Sample records for national industry model

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

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

  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. 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...

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

    E-Print Network [OSTI]

    sharing and exchange in the building and construction industry across the life-cycle of a building of the vendors of interoperable industry software formed a partnership in 2000, the Building Lifecycle's lifecycle [BLIS 2000]. EnergyPlus, the "new generation" building energy performance simulation engine

  6. Defense programs industrial partnerships at Los Alamos National Laboratory

    SciTech Connect (OSTI)

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

    1996-10-01T23:59:59.000Z

    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.

  7. Iron and steel industry process model

    SciTech Connect (OSTI)

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

    1980-01-01T23:59:59.000Z

    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.

  8. A National Perspective on Energy and Industry

    Gasoline and Diesel Fuel Update (EIA)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil ElectricityUsing EIA's Energy

  9. Modeling the semiconductor industry dynamics

    E-Print Network [OSTI]

    Wu, Kailiang

    2008-01-01T23:59:59.000Z

    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 ...

  10. 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,...

  11. 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.

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

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

    ClimateECClimateA Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector A Model for the Nation: Promoting Education and Innovation in Vermont's...

  13. 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,...

  14. Sandia National Laboratories: Modeling

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

    from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... Sandia Team Attends World...

  15. Sandia National Laboratories: Modeling

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

    AtomicMolecular Massively Parallel Simulator) particle library, ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...

  16. Sandia National Laboratories: Modeling

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

    Modeling Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project On June 4, 2014, in Capabilities, Center for Infrastructure Research and Innovation (CIRI),...

  17. National Geothermal Data System Deployed to Serve Industry | Department of

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005 attheMohammed Khan -Department of Energy 8, 2011,Industry

  18. Sandia National Laboratories: Modeling

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

    to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...

  19. Energy Flow Models for the Steel Industry

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through...

  20. 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 *...

  1. Sandia National Laboratories: Computational Modeling & Simulation

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  2. Sandia National Laboratories: real-time industrial energy management...

    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...

  3. Sandia National Laboratories: indus-try best practices

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

    indus-try best practices Sandia-Electric Power Research Institute Partnership Publishes Photovoltaic Reliability Report On January 21, 2014, in Energy, Facilities, Grid...

  4. Sandia National Laboratories: New Energy and Indus-trial Technology...

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

    Energy and Indus-trial Technology Development Organization Mesa del Sol Project Is Finalist for International Smart Grid Action Network 2014 Award of Excellence On July 31, 2014,...

  5. Analysis and Clustering of Model Clones: An Automotive Industrial Experience

    E-Print Network [OSTI]

    Cordy, James R.

    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

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

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

    Model Demonstrates Offshore Wind Industry's Job Growth Potential New Model Demonstrates Offshore Wind Industry's Job Growth Potential May 18, 2015 - 3:11pm Addthis The U.S....

  7. Murphy Tools: Utilizing Extracted GUI Models for Industrial Software Testing

    E-Print Network [OSTI]

    Memon, Atif M.

    --graphical user interface; GUI test automation; model extraction; reverse engineering; industrial test environment is a technique for using models as a basis for automated test generation. The industrial adoption of MBTMurphy Tools: Utilizing Extracted GUI Models for Industrial Software Testing Pekka Aho VTT

  8. Characterizing emerging industrial technologies in energy models

    SciTech Connect (OSTI)

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

    2003-07-29T23:59:59.000Z

    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.

  9. Policy modeling for industrial energy use

    SciTech Connect (OSTI)

    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

    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.

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

    E-Print Network [OSTI]

    Sussex, University of

    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

  11. HVAC component data modeling using industry foundation classes

    E-Print Network [OSTI]

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

    2002-01-01T23:59:59.000Z

    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

  12. Industrial ecology at Lawrence Livermore National Laboratory summary statement

    SciTech Connect (OSTI)

    Gilmartin, T.J.

    1996-06-04T23:59:59.000Z

    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.

  13. Industrial ecology at Lawrence Livermore National Laboratory summary statement

    SciTech Connect (OSTI)

    Gilmartin, T.J.

    1996-05-21T23:59:59.000Z

    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.

  14. 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 &...

  15. Sandia National Laboratories: Modeling & Analysis

    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,...

  16. Sandia National Laboratories: Modeling & Analysis

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

    Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling & Analysis,...

  17. Online Modeling in the Process Industry for Energy Optimization

    E-Print Network [OSTI]

    Alexander, J.

    "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...

  18. Sandia National Laboratories: combustion modeling

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

    modeling Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models On March 3, 2015, in Computational Modeling & Simulation, CRF, Energy, Facilities, News,...

  19. Sandia National Laboratories: Systems Modeling

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

    AnalysisSystems Modeling Systems Modeling Technical Expertise Projects Demos Partners Biographies Publications Technical Expertise Computer Assisted (CA) System dynamics modeling...

  20. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperative Place: Beaver Dam,

  1. 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)

    David B. Frederick

    2011-02-01T23:59:59.000Z

    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.

  2. 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)

    David Frederick

    2012-02-01T23:59:59.000Z

    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.

  3. 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)

    Mike Lewis

    2014-02-01T23:59:59.000Z

    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.

  4. 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)

    Mike Lewis

    2013-02-01T23:59:59.000Z

    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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainabilityEnergyDownload4FY

  6. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAM RevisedFundingEnergyAPPLICATIONof Energy

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian Nuclear Warheads intoMansoor Ghassem ) )3/03 THUProductionofDepartment

  8. Maryland-National Capital Building Industry Association Regulatory Burden

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC) Richard Cowart,DepartmentBuilding andCAPITOL BUILDINGRFI

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook linkProtection »Safety

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2, 2014 inJohnSystems|in STEM Education | Department

  11. Sandia National Laboratories: Modeling & Analysis

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

    from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... NASA Award for Marginal...

  12. Sandia National Laboratories: Modeling & Analysis

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

    society and delivers resources that advance computing as a science ... Wind Generator Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy...

  13. 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,...

  14. Automated Verification of Model Transformations in the Automotive Industry

    E-Print Network [OSTI]

    Cordy, James R.

    Automated Verification of Model Transformations in the Automotive Industry Gehan M. K. Selim1] transformation developed for the automotive industry [29]. More specifically, we check the correctness reported on such industrial expe- riences by discussing the effects of MDD and the issues that still need

  15. Characterizing emerging industrial technologies in energy models

    E-Print Network [OSTI]

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

    2003-01-01T23:59:59.000Z

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

  16. Sandia National Laboratories: Modeling & Analysis

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

    to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...

  17. Cross-Industry Applications of a Confidential Reporting Model Linda J. Connell, Director

    E-Print Network [OSTI]

    Agreement that was signed in 1976 between the Federal Aviation Administration (FAA) and the National entitled the Aviation Safety Reporting System (ASRS) (Reynard, Billings, Cheaney, & Hardy, 1986). The FAA1 Cross-Industry Applications of a Confidential Reporting Model Linda J. Connell, Director Aviation

  18. Scope for industrial applications of production scheduling models and

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ERP Level 4 MES / CPM Production & Control Level 3 Control systems/sensors (DCS, PLC, SCADA, BMS management, planning, scheduling, quality control, recipe management, setpoint definition, integrationScope for industrial applications of production scheduling models and solution methods Iiro

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

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    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.

  20. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

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

  1. Energy Flow Models for the Steel Industry 

    E-Print Network [OSTI]

    Hyman, B.; Andersen, J. P.

    1998-01-01T23:59:59.000Z

    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...

  2. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    oil, starch and corn refining, since these can be a source of fuel products. The sugar cane industry

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

    E-Print Network [OSTI]

    Pennycook, Steve

    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

  4. 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

  5. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    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

    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.

  7. Hydrodynamic model of Fukushima-Daiichi NPP Industrial site flooding

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

    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...

  8. National Science Foundation Industry/University Cooperative Research Center for e-Design Improving Usability of Semantic Information

    E-Print Network [OSTI]

    Mountziaris, T. J.

    National Science Foundation Industry/University Cooperative Research Center for e-Design Improving Usability of Semantic Information REU Student: Edward Roy Mentor: Jeffrey McPherson Faculty Advisors: Dr in part by the National Science Foundation under NSF award number IIP-0838747-10. Any opinions, findings

  9. 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

  10. Industrial Hygiene Exposure Predictor 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently Asked Questions for DOEthe RankingReform atSolar2014 ||Alaska|Industrial

  11. A dynamic model of industrial energy demand in Kenya

    SciTech Connect (OSTI)

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

    1994-12-31T23:59:59.000Z

    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.

  12. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    iron and steel production. IEA Greenhouse Gas R&D Programme,tempera- ture range. IEA/Caddet, Sittard, The Netherlands.industry. Cheltenham, UK, IEA Greenhouse Gas R&D Programme,

  13. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    process residual like bagasse are now available (Cornland etsugar in- dustry uses bagasse and the edible oils industrySection 7.4.7. ). The use of bagasse for energy is likely to

  14. Industry

    SciTech Connect (OSTI)

    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

    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.

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

    E-Print Network [OSTI]

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

    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...

  16. 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...

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

    E-Print Network [OSTI]

    Greening, L.

    2006-01-01T23:59:59.000Z

    -established industrial energy model, ITEMS (Industrial Technology and Energy Modeling System), and is calibrated to MECS 1994 and 1998. However, as compared to ITEMS, MARKAL is an optimization framework. And, this particular version of MARKAL has a forecast horizon...

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

    E-Print Network [OSTI]

    Shen, Haipeng

    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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    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

  20. Sandia National Laboratories: modeling and simulation

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

    and simulation Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling, Modeling &...

  1. Sandia National Laboratories: Modeling and Analysis

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

    Modeling and Analysis Sandian Mark Boslough Featured on NOVA Episode about Chelyabinsk Meteor On November 20, 2013, in Computational Modeling & Simulation, Modeling, Modeling,...

  2. Kinetic Part-Feeding Models for Assembly Lines in Automotive Industries

    E-Print Network [OSTI]

    Noelle, Sebastian

    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

  3. Argonne X-rays validate quantum magnetism model | Argonne National...

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

    National Laboratory and Max Planck Institute for Solid State Research in Stuttgart, Germany have validated a theorized model of quantum magnetism by observing it firsthand in a...

  4. 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...

  5. Computerized operating cost model for industrial steam generation

    SciTech Connect (OSTI)

    Powers, T.D.

    1983-02-01T23:59:59.000Z

    Pending EPA regulations, establishing revised emission levels for industrial boilers are perceived to have an effect on the relative costs of steam production technologies. To aid in the comparison of competitive boiler technologies, the Steam Cost Code was developed which provides levelized steam costs reflecting the effects of a number of key steam cost parameters. The Steam Cost Code is a user interactive FORTRAN program designed to operate on a VAX computer system. The program requires the user to input a number of variables describing the design characteristics, capital costs, and operating conditions for a specific boiler system. Part of the input to the Steam Cost Code is the capital cost of the steam production system. The capital cost is obtained from a program called INDCEPT, developed by Oak Ridge National Laboratory under Department of Energy, Morgantown Energy Technology Center sponsorship.

