Sample records for decision technological optimism

  1. Adapting Decisions, Optimizing Facts and Predicting Figures: Can Convergence of Concepts, Tools, Technologies and Standards Catalyze Innovation?

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31T23:59:59.000Z

    Managing uncertainty is key in decision systems, such as supply chain management or military readiness. We propose a reasonable confluence of existing concepts, tools, technologies and standards that may, collectively, ...

  2. Decision support software technology demonstration plan

    SciTech Connect (OSTI)

    SULLIVAN,T.; ARMSTRONG,A.

    1998-09-01T23:59:59.000Z

    The performance evaluation of innovative and alternative environmental technologies is an integral part of the US Environmental Protection Agency's (EPA) mission. Early efforts focused on evaluating technologies that supported the implementation of the Clean Air and Clean Water Acts. In 1986 the Agency began to demonstrate and evaluate the cost and performance of remediation and monitoring technologies under the Superfund Innovative Technology Evaluation (SITE) program (in response to the mandate in the Superfund Amendments and Reauthorization Act of 1986 (SARA)). In 1990, the US Technology Policy was announced. This policy placed a renewed emphasis on making the best use of technology in achieving the national goals of improved quality of life for all Americans, continued economic growth, and national security. In the spirit of the technology policy, the Agency began to direct a portion of its resources toward the promotion, recognition, acceptance, and use of US-developed innovative environmental technologies both domestically and abroad. Decision Support Software (DSS) packages integrate environmental data and simulation models into a framework for making site characterization, monitoring, and cleanup decisions. To limit the scope which will be addressed in this demonstration, three endpoints have been selected for evaluation: Visualization; Sample Optimization; and Cost/Benefit Analysis. Five topics are covered in this report: the objectives of the demonstration; the elements of the demonstration plan; an overview of the Site Characterization and Monitoring Technology Pilot; an overview of the technology verification process; and the purpose of this demonstration plan.

  3. Optimization Online - Optimizing Trading Decisions for Hydro ...

    E-Print Network [OSTI]

    Nils Löhndorf

    2011-12-10T23:59:59.000Z

    Dec 10, 2011 ... To demonstrate the efficiency of the solution approach, we fit an econometric ... Keywords: OR in Energy, Approximate Dynamic Programming, Stochastic Programming, Markov Decision Processes ... Classification Scheme

  4. UNCG Technology Decision-Making Processes Information Technology Services (ITS), 10/31/2013

    E-Print Network [OSTI]

    Saidak, Filip

    UNCG Technology Decision-Making Processes Information Technology Services Technology Services & Chief Information Officer reports to the Chancellor, & all. · University Policy-making and Major Campus-wide Technology Decisions · IT Governance

  5. algorithmic decision optimization: Topics by E-print Network

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

    algorithmic decision optimization First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Optimizing Decision...

  6. Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through§ Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 DOI: 10.2514/1.A32562 Although NASA has-term investment in the enabling technologies that will be required for these future systems. Given

  7. Optimal Resurfacing Decisions for Road Maintenance: A POMDP Perspective

    E-Print Network [OSTI]

    Boyer, Edmond

    . Numerical examples have shown that our model provides a preventive maintenance policy that slows downOptimal Resurfacing Decisions for Road Maintenance: A POMDP Perspective Mariem Zouch, Thomas Yeung / IRCCyN, F-44307 NANTES Cedex, France Keywords: Road deterioration, maintenance optimization, Partially

  8. Decision Analysis System for Selection of Appropriate Decontamination Technologies

    SciTech Connect (OSTI)

    Ebadian, M.A.; Boudreaux, J.F.; Chinta, S.; Zanakis, S.H.

    1998-01-01T23:59:59.000Z

    The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites.

  9. Optimal Preventive Maintenance Under Decision Dependent Uncertainty

    SciTech Connect (OSTI)

    Galenko, Alexander; Popova, Elmira [University of Texas at Austin, 1 University Station, Austin, Texas 78712 (United States); Kee, Ernie; Grantom, Rick [South Texas Project Nuclear Operating Company - STPNOC, P.O. Box 289, Wadsworth, Tx 77483 (United States)

    2006-07-01T23:59:59.000Z

    We analyze a system of N components with dependent failure times. The goal is to obtain the optimal block replacement interval (different for each component) over a finite horizon that minimizes the expected total maintenance cost. In addition, we allow each preventive maintenance action to change the future joint failure time distribution. We illustrate our methodology with an example from South Texas Project Nuclear Operating Company. (authors)

  10. Optimal decision making in ventilation control Andrew Kusiak*, Mingyang Li

    E-Print Network [OSTI]

    Kusiak, Andrew

    by heating, ventilating and air- conditioning (HVAC) systems. According to published statistics, HVAC systemsOptimal decision making in ventilation control Andrew Kusiak*, Mingyang Li Department of Mechanical Accepted 24 July 2009 Available online 15 August 2009 Keywords: Ventilation Air quality Multi

  11. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01T23:59:59.000Z

    Since 1970, the National Environmental Policy Act (NEPA) has served as the main instrument for analyzing the environmental impacts of federal agency decisions and providing the public with opportunities to participate in ...

  12. Vehicle Technologies and Bus Fleet Replacement Optimization

    E-Print Network [OSTI]

    Bertini, Robert L.

    1 Vehicle Technologies and Bus Fleet Replacement Optimization: problem properties and sensitivity: R41 #12;2 Abstract This research presents a bus fleet replacement optimization model to analyze hybrid and conventional diesel vehicles, are studied. Key variables affecting optimal bus type

  13. Conceptual air sparging decision tool in support of the development of an air sparging optimization decision tool

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    The enclosed document describes a conceptual decision tool (hereinafter, Tool) for determining applicability of and for optimizing air sparging systems. The Tool was developed by a multi-disciplinary team of internationally recognized experts in air sparging technology, lead by a group of project and task managers at Parsons Engineering Science, Inc. (Parsons ES). The team included Mr. Douglas Downey and Dr. Robert Hinchee of Parsons ES, Dr. Paul Johnson of Arizona State University, Dr. Richard Johnson of Oregon Graduate Institute, and Mr. Michael Marley of Envirogen, Inc. User Community Panel Review was coordinated by Dr. Robert Siegrist of Colorado School of Mines (also of Oak Ridge National Laboratory) and Dr. Thomas Brouns of Battelle/Pacific Northwest Laboratory. The Tool is intended to provide guidance to field practitioners and environmental managers for evaluating the applicability and optimization of air sparging as remedial action technique.

  14. Environmental Decision Making and Information Technology: Issues Assessment

    SciTech Connect (OSTI)

    Barg, S.; Fletcher, T.; Mechling, J.; Tonn, B.; Turner, R.

    1999-05-01T23:59:59.000Z

    This report presents a summary of the Information Technology and Environmental Decision Making Workshop that was held at Harvard University, October 1-3, 1998. Over sixty participants from across the US took part in discussions that focused on the current practice of using information technology to support environmental decision making and on future considerations of information technology development, information policies, and data quality issues in this area. Current practice is focusing on geographic information systems and visualization tools, Internet applications, and data warehousing. In addition, numerous organizations are developing environmental enterprise systems to integrate environmental information resources. Plaguing these efforts are issues of data quality (and public trust), system design, and organizational change. In the future, much effort needs to focus on building community-based environmental decision-making systems and processes, which will be a challenge given that exactly what needs to be developed is largely unknown and that environmental decision making in this arena has been characterized by a high level of conflict. Experimentation and evaluation are needed to contribute to efficient and effective learning about how best to use information technology to improve environmental decision making.

  15. Optimal Technology Selection and Operation of Microgrids in Commercial Buildings

    E-Print Network [OSTI]

    Marnay, Chris; Venkataramanan, Giri; Stadler, Michael; Siddiqui, Afzal; Firestone, Ryan; Chandran, Bala

    2008-01-01T23:59:59.000Z

    L ABORATORY Optimal Technology Selection and Operation ofEnvironmental Energy Technologies Division 15 January 2007for Electric Reliability Technology Solutions with funding

  16. UMORE PARK -INTEGRATING SOLAR Overview, Solar Optimization & Technologies, & Recommendations

    E-Print Network [OSTI]

    Netoff, Theoden

    : Introduction 3 UMore Park Overview 4 Solar Optimization 7 Passive Solar 8 Solar Technologies 10 District Solar research and development of renewable resource technologies. Integrating passive design techniques as wellUMORE PARK - INTEGRATING SOLAR Overview, Solar Optimization & Technologies, & Recommendations

  17. History-Dependent Optimization of Bridge Maintenance and Replacement Decisions Using Markov Decision Process

    E-Print Network [OSTI]

    Robelin, Charles-Antoine; Madanat, Samer M

    2007-01-01T23:59:59.000Z

    ?1997?. “Pontis: A system for maintenance optimization andcycle reliability-based maintenance cost optimization ofbridge inspection, maintenance and replacement optimization

  18. Vehicle Technologies Office Merit Review 2014: Design Optimization...

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

    Design Optimization of Piezoceramic Multilayer Actuators for Heavy Duty Diesel Engine Fuel Injectors Vehicle Technologies Office Merit Review 2014: Design Optimization of...

  19. Optimal Partially Reversible Investment with Entry Decision and General Production Function

    E-Print Network [OSTI]

    Pham, Huyên

    of entry and exit times (as in Duckworth and Zervos 2000) or by focusing on the possibility of onlyOptimal Partially Reversible Investment with Entry Decision and General Production Function Xin GUO is to find an optimal entry and production decision to maximize its expected total net profit over

  20. Technology and Architecture: Informing Investment Decisions for the Future of Human Space Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology and Architecture: Informing Investment Decisions for the Future of Human Space AND ASTRONAUTICS AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY SEPTEMBER 2012 © 2012 Massachusetts Institute of Technology. All rights reserved. Signature of Author

  1. Optimal Technologies International Inc | 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 |JilinLuOpenNorthOlympia GreenThe community EnergyOptimal Technologies

  2. Optimization Online - Binary Decision Rules for Multistage Adaptive ...

    E-Print Network [OSTI]

    Dimitris Bertsimas

    2014-08-20T23:59:59.000Z

    Aug 20, 2014 ... ... decision rules that are highly scalable and achieve good quality solutions. ... Category 2: Applications -- OR and Management Sciences.

  3. Design of Near Optimal Decision Rules in Multistage Adaptive ...

    E-Print Network [OSTI]

    2014-09-02T23:59:59.000Z

    ... of admissible decision rules, and can lead to the same worst-case performance as ..... where 1(?) is the indicator function and N is the number of samples used.

  4. Existing air sparging model and literature review for the development of an air sparging optimization decision tool

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    The objectives of this Report are two-fold: (1) to provide overviews of the state-of-the-art and state-of-the-practice with respect to air sparging technology, air sparging models and related or augmentation technologies (e.g., soil vapor extraction); and (2) to provide the basis for the development of the conceptual Decision Tool. The Project Team conducted an exhaustive review of available literature. The complete listing of the documents, numbering several hundred and reviewed as a part of this task, is included in Appendix A. Even with the large amount of material written regarding the development and application of air sparging, there still are significant gaps in the technical community`s understanding of the remediation technology. The results of the literature review are provided in Section 2. In Section 3, an overview of seventeen conceptual, theoretical, mathematical and empirical models is presented. Detailed descriptions of each of the models reviewed is provided in Appendix B. Included in Appendix D is a copy of the questionnaire used to compile information about the models. The remaining sections of the document reflect the analysis and synthesis of the information gleaned during the literature and model reviews. The results of these efforts provide the basis for development of the decision tree and conceptual decision tool for determining applicability and optimization of air sparging. The preliminary decision tree and accompanying information provided in Section 6 describe a three-tiered approach for determining air sparging applicability: comparison with established scenarios; calculation of conceptual design parameters; and the conducting of pilot-scale studies to confirm applicability. The final two sections of this document provide listings of the key success factors which will be used for evaluating the utility of the Decision Tool and descriptions of potential applications for Decision Tool use.

  5. Optimization Online - Information Gap Decision Theory Based OPF ...

    E-Print Network [OSTI]

    rabiee abbas

    2015-01-03T23:59:59.000Z

    Jan 3, 2015 ... Abstract: A method for solving the optimal power flow (OPF) problem including HVDC connected offshore wind farms is presented in this paper.

  6. Learning bounded optimal behavior using Markov decision processes

    E-Print Network [OSTI]

    Vuong, Hon Fai, 1975-

    2007-01-01T23:59:59.000Z

    Creating agents that behave rationally in the real-world is one goal of Artificial Intelligence. A rational agent is one that takes, at each point in time, the optimal action such that its expected utility is maximized. ...

  7. Water Optimizer Suite: Tools for Decision Support and Policy Analysis

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    , irrigation system options, well and pump characteristics and water supply. Irrigation options include center pivot or gravity irrigation systems, well or canal delivery, and systems powered by electricity, diesel irrigation water when water supplies are limited. The Water Optimizer Suite consists of four separate

  8. Technology, Language, and Public Decisions: Finding Common Ground for Experts and Citizens

    E-Print Network [OSTI]

    Jensen, David

    Technology, Language, and Public Decisions: Finding Common Ground for Experts and Citizens David D@cs.umass.edu Todd M. La Porte School of Systems Engineering & Policy Analysis Delft University of Technology Delft, The Netherlands tlaporte@tmn.com Abstract---Many conflicts over specific technologies could be alleviated

  9. Technology Development Transition Process: Decision-Making Guide and Checklist

    SciTech Connect (OSTI)

    Schaeffer, Michael L.; Ace, Mary H.; Martin, Steven W.

    2011-03-01T23:59:59.000Z

    This document supports right-sizing documentation needs with technology development and deployment projects.

  10. Using exploratory data analysis modified Box Plots to enhance Monte Carlo simulated Range Estimating Decision Technology 

    E-Print Network [OSTI]

    Clutter, David John

    1992-01-01T23:59:59.000Z

    Range Estimating Decision Technology (REDT) is a statistical analysis program designed to evaluate the quality of estimates. REDT provides two analysis of an estimate. 1) It evaluates the probability of attaining the estimated cost of a project. 2...

  11. New information technologies in public participation : a challenge to old decision-making institutional frameworks

    E-Print Network [OSTI]

    Ferraz de Abreu, Pedro Manuel Barbosa

    2002-01-01T23:59:59.000Z

    Given the progress in information technology (IT) in the past 30 years, I hypothesized that new conditions exist for considerable improvements in public participation in decision-making. In order to test my hypothesis, I ...

  12. FISH HABITAT OPTIMIZATION TO PRIORITIZE RIVER RESTORATION DECISIONS S. E. NULLa

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    ) from a natal stream and is applied as a case study in California's Shasta River. Restoration activitiesFISH HABITAT OPTIMIZATION TO PRIORITIZE RIVER RESTORATION DECISIONS S. E. NULLa * and J. R. LUNDb restoration alternatives for improving fish habitat by evaluating tradeoffs between fish production

  13. Local Decisions and Optimal Distributed Detection in Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Local Decisions and Optimal Distributed Detection in Mobile Wireless Sensor Networks Xusheng Sun that hybrids of them perform best. I. INTRODUCTION In an ad-hoc mobile wireless sensor network, mobile de, GA 30332­0250 Email: {xsun7, ejc}@gatech.edu Abstract--A set of mobile wireless sensors observe

  14. Optimal digital system design in deep submicron technology

    E-Print Network [OSTI]

    Heo, Seongmoo, 1977-

    2006-01-01T23:59:59.000Z

    The optimization of a digital system in deep submicron technology should be done with two basic principles: energy waste reduction and energy-delay tradeoff. Increased energy resources obtained through energy waste reduction ...

  15. PROJECT W-551 INTERIM PRETREATMENT SYSTEM TECHNOLOGY SELECTION SUMMARY DECISION REPORT AND RECOMMENDATION

    SciTech Connect (OSTI)

    CONRAD EA

    2008-08-12T23:59:59.000Z

    This report provides the conclusions of the tank farm interim pretreatment technology decision process. It documents the methodology, data, and results of the selection of cross-flow filtration and ion exchange technologies for implementation in project W-551, Interim Pretreatment System. This selection resulted from the evaluation of specific scope criteria using quantitative and qualitative analyses, group workshops, and technical expert personnel.

  16. MODELING AND TECHNOLOGY FOR MAKING QUANTITATIVE MANAGERIAL DECISIONS

    E-Print Network [OSTI]

    Clark, Alistair

    of Technology, Vietnam, 12-13 October 2006. ABSTRACT In recent years, powerful modeling languages such as AMPL in the low- income and emerging economies. Fortunately, the world-wide scope of the internet has put powerful the humble-but-powerful spreadsheet. 1. INTRODUCTION The application of Operational Research (OR), known

  17. Techniques and Technology Article Optimizing Radio Retention and Minimizing Radio

    E-Print Network [OSTI]

    Sandercock, Brett K.

    Techniques and Technology Article Optimizing Radio Retention and Minimizing Radio Impacts the duration of transmitter attachment and minimizing the impacts of radios on the behavior and demography of the study animal. We tested 4 methods of radio attachment for a breeding population of upland sandpipers

  18. System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies

    E-Print Network [OSTI]

    de Weck, Olivier L.

    System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing

  19. New Clean Coal Cycle Optimized Using Pinch Technology

    E-Print Network [OSTI]

    Rossiter, A. P.; O'Donnell, J. J.

    NEW CLEAN COAL CYCLE OPTIMIZED USING PINCH TECHNOLOGY A. P. ROSSITER, Linnhoff March I 0'00 ' nc., Houston, TX J. J. NNELL, The M. W. Kellogg Company, Houston, TX High thermal efficiency and low levels of environmental emissions...~en incorporated in the present des1gn, some of them could be of use in later generations of the process. CONCLUSIONS The hybrid cycle is a very promising new clean coal power plant technology. Its benefits include: ? Very low NO and SOx emission levels...

  20. DECISION ANALYSIS AND TECHNOLOGY ASSESSMENTS FOR METAL AND MASONRY DECONTAMINATION TECHNOLOGIES

    SciTech Connect (OSTI)

    M.A. Ebadian, Ph.D.

    1999-01-01T23:59:59.000Z

    The purpose of this investigation was to conduct a comparative analysis of innovative technologies for the non-aggressive removal of coatings from metal and masonry surfaces and the aggressive removal of one-quarter to one-inch thickness of surface from structural masonry. The technologies tested should be capable of being used in nuclear facilities. Innovative decontamination technologies are being evaluated under standard, non-nuclear conditions at the FIU-HCET technology assessment site in Miami, Florida. This study is being performed to support the OST, the Deactivation and Decommissioning (D&D) Focus Area, and the environmental restoration of DOE facilities throughout the DOE complex by providing objective evaluations of currently available decontamination technologies.

  1. Enhancing the systems decision process with flexibility analysis for optimal unmanned aircraft system selection

    E-Print Network [OSTI]

    Bachmann, Chris H., III (Christopher Henry)

    2008-01-01T23:59:59.000Z

    Systems Engineers often conduct decision analysis in order to provide decision makers with a quantifiable means to make decisions. However, the field of Systems Engineering is often criticized for focusing on processes and ...

  2. General Methodology Combining Engineering Optimization of Primary HVAC & R Plants with Decision Analysis Methods--Part I: Deterministic Analysis

    SciTech Connect (OSTI)

    Jiang, Wei; Reddy, T. A.

    2007-01-31T23:59:59.000Z

    This paper is the first of a two-part sequence that proposes a general methodology for dynamic scheduling and optimal control of complex primary HVAC&R plants, which combines engineering analyses within a practical decision analysis framework by modeling risk attitudes of the operator. The paper was based on work done prior to employment by Battelle.

  3. Exact Solution of Graph Coloring Problems via - Optimization Online

    E-Print Network [OSTI]

    2011-09-21T23:59:59.000Z

    While, in the second case, this would be useless, since ? would be anyway the ...... Horizons: Advances in Computing, Optimization, and Decision Technologies.

  4. STATE-OF-THE-ART AND EMERGING TRUCK ENGINE TECHNOLOGIES FOR OPTIMIZED PERFORMANCE, EMISSIONS AND LIFE CYCLE COSTS

    SciTech Connect (OSTI)

    Schittler, M

    2003-08-24T23:59:59.000Z

    The challenge for truck engine product engineering is not only to fulfill increasingly stringent emission requirements, but also to improve the engine's economical viability in its role as the backbone of our global economy. While societal impact and therefore emission limit values are to be reduced in big steps, continuous improvement is not enough but technological quantum leaps are necessary. The introduction and refinement of electronic control of all major engine systems has already been a quantum leap forward. Maximizing the benefits of these technologies to customers and society requires full use of parameter optimization and other enabling technologies. The next big step forward will be widespread use of exhaust aftertreatment on all transportation related diesel engines. While exhaust gas aftertreatment has been successfully established on gasoline (Otto cycle) engines, the introduction of exhaust aftertreatment especially for heavy-duty diesel engines will be much mo re demanding. Implementing exhaust gas aftertreatment into commercial vehicle applications is a challenging task but the emission requirements to be met starting in Europe, the USA and Japan in the 2005-2007 timeframe require this step. The engine industry will be able to implement the new technology if all stakeholders support the necessary decisions. One decision has already been taken: the reduction of sulfur in diesel fuel being comparable with the elimination of lead in gasoline as a prerequisite for the three-way catalyst. Now we have the chance to optimize ecology and economy of the Diesel engine simultaneously by taking the decision to provide an additional infrastructure for a NOx reduction agent needed for the introduction of the Selective Catalytic Reduction (SCR) technology that is already implemented in the electric power generation industry. This requires some effort, but the resulting societal benefits, fuel economy and vehicle life cycle costs are significantly better when compared to other competitive technologies. After long discussions this decision for SCR has been made in Europe and is supported by all truck and engine manufacturers. The necessary logistic support will be in place when it will be needed commercially in 2005. For the US the decision has to be taken this year in order to have the infrastructure available in 2007. It will enable the global engine industry to focus their R & D resources in one direction not only for 2007, but for the years beyond 2010 with the best benefit for the environment, the customers and the industry.

  5. Modeling and Analysis in Support of Decision Making for Technological Investment

    SciTech Connect (OSTI)

    Lenhart, S

    2003-06-11T23:59:59.000Z

    Engineering design, resource allocation, military operations, and investment strategies share a major common trait, which is, to a large extent, independent of their different origins, specific features, and intended goals. The unifying trait is the fact that, in any of these endeavors, one has to make reasonable choices, at multiple levels of decision making, among various possible and sometimes competing prospective solutions to an important and consequential practical problem. While the specifics of the problem depend on application, context, additional constraints, etc., the ultimate--albeit imprecise--goal in all these activities is to ''optimize performance,'' which is to have maximal success/profit/return with minimal time/effort/investment. In general, the underlying system is ruled by complex and often unknown dynamics, and affected by various uncertainties, which are unknown as well; on the other hand, there are numerous levels of decision making, which result in a hierarchical structure in the decision process (tree) that is both asynchronous and non-deterministic. Usually, indifferent of the specific application, as one lowers the level of decision making, alternatives depend on fewer independent variables and models become more detailed and physics/engineering based. On the contrary, at higher levels, various components aggregate and decision making is based more on fuzzier criteria instead of readily quantifiable physics/engineering details. Moreover, decisions are strongly influenced by the educational and personal biases of the people who take them. In some instances, this may blur, if not totally obfuscate objective comparisons between various options. Therefore, a crucial point in decision-making is properly understanding and quantifying the tradeoffs, including all their future relevant consequences. Since the interaction between various choices is an intricate nonlinear process, the focus shifts from the dynamics itself to the overall performance and affordability. This is not unreasonable, since oftentimes major upgrades on some components have little impact, while minor upgrades of other components turn out to be critical. To illustrate the approach, we assume that one deals with only two levels. At the lower level, physical/engineering processes are described by continuous and/or discrete, analytic and/or computer models. These models are supposed to be deterministic (e.g. dynamics as ruled by well established physical laws), but their outcome may depend in an unpredictable way on: (i) small nonlinearities unaccounted for in the model development and/or (ii) factors that--at the specific level of modelization--may be treated as stochastic terms (weather conditions, human factors, political circumstances, fluctuations in the quality of carburant, wear and tear, etc.) To this extent, the outcomes of the model processes may be considered stochastic variables/fields with a certain probability distribution function (PDF). Upon many realizations of the model, one can get reliable information about the essential features of this PDF.

  6. Performance Guarantee of a Sub-Optimal Policy for a Discrete Markov Decision Process and Its Application to a Robotic Surveillance Problem

    E-Print Network [OSTI]

    Park, Myoungkuk

    2014-04-24T23:59:59.000Z

    This dissertation deals with the development and analysis of sub-optimal decision algorithms for a collection of robots that assist a remotely located operator in perimeter surveillance. The operator is tasked with the classification of incursions...

  7. Autonomy and operator-assistance technologies optimize mining processes and mining equipment operation.

    E-Print Network [OSTI]

    Gupta, Abhinav

    operation. · Drills, miners and shearers are guided with laser precision for maximum extraction from the ore#12;· Autonomy and operator-assistance technologies optimize mining processes and mining equipment

  8. Vehicle Technologies Office Merit Review 2015: Optimization of Ion Transport in High-Energy Composite Cathodes

    Broader source: Energy.gov [DOE]

    Presentation given by UC San Diego at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about optimization of ion transport in...

  9. Bicriteria Optimization of Technological Parameters in Compact Algorithm for Designing Soft Magnetic Composites

    E-Print Network [OSTI]

    Sokalski, Krzysztof; ?lusarek, Barbara

    2015-01-01T23:59:59.000Z

    The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.

  10. Bicriteria Optimization of Technological Parameters in Compact Algorithm for Designing Soft Magnetic Composites

    E-Print Network [OSTI]

    Krzysztof Sokalski; Bartosz Jankowski; Barbara ?lusarek

    2015-03-11T23:59:59.000Z

    The paper presents a novel algorithm for designing technological parameters by which one optimize power losses and induction in SMC. The advantage of the presented algorithm consists in the bicriteria optimization: minimization of losses and maximization of induction. The crucial role in the presented algotithm plays scaling.

  11. Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare

    E-Print Network [OSTI]

    Alvarado, Michelle

    2014-11-26T23:59:59.000Z

    and exchange information leading to solutions that adapt to changes in system data. The integrated simulation and optimization approach was applied to the scheduling of chemotherapy appointments in an outpatient oncology clinic. First, a simulation of oncology...

  12. Proposed technologies for use in the National TRU waste system optimization.

    SciTech Connect (OSTI)

    Moody, D. C. (David C.); Lott, S. A. (Sheila A.); Behrens, R. G. (Robert G.); Basabilvazo, George T. (George Taylor),; Countiss, S. (Sue)

    2002-01-01T23:59:59.000Z

    Technology deployments planned for the National TRU Waste System Optimization Project are aimed at using appropriate cost-effective technologies to drive the national TRU waste system to a performance-driven certification system that is based on administrative and operational requirements with a sound safety and/or technical basis. Appropriate technology deployments are determined by first identifying technology needs; selecting promising technologies; and overseeing the development of operating procedures, personnel training, testing, and startup and operations to ensure that the resulting operations function correctly and meet the TRU waste certification requirements.

  13. New Clean Coal Cycle Optimized Using Pinch Technology 

    E-Print Network [OSTI]

    Rossiter, A. P.; O'Donnell, J. J.

    1990-01-01T23:59:59.000Z

    transport reaction technology, developed originally for Fluid Catalytic Cracking plants, is used in the coal conversion steps; and pulverized limestone is circulated with the coal to capture the sulfur that is released during this process. Both gas turbines...

  14. Optimal Control Dr. Gabriele De Chiara (Quantum Technology Group)

    E-Print Network [OSTI]

    Paxton, Anthony T.

    of liquid that has to be moved from A to B in the shortest time possible. One strategy is to go at constant. Moreover, there is the danger to spill it during the process. Another strategy is to accelerate first in an energy potential which is moved from A to B. Aims The aim of the project is the study of optimal control

  15. Water management in hydraulic fracturing-a planning and decision optimization platform

    E-Print Network [OSTI]

    Mehta, Neha, S.M. Massachusetts Institute of Technology

    2014-01-01T23:59:59.000Z

    Recent developments in hydraulic fracturing technology have enabled cost-effective production of unconventional resources, particularly shale gas in the U.S. The process of hydraulic fracturing is water intensive, requiring ...

  16. Optimal Digital System Design in Deep Submicron Technology Seongmoo Heo

    E-Print Network [OSTI]

    in deep submicron technology should be done with two basic principles: energy waste reduction and energy-delay tradeoff. Increased energy resources obtained through energy waste reduction are utilized through energy- ergy consumption. While energy waste due to unnecessary switching could be reduced with small increases

  17. Technology investment decisions under uncertainty : a new modeling framework for the electric power sector

    E-Print Network [OSTI]

    Santen, Nidhi

    2013-01-01T23:59:59.000Z

    Effectively balancing existing technology adoption and new technology development is critical for successfully managing carbon dioxide (CO2) emissions from the fossil-dominated electric power generation sector. The long ...

  18. Risk-Based Technology Assessment for Capital Equipment Acquisition Decisions in Small Firms

    E-Print Network [OSTI]

    Merriweather, Samuel P.

