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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

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

SciTech Connect (OSTI)

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 requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. 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. 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 2015) 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 industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

NONE

1997-01-01T23:59:59.000Z

2

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

SciTech Connect (OSTI)

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

3

A National Resource for Industry  

E-Print Network [OSTI]

alloys, and metal matrix composite products carbon fibe's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first

4

HVAC Component Data Modeling Using Industry Foundation Classes Vladimir Bazjanac, Lawrence Berkeley National Laboratory, U.S.A.  

E-Print Network [OSTI]

1 HVAC Component Data Modeling Using Industry Foundation Classes Vladimir Bazjanac, Lawrence. This paper describes a number of aspects of a major extension of the HVAC part of the IFC data model. First is the introduction of a more generic approach for handling HVAC components. This includes type information, which

5

University-Industry-National Laboratory Partnership to Improve...  

Office of Environmental Management (EM)

University-Industry-National Laboratory Partnership to Improve Building Efficiency by Equipment Health Monitoring with Virtual Intelligent Sensing University-Industry-National...

6

Sandia National Laboratories: Industry Links  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS Exhibit atVehicle TechnologiesImproved Power SystemIndustry

7

Defense programs industrial partnerships at Los Alamos National Laboratory  

SciTech Connect (OSTI)

The US Department of Energy`s Defense Programs face unprecedented challenges of stewardship for an aging nuclear stockpile, cessation of nuclear testing, reduced federal budgets, and a smaller manufacturing complex. Partnerships with industry are essential in developing technology, modernizing the manufacturing complex, and maintaining the safety and reliability of the nation`s nuclear capability. The past decade of federal support for industrial partnerships has promoted benefits to US industrial competitiveness. Recent shifts in government policy have re-emphasized the importance of industrial partnerships in accomplishing agency missions. Nevertheless, abundant opportunities exist for dual-benefit, mission-driven partnerships between the national laboratories and industry. Experience at Los Alamos National Laboratory with this transition is presented.

Freese, K.B. [Los Alamos National Lab., NM (United States). Industrial Partnership Office

1996-10-01T23:59:59.000Z

8

Sandia National Laboratories: CSP Industry Links  

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

Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

9

Iron and steel industry process model  

SciTech Connect (OSTI)

The iron and steel industry process model depicts expected energy-consumption characteristics of the iron and steel industry and ancillary industries for the next 25 years by means of a process model of the major steps in steelmaking, from ore mining and scrap recycling to the final finishing of carbon, alloy, and stainless steel into steel products such as structural steel, slabs, plates, tubes, and bars. Two plant types are modeled: fully integrated mills and mini-mills. User-determined inputs into the model are as follows: projected energy and materials prices; projected costs of capacity expansion and replacement; energy-conserving options, both operating modes and investments; the internal rate of return required on investment; and projected demand for finished steel. Nominal input choices in the model for the inputs listed above are as follows: National Academy of Sciences Committee on Nuclear and Alternative Energy Systems Demand Panel nominal energy-price projections for oil, gas, distillates, residuals, and electricity and 1975 actual prices for materials; actual 1975 costs; new technologies added; 15% after taxes; and 1975 actual demand with 1.5%/y growth. The model reproduces the base-year (1975) actual performance of the industry; then, given the above nominal input choices, it projects modes of operation and capacity expansion that minimize the cost of meeting the given final demands for each of 5 years, each year being the midpoint of a 5-year interval. The output of the model includes the following: total energy use and intensity (Btu/ton) by type, by process, and by time period; energy conservation options chosen; utilization rates for existing capacity; capital-investment decisions for capacity expansion.

Sparrow, F.T.; Pilati, D.; Dougherty, T.; McBreen, E.; Juang, L.L.

1980-01-01T23:59:59.000Z

10

Sandia National Laboratories: International Micro Industries  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS Exhibit atVehicleEnergyPolydotsMicro Industries Sandia,

11

Modeling the semiconductor industry dynamics  

E-Print Network [OSTI]

The semiconductor industry is an exciting and challenging industry. Strong demand at the application end, plus the high capital intensity and rapid technological innovation in manufacturing, makes it difficult to manage ...

Wu, Kailiang

2008-01-01T23:59:59.000Z

12

National Energy Modeling System (NEMS)  

DOE Data Explorer [Office of Scientific and Technical Information (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.

13

Sandia National Laboratories: Modeling  

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

Mark Boslough Featured in NOVA Special about the Chelyabinsk Meteor On April 3, 2013, in Capabilities, Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

14

Sandia National Laboratories: Modeling  

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

a model that can be used ... Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling,...

15

Nevada National Security Site Industrial Sites Project Closeout - 12498  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Site Office is responsible for environmental restoration (ER) at the Nevada National Security Site (NNSS). This includes remediation at Industrial Sites where past nuclear testing activities and activities that supported nuclear testing may have or are known to have resulted in the release of contaminants into the environment. Industrial Sites at the NNSS have included nuclear facilities that supported the nuclear rocket/missile development programs, gas stations, landfills, spill sites, ordnance sites, and numerous other waste disposal and release sites. The NNSS Industrial Sites activities neared completion at the end of fiscal year 2011 while other activities required under the Federal Facility Agreement and Consent Order (FFACO) and part of the same NNSS ER Project are forecasted to extend to 2027 or beyond. With the majority of Industrial Sites corrective action units (CAUs) completed (more than 250 CAUs and over 1,800 corrective action sites), it was determined that an activity closeout process should be implemented to ensure that the work completed over the past 15 years is well documented in a comprehensive and concise summary. While the process used to close each individual CAU is described in approved documents, no single document describes in summary fashion the work completed to close the many individual Industrial Sites. The activity closeout process will be used to develop an Industrial Sites closeout document that describes these years of work. This document will summarize the number of Industrial Sites closed under the FFACO and provide general descriptions of projects, contaminants removed, and sites closed in place with corresponding Use Restrictions. Other pertinent information related to Industrial Sites work such as the project history, closure decisions, historical declarations, remediation strategies, and final CAU status will be included in the closeout document, along with a table listing each CAU and corresponding corrective action sites within each CAU. Using this process of conducting the activity closeout and developing a closeout document may prove useful for other ER projects within the DOE complex in describing how a long period of ER can be summarized in a single document. The NNSS Industrial Sites activities were completed over the span of 15 years and involved the investigation, cleanup or Use Restriction, and closure of more than 260 CAUs and over 1,800 sites. These activities will conclude in FY 2012 (with the exception of one CAU). In order to capture the work completed over this length of time and document decisions made during the activities, a closeout effort was initiated. The closeout will review the work conducted during the Industrial Sites activities and produce a single document that summarizes Industrial Sites activities. This closeout is being conducted at an interim stage in the overall NNSA/NSO ER Project since the Soils and UGTA activities will continue for a number of years, but the completion of the Industrial Sites project warrants conducting a closeout now while personnel are available and information is still current. The process followed by NNSA/NSO in conducing project closeout for the Industrial Sites portion of the ER program may prove useful within the DOE complex in demonstrating how a large ER project can be summarized. (authors)

Cabble, Kevin [U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Las Vegas, Nevada 89193 (United States); Krauss, Mark [S.M. Stoller for Navarro-Intera, LLC, Las Vegas, Nevada 89193 (United States); Matthews, Pat [Navarro-Intera, LLC, Las Vegas, Nevada 8919 (United States)

2012-07-01T23:59:59.000Z

16

Sandia National Laboratories: Modeling  

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

Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...

17

Developed by: Lawrence Berkeley National Laboratory with input from industry partners representing high tech  

E-Print Network [OSTI]

Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory UniversityLBNL-50599 Developed by: Lawrence Berkeley National Laboratory with input from industry partners For High Tech Buildings #12;DISCLAIMER The Lawrence Berkeley National Laboratory, 1 Cyclotron Road

18

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational SmartModeling Sandia and

19

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding a MicrogridModeling

20

Sandia National Laboratories: JBEI Research Receives Strong Industry...  

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

EnergyBiofuelsJBEI Research Receives Strong Industry Interest in DOE Technology Transfer Call JBEI Research Receives Strong Industry Interest in DOE Technology Transfer...

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

US Energy Service Company Industry: History and Business Models  

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

Energy Service Company Industry: History and Business Models Don Gilligan President, NAESCO May 6, 2011 Overview of Presentation * US ESCO industry evolution: Five phases *...

22

Developed by: Lawrence Berkeley National Laboratory with input from industry partners representing data  

E-Print Network [OSTI]

Division Ernest Orlando Lawrence Berkeley National Laboratory University of California 1 Cyclotron RoadLBNL-53483 Developed by: Lawrence Berkeley National Laboratory with input from industry partners RROOAADDMMAAPP A 10-Year Research Plan For Data Center Buildings #12;DISCLAIMER The Lawrence Berkeley National

23

Industrial Revolutions and Consumption: A Common Model to the Various Periods of Industrialization  

E-Print Network [OSTI]

Industrial Revolutions and Consumption: A Common Model to the Various Periods of Industrialization and establish a plausible link between consumption structure evolutions and industrial revolutions. In particular, we show that an industrial revolution starts with a "smithian growth process", which is demand

Boyer, Edmond

24

Analysis and Clustering of Model Clones: An Automotive Industrial Experience  

E-Print Network [OSTI]

Analysis and Clustering of Model Clones: An Automotive Industrial Experience Manar H. Alalfi, James similarity in industrial automotive models. We apply our model clone detection tool, SIMONE, to identify and suggests better ways to maintain them. I. INTRODUCTION In todays automotive industry, models are widely

Cordy, James R.

25

ITP Industrial Distributed Energy: 3rd Annual National CHP Roadmap...  

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

3 rd Annual National CHP Roadmap Workshop CHP and DER for Federal Facilities EPA CHP Partnership Meeting A Combined Event for Federal Facility Managers And CHP Advocates October...

26

Characterizing emerging industrial technologies in energy models  

SciTech Connect (OSTI)

Conservation supply curves are a common tool in economic analysis. As such, they provide an important opportunity to include a non-linear representation of technology and technological change in economy-wide models. Because supply curves are closely related to production isoquants, we explore the possibility of using bottom-up technology assessments to inform top-down representations of energy models of the U.S. economy. Based on a recent report by LBNL and ACEEE on emerging industrial technologies within the United States, we have constructed a supply curve for 54 such technologies for the year 2015. Each of the selected technologies has been assessed with respect to energy efficiency characteristics, likely energy savings by 2015, economics, and environmental performance, as well as needs for further development or implementation of the technology. The technical potential for primary energy savings of the 54 identified technologies is equal to 3.54 Quads, or 8.4 percent of the assume d2015 industrial energy consumption. Based on the supply curve, assuming a discount rate of 15 percent and 2015 prices as forecasted in the Annual Energy Outlook2002, we estimate the economic potential to be 2.66 Quads - or 6.3 percent of the assumed forecast consumption for 2015. In addition, we further estimate how much these industrial technologies might contribute to standard reference case projections, and how much additional energy savings might be available assuming a different mix of policies and incentives. Finally, we review the prospects for integrating the findings of this and similar studies into standard economic models. Although further work needs to be completed to provide the necessary link between supply curves and production isoquants, it is hoped that this link will be a useful starting point for discussion with developers of energy-economic models.

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

2003-07-29T23:59:59.000Z

27

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...

Zyss, J.

1980-01-01T23:59:59.000Z

28

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

SciTech Connect (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

29

Innovation in the man-made fibres industry: corporate strategy and national institutions  

E-Print Network [OSTI]

1 DRAFT Innovation in the man-made fibres industry: corporate strategy and national institutions in innovation. It is built around the experiences of three companies, all operating in the same industry, two of which can be described as innovation successes and the third as an innovation failure. The aim

Sussex, University of

30

Sandia National Laboratories: Modeling & Analysis  

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

grid integration of renewable-energy resources, real-time residential and industrial energy management and control, lifetime degradation and science and various forms of advanced...

31

Policy modeling for industrial energy use  

SciTech Connect (OSTI)

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

32

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

33

Industrial ecology at Lawrence Livermore National Laboratory summary statement  

SciTech Connect (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

34

Industrial ecology at Lawrence Livermore National Laboratory summary statement  

SciTech Connect (OSTI)

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

35

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...

Alexander, J.

36

Sandia National Laboratories: Modeling & Analysis  

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

On September 19, 2013, in Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid Integration, Modeling, Modeling & Analysis, News, News &...

37

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 (OSTI)

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

38

2013 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 (OSTI)

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (WRU-I-0160-01, formerly 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, 2012 through October 31, 2013. 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 facility’s environmental impacts During the 2013 reporting year, an estimated 9.64 million gallons of wastewater were discharged to the Industrial Waste Ditch and Pond which is well below the permit limit of 17 million gallons per year. The concentrations of all permit-required analytes in the samples from the down gradient monitoring wells were below the applicable Idaho Department of Environmental Quality’s groundwater quality standard levels.

Mike Lewis

2014-02-01T23:59:59.000Z

39

2012 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 (OSTI)

This report describes conditions, as required by the state of Idaho Industrial Wastewater Reuse Permit (WRU-I-0160-01, formerly 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, 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 special compliance conditions • Discussion of the facility’s environmental impacts During the 2012 reporting year, an estimated 11.84 million gallons of wastewater were discharged to the Industrial Waste Ditch and Pond which is well below the permit limit of 17 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.

Mike Lewis

2013-02-01T23:59:59.000Z

40

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 (OSTI)

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 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 facility’s 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

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

Sandia National Laboratories: Energy Savings and Industrial Competitiveness  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0EnergySandiaConsortiumAct Energy Savings and Industrial

42

Sandia National Laboratories: Modeling & Analysis  

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

Grid Integration, Wind Energy Sandia finalized and submitted the updated "WECC Wind Power Plant Dynamic Model-ing Guide" and the "WECC PV Power Plant Dynamic Modeling...

43

Sandia National Laboratories: Modeling & Analysis  

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

Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected On December 6, 2011, in Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...

44

most are government agencies --local, national and international. A ten-year industry forecast put together  

E-Print Network [OSTI]

most are government agencies -- local, national and international. A ten-year industry forecast put environmental, civil government, defence and security, and transportation as the most active market segments combine geographic information systems with satellite data are in demand in a variety of disciplines

Wisconsin at Madison, University of

45

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

SciTech Connect (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

46

Friction Modeling and Compensation for an Industrial Robot  

E-Print Network [OSTI]

Friction Modeling and Compensation for an Industrial Robot Stephen M. Phillips and Kevin R. Ballou it is assumed to be unpredictable or insignificant. In experiments on the PUMA 560 robot arm, Armstrong' dem

47

Industry  

E-Print Network [OSTI]

SHIP - Solar heat for industrial processes. Internationalsolar power could be used to provide process heat for

Bernstein, Lenny

2008-01-01T23:59:59.000Z

48

Energy Flow Models for the Steel Industry  

E-Print Network [OSTI]

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...

Hyman, B.; Andersen, J. P.

49

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

E-Print Network [OSTI]

Published by Oak Ridge National Laboratory No. 1 2010 The industrial sector accounts for nearly one research and development agreements (CRADAs) and two large work-for-others projects. Ev- ery single one

Pennycook, Steve

50

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

SciTech Connect (OSTI)

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

51

Modelling Inter-Industry Material Flows  

E-Print Network [OSTI]

............................................................................................ 4 3.1.2. Life-cycle Analysis. The development of energy-materials-economic models arose out of the need for tools to aid the development, capable of representing complex systems and interactions in a comprehensive and concise way. However

52

Nationalization of the oil industry in Iran 1951-1953: a study in cold war diplomacy  

E-Print Network [OSTI]

ort, facing p. 3)0. 23 The means of oil transportation were also controlled. by the seven~ together they owned. 5' of the world. tanker fleet and were under contract to two-thirds of private tankers. AU. pipelines outside the United States ware...NATIONALIZATION OF THE OIL INDUSTRY IN IRAN 195l-1953s A STUN IN COLD WAR DIPLIRAOI LINDA NILLS /AIM-lQLQAXI Sulaitte4 to the Graduate Callege of Texme AAH Vhiverssity & yartiel fulfiI1msnt of the requirement for the Legree of December 1973...

Qaim-Maqami, Linda Wills

2012-06-07T23:59:59.000Z

53

Industry  

E-Print Network [OSTI]

of its electricity requirements in the USA (US DOE, 2002)USA, where motor-driven systems account for 63% of industrial electricity

Bernstein, Lenny

2008-01-01T23:59:59.000Z

54

Hydrodynamic model of Fukushima-Daiichi NPP Industrial site flooding  

E-Print Network [OSTI]

While the Fukushima-Daiichi was designed and constructed the maximal tsunami height estimate was about 3 m based on analysis of statistical data including Chile earthquake in 1960. The NPP project industrial site height was 10 m. The further deterministic estimates TPCO-JSCE confirmed the impossibility of the industrial site flooding by a tsunami and therefore confirmed ecological safety of the NPP. However, as a result of beyond design earthquake of 11 March 2011 the tsunami height at the shore near the Fukushima-Daiichi NPP reached 15 m. This led to flooding and severe emergencies having catastrophic environmental consequences. This paper proposes hydrodynamic model of tsunami emerging and traveling based on conservative assumptions. The possibility of a tsunami wave reaching 15 m height at the Fukushima-Daiichi NPP shore was confirmed for deduced hydrodynamic resistance coefficient of 1.8. According to the model developed a possibility of flooding is determined not only by the industrial site height, magni...

Vaschenko, V N; Gerasimenko, T V; Vachev, B

2014-01-01T23:59:59.000Z

55

The National Energy Modeling System: An overview  

SciTech Connect (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

56

Applications of Ontologies for Assembling Simulation Models of Industrial Systems  

E-Print Network [OSTI]

-automated semantic engine that assembles the simulation model. We represent a structure of a real industrial plant in a plant ontology and available simulation blocks in a simulation ontology. Signals of each simulation critical scenarios of nuclear power plants [9]. As some real experiments cannot be repeated under the same

57

Independent Demand Models Non Linear (Chemical Industry -take or pay)  

E-Print Network [OSTI]

casesshippedperweek #12;High Variability Between Forecast and Actual · Demand in relation to the forecast means almostIndependent Demand Models · Non Linear (Chemical Industry - take or pay) · Deterministic Simulation (make to stock - lumpy demand) · Mathematical Programming (family structure - near optimum) · Heuristic

Brock, David

58

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...

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

59

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

60

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

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.


61

A dynamic model of industrial energy demand in Kenya  

SciTech Connect (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

62

Sandia National Laboratories: A Model for the Nation: Promoting...  

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

and Exhibition (EU PVSC) EC Top Publications Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter Experimental Wave Tank Test for Reference Model 3 Floating- Point...

63

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

SciTech Connect (OSTI)

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

64

Industry  

SciTech Connect (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

65

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

SciTech Connect (OSTI)

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

66

Department of Energy Office of Nuclear Safety and Environmental Policy Technical Position NSEP-TP-2007- 1, Technical Position on the Requirement in DOE 0 420.1B to Use National Consensus Industry Standards and the Model Building CodesTechnical Position NS  

Broader source: Energy.gov [DOE]

All new construction required to follow the provisions of Department of Energy(DOE) Order 420. lB, Facility Safety, must comply with national consensus industrystandards and the model building...

67

Delivered Energy Consumption Projections by Industry in the Annual Energy Outlook 2002  

Reports and Publications (EIA)

This paper presents delivered energy consumption and intensity projections for the industries included in the industrial sector of the National Energy Modeling System.

2002-01-01T23:59:59.000Z

68

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

Office of Environmental Management (EM)

the Nation's Grid from Cybersecurity Threats May 31, 2012 - 4:32pm Addthis The Electricity Subsector Cybersecurity Capability Maturity Model, which allows electric utilities...

69

An Equal Opportunity Employer / Operated by Los Alamos National Security, LLC for the U.S. Department of Energy's NNSA Los Alamos National Security, LLC Request for Information on how industry may partner with the  

E-Print Network [OSTI]

.S. Department of Energy's NNSA Los Alamos National Security, LLC Request for Information on how industry may Employer / Operated by Los Alamos National Security, LLC for the U.S. Department of Energy's NNSA scaling

70

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY Appl. Stochastic Models Bus. Ind., 2006; 22:297311  

E-Print Network [OSTI]

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY Appl. Stochastic Models Bus. Ind., 2006; 22 Non-parametric modelling of time-varying customer service times at a bank call centre Haipeng Shen1 are interested in modelling the time-varying pattern of average customer service times at a bank call centre

Shen, Haipeng

71

FROM BUSINESS MODEL TO BUSINESS MODEL PORTFOLIO IN THE EUROPEAN BIOPHARMACEUTICAL INDUSTRY  

E-Print Network [OSTI]

FROM BUSINESS MODEL TO BUSINESS MODEL PORTFOLIO IN THE EUROPEAN BIOPHARMACEUTICAL INDUSTRY 1 GAEL and of the anticipations of consumers' needs, the business model approach complements corporate and business strategy approaches. Firms combine several business models simultaneously to deliver value to different markets

Paris-Sud XI, Université de

72

National Industrial Energy Technology Conference, New Orleans, LA, May 11-12, 2005 1 Quantifying Savings From Improved Boiler Operation  

E-Print Network [OSTI]

energy savings from switching to modulation control mode and reducing excess air in natural gas firedNational Industrial Energy Technology Conference, New Orleans, LA, May 11-12, 2005 1 Quantifying/off operation and excess combustion air reduce boiler energy efficiency. This paper presents methods to quantify

Kissock, Kelly

73

Kinetic Part-Feeding Models for Assembly Lines in Automotive Industries  

E-Print Network [OSTI]

Kinetic Part-Feeding Models for Assembly Lines in Automotive Industries Michael Herty, Lena.ziegler@daimler.com. #12;KINETIC PART­FEEDING MODELS FOR ASSEMBLY LINES IN AUTOMOTIVE INDUSTRIES MICHAEL HERTY, LENA in automotive industries by models based on partial differential equations.The basic idea consists

Noelle, Sebastian

74

Comparison of Implementations of a Flexible Joint Multibody Dynamics System Model for an Industrial Robot  

E-Print Network [OSTI]

In this paper, different implementations of elastic joint models of industrial robots are described and com Industrial robots are widely used in various fields of applica- tion. However, when it comes to tasks where than industrial robots. Industrial robots, on the other hand, have a high work space and are very

Stryk, Oskar von

75

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

76

US Energy Service Company Industry: History and Business Models  

Office of Energy Efficiency and Renewable Energy (EERE)

Information about the history of US Energy Service Company including industry history, setbacks, and lessons learned.

