securing the industrial control systems that operate the North American electric grid along with several other critical infrastructure sectors (ICS). These programs have spent the last seven years working with industry including asset owners, educational institutions, standards and regulating bodies, and control system vendors. The programs common mission is to provide outreach, identification of cyber vulnerabilities to ICS and mitigation strategies to enhance security postures. The success of these programs indicates that a similar approach can be successfully translated into other sectors including nuclear operations, safeguards, and security. The industry regulating bodies have included cyber security requirements and in some cases, have incorporated sets of standards with penalties for non-compliance such as the North American Electric Reliability Corporation Critical Infrastructure Protection standards. These DOE and DHS programs that address security improvements by both suppliers and end users provide an excellent model for nuclear facility personnel concerned with safeguards and security cyber vulnerabilities and countermeasures. It is not a stretch to imagine complete surreptitious collapse of protection against the removal of nuclear material or even initiation of a criticality event as witnessed at Three Mile Island or Chernobyl in a nuclear ICS inadequately protected against the cyber threat.

Robert S. Anderson; Mark Schanfein; Trond Bjornard; Paul Moskowitz

2011-07-01T23:59:59.000Z

208

2011 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Advanced Test Reactor Complex Cold Waste Pond  

SciTech Connect

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (LA 000161 01, Modification B), for the wastewater land application site at the Idaho National Laboratory Site's Advanced Test Reactor Complex Cold Waste Pond from November 1, 2010 through October 31, 2011. The report contains the following information: Facility and system description Permit required effluent monitoring data and loading rates Groundwater monitoring data Status of compliance activities Noncompliance and other issues Discussion of the facility's environmental impacts During the 2011 permit year, approximately 166 million gallons of wastewater were discharged to the Cold Waste Pond. This is well below the maximum annual permit limit of 375 million gallons. As shown by the groundwater sampling data, sulfate and total dissolved solids concentrations are highest near the Cold Waste Pond and decrease rapidly as the distance from the Cold Waste Pond increases. Although concentrations of sulfate and total dissolved solids are elevated near the Cold Waste Pond, both parameters were below the Ground Water Quality Rule Secondary Constituent Standards in the down gradient monitoring wells.

Mike Lewis

2012-02-01T23:59:59.000Z

209

2012 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Advanced Test Reactor Complex Cold Waste Pond  

SciTech Connect

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (#LA 000161 01, Modification B), for the wastewater land application site at the Idaho National Laboratory Sites Advanced Test Reactor Complex Cold Waste Pond from November 1, 2011 through October 31, 2012. The report contains the following information: Facility and system description Permit required effluent monitoring data and loading rates Groundwater monitoring data Status of compliance activities Noncompliance issues Discussion of the facilitys environmental impacts During the 2012 permit year, approximately 183 million gallons of wastewater were discharged to the Cold Waste Pond. This is well below the maximum annual permit limit of 375 million gallons. As shown by the groundwater sampling data, sulfate and total dissolved solids concentrations are highest near the Cold Waste Pond and decrease rapidly as the distance from the Cold Waste Pond increases. Although concentrations of sulfate and total dissolved solids are elevated near the Cold Waste Pond, both parameters were below the Ground Water Quality Rule Secondary Constituent Standards in the down gradient monitoring wells.

Mike Lewis

2013-02-01T23:59:59.000Z

210

The application of neural networks with artificial intelligence technique in the modeling of industrial processes  

Science Conference Proceedings (OSTI)

Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)

2008-10-07T23:59:59.000Z

211

Petroleum Market Model of the National Energy Modeling System. Part 2  

SciTech Connect

This report contains the following: Bibliography; Petroleum Market Model abstract; Data quality; Estimation methodologies (includes refinery investment recovery thresholds, gas plant models, chemical industry demand for methanol, estimation of refinery fixed costs, estimation of distribution costs, estimation of taxes gasoline specifications, estimation of gasoline market shares, estimation of low-sulfur diesel market shares, low-sulfur diesel specifications, estimation of regional conversion coefficients, estimation of SO{sub 2} allowance equations, unfinished oil imports methodology, product pipeline capacities and tariffs, cogeneration methodology, natural gas plant fuel consumption, and Alaskan crude oil exports); Matrix generator documentation; Historical data processing; and Biofuels supply submodule.

1997-12-18T23:59:59.000Z

212

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

213

Distributed generation capabilities of the national energy modeling system  

SciTech Connect

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

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

2003-01-01T23:59:59.000Z

214

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

Gasoline and Diesel Fuel Update (EIA)

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

215

DOE Directory National Energy Models - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The LDSM also uses a technologies database develops jointly with the demand modules. Individual DSM ... Oak Ridge National Laboratory, Energy Data Book 20, ...

216

Econometric model of the U.S. sheep and mohair industries for policy analysis  

E-Print Network (OSTI)

The U.S. sheep industry has been declining in size for many years. Many factors have contributed to the decline of the sheep industry including declining consumption of lamb and mutton, the growth in manmade fiber use, scarcity of labor, and predator losses. In an effort to slow the rate of decline in the U.S. sheep industry, the U.S. Congress passed the Wool Act of 1954. In 1993, Congress passed a three-year phase out of the Wool Act incentive payments with the last payments occurring in 1996. The 2002 Farm Bill included a marketing loan program for wool. The loan rates are set to $0.40 per pound for un-graded wool, $1.00 per pound for graded wool. In recent years exchange rate changes have had a large impact on the industry affecting lamb and wool trade. The U.S. is the second largest producer of mohair and Texas accounts for over 85 percent of the U.S. mohair production. Mohair also received incentive payments through the Wool Act. Mohair payments were also phased out along with the wool incentive payments. Moreover, the 2002 Farm Bill reinstated support for the industry by implementing a loan program with loan rates of $4.20 per pound of mohair. This analysis uses capital stock inventory accounting methodology to model the supply side of the sheep industry. Demand is incorporated using traditional single equations and complete demand system estimation methods. OLS, 2SLS, and 3SLS models are developed and tested for the single equations estimation methods. The OLS model is used to model the impacts of three different levels of loan rates for wool. Also, an OLS mohair model is developed and used to examine the impacts of three different levels of loan rates for mohair. Results indicate that the sheep industry will continue to decline even with the marketing loan program for wool in the 2002 Farm Bill. However, a higher loan rate for wool would reduce the decline rate of the industry. The Angora goat industry will continue to decline in size, but with a higher loan rate for mohair, the number of goats clipped would increase.

Ribera Landivar, Luis Alejandro

2003-05-01T23:59:59.000Z

217

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth Forum  

E-Print Network (OSTI)

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth Forum;National Renewable Energy Laboratory Innovation for Our Energy Future The 22nd NREL Industry Growth Forum

218

Modelling commodity prices in the Australian National Electricity Market.  

E-Print Network (OSTI)

??Beginning in the early 1990s several countries, including Australia, have pursued programs of deregulation and restructuring of their electricity supply industries. Dissatisfaction with state-run monopoly (more)

Thomas, S

2007-01-01T23:59:59.000Z

219

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

220

Business information modeling for process integration in the mold making industry  

Science Conference Proceedings (OSTI)

Driven by industrial needs and enabled by the latest information technology, enterprise integration has rapidly shifted from information integration to process integration for performance excellence in the entire business process. This paper reports ... Keywords: Business object modeling, Enterprise integration, Process integration

Qianfu Ni; Wen Feng Lu; Prasad K. D. V. Yarlagadda; Xinguo Ming

2007-04-01T23:59:59.000Z

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


221

Civil War Icon Becomes National Clean Energy Model | Department of Energy  

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

Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model December 2, 2010 - 2:26pm Addthis Sunita Satyapal Program Manager, Hydrogen & Fuel Cell Technology Program Nearly a century and a half after the first shots of the Civil War, Fort Sumter National Monument is poised to become a national model for clean energy. By adopting solar and hydrogen fuel cell technologies, the monument will generate clean, renewable power - establishing itself as an energy self-sufficient island. This project is part of the Energy SmartPARKS initiative. This first-of-its-kind collaboration - launched in 2008 with the Department of Energy, Department of Interior, and the National Park Service - is designed to implement and showcase sustainable energy

222

Civil War Icon Becomes National Clean Energy Model | Department of Energy  

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

Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model December 2, 2010 - 2:26pm Addthis Sunita Satyapal Program Manager, Hydrogen & Fuel Cell Technology Program Nearly a century and a half after the first shots of the Civil War, Fort Sumter National Monument is poised to become a national model for clean energy. By adopting solar and hydrogen fuel cell technologies, the monument will generate clean, renewable power - establishing itself as an energy self-sufficient island. This project is part of the Energy SmartPARKS initiative. This first-of-its-kind collaboration - launched in 2008 with the Department of Energy, Department of Interior, and the National Park Service - is designed to implement and showcase sustainable energy

223

Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 3  

SciTech Connect

This Appendix consists of two unpublished reports produced by Energy and Environmental Analysis, Inc., under contract to Oak Ridge National Laboratory. These two reports formed the basis for the subsequent development of the Fuel Economy Model described in Volume 1. They are included in order to document more completely the efforts undertaken to construct a comprehensive model of automobile fuel economy. The supplemental reports are as follows: Supplement 1--Documentation Attributes of Technologies to Improve Automotive Fuel Economy; Supplement 2--Analysis of the Fuel Economy Boundary for 2010 and Comparison to Prototypes.

NONE

1998-01-01T23:59:59.000Z

224

Spatial Resolution Impacts on National Meteorological Center Nested Grid Model Simulations  

Science Conference Proceedings (OSTI)

Forecasts from different resolution versions of the National Meteorological Center Nested Grid Model (NGM) are compared for two case studies to assess an optimal ratio of model vertical and horizontal resolutions. Four combinations are considered:...

David D. Houghton; Ralph A. Petersen; Richard L. Wobus

1993-05-01T23:59:59.000Z

225

The National Meteorological Center's Quasi-Lagrangian Model for Hurricane Prediction  

Science Conference Proceedings (OSTI)

A description is presented of the National Meteorological Center's Quasi-Lagrangian Model (QLM), which is used for operational hurricane prediction. The model uses the primitive equations with high horizontal and vertical resolution, and includes ...

Mukut B. Mathur

1991-06-01T23:59:59.000Z

226

Distributed feedback control for an eulerian model of the national airspace system  

E-Print Network (OSTI)

This paper proposes an Eulerian model of traffic flows in the National Airspace System (NAS) and presents a distributed feedback control approach for managing the flows. The main contribution is the development of a model ...

Le Ny, Jerome

227

Further Evaluation of the National Meterological Center's Medium-Range Forecast Model Precpitation Forecasts  

Science Conference Proceedings (OSTI)

Precipitation forecasts made by the National Meteorological Center's medium-range forecast (MRF) model are evaluated for the period, 1 March 1987 to 31 March 1989. As shown by Roads and Maisel, the MRF model wet bias was substantially alleviated ...

John O. Roads; T. Norman Maisal; Jordan Alpert

1991-12-01T23:59:59.000Z

228

National Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry (Fact Sheet), Building America: Technical Highlight, Building Technologies Program (BTP)  

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

Residential Residential Efficiency Measures Database Aimed at Reducing Risk for Residential Retrofit Industry Researchers at the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) have developed the National Residential Efficiency Measures Database, a public database that characterizes the performance and costs of common residential energy efficiency measures. The data are available for use in software programs that evaluate cost- effective retrofit measures to improve the energy efficiency of residential buildings. This database: * Provides information in a standardized format. * Improves the technical consistency and accuracy of the results of software programs. * Enables experts and stakeholders to view the retrofit information and provide comments to improve data

229

Long-term Contracting in a Deregulated Electricity Industry: Simulation Results from a Hydro Management Model  

E-Print Network (OSTI)

The deregulation of electricity industry has introduced long-term contracting as a tool for hedging risk and strategy. A vital consideration for market participants is the relationship between behaviour in the spot market, and decisions taken in the contract market. We have developed a reservoir management model which integrates a Cournot spot market model into a Dual Dynamic Programming framework. Simulations using this model show that the market outcomes depend strongly upon the level of contracting undertaken by both competitors. We develop hypotheses for the dynamics involved, and present results from the simulation model reinforcing these. 1.

Stephen Batstone; Tristram Scott

1998-01-01T23:59:59.000Z

230

Chapter 18: Understanding the Developing Cellulosic Biofuels Industry through Dynamic Modeling  

DOE Green Energy (OSTI)

The purpose of this chapter is to discuss a system dynamics model called the Biomass Scenario Model (BSM), which is being developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the burgeoning cellulosic biofuels industry in the United States. The model has also recently been expanded to include advanced conversion technologies and biofuels (i.e., conversion pathways that yield biomass-based gasoline, diesel, jet fuel, and butanol), but we focus on cellulosic ethanol conversion pathways here. The BSM uses a system dynamics modeling approach (Bush et al., 2008) built on the STELLA software platform.

Newes, E.; Inman, D.; Bush, B.

2011-01-01T23:59:59.000Z

231

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

Science Conference Proceedings (OSTI)

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

NONE

1998-01-01T23:59:59.000Z

232

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

233

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

234

Modeling Interregional Transmission Congestion in the NationalEnergy Modeling System  

SciTech Connect

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

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

2006-05-25T23:59:59.000Z

235

Idaho National Laboratory/Nuclear Power Industry Strategic Plan for Light Water Reactor Research and Development An Industry-Government Partnership to Address Climate Change and Energy Security  

SciTech Connect

The dual issues of energy security and climate change mitigation are driving a renewed debate over how to best provide safe, secure, reliable and environmentally responsible electricity to our nation. The combination of growing energy demand and aging electricity generation infrastructure suggests major new capacity additions will be required in the years ahead.

Electric Power Research

2007-11-01T23:59:59.000Z

236

Lawrence Livermore National Security Cost Model Functional Management Assessment  

Science Conference Proceedings (OSTI)

The scope of the Functional Management Assessment of the cost model included a review of the plan and progress of the Cost Model Review Team. The review focused on processes in place to ensure simplicity, compliance with cost accounting standards and indirect cost allocation methodology, and the change management plan. This was intended to be a high-level initial review in order to provide recommendations for a subsequent more comprehensive review. The single document reviewed by the team during the assessment was the Indirect Cost Recovery Model Review, which describes how the indirect rate restructure and new organizational structure have resulted in streamlined charging practices to better understand and strategically manage costs. ISSUE 1: The cost model focuses heavily on rate structure but not on cost management. Significant progress has been made to simplify the rate structure. The number of indirect rates has been reduced from 67 different indirect rates used under the prior contract to 32 rates in the first year of the LLNS contract, with a goal of further reduction to 16 for FY09. The reductions are being recommended by a broad-based Working Group driven by Lab leadership desiring a simplified rate structure that would make it easier to analyze the true cost of overhead, be viewed as equitable, and ensure appropriate use of Service, i.e., operations, Centers. This has been a real challenge due to the significant change in approach from one that previously involved a very complex rate structure. Under this prior approach, the goal was to manage the rates, and rates were established at very detailed levels that would 'shine the light' on pools of overhead costs. As long as rates stayed constant or declined, not as much attention tended to be given to them, particularly with so many pools to review (184 indirect rate pools in FY05). However, as difficult and important as simplifying the rate structure has been, the fundamental reason for the simplification is to make it easier to analyze the true cost of overhead so the costs can be effectively managed. For the current year, the overall the goal of keeping the total cost of an FTE to FY07 levels. This approach reflects the past practice of managing to rates rather than focusing on costs, although streamlined with the more simplified rate structure. Given all the challenges being faced with the contract transition, this was a reasonable interim tactic for dealing with the known cost increases such as fees and taxes. Nonetheless, in order to take full advantage of the opportunities that exist for making sound decisions for further reducing the rates themselves, the Laboratory needs to implement an ongoing and disciplined approach to understanding and managing overhead cost. ISSUE 2: The NIF has a significantly different rate structure than other Laboratory work. Because of its significant size and unique organizational structure as a major construction project, the National Ignition Facility (NIF) has indirect charges that vary from the norm. These variations were reviewed and approved by and disclosed to the NNSA in the Laboratory's past annual Disclosure Statements. In mid-FY 09, NIF will begin transition from a construction line item to an operational center. The reallocation of costs when this occurs could significantly impact the Laboratory's rates and rate structure planning for that transition from a cost- and rate- impact standpoint should begin soon. ISSUE 3: The new rate model must be finalized shortly in order to implement the model beginning in FY 09. As noted in Issue No.1, a Working Group has developed a simplified rate structure for the Lab to use for FY09. The Working Group has evaluated the cost impacts of the simplified rate structure at the major program level and identified a disparate impact in the Safeguards and Security area where a substantial increase in overhead cost allocation may need to be mitigated. The simplified rate structure will need to be approved by the Laboratory Director and issued within the Laboratory to formulate detailed bu

Tevis, J; Hirahara, J; Thomas, B; Mendez, M

2008-06-12T23:59:59.000Z

237

The Pacific Northwest National Laboratory delivers financially attractive systems that use biomass to produce industrial and consumer products.  

E-Print Network (OSTI)

biomass to produce industrial and consumer products. While biomass holds potential for a ready supply from biomass--has stymied government and industry alike. The U.S. Department of Energy's Pacific to using biomass. Our research is focused on producing high-value bioproducts, such as chemicals

238

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

239

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

SciTech Connect

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

1997-02-01T23:59:59.000Z

240

A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green  

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

A Tale of Two Cities: Greensburg Rebuilds as a National Model for A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green Communities (Fact Sheet), Energy Efficiency & Renewable Energy (EERE) A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green Communities (Fact Sheet), Energy Efficiency & Renewable Energy (EERE) This fact sheet provides a summary of how DOE and NREL's technical assistance in Greensburg, Kansas, helped the town rebuild green after recovering from a tornado in May 2007. 54901.pdf More Documents & Publications NREL Helps Greensburg Set the Model for Green Communities (Fact Sheet), Innovation: The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory) Leading the Nation in Clean Energy Deployment (Fact Sheet), Integrated Deployment: Overview of Projects (ID)

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


241

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

242

Model of penetration of coal boilers and cogeneration in the paper industry  

SciTech Connect

A model has been developed to forecast the penetration of coal boilers and cogeneration of electricity in the paper industry. Given the demand for energy services (process steam and electricity) by the paper industry, the Penetration Model forecasts the demand for purchased fuel and electricity. The model splits the demand for energy service between energy carriers (coal, fuel oil/natural gas, bark, and spent liquor) on the basis of the installed capacity of 16 types of boilers (combinations of four types of energy carriers and four types of throttle conditions). Investment in new boilers is allocated by an empirical distribution function among the 16 types of boilers on the basis of life cycle cost. In the short run (5 years), the Penetration Model has a small price response. The model has a large price response in the long run (30 years). For constant fuel prices, the model forecasts a 19-percent share for coal and a 65-percent share for residual oil in the year 2000. If the real price of oil and gas doubles by the year 2000, the model forecasts a 68-percent share for coal and a 26-percent share for residual oil.