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

    E-Print Network [OSTI]

    Stryk, Oskar von

    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

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

    Reports and Publications (EIA)

    2002-01-01T23:59:59.000Z

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

  8. 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

  9. 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...

  10. Sandia National Laboratories: Reference Model 3

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

    Reference Model 3 Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy, News, News &...

  11. Sandia National Laboratories: PV Performance Modeling Collaborative

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

    Modeling Collaborative PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy,...

  12. 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...

  13. Statistical evaluation of Hidden Markov Models topologies, based on industrial

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . Nowadays, industrial robots living in stochastic environment need faults detection to prevent any breakdown

  14. 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

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

    E-Print Network [OSTI]

    Barbosa, Alberto

    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

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

    E-Print Network [OSTI]

    Stryk, Oskar von

    High 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, [abele|bauer|weigold]@ptw.tu-darmstadt.de Abstract Application of industrial robots for high speed

  17. Industrial

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) EnvironmentalGyroSolé(tm)HydrogenRFP »summerlectures [ICO]default Sign In About |

  18. Industrial

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook link to04948 Site Map6871

  19. Industrial

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook link to04948 Site

  20. Sandia National Laboratories: improving PV performance model...

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

    accuracy PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News, News &...

  1. Sandia National Laboratories: improving PV performance model...

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

    technical rigor PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News,...

  2. Sandia National Laboratories: Photovoltaic System Model Calibration...

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

    Photovoltaic System Model Calibration Using Monitored System Data Sandians Win 'Best Paper' Award at Photovoltaic Conference in Japan On March 4, 2015, in Computational Modeling &...

  3. Sandia National Laboratories: model chemical processes

    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...

  4. 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

  5. Sandia National Laboratories: Severe Accident Modeling

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

    Experimental Testing Phenomenological Modeling Risk and Safety Assessment Cyber-Based Vulnerability Assessments Uncertainty Analysis Transportation Safety Fire Science Human...

  6. Business models for information commons in the pharmaceutical industry

    E-Print Network [OSTI]

    Bharadwaj, Ragu

    2009-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Tennessee, University of

    , multiple substrate types, and insulation levels. A base case and energy-efficient alternative canComparison of Software Models for Energy Savings from Cool Roofs Joshua New, Oak Ridge National Department of Energy as an industry-consensus tool to help building owners, manufacturers, distributors

  8. Sandia National Laboratories: Accelerated Climate Modeling for...

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

    Accelerated Climate Modeling for Energy New Project Is the ACME of Computer Science to Address Climate Change On December 3, 2014, in Analysis, Climate, Global Climate & Energy,...

  9. Sandia National Laboratories: Computational Modeling & Simulation

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

    primary purpose is to model severe-accident progression in light-water-reactor (LWR) nuclear power plants. Sandia developed MELCOR for the US Nuclear Regulatory ... Sandian...

  10. Sandia National Laboratories: hydrodynamic modeling platform...

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

    modeling platform SNL-EFDC Upgrades to SNL-EFDC: A Tool to Balance Marine Hydrokinetic Energy Generation Efficiency with Environmental Response On June 26, 2014, in Computational...

  11. Sandia National Laboratories: spray combustion model

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

    spray combustion model Sandia Expands an International Collaboration and Web Database on Engine Fuel Spray Combustion Research On November 13, 2012, in CRF, Energy, Energy...

  12. Sandia National Laboratories: Reference Model Project

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

    marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team includes a partnership between...

  13. Sandia National Laboratories: marine hydrokinetic reference models

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

    marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team includes a partnership between...

  14. 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 in the LNG shipping industry. KEYWORDS: Sloshing, multivariate heavy-tail distribution, asymptotic depen

  15. Review and evaluation of national airspace system models

    E-Print Network [OSTI]

    Odoni, Amedeo R.

    1979-01-01T23:59:59.000Z

    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). ...

  16. A Survey of National Transmission Grid Modeling Capabilities at DOE

    E-Print Network [OSTI]

    Howle, Victoria E.

    711712003 A Survey of National Transmission Grid Modeling Capabilities at DOE Laboratories Steve.1 Capabilities Template....................................................................... 4 3.2 Capabilities............................................................................. 16 3.3 Completed Survey Forms................................................................. 17

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

    E-Print Network [OSTI]

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

    1980-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

  19. A National Strategy for Advancing Climate Modeling

    SciTech Connect (OSTI)

    Dunlea, Edward; Elfring, Chris

    2012-12-04T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Levanthal, M.; Tegen, S.

    2013-06-01T23:59:59.000Z

    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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota1Resource forNationalA National Skills

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

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1996-02-26T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Stryk, Oskar von

    . 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

  5. DYNAMIC MODEL OF AN INDUSTRIAL HEAT PUMP USING WATER AS REFRIGERANT

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 DYNAMIC MODEL OF AN INDUSTRIAL HEAT PUMP USING WATER AS REFRIGERANT CHAMOUN MARWAN as refrigerant is investigated. Technical problems restraining the feasibility of this industrial heat pump of Refrigeration 35, 4 (2012) 1080-1091" DOI : 10.1016/j.ijrefrig.2011.12.007 #12;2 NOMENCLATURE A Cross sectional

  6. PERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    technologies in manufacturing automation but they have not been specifically intended for industrial controlPERFORMANCE ANALYSIS OF INDUSTRIAL ETHERNET NETWORKS BY MEANS OF TIMED MODEL-CHECKING Daniel Witsch networks are promising for the harmonization of the communication technologies in manufacturing automation

  7. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of Energy ThisThis guide isJanuary 2014 |

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:Administration Sandia CorporationNuclearQuestionsAdministration

  10. Ames Lab Interns Make Their Research Mark in Industry, Academia and at DOE National Labs

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta Fe MetroWeinbergAmericanSixAmerican-Made SRF

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferAprilOverview | Department of Energy Thisof Energy A robust

  12. How to obtain the National Energy Modeling System (NEMS)

    Reports and Publications (EIA)

    2013-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1994-02-24T23:59:59.000Z

    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).

  14. A model for a national low level waste program

    SciTech Connect (OSTI)

    Blankenhorn, James A [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    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.

  15. The Swedish Model: Balancing Markets and Gifts in the Music Industry

    E-Print Network [OSTI]

    Baym, Nancy K.

    2011-01-01T23:59:59.000Z

    The internet has destabilized media industries. This article uses the case of Swedish independent music labels, musicians, and fans to articulate one model for understanding the new roles each can take in this new context. ...

  16. Services and the Business Models of Product Firms: An Empirical Analysis of the Software Industry

    E-Print Network [OSTI]

    Suarez, Fernando F.

    Some product firms increasingly rely on service revenues as part of their business models. One possible explanation is that they turn to services to generate additional profits when their product industries mature and ...

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

    E-Print Network [OSTI]

    Turk, Danny Carroll

    1993-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Stryk, Oskar von

    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 for industrial robots is automated pre-machining (deburring and fettling) of cast parts. There, industrial robots

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

    E-Print Network [OSTI]

    Opara, Ethelbert Okechukwu

    1993-01-01T23:59:59.000Z

    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...

  20. 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;...

  1. The National Energy Modeling System: An overview 1998

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    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

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

    SciTech Connect (OSTI)

    Bazjanac, Vladimir

    2007-08-01T23:59:59.000Z

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

  4. National resources for development -- a suggested decision model

    E-Print Network [OSTI]

    Henry, Sam Sherrill

    1973-01-01T23:59:59.000Z

    December 1973 Ma]or Sub]ect i Political Science NAT1ONAL RESOURCES FOR DEVELOPMENT ? A SUGGESTED DECISION MODEL A Thesis SAM SHERRILL HENRY, JR, Approved as to style and content by& ha rman of Comm ttee Gi uDP 'uu P Head of Depar ment Mem'ber Me... er December 19'73 ABSTRACT National Resources for Development -- A Suggested Decision Model (December 1973) Sam Sherrill Henry, Jr. , B. A. , Texas ARM University Directed bye Dr, Robert A. Bernstein This study is designed to analyze selected...

  5. Industrial Sector Energy Efficiency Modeling (ISEEM) Framework Documentation

    E-Print Network [OSTI]

    Karali, Nihan

    2014-01-01T23:59:59.000Z

    Energy Supply Modeling Package EFOM-12C Mark 1 MathematicalEnergy Supply Modeling Package EFOM-12C Mark 1 User’s Guide,the Economy EU European Union EFOM Energy Flow Optimization

  6. Model documentation Renewable Fuels Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1996-01-01T23:59:59.000Z

    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.

  7. 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...

  8. VERIFICATION AND VALIDATION OF MODELS IN THE NATIONAL SCIENCE DIGITAL LIBRARY

    E-Print Network [OSTI]

    Stevenson, D. E. "Steve"

    VERIFICATION AND VALIDATION OF MODELS IN THE NATIONAL SCIENCE DIGITAL LIBRARY D. E. STEVENSON Abstract. The National Science Digital Library is the Nation's online library for education and re- search Science Digital Library in a Nutshell "The National Science Foundation's (NSF) National Science

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005 attheMohammed Khan -DepartmentDepartment

  10. Review of petroleum transport network models and their applicability to a national refinery model

    SciTech Connect (OSTI)

    Hooker, J. N.

    1982-04-01T23:59:59.000Z

    This report examines four petroleum transport network models to determine whether parts of them can be incorporated into the transportation component of a national refinery model. Two questions in particular are addressed. (a) How do the models under examination represent the oil transport network, estimate link capacities, and calculate transport costs. (b) Are any of these network representations, capacity estimates, or cost functions suitable for inclusion in a linear programming model of oil refinery and primary distribution in the US. Only pipeline and waterway transport is discussed. The models examined are the Department of Energy's OILNET model, the Department of Transportation's Freight Energy Model, the Federal Energy Administration Petroleum Transportation Network Model, and an Oak Ridge National Laboratory oil pipeline energy model. Link capacity and cost functions are recommended for each transport mode. The coefficients of the recommended pipeline cost functions remain to be estimated.

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

    E-Print Network [OSTI]

    Keren, Nir

    2004-09-30T23:59:59.000Z

    ) benchmarking of process safety elements among facilities; and (3) use of incident data collection from various sources for industrial safety performance assessment. The methods presently available for measurement of process safety within facilities... to explore the potential of integrating data sources and harnessing these databases for industrial safety performance assessment. In this study we developed models to pursue the measurement of samples of the strata described above. The measurement...