77

National Nanotechnology Initiative's Signature Initiative Sustainable Nanomanufacturing: Creating the Industries of the Future  

Broader source: Energy.gov [DOE]

Presentation for the Sustainable Nanomaterials Workshop by National Nanotechnology Coordination Office held on June 26, 2012

78

Designing a Mobile Collaborative System for Navigating and Reviewing Oil Industry CAD Models  

E-Print Network [OSTI]

Designing a Mobile Collaborative System for Navigating and Reviewing Oil Industry CAD Models navigating and reviewing 3D engineering models, applied to the oil industry. Together with professional oil industry engineers from a large oil company, a team of HCI researchers per- formed task analysis

Barbosa, Alberto

79

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

E-Print Network [OSTI]

implemented in Canada, what would be the response of the industrial sector in terms of energy consumptionHybrid modeling of industrial energy consumption and greenhouse gas emissions with an application for modeling industrial energy consumption, among them a series of environmental and security externalities

80

High speed cutting with industrial robots: Towards model based compensation of deviations  

E-Print Network [OSTI]

, [abele|bauer|weigold]@ptw.tu-darmstadt.de Abstract Application of industrial robots for high speedHigh speed cutting with industrial robots: Towards model based compensation of deviations Modeling and numerical simulation of the industrial robot with elastic joints Dr.-Ing. M. Stelzer and Prof. Dr. rer. nat

Stryk, Oskar von

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

Sandia National Laboratories: PV Reliability & Performance Model  

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

Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

82

Sandia National Laboratories: Performance Modeling Workshop Presentati...  

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

Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

83

Watershed Modeling for Biofuels | Argonne National Laboratory  

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

Watershed Modeling for Biofuels Argonne's watershed modeling research addresses water quality in tributary basins of the Mississippi River Basin Argonne's watershed modeling...

84

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

85

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

86

Sandia National Laboratories: spray combustion model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar Thermal Testthermalstatesolutionspray

87

Sandia National Laboratories: systems modeling for energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar Thermalsslsstudyengineeringenergy Sandia

88

Sandia National Laboratories: systems modeling for infrastructure  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar Thermalsslsstudyengineeringenergy

89

Sandia National Laboratories: systems modeling for vehicles  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar

90

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...

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

1980-01-01T23:59:59.000Z

91

DYNAMIC MODEL OF AN INDUSTRIAL HEAT PUMP USING WATER AS REFRIGERANT  

E-Print Network [OSTI]

1 DYNAMIC MODEL OF AN INDUSTRIAL HEAT PUMP USING WATER AS REFRIGERANT CHAMOUN MARWAN to improve industrial energy efficiency, the development of a high temperature heat pump using water vapor as refrigerant is investigated. Technical problems restraining the feasibility of this industrial heat pump

Paris-Sud XI, Université de

92

EVALUATION OF INDUSTRY FOUNDATION CLASSES FOR PRACTICAL BUILDING INFORMATION MODELING INTEROPERABILITY  

E-Print Network [OSTI]

Standard Project Committee defines a Building Information Model as "a digital representation of physicalEVALUATION OF INDUSTRY FOUNDATION CLASSES FOR PRACTICAL BUILDING INFORMATION MODELING FOR PRACTICAL BUILDING INFORMATION MODELING INTEROPERABILITY ABSTRACT The AEC (Architecture, Engineering

Kamat, Vineet R.

93

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

SciTech Connect (OSTI)

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

94

Sandia National Laboratories: techno-economic model  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational SolartSSL George Wang's Invited Talk

95

Sandia National Laboratories: techno-economic modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational SolartSSL George Wang's Invited

96

Sandia National Laboratories: PV Performance Modeling Collaborative  

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

being pursued in this collaborative include: PVPMC Website: (http:pvpmc.org) Matlab(tm) PV Performance Modeling Toolbox (PVLIB Toolbox can be downloaded on http:...

97

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

98

Distributed Energy: Modeling Penetration in Industrial Sector Over the Long-Term  

E-Print Network [OSTI]

Distributed Energy: Modeling Penetration in Industrial Sector over the Long-Term Lorna Greening, Private Consultant, Los Alamos, NM Distributed energy (DE) sources provide a number of benefits when utilized. For industrial facilities... and the generation of steam. Within the framework of a US energy system model (MARKAL using the assumptions underlying AEO 2005), where all sources of energy supply and demand are depicted, the potential penetration of DE options is evaluated. The industrial...

Greening, L.

2006-01-01T23:59:59.000Z

99

A National Strategy for Advancing Climate Modeling  

SciTech Connect (OSTI)

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 nationâ??s capability to accurately simulate climate and related Earth system changes on decadal to centennial timescales. The committeeâ??s report is a high level analysis, providing a strategic framework to guide progress in the nationâ??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

100

Sandia National Laboratories: Modeling and Analysis  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational SmartModelingModeling

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

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

SciTech Connect (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

102

Sandia National Laboratories: develop numerical modeling tools  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1development Sandia, NRELdeep-water multiple-megawatt VAWTenergynumerical modeling

103

Sandia National Laboratories: PV Performance Modeling Collaborative  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLSMolten-Salt StorageNoLongAnalysisPV Performance Modeling

104

Sandia National Laboratories: accurate emergency modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1development Sandia, NREL Release Wave EnergyLinksZ Newsacceleratingemergency modeling

105

Sandia National Laboratories: Modeling & Analysis  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational SmartModeling Sandia

106

Sandia National Laboratories: Modeling & Analysis  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational SmartModeling

107

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.eps MoreWSRC-STI-2007-00250ThisMarshtoNational Nuclearthe EnergyA National

108

Modeling of battery energy storage in the National Energy Modeling System  

SciTech Connect (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

109

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

SciTech Connect (OSTI)

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

110

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

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

Innovation, NREL (National Renewable Energy Laboratory) Leading the Nation in Clean Energy Deployment Rebuilding Greensburg, Kansas, as a Model Green Community: A Case Study;...

111

Scope for industrial applications of production scheduling models and  

E-Print Network [OSTI]

Computers and Chemical Engineering 62 (2014) 161­ 193 © ABB Group March 18, 2014 | Slide 2 #12 learned and success stories on real industrial scheduling implementations General guidelines and examples and scheduling © ABB Group March 18, 2014 | Slide 5 #12;Where is scheduling "located" Traditional system

Grossmann, Ignacio E.

112

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis  

E-Print Network [OSTI]

Sloshing in the LNG shipping industry: risk modelling through multivariate heavy-tail analysis In the liquefied natural gas (LNG) shipping industry, the phenomenon of slosh- ing can lead to the occurrence. The parsimonious representation thus obtained proves to be very convenient for the simulation of mul- tivariate

113

Prediction of the tool displacement for robot milling applications using coupled models of an industrial  

E-Print Network [OSTI]

. INTRODUCTION The major fields of machining applications for industrial robots are automated pre- machining an industrial robot for milling applications inaccuracies of the serial robot kinematic, the low structuralPrediction of the tool displacement for robot milling applications using coupled models

Stryk, Oskar von

114

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

SciTech Connect (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

115

A model for a national low level waste program  

SciTech Connect (OSTI)

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

116

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

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Review of theOFFICEACMEFUTURE MOBILITY

117

A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionof Energy 5ofA BoostNational Offshore

118

How to obtain the National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.

2013-01-01T23:59:59.000Z

119

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

SciTech Connect (OSTI)

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

120

Modeling ruminant methane emissions from the U.S. beef cattle industry  

E-Print Network [OSTI]

Computer models were constructed to estimate methane emissions from cow/calf, replacement heifers, burs, stockers and feedlot sectors of the U.S. beef cattle industry. Methane (CH4) yields were calculated based on net energy values and forage...

Turk, Danny Carroll

1993-01-01T23:59:59.000Z

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

Petroleum Market Model of the National Energy Modeling System  

SciTech Connect (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

122

A quantitative model to predict the cost of quality nonconformance in the construction industry  

E-Print Network [OSTI]

A QUANTITATIVE MODEL TO PREDICT THE COST OF QUALITY NONCONFORMANCE IN THE CONSTRUCTION INDUSTRY A Thesis by ETHELBERT OKECHUKWU OPARA Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of requirements... for the degree of MASTER OF SCIENCE August 1993 Major Subject: Construction Management A QUANTITATIVE MODEL TO PREDICT THE COST OF QUALITY NONCONFORMANCE IN THE CONSTRUCTION INDUSTRY A Thesis by ETHELBERT OKECHUKWU OPARA Submitted to Texas A&M University...

Opara, Ethelbert Okechukwu

1993-01-01T23:59:59.000Z

123

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

E-Print Network [OSTI]

that the commission is considering, electricity market models, production cost/optimal power flow models, and hybridsComments on the use of computer models for merger analysis in the electricity industry FERC Docket for market power in electricity markets. These analyses have yielded several insights about the application

California at Berkeley. University of

124

The National Energy Modeling System: An overview 1998  

SciTech Connect (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

125

Model documentation Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect (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

126

Testing a Model of American Elite Generational Continuity with Cross National Data  

E-Print Network [OSTI]

A cross national data set consisting of 122 national chief executives who were in office in 1990 is used to test the validity of a model of American elite generational continuity. The hypothesis is that the model will be ...

Kurtz II, Donn M.

1999-04-01T23:59:59.000Z

127

Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation  

E-Print Network [OSTI]

Model Part I, Energy Technology Systems Analysis Programme,A Report of the Energy Technology Systems Analysis Project,Energy Efficiency Technologies in Integrated Assessment

Karali, Nihan

2014-01-01T23:59:59.000Z

128

New Model Demonstrates Offshore Wind Industry's Job Growth Potential...  

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

has developed a tool to estimate jobs and other economic impacts associated with offshore wind development in the United States. The modeling tool, which illustrates the potential...

129

The home is rapidly becoming a center for health and wellbeing, learning, communication, energy conservation, entertainment, work, and care of our nation's elderly. Industry leaders, policymakers, and  

E-Print Network [OSTI]

how people will interact with new devices in the home. Since behavior in real-world settings is bothOverview The home is rapidly becoming a center for health and wellbeing, learning, communication, energy conservation, entertainment, work, and care of our nation's elderly. Industry leaders

130

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

SciTech Connect (OSTI)

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

131

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]

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

132

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

SciTech Connect (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 Site’s 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 facility’s 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

133

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

SciTech Connect (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 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

134

CARIBBEAN DIGITAL ELEVATION MODELS Coastal Models Supporting our Nation's Needs through Science and Technology  

E-Print Network [OSTI]

CARIBBEAN DIGITAL ELEVATION MODELS Coastal Models Supporting our Nation's Needs through Science the Technical Reports developed for each DEM, available online. #12;CARIBBEAN ISLANDS The Caribbean is much more. People who live in communities in the Caribbean, especially in low-lying develop- ments along the coast

135

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

SciTech Connect (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

136

ISTUM PC: industrial sector technology use model for the IBM-PC  

SciTech Connect (OSTI)

A project to improve and enhance the Industrial Sector Technology Use Model (ISTUM) was originated in the summer of 1983. The project had dix identifiable objectives: update the data base; improve run-time efficiency; revise the reference base case; conduct case studies; provide technical and promotional seminars; and organize a service bureau. This interim report describes which of these objectives have been met and which tasks remain to be completed. The most dramatic achievement has been in the area of run-time efficiency. From a model that required a large proportion of the total resources of a mainframe computer and a great deal of effort to operate, the current version of the model (ISTUM-PC) runs on an IBM Personal Computer. The reorganization required for the model to run on a PC has additional advantages: the modular programs are somewhat easier to understand and the data base is more accessible and easier to use. A simple description of the logic of the model is given in this report. To generate the necessary funds for completion of the model, a multiclient project is proposed. This project will extend the industry coverage to all the industrial sectors, including the construction of process flow models for chemicals and petroleum refining. The project will also calibrate this model to historical data and construct a base case and alternative scenarios. The model will be delivered to clients and training provided. 2 references, 4 figures, 3 tables.

Roop, J.M.; Kaplan, D.T.

1984-09-01T23:59:59.000Z

137

A National Assistance Extension Program for Metal Casting: a foundation industry. Final report for the period February 16, 1994 through May 15, 1997  

SciTech Connect (OSTI)

The TRP award was proposed as an umbrella project to build infrastructure and extract lessons about providing extension-enabling services to the metal casting industry through the national network of Manufacturing Technology Center`s (MTC`s). It targeted four discrete task areas required for the MCC to service the contemplated needs of industry, and in which the MCC had secured substantial involvement of partner organizations. Task areas identified included Counter-Gravitational Casting, Synchronous Manufacturing, Technology Deployment, and Facility and Laboratory Improvements. Each of the task areas includes specific subtasks which are described.

NONE

1997-09-01T23:59:59.000Z

138

Sandia National Laboratories: Industry  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS Exhibit atVehicle TechnologiesImproved Power System

139

Impacts of Modeled Recommendations of the National Commission on Energy Policy  

Reports and Publications (EIA)

This report provides the Energy Information Administration's analysis of those National Commission on Energy Policy (NCEP) energy policy recommendations that could be simulated using the National Energy Modeling System (NEMS).

2005-01-01T23:59:59.000Z

140

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

E-Print Network [OSTI]

to take advantage of the new tax law; the new tax law did not significantly benefit all industries. Thus to claim that all corporations and all industries benefit uniformly from state actions would be misleading. The eight industries that benefited... claimed that these provisions would stimulate economic growth. Ironically in 1981, the same year in which the Economic Recovery Tax Act was passed, the Council of State Planning Agencies reported that the corporate tax incentives (primarily given...

Kardell, Amy Louise

2004-09-30T23:59:59.000Z

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.


141

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 winery effluent wastewater Carlos García-Diéguez 1 , Olivier Bernard 2 , Enrique Roca 1, * 1 USC ­ PRODES for winery effluent wastewater. A new reduced stoichiometric matrix was identified and the kinetic parameters

Boyer, Edmond

142

Industry Alliance Industry Alliance  

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

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

143

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect (OSTI)

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.

NONE

1996-04-30T23:59:59.000Z

144

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

SciTech Connect (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

145

Model documentation renewable fuels module of the National Energy Modeling System  

SciTech Connect (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

146

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 (OSTI)

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

147

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

E-Print Network [OSTI]

COGENERATION IN CANADA by Nicholas J. Rivers B.Eng., Memorial University of Newfoundland, 2000 RESEARCH PROJECT: Behavioural realism in a technology explicit energy-economy model: The adoption of industrial cogeneration the results. The model showed that industrial cogeneration is a relatively unknown technology to many firms

148

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

149

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

SciTech Connect (OSTI)

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.

NONE

1997-12-18T23:59:59.000Z

150

Materials and process engineering projects for the Sandia National Laboratories/Newly Independent States Industrial Partnering Program. Volume 1  

SciTech Connect (OSTI)

In July, 1994, a team of materials specialists from Sandia and U S 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

151

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

SciTech Connect (OSTI)

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

152

National resources for development -- a suggested decision model  

E-Print Network [OSTI]

that is relevant to the nations of the third world in following the path of national development. Schumpeter's develop- ment theory revolves around the idea of a stationary, established system being altered from its course of the circular flow of economic life... relations are directed toward that goal. Secondly, as implied by Norgenthau, a primary source of a nation's power is its relative level of development. Third, despite the di? chotomy in the literature on political and economic de- velopment, power as a...

Henry, Sam Sherrill

1973-01-01T23:59:59.000Z

153

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

SciTech Connect (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. 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

154

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

SciTech Connect (OSTI)

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

155

Evaluating indoor exposure modeling alternatives for LCA: A case study in the vehicle repair industry  

SciTech Connect (OSTI)

We evaluated three exposure models with data obtained from measurements among workers who use"aerosol" solvent products in the vehicle repair industry and with field experiments using these products to simulate the same exposure conditions. The three exposure models were the: 1) homogeneously-mixed-one-box model, 2) multi-zone model, and 3) eddy-diffusion model. Temporally differentiated real-time breathing zone volatile organic compound (VOC) concentration measurements, integrated far-field area samples, and simulated experiments were used in estimating parameters, such as emission rates, diffusivity, and near-field dimensions. We assessed differences in model input requirements and their efficacy for predictive modeling. The One-box model was not able to resemble the temporal profile of exposure concentrations, but it performed well concerning time-weighted exposure over extended time periods. However, this model required an adjustment for spatial concentration gradients. Multi-zone models and diffusion-models may solve this problem. However, we found that the reliable use of both these models requires extensive field data to appropriately define pivotal parameters such as diffusivity or near-field dimensions. We conclude that it is difficult to apply these models for predicting VOC exposures in the workplace. However, for comparative exposure scenarios in life-cycle assessment they may be useful.

Demou, Evangelia; Hellweg, Stefanie; Wilson, Michael P.; Hammond, S. Katharine; McKone, Thomas E.

2009-05-01T23:59:59.000Z

156

2007), “What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns,” Working Paper 13068, National Bureau of Economic Research  

E-Print Network [OSTI]

paper was conducted while the authors were Special Sworn Status researchers of the U.S. Census Bureau at the Boston Census Research Data Center (BRDC). Support for this research from NSF grant (ITR-0427889) is gratefully acknowledged. Research results and conclusions expressed are our own and do not necessarily reflect the views of the Census Bureau or NSF. This paper has been Many industries are geographically concentrated. Many mechanisms that could account for such agglomeration have been proposed. We note that these theories make different predictions about which pairs of industries should be coagglomerated. We discuss the measurement of coagglomeration and use data from the Census Bureau’s Longitudinal Research Database from 1972 to 1997 to compute pairwise coagglomeration measurements for U.S. manufacturing industries. Industry attributes are used to construct measures of the relevance of each of Marshall’s three theories of industry agglomeration to each industry pair: (1) agglomeration saves transport costs by proximity to input suppliers or final consumers, (2) agglomeration allows for labor market pooling, and (3) agglomeration facilitates intellectual spillovers. We assess the importance of the theories via regressions

Glenn Ellison; Edward L. Glaeser; William Kerr; Keith Maskus; Debbie Smeaton For Comments

157

Geospatial Science and Technology for Bioenergy Modeling the Sustainability of the National Bioenergy Infrastructure  

E-Print Network [OSTI]

Geospatial Science and Technology for Bioenergy Modeling the Sustainability of the National. The bioenergy supply chain, from crop to customer, is a spatiotemporal process, and geospatial science provides. This includes geospatially integrated modeling to assess feedstock production, feedstock transportation

158

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

SciTech Connect (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

159

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

SciTech Connect (OSTI)

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

160

Long-term Industrial Energy Forecasting (LIEF) model (18-sector version)  

SciTech Connect (OSTI)

The new 18-sector Long-term Industrial Energy Forecasting (LIEF) model is designed for convenient study of future industrial energy consumption, taking into account the composition of production, energy prices, and certain kinds of policy initiatives. Electricity and aggregate fossil fuels are modeled. Changes in energy intensity in each sector are driven by autonomous technological improvement (price-independent trend), the opportunity for energy-price-sensitive improvements, energy price expectations, and investment behavior. Although this decision-making framework involves more variables than the simplest econometric models, it enables direct comparison of an econometric approach with conservation supply curves from detailed engineering analysis. It also permits explicit consideration of a variety of policy approaches other than price manipulation. The model is tested in terms of historical data for nine manufacturing sectors, and parameters are determined for forecasting purposes. Relatively uniform and satisfactory parameters are obtained from this analysis. In this report, LIEF is also applied to create base-case and demand-side management scenarios to briefly illustrate modeling procedures and outputs.

Ross, M.H. (Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Physics); Thimmapuram, P.; Fisher, R.E.; Maciorowski, W. (Argonne National Lab., IL (United States))

1993-05-01T23:59:59.000Z

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.


161

NNSA's National Laboratories Engage in Climate Modeling, Data Gathering |  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNational Nuclearhas 'Natitude' | National NuclearAdministrator forNational Nuclear

162

Prediction of the Tool Displacement by Coupled Models of the Compliant Industrial Robot and the Milling Process  

E-Print Network [OSTI]

Prediction of the Tool Displacement by Coupled Models of the Compliant Industrial Robot@sim.tu-darmstadt.de Abstract Using an industrial robot for machining parts provides a cost-saving and flexible alternative Interaction, Milling Process, Robot Structure 1 INTRODUCTION The major field of cutting applications

Stryk, Oskar von

163

China Urban Pollution Information Disclosure Study (CUPIDS) : socioeconomic implications of dirty industry and a guide to national cleandustrialization  

E-Print Network [OSTI]

It is now common knowledge that China's data is bad, and China's environment is polluted. In this paper I develop a simple pollution intensity index to test China's existing national and local environmental data, to answer ...

Chu, Yang, M.C.P. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

164

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

SciTech Connect (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 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

165

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

SciTech Connect (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

166

Sandia National Laboratories: 2013 PV Performance Modeling Workshop  

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

Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

167

Sandia National Laboratories: Tutorial on PV System Modeling  

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

Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...

168

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

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

Data Science Modeling and Simulation Multimodal Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging MAUI: Modeling, Analysis, and Ultrafast Imaging Project Goals...