Reister, D.B.

1982-01-01T23:59:59.000Z

243

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

244

EIA - Assumptions to the Annual Energy Outlook 2009 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing 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

245

Materials and process engineering projects for the Sandia National Laboratories/Newly Independent States Industrial Partnering Program. Volume 2  

SciTech Connect

In July, 1994, a team of materials specialists from Sandia and US. Industry traveled to Russia and the Ukraine to select and fund projects in materials and process technology in support of the Newly Independent States/Industrial Partnering Program (NIS/IPP). All of the projects are collaborations with scientists and Engineers at NIS Institutes. Each project is scheduled to last one year, and the deliverables are formatted to supply US. Industry with information which will enable rational decisions to be made regarding the commercial value of these technologies. This work is an unedited interim compilation of the deliverables received to date.

Zanner, F.J.; Moffatt, W.C.

1995-07-01T23:59:59.000Z

246

National Residential Efficiency Measures Database Reduces Risk for Home Retrofit Industry (Fact Sheet), NREL Highlights, Research & Development  

SciTech Connect

A new database of residential building measures and estimated costs helps the U.S. building industry determine the most cost-effective means of improving efficiency of existing homes.

Not Available

2011-05-01T23:59:59.000Z

247

A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green  

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

A Tale of Two Cities: Greensburg Rebuilds as a National Model for A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green Communities (Fact Sheet), Energy Efficiency & Renewable Energy (EERE) A Tale of Two Cities: Greensburg Rebuilds as a National Model for Green Communities (Fact Sheet), Energy Efficiency & Renewable Energy (EERE) This fact sheet provides a summary of how DOE and NREL's technical assistance in Greensburg, Kansas, helped the town rebuild green after recovering from a tornado in May 2007. 54901.pdf More Documents & Publications NREL Helps Greensburg Set the Model for Green Communities (Fact Sheet), Innovation: The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory) Rebuilding Greensburg, Kansas, as a Model Green Community: A Case Study; NREL's Technical Assistance to Greensburg, June 2007-May 2009

248

Data Domain to Model Domain Conversion Package | Argonne National  

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

Data Domain to Model Domain Conversion Package Data Domain to Model Domain Conversion Package Data Domain to Model Domain Conversion Package The Data Domain to Model Domain Conversion Package project will develop methods and implement a novel approach for generating data ensembles by using the latest available statistical modeling tools and knowledge of relevant physical and chemical process to develop climatologically aware methods for processing ACRF and other spatially sparse data sets. Data collected at the Atmospheric Radiation Measurement Program Climate Research Facility (ACRF) sites are employed mainly in column radiation models, to validate the models and develop new parameterizations. Currently, no single methodology can be used with data collected at the spatial scale of the ACRF sites or from specific AmeriFlux locations, to

249

FOAM: Fast Ocean Atmosphere Model | Argonne National Laboratory  

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

FOAM: Fast Ocean Atmosphere Model FOAM: Fast Ocean Atmosphere Model FOAM: Fast Ocean Atmosphere Model FOAM is a fully coupled, mixed-resolution, general circulation model designed for high-throughput (simulated years per day) while still providing a good simulated mean climate and simulated variability. FOAM uses the combination of a low resolution (R15) atmosphere model, a highly efficient medium-resolution ocean model, and distributed memory parallel processing to achieve high throughput on relatively modest numbers of processors (16-64). The quality of the simulated climate compares well with higher resolution models. No flux corrections are used. FOAM's intended purpose is to study long-term natural variability in the climate system. FOAM is also well suited for paleoclimate applications. FOAM is highly

250

Industrial alliances  

Science Conference Proceedings (OSTI)

The United States is emerging from the Cold War era into an exciting, but challenging future. Improving the economic competitiveness of our Nation is essential both for improving the quality of life in the United States and maintaining a strong national security. The research and technical skills used to maintain a leading edge in defense and energy now should be used to help meet the challenge of maintaining, regaining, and establishing US leadership in industrial technologies. Companies recognize that success in the world marketplace depends on products that are at the leading edge of technology, with competitive cost, quality, and performance. Los Alamos National Laboratory and its Industrial Partnership Center (IPC) has the strategic goal to make a strong contribution to the nation`s economic competitiveness by leveraging the government`s investment at the Laboratory: personnel, infrastructure, and technological expertise.

Adams, K.V.

1993-09-13T23:59:59.000Z

251

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

SciTech Connect

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.

NONE

1994-12-30T23:59:59.000Z

252

Industrial fuel choice analysis model. Volume II. Appendices to model documentation  

SciTech Connect

Descriptions, documentation, and other information are included in these appendices dealing with industrial fuel choices: Energy Consumption Data Base; Major Fuel Burning Installation Survey; American Boiler Manufacturers Association Data File; Midrange Energy Forecasting System; Projection Method; Capacity Utilization Rates; Nonboiler Characteristics; Boiler Capital and O and M Cost Data; Nonboiler Capital and O and M Cost Data; Approach to Estimating Energy Impacts of the Coal Conversion Regulatory Program; Index or Acronyms.

1979-01-08T23:59:59.000Z

253

Physics and Engineering Models | National Nuclear Security Administrat...  

National Nuclear Security Administration (NNSA)

initiatives such as academic alliances and Russian programs are included here. Thermal & Fluid Response This area develops and delivers predictive science-based models that...

254

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

Gasoline and Diesel Fuel Update (EIA)

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

255

Renewable Fuels Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Model Purpose ... present value of the wind technology over its economi c life and then competes wind technology with fossil and other alternatives in the capacity ...

256

Smart Grid Technology Interactive Model | Argonne National Laboratory  

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

Smart Grid Technology Interactive Model Share Description As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid...

257

Stakeholder driven update and improvement of a national water resources model  

Science Conference Proceedings (OSTI)

It is generally acknowledged that water management must be based on an integrated approach, considering the entire freshwater cycle. This has in particularly been endorsed in Europe by the European Water Framework Directive (WFD) imposing integrated ... Keywords: Denmark, Groundwater, Integrated modelling, Model updating, National model, Stakeholder involvement

Anker Lajer HJberg; Lars Troldborg; Simon Stisen; Britt B. S. Christensen; Hans JRgen Henriksen

2013-02-01T23:59:59.000Z

258

FIERAsystem: A Fire Risk Assessment Model for Light Industrial Building Fire Safety Evaluation  

E-Print Network (OSTI)

this report. The current report describes the framework for the new model, individual submodels used for calculations, and the information that the model provides to the design engineer or building official. The framework that FIERAsystem uses to conduct a hazard analysis and the process used to perform a risk analysis are also discussed in the report. 2. FRAMEWORK OF FIERAsystemMODEL The FIERAsystem model allows the user to perform a number of fire protection engineering calculations in order to evaluate fire protection systems in industrial buildings. At start-up, FIERAsystem provides several calculation options, which allow the user to: use standard engineering correlations, run individual submodels, conduct a hazard analysis, or conduct a risk analysis

N. Kashef; A. Torvi; G. Reid; Noureddine Benichou; Ahmed Kashef; David Torvi; George Hadjisophocleous; Irene Reid

2002-01-01T23:59:59.000Z

259

Application of fundamental kinetic modeling to industrial chlorination and partial oxidation processes  

E-Print Network (OSTI)

The Fundamental Kinetic Modeling (FKM) method is able to use a growing amount of elementary kinetic rate constant data to simulate industrial reactions and therefore gain insight and predictive capabilities beyond those of traditional empirical kinetic models. Because traditional empirical kinetic models often simplify the underlying kinetics into a single overall reaction, these recently determined values cannot be used directly. In addition to simulating irreducible chemical events as opposed to an overall reaction, the FKM does not make assumptions about microscopic reversibility. To obtain the reverse rate constants, the thermophysical properties for the species are required. Advances in computing technology have made ab initio quantum chemical calculations feasible for oxygenated and chlorinated hydrocarbons. Thermophysical properties for species that cannot be obtained experimentally are now available with greater accuracy than using prior estimating techniques. The FKM method is able to use these values to obtain information about temperature and concentration profiles as well as product distributions and selectivities for a variety of reactor configurations. The application of the FKM method to industrial reactions could be used to optimize existing operating conditions or to predict novel processes. One such chemistry is the oxychlorination of ethane to vinyl chloride. The problem is most easily solved in three steps: the development of a thermal chlorination model, the development of a partial oxidation model, and the combination of the two models with the necessary additional species and reactions. This work focuses on the first two steps. A thermal chlorination model is verified against two sources of experimental data with good quantitative agreement. In addition, differences in product distributions are explained by examining the kinetic pathways. Also, an existing partial oxidation model is combined with newly calculated thermophysical properties. The agreement with two experimental data sources is not as good quantitatively; however, qualitative agreement is observed. Areas for improvement to obtain quantitative agreement are determined.

Han, Joseph Hsiao-Tien

2000-01-01T23:59:59.000Z

260

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

Gasoline and Diesel Fuel Update (EIA)

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

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


261

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

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

NONE

1995-12-28T23:59:59.000Z

262

Published by Oak Ridge National Laboratory No. 1 2010 The industrial sector accounts for nearly one-third of the  

E-Print Network (OSTI)

in the production of batteries for elec- tric vehicles?" To help make American battery manufacturers more com-third of the U.S. economy and nearly one-quarter of the products of global manufacturing. Industry drives the U of technologies with interested manufacturers to ensure world-class technology and products. The technologies

263

National Utility Financial Statement model (NUFS). Volume I of III: Model overview and description. Final report  

SciTech Connect

The National Utility Financial Statement (NUFS) model which takes the output for the electric utility sector from the Midterm Energy Forecasting System (MEFS) model and forecasts electric utility financial statements is described. NUFS forecasts separately for public and investor owned utilities, the following tables for each region on an annual basis: income statement; balance sheet; sources and uses of funds; development of revenue requirement on an annual basis; reconciliation of tax expenses, current taxes and income taxes at a 46% statutory rate; interest coverage; external financing as a percent of total uses of funds; AFUDC as a percentage of total uses of funds; book value and market to book rate; dividends per share; and actual return on equity. In addition, NUFS has been designed to supply inputs to the MEFS iterative solution process. The first such input is the fixed charge rates for each plant type. This quantity is used to form the objective function for the MEFS electric utility model. The second set of inputs are for the existing MEFS electricity price forecasting module. These inputs are referred to as pricing coefficients and old money revenue requirements.

1981-10-29T23:59:59.000Z

264

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

265

Argonne gets wind of new energy models | Argonne National Laboratory  

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

gets wind of new energy models By Jared Sagoff * January 11, 2010 Tweet EmailPrint Sailors and golfers aren't the only people interested in knowing how much the wind blows; people...

266

Modeling the National Potential for Offshore Wind: Preprint  

SciTech Connect

The Wind Deployment System (WinDS) model was created to assess the potential penetration of offshore wind in the United States under different technology development, cost, and policy scenarios.

Short, W.; Sullivan, P.

2007-06-01T23:59:59.000Z

267

The National Energy Modeling System: An Overview 1998 - Carbon Emissions  

Gasoline and Diesel Fuel Update (EIA)

CARBON EMISSIONS CARBON EMISSIONS A part of the integrating module, the carbon emissions submodule (CEM) computes the carbon emissions due to the combustion of energy. The coefficients for carbon emissions are derived from Energy Information Administration, Emissions of Greenhouse Gases in the United States 1996, published in October 1997. The calculations account for the fact that some fossil fuels are used for nonfuel purposes, such as feedstocks, and thus the carbon in the fuel is sequestered in the end product. CEM also allows for several carbon policy evaluation options to be imposed within NEMS. Although none of the policy options are assumed in the Annual Energy Outlook 1998, the options can be used in special analyses to simulate potential market-based approaches to meet national carbon emission

268

ooSEM (poster session): a process model for object-oriented development in an industrial environment  

Science Conference Proceedings (OSTI)

Applying current object-oriented (OO) methods in an industrial environment is by itself not sufficient for a certification according to the norm EN ISO 9001, which requires the application of a comprehensive process model that includes, among other things, ...

Hermann Kaindl; Stefan Huber; mer Karacan; Ilir Kondo; Herwig Schreiner; Helge-Wernhard S

2000-01-01T23:59:59.000Z

269

Modeling of Plume Downwash and Enhanced Diffusion near Buildings: Comparison to Wind Tunnel Observations for in Arctic Industrial Site  

Science Conference Proceedings (OSTI)

The ability of a modified Industrial Source Complex model to simulate concentration distributions resulting from high wind speeds (neutral conditions) has been evaluated by comparison to data from a wind tunnel study of a Prudhoe Bay, AK oil-...

Alex Guenther; Brian Lamb; Ronald Petersen

1989-05-01T23:59:59.000Z

270

The Office of Fossil Energy's National Energy Technology Laboratory \(NETL\) is teaming with industry and acadamia through ...  

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

Energy-National Energy Technology Laboratory's NOx Energy-National Energy Technology Laboratory's NOx Control Program for Coal-Fired Power Plants Bruce W. Lani and Thomas J. Feeley, III U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940 Pittsburgh, PA 15236-0940 (412) 386-5819 Fax: (412) 386-5917 Email: lani@netl.doe.gov ABSTRACT The environmental performance of the United States' fleet of coal-fired boilers has steadily improved over the last three decades in response to concerns on the potential impact of emissions on the environment. Emissions of sulfur dioxide (SO 2 ), nitrogen oxide (NOx), particulate matter (PM) have been significantly reduced during this period while coal use has almost doubled. However, further restrictions on emissions from power plants have been proposed in response to issues such as mercury, acid rain,

271

What can be learned from classical inventory models: a cross-industry empirical investigation  

E-Print Network (OSTI)

Abstract: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often concerned with the aggregate macroscopic view of a firms inventory rather than with the inventories of individual products. Given that classical inventory models often do not account for many practical considerations that a companys management faces (e.g., competition, industry dynamics, business cycles, the financial state of the company and of the economy, etc.) and that they are derived at the product and not at the firm level, can insights from these models be used to explain the inventory dynamics of entire companies? This exploratory study aims to address this issue using empirical data. We analyze absolute and relative inventories using a quarterly data panel that contains 722 public US companies for the period 1992 to 2002. We have chosen companies that are not widely diversified and whose business in large part relies on inventory management in order to concentrate on empirically testing hypotheses derived from a variety of classical inventory models (EOQ, (Q,r), newsvendor, periodic review, etc.). We find empirical evidence that firms operating with more uncertain demand, longer lead times and higher gross margins have higher inventory levels. Furthermore, larger companies appear to benefit from economies of scale and therefore have relatively less inventory than smaller companies. We obtain mixed evidence on the relationship between inventory levels and inventory holding costs. We also analyze the breakdown of data into eight segmentsoil and gas, electronics, wholesale, retail, machinery, hardware, food and chemicalsand find that, with a few notable exceptions, our hypotheses are supported within the segments as well. Overall, our results demonstrate that many of the predictions from classical inventory models extend beyond individual products to the more aggregate firm level; hence, these models can help with high-level strategic choices in addition to tactical decisions.

Serguei Roumiantsev; Serguei Netessine

2006-01-01T23:59:59.000Z

272

Model for multi-strata safety performance measurements in the process industry  

E-Print Network (OSTI)

Measuring process safety performance is a challenge, and the wide variations in understanding, compliance, and implementation of process safety programs increase the challenge. Process safety can be measured in three strata: (1) measurement of process safety elements within facilities; (2) benchmarking of process safety elements among facilities; and (3) use of incident data collection from various sources for industrial safety performance assessment. The methods presently available for measurement of process safety within facilities are deficient because the results are strongly dependent on user judgment. Performance benchmarking among facilities is done within closed groups of organizations. Neither the questionnaires nor the results are available to the public. Many organizations collect data on industrial incidents. These organizations differ from each other in their interests, data collection procedures, definitions, and scope, and each of them analyzes its data to achieve its objectives. However, there have been no attempts to explore the potential of integrating data sources and harnessing these databases for industrial safety performance assessment. In this study we developed models to pursue the measurement of samples of the strata described above. The measurement methodologies employed herein overcome the disadvantages of existing methodologies and increase their capabilities.

Keren, Nir

2003-12-01T23:59:59.000Z

273

Adapting to contradiction : competing models of organization in the United States organic foods industry  

E-Print Network (OSTI)

in the U.S. brewing industry. American Journal of Sociology,above with the organic industry professionals because theyThe institutional context of industry creation. Academy of

Haedicke, Michael Anthony

2008-01-01T23:59:59.000Z

274

First National Technology Center  

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

9 10 First National Technology First National Technology Center Center The Nature of the Grid - Industrial Age Power - Normal Course Voltage Interruptions: 2-3 seconds Lights and...