    2013-08-06T23:59:59.000Z

    purchases. However, these company leaders may not have adequate expertise in the operations of candidate technologies or may lack the understanding necessary to determine how new technologies may impact other company operations. Appropriate financial...

  19. TEHNOMUS -New Technologies and Products in Machine Manufacturing Technologies" USING VIRTUAL PARTS TO OPTIMIZE THE METROLOGY

    E-Print Network [OSTI]

    Boyer, Edmond

    TEHNOMUS - New Technologies and Products in Machine Manufacturing Technologies" 9 USING VIRTUAL is a perfect perpendicular cylinder and all plane surfaces #12;TEHNOMUS - New Technologies and Products the dispersion of the position of different drilled holes (XYZ values in a coordinate system) when we change

  20. General Methodology Combining Engineering Optimization of Primary HVAC and R Plants with Decision Analysis Methods--Part II: Uncertainty and Decision Analysis

    SciTech Connect (OSTI)

    Jiang, Wei; Reddy, T. A.; Gurian, Patrick

    2007-01-31T23:59:59.000Z

    A companion paper to Jiang and Reddy that presents a general and computationally efficient methodology for dyanmic scheduling and optimal control of complex primary HVAC&R plants using a deterministic engineering optimization approach.

  1. Optimization of accelerator-driven technology for LWR waste transmutation

    SciTech Connect (OSTI)

    Bowman, C.D.

    1996-12-31T23:59:59.000Z

    The role of accelerator-driven transmutation technology is examined in the context of the destruction of actinide waste from commercial light water reactors. It is pointed out that the commercial plutonium is much easier to use for entry-level nuclear weapons than weapons plutonium. Since commercial plutonium is easier to use, since there is very much more of it already, and since it is growing rapidly, the permanent disposition of commercial plutonium is an issue of greater importance than weapons plutonium. The minor actinides inventory, which may be influenced by transmutation, is compared in terms of nuclear properties with commercial and weapons plutonium and for possible utility as weapons material. Fast and thermal spectrum systems are compared as means for destruction of plutonium and the minor actinides. it is shown that the equilibrium fast spectrum actinide inventory is about 100 times larger than for thermal spectrum systems, and that there is about 100 times more weapons-usable material in the fast spectrum system inventory compared to the thermal spectrum system. Finally it is shown that the accelerator size for transmutation can be substantially reduced by design which uses the accelerator-produced neutrons only to initiate the unsustained fission chains characteristic of the subcritical system. The analysis argues for devoting primary attention to the development of thermal spectrum transmutation technology. A thermal spectrum transmuter operating at a fission power of 750-MWth fission power, which is sufficient to destroy the actinide waste from one 3,000-MWth light water reactor, may be driven by a proton beam of 1 GeV energy and a current of 7 mA. This accelerator is within the range of realizable cyclotron technology and is also near the size contemplated for the next generation spallation neutron source under consideration by the US, Europe, and Japan.

  2. FIELD TESTING & OPTIMIZATION OF CO2/SAND FRACTURING TECHNOLOGY

    SciTech Connect (OSTI)

    Raymond L. Mazza

    2004-11-30T23:59:59.000Z

    These contract efforts involved the demonstration of a unique liquid free stimulation technology which was, at the beginning of these efforts, in 1993 unavailable in the US. The process had been developed, and patented in Canada in 1981, and held promise for stimulating liquid sensitive reservoirs in the US. The technology differs from that conventionally used in that liquid carbon dioxide (CO{sub 2}), instead of water is the base fluid. The CO{sub 2} is pumped as a liquid and then vaporizes at reservoir conditions, and because no other liquids or chemicals are used, a liquid free fracture is created. The process requires a specialized closed system blender to mix the liquid CO{sub 2} with proppant under pressure. These efforts were funded to consist of up to 21 cost-shared stimulation events. Because of the vagaries of CO{sub 2} supplies, service company support and operator interest only 19 stimulation events were performed in Montana, New Mexico, and Texas. Final reports have been prepared for each of the four demonstration groups, and the specifics of those demonstrations are summarized. A summary of the demonstrations of a novel liquid-free stimulation process which was performed in four groups of ''Candidate Wells'' situated in Crockett Co., TX; San Juan Co., NM; Phillips Co., MT; and Blaine Co., MT. The stimulation process which employs CO{sub 2} as the working fluid and the production responses were compared with those from wells treated with conventional stimulation technologies, primarily N{sub 2} foam, excepting those in Blaine Co., MT where the reservoir pressure is too low to clean up spent stimulation liquids. A total of 19 liquid-free CO{sub 2}/sand stimulations were performed in 16 wells and the production improvements were generally uneconomic.

  3. Optimization of soil mixing technology through metallic iron addition.

    SciTech Connect (OSTI)

    Moos, L. P.

    1999-01-15T23:59:59.000Z

    Enhanced soil mixing is a process used to remove volatile organic compounds (VOCs) from soil. In this process, also known as soil mixing with thermally enhanced soil vapor extraction, or SM/TESVE, a soil mixing apparatus breaks up and mixes a column of soil up to 9 m (30 ft) deep; simultaneously, hot air is blown through the soil. The hot air carries the VOCs to the surface where they are collected and safely disposed of. This technology is cost effective at high VOC concentrations, but it becomes cost prohibitive at low concentrations. Argonne National Laboratory-East conducted a project to evaluate ways of improving the effectiveness of this system. The project investigated the feasibility of integrating the SM/TESVE process with three soil treatment processes--soil vapor extraction, augmented indigenous biodegradation, and zero-valent iron addition. Each of these technologies was considered a polishing treatment designed to remove the contaminants left behind by enhanced soil mixing. The experiment was designed to determine if the overall VOC removal effectiveness and cost-effectiveness of the SM/TESVE process could be improved by integrating this approach with one of the polishing treatment systems.

  4. Decision Analysis Science Modeling for Application and Fielding Selection Applied to Concrete Decontamination Technologies

    SciTech Connect (OSTI)

    Ebadian, M.A. Ross, T.L.

    1998-01-01T23:59:59.000Z

    Concrete surfaces contaminated with radionuclides present a significant challenge during the decontamination and decommissioning (D and D) process. As structures undergo D and D, coating layers and/or surface layers of the concrete containing the contaminants must be removed for disposal in such a way as to present little to no risk to human health or the environment. The selection of a concrete decontamination technology that is safe, efficient, and cost-effective is critical to the successful D and D of contaminated sites. To support U.S. Department of Energy (DOE) Environmental Management objectives and to assist DOE site managers in the selection of the best-suited concrete floor decontamination technology(s) for a given site, two innovative and three baseline technologies have been assessed under standard, non-nuclear conditions at the Hemispheric Center for Environmental Technology (HCET) at Florida International University (FIU). The innovative technologies assessed include the Pegasus Coating Removal System and Textron's Electro-Hydraulic Scabbling System. The three baseline technologies assessed include: the Wheelabrator Blastrac model 1-15D, the NELCO Porta Shot Blast{trademark} model GPx-1O-18 HO Rider, and the NELCO Porta Shot Blast{trademark} model EC-7-2. These decontamination technology assessments provide directly comparable performance data that have previously been available for only a limited number of technologies under restrictive site-specific constraints. Some of the performance data collected during these technology assessments include: removal capability, production rate, removal gap, primary and secondary waste volumes, and operation and maintenance requirements. The performance data generated by this project is intended to assist DOE site managers in the selection of the safest, most efficient, and cost-effective decontamination technologies to accomplish their remediation objectives.

  5. How to use Big Data technologies to optimize operations in Upstream Petroleum Industry

    E-Print Network [OSTI]

    Boyer, Edmond

    How to use Big Data technologies to optimize operations in Upstream Petroleum Industry Abdelkader for it to have value. But what about Big Data generated by the Petroleum Industry and particularly its upstream; Analytics; Upstream Petroleum Industry; Knowledge Management; KM; Business Intelligence; BI; Innovation

  6. How to use Big Data technologies to optimize operations in Upstream Petroleum Industry

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    How to use Big Data technologies to optimize operations in Upstream Petroleum Industry Abdelkader generated by the Petroleum Industry and particularly its upstream segment? Upstream is no stranger to Big the desired outcomes? Keywords Big Data; Analytics; Upstream Petroleum Industry; Knowledge Management; KM

  7. Decision Analysis Science Modeling for Application and Fielding Selection Applied to Metal Decontamination Technologies

    SciTech Connect (OSTI)

    Lagos, L.E.; Ebadian, M.A.

    1998-01-01T23:59:59.000Z

    During the decontamination and decommissioning (D and D) activities being conducted by the U.S. Department of Energy (DOE), approximately 550,000 metric tons of contaminated metal will be generated by the disposition of contaminated buildings. The majority of the structural steel is considered to be radiologically contaminated. The D and D activities require the treatment of the structural steel to reduce occupational and environmental radiological exposures during dismantlement. Treatment technologies may also be required for possible recycling. Many proven commercial treatment technologies are available. These treatment processes vary in aggressiveness, safety requirements, secondary waste generation, necessary capital, and operation and maintenance costs. Choosing the appropriate technology to meet the decontamination objectives for structural steel is a difficult process. A single information source comparing innovative and nuclear and non-nuclear technologies in the areas of safety, cost and effectiveness is not currently commercially available to perform a detailed analysis. This study presents comparable data related to operation and maintenance, cost, and health and safely aspects of three readily available technologies and one innovative technology for nuclear decontamination. The technologies include Advance Recyclable Media System (ARMS{trademark}), NELCO Porta Shot Blast{trademark} (JHJ-2000), Pegasus Coating Removal System 7 (PCRS-7) and the innovative laser ablation technology called the Yag Eraser{trademark}.

  8. Power Supply Optimization in Sub-130 nm Leakage Dominant Technologies Man L Mui Kaustav Banerjee Amit Mehrotra

    E-Print Network [OSTI]

    Power Supply Optimization in Sub-130 nm Leakage Dominant Technologies Man L Mui Kaustav Banerjee a methodology for systematically optimizing the power supply voltage for maximizing the performance of VLSI cir- cuits in technologies where leakage power is not an insignificant fraction of the total power

  9. Distributed Energy Resources On-Site Optimization for Commercial Buildings with Electric and Thermal Storage Technologies

    SciTech Connect (OSTI)

    Lacommare, Kristina S H; Stadler, Michael; Aki, Hirohisa; Firestone, Ryan; Lai, Judy; Marnay, Chris; Siddiqui, Afzal

    2008-05-15T23:59:59.000Z

    The addition of storage technologies such as flow batteries, conventional batteries, and heat storage can improve the economic as well as environmental attractiveness of on-site generation (e.g., PV, fuel cells, reciprocating engines or microturbines operating with or without CHP) and contribute to enhanced demand response. In order to examine the impact of storage technologies on demand response and carbon emissions, a microgrid's distributed energy resources (DER) adoption problem is formulated as a mixed-integer linear program that has the minimization of annual energy costs as its objective function. By implementing this approach in the General Algebraic Modeling System (GAMS), the problem is solved for a given test year at representative customer sites, such as schools and nursing homes, to obtain not only the level of technology investment, but also the optimal hourly operating schedules. This paper focuses on analysis of storage technologies in DER optimization on a building level, with example applications for commercial buildings. Preliminary analysis indicates that storage technologies respond effectively to time-varying electricity prices, i.e., by charging batteries during periods of low electricity prices and discharging them during peak hours. The results also indicate that storage technologies significantly alter the residual load profile, which can contribute to lower carbon emissions depending on the test site, its load profile, and its adopted DER technologies.

  10. Robust Markov Decision Processes

    E-Print Network [OSTI]

    2012-02-09T23:59:59.000Z

    Probability and Measure. Wiley Blackwell, 1995. [8] E. Delage and S. Mannor. Percentile optimization for Markov decision processes with parameter uncertainty

  11. Technology and architecture : informing investment decisions for the future of human space exploration

    E-Print Network [OSTI]

    Battat, Jonathan Alexander

    2012-01-01T23:59:59.000Z

    NASA's detailed programmatic goals, system architectures, and mission designs for future human spaceflight beyond Earth orbit remain unspecified. Given this uncertainty, it is not clear exactly which technologies are ...

  12. Climate Change Technology R&D Portfolio Decision Making Under Uncertainty

    SciTech Connect (OSTI)

    Baker, E.; Keisler, J.; Chon, H.

    2008-11-17T23:59:59.000Z

    In this project we have completed, or are in the process of, collecting and analyzing information on seven energy technologies – solar photovoltaics, nuclear power, carbon capture and storage, electricity from biomass, liquid bio-fuels, and batteries – in regards to their potential impact on reducing greenhouse gas emissions. We have collected expert elicitations, relating U.S. government funding trajectories to probabilities of success. We then used MiniCAM, a technologically-detailed Integrated Assessnent Model to determine the impact on the marginal cost of reducing greenhouse gas emissions, if the technologies were successful. Finally, we have performed initial analysis on portfolios of technologies. This project has partially supported nine papers, either published, under review, or under preparation for such journals as Energy Economics, The Energy Journal, Climatic Change, Management Science, and Transportation Research.

  13. DECISION ANALYSIS SCIENCE MODELING FOR APPLICATION AND FIELDING SELECTION APPLIED TO EQUIPMENT DISMANTLEMENT TECHNOLOGIES

    SciTech Connect (OSTI)

    M.A. Ebadian, Ph.D.

    1999-01-01T23:59:59.000Z

    The dismantlement of radioactively contaminated process equipment is a major concern during the D&D process. There are an estimated 1,200 buildings in the DOE-EM complex that will require the dismantlement of equipment and various metal structures. As buildings undergo the D&D process, this metallic equipment contaminated with radionuclides such as uranium and plutonium must be size-reduced before final disposal. A single information source comparing dismantlement technologies in the areas of safety, cost, and performance is needed by DOE managers and is not currently available. The selection of the appropriate technologies to meet the dismantlement objectives for a given site is a difficult process in the absence of comprehensive and comparable data. Choosing the wrong technology could result in increased exposure of personnel to contaminants and an increase in D&D project costs. The purpose of this investigation was to evaluate commercially available and innovative technologies for equipment dismantlement and provide a comprehensive source of information to the D&D community in the areas of technology performance, cost, and health and safety.

  14. Information technology and decision support tools for stakeholder-driven river basin salinity management

    SciTech Connect (OSTI)

    Quinn, N.W.T; Cozad, D.B.; Lee, G.

    2010-01-01T23:59:59.000Z

    Innovative strategies for effective basin-scale salinity management have been developed in the Hunter River Basin of Australia and more recently in the San Joaquin River Basin of California. In both instances web-based stakeholder information dissemination has been a key to achieving a high level of stakeholder involvement and the formulation of effective decision support salinity management tools. A common element to implementation of salinity management strategies in both river basins has been the concept of river assimilative capacity for controlling export salt loading and the potential for trading of the right to discharge salt load to the river - the Hunter River in Australia and the San Joaquin River in California. Both rivers provide basin drainage and the means of exporting salt to the ocean. The paper compares and contrasts the use of monitoring, modeling and information dissemination in the two basins to achieve environmental compliance and sustain irrigated agriculture in an equitable and socially and politically acceptable manner.

  15. The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies

    E-Print Network [OSTI]

    Favoino, Fabio; Overend, Mauro; Jin, Quian

    2015-06-17T23:59:59.000Z

    is plotted in Fig. 2 by a black dashed line. 142 143 Fig 2. Tvis and g-value of smart glazing technologies compared to commercially available static DGUs. 144 3. The ideal adaptive glazed façade 145 An ideal adaptive façade can be defined as a façade... are identified. Of these one of the most important 24 findings is that a unique optimized technology, varying its thermo-optical properties between a limited number 25 of states could be effective in different climates and orientations. 26 Keywords: smart...

  16. Energy Saving Melting and Revert Reduction Technology (E-SMARRT): Design Support for Tooling Optimization

    SciTech Connect (OSTI)

    Wang, Dongtao

    2011-09-23T23:59:59.000Z

    High pressure die casting is an intrinsically efficient net shape process and improvements in energy efficiency are strongly dependent on design and process improvements that reduce scrap rates so that more of the total consumed energy goes into acceptable, usable castings. Computer simulation has become widely used within the industry but use is not universal. Further, many key design decisions must be made before the simulation can be run and expense in terms of money and time often limits the number of decision iterations that can be explored. This work continues several years of work creating simple, very fast, design tools that can assist with the early stage design decisions so that the benefits of simulation can be maximized and, more importantly, so that the chances of first shot success are maximized. First shot success and better running processes contributes to less scrap and significantly better energy utilization by the process. This new technology was predicted to result in an average energy savings of 1.83 trillion BTUs/year over a 10 year period. Current (2011) annual energy saving estimates over a ten year period, based on commercial introduction in 2012, a market penetration of 30% by 2015 is 1.89 trillion BTUs/year by 2022. Along with these energy savings, reduction of scrap and improvement in yield will result in a reduction of the environmental emissions associated with the melting and pouring of the metal which will be saved as a result of this technology. The average annual estimate of CO2 reduction per year through 2022 is 0.037 Million Metric Tons of Carbon Equivalent (MM TCE).

  17. Climate Change and Optimal Energy Technology Department of Mechanical and Industrial Engineering, College of Engineering, University of Massachusetts, Amherst,

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Climate Change and Optimal Energy Technology R&D Policy Erin Baker Department of Mechanical of Massachusetts, Amherst, MA 01003, solak@som.umass.edu Public policy response to global climate change presents accounting for uncertainty and learning in climate change can have a large impact on optimal policy

  18. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01T23:59:59.000Z

    The present work looks into the question of optimizing the performance of product launch decisions-in particular, the decisions of product development duration and manufacturing ramp-up. It presents an innovative model for ...

  19. Optimization Online - Nonlinear Optimization Submissions - 2003

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  20. Optimization Online - Nonlinear Optimization Submissions - 2001

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  1. Optimization Online - Global Optimization Submissions - 2007

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  2. Optimization Online - Global Optimization Submissions - 2001

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  3. Optimization Online - Nonlinear Optimization Submissions - 2000

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  4. Optimization Online - Combinatorial Optimization Submissions - 2002

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  5. Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs

    E-Print Network [OSTI]

    Ortiz Prada, Rubiel Paul

    2012-02-14T23:59:59.000Z

    of Gething D Formation for the study area in UGR?s integrated reservoir study, meters sstvd (subsea true vertical depth). N ? S yellow dashed line indicates a section in the North to South direction shown on Figure 10. ................................ 31... curve analysis performed on simulated production. The figure represents a typical gas production rate vs. time. The figure shows to, the transition point from hyperbolic to exponential decline. . 78 Figure 50 Schematic decision tree...

  6. Optimal Technology Selection and Operation of Microgrids inCommercial Buildings

    SciTech Connect (OSTI)

    Marnay, Chris; Venkataramanan, Giri; Stadler, Michael; Siddiqui,Afzal; Firestone, Ryan; Chandran, Bala

    2007-01-15T23:59:59.000Z

    The deployment of small (<1-2 MW) clusters of generators,heat and electrical storage, efficiency investments, and combined heatand power (CHP) applications (particularly involving heat activatedcooling) in commercial buildings promises significant benefits but posesmany technical and financial challenges, both in system choice and itsoperation; if successful, such systems may be precursors to widespreadmicrogrid deployment. The presented optimization approach to choosingsuch systems and their operating schedules uses Berkeley Lab'sDistributed Energy Resources Customer Adoption Model [DER-CAM], extendedto incorporate electrical storage options. DER-CAM chooses annual energybill minimizing systems in a fully technology-neutral manner. Anillustrative example for a San Francisco hotel is reported. The chosensystem includes two engines and an absorption chiller, providing anestimated 11 percent cost savings and 10 percent carbon emissionreductions, under idealized circumstances.

  7. A. Kusiak, Data Mining and Decision Making, in B.V. Dasarathy (Ed.), Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Vol. 4730, SPIE, Orlando, FL, April 2002, pp. 155-165.

    E-Print Network [OSTI]

    Kusiak, Andrew

    A. Kusiak, Data Mining and Decision Making, in B.V. Dasarathy (Ed.), Proceedings of the SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Vol. 4730, SPIE, Orlando, FL, April 2002, pp. 155-165. Data Mining and Decision Making Andrew Kusiak Department of Mechanical

  8. Integration of Low Energy Technologies for Optimal Building and Space Conditioning Design

    SciTech Connect (OSTI)

    D.E. Fisher

    2006-01-07T23:59:59.000Z

    EnergyPlus is the DOE's newest building energy simulation engine. It was developed specifically to support the design of low energy building systems. This project focused on developing new low energy building simulation models for EnergyPlus, verifying and validating new and existing EnergyPlus models and transferring the new technology to the private sector. The project focused primarily on geothermal and radiant technologies, which are related by the fact that both are based on hydronic system design. As a result of this project eight peer reviewed journal and conference papers were added to the archival literature and five technical reports were published as M.S. theses and are available in the archival literature. In addition, several reports, including a trombe wall validation report were written for web publication. Thirteen new or significantly enhanced modules were added to the EnergyPlus source code and forty-two new or significantly enhanced sections were added to the EnergyPlus documentation as a result of this work. A low energy design guide was also developed as a pedagogical tool and is available for web publication. Finally several tools including a hybrid ground source heat pump optimization program and a geothermal heat pump parameter estimation tool were developed for research and design and are available for web publication.

  9. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01T23:59:59.000Z

    examples due to higher technology costs. To be presented atwe find that at current technology costs, the nursing homeconsidered, and current technology costs from Section 3.2

  10. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01T23:59:59.000Z

    these renewable energy and storage technologies would makeequipment and energy storage technologies. Nevertheless, thechillers, energy storage, or solar-based technologies are

  11. Independent Validation and Verification of Process Design and Optimization Technology Diagnostic and Control of Natural Gas Fired Furnaces via Flame Image Analysis Technology

    SciTech Connect (OSTI)

    Cox, Daryl [ORNL

    2009-05-01T23:59:59.000Z

    The United States Department of Energy, Industrial Technologies Program has invested in emerging Process Design and Optimizations Technologies (PDOT) to encourage the development of new initiatives that might result in energy savings in industrial processes. Gas fired furnaces present a harsh environment, often making accurate determination of correct air/fuel ratios a challenge. Operation with the correct air/fuel ratio and especially with balanced burners in multi-burner combustion equipment can result in improved system efficiency, yielding lower operating costs and reduced emissions. Flame Image Analysis offers a way to improve individual burner performance by identifying and correcting fuel-rich burners. The anticipated benefit of this technology is improved furnace thermal efficiency, and lower NOx emissions. Independent validation and verification (V&V) testing of the FIA technology was performed at Missouri Forge, Inc., in Doniphan, Missouri by Environ International Corporation (V&V contractor) and Enterprise Energy and Research (EE&R), the developer of the technology. The test site was selected by the technology developer and accepted by Environ after a meeting held at Missouri Forge. As stated in the solicitation for the V&V contractor, 'The objective of this activity is to provide independent verification and validation of the performance of this new technology when demonstrated in industrial applications. A primary goal for the V&V process will be to independently evaluate if this technology, when demonstrated in an industrial application, can be utilized to save a significant amount of the operating energy cost. The Seller will also independently evaluate the other benefits of the demonstrated technology that were previously identified by the developer, including those related to product quality, productivity, environmental impact, etc'. A test plan was provided by the technology developer and is included as an appendix to the summary report submitted by Environ (Appendix A). That plan required the V&V contractor to: (1) Establish the as-found furnace operating conditions; (2) Tune the furnace using currently available technology to establish baseline conditions; (3) Tune the furnace using the FIA technology; and (4) Document the improved performance that resulted from application of the FIA technology. It is important to note that the testing was not designed to be a competition or comparison between two different methodologies that could be used for furnace tuning. Rather, the intent was to quantify improvements in furnace performance that could not be achieved with existing technology. Therefore, the measure of success is improvement beyond the furnace efficiency obtainable using existing furnace optimization methods rather than improvement from the as found condition.

  12. Decision Support:Decision Support: Decision AnalysisDecision Analysis

    E-Print Network [OSTI]

    Bohanec, Marko

    -Making under Risk · Expected Value · Sensitivity Analysis Decision Analysis Decision Analysis: Applied Decision Decision-Making Process Source: Decision Analysis ­ A Tool to Deal with Uncertainty, http Succeed Fail Decision Trees OR/MS · Multi-Criteria Optimisation · Risk Analysis and Simulation · Bayesian

  13. A decision analysis framework to support long-term planning for nuclear fuel cycle technology research, development, demonstration and deployment

    SciTech Connect (OSTI)

    Sowder, A.G.; Machiels, A.J. [Electric Power Research Institute, 1300 West. W.T Harris Boulevard, Charlotte, NC 28262 (United States); Dykes, A.A.; Johnson, D.H. [ABSG Consulting Inc., 300 Commerce, Suite 200, Irvine, CA 92602 (United States)

    2013-07-01T23:59:59.000Z

    To address challenges and gaps in nuclear fuel cycle option assessment and to support research, develop and demonstration programs oriented toward commercial deployment, EPRI (Electric Power Research Institute) is seeking to develop and maintain an independent analysis and assessment capability by building a suite of assessment tools based on a platform of software, simplified relationships, and explicit decision-making and evaluation guidelines. As a demonstration of the decision-support framework, EPRI examines a relatively near-term fuel cycle option, i.e., use of reactor-grade mixed-oxide fuel (MOX) in U.S. light water reactors. The results appear as a list of significant concerns (like cooling of spent fuels, criticality risk...) that have to be taken into account for the final decision.

  14. Optimization of Advanced Ground-Coupled Heat Pump Systems A heat pump is a technology in which heating and cooling are provided by a single piece of equipment.

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Optimization of Advanced Ground-Coupled Heat Pump Systems A heat pump is a technology in whichGCHP program was developed by a previous MS student to optimize the design of hybrid systems. The current design changes when actual yearly weather data are used and develop a means to increase the optimization

  15. Reverse Osmosis Optimization

    SciTech Connect (OSTI)

    McMordie Stoughton, Kate; Duan, Xiaoli; Wendel, Emily M.

    2013-08-26T23:59:59.000Z

    This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬

  16. 2006 - Optimization Online

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  17. Government Performance Result Act (GPRA) / Portfolio Decision...

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

    Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report PHEVs Component Requirements Vehicle Technologies...

  18. 15.060 Data, Models, and Decisions, Fall 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, ...

  19. The optimal suppression of a low-cost technology by a durable-good monopoly

    E-Print Network [OSTI]

    Karp, Larry; Perloff, Jeffrey M

    1994-01-01T23:59:59.000Z

    SUPPRESSION OF A LOW-COST TECHNOLOGY BY A DURABLE-GOODsuppression of a low-cost technology by a durable-goodSuppression of a Low-Cost Technology by a Durable-Good

  20. Innovation and Transportation's Technologies

    E-Print Network [OSTI]

    Garrison, William L.

    2001-01-01T23:59:59.000Z

    decision making. Innovation and technology lock-in hasStage 1 imagine the innovation and technology developmentof emphasizing innovation and technology development. Pull

  1. Learning or Lock-in: Optimal Technology Policies to Support Mitigation$

    E-Print Network [OSTI]

    Stock, Manfred

    sector (Nordhaus, 2009). In particular, there is concern that the social costs of technology to possible technology lock-ins? (ii) Is it likely for the social costs of innovation externalities to exceed the social costs of technology-specific instruments? (iii) In how far do policies with stronger technology

  2. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01T23:59:59.000Z

    optimal could be acquired. Battery storage costs are roughlylead/acid battery) and thermal storage capabilities wereis limited by battery size - Heat storage is limited by

  3. Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions for a sustainable energy future? Three teams, UMass, Harvard, and FEEM (Fondazione Eni Enrico Mattei), share a goal technologies to fund for optimal success for a sustainable energy future. Progress and Results · Created models

  4. Optimization Online - Distributionally Robust Convex Optimization

    E-Print Network [OSTI]

    Wolfram Wiesemann

    2013-02-04T23:59:59.000Z

    Feb 4, 2013 ... Abstract: Distributionally robust optimization is a paradigm for decision-making under uncertainty where the uncertain problem data is governed ...

  5. Optimization Online Digest -- December 2011

    E-Print Network [OSTI]

    A Security Framework for Smart Metering with Multiple Data Consumers Cristina Rottondi, Giacomo Verticale, Antonio Capone Optimizing Trading Decisions for ...