169

National policy dialogue on state and federal regulation of the electricity industry - staff report on a Keystone policy dialogue  

SciTech Connect (OSTI)

For over two years, The Keystone Center facilitated a dialogue on State and Federal Regulation of the Electricity Industry. The intent of this report is to assist policy-makers faced with decisions about changes to traditional utility regulation and planning and provide an overview of a diverse group`s deliberations on regulatory jurisdictional conflicts. This report is not a consensus document, rather it is a staff written summary of two years of discussion on the issues. The participants in the Keystone Dialogue believed that all affected interests could benefit from, if nothing else, a summary of their discussions of state/federal issues. The electric utility industry is one of the last remaining, heavily regulated industries in the United States. Rate and corporate regulation is split between state and federal governments and there is distinct regulatory authority at each level. For example, retail rate regulation occurs at the state level, the Federal Energy Regulatory Commission is responsible for wholesale rate regulation under the Federal Power Act, and the Securities and Exchange Commission oversees registered utility holding companies as defined under the Public Utility Holding Company Act of 1935. This jurisdictional split between state and federal regulation has evolved over many years through legislation and litigation on such matters. The creation of this allocation of regulatory responsibility was initiated in 1935 with the passage of the Public Utility Holding Company Act and the Federal Power Act when the economic and technological changes that are now occurring in the industry simply could not have been envisioned.

NONE

1996-05-01T23:59:59.000Z

170

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

E-Print Network [OSTI]

-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...

Roop, J. M.

171

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

SciTech Connect (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. 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.

NONE

1997-02-01T23:59:59.000Z

172

NSC employees recognized as community role models | National Nuclear  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNational Nuclearhas 'Natitude' | National NuclearAdministrator|News

173

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

SciTech Connect (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

174

Climate Change Modeling and Downscaling Issues and Methodological Perspectives for the U.S. National Climate Assessment  

SciTech Connect (OSTI)

This is the full workshop report for the modeling workshop we did for the National Climate Assessment, with DOE support.

Janetos, Anthony C.; Collins, William D.; Wuebbles, D.J.; Diffenbaugh, Noah; Hayhoe, Katharine; Hibbard, Kathleen A.; Hurtt, George

2012-03-31T23:59:59.000Z

175

Sandia National Laboratories: Techno-Economic Modeling, Analysis...  

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

ProgramsTechno-Economic Modeling, Analysis, and Support Techno-Economic Modeling, Analysis, and Support This project provides subject-matter expertise in economic and technological...

176

Sandia National Laboratories: models of various levels of fidelity...  

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

Sandia received funding for its "Mechanistic Modeling Framework for Predicting Extreme Battery Response: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and...

177

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

SciTech Connect (OSTI)

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

178

The NOAA National Operational Model Archive and Distribution System -NOMADS  

E-Print Network [OSTI]

for access to real-time and retrospective high volume numerical weather prediction and climate models been on weather and reanalysis. Plans to support climate models and associated observational data a unified climate and weather model archive providing format independent access to retrospective models

179

Statistical modeling of spontaneous combustion in industrial-scale coal stockpiles  

SciTech Connect (OSTI)

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

180

The National Environmental Justice Advisory Committee (NEJAC) Model Plan  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of EnergyThe Energy Department Feeds11,Industrial Sector,T T H H E E N N

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

Sandia National Laboratories: Analysis, Modeling, Cost of Energy...  

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

ProgramsAnalysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 The "20% Wind Energy by...

182

National Strategic Unconventional Resource Model | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:DieselEnergyHydrogen Storage1,ServiceNational

183

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun JumpMuscoy,Jump9 CaseNatEl Jump to:NCPV JumpNational

184

Sandia National Laboratories: structural-dynamics modeling capability  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-activeNational Solar Thermalssls exhibitstructural-dynamics

185

Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems  

E-Print Network [OSTI]

Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems composed of people and machines using information, materials and energy to produce goods and services. Analyzing such systems with information-driven models is an essential step

Dyer, Bill

186

On the Use of Computational Models for Wave Climate Assessment in Support of the Wave Energy Industry  

E-Print Network [OSTI]

Effective, economic extraction of ocean wave energy requires an intimate under- standing of the ocean waveOn the Use of Computational Models for Wave Climate Assessment in Support of the Wave Energy On the Use of Computational Models for Wave Climate Assessment in Support of the Wave Energy Industry

Victoria, University of

187

Sandia National Laboratories: Sandians as Guest Editors of Modeling...  

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

that modeling and simulation can fundamentally advance improved materials development for battery applications. Energy storage materials and materials-related issues span a wide...

188

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

SciTech Connect (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 (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

189

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

E-Print Network [OSTI]

foods that many industry members felt were not compatible with organic agriculture, including ingredients made from genetically modified plants, irradiation

Haedicke, Michael Anthony

2008-01-01T23:59:59.000Z

190

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

SciTech Connect (OSTI)

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.

Not Available

1981-10-29T23:59:59.000Z

191

Model documentation renewable fuels module of the National Energy Modeling System  

SciTech Connect (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

192

Borla Performance Industries, Inc. | Department of Energy  

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

Borla Performance Industries, Inc. America's Next Top Energy Innovator Challenge 1830 likes Borla Performance Industries, Inc. Oak Ridge National Laboratory Borla Performance...

193

Sandia National Laboratories: Upper Rio Grande Simulation Model...  

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

Energy-Water Planning Upper Rio Grande Simulation Model (URGSiM) Contact Jesse Roach jdroach@sandia.gov (505) 284-9367 Last Updated: April 23, 2012 Go To Top ...

194

Utrecht University Academic Integrity Complaints Procedure This complaints procedure follows the national Model Complaints Procedure Academic  

E-Print Network [OSTI]

integrity or its researchers and guarantees it will investigate all well-founded suspicions of misconduct1 Utrecht University Academic Integrity Complaints Procedure This complaints procedure follows the national Model Complaints Procedure Academic Integrity of the joint Dutch universities. The model

Utrecht, Universiteit

195

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

SciTech Connect (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

196

A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 Framework to Cope with Organizational Reuse Maturity  

E-Print Network [OSTI]

A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 in industrial engineering for solution providers is more and more recognized as a key to economic success for reuse in industrial engineering. Based on an overview and the background of the GDES-Reuse improvement

Mössenböck, Hanspeter

197

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

SciTech Connect (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

198

Review: Manufacturing National Park Nature  

E-Print Network [OSTI]

the Wilderness Industry of Jasper By J. Keri Cronin Reviewedthe Wilderness Industry of Jasper. Vancouver, BC: UBC Press,how photographic images of Jasper National Park in Alberta,

Mason, Fred

2012-01-01T23:59:59.000Z

199

Argonne National Laboratory Smart Grid Technology Interactive Model  

SciTech Connect (OSTI)

As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid to not only handle the new load, but make electricity cheap and efficient for everyone? Argonne engineer Ted Bohn explains a model of a "smart grid" that gives consumers the power to choose their own prices and sources of electricity.

Ted Bohn

2009-10-13T23:59:59.000Z

200

Argonne National Laboratory Smart Grid Technology Interactive Model  

ScienceCinema (OSTI)

As our attention turns to new cars that run partially or completely on electricity, how can we redesign our electric grid to not only handle the new load, but make electricity cheap and efficient for everyone? Argonne engineer Ted Bohn explains a model of a "smart grid" that gives consumers the power to choose their own prices and sources of electricity.

Ted Bohn

2010-01-08T23:59:59.000Z

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

Financial constraints in capacity planning: a national utility regulatory model (NUREG). Volume II of III: user's guide. Final report  

SciTech Connect (OSTI)

This volume is a User's Guide to the National Utility Regulatory Model (NUREG) and its implementation of the National Coal Model. This is the second 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 provides a brief introduction to the National Utility Regulation Model, describes the various programs that comprise the National Utility Regulatory Model, gives sample input files, and provides information needed to run the model.

Not Available

1981-10-29T23:59:59.000Z

202

Lean supply chain in pharmaceutical industry : modeling and simulation of a SAP environment  

E-Print Network [OSTI]

The global pharmaceutical business environment has been rapidly changing and has more competitive. Competition in pharmaceutical industry extended far beyond the traditional battle field, research and development. Bayer ...

Hou, Billy

2011-01-01T23:59:59.000Z

203

An Embedded Boundary Method for the Modeling of Unsteady Combustion in an Industrial GasFired Furnace \\Lambda  

E-Print Network [OSTI]

for the convective, viscous, and radiative heat transport terms in the mixed cells, while a finite element [20] which accounts for species diffusion, convective and radiative heat transfer, viscous transportAn Embedded Boundary Method for the Modeling of Unsteady Combustion in an Industrial Gas

204

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

SciTech Connect (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

205

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

SciTech Connect (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

206

Dynamics of the UK Natural Gas Industry: System Dynamics Modelling and Long-Term Energy Policy Analysis  

E-Print Network [OSTI]

www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R N O N -T E C H N IC A L S U M M A R Y DYNAMICS OF THE UK NATURAL GAS INDUSTRY: SYSTEM DYNAMICS MODELLING AND LONG-TERM ENERGY POLICY ANALYSIS EPRG Working Paper 0913... Cambridge Working Paper in Economics 0922 Kong Chyong Chi , David M. Reiner and William J. Nuttall The UK offshore natural gas and oil industry has a long and successful history and has been said to represent the pride of UK...

Chi, K C; Reiner, David; Nuttall, William J

207

NEMS industrial module documentation report  

SciTech Connect (OSTI)

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.

Not Available

1994-01-01T23:59:59.000Z

208

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

SciTech Connect (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 Site’s 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 facility’s 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

209

2013 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site’s Advanced Test Reactor Complex Cold Waste Pond  

SciTech Connect (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 Site’s Advanced Test Reactor Complex Cold Waste Pond from November 1, 2012–October 31, 2013. 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 facility’s environmental impacts. During the 2013 permit year, approximately 238 million gallons of wastewater was 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 are below the Ground Water Quality Rule Secondary Constituent Standards in the down gradient monitoring wells.

Mike Lewis

2014-02-01T23:59:59.000Z

210

An extended model for measuring the technology transfer potentials at the industrial level.  

E-Print Network [OSTI]

??Technology contributes to the development of society and economy of the nation through the invention, diffusion, transfer, and application of new knowledge. In the emerging… (more)

Pachamuthu, Sathayanarayanan

2011-01-01T23:59:59.000Z

211

Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes  

E-Print Network [OSTI]

successfully applied to solve many optimization problems, the focus of both academia and industry on larger and more complicated problems requires further development of numerical algorithms which can provide improved computational efficiency. The primary...

Zhu, Yu

2011-08-08T23:59:59.000Z

212

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...

Viar, W. L.

1984-01-01T23:59:59.000Z

213

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

E-Print Network [OSTI]

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...

Keren, Nir

2004-09-30T23:59:59.000Z

214

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

215

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

SciTech Connect (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

216

Dynamics of Regulatory Change: How Globalization Affects National Regulatory Policies  

E-Print Network [OSTI]

by the international scrap metal industry and its national/73 The waste and scrap metal industries have been heavily

Vogel, David; Kagan, Robert A.

2002-01-01T23:59:59.000Z

217

Supporting Our Nation's Nuclear Industry  

ScienceCinema (OSTI)

On the 60th anniversary of the world's first nuclear power plant to produce electricity, Assistant Secretary for Nuclear Energy Peter Lyons discusses the Energy Department's and the Administration's commitment to promoting a nuclear renaissance in the United States.

Lyons, Peter

2013-05-29T23:59:59.000Z

218

Industrial Permit  

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

Protection Obeying Environmental Laws Industrial Permit Industrial Permit The Industrial Permit authorizes the Laboratory to discharge point-source effluents under the...

219

A National Offshore Wind Strategy: Creating an Offshore Wind...  

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

A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in...

220

CHP Modeling as a Tool for Electric Power Utilities to Understand Major Industrial Customers  

E-Print Network [OSTI]

for optimum rate design. REFERENCES 1. Kumana, J D and R Nath, "Demand Side Dispatching, Part 1 - A Novel Approach for Industrial Load Shaping Applications", IETC Proceedings (March 93) 2. R Nath, D A Cerget, and E T Henderson, "Demand Side... Dispatching, Part 2 - An Industrial Application", IETC Proceedings (March 93) 3. R Nath and J D Kumana, "NOx Dispatching in Plant Utility Systems using Existing Software Tools", IETC Proceedings (April 92) 4. R Nath, J D KUJIl3I13, and J F Holiday...

Kumana, J. D.; Alanis, F. J.; Swad, T.; Shah, J. V.

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

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

SciTech Connect (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

222

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

SciTech Connect (OSTI)

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

223

This document is a template memorandum of understanding ("MOU") between the National Institutes of Health ("NIH") and collaborating pharmaceutical companies in the NIH-Industry  

E-Print Network [OSTI]

of Health ("NIH") and collaborating pharmaceutical companies in the NIH-Industry Pilot Program: Discovering NCATS intends to work with experts in academia and the biotechnology and pharmaceutical industries the NIH and the specific collaborating pharmaceutical companies, this template MOU expresses the general

Bandettini, Peter A.

224

Model-based testing in the automotive industry challenges and solutions  

E-Print Network [OSTI]

Test specification System integration testing ­ model-based Test executionTest model Documentation... Requirements System integration testing ­ model-based SUT Sensors/busses Input interfaces Actors/busses Output interfaces #12;9 Overview 1. Model-based system integration testing 2. Integrating external models in the HW

Peleska, Jan - Fachbereich 3

225

Mobile robotics research at Sandia National Laboratories  

SciTech Connect (OSTI)

Sandia is a National Security Laboratory providing scientific and engineering solutions to meet national needs for both government and industry. As part of this mission, the Intelligent Systems and Robotics Center conducts research and development in robotics and intelligent machine technologies. An overview of Sandia`s mobile robotics research is provided. Recent achievements and future directions in the areas of coordinated mobile manipulation, small smart machines, world modeling, and special application robots are presented.

Morse, W.D.

1998-09-01T23:59:59.000Z

226

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

SciTech Connect (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

227

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

Liu, Y. A.

228

Customer service model for waste tracking at Los Alamos National Laboratory  

SciTech Connect (OSTI)

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

229

Industrial Conflict, Mass Demonstrations, and Economic and Political Change in Postwar France: An Econometric Model  

E-Print Network [OSTI]

Business Cycle: An Econometric Analysis. Oxford, Blackwell,in Postwar France: An Econometric Model Monique Borrel I.to political vagaries. The econometric model presented here

Borrel, Monique J

2004-01-01T23:59:59.000Z

230

Industrial Conflict, Mass Demonstrations, and Economic and Political Change in Postwar France: An Econometric Model  

E-Print Network [OSTI]

Business Cycle: An Econometric Analysis. Oxford, Blackwell,in Postwar France: An Econometric Model Monique Borrel I.to political vagaries. The econometric model presented here

Borrel, Monique J

2002-01-01T23:59:59.000Z

231

Geothermal: Sponsored by OSTI -- Industrial Sector Technology...  

Office of Scientific and Technical Information (OSTI)

Industrial Sector Technology Use Model (ISTUM): industrial energy use in the United States, 1974-2000. Volume 1. Primary model documentation. Final report...

232

Global Biogeochemistry Models and Global Carbon Cycle Research at Lawrence Livermore National Laboratory  

SciTech Connect (OSTI)

The climate modeling community has long envisioned an evolution from physical climate models to ''earth system'' models that include the effects of biology and chemistry, particularly those processes related to the global carbon cycle. The widely reproduced Box 3, Figure 1 from the 2001 IPCC Scientific Assessment schematically describes that evolution. The community generally accepts the premise that understanding and predicting global and regional climate change requires the inclusion of carbon cycle processes in models to fully simulate the feedbacks between the climate system and the carbon cycle. Moreover, models will ultimately be employed to predict atmospheric concentrations of CO{sub 2} and other greenhouse gases as a function of anthropogenic and natural processes, such as industrial emissions, terrestrial carbon fixation, sequestration, land use patterns, etc. Nevertheless, the development of coupled climate-carbon models with demonstrable quantitative skill will require a significant amount of effort and time to understand and validate their behavior at both the process level and as integrated systems. It is important to consider objectively whether the currently proposed strategies to develop and validate earth system models are optimal, or even sufficient, and whether alternative strategies should be pursued. Carbon-climate models are going to be complex, with the carbon cycle strongly interacting with many other components. Off-line process validation will be insufficient. As was found in coupled atmosphere-ocean GCMs, feedbacks between model components can amplify small errors and uncertainties in one process to produce large biases in the simulated climate. The persistent tropical western Pacific Ocean ''double ITCZ'' and upper troposphere ''cold pole'' problems are examples. Finding and fixing similar types of problems in coupled carbon-climate models especially will be difficult, given the lack of observations required for diagnosis and validation of biogeochemical processes.

Covey, C; Caldeira, K; Guilderson, T; Cameron-Smith, P; Govindasamy, B; Swanston, C; Wickett, M; Mirin, A; Bader, D

2005-05-27T23:59:59.000Z

233

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

SciTech Connect (OSTI)

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 China’s Copenhagen pledges varies across models and accounting methodologies.

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

2012-12-01T23:59:59.000Z

234

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

SciTech Connect (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

235

A Wildfire Behavior Modeling System at Los Alamos National Laboratory for Operational Applications  

SciTech Connect (OSTI)

To support efforts to protect facilities and property at Los Alamos National Laboratory from damages caused by wildfire, we completed a multiyear project to develop a system for modeling the behavior of wildfires in the Los Alamos region. This was accomplished by parameterizing the FARSITE wildfire behavior model with locally gathered data representing topography, fuels, and weather conditions from throughout the Los Alamos region. Detailed parameterization was made possible by an extensive monitoring network of permanent plots, weather towers, and other data collection facilities. We also incorporated a database of lightning strikes that can be used individually as repeatable ignition points or can be used as a group in Monte Carlo simulation exercises and in other randomization procedures. The assembled modeling system was subjected to sensitivity analyses and was validated against documented fires, including the Cerro Grande Fire. The resulting modeling system is a valuable tool for research and management. It also complements knowledge based on professional expertise and information gathered from other modeling technologies. However, the modeling system requires frequent updates of the input data layers to produce currently valid results, to adapt to changes in environmental conditions within the Los Alamos region, and to allow for the quick production of model outputs during emergency operations.

S.W. Koch; R.G.Balice

2004-11-01T23:59:59.000Z

236

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

237

National Grid (Electric)- Large Commercial Energy Efficiency Incentive Programs  

Broader source: Energy.gov [DOE]

National Grid offers electric energy efficiency programs for large commercial and industrial customers.

238

Contracting in the national interest: Establishing the legal framework for the interaction of science, government, and industry at a nuclear weapons laboratory  

SciTech Connect (OSTI)

Sandia National Laboratories, the nation's nuclear ordnance laboratory, is operated on a no-profit, no-fee basis by ATandT Technologies, Inc., as a prime contractor for the Department of Energy. This unique arrangement began in 1949 when President Harry Truman personally requested that ATandT assume management of the nuclear weapons laboratory as a service in the national interest. The story of how this unusual relationship came about makes for an interesting chapter in the annals of US legal and institutional history. This report describes the historical background, political negotiations, and prime contract provisos that established the legal framework for the Labs.

Furman, N.S.

1988-04-01T23:59:59.000Z

239

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

SciTech Connect (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.

NONE

1997-12-18T23:59:59.000Z

240

Modeling of the Sedimentary Interbedded Basalt Stratigraphy for the Idaho National Laboratory Probabilistic Seismic Hazard Analysis  

SciTech Connect (OSTI)

This report summarizes how the effects of the sedimentary interbedded basalt stratigraphy were modeled in the probabilistic seismic hazard analysis (PSHA) of the Idaho National Laboratory (INL). Drill holes indicate the bedrock beneath INL facilities is composed of about 1.1 km of alternating layers of basalt rock and loosely consolidated sediments. Alternating layers of hard rock and “soft” loose sediments tend to attenuate seismic energy greater than uniform rock due to scattering and damping. The INL PSHA incorporated the effects of the sedimentary interbedded basalt stratigraphy by developing site-specific shear (S) wave velocity profiles. The profiles were used in the PSHA to model the near-surface site response by developing site-specific stochastic attenuation relationships.

Suzette Payne

2007-08-01T23:59:59.000Z

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.


241

Improving baseline forecasts in a 500-industry dynamic CGE model of the USA.  

E-Print Network [OSTI]

??MONASH-style CGE models have been used to generate baseline forecasts illustrating how an economy is likely to evolve through time. One application of such forecasts… (more)

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

242

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect (OSTI)

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.

NONE

1997-02-01T23:59:59.000Z

243

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

244

Modeling Treatment Decisions, Costs, and Risk Implications of Regulations for the US Water Supply Industry  

E-Print Network [OSTI]

Modeling Treatment Decisions, Costs, and Risk Implications of Regulations for the US Water Supply, Carnegie Mellon University ABSTRACT Assessments of the impacts of proposed drinking water standards have. In this research, a new modeling framework is described for evaluating the impacts of multiple drinking water

de Weck, Olivier L.

245

THERMODYNAMIC MODELING AND EXPERIMENTAL INVESTIGATION OF BRAZED JOINTS USED IN AEROSPACE INDUSTRY  

E-Print Network [OSTI]

of these deleterious phases is transient liquid phase bonding (TLP), also known as diffusion brazing. The diffusion and experimental investigations. It was observed that the boron diffusion model and migrating solid were used as base metals; however, silicon diffusion model was more accurate for stainless steel base

Medraj, Mamoun

246

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 (OSTI)

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

247

Materials Characterization Laboratory (Fact Sheet), NREL (National...  

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

Materials Characterization Laboratory may include: * PEMFC industry * Certification laboratories * Universities * Other National laboratories Contact Us If you are interested in...

248

Phenotypic Database to Support Genomics Assessment of Beef Cattle The beef cattle industry is important to the national economy as well as that of Texas.  