  12. 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

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

    E-Print Network [OSTI]

    Kurtz II, Donn M.

    1999-04-01T23:59:59.000Z

    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 ...

  14. 2012 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Advanced Test Reactor Complex Cold Waste Pond

    SciTech Connect (OSTI)

    Mike Lewis

    2013-02-01T23:59:59.000Z

    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.

  15. 2011 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site's Advanced Test Reactor Complex Cold Waste Pond

    SciTech Connect (OSTI)

    Mike Lewis

    2012-02-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    . Characterization of the U.S. Industrial/Commercial Boiler Population (May 2005),Submitted to Oak RidgeNational Laboratory, http://www.eea-inc.com/natgas_reports/BoilersFinal.pdf Edmonds J, Clarke K, Dooley J, Kim S.H, Smith SJ. (2004) “Stabilization of CO2 in a B2...-003 Xenergy,Inc.United States Industrial Electric Motor Systems Market Opportunities Assessment, (December 2002), Prepared for US Department of Energy’s THE U.S. Department Of Energy’s Office Of Industrial Technologies And Oak RidgeNational Laboratory. http://eereweb.ee.doe.gov/industry/bestpractices/pdfs/mtrmkt.pdf ...

  17. Modeling National Impacts for the Building America Program

    SciTech Connect (OSTI)

    Coughlin, Katie M.; McNeil, Michael A.

    2006-06-15T23:59:59.000Z

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

  18. 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

  19. Sandia National Laboratories: Industry

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

    Trough Systems CLFR Power Towers Acciona Abengoa Sener Solar Millennium SkyFuel Siemens Ausra SPGMann SkyFuel Abengoa Brightsource Energy SolarReserve eSolar Dish Engine...

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1995-02-17T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1984-09-01T23:59:59.000Z

    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.

  3. 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

  4. 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)

    NONE

    1997-09-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kardell, Amy Louise

    2004-09-30T23:59:59.000Z

    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...

  6. Structuring Measurements for Modeling and the Deployment of Industrial Wireless Networks

    E-Print Network [OSTI]

    Zilic, Zeljko

    . Replacing wired units with wireless sensor network (WSN) nodes offers more flexibility, and ultimately coverage during its deployment. Wireless networking devices are inherently power-limited, which limits1 Structuring Measurements for Modeling and the Deployment of Industrial Wireless Networks Rong

  7. Modeling Physical Quantities in Industrial Systems using Fluid Stochastic Petri Nets

    E-Print Network [OSTI]

    Gribaudo, Marco

    of a case study, in which the quantity to be regulated is a real fluid quantity: the fuel demand in a gas: Start Fuel Controller 2 Fluid Stochastic Petri Nets Fluid Stochastic Petri Nets are Petri net basedModeling Physical Quantities in Industrial Systems using Fluid Stochastic Petri Nets M. Gribaudo

  8. Industrial motivation for interactive shape modeling: a case study in conceptual automotive design

    E-Print Network [OSTI]

    Toronto, University of

    Industrial motivation for interactive shape modeling: a case study in conceptual automotive design illus- trated within the space of conceptual automotive design. Automo- tive design provides a unique but automotive designers almost exclusively work with sketches, clay and other traditional media. Design

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

    SciTech Connect (OSTI)

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

    2011-01-01T23:59:59.000Z

    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.

  10. Impacts of Modeled Recommendations of the National Commission on Energy Policy

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    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).

  11. Model documentation renewable fuels module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1997-12-18T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1996-04-30T23:59:59.000Z

    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.

  14. 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

  15. 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)

    Electric Power Research

    2007-11-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1995-07-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1995-07-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kardell, Amy Louise

    2004-09-30T23:59:59.000Z

    This study uses qualitative comparative analysis (QCA) to examine the basis of industry political power by assessing conditions of economic interdependence and political action associated with the passage of the Economic ...

  19. Distributed generation capabilities of the national energy modeling system

    SciTech Connect (OSTI)

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

    2003-01-01T23:59:59.000Z

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

  20. 2007), “What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns,” Working Paper 13068, National Bureau of Economic Research

    E-Print Network [OSTI]

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

    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

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

    SciTech Connect (OSTI)

    NONE

    1995-02-01T23:59:59.000Z

    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.

  2. Sandia National Laboratories: model the behavior of stars

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

    matching the interior of the sun, researchers at Sandia National Laboratories' Z machine have been able to determine experimentally, for the first time in history, iron's...

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

    SciTech Connect (OSTI)

    Reister, D.B.

    1982-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    A Collaborative Model for a Sustainable Management System for Energy at Small to Medium Industrial Enterprises Mark Imel Technical Manager ? Energy Services Burns & McDonnell Kansas City, MO Michael Gromacki Vice President ? Engineering... adequate resources to implement a sustainable energy management program. A strategy to overcome this constraint is to collaborate and develop partnerships between the company and other external resources. This paper describes a unique business...

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

    SciTech Connect (OSTI)

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

    2009-05-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

  7. 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...

  8. Sandia National Laboratories: open source WEC modeling tool

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

    source WEC modeling tool Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy, News,...

  9. National Securities Technologies _NSTec_ Livermore Operations...

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

    NAICS North American Industry Classification System NIF National Ignition Facility NNSA National Nuclear Security Administration NRTL Nationally Recognized Testing Laboratory...

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1993-05-01T23:59:59.000Z

    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.

  12. The US National Multi-Model Ensemble ISI Prediction System Ben Kirtman (University of Miami)

    E-Print Network [OSTI]

    Miami, University of

    The US National Multi-Model Ensemble ISI Prediction System Ben Kirtman (University of Miami) The newly emerging US National Multi-Model Ensemble (NMME) sub-seasonal to interannual (ISI) prediction includes experimental real-time ISI forecasting that leverages existing CTB partner activities. The NMME

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    of renewable biomass resources. A New Approach to Biomass #12;To create new uses for agricultural products biomass to produce industrial and consumer products. While biomass holds potential for a ready supply of renewable energy, the primary success factor for this resource--the ability to profitably produce products

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

    SciTech Connect (OSTI)

    NONE

    1996-05-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1995-03-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    An Embedded Boundary Method for the Modeling of Unsteady Combustion in an Industrial Gas the simulation of an experimental natural gas­fired furnace are shown. \\Lambda This work was performed under

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

    E-Print Network [OSTI]

    Roop, J. M.

    -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...

  20. 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...

  1. Sandia National Laboratories: multi-physics engineering modeling...

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

    multi-physics engineering modeling and simulation Caterpillar, Sandia CRADA Opens Door to Multiple Research Projects On April 17, 2013, in Capabilities, Computational Modeling &...

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

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    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.

  3. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14 FEDERAL EMPLOYEEAdministration takes part inNational

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Ohya, Akihisa

    Remote foods shopping robot system in a supermarket Tetsuo TOMIZAWA, National Inst as a teleoperated tool for accessing and manipulating remote objects. This system attempts to answer the challenge in this research is to help people buy fresh food in a supermarket from a remote location using the Internet. We

  7. 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...

  8. Sandia National Laboratories Releases Updated Wind Plant Modeling...

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

    Releases Updated Wind Plant Modeling Guidelines Revamped Simulation Tool to Power Up Wave Energy Development DOE's AVESTAR Center to Expand Research, Training Opportunities...

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

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

    Water Operation Model (URGWOM) is a suite of tools developed cooperatively by water management agencies in New Mexico to better understand, predict, plan, and account for surface...

  10. Smart Grid Technology Interactive Model | Argonne National Laboratory

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

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

  11. LANL researchers use computer modeling to study HIV | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTubahq.na.gov OfficeAdministration

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14 FEDERAL EMPLOYEEAdministrationSigned |Security

  13. Sandia Energy - A Model for the Nation: Promoting Education 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobsJulyCatalysts and2015 VIII

  14. The National Environmental Justice Advisory Committee (NEJAC) Model Plan

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssuesEnergy Solar Decathlon2001Competitiveness |The Making

  15. Physics and Engineering Models | National Nuclear Security Administration

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding accessPeptoidLabPhysics Physics Our science answersPhysicsand

  16. National Energy Modeling System (NEMS) | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpen Energy Information National AllianceDayNEMS) Jump to:

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

    SciTech Connect (OSTI)

    NONE

    1994-12-30T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2012-03-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Londergan, John Thomas

    1987-01-01T23:59:59.000Z

    TRANSPORT PARAMETER DETERMINATION AND MODELING OF SODIUM AND STRONTIUM PLUMES AT THE IDAHO NATIONAL ENGINEERING LABORATORY A Thesis by JOHN THOMAS LONDERGAN Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1987 Major Subject: Geophysics TRANSPORT PARAMETER DETERMINATION AND MODELING OF SODIUM AND STRONTIUM PLUMES AT THE IDAHO NATIONAL ENGINEERING LABORATORY A Thesis by JOHN THOMAS LONDERGAN Approved...

  20. Congestion modeling and mitigation in the National Airspace System

    E-Print Network [OSTI]

    Bertini, Robert L.

    · Standard FEM implementations might assume uniform element widths when computing stiffness matrix and load time ­ A complete stochastic profile of the solution can be generated in a single run of the model (a

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

    E-Print Network [OSTI]

    Victoria, University of

    On 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 Effective, economic extraction of ocean wave energy requires an intimate under- standing of the ocean wave

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

    E-Print Network [OSTI]

    Dyer, Bill

    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

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

    SciTech Connect (OSTI)

    Not Available

    1981-10-29T23:59:59.000Z

    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.

  4. Model documentation renewable fuels module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Ribera Landivar, Luis Alejandro

    2005-08-29T23:59:59.000Z

    The U.S. sheep industry has been declining in size for many years. Many factors have contributed to the decline of the sheep industry including declining consumption of lamb and mutton, the growth in manmade fiber use, ...

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

    E-Print Network [OSTI]

    Haedicke, Michael Anthony

    2008-01-01T23:59:59.000Z

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

  7. Argonne National Laboratory Smart Grid Technology Interactive Model

    ScienceCinema (OSTI)

    Ted Bohn

    2010-01-08T23:59:59.000Z

    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.

  8. Argonne National Laboratory Smart Grid Technology Interactive Model

    SciTech Connect (OSTI)

    Ted Bohn

    2009-10-13T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Utrecht, Universiteit

    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

  11. Modeling Reactive Flows in Porous Media Peter Lichtner (lead PI), Los Alamos National Laboratory

    E-Print Network [OSTI]

    Mills, Richard

    and reactive transport in porous media. Apply it to field-scale studies of Geologic CO2 sequestrationModeling Reactive Flows in Porous Media Peter Lichtner (lead PI), Los Alamos National Laboratory NCCS Users Meeting March 28, 2007 #12;Introduction Companion to SciDAC-II project, "Modeling

  12. 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]

    Mössenböck, Hanspeter

    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

  13. 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

  14. NEMS industrial module documentation report

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    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...