  6. Optimizing Low Temperature Diesel Combustion (LTC-D) "FreedomCAR and Vehicle Technologies Program Solicitation for University Research and Graduate Automotice Technology Education (GATE) Centers of Excellence"

    SciTech Connect (OSTI)

    Rolf Reitz; P. Farrell; D. Foster; J. Ghandhi; C. Rutland; S. Sanders

    2009-07-31T23:59:59.000Z

    The engine industry is currently facing severe emissions mandates. Pollutant emissions from mobile sources are a major source of concern. For example, US EPA mandates require emissions of particulate and nitrogen oxides (NOx) from heavy-duty diesel engine exhaust to drop at least 90 percent between 1998 and 2010. Effective analysis of the combustion process is required to guide the selection of technologies for future development since exhaust after-treatment solutions are not currently available that can meet the required emission reduction goals. The goal of this project is to develop methods to optimize and control Low Temperature Combustion Diesel technologies (LTC-D) that offers the potential of nearly eliminating engine NOx and particulate emissions at reduced cost over traditional methods by controlling pollutant emissions in-cylinder. The work was divided into 5 Tasks, featuring experimental and modeling components: 1.) Fundamental understanding of LTC-D and advanced model development, 2.) Experimental investigation of LTC-D combustion control concepts, 3.) Application of detailed models for optimization of LTC-D combustion and emissions, 4.) Impact of heat transfer and spray impingement on LTC-D combustion, and 5.) Transient engine control with mixed-mode combustion. As described in the final report (December 2008), outcomes from the research included providing guidelines to the engine and energy industries for achieving optimal low temperature combustion operation through using advanced fuel injection strategies, and the potential to extend low temperature operation through manipulation of fuel characteristics. In addition, recommendations were made for improved combustion chamber geometries that are matched to injection sprays and that minimize wall fuel films. The role of fuel-air mixing, fuel characteristics, fuel spray/wall impingement and heat transfer on LTC-D engine control were revealed. Methods were proposed for transient engine operation during load and speed changes to extend LTC-D engine operating limits, power density and fuel economy. Low emissions engine design concepts were proposed and evaluated.

  7. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01T23:59:59.000Z

    Golden, CO, USA. Electricity Storage Association, MorganUSA Figure 7. Optimal schedule for meeting the electricityUSA Figure 4. CA nursing home January and July weekday electricity

  8. Modeling, Optimization and Testing for Analog/Mixed-Signal Circuits in Deeply Scaled CMOS Technologies

    E-Print Network [OSTI]

    Yu, Guo

    2011-02-22T23:59:59.000Z

    the circuits are robust and optimized with consideration of parametric variations. This research presents innovative computer-aided design approaches to address three such problems: (1) large analog/mixed-signal performance modeling under process variations, (2...

  9. Vehicle Technologies Office Merit Review 2014: Powertrain Controls Optimization for Heavy Duty Line Haul Trucks

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about powertrain...

  10. Vehicle Technologies Office Merit Review 2015: Powertrain Controls Optimization for Heavy Duty Line Haul Trucks

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about powertrain...

  11. System modeling, analysis, and optimization methodology for diesel exhaust after-treatment technologies

    E-Print Network [OSTI]

    Graff, Christopher Dominic

    2006-01-01T23:59:59.000Z

    Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing problem for many automotive companies and suppliers. Balancing manufacturing cost, meeting emission performance, ...

  12. NiSource Energy Technologies: Optimizing Combined Heat and Power Systems

    SciTech Connect (OSTI)

    Not Available

    2003-01-01T23:59:59.000Z

    Summarizes NiSource Energy Technologies' work under contract to DOE's Distribution and Interconnection R&D. Includes studying distributed generation interconnection issues and CHP system performance.

  13. Vehicle Technologies Office Merit Review 2015: Predicting Microstructure and Performance for Optimal Cell Fabrication

    Broader source: Energy.gov [DOE]

    Presentation given by Brigham Young University at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about predicting...

  14. Vehicle Technologies Office Merit Review 2014: Optimization of Ion Transport in High Energy Composite Cathodes

    Broader source: Energy.gov [DOE]

    Presentation given by University of California San Diego at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

  15. Vehicle Technologies Office Merit Review 2014: Predicting Microstructure and Performance for Optimal Cell Fabrication

    Broader source: Energy.gov [DOE]

    Presentation given by Brigham Young University at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about predicting...

  16. Optimization Online Digest -- October 2003

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  17. Optimization Online Digest -- December 2004

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  18. Application of organosilicon pre-sic polymer technology to optimize rapid prototyping of ceramic components

    SciTech Connect (OSTI)

    Saha, C.K.; Zank, G. [Dow Corning Corporation, Midland, MI (United States); Ghosh, A. [Philips Display Components Co., Ann Arbor, MI (United States)

    1995-12-01T23:59:59.000Z

    Developments of applications of advanced ceramics e.g., SiC, Si{sub 3}N{sub 4}, CMCs need to be on a faster track than what the current processing technologies can afford. Rapid reduction in time to market of new and complex products can be achieved by using Rapid Prototyping and Manufacturing Technologies (RP&M) e.g., 3D-printing, selective laser sintering, stereolithography etc. These technologies will help advanced ceramics meet the performance challenges at an affordable price with reliable manufacturing technologies. The key variables of the RP&M technologies for ceramics are the nature of the polymer carrier and/or the binder, and the powder. Selection and/or the production of a proper class of polymer carrier/binder, understanding their impact on the processing of ceramics such as polymer-powder interaction, speed of hardening the green body in a controlled manner, ability to retain shape during forming and consolidation, delivering desirable properties at the end, are crucial to develop the low cost, high quality ceramic products. Organosilicon pre-SiC polymer technology route to advanced ceramics is currently being commercialized by Dow Corning. Methods to use this class of polymer as a processing aid in developing potentially better RP&M technologies to make better ceramics have been proposed in this work.

  19. Technology selection and architecture optimization of in-situ resource utilization systems

    E-Print Network [OSTI]

    Chepko, Ariane (Ariane Brooke)

    2009-01-01T23:59:59.000Z

    This paper discusses an approach to exploring the conceptual design space of large-scale, complex electromechanical systems that are technologically immature. A modeling framework that addresses the fluctuating architectural ...

  20. Barriers to the adoption and optimal use of savings and health technologies

    E-Print Network [OSTI]

    Schaner, Simone Gabrielle

    2011-01-01T23:59:59.000Z

    This thesis studies Kenyan households' use of savings accounts and malaria testing and treatment technologies. The first chapter studies whether or not married couples use savings accounts strategically. In the absence of ...

  1. Integrated method to create optimal dynamic strategic plans for corporate technology start-ups

    E-Print Network [OSTI]

    Mikati, Samir Omar

    2009-01-01T23:59:59.000Z

    This thesis presents an innovative method for evaluating and dynamically planning the development of uncertain technology investments. Its crux centers on a paradigm shift in the way managers assess investments, toward an ...

  2. Dr. Marcus Wagner Brandenburg University of Technology, Cottbus; Department of Mathematics, Chair for Optimization

    E-Print Network [OSTI]

    Wagner, Marcus

    : "multiplicative" operation with L 1 ( - , )-functions 4. The Fourier transform and its inverse A) Definition B for Optimization Lecture "Fourier Analysis" (summer term 2003) Lecture "Fourier Analysis" (summer term 2003 they should be studied? 2. Expansion within spaces of individual functions / power series 3. Expansion within

  3. Nanoscale SRAM Variability and Optimization

    E-Print Network [OSTI]

    Toh, Seng Oon

    2011-01-01T23:59:59.000Z

    Dynamic Read Stability 5 Stochastic Optimization of SRAM 5.15.2 Bitcell Optimization . . . . . . . . .5.2.1 GlobalTechnology . . Optimization . . . . . . Read and Write

  4. H2FIRST: A partnership to advance hydrogen fueling station technology driving an optimal consumer experience.

    SciTech Connect (OSTI)

    Moen, Christopher D.; Dedrick, Daniel E.; Pratt, Joseph William; Balfour, Bruce; Noma, Edwin Yoichi; Somerday, Brian P.; San Marchi, Christopher W.; K. Wipke; J. Kurtz; D. Terlip; K. Harrison; S. Sprik

    2014-03-01T23:59:59.000Z

    The US Department of Energy (DOE) Energy Efficiency and Renewable Energy (EERE) Office of Fuel Cell Technologies Office (FCTO) is establishing the Hydrogen Fueling Infrastructure Research and Station Technology (H2FIRST) partnership, led by the National Renewable Energy Laboratory (NREL) and Sandia National Laboratories (SNL). FCTO is establishing this partnership and the associated capabilities in support of H2USA, the public/private partnership launched in 2013. The H2FIRST partnership provides the research and technology acceleration support to enable the widespread deployment of hydrogen infrastructure for the robust fueling of light-duty fuel cell electric vehicles (FCEV). H2FIRST will focus on improving private-sector economics, safety, availability and reliability, and consumer confidence for hydrogen fueling. This whitepaper outlines the goals, scope, activities associated with the H2FIRST partnership.

  5. Framing bioremediation decision making as negotiation: Rationale & guidelineFraming bioremediation decision making as negotiation: Rationale & guidelines

    SciTech Connect (OSTI)

    Bjornstad, David J.; Wolfe, Amy K.

    2004-03-17T23:59:59.000Z

    Framing remediation decision making as negotiation: (1) social choice, not technology choice; (2) prompts decision makers to identify interested and affected parties, anticipate objections, effectively address and ameliorate objections, and avoid unacceptable decisions.

  6. Optimization Online - Nonsmooth Optimization via BFGS

    E-Print Network [OSTI]

    Adrian S. Lewis

    2008-12-14T23:59:59.000Z

    Dec 14, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  7. Optimization Online - Optimal steepest descent algorithms for ...

    E-Print Network [OSTI]

    Cl vis Caesar Gonzaga

    2008-08-07T23:59:59.000Z

    Aug 7, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  8. Optimization Online - Newton's Method for Multiobjective Optimization

    E-Print Network [OSTI]

    Joerg Fliege

    2008-03-01T23:59:59.000Z

    Mar 1, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  9. Optimization Online - A Robust Optimization Framework for ...

    E-Print Network [OSTI]

    Melvyn Sim

    2006-02-08T23:59:59.000Z

    Feb 8, 2006 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  10. Optimization Online - Towards nonsymmetric conic optimization

    E-Print Network [OSTI]

    Yurii Nesterov

    2006-03-31T23:59:59.000Z

    Mar 31, 2006 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  11. 15.053 Optimization Methods in Management Science, Spring 2007

    E-Print Network [OSTI]

    Mamani, Hamed

    15.053 introduces students to the theory, algorithms, and applications of optimization. Optimization methodologies include linear programming, network optimization, integer programming, decision trees, and dynamic programming. ...

  12. anguilla optimizing production: Topics by E-print Network

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

    of optimal planning and control of timber harvesting activ- ities with mathematical optimization to select the optimal decision for the execution of any given phase. The models...

  13. Optimal synthesis of p-xylene separation processes based on crystallization technology

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    that arises in hybrid designs where the first step is commonly performed by adsorption. A novel superstructure) adsorption, or (3) a hybrid crystallization/adsorption process.1 Distillation is not a competitive technology) resulting in columns with high reflux ratios and a large number of trays. Table 1 Adsorption

  14. Optimal Deployment Plan of Emission Reduction Technologies for TxDOT's Construction Equipment 

    E-Print Network [OSTI]

    Bari, Muhammad Ehsanul

    2010-10-12T23:59:59.000Z

    ................................................ 13 Emission Reduction Options .......................................................... 15 Exhaust Gas Aftertreatment Technologies for Emissions Reductions... Page Figure 15 Total NOx Reduction at the First Stage at Different Budget Amounts (Case 2A) ........................................................................... 66 Figure 16 Total NOx Reduction at the First and Second Stage...

  15. Optimal Deployment Plan of Emission Reduction Technologies for TxDOT's Construction Equipment

    E-Print Network [OSTI]

    Bari, Muhammad Ehsanul

    2010-10-12T23:59:59.000Z

    to trees, crops, plants, lakes, and animals. Therefore, air pollution is indeed a big concern for the environment (EPA 2008a). Impacts of Emissions Air pollution has significant health, environmental, and economic impacts. Inhaling polluted air... ............................................. 22 Fuel Technologies for Emissions Reductions ......................... 23 Low-Sulfur Diesel (LSD) and Ultra Low Sulfur Diesel (ULSD) ............................................................................. 23 Natural...

  16. Optimize Parallel Pumping Systems: Industrial Technologies Program (ITP) Pumping Systems Tip Sheet #8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment ofOil'sEnergy8 * October 2006 Optimize Parallel

  17. Application and evaluation of advanced completion optimization technology in the Black Warrior Basin

    SciTech Connect (OSTI)

    Barba, R.E. Jr.; Dein, C.W.; Woodroof, R.A.

    1996-12-31T23:59:59.000Z

    The Black Warrior Basin continues to be an active area for development of coalbed methane in spite of the expiration of the Section 29 tight gas tax credit. The majority of the successful wells have been in areas with relatively high permeability, with mixed results in low permeability areas. A study was initiated in late 1995 to determine if stimulation results could be improved in these areas by implementing specific optimization procedures for each of the coal groups. The optimization process involved extensive prefrac formation evaluation, injection/falloff testing, in-situ stress testing, fracture modeling using a P-3D simulator, perforating small intervals with 45 degree phased to minimize multiple fractures and tortuosity, intense quality control onsite prior to and during the jobs, estimation of spurt loss by pumping dual minifracture treatments, fracture height control by limiting rate and viscosity, real-time P-3D modeling of minifrac and main frac treatments to obtain tip screenouts, radioactive tracing of individual fluid and proppant stages with time-lapse monitoring, and postfrac history matching of job results. The real-time fracture modeling involved monitoring bottomhole pressures using a live annulus after comparison to data from a remote telemetry system and a quartz gauge on the initial well. Several practical innovations were developed during the study that will aid in designing the optimum treatment for each well.

  18. Design of Optimal Regulators

    E-Print Network [OSTI]

    Alexander Bolonkin; Robert Sierakowski

    2007-01-19T23:59:59.000Z

    Current research suggests the use of a liner quadratic performance index for optimal control of regulators in various applications. Some examples include correcting the trajectory of rocket and air vehicles, vibration suppression of flexible structures, and airplane stability. In all these cases, the focus is in suppressing/decreasing system deviations rapidly. However, if one compares the Linear Quadratic Regulator (LQR) solution with optimal solutions (minimum time), it is seen that the LQR solution is less than optimal in some cases indeed (3-6) times that obtained using a minimum time solution. Moreover, the LQR solution is sometimes unacceptable in practice due to the fact that values of control extend beyond admissible limits and thus the designer must choose coefficients in the linear quadratic form, which are unknown. The authors suggest methods which allow finding a quasi-optimal LQR solution with bounded control which is closed to the minimum time solution. They also remand the process of the minimum time decision. Keywords: Optimal regulator, minimum time controller, Linear Quadratic Regulator (LQR). -- This paper is declared a work of the U.S. Government and not subject to copyright protection in the USA. The manuscript is accepted as paper AIAA-2003-6638 by 2nd AIAA Unmanned Unlimited Systems, Technologies, and Operations-Aerospace, Land, and See Conference and Workshop - Exhibit, San Diego, California, USA, 15-18 Sep. 2003.

  19. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    SciTech Connect (OSTI)

    Stadler , Michael; Siddiqui, Afzal; Marnay, Chris; ,, Hirohisa Aki; Lai, Judy

    2009-05-26T23:59:59.000Z

    The US Department of Energy has launched the Zero-Net-Energy (ZNE) Commercial Building Initiative (CBI) in order to develop commercial buildings that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge energy-efficient technologies and meet their remaining energy needs through on-site renewable energy generation. We examine how such buildings may be implemented within the context of a cost- or carbon-minimizing microgrid that is able to adopt and operate various technologies, such as photovoltaic (PV) on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive / demand-response technologies. We use a mixed-integer linear program (MILP) that has a multi-criteria objective function: the minimization of a weighted average of the building's annual energy costs and carbon / CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the CBI. Using a nursing home in northern California and New York with existing tariff rates and technology data, we find that a ZNE building requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve ZNE. For comparison, we analyze a nursing home facility in New York to examine the effects of a flatter tariff structure and different load profiles. It has trouble reaching ZNE status and its load reductions as well as efficiency measures need to be more effective than those in the CA case. Finally, we illustrate that the multi-criteria frontier that considers costs and carbon emissions in the presence of demand response dominates the one without it.

  20. Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    estimate the needed technologies and costs for achieving aexamples due to higher technology costs. To be published inwe find that at current technology costs, the nursing home

  1. Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    these renewable energy and storage technologies would makechiller, energy storage, or solar-based technologies areStorage Technologies,” ACEEE 2008 Summer Study on Energy

  2. Renewable sources of energy and the related technologies are considered clean resources as the optimal use of these resources minimizes the environmental

    E-Print Network [OSTI]

    Kumar, M. Jagadesh

    is not only inexhaustible, but also environmental friendly. Therefore, the solar energy technologies as the optimal use of these resources minimizes the environmental impacts and produces minimum secondary wastes demand for commercial energy has caused serious environmental problems and consequently generated

  3. Modeling, Optimization and Power Efficiency Comparison of High-speed Inter-chip Electrical and Optical Interconnect Architectures in Nanometer CMOS Technologies

    E-Print Network [OSTI]

    Palaniappan, Arun

    2012-02-14T23:59:59.000Z

    for the power optimization and comparison of high-speed electrical and optical links at a given data rate and channel type in 90 nm and 45 nm CMOS technologies. The electrical I/O design framework combines statistical link analysis techniques, which are used...

  4. Design Optimization of Innovative High-Level Waste Pipeline Unplugging Technologies - 13341

    SciTech Connect (OSTI)

    Pribanic, T.; Awwad, A.; Varona, J.; McDaniel, D.; Gokaltun, S.; Crespo, J. [Applied Research Center, Florida International University, 10555 West Flagler Street, Suite 2100, Miami. FL 33174 (United States)] [Applied Research Center, Florida International University, 10555 West Flagler Street, Suite 2100, Miami. FL 33174 (United States)

    2013-07-01T23:59:59.000Z

    Florida International University (FIU) is currently working on the development and optimization of two innovative pipeline unplugging methods: the asynchronous pulsing system (APS) and the peristaltic crawler system (PCS). Experiments were conducted on the APS to determine how air in the pipeline influences the system's performance as well as determine the effectiveness of air mitigation techniques in a pipeline. The results obtained during the experimental phase of the project, including data from pipeline pressure pulse tests along with air bubble compression tests are presented. Single-cycle pulse amplification caused by a fast-acting cylinder piston pump in 21.8, 30.5, and 43.6 m pipelines were evaluated. Experiments were conducted on fully flooded pipelines as well as pipelines that contained various amounts of air to evaluate the system's performance when air is present in the pipeline. Also presented are details of the improvements implemented to the third generation crawler system (PCS). The improvements include the redesign of the rims of the unit to accommodate a camera system that provides visual feedback of the conditions inside the pipeline. Visual feedback allows the crawler to be used as a pipeline unplugging and inspection tool. Tests conducted previously demonstrated a significant reduction of the crawler speed with increasing length of tether. Current improvements include the positioning of a pneumatic valve manifold system that is located in close proximity to the crawler, rendering tether length independent of crawler speed. Additional improvements to increase the crawler's speed were also investigated and presented. Descriptions of the test beds, which were designed to emulate possible scenarios present on the Department of Energy (DOE) pipelines, are presented. Finally, conclusions and recommendations for the systems are provided. (authors)

  5. Explanation of Significant Differences for the Record of Decision for Interim Actions in Zone 1, East Tennessee Technology Park, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Bechtel Jacobs

    2011-02-01T23:59:59.000Z

    Zone 1 is a 1400-acre area outside the fence of the main plant at The East Tennessee Technology Park (ETTP) in Oak Ridge, Tennessee. The Record of Decision for Interim Actions in Zone, ETTP (Zone 1 Interim ROD) (DOE 2002) identifies the remedial actions for contaminated soil, buried waste, and subsurface infrastructure necessary to protect human health and to limit further contamination of groundwater. Since the Zone 1 Interim Record of Decision (ROD) was signed, new information has been obtained that requires the remedy to be modified as follows: (1) Change the end use in Contractor's Spoil Area (CSA) from unrestricted industrial to recreational; (2) Remove Exposure Units (EU5) ZI-50, 51, and 52 from the scope of the Zone I Interim ROD; (3) Change the end use of the duct bank corridor from unrestricted industrial to restricted industrial; and (4) Remove restriction for the disturbance of soils below 10 feet in Exposure Unit (EU) Z1-04. In accordance with 40 Code of Federal Regulations (CFR) 300.435, these scope modifications are a 'significant' change to the Zone 1 Interim ROD. In accordance with CERCLA Sect. 117 (c) and 40 CFR 300.435 (c)(2)(i), such a significant change is documented with an Explanation of Significant Differences (ESD). The purpose of this ESD is to make the changes listed above. This ESD is part of the Administrative Record file, and it, and other information supporting the selected remedy, can be found at the DOE Information Center, 475 Oak Ridge Turnpike, Oak Ridge, Tennessee 37830, from 8:00 a.m. to 5:00 p.m., Monday through Friday. The ORR is located in Roane and Anderson counties, within and adjacent to the corporate city limits of Oak Ridge, Tennessee. ETTP is located in Roane County near the northwest corner of the ORR. ETTP began operation during World War II as part of the Manhattan Project. The original mission of ETTP was to produce enriched uranium for use in atomic weapons. The plant produced enriched uranium from 1945 until 1985. Uranium production was terminated in 1987. ORR was placed on the National Priorities List in 1989, so remediation activities are conducted under CERCLA. The primary contaminants of concern at ETTP follow: (1) In groundwater - volatile organic compounds (VOCs) at multiple locations (trichloroethene is generally the most prevalent compound); (2) In sediment - inorganic elements, radionuclides, and polychlorinated biphenyls; (3) In soil - inorganic elements, radionuclides, semivolatile organic compounds (particularly the polycyclic aromatic hydrocarbons), and VOCs; and (4) In facilities - radionuclides and polychlorinated biphenyls (abandoned facilities also pose a safety and health hazard to workers.) The purposes of the remedial actions selected in the Zone 1 Interim ROD are to allow unrestricted industrial use down to 10 feet and to remediate potential sources of groundwater contamination. Following is a summary of the major components of the Zone 1 Interim ROD remedy: (1) Excavation of the Blair Quarry burial area and associated contaminated soil; (2) Excavation of miscellaneous contaminated soil in the K-895 Cylinder Destruct Facility area and in the Powerhouse Area; (3) Removal of sludge and demolition of the K-710 sludge beds and Imhoff tanks; (4) Implementation of land use controls (LUCs); and (5) Characterization of soil and remediation of areas that exceed remediation levels.

  6. Perceptually-Driven Decision Theory for Interactive Realistic Rendering

    E-Print Network [OSTI]

    Ferwerda, James A.

    Perceptually-Driven Decision Theory for Interactive Realistic Rendering REYNALD DUMONT, FABIO rendering at interactive rates on commodity graphics hardware. The approach uses efficient perceptual metrics within a decision theoretic framework to optimally order rendering operations, pro- ducing images

  7. Vehicle Technologies Office: 2008 Advanced Vehicle Technology...

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

    Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2008 Advanced Vehicle...

  8. OPTIMIZING TECHNOLOGY TO REDUCE MERCURY AND ACID GAS EMISSIONS FROM ELECTRIC POWER PLANTS

    SciTech Connect (OSTI)

    Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon

    2005-10-01T23:59:59.000Z

    Maps showing potential mercury, sulfur, chlorine, and moisture emissions for U.S. coal by county of origin were made from publicly available data (plates 1, 2, 3, and 4). Published equations that predict mercury capture by emission control technologies used at U.S. coal-fired utilities were applied to average coal quality values for 169 U.S. counties. The results were used to create five maps that show the influence of coal origin on mercury emissions from utility units with: (1) hot-side electrostatic precipitator (hESP), (2) cold-side electrostatic precipitator (cESP), (3) hot-side electrostatic precipitator with wet flue gas desulfurization (hESP/FGD), (4) cold-side electrostatic precipitator with wet flue gas desulfurization (cESP/FGD), and (5) spray-dry adsorption with fabric filter (SDA/FF) emission controls (plates 5, 6, 7, 8, and 9). Net (lower) coal heating values were calculated from measured coal Btu values, and estimated coal moisture and hydrogen values; the net heating values were used to derive mercury emission rates on an electric output basis (plate 10). Results indicate that selection of low-mercury coal is a good mercury control option for plants having hESP, cESP, or hESP/FGD emission controls. Chlorine content is more important for plants having cESP/FGD or SDA/FF controls; optimum mercury capture is indicated where chlorine is between 500 and 1000 ppm. Selection of low-sulfur coal should improve mercury capture where carbon in fly ash is used to reduce mercury emissions. Comparison of in-ground coal quality with the quality of commercially mined coal indicates that existing coal mining and coal washing practice results in a 25% reduction of mercury in U.S. coal before it is delivered to the power plant. Further pre-combustion mercury reductions may be possible, especially for coal from Texas, Ohio, parts of Pennsylvania and much of the western U.S.

  9. Optimization Online - Stochastic Programming Submissions - 2008

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  10. Optimization Online - Stochastic Programming Submissions - 2009

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  11. Optimization Online - Stochastic Programming Submissions - 2006

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  12. Optimization Online - Stochastic Programming Submissions - 2001

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  13. Optimization Online - Stochastic Programming Submissions - 2007

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  14. Optimization Online - Stochastic Programming Submissions - 2003

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  15. Optimization Online - Stochastic Programming Submissions - 2002

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  16. Optimization Online - Stochastic Programming Submissions - 2004

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  17. Optimization Online - Stochastic Programming Submissions - 2005

    E-Print Network [OSTI]

    Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  18. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology A

  19. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology

  20. Goal: develop high-level decision-making optimization to predict structural modifications in refining and logistics assets using more rigorous formulations

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Processing Blending Quantitative Methods for Strategic and Investment Planning in the Oil-Refining Industry in refining and logistics assets using more rigorous formulations PETROBRAS Current Tool for Strategic, When to Invest? Only optimize streams transfers (oil and fuels import/export, market supply) + NLP

  1. Systems Biology Group Decision Making

    E-Print Network [OSTI]

    entities (e.g., molecular, cellular, organism, ecological) #12;OHIO STATE T . H . E UNIVERSITY Systems/analysis of perception, attention, choice, learning, optimality,... #12;OHIO STATE T . H . E UNIVERSITY Group decision making, evolution and ecology Current work: Modeling/analysis of coordinated motion, foraging, choice

  2. E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR...

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

    GDi, VCR and Variable Valvetrain E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain 2009 DOE Hydrogen Program and Vehicle Technologies Program...

  3. Adaptive Optimization and Systematic Probing of Infrastructure System Maintenance Policies under Model Uncertainty

    E-Print Network [OSTI]

    Madanat, S M; Park, Sejung; Kuhn, K D

    2006-01-01T23:59:59.000Z

    S. ?2002?. “Optimal maintenance and repair policies inM. I. ?1987?. “Optimal maintenance decisions for pavement?1997?. “Pontis: A system for maintenance optimization and

  4. Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01T23:59:59.000Z

    optimal could be acquired. Battery storage costs are roughlylead/acid battery) and thermal storage capabilities wereis limited by battery size - Heat storage is limited by

  5. Convex Optimization Course Welcome Pack

    E-Print Network [OSTI]

    Hall, Julian

    1 NATCOR Convex Optimization Course 23rd ­ 27th June 2014 Welcome Pack This pack contains. ABSTRACT Convex optimization is the fundamental process of optimal decision-making. Although mathematically restrictive, many practical problems may be modelled directly as convex optimization problems. Convex

  6. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real-world logistics problems, common

  7. Towards Better Approaches To Decision Support in Logistics Problems

    E-Print Network [OSTI]

    Davidson, Ian

    Towards Better Approaches To Decision Support in Logistics Problems Ian Davidson and Ryszard a decision support framework for logistics problems. The research covers methodologies, technologies and software tools. The framework considers typical characteristics of real­world logistics problems, common

  8. Optimization Online - An Active Set Strategy for Solving Optimization ...

    E-Print Network [OSTI]

    Klaus Schittkowski

    2009-02-13T23:59:59.000Z

    Feb 13, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  9. Application of Wireless Sensor Network (WSN) Technologies in Optimal Static Pressure Reset in Variable Air Volume (VAV) System

    E-Print Network [OSTI]

    Zheng, K.; Li, H.; Yang, H.

    2007-01-01T23:59:59.000Z

    Optimization of the static pressure reset is always critical in the pursuit of maximum savings of fan power and thermal energy consumption in a VAV system. This paper theoretically investigated three static pressure reset methods, i.e. VAV terminal...

  10. DECISION MODELS FOR EMERGENCY RESPONSE PLANNING

    E-Print Network [OSTI]

    Wang, Hai

    Under FEMA Grant EMW-2004-GR-0112 September 28, 2004 Center for Risk and Economic Analysis of Terrorism by the United States Department of Homeland Security through the Center for Risk and Economic Analysis years proved invaluable as a decision-planning tool. Known as the science and technology of decision

  11. Vehicle Technologies Office Merit Review 2014: Design Optimization of Piezoceramic Multilayer Actuators for Heavy Duty Diesel Engine Fuel Injectors

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about design...

  12. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This study explores the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. It employs alpha factor analysis techniques to develop ...

  13. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This report summarizes two interdependent studies which explore the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. They employ ...

  14. An Approach to Plantwide Optimization

    E-Print Network [OSTI]

    Nath, R.; Worsham, B. A.; Libby, D. J.

    AN APPROACH TO PLANTWIDE OPTIMIZATION RAVI NATH, BILL A WORSHAM, DALE J. LIBBY Union Carbide Corporation Houston, NlSTRACT Optimization of individual processing units as well as the energy systems has become common place in the processing... industries (Ref. 1,2). Typically such optimizations are done piecemeal, with heavy reliance on the 'transfer prices' to link the various optimizations. Such optimizations usually lead to decision policies which are inferior. Superior results...