E-Print Network [OSTI]

Phenotypic Database to Support Genomics Assessment of Beef Cattle The beef cattle industry will require the application of genomics and marker-assisted breeding. Extensive phenotypic information stored at ­80°C from a larger number (>500) of animals· for future genomic evalulation. Objectives

249

Historically, estuaries have been the focal point of extensive industrial activity for maritime nations. Similarly, it is well established that such marginal marine environments are particularly  

E-Print Network [OSTI]

- and sediment-based pollution. In future, these areas will be placed under enhanced environmental pressure. AllHistorically, estuaries have been the focal point of extensive industrial activity for maritime anthropogenic influences, such as: maritime transport (port construction, navigational dredging and dumping

Quartly, Graham

250

Structural model for the Al72Ni20Co8 decagonal quasicrystals National Renewable Energy Laboratory, Golden, Colorado 80401  

E-Print Network [OSTI]

Structural model for the Al72Ni20Co8 decagonal quasicrystals Yanfa Yan National Renewable Energy, Oak Ridge, Tennessee 37831 Received 15 February 2000 We propose a structure model for the Al72Ni20Co8 decagonal quasicrystals based on its 2 -inflated Al13Co4 approximant phase: Applying a 105 screw operation

Pennycook, Steve

251

Industry Motivated Advancements of Current Combustion Instability Model: The Conversion of  

E-Print Network [OSTI]

INSTABILITY CHARACTERISTICS IN GAS TURBINES ...................- 5 - 1.5. COMBUSTION INSTABILITYIndustry Motivated Advancements of Current Combustion Instability Model: The Conversion of Volume to thank Dr. Flandro. His eternal knowledge of Combustion Instability has resonated in this work and his

Flandro, Gary A.

252

Integrated Laboratory and Industry Research Project  

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

FMC Co. & Saft USA National lab PIs: Gao Liu, Vince Battaglia, Venkat Srinivasan (LBNL); Zhengcheng Zhang, Khalil Amine (ANL) Industrial point of contacts: Marina Yakovleva...

253

Webinar: Delivering Transformational HPC Solutions to Industry  

SciTech Connect (OSTI)

Dr. Frederick Streitz, director of the High Performance Computing Innovation Center, discusses Lawrence Livermore National Laboratory computational capabilities and expertise available to industry in this webinar.

Streitz, Frederick

2014-04-15T23:59:59.000Z

254

Webinar: Delivering Transformational HPC Solutions to Industry  

ScienceCinema (OSTI)

Dr. Frederick Streitz, director of the High Performance Computing Innovation Center, discusses Lawrence Livermore National Laboratory computational capabilities and expertise available to industry in this webinar.

Streitz, Frederick

2014-07-22T23:59:59.000Z

255

Making Industry Part of the Climate Solution  

SciTech Connect (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

256

Business models and strategies in the video game industry : an analysis of Activision-Blizzard and Electronic Arts  

E-Print Network [OSTI]

In recent years the video game industry has been of great importance in the business world beyond the role of a cultural medium. With its huge size and potential for more growth, the industry has attracted many newcomers. ...

Lee, Ruri

2013-01-01T23:59:59.000Z

257

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

SciTech Connect (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

258

EPRI's Industrial Energy Management Program  

E-Print Network [OSTI]

the Electric Power Research Institute has been establishing industry specific Centers and Offices nationwide to assist electric utilities and their customers in managing for a better use of energy. Hundreds of joint industry/utility projects... services thus supporting national objectives for a clean environment and a strong economic future. The Electric Power Research Institute (EPRI) recognizes that the management of energy use and the environmental impacts of industrial activity...

Mergens, E.; Niday, L.

259

Pervasive Multiscale Modeling, Analysis, and Mathematics and Computer Science Division, Argonne National Laboratory  

E-Print Network [OSTI]

Division, Argonne National Laboratory MathGeo, Princeton, 2012-10-02 #12;Motivation Nature has many spatial

260

An interregional trade flow model for the Texas feed grain industry  

E-Print Network [OSTI]

of Feedyards 52 '12 10 Percent of Total 24 10 P4 18 VI VII Rei'er to Figure 7 (page 21 }. CHAPTER IV MODEL IMPLEMENTATION The volumes of grain that were used to derive the matrices present- ed in this chapter were obtained from the surveys... 64 REG I IV 2820 2452 624 59872 3652 1385 48 0 N V 907 921 520 1269 93768 339 144 VI 520 241 514 167 29 44246 92 VI I 3004 15655 1233 2591 6/1 2081 7635 Sum of Re)as ( a ) 206?07 86152 22092 68038 s)81 Bc I) R...

Knudson, Lawrence Bruce

1976-01-01T23:59:59.000Z

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.


261

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

SciTech Connect (OSTI)

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/CRN’s 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

262

Policies on Japan's Space Industry  

E-Print Network [OSTI]

as a strategic industry Practical space use in National Security Diplomacy ...etc Policy Administrative Structure on the Basic Space Law legislated in 2008. 1. The government sets space policy as a national strategy utilization environment Develop new markets with small size satellites and rockets Promote the serialization

263

Perspectives on the National  

E-Print Network [OSTI]

Perspectives on the National Electrical Code ® John Wiles Sponsored by the Photovoltaic Systems systems. Representatives from the photovoltaic (PV) industry, academic institutions, the inspector requirements does not guarantee high levels of performance, higher performance and reliability frequently

Johnson, Eric E.

264

National Center Standardsfor  

E-Print Network [OSTI]

American Free Trade Agreement (NAFTA) International Organization for Standardization Information Network and exports Standards organizations, experts, and publications NCSCI helps you with these tools . . . Full texts of standards Indexes to millions of industry, national, regional, and international standards U

265

Comparison of Software Models for Energy Savings from Cool Roofs Joshua New, Oak Ridge National Laboratory (United States)  

E-Print Network [OSTI]

Comparison of Software Models for Energy Savings from Cool Roofs Joshua New, Oak Ridge National consolidates comparison of RSC's projected energy savings to other simulation engines including DOE-2.1E, Attic of the Department of Energy's (DOE) Building Technologies Office (BTO). The simulation engine used in the RSC

Tennessee, University of

266

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

Boyer, Edmond

267

Bayesian models for elevated disease risk due to exposure to uranium mine and mill waste on the Navajo Nation  

E-Print Network [OSTI]

ForReview Only Bayesian models for elevated disease risk due to exposure to uranium mine and mill of Pharmacy, Community Environmental Health Program Keywords: abandoned uranium mines, conditionally specified to ex- posure to uranium mine and mill waste on the Navajo Nation Glenn A. Stark University of New

Huerta, Gabriel

268

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

SciTech Connect (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

269

NREL and Industry Advance Low-Cost Solar Water Heating R&D (Fact Sheet), NREL Highlights in Research & Development, NREL (National Renewable Energy Laboratory)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two yearsNPResults giveSimulatorand Rhotech

270

24th European Photovoltaic Solar Energy Conference, Hamburg, Germany, Sept. 2009 HIGLY PREDICTIVE MODELLING OF ENTIRE SI SOLAR CELLS FOR INDUSTRIAL APPLICATIONS  

E-Print Network [OSTI]

On leave from: Institute for Solar Energy Systems, Sun Yat-Sen University, 510006, Guangzhou, China24th European Photovoltaic Solar Energy Conference, Hamburg, Germany, Sept. 2009 1 HIGLY PREDICTIVE MODELLING OF ENTIRE SI SOLAR CELLS FOR INDUSTRIAL APPLICATIONS P.P. Altermatt,1,2 S. Steingrube,1,2 Y. Yang

271

ACEEE Summer Study on Energy in Industry, West Point, NY, July 19-22. 1 Modeling and Simulation of Air Compressor Energy Use  

E-Print Network [OSTI]

compressor energy use to estimate energy savings in compressed air systems from air use reduction and other pressure, and for modeling the change in system pressure as function of compressed air storage volume assessments of mid-sized industries, we found that the average unit energy cost of compressed air ranges from

Kissock, Kelly

272

Libyan oil industry  

SciTech Connect (OSTI)

Three aspects of the growth and progress of Libya's oil industry since the first crude oil discovery in 1961 are: (1) relations between the Libyan government and the concessionary oil companies; (2) the impact of Libyan oil and events in Libya on the petroleum markets of Europe and the world; and (3) the response of the Libyan economy to the development of its oil industry. The historical review begins with Libya's becoming a sovereign nation in 1951 and traces its subsequent development into a position as a leading world oil producer. 54 references, 10 figures, 55 tables.

Waddams, F.C.

1980-01-01T23:59:59.000Z

273

Site-specific solar resource measurements for industrial solar applications  

SciTech Connect (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

274

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

SciTech Connect (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

275

An Investigation Into Bayesian Networks for Modeling National Ignition Facility Capsule Implosions  

SciTech Connect (OSTI)

Bayesian networks (BN) are an excellent tool for modeling uncertainties in systems with several interdependent variables. A BN is a directed acyclic graph, and consists of a structure, or the set of directional links between variables that depend on other variables, and conditional probabilities (CP) for each variable. In this project, we apply BN's to understand uncertainties in NIF ignition experiments. One can represent various physical properties of National Ignition Facility (NIF) capsule implosions as variables in a BN. A dataset containing simulations of NIF capsule implosions was provided. The dataset was generated from a radiation hydrodynamics code, and it contained 120 simulations of 16 variables. Relevant knowledge about the physics of NIF capsule implosions and greedy search algorithms were used to search for hypothetical structures for a BN. Our preliminary results found 6 links between variables in the dataset. However, we thought there should have been more links between the dataset variables based on the physics of NIF capsule implosions. Important reasons for the paucity of links are the relatively small size of the dataset, and the sampling of the values for dataset variables. Another factor that might have caused the paucity of links is the fact that in the dataset, 20% of the simulations represented successful fusion, and 80% didn't, (simulations of unsuccessful fusion are useful for measuring certain diagnostics) which skewed the distributions of several variables, and possibly reduced the number of links. Nevertheless, by illustrating the interdependencies and conditional probabilities of several parameters and diagnostics, an accurate and complete BN built from an appropriate simulation set would provide uncertainty quantification for NIF capsule implosions.

Mitrani, J

2008-08-18T23:59:59.000Z

276

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 technology decision. A survey of 259 industrial firms in Canada was administered in 2002 and a discrete

277

Industry Research and Recommendations for New Commercial Buildings  

SciTech Connect (OSTI)

Researchers evaluated industry needs and developed logic models to support possible future commercial new construction research and deployment efforts that could be led or supported by DOE's Commercial Building Integration program or other national initiatives. The authors believe that these recommendations support a proposed course of action from the current state of commercial building energy efficiency to a possible long-term goal of achieving significant market penetration of cost-effective NZE buildings in all building sectors and climates by 2030.

Hendron, B.; Leach, M.; Gregory, N.; Pless, S.; Selkowitz, S.; Matthew, P.

2014-05-01T23:59:59.000Z

278

National Agenda for Hydrogen Codes and Standards  

SciTech Connect (OSTI)

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

279

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

SciTech Connect (OSTI)

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

280

MOU signed between CIAE and Jefferson National Lab, USA. (China...  

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

www.jlab.orgnewsarticlesmou-signed-between-ciae-and-jefferson-national-lab-usa-china-nuclear-industry-news-ge... MOU signed between CIAE and Jefferson National Lab, USA....

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

Energy Department to Work with National Association of Manufacturers...  

Office of Environmental Management (EM)

to Work with National Association of Manufacturers to Increase Industrial Energy Efficiency Energy Department to Work with National Association of Manufacturers to Increase...

282

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

SciTech Connect (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

283

Modeling foreign economic policy in strategic setting: the automotive industry of the U.S. and Japan  

E-Print Network [OSTI]

. For this study, I examined a specific case study in which the U.S. was in a dispute with a foreign country and how the U.S. dealt with the situation. This particular dispute spans a timeline of 15 years and involves the automotive industry of Japan and the U...

Au-Young, Marie Lily

2013-02-22T23:59:59.000Z

284

Modelling of two phase flow and application in industries CR/ARH | 20/12/2007 | Robert Bosch GmbH 2007. All rights reserved, also regarding any disposal, exploitation, reproduction, editing,  

E-Print Network [OSTI]

for industrial property rights. Modelling of cavitating flow Control volume liquid Steam and air bubbles Volume, editing, distribution, as well as in the event of applications for industrial property rights. Surface tension Mechanical equilibrium Pressure inside the bubble leads to delay of evaporation and condensation

Helluy, Philippe

285

Industrial Geospatial Analysis Tool for Energy Evaluation  

E-Print Network [OSTI]

Industrial Geospatial Analysis Tool for Energy Evaluation- IGATE-E Nasr Alkadi, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Michael Starke, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Ookie Ma, Scientist, US Department... of Energy, Washington, DC Sachin Nimbalkar, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Daryl Cox, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Kevin Dowling, Student Researcher, University of Tennessee, Knoxville, TN Brendon...

Alkadi, N.; Starke, M.; Ma, O.; Nimbalkar, S.; Cox, D.; Dowling, K.; Johnson, B.; Khan, S.

2013-01-01T23:59:59.000Z

286

Petroleum industry in Iran  

SciTech Connect (OSTI)

This study examines the oil industry in Iran from the early discovery of oil nearly two hundred years ago in Mazandaran (north part) to the development of a giant modern industry in the twentieth century. Chapter I presents a brief historical setting to introduce the reader to the importance of oil in Iran. It focuses on the economic implications of the early oil concessions in the period 1901 to 1951. Chapter II discusses the nationalization of the Iranian oil industry and creation of NIOC in 1951 and the international political and economic implication of these activities. Chapter III explains the activities of NIOC in Iran. Exploration and drilling, production, exports, refineries, natural gas, petrochemicals and internal distributions are studied. Chapter IV discusses the role of the development planning of Iran. A brief presentation of the First Development Plan through the Fifth Development Plan is given. Sources and uses of funds by plan organization during these Five Plans is studied. The Iran and Iraq War is also studied briefly, but the uncertainty of its resolution prevents any close analysis of its impact on the Iranian oil industry. One conclusion, however, is certain; oil has been a vital resource in Iran's past and it will remain the lifetime of its economic development in the future.

Farideh, A.

1981-01-01T23:59:59.000Z

287

Coal industry annual 1997  

SciTech Connect (OSTI)

Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

NONE

1998-12-01T23:59:59.000Z

288

Section 1603 Treasury Grant Expiration: Industry Insight on Financing...  

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

1603 Treasury Grant Expiration: Industry Insight on Financing and Market Implications Michael Mendelsohn National Renewable Energy Laboratory John Harper Birch Tree Capital, LLC...

289

Integrated Lab/Industry Research Project at LBNL  

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

Integrated LabIndustry Research Project at LBNL Jordi Cabana Lawrence Berkeley National Laboratory May 12 th , 2011 ES102 This presentation does not contain any proprietary,...

290

Industry Leaders, Research Experts Gather for Second Annual DOE...  

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

behind a podium, with the American flag on the right. Technology leaders from industry, research institutions, universities, and national laboratories gathered in San...

291

Industrial ecology Prosperity Game{trademark}  

SciTech Connect (OSTI)

Industrial ecology (IE) is an emerging scientific field that views industrial activities and the environment as an interactive whole. The IE approach simultaneously optimizes activities with respect to cost, performance, and environmental impact. Industrial Ecology provides a dynamic systems-based framework that enables management of human activity on a sustainable basis by: minimizing energy and materials usage; insuring acceptable quality of life for people; minimizing the ecological impact of human activity to levels that natural systems can sustain; and maintaining the economic viability of systems for industry, trade and commerce. Industrial ecology applies systems science to industrial systems, defining the system boundary to incorporate the natural world. Its overall goal is to optimize industrial activities within the constraints imposed by ecological viability, globally and locally. In this context, Industrial systems applies not just to private sector manufacturing and services but also to government operations, including provision of infrastructure. Sandia conducted its seventeenth Prosperity Game{trademark} on May 23--25, 1997, at the Hyatt Dulles Hotel in Herndon, Virginia. The primary sponsors of the event were Sandia National Laboratories and Los Alamos National Laboratory, who were interested in using the format of a Prosperity Game to address some of the issues surrounding Industrial Ecology. Honorary game sponsors were: The National Science Foundation; the Committee on Environmental Improvement, American Chemical Society; the Industrial and Engineering Chemistry Division, American Chemical Society; the US EPA--The Smart Growth Network, Office of Policy Development; and the US DOE-Center of Excellence for Sustainable Development.

Beck, D.; Boyack, K.; Berman, M.

1998-03-01T23:59:59.000Z

292

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

SciTech Connect (OSTI)

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

293

A National Perspective on Energy and Industry  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β-Research andAFishing forAAEIA's Energy

294

Sandia National Laboratories: CSP Industry Links  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducation Programs:CRF Researchers answer Alan Alda's FlameImages

295

Industrial & Manufacturing Processes | Argonne National Laboratory  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningto

296

Sandia National Laboratories: industrial water use  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbine blade manufacturing the viabilityindium tin oxideindustrial

297

2008 Industrial Technologies Market Report, May 2009  

SciTech Connect (OSTI)

The industrial sector is a critical component of the U.S. economy, providing an array of consumer, transportation, and national defense-related goods we rely on every day. Unlike many other economic sectors, however, the industrial sector must compete globally for raw materials, production, and sales. Though our homes, stores, hospitals, and vehicles are located within our borders, elements of our goods-producing industries could potentially be moved offshore. Keeping U.S. industry competitive is essential to maintaining and growing the U.S. economy. This report begins with an overview of trends in industrial sector energy use. The next section of the report focuses on some of the largest and most energy-intensive industrial subsectors. The report also highlights several emerging technologies that could transform key segments of industry. Finally, the report presents policies, incentives, and drivers that can influence the competitiveness of U.S. industrial firms.

Energetics; DOE

2009-07-01T23:59:59.000Z

298

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

SciTech Connect (OSTI)

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

299

Reflections on relationships between national and world events and development of dermatology. Venezuela as a model  

E-Print Network [OSTI]

development of dermatology. Venezuela as a model MauricioVargas School of Medicine, Central University of Venezuela,Caracas Venezuela. ABSTRACT From a personal vantage, the

Goihman-Yahr, Mauricio

2013-01-01T23:59:59.000Z

300

Cyclical dynamics of airline industry earnings  

E-Print Network [OSTI]

Aggregate airline industry earnings have exhibited large-amplitude cyclical behavior since deregulation in 1978. To explore the causes of these cycles we develop a behavioral dynamic model of the airline industry with ...

Pierson, Kawika

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

Materials needs and opportunities in the pulp and paper industry  

SciTech Connect (OSTI)

The Department of Energy`s (DOE) Office of Industrial Technologies (OIT) supports research and development (R&D) in industry, the DOE national laboratories, and in universities to develop energy efficient, environmentally-acceptable industrial technologies. The Office of Industrial Technologies is working with seven energy-intensive industries to develop R&D roadmaps that will facilitate cooperative government-industry efforts to achieve energy-efficient, environmentally-acceptable, sustainable industries of the future. The forest products industry is one of the industries with which OIT is working to develop an R&D roadmap. The Advanced Industrial Materials (AIM) Program of the Office of Industrial Technologies sponsors long-term, directed research on materials that will enable industry to develop and utilize more energy-efficient, sustainable processes and technologies. The purpose of the study described in this report was to identify the material R&D needs and opportunities for the pulp and paper mill of the future.

Angelini, P. [comp.

1995-08-01T23:59:59.000Z

302

DARPA's HPCS Program: History, Models, Tools, Languages Jack Dongarra, University of Tennessee and Oak Ridge National Lab  

E-Print Network [OSTI]

of Tennessee and Oak Ridge National Lab Robert Graybill, USC Information Sciences Institute William Harrod, University of California ­ San Diego Jeffery Vetter, Oak Ridge National Laboratory Katherine Yelick, Lawrence Berkeley National Laboratory Sadaf Alam, Oak Ridge National Laboratory Roy Campbell, Army Research

Dongarra, Jack

303

Asymmetric directly driven capsule implosions: Modeling and experiments-A requirement for the National Ignition Facility  

SciTech Connect (OSTI)

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

304

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 2 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 2: Deterministic Models Preliminaries

Nagi, Rakesh

305

Industrial Users  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningtoA Journey Inside the Complex andIndustrial

306

Industry Economists  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningtoA Journey Inside the ComplexIndustry

307

Industry @ ALS  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area.Portaldefault Sign In AboutIn theIndustry @ ALS

308

National Laboratory Contacts  

Broader source: Energy.gov [DOE]

Several of the U.S. Department of Energy (DOE) national laboratories host multidisciplinary transportation research centers. A wide-range of cutting-edge transportation research occurs at these facilities, funded by both DOE and cooperative research and development agreements (CRADAs) with industry

309

Office of Industrial Technologies research in progress  

SciTech Connect (OSTI)

The US Department of Energy (DOE) Office of Industrial Technologies (OIT) conducts research and development activities which focus on improving energy efficiency and providing for fuel flexibility within US industry in the area of industrial conservation. The mission of OIT is to increase the utilization of existing energy-efficient equipment and to find and promote new, cost-effective ways for industrial facilities to improve their energy efficiency and minimize waste products. To ensure advancement of the technological leadership of the United States and to improve the competitiveness of American industrial products in world markets, OIT works closely with industrial partners, the staffs of the national laboratories, and universities to identify research and development needs and to solve technological challenges. This report contains summaries of the currently active projects supported by the Office of Industrial Technologies.