275

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

A part of the integrating module, the carbon emissions submodule (CEM), computes the carbon emissions from the combustion of energy. The coefficients for carbon emissions are derived from Energy Information Administration, Emissions of Greenhouse Gases in the United States 1998,14 published in October 1999. The coefficients account for the fact that some fossil fuels are used for nonfuel purposes, such as feedstocks, and thus the carbon in the fuel is sequestered in the end product. A part of the integrating module, the carbon emissions submodule (CEM), computes the carbon emissions from the combustion of energy. The coefficients for carbon emissions are derived from Energy Information Administration, Emissions of Greenhouse Gases in the United States 1998,14 published in October 1999. The coefficients account for the fact that some fossil fuels are used for nonfuel purposes, such as feedstocks, and thus the carbon in the fuel is sequestered in the end product. CEM also allows for several carbon policy evaluation options to be analyzed within NEMS. Although these policy options are not assumed in the Annual Energy Outlook 2000, the options have been used in special analyses to simulate potential market-based approaches to meet national carbon emission objectives. The policy options implemented in CEM are as follows:

276

National program plan for research and development in solar heating and cooling for building, agricultural, and industrial applications  

DOE Green Energy (OSTI)

The main feature of the directed program is the focus on specific approaches, called paths, to the application of solar energy. A path is the linking of a method of energy collection or rejection with a particular application. Eleven such paths are identified for building applications and eleven for agricultural and industrial process applications. Here, an overview is given of the program plan. The 11 paths to the solar heating and cooling of buildings and the 11 paths for agricultural and industrial process applications are described. Brief descriptions of these tasks and of the non-engineering tasks are included. The importance of each non-engineering task to the overall R and D program is indicated. (MHR)

Not Available

1978-08-01T23:59:59.000Z

277

Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model  

E-Print Network (OSTI)

Auto Industry Models to Review Electric Vehicle Costing andElectric Vehicles in the Nation's Energy Future , DE86-003295, Argonne National Laboratory, Illinois, November (1984). Auto industry

Delucchi, Mark; Burke, Andy; Lipman, Timothy; Miller, Marshall

2000-01-01T23:59:59.000Z

278

Remote foods shopping robot system in a supermarket Tetsuo TOMIZAWA, National Inst. of Advanced Industrial Science and Technology  

E-Print Network (OSTI)

with the integrated system. Key Words: Remote shopping, Foods handling, Human interface 1. [1] 2 Remote foods shopping robot system in a supermarket Tetsuo TOMIZAWA, National Inst as a teleoperated tool for accessing and manipulating remote objects. This system attempts to answer the challenge

Ohya, Akihisa

279

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

280

EIA - The National Energy Modeling System: An Overview 2003-Coal Market  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The National Energy Modeling System: An Overview 2003 Coal Market Module Figure 19. Coal Market Module Demand Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 20. Coal Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 21. Coal Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Coal Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The coal market module (CMM) represents the mining, transportation, and pricing of coal, subject to end–use demand. Coal supplies are differentiated by heat and sulfur content. CMM also determines the minimum cost pattern of coal supply to meet exogenously defined U.S. coal

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


281

Performance of National Weather Service Forecasts Compared to Operational, Consensus, and Weighted Model Output Statistics  

Science Conference Proceedings (OSTI)

Model output statistics (MOS) guidance has been the central model postprocessing approach used by the National Weather Service since the 1970s. A recent advancement in the use of MOS is the application of consensus MOS (CMOS), an average of MOS ...

Jeffrey A. Baars; Clifford F. Mass

2005-12-01T23:59:59.000Z

282

An Examination of 500-mb Cyclones and Anticyclones in National Meteorological Center Prediction Models  

Science Conference Proceedings (OSTI)

The National Meteorological Center's 72-b spectral model forecasts for the 198384 cool season are examined in an appraisal of the model's ability to simulate 500-mb cyclones and anticyclones, defined by the existence of at least one (60-m ...

J. Todd Hawes; Stephen J. Colucci

1986-11-01T23:59:59.000Z

283

National Utility Financial Statement model (NUFS). Volume III of III: software description. Final report  

SciTech Connect

This volume contains a description of the software comprising the National Utility Financial Statement Model (NUFS). This is the third of three volumes describing NUFS provided by ICF Incorporated under contract DEAC-01-79EI-10579. The three volumes are entitled: model overview and description, user's guide, and software guide.

Not Available

1981-10-29T23:59:59.000Z

284

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

285

Accelerating technology transfer from federal laboratories to the private sector by industrial R and D collaborations - A new business model  

Science Conference Proceedings (OSTI)

Many important products and technologies were developed in federal laboratories and were driven initially by national needs and for federal applications. For example, the clean room technology that enhanced the growth of the semiconductor industry was developed at Sandia National Laboratories (SNL) decades ago. Similarly, advances in micro-electro-mechanical-systems (MEMS)--an important set of process technologies vital for product miniaturization--are occurring at SNL. Each of the more than 500 federal laboratories in the US, are sources of R and D that contributes to America's economic vitality, productivity growth and, technological innovation. However, only a fraction of the science and technology available at the federal laboratories is being utilized by industry. Also, federal laboratories have not been applying all the business development processes necessary to work effectively with industry in technology commercialization. This paper addresses important factors that federal laboratories, federal agencies, and industry must address to translate these under utilized technologies into profitable products in the industrial sector.

LOMBANA,CESAR A.; ROMIG JR.,ALTON D.; LINTON,JONATHAN D.; MARTINEZ,J. LEONARD

2000-04-13T23:59:59.000Z

286

Statistical modeling of spontaneous combustion in industrial-scale coal stockpiles  

SciTech Connect

Companies consuming large amounts of coal should work with coal stocks in order to not face problems due to production delays. The industrial-scale stockpiles formed for the aforementioned reasons cause environmental problems and economic losses for the companies. This study was performed in a coal stock area of a large company in Konya, which uses large amounts of coal in its manufacturing units. The coal stockpile with 5 m width, 10 m length, 3 m height, and having 120 tons of weight was formed in the coal stock area of the company. The inner temperature data of the stockpile was recorded by 17 temperature sensors placed inside the stockpile at certain points. Additionally, the data relating to the air temperature, air humidity, atmospheric pressure, wind velocity, and wind direction that are the parameters affecting the coal stockpile were also recorded. A statistical model applicable for a spontaneous combustion event was developed during this study after applying multi-regression analyses to the data recorded in the stockpile during the spontaneous combustion event. The correlation coefficients obtained by the developed statistical model were measured approximately at a 0.95 level. Thus, the prediction of temperature variations influential in the spontaneous combustion event of the industrial-scale coal stockpiles will be possible.

Ozdeniz, H [Selcuk University, Konya (Turkey). Dept. of Mining Engineering

2009-07-01T23:59:59.000Z

287

The National Energy Modeling System: An Overview 2000 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

renewable fuels module (RFM) consists of five submodules that represent the various types of renewable energy technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (wind, solar, and geothermal) are used to generate electricity, the interaction with the electricity market module (EMM) is important for modeling grid-connected renewable-electric applications. The penetration of grid-connected generation technologies, with the exception of municipal solid waste, is determined by EMM. Hydropower is included in EMM directly. renewable fuels module (RFM) consists of five submodules that represent the various types of renewable energy technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (wind, solar, and geothermal) are used to generate electricity, the interaction with the electricity market module (EMM) is important for modeling grid-connected renewable-electric applications. The penetration of grid-connected generation technologies, with the exception of municipal solid waste, is determined by EMM. Hydropower is included in EMM directly. Figure 11. Renewable Fuels Module Structure Each submodule of RFM is solved independently of the rest. Because variable operation and maintenance costs for renewable technologies are lower than for any other major generating technology and they produce almost no air pollution, all available renewable generating capacity is dispatched first by EMM.

288

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

Gasoline and Diesel Fuel Update (EIA)

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

289

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

Gasoline and Diesel Fuel Update (EIA)

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

290

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

Gasoline and Diesel Fuel Update (EIA)

COMMERCIAL DEMAND MODULE COMMERCIAL DEMAND MODULE blueball.gif (205 bytes) Floorspace Submodule blueball.gif (205 bytes) Energy Service Demand Submodule blueball.gif (205 bytes) Equipment Choice Submodule blueball.gif (205 bytes) Energy Consumption Submodule The commercial demand module (CDM) forecasts energy consumption by Census division for eight marketed energy sources plus solar thermal energy. For the three major commercial sector fuels, electricity, natural gas and distillate oil, the CDM is a "structural" model and its forecasts are built up from projections of the commercial floorspace stock and of the energy-consuming equipment contained therein. For the remaining five marketed "minor fuels," simple econometric projections are made. The commercial sector encompasses business establishments that are not

291

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

Gasoline and Diesel Fuel Update (EIA)

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

292

Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation  

Science Conference Proceedings (OSTI)

The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.

Werbos, P.J.

1983-12-01T23:59:59.000Z

293

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

Gasoline and Diesel Fuel Update (EIA)

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

294

Partnering Highlights - Industrial Partnerships Office  

Lawrence Livermore National Laboratory (LLNL) is participating in six industry projects for the advancement of energy technologies using high ...

295

Demand Management Demonstration Project, Stage 5: development of industrial load simulation model. Executive summary. Final report  

SciTech Connect

The purpose of this project was to design, develop, test and document a computer simulation model of electric utility generating costs required to meet industrial power demands and the effects of utility load management on these generating costs. The results showed that the model developed is a well conceived load management testing, marginal costing tool. What if situations can be readily tested to determine their impact on system profile and short run marginal costs. The terms unshaped and shaped refer to customers or system use patterns before and after some load management technique was tested. The total flexibility of the model is only apparent after the user has studied test runs in detail. Hourly marginal costs reveal many unexpected changes as a result of shaping loads. Other unexpected changes due to varying economic dispatch schedules while shaping, illustrate the unprecedental latitude for the user to explore optimum generation and load management combinations. The general concept of the model is depicted in the flow chart on the next page.

1977-04-01T23:59:59.000Z

296

Improving the Contribution of Economic Models in Evaluating Industrial Energy Efficiency Improvements  

E-Print Network (OSTI)

Traditional representation of improved end-use efficiency in the manufacturing sector has tended to assume a net cost perspective. In other words, the assumption for many models is that any change within the energy end-use patterns must imply a cost without concomitant energy bill savings. This tends to significantly overstate the cost of new energy policies. Yes, the range of technologies available to satisfy end-use service demands does require (admittedly) a significant level of capital. But more often than not, there is a return on that investment; and that return on investment is typically overlooked in many of the standard economic policy models. This paper describes the differences between many of the conventional energy models now used for energy policy assessments compared to those which more properly reflect a trade-off between new capital investment and end-use energy savings as both capital and energy are used to satisfy a specific industrial service demand. The paper builds on a discussion provided by Neal Elliott for approximating service demands within food products manufacturing (NAICS 311). It then shows how the proper treatment of investment flows may provide a different outcome for policy assessments than might be provided by the standard policy models.

Laitner, J. A.

2007-01-01T23:59:59.000Z

297

New Modeling Tool Analyzes Floating Platform Concepts for Offshore Wind Turbines (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)  

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

at the National Renewable Energy Laboratory at the National Renewable Energy Laboratory (NREL) develop a new complex modeling and analysis tool capable of analyzing floating platform concepts for offshore wind turbines. The new modeling tool combines the computational methodologies used to analyze land-based wind turbines with the comprehensive hydrodynamic computer programs developed for offshore oil and gas industries. This new coupled dynamic simulation tool will enable the development of cost-effective offshore technologies capable of harvesting the rich offshore wind resources at water depths that cannot be reached using the current technology. Currently, most offshore wind turbines are installed in shallow water, less than 30 meters deep, on bottom-mounted substructures. But these substructures are not

298

Industrial Combustion Emissions (ICE) model, Version 6. 0. User's manual. Report for November 1984-August 1987  

SciTech Connect

This report is a user's manual for the Industrial Combustion Emissions (ICE) model. It summarizes user options and software characteristics, and describes both the input data files and procedures for operating the model. It discusses proper formatting of files and creation of job-control language. The model projects for each state the emissions of sulfur oxides, sulfates, and nitrogen oxides from fossil-fuel combustion in industrial boilers. Emissions and costs of boiler generation, including emission-control costs, are projected for the years 1985, 1990, 1995, 2000, 2010, 2020, and 2030.

Hogan, T.

1988-02-01T23:59:59.000Z

299

BEHAVIOURAL REALISM IN A TECHNOLOGY EXPLICIT ENERGY-ECONOMY MODEL: THE ADOPTION OF INDUSTRIAL COGENERATION IN CANADA  

E-Print Network (OSTI)

for setting behavioural parameters in a hybrid energy-economy model revealed that an information campaign market share by 6-8% over business as usual. An empirical uncertainty analysis conducted on these #12;ivBEHAVIOURAL REALISM IN A TECHNOLOGY EXPLICIT ENERGY-ECONOMY MODEL: THE ADOPTION OF INDUSTRIAL

300

Will Model-based Definition replace engineering drawings throughout the product lifecycle? A global perspective from aerospace industry  

Science Conference Proceedings (OSTI)

The Model-based Definition (MBD) approach is gaining popularity in various industries. MBD represents a trend in Computer-aided Design (CAD) that promises reduced time-to-market and improved product quality. Its main goal is to improve and accelerate ... Keywords: CAD, Engineering drawing, MBD, Model-based Definition, Product lifecycle

Virgilio Quintana; Louis Rivest; Robert Pellerin; Frdrick Venne; Fawzi Kheddouci

2010-06-01T23:59:59.000Z

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


301

BEHAVIOURAL REALISM IN A TECHNOLOGY EXPLICIT ENERGY-ECONOMY MODEL: THE ADOPTION OF INDUSTRIAL COGENERATION IN CANADA  

E-Print Network (OSTI)

COGENERATION IN CANADA Prepared for: OFFICE OF ENERGY EFFICIENCY NATURAL RESOURCES CANADA Prepared by: NIC choice model was estimated from the results. The model showed that industrial cogeneration is a relatively unknown technology to many firms. Among those that were familiar with cogeneration, its high

302

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

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The National Energy Modeling System: An Overview 2003 Oil and Gas Supply Module The oil and gas supply module (OGSM) consists of a series of process submodules that project the availability of: Domestic crude oil production and dry natural gas production from onshore, offshore, and Alaskan reservoirs Imported pipeline–quality gas from Mexico and Canada Imported liquefied natural gas. Figure 12. Oil and Gas Supply Module Regions. Need help, contact the National Energy Information Center at 202-202-586-8800. Figure 13. Oil and Gas Suppply Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Oil and Gas Supply Module Table. Need help, contact the National Energy Information Center at 202-586-8800.

303

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

Gasoline and Diesel Fuel Update (EIA)

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

304

Estimating a Model of Strategic Network Choice: The Convenience-Store Industry in Okinawa  

E-Print Network (OSTI)

This paper examines the impacts of the merger of two multi-store rms, using new crosssectional data from the convenience-store industry in Okinawa, Japan. I propose a general methodology for estimating a game of network choice by two multi-store rms. I use latticetheoretical results to deal with the huge number of possible network choices. I integrate the entry model with post-entry outcome data, while correcting for the selection of entrants by simulations. Parameter estimates nd the acquirer of a hypothetical merger of two chains would increase its number of stores in the city center in Okinawa but would decrease its number in suburbs. The trade-o of cost savings and lost revenues from clustering its own stores plays a central role in explaining this seemingly odd result. I also examine the impacts of eliminating the zoning regulation introduced in 1968, which has been a major urban policy issue.

Mitsukuni Nishida Y

2009-01-01T23:59:59.000Z

305

Financial Impact of Good Condenser Vacuum in Industrial Steam Turbines: Computer Modeling Techniques  

E-Print Network (OSTI)

Industrial turbine throttle conditions are fixed by plant designs - materials of construction, steam requirements, etc. Condensing turbine exhaust conditions are limited by the atmosphere to which residual heat is rejected; and are fixed by installed condenser surface area and the steam space characteristics. Since the steam rate and shaft power costs are dependent on the available enthalpy drop across the machine, the steam must condense at the lowest practical thermal state. Thus, air presence and cooling rate must be controlled. The condensing turbine is not an isolated system. It directly affects the use of boiler fuel and the purchase of power. Its condensate requires reheating to feedwater temperature: steam is used, backpressure power is made, for example. Its performance affects the entire steam system and must be monitored persistently. Because of the complexities (and advantages) of systems analyses, computer modeling is demonstrated in this paper to fully evaluated the network effects and the financial impact of good condenser vacuum.

Viar, W. L.

1984-01-01T23:59:59.000Z

306

Lagrangian Modeling at Sandia National Laboratories: Current Status and Future Directions  

National Nuclear Security Administration (NNSA)

Lagrangian Modeling at Sandia National Laboratories: Lagrangian Modeling at Sandia National Laboratories: Current Status and Future Directions A. C. Robinson, * Martin W. Heinstein, * Guglielmo Scovazzi * * Sandia National Laboratories, New Mexico, 87185 Efficient Lagrangian methodologies for quadrilaterals and hexahedral meshes have been available for a number of years. Mesh generation issues for complex three-dimensional geometries can, however, be a severe limiting factor. Mesh generation for triangular and tetrahedral meshes is readily available, but solid mechanics discretizations on these meshes are not so well established because of problems with locking. We review a relatively new node-based uniform strain element as well as an SUPG stabilized formulation that hold promise for effective simulations

307

EIA - The National Energy Modeling System: An Overview 2003-Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuelsl Module Renewable Fuelsl Module The National Energy Modeling System: An Overview 2003 Renewable Fuels Module Figure 11. Renewable Fuels Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Renewable Fuels Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The renewable fuels module (RFM) represents renewable energy resoures and large–scale technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (biomass, conventional hydroelectricity, geothermal, landfill gas, solar photovoltaics, solar thermal, and wind) are used to generate electricity, the RFM primarily interacts with the electricity market module (EMM). New renewable energy generating capacity is either model–determined or

308

Business Case for Fast Charging of Industrial Lift Truck Fleets: Life Cycle Cost Model  

Science Conference Proceedings (OSTI)

In industrial settings, up to three battery packs are required per electric industrial lift truck: one in use, another being charged, and a third being cooled. Many industry experts see this as a financial barrier in selling electric over internal combustion (IC) industrial lift trucks. EPRI sponsored this study to provide a thorough evaluation of the economics in support of a business case for fast charging lift truck fleets.

2000-09-18T23:59:59.000Z

309

Modeling the national chlorinated hydrocarbon supply chain and effects of disruption.  