  15. Optimizing Hydronic System Performance in Residential Applications, Ithaca, New York (Fact Sheet), Building America Case Study: Technology Solutions for New and Existing Homes, Building Technologies Office (BTO)

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOfEnergy Online1 MarchOpti-MN ImpactOptimizing

  16. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29T23:59:59.000Z

    Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.

  17. A Stochastic Optimization Case Study using ILOG CPLEX Concert Technology: Dual Sourcing Model for Managing Supply Chain Disruptions

    E-Print Network [OSTI]

    Bjørnstad, Ottar Nordal

    of a company under uncertainty is proposed in this study. Deterministic planning and scheduling models is optimal usage of future resources on the basis of available present information and future scenarios1 increase. As simple as uncertain lead time can affect the production plans which necessitates

  18. North Slope Decision Support for Water Resource Planning and Management

    SciTech Connect (OSTI)

    Schnabel, William; Brumbelow, Kelly

    2013-03-31T23:59:59.000Z

    The objective of this project was to enhance the water resource decision-making process with respect to oil and gas exploration/production activities on Alaska’s North Slope. To this end, a web-based software tool was developed to allow stakeholders to assemble, evaluate, and communicate relevant information between and amongst themselves. The software, termed North Slope Decision Support System (NSDSS), is a visually-referenced database that provides a platform for running complex natural system, planning, and optimization models. The NSDSS design was based upon community input garnered during a series of stakeholder workshops, and the end product software is freely available to all stakeholders via the project website. The tool now resides on servers hosted by the UAF Water and Environmental Research Center, and will remain accessible and free-of-charge for all interested stakeholders. The development of the tool fostered new advances in the area of data evaluation and decision support technologies, and the finished product is envisioned to enhance water resource planning activities on Alaska’s North Slope.

  19. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

    E-Print Network [OSTI]

    Williams, Brian C.

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  20. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005

    E-Print Network [OSTI]

    Williams, Brian

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  1. Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings

    SciTech Connect (OSTI)

    Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; Aki, Hirohisa; Lai, Judy

    2009-08-10T23:59:59.000Z

    The U.S. Department of Energy has launched the commercial building initiative (CBI) in pursuit of its research goal of achieving zero-net-energy commercial buildings (ZNEB), i.e. ones that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge, energy-efficiency technologies and meet their remaining energy needs through on-site renewable energy generation. This paper examines how such buildings may be implemented within the context of a cost- or CO2-minimizing microgrid that is able to adopt and operate various technologies: photovoltaic modules (PV) and other on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive/demand-response technologies. A mixed-integer linear program (MILP) that has a multi-criteria objective function is used. The objective is minimization of a weighted average of the building's annual energy costs and CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the ZNEB objective. Using a commercial test site in northernCalifornia with existing tariff rates and technology data, we find that a ZNEB requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power (CHP) equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve a ZNEB. Additionally, the ZNEB approach does not necessary lead to zero-carbon (ZC) buildings as is frequently argued. We also show a multi-objective frontier for the CA example, whichallows us to estimate the needed technologies and costs for achieving a ZC building or microgrid.

  2. Optimal Delayed Decisions in Decoding of Predictively

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    reconstruction? Feasible if adequate correlation exists between coded data units Predictive coding systems 1, ,n n nx x x- + 1n n nx x z -= + ( )Zp z i.i.d innovations with zero-mean pdf nz nx 1 z-rate and innovation densities No gains by increasing look-ahead beyond process order #12;Signal Compression Lab, ECE

  3. Organizational and Individual Decision Making Organizational and Individual Decision Making

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Organizational and Individual Decision Making Organizational and Individual Decision Making Citation: Kathleen M. Carley & Dean Behrens, 1999, "Organizational and Individual Decision Making." Ch. 18, Inc. #12;Organizational and Individual Decision Making Organizational and Individual Decision Making

  4. Optimization of Advanced Diesel Engine Combustion Strategies...

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

    Optimization of Advanced Diesel Engine Combustion Strategies Optimization of Advanced Diesel Engine Combustion Strategies 2010 DOE Vehicle Technologies and Hydrogen Programs Annual...

  5. Optimization Online - Risk Analysis 101 --- Robust-Optimization: the ...

    E-Print Network [OSTI]

    Moshe Sniedovich

    2012-07-04T23:59:59.000Z

    Jul 4, 2012 ... Risk Analysis 101 --- Robust-Optimization: the elephant in the robust-satisficing room ... Abstract: In 2001, info-gap decision theory re-invented the then ... by info-

  6. Optimization Online - Robust and Data-Driven Optimization: Modern ...

    E-Print Network [OSTI]

    Dimitris Bertsimas

    2006-05-12T23:59:59.000Z

    May 12, 2006 ... Robust and Data-Driven Optimization: Modern Decision-Making Under ... The purpose of this tutorial is to present a mathematical framework that is well-suited to the limited information ... Visitors, Authors, More about us, Links.

  7. DOE Project: Optimization of Advanced Diesel Engine Combustion Strategies "University Research in Advanced Combustion and Emissions Control" Office of FreedomCAR and Vehicle Technologies Program

    SciTech Connect (OSTI)

    Reitz, Rolf; Foster, D.; Ghandhi, J.; Rothamer, D.; Rutland, C.; Sanders, S.; Trujillo, M.

    2012-10-26T23:59:59.000Z

    The goal of the present technology development was to increase the efficiency of internal combustion engines while minimizing the energy penalty of meeting emissions regulations. This objective was achieved through experimentation and the development of advanced combustion regimes and emission control strategies, coupled with advanced petroleum and non-petroleum fuel formulations. To meet the goals of the project, it was necessary to improve the efficiency of expansion work extraction, and this required optimized combustion phasing and minimized in-cylinder heat transfer losses. To minimize fuel used for diesel particulate filter (DPF) regeneration, soot emissions were also minimized. Because of the complex nature of optimizing production engines for real-world variations in fuels, temperatures and pressures, the project applied high-fidelity computing and high-resolution engine experiments synergistically to create and apply advanced tools (i.e., fast, accurate predictive models) developed for low-emission, fuel-efficient engine designs. The companion experiments were conducted using representative single- and multi-cylinder automotive and truck diesel engines.

  8. REopt: A Platform for Energy System Integration and Optimization: Preprint

    SciTech Connect (OSTI)

    Simpkins, T.; Cutler, D.; Anderson, K.; Olis, D.; Elgqvist, E.; Callahan, M.; Walker, A.

    2014-08-01T23:59:59.000Z

    REopt is NREL's energy planning platform offering concurrent, multi-technology integration and optimization capabilities to help clients meet their cost savings and energy performance goals. The REopt platform provides techno-economic decision-support analysis throughout the energy planning process, from agency-level screening and macro planning to project development to energy asset operation. REopt employs an integrated approach to optimizing a site?s energy costs by considering electricity and thermal consumption, resource availability, complex tariff structures including time-of-use, demand and sell-back rates, incentives, net-metering, and interconnection limits. Formulated as a mixed integer linear program, REopt recommends an optimally-sized mix of conventional and renewable energy, and energy storage technologies; estimates the net present value associated with implementing those technologies; and provides the cost-optimal dispatch strategy for operating them at maximum economic efficiency. The REopt platform can be customized to address a variety of energy optimization scenarios including policy, microgrid, and operational energy applications. This paper presents the REopt techno-economic model along with two examples of recently completed analysis projects.

  9. Optimization Online - An Analysis of Weighted Least Squares ...

    E-Print Network [OSTI]

    Tomonari Kitahara

    2008-05-29T23:59:59.000Z

    May 29, 2008 ... ... of Decision Science and Technology, Tokyo Institute of Technology, 2-12-1, Ookayama, ... the Mathematical Programming Society and by

  10. Optimization Online - Semidefinite optimization, a spectral approach

    E-Print Network [OSTI]

    M.A. van Bossum

    2002-09-30T23:59:59.000Z

    Sep 30, 2002 ... Mathematical optimization involves the construction of methods to solve ... Examples come from electrical design, engineering, control theory, ... at the beginning of the computer technology, it has become more famous.

  11. Stochastic methods for improving secondary production decisions under compositional uncertainty

    E-Print Network [OSTI]

    de Weck, Olivier L.

    secondary recovery industry. Secondary recovery forestalls depletion of non-renewable resources and avoidsStochastic methods for improving secondary production decisions under compositional uncertainty and Optimization Program #12;2 #12;3 Stochastic methods for improving secondary production decisions under

  12. Technology Advertising Contact Information

    E-Print Network [OSTI]

    Peters, Richard

    Overview #12;Technology Advertising Contact Information Alex Sheath 8596 4063 asheath Overview Our online Technology section is geared towards an IT professional environment, reaching a range of technology enthusiasts from every day gadget consumers to business decision makers where enterprise solutions

  13. Exact duality for optimization over symmetric cones

    E-Print Network [OSTI]

    Imre P lik

    2007-08-17T23:59:59.000Z

    Aug 17, 2007 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  14. Robust Portfolio Optimization with Derivative Insurance Guarantees

    E-Print Network [OSTI]

    Steve Zymler

    2009-01-13T23:59:59.000Z

    Jan 13, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  15. Optimization Online - A Multistage Stochastic Programming ...

    E-Print Network [OSTI]

    Natashia Boland

    2008-10-24T23:59:59.000Z

    Oct 24, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  16. Chance-constrained optimization via randomization: feasibility

    E-Print Network [OSTI]

    M.C. Campi

    2008-09-22T23:59:59.000Z

    Sep 22, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  17. Optimization Online Digest -- November 2008

    E-Print Network [OSTI]

    ... Portfolio using a Coherent Risk Measure: Application to Oil and Energy Industries ... Consideration of Gas Supply Contracts with Take-or-pay Clauses in the ... Sensitivity analysis of the optimal solutions to Huff-type competitive location and ... Reformulations and Algorithms for the Optimization of Switching Decisions in ...

  18. Optimization Online Digest -- January 2006

    E-Print Network [OSTI]

    Two Families of Facets for the Two-Dimensional Mixed Integer Infinite Group Problem Santanu Dey ... Society and by the Optimization Technology Center.

  19. Greenhouse Gas Return on Investment: A New Metric for Energy Technology

    E-Print Network [OSTI]

    Reich-Weiser, Corinne; Dornfeld, David; Horne, Steve

    2008-01-01T23:59:59.000Z

    to decision making beyond energy technology. ACKNOWLEDGMENTSA New Metric for Energy Technology Corinne Reich-Weiser ,INTRODUCTION Alternative energy technologies such as solar,

  20. CropIrri: A DECISION SUPPORT SYSTEM FOR CROP IRRIGATION MANAGEMENT

    E-Print Network [OSTI]

    CropIrri: A DECISION SUPPORT SYSTEM FOR CROP IRRIGATION MANAGEMENT Yi Zhang1 , Liping Feng1,* 1: A field crop irrigation management decision-making system (CropIrri) was developed based on the soil water of optimal irrigation methods and irrigation decision support system have obtained important achievements (J

  1. An Improved Stochastic Optimization Model for Water Supply ...

    E-Print Network [OSTI]

    2014-03-07T23:59:59.000Z

    Hydrology 387(1-2):141–150. Ikonen E, Selek I, Bene J (2012) Optimization of pumping schedules using the genealogical decision tree approach. Chemical.

  2. Fuzzy logic controller optimization

    DOE Patents [OSTI]

    Sepe, Jr., Raymond B; Miller, John Michael

    2004-03-23T23:59:59.000Z

    A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.

  3. Optimization Modeling Languages Emmanuel Fragni`ere

    E-Print Network [OSTI]

    Gondzio, Jacek

    Optimization Modeling Languages Emmanuel Fragni`ere HEC, Department of Management, University, 1999 1 #12;Abstract The access to advanced optimization software needs more and more sophisticated modeling tools. Optimization modeling languages are tools that facilitate the decision making process based

  4. Agent Based Models for Enterprise Wide Optimization and Decision SupportOptimization and Decision Support

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Chain Enterprise · Refinery (re)scheduling · Disruption management Planning / Scheduling Supply Chain sourcing Primary production Secondary production Warehouses Retailers Customers 11 #12;Refinery Supply Chain Logistics Provider C Refinery BLogistics Naphtha Brent CrudeProvider A Ethylene Refinery

  5. awaits ec decision: Topics by E-print Network

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

    Engineering Indian Institute of Technology Krishnapura, Nagendra 4 ME-SE-EC 710 Syllabus Page 1 of 7 ME-SE-EC 710 SYLLABUS Materials Science Websites Summary: Decisions....

  6. 15.094 Systems Optimization: Models and Computation, Spring 2002

    E-Print Network [OSTI]

    Freund, Robert Michael

    A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. ...

  7. Decision insight into stakeholder conflict for ERN.

    SciTech Connect (OSTI)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

    2012-02-01T23:59:59.000Z

    Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  8. Vehicle Technologies Office: Annual Progress Reports | Department...

    Energy Savers [EERE]

    Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program DOE Vehicle Technologies Office Annual Merit Review Energy Storage Research...

  9. Decision making in a non-profit engineering environment

    SciTech Connect (OSTI)

    Christensen, D.C.

    1997-06-01T23:59:59.000Z

    A conceptual management framework is developed and applied in a science and engineering organization located within a non-profit, public institution. The goal of this research is to select a set of projects whose combined contributions to the organization`s strategic interests satisfy sponsor desires and can be completed within existing time and resource constraints. The development of the rationale for project selection and implementation within the plutonium facility at Los Alamos National Laboratory is studied. This includes the integration of prioritization decision tools, optimization techniques, and advanced planning and scheduling tools. The Nuclear Materials Technology Division is the custodian of the plutonium facility, whose mission is to develop, demonstrate, and deploy technologies necessary to address the nation`s and world`s plutonium problems. This includes management of nuclear weapon stockpile components, stabilization of plutonium residues, clean-up of contaminated soils and facilities, support to non-proliferation and arms control initiatives, and the eventual disposition of surplus plutonium. In this study, projects are evaluated against selection criteria deemed to be of critical program importance. The Analytic Hierarchy Process is used to evaluate and rank the importance of the suite of candidate projects. Because individual projects may be of interest to a number of business sectors and sponsors, the approach must be capable of using funding sources in an integrated manner in order to meet overall facility and program strategies. Finally, project planning and scheduling tools are integrated into the decision network in order to ensure that appropriate resource leveling occurs and that the actual project selection takes into account the temporal relationships among available resources.

  10. Implementing Motor Decision Plans

    E-Print Network [OSTI]

    Elliott, R. N.

    The first step to reducing energy costs and increasing reliability in motors is to establish a motor plan. A motor plan allows decisions to be made in advance of motor failure, and increases the options available. By contrast, most motor decisions...

  11. Optimization Online

    E-Print Network [OSTI]

    Optimization Online is a repository of e-prints about optimization and related topics. Submissions to Optimization Online are moderated by a team of volunteer

  12. Utilizing optimization in municipal stormwater management

    E-Print Network [OSTI]

    Dorman, Stephen Paul

    1995-01-01T23:59:59.000Z

    planning methodology which utilizes an optimization routine as its primary decision making tool. A thorough literature review presents the historical and current trends in the general area of stormwater quality. A detailed explanation and analysis...

  13. Online optimization in routing and scheduling

    E-Print Network [OSTI]

    Wagner, Michael R. (Michael Robert), 1978-

    2006-01-01T23:59:59.000Z

    In this thesis we study online optimization problems in routing and scheduling. An online problem is one where the problem instance is revealed incrementally. Decisions can (and sometimes must) be made before all information ...

  14. Near-optimal operation by self-optimizing control: From process con-trol to marathon running and business systems

    E-Print Network [OSTI]

    Skogestad, Sigurd

    range of systems. The idea of self-optimizing control is explained in more detail in the next sectionNear-optimal operation by self-optimizing control: From process con- trol to marathon running to implement optimal decisions in an uncertain world. A study of how this is done in real systems - from

  15. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01T23:59:59.000Z

    This thesis explores the impact of individual decision making on the functioning of firms and markets. The first chapter examines how deviations from strict rationality by individuals impact the market for consumer goods. ...

  16. 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?...

  17. UNDERSTANDING HOME RENOVATION DECISIONS

    E-Print Network [OSTI]

    Watson, Andrew

    UNDERSTANDING HOME RENOVATION DECISIONS - A Research Project - Background to Our Research Energy to renovate their homes. We're interested in energy efficiency, but in all other efficient renova/ons can lower energy bills, improve comfort by reducing dra

  18. Design Optimization of Structural Health Monitoring Systems

    SciTech Connect (OSTI)

    Flynn, Eric B. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-03-06T23:59:59.000Z

    Sensor networks drive decisions. Approach: Design networks to minimize the expected total cost (in a statistical sense, i.e. Bayes Risk) associated with making wrong decisions and with installing maintaining and running the sensor network itself. Search for optimal solutions using Monte-Carlo-Sampling-Adapted Genetic Algorithm. Applications include structural health monitoring and surveillance.

  19. Configuration and technology implications of potential nuclear hydrogen system applications.

    SciTech Connect (OSTI)

    Conzelmann, G.; Petri, M.; Forsberg, C.; Yildiz, B.; ORNL

    2005-11-05T23:59:59.000Z

    Nuclear technologies have important distinctions and potential advantages for large-scale generation of hydrogen for U.S. energy services. Nuclear hydrogen requires no imported fossil fuels, results in lower greenhouse-gas emissions and other pollutants, lends itself to large-scale production, and is sustainable. The technical uncertainties in nuclear hydrogen processes and the reactor technologies needed to enable these processes, as well waste, proliferation, and economic issues must be successfully addressed before nuclear energy can be a major contributor to the nation's energy future. In order to address technical issues in the time frame needed to provide optimized hydrogen production choices, the Nuclear Hydrogen Initiative (NHI) must examine a wide range of new technologies, make the best use of research funding, and make early decisions on which technology options to pursue. For these reasons, it is important that system integration studies be performed to help guide the decisions made in the NHI. In framing the scope of system integration analyses, there is a hierarchy of questions that should be addressed: What hydrogen markets will exist and what are their characteristics? Which markets are most consistent with nuclear hydrogen? What nuclear power and production process configurations are optimal? What requirements are placed on the nuclear hydrogen system? The intent of the NHI system studies is to gain a better understanding of nuclear power's potential role in a hydrogen economy and what hydrogen production technologies show the most promise. This work couples with system studies sponsored by DOE-EE and other agencies that provide a basis for evaluating and selecting future hydrogen production technologies. This assessment includes identifying commercial hydrogen applications and their requirements, comparing the characteristics of nuclear hydrogen systems to those market requirements, evaluating nuclear hydrogen configuration options within a given market, and identifying the key drivers and thresholds for market viability of nuclear hydrogen options.

  20. A Platform Technology for Optimized Production of Islet-like Spheroids and Other 3D Cell Spheroids for Applications in Drug Discovery and Regenerative Medicine

    E-Print Network [OSTI]

    Ramachandran, Karthik

    2012-05-31T23:59:59.000Z

    diffusion is the primary mode of nutrient transport. Diabetic rats that received Kanslet transplants regained insulin independence similar to those receiving native islet transplants. For the high-throughput drug screening, size-optimized Kanslets were...

  1. Decision Analytic Modelling in the Economic Evaluation of

    E-Print Network [OSTI]

    Oakley, Jeremy

    Decision Analytic Modelling in the Economic Evaluation of Health Technologies A Consensus Statement when used for the economic evaluation of health technologies; there is limited guidanceforgoodmodelling developed in the context of broader healthcare and economic evaluations, for which ex- plicit guidelines

  2. Pricing postselection: the cost of indecision in decision theory

    E-Print Network [OSTI]

    Combes, Joshua

    2015-01-01T23:59:59.000Z

    Postselection is the process of discarding outcomes from statistical trials that are not the event one desires. Postselection can be useful in many applications where the cost of getting the wrong event is implicitly high. However, unless this cost is specified exactly, one might conclude that discarding all data is optimal. Here we analyze the optimal decision rules and quantum measurements in a decision theoretic setting where a pre-specified cost is assigned to discarding data. We also relate our formulation to previous approaches which focus on minimizing the probability of indecision.

  3. Pricing postselection: the cost of indecision in decision theory

    E-Print Network [OSTI]

    Joshua Combes; Christopher Ferrie

    2015-04-14T23:59:59.000Z

    Postselection is the process of discarding outcomes from statistical trials that are not the event one desires. Postselection can be useful in many applications where the cost of getting the wrong event is implicitly high. However, unless this cost is specified exactly, one might conclude that discarding all data is optimal. Here we analyze the optimal decision rules and quantum measurements in a decision theoretic setting where a pre-specified cost is assigned to discarding data. We also relate our formulation to previous approaches which focus on minimizing the probability of indecision.

  4. Optimization Journals, Sites, Societies

    E-Print Network [OSTI]

    Optimization Online Links. Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical ...

  5. Optimize Deployment of Renewable Energy Technologies for Government Agencies, Industrial Facilities, and Military Installations: NREL Offers Proven Tools and Resources to Reduce Energy Use and Improve Efficiency (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2010-01-01T23:59:59.000Z

    The National Renewable Energy Lab provides expertise, facilities, and technical assistance to campuses, facilities, and government agencies to apply renewable energy and energy efficiency technologies.

  6. Optimizing Spectral Color Reproduction in Multiprimary Digital David Long, Mark D. Fairchild; Munsell Color Science Laboratory, Rochester Institute of Technology; Rochester, NY

    E-Print Network [OSTI]

    Fairchild, Mark D.

    . Fairchild; Munsell Color Science Laboratory, Rochester Institute of Technology; Rochester, NY Abstract of constructing an abridged spectral reproduction display environment from P3 digital cinema-based displays

  7. CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY

    SciTech Connect (OSTI)

    BERGMAN, T. B.; STEFANSKI, L. D.; SEELEY, P. N.; ZINSLI, L. C.; CUSACK, L. J.

    2012-09-19T23:59:59.000Z

    THE CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY WAS CONDUCTED TO DEVELOP AN OPTIMAL SEQUENCE OF REMEDIATION ACTIVITIES IMPLEMENTING THE CERCLA DECISION ON THE CENTRAL PLATEAU. THE STUDY DEFINES A SEQUENCE OF ACTIVITIES THAT RESULT IN AN EFFECTIVE USE OF RESOURCES FROM A STRATEGIC PERSPECTIVE WHEN CONSIDERING EQUIPMENT PROCUREMENT AND STAGING, WORKFORCE MOBILIZATION/DEMOBILIZATION, WORKFORCE LEVELING, WORKFORCE SKILL-MIX, AND OTHER REMEDIATION/DISPOSITION PROJECT EXECUTION PARAMETERS.

  8. Design with Uncertain Technology Evolution 

    E-Print Network [OSTI]

    Arendt, Jonathan Lee

    2012-10-19T23:59:59.000Z

    Design is an uncertain human activity involving decisions with uncertain outcomes. Sources of uncertainty in product design include uncertainty in modeling methods, market preferences, and performance levels of subsystem technologies, among many...

  9. Optimization Online - Separation of Mixing Inequalities in a Mixed ...

    E-Print Network [OSTI]

    Philipp Christophel

    2008-06-10T23:59:59.000Z

    Jun 10, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  10. Optimization Online - A Fast Moving Horizon Estimation Algorithm ...

    E-Print Network [OSTI]

    Victor M Zavala

    2009-01-28T23:59:59.000Z

    Jan 28, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  11. Optimization Online - Discrete gradient method: a derivative free ...

    E-Print Network [OSTI]

    Adil Bagirov

    2006-05-01T23:59:59.000Z

    May 1, 2006 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  12. Optimization Online - On the Copositive Representation of Binary ...

    E-Print Network [OSTI]

    Samuel Burer

    2006-10-23T23:59:59.000Z

    Oct 23, 2006 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  13. Optimization Online - A Minimax Theorem with Applications to ...

    E-Print Network [OSTI]

    Seung-Jean Kim

    2007-11-13T23:59:59.000Z

    Nov 13, 2007 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  14. Optimization Online - VSDP: Verified SemiDefinite Programming

    E-Print Network [OSTI]

    Christian Jansson

    2006-12-19T23:59:59.000Z

    Dec 19, 2006 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  15. Optimization Online - Group sparsity via linear-time projection

    E-Print Network [OSTI]

    Ewout van den Berg

    2008-07-31T23:59:59.000Z

    Jul 31, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  16. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07T23:59:59.000Z

    The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains where optimization manifests itself, including physical, biological, social, and technological networked systems.

  17. Adaptive Peircean decision aid project summary assessments.

    SciTech Connect (OSTI)

    Senglaub, Michael E.

    2007-01-01T23:59:59.000Z

    This efforts objective was to identify and hybridize a suite of technologies enabling the development of predictive decision aids for use principally in combat environments but also in any complex information terrain. The technologies required included formal concept analysis for knowledge representation and information operations, Peircean reasoning to support hypothesis generation, Mill's's canons to begin defining information operators that support the first two technologies and co-evolutionary game theory to provide the environment/domain to assess predictions from the reasoning engines. The intended application domain is the IED problem because of its inherent evolutionary nature. While a fully functioning integrated algorithm was not achieved the hybridization and demonstration of the technologies was accomplished and demonstration of utility provided for a number of ancillary queries.

  18. advanced technology solar: Topics by E-print Network

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

    UMore Park Overview 4 Solar Optimization 7 Passive Solar 8 Solar Technologies 10 District Solar Energy 13 Optimal Solar Layout 14 Payback & State Incentives 15 UMore Park...

  19. Vehicle Technologies Office Merit Review 2015: Gate Driver Optimizatio...

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

    Gate Driver Optimization for WBG Applications Vehicle Technologies Office Merit Review 2015: Gate Driver Optimization for WBG Applications Presentation given by Oak Ridge National...

  20. Revisiting the age of enlightenment from a collective decision making systems perspective

    SciTech Connect (OSTI)

    Rodriguez, Marko A [Los Alamos National Laboratory; Watkins, Jennifer H [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    The ideals of the eighteenth century's Age of Enlightenment are the foundation of modern democracies. The era was characterized by thinkers who promoted progressive social reforms that opposed the long-established aristocracies and monarchies of the time. Prominent examples of such reforms include the establishment of inalienable human rights, self-governing republics, and market capitalism. Twenty-first century democratic nations can benefit from revisiting the systems developed during the Enlightenment and reframing them within the techno-social context of the Information Age. This article explores the application of social algorithms that make use of Thomas Paine's (English: 1737--1809) representatives, Adam Smith's (Scottish: 1723--1790) self-interested actors, and Marquis de Condorcet's (French: 1743--1794) optimal decision making groups. It is posited that technology-enabled social algorithms can better realize the ideals articulated during the Enlightenment.

  1. DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION

    E-Print Network [OSTI]

    Eichhorn, Andreas

    DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION VIA POLYHEDRAL RISK FUNCTIONALS the dynamic decision structure appropriately. In energy risk management, which is typically carried out ex, for integrating risk management into a stochastic optimization framework, risk has to be quantified in a definite

  2. Optimization Online - All Areas Submissions - November 2008

    E-Print Network [OSTI]

    Consideration of Gas Supply Contracts with Take-or-pay Clauses in the Brazilian ... using a Coherent Risk Measure: Application to Oil and Energy Industries ... Reformulations and Algorithms for the Optimization of Switching Decisions in ... Sensitivity analysis of the optimal solutions to Huff-type competitive location and ...

  3. Optimization Online - Applications — OR and Management ...

    E-Print Network [OSTI]

    Applications — OR and Management Sciences Submissions - 2009. January 2009. A parallel ... Modeling the Mobile Oil Recovery Problem as a Multiobjective Vehicle Routing Problem ... the Optimization Technology Center. Mathematical ...

  4. Renewable Energy Optimization (REopt) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-06-01T23:59:59.000Z

    REopt is an energy planning platform offering concurrent, multiple technology integration and optimization capabilities to help clients meet their cost savings and energy performance goals.

  5. Optimization Online - All Areas Submissions - 2006

    E-Print Network [OSTI]

    Two Families of Facets for the Two-Dimensional Mixed Integer Infinite Group Problem Santanu Dey ... Society and by the Optimization Technology Center.

  6. Optimization Online - Integer Programming Submissions - 2006

    E-Print Network [OSTI]

    Two Families of Facets for the Two-Dimensional Mixed Integer Infinite Group Problem Santanu Dey ... Society and by the Optimization Technology Center.