Not Available

1993-05-01T23:59:59.000Z

310

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

SciTech Connect (OSTI)

Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. With the working of energy programs and policies on carbon regulation, how to effectively analyze and manage the costs associated with GHG reductions become 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 (e.g., carbon emission) 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. In this report, we first conduct brief overview on different representations of end-use technologies (mitigation measures) in various energy-climate models, followed by problem statements, and a description of the basic concepts of quantifying the cost of conserved energy including integrating non-regrets options. A non-regrets option is defined as a GHG reduction option that is cost effective, without considering their additional benefits related to reducing GHG emissions. Based upon these, we develop information on costs of mitigation measures and technological change. These serve as the basis for collating the data on energy savings and costs for their future use in integrated assessment models. In addition to descriptions of the iron and steel making processes, and the mitigation measures identified in this study, the report includes tabulated databases on costs of measure implementation, energy savings, carbon-emission reduction, and lifetimes. The cost curve data on mitigation measures are available over time, which allows an estimation of technological change over a decade-long historical period. In particular, the report will describe new treatment of technological change in energy-climate modeling for this industry sector, i.e., assessing the changes in costs and energy-savings potentials via comparing 1994 and 2002 conservation supply curves. In this study, we compared the same set of mitigation measures for both 1994 and 2002 -- no additional mitigation measure for year 2002 was included due to unavailability of such data. Therefore, the estimated potentials in total energy savings and carbon reduction would most likely be more conservative for year 2002 in this study. Based upon the cost curves, the rate of change in the savings potential at a given cost can be evaluated and be used to estimate future rates of change that can be the input for energy-climate models. Through characterizing energy-efficiency technology costs and improvement potentials, we have developed and presented energy cost curves for energy efficiency measures applicable to the U.S. iron and steel industry for the years 1994 and 2002. The cost curves can change significantly under various scenarios: the baseline year, discount rate, energy intensity, production, industry structure (e.g., integrated versus secondary steel making and number of plants), efficiency (or mitigation) measures, share of iron and steel production to which the individual measures can be applied, and inclusion of other non-energy benefits. Inclusion of other non-energy benefits from implementing mitigation measures can reduce the costs of conserved energy significantly. In addition, costs of conserved energy (CCE) for individual mitigation measures increase with the increases in discount rates, resulting in a general increase in total cost of mitigation measures for implementation and operation with a higher discount rate. In 1994, integrated steel mills in the U.S. produced 55.

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

2010-09-30T23:59:59.000Z

311

Ames Lab Named an Industry Safety Leader  

ScienceCinema (OSTI)

The U.S. Department of Energy's Ames Laboratory has been named a 2010 Industry Leader Award winner by the National Safety Council. The Ames Laboratory was one of only 81 companies/organizations to receive the award for their safety performance and the only DOE national laboratory on the list. The award represents the top 5 percent of members that have qualified for the National Safety Council 2010 Occupational Excellence Achievement Award, based on 2009 calendar year data.

Wessels, Tom

2013-03-01T23:59:59.000Z

312

3426 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55, NO. 9, SEPTEMBER 2008 Modeling and Control of the Yaw Channel  

E-Print Network [OSTI]

the modeling and flight- control-system design for the yaw channel of an unmanned- aerial-vehicle (UAV and Control of the Yaw Channel of a UAV Helicopter Guowei Cai, Student Member, IEEE, Ben M. Chen, Fellow, IEEE found that the commonly used yaw dynamical model for the UAV helicopter proposed in the literature

Benmei, Chen

313

Researchers at the National Renewable Energy Laboratory (NREL) develop a new complex modeling and analysis tool  

E-Print Network [OSTI]

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 dynamic simulation tool will enable the development of cost-effective offshore technologies capable

314

China's industrial sector in an international context  

SciTech Connect (OSTI)

The industrial sector accounts for 40% of global energy use. In 1995, developing countries used an estimated 48 EJ for industrial production, over one-third of world total industrial primary energy use (Price et al., 1998). Industrial output and energy use in developing countries is dominated by China, India, and Brazil. China alone accounts for about 30 EJ (National Bureau of Statistics, 1999), or about 23% of world industrial energy use. China's industrial sector is extremely energy-intensive and accounted for almost 75% of the country's total energy use in 1997. Industrial energy use in China grew an average of 6.6% per year, from 14 EJ in 1985 to 30 EJ in 1997 (Sinton et al., 1996; National Bureau of Statistics, 1999). This growth is more than three times faster than the average growth that took place in the world during the past two decades. The industrial sector can be divided into light and heavy industry, reflecting the relative energy-intensity of the manufacturing processes. In China, about 80% of the energy used in the industrial sector is consumed by heavy industry. Of this, the largest energy-consuming industries are chemicals, ferrous metals, and building materials (Sinton et al., 1996). This paper presents the results of international comparisons of production levels and energy use in six energy-intensive subsectors: iron and steel, aluminum, cement, petroleum refining, ammonia, and ethylene. The sectoral analysis results indicate that energy requirements to produce a unit of raw material in China are often higher than industrialized countries for most of the products analyzed in this paper, reflecting a significant potential to continue to improve energy efficiency in heavy industry.

Price, Lynn; Worrell, Ernst; Martin, Nathan; Lehman, Bryan; Sinton, Jonathan

2000-05-01T23:59:59.000Z

315

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

316

Industry turns its attention south  

SciTech Connect (OSTI)

The paper discusses the outlook for the gas and oil industries in the Former Soviet Union and Eastern Europe. Significant foreign investment continues to elude Russia`s oil and gas industry, so the Caspian nations of Kazakhstan and Azerbaijan are picking up the slack, welcoming the flow of foreign capital to their energy projects. Separate evaluations are given for Russia, Azerbaijan, Kazakhstan, Turkmenistan, Ukraine, Armenia, Belarus, Georgia, Lithuania, Latvia, Estonia, Moldova, Tajikstan, Uzbekistan, Albania, Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania, Slovakia, Slovenia, and Serbia.

Marhefka, D. [Russian Petroleum Investor, Moscow (Russian Federation)

1997-08-01T23:59:59.000Z

317

The chemical industry, by country  

SciTech Connect (OSTI)

As part of its ACHEMA coverage, Hydrocarbon Processing contacted executives of petrochemical/chemical industry trade associations in 11 countries, seeking views of on the state of the industry. These reports thus provide an added dimension to feature articles in this issue that focus on petrochemical/chemical-product supply/demand trends, economic forecasts, etc. The nations represented here were chosen for commentary because collectively they contain most of the world's petrochemical capacity. Space limitations prohibit the publishing of commentaries from all countries that have petrochemical/chemical capacity. The countries are: Belgium, China, France, Germany, India, Italy, Japan, Korea, The Netherlands, United Kingdom, and the United States.

Not Available

1994-05-01T23:59:59.000Z

318

The development of an aquatic spill model for the White Oak Creek watershed, Oak Ridge National Laboratory, Oak Ridge, Tennessee  

SciTech Connect (OSTI)

This study develops an aquatic spill model applicable to the White Oak Creek watershed draining the Oak Ridge National Laboratory. Hazardous, toxic, and radioactive chemicals are handled and stored on the laboratory reservation. An accidental spill into the White Oak Creek watershed could contaminate downstream water supplies if insufficient dilution did not occur. White Oak Creek empties into the Clinch River, which flows into the Tennessee River. Both rivers serve as municipal water supplies. The aquatic spill model provides estimates of the dilution at sequential downstream locations along White Oak creek and the Clinch River after an accidental spill of a liquid containing a radioactively decaying constituent. The location of the spill on the laboratory is arbitrary, while hydrologic conditions range from drought to extreme flood are simulated. The aquatic spill model provides quantitative estimates with which to assess water quality downstream from the site of the accidental spill, allowing an informed decision to be made whether to perform mitigating measures so that the integrity of affected water supplies is not jeopardized.

Johnson, R.O.

1996-05-01T23:59:59.000Z

319

X-ray spectroscopic diagnostics and modeling of polar-drive implosion experiments on the National Ignition Facility  

SciTech Connect (OSTI)

A series of experiments featuring laser-imploded plastic-shell targets filled with hydrogen or deuterium were performed on the National Ignition Facility. The shells (some deuterated) were doped in selected locations with Cu, Ga, and Ge, whose spectroscopic signals (indicative of local plasma conditions) were collected with a time-integrated, 1-D imaging, spectrally resolved, and absolute-intensity calibrated instrument. The experimental spectra compare well with radiation hydrodynamics simulations post-processed with a non-local thermal equilibrium atomic kinetics and spectroscopic-quality radiation-transport model. The obtained degree of agreement between the modeling and experimental data supports the application of spectroscopic techniques for the determination of plasma conditions, which can ultimately lead to the validation of theoretical models for thermonuclear burn in the presence of mix. Furthermore, the use of a lower-Z dopant element (e.g., Fe) is suggested for future experiments, since the ?2?keV electron temperatures reached in mixed regions are not high enough to drive sufficient H-like Ge and Cu line emissions needed for spectroscopic plasma diagnostics.

Hakel, P., E-mail: hakel@lanl.gov; Kyrala, G. A.; Bradley, P. A.; Krasheninnikova, N. S.; Murphy, T. J.; Schmitt, M. J.; Tregillis, I. L.; Kanzleieter, R. J.; Batha, S. H.; Fontes, C. J.; Sherrill, M. E.; Kilcrease, D. P. [Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States); Regan, S. P. [Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623-1299 (United States)

2014-06-15T23:59:59.000Z

320

Transport parameter determination and modeling of sodium and strontium plumes at the Idaho National Engineering Laboratory  

E-Print Network [OSTI]

finite-element method to model a case of chromium contamination with some success. Bobcrtson, '1974~ used au iterative, alternating- direction. inrplicit finite-difference scheme to solve the groundwater flow equation and a. nrodified method... the location of the INEL and generalized groundwater flow lines of the Snake River Plain aquifer [from Barraclough et al. , 1981). . 12 3. Map showing the major facilities and surface water features at the INEL [from Robertson et al. , 1974]. 4. Volcanic...

Londergan, John Thomas

1987-01-01T23:59:59.000Z

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.


321

Engineering Industrial & Systems  

E-Print Network [OSTI]

Industrial Engineering Department of Industrial & Systems Engineering Leslie Monplaisir, Ph powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I is available at: http://ise.wayne.edu/bs-industrial/index What is Industrial Engineering? The industrial

Berdichevsky, Victor

322

A comparative study of Lotka-Volterra and system dynamics models for simulation of technology industry dynamics  

E-Print Network [OSTI]

Scholars have developed a range of qualitative and quantitative models for generalizing the dynamics of technological innovation and identifying patterns of competition between rivals. This thesis compares two predominant ...

Ünver, Hakk? Özgür

2008-01-01T23:59:59.000Z

323

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

E-Print Network [OSTI]

developers also market ‘fuzzy logic’ control systems, e.g. ,so- called 'fuzzy logic' or expert control, or rule-basedsystems or fuzzy logic is model-predictive control using

Sathaye, J.

2011-01-01T23:59:59.000Z

324

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

325

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

326

Extreme Conditions Modeling Workshop Report  

SciTech Connect (OSTI)

Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.

Coe, R. G.; Neary, V. S.; Lawson, M. J.; Yu, Y.; Weber, J.

2014-07-01T23:59:59.000Z

327

APPLICATION OF BAYESIAN AND GEOSTATISTICAL MODELING TO THE ENVIRONMENTAL MONITORING OF CS-137 AT THE IDAHO NATIONAL LABORATORY  

SciTech Connect (OSTI)

At the Idaho National Laboratory (INL) Cs-137 concentrations above the U.S. Environmental Protection Agency risk-based threshold of 0.23 pCi/g may increase the risk of human mortality due to cancer. As a leader in nuclear research, the INL has been conducting nuclear activities for decades. Elevated anthropogenic radionuclide levels including Cs-137 are a result of atmospheric weapons testing, the Chernobyl accident, and nuclear activities occurring at the INL site. Therefore environmental monitoring and long-term surveillance of Cs-137 is required to evaluate risk. However, due to the large land area involved, frequent and comprehensive monitoring is limited. Developing a spatial model that predicts Cs-137 concentrations at unsampled locations will enhance the spatial characterization of Cs-137 in surface soils, provide guidance for an efficient monitoring program, and pinpoint areas requiring mitigation strategies. The predictive model presented herein is based on applied geostatistics using a Bayesian analysis of environmental characteristics across the INL site, which provides kriging spatial maps of both Cs-137 estimates and prediction errors. Comparisons are presented of two different kriging methods, showing that the use of secondary information (i.e., environmental characteristics) can provide improved prediction performance in some areas of the INL site.

Kara G. Eby

2010-08-01T23:59:59.000Z

328

An Expert Elicitation Process in Support of Groundwater Model Evaluation for Frenchman Flat, Nevada National Security Site  

SciTech Connect (OSTI)

The U.S. Department of Energy is implementing corrective actions at facilities where nuclear-related operations were conducted in Nevada. Among the most significant sites being addressed are the locations of underground nuclear tests on the Nevada National Security Site (NNSS). The process for implementing corrective actions for the Underground Test Area (UGTA) locations is defined in Appendix VI of a Federal Facility Agreement and Consent Order (1996, as amended). In broad terms, Appendix VI describes a Corrective Action Investigation followed by a Corrective Action Decision, and implementation of a Corrective Action Plan prior to closure. The Frenchman Flat Corrective Action Unit (CAU) is farthest along in the UGTA corrective action process. It includes ten underground tests within the Frenchman Flat topographic basin, in the southeastern portion of the NNSS. Data have been collected from drilling exploration, hydrologic testing, and field and laboratory studies. Modeling has been completed at a variety of scales and focusing on a variety of flow and transport aspects ranging from regional boundary conditions to process dynamics within a single nuclear cavity. The culmination of the investigations is a transport model for the Frenchman Flat CAU (Stoller Navarro Joint Venture, 2009) that has undergone rigorous peer review and been accepted by the State of Nevada, setting the stage for the Corrective Action Decision and progression from the investigation phase to the corrective action phase of the project.

Chapman Jenny,Pohlmann Karl

2011-02-01T23:59:59.000Z

329

776 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 34, NO. 4, JULY/AUGUST 1998 Switched Reluctance Motor Modeling with  

E-Print Network [OSTI]

Department, General Motors Research and Development Center, Warren, MI 48090 USA. I. Husain and M. E. Elbuluk Reluctance Motor Modeling with On-Line Parameter Identification Sayeed Mir, Member, IEEE, Iqbal Husain-line parameter estimation using recursive identification for switched reluctance motors (SRM's) is presented

Husain, Iqbal

330

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55, NO. 4, APRIL 2008 1813 Models for Bearing Damage Detection in Induction  

E-Print Network [OSTI]

be supervised by measur- ing quantities such as noise, vibration, and temperature. The implementation Damage Detection in Induction Motors Using Stator Current Monitoring Martin Blödt, Member, IEEE, Pierre analytical model for the influence of rolling-element bearing faults on induction motor stator current

Boyer, Edmond

331

The chemical industry, by country  

SciTech Connect (OSTI)

Beijing will be the site for the third ACHEMASIA, international petrochemical and chemical exhibition and conference, May 15--20, 1995. In preparation for this conference, Hydrocarbon Processing contacted executives of petrochemical/chemical industries and trade associations, seeking views on the state of the industry. The Asia-Pacific region is the center of new construction and expanded capacity and also a mixture of mature, developing and emerging petrochemical industries. Established countries must mold and grow with emerging economies as the newcomers access natural resources and develop their own petrochemical infrastructures. The following nation reports focus on product supply/demand trends, economic forecasts, new construction, etc. Space limitations prohibit publishing commentaries from all countries that have petrochemical/chemical capacity. Reports are published from the following countries: Australia, China, Japan, Korea, Malaysia, Philippines, Thailand, and Vietnam.

Not Available

1995-03-01T23:59:59.000Z

332

National Center for Photovoltaics at NREL  

SciTech Connect (OSTI)

The National Center for Photovoltaics at the National Renewable Energy Laboratory (NREL) focuses on technology innovations that drive industry growth in U.S. photovoltaic (PV) manufacturing. The NCPV is a central resource for our nation's capabilities in PV research, development, deployment, and outreach.

VanSant, Kaitlyn; Wilson, Greg; Berry, Joseph; Al-Jassim, Mowafak; Kurtz, Sarah

2013-11-07T23:59:59.000Z

333

National Center for Photovoltaics at NREL  

ScienceCinema (OSTI)

The National Center for Photovoltaics at the National Renewable Energy Laboratory (NREL) focuses on technology innovations that drive industry growth in U.S. photovoltaic (PV) manufacturing. The NCPV is a central resource for our nation's capabilities in PV research, development, deployment, and outreach.

VanSant, Kaitlyn; Wilson, Greg; Berry, Joseph; Al-Jassim, Mowafak; Kurtz, Sarah

2014-06-10T23:59:59.000Z

334

Detailed Modeling of Industrial Energy Use and Greenhouse Gas Emissions in an Integrated Assessment Model of Long-term Global Change  

E-Print Network [OSTI]

in the manufacturing sector, about 26% is electricity, 58% is natural gas, 10% is coal (excluding coal coke and breeze) and the remainder is from liquid fuels. 1 AdaptedfromTableE6.4. EndUsesofFuelConsumption,1998(URL: ftp://ftp.eia.doe.gov/pub/consumption/industry/d98...FuelConsumptionbyEnd-UseforallMECSIndustries,1998,trillionBTU Electricity Liquid Fuels Natural Gas Coal (excluding Coal Cokeand Breeze) Total BoilerFuel 29 308 2,538 770 3,645 ProcessHeating 363 185 3,187 331 4,066 ProcessCoolingand Refrigeration 209 2 22 233 MachineDrive 1,881 25 99 7 2...

Sinha, P.; Wise, M.; Smith, S.

2006-01-01T23:59:59.000Z

335

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

E-Print Network [OSTI]

, and prices, and the technologies and market mechanisms that are likely to be employed to reduce CO2 emissions. The paper also reports on the results of analysis of GHG bills performed by SAIC using the National Energy Modeling System (NEMS). NEMS...

Ellsworth, C.

2008-01-01T23:59:59.000Z

336

The engineering institute of Los Alamos National Laboratory  

SciTech Connect (OSTI)

Los Alamos National Laboratory (LANL) and the University of California, San Diego (UCSD) have taken the unprecedented step of creating a collaborative, multi-disciplinary graduate education program and associated research agenda called the Engineering Institute. The mission of the Engineering Institute is to develop a comprehensive approach for conducting LANL mission-driven, multidisciplinary engineering research and to improve recruiting, revitalization, and retention of the current and future staff necessary to support the LANL' s national security responsibilities. The components of the Engineering Institute are (1) a joint LANL/UCSD degree program, (2) joint LANL/UCSD research projects, (3) the Los Alamos Dynamic Summer School, (4) an annual workshop, and (5) industry short courses. This program is a possible model for future industry/government interactions with university partners.

Farrar, Charles R [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Cornwell, Phillip J [Los Alamos National Laboratory; Todd, Michael D [UCSD

2008-01-01T23:59:59.000Z

337

Computational geomechanics & applications at Sandia National Laboratories.  

SciTech Connect (OSTI)

Sandia National Laboratories (SNL) is a multi-program national laboratory in the business of national security, whose primary mission is nuclear weapons (NW). It is a prime contractor to the USDOE, operating under the NNSA and is one of the three NW national laboratories. It has a long history of involvement in the area of geomechanics, starting with the some of the earliest weapons tests at Nevada. Projects in which geomechanics support (in general) and computational geomechanics support (in particular) are at the forefront at Sandia, range from those associated with civilian programs to those in the defense programs. SNL has had significant involvement and participation in the Waste Isolation Pilot Plant (low-level defense nuclear waste), the Yucca Mountain Project (formerly proposed for commercial spent fuel and high-level nuclear waste), and the Strategic Petroleum Reserve (the nation's emergency petroleum store). In addition, numerous industrial partners seek-out our computational/geomechanics expertise, and there are efforts in compressed air and natural gas storage, as well as in CO{sub 2} Sequestration. Likewise, there have also been collaborative past efforts in the areas of compactable reservoir response, the response of salt structures associated with reservoirs, and basin modeling for the Oil & Gas industry. There are also efforts on the defense front, ranging from assessment of vulnerability of infrastructure to defeat of hardened targets, which require an understanding and application of computational geomechanics. Several examples from some of these areas will be described and discussed to give the audience a flavor of the type of work currently being performed at Sandia in the general area of geomechanics.

Arguello, Jose Guadalupe, Jr.

2010-04-01T23:59:59.000Z

338

Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

Liang Sai [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang, Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Xu Yijian [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); China Academy of Urban Planning and Design, Beijing 100037 (China)

2012-03-15T23:59:59.000Z

339

Exact Solutions in a Model of Vertical Gas Migration Dmitriy B. Silin, SPE, Lawrence Berkeley National Laboratory / UC Berkeley; Tad W. Patzek, SPE,  

E-Print Network [OSTI]

Berkeley National Laboratory / UC Berkeley; Tad W. Patzek, SPE, UC Berkeley / Lawrence Berkeley National

Patzek, Tadeusz W.

340

Reduced model prediction of electron temperature profiles in microtearing-dominated National Spherical Torus eXperiment plasmas  

SciTech Connect (OSTI)

A representative H-mode discharge from the National Spherical Torus eXperiment is studied in detail to utilize it as a basis for a time-evolving prediction of the electron temperature profile using an appropriate reduced transport model. The time evolution of characteristic plasma variables such as ?{sub e},??{sub e}{sup ?}, the MHD ? parameter, and the gradient scale lengths of T{sub e}, T{sub i}, and n{sub e} were examined as a prelude to performing linear gyrokinetic calculations to determine the fastest growing micro instability at various times and locations throughout the discharge. The inferences from the parameter evolutions and the linear stability calculations were consistent. Early in the discharge, when ?{sub e} and ?{sub e}{sup ?} were relatively low, ballooning parity modes were dominant. As time progressed and both ?{sub e} and ?{sub e}{sup ?} increased, microtearing became the dominant low-k{sub ?} mode, especially in the outer half of the plasma. There are instances in time and radius, however, where other modes, at higher-k{sub ?}, may, in addition to microtearing, be important for driving electron transport. Given these results, the Rebut-Lallia-Watkins (RLW) electron thermal diffusivity model, which is based on microtearing-induced transport, was used to predict the time-evolving electron temperature across most of the profile. The results indicate that RLW does a good job of predicting T{sub e} for times and locations where microtearing was determined to be important, but not as well when microtearing was predicted to be stable or subdominant.