SciTech Connect

Chlorinated hydrocarbons represent the precursors for products ranging from PVC and refrigerants to pharmaceuticals. Natural or manmade disruptions that affect the availability of these products nationally have the potential to affect a wide range of markets, from healthcare to construction. Sandia National Laboratories (Sandia) has developed datasets and models that allow the analysis of the interdependencies within the chlorine chemical supply chain and consequences of disruptions. Combining data on plant locations, transportation, utilities, and the chemical supply chain itself, with modeling tools such as N-ABLE, a Sandia-developed agent based modeling system, allows Sandia to model this complex system dynamically. Sandia has used the N-ABLE technology to simulate a disruption to the chlorinated hydrocarbon supply chain caused by a hurricane striking the Louisiana coast. This paper presents results and conclusions from this analysis.

Sun, Amy Cha-Tien; Downes, Paula Sue; Blair, Angela S. (United States Department of Homeland Security Science & Technology Directorate); Welk, Margaret Ellen

2010-03-01T23:59:59.000Z

310

Broadband Model Performance for an Updated National Solar Radiation Database in the United States of America: Preprint  

DOE Green Energy (OSTI)

Updated review of broadband model performance in a project being done to update the existing United States National Solar Radiation Database (NSRDB).

Myers, D. R.; Wilcox, S.; Marion, W.; George, R.; Anderberg, M.

2005-09-01T23:59:59.000Z

311

The National Center for Atmospheric Research Community Climate Model: CCM3  

Science Conference Proceedings (OSTI)

The latest version of the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3) is described. The changes in both physical and dynamical formulation from CCM2 to CCM3 are presented. The major differences in CCM3 compared ...

J. T. Kiehl; J. J. Hack; G. B. Bonan; B. A. Boville; D. L. Williamson; P. J. Rasch

1998-06-01T23:59:59.000Z

312

Technological prospects and CO2 emission trading analyses in the iron and steel industry: A global model Energy  

E-Print Network (OSTI)

This article presents the Iron and Steel Industry Model (ISIM). This is a world simulation model able to analyze the evolution of the industry from 1997 to 2030, focusing on steel production, demand, trade, energy consumption, CO2 emissions, technology dynamics, and retrofitting options. In the context of the Kyoto Protocol on climate change, the potential impacts of a CO2 emission market (e.g. the gains in terms of compliance costs, the country trading position, the evolution of the technology and the energy mixes) are also addressed. In particular, three emission trading scenarios are considered: an EU15 market, an enlarged EU market, and an Annex B market.

Ignacio Hidalgo; Laszlo Szabo; Juan Carlos Ciscar; Antonio Soria

2005-01-01T23:59:59.000Z

313

Fractured rock modeling in the National Waste Terminal Storage Program: a review of requirements and status  

Science Conference Proceedings (OSTI)

Generalized computer codes capable of forming the basis for numerical models of fractured rock masses are being used within the NWTS program. Little additional development of these codes is considered justifiable, except in the area of representation of discrete fractures. On the other hand, model preparation requires definition of medium-specific constitutive descriptions and site characteristics and is therefore legitimately conducted by each of the media-oriented projects within the National Waste Terminal Storage program. However, it is essential that a uniform approach to the role of numerical modeling be adopted, including agreement upon the contribution of modeling to the design and licensing process and the need for, and means of, model qualification for particular purposes. This report discusses the role of numerical modeling, reviews the capabilities of several computer codes that are being used to support design or performance assessment, and proposes a framework for future numerical modeling activities within the NWTS program.

St. John, C.; Krug, A.; Key, S.; Monsees, J.

1983-05-01T23:59:59.000Z

314

National micro-data based model of residential electricity demand: new evidence on seasonal variation  

SciTech Connect

Building on earlier estimates of electricity demand, the author estimates elasticities by month to determine differences between heating and cooling seasons. He develops a three equation model of residential electricity demand that includes all the main components of economic theory. The model generates seasonal elasticity estimates that generally support economic theory. Based on the model using a national current household data set (monthly division), the evidence indicates there is a seasonal pattern for price elasticity of demand. While less pronounced, there also appears to be seasonal patterns for cross-price elasticity of alternative fuels, for the elasticity of appliance stock index, and for an intensity of use variable.

Garbacz, C.

1984-07-01T23:59:59.000Z

315

An Analysis of the Accuracy of 120-h Predictions by the National Meteorological Center's Medium-Range Forecast Model  

Science Conference Proceedings (OSTI)

An assessment was made of the 120-h predictions by the medium range forecast (MRF) run of the National Meteorological Center's (NMC's) global spectral model. The ability of the model to forecast surface cyclones and anticyclones was evaluated and ...

Mary A. Bedrick; Anthony J. Cristaldi III; Stephen J. Colucci; Daniel S. Wilks

1994-03-01T23:59:59.000Z

316

The Meteorological Model BOLAM at the National Observatory of Athens: Assessment of Two-Year Operational Use  

Science Conference Proceedings (OSTI)

Since November 1999, the hydrostatic meteorological Bologna Limited-Area Model (BOLAM) has been running operationally at the National Observatory of Athens. The assessment of the model forecast skill during the 2-yr period included (a) ...

K. Lagouvardos; V. Kotroni; A. Koussis; H. Feidas; A. Buzzi; P. Malguzzi

2003-11-01T23:59:59.000Z

317

Pricing Effect of Restaurant Industry Related Factors on Fama French Three Factor Model.  

E-Print Network (OSTI)

??The purpose of this study was to investigate the effect of the addition of restaurant industry-related factors on the accuracy and explanatory power of the (more)

Denizci, Basak

2006-01-01T23:59:59.000Z

318

Adapting and adjusting test process reflecting characteristics of embedded software and industrial properties based on referential models  

Science Conference Proceedings (OSTI)

Test activities are very important for the product quality. Testability Maturity Model (TMM) and Test Process Improvement (TPI) are often applied to improve the test activities. However, in the domain of embedded software, there are many different concerns ... Keywords: TMM, TPI, adapting, embedded, industrial, process, test

Chongwon Lee

2009-11-01T23:59:59.000Z

319

JEDI: Jobs and Economic Development Impacts Model, National Renewable Energy Laboratory (NREL) (Fact Sheet)  

Wind Powering America (EERE)

JEDI: Jobs and Economic Development Impacts Model JEDI: Jobs and Economic Development Impacts Model The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL's Wind Powering America program to model wind energy jobs and impacts, JEDI has been expanded to biofuels, concentrating solar power, coal, and natural gas power plants. Based on project-specific and default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area (usually a state) that could reasonably be supported by a power generation project. For example, JEDI estimates the number of in-state construction

320

Research utilization in the building industry: decision model and preliminary assessment  

Science Conference Proceedings (OSTI)

The Research Utilization Program was conceived as a far-reaching means for managing the interactions of the private sector and the federal research sector as they deal with energy conservation in buildings. The program emphasizes a private-public partnership in planning a research agenda and in applying the results of ongoing and completed research. The results of this task support the hypothesis that the transfer of R and D results to the buildings industry can be accomplished more efficiently and quickly by a systematic approach to technology transfer. This systematic approach involves targeting decision makers, assessing research and information needs, properly formating information, and then transmitting the information through trusted channels. The purpose of this report is to introduce elements of a market-oriented knowledge base, which would be useful to the Building Systems Division, the Office of Buildings and Community Systems and their associated laboratories in managing a private-public research partnership on a rational systematic basis. This report presents conceptual models and data bases that can be used in formulating a technology transfer strategy and in planning technology transfer programs.

Watts, R.L.; Johnson, D.R.; Smith, S.A.; Westergard, E.J.

1985-10-01T23:59:59.000Z

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


321

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth Forum  

E-Print Network (OSTI)

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth Forum Renewable Energy Laboratory Innovation for Our Energy Future Applications to Present MA: 22 CT: 2 NH: 2 RI

322

Architectural considerations for agent-based national scale policy models : LDRD final report.  

SciTech Connect

The need to anticipate the consequences of policy decisions becomes ever more important as the magnitude of the potential consequences grows. The multiplicity of connections between the components of society and the economy makes intuitive assessments extremely unreliable. Agent-based modeling has the potential to be a powerful tool in modeling policy impacts. The direct mapping between agents and elements of society and the economy simplify the mapping of real world functions into the world of computation assessment. Our modeling initiative is motivated by the desire to facilitate informed public debate on alternative policies for how we, as a nation, provide healthcare to our population. We explore the implications of this motivation on the design and implementation of a model. We discuss the choice of an agent-based modeling approach and contrast it to micro-simulation and systems dynamics approaches.

Backus, George A.; Strip, David R.

2007-09-01T23:59:59.000Z

323

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

Science Conference Proceedings (OSTI)

The attachments contained within this appendix provide additional details about the model development and estimation process which do not easily lend themselves to incorporation in the main body of the model documentation report. The information provided in these attachments is not integral to the understanding of the model`s operation, but provides the reader with opportunity to gain a deeper understanding of some of the model`s underlying assumptions. There will be a slight degree of replication of materials found elsewhere in the documentation, made unavoidable by the dictates of internal consistency. Each attachment is associated with a specific component of the transportation model; the presentation follows the same sequence of modules employed in Volume 1. The following attachments are contained in Appendix F: Fuel Economy Model (FEM)--provides a discussion of the FEM vehicle demand and performance by size class models; Alternative Fuel Vehicle (AFV) Model--describes data input sources and extrapolation methodologies; Light-Duty Vehicle (LDV) Stock Model--discusses the fuel economy gap estimation methodology; Light Duty Vehicle Fleet Model--presents the data development for business, utility, and government fleet vehicles; Light Commercial Truck Model--describes the stratification methodology and data sources employed in estimating the stock and performance of LCT`s; Air Travel Demand Model--presents the derivation of the demographic index, used to modify estimates of personal travel demand; and Airborne Emissions Model--describes the derivation of emissions factors used to associate transportation measures to levels of airborne emissions of several pollutants.

NONE

1998-01-01T23:59:59.000Z

324

Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) Modeling System to Build a National Air Quality Forecasting System  

Science Conference Proceedings (OSTI)

NOAA and the U.S. Environmental Protection Agency (EPA) have developed a national air quality forecasting (AQF) system that is based on numerical models for meteorology, emissions, and chemistry. The AQF system generates gridded model forecasts ...

Tanya L. Otte; George Pouliot; Jonathan E. Pleim; Jeffrey O. Young; Kenneth L. Schere; David C. Wong; Pius C. S. Lee; Marina Tsidulko; Jeffery T. McQueen; Paula Davidson; Rohit Mathur; Hui-Ya Chuang; Geoff DiMego; Nelson L. Seaman

2005-06-01T23:59:59.000Z

325

Secretary Chu visits Sandia National Labs | National Nuclear...  

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

Mayor Richard Berry on a tour of Sandia National Laboratories' National Solar Thermal Test Facility, which is working to advance industry collaboration on clean energy...

326

Secretary Chu visits Sandia National Labs | National Nuclear...  

National Nuclear Security Administration (NNSA)

and Albuquerque Mayor Richard Berry on a tour of Sandia National Laboratories' National Solar Thermal Test Facility, which is working to advance industry collaboration on clean...

327

2010 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Sites Advanced Test Reactor Complex Cold Waste Pond  

Science Conference Proceedings (OSTI)

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (#LA 000161 01, Modification B), for the wastewater land application site at the Idaho National Laboratory Sites Advanced Test Reactor Complex Cold Waste Pond from November 1, 2009 through October 31, 2010. The report contains the following information: Facility and system description Permit required effluent monitoring data and loading rates Groundwater monitoring data Status of compliance activities Discussion of the facilitys environmental impacts During the 2010 permit year, approximately 164 million gallons of wastewater were discharged to the Cold Waste Pond. As shown by the groundwater sampling data, sulfate and total dissolved solids concentrations are highest near the Cold Waste Pond and decrease rapidly as the distance from the Cold Waste Pond increases. Although concentrations of sulfate and total dissolved solids are elevated near the Cold Waste Pond, both parameters were below the Ground Water Quality Rule Secondary Constituent Standards in the down gradient monitoring wells.

mike lewis

2011-02-01T23:59:59.000Z

328

Energy Efficiency Improvement and Cost Saving Opportunities for the Pharmaceutical Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

22 nd National Industrial Energy Technology Conference18 th National Industrial Energy Technology Conferenceof Demonstrated Energy Technologies (CADDET). (1993).

Galitsky, Christina

2008-01-01T23:59:59.000Z

329

Energy Efficiency Improvement and Cost Saving Opportunities for the Glass Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

Demonstrated Energy Technologies (CADDET), The Netherlands.second National Industrial Energy Technology ConferenceNational Industrial Energy Technology Conference. Houston,

Worrell, Ernst

2008-01-01T23:59:59.000Z

330

JEDI: Jobs and Economic Development Impacts Model, National Renewable Energy Laboratory (NREL) (Fact Sheet)  

DOE Green Energy (OSTI)

The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL's Wind Powering America program to model wind energy jobs and impacts, JEDI has been expanded to biofuels, concentrating solar power, coal, and natural gas power plants. Based on project-specific and default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area (usually a state) that could reasonably be supported by a power generation project. For example, JEDI estimates the number of in-state construction jobs from a new wind farm. This fact sheet provides an overview of the JEDI model as it pertains to wind energy projects.

Not Available

2009-12-01T23:59:59.000Z

331

WaterSense Program: Methodology for National Water Savings Analysis Model Indoor Residential Water Use  

SciTech Connect

The U.S. Environmental Protection Agency (EPA) influences the market for plumbing fixtures and fittings by encouraging consumers to purchase products that carry the WaterSense label, which certifies those products as performing at low flow rates compared to unlabeled fixtures and fittings. As consumers decide to purchase water-efficient products, water consumption will decline nationwide. Decreased water consumption should prolong the operating life of water and wastewater treatment facilities.This report describes the method used to calculate national water savings attributable to EPA?s WaterSense program. A Microsoft Excel spreadsheet model, the National Water Savings (NWS) analysis model, accompanies this methodology report. Version 1.0 of the NWS model evaluates indoor residential water consumption. Two additional documents, a Users? Guide to the spreadsheet model and an Impacts Report, accompany the NWS model and this methodology document. Altogether, these four documents represent Phase One of this project. The Users? Guide leads policy makers through the spreadsheet options available for projecting the water savings that result from various policy scenarios. The Impacts Report shows national water savings that will result from differing degrees of market saturation of high-efficiency water-using products.This detailed methodology report describes the NWS analysis model, which examines the effects of WaterSense by tracking the shipments of products that WaterSense has designated as water-efficient. The model estimates market penetration of products that carry the WaterSense label. Market penetration is calculated for both existing and new construction. The NWS model estimates savings based on an accounting analysis of water-using products and of building stock. Estimates of future national water savings will help policy makers further direct the focus of WaterSense and calculate stakeholder impacts from the program.Calculating the total gallons of water the WaterSense program saves nationwide involves integrating two components, or modules, of the NWS model. Module 1 calculates the baseline national water consumption of typical fixtures, fittings, and appliances prior to the program (as described in Section 2.0 of this report). Module 2 develops trends in efficiency for water-using products both in the business-as-usual case and as a result of the program (Section 3.0). The NWS model combines the two modules to calculate total gallons saved by the WaterSense program (Section 4.0). Figure 1 illustrates the modules and the process involved in modeling for the NWS model analysis.The output of the NWS model provides the base case for each end use, as well as a prediction of total residential indoor water consumption during the next two decades. Based on the calculations described in Section 4.0, we can project a timeline of water savings attributable to the WaterSense program. The savings increase each year as the program results in the installation of greater numbers of efficient products, which come to compose more and more of the product stock in households throughout the United States.

Whitehead, Camilla Dunham; McNeil, Michael; Dunham_Whitehead, Camilla; Letschert, Virginie; della_Cava, Mirka

2008-02-28T23:59:59.000Z

332

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

333

COMPARING MODEL RESULTS TO NATIONAL CLIMATE POLICY GOALS: RESULTS FROM THE ASIA MODELING EXERCISE  

SciTech Connect

While the world has yet to adopt a single unified policy to limit climate change, many countries and regions have adopted energy and climate policies that have implications for global emissions. In this paper, we discuss a few key policies and how they are included in a set of 24 energy and integrated assessment models that participated in the Asia Modeling Exercise. We also compare results from these models for a small set of stylized scenarios to the pledges made as part of the Copenhagen Accord and the goals stated by the Major Economies Forum. We find that the targets outlined by the United States, the European Union, Japan, and Korea require significant policy action in most of the models analyzed. For most of the models in the study, however, the goals outlined by India are met without any climate policy. The stringency of climate policy required to meet Chinas Copenhagen pledges varies across models and accounting methodologies.

Calvin, Katherine V.; Fawcett, Allen A.; Jiang, Kejun

2012-12-01T23:59:59.000Z

334

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

335

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

336

Analysing and modelling international trade patterns of the Australian wine industry in the world wine market.  

E-Print Network (OSTI)

??Since the mid-1980s, trade liberalisation has encouraged the growth of Australias international trade. The Australian wine industry has been successful in the world wine market, (more)

Boriraj, Jumpoth

2008-01-01T23:59:59.000Z

337

Using a total landed cost model to foster global logistics strategy in the electronics industry  

E-Print Network (OSTI)

Global operation strategies have been widely used in the last several decades as many companies and industries have taken advantage of lower production costs. However, in choosing a location, companies often only consider ...

Jearasatit, Apichart

2010-01-01T23:59:59.000Z

338

Customer service model for waste tracking at Los Alamos National Laboratory  

SciTech Connect

The deployment of any new software system in a production facility will always face multiple hurtles in reaching a successful acceptance. However, a new waste tracking system was required at the plutonium processing facility at Los Alamos National Laboratory (LANL) where waste processing must be integrated to handle Special Nuclear Materials tracking requirements. Waste tracking systems can enhance the processing of waste in production facilities when the system is developed with a focus on customer service throughout the project life cycle. In March 2010 Los Alamos National Laboratory Waste Technical Services (WTS) replaced the aging systems and infrastructure that were being used to support the plutonium processing facility. The Waste Technical Services (WTS) Waste Compliance and Tracking System (WCATS) Project Team, using the following customer service model, succeeded in its goal to meet all operational and regulatory requirements, making waste processing in the facility more efficient while partnering with the customer.