  7. Industrial cogeneration optimization program. Volume II. Appendix A. Conceptual designs and preliminary equipment specifications. Appendix B. Characterization of cogeneration systems (near-term technology). Appendix C. Optimized cogeneration systems

    SciTech Connect (OSTI)

    Not Available

    1980-01-01T23:59:59.000Z

    This appendix to a report which evaluates the technical, economic, and institutional aspects of industrial cogeneration for conserving energy in the food, chemical, textile, paper, and petroleum industries contains data, descriptions, and diagrams on conceptual designs and preliminary equipment specifications for cogeneration facilities; characterization of cogeneration systems in terms of fuel utilization, performance, air pollution control, thermal energy storage systems, and capital equipment costs; and optimized cogeneration systems for specific industrial plants. (LCL)

  8. A Program for Optimizing SRF Linac Costs

    SciTech Connect (OSTI)

    Powers, Thomas J. [JLAB

    2013-04-01T23:59:59.000Z

    Every well-designed machine goes through the process of cost optimization several times during its design, production and operation. The initial optimizations are done during the early proposal stage of the project when none of the systems have been engineered. When a superconducting radio frequency (SRF) linac is implemented as part of the design, it is often a difficult decision as to the frequency and gradient that will be used. Frequently, such choices are made based on existing designs, which invariably necessitate moderate to substantial modifications so that they can be used in the new accelerator. Thus the fallacy of using existing designs is that they will frequently provide a higher cost machine or a machine with sub-optimal beam physics parameters. This paper describes preliminary results of a new software tool that allows one to vary parameters and understand the effects on the optimized costs of construction plus 10 year operations of an SRF linac, the associated cryogenic facility, and controls, where operations includes the cost of the electrical utilities but not the labor or other costs. It derives from collaborative work done with staff from Accelerator Science and Technology Centre, Daresbury, UK [1] several years ago while they were in the process of developing a conceptual design for the New Light Source project. The initial goal was to convert a spread sheet format to a graphical interface to allow the ability to sweep different parameter sets. The tools also allow one to compare the cost of the different facets of the machine design and operations so as to better understand the tradeoffs.

  9. End-of-life LCA allocation methods: open loop recycling impacts on robustness of material selection decisions

    E-Print Network [OSTI]

    Nicholson, Anna L.

    Materials selection decisions exhibit great influence on the environmental performance of firms through their impact on processing technology, product form, and supply chain configuration. Consequently, materials dictate ...

  10. Direct current, closed furnace silicon technology

    SciTech Connect (OSTI)

    Dosaj, V.D. [Dow Corning Corp., Midland, MI (United States); May, J.B. [Dow Corning Corp., Freeland, MI (United States); Arvidson, A.N. [Meadow Materials, Manitoba (Canada)

    1994-05-01T23:59:59.000Z

    The dc closed furnace technology for smelting silicon offers technical operating challenges, as well as, economic opportunities for off-gas recovery, reduced electrode consumption, reduced reductant oxidation losses, reduced energy consumption, and improved silicon recovery. The 10 mva dc closed furnace is located in East Selkirk, Manitoba. Construction of this pilot plant was started in September 1990. Following successful commissioning of the furnace in 1992, a number of smelting tests have been conducted aimed at optimization of the furnace operation and the raw material mix. The operation of a closed furnace is significantly different from an open furnace operation. The major difference being in the mechanical movement of the mix, off-gas recovery, and inability to observe the process. These differences made data collection and analysis critical in making operating decisions. This closed furnace was operated by computer control (state of the art in the smelling industry).

  11. Decision Making Based on a Nonparametric Shape-Preserving ...

    E-Print Network [OSTI]

    2013-11-25T23:59:59.000Z

    Nov 25, 2013 ... (1) provides a nonparametric approach to the sensitivity analysis of a ... illustrated by a portfolio investment decision problem. ... impact of the perturbation on the optimal value and solutions of the ...... nique Report, Georgia State University, Experimental Economics ... European Journal of Operational Re-.

  12. Universal Scanning and Sequential Decision Making for Multidimensional Data

    E-Print Network [OSTI]

    Weissman, Tsachy

    Universal Scanning and Sequential Decision Making for Multidimensional Data Asaf Cohen Department in scanning of multidimensional data arrays, such as universal scanning and prediction ("scandiction, it is natural to ask what is the optimal method to scan and predict a given image, what is the resulting minimum

  13. Battery-Aware Power Management Based on Markovian Decision Processes

    E-Print Network [OSTI]

    Pedram, Massoud

    1 Battery-Aware Power Management Based on Markovian Decision Processes Peng Rong and Massoud Pedram under latency and loss rate constraints. First, a detailed stochastic model of a power-managed, battery recovery. Next, the battery-aware dynamic power management problem is formulated as a policy optimization

  14. Decentralized Decision-making and Protocol Design for Recycled ...

    E-Print Network [OSTI]

    ihong

    2006-07-24T23:59:59.000Z

    However, in practice the. Cournot-typed ... follower's optimal response to its decision under the Stackelberg model framework. Technically, this ... Once the historical data of demand and prices are available, the quantity and price relationship ..... returning the best sales profit for all tight and non-tight price scenarios. We let *.

  15. IEEE COMMUNICATIONS LETTERS, TO APPEAR 1 Soft-Decision COVQ for Turbo-Coded AWGN

    E-Print Network [OSTI]

    Linder, Tamás

    IEEE COMMUNICATIONS LETTERS, TO APPEAR 1 Soft-Decision COVQ for Turbo-Coded AWGN and Rayleigh-decision channel-optimized vec- tor quantization (COVQ) scheme for Turbo-coded additive white Gaussian noise (AWGN) and Rayleigh fading chan- nels is proposed. The log likelihood ratio (LLR) gener- ated by the Turbo decoder

  16. Program Design Analysis using BEopt Building Energy Optimization Software: Defining a Technology Pathway Leading to New Homes with Zero Peak Cooling Demand; Preprint

    SciTech Connect (OSTI)

    Anderson, R.; Christensen, C.; Horowitz, S.

    2006-08-01T23:59:59.000Z

    An optimization method based on the evaluation of a broad range of different combinations of specific energy efficiency and renewable-energy options is used to determine the least-cost pathway to the development of new homes with zero peak cooling demand. The optimization approach conducts a sequential search of a large number of possible option combinations and uses the most cost-effective alternatives to generate a least-cost curve to achieve home-performance levels ranging from a Title 24-compliant home to a home that uses zero net source energy on an annual basis. By evaluating peak cooling load reductions on the least-cost curve, it is then possible to determine the most cost-effective combination of energy efficiency and renewable-energy options that both maximize annual energy savings and minimize peak-cooling demand.

  17. Waste Not, Want Not: Analyzing the Economic and Environmental Viability of Waste-to-Energy (WTE) Technology for Site-Specific Optimization of Renewable Energy Options

    SciTech Connect (OSTI)

    Funk, K.; Milford, J.; Simpkins, T.

    2013-02-01T23:59:59.000Z

    Waste-to-energy (WTE) technology burns municipal solid waste (MSW) in an environmentally safe combustion system to generate electricity, provide district heat, and reduce the need for landfill disposal. While this technology has gained acceptance in Europe, it has yet to be commonly recognized as an option in the United States. Section 1 of this report provides an overview of WTE as a renewable energy technology and describes a high-level model developed to assess the feasibility of WTE at a site. Section 2 reviews results from previous life cycle assessment (LCA) studies of WTE, and then uses an LCA inventory tool to perform a screening-level analysis of cost, net energy production, greenhouse gas (GHG) emissions, and conventional air pollution impacts of WTE for residual MSW in Boulder, Colorado. Section 3 of this report describes the federal regulations that govern the permitting, monitoring, and operating practices of MSW combustors and provides emissions limits for WTE projects.

  18. Optimal Measurement and Control in Quantum Dynamical Systems.

    E-Print Network [OSTI]

    Belavkin, Viacheslav P.

    Optimal Measurement and Control in Quantum Dynamical Systems. V P Belavkin Institute of Physics-dimensional linear Markovian dynamical system with a quantum linear transmission line is studied. The optimal quantum multi-stage decision rule consisting of the classical linear optimal control strategy and quantum

  19. ENGINEERING TECHNOLOGY Engineering Technology

    E-Print Network [OSTI]

    ENGINEERING TECHNOLOGY Engineering Technology Program The Bachelor of Science in Engineering Technology (BSET) is a hands-on program based upon engineering technology fundamentals, engineering for employment or further education. The focus is on current engineering technology issues and applications used

  20. Optimization Neuroimaging'',

    E-Print Network [OSTI]

    Nielsen, Finn Ã?rup

    Canonical Ridge Analysis with Ridge Parameter Optimization F. �. Nielsen, L. K. Hansen and S. C - PLS 1 = k 0 = k optimal k k = optimal k k £ £ 0 #12; Canonical Ridge Analysis with Ridge Parameter Optimization F. �. Nielsen, L. K. Hansen and S. C. Strother The Human Brain Project, P20 MH57180 ``Spatial

  1. Decision Support and Risk Management

    E-Print Network [OSTI]

    and emergency management officials during the planning, incident management preparedness, and response phasesDecision Support and Risk Management CVMDM: Community Vaccination and Mass Dispensing Model What and the performance of prophylaxis supply logistics and PODs. Decision and Information Sciences Division Decision

  2. IBRD Operational Decision Framework

    SciTech Connect (OSTI)

    Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J

    2010-11-12T23:59:59.000Z

    The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.

  3. Risk Analysis and Decision Making FY 2013 Milestone Report

    SciTech Connect (OSTI)

    Engel, David W.; Dalton, Angela C.; Dale, Crystal; Jones, Edward; Thompson, J.

    2013-06-01T23:59:59.000Z

    Risk analysis and decision making is one of the critical objectives of CCSI, which seeks to use information from science-based models with quantified uncertainty to inform decision makers who are making large capital investments. The goal of this task is to develop tools and capabilities to facilitate the development of risk models tailored for carbon capture technologies, quantify the uncertainty of model predictions, and estimate the technical and financial risks associated with the system. This effort aims to reduce costs by identifying smarter demonstrations, which could accelerate development and deployment of the technology by several years.

  4. Building Distributed Energy Performance Optimization for China a Regional Analysis of Building Energy Costs and CO2 Emissions

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01T23:59:59.000Z

    optimizations. Technologies assessed include photovoltaics (PV), solar thermal, gas turbines, microturbines, fuel cells,

  5. Risk-Based Comparison of Carbon Capture Technologies

    SciTech Connect (OSTI)

    Engel, David W.; Dalton, Angela C.; Dale, Crystal; Jones, Edward

    2013-05-01T23:59:59.000Z

    In this paper, we describe an integrated probabilistic risk assessment methodological framework and a decision-support tool suite for implementing systematic comparisons of competing carbon capture technologies. Culminating from a collaborative effort among national laboratories under the Carbon Capture Simulation Initiative (CCSI), the risk assessment framework and the decision-support tool suite encapsulate three interconnected probabilistic modeling and simulation components. The technology readiness level (TRL) assessment component identifies specific scientific and engineering targets required by each readiness level and applies probabilistic estimation techniques to calculate the likelihood of graded as well as nonlinear advancement in technology maturity. The technical risk assessment component focuses on identifying and quantifying risk contributors, especially stochastic distributions for significant risk contributors, performing scenario-based risk analysis, and integrating with carbon capture process model simulations and optimization. The financial risk component estimates the long-term return on investment based on energy retail pricing, production cost, operating and power replacement cost, plan construction and retrofit expenses, and potential tax relief, expressed probabilistically as the net present value distributions over various forecast horizons.

  6. Optimized Fault Location Final Project Report

    E-Print Network [OSTI]

    Engineering Research Center Optimized Fault Location Concurrent Technologies Corporation Final Project Report by the Concurrent Technologies Corporation (CTC) and the Power Systems Engineering Research Center (PSERC). NeitherOptimized Fault Location Final Project Report Power Systems Engineering Research Center A National

  7. Photovoltaic decision analysis

    E-Print Network [OSTI]

    Goldman, Neil L.

    1977-01-01T23:59:59.000Z

    This paper is concerned with the development and implementation of a methodology that analyzes information relating to the choice between flat plate and concentrator technologies for photovoltaic development. A

  8. Physical Protection System Upgrades - Optimizing for Performance and Cost

    SciTech Connect (OSTI)

    Bouchard, Ann M.; Hicks, Mary Jane

    1999-07-09T23:59:59.000Z

    CPA--Cost and Performance Analysis--is an architecture that supports analysis of physical protection systems and upgrade options. ASSESS (Analytic System and Software for Evaluating Security Systems), a tool for evaluating performance of physical protection systems, currently forms the cornerstone for evaluating detection probabilities and delay times of the system. Cost and performance data are offered to the decision-maker at the systems level and to technologists at the path-element level. A new optimization engine has been attached to the CPA methodology to automate analyses of many combinations (portfolios) of technologies. That engine controls a new analysis sequencer that automatically modifies ASSESS PPS files (facility descriptions), automatically invokes ASSESS Outsider analysis and then saves results for post-processing. Users can constrain the search to an upper bound on total cost, to a lower bound on level of performance, or to include specific technologies or technology types. This process has been applied to a set of technology development proposals to identify those portfolios that provide the most improvement in physical security for the lowest cost to install, operate and maintain at a baseline facility.

  9. Lab grants Decision Sciences

    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 SchoolIn12electron 9 5 - -/e),,s -Labgrants Decision Sciences

  10. Policy implications of technologies for cognitive enhancement

    SciTech Connect (OSTI)

    Sarewitz, Daniel R. (Arizona State University, Tempe, AZ); Karas, Thomas H.

    2007-02-01T23:59:59.000Z

    The Advanced Concepts Group at Sandia National Laboratory and the Consortium for Science, Policy and Outcomes at Arizona State University convened a workshop in May 2006 to explore the potential policy implications of technologies that might enhance human cognitive abilities. The group's deliberations sought to identify core values and concerns raised by the prospect of cognitive enhancement. The workshop focused on the policy implications of various prospective cognitive enhancements and on the technologies/nanotechnology, biotechnology, information technology, and cognitive science--that enable them. The prospect of rapidly emerging technological capabilities to enhance human cognition makes urgent a daunting array of questions, tensions, ambitions, and concerns. The workshop elicited dilemmas and concerns in ten overlapping areas: science and democracy; equity and justice; freedom and control; intergenerational issues; ethics and competition; individual and community rights; speed and deliberations; ethical uncertainty; humanness; and sociocultural risk. We identified four different perspectives to encompass the diverse issues related to emergence of cognitive enhancement technologies: (1) Laissez-faire--emphasizes freedom of individuals to seek and employ enhancement technologies based on their own judgment; (2) Managed technological optimism--believes that while these technologies promise great benefits, such benefits cannot emerge without an active government role; (3) Managed technological skepticism--views that the quality of life arises more out of society's institutions than its technologies; and (4) Human Essentialism--starts with the notion of a human essence (whether God-given or evolutionary in origin) that should not be modified. While the perspectives differ significantly about both human nature and the role of government, each encompasses a belief in the value of transparency and reliable information that can allow public discussion and decisions about cognitive enhancement. The practical question is how to foster productive discussions in a society whose attention is notably fragmented and priorities notably diverse. The question of what to talk about remains central, as each of the four perspectives is concerned about different things. Perhaps the key issue for initial clarification as a condition for productive democratic discussion has to do with the intended goals of cognitive enhancement, and the mechanisms for allowing productive deliberation about these goals.

  11. Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

    SciTech Connect (OSTI)

    Brewer, Jeffrey D.

    2005-11-01T23:59:59.000Z

    The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate the wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.

  12. Sandia National Laboratories: next generation energy technology

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

    next generation energy technology SWiFT Commissioned to Study Wind Farm Optimization On July 29, 2013, in Energy, Facilities, News, News & Events, Partnership, Renewable Energy,...

  13. Buildings Technologies Deployment | Clean energy | ORNL

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

    are successfully deployed to the fullest extent possible. ORNL helps optimize the energy performance of buildings and industrial processes by moving technologies to full use...

  14. Soil Vapor Extraction System Optimization, Transition, and Closure Guidance

    SciTech Connect (OSTI)

    Truex, Michael J.; Becker, Dave; Simon, Michelle A.; Oostrom, Martinus; Rice, Amy K.; Johnson, Christian D.

    2013-02-08T23:59:59.000Z

    Soil vapor extraction (SVE) is a prevalent remediation approach for volatile contaminants in the vadose zone. A diminishing rate of contaminant extraction over time is typically observed due to 1) diminishing contaminant mass, and/or 2) slow rates of removal for contamination in low-permeability zones. After a SVE system begins to show indications of diminishing contaminant removal rate, SVE performance needs to be evaluated to determine whether the system should be optimized, terminated, or transitioned to another technology to replace or augment SVE. This guidance specifically addresses the elements of this type of performance assessment. While not specifically presented, the approach and analyses in this guidance could also be applied at the onset of remediation selection for a site as a way to evaluate current or future impacts to groundwater from vadose zone contamination. The guidance presented here builds from existing guidance for SVE design, operation, optimization, and closure from the U.S. Environmental Protection Agency, U.S. Army Corps of Engineers, and the Air Force Center for Engineering and the Environment. The purpose of the material herein is to clarify and focus on the specific actions and decisions related to SVE optimization, transition, and/or closure.

  15. Adaptive robust optimization with applications in inventory and revenue management

    E-Print Network [OSTI]

    Iancu, Dan Andrei

    2010-01-01T23:59:59.000Z

    In this thesis, we examine a recent paradigm for solving dynamic optimization problems under uncertainty, whereby one considers decisions that depend directly on the sequence of observed disturbances. The resulting policies, ...

  16. Local energy management through mathematical modeling and optimization

    E-Print Network [OSTI]

    Craft David (David Loren), 1973-

    2004-01-01T23:59:59.000Z

    (cont.) Extensions to the core TOTEM model include a demand charge model, used for making daily optimal control decisions when the electric bill includes a charge based on the monthly maximum power draw. The problem of ...

  17. Office of Hydrogen, Fuel Cells & Infrastructure Technologies

    E-Print Network [OSTI]

    . Hydrogen Storage 2. Hydrogen Production 3. Fuel Cell Cost Reduction #12;Major Fuel Cell Decisions FuelOffice of Hydrogen, Fuel Cells & Infrastructure Technologies (proposed) Steve Chalk May 6, 2002 #12 DAS Associate DASIndustrial Technologies Implementation A Director Solar Energy Technologies Director

  18. Spectral Decision Diagrams Using Graph Transformations Mitchell Thornton Rolf Drechsler

    E-Print Network [OSTI]

    Thornton, Mitchell

    Spectral Decision Diagrams Using Graph Transformations #3; Mitchell Thornton Rolf Drechsler Department of Electrical and Computer Engineering Siemens AG Mississippi State University Corporate Technology Mississippi State, MS 39762 81730 Munich, Germany mitch@ece.msstate.edu rolf.drechsler@mchp.siemens

  19. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    for capturing and reusing experience and best practice in industrial operations5-7 . CBR as a technology has nowKNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process

  20. Wind Turbine Shutdowns and Upgrades in Denmark: Timing Decisions and the Impact of Government Policy

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    Wind Turbine Shutdowns and Upgrades in Denmark: Timing Decisions and the Impact of Government structural econometric model of wind turbine owners' decisions about whether and when to add new turbines the underlying profit structure for wind producers and evaluate the impact of technology and government policy

  1. Decision Summaries | Department of Energy

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

    Appliances & Electronics Search link to facebook link to twitter Email Signup Sign up for updates Go Search form Search Appliances & Electronics You are here Home Decision...

  2. Optimization 1-1 Convex Optimization & Duality

    E-Print Network [OSTI]

    Fan, Xingzhe

    1 Optimization 1-1 Convex Optimization & Duality EEN634, Spring 2007 BASED ON LECTURES GIVEN AT MIT and Princeton Department of ECE, UMiami Optimization 1-2 #12;2 Optimization 1-3 Optimization 1-4 #12;3 Optimization 1-5 Optimization 1-6 #12;4 Optimization 1-7 Optimization 1-8 #12;5 Optimization 1-9 Optimization 1

  3. Product Life Cycle, and Market Entry and Exit Decisions Under Uncertainty

    E-Print Network [OSTI]

    Chi, Tailan; Liu, John

    2001-01-01T23:59:59.000Z

    A key characteristic of the product life cycle (PLC) is the depletion of the product’s market potential due to technological obsolescence. Based on this concept, we develop a stochastic model for evaluating market entry and exit decisions during...

  4. IMPROVED ROOF STABILIZATION TECHNOLOGIES

    SciTech Connect (OSTI)

    M.A. Ebadian, Ph.D.

    1999-01-01T23:59:59.000Z

    Many U.S. Department of Energy (DOE) remediation sites have performed roof repair and roof replacement to stabilize facilities prior to performing deactivation and decommissioning (D&D) activities. This project will review the decision criteria used by these DOE sites, along with the type of repair system used for each different roof type. Based on this information, along with that compiled from roofing experts, a decision-making tool will be generated to aid in selecting the proper roof repair systems. Where appropriate, innovative technologies will be reviewed and applied to the decision-making tool to determine their applicability. Based on the results, applied research and development will be conducted to develop a method to repair these existing roofing systems, while providing protection for the D and D worker in a cost-efficient manner.

  5. Modeling learning when alternative technologies are learning & resource constrained : cases In semiconductor & advanced automotive manufacturing

    E-Print Network [OSTI]

    Rand-Nash, Thomas

    2012-01-01T23:59:59.000Z

    When making technology choice decisions, firms must consider technology costs over time. In many industries, technology costs have been shown to decrease over time due to (a) improvements in production efficiency and the ...

  6. Optimization Online - Full Nesterov-Todd Step Primal-Dual Interior ...

    E-Print Network [OSTI]

    M. Zangiabadi

    2008-07-26T23:59:59.000Z

    Jul 26, 2008 ... Delft University of Technology. P.O. Box 5031, 2600 GA ... the Mathematical Programming Society and by the Optimization Technology Center.

  7. Direct optimization overly optimizes data Kazunori Yoshizawa

    E-Print Network [OSTI]

    Yoshizawa, Kazunori

    OPINION Direct optimization overly optimizes data Kazunori Yoshizawa Systematic Entomology optimization is a criterion that recognizes sequence alignment and tree search as a single epistemological optimization criterion, all data partitions are combined and optimized simultaneously along with the same tree

  8. Introduction Optimal Controller Tuning rule Conclusions Optimal PID-Control on First Order Plus

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Introduction Optimal Controller Tuning rule Conclusions Optimal PID-Control on First Order Plus University of Science and Technology February 19, 2014 C. Grimholt and S. Skogestad (NTNU) Optimal PID INTRODUCTION The Questions How much can we gain by using PID instead of PI control? Is there a simple PID

  9. Human-Automation Path Planning Optimization and Decision Support

    E-Print Network [OSTI]

    Cummings, M.L.

    2011-01-01T23:59:59.000Z

    Path planning is a problem encountered in multiple domains, including unmanned vehicle control, air traffic control, and future exploration missions to the Moon and Mars. Due to the voluminous and complex nature of the ...

  10. Optimal Decisions with Multiple Agents of Varying Performance

    E-Print Network [OSTI]

    Silverman, Noah

    2013-01-01T23:59:59.000Z

    Presented research on Mathematical Models of Bitcoin Pricingat The Bitcoin 2013 Conference. Presented paper on

  11. Robust and Data-Driven Optimization: Modern Decision-Making ...

    E-Print Network [OSTI]

    2006-05-12T23:59:59.000Z

    ?Boeing Professor of Operations Research, Sloan School of Management, ... uncertainty sets, which preserves the class of problems under analysis, e.g., the ..... return of asset i belongs to the interval [ri ? si,ri + si] with ri = 1.15 + i(0.05/150) and si = ..... Does the manager derive deeper insights into the impact of uncertainty?

  12. Optimizations in Decision Procedures for Propositional Linear Inequalities

    E-Print Network [OSTI]

    was supported in part by the Office of Naval Research (ONR) and the Naval Research Labora­ tory (NRL) under in ', and ig­ nores the Boolean connectives (i.e. conjunctions and disjunctions) between them. Thus

  13. Optimizations in Decision Procedures for Propositional Linear Inequalities

    E-Print Network [OSTI]

    was supported in part by the Office of Naval Research (ONR) and the Naval Research Labora- tory (NRL) under in , and ig- nores the Boolean connectives (i.e. conjunctions and disjunctions) between them. Thus

  14. Human machine collaborative decision making in a complex optimization system

    E-Print Network [OSTI]

    Malasky, Jeremy S

    2005-01-01T23:59:59.000Z

    Numerous complex real-world applications are either theoretically intractable or unable to be solved in a practical amount of time. Researchers and practitioners are forced to implement heuristics in solving such problems ...

  15. Decision Support and Optimization in Shutdown and Turnaround Scheduling

    E-Print Network [OSTI]

    Nabben, Reinhard

    heuristic produces. 1 Introduction In chemical manufacturing and petroleum refining, large-scale maintenance with solutions of a time-consuming mixed integer program prove the high quality of the solutions that our fast

  16. Optimizing Trading Decisions for Hydro Storage Systems using ...

    E-Print Network [OSTI]

    2012-09-19T23:59:59.000Z

    solar, or run-of-river. The European ... and generating companies are currently investing about 26 billion Euros into new pumped-hydro storage plants with a ...

  17. Decision-theoretic foundations of simulation optimization Peter I. Frazier

    E-Print Network [OSTI]

    Keinan, Alon

    of the physical and chemical processes in a combustion engine. Often, our goal in building a simulation

  18. A method for optimal water quality management

    E-Print Network [OSTI]

    Miller, Daniel Stewart

    1968-01-01T23:59:59.000Z

    that multi- stage optimization is applicablc to thc problem. IIow- cvcr, thoy have oversimplified thc waste tx catmant operation and have nccgloctod thc influcnco of tha reservoir (low-flow augmentation). Low-flow augmentation denotes releases from... . 30 Chapter IV SOLUTION METHODS. Introduction Terminology. Stages and returns. Decision variable Transition function The Principal of Optimality. Fixed State Problems Initial value Final value Two point boundary. Example Problem...

  19. IEEE COMMUNICATIONS LETTERS, VOL. 5, NO. 6, JUNE 2001 257 Soft-Decision COVQ for Turbo-Coded AWGN and

    E-Print Network [OSTI]

    Alajaji, Fady

    IEEE COMMUNICATIONS LETTERS, VOL. 5, NO. 6, JUNE 2001 257 Soft-Decision COVQ for Turbo-Coded AWGN-decision channel-optimized vector quantization (COVQ) scheme for Turbo-coded additive white Gaussian noise (AWGN) and Rayleigh fading channels is pro- posed. The log likelihood ratio (LLR) generated by the Turbo decoder

  20. Optimization models for improving periodic maintenance schedules by utilizing opportunities

    E-Print Network [OSTI]

    Patriksson, Michael

    to this as preventive maintenance activities at an oppor- tunity. The original opportunistic replacement problemOptimization models for improving periodic maintenance schedules by utilizing opportunities Torgny of Technology Abstract We present mathematical models for finding optimal opportunistic maintenance schedules

  1. Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains

    E-Print Network [OSTI]

    Victoria, University of

    Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains By Jeffrey of the author. #12;ii Modelling, Simulation, Testing and Optimization of Advanced Hybrid Vehicle Powertrains supplant conventional ICEs as the dominant technology, most notably electric and hybrid powertrains

  2. Real-Time Optimization Strategies for Building Systems

    E-Print Network [OSTI]

    2011-09-02T23:59:59.000Z

    Optimization-based control is a key technology in next-generation building systems. ... For instance, many optimization studies assume that demand shifting is the ...... While demand response programs can provide a financial incentive, current ...

  3. Optimization Online - First-order algorithm with $O(ln(1/\\epsilon ...

    E-Print Network [OSTI]

    Andrew Gilpin

    2008-04-16T23:59:59.000Z

    Apr 16, 2008 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  4. Optimization Online - A fast TVL1-L2 minimization algorithm for ...

    E-Print Network [OSTI]

    Junfeng Yang

    2009-03-12T23:59:59.000Z

    Mar 12, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

  5. Passive solar technology

    SciTech Connect (OSTI)

    Watson, D

    1981-04-01T23:59:59.000Z

    The present status of passive solar technology is summarized, including passive solar heating, cooling and daylighting. The key roles of the passive solar system designer and of innovation in the building industry are described. After definitions of passive design and a summary of passive design principles are given, performance and costs of passive solar technology are discussed. Passive energy design concepts or methods are then considered in the context of the overall process by which building decisions are made to achieve the integration of new techniques into conventional design. (LEW).

  6. The Effects of Elite Decision Making

    E-Print Network [OSTI]

    Johansen, Morgen S.

    2010-07-14T23:59:59.000Z

    focuses on two groups of decision makers, candidates running for office and public managers, and the effect of their decisions on the electorate and organization, respectively. The dissertation explores the impact of candidates' decisions regarding...

  7. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01T23:59:59.000Z

    MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents ...

  8. Contributions to risk-informed decision making

    E-Print Network [OSTI]

    Elliott, Michael A. (Michael Alfred)

    2010-01-01T23:59:59.000Z

    Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under ...

  9. Incorporating uncertainty into electric utility projections and decisions

    SciTech Connect (OSTI)

    Hanson, D.A.

    1992-01-01T23:59:59.000Z

    This paper focuses on how electric utility companies can respond in their decision making to uncertain variables. Here we take a mean- variance type of approach. The mean'' value is an expected cost, on a discounted value basis. We assume that management has risk preferences incorporating a tradeoff between the mean and variance in the utility's net income. Decisions that utilities are faced with can be classified into two types: ex ante and ex post. The ex ante decisions need to be made prior to the uncertainty being revealed and the ex post decision can be postponed until after the uncertainty is revealed. Intuitively, we can say that the ex ante decisions provide a hedge against the uncertainties and the ex post decisions allow the negative outcomes of uncertain variables to be partially mitigated, dampening the losses. An example of an ex post decision is how the system is operated i.e., unit dispatch, and in some cases switching among types of fuels, say with different sulfur contents. For example, if gas prices go up, natural gas combined cycle units are likely to be dispatched at lower capacity factors. If SO{sub 2} emission allowance prices go up, a utility may seek to switch into a lower sulfur coal. Here we assume that regulated electric utilities do have some incentive to lower revenue requirements and hence an incentive to lower the electric rates needed for the utility to break even, thereby earning a fair return on invested capital. This paper presents the general approach first, including applications to capacity expansion and system dispatch. Then a case study is presented focusing on the 1990 Clean Air Act Amendments including SO{sub 2} emissions abatement and banking of allowances under uncertainty. It is concluded that the emission banking decisions should not be made in isolation but rather all the uncertainties in demand, fuel prices, technology performance etc., should be included in the uncertainty analysis affecting emission banking.