Kaye, S. M., E-mail: skaye@pppl.gov; Guttenfelder, W.; Bell, R. E.; Gerhardt, S. P.; LeBlanc, B. P.; Maingi, R. [Princeton Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543 (United States)

2014-08-15T23:59:59.000Z

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

Industrial and Systems engineering  

E-Print Network [OSTI]

Industrial and Systems engineering COLLEGE of ENGINEERING DepartmentofIndustrialandSystemsEngineering EDGE Engineering Entrepreneur Certificate Program is a great addition to an industrial and systems to expert clinical recommendations. engineering.wayne.edu/isefaculty Industrial and systems engineering

Berdichevsky, Victor

342

Industrial Infiltration  

E-Print Network [OSTI]

and among other manufacturers of infiltration control equipment. The model can be explained most clearly through an example. Suppose you have a building with a 10' wide by 10' high opening on the side facing a 880 FPM wind and a 5' by 5' opening... on the opposite side. The problem is to determine the velocity through the 10' by 10' and the 5' by 5' openings. One's first thought would be that the velocity for both openings would be 880 FPM. If it were, we would have 88,000 CFM entering the building...

Kennon, M. K.

1982-01-01T23:59:59.000Z

343

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 51, NO. 5, OCTOBER 2004 1103 An Electrochemical-Based Fuel-Cell Model Suitable  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 51, NO. 5, OCTOBER 2004 1103 An Electrochemical, automotive, and stationary applications. In particular, proton exchange membrane FCs (PEMFCs) are considered

Simões, Marcelo Godoy

344

CASL Industry Council Meeting  

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

IndustryCouncil.shtml The new members that joined the Industry Council include NPP owneroperators with analysis capability: Tyrone Stevens of Exelon, and SMR vendors:...

345

Uranium industry annual 1997  

SciTech Connect (OSTI)

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

346

Electric Utility Industry Update  

Broader source: Energy.gov [DOE]

Presentation—given at the April 2012 Federal Utility Partnership Working Group (FUPWG) meeting—covers significant electric industry trends and industry priorities with federal customers.

347

Adapting state and national electricity consumption forecasting methods to utility service areas. Final report  

SciTech Connect (OSTI)

This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

Swift, M.A.

1984-07-01T23:59:59.000Z

348

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWindInternational Smart

349

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding a

350

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding aNASA Earth at Night

351

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding aNASA Earth at

352

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding aNASA Earth atNew

353

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding aNASA Earth

354

Sandia National Laboratories: Modeling  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLS ExhibitIowaLosSandia ParticipatedBuilding aNASA EarthRESOURCE:

355

Productivity and labor management in Shanghai state-owned industrial enterprises  

E-Print Network [OSTI]

., China's Industrial Revolution ; Brugger, William, Democracy & Organization in the Chinese IndustrialProductivity and labor management in Shanghai state-owned industrial enterprises Christian HENRIOT picture of the state of national industries. It became clear to the Chinese leaders that their past

Paris-Sud XI, Université de

356

Demand-Side Response from Industrial Loads  

SciTech Connect (OSTI)

Through a research study funded by the Department of Energy, Smart Grid solutions company ENBALA Power Networks along with the Oak Ridge National Laboratory (ORNL) have geospatially quantified the potential flexibility within industrial loads to leverage their inherent process storage to help support the management of the electricity grid. The study found that there is an excess of 12 GW of demand-side load flexibility available in a select list of top industrial facilities in the United States. Future studies will expand on this quantity of flexibility as more in-depth analysis of different industries is conducted and demonstrations are completed.

Starke, Michael R [ORNL; Alkadi, Nasr E [ORNL; Letto, Daryl [Enbala Power Networks; Johnson, Brandon [University of Tennessee, Knoxville (UTK); Dowling, Kevin [University of Tennessee, Knoxville (UTK); George, Raoule [Enbala Power Networks; Khan, Saqib [University of Texas, Austin

2013-01-01T23:59:59.000Z

357

Pawnee Nation Energy Option Analyses  

SciTech Connect (OSTI)

In 2003, the Pawnee Nation leadership identified the need for the tribe to comprehensively address its energy issues. During a strategic energy planning workshop a general framework was laid out and the Pawnee Nation Energy Task Force was created to work toward further development of the tribe’s energy vision. The overarching goals of the “first steps” project were to identify the most appropriate focus for its strategic energy initiatives going forward, and to provide information necessary to take the next steps in pursuit of the “best fit” energy options. Based on the request of Pawnee Nation’s Energy Task Force the research team, consisting Tribal personnel and Summit Blue Consulting, focused on a review of renewable energy resource development potential, funding sources and utility organizational along with energy savings options. Elements of the energy demand forecasting and characterization and demand side options review remained in the scope of work, but were only addressed at a high level. Description of Activities Performed Renewable Energy Resource Development Potential The research team reviewed existing data pertaining to the availability of biomass (focusing on woody biomass, agricultural biomass/bio-energy crops, and methane capture), solar, wind and hydropower resources on the Pawnee-owned lands. Using these data, combined with assumptions about costs and revenue streams, the research team performed preliminary feasibility assessments for each resource category. The research team also reviewed available funding resources and made recommendations to Pawnee Nation highlighting those resources with the greatest potential for financially-viable development, both in the near-term and over a longer time horizon. Energy Efficiency Options While this was not a major focus of the project, the research team highlighted common strategies for reducing energy use in buildings. The team also discussed the benefits of adopting a building energy code and introduced two model energy codes Pawnee Nation should consider for adoption. Summary of Current and Expected Future Electricity Usage The research team provided a summary overview of electricity usage patterns in current buildings and included discussion of known plans for new construction. Utility Options Review Pawnee Nation electric utility options were analyzed through a four-phase process, which included: 1) summarizing the relevant utility background information; 2) gathering relevant utility assessment data; 3) developing a set of realistic Pawnee electric utility service options, and 4) analyzing the various Pawnee electric utility service options for the Pawnee Energy Team’s consideration. III. Findings and Recommendations Due to a lack of financial incentives for renewable energy, particularly at the state level, combined mediocre renewable energy resources, renewable energy development opportunities are limited for Pawnee Nation. However, near-term potential exists for development of solar hot water at the gym, and an exterior wood-fired boiler system at the tribe’s main administrative building. Pawnee Nation should also explore options for developing LFGTE resources in collaboration with the City of Pawnee. Significant potential may also exist for development of bio-energy resources within the next decade. Pawnee Nation representatives should closely monitor market developments in the bio-energy industry, establish contacts with research institutions with which the tribe could potentially partner in grant-funded research initiatives. In addition, a substantial effort by the Kaw and Cherokee tribes is underway to pursue wind development at the Chilocco School Site in northern Oklahoma where Pawnee is a joint landowner. Pawnee Nation representatives should become actively involved in these development discussions and should explore the potential for joint investment in wind development at the Chilocco site.

Matlock, M.; Kersey, K.; Riding In, C.

2009-07-31T23:59:59.000Z

358

The future steelmaking industry and its technologies  

SciTech Connect (OSTI)

The objective of this report is to develop a vision of the future steelmaking industry including its general characteristics and technologies. In addition, the technical obstacles and research and development opportunities for commercialization of these technologies are identified. The report is being prepared by the Sloan Steel Industry Competitiveness Study with extensive input from the industry. Industry input has been through AISI (American Iron and Steel Institute), SMA (Steel Manufacturers Association) and contacts with individual company executives and technical leaders. The report identifies the major industry drivers which will influence technological developments in the industry for the next 5--25 years. Initially, the role of past drivers in shaping the current industry was examined to help understand the future developments. Whereas this report concentrates on future technologies other major factors such as national and international competition, human resource management and capital concerns are examined to determine their influence on the future industry. The future industry vision does not specify specific technologies but rather their general characteristics. Finally, the technical obstacles and the corresponding research and development required for commercialization are detailed.

Fruehan, R.J.; Paxton, H.W.; Giarratani, F.; Lave, L. [Carnegie-Mellon Univ., Pittsburgh, PA (United States)]|[Pittsburgh Univ., PA (United States)

1995-01-01T23:59:59.000Z

359

U.S. Industries: Partner with DOE to Save Energy and Money  

SciTech Connect (OSTI)

This DOE Industrial Program fact sheet describes Save Energy Now, part of a national campaign to engage the public, the government, and industry in making simple but effective energy-saving choices.

Not Available

2005-11-01T23:59:59.000Z

360

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor of Philosophy in Systems and Engineering Management programs prepare competent industrial engineers

Gelfond, Michael

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

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

362

Industry Analysis February 2013  

E-Print Network [OSTI]

technology ­ Clean tech/ clean technology #12;7 Industry Studies · IbisWorld ­ U.S. and global industry-Industries · Biodiesel ­ Biofuel ­ Alternate fuels ­ Green fuels ­ Renewable fuels/energy ­ Green energy ­ Green Canada, Census, Industry Canada, the OECD, European Union, IMF, World Bank, UN . . . Never pay for stats

Abolmaesumi, Purang

363

Artificial neural network modeling of the spontaneous combustion occurring in the industrial-scale coal stockpiles with 10-18 mm coal grain sizes  

SciTech Connect (OSTI)

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. In order to achieve this goal, the electrical signal conversion of temperatures sensed by 17 temperature sensors placed in certain points inside the coal stockpile, the transfer of these electrical signals into computer media by using analog-digital conversion unit after applying necessary filtration and upgrading processes, and the record of these information into a database in particular time intervals are provided. 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. Afterwards, these measurement values were used for training and testing of an artificial neural network model. Comparison of the experimental and artificial neural network results, accuracy rates of training and testing were found to be 99.5% and 99.17%, respectively. It is shown that possible coal stockpile behavior with this artificial neural network model is powerfully estimated.

Ozdeniz, A.H.; Yilmaz, N. [Selcuk University, Konya (Turkey). Dept. of Mining Engineering

2009-07-01T23:59:59.000Z

364

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]

Energy Storage Geothermal Grid Hydrogen/ Fuel Cell Lighting Nuclear Other Solar Wave/ Ocean Wind $56 Efficiency Energy Storage Geothermal Grid Hydrogen/ Fuel Cell Lighting Nuclear Other Solar Wave/ Ocean WindNREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency

365

MIT and Life Sciences & Health Care Industries MIT Industry Brief  

E-Print Network [OSTI]

,Lasers,Spectroscopy · Informatics,Computation,Analysis,Modeling · LifestyleIssues · Medical-forward care; multiple blast and ballistic threats--materials damage, human #12;MIT and Life Sciences & Health Care Industries injury mechanisms, lightweight protective systems; hazardous substances sensing

Polz, Martin

366

Numerical Simulation of Inter-basin Groundwater Flow into Northern Yucca Flat, Nevada National Security Site, Using the Death Valley Regional Flow System Model  

SciTech Connect (OSTI)

Models of groundwater flow for the Yucca Flat area of the Nevada National Security Site (NNSS) are under development by the U.S. Department of Energy (DOE) for corrective action investigations of the Yucca Flat-Climax Mine Corrective Action Unit (CAU). One important aspect of these models is the quantity of inter-basin groundwater flow from regional systems to the north. This component of flow, together with its uncertainty, must be properly accounted for in the CAU flow models to provide a defensible regional framework for calculations of radionuclide transport that will support determinations of the Yucca Flat-Climax Mine contaminant boundary. Because characterizing flow boundary conditions in northern Yucca Flat requires evaluation to a higher level of detail than the scale of the Yucca Flat-Climax Mine CAU model can efficiently provide, a study more focused on this aspect of the model was required.

Pohlmann Karl,Ye Ming

2012-03-01T23:59:59.000Z

367

Assessing the Control Systems Capacity for Demand Response in California Industries  

SciTech Connect (OSTI)

California's electricity markets are moving toward dynamic pricing models, such as real-time pricing, within the next few years, which could have a significant impact on an industrial facility's cost of energy use during the times of peak use. Adequate controls and automated systems that provide industrial facility managers real-time energy use and cost information are necessary for successful implementation of a comprehensive electricity strategy; however, little is known about the current control capacity of California industries. To address this gap, Lawrence Berkeley National Laboratory, in close collaboration with California industrial trade associations, conducted a survey to determine the current state of controls technologies in California industries. This,study identifies sectors that have the technical capability to implement Demand Response (DR) and Automated Demand Response (Auto-DR). In an effort to assist policy makers and industry in meeting the challenges of real-time pricing, facility operational and organizational factors were taken into consideration to generate recommendations on which sectors Demand Response efforts should be focused. Analysis of the survey responses showed that while the vast majority of industrial facilities have semi- or fully automated control systems, participation in Demand Response programs is still low due to perceived barriers. The results also showed that the facilities that use continuous processes are good Demand Response candidates. When comparing facilities participating in Demand Response to those not participating, several similarities and differences emerged. Demand Response-participating facilities and non-participating facilities had similar timings of peak energy use, production processes, and participation in energy audits. Though the survey sample was smaller than anticipated, the results seemed to support our preliminary assumptions. Demonstrations of Auto-Demand Response in industrial facilities with good control capabilities are needed to dispel perceived barriers to participation and to investigate industrial subsectors suggested of having inherent Demand Response potential.

Ghatikar, Girish; McKane, Aimee; Goli, Sasank; Therkelsen, Peter; Olsen, Daniel

2012-01-18T23:59:59.000Z

368

Thinking Globally: How ISO 50001 - Energy Management can make industrial energy efficiency standard practice  

E-Print Network [OSTI]

Comparison of National Energy Management Standards, prepared2007, Industrial Energy Management: Issues Paper, preparedMeeting: Using Energy Management Standards to stimulate

McKane, Aimee

2010-01-01T23:59:59.000Z

369

E-Print Network 3.0 - agate industry khambhat Sample Search Results  

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

of western Arabian Sea 47... and pollution forecasting, national security, the oil and gas industry, fisheries management and coastal... low-salinity plume off Gulf of Khambhat,...

370

A Review of Energy Use and Energy Efficiency Technologies for the Textile Industry  

E-Print Network [OSTI]

s Office of Industrial Technology and Oak Ridge NationalGunnar Hovstadius of ITT Fluid Technology Corporation. 2002.of Demonstrated Energy Technologies (CADDET), Sittard, the

Hasanbeigi, Ali

2014-01-01T23:59:59.000Z

371

Emerging Energy-Efficiency and Greenhouse Gas Mitigation Technologies for the Pulp and Paper Industry  

E-Print Network [OSTI]

Biomass Gasification Technologies for Fuels, Chemicals andEnergy, National Energy Technology Laboratory. CO ? Solution01GO10621. Industrial Technologies Progarm (ITP). 2006e.

Kong, Lingbo

2014-01-01T23:59:59.000Z

372

Expanding the Pool of Federal Policy Options to Promote Industrial Energy Efficiency  

SciTech Connect (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.

Brown, Dr. Marilyn Ann [Georgia Institute of Technology] [Georgia Institute of Technology; Cox, Matthew [Georgia Institute of Technology] [Georgia Institute of Technology; Jackson, Roderick K [ORNL] [ORNL; Lapsa, Melissa Voss [ORNL] [ORNL

2011-01-01T23:59:59.000Z

373

Washington State Ergonomics Tool: predictive validity in the waste industry  

E-Print Network [OSTI]

This study applies the Washington State Ergonomics Tool to waste industry jobs in Texas. Exposure data were collected by on-site observation of fourteen different multi-task jobs in a major national solid waste management company employing more...

Eppes, Susan Elise

2004-09-30T23:59:59.000Z

374

PA Regional Nanotechnology Conference Nanotechnology for Industry  

E-Print Network [OSTI]

4/19/2011 Present PA Regional Nanotechnology Conference Nanotechnology for Industry May 31, 2011 9 _____________________________________________________________ _____________The field of nanotechnology continues to be one of the leading forces behind our nation's ability to develop, commercialize, and produce advancements that are enabled by nanotechnology. Therefore, Drexel

Gilchrist, James F.

375

working with industry Engineering and  

E-Print Network [OSTI]

of interests including: · laser physics · semiconductor optoelectronics · photonics in manufacturing · solar · micromechanics and condition monitoring · renewable energy modelling · carbon capture and storage Our institute to applied systems. We have a wide ranging programme of current work with many industrial companies in key

Painter, Kevin

376

Analysis of the impacts of Internet-based business activities on the container shipping industry : the system dynamics modeling approach with the framework of technological evolution  

E-Print Network [OSTI]

The internet-based business (e-business) activities have become a new technological challenge to the container shipping industry (CSI) in recent years. Despite the growing importance of e-business in the CSI, little ...

Auh, Jae Hyuck, 1969-

2003-01-01T23:59:59.000Z

377

U.S. National Committee for Rock Mechanics; and Conceptual model of fluid infiltration in fractured media. Project summary, July 28, 1997--July 27, 1998  

SciTech Connect (OSTI)

The title describes the two tasks summarized in this report. The remainder of the report contains information on meetings held or to be held on the subjects. The US National Committee for Rock Mechanics (USNC/RM) provides for US participation in international activities in rock mechanics, principally through adherence to the International Society for Rock Mechanics (ISRM). It also keeps the US rock mechanics community informed about new programs directed toward major areas of national concern in which rock mechanics problems represent critical or limiting factors, such as energy resources, excavation, underground storage and waste disposal, and reactor siting. The committee also guides or produces advisory studies and reports on problem areas in rock mechanics. A new panel under the auspices of the US National Committee for Rock Mechanics has been appointed to conduct a study on Conceptual Models of Fluid Infiltration in Fractured Media. The study has health and environmental applications related to the underground flow of pollutants through fractured rock in and around mines and waste repositories. Support of the study has been received from the US Nuclear Regulatory Commission and the Department of Energy`s Yucca Mountain Project Office. The new study builds on the success of a recent USNC/RM report entitled Rock Fractures and Fluid Flow: Contemporary Understanding and Applications (National Academy Press, 1996, 551 pp.). A summary of the new study is provided.

NONE

1998-09-01T23:59:59.000Z

378

A method for the assessment of site-specific economic impacts of commercial and industrial biomass energy facilities. A handbook and computer model  

SciTech Connect (OSTI)

A handbook on ``A Method for the Assessment of Site-specific Econoomic Impacts of Industrial and Commercial Biomass Energy Facilities`` has been prepared by Resource Systems Group Inc. under contract to the Southeastern Regional Biomass Energy Program (SERBEP). The handbook includes a user-friendly Lotus 123 spreadsheet which calculates the economic impacts of biomass energy facilities. The analysis uses a hybrid approach, combining direct site-specific data provided by the user, with indirect impact multipliers from the US Forest Service IMPLAN input/output model for each state. Direct economic impacts are determined primarily from site-specific data and indirect impacts are determined from the IMPLAN multipliers. The economic impacts are given in terms of income, employment, and state and federal taxes generated directly by the specific facility and by the indirect economic activity associated with each project. A worksheet is provided which guides the user in identifying and entering the appropriate financial data on the plant to be evaluated. The WLAN multipliers for each state are included in a database within the program. The multipliers are applied automatically after the user has entered the site-specific data and the state in which the facility is located. Output from the analysis includes a summary of direct and indirect income, employment and taxes. Case studies of large and small wood energy facilities and an ethanol plant are provided as examples to demonstrate the method. Although the handbook and program are intended for use by those with no previous experience in economic impact analysis, suggestions are given for the more experienced user who may wish to modify the analysis techniques.

Not Available

1994-10-01T23:59:59.000Z

379

National Security | ornl.gov  

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

Mobile Applications StreamingReal-time Data Data System Architectures for National Security Sensor Networks Visual Analytics Risk Analysis Systems Modeling Engineering Analysis...

380

Sandia National Laboratories: SMART Grid  

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

SMART Grid Vermont and Sandia National Laboratories Announce Energy Research Center On December 20, 2011, in Energy Efficiency, Grid Integration, Microgrid, Modeling & 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.


381

Field Testing: Independent, Accredited Testing and Validation for the Wind Industry (Fact Sheet)  

SciTech Connect (OSTI)

This fact sheet describes the field testing capabilities at the National Wind Technology Center (NWTC). NREL's specialized facilities and personnel at the NWTC provide the U.S. wind industry with scientific and engineering support that has proven critical to the development of wind energy for U.S. energy needs. The NWTC's specialized field-testing capabilities have evolved over 30 years of continuous support by the U.S. Department of Energy Wind and Hydropower Technologies Program and long standing industry partnerships. The NWTC provides wind industry manufacturers, developers, and operators with turbine and component testing all in one convenient location. Although industry utilizes sophisticated modeling tools to design and optimize turbine configurations, there are always limitations in modeling capabilities, and testing is a necessity to ensure performance and reliability. Designs require validation and testing is the only way to determine if there are flaws. Prototype testing is especially important in capturing manufacturing flaws that might require fleet-wide retrofits. The NWTC works with its industry partners to verify the performance and reliability of wind turbines that range in size from 400 Watts to 3 megawatts. Engineers conduct tests on components and full-scale turbines in laboratory environments and in the field. Test data produced from these tests can be used to validate turbine design codes and simulations that further advance turbine designs.