Dorries, Alison M [Los Alamos National Laboratory; Montoya, Andrew J [Los Alamos National Laboratory; Ashbaugh, Andrew E [Los Alamos National Laboratory

2010-11-10T23:59:59.000Z

339

Poultry Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. poultry industry and ways in which electric-powered processes and technologies can be used in poultry and egg production and processing. The poultry industry, which consists of poultry production for meat as well as egg production and processing, is one of the fastest growing segments of the U.S. food manufacturing industry. It is also an energy-intensive industry. In fact, a 2010 report by the USDA illustrates ...

2011-03-30T23:59:59.000Z

340

Improvements in Quantitative Precipitation Forecasts with the Eta Regional Model at the National Centers for Environmental Prediction: The 48-km Upgrade  

Science Conference Proceedings (OSTI)

Since 9 June 1993, the eta coordinate regional model has been run twice daily at the National Centers for Environmental Prediction (NCEP, previously the National Meteorological Center) as the NCEP's early operational model. Its performance is ...

Fedor Mesinger

1996-11-01T23:59:59.000Z

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


341

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

342

Petroleum Market Model of the National Energy Modeling System. Part 1  

SciTech Connect

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.

NONE

1997-12-18T23:59:59.000Z

343

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives and the conceptual and methodological approach used in the development of the Coal Production Submodule (CPS). It provides a description of the CPS for model analysts and the public. The Coal Market Module provides annual forecasts of prices, production, and consumption of coal.

1997-02-01T23:59:59.000Z

344

A National Resource  

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

National Resource National Resource for Industry Manufacturing DeMonstration facility As the nation's premier research laboratory, Oak Ridge National Laboratory is one of the world's most capable resources for transforming the next generation of scientific discovery into solutions for rebuilding and revitalizing America's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization, and process technology to reduce risk and accelerate the development and deployment of innovative energy-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first Manufacturing Demonstration Facility (MDF), established at ORNL, helps industry adopt new manufacturing technologies to reduce life-cycle energy and

345

A high-resolution integrated model of the National Ignition Campaign cryogenic layered experiments  

Science Conference Proceedings (OSTI)

A detailed simulation-based model of the June 2011 National Ignition Campaign cryogenic DT experiments is presented. The model is based on integrated hohlraum-capsule simulations that utilize the best available models for the hohlraum wall, ablator, and DT equations of state and opacities. The calculated radiation drive was adjusted by changing the input laser power to match the experimentally measured shock speeds, shock merger times, peak implosion velocity, and bangtime. The crossbeam energy transfer model was tuned to match the measured time-dependent symmetry. Mid-mode mix was included by directly modeling the ablator and ice surface perturbations up to mode 60. Simulated experimental values were extracted from the simulation and compared against the experiment. Although by design the model is able to reproduce the 1D in-flight implosion parameters and low-mode asymmetries, it is not able to accurately predict the measured and inferred stagnation properties and levels of mix. In particular, the measured yields were 15%-40% of the calculated yields, and the inferred stagnation pressure is about 3 times lower than simulated.

Jones, O. S.; Cerjan, C. J.; Marinak, M. M.; Milovich, J. L.; Robey, H. F.; Springer, P. T.; Benedetti, L. R.; Bleuel, D. L.; Bond, E. J.; Bradley, D. K.; Callahan, D. A.; Caggiano, J. A.; Celliers, P. M.; Clark, D. S.; Dixit, S. M.; Doppner, T.; Dylla-Spears, R. J.; Dzentitis, E. G.; Farley, D. R.; Glenn, S. M. [Lawrence Livermore National Laboratory, 7000 East Avenue, L-399, Livermore, California 94551 (United States); and others

2012-05-15T23:59:59.000Z

346

Technologies - Industrial Partnerships Office  

Industrial Partnerships Office P.O. Box 808, L-795 Livermore, CA 94551 Phone: (925) 422-6416 Fax: (925) 423-8988 Operated by Lawrence Livermore National Security, LLC ...

347

Comments on the use of computer models for merger analysis in the electricity industry  

E-Print Network (OSTI)

, factors on which information in available in the electricity industry. 1 University of California Energy price. The ability to profitably pursue such a strategy is the primary concern of market power analysis designed to aid in analysis of market power must be able to incorporate strategic firm behavior

California at Berkeley. University of

348

Supercomputing applications to the numerical modeling of industrial and applied mathematics problems  

Science Conference Proceedings (OSTI)

Present and future supercomputers offer many opportunities and advantages to attack complex and demanding industrial and applied mathematical problems, but provide also new challenges. In the Peta-Flops regime, these ... Keywords: Fault-tolerance, Monte Carlo methods, Parallel computing, Scalability, Supercomputers, Supercomputing

Juan A. Acebrn; Renato Spigler

2007-04-01T23:59:59.000Z

349

Sustainability education for minerals industry professionals  

Science Conference Proceedings (OSTI)

Decomposition of methane during oxide reduction using Natural gas DELIVERING A NATIONAL PROCESS DESIGN UNIT WITH INDUSTRY SUPPORT.

350

Research and Technology - Industrial Partnerships Office  

Lawrence Livermore National Laboratory (LLNL) is participating in six industry projects for the advancement of energy technologies using high ...

351

Assessment of methods for creating a national building statistics database for atmospheric dispersion modeling  

SciTech Connect

Mesoscale meteorological codes and transport and dispersion models are increasingly being applied in urban areas. Representing urban terrain characteristics in these models is critical for accurate predictions of air flow, heating and cooling, and airborne contaminant concentrations in cities. A key component of urban terrain characterization is the description of building morphology (e.g., height, plan area, frontal area) and derived properties (e.g., roughness length). Methods to determine building morphological statistics range from manual field surveys to automated processing of digital building databases. In order to improve the quality and consistency of mesoscale meteorological and atmospheric dispersion modeling, a national dataset of building morphological statistics is needed. Currently, due to the expense and logistics of conducting detailed field surveys, building statistics have been derived for only small sections of a few cities. In most other cities, modeling projects rely on building statistics estimated using intuition and best guesses. There has been increasing emphasis in recent years to derive building statistics using digital building data or other data sources as a proxy for those data. Although there is a current expansion in public and private sector development of digital building data, at present there is insufficient data to derive a national building statistics database using automated analysis tools. Too many cities lack digital data on building footprints and heights and many of the cities having such data do so for only small areas. Due to the lack of sufficient digital building data, other datasets are used to estimate building statistics. Land use often serves as means to provide building statistics for a model domain, but the strength and consistency of the relationship between land use and building morphology is largely uncertain. In this paper, we investigate whether building statistics can be correlated to the underlying land use. If a reasonable correlation exists, then a national building statistics database could be created since land use is available for the entire U.S. Digital datasets of building footprint and height information have been obtained, validated and analyzed for eight western U.S. cities covering areas ranging from 6 km{sup 2} to 1653 km{sup 2}. Building morphological statistics (including mean and standard deviation of building height, plan area fraction and density, rooftop area density, frontal area index and density, building-to-plan area ratio, complete aspect ratio, height-to-width ratio, roughness length, displacement height, and sky view factor) have been computed for each city at 250-m resolution and are being correlated to underlying land use type. This paper will summarize the building statistics from the eight cites focusing on the variability within each city and between cities as a function of land use.

Velugubantla, S. P. (Srinivas, P.); Burian, S. J. (Steven J.); Brown, M. J. (Michael J.); McKinnon, A. T. (Andrew T.); McPherson, T. N. (Timothy N.); Han, W. S. (Woo Suk)

2004-01-01T23:59:59.000Z

352

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

353

Technologies - Industrial Partnerships Office  

Jupiter Laser Facility. National Atmospheric Release Advisory Center. Program for Climate Model Diagnosis & Intercomparison. Site 300. Terascale Simulation Facility.

354

The DOE s In-Plant Training (INPLT) Model to Promote Energy Efficiency in the Industrial Sector  

SciTech Connect

In-Plant Training (INPLT) is a new model for developing energy efficiency expertise within the US manufacturing companies participating in the U.S. Department of Energy s (DOE s) Better Buildings, Better Plants Program-a nationwide initiative to drive a 25% reduction in industrial energy intensity in 10 years. INPLTs are designed to fill a market niche by providing hands on training in a real world manufacturing plant environment. Through INPLTs, participants from multiple manufacturing plants, supply chains, utilities, and other external stakeholders learn how to conduct energy assessments, use energy analysis tools to analyze energy saving opportunities, develop energy management systems, and implement energy savings projects. Typical INPLT events are led by DOE-certified Energy Experts and range from 2-4 days. Topics discussed include: identification of cross-cutting or system specific opportunities; introduction to ISO 50001 Energy Management Systems; and energy project implementation and replication. This model is flexible, and can be tailored to suit the needs of specific industries. The INPLTs are a significant departure from the traditional single plant energy assessment model previously employed by DOE. INPLTs shift the focus from the concept of a single-plant s energy profile to a broader focus on training and capacity building among multiple industrial participants. The objective is to enable trainees to identify, quantify, implement and replicate future energy saving projects without continued external assistance. This paper discusses the INPLT model and highlights some of the initial outcomes from the successfully delivered INPLTs and the overall impact in terms of numbers of plants/participants trained, impacted energy footprints, and potential replication of identified opportunities.

Alkadi, Nasr E [ORNL; Nimbalkar, Sachin U [ORNL; De Fontaine, Mr. Andre [United States Department of Energy (DOE), Industrial Technology Program; Schoeneborn, Fred C [ORNL

2013-01-01T23:59:59.000Z

355

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.

356

Standardizing model-based in-vehicle infotainment development in the German automotive industry  

Science Conference Proceedings (OSTI)

Based on the analysis of existing HMI development processes in the automotive domain, a reference process for software engineering has been developed. This process was used to develop a domain data model and a model-based specification language in order ... Keywords: HMI, automotive, domain data model, interaction design, model-based language, specification, user interface design

Steffen Hess; Anne Gross; Andreas Maier; Marius Orfgen; Gerrit Meixner

2012-10-01T23:59:59.000Z

357

Energy Efficiency Improvement and Cost Saving Opportunities for the Vehicle Assembly Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

of Demonstrated Energy Technologies ( CADDET). (1987).second National Industrial Energy Technology Conferencesecond National Industrial Energy Technology Conference

Galitsky, Christina

2008-01-01T23:59:59.000Z

358

Compilation of CFD Models of Various Solid Oxide Electrolyzers Analyzed at the Idaho National Laboratory  

SciTech Connect

Various three dimensional computational fluid dynamics (CFD) models of solid oxide electrolyzers have been created and analyzed at the Idaho National Laboratory since the inception of the Nuclear Hydrogen Initiative in 2004. Three models presented herein include: a 60 cell planar cross flow with inlet and outlet plenums, 10 cell integrated planar cross flow, and internally manifolded five cell planar cross flow. Mass, momentum, energy, and species conservation and transport are provided via the core features of the commercial CFD code FLUENT. A solid-oxide fuel cell (SOFC) module adds the electrochemical reactions and loss mechanisms and computation of the electric field throughout the cell. The FLUENT SOFC user-defined subroutine was modified for this work to allow for operation in the SOEC mode. Model results provide detailed profiles of temperature, Nernst potential, operating potential, activation over-potential, anode-side gas composition, cathode-side gas composition, current density and hydrogen production over a range of stack operating conditions. Predicted mean outlet hydrogen and steam concentrations vary linearly with current density, as expected. Contour plots of local electrolyte temperature, current density, and Nernst potential indicated the effects of heat transfer, endothermic reaction, Ohmic heating, and change in local gas composition. Results are discussed for using these models in the electrolysis mode. Discussion of thermal neutral voltage, enthalpy of reaction, hydrogen production is reported herein. Contour plots and discussion show areas of likely cell degradation, flow distribution in inlet plenum, and flow distribution across and along the flow channels of the current collectors

Grant Hawkes; James O'Brien

2012-06-01T23:59:59.000Z

359

Turning industry visions into reality  

Science Conference Proceedings (OSTI)

This brochure outlines the activities of the Office of Industrial Technologies (OIT) in the Department of Energy. OIT activities are aimed at industry adoption of energy-efficient, pollution-reducing technologies and include research and development on advanced technologies, financing, technical assistance, information dissemination, education, and bringing together industry groups, universities, National Laboratories, states, and environmentalists. OIT`s core initiative is to facilitate partnerships within seven materials and process industries: aluminum, chemicals, forest products, glass, metalcasting, petroleum refining, and steel industries.

NONE

1997-01-01T23:59:59.000Z

360

Innovative Utility Pricing for Industry  

E-Print Network (OSTI)

The electric utility industry represents only one source of power available to industry. Although the monopolistic structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to industry. Electric utilities face increased competition, both from other utilities and from industrial self-generation. The paper discusses competition for industrial customers and innovative pricing trends that have evolved nationally to meet the growing competition for industrial sales. Cogeneration activities and the emerging concepts of wheeling power are also discussed. Specifics of industry evaluation and reaction to utility pricing are presented. Also enumerated are examples of the response various utilities throughout the United States have made to the needs of their industrial customers through innovative rate design. Industry/utility cooperation can result in benefits to industry, to the electric utility and to all other ratepayers. This discussion includes examples of successful cooperation between industry and utilities.

Ross, J. A.

1986-06-01T23:59:59.000Z

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


361

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

Science Conference Proceedings (OSTI)

Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

Sathaye, J.; Xu, T.; Galitsky, C.

2010-08-15T23:59:59.000Z

362

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

non-energy benefits, U.S. steel industry (Worrell et al.improvements in U.S. iron and steel industry (Worrell et al.for the U.S. iron and steel industry in 1994 (Figure 1).

Sathaye, J.

2011-01-01T23:59:59.000Z

363

Modelling and simulation of acid gas condensation in an industrial chimney - article no. A39  

Science Conference Proceedings (OSTI)

Coal power stations as well as waste incinerators produce humid acid gases which may condense in industrial chimneys. These condensates can cause corrosion of chimney internal cladding which is made of stainless steel, nickel base alloys or non metallic materials. In the aim of polluting emission reduction and material optimal choice, it is necessary to determine and characterize all the phenomena which occur throughout the chimney and more especially condensation and dissolution of acid gases (in this particular case, sulfur dioxide SO{sub 2}).

Serris, E.; Cournil, M.M.; Peultier, J. [Ecole des Mines de St Etienne, St Etienne (France)

2009-07-01T23:59:59.000Z

364

NREL: Technology Transfer Home Page - National Renewable Energy ...  

National Renewable Energy Laboratory Technology Transfer The National Renewable Energy Laboratory (NREL) works with industry and organizations to transfer renewable ...

365

Mathematical modeling of Fischer-Tropsch synthesis in an industrial slurry bubble column - article no. A 23  

SciTech Connect

The increase in society's need for fuels and decrease in crude oil resources are important reasons to make more interest for both academic and industry in converting gas to liquids. Fischer-Tropsch synthesis is one of the most attractive methods of Gas-to-Liquids (GTL) processes and the reactor in which, this reaction occurs, is the heart of this process. This work deals with modeling of a commercial size slurry bubble column reactor by two different models, i.e. single bubble class model (SBCM) and double bubble class model (DBCM). The reactor is assumed to work in a churn-turbulent flow regime and the reaction kinetic is a Langmuir-Hinshelwood type. Cobalt-based catalyst is used for this study as it plays an important role in preparing heavy cuts and the higher yield of the liquid products. Parameter sensitivity analysis was carried out for different conditions such as catalyst concentration, superficial gas velocity, H{sub 2} over CO ratio, and column diameter. The results of the SBCM and DBCM revealed that there is no significant difference between single and double bubble class models in terms of temperature, concentration and conversion profiles in the reactor, so the simpler SBCM with less number of model parameters can be a good and reliable model of choice for analyzing the slurry bubble column reactors.

Nasim Hooshyar; Shohreh Fatemi; Mohammad Rahmani [University of Tehran (Iran)

2009-07-01T23:59:59.000Z

366

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

Gasoline and Diesel Fuel Update (EIA)

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

367

Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint  

DOE Green Energy (OSTI)

Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

2013-10-01T23:59:59.000Z

368

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

St. Louis, Missouri. Energy Technology Support Unit (ETSU),de Beer, 1997. "Energy Efficient Technologies in Industry -and MAIN, 1993. Energy Technology in the Cement Industrial

Sathaye, J.

2011-01-01T23:59:59.000Z

369

Dairy Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. dairy industry and ways in which electric-powered processes and technologies can be used in milk production and processing. Because of the different processes involved, the characteristics of energy consumption at milk production and processing facilities vary by facility. Most energy used in milk production is in the form of diesel fuel, followed by electricity and then by petroleum products such as gasoline an...

2011-03-30T23:59:59.000Z

370

Energy Efficiency Improvement and Cost Saving Opportunities for the Pharmaceutical Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

in the Metal Fabrication Industry. 18 th National Industrial40-51. Pharmaceutical Industry Association of Puerto Rico (on Energy Efficiency in Industry. American Council for an

Galitsky, Christina

2008-01-01T23:59:59.000Z

371

AERMOD: A Dispersion Model for Industrial Source Applications. Part I: General Model Formulation and Boundary Layer Characterization  

Science Conference Proceedings (OSTI)

The formulation of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committees applied air dispersion model is described. This is the first of two articles describing ...

Alan J. Cimorelli; Steven G. Perry; Akula Venkatram; Jeffrey C. Weil; Robert?J. Paine; Robert B. Wilson; Russell F. Lee; Warren D. Peters; Roger W. Brode

2005-05-01T23:59:59.000Z

372

AERMOD: A Dispersion Model for Industrial Source Applications. Part II: Model Performance against 17 Field Study Databases  

Science Conference Proceedings (OSTI)

The performance of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committees applied air dispersion model against 17 field study databases is described. AERMOD is a ...