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

    SciTech Connect (OSTI)

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

    1985-10-01T23:59:59.000Z

    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.

  17. 2013 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site’s Advanced Test Reactor Complex Cold Waste Pond

    SciTech Connect (OSTI)

    Mike Lewis

    2014-02-01T23:59:59.000Z

    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.

  18. 2010 Annual Industrial Wastewater Reuse Report for the Idaho National Laboratory Site’s Advanced Test Reactor Complex Cold Waste Pond

    SciTech Connect (OSTI)

    mike lewis

    2011-02-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2005-09-01T23:59:59.000Z

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

  20. Sandia National Laboratories: Industry Links

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

    Trough Systems CLFR Power Towers Acciona Abengoa Sener Solar Millennium SkyFuel Siemens Ausra SPGMann SkyFuel Abengoa Brightsource Energy SolarReserve eSolar Dish Engine...

  1. Supporting Our Nation's Nuclear Industry

    ScienceCinema (OSTI)

    Lyons, Peter

    2013-05-29T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1983-05-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Jearasatit, Apichart

    2010-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Viar, W. L.

    1984-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Haedicke, Michael Anthony

    2008-01-01T23:59:59.000Z

    European market to genetically modified foods. She arguesfoods that many industry members felt were not compatible with organic agriculture, including ingredients made from genetically modifiedgenetically modified crops. Below, I discuss the distinction that co-op leaders make between food-

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

    E-Print Network [OSTI]

    Viar, W. L.

    1984-01-01T23:59:59.000Z

    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...

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOf SmartIndustrial Users The

  8. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOf SmartIndustrial Users

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) EnvironmentalGyroSolé(tm)HydrogenRFP »summerlectures [ICO]default Sign InIndustrial

  10. 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...

  11. Dynamics of Regulatory Change: How Globalization Affects National Regulatory Policies

    E-Print Network [OSTI]

    Vogel, David; Kagan, Robert A.

    2002-01-01T23:59:59.000Z

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

  12. Research | Argonne National Laboratory

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

    our dependence on imported energy and to enhance our national security. In addition, Argonne provides many ways for researchers from academia, industry and other government...

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

    E-Print Network [OSTI]

    Ribera Landivar, Luis Alejandro

    2005-08-29T23:59:59.000Z

    . The 2002 Farm Bill included a marketing loan program for wool. The loan rates are set to $0.40 per pound for un-graded wool, $1.00 per pound for graded wool. In recent years exchange rate changes have had a large impact on the industry affecting lamb...

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

    E-Print Network [OSTI]

    Laitner, J. A.

    2007-01-01T23:59:59.000Z

    for energy policy assessments compared to those which more properly reflect a trade-off between new capital investment and end-use energy savings – as both capital and energy are used to satisfy a specific industrial service demand. The paper builds on a...

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    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.

  16. Local content requirements and industrial development : economic analysis and cost modeling of the automotive supply chain

    E-Print Network [OSTI]

    Veloso, Francisco, 1969-

    2001-01-01T23:59:59.000Z

    This dissertation addresses the issue of performance standards in developing nations, focusing on the role of local content requirements. It proposes a theoretical framework to understand the impact of this policy on the ...

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

    SciTech Connect (OSTI)

    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

    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.

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

    SciTech Connect (OSTI)

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

    2008-02-28T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2012-12-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

  1. Coal Market Module of the National Energy Modeling System Model Documentation 2013

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at CommercialDecadeReservesYear JanDecade Year-0 Year-1EIA3QCoal

  2. Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2014

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProvedFeet) Year%Year Jan Feb3 0 1 2 3ProductionOil and Gas Supply

  3. The Electricity Market Module of the National Energy Modeling System: Model Documentation 2014

    Gasoline and Diesel Fuel Update (EIA)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S.6, 2014 Independent StatisticsThe Demand

  4. 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]

    Liu, Y. A.

    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

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

    E-Print Network [OSTI]

    Borrel, Monique J

    2004-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Borrel, Monique J

    2002-01-01T23:59:59.000Z

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

  7. Customer service model for waste tracking at Los Alamos National Laboratory

    SciTech Connect (OSTI)

    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

    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.

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

    SciTech Connect (OSTI)

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

    2010-08-15T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    S.W. Koch; R.G.Balice

    2004-11-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2009-07-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1997-12-18T23:59:59.000Z

    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.

  12. A Hybrid Model Based and Statistical Fault Diagnosis System for Industrial Process

    E-Print Network [OSTI]

    Lin, Chen-Han

    2014-11-21T23:59:59.000Z

    This thesis presents a hybrid model based and statistical fault diagnosis system, which applied on the nonlinear three-tank model. The purpose of fault diagnosis is generating and analyzing the residual to find out the fault occurrence. This fault...

  13. Mobile robotics research at Sandia National Laboratories

    SciTech Connect (OSTI)

    Morse, W.D.

    1998-09-01T23:59:59.000Z

    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.

  14. Industrial Engineering Industrial Advisory Board

    E-Print Network [OSTI]

    Gelfond, Michael

    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

  15. Model documentation coal market module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    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.

  16. 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]

    Helluy, Philippe

    for industrial property rights. Modelling of cavitating flow Control volume liquid Steam and air bubbles Volume1 Modelling of two phase flow and application in industries CR/ARH | 20/12/2007 | © Robert Bosch, distribution, as well as in the event of applications for industrial property rights. Dr. Uwe Iben Robert Bosch

  17. The Oak Ridge National Laboratory automobile heat pump model: User`s guide

    SciTech Connect (OSTI)

    Kyle, D.M.

    1993-05-01T23:59:59.000Z

    A computer program has been developed to predict the steady-state performance of vapor compression automobile air conditioners and heat pumps. The code is based on the residential heat pump model developed at Oak Ridge National Laboratory. Most calculations are based on fundamental physical principles, in conjunction with generalized correlations available in the research literature. Automobile air conditioning components that can be specified as inputs to the program include open and hermetic compressors; finned tube condensers; finned tube and plate-fin style evaporators; thermal expansion valve, capillary tube and short tube expansion devices; refrigerant mass; evaporator pressure regulator; and all interconnecting tubing. The program can be used with a variety of refrigerants, including R134a. Methodologies are discussed for using the model as a tool for designing all new systems or, alternatively, as a tool for simulating a known system for a variety of operating conditions.

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

    SciTech Connect (OSTI)

    Gumerman, Etan; Marnay, Chris

    2004-01-16T23:59:59.000Z

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

  19. 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)

    Furman, N.S.

    1988-04-01T23:59:59.000Z

    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.

  20. 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

  1. Sandia Energy - Standards and Industry Outreach/Partnerships

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

    Security for Electric Infrastructure National Supervisory Control and Data Acquisition (SCADA) Standards and Industry OutreachPartnerships Standards and Industry Outreach...

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

    Office of Environmental Management (EM)

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

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

    E-Print Network [OSTI]

    Medraj, Mamoun

    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

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

    SciTech Connect (OSTI)

    Grant Hawkes; James O'Brien

    2012-06-01T23:59:59.000Z

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

  5. From International Computer Performance and Dependability Symposium, Erlangen, Germany, April 1995, pp.285 294 MODELING RECYCLE: A CASE STUDY IN THE INDUSTRIAL USE OF

    E-Print Network [OSTI]

    Illinois at Urbana-Champaign, University of

    85721 Center for Reliable and High-Performance Computing Coordinated Science Laboratory UniversityFrom International Computer Performance and Dependability Symposium, Erlangen, Germany, April 1995, pp.285 294 MODELING RECYCLE: A CASE STUDY IN THE INDUSTRIAL USE OF MEASUREMENT AND MODELING Luai M

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

    E-Print Network [OSTI]

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

    the available options and appropriate strategy is to properly understand the customers’ thermal and electric energy needs, and the existing Combined Heat and Power (CHP) system. This paper outlines an approach for developing such models at low cost, and using...

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

    E-Print Network [OSTI]

    Flandro, Gary A.

    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

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

    E-Print Network [OSTI]

    Zhu, Yu

    2011-08-08T23:59:59.000Z

    uncertainty with rigorous models. For optimal operation, this dissertation takes cryogenic air separation units as a primary case study and focuses on formulations for handling uncertain product demands, contractual constraints on customer satisfaction levels...

  9. 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.

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

    E-Print Network [OSTI]

    Lee, Ruri

    2013-01-01T23:59:59.000Z

    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. ...

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    Technology Support Unit (ETSU), 1988. “High Level Control ofCircle Industries and SIRA (ETSU, 1988). The LINKman system

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

    SciTech Connect (OSTI)

    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

    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.

  13. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency Visit | National Nuclear13 Denver West ParkwayNRELand

  14. General overview of the Nigerian construction industry

    E-Print Network [OSTI]

    Dantata, Sanusi (Sanusi A.)

    2008-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Laitner, J. A.

    2007-01-01T23:59:59.000Z

    Traditional representation of improved end-use efficiency in the manufacturing sector has tended to assume “a net cost” perspective. In other words, the assumption for many models is that any change within the energy end-use patterns must imply a...

  16. Making Industry Part of the Climate Solution

    SciTech Connect (OSTI)

    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

    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.

  17. 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...

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

    E-Print Network [OSTI]

    Zhu, Yu

    2011-08-08T23:59:59.000Z

    for future operations (years/months/weeks). Because this layer has a strong relationship with market, it is very important for managers and engineers to make planning and scheduling decisions with consideration of various customer satisfactions... managers with the tools necessary to evaluate the trade-off between short-term profitability and customer satisfaction in this level. In this dissertation, we adopt nonlinear programming formulations with rigorous models to handle energy cost...

  19. From Refining Sugar to Growing Tomatoes: Industrial Ecology and Business Model Evolution

    E-Print Network [OSTI]

    Short, Samuel W.; Bocken, Nancy M.P.; Barlow, Claire Y.; Chertow, Marian R.

    2014-10-13T23:59:59.000Z

    innovation – Important process improvements, but not proactive business model innovation. 1998: Combined heat and Power (CHP) New CHP installation – combined cycle gas turbine (CCGT) CHP generating steam for on-site use, and electricity. Lower... and distillation BETAINE for cosmetics, 11kt CO2 liquefaction Feedback to assist growers Flue gas CO2 Steam In-situ composting Rain water harvesting Screen and pack Grade and pack Dry, screen, mix Screen, grade CO2 emissions Sugar extract Low temperature...