  10. Incorporating uncertainty into electric utility projections and decisions

    SciTech Connect (OSTI)

    Hanson, D.A.

    1992-07-01T23:59:59.000Z

    This paper focuses on how electric utility companies can respond in their decision making to uncertain variables. Here we take a mean- variance type of approach. The ``mean`` value is an expected cost, on a discounted value basis. We assume that management has risk preferences incorporating a tradeoff between the mean and variance in the utility`s net income. Decisions that utilities are faced with can be classified into two types: ex ante and ex post. The ex ante decisions need to be made prior to the uncertainty being revealed and the ex post decision can be postponed until after the uncertainty is revealed. Intuitively, we can say that the ex ante decisions provide a hedge against the uncertainties and the ex post decisions allow the negative outcomes of uncertain variables to be partially mitigated, dampening the losses. An example of an ex post decision is how the system is operated i.e., unit dispatch, and in some cases switching among types of fuels, say with different sulfur contents. For example, if gas prices go up, natural gas combined cycle units are likely to be dispatched at lower capacity factors. If SO{sub 2} emission allowance prices go up, a utility may seek to switch into a lower sulfur coal. Here we assume that regulated electric utilities do have some incentive to lower revenue requirements and hence an incentive to lower the electric rates needed for the utility to break even, thereby earning a fair return on invested capital. This paper presents the general approach first, including applications to capacity expansion and system dispatch. Then a case study is presented focusing on the 1990 Clean Air Act Amendments including SO{sub 2} emissions abatement and banking of allowances under uncertainty. It is concluded that the emission banking decisions should not be made in isolation but rather all the uncertainties in demand, fuel prices, technology performance etc., should be included in the uncertainty analysis affecting emission banking.

  11. Biodetection Technologies for First Responders

    SciTech Connect (OSTI)

    Baird, Cheryl L.; Seiner, Derrick R.; Ozanich, Richard M.; Bartholomew, Rachel A.; Colburn, Heather A.; Straub, Tim M.; Bruckner-Lea, Cindy J.

    2012-10-24T23:59:59.000Z

    In a white powder scenario, there are a large number of field-deployable assays that can be used to determine if the suspicious substance contains biological material and warrants further investigation. This report summarizes commercially available technologies that are considered hand portable and can be used by first responders in the field. This is not meant to be an exhaustive list, nor do the authors endorse any of the technologies described herein. Rather, it is meant to provide useful information about available technologies to help end-users make informed decisions about biodetection technology procurement and use.

  12. Participation in crisis decision making

    E-Print Network [OSTI]

    Marsico, Dale Joseph

    1973-01-01T23:59:59.000Z

    PARTICIPATION IN CRISIS DECISION MAKiNG A Thesis by DALE JOSEPH MARSICO Submitted to the Graduate Col. legs of Te-. :as A&M University in partial fulfillment of the requirement~ for the degree MASTFR OF ARTS December 1973 Na)or Sub...]ect: Political Science PARTICIPATION IN CRISIS DECISION MAI'1NG A Thesis by DARE JOSEPH YARSICO Approved as to style and content by: (Chairman of Corm'. ttee M mber) PQBIQ ()~~ December 1973 487889 ABSTRACT Participation in Crisis Decision Making. (De...

  13. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

    Optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24 and 26. APPENDIX B Optimizations Included in thisappendix are the three optimization steps which together

  14. Optimal demand response: problem formulation and deterministic case

    E-Print Network [OSTI]

    Low, Steven H.

    Optimal demand response: problem formulation and deterministic case Lijun Chen, Na Li, Libin Jiang load through real-time demand response and purchases balancing power on the spot market to meet, optimal demand response reduces to joint scheduling of the procurement and consumption decisions

  15. Use of a decision tree to select the mud system for the Oso field, Nigeria

    SciTech Connect (OSTI)

    Dear, S.F. III; Beasley, R.D.; Barr, K.P.

    1995-10-01T23:59:59.000Z

    Far too often, the basis for selection of a mud system is the ``latest, greatest`` technology or personal preference rather than sound cost-effective analysis. The use of risk-vs.-cost decision analysis improves mud selection and makes it a proper business decision. Several mud systems usually are available to drill and well and, with good decision analysis, the cost-effectiveness of each alternative becomes apparent. This paper describes how the drilling team used structured decision analysis to evaluate and select the best mud system for the project. First, Monte Carlo simulations forecast the range of possible results with each alternative. The simulations provide most-likely values for the variables in the decision tree, including reasonable ranges for sensitivity analyses. This paper presents and discusses the simulations, the decision tree, and the sensitivity analyses.

  16. Decision Analysis for EGS | Department of Energy

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

    Decision Analysis for EGS Decision Analysis for EGS Project objectives: DEVELOPMENT OF ANALYSIS TOOLS TO ASSESS: Uncertainties associated with exploration for EGS; Uncertainties...

  17. HANDBOOK OF GLOBAL OPTIMIZATION Volume 2

    E-Print Network [OSTI]

    2001-12-06T23:59:59.000Z

    Deformation methods of global optimization in chemistry and phy- sics. 461 ... In engineering, economic and scientific studies, quantitative decisions are frequently ... in applied mathematical, physical, chemical, biological, environmental, ..... OR and computer science textbooks; hence, we will not repeat the ex- position here ...

  18. Groundwater Remediation Strategy Using Global Optimization Algorithms

    E-Print Network [OSTI]

    Neumaier, Arnold

    Groundwater Remediation Strategy Using Global Optimization Algorithms Shreedhar Maskey1 ; Andreja Jonoski2 ; and Dimitri P. Solomatine3 Abstract: The remediation of groundwater contamination by pumping as decision variables. Groundwater flow and particle-tracking models MODFLOW and MODPATH and a GO tool GLOBE

  19. achieving optimal configuration: Topics by E-print Network

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

    18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Automated Synthesis and Optimization of Robot Configurations Computer Technologies and Information Sciences Websites...

  20. Optimization of Direct-Injection H2 Combustion Engine Performance...

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

    1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation ace009wallner2011o.pdf More Documents & Publications Optimization...

  1. Optimization Online - Robust Branch-Cut-and-Price Algorithms for ...

    E-Print Network [OSTI]

    Artur Pessoa

    2008-06-10T23:59:59.000Z

    Jun 10, 2008 ... ... also presented, specially the development of new families of cuts over large extended formulations. ... the Optimization Technology Center.

  2. Three essays in decision making

    E-Print Network [OSTI]

    Weaver, Ray, Ph. D. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    This dissertation is composed of three essays about consumer judgment and decision making. In Essay 1, I develop a novel explanation for the well-known endowment effect - the tendency for owners to value goods more than ...

  3. Making Decisions with Enterprise Budgets

    E-Print Network [OSTI]

    Smith, Jackie; McCorkle, Dean; Outlaw, Joe

    2000-11-08T23:59:59.000Z

    Enterprise budgets can help farmers and ranchers make better decisions about what products to produce and how to produce them economically. This publication tells how to create and use enterprise budgets and includes an example....

  4. Faience Technology

    E-Print Network [OSTI]

    Nicholson, Paul

    2009-01-01T23:59:59.000Z

    by Joanne Hodges. Faience Technology, Nicholson, UEE 2009Egyptian materials and technology, ed. Paul T. Nicholson,Nicholson, 2009, Faience Technology. UEE. Full Citation:

  5. Optimization Online - All Areas Submissions - February 2009

    E-Print Network [OSTI]

    ... Johan Suykens. Applications — OR and Management Sciences ... and Management Sciences Modeling the Mobile Oil Recovery Problem as a Multiobjective Vehicle Routing Problem ... Society and by the Optimization Technology Center.

  6. Design with Uncertain Technology Evolution

    E-Print Network [OSTI]

    Arendt, Jonathan Lee

    2012-10-19T23:59:59.000Z

    of an automotive manufacturing firm entering the electric vehicle market deciding which battery technology to include in their new line of electric cars is used to demonstrate the decision-making method. Another scenario of a wind turbine energy company deciding...

  7. Optimization Online - Nonlinear Optimization Submissions - 2012

    E-Print Network [OSTI]

    Sonia Cafieri, Alberto Costa, Pierre Hansen. February 2012. Unconstrained Optimization Smoothing SQP Algorithm for Non-Lipschitz Optimization with ...

  8. Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance Models

    E-Print Network [OSTI]

    Mountziaris, T. J.

    ARTICLES Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance metabolism with dynamic mass balances on key extracellular species. Model-based dynamic optimization concentration profiles, and the final batch time are treated as decision variables in the dynamic optimization

  9. Optimize carbon dioxide sequestration, enhance oil recovery

    E-Print Network [OSTI]

    - 1 - Optimize carbon dioxide sequestration, enhance oil recovery January 8, 2014 Los Alamos simulation to optimize carbon dioxide (CO2) sequestration and enhance oil recovery (CO2-EOR) based on known production. Due to carbon capture and storage technology advances, prolonged high oil prices

  10. -International Doctorate Program -Identification, Optimization and Control

    E-Print Network [OSTI]

    Dettweiler, Michael

    for Molten Carbonate Fuel Cell Systems: A Challenge in PDE Constrained Optimization April 23, 2009 Preprint IOC-25 #12;#12;OPTIMAL CONTROL OF LOAD CHANGES FOR MOLTEN CARBONATE FUEL CELL SYSTEMS: A CHALLENGE carbonate fuel cells provide a promising technology for the operation of future stationary power plants

  11. Online Produced Water Treatment Catalog and Decision Tool

    SciTech Connect (OSTI)

    J. Arthur

    2012-03-31T23:59:59.000Z

    The objective of this project was to create an internet-based Water Treatment Technology Catalog and Decision Tool that will increase production, decrease costs and enhance environmental protection. This is to be accomplished by pairing an operator's water treatment cost and capacity needs to specific water treatments. This project cataloged existing and emerging produced water treatment technologies and allows operators to identify the most cost-effective approaches for managing their produced water. The tool captures the cost and capabilities of each technology and the disposal and beneficial use options for each region. The tool then takes location, chemical composition, and volumetric data for the operator's water and identifies the most cost effective treatment options for that water. Regulatory requirements or limitations for each location are also addressed. The Produced Water Treatment Catalog and Decision Tool efficiently matches industry decision makers in unconventional natural gas basins with: 1) appropriate and applicable water treatment technologies for their project, 2) relevant information on regulatory and legal issues that may impact the success of their project, and 3) potential beneficial use demands specific to their project area. To ensure the success of this project, it was segmented into seven tasks conducted in three phases over a three year period. The tasks were overseen by a Project Advisory Council (PAC) made up of stakeholders including state and federal agency representatives and industry representatives. ALL Consulting has made the catalog and decision tool available on the Internet for the final year of the project. The second quarter of the second budget period, work was halted based on the February 18, 2011 budget availability; however previous project deliverables were submitted on time and the deliverables for Task 6 and 7 were completed ahead of schedule. Thus the application and catalog were deployed to the public Internet. NETL did not provide additional funds and work on the project stopped on February 18, 2011. NETL ended the project on March 31, 2012.

  12. Potential impacts on advanced technologies on the ATC capacity of high-density terminal areas

    E-Print Network [OSTI]

    Simpson, R. W.

    1986-01-01T23:59:59.000Z

    Advanced technologies for airborne systems (automatic flight control, flight displays, navigation) and for ground ATC systems (digital communications, improved surveillance and tracking, automated decision-making) create ...

  13. InformationTechnologiesPrograms extension.uci.edu/seo

    E-Print Network [OSTI]

    Rose, Michael R.

    InformationTechnologiesPrograms extension.uci.edu/seo Search Engine Optimization Specialized of excellence. Search Engine Optimization Specialized Studies The demand for Search Engine Optimization (SEO. This program is designed to teach students the process of Search Engine Optimization (SEO) which

  14. Michigan: General Motors Optimizes Engine Valve Technology |...

    Energy Savers [EERE]

    Pictured here is an...

  15. Plant Optimization Technologies | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCO Overview OCHCO OCHCOControlGuide to aEnergyPlanning andof

  16. Financial evaluation and decision making processes for environmental technology projects

    E-Print Network [OSTI]

    Dreher, Jonathan J. (Jonathan Jacob)

    2010-01-01T23:59:59.000Z

    The convergence of the information age with an improved understanding of the effects humans have on the environment provides exciting new opportunities to improve our impact on the world. Though modem companies collect and ...

  17. Binary Decision Diagrams and Beyond: Enabling Technologies for Formal Verification

    E-Print Network [OSTI]

    Bryant, Randal E.

    . Bryant Carnegie Mellon University Pittsburgh, PA 15213 Randy.Bryant@cs.cmu.edu http://www.cs.cmu/~bryant

  18. DOE signs Record of Decision selecting Hot Isostatic Pressing Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear Energy Partnership Januaryfor

  19. DOE signs Record of Decision selecting Hot Isostatic Pressing Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear Energy Partnership

  20. HEMISPHERIC CENTER FOR ENVIRONMENTAL TECHNOLOGY

    SciTech Connect (OSTI)

    M.A. Ebadian

    1999-10-31T23:59:59.000Z

    The Deactivation and Decommissioning (D&D) Technology Assessment Program (TAP) was developed to provide detailed, comparable data for environmental technologies and to disseminate this data to D&D professionals in a manner that will facilitate the review and selection of technologies to perform decontamination and decommissioning. The objectives for this project include the following: Determine technology needs through review of the Site Technology Coordination Group (STCG) information and other applicable websites and needs databases; Perform a detailed review of industries that perform similar activities as those required in D&D operations to identify additional technologies; Define the technology assessment program for characterization and waste management problem sets; Define the data management program for characterization, dismantlement, and waste management problem sets; Evaluate baseline and innovative technologies under standard test conditions at Florida International University's Hemispheric Center for Environmental Technology (FIU-HCET) and other locations and collect data in the areas of performance, cost, health and safety, operations and maintenance, and primary and secondary waste generation; Continue to locate, verify, and incorporate technology performance data from other sources into the multimedia information system; and Develop the conceptual design for a dismantlement technology decision analysis tool for dismantlement technologies.

  1. EIS-0221: Record of Decision

    Broader source: Energy.gov [DOE]

    York County Energy Partners Cogeneration Facility of the Clean Coal Technology Demonstration Program in North Codorus Township, York County, Pennsylvania

  2. Digital Actuator Technology

    SciTech Connect (OSTI)

    Ken Thomas; Ted Quinn; Jerry Mauck; Richard Bockhorst

    2014-09-01T23:59:59.000Z

    There are significant developments underway in new types of actuators for power plant active components. Many of these make use of digital technology to provide a wide array of benefits in performance of the actuators and in reduced burden to maintain them. These new product offerings have gained considerable acceptance in use in process plants. In addition, they have been used in conventional power generation very successfully. This technology has been proven to deliver the benefits promised and substantiate the claims of improved performance. The nuclear industry has been reluctant to incorporate digital actuator technology into nuclear plant designs due to concerns due to a number of concerns. These could be summarized as cost, regulatory uncertainty, and a certain comfort factor with legacy analog technology. The replacement opportunity for these types of components represents a decision point for whether to invest in more modern technology that would provide superior operational and maintenance benefits. Yet, the application of digital technology has been problematic for the nuclear industry, due to qualification and regulatory issues. With some notable exceptions, the result has been a continuing reluctance to undertake the risks and uncertainties of implementing digital actuator technology when replacement opportunities present themselves. Rather, utilities would typically prefer to accept the performance limitations of the legacy analog actuator technologies to avoid impacts to project costs and schedules. The purpose of this report is to demonstrate that the benefits of digital actuator technology can be significant in terms of plant performance and that it is worthwhile to address the barriers currently holding back the widespread development and use of this technology. It addresses two important objectives in pursuit of the beneficial use of digital actuator technology for nuclear power plants: 1. To demonstrate the benefits of digital actuator technology over legacy analog sensor technology in both quantitative and qualitative ways. 2. To recognize and address the added difficulty of digital technology qualification, especially in regard to software common cause failure (SCCF), that is introduced by the use of digital actuator technology.

  3. Interconnection networks synthesis and optimization

    E-Print Network [OSTI]

    Zhu, Yi

    2008-01-01T23:59:59.000Z

    Synthesis and Optimization . . . . . . . . . . .1.Wire Style Optimization . . . . . . . . . . . . . B. PowerSynthesis and Optimization . 1. Overview . . . . . . . . . .

  4. Decision making in the reactor control room

    SciTech Connect (OSTI)

    Nelson, W.R.

    1981-01-01T23:59:59.000Z

    One of the most important roles of the nuclear reactor operator is that of decision maker. This paper discusses a simple model of the decision process used by the reactor operator. Resources that must be available so that he can perform the decision process are presented. Decision aids which have been investigated at EG and G Idaho, Inc., as part of the LOFT Augmented Operator Capability Program are briefly discussed. Some general concepts of computerized decision aiding are developed, and the promises and pitfalls of such decision aids are explored. 7 refs., 1 fig.

  5. Fuzzy Optimality and Evolutionary Multiobjective Optimization

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    Fuzzy Optimality and Evolutionary Multiobjective Optimization M. Farina and P. Amato. Pareto optimality is someway ineffective for optimization problems with several (more than three) objectives. In fact the Pareto optimal set tends to become a wide portion of the whole design domain search

  6. Building America Technology Solutions for New and Existing Homes...

    Energy Savers [EERE]

    Applications, Ithaca, New York (Fact Sheet) Building America Technology Solutions for New and Existing Homes: Optimizing Hydronic System Performance in Residential Applications,...

  7. Building America Technology Solutions for New and Existing Homes...

    Energy Savers [EERE]

    Applications (Fact Sheet) Building America Technology Solutions for New and Existing Homes: Optimizing Hydronic System Performance in Residential Applications (Fact Sheet) In this...

  8. Vehicle Technologies Office: 2012 Vehicle and Systems Simulation...

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

    vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2012vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

  9. Vehicle Technologies Office: 2011 Vehicle and Systems Simulation...

    Energy Savers [EERE]

    vehicle evaluation, codes and standards development, and heavy vehicle systems optimization. 2011vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

  10. Vehicle Technologies Office: 2013 Vehicle and Systems Simulation...

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

    and field evaluations, codes and standards, industry projects, and vehicle systems optimization. 2013vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

  11. Update on Diesel Exhaust Emission Control Technology and Regulations

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

    diesel out of the PM inventory * Technology is the state of optimization and cost reduction - Regeneration * LDD and MDD: engine management * HDD: auxiliary exhaust injection -...

  12. Hybrid Decision Algorithm for Access Selection in Multi-Operator Networks

    E-Print Network [OSTI]

    Boyer, Edmond

    a hybrid decision algorithm for the selection of the access in multi-operator networks environment, where Resource Management (RRM) jointly done among the different RATs. It creates a multi-RATs environment under the management of a single operator, and a joint RRM begins by optimizing users association to the different RATs

  13. Decision-support tool for assessing future nuclear reactor generation portfolios.

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Decision-support tool for assessing future nuclear reactor generation portfolios. Shashi Jain, where especially capital costs are known to be highly uncertain. Differ- ent nuclear reactor types uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors

  14. Distributed Smart-home Decision-making in a Hierarchical Interactive Smart Grid

    E-Print Network [OSTI]

    Jayaweera, Sudharman K.

    1 Distributed Smart-home Decision-making in a Hierarchical Interactive Smart Grid Architecture Ding of the individual smart-homes to actually achieve the optimal solution derived by the controller under realistic for all smart-homes in the auctioning game, collusive equilibria do exist and can jeopardize

  15. NET - Optimization Online

    E-Print Network [OSTI]

    Optimization Online An E-Print Site for the Optimization Community. Network Optimization submissions; 2001 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009

  16. FTN4 OPTIMIZATION TECHNIQUES.

    E-Print Network [OSTI]

    Authors, Various

    2012-01-01T23:59:59.000Z

    3 1st Edition FTN4 OPTIMIZATION TECHNIQUES November 1979O. INTRODUCTION 1. COt1PILER OPTIMIZATIONS 2. SOURCE CODEcode. Most of these optimizations decrease central processor

  17. Sustainable solar thermal power generation (STPG) technologies in Indian context

    SciTech Connect (OSTI)

    Sharma, R.S. [Ministry of Non-Conventional Energy Sources, New Delhi (India). Solar Energy Centre

    1996-12-31T23:59:59.000Z

    India is a fast developing country. Some of the factors like population growth, industrialization, liberalization in economic policies, green revolution and awareness toward the environment, are increasing the electricity demand rapidly. As per the 14th Power Survey Report, an energy deficit of (+) 9% and peak demand deficit of (+) 18% have been estimated. Keeping in view the liberalization in economic policies, this deficit may be higher by the year 2000 AD. An estimation indicates that India is blessed with solar energy to the tune of 5 x 10{sup 15} kWh/yr. Being clean and inexhaustible source of energy, it can be used for large-scale power generation in the country. Keeping in view the present state-of-art technologies for STPG in MW range, best possible efforts are required to be made by all the concerned, to develop sustainable STPG technology of the future, specially for tropical regions. Standardization of vital equipment is an important aspect. There are a few required criteria like simple and robust technology, its transfer and adaptation in tropical climate conditions; high plant load factor without fossil-fired backup; availability of plant during evening peak and night hours; least use of fragile components, and capacity optimization for MW plants as per solar irradiance and environmental factors. In this paper, efforts have been made to compare the different STPG technologies. On the basis, of literature surveyed and studies carried out by the author, it may be stated that Central Receiver System technologies using molten salt and volumetric air receiver, along with molten salt and ceramic thermal storage respectively seems to be suitable and comparable in Indian context. Performance of SOLAR-TWO and PHOEBUS plants may be decisive.

  18. Development and application of a framework for technology and model selection under uncertainty

    E-Print Network [OSTI]

    Berkelmans, Ingrid (Ingrid M.)

    2010-01-01T23:59:59.000Z

    Technology selection is a complex decision problem that is often faced in process engineering. This has been a particularly important problem recently in the energy field, in which many new technologies have been proposed. ...

  19. Relationships between student achievement and levels of computer technology integration by Texas agriscience teachers

    E-Print Network [OSTI]

    Peake, Jason Boone

    2004-09-30T23:59:59.000Z

    development opportunities for agriscience teachers. This information will also assist secondary schools in making decisions regarding technology purchases for agriscience departments. Instructional technology researchers have worked since the 1960s to gain a...

  20. SOLAP technology: Merging business intelligence with geospatial technology for interactive spatio-temporal

    E-Print Network [OSTI]

    SOLAP technology: Merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data Sonia Rivest a,1 , Yvan Bédard a,, Marie-Josée Proulx a,1 , Martin Nadeau a,1 in Geospatial Databases for Decision Support, Centre for Research in Geomatics, Laval University, Quebec, Canada

  1. P.G. Ioannou and L.Y. Liu Advanced Construction Technology System ACTS Advanced Construction Technology System ACTS

    E-Print Network [OSTI]

    .G. Ioannou and L.Y. Liu Advanced Construction Technology System ­ ACTS 2 INTRODUCTION The rising cost, and to decrease costs. New technology provides a driving force to change decisions at the design stageP.G. Ioannou and L.Y. Liu Advanced Construction Technology System ­ ACTS 1 Advanced Construction

  2. Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Control and Optimization Meet the Smart Power Grid: Scheduling of Power Demands for Optimal Energy technologies to enforce sensible use of energy through effective demand load management. We envision a scenario con- sumer power demand requests with different power require- ments, durations, and deadlines

  3. ENVIRONMENTAL CHEMISTRY AND TECHNOLOGY PROGRAM University of Wisconsin-Madison

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    ­ Material damage · Ecosystem Impacts ­ Nutrients ­ Toxics · Climate Change #12;ENVIRONMENTAL CHEMISTRYENVIRONMENTAL CHEMISTRY AND TECHNOLOGY PROGRAM University of Wisconsin-Madison Optimizing University of Wisconsin-Madison #12;ENVIRONMENTAL CHEMISTRY AND TECHNOLOGY PROGRAM University of Wisconsin

  4. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General analysis, and public education in global environmental change. It seeks to provide leadership;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium

  5. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

    Tang, Victor, Ph.D. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    We explore corporate decisions and their solutions under uncertainty using engineering methods. Corporate decisions tend to be complex; they are interdisciplinary and defy programmable solutions. To address these challenges, ...

  6. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

  7. Investigating online decision-making styles

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15T23:59:59.000Z

    As one of the factors influencing consumers purchase behavior, decision-making styles are crucial for understanding consumer shopping behavior and for developing successful marketing strategies. Decision-making styles have been mainly viewed as a...

  8. Evaluation of information bundles in engineering decisions 

    E-Print Network [OSTI]

    Bakir, Niyazi Onur

    2004-11-15T23:59:59.000Z

    This dissertation addresses the question of choosing the best information alternative in engineering decisions. The decision maker maximizes his expected utility under uncertainty where both the action he takes and the state of the environment...

  9. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01T23:59:59.000Z

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  10. A study of compatibility in conjunction with implication based optimization and different forms of implications

    E-Print Network [OSTI]

    Koh, T Pinn Ronnie

    1999-01-01T23:59:59.000Z

    This research is a study of multilevel logic optimization based on a functional approach using ordered binary decision diagrams (OBDD). Compatibility relationships between internal nodes in a circuit are used in conjunction with implication based...

  11. Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs

    E-Print Network [OSTI]

    Amato, Chris

    This article presents the state-of-the-art in optimal solution methods for decentralized partially observable Markov decision processes (Dec-POMDPs), which are general models for collaborative multiagent planning under ...

  12. Distributed optimization under partial information using direct interaction: a methodology and applications

    E-Print Network [OSTI]

    Kim, Sun Woo

    2007-04-25T23:59:59.000Z

    This research proposes a methodology to solve distributed optimization problems where quasi-autonomous decision entities directly interact with each other for partial information sharing. In the distributed system we study the quasi-autonomy arising...

  13. Incremental costs and optimization of in-core fuel management of nuclear power plants

    E-Print Network [OSTI]

    Watt, Hing Yan

    1973-01-01T23:59:59.000Z

    This thesis is concerned with development of methods for optimizing the energy production and refuelling decision for nuclear power plants in an electric utility system containing both nuclear and fossil-fuelled stations. ...

  14. Decision-directed materials-accounting procedures: an overview

    SciTech Connect (OSTI)

    Shipley, J.P.

    1981-01-01T23:59:59.000Z

    With materials balances taken at intervals, methods for treating materials balance data and their use by safeguards decision-making are relatively straightforward. The emphasis on accounting in which balances may be drawn on a daily or weekly basis, raises anew questions in these two areas: (1) what is the most effective means of extracting the maximum amount of information; and (2) how should safeguards decision-makers use the results, and what impact does the decision process have on the analysis techniques. These questions lead to considering combinations of materials balances, which exposes a whole new set of concerns. For example, we must select the most appropriate combinations, which implies some consideration of possible diversion scenarios, such as abrupt or protracted. Control of the overall false-alarm rate is an important requisite of the composite procedure. Significant work has been done on loss estimators, but their role in the materials accounting decision process has only begun to be examined. Current criteria may require periodic statements with respect to materials loss; the analysis procedures must be structured to provide such information. This paper presents an overview of the current technology. Questions still to be answered are pointed out.

  15. Better Buildings Neighborhood Program Decision Tool

    Broader source: Energy.gov [DOE]

    Provides an overview of the development of the Better Buildings Neighborhood Program decision tool, purpose, and scope.

  16. Optimization Online - Optimality conditions for various efficient ...

    E-Print Network [OSTI]

    Truong Xuan Duc Ha

    2010-08-02T23:59:59.000Z

    Aug 2, 2010 ... Optimality conditions for various efficient solutions involving coderivatives: from set-valued optimization problems to set-valued equilibrium ...

  17. Optimization Online - Nonlinear Optimization Submissions - 2013

    E-Print Network [OSTI]

    Second-order necessary conditions in Pontryagin form for optimal control problems ... of Linear-Quadratic Optimal Control Problems for Two-Steps Systems

  18. Optimization Online - Nonlinear Optimization Submissions - 2014

    E-Print Network [OSTI]

    January 2014. Constrained Nonlinear Optimization New active set identification for general constrained optimization and minimax problems. Jin-bao Jian, Yi Liu.

  19. Technology diffusion of energy-related products in residential markets

    SciTech Connect (OSTI)

    Davis, L.J.; Bruneau, C.L.