Steven G. Perry; Alan J. Cimorelli; Robert J. Paine; Roger W. Brode; Jeffrey C. Weil; Akula Venkatram; Robert B. Wilson; Russell F. Lee; Warren D. Peters

2005-05-01T23:59:59.000Z

373

DOE Hydrogen Analysis Repository: All Modular Industry Growth Assessment  

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

All Modular Industry Growth Assessment (AMIGA) Model All Modular Industry Growth Assessment (AMIGA) Model Project Summary Full Title: All Modular Industry Growth Assessment (AMIGA) Model Project ID: 139 Principal Investigator: Donald Hanson Purpose A comprehensive economic model of energy markets, primarily used to simulate a wide range of technology and policy issues. Performer Principal Investigator: Donald Hanson Organization: Argonne National Laboratory (ANL) Address: 9700 S. Cass Ave. Argonne, IL 60439 Telephone: 630-252-5061 Email: dhanson@anl.gov Additional Performers: Peter Balash, NETL; John Marano, NETL Sponsor(s) Name: Peter Balash Organization: National Energy Technology Laboratory (NETL) Telephone: 412-386-5753 Email: Peter.Balash@NETL.DOE.GOV Period of Performance Start: January 2001 Project Description

374

Industrial Partnerships | ornl.gov  

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

Carbon Fiber Consortium Manufacturing Industrial Partnerships Staff University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Industrial Partnerships SHARE Industrial Partnerships ORNL takes great pride in its work with U.S. industry. Each year, the Industrial Partnerships team hosts more than 100 visits to ORNL by both large corporations and small companies to help our potential partners understand the capabilities and expertise that exist at the laboratory and the various mechanisms available to help facilitate collaboration. Mechanism for Partnering How do I get started exploring industrial partnerships at ORNL? As the nation's largest science and energy laboratory, it can sometimes be

375

National Utility Financial Statement model (NUFS). Volume II of III: user's guide. Final report  

SciTech Connect

This volume is a User's Guide for the National Utility Financial Statement Model (NUFS). This is the second of three volumes describing NUFS provided by ICF Incorporated under contract DEAC01-79EI10579. The three volumes are entitled: Model Overview and Description; User's Guide; and Software Description. This volume describes each necessary input file, discusses user options, and describes the job stream necessary to run the model.

1981-10-29T23:59:59.000Z

376

Construction Industry Software  

Science Conference Proceedings (OSTI)

... Translates a CIS/2 (CIMsteel Integration Standards) file into a 3D interactive VRML model of a steel structure or an IFC (Industry Foundation Classes ...

2012-04-23T23:59:59.000Z

377

Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis.  

E-Print Network (OSTI)

??Stock price forecasting is a classic problem facing analysts. Forcasting models have been developed for predicting individual stocks and stock indices around the world and (more)

Dravenstott, Ronald W.

2012-01-01T23:59:59.000Z

378

Industrial Energy Efficiency Assessments  

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

Energy Efficiency Energy Efficiency Assessments Lynn Price Staff Scientist China Energy Group Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Industrial Energy Efficiency Assessments - Definition and overview of key components - International experience - Chinese situation and recommendations - US-China collaboration Industrial Energy Efficiency Assessments - Analysis of the use of energy and potential for energy efficiency in an industrial facility * Current situation * Recommendations for improving energy efficiency * Cost-benefit analysis of recommended options * An action plan for realizing potential savings Types of Industrial Energy Efficiency Assessments - Preliminary or walk-through - Detailed or diagnostic Audit criteria

379

Oil and Gas Supply Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Advanced technology impacts ... regulatory or legislatively mandated environmental costs ... as the 1984 Enhanced Oil Recovery Study completed by the National ...

380

Review of the shear-stress transport turbulence model experience from an industrial perspective  

Science Conference Proceedings (OSTI)

The present author was asked to provide an update on the status and the more recent developments around the shear-stress transport (SST) turbulence model for this special issue of the journal. The article is therefore not intended as a comprehensive ... Keywords: SAS, SST turbulence model, engineering flows, laminar-turbulent transition, scale-adaptive simulation, unsteady flows

Florian R. Menter

2009-04-01T23:59:59.000Z

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


381

Roadmap Document for Pacific Northwest National Laboratory Contribution to the Open Modeling Framework  

SciTech Connect

The Cooperative Research Network (CRN) of the National Rural Electric Cooperative Association (NRECA) has identified GridLAB-D as a tool that would provide significant benefit to its member utilities. However, they have also noted that the complexity of the tool would be a significant barrier for adoption. As can often happen in complex simulation environments, as the available capabilities and flexibility increases, the usability of the software decreases except for a few power users; this is not unique to GridLAB-D. While GridLAB-D has expanded to a considerable user base, with a few notable exceptions (e.g., American Electric Power) most users are focused on research and development. As a result, NRECA/CRN has proposed an Open Modeling Framework (OMF) designed to make the capabilities of GridLAB-D, and other advanced grid tools, available via a web interface. This will allow utility users to access many of the capabilities of GridLAB-D, with little to no knowledge of the tool itself. Other components will be layered over the simulation engines to provide the user with business support functions, allowing full business case scenarios to be created from the technical data generated within the simulations. Because of the open availability and potential national benefit of the OMF, PNNL has been tasked with supporting NRECA/CRNs development of the tool, with a focus on incorporating GridLAB-D within the OMF structure and expanding GridLAB-D capabilities to support OMF functions. The GridLAB-D enhancements will be provided first to the OMF developers, but will also be delivered to the wider GridLAB-D community after validation via the community repository. This report is intended to provide a roadmap for the intended enhancements to be delivered by PNNL. Seven tasks were identified in cooperation with NRECA/CRN each is briefly discussed, including potential outcomes and deadlines.

Fuller, Jason C.; Fisher, Andrew R.; Ciraci, Selim; Hammerstrom, Janelle L.; Hauer, Matthew L.; Schneider, Kevin P.

2013-05-30T23:59:59.000Z

382

Industry Perspective  

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

idatech.com idatech.com info@idatech.com 63065 NE 18 th Street Bend, OR 97701 541.383.3390 Industry Perspective Biogas and Fuel Cell Workshop National Renewable Energy Laboratory June 11 - 13, 2012 Mike Hicks Chairman of the Board of Directors, FCHEA Treasurer of the Board of Directors, FCS&E Engineering Manager, Technology Development & Integration, IdaTech Outline 1. Critical Factors * Fuel Purity * Fuel Cost 2. Natural Gas - The Wild Card & Competition 3. IdaTech's Experience Implementing Biofuel Critical Factor - Fuel Purity All fuel cell system OEMs have fuel purity specifications * Independent of * Raw materials or feed stocks * Manufacturing process * Depends on * Fuel processor technology * Fuel cell technology - low temp PEM versus SOFC

383

Improved Formulations for Air-Surface Exchanges Related to National Security Needs: Dry Deposition Models  

Science Conference Proceedings (OSTI)

The Department of Homeland Security and others rely on results from atmospheric dispersion models for threat evaluation, event management, and post-event analyses. The ability to simulate dry deposition rates is a crucial part of our emergency preparedness capabilities. Deposited materials pose potential hazards from radioactive shine, inhalation, and ingestion pathways. A reliable characterization of these potential exposures is critical for management and mitigation of these hazards. A review of the current status of dry deposition formulations used in these atmospheric dispersion models was conducted. The formulations for dry deposition of particulate materials from am event such as a radiological attack involving a Radiological Detonation Device (RDD) is considered. The results of this effort are applicable to current emergency preparedness capabilities such as are deployed in the Interagency Modeling and Atmospheric Assessment Center (IMAAC), other similar national/regional emergency response systems, and standalone emergency response models. The review concludes that dry deposition formulations need to consider the full range of particle sizes including: 1) the accumulation mode range (0.1 to 1 micron diameter) and its minimum in deposition velocity, 2) smaller particles (less than .01 micron diameter) deposited mainly by molecular diffusion, 3) 10 to 50 micron diameter particles deposited mainly by impaction and gravitational settling, and 4) larger particles (greater than 100 micron diameter) deposited mainly by gravitational settling. The effects of the local turbulence intensity, particle characteristics, and surface element properties must also be addressed in the formulations. Specific areas for improvements in the dry deposition formulations are 1) capability of simulating near-field dry deposition patterns, 2) capability of addressing the full range of potential particle properties, 3) incorporation of particle surface retention/rebound processes, and. 4) development of dry deposition formulations applicable to urban areas. Also to improve dry deposition modeling capabilities, atmospheric dispersion models in which the dry deposition formulations are imbedded need better source-term plume initialization and improved in-plume treatment of particle growth processes. Dry deposition formulations used in current models are largely inapplicable to the complex urban environment. An improved capability is urgently needed to provide surface-specific information to assess local exposure hazard levels in both urban and non-urban areas on roads, buildings, crops, rivers, etc. A model improvement plan is developed with a near-term and far-term component. Despite some conceptual limitations, the current formulations for particle deposition based on a resistance approach have proven to provide reasonable dry deposition simulations. For many models with inadequate dry deposition formulations, adding or improving a resistance approach will be the desirable near-term update. Resistance models however are inapplicable aerodynamically very rough surfaces such as urban areas. In the longer term an improved parameterization of dry deposition needs to be developed that will be applicable to all surfaces, and in particular urban surfaces.

Droppo, James G.

2006-07-01T23:59:59.000Z

384

Model-Checking CSP-Z: Strategy, Tool Support and Industrial Application  

E-Print Network (OSTI)

Model-checking is now widely accepted as an ecient method for analysing computer system properties, such as deadlock-freedom. Its practical applicability is due to existing automatic tools which deal with tedious proofs. Another research area of increasing interest is formal language integration where the capabilities of each language are used to capture precisely some aspects of a system. In this paper we propose a general strategy for model-checking CSP-Z specications using as tool support the FDR model-checker. The CSP-Z language is a semantical integration of CSP and Z, such that CSP handles the concurrent aspects of a system, and Z the data structures part. We also present a modular approach for model-checking complex CSP-Z specications, specically to verify deadlock-freedom. Finally, we present a CSP-Z specication for a subset of a real Brazilian articial microssatellite, and apply the proposed strategy to prove that this specication is deadlock-free. Key words: Model-Chec...

Alexandre Mota; Augusto Sampaio

2001-01-01T23:59:59.000Z

385

Memorandum of Understanding between the Department of Energy of the United States of America and the National Development and Reform Commission of the People's Republic of China Concerning Industrial Energy Efficiency Cooperation  

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

THE DEPARTMENT OF ENERGY OF THE UNITED STATES OF AMERICA AND THE NATIONAL DEVELOPMENT AND REFORM COMMISSION OF THE PEOPLE'S REPUBLIC OF CHINA CONCERNING INDUSTRIAL ENERGY EFFICIENCY COOPERATION The Department of Energy of the United States of America (DOE) and the National Development and Reform Commission of the People's Republic of China (NDRC), jointly referred to herein as the "Participants"; RECOGNIZING that the development and use of energy are key elements of the economic growth of the United States and the People's Republic of China (PRC); SHARING common serious energy challenges from increasing energy imports and worsening environmental impacts as energy use rises; SHARING the sense of commitment to enhancing energy security through cooperation;

386

Transportation | Argonne National Laboratory  

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

Transportation Transportation From modeling and simulation programs to advanced electric powertrains, engines, biofuels, lubricants, and batteries, Argonne's transportation research is vital to the development of next-generation vehicles. Revolutionary advances in transportation are critical to reducing our nation's petroleum consumption and the environmental impact of our vehicles. Some of the most exciting new vehicle technologies are being ushered along by research conducted at Argonne National Laboratory. Our Transportation Technology R&D Center (TTRDC) brings together scientists and engineers from many disciplines across the laboratory to work with the U.S. Department of Energy (DOE), automakers and other industrial partners. Our goal is to put new transportation technologies on the road that improve

387

New process modeling [sic], design, and control strategies for energy efficiency, high product quality, and improved productivity in the process industries. Final project report  

SciTech Connect

This project was concerned with the development of process design and control strategies for improving energy efficiency, product quality, and productivity in the process industries. In particular, (i) the resilient design and control of chemical reactors, and (ii) the operation of complex processing systems, was investigated. Specific topics studied included new process modeling procedures, nonlinear controller designs, and control strategies for multiunit integrated processes. Both fundamental and immediately applicable results were obtained. The new design and operation results from this project were incorporated into computer-aided design software and disseminated to industry. The principles and design procedures have found their way into industrial practice.

Ray, W. Harmon

2002-06-05T23:59:59.000Z

388

Source Release Modeling for the Idaho National Engineering and Environmental Laboratory's Subsurface Disposal Area  

SciTech Connect

A source release model was developed to determine the release of contaminants into the shallow subsurface, as part of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) evaluation at the Idaho National Engineering and Environmental Laboratory's (INEEL) Subsurface Disposal Area (SDA). The output of the source release model is used as input to the subsurface transport and biotic uptake models. The model allowed separating the waste into areas that match the actual disposal units. This allows quantitative evaluation of the relative contribution to the total risk and allows evaluation of selective remediation of the disposal units within the SDA.

Becker, Bruce Harley

2002-08-01T23:59:59.000Z

389

Sub-national TIMES model for analyzing regional future use of Biomass and Biofuels in France and  

E-Print Network (OSTI)

1 Sub-national TIMES model for analyzing regional future use of Biomass and Biofuels in France Introduction Renewable energy sources such as biomass and biofuels are increasingly being seen as important of biofuels on the final consumption of energy in transport should be 10%. The long-term target is to reduce

Paris-Sud XI, Université de

390

Researchers at the National Renewable Energy Laboratory (NREL) develop a high-fidelity large-eddy simulation model  

E-Print Network (OSTI)

than current models. As the market for wind energy grows, wind turbines and wind plants are becoming wind plants, reduce the cost of wind energy, and save wind plant developers millions of dollars in lostResearchers at the National Renewable Energy Laboratory (NREL) develop a high-fidelity large

391

EIA - The National Energy Modeling System: An Overview 2003-Carbon Dioxide  

Gasoline and Diesel Fuel Update (EIA)

Carbon Dioxide and Methane Emissions Carbon Dioxide and Methane Emissions The National Energy Modeling System: An Overview 2003 Carbon Dioxide and Methane Emissions The emissions policy submodule, part of the integrating module, estimates the energy–related emissions of carbon dioxide and methane. Carbon dioxide emissions are dependent on the fossil fuel consumed, the carbon content of the fuel, and the fraction of the fuel consumed in combustion. The product of the carbon dioxide coefficient and the combustion fraction yields a carbon dioxide emission factor. For fuel uses of fossil energy, the combustion fractions are assumed to be 0.99 for liquid fuels and 0.995 for gaseous fuels. The carbon dioxide potential of nonfuel uses of energy, such as asphalt and petrochemical feedstocks, is assumed to be sequestered in the product and not released to the atmosphere. The coefficients for carbon dioxide emissions are updated each year from the Energy Information Administration’s annual, Emissions of Greenhouse Gases in the United States.17

392

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

E-Print Network (OSTI)

AEO AL02 Btu CHP DG DOE ECP EERE EIA GPRA GW ITC MBtu MSW Mtand Renewable Energy (EERE) on hundreds of National Energy

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

2002-01-01T23:59:59.000Z

393

Tale of Two Cities: Greensburg Resurrected as a National Model for Green Communities (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet provides a summary of how NREL's technical assistance in Greensburg, Kansas, helped the town rebuild green after recovering from a tornado in May 2007. Greensburg, Kansas, was like any rural community in America until a massive tornado leveled much of the town on May 4, 2007. Key leaders in Greensburg and Kansas made a crucial decision not just to rebuild, but to remake the town as a model sustainable community. To help achieve that goal, technical experts from the U.S. Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) arrived in Greensburg in June 2007. For three years, the experts worked with city leaders, business owners, residents, and other state, federal, and local agencies to identify ways to incorporate energy efficiency and renewable energy technologies into the town's rebuilding efforts. NREL conducted detailed studies to examine energy use; availability of renewable energy resources; energy options; and potential integrated energy solutions that could also be replicated in other communities recovering from disaster or working toward building green. Those recommendations were incorporated into the Greensburg Sustainable Comprehensive Master Plan and furthered the town's vision of becoming an affordable sustainable community. Technical assistance provided by NREL has impacted the following areas in Greensburg's resurrection. Residents also formed a non-profit organization, Greensburg GreenTown{trademark}, to provide resources and support for rebuilding. Through energy modeling, education, training, and onsite assistance, NREL helped renovate and rebuild homes in Greensburg that on average, use 40% less energy than similar buildings built to code - surpassing the goal NREL originally set to achieve 30% energy savings in residential buildings.

Not Available

2011-12-01T23:59:59.000Z

394

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

Cement Industry, An Energy Perspective", U.S. Department ofCost of Conserved Final Energy (US$/GJ) Final CCE includingwithout including non-energy benefits, U.S. steel industry (

Sathaye, J.

2011-01-01T23:59:59.000Z

395

The tobacco industry's use of Wall Street analysts in shaping policy  

E-Print Network (OSTI)

prices would bankrupt industry. Washington Times, 27 AprilSettlement with the Tobacco Industry: National AssociationScience for hire: a tobacco industry strategy to influence

Alamar, B C; Glantz, Stanton A. Ph.D.

2004-01-01T23:59:59.000Z

396

2008-2010 Research Summary: Analysis of Demand Response Opportunities in California Industry  

E-Print Network (OSTI)

the California Cement Industry. Lawrence Berkeley NationalOpportunities in California Industry Sasank Goli, Danieland DR opportunities. The cement industry and agricultural

Goli, Sasank

2013-01-01T23:59:59.000Z

397

Department of Energy Launches Initiative with Industry to Better...  

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

Launches Initiative with Industry to Better Protect the Nation's Electric Grid from Cyber Threats Department of Energy Launches Initiative with Industry to Better Protect the...

398

Financing the growth of energy efficiency service industry in Shanghai  

E-Print Network (OSTI)

present experiences of energy service industrial developmentNational Association of Energy Service Companies (NAESCO),2004, Developing an Energy Efficiency Service Industry in

Lin, Jiang; Gilligan, Donald; Zhao, Yinghua

2005-01-01T23:59:59.000Z

399

NREL: Technology Transfer - 21st Industry Growth Forum ...  

National Renewable Energy Laboratory Technology Transfer 21 st Industry Growth Forum Presentations. Here you'll find presentations from NREL's 21 st Industry Growth ...

400

NREL: Technology Transfer - 21st Industry Growth Forum Photos  

National Renewable Energy Laboratory Technology Transfer 21 st Industry Growth Forum Photos. From NREL's 21st Industry Growth Forum on Oct. 28-30, 2008, in Denver ...