  20. 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

  1. Assessing Spatial and Attribute Errors of Input Data in Large National Datasets for use in Population Distribution Models

    SciTech Connect (OSTI)

    Patterson, Lauren A [ORNL; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2007-01-01T23:59:59.000Z

    Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing performance and internet availability. The ability to store and transmit large datasets has encouraged the development of national datasets in geospatial format. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized, and are considered to be of acceptable accuracy. At Oak Ridge National Laboratory, a national population model incorporating multiple ancillary variables was developed and one of the inputs required is a school database. This paper examines inaccuracies present within two national school datasets, TeleAtlas North America (TANA) and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they serve as locations containing dense clusters of vulnerable populations. It is therefore essential to validate the quality of the school input data, which was made possible by increasing national coverage of high resolution imagery. Schools were also chosen since a 'real-world' representation of K-12 schools for the Philadelphia School District was produced; thereby enabling 'ground-truthing' of the national datasets. Analyses found the national datasets not standardized and incomplete, containing 76 to 90% of existing schools. The temporal accuracy of enrollment values of updating national datasets resulted in 89% inaccuracy to match 2003 data. Spatial rectification was required for 87% of the NCES points, of which 58% of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets together, the resultant dataset provided a more useful and accurate solution. Acknowledgment Prepared by Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285, managed by UT-Battelle, LLC for the U. S. Department of Energy undercontract no. DEAC05-00OR22725. Copyright This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  2. An interregional trade flow model for the Texas feed grain industry

    E-Print Network [OSTI]

    Knudson, Lawrence Bruce

    1976-01-01T23:59:59.000Z

    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...

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

    SciTech Connect (OSTI)

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

    2013-05-30T23:59:59.000Z

    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.

  4. From Geometric Modeling to Product Data Models: Collaboration Between Engineering, Computer Science, and Industry at Leeds University

    E-Print Network [OSTI]

    Whitney, Daniel

    to include concurrent engineering.1 In both cases, the Unit has established strong ties with the Computer with defining product data models that will support concurrent engineering. Both fabrication and assembly in manufacturing must be structured like concurrent engineering activities: the users of the research must be part

  5. Webinar: Delivering Transformational HPC Solutions to Industry

    SciTech Connect (OSTI)

    Streitz, Frederick

    2014-04-15T23:59:59.000Z

    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.

  6. Webinar: Delivering Transformational HPC Solutions to Industry

    ScienceCinema (OSTI)

    Streitz, Frederick

    2014-07-22T23:59:59.000Z

    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.

  7. 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...

  8. Sandia National Laboratories: stainless steel

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

    stainless steel Sandia-California Partners with Japanese National Institute of Advanced Industrial Science and Technology (AIST) in Hydrogen-Materials Research On July 26, 2013, in...

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

    SciTech Connect (OSTI)

    Droppo, James G.

    2006-07-01T23:59:59.000Z

    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.

  10. Industrial process surveillance system

    DOE Patents [OSTI]

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

    1998-06-09T23:59:59.000Z

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

  11. Risk and Vulnerability Assessment Using Cybernomic Computational Models: Tailored for Industrial Control Systems

    SciTech Connect (OSTI)

    Abercrombie, Robert K [ORNL; Sheldon, Federick T. [University of Memphis; Schlicher, Bob G [ORNL

    2015-01-01T23:59:59.000Z

    There are many influencing economic factors to weigh from the defender-practitioner stakeholder point-of-view that involve cost combined with development/deployment models. Some examples include the cost of countermeasures themselves, the cost of training and the cost of maintenance. Meanwhile, we must better anticipate the total cost from a compromise. The return on investment in countermeasures is essentially impact costs (i.e., the costs from violating availability, integrity and confidentiality / privacy requirements). The natural question arises about choosing the main risks that must be mitigated/controlled and monitored in deciding where to focus security investments. To answer this question, we have investigated the cost/benefits to the attacker/defender to better estimate risk exposure. In doing so, it s important to develop a sound basis for estimating the factors that derive risk exposure, such as likelihood that a threat will emerge and whether it will be thwarted. This impact assessment framework can provide key information for ranking cybersecurity threats and managing risk.

  12. Second-Use Li-Ion Batteries to Aid Automotive and Utility Industries (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebook TwitterSearch-Comments Sign In About |Guarantees to

  13. 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

  14. Sandia National Laboratories: Energy

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

    security research at Sandia seeks to address key challenges facing our nation and the world. We work with the energy industry to improve current hardware and develop the next...

  15. Sandia National Laboratories: Infrastructure

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

    security research at Sandia seeks to address key challenges facing our nation and the world. We work with the energy industry to improve current hardware and develop the next...

  16. Perspectives on the National

    E-Print Network [OSTI]

    Johnson, Eric E.

    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

  17. 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

  18. Modelling the effects of solar activity onto the Greek national electric grid

    E-Print Network [OSTI]

    Zois, Ioannis P

    2013-01-01T23:59:59.000Z

    We study both the short term and long term effects of solar activity on the large transformers (150kV and 400kV) of the Greek national electric grid. We use data analysis and various analytic and statistical methods and models. Contrary to the common belief in PPC Greece, we see that there are considerable both short term (immediate) and long term effects of solar activity onto large transformers in a mid-latitude country like Greece. Our results can be summarized as follows: For the short term effects: During 1989-2010 there were 43 stormy days (namely days with for example Ap larger or equal to 100) and we had 19 failures occurring during a stormy day plus or minus 3 days and 51 failures occurring during a stormy day plus or minus 7 days. All these failures can be directly related to Geomagnetically Induced Currents (GICs). Explicit cases are presented. For the long term effects we have two main results: The maximum number of transformer failures occur 3-4 years after the maximum of solar activity. There is...

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

    SciTech Connect (OSTI)

    Not Available

    2011-12-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Boyer, Edmond

    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

  1. OTHER INDUSTRIES

    Broader source: Energy.gov [DOE]

    AMO funded research results in novel technologies in diverse industries beyond the most energy intensive ones within the U.S. Manufacturing sector. These technologies offer quantifiable energy...

  2. Libyan oil industry

    SciTech Connect (OSTI)

    Waddams, F.C.

    1980-01-01T23:59:59.000Z

    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.

  3. Site-specific solar resource measurements for industrial solar applications

    SciTech Connect (OSTI)

    Marion, W.

    1994-06-01T23:59:59.000Z

    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.

  4. 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

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

    SciTech Connect (OSTI)

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

    2009-05-29T23:59:59.000Z

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

  6. Sandia National Laboratories: CRF

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  7. Sandia National Laboratories: ANL

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  8. Sandia National Laboratories: Energy

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  9. Sandia National Laboratories: News

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  10. News | Argonne National Laboratory

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities and other industries that employ combustion models. Butterflies are...

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

    SciTech Connect (OSTI)

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

    1998-02-01T23:59:59.000Z

    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.

  12. National Agenda for Hydrogen Codes and Standards

    SciTech Connect (OSTI)

    Blake, C.

    2010-05-01T23:59:59.000Z

    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.

  13. Industry Research and Recommendations for New Commercial Buildings

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

    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.

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

    Wind Powering America (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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWindJEDI

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

    E-Print Network [OSTI]

    Au-Young, Marie Lily

    2013-02-22T23:59:59.000Z

    . 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...

  16. EPRI's Industrial Energy Management Program

    E-Print Network [OSTI]

    Mergens, E.; Niday, L.

    EPRI's INDUSTRIAL ENERGY MANAGEMENT PROGRAM ED MERGENS MANAGER EPRI's CHEMICALS & PETROLEUM OFFICE HOUSTON, TEXAS ABSTRACT The loss of American industry jobs to foreign competition is made worse by national concerns over fuels combustion... are funded at a level in excess of SlO million annually. By providing technical guidance and sponsoring research and development projects, these Centers and Offices are a key element in EPRI's role of improving the value of electricity to consumers...

  17. Office of Enterprise Assessments Review of the Y-12 National...

    Energy Savers [EERE]

    Material HQ Headquarters IC Incident Commander ICP Incident Command Post IH Industrial Hygiene NARAC National Atmospheric Release Advisory Center NNSA National Nuclear Security...

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

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

    https: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....

  19. Improved Indoor Tracking Based on Generalized t-Distribution Noise Model

    E-Print Network [OSTI]

    Shuo, Liu; Le, Yin; Khuen, Ho Weng; Voon, Ling Keck

    2015-01-01T23:59:59.000Z

    objective function. Industrial & engineering chemistryfunction approac. Industrial & Engineering Chem- istrynoise model. Industrial & Engineering Chemistry Research,

  20. Industrial & Manufacturing Processes | Argonne National Laboratory

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

    Hydrogen Fuel at Lower Cost Facilitates the analysis of trace impurities in high-pressure hydrogen streams Replaces costly analytical equipment with inexpensive, easy-to-operate,...

  1. Sandia National Laboratories: CSP Industry Links

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

    CleaNergy Schlaich Bergermann und Partner Infinia Corporation Brayton Energy Stirling Engines Kockums Stirling Biopower Sunpower Friatec-Rheinhuette Tagged with: CLFR *...

  2. Chemical research at Argonne National Laboratory

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    Argonne National Laboratory is a research and development laboratory located 25 miles southwest of Chicago, Illinois. It has more than 200 programs in basic and applied sciences and an Industrial Technology Development Center to help move its technologies to the industrial sector. At Argonne, basic energy research is supported by applied research in diverse areas such as biology and biomedicine, energy conservation, fossil and nuclear fuels, environmental science, and parallel computer architectures. These capabilities translate into technological expertise in energy production and use, advanced materials and manufacturing processes, and waste minimization and environmental remediation, which can be shared with the industrial sector. The Laboratory`s technologies can be applied to help companies design products, substitute materials, devise innovative industrial processes, develop advanced quality control systems and instrumentation, and address environmental concerns. The latest techniques and facilities, including those involving modeling, simulation, and high-performance computing, are available to industry and academia. At Argonne, there are opportunities for industry to carry out cooperative research, license inventions, exchange technical personnel, use unique research facilities, and attend conferences and workshops. Technology transfer is one of the Laboratory`s major missions. High priority is given to strengthening U.S. technological competitiveness through research and development partnerships with industry that capitalize on Argonne`s expertise and facilities. The Laboratory is one of three DOE superconductivity technology centers, focusing on manufacturing technology for high-temperature superconducting wires, motors, bearings, and connecting leads. Argonne National Laboratory is operated by the University of Chicago for the U.S. Department of Energy.

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

    SciTech Connect (OSTI)

    Not Available

    1995-01-03T23:59:59.000Z

    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.

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »Department of2 DOEDepartment|Amchitka,Power

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

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12 Investigation PeerNOON 2004 February 12, 2004 ¢CJEDI: Jobs

  6. Civil War Icon Becomes National Clean Energy Model | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWasteDepartmentUtilities inDenverCivil Penalty -Sunita

  7. Droplet Number Prediction in the NCAR Community Atmosphere Model Steven Ghan Pacific Northwest 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA : Papers69Christopher FeckoDraftDraft-8,Newest

  8. Evaluation of TVA`s model site and individual technology pollution prevention demonstration programs and their impact on the agrichemical industry

    SciTech Connect (OSTI)

    Simpson, G.S.