Not Available

2011-11-01T23:59:59.000Z

382

RFID Implementation in Retail Industry: Current Status, Issues, and Challenges  

E-Print Network [OSTI]

RFID Implementation in Retail Industry: Current Status, Issues, and Challenges Mithu Bhattacharya aggressive supporters of the technology. Frost & Sullivan reported that the revenue in the RFID retail market have such a timeline (National petroleum News, 2006). This raises the question why the retail industry

Mullen, Tracy

383

West Virginia University 1 Department of Industrial & Management Systems  

E-Print Network [OSTI]

-mail: Statler-IMSE@mail.wvu.edu Degree Offered · Bachelor of Science in Industrial Engineering (B.S.I.E.) Nature the needs of West Virginia, the nation, and the world. The industrial engineering students at WVU are taught to draw upon specialized knowledge and skills in the mathematical, physical, and social sciences, together

Mohaghegh, Shahab

384

New National Conservation Training Center a model of energy-efficient design: FEMP technical assistance case study fact sheet  

SciTech Connect (OSTI)

This FEMP technical assistance case study shows that energy efficiency, cost effectiveness, and aesthetics can be incorporated into the design of a Federal facility--in this case the National Conservation Training Center in Shepherdstown, WV, which encompasses many buildings with a variety of purposes.

Atkison, K.

1998-10-07T23:59:59.000Z

385

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY  

E-Print Network [OSTI]

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

Pohl, Karsten

386

Demographics and industry returns  

E-Print Network [OSTI]

Industry category Child care Children’s books Children’s clothing Toysindustry Child care Children’s books Children’s clothing ToysIndustries are associated with high demand by children (child care, toys) and

Pollet, Joshua A.; DellaVigna, Stefano

2007-01-01T23:59:59.000Z

387

Electrotechnologies in Process Industries  

E-Print Network [OSTI]

The Industrial Program at the Electric Power Research Institute (EPRI) promotes the efficient use of electricity to improve the competitive position of the American industry. Electrotechnologies that improve productivity, improve quality...

Amarnath, K. R.

388

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

389

Geothermal Industry Partnership Opportunities  

Broader source: Energy.gov [DOE]

Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

390

Photovoltaics industry profile  

SciTech Connect (OSTI)

A description of the status of the US photovoltaics industry is given. Principal end-user industries are identified, domestic and foreign market trends are discussed, and industry-organized and US government-organized trade promotion events are listed. Trade associations and trade journals are listed, and a photovoltaic product manufacturers list is included. (WHK)

None

1980-10-01T23:59:59.000Z

391

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

392

INDUSTRIAL AND BIOMEDICAL APPLICATIONS  

E-Print Network [OSTI]

INDUSTRIAL AND BIOMEDICAL APPLICATIONS Frank Smith, Nicholas Ovenden and Richard Purvis University are described, one industrial on violent water-air interaction during an impact process and the other biomedical: industrial, biomedical, impacts, networks, theory, computation, scales. 1. INTRODUCTION It is a pleasure

Purvis, Richard

393

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) -NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen Klein, Lawrence Livermore National Laboratory  

E-Print Network [OSTI]

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) - NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen ARM product, the Climate Modeling Best Estimate (CMBE) dataset, is being augmented with the additional observational and model data. The CMBE dataset was created to serve the needs of climate model developers

394

Safety Share from National Safety Council  

Broader source: Energy.gov [DOE]

Slide Presentation by Joe Yanek, Fluor Government Group. National Safety Council Safety Share. The Campbell Institute is the “Environmental, Health and Safety (EHS) Center of Excellence” at the National Safety Council and provides a Forum for Leaders in EHS to exchange ideas and collaborate across industry sectors and organizational types.

395

National Geothermal Association Trade Mission to Central America  

SciTech Connect (OSTI)

The United States (US) geothermal industry, the world's most technically proficient, has been unable to achieve penetration into the markets of the developing nations. This report details the findings of an industry Trade Mission to Central America, tasked with determining the reasons for this shortfall and with developing a US industry geothermal export strategy designed to achieve immediate and long-term export benefits.

Not Available

1992-10-01T23:59:59.000Z

396

Industrial policy and the Indian electronics industry  

E-Print Network [OSTI]

Recently, production within India's Electronics sector amounted to a low $12 billion when compared to the global output of $1400 billion. The slow growth in the local industry is often judged to be the result of late ...

Love, Robert (Robert Eric)

2008-01-01T23:59:59.000Z

397

Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

INTERACTING WITH THE PHARMACEUTICAL INDUSTRY Stephen R.to interactions with the pharmaceutical industry! This is ancome from the pharmaceutical industry. It is also reality

Hayden, Stephen R

2003-01-01T23:59:59.000Z

398

A Comparative SWOT Analysis of the National Agricultural Extension Program Organization to Determine Best-Fit Program Model: A Case Study of the North West and South West Regions of Cameroon.  

E-Print Network [OSTI]

A COMPARATIVE SWOT ANALYSIS OF THE NATIONAL AGRICULTURAL EXTENSION PROGRAM ORGANIZATION TO DETERMINE BEST-FIT PROGRAM MODEL: A CASE STUDY OF THE NORTH WEST AND SOUTH WEST REGIONS OF CAMEROON A Dissertation by GWENDOLINE NA-AH NYAMBI... A Comparative SWOT Analysis of the National Agricultural Extension Program Organization to Determine Best-Fit Program Model: A Case Study of the North West and South West Regions of Cameroon Copyright 2012 Gwendoline Na-ah Nyambi A COMPARATIVE...

Nyambi, Gwendoline

2012-07-16T23:59:59.000Z

399

A Blueprint for Forest Products Industry  

E-Print Network [OSTI]

Major Model Components - Resource Assessment - Industry Structure - Product/Market Strategy - Economic Impacts Workforce Training Network Formation Resource Assessment Government Support Financing Economic Development Technology Profitability Resource Assessment Current & projected Commercial species Lesser-used species

400

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

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.


401

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

Rohs, Remo

402

National Nanotechnology Initiative  

Office of Science (SC) Website

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 IndustrialIsadore Perlman, 1960 The ErnestLouisMichael J.| U.S.Nathaniel J.National

403

Industrial Assessment Centers: AMO Technical Assistance Overview  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA,Fermi NationalBusiness PlanPosting of|ofIndustrialIndustrial Assessment

404

NREL Software Models Performance of Wind Plants (Fact Sheet), NREL Highlights in Research & Development, NREL (National Renewable Energy Laboratory)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | National Nuclearover two yearsNPResults giveSimulator fOr Wind

405

Why some were so fast while others not : speed of entry as a new competitive asset in late-industrialization  

E-Print Network [OSTI]

The object of this dissertation is to gain an understanding of the speed of entry into high-tech industries by "latecomers," private and national firms from late-industrializing countries. While entry is traditionally ...

Kwak, Jooyoung

2008-01-01T23:59:59.000Z

406

Advanced Industrial Materials Program. Annual progress report, FY 1993  

SciTech Connect (OSTI)

Mission of the AIM program is to commercialize new/improved materials and materials processing methods that will improve energy efficiency, productivity, and competitiveness. Program investigators in the DOE national laboratories are working with about 100 companies, including 15 partners in CRDAs. Work is being done on intermetallic alloys, ceramic composites, metal composites, polymers, engineered porous materials, and surface modification. The program supports other efforts in the Office of Industrial Technologies to assist the energy-consuming process industries. The aim of the AIM program is to bring materials from basic research to industrial application to strengthen the competitive position of US industry and save energy.

Stooksbury, F. [comp.

1994-06-01T23:59:59.000Z

407

Sensitivity of Concentrating Solar Power Trough Performance, Cost and Financing with Solar Advisor Model  

SciTech Connect (OSTI)

A comprehensive solar technology systems analysis model, the Solar Advisor Model (SAM) was developed to support the federal R&D community and the solar industry. This model, developed by staff at NREL and Sandia National Laboratory, is able to model the costs, finances, and performance of concentrating solar power and photovoltaics (PV). Currently, parabolic troughs and concentrating PV are the two concentrating technologies modeled within the SAM environment.

Blair, N.; Mehos, M.; Christensen, C.

2008-03-01T23:59:59.000Z

408

Product Market Characteristics and the Industry Life Cycle Kenneth L. Simons *  

E-Print Network [OSTI]

permission to use US data which the author helped to collect. Teams of research assistants worked to assemble-sectional, cross-national (US and UK) industry data on narrowly-defined product markets. The process by which industries evolve to their static outcomes is found to occur similarly for the same industry in the different

LĂĽ, James Jian-Qiang

409

Optimization of Industrial Applications with Hardware in the Loop  

E-Print Network [OSTI]

-RSJ International Conference on Intelligent Robots & Systems (2006)" #12;1 Optimization of Industrial ApplicationsOptimization of Industrial Applications with Hardware in the Loop Matthieu Guilbert St of industrial robots integrated in complex robot cells. Trajectory optimizers are usually based on models

Boyer, Edmond

410

Industrial Security Specialst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve in a developmental capacity assisting senior specialists in carrying out a variety of industrial security and oversight functions.

411

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

412

Risk assessment for the Waste Technologies Industries (WTI) hazardous waste incineration facility (East Liverpool, Ohio). Volume 4. Atmospheric dispersion and deposition modeling of emissions  

SciTech Connect (OSTI)

Contents: Introduction; Technical Description of ISC-COMPDEP; Modeling Input Parameters; Discussion of Modeling Results; Summary and Major Assumptions; and References.

NONE

1997-05-01T23:59:59.000Z

413

Industry and forest wetlands: Cooperative research initiatives  

SciTech Connect (OSTI)

In 1989 the forest products industry responded to a challenge of the National Wetlands Policy Forum to initiate a cooperative research program on forest wetlands management organized through the National Council of the Paper Industry for Air and Stream Improvement (NCASI). The objective is to determine how forest landowners can manage wetlands for timber production while protecting other wetland functions such as flood storage, water purification, and food chain/wildlife habitat support. Studies supported by the NCASI in 9 states are summarized. Technical support on wetland regulatory issues to member companies is part of the research program. Since guidelines for recognizing wetlands for regulatory proposed have changed frequently, the NCASI has recommend an explicit link between wetland delineation and a classification system that considers difference among wetland types in vegetation, soils, hydrology, appearance, landscape position, and other factors. 16 refs.

Shepard, J.P. (National Council of the Paper Industry for Air and Stream Improvement, Gainesville, FL (United States)); Lucier, A.A. (National Council of the Paper Industry for Air and Stream Improvement, New York, NY (United States)); Haines, L.W. (International Paper, Bainbridge, GA (United States))

1993-05-01T23:59:59.000Z

414

Emerging energy-efficient technologies for industry  

SciTech Connect (OSTI)

U.S. industry consumes approximately 37 percent of the nation's energy to produce 24 percent of the nation's GDP. Increasingly, society is confronted with the challenge of moving toward a cleaner, more sustainable path of production and consumption, while increasing global competitiveness. Technology is essential in achieving these challenges. We report on a recent analysis of emerging energy-efficient technologies for industry, focusing on over 50 selected technologies. The technologies are characterized with respect to energy efficiency, economics and environmental performance. This paper provides an overview of the results, demonstrating that we are not running out of technologies to improve energy efficiency, economic and environmental performance, and neither will we in the future. The study shows that many of the technologies have important non-energy benefits, ranging from reduced environmental impact to improved productivity, and reduced capital costs compared to current technologies.

Worrell, Ernst; Martin, Nathan; Price, Lynn; Ruth, Michael; Elliott, Neal; Shipley, Anna; Thorne, Jennifer

2004-01-01T23:59:59.000Z

415

NETL-Led Laboratory-Industry-Academia Collaboration Is Accelerating...  

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

of successful, effective collaboration among government, industry, and academia. The heart of the initiative is the CCSI Toolset, a suite of computer models and computational...

416

Dakota Electric Association- Commercial and Industrial Custom Energy Grant Program  

Broader source: Energy.gov [DOE]

Dakota Electric's Custom Energy Grant Program is offered for any commercial or industrial customer that installs qualifying energy-efficient products which exceed conventional models and result in...

417

Strategic vision toward the next-generation telecom industry  

E-Print Network [OSTI]

Telecommunication industry is experiencing volatile change in technology and business model. Every telecom company needs strategy that gives direction through rapidly shifting environment. NTT, Japanese telecom giant is ...

Yoshioka, Kenji, S.M. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

418

Advanced Industrial Materials (AIM) Program annual progress report, FY 1997  

SciTech Connect (OSTI)

The Advanced Industrial Materials (AIM) Program is a part of the Office of Industrial Technologies (OIT), Energy Efficiency and Renewable Energy, US Department of Energy (DOE). The mission of AIM is to support development and commercialization of new or improved materials to improve energy efficiency, productivity, product quality, and reduced waste in the major process industries. OIT has embarked on a fundamentally new way of working with industries--the Industries of the Future (IOF) strategy--concentrating on the major process industries that consume about 90% of the energy and generate about 90% of the waste in the industrial sector. These are the aluminum, chemical, forest products, glass, metalcasting, and steel industries. OIT has encouraged and assisted these industries in developing visions of what they will be like 20 or 30 years into the future, defining the drivers, technology needs, and barriers to realization of their visions. These visions provide a framework for development of technology roadmaps and implementation plans, some of which have been completed. The AIM Program supports IOF by conducting research and development on materials to solve problems identified in the roadmaps. This is done by National Laboratory/industry/university teams with the facilities and expertise needed to develop new and improved materials. Each project in the AIM Program has active industrial participation and support.

NONE

1998-05-01T23:59:59.000Z

419

Industrial recovered-materials-utilization targets for the metals and metal-products industry  

SciTech Connect (OSTI)

The National Energy Conservation Policy Act of 1978 directs DOE to set targets for increased utilization of energy-saving recovered materials for certain industries. These targets are to be established at levels representing the maximum feasible increase in utilization of recovered materials that can be achieved progressively by January 1, 1987 and is consistent with technical and economic factors. A benefit to be derived from the increased use of recoverable materials is in energy savings, as state in the Act. Therefore, emhasis on different industries in the metals sector has been related to their energy consumption. The ferrous industry (iron and steel, ferrour foundries and ferralloys), as defined here, accounts for approximately 3%, and all others for the remaining 3%. Energy consumed in the lead and zinc segments is less than 1% each. Emphasis is placed on the ferrous scrap users, followed by the aluminum and copper industries. A bibliography with 209 citations is included.

None

1980-03-01T23:59:59.000Z

420

Commercial Building Partners Catalyze High Performance Buildings Across the Nation  

SciTech Connect (OSTI)

In 2008 the US Department of Energy (DOE) launched the Commercial Buildings Partnership (CBP) project to accelerate market adoption of commercially available energy saving technologies into the design process for new and upgraded commercial buildings. The CBP represents a unique collaboration between industry leaders and DOE to develop high performance buildings as a model for future construction and renovation. CBP was implemented in two stages. This paper focuses on lessons learned at Pacific Northwest National Laboratory (PNNL) in the first stage and discusses some partner insights from the second stage. In the first stage, PNNL and the National Renewable Energy Laboratory recruited CBP partners that own large portfolios of buildings. The labs provide assistance to the partners' design teams and make a business case for energy investments.

Baechler, Michael C.; Dillon, Heather E.; Bartlett, Rosemarie

2012-08-01T23:59:59.000Z

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

Geothermal industry assessment  

SciTech Connect (OSTI)

An assessment of the geothermal industry is presented, focusing on industry structure, corporate activities and strategies, and detailed analysis of the technological, economic, financial, and institutional issues important to government policy formulation. The study is based principally on confidential interviews with executives of 75 companies active in the field. (MHR)

Not Available

1980-07-01T23:59:59.000Z

422

Growing Hawaii's agriculture industry,  

E-Print Network [OSTI]

Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

423

and Industrial Engineering  

E-Print Network [OSTI]

45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle, Undergraduate Program Director Office: 207C Engineering Lab Building Phone: (413) 545-2505 Head of Department

Mountziaris, T. J.

424

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

425

Modeling and analysis framework for core damage propagation during flow-blockage-initiated accidents in the Advanced Neutron Source Reactor at Oak Ridge National Laboratory  

SciTech Connect (OSTI)

This paper describes modeling and analysis to evaluate the extent of core damage during flow blockage events in the Advanced Neutron Source (ANS) reactor planned to be built at the Oak Ridge National Laboratory (ORNL). Damage propagation is postulated to occur from thermal conduction between damaged and undamaged plates due to direct thermal contact. Such direct thermal contact may occur because of fuel plate swelling during fission product vapor release or plate buckling. Complex phenomena of damage propagation were modeled using a one-dimensional heat transfer model. A scoping study was conducted to learn what parameters are important for core damage propagation, and to obtain initial estimates of core melt mass for addressing recriticality and steam explosion events. The study included investigating the effects of the plate contact area, the convective heat transfer coefficient, thermal conductivity upon fuel swelling, and the initial temperature of the plate being contacted by the damaged plate. Also, the side support plates were modeled to account for their effects on damage propagation. The results provide useful insights into how various uncertain parameters affect damage propagation.

Kim, S.H.; Taleyarkhan, R.P.; Navarro-Valenti, S.; Georgevich, V.

1995-09-01T23:59:59.000Z

426

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

427

Industrial energy efficiency policy in China  

SciTech Connect (OSTI)

Chinese industrial sector energy-efficiency policy has gone through a number of distinct phases since the founding of the People s Republic in 1949. An initial period of energy supply growth in the 1950s, 1960s, and 1970s was followed by implementation of significant energy efficiency programs in the 1980s. Many of these programs were dismantled in the 1990s during the continuing move towards a market-based economy. In an effort to once again strengthen energy efficiency, the Chinese government passes the Energy Conservation Law in 1997 which provides broad guidance for the establishment of energy efficiency policies. Article 20 of the Energy Conservation Law requires substantial improvement in industrial energy efficiency in the key energy-consuming industrial facilities in China. This portion of the Law declares that ''the State will enhance energy conservation management in key energy consuming entities.'' In 1999, the industrial sector consumed nearly 30 EJ, or 76 percent of China's primary energy. Even though primary energy consumption has dropped dramatically in recent years, due mostly to a decline in coal consumption, the Chinese government is still actively developing an overall policy for energy efficiency in the industrial sector modeled after policies in a number of industrialized countries. This paper will describe recent Chinese government activities to develop industrial sector energy-efficiency targets as a ''market-based'' mechanism for improving the energy efficiency of key industrial facilities.

Price, Lynn; Worrell, Ernst; Sinton, Jonathan; Yun, Jiang

2001-05-01T23:59:59.000Z

428

Posted 3/2/13 Medline Industries Industrial Engineer  

E-Print Network [OSTI]

Posted 3/2/13 Medline Industries ­ Industrial Engineer Medline Industries, Inc. has an immediate opening for an Industrial Engineer for our SPT Division located in Waukegan, IL. We are seeking a hard-working, detail-oriented professional with experience in industrial engineering and lean manufacturing within

Heller, Barbara

429

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

430

INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited Industrial and Systems Engineering Bachelor of Science 128 units Industrial and Systems Engineering

Rohs, Remo

431

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

432

ISO 14001 IMPLEMENTATION AT A NATIONAL LABORATORY.  

SciTech Connect (OSTI)

After a tumultuous year discovering serious lapses in environment, safety and health management at Brookhaven National Laboratory, the Department of Energy established a new management contract. It called for implementation of an IS0 14001 Environmental Management System and registration of key facilities. Brookhaven Science Associates, the managing contractor for the Laboratory, designed and developed a three-year project to change culture and achieve the goals of the contract. The focus of its efforts were to use IS0 14001 to integrate environmental stewardship into all facets of the Laboratory's mission, and manage its programs in a manner that protected the ecosystem and public health. A large multidisciplinary National Laboratory with over 3,000 employees and 4,000 visiting scientists annually posed significant challenges for IS0 14001 implementation. Activities with environmental impacts varied from regulated industrial waste generation, to soil activation from particle accelerator operations, to radioactive groundwater contamination from research reactors. A project management approach was taken to ensure project completion on schedule and within budget. The major work units for the Environmental Management System Project were as follows: Institutional EMS Program Requirements, Communications, Training, Laboratory-wide Implementation, and Program Assessments. To minimize costs and incorporate lessons learned before full-scale deployment throughout the Laboratory, a pilot process was employed at three facilities. Brookhaven National Laboratory has completed its second year of the project in the summer of 2000, successfully registering nine facilities and self-declaring conformance in all remaining facilities. Project controls, including tracking and reporting progress against a model, have been critical to the successful implementation. Costs summaries are lower than initial estimates, but as expected legal requirements, training, and assessments are key cost centers. Successes to date include the pilot process, heightened employee awareness, registration of the first DOE National Laboratory facility, line ownership of the program, and senior management commitment.

BRIGGS,S.L.K.

2001-06-01T23:59:59.000Z

433

Inorganic membranes: The new industrial revolution  

SciTech Connect (OSTI)

Separation systems are a vital part of most industrial processes. These systems account for a large fraction of the capital equipment used and the operating costs of industrial processes. Inorganic membranes have the potential for providing separation systems that can significantly reduce both the capital equipment and operating costs. These separation processes include waste management and recycle as well as the primary production of raw materials and products. The authors are rapidly learning to understand the effect of physical and chemical properties on the different transport mechanisms that occur in inorganic membranes. Such understanding can be expected to provide the information needed to design, engineer and manufacture inorganic membranes to produce very high separation factors for almost any separation function. To implement such a revolution, the authors need to organize a unique partnership between the national laboratories, and industry. The university can provide research to understand the materials and transport mechanisms that produce various separations, the national laboratories the development of an economical fabrication and manufacturing capability, and industry the practical understanding of the operational problems required to achieve inplementation.

Fain, D.E. [Martin Merietta Energy Systems, Oak Ridge, TN (United States)

1994-12-31T23:59:59.000Z

434

Workforce Education For Renewable Energy -- Lessons Learned From A National Gathering Of Educators  

SciTech Connect (OSTI)

On November 8 -10, 2006, the first national conference on renewable energy workforce education was held at Hudson Valley Community College in Troy, New York. The event was sponsored by the New York State Energy Research and Development Authority (NYSERDA) and organized by the Interstate Renewable Energy Council (IREC) and the Partnership for Environmental Technology Education (PETE). Over 200 instructors, school administrators, and industry representatives attended this event representing 30 states and over 65 Community Colleges and Technical High Schools. The conference resulted in an enormous collection of information on the best practices and effective approaches to teaching workforce skills in the renewable energy trades and industries. This paper discusses the following educational strategies: the hybrid course delivery model; interdisciplinary instruction; linking technical high schools with the local community college; integrating a renewable energy concentration within an energy management degree program; expanding hands-on opportunities through internship programs; and an industry-sponsored certificate program. Recommendations by educators are also discussed.