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


401

Chapter 6: Simulation of ... absorbers: the behaviour of methanol and non-equilibrium stage modeling. Simulation of industrial formaldehyde absorbers  

E-Print Network (OSTI)

jobshavebeenwrittenonourVB6UHR EWF lithography tool during the past year. Working with industry Working through the James

Groningen, Rijksuniversiteit

402

Lawrence Livermore National Laboratory: Contact Us  

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

and Environmental Sciences Education Program Energy Engineering Industrial Partnerships, Tech Transfer Internships Jobs Lasers National Ignition Facility Nonproliferation,...

403

China's Industrial Energy  

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

China's Industrial Energy China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy- Saving Program and the Ten Key Energy-Saving Projects Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Khanna, Nan Zhou, Mark Levine China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Reprint version of journal article published in "Energy Policy", Volume 50, Pages 562-569, November 2012 October 2012 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY

404

Estimates of emergency operating capacity in U.S. manufacturing industries: 1994--2005  

SciTech Connect

To develop integrated policies for mobilization preparedness, planners require estimates and projections of available productive capacity during national emergency conditions. This report develops projections of national emergency operating capacity (EOC) for 458 US manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level. These measures are intended for use in planning models that are designed to predict the demands for detailed industry sectors that would occur under conditions such as a military mobilization or a major national disaster. This report is part of an ongoing series of studies prepared by the Pacific Northwest National Laboratory to support mobilization planning studies of the Federal Emergency Planning Agency/US Department of Defense (FEMA/DOD). Earlier sets of EOC estimates were developed in 1985 and 1991. This study presents estimates of EOC through 2005. As in the 1991 study, projections of capacity were based upon extrapolations of equipment capital stocks. The methodology uses time series regression models based on industry data to obtain a response function of industry capital stock to levels of industrial output. The distributed lag coefficients of these response function are then used with projected outputs to extrapolate the 1994 level of EOC. Projections of industrial outputs were taken from the intermediate-term forecast of the US economy prepared by INFORUM (Interindustry Forecasting Model, University of Maryland) in the spring of 1996.

Belzer, D.B.

1997-02-01T23:59:59.000Z

405

Second-Use Li-Ion Batteries to Aid Automotive and Utility Industries (Fact Sheet), NREL Highlights in Research & Development, NREL (National Renewable Energy Laboratory)  

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

Repurposing lithium-ion batteries at the end of useful life Repurposing lithium-ion batteries at the end of useful life in electric drive vehicles could eliminate owners' disposal concerns and offer low-cost energy storage for certain applications. Increasing the number of plug-in electric drive vehicles (PEVs) is one major strategy for reduc- ing the nation's oil imports and greenhouse gas emissions. However, the high up-front cost and end-of-service disposal concerns of their lithium-ion (Li-ion) batteries could impede the proliferation of such vehicles. Re-using Li-ion batteries after their useful automotive life has been proposed as a way to remedy both matters. In response, the National Renewable Energy Laboratory (NREL) and its partners are conducting research to identify, assess, and verify profitable

406

Texas Tech Honored for Commitment to Texas Tech honored by Minority Access Inc. during its ninth National Role Models Conference in  

E-Print Network (OSTI)

Texas Tech Honored for Commitment to Diversity Texas Tech honored by Minority Access Inc. during its ninth National Role Models Conference in Arlington, Va. Written by Sally Logue Post Texas Tech Inc. organization during its ninth National Role Models Conference in Arlington, Va. "Texas Tech

Rock, Chris

407

Review of Literature for Inputs to the National Water Savings Model and Spreadsheet Tool-Commercial/Institutional  

SciTech Connect

Lawrence Berkeley National Laboratory (LBNL) is developing a computer model and spreadsheet tool for the United States Environmental Protection Agency (EPA) to help estimate the water savings attributable to their WaterSense program. WaterSense has developed a labeling program for three types of plumbing fixtures commonly used in commercial and institutional settings: flushometer valve toilets, urinals, and pre-rinse spray valves. This National Water Savings-Commercial/Institutional (NWS-CI) model is patterned after the National Water Savings-Residential model, which was completed in 2008. Calculating the quantity of water and money saved through the WaterSense labeling program requires three primary inputs: (1) the quantity of a given product in use; (2) the frequency with which units of the product are replaced or are installed in new construction; and (3) the number of times or the duration the product is used in various settings. To obtain the information required for developing the NWS-CI model, LBNL reviewed various resources pertaining to the three WaterSense-labeled commercial/institutional products. The data gathered ranged from the number of commercial buildings in the United States to numbers of employees in various sectors of the economy and plumbing codes for commercial buildings. This document summarizes information obtained about the three products' attributes, quantities, and use in commercial and institutional settings that is needed to estimate how much water EPA's WaterSense program saves.

Whitehead, Camilla Dunham; Melody, Moya; Lutz, James

2009-05-29T23:59:59.000Z

408

National Ignition Facility computational fluid dynamics modeling and light fixture case studies  

SciTech Connect

This report serves as a guide to the use of computational fluid dynamics (CFD) as a design tool for the National Ignition Facility (NIF) program Title I and Title II design phases at Lawrence Livermore National Laboratory. In particular, this report provides general guidelines on the technical approach to performing and interpreting any and all CFD calculations. In addition, a complete CFD analysis is presented to illustrate these guidelines on a NIF-related thermal problem.

Martin, R.; Bernardin, J.; Parietti, L.; Dennison, B.

1998-02-01T23:59:59.000Z

409

Photocatalytic degradation of oil industry hydrocarbons models at laboratory and at pilot-plant scale  

Science Conference Proceedings (OSTI)

Photodegradation/mineralization (TiO{sub 2}/UV Light) of the hydrocarbons: p-nitrophenol (PNP), naphthalene (NP) and dibenzothiophene (DBT) at three different reactors: batch bench reactor (BBR), tubular bench reactor (TBR) and tubular pilot-plant (TPP) were kinetically monitored at pH = 3, 6 and 10, and the results compared using normalized UV light exposition times. The results fit the Langmuir-Hinshelwood (LH) model; therefore, LH adsorption equilibrium constants (K) and apparent rate constants (k) are reported as well as the apparent pseudo-first-order rate constants, k{sub obs}{sup '} = kK/(1 + Kc{sub r}). The batch bench reactor is the most selective reactor toward compound and pH changes in which the reactivity order is: NP > DBT > PNP, however, the catalyst adsorption (K) order is: DBT > NP > PNP at the three pH used but NP has the highest k values. The tubular pilot-plant (TPP) is the most efficient of the three reactors tested. Compound and pH photodegradation/mineralization selectivity is partially lost at the pilot plant where DBT and NP reaches ca. 90% mineralization at the pH used, meanwhile, PNP reaches only 40%. The real time, in which these mineralization occur are: 180 min for PNP and 60 min for NP and DBT. The mineralization results at the TPP indicate that for the three compounds, the rate limiting step is the same as the degradation one. So that, there is not any stable intermediate that may accumulate during the photocatalytic treatment. (author)

Vargas, Ronald; Nunez, Oswaldo [Laboratorio de Fisicoquimica Organica y Quimica Ambiental, Departamento de Procesos y Sistemas, Universidad Simon Bolivar, Apartado Postal 89000, Caracas (Venezuela)

2010-02-15T23:59:59.000Z

410

General overview of the Nigerian construction industry  

E-Print Network (OSTI)

The purpose of this study is to investigate and provide a general overview of the Nigerian construction industry, its role in the national economy, the main participants in the industry, the problems that they face, and ...

Dantata, Sanusi (Sanusi A.)

2008-01-01T23:59:59.000Z

411

NREL Develops Heat Pump Water Heater Simulation Model (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)  

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

simulation model helps researchers evaluate real-world simulation model helps researchers evaluate real-world impacts of heat pump water heaters in U.S. homes. Heat pump water heaters (HPWHs) remove heat from the air and use it to heat water, presenting an energy-saving opportunity for homeowners. Researchers at the National Renewable Energy Laboratory (NREL) developed a simulation model to study the inter- actions of HPWHs and space conditioning equipment, related to climate and installa- tion location in the home. This model was created in TRNSYS and is based on data from HPWHs tested at NREL's Advanced HVAC Systems Laboratory. The HPWH model accounts for the condenser coil wrapped around the outside of the storage tank, and uses a data-based performance map. Researchers found that simulated energy use was within 2% of lab results, which confirms

412

Financial constraints in capacity planning: a national utility regulatory model (NUREG). Volume III of III: software description. Final report  

Science Conference Proceedings (OSTI)

This volume is the software description for the National Utility Regulatory Model (NUREG). This is the third of three volumes provided by ICF under contract number DEAC-01-79EI-10579. These three volumes are: a manual describing the NUREG methodology; a users guide; and a description of the software. This manual describes the software which has been developed for NUREG. This includes a listing of the source modules. All computer code has been written in FORTRAN.

None

1981-10-29T23:59:59.000Z

413

Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector  

E-Print Network (OSTI)

Tracking Industrial Energy Efficiency and CO2 Emissions.and L. Price. 1999. Energy Efficiency and Carbon DioxideGalitsky. 2004. Energy Efficiency Improvement Opportunities

Sathaye, J.

2011-01-01T23:59:59.000Z

414

Final Progress Report for the NASA Inductrack Model Rocket Launcher at the Lawrence Livermore National Laboratory  

DOE Green Energy (OSTI)

The Inductrack magnetic levitation system, developed at the Lawrence Livermore National Laboratory, was studied for its possible use for launching rockets. Under NASA sponsorship, a small model system was constructed at the Laboratory to pursue key technical aspects of this proposed application. The Inductrack is a passive magnetic levitation system employing special arrays of high-field permanent magnets (Halbach arrays) on the levitating cradle, moving above a ''track'' consisting of a close-packed array of shorted coils with which are interleaved with special drive coils. Halbach arrays produce a strong spatially periodic magnetic field on the front surface of the arrays, while canceling the field on their back surface. Relative motion between the Halbach arrays and the track coils induces currents in those coils. These currents levitate the cradle by interacting with the horizontal component of the magnetic field. Pulsed currents in the drive coils, synchronized with the motion of the carrier, interact with the vertical component of the magnetic field to provide acceleration forces. Motional stability, including resistance to both vertical and lateral aerodynamic forces, is provided by having Halbach arrays that interact with both the upper and the lower sides of the track coils. At present, a 7.8 meter track composed of drive and levitation coils has been built and the electronic drive circuitry performs as designed. A 9 kg cradle that carries the Halbach array of permanent magnets has been built. A mechanical launcher is nearly complete which will provide an initial cradle velocity of 9 m/s into the electronic drive section. We have found that the drag forces from the levitation coils were higher than in our original design. However, measurements of drag force at velocities less than 1 m/s are exactly as predicted by theory. Provided here are recommended design changes to improve the track's performance so that a final velocity of 40 m/s can be achieved with the existing track. This project was designed and built as part of a Phase II contract that started in Feb. 1999 and ended in Sep. 2000 at a cost of $600K. A detailed budget on how this funding was spent is also included here.

Tung, L S; Post, R F; Martinez-Frias, J

2001-06-27T23:59:59.000Z

415

Making Industry Part of the Climate Solution  

Science Conference Proceedings (OSTI)

Improving the energy efficiency of industry is essential for maintaining the viability of domestic manufacturing, especially in a world economy where production is shifting to low-cost, less regulated developing countries. Numerous studies have shown the potential for significant cost-effective energy-savings in U.S. industries, but the realization of this potential is hindered by regulatory, information, workforce, and financial obstacles. This report evaluates seven federal policy options aimed at improving the energy efficiency of industry, grounded in an understanding of industrial decision-making and the barriers to efficiency improvements. Detailed analysis employs the Georgia Institute of Technology's version of the National Energy Modeling System and spreadsheet calculations, generating a series of benefit/cost metrics spanning private and public costs and energy bill savings, as well as air pollution benefits and the social cost of carbon. Two of the policies would address regulatory hurdles (Output-Based Emissions Standards and a federal Energy Portfolio Standard with Combined Heat and Power); three would help to fill information gaps and workforce training needs (the Superior Energy Performance program, Implementation Support Services, and a Small Firm Energy Management program); and two would tackle financial barriers (Tax Lien Financing and Energy-Efficient Industrial Motor Rebates). The social benefit-cost ratios of these policies appear to be highly favorable based on a range of plausible assumptions. Each of the seven policy options has an appropriate federal role, broad applicability across industries, utilizes readily available technologies, and all are administratively feasible.

Lapsa, Melissa Voss [ORNL; Brown, Dr. Marilyn Ann [Georgia Institute of Technology; Jackson, Roderick K [ORNL; Cox, Matthew [Georgia Institute of Technology; Cortes, Rodrigo [Georgia Institute of Technology; Deitchman, Benjamin H [ORNL

2011-06-01T23:59:59.000Z

416

The following are appendices A, B1 and B2 of our paper, "Integrated Process Modeling and Product Design of Biodiesel Manufacturing", that appears in the Industrial and  

E-Print Network (OSTI)

Design of Biodiesel Manufacturing", that appears in the Industrial and Engineering Chemistry Research a Biodiesel Process Model To access NIST TDE Data Engine in Aspen Plus version 2006.5 or V7.0 Step 1. Enter of a specific property, eq. Liquid Density #12;4 Appendix B Prediction Methods and NIST TDE Equations

Liu, Y. A.

417

Air pollutant emissions prediction by process modelling - Application in the iron and steel industry in the case of a re-heating furnace  

Science Conference Proceedings (OSTI)

Monitoring air pollutant emissions of large industrial installations is necessary to ensure compliance with environmental legislation. Most of the available measurement techniques are expensive, and measurement conditions such as high-temperature emissions, ... Keywords: Artificial neural networks, CO2, Correlation method, Fume emissions, Multiple linear regression, NO2, Steelworks process modelling

Anda Ionescu; Yves Candau

2007-09-01T23:59:59.000Z

418

Ohio State's industry research partnerships  

E-Print Network (OSTI)

, in such critical projects as conversion of biomass to alternative energy and the creation of nanomaterials across the nation by enhancing industry productivity, generating jobs, and increasing revenues. 9 1 92 4

419

Development of Fast-Time Simulation Techniques to Model Safety Issues in the National Airspace System  

E-Print Network (OSTI)

Development of an agent-based simulation model of airDevelopment of an agent-based simulation model of airDevelopment of an agent-based simulation model of air

2002-01-01T23:59:59.000Z

420

Environmental and institutional models of system development: a national criminal history system  

Science Conference Proceedings (OSTI)

This article tests two competing theories of system development referred to here as environmental and institutional models. These models form the basis for most explanations of why systems are developed and utilized. We will examine both models in detail ...

Kenneth C. Laudon

1985-07-01T23:59:59.000Z

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


421

Industrial Espionage Today and Information Wars of ...  

Science Conference Proceedings (OSTI)

... Counter intelligence in industrial espionage by the United States on a national ... Eventually, the combined efforts of IBM counterintelligence and FBI ...

1996-10-28T23:59:59.000Z

422

Wind Turbine Design Innovations Drive Industry Transformation...  

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

Wind Turbine Design Innovations Drive Industry Transformation For more than 20 years, the National Renewable Energy Laboratory (NREL) has helped GE and its predecessors achieve...

423

Gauging the Needs of the Petroleum Industry  

Science Conference Proceedings (OSTI)

... Petroleum Institute (API) a national trade association that represents all segments of America's technology-driven oil and natural gas industry 2 ...

2013-02-08T23:59:59.000Z

424

Laboratory Coordinating Council: Partnerships with Industry (Revised)  

Science Conference Proceedings (OSTI)

The Laboratory Coordinating Council, working through OIT, coordinates partnerships between industry, academia, and the 16 U.S. national laboratories and facilities.

Wogsland, J.

2001-01-25T23:59:59.000Z

425

NETL: Industrial Capture & Storage  

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

Industrial Capture & Storage Industrial Capture & Storage Technologies Industrial Capture & Storage The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

426

Texas Industries of the Future  

E-Print Network (OSTI)

The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs, resulting in improved competitive performance. The bottom line for Texas industry is savings in energy and materials, cost-effective environmental compliance, increased productivity, reduced waste, and enhanced product quality. The state program leverages the programs and tools of the federal Department of Energy's Industries of the Future. At the federal level, there are nine Industries of the Future: refining, chemicals, aluminum, steel, metal casting, glass, mining, agriculture, and forest products. These industries were selected nationally because they supply over 90% of the U.S. economy's material needs and account for 75% of all energy use by U.S. industry. In Texas, three IOF sectors, chemicals, refining and forest products, account for 86% of the energy used by industry in this state.

Ferland, K.

2002-04-01T23:59:59.000Z

427

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

428

Industrial Applications  

Science Conference Proceedings (OSTI)

Table 2   Frequently used rubber linings in other industries...Application Lining Power industry Scrubber towers Blended chlorobutyl Limestone slurry tanks Blended chlorobutyl Slurry piping Blended chlorobutyl 60 Shore A hardness natural rubber Seawater cooling water

429

User Facilities for Industry 101  

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

Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Organizers:+Andreas+Roelofs+(CNM),+Jyotsana+Lal+(APS),+Katie+Carrado+Gregar+(CNM),+and+Susan+Strasser+ (APS)! ! In! order! to! increase! awareness! of! the! industrial! community! to! Argonne! National! Laboratory! user! facilities,!the!Advanced!Photon!Source!(APS),!the!Center!for!Nanoscale!Materials!(CNM)!and!the!Electron! Microscopy!Center!(EMC)!welcomed!industrial!scientists,!engineers!and!related!professionals!to!a!oneC day! workshop! to! learn! more! about! Argonne's! National! Laboratory! and! the! capabilities/techniques! available! for! their! use.! The! workshop! showcased! several! successful! industrial! user! experiments,! and! explained! the! different! ways! in! which! industrial! scientists! can! work! at! Argonne! or! with! Argonne!

430

Industries Affected  

Science Conference Proceedings (OSTI)

Table 2   Industries affected by microbiologically influenced corrosion...generation: nuclear, hydro, fossil fuel,

431

A supply chain paradigm to model business pprocesses at the Y-12 National Security Complex  

Science Conference Proceedings (OSTI)

The NNSA's Y-12 National Security Complex is a manufacturing facility operated by BWXT Y-12. Y-12's missions include ensuring the US' nuclear weapons deterrent, storing nuclear materials, and fueling US naval reactors. In order to understand the impacts ...