    1995-06-01T23:59:59.000Z

    The high volume of fertilizer and pesticides funneled through a relatively small number of distribution outlets has made these agribusiness sites potential sources of surface/groundwater contamination in watersheds surrounding the agrichemical facilities. The agrichemical industry came under increased pressures in the mid-1980s to implement environmentally sound management practices and to install containment structures around fertilizer and chemical storage/handling areas to prevent future contamination of existing sites or the movement of contaminants offsite. TVA`s long and successful history of technology transfer to the retail fertilizer industry, as well as the technical expertise of the Agency`s staff, made TVA ideally suited to handle the new environmental challenge. It was during this time period that TVA`s Model Site Demonstration Program (MSD) and Individual Technology Demonstration Program (ITD) were conceived. Since inception, the pollution prevention program and the technologies advanced by it have made a very positive impact on the US agrichemical industry, as well as on other TVA programs. This paper is an attempt to document these impacts, with primary focus being placed on the program`s impact on the agribusiness dealer who implements the pollution prevention technologies/practices recommended by TVA.

  9. applications radioprotecao industrial: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 421 National Industrial Hemp Strategy ii March 2008Executive Summary Growth of the Canadian Industrial Hemp Sector...

  10. arab oil industry: Topics by E-print Network

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

    U.S. Impact and Strategies (3) TECH 562 Kostic, Milivoje M. 492 National Industrial Hemp Strategy ii March 2008Executive Summary Growth of the Canadian Industrial Hemp Sector...

  11. Coal industry annual 1997

    SciTech Connect (OSTI)

    NONE

    1998-12-01T23:59:59.000Z

    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.

  12. UNDERGRADUATE DEGREES Industrial and Systems Engineering

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    control, information technologies, and electronics and solar power assembly and reliability. Students solving. Students delve into systems modeling and simulation, systems design and the simplificationUNDERGRADUATE DEGREES Industrial and Systems Engineering The Bachelor's Degree in Industrial

  13. Education and Outreach | Argonne National Laboratory

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

    and demonstration of technologies of interest to the U.S. Department of Energy and the automotive industry Clean Cities Advancing the nation's economic, environmental and energy...

  14. Sandia National Laboratories: hydrogen-materials research

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

    hydrogen-materials research Sandia-California Partners with Japanese National Institute of Advanced Industrial Science and Technology (AIST) in Hydrogen-Materials Research On July...

  15. Industrial ecology Prosperity Game{trademark}

    SciTech Connect (OSTI)

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

    1998-03-01T23:59:59.000Z

    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.

  16. 2008 Industrial Technologies Market Report, May 2009

    SciTech Connect (OSTI)

    Energetics; DOE

    2009-07-01T23:59:59.000Z

    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.

  17. Sandia National Laboratories: Energy Surety

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

    nation's first solar storage facility that is ... A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  18. MIT and Automotive Industries MIT Industry Brief

    E-Print Network [OSTI]

    Ceder, Gerbrand

    MIT and Automotive Industries MIT Industry Brief MIT's Industrial Liaison Program (ILP) can bring@ilp.mit.edu, or visit http://ilp-www.mit.edu. MIT and Automotive Industries The Massachusetts Institute of Technology (MIT) is a leading center of research and education on topics important to the automotive industry

  19. Industrial Green | Jefferson Lab

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook link to04948Industrial Green

  20. CASL - Industry Council

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0Link to Resources Industry

  1. CASL - Industry Council Resources

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0Link to Resources IndustryCASL

  2. Electrified Separation Processes in Industry

    E-Print Network [OSTI]

    Appleby, A. J.

    1983-01-01T23:59:59.000Z

    distillation, in the chemical and related industries is very considerable. The majority of the energy used for these separations is thermal input in the form of the low heating-value of oil or gas. From the national viewpoint, it would be advantageous...

  3. Cumulative belief degrees approach for analyzing the competitiveness of the automotive industry

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    Cumulative belief degrees approach for analyzing the competitiveness of the automotive industry: Available online xxxx Keywords: Competitiveness Automotive industry Cumulative belief degree Casual the competitiveness of the automotive industry from a national competitiveness perspective, using a three

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  5. Identification of geometrical and elastostatic parameters of heavy industrial robots

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Identification of geometrical and elastostatic parameters of heavy industrial robots A. Klimchik, Y modeling of heavy industrial robots with gravity compensators. The main attention is paid of huge aircraft compo- nents where industrial robots successfully replace conven- tional CNC

  6. Sandia National Laboratories: Research & Capabilities

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

    security research at Sandia seeks to address key challenges facing our nation and the world. We work with the energy industry to improve current hardware and develop the next...

  7. 2015 National Indian Timber Symposium

    Broader source: Energy.gov [DOE]

    The Intertribal Timber Council is hosting the Annual National Indian Timber Symposium to facilitate communication from the perspective of Tribes, the BIA, private industry, legislative bodies, and academia on issues and concerns of current forestry management practices.

  8. Industrial Combustion Technology Roadmap. A Technology Roadmap by and for the Industrial Combustion Community

    SciTech Connect (OSTI)

    none,

    2002-10-01T23:59:59.000Z

    The U.S. combustion industry is among the most productive, efficient, and technologically sophisticated in the world and remains vital to the nation’s economic competitiveness and national security. As the industry looks forward, it confronts tremendous growth opportunities but also significant technical and market challenges. Future industry success will depend on the industry's ability to respond to competitive pressures as well as public expectations for a clean and sustainable industry. Much progress has been made in understanding the fundamental science of combustion; however, much more is needed as regulatory and competitive forces push the industry to develop combustion equipment with better performance, lower environmental impact, and greater flexibility. Immense opportunities exist for companies to develop and apply new technology responding to these needs. Unfortunately, few companies can accept the high technical and financial risk required for the research if the technology is not adopted widely enough to provide a payback on their investment.

  9. 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

  10. DOE Announces First Companies to Receive Industrial Energy Efficiency...

    Energy Savers [EERE]

    is accredited by the American National Standards Institute (ANSI) and will serve as a roadmap for industrial facilities to help continually improve their efficiency and maintain...

  11. Electricity Industry Leaders U.S. Utilities, Grid Operators,...

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

    is Focus of New Effort by Electricity Industry Leaders U.S. Utilities, Grid Operators, Others Come Together in National Effort to Tackle Important New Electricity Area (Washington,...

  12. Curran receives SAE Foundation industry leadership award | ornl...

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

    at the Department of Energy's Oak Ridge National Laboratory, has received the Society for Automotive Engineers (SAE) Foundation's 2015 Stefan Pischinger Young Industry Leadership...

  13. 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,...

  14. Materials needs and opportunities in the pulp and paper industry

    SciTech Connect (OSTI)

    Angelini, P. [comp.

    1995-08-01T23:59:59.000Z

    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.

  15. Probabilistic performance-assessment modeling of the mixed waste landfill at Sandia National Laboratories.

    SciTech Connect (OSTI)

    Peace, Gerald (Jerry) L. (.); Goering, Timothy James (GRAM, Inc.); Miller, Mark Laverne; Ho, Clifford Kuofei

    2007-01-01T23:59:59.000Z

    A probabilistic performance assessment has been conducted to evaluate the fate and transport of radionuclides (americium-241, cesium-137, cobalt-60, plutonium-238, plutonium-239, radium-226, radon-222, strontium-90, thorium-232, tritium, uranium-238), heavy metals (lead and cadmium), and volatile organic compounds (VOCs) at the Mixed Waste Landfill (MWL). Probabilistic analyses were performed to quantify uncertainties inherent in the system and models for a 1,000-year period, and sensitivity analyses were performed to identify parameters and processes that were most important to the simulated performance metrics. Comparisons between simulated results and measured values at the MWL were made to gain confidence in the models and perform calibrations when data were available. In addition, long-term monitoring requirements and triggers were recommended based on the results of the quantified uncertainty and sensitivity analyses.

  16. Heating requirements and non-adiabatic surface effects for a model in the National Transonic Facility

    E-Print Network [OSTI]

    Pare, Louis Alphonse

    1984-01-01T23:59:59.000Z

    insulated, adiabatic surface. A heat transfer analysis intended to yield a conservative estimate of the non-adiabatic condition was performed. A Finite element heat transfer computer code was developed and used to compute the steady state temperature... identified regions on the surface of the model susceptible to surface heating and the magnitude of the respective surface temperatures. The addition of insulation within the cavity to limit surface heating was also investigated. The geometry...

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

    SciTech Connect (OSTI)

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

    2010-09-30T23:59:59.000Z

    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.

  18. Essays on empirical time series modeling with causality and structural change 

    E-Print Network [OSTI]

    Kim, Jin Woong

    2006-10-30T23:59:59.000Z

    In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry...

  19. 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

  20. Mechanical & Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    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

  1. Industrial Decision Making 

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?...

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

    SciTech Connect (OSTI)

    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

    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.

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

    SciTech Connect (OSTI)

    Johnson, R.O.

    1996-05-01T23:59:59.000Z

    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.

  4. News | Argonne National Laboratory

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

    Researchers from Argonne National Laboratory modeled several scenarios to add more solar power to the electric grid, using real-world data from the southwestern power...

  5. Sandia National Laboratories: Climate

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

    Climate A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  6. Sandia National Laboratories: Energy

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

    Summit and Technology Forum will convene the ... A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  7. Sandia National Laboratories: Infrastructure

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

    Quallion Eaton Corp. Air Products ExxonTonen ... A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  8. Sandia National Laboratories: CETI

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

    CETI A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  9. Sandia National Laboratories: Vermont

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

    Vermont A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  10. Sandia National Laboratories: Publications

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

    This public benchmark represents analysis ... A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  11. Los Alamos National Laboratory

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

    the first results of joint work by scientists from Lawrence Berkeley, Pacific Northwest, Savannah River, and Los Alamos national laboratories at the Savannah River Site to model...

  12. Office of Industrial Technologies research in progress

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    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.