    1987-05-01T23:59:59.000Z

    Acceptance of energy-related technologies by end residential consumers, manufacturers of energy-related products, and other influential intermediate markets such as builders will influence the potential for market penetration of innovative energy-related technologies developed by the Department of Energy, Office of Building and Community Systems (OBCS). In this report, Pacific Northwest Laboratory reviewed the available information on technology adoption, diffusion, and decision-making processes to provide OBCS with a background and understanding of the type of research that has previously been conducted on this topic. Insight was gained as to the potential decision-making criteria and motivating factors that influence the decision-maker(s) selection of new technologies, and some of the barriers to technology adoption faced by potential markets for OBCS technologies.

  20. Optimization Jason Courter

    E-Print Network [OSTI]

    Jodice, Patrick

    Optimization Jason Courter Foundations of Ecology #12;What is optimization? Maximization Minimization Optimization Natural Selection 1. Variation 2. Heritable Variation 3. Differential Reproduction #12;On Optimal use of a Patchy Environment · Robert MacArthur · Eric Pianka http

  1. Advanced Review Geometry optimization

    E-Print Network [OSTI]

    Schlegel, H. Bernhard

    Advanced Review Geometry optimization H. Bernhard Schlegel Geometry optimization is an important part of most quantum chemical calcu- lations. This article surveys methods for optimizing equilibrium geometries, lo- cating transition structures, and following reaction paths. The emphasis is on optimizations

  2. [SIAM conference on optimization

    SciTech Connect (OSTI)

    Not Available

    1992-05-10T23:59:59.000Z

    Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.

  3. 4, 20352071, 2007 Open-GIS decision

    E-Print Network [OSTI]

    HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C. Trifu et System Sciences Development of an Open-GIS decision aid system for ecological and economical management, France 2035 #12;HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C

  4. Electronic Discovery and the Adoption of Information Technology

    E-Print Network [OSTI]

    Tucker, Catherine Elizabeth

    After firms adopt electronic information and communication technologies, their decision-making leaves a trail of electronic information that may be more extensive and accessible than a paper trail. We ask how the expected ...

  5. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Linear, Cone and Semidefinite ... Optimization Online is supported by the Mathematical Optmization Society.

  6. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Combinatorial Optimization. 2000 · 2001 · 2002 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009 · 2010 · 2011

  7. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Integer Programming ... Optimization Online is supported by the Mathematical Optmization Society.

  8. Optimization Online - Digest Archive

    E-Print Network [OSTI]

    Optimization Online Digest Archive. Subscribe to the digest. ... Online is supported by the Mathematical Optmization Society. Mathematical Optimization Society.

  9. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Complementarity and ... Optimization Online is supported by the Mathematical Optmization Society.

  10. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Nonlinear Optimization. 2000 · 2001 · 2002 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009 · 2010 · 2011 ...

  11. Optimization Online - Coordinators

    E-Print Network [OSTI]

    Optimization Online submissions are electronically handled by a team of ... OR and Management Sciences / Integer Programming / Robust Optimization ...

  12. Robust optimization of dose schedules in radiotherapy

    E-Print Network [OSTI]

    Badri, Hamidreza; Leder, Kevin

    2015-01-01T23:59:59.000Z

    A major difficulty of choosing an optimal radiation schedule is the uncertainty of model parameters due to geometric and patient specific uncertainties. This paper proposes a method for determining the optimal fractionation schedule in the Linear Quadratic (LQ) model with multiple normal tissue toxicity constraints in the presence of uncertainties in model parameters. To this end, we assumed uncertainty in the LQ model can take two forms: (i) estimation errors for parameters of constant but unknown value, and (ii) stochasticity of random variables. For the unknown parameters, we formulated our problem as a conservative model whose solution is immune to the parameter drifts. When the underlying distributions of uncertain parameters are known, we developed a model which required the decision maker to specify a probability that determined the feasibility of normal tissues constraints and risk factor in the objective function. We proved that our problem can be solved efficiently through a decision variable transf...

  13. Understanding technology diffusion and market adoption through modeling : implications on strategy for demand-side energy firms

    E-Print Network [OSTI]

    Nath, Vivin

    2012-01-01T23:59:59.000Z

    Deregulation shaping the Electricity industry across the world is a systems challenge cutting across interdisciplinary fields of technology, economics, public policy, environment and sociology. Decision makers that shape ...

  14. Building Technologies Program - 1995 Annual Report

    E-Print Network [OSTI]

    Selkowitz, S.E.

    2010-01-01T23:59:59.000Z

    Design Tool for Small Commercial Buildings A DOE-funded industry/laboratory collaboration between the Passive Solardesign guidance for the optimal utiliza- tion of passive solar technologies in small commercial buildings.

  15. Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models

    E-Print Network [OSTI]

    Vedlitz, Arnold; Mintz, Alex; Redd, Steven B.; Liu, Xinsheng; Alston, Letitia T.

    2013-12-19T23:59:59.000Z

    . The computerized Decision Board records key features of the decision-making process: (a) the sequence in which decision makers acquire the information, (b) the number of items that respondents view for every alternative along every dimension, and (c) the amount... Decision Making Under Conditions of Uncertainty: Experimental Assessment of Decision Models March 31, 2003 ? March 31, 2005 This research was funded by the National Defense University Contract No. DABJ29-03-P-0084 INSTITUTE FOR SCIENCE...

  16. Matlab-based Optimization: Optimization Toolbox

    E-Print Network [OSTI]

    Crawford, T. Daniel

    Matlab-based Optimization: the Optimization Toolbox Gene Cliff (AOE/ICAM - ecliff@vt.edu ) 3:00pm Engineering ICAM: Interdisciplinary Center for Applied Mathematics 1 / 37 #12;Matlab's Optimization Toolbox Classifying Optimization Problems A Soup Can Example Intermezzo A Trajectory Example 2nd Trajectory Example

  17. Robust Optimization over Time A New Perspective on Dynamic Optimization Problems

    E-Print Network [OSTI]

    Yao, Xin

    the energy efficiency of turbine engines. Meanwhile, most of the real-world optimization problems are subject to various types of uncertainties. For example in stock markets, political and economical envi- ronments (NICAL), School of Computer Science and Technology, University of Science and Technology of China, Hefei

  18. Executive decision making processes and outcomes : structure and robustness

    E-Print Network [OSTI]

    Chacon, Vince

    2003-01-01T23:59:59.000Z

    Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of ...

  19. Event-driven multithreaded dynamic optimization

    E-Print Network [OSTI]

    Zhang, Weifeng

    2006-01-01T23:59:59.000Z

    Speci?c Optimizations . . . . . . . . . . . . . F.3. Trace Optimization Overhead . . . . . . . . . . . . . . .Dynamic Optimization . . . . . . .B. Optimizations with the

  20. Qualification of Innovative High Level Waste Pipeline Unplugging Technologies

    SciTech Connect (OSTI)

    McDaniel, D.; Gokaltun, S.; Varona, J.; Awwad, A.; Roelant, D.; Srivastava, R. [Applied Research Center, Florida International University, Miami, FL (United States)

    2008-07-01T23:59:59.000Z

    In the past, some of the pipelines have plugged during high level waste (HLW) transfers resulting in schedule delays and increased costs. Furthermore, pipeline plugging has been cited by the 'best and brightest' technical review as one of the major issues that can result in unplanned outages at the Waste Treatment Plant causing inconsistent operation. As the DOE moves toward a more active high level waste retrieval, the site engineers will be faced with increasing cross-site pipeline waste slurry transfers that will result in increased probability of a pipeline getting plugged. Hence, availability of a pipeline unplugging tool/technology is crucial to ensure smooth operation of the waste transfers and in ensuring tank farm cleanup milestones are met. FIU had earlier tested and evaluated various unplugging technologies through an industry call. Based on mockup testing, two technologies were identified that could withstand the rigors of operation in a radioactive environment and with the ability to handle sharp 90 elbows. We present results of the second phase of detailed testing and evaluation of pipeline unplugging technologies and the objective is to qualify these pipeline unplugging technologies for subsequent deployment at a DOE facility. The current phase of testing and qualification comprises of a heavily instrumented 3-inch diameter (full-scale) pipeline facilitating extensive data acquisition for design optimization and performance evaluation, as it applies to three types of plugs atypical of the DOE HLW waste. Furthermore, the data from testing at three different lengths of pipe in conjunction with the physics of the process will assist in modeling the unplugging phenomenon that will then be used to scale-up process parameters and system variables for longer and site typical pipe lengths, which can extend as much as up to 19,000 ft. Detailed information resulting from the testing will provide the DOE end-user with sufficient data and understanding of the technology, and its limitations to aid in the benefit-cost analysis for management decision whether to deploy the technology or to abandon the pipeline as has been done in the past. In conclusion: The ultimate objective of this study is to qualify NuVision's unplugging technology for use at Hanford. Experimental testing has been conducted using three pipeline lengths and three types of blockages. Erosion rates have been obtained and pressure data is being analyzed. An amplification of the inlet pressure has been observed along the pipeline and is the key to determining up to what pipe lengths the technology can be used without surpassing the site pressure limit. In addition, we will attempt to establish what the expected unplugging rates will be at the longer pipe lengths for each of the three blockages tested. Detailed information resulting from the testing will provide the DOE end-user with sufficient data and understanding of the technology, and its limitations so that management decisions can be made whether the technology has a reasonable chance to successfully unplug a pipeline, such as a cross site transfer line or process transfer pipeline at the Waste Treatment Plant. (authors)

  1. Decision support for integrated water-energy planning.

    SciTech Connect (OSTI)

    Tidwell, Vincent Carroll; Malczynski, Leonard A.; Kobos, Peter Holmes; Castillo, Cesar; Hart, William Eugene; Klise, Geoffrey T.

    2009-10-01T23:59:59.000Z

    Currently, electrical power generation uses about 140 billion gallons of water per day accounting for over 39% of all freshwater withdrawals thus competing with irrigated agriculture as the leading user of water. Coupled to this water use is the required pumping, conveyance, treatment, storage and distribution of the water which requires on average 3% of all electric power generated. While water and energy use are tightly coupled, planning and management of these fundamental resources are rarely treated in an integrated fashion. Toward this need, a decision support framework has been developed that targets the shared needs of energy and water producers, resource managers, regulators, and decision makers at the federal, state and local levels. The framework integrates analysis and optimization capabilities to identify trade-offs, and 'best' alternatives among a broad list of energy/water options and objectives. The decision support framework is formulated in a modular architecture, facilitating tailored analyses over different geographical regions and scales (e.g., national, state, county, watershed, NERC region). An interactive interface allows direct control of the model and access to real-time results displayed as charts, graphs and maps. Ultimately, this open and interactive modeling framework provides a tool for evaluating competing policy and technical options relevant to the energy-water nexus.

  2. areas final decision: Topics by E-print Network

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

    Ulm, Universitt 234 Multiattribute Decision Making by Sequential Resource Allocation Power Transmission, Distribution and Plants Websites Summary: Multiattribute Decision...

  3. Simulation of human decision making

    DOE Patents [OSTI]

    Forsythe, J. Chris (Sandia Park, NM); Speed, Ann E. (Albuquerque, NM); Jordan, Sabina E. (Albuquerque, NM); Xavier, Patrick G. (Albuquerque, NM)

    2008-05-06T23:59:59.000Z

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  4. Optimal Waterflood Management under Geologic Uncertainty Using Rate Control: Theory and Field Applications

    E-Print Network [OSTI]

    Alhuthali, Ahmed Humaid H.

    2010-01-16T23:59:59.000Z

    Waterflood optimization via rate control is receiving increased interest because of rapid developments in the smart well completions and I-field technology. The use of inflow control valves (ICV) allows us to optimize the production/injection rates...

  5. ANALYSIS AND OPTIMIZATION USING NUMERICAL AND EXPERIMENTAL EVALUATION METHODS FOR MULTIDISCIPLINARY DESIGN PROBLEMS

    E-Print Network [OSTI]

    Oh, Bong T.

    2010-01-16T23:59:59.000Z

    The Multidisciplinary Design Optimization (MDO) system is needed to reduce the developing time and production cost in most industries. The MDO is the new technology for optimization design, and considers solid mechanics, dynamics, kinematics...

  6. Technology shapes every facet of modern life. Familiarity with the characteristics,

    E-Print Network [OSTI]

    Ge, Qiaode Jeff

    Technology shapes every facet of modern life. Familiarity with the characteristics, capabilities, and limitations of current and emerging technologies is indispen- sable to wise and effective decisions and address the problems that technology often presents. Technologi- cal developments are indeed re

  7. Technical descriptions of ten irrigation technologies for conserving energy

    SciTech Connect (OSTI)

    Harrer, B.J.; Wilfert, G.L.

    1983-05-01T23:59:59.000Z

    Technical description of ten technologies which were researched to save energy in irrigated agriculture are presented. These technologies are: well design and development ground water supply system optimization, column and pump redesign, variable-speed pumping, pipe network optimization, reduced-pressure center-pivot systems, low-energy precision application, automated gated-pipe system, computerized irrigation scheduling, and instrumented irrigation scheduling. (MHR)

  8. Emerging energy-efficient industrial technologies

    SciTech Connect (OSTI)

    Martin, N.; Worrell, E.; Ruth, M.; Price, L.; Elliott, R.N.; Shipley, A.M.; Thorne, J.

    2000-10-01T23:59:59.000Z

    U.S. industry consumes approximately 37 percent of the nation's energy to produce 24 percent of the nation's GDP. Increasingly, industry is confronted with the challenge of moving toward a cleaner, more sustainable path of production and consumption, while increasing global competitiveness. Technology will be essential for meeting these challenges. At some point, businesses are faced with investment in new capital stock. At this decision point, new and emerging technologies compete for capital investment alongside more established or mature technologies. Understanding the dynamics of the decision-making process is important to perceive what drives technology change and the overall effect on industrial energy use. The assessment of emerging energy-efficient industrial technologies can be useful for: (1) identifying R&D projects; (2) identifying potential technologies for market transformation activities; (3) providing common information on technologies to a broad audience of policy-makers; and (4) offering new insights into technology development and energy efficiency potentials. With the support of PG&E Co., NYSERDA, DOE, EPA, NEEA, and the Iowa Energy Center, staff from LBNL and ACEEE produced this assessment of emerging energy-efficient industrial technologies. The goal was to collect information on a broad array of potentially significant emerging energy-efficient industrial technologies and carefully characterize a sub-group of approximately 50 key technologies. Our use of the term ''emerging'' denotes technologies that are both pre-commercial but near commercialization, and technologies that have already entered the market but have less than 5 percent of current market share. We also have chosen technologies that are energy-efficient (i.e., use less energy than existing technologies and practices to produce the same product), and may have additional ''non-energy benefits.'' These benefits are as important (if not more important in many cases) in influencing the decision on whether to adopt an emerging technology. The technologies were characterized with respect to energy efficiency, economics, and environmental performance. The results demonstrate that the United States is not running out of technologies to improve energy efficiency and economic and environmental performance, and will not run out in the future. We show that many of the technologies have important non-energy benefits, ranging from reduced environmental impact to improved productivity and worker safety, and reduced capital costs.

  9. The optimization problem Genetic Algorithm

    E-Print Network [OSTI]

    Giménez, Domingo

    The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results for time-power optimization META, October 27-31, 2014 1 / 25 #12;The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results Conclusions Time and energy optimization Traditionally

  10. Industrial Optimization Compact Course

    E-Print Network [OSTI]

    Kirches, Christian

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

  11. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high' level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the glue'' or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  12. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high` level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the ``glue`` or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  13. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard, Canada E-mail: jaccard@sfu.ca Hybrid energyYeconomy models combine the advantages of a technologically parameters translate into the behavioral parameters of a hybrid model. We then simulate household energy

  14. Department of Engineering Technology Technology Education

    E-Print Network [OSTI]

    Bieber, Michael

    Department of Engineering Technology Technology Education A Teacher Education Program New Jersey Institute of Technology #12;WHAT WILL YOU LEARN? Technology teachers teach problem-based learning utilizing math, science and technology principles. Technological studies involve students: · Designing

  15. Optimal Code Assignment and Call Admission Control for OVSF-CDMA Systems Constrained by Blocking Probabilities

    E-Print Network [OSTI]

    Lee, Daniel C.

    the Markov Decision Process and linear programming. The performance of each scheme is numerically evaluatedOptimal Code Assignment and Call Admission Control for OVSF-CDMA Systems Constrained by Blocking code assignment schemes for OVSF-CDMA systems is investigated, and the optimal fixed and dynamic code

  16. Complexity and Performance Tradeoffs of Near-Optimal Detectors for Cooperative ISI

    E-Print Network [OSTI]

    Klein, Andrew G.

    Complexity and Performance Tradeoffs of Near-Optimal Detectors for Cooperative ISI Channels Yanjie in intersymbol in- terference (ISI) channels. The implementation complexity of the optimal detector scales, and performance for cooperative relays in ISI channels. We first explore use of a decision feedback sequence

  17. FUEL CELL TECHNOLOGIES PROGRAM Safety, Codes, and

    E-Print Network [OSTI]

    . Many odorants can also contaminate fuel cells. Hydrogen burns very quickly. Under optimal combustionFUEL CELL TECHNOLOGIES PROGRAM Safety, Codes, and Standards Hydrogen and fuel cell technologies, nuclear, natural gas, and coal with carbon sequestration. Fuel cells provide a highly efficient means

  18. Distributed Energy Technology Characterization (Desiccant Technologies...

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

    Characterization (Desiccant Technologies), January 2004 Distributed Energy Technology Characterization (Desiccant Technologies), January 2004 The purpose of this report is to...

  19. Optimal Algorithms for GSM Viterbi Modules M.Sc. Student

    E-Print Network [OSTI]

    design of the 3rd-Generation Global System for Mobile communica- tions(GSM 3G) unit's channel code soft-decision bits. The power and area optimization is only considered at the algorithm communication methodology . . . . . . . . . . . . . . . . . . . . . . . . 16 2.1.1 Data transmission

  20. Contributed Paper Optimal Allocation of Resources among Threatened

    E-Print Network [OSTI]

    Queensland, University of

    and possibly unnecessary losses. We devised a project prioritization protocol (PPP) to optimize resource and the expected benefits gained with 5 prioritization criteria: PPP with weightings based on species value; PPP of a transparent decision-making process, which enables a careful consideration of trade-offs. The use of PPP can

  1. OPTIMAL EXPERIMENTAL DESIGN FOR MODELING BATTERY DEGRADATION Joel C. Forman

    E-Print Network [OSTI]

    Krstic, Miroslav

    , battery health dependence on voltage, and a lack of power fade under the cy- cling conditions. The useOPTIMAL EXPERIMENTAL DESIGN FOR MODELING BATTERY DEGRADATION Joel C. Forman Mechanical Engineering.edu ABSTRACT Accurate battery health modeling allows one to make better design decisions, enables health

  2. Datacenter Net Profit Optimization with Deadline Dependent Pricing

    E-Print Network [OSTI]

    Fisher, Kathleen

    Datacenter Net Profit Optimization with Deadline Dependent Pricing Wei Wang1, Peng Zhang1, Tian Lan - Research, Florham Park, NJ 07932, USA Abstract--This paper considers deadline dependent pricing and its decisions. Lever- aging a new approximation method for job completion time, we develop two low

  3. A Comparison of Derivative-Free Optimization Methods for Groundwater

    E-Print Network [OSTI]

    Kelley, C. T. "Tim"

    A Comparison of Derivative-Free Optimization Methods for Groundwater Supply and Hydraulic Capture, 244 Wood Street, Lexington, MA 02420-9108 USA Abstract Management decisions involving groundwater-documented community problems are used for illustration purposes: a groundwater supply problem and a hydraulic capture

  4. Optimization and geophysical inverse problems

    E-Print Network [OSTI]

    Barhen, J.

    2008-01-01T23:59:59.000Z

    for Unconstrained Optimization and Nonlinear Equations,equality constrained optimization, SIAM J. Optim. , 7, 28.R. , Practical Methods of Optimization, Wiley, New York, 436

  5. Step decision rules for multistage stochastic programming

    E-Print Network [OSTI]

    Julien Th ni

    2006-08-08T23:59:59.000Z

    Aug 8, 2006 ... The second idea is to have each expert work with step decision rules. ... OR and Management Sciences (Supply Chain Management ). Citation: ...

  6. Examining Decision-Making Regarding Environmental Information

    SciTech Connect (OSTI)

    Marble, Julie Lynne; Medema, Heather Dawne; Hill, Susan Gardiner

    2001-10-01T23:59:59.000Z

    Eight participants were asked to view a computer-based multimedia presentation on an environmental phenomenon. Participants were asked to play a role as a senior aide to a national legislator. In this role, they were told that the legislator had asked them to review a multimedia presentation regarding the hypoxic zone phenomenon in the Gulf of Mexico. Their task in assuming the role of a senior aide was to decide how important a problem this issue was to the United States as a whole, and the proportion of the legislator’s research budget that should be devoted to study of the problem. The presentation was divided into 7 segments, each containing some new information not contained in the previous segments. After viewing each segment, participants were asked to indicate how close they were to making a decision and how certain they were that their current opinion would be their final decision. After indicating their current state of decision-making, participants were interviewed regarding the factors affecting their decision-making. Of interest was the process by which participants moved toward a decision. This experiment revealed a number of possible directions for future research. There appeared to be two approaches to decision-making: Some decision-makers moved steadily toward a decision, and occasionally reversed decisions after viewing information, while others abruptly reached a decision after a certain time period spent reviewing the information. Although the difference in estimates of distance to decisions did not differ statistically for these two groups, that difference was reflected in the participants’ estimates of confidence that their current opinion would be their final decision. The interviews revealed that the primary difference between these two groups was in their trade-offs between willingness to spend time in information search and the acquisition of new information. Participants who were less confident about their final decision, tended to be the same group of participants who moved slowly toward a decision. These participants also tended to indicate that acquisition of information was more critical than the amount of time spent on the information search. The second group tended to form a set of specific questions for which they desired specific answers. This group was more likely to demonstrate a significant reduction in their distance to a decision much earlier than the first group. In addition, this group tended to be very confident of their final decision and indicated that time spent in information search was more critical than obtaining new information. They indicated that the value of information obtained must remain high to justify the extensive time spent in information search.

  7. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  8. 5(b)/9(c) Record of Decision

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

    Revised Policy on Determining Net Requirements of Pacific Northwest Utility Customers Under Sections 5(b)(1) and 9(c) of the Northwest Power Act Administrator's Record of Decision...

  9. Optimization Online - RBFOpt: an open-source library for black-box ...

    E-Print Network [OSTI]

    Alberto Costa

    2014-09-12T23:59:59.000Z

    Sep 12, 2014 ... RBFOpt: an open-source library for black-box optimization with costly ... Citation: Singapore University of Technology and Design, 09/2014.

  10. Model-Based Control and Optimization of Large Scale Physical Systems -Challenges in Reservoir Engineering

    E-Print Network [OSTI]

    Van den Hof, Paul

    needs to increase efficiency in oil recovery from subsurface reservoirs new technology is devel- oped challenge to rationalize the decision processes. With newly developed technology for drilling wells and in for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands E-mail: p

  11. Vehicle Technologies Office: 2014 Electric Drive Technologies...

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

    Electric Drive Technologies Annual Progress Report Vehicle Technologies Office: 2014 Electric Drive Technologies Annual Progress Report The Electric Drive Technologies research and...

  12. Essays on optimal taxation

    E-Print Network [OSTI]

    Reis, Catarina (Catarina Luis Monteiro dos)

    2007-01-01T23:59:59.000Z

    This thesis studies the optimal income tax scheme in four different settings. Chapter 1 focuses on the implications of lack of commitment for the optimal labor and capital income tax rates. It finds that it is optimal to ...

  13. Compiler Optimization Jordan Bradshaw

    E-Print Network [OSTI]

    Valtorta, Marco

    Compiler Optimization Jordan Bradshaw #12;Outline Overview Goals and Considerations ­ Scope. 346- 352. Print. "Compiler Optimization." Wikipedia. Wikimedia Foundation, 25 04 2010. Web. 25 Apr 2010. #12;Compiler Optimization Goals: ­ Speed

  14. Pessimistic Bilevel Optimization

    E-Print Network [OSTI]

    Wiesemann, Wolfram

    We study a variant of the pessimistic bilevel optimization problem, which comprises constraints that must be satisfied for any optimal solution of a subordinate (lower-level) optimization problem. We present conditions ...

  15. Timelines for mitigating methane emissions from energy technologies

    E-Print Network [OSTI]

    Roy, Mandira; Trancik, Jessika E

    2015-01-01T23:59:59.000Z

    Energy technologies emitting differing proportions of methane and carbon dioxide vary in their relative climate impacts over time, due to the different atmospheric lifetimes of the two gases. Standard technology comparisons using the global warming potential (GWP) emissions equivalency metric do not reveal these dynamic impacts, and may not provide the information needed to assess technologies and emissions mitigation opportunities in the context of broader climate policy goals. Here we formulate a portfolio optimization model that incorporates changes in technology impacts as a radiative forcing (RF) stabilization target is approached. An optimal portfolio, maximizing allowed energy consumption while meeting the RF target, is obtained by year-wise minimization of the marginal RF impact in an intended stabilization year. The optimal portfolio calls for using certain higher methane-emitting technologies prior to an optimal switching year, followed by methane-light technologies as the stabilization year approac...

  16. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

    Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in ... Impulsive Optimal Control of Hybrid Finite-Dimensional Lagrangian Systems ... Incremental-like Bundle Methods with Application to Energy Planning

  17. Evidence-based Decision Making: Influences on Central-Office Administrators' Decision-Making Practices

    E-Print Network [OSTI]

    Haecker, Bonnie Minnia

    2013-12-05T23:59:59.000Z

    administrators across the state of Texas were surveyed to obtain information about their evidence-based decision-making practices and the factors that influenced them when making decisions about interventions for their districts. The purpose...

  18. Optimization Online - Optimization Software and Modeling Systems ...

    E-Print Network [OSTI]

    Optimization Software and Modeling Systems Submissions - 2009. March 2009. Modeling Languages and Systems A Structure-Conveying Modelling Language ...

  19. Optimization Online - Stochastic Topology Design Optimization for ...

    E-Print Network [OSTI]

    Miguel Carrasco

    2014-07-08T23:59:59.000Z

    Jul 8, 2014 ... Computer Methods in Applied Mechanics and Engineering. Elsevier. Accepted. 2015 ... Optmization Society. Mathematical Optimization Society.

  20. Optimization Online - Machine Learning for Global Optimization

    E-Print Network [OSTI]

    Andrea Cassioli

    2009-07-23T23:59:59.000Z

    Jul 23, 2009 ... We propose to use a Support Vector Machine (although different machine ... Citation: Technical report - Global Optimization Laboratory, ...

  1. Adaptive hybrid optimal quantum control for imprecisely characterized systems

    E-Print Network [OSTI]

    D. J. Egger; F. K. Wilhelm

    2014-06-24T23:59:59.000Z

    Optimal quantum control theory carries a huge promise for quantum technology. Its experimental application, however, is often hindered by imprecise knowledge of the its input variables, the quantum system's parameters. We show how to overcome this by Adaptive Hybrid Optimal Control (Ad-HOC). This protocol combines open- and closed-loop optimal by first performing a gradient search towards a near-optimal control pulse and then an experimental fidelity measure with a gradient-free method. For typical settings in solid-state quantum information processing, Ad-Hoc enhances gate fidelities by an order of magnitude hence making optimal control theory applicable and useful.

  2. Technology '90

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    The US Department of Energy (DOE) laboratories have a long history of excellence in performing research and development in a number of areas, including the basic sciences, applied-energy technology, and weapons-related technology. Although technology transfer has always been an element of DOE and laboratory activities, it has received increasing emphasis in recent years as US industrial competitiveness has eroded and efforts have increased to better utilize the research and development resources the laboratories provide. This document, Technology '90, is the latest in a series that is intended to communicate some of the many opportunities available for US industry and universities to work with the DOE and its laboratories in the vital activity of improving technology transfer to meet national needs. Technology '90 is divided into three sections: Overview, Technologies, and Laboratories. The Overview section describes the activities and accomplishments of the DOE research and development program offices. The Technologies section provides descriptions of new technologies developed at the DOE laboratories. The Laboratories section presents information on the missions, programs, and facilities of each laboratory, along with a name and telephone number of a technology transfer contact for additional information. Separate papers were prepared for appropriate sections of this report.

  3. Beyond Optimality: New Trends in Network Optimization

    E-Print Network [OSTI]

    Chiang, Mung

    , Princeton IEEE SAM Workshop July 2008 #12;Optimization Beyond Optimality Very different uses of optimization. Robustness to stochastic dynamics · IV. Feedback to engineering assumptions · V. Complexity Not much #12;Stochastic Noisy Feedback 0 5000 10000 15000 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Iteration Flowrate

  4. Manipulating decision making of typical agents

    E-Print Network [OSTI]

    V. I. Yukalov; D. Sornette

    2014-09-02T23:59:59.000Z

    We investigate how the choice of decision makers can be varied under the presence of risk and uncertainty. Our analysis is based on the approach we have previously applied to individual decision makers, which we now generalize to the case of decision makers that are members of a society. The approach employs the mathematical techniques that are common in quantum theory, justifying our naming as Quantum Decision Theory. However, we do not assume that decision makers are quantum objects. The techniques of quantum theory are needed only for defining the prospect probabilities taking into account such hidden variables as behavioral biases and other subconscious feelings. The approach describes an agent's choice as a probabilistic event occurring with a probability that is the sum of a utility factor and of an attraction factor. The attraction factor embodies subjective and unconscious dimensions in the mind of the decision maker. We show that the typical aggregate amplitude of the attraction factor is $1/4$, and it can be either positive or negative depending on the relative attraction of the competing choices. The most efficient way of varying the decision makers choice is realized by influencing the attraction factor. This can be done in two ways. One method is to arrange in a special manner the payoff weights, which induces the required changes of the values of attraction factors. We show that a slight variation of the payoff weights can invert the sign of the attraction factors and reverse the decision preferences, even when the prospect utilities remain unchanged. The second method of influencing the decision makers choice is by providing information to decision makers. The methods of influencing decision making are illustrated by several experiments, whose outcomes are compared quantitatively with the predictions of our approach.