Reid Kress; Jack Dixon; Tom Insalaco; Richard Rinehart

2007-12-01T23:59:59.000Z

432

California Industrial Energy Efficiency Potential  

SciTech Connect

This paper presents an overview of the modeling approach andhighlights key findings of a California industrial energy efficiencypotential study. In addition to providing estimates of technical andeconomic potential, the study examines achievable program potential undervarious program-funding scenarios. The focus is on electricity andnatural gas savings for manufacturing in the service territories ofCalifornia's investor-owned utilities (IOUs). The assessment is conductedby industry type and by end use. Both crosscutting technologies andindustry-specific process measures are examined. Measure penetration intothe marketplace is modeled as a function of customer awareness, measurecost effectiveness, and perceived market barriers. Data for the studycomes from a variety of sources, including: utility billing records, theEnergy Information Association (EIA) Manufacturing Energy ConsumptionSurvey (MECS), state-sponsored avoided cost studies, energy efficiencyprogram filings, and technology savings and cost data developed throughLawrence Berkeley National Laboratory (LBNL). The study identifies 1,706GWh and 47 Mth (million therms) per year of achievable potential over thenext twelve years under recent levels of program expenditures, accountingfor 5.2 percent of industrial electricity consumption and 1.3 percent ofindustrial natural gas consumption. These estimates grow to 2,748 GWh and192 Mth per year if all cost-effective and achievable opportunities arepursued. Key industrial electricity end uses, in terms of energy savingspotential, include compressed air and pumping systems that combine toaccount for about half of the total achievable potential estimates. Fornatural gas, savings are concentrated in the boiler and process heatingend uses, accounting for over 99 percent to total achievablepotential.

Coito, Fred; Worrell, Ernst; Price, Lynn; Masanet, Eric; RafaelFriedmann; Rufo, Mike

2005-06-01T23:59:59.000Z

433

Industry | OpenEI  

Open Energy Info (EERE)

Industry Industry Dataset Summary Description The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and non-conventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 on, is available at UNdata. This dataset relates to the consumption of alcohol by other industries and construction. Data is only available for Paraguay and the U.S., years 2000 to 2007. Source United Nations (UN) Date Released December 09th, 2009 (5 years ago) Date Updated Unknown Keywords Agriculture Alcohol consumption Industry UN Data application/zip icon XML (zip, 514 bytes) application/zip icon XLS (zip, 425 bytes) Quality Metrics

434

Electric Utility Industry Update  

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

Electric Utility Industry Update Electric Utility Industry Update Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG Spring 2012 April 12, 2012 Edison Electric Institute  Investor-Owned Electric Companies  Membership includes  200 US companies,  More than 65 international affiliates and  170 associates  US members  Serve more than 95% of the ultimate customers in the investor-owned segment of the industry and  Nearly 70% of all electric utility ultimate customers, and  Our mission focuses on advocating public policy; expanding market opportunities; and providing strategic business information Agenda Significant Industry Trends Utility Infrastructure Investments Generation and Fuel Landscape

435

NETL: First National Conference on Carbon Sequestration  

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

First National Conference on Carbon Sequestration First National Conference on Carbon Sequestration Table of Contents Disclaimer Papers and Presentations Plenary Session Industry Focus Panel Discussion Session 1A. Geologic Sequestration I - Overview Session 1B. Capture & Separation I - Industrial Efforts Session 1C. Modeling I - Case Studies & Deployment Session 2A. Geologic Sequestration II - EOR/EGR Session 2B. Capture & Separation II - Improved Processes Session 2C. Modeling II - Economics Poster Presentations International Panel Discussion Session 3A. Geologic Sequestration III - Enhanced Coalbed Methane Session 3B. Capture & Separation III - Adsorption Studies Session 3C. Terrestrial Sequestration I - Ecosystem Behavior Session 4A. Geologic Sequestration IV - Saline Aquifers Session 4B. Capture & Separation IV - Power Systems Concepts

436

A Critical Analysis of Technological Innovation and Economic Development in Southern California's Urban Water Reuse And Recycling Industry  

E-Print Network (OSTI)

of the Biotechnology Industry." Proceedings of the NationalAustralias Dynamic Water Industry: Fostering Excellence inEngineering Services Global Industry Report. Imagine H20,

Pilip-Florea, Shadrach Jay

2012-01-01T23:59:59.000Z

437

Development of Fast-Time Simulation Techniques to Model Safety Issues in the National Airspace System  

E-Print Network (OSTI)

Fundamental design limitations in MIDAS limit the scalability and practicality of MIDAS as a tool to model human performanceFundamental design limitations in MIDAS limit the scalability and practicality of MIDAS as a tool to model human performance

2002-01-01T23:59:59.000Z

438

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

SciTech Connect

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

Not Available

1995-01-03T23:59:59.000Z

439

Modelling domestic energy consumption at district scale: A tool to support national and local energy policies  

Science Conference Proceedings (OSTI)

This paper presents the development, evaluation and application of the Domestic Energy and Carbon Model (DECM) for predicting the energy consumptions and carbon dioxide emissions of the existing English housing stock. A novel feature of DECM is the adoption ... Keywords: Domestic energy model, Dwelling carbon emission, Housing stock model, Local energy policy

Vicky Cheng; Koen Steemers

2011-10-01T23:59:59.000Z

440

Industrial process surveillance system  

DOE Patents (OSTI)

A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W. (Glendale Heights, IL); Singer, Ralph M. (Naperville, IL); Mott, Jack E. (Idaho Falls, ID)

1998-01-01T23:59:59.000Z

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


441

Industrial Process Surveillance System  

DOE Patents (OSTI)

A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W (Glendale Heights, IL); Singer, Ralph M. (Naperville, IL); Mott, Jack E. (Idaho Falls, ID)

2001-01-30T23:59:59.000Z

442

Industrial process surveillance system  

DOE Patents (OSTI)

A system and method are disclosed for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy. 96 figs.

Gross, K.C.; Wegerich, S.W.; Singer, R.M.; Mott, J.E.

1998-06-09T23:59:59.000Z

443

NSLS Industrial User Program  

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

Jun Wang Physicist, Industrial Program Coordinator Phone: 344-2661 Email: junwang@bnl.gov Jun Wang is an Industrial Program Coordinator in the Photon Science Directorate at Brookhaven National Laboratory. She is working closely with industrial researchers as well as beamline staff to identify and explore new opportunities in industrial applications using synchrotron radiation. She has been leading the industrial research program including consultation, collaboration and outreach to the industrial user groups. Before joining BNL in 2008, Jun Wang was a Lead Scientist for a high-resolution high throughput powder diffraction program at the Advanced Photon Source (APS). As a Physicist at BNL, her research focuses on materials structure determination and evolution. Her expertise covers wide range x-ray techniques such as thin film x-ray diffraction and reflectivity, powder diffraction, small angle x-ray scattering, protein solution scattering and protein crystallography, as well as x-ray imaging. Currently she is the project leader of a multi-million dollar project on transmission x-ray microscopy recently funded by the U.S. DOE and the spokesperson for this new imaging beamline at the NSLS. She has also been collaborating with universities and industries for several projects on energy research at the NSLS.

444

Detection of Warming Effects Due to Industrialization: An Accumulated Intervention Model with an Application in Pohang, Korea  

Science Conference Proceedings (OSTI)

Modifications of surface air temperature caused by anthropogenic impacts have received much attention recently because of the heightened interest in climatic change. When an industrial area is constructed, resulting in a large-scale anthropogenic ...

S. B. Ryoo; S. E. Moon

1995-06-01T23:59:59.000Z

445

Industry Sponsored Research | Partnerships | ORNL  

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

Partnering Mechanism Sample Sponsored Research Agreement SBIR-STTR Support Economic Development Industrial Partnerships University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Sponsored Research SHARE Sponsored Research Fiber Optic Research The Oak Ridge National Laboratory is a United States Department of Energy national laboratory, operated under contract by UT-Battelle, LLC. The laboratory's 1500+ research scientists and engineers conduct a vigorous program of scientific discovery and technology development, and ORNL is eager to engage industry in partnerships to help translate its research output into market impact and support for U.S. competitiveness. Companies wishing to learn about the research being

446

Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector  

E-Print Network (OSTI)

1982. Energy and the Steel Industry, Brussels, Belgium:in the Canadian Steel Industry, Ottawa, Canada: CANMET.in the Iron and Steel Industry, in: Proceedings 1997 ACEEE

Xu, T.T.

2011-01-01T23:59:59.000Z

447

NETL: Industrial Capture & Storage  

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

1 1 Technologies Industrial Capture & Storage Area 1 Large-Scale Industrial CCS Program The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

448

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

SciTech Connect

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

Belzer, D.B.

1992-12-01T23:59:59.000Z

449

Simple Modifications to Improve Fifth-Generation Pennsylvania State UniversityNational Center for Atmospheric Research Mesoscale Model Performance for the Phoenix, Arizona, Metropolitan Area  

Science Conference Proceedings (OSTI)

The diurnal temperature cycle in the Phoenix, Arizona, metropolitan area, as represented in the fifth-generation Pennsylvania State UniversityNational Center for Atmospheric Research Mesoscale Model (MM5), is examined using a high-resolution 2-...

Joseph A. Zehnder

2002-09-01T23:59:59.000Z

450

National Agenda for Hydrogen Codes and Standards  

SciTech Connect

This paper provides an overview of hydrogen codes and standards with an emphasis on the national effort supported and managed by the U.S. Department of Energy (DOE). With the help and cooperation of standards and model code development organizations, industry, and other interested parties, DOE has established a coordinated national agenda for hydrogen and fuel cell codes and standards. With the adoption of the Research, Development, and Demonstration Roadmap and with its implementation through the Codes and Standards Technical Team, DOE helps strengthen the scientific basis for requirements incorporated in codes and standards that, in turn, will facilitate international market receptivity for hydrogen and fuel cell technologies.

Blake, C.

2010-05-01T23:59:59.000Z

451

Financial constraints in capacity planning: a national utility regulatory model (NUREG). Volume I of III: methodology. Final report  

SciTech Connect

This report develops and demonstrates the methodology for the National Utility Regulatory (NUREG) Model developed under contract number DEAC-01-79EI-10579. It is accompanied by two supporting volumes. Volume II is a user's guide for operation of the NUREG software. This includes description of the flow of software and data, as well as the formats of all user data files. Finally, Volume III is a software description guide. It briefly describes, and gives a listing of, each program used in NUREG.

Not Available

1981-10-29T23:59:59.000Z

452

Industry @ ALS  

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

Industry @ ALS Industry @ ALS Industry @ ALS Concrete Industry Benefits from Ancient Romans and the ALS Print Thursday, 17 October 2013 14:24 New insights into the Romans' ingenious concrete harbor structures emerging from ALS beamline research could move the modern concrete industry toward its goal of a reduced carbon footprint. Summary Slide Read more... Moving Industry Forward: Finding the Environmental Opportunity in Biochar Print Thursday, 12 September 2013 08:41 Using ALS Beamlines 10.3.2 and 8.3.2, the Environmental Protection Agency (EPA) is currently investigating how biochar sorbs environmental toxins and which kinds of biochar are the most effective. The possibilities for widespread use have already launched entrepreneurial commercial ventures. Summary Slide

453

Comparing simulations of three conceptually different forest models with National Forest Inventory data  

Science Conference Proceedings (OSTI)

Although they were originally introduced for different purposes, forest models are often used today for scenario development, which includes forest production as one aspect of forest development. However, studies using an independent data set to compare ... Keywords: Climate change, Ecosystem model, Forest growth, Increment, Sensitivity, Simulator

Markus O. Huber; Chris S. Eastaugh; Thomas Gschwantner; Hubert Hasenauer; Georg Kindermann; Thomas Ledermann; Manfred J. Lexer; Werner Rammer; Stefan SchRghuber; Hubert Sterba

2013-02-01T23:59:59.000Z

454

Aluminum: Industry of the future  

SciTech Connect

For over a century, the US aluminum industry has led the global market with advances in technology, product development, and marketing. Industry leaders recognize both the opportunities and challenges they face as they head into the 21st century, and that cooperative R and D is key to their success. In a unique partnership, aluminum industry leaders have teamed with the US Department of Energy`s Office of Industrial Technologies (OIT) to focus on innovative technologies that will help to strengthen the competitive position of the US aluminum industry and, at the same time, further important national goals. This industry-led partnership, the Aluminum Industry of the Future, promotes technologies that optimize the use of energy and materials in operations and reduce wastes and energy-related emissions. Led by The Aluminum Association, industry leaders began by developing a unified vision of future market, business, energy, and environmental goals. Their vision document, Partnerships for the Future, articulates a compelling vision for the next 20 years: to maintain and grow the aluminum industry through the manufacture and sale of competitively priced, socially desirable, and ecologically sustainable products. Continued global leadership in materials markets will require the combined resources of industry, universities, and government laboratories. By developing a unified vision, the aluminum industry has provided a framework for the next step in the Industries of the Future process, the development of a technology roadmap designed to facilitate cooperative R and D.

1998-11-01T23:59:59.000Z

455

Site-specific solar resource measurements for industrial solar applications  

DOE Green Energy (OSTI)

The solar industry can borrow solar radiation measuring equipment from the National Renewable Energy Laboratory (NREL) as part of NREL`s Solar Industrial Program. This program provides assistance to qualified parties in quantifying the solar radiation resource at prospective sites to reduce the risks of deploying industrial solar energy systems. Up-to-date solar radiation measurements permit comparisons of fresh data with existing data to verify established data bases and also provide data based on actual measurements instead of on less accurate models. This report outlines the responsibilities and obligations of NREL and the solar industry participant. It also describes the equipment for measuring solar radiation, the data quality assessment procedures, and the format of the data provided.

Marion, W.

1994-06-01T23:59:59.000Z

456

Subsurface Pathway Flow and Transport Modeling for the Idaho National Engineering and Environmental Laboratory's Subsurface Disposal Area  

SciTech Connect

Migration of contaminants through the complex subsurface at the Idaho National Engineering and Environmental Laboratory's Subsurface Disposal Area was simulated for an ongoing Comprehensive Environmental Response, Compensation, and Liability (CERCLA) assessment. A previously existing model for simulating flow and transport through the vadose zone for this site was updated to incorporate information obtained from recent characterization activities. Given the complexity of the subsurface at this site, the simulation results were acknowledged to be uncertain. Rather than attempt parametric approaches to quantify uncertainty, it was recognized that conceptual uncertainty involving the controlling processes was likely dominant. So, the effort focused on modeling different scenarios to evaluate the impact of the conceptual uncertainty.

Magnuson, S.O.

2002-05-10T23:59:59.000Z

457

New National Conservation Training Center a Model of Energy-Efficient Design  

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

former Hendrix Farmstead on former Hendrix Farmstead on the banks of the Potomac River in West Virginia is the pastoral setting for the new U.S. Fish and Wildlife Service (USFWS) National Conservation Training Center (NCTC). It includes 16 buildings on 500 acres that accommo- date education and training facilities. Opened in September 1997, the campus now serves USFWS's habitat manage- ment, biodiversity, and environmental training needs with classrooms, teaching labs, a museum, student housing, sup- port and utilities spaces, and other structures. The center was designed to use passive solar and low-energy tech- nologies that are readily available, easily maintained, and cost effective. All these technologies and applications fit into a comprehensive sustainability approach. As a new Federal facility, the center

458

New National Conservation Training Center a Model of Energy-Efficient Design  

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

former Hendrix Farmstead on former Hendrix Farmstead on the banks of the Potomac River in West Virginia is the pastoral setting for the new U.S. Fish and Wildlife Service (USFWS) National Conservation Training Center (NCTC). It includes 16 buildings on 500 acres that accommo- date education and training facilities. Opened in September 1997, the campus now serves USFWS's habitat manage- ment, biodiversity, and environmental training needs with classrooms, teaching labs, a museum, student housing, sup- port and utilities spaces, and other structures. The center was designed to use passive solar and low-energy tech- nologies that are readily available, easily maintained, and cost effective. All these technologies and applications fit into a comprehensive sustainability approach. As a new Federal facility, the center

459

Asymmetric directly driven capsule implosions: Modeling and experiments-A requirement for the National Ignition Facility  

SciTech Connect

Direct-drive experiments at the University of Rochester's OMEGA laser [T. R. Boehly, R. L. McCrory, C. P. Verdon et al., Fusion Eng. Des. 44, 35 (1999)] have been performed to prototype eventual campaigns on the National Ignition Facility (NIF) [E. I. Moses and C. R. Wuest, Fusion Sci. Technol. 43, 420 (2003)] to investigate the mixing of target materials. Spherical-implosion targets with equatorial defects have been irradiated with polar direct drive, a requirement for direct-drive experiments at NIF. The physics question addressed by these results is whether simulations can match data on 0th-order hydrodynamics and implosion symmetry, the most basic implosion features, with and without the defect. The successful testing of hydrodynamic simulations leads to better designs for experiments and guides accurate planning for polar-direct-drive-ignition studies on the NIF platform.

Cobble, J. A.; Murphy, T. J.; Schmitt, M. J.; Bradley, P. A.; Krashenninikova, N. S.; Obrey, K. A.; Hsu, S. C.; Tregillis, I. L.; Magelssen, G. R.; Wysocki, F. J.; Batha, S. H. [Los Alamos National Laboratory, Mail Stop E527, Los Alamos, New Mexico 87545 (United States)

2012-12-15T23:59:59.000Z

460

Greenhouse gases and the metallurgical process industry  

SciTech Connect

The present lecture offers a brief review of the greenhouse effect, the sources of greenhouse gases, the potential effect of these gases on global warming, the response of the international community, and the probable cost of national compliance. The specific emissions of the metallurgical process industry, particularly those of the steel and aluminum sectors, are then examined. The potential applications of life-cycle assessments and of an input-output model in programs of emissions' abatement are investigated, and, finally, a few remarks on some implications for education are presented.

Lupis, C.H.P.

1999-10-01T23:59:59.000Z

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461

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