  13. MULTISCALE MODEL. SIMUL. c 2005 Society for Industrial and Applied Mathematics Vol. 4, No. 2, pp. 359389

    E-Print Network [OSTI]

    Carter, Emily A.

    prediction of dislocation nucleation and the effects of varying alloy composition. The model is illustrated and Department of Mechanical and Aerospace Engineering, D404A Engineering Quadrangle, Princeton, NJ 08544 (eac

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

    E-Print Network [OSTI]

    Ünver, Hakk? Özgür

    2008-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    EIA) Manufacturing Energy Consumption Survey (MECS) ModelEIA), 2005. 2002 Manufacturing Energy Consumption Survey onSurvey (MECS), such as crosscutting technologies like process controls, building controls, waste heat recovery or adjustable speed drives (EIA

  16. 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

  17. 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

  18. Industrial Buildings

    Gasoline and Diesel Fuel Update (EIA)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0 0.0Decade4Year114,937

  19. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) EnvironmentalGyroSolé(tm)HydrogenRFP »summerlectures [ICO]default Sign

  20. Industrial Permit

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook linkProtection » Obeying

  1. Sandia National Laboratories: atmospheric chemistry

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  2. Sandia National Laboratories: combustion chemistry

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  3. Sandia National Laboratories: 2DME

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  4. Sandia National Laboratories: angular momentum

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  5. Sandia National Laboratories: Research & Capabilities

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  6. Sandia National Laboratories: Energy Efficiency

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  7. Sandia National Laboratories: Transportation Energy

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  8. Probabilistic performance-assessment modeling of the mixed waste landfill at Sandia National Laboratories.

    SciTech Connect (OSTI)

    Peace, Gerald L.; Goering, Timothy James (GRAM, Inc.); Miller, Mark Laverne; Ho, Clifford Kuofei

    2005-11-01T23:59:59.000Z

    A probabilistic performance assessment has been conducted to evaluate the fate and transport of radionuclides (americium-241, cesium-137, cobalt-60, plutonium-238, plutonium-239, radium-226, radon-222, strontium-90, thorium-232, tritium, uranium-238), heavy metals (lead and cadmium), and volatile organic compounds (VOCs) at the Mixed Waste Landfill (MWL). Probabilistic analyses were performed to quantify uncertainties inherent in the system and models for a 1,000-year period, and sensitivity analyses were performed to identify parameters and processes that were most important to the simulated performance metrics. Comparisons between simulated results and measured values at the MWL were made to gain confidence in the models and perform calibrations when data were available. In addition, long-term monitoring requirements and triggers were recommended based on the results of the quantified uncertainty and sensitivity analyses. At least one-hundred realizations were simulated for each scenario defined in the performance assessment. Conservative values and assumptions were used to define values and distributions of uncertain input parameters when site data were not available. Results showed that exposure to tritium via the air pathway exceeded the regulatory metric of 10 mrem/year in about 2% of the simulated realizations when the receptor was located at the MWL (continuously exposed to the air directly above the MWL). Simulations showed that peak radon gas fluxes exceeded the design standard of 20 pCi/m{sup 2}/s in about 3% of the realizations if up to 1% of the containers of sealed radium-226 sources were assumed to completely degrade in the future. If up to 100% of the containers of radium-226 sources were assumed to completely degrade, 30% of the realizations yielded radon surface fluxes that exceeded the design standard. For the groundwater pathway, simulations showed that none of the radionuclides or heavy metals (lead and cadmium) reached the groundwater during the 1,000-year evaluation period. Tetrachloroethylene (PCE) was used as a proxy for other VOCs because of its mobility and potential to exceed maximum contaminant levels in the groundwater relative to other VOCs. Simulations showed that PCE reached the groundwater, but only 1% of the realizations yielded aquifer concentrations that exceeded the regulatory metric of 5 {micro}g/L. Based on these results, monitoring triggers have been proposed for the air, surface soil, vadose zone, and groundwater at the MWL. Specific triggers include numerical thresholds for radon concentrations in the air, tritium concentrations in surface soil, infiltration through the vadose zone, and uranium and select VOC concentrations in groundwater. The proposed triggers are based on U.S. Environmental Protection Agency and Department of Energy regulatory standards. If a trigger is exceeded, then a trigger evaluation process will be initiated which will allow sufficient data to be collected to assess trends and recommend corrective actions, if necessary.

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

    SciTech Connect (OSTI)

    Kara G. Eby

    2010-08-01T23:59:59.000Z

    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.

  10. 776 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 34, NO. 4, JULY/AUGUST 1998 Switched Reluctance Motor Modeling with

    E-Print Network [OSTI]

    Husain, Iqbal

    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

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

    E-Print Network [OSTI]

    Boyer, Edmond

    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

  12. Sandia National Laboratories: photovoltaic

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

    On October 10, 2011, in This Web Demo model is a simplified "player" version of the Photovoltaic Reliability Performance Model (PV-RPM) currently in development at Sandia National...

  13. Ames Lab Named an Industry Safety Leader

    ScienceCinema (OSTI)

    Wessels, Tom

    2013-03-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    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...

  15. Federal/Industry Development of Energy-Conserving Technologies for the Chemical and Petroleum Refining Industries 

    E-Print Network [OSTI]

    Alston, T. G.; Humphrey, J. L.

    1981-01-01T23:59:59.000Z

    Argonne National Laboratory has started a program to identify future RD&D projects that (i) promise cost-effective savings of scarce fuels in the chemical and petroleum refining industries, (ii) are not likely to be pursued by industry alone...

  16. Sandia National Laboratories: Modeling

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

    of Science, Water When squeezed to pressures and temperatures like those inside giant planets, water molecules are less squeezable than anticipated, defying a set of decades-old...

  17. Sandia National Laboratories: Modeling

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

    for CESM's atmospheric component. This new dynamical core ... Caterpillar, Sandia CRADA Opens Door to Multiple Research Projects On April 17, 2013, in Capabilities,...

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

    SciTech Connect (OSTI)

    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

    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.

  19. 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]

    Ellsworth, C.

    2008-01-01T23:59:59.000Z

    , 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...

  20. 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]

    Ellsworth, C.

    2008-01-01T23:59:59.000Z

    , 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...

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

    SciTech Connect (OSTI)

    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

    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.

  2. Development of PUNDA (Parametric Universal Nonlinear Dynamics Approximator) Models for Self-Validating Knowledge-Guided Modelling of Nonlinear Processes in Particle Accelerators \\& Industry

    SciTech Connect (OSTI)

    Sayyar-Rodsari, Bijan; Schweiger, Carl; Hartman, Eric

    2007-10-07T23:59:59.000Z

    The difficult problems being tackled in the accelerator community are those that are nonlinear, substantially unmodeled, and vary over time. Such problems are ideal candidates for model-based optimization and control if representative models of the problem can be developed that capture the necessary mathematical relations and remain valid throughout the operation region of the system, and through variations in system dynamics. The goal of this proposal is to develop the methodology and the algorithms for building high-fidelity mathematical representations of complex nonlinear systems via constrained training of combined first-principles and neural network models.

  3. Extreme Conditions Modeling Workshop Report

    SciTech Connect (OSTI)

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

    2014-07-01T23:59:59.000Z

    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.

  4. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the U.S. Pulp and Paper Sector

    E-Print Network [OSTI]

    Xu, Tengfang

    2014-01-01T23:59:59.000Z

    Sixth Annual Industrial Energy Technology Conference, VolumeBNL). 2001. The Energy Technology Systems AnalysisKramer Environmental Energy Technologies Division July 2012

  5. 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.

  6. Uranium industry annual 1997

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

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

  7. 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:...

  8. Cell fleet planning : an industry case study

    E-Print Network [OSTI]

    Silva, Armando C.

    1984-01-01T23:59:59.000Z

    The objective of this thesis is to demonstrate the practical use of the Cell Fleet Planning Model in planning the fleet for the U.S. airline industry. The Cell Model is a cell theory, linear programming approach to fleet ...

  9. National Plastics Corporation: Energy Assessment Helps Automotive Plastic Parts Maker Save $34,000 Per Year

    SciTech Connect (OSTI)

    Not Available

    2005-09-01T23:59:59.000Z

    Industrial Technologies Program's BestPractices case study based on a comprehensive plant assessment conducted at National Plastics Corporation by ITP's Industrial Assessment Center in conjunction with The Society of the Plastics Industry, Inc.

  10. National Center for Photovoltaics at NREL

    ScienceCinema (OSTI)

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

    2014-06-10T23:59:59.000Z

    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.

  11. National Center for Photovoltaics at NREL

    SciTech Connect (OSTI)

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

    2013-11-07T23:59:59.000Z

    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.

  12. Computational geomechanics & applications at Sandia National Laboratories.

    SciTech Connect (OSTI)

    Arguello, Jose Guadalupe, Jr.

    2010-04-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Swift, M.A.

    1984-07-01T23:59:59.000Z

    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.

  14. Industry Analysis February 2013

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    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

  15. INDUSTRIAL ENGINEERING GRADUATE PROGRAMS

    E-Print Network [OSTI]

    Gelfond, Michael

    : Occupational biomechanics, work physiology, industrial ergonomics, environmental hygiene, cognitive engineeringINDUSTRIAL 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

  16. 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)

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

    2009-07-01T23:59:59.000Z

    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.

  17. The future steelmaking industry and its technologies

    SciTech Connect (OSTI)

    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

    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.

  18. Sandia National Laboratories: Sandia-California Partners with...

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

    with Japanese National Institute of Advanced Industrial Science and Technology (AIST) in Hydrogen-Materials Research On July 26, 2013, in CRF, Energy, Facilities, News, News &...

  19. Independent Oversight Activity Report, Los Alamos National Laboratory...

    Office of Environmental Management (EM)

    in the development and implementation of the Los Alamos National Laboratory industrial hygiene worker exposure assessment program. Independent Oversight Activity Report, Los Alamos...

  20. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

    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

    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.

  1. 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

  2. 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)

    Pohlmann Karl,Ye Ming

    2012-03-01T23:59:59.000Z

    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.

  3. Idaho National Laboratory Research & Development Impacts

    SciTech Connect (OSTI)

    Nicole Stricker

    2015-01-01T23:59:59.000Z

    Technological advances that drive economic growth require both public and private investment. The U.S. Department of Energy’s national laboratories play a crucial role by conducting the type of research, testing and evaluation that is beyond the scope of regulators, academia or industry. Examples of such work from the past year can be found in these pages. Idaho National Laboratory’s engineering and applied science expertise helps deploy new technologies for nuclear energy, national security and new energy resources. Unique infrastructure, nuclear material inventory and vast expertise converge at INL, the nation’s nuclear energy laboratory. Productive partnerships with academia, industry and government agencies deliver high-impact outcomes. This edition of INL’s Impacts magazine highlights national and regional leadership efforts, growing capabilities, notable collaborations, and technology innovations. Please take a few minutes to learn more about the critical resources and transformative research at one of the nation’s premier applied science laboratories.

  4. Pawnee Nation Energy Option Analyses

    SciTech Connect (OSTI)

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

    2009-07-31T23:59:59.000Z

    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.

  5. ESTIMATION AND CONTROL OF INDUSTRIAL PROCESSES WITH PARTICLE FILTERS

    E-Print Network [OSTI]

    de Freitas, Nando

    ESTIMATION AND CONTROL OF INDUSTRIAL PROCESSES WITH PARTICLE FILTERS Rub´en Morales of industrial processes. In particular, we adopt a jump Markov linear Gaussian (JMLG) model to describe an industrial heat exchanger. The parameters of this model are identi- fied with the expectation maximisation

  6. 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]

    Auh, Jae Hyuck, 1969-

    2003-01-01T23:59:59.000Z

    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 ...