  5. Optimization Online Moderation Policy

    E-Print Network [OSTI]

    Optimization Online Copyright Policy Copyright Policy By submitting a paper, all authors of the paper agree that other users of Optimization Online can download

  6. The optimal prediction method

    E-Print Network [OSTI]

    Burin des Roziers, T.

    2011-01-01T23:59:59.000Z

    Mathematics. In optimal prediction. Communications press,and R. Kupferman. On the prediction of large- scale dynamicsand D. Levy. Optimal prediction and pertur- bation theory.

  7. Goal Driven Optimization

    E-Print Network [OSTI]

    2006-05-27T23:59:59.000Z

    The framework of stochastic optimization can also be adopted to address downside risk by optimizing over an expected utility or more recently, a mean risk

  8. Optimization Online - Digest

    E-Print Network [OSTI]

    Complete the form below to subscribe to the free Optimization Online Digest. ... Type your e-mail address to unsubscribe from the Optimization Online Digest.

  9. Optimization Online - Category Archive

    E-Print Network [OSTI]

    Optimization Online. Browse Submissions By Area. Global Optimization. 2000 · 2001 · 2002 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009 · 2010 · 2011 · 2012

  10. Optimal refrigerator

    E-Print Network [OSTI]

    Armen E. Allahverdyan; Karen Hovhannisyan; Guenter Mahler

    2010-07-25T23:59:59.000Z

    We study a refrigerator model which consists of two $n$-level systems interacting via a pulsed external field. Each system couples to its own thermal bath at temperatures $T_h$ and $T_c$, respectively ($\\theta\\equiv T_c/T_hrefrigerator functions in two steps: thermally isolated interaction between the systems driven by the external field and isothermal relaxation back to equilibrium. There is a complementarity between the power of heat transfer from the cold bath and the efficiency: the latter nullifies when the former is maximized and {\\it vice versa}. A reasonable compromise is achieved by optimizing the product of the heat-power and efficiency over the Hamiltonian of the two system. The efficiency is then found to be bounded from below by $\\zeta_{\\rm CA}=\\frac{1}{\\sqrt{1-\\theta}}-1$ (an analogue of the Curzon-Ahlborn efficiency), besides being bound from above by the Carnot efficiency $\\zeta_{\\rm C} = \\frac{1}{1-\\theta}-1$. The lower bound is reached in the equilibrium limit $\\theta\\to 1$. The Carnot bound is reached (for a finite power and a finite amount of heat transferred per cycle) for $\\ln n\\gg 1$. If the above maximization is constrained by assuming homogeneous energy spectra for both systems, the efficiency is bounded from above by $\\zeta_{\\rm CA}$ and converges to it for $n\\gg 1$.

  11. Variational principle for optimal accelerated neutralized flow A. Fruchtman

    E-Print Network [OSTI]

    Variational principle for optimal accelerated neutralized flow A. Fruchtman Holon Academic Institute of Technology, 52 Golomb Street, P.O. Box 305, Holon 58102, Israel N. J. Fisch Princeton Plasma

  12. Robust Energy Cost Optimization of Water Distribution System with ...

    E-Print Network [OSTI]

    2011-02-21T23:59:59.000Z

    Energy cost optimization of a water-supply network is a very important practical .... nonlinear equations for energy conservation. .... [water balance equations] ...... Israel Institute of Technology, Technion, Technion City, Haifa 32000, Israel.

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

    E-Print Network [OSTI]

    Nathanael, Rhesa

    2012-01-01T23:59:59.000Z

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

  14. Bottom-up, decision support system development : a wetlandsalinity management application in California's San Joaquin Valley

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10T23:59:59.000Z

    Seasonally managed wetlands in the Grasslands Basin ofCalifornia's San Joaquin Valley provide food and shelter for migratorywildfowl during winter months and sport for waterfowl hunters during theannual duck season. Surface water supply to these wetland contain saltwhich, when drained to the San Joaquin River during the annual drawdownperiod, negatively impacts downstream agricultural riparian waterdiverters. Recent environmental regulation, limiting discharges salinityto the San Joaquin River and primarily targeting agricultural non-pointsources, now addresses return flows from seasonally managed wetlands.Real-time water quality management has been advocated as a means ofmatching wetland return flows to the assimilative capacity of the SanJoaquin River. Past attempts to build environmental monitoring anddecision support systems to implement this concept have failed forreasons that are discussed in this paper. These reasons are discussed inthe context of more general challenges facing the successfulimplementation of environmental monitoring, modelling and decisionsupport systems. The paper then provides details of a current researchand development project which will ultimately provide wetland managerswith the means of matching salt exports with the available assimilativecapacity of the San Joaquin River, when fully implemented. Manipulationof the traditional wetland drawdown comes at a potential cost to thesustainability of optimal wetland moist soil plant habitat in thesewetlands - hence the project provides appropriate data and a feedback andresponse mechanism for wetland managers to balance improvements to SanJoaquin River quality with internally-generated information on the healthof the wetland resource. The author concludes the paper by arguing thatthe architecture of the current project decision support system, whencoupled with recent advances in environmental data acquisition, dataprocessing and information dissemination technology, holds significantpromise to address some of the problems described earlier in the paperthat have limited past efforts to improve Basin water qualitymanagement.

  15. COMMISSION DECISION of 9 December 2010

    E-Print Network [OSTI]

    Brierley, Andrew

    COMMISSION DECISION of 9 December 2010 amending Decision C(2007) 2286 on the adoption of ERC Rules) (2010/767/EU) THE EUROPEAN COMMISSION, Having regard to the Treaty on the Functioning of the European 2007, the Commission adopted the rules for the submission of proposals to the European Research Council

  16. Decision Support for Choice of Security

    E-Print Network [OSTI]

    Langseth, Helge

    Decision Support for Choice of Security Solution The Aspect-Oriented Risk Driven Development (AORDD decisions. (4) RDD annotation rules for security risk and security solution variable estimation. (5) The AORDD security solution trade-o¤ analysis and trade-o¤ tool BBN topology. (6) Rule set for how

  17. Puerto Rico Disaster Decision Support Tool

    E-Print Network [OSTI]

    Firestone, Jeremy

    Puerto Rico Disaster Decision Support Tool: An innovative step towards community resilience Support Tool Pilot Internet-based scalable mapping server Emergency management geo-referenced information for all municipalities in Puerto Rico #12;Disaster Decision Support Tool (DDST) What is a GIS

  18. Preferences, Information, and Group Decision Making

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  19. Preferences, Information, and Group Decision Making 

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15T23:59:59.000Z

    This study will examine how the structure of preferences of group members in a decision-making group, as well as the information they have, affects the collection and the processing of information by individual members of a decision making group...

  20. Reliable Distributed Computing for Decision Support Systems

    E-Print Network [OSTI]

    Bargiela, Andrzej

    Reliable Distributed Computing for Decision Support Systems Taha Osman, Andrzej Bargiela Department of application tasks on the currently avail- able computing nodes. Distributed Systems Reliability Due decision-support systems such as water distribution net- works, involving hundreds or even thousands

  1. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    1 Algorithmic Decision Theory and the Smart Grid Fred Roberts Rutgers University #12;2 Algorithmic Conference on ADT ­ probably Belgium in Fall 2013. #12;9 ADT and Smart Grid ·Many of the following ideas and planning dating at least to World War II. ·But: algorithms to speed up and improve real-time decision

  2. ICPP radioactive liquid and calcine waste technologies evaluation. Interim report

    SciTech Connect (OSTI)

    Murphy, J.A.; Pincock, L.F.; Christiansen, I.N.

    1994-06-01T23:59:59.000Z

    The Department of Energy (DOE) has received spent nuclear fuel (SNF) at the Idaho Chemical Processing Plant (ICPP) for interim storage since 1951 and reprocessing since 1953. Until recently, the major activity of the ICPP has been the reprocessing of SNF to recover fissile uranium; however, changing world events have raised questions concerning the need to recover and recycle this material. In April 1992, DOE chose to discontinue reprocessing SNF for uranium recovery and shifted its focus toward the management and disposition of radioactive wastes accumulated through reprocessing activities. Currently, 1.8 million gallons of radioactive liquid wastes (1.5 million gallons of radioactive sodium-bearing liquid wastes and 0.3 million gallons of high-level liquid waste) and 3,800 cubic meters (m{sup 3}) of calcine waste are in inventory at the ICPP. Legal drivers and agreements exist obligating the INEL to develop, demonstrate, and implement technologies for safe and environmentally sound treatment and interim storage of radioactive liquid and calcine waste. Candidate treatment processes and waste forms are being evaluated using the Technology Evaluation and Analysis Methodology (TEAM) Model. This process allows decision makers to (1) identify optimum radioactive waste treatment and disposal form alternatives; (2) assess tradeoffs between various optimization criteria; (3) identify uncertainties in performance parameters; and (4) focus development efforts on options that best satisfy stakeholder concerns. The Systems Analysis technology evaluation presented in this document supports the DOE in selecting the most effective radioactive liquid and calcine waste management plan to implement in compliance with established regulations, court orders, and agreements.

  3. Deriving Optimal Operational Rules for Mitigating Inter-area Oscillations

    SciTech Connect (OSTI)

    Diao, Ruisheng; Huang, Zhenyu; Zhou, Ning; Chen, Yousu; Tuffner, Francis K.; Fuller, Jason C.; Jin, Shuangshuang; Dagle, Jeffery E.

    2011-05-23T23:59:59.000Z

    This paper introduces a new method to mitigate inter-area oscillations of a large scale interconnected power system by means of generation re-dispatch. The optimal operational control procedures are derived as the shortest distance from the current operating condition to a desired damping ratio of the oscillation mode by adjusting generator outputs. A sensitivity based method is used to select the most effective generators for generation re-dispatch and decision tree is trained to approximate the security boundary in a space characterized by the selected generators. The optimal operational rules can be found by solving an optimization problem where the boundary constraints are provided by the decision tree rules. This method is tested on a Western Electricity Coordinating Council (WECC) 179-bus simplified network model and simulation results have demonstrated the proof of concept and shown promising application in real time operation.

  4. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions 

    E-Print Network [OSTI]

    Zhang, Liqing

    2011-07-01T23:59:59.000Z

    Peters August 2011 Major Subject: Industrial Engineering iii ABSTRACT Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions. (August 2011) Liqing Zhang, B.S.; M.S., Tsinghua University, P.R. China Chair... An Illustration of (Q,~s, ~S) Policy ( m = ? s1n?Qn C ? + 1 ) . . . . . . . . 52 5 Optimal Policies for Special Case . . . . . . . . . . . . . . . . . . . . 71 6 Influence of Parameter K . . . . . . . . . . . . . . . . . . . . . . . . 74 7 Influence...

  5. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions

    SciTech Connect (OSTI)

    Bohn, M P [Sandia National Labs., Albuquerque, NM (United States)] [Sandia National Labs., Albuquerque, NM (United States)

    1992-12-01T23:59:59.000Z

    As part of the NRC-sponsored program to study the implications of Generic Issue 57, Effects of Fire Protection System Actuation on Safety-Related Equipment,'' a subtask was performed to evaluate the applicability of formal decision analysis methods to generic issues cost/benefit-type decisions and to apply these methods to the GI-57 results. In this report, the numerical results obtained from the analysis of three plants (two PWRs and one BWR) as developed in the technical resolution program for GI-57 were studied. For each plant, these results included a calculation of the person-REM averted due to various accident scenarios and various proposed modifications to mitigate the accident scenarios identified. These results were recomputed to break out the benefit in terms of contributions due to random event scenarios, fire event scenarios, and seismic event scenarios. Furthermore, the benefits associated with risk (in terms of person-REM) averted from earthquakes at three different seismic ground motion levels were separately considered. Given this data, formal decision methodologies involving decision trees, value functions, and utility functions were applied to this basic data. It is shown that the formal decision methodology can be applied at several different levels. Examples are given in which the decision between several retrofits is changed from that resulting from a simple cost/benefit-ratio criterion by virtue of the decision-makinger's expressed (and assumed) preferences.

  6. Optimal Energy Storage Control Policies for the Smart Power Grid

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Optimal Energy Storage Control Policies for the Smart Power Grid Iordanis Koutsopoulos Vassiliki Center for Research and Technology Hellas (CERTH), Greece Abstract--Electric energy storage devices the optimal energy storage control problem from the side of the utility operator. The operator controller

  7. Hierarchical Economic Optimization of Oil Production from Petroleum Reservoirs

    E-Print Network [OSTI]

    Van den Hof, Paul

    Hierarchical Economic Optimization of Oil Production from Petroleum Reservoirs Gijs M. van Essen-dirk.jansen@shell.com). Abstract: In oil production waterflooding is a popular recovery technology, which involves the injection daily production is generally neglected. To resolve this, a hierarchical optimization structure

  8. OPTIMAL CONTROL WITH PACKET DROPS IN NETWORKED CONTROL SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    OPTIMAL CONTROL WITH PACKET DROPS IN NETWORKED CONTROL SYSTEMS Flavia Felicioni*, François Simonot optimization 1. INTRODUCTION1 With the progress of networking technology, more and more control systems are now: The stability and performance of a networked control system are strongly influenced by the network delay

  9. CC Retrofits and Optimal Controls for Hot Water Systems

    E-Print Network [OSTI]

    Wu, L.; Liu, M.; Wang, G.

    2007-01-01T23:59:59.000Z

    Continuous Commissioning (CC) technologies, three old boilers (13.39 MMBH each) were replaced by three new boilers (1.675 MMBH each) and hot water pumps. Optimal controls for the hot water systems included optimal hot water temperature reset, hot water pump...

  10. Optimization and heat and water integration for biodiesel production

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimization and heat and water integration for biodiesel production from cooking oil generation of biodiesel using waste cooking oil and algae oil. We consider 5 different technologies is to simultaneously optimize and heat integrate the production of biodiesel from each of the different oil sources

  11. Combined Municipal Solid Waste and biomass system optimization for district energy applications

    SciTech Connect (OSTI)

    Rentizelas, Athanasios A., E-mail: arent@central.ntua.gr; Tolis, Athanasios I., E-mail: atol@central.ntua.gr; Tatsiopoulos, Ilias P., E-mail: itat@central.ntua.gr

    2014-01-15T23:59:59.000Z

    Highlights: • Combined energy conversion of MSW and agricultural residue biomass is examined. • The model optimizes the financial yield of the investment. • Several system specifications are optimally defined by the optimization model. • The application to a case study in Greece shows positive financial yield. • The investment is mostly sensitive on the interest rate, the investment cost and the heating oil price. - Abstract: Municipal Solid Waste (MSW) disposal has been a controversial issue in many countries over the past years, due to disagreement among the various stakeholders on the waste management policies and technologies to be adopted. One of the ways of treating/disposing MSW is energy recovery, as waste is considered to contain a considerable amount of bio-waste and therefore can lead to renewable energy production. The overall efficiency can be very high in the cases of co-generation or tri-generation. In this paper a model is presented, aiming to support decision makers in issues relating to Municipal Solid Waste energy recovery. The idea of using more fuel sources, including MSW and agricultural residue biomass that may exist in a rural area, is explored. The model aims at optimizing the system specifications, such as the capacity of the base-load Waste-to-Energy facility, the capacity of the peak-load biomass boiler and the location of the facility. Furthermore, it defines the quantity of each potential fuel source that should be used annually, in order to maximize the financial yield of the investment. The results of an energy tri-generation case study application at a rural area of Greece, using mixed MSW and biomass, indicate positive financial yield of investment. In addition, a sensitivity analysis is performed on the effect of the most important parameters of the model on the optimum solution, pinpointing the parameters of interest rate, investment cost and heating oil price, as those requiring the attention of the decision makers. Finally, the sensitivity analysis is enhanced by a stochastic analysis to determine the effect of the volatility of parameters on the robustness of the model and the solution obtained.

  12. Falcon: automated optimization method for arbitrary assessment criteria

    DOE Patents [OSTI]

    Yang, Tser-Yuan (Livermore, CA); Moses, Edward I. (Livermore, CA); Hartmann-Siantar, Christine (Livermore, CA)

    2001-01-01T23:59:59.000Z

    FALCON is a method for automatic multivariable optimization for arbitrary assessment criteria that can be applied to numerous fields where outcome simulation is combined with optimization and assessment criteria. A specific implementation of FALCON is for automatic radiation therapy treatment planning. In this application, FALCON implements dose calculations into the planning process and optimizes available beam delivery modifier parameters to determine the treatment plan that best meets clinical decision-making criteria. FALCON is described in the context of the optimization of external-beam radiation therapy and intensity modulated radiation therapy (IMRT), but the concepts could also be applied to internal (brachytherapy) radiotherapy. The radiation beams could consist of photons or any charged or uncharged particles. The concept of optimizing source distributions can be applied to complex radiography (e.g. flash x-ray or proton) to improve the imaging capabilities of facilities proposed for science-based stockpile stewardship.

  13. Optimization Gordon K. Smyth

    E-Print Network [OSTI]

    Smyth, Gordon K.

    Optimization Gordon K. Smyth Volume 3, pp 1481­1487 in Encyclopedia of Environmetrics (ISBN 0471 #12;Optimization Optimization is the process by which one finds that value of a vector x, say, that maximizes or minimizes a given function f x . The idea of optimization goes to the heart of statistical

  14. Optimization Under Generalized Uncertainty

    E-Print Network [OSTI]

    Lodwick, Weldon

    11 Optimization Under Generalized Uncertainty Optimization Modeling Math 4794/5794: Spring 2013 Weldon A. Lodwick Weldon.Lodwick@ucdenver.edu 2/14/2013 Optimization Modeling - Spring 2013 #12 in the context of optimization problems. The theoretical frame-work for these notes is interval analysis. From

  15. OPTIMIZING THE OVERALL CONFIGURATION OF A HE-

    E-Print Network [OSTI]

    Raffray, A. René

    1 OPTIMIZING THE OVERALL CONFIGURATION OF A HE- COOLED W-ALLOY DIVERTOR FOR A POWER PLANT A. R. Raffray, S. Malang and X. Wang Mechanical and Aerospace Engineering Department and Center for Energy at the 25th Symposium on Fusion Technology Rostock, Germany September 15-19, 2008 #12;2 He-cooled W-Alloy

  16. Optimal Clock Synchronization under Different Delay Assumptions

    E-Print Network [OSTI]

    Rajsbaum, Sergio

    Heights, NY 10598, USA. Par­ tially supported by DGAPA Projects, National Autonomous University of Mexico Technology Square, Cambridge, MA 02139, USA. On leave from Instituto de Matem'aticas, UNAM, M'exico of achieving optimal clock synchronization in a communication network with arbitrary topology and perfect

  17. A Method for Evaluating Volt-VAR Optimization Field Demonstrations

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Weaver, T. F.

    2014-08-31T23:59:59.000Z

    In a regulated business environment a utility must be able to validate that deployed technologies provide quantifiable benefits to the end-use customers. For traditional technologies there are well established procedures for determining what benefits will be derived from the deployment. But for many emerging technologies procedures for determining benefits are less clear and completely absent in some cases. Volt-VAR Optimization is a technology that is being deployed across the nation, but there are still numerous discussions about potential benefits and how they are achieved. This paper will present a method for the evaluation, and quantification of benefits, for field deployments of Volt-VAR Optimization technologies. In addition to the basic methodology, the paper will present a summary of results, and observations, from two separate Volt-VAR Optimization field evaluations using the proposed method.

  18. Logic-Based Decision Support for Strategic Environmental Assessment

    E-Print Network [OSTI]

    Gavanelli, Marco; Milano, Michela; Cagnoli, Paolo; 10.1017/S1471068410000335

    2010-01-01T23:59:59.000Z

    Strategic Environmental Assessment is a procedure aimed at introducing systematic assessment of the environmental effects of plans and programs. This procedure is based on the so-called coaxial matrices that define dependencies between plan activities (infrastructures, plants, resource extractions, buildings, etc.) and positive and negative environmental impacts, and dependencies between these impacts and environmental receptors. Up to now, this procedure is manually implemented by environmental experts for checking the environmental effects of a given plan or program, but it is never applied during the plan/program construction. A decision support system, based on a clear logic semantics, would be an invaluable tool not only in assessing a single, already defined plan, but also during the planning process in order to produce an optimized, environmentally assessed plan and to study possible alternative scenarios. We propose two logic-based approaches to the problem, one based on Constraint Logic Programming a...

  19. Opportunities for industry participation in DOE`s environmental management technology development program

    SciTech Connect (OSTI)

    Bedick, R.C. [USDOE Morgantown Energy Technology Center, WV (United States); Walker, J.S. [USDOE Assistant Secretary for Environmental Management, Washington, DC (United States). Office of Science and Technology

    1996-09-01T23:59:59.000Z

    METC has managed about 85 research, development, and demonstration projects on behalf of DOE-EM`s Office of Science and Technology that include those in each of the four major environmental remediation and waste management problem areas: subsurface contaminants (radionuclides, heavy metals, dense nonaqueous phase liquids); decontamination and decommissioning of facilities; high-level waste tank remediation; and mixed waste characterization/treament/disposal. All projects within the Industry Programs are phased or have optional tasks at specific go/no-go decision points, allowing DOE to make investment decisions at various points in the technology development cycle to ensure that we are meeting the technology development goals and the needs of the customer or end-user. This decision making process is formalized in a Technology Investment Decision Model. A brief summary is given of R&D requirements (technology needs) in each of the above-mentioned 4 problem areas.

  20. Global Nuclear Energy Partnership Technology Development Plan

    SciTech Connect (OSTI)

    David J. Hill

    2007-07-01T23:59:59.000Z

    This plan describes the GNEP Technology Demonstration Program (GNEP-TDP). It has been prepared to guide the development of integrated plans and budgets for realizing the domestic portion of the GNEP vision as well as providing the basis for developing international cooperation. Beginning with the GNEP overall goals, it describes the basic technical objectives for each element of the program, summarizes the technology status and identifies the areas of greatest technical risk. On this basis a proposed technology demonstration program is described that can deliver the required information for a Secretarial decision in the summer of 2008 and support construction of facilities.

  1. Decision-maker's guide to wood fuel for small industrial energy users. Final report. [Includes glossary

    SciTech Connect (OSTI)

    Levi, M. P.; O'Grady, M. J.

    1980-02-01T23:59:59.000Z

    The technology and economics of various wood energy systems available to the small industrial and commercial energy user are considered. This book is designed to help a plant manager, engineer, or others in a decision-making role to become more familiar with wood fuel systems and make informed decisions about switching to wood as a fuel. The following subjects are discussed: wood combustion, pelletized wood, fuel storage, fuel handling and preparation, combustion equipment, retrofitting fossil-fueled boilers, cogeneration, pollution abatement, and economic considerations of wood fuel use. (MHR)

  2. Evaluation of TechnologiesEvaluation of Technologies and Regulatory Policies forand Regulatory Policies for

    E-Print Network [OSTI]

    Annual Conference on Carbon Capture and Storage Pittsburgh, PA May 11, 2010 #12;E.S. Rubin, Carnegie technology affect the optimal strategy? · What financial incentive is needed for a CCS project if no carbon 2010)(version 6.2.4, May 2010) · New Technology Options Advanced amine system for CO2 capture

  3. A Comparison of Graphical Techniques for Asymmetric Decision Problems

    E-Print Network [OSTI]

    Bielza, Concha; Shenoy, Prakash P.

    1999-11-01T23:59:59.000Z

    We compare four graphical techniques for representation and solution of asymmetric decision problems—decision trees, influence diagrams, valuation networks, and sequential decision diagrams. We solve a modified version of ...

  4. FUEL CELL TECHNOLOGIES PROGRAM Technologies

    E-Print Network [OSTI]

    and fuel cells offer great promise for our energy future. Fuel cell vehicles are not yet commercially, such as a hydrogen fueling station or hydrogen fuel cell vehicle. Technology validation does not certify, and the Federal Government to evaluate hydrogen fuel cell vehicle and infrastructure technologies together in real

  5. Linear conic optimization for nonlinear optimal control

    E-Print Network [OSTI]

    Didier Henrion

    2014-07-07T23:59:59.000Z

    Jul 7, 2014 ... Abstract: Infinite-dimensional linear conic formulations are described for nonlinear optimal control problems. The primal linear problem consists ...

  6. Linear conic optimization for inverse optimal control

    E-Print Network [OSTI]

    Edouard Pauwels

    2014-11-05T23:59:59.000Z

    Nov 5, 2014 ... Abstract: We address the inverse problem of Lagrangian identification based on trajectories in the context of nonlinear optimal control.

  7. Optimization Online - Constrained optimization in seismic reflection ...

    E-Print Network [OSTI]

    F. Delbos

    2004-07-07T23:59:59.000Z

    Jul 7, 2004 ... Constrained optimization in seismic reflection tomography: an SQP augmented Lagrangian approach. F. Delbos (Frederic.Delbos ***at*** ifp.fr)

  8. Optimization Online - Global Optimization Submissions - 2011

    E-Print Network [OSTI]

    Alberto Costa, Pierre Hansen, Leo Liberti. Theory A new look at nonnegativity on closed sets and polynomial optimization. Jean Bernard Lasserre. May 2011.

  9. Optimization Online - Stochastic Optimization for Power System ...

    E-Print Network [OSTI]

    Ludwig Kuznia

    2011-02-17T23:59:59.000Z

    Feb 17, 2011 ... Stochastic Optimization for Power System Configuration with Renewable Energy in Remote Areas. Ludwig Kuznia(lkuznia ***at*** mail.usf.edu)

  10. Optimization Online - Structural optimization of the Ziegler's ...

    E-Print Network [OSTI]

    Oleg N. Kirillov

    2010-12-24T23:59:59.000Z

    Dec 24, 2010 ... Abstract: Structural optimization of non-conservative systems with ... with important applications in fluid-structure interactions, friction-induced ...

  11. Linear conic optimization for nonlinear optimal control

    E-Print Network [OSTI]

    2014-07-07T23:59:59.000Z

    Jul 7, 2014 ... This linear transport equation is classical in fluid mechanics, statistical ... define a relaxed optimal control problem as an LP in the cone of non-.

  12. Optimization Online - Probabilistic optimization via approximate p ...

    E-Print Network [OSTI]

    W. van vAckooij

    2015-05-27T23:59:59.000Z

    May 27, 2015 ... Probabilistic optimization via approximate p-efficient points and bundle methods. W. van vAckooij(wim.van-ackooij ***at*** edf.fr )

  13. Optimization Online - Robust Optimization Submissions - 2013

    E-Print Network [OSTI]

    Mehdi Karimi, Somayeh Moazeni, Levent Tuncel. Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi.

  14. Optimization Online - Optimal Scenario Tree Reduction for ...

    E-Print Network [OSTI]

    W.L. Oliveira

    2008-11-21T23:59:59.000Z

    Nov 21, 2008 ... Abstract: The mid-term operation planning of hydro-thermal power systems ... If the number of synthetic sequences is too big, the optimization ...

  15. Optimization Online - Mixed-Integer Nonlinear Optimization

    E-Print Network [OSTI]

    Pietro Belotti

    2012-12-02T23:59:59.000Z

    Dec 2, 2012 ... Mixed-Integer Nonlinear Optimization. Pietro Belotti(pbelott ***at*** clemson.edu) Sven Leyffer(leyffer ***at*** mcs.anl.gov) Christian ...

  16. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

    New Fractional Error Bounds for Nonconvex Polynomial Systems with Applications to Holderian Stability in Optimization G Li, B. S. Mordukhovich, T. S. Pham.

  17. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

    D. Drusvyatskiy, A.D. Ioffe, A.S. Lewis. February 2014. Nonsmooth Optimization Variational Analysis of Circular Cone Programs Jinchuan Zhou, Jein-Shan Chen

  18. Optimization Online - Global Optimization via Slack Variables

    E-Print Network [OSTI]

    Isaac Siwale

    2014-08-01T23:59:59.000Z

    Aug 1, 2014 ... Citation: Siwale, I. (2014). Global optimization via slack variables. Technical Report No. RD-16-2013, London: Apex Research Ltd. Download: ...

  19. Optimization Online - Multilevel Optimization Modeling for Risk ...

    E-Print Network [OSTI]

    Jonathan Eckstein

    2014-08-24T23:59:59.000Z

    Aug 24, 2014 ... Abstract: Coherent risk measures have become a popular tool for incorporating risk aversion into stochastic optimization models. For dynamic ...

  20. Materials Down Select Decisions Made Within DOE's Chemical Hydrogen...

    Energy Savers [EERE]

    Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center of Excellence Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center...