Weissman, Jane M.; Ferranti, Adele; Laflin, Kirk

2007-07-01T23:59:59.000Z

435

Reshaping the electricity supply industry  

SciTech Connect (OSTI)

Cigre`s Electra magazine published this interview with Alfonso Limbruno, CEO of ENEL S.p.A. To put the interview in perspective, this article begins with a brief overview of ENEL and a biographical sketch of Alfonso Limbruno, and also carries comments from Y. Thomas, secretary general of CIGRE. ENEL is a vertically integrated nationwide electricity company engaged in the generation, transmission, distribution, and sale of electricity, predominantly in Italy. ENEL`s share accounts for approximately 80 percent of Italian electricity demand. Measured by amount of electricity sold, ENEL is the third largest electric utility in the OECD countries and the second largest electric utility in Europe. Measured by revenues, ENEL is one of the largest companies in Italy, with a turnover of Lit. 37,632 billion. In 1995, ENEL served approximately 28.5 million customers and sold 211,607 GWh of electricity. ENEL`s gross installed generating capacity at December 31, 1995 was 55,906 MW. Alfonso Limbruno made all his career in the Italian electricity supply industry (ESI) and has had quite a unique experience: he went through a complete cycle of change of the ESI in his country, the nationalization of the sector in 1962 with the merging in ENEL of over 1,200 undertakings, and now the privatization of the company, along with a far reaching restructuring of the industry. He was appointed CEO of ENEL in August 1992.

NONE

1997-03-01T23:59:59.000Z

436

High school students use nation's top X-rays to study Illinois...  

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

industry, medical schools, and other research institutions. Click to enlarge. High school students use nation's top X-rays to study Illinois fossils By Chelsea Leu * October 2,...

437

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

E-Print Network [OSTI]

to simulate events such as frontal passages through a wind plant and their effect on turbine power production-eddy simulation model designed to predict the performance of large wind plants with a higher degree of accuracy larger, but the power production of these large plants has, in some cases, been lower than initially

438

Model Evaluation Report for Corrective Action Unit 98: Frenchman Flat, Nevada National Security Site, Nye County, Nevada, Revision 1  

SciTech Connect (OSTI)

Model evaluation focused solely on the PIN STRIPE and MILK SHAKE underground nuclear tests’ contaminant boundaries (CBs) because they had the largest extent, uncertainty, and potential consequences. The CAMBRIC radionuclide migration experiment also had a relatively large CB, but because it was constrained by transport data (notably Well UE-5n), there was little uncertainty, and radioactive decay reduced concentrations before much migration could occur. Each evaluation target and the associated data-collection activity were assessed in turn to determine whether the new data support, or demonstrate conservatism of, the CB forecasts. The modeling team—in this case, the same team that developed the Frenchman Flat geologic, source term, and groundwater flow and transport models—analyzed the new data and presented the results to a PER committee. Existing site understanding and its representation in numerical groundwater flow and transport models was evaluated in light of the new data and the ability to proceed to the CR stage of long-term monitoring and institutional control.

Ruskauff, Greg; Marutzky, Sam

2014-09-01T23:59:59.000Z

439

National Comfort Products: Order (2014-SE-16014)  

Broader source: Energy.gov [DOE]

DOE ordered National Comfort Products to pay a $16,000 civil penalty after finding National Comfort Products had failed to certify that certain models of central air conditioners and heat pumps comply with the applicable energy conservation standards.

440

Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets  

SciTech Connect (OSTI)

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

Sheppy, M.; Beach, A.; Pless, S.

2013-04-01T23:59:59.000Z

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.


441

Oak Ridge National Laboratory National Security Programs  

E-Print Network [OSTI]

Oak Ridge National Laboratory National Security Programs Dr. Michael A. Kuliasha, Chief Scientist National Security Technologies Oak Ridge National Laboratory #12;2 OAK RIDGE NATIONAL LABORATORY U. S Security Challenges #12;3 OAK RIDGE NATIONAL LABORATORY U. S. DEPARTMENT OF ENERGY How Will Our Enemies

442

National Advanced Biofuels Consortium (NABC), Biofuels for Advancing America (Fact Sheet)  

SciTech Connect (OSTI)

Introduction to the National Advanced Biofuels Consortium, a collaboration between 17 national laboratory, university, and industry partners that is conducting cutting-edge research to develop infrastructure-compatible, sustainable, biomass-based hydrocarbon fuels.

Not Available

2010-06-01T23:59:59.000Z

443

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

444

Utility and Industrial Partnerships  

E-Print Network [OSTI]

In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

Sashihara, T. F.

445

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

446

Industrial Assessment Center  

SciTech Connect (OSTI)

The University of Dayton (UD) performed energy assessments, trained students and supported USDOE objectives. In particular, the UD Industrial Assessment Center (IAC) performed 96 industrial energy assessment days for mid-sized manufacturers. The average identified and implemented savings on each assessment were $261,080 per year and $54,790 per year. The assessments served as direct training in industrial energy efficiency for 16 UD IAC students. The assessments also served as a mechanism for the UD IAC to understand manufacturing energy use and improve upon the science of manufacturing energy efficiency. Specific research results were published in 16 conference proceedings and journals, disseminated in 22 additional invited lectures, and shared with the industrial energy community through the UD IAC website.

J. Kelly Kissock; Becky Blust

2007-04-17T23:59:59.000Z

447

Industrial Development Fund (North Carolina)  

Broader source: Energy.gov [DOE]

The Industrial Development Fund provides financing grants and loans through designated municipalities and counties to assist in infrastructure improvements for targeted industrial projects. The...

448

Clean Energy Manufacturing Initiative Industrial Efficiency and...  

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

Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

449

Risk assessment for the Waste Technologies Industries (WTI) hazardous waste incinerator facility (east Liverpool, Ohio). Volume 4. Atmospheric dispersion and deposition modeling of emissions. Draft report  

SciTech Connect (OSTI)

The report constitutes a comprehensive site-specific risk assessment for the WTI incineration facility located in East Liverpool, OH. Volume IV describes the air dispersion model used to estimate air concentrations and particle deposition, as well as the results of the modeling exercise.

NONE

1995-11-01T23:59:59.000Z

450

Meeting the challenges of the new energy industry: The driving forces facing electric power generators and the natural gas industry  

SciTech Connect (OSTI)

The proceedings of the IGT national conference on meeting the challenges of the New Energy Industry: The driving forces facing Electric Power Generators and the Natural Gas Industry are presented. The conference was held June 19-21, 1995 at the Ambassador West Hotel in Downtown Chicago, Illinois. A separate abstract and indexing for each of the 18 papers presented for inclusion in the Energy Science and Technology Database.

NONE

1995-12-31T23:59:59.000Z

451

The theoretical model of the design-advertising agency in Almaty, Kazakhstan, based on the experience of the same business in Austin, Texas  

E-Print Network [OSTI]

This study discussed a theoretical model for the start-up stage of a design-advertising agency in Almaty, Kazakhstan. The model is designed based on the analysis of the same industry in Austin, Texas, USA and takes into account the national context...

Rozenberg, Julia Alexeevna

2012-06-07T23:59:59.000Z

452

IDC RP2 & 3 US Industry Standard Cost Estimate Summary.  

SciTech Connect (OSTI)

Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

Harris, James M.; Huelskamp, Robert M.

2015-01-01T23:59:59.000Z

453

Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst  

E-Print Network [OSTI]

9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

Mountziaris, T. J.

454

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take s e n G i n e e r i n G ( i s e ) ISE 105 Introduction to Industrial and Systems Engineering (2, Fa

Rohs, Remo

455

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering

Rohs, Remo

456

1 Industrial Electron Accelerators type ILU for Industrial Technologies  

E-Print Network [OSTI]

1 Industrial Electron Accelerators type ILU for Industrial Technologies The present work describes industrial electron accelerators of the ILU family. Their main parameters, design, principle of action the pulse linear accelerators type ILU are developed and supplied to the industry. The ILU machines

457

MECH 386 INDUSTRIAL FLUID MECHANICS INDUSTRIAL FLUID MECHANICS  

E-Print Network [OSTI]

MECH 386 ­ INDUSTRIAL FLUID MECHANICS 1 INDUSTRIAL FLUID MECHANICS MECH 386 Contact information Dr This course is an introduction to industrial fluid mechanics. According to J. C. R. Hunt (a famous fluid mechanics specialist): "industrial fluid mechanics broadly covers those aspects of the design, manufacture

458

Industrial Carbon Capture Project Selections | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA,Fermi NationalBusiness PlanPosting of|ofIndustrialIndustrialIndustrial

459

Advanced Industrial Materials (AIM) Program: Annual progress report FY 1995  

SciTech Connect (OSTI)

In many ways, the Advanced Industrial Materials (AIM) Program underwent a major transformation in Fiscal Year 1995 and these changes have continued to the present. When the Program was established in 1990 as the Advanced Industrial Concepts (AIC) Materials Program, the mission was to conduct applied research and development to bring materials and processing technologies from the knowledge derived from basic research to the maturity required for the end use sectors for commercialization. In 1995, the Office of Industrial Technologies (OIT) made radical changes in structure and procedures. All technology development was directed toward the seven ``Vision Industries`` that use about 80% of industrial energy and generated about 90% of industrial wastes. The mission of AIM has, therefore, changed to ``Support development and commercialization of new or improved materials to improve productivity, product quality, and energy efficiency in the major process industries.`` Though AIM remains essentially a National Laboratory Program, it is essential that each project have industrial partners, including suppliers to, and customers of, the seven industries. Now, well into FY 1996, the transition is nearly complete and the AIM Program remains reasonably healthy and productive, thanks to the superb investigators and Laboratory Program Managers. This Annual Report for FY 1995 contains the technical details of some very remarkable work by the best materials scientists and engineers in the world. Areas covered here are: advanced metals and composites; advanced ceramics and composites; polymers and biobased materials; and new materials and processes.

NONE

1996-04-01T23:59:59.000Z

460

ITP Industrial Distributed Energy: National Account Energy Alliance...  

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

Final Report for the Field Scale Test and Verification of a PureComfort 240M Combined Heat and Power System at the Ritz Carlton, San Francisco August 2007 Prepared by T. Wagner...

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.


461

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

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

in the global clean energy economy, creating new jobs while reducing carbon pollution," said US Energy Secretary Steven Chu. "This first of its kind project will bring...

462

Sandia National Laboratories: Brayton Cycle Workshop and Industry...  

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

(NESL) Brayton Lab SCO2 Brayton Cycle Technology Videos Heat Exchanger Development Diffusion Bonding Characterization Mechanical Testing Deep Borehole Disposal Nuclear...

463

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | Department of Energy FreeportEnergy IssuesGayland Barksdale Aboutof

464

United Nations Industrial Development Organization (UNIDO) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401 et seq.NorthUniopolis, Ohio:Low

465

Maryland-National Capital Building Industry Association Regulatory Burden  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-CostManufacturingMarginalMarket| DepartmentRFI

466

National Geothermal Data System Deployed to Serve Industry | Department of  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergy HealthCommentsAugust 2012NEVADA SPARKSNVEnergy

467

Sandia National Laboratories: Brayton Cycle Workshop and Industry Day  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducation Programs: CroSSlinksHumannitrideWorkshopsBrayton Cycle Workshop

468

Industrial-Strength UPF | Y-12 National Security Complex  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningtoA Journey Inside the Complex

469

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusiness Competition | Department ofDepartment ofDepartment

470

United Nations Industrial Development Organization (UNIDO) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-gTagusparkCalculator Jump to:Unionmet SingaporeEnergyInformation

471

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Informationof EnergyNapaInformation Us

472

EERE's Technologist in Residence Program: National Lab-Industry  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy CooperationRequirements Matrix U.S.7685Department

473

Sandia National Laboratories: help U.S. PV industry expand  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1development Sandia,evaluatingfull moduleresources gridstandby positions

474

Sandia National Laboratories: indus-try best practices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbine blade manufacturing the viabilityindium tin oxide

475

Sandia National Laboratories: real-time industrial energy management and  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbine bladelifetimepower-to-gasproduceradiation wastecontrol

476

United Nations Industrial Development Organization (UNIDO) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump(EC-LEDS) |Energy

477

United Nations Industrial Development Organization Feed | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy Now Jump(EC-LEDS) |EnergyInformation

478

University-Industry-National Laboratory Partnership to Improve Building  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept. ofUSA RS BasicInitiativeEngines | Department of

479

Sandia National Laboratories: JBEI Research Receives Strong Industry  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive SolarEducationStation TechnologyWind and Water Power Program

480

Argonne partners with industry on nuclear reactor work | Argonne National  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone byDear Friend, Please, markREGISTRATIONArgonne

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.


481

Sandia National Laboratories: New Energy and Indus-trial Technology  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -theErik Spoerke SSLSMolten-Salt Storage SystemAir Force

482

Methods in Industrial Biotechnology for Chemical Engineers  

E-Print Network [OSTI]

In keeping with the definition that biotechnology is really no more than a name given to a set of techniques and processes, the authors apply some set of fuzzy techniques to chemical industry problems such as finding the proper proportion of raw mix to control pollution, to study flow rates, to find out the better quality of products. We use fuzzy control theory, fuzzy neural networks, fuzzy relational equations, genetic algorithms to these problems for solutions. When the solution to the problem can have certain concepts or attributes as indeterminate, the only model that can tackle such a situation is the neutrosophic model. The authors have also used these models in this book to study the use of biotechnology in chemical industries. This book has six chapters. First chapter gives a brief description of biotechnology. Second chapter deals will proper proportion of mix of raw materials in cement industries to minimize pollution using fuzzy control theory. Chapter three gives the method of determination of temperature set point for crude oil in oil refineries. Chapter four studies the flow rates in chemical industries using fuzzy neutral networks. Chapter five gives the method of minimization of waste gas flow in chemical industries using fuzzy linear programming. The final chapter suggests when in these studies indeterminancy is an attribute or concept involved, the notion of neutrosophic methods can be adopted.

W. B. Vasantha Kandasamy; Florentin Smarandache

2008-07-13T23:59:59.000Z

483

NREL Energy Models Examine the Potential for Wind and Solar Grid Integration (Fact Sheet)  

SciTech Connect (OSTI)

As renewable energy generating sources, such as wind turbines and solar power systems, reach high levels of penetration in parts of the United States, the National Renewable Energy Laboratory (NREL) is helping the utility industry to peer into the future. Using software modeling tools that the lab developed, NREL is examining the future operation of the electrical grid as renewable energy continues to grow.

Not Available

2013-11-01T23:59:59.000Z

484

Industrial Decision Making  

E-Print Network [OSTI]

-05-30 Proceedings from the Thirtieth Industrial Energy Technology Conference, New Orleans, LA, May 6-9, 2008. Figure 1. Average Monthly Industrial Energy Prices (2) - 5 10 15 20 25 J an- 0 0 Ju l -0 0 Ja n- 0 1 Ju l -0 1 Ja n - 02 Ju l -0 2 Ja n - 0 3 Ju l - 0 3... Ja n - 0 4 J u l-04 Ja n - 0 5 Jul - 0 5 J an- 0 6 Jul - 0 6 Ja n- 07 Jul - 0 7 Ener gy Pr ic e ($ /MB t u) Electricity Fuel Oil Natural Gas Coal External market forces also drive industrial investment cycles. In the organic chemical...

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

485

Emulsified industrial oils recycling  

SciTech Connect (OSTI)

The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

Gabris, T.

1982-04-01T23:59:59.000Z

486

National Laboratory Impact Initiative  

Broader source: Energy.gov [DOE]

The National Laboratory Impact Initiative supports the relationship between the Office of Energy Efficiency & Renewable Energy and the national laboratory enterprise.  The national laboratories...

487

Title: Strategic Investing for a Sustainable Future: A New Approach to the Campaign for Divestment in the Fossil Fuel Industry  

E-Print Network [OSTI]

in the Fossil Fuel Industry Host: Charles H. Greene, Director, Ocean Resources and Ecosystems Program to encourage university divestment in the fossil fuel industry is achieving national attention. Student groups to convince the fossil fuel industry that it must play a constructive role in the transition from fossil fuels

Angenent, Lars T.

488

Industrial Assessment Center  

SciTech Connect (OSTI)

Since its inception, the University of Florida Industrial Assessment Center has successfully completed close to 400 energy assessments of small to medium manufacturing facilities in Florida, southern Georgia and southern Alabama. Through these efforts, recommendations were made that would result in savings of about $5 million per year, with an implementation rate of 20-25%. Approximately 80 engineering students have worked for the UF-IAC, at least 10 of whom went on to work in energy related fields after graduation. Additionally, through the popular course in Industrial Energy Management, many students have graduated from the University of Florida with a strong understanding and support of energy conservation methods.

Dr. Diane Schaub

2007-03-05T23:59:59.000Z

489

1989 Industry Directory  

SciTech Connect (OSTI)

Solid Waste Power's 1989 Industry Directory is divided into three main sections: the Company Directory, the Service Directory, and the Product Directory. The Company Directory lists all companies involved in the waste-to-energy industry that responded to a survey Solid Waste Power conducted in the fall of 1988. Companies are listed alphabetically. Each of the companies in the Company Directory is further referenced in the Service and Product directories follow. The Service and Product directories are broken down into various categories. Within each category is a list of the names of companies identified themselves as providing the service or product. Preceding the Service and Product directories is the Category Index.

Not Available

1998-12-01T23:59:59.000Z

490

Solar industrial process heat  

SciTech Connect (OSTI)

The aim of the assessment reported is to candidly examine the contribution that solar industrial process heat (SIPH) is realistically able to make in the near and long-term energy futures of the United States. The performance history of government and privately funded SIPH demonstration programs, 15 of which are briefly summarized, and the present status of SIPH technology are discussed. The technical and performance characteristics of solar industrial process heat plants and equipment are reviewed, as well as evaluating how the operating experience of over a dozen SIPH demonstration projects is influencing institutional acceptance and economoc projections. Implications for domestic energy policy and international implications are briefly discussed. (LEW)

Lumsdaine, E.

1981-04-01T23:59:59.000Z

491

Industrial Partnership Prosperity Game{trademark}  

SciTech Connect (OSTI)

Prosperity Games TM are an outgrowth and adaptation move/countermove and seminar War Games. Prosperity Games TM are simulations that explore complex issues in a variety of areas including economics, politics, sociology, environment, education, and research. These issues can be examined from a variety of perspectives ranging from a global, macroeconomic and geopolitical viewpoint down to the details of customer/supplier/market interactions in specific industries. All Prosperity Games TM are unique in that both the game format and the player contributions vary from game to game. This report documents the Industry Partnership Prosperity Game sponsored by the Technology Partnerships and Commercialization Center at Sandia National Laboratories. Players came from the Sandia line organizations, the Sandia business development and technology partnerships organizations, the US Department of Energy, academia, and industry The primary objectives of this game were to: explore ways to increase industry partnerships to meet long-term Sandia goals; improve Sandia business development and marketing strategies and tactics; improve the process by which Sandia develops long-term strategic alliances. The game actions and recommendations of these players provided valuable insights as to what Sandia can do to meet these objectives.

Boyak, K.; Berman, M.; Beck, D.

1998-02-01T23:59:59.000Z

492

National System Templates: Building Sustainable National Inventory...  

Open Energy Info (EERE)

Templates: Building Sustainable National Inventory Management Systems Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National System Templates: Building Sustainable...

493

600 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 50, NO. 1, JANUARY/FEBRUARY 2014 Time-Dependent Finite-Volume Model of  

E-Print Network [OSTI]

and the thermoelectric material. The new model is especially useful when an accurate picture of transients materials with a high thermoelectric figure of merit to convert heat to electricity [3]. Despite relatively and application interest in thermoelectric materials has been in thin films [5], [6] and the design of microscale

Pugh, Mary

494

National Security  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries &NST DivisionNationalEnergy

495

National Laboratory  

Office of Scientific and Technical Information (OSTI)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart ofMeasuringInformationOffice ofEnergy, OfficeUS Dept

496

National Laboratory  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData andFleetEngineeringAnnual ReportNational Lab Day -

497

National Laboratory  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData andFleetEngineeringAnnual ReportNational Lab Day -draws more

498

Site Environmental Report BROOKHAVEN NATIONAL LABORATORY  

E-Print Network [OSTI]

companies as the industry standard of measurement for "green" buildings. The LEED green building rating SUPPORT BUILDING CENTER FOR FUNCTIONAL NANOMATERIALS Green Buildings #12;Two buildings at Brookhaven National Laboratory have been awarded a LEED silver rating by the U.S. Green Building Council. LEED stands

499

Industrial Energy Use Indices  

E-Print Network [OSTI]

of variations for all industry types in warm versus cold regions of the U.S. generally is greater than unity. Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used...

Hanegan, A.; Heffington, W. M.

2007-01-01T23:59:59.000Z

500

Industry Partners Panel  

Broader source: Energy.gov [DOE]

Industry Panel presenters include: Michael G. Andrew, Director - Academic and Technical Programs, Advanced Products and Materials, Johnson Controls Power Solutions Michael A. Fetcenko, Vice President and Managing Director, BASF Battery Materials – Ovonic, BASF Corporation Adam Kahn, Founder and CEO, AKHAN Technologies, Inc. Stephen E. Zimmer, Executive Director, United States Council for Automotive Research (USCAR)