  7. Assessing the Control Systems Capacity for Demand Response in California Industries

    SciTech Connect (OSTI)

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

    2012-01-18T23:59:59.000Z

    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.

  8. 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)

    Not Available

    1994-10-01T23:59:59.000Z

    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.

  9. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency Visit | National Nuclear

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

    SciTech Connect (OSTI)

    Not Available

    2005-11-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    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

    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.

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

    SciTech Connect (OSTI)

    Atkison, K.

    1998-10-07T23:59:59.000Z

    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.

  13. 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)

    NONE

    1998-09-01T23:59:59.000Z

    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.

  14. Industrial waste reduction: The process problem

    SciTech Connect (OSTI)

    Valentino, F.W.; Walmet, G.E.

    1986-09-01T23:59:59.000Z

    Industrial waste problems, especially those involving hazardous waste, seem to be pervasive. The national media report newly discovered waste problems and sites with alarming regularity. Examples that immediately come to mind are Love Canal, New York; Times Beach, Missouri; and Seveso, Italy. Public perceptions of the industrial waste problem, reflecting the media's focus, appear to be that: large corporations are solely responsible for creating waste dumps, and the only role of government is to prevent illegal dumping and to regulate, fine, and require corporations to rectify the problem; all efforts should be directed toward preventing illegal dumping and treatment of the existing waste dumps; all industrial wastes can be classified as hazardous in nature. This general impression is both inaccurate and incomplete. All industrial waste is not hazardous (although most of it is not benign). All waste producers are not large corporations: nearly all industries produce some wastes. And, while existing waste sites must be effectively treated, additional efforts are needed at other points in the industrial waste cycle. Most people would agree both that waste dumping must be carefully regulated because of its negative impacts on the environment and that the less waste the better, even with carefully regulated disposal. Since nearly all industry now produces some waste and no one expects industry to shut down to resolve the waste problem, other strategies need to be available to deal with the problem at the front end. This paper discusses alternative strategies.

  15. The Industrial Electrification Program

    E-Print Network [OSTI]

    Harry, I. L.

    1982-01-01T23:59:59.000Z

    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...

  16. Electrotechnologies in Process Industries

    E-Print Network [OSTI]

    Amarnath, K. R.

    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...

  17. and Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    technologicalandlogisticssystemsbygathering, structuring, and managing information. Indus- trial engineers apply their knowledge not only45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle

  18. Demographics and industry returns

    E-Print Network [OSTI]

    Pollet, Joshua A.; DellaVigna, Stefano

    2007-01-01T23:59:59.000Z

    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

  19. INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY

    E-Print Network [OSTI]

    Pohl, Karsten

    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

  20. Industry Analysis October 2010

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    Different regulations for some industries in Canada, the U.S. and Europe ie. telecommunications, energy of energy, materials, industrial waste, byproducts #12;Contact Constance Adamson Stauffer Library adamsonc

  1. Journal of Engineering for Industry, ASME, New York, NY, Vol. 118, No. 1, 1996, pp. 37-44. SPREAD SHEET MODEL OF CONTINUOUS CASTING

    E-Print Network [OSTI]

    Thomas, Brian G.

    ) transient solidification heat transfer model of the solidifying shell. The model structure and equations

  2. Industry Sponsored Research | Partnerships | ORNL

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOf SmartIndustrial Users

  3. Nuclear Industry Job Descriptions Boilermaker

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOE Project TapsDOE Directives,838NuclearForensicsIndustry

  4. Industrial Hygiene | The Ames 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook link to04948Industrial

  5. Industry Cluster Development Grant winners

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook linkProtection »SafetyIndustry

  6. 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.

  7. PA Regional Nanotechnology Conference Nanotechnology for Industry

    E-Print Network [OSTI]

    Gilchrist, James F.

    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

  8. Mechanical & Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    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

  9. Smart Grid | Argonne National Laboratory

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

    Researchers from Argonne National Laboratory modeled several scenarios to add more solar power to the electric grid, using real-world data from the southwestern power...

  10. Sandia National Laboratories: Vermont partnership

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

    partnership A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  11. Sandia National Laboratories: M-1

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

    M-1 A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  12. Sandia National Laboratories: VT Collaboration

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

    VT Collaboration A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate, Customers & Partners, Energy, Energy Surety,...

  13. Sandia National Laboratories: Customers & Partners

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

    with Sandia Labs' Molten-Salt Test Loop System ... A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  14. Sandia National Laboratories: wind energy

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

    ... SMART Rotor Video On September 17, 2012, in A Model for the Nation: Promoting Education and Innovation in Vermont's Electricity Sector On May 8, 2012, in Climate,...

  15. Sandia National Laboratories: Renewable Energy

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

    2014, in Computational Modeling & Simulation, Energy, News, News & Events, Partnership, Renewable Energy, Water Power Sandia and the National Renewable Energy Laboratory (NREL)...

  16. 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...

  17. Sandia National Laboratories: CREW Database

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

    CREW Database Sandia Involves Wind-Farm Owners in Defining New Data Pathway for National Wind-Plant Reliability Database On March 19, 2014, in Computational Modeling & Simulation,...

  18. Sandia National Laboratories: Wind Energy

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

    Wind Energy National Rotor Testbed Rotor Design Integrated Airfoil Performance Results On February 24, 2015, in Computational Modeling & Simulation, Energy, Facilities, News, News...

  19. Energy Management in a Multi-Industry Organization

    E-Print Network [OSTI]

    Lawrence, J.

    1981-01-01T23:59:59.000Z

    Tenneco operates in seven of the nation's ten most energy intensive industries: Petroleum Refining, Chemicals Manufacturing, Pulp and Paper, Transportation Equipment, Primary Metals, Food Processing, and Machinery. This diversification...

  20. Identifying, examining, and validating a description of the agriculture industry 

    E-Print Network [OSTI]

    Romero, Edward Wayne

    2009-05-15T23:59:59.000Z

    .................................................................. 20 Occupational Outlook Handbook ................................................... 22 Career Guide to Industries .............................................................. 24 National FFA Organization Career Explorer... ................................. 139 xii Page APPENDIX E FIRST ROUND QUESTIONS ....................................................... 141 APPENDIX F ROUND TWO ? EMAIL COVER LETTER ................................ 143 APPENDIX G SECOND ROUND QUESTIONS...

  1. Washington State Ergonomics Tool: predictive validity in the waste industry 

    E-Print Network [OSTI]

    Eppes, Susan Elise

    2004-09-30T23:59:59.000Z

    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 ...

  2. Tools for Assessing Building Energy Use in Industrial Plants 

    E-Print Network [OSTI]

    Martin, M.; MacDonald, M.

    2007-01-01T23:59:59.000Z

    Tools for Assessing Building Energy Use in Industrial Plants Michaela Martin and Michael MacDonald Oak Ridge National Laboratory BRIEF SUMMARY: This presentation will cover a brief history of building energy measures savings potential...

  3. 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

  4. Lean enterprise in the construction industry

    E-Print Network [OSTI]

    Marchini-Blanco, Juan, 1971-

    2004-01-01T23:59:59.000Z

    This thesis explores the application of the Lean Enterprise Model (LEM) to construction firms. LEM is a framework derived from lean manufacturing principles by MIT's Lean Aerospace Initiative (LAI) for the aerospace industry. ...

  5. Industrial motivations: Conceptual Automotive Styling Tools (CAST)

    E-Print Network [OSTI]

    Toronto, University of

    Industrial motivations: Conceptual Automotive Styling Tools (CAST) Karan Singh #12;Conceptual. · What makes automotive design unique. · Existing modeling trends. · A proposed workflow for conceptual automotive design. #12;Conceptual design desirables · Abstraction from underlying surface math. · Invite

  6. Reporting Conservation Results in the Chemical Industry

    E-Print Network [OSTI]

    Doerr, R. E.

    1979-01-01T23:59:59.000Z

    In 1974, the Manufacturing Chemists Association (MCA) developed an energy rate method for reporting the energy conservation results of the chemical industry to the Federal Energy Administration. The MCA Energy Rate Method has served as a model...

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

    E-Print Network [OSTI]

    McKane, Aimee

    2010-01-01T23:59:59.000Z

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

  8. U.S. Department of Energy Announces Completion of 500 Industrial...

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

    U.S. Department of Energy (DOE) today announced that it has completed the 500th Energy Saving Assessment (ESA) at the nation's largest industrial facilities. These assessments...

  9. Industrial Dojo Program Fosters Industrial Internet Development...

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

    share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) GE Launches Cloud Foundry 'Industrial Dojo,' Contributes to Open Source to Foster Continued...

  10. Industrial policy and the Indian electronics industry

    E-Print Network [OSTI]

    Love, Robert (Robert Eric)

    2008-01-01T23:59:59.000Z

    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 ...

  11. LANSCE | Lujan Center | Industrial Users

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

    Industrial Users The Lujan Neutron Scattering Center offers a diverse set of capabilities and instruments for industrial projects. Industrial users are invited to contact Fredrik...

  12. Uranium industry annual 1998

    SciTech Connect (OSTI)

    NONE

    1999-04-22T23:59:59.000Z

    The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides 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. Data on uranium raw materials activities for 1989 through 1998, 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 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

  13. Uranium industry annual 1994

    SciTech Connect (OSTI)

    NONE

    1995-07-05T23:59:59.000Z

    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.

  14. INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering

    E-Print Network [OSTI]

    Rohs, Remo

    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

  15. West Virginia University 1 Department of Industrial & Management Systems

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    -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

  16. National Geothermal Association Trade Mission to Central America

    SciTech Connect (OSTI)

    Not Available

    1992-10-01T23:59:59.000Z

    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.

  17. 600 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 50, NO. 1, JANUARY/FEBRUARY 2014 Time-Dependent Finite-Volume Model of

    E-Print Network [OSTI]

    Pugh, Mary

    alternative to heat engines in the harvesting of waste heat. Electrical­thermal analogs are often employed, thermoelectric devices, thermoelectric energy conversion, thermoelectricity. I. INTRODUCTION WASTE heat of waste heat are produced by industry; low-grade heat (heat sources roughly under 100 C) is also

  18. Sandia National Laboratories: more fully characterize what's...

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  19. Sandia National Laboratories: Combustion Research Facility

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...

  20. Sandia National Laboratories: Sensors & Optical Diagnostics

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

    and atmospheric chemistry that is expected to benefit auto and engine manufacturers, oil and gas utilities, and other industries that employ combustion models. A paper...