National Library of Energy BETA

Sample records for decision technological optimism

  1. An Enterprise Decision Model for Optimal Vehicle Design and Technology Valuation

    E-Print Network [OSTI]

    Papalambros, Panos

    engineering simulation to provide a preliminary understanding of the technology's market and design potentialAn Enterprise Decision Model for Optimal Vehicle Design and Technology Valuation by Adam B. Cooper for Optimal Vehicle Design and Technology Valuation by Adam B. Cooper Chair: Panos Y. Papalambros Design

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

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31

    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, ...

  3. Phase Transition Behavior: from Decision to Optimization

    E-Print Network [OSTI]

    Walsh, Toby

    Phase Transition Behavior: from Decision to Optimization John Slaney Australian National University, therefore, that insights into decision problems gained by studying phase transition behavior could be useful is a rapid increase in problem diÆculty. The random 2-Sat transition is continuous (or \\2nd order

  4. 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 this architectural uncertainty, it is difficult to define the value proposition of technology investments. This paper proposes a method for evaluating technology across a tradespace defined by architectural decisions. Main

  5. Optimization of Vertical Handover Decision Processes for Fourth

    E-Print Network [OSTI]

    Sekercioglu, Y. Ahmet

    Optimization of Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless processes in the Fourth Generation (4G) het- erogeneous wireless networks. The scheme consists of three of vertical handover de- cision algorithms in fourth generation heterogeneous wireless networks," Com- puter

  6. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01

    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 ...

  7. Spent Nuclear Fuel Alternative Technology Decision Analysis

    SciTech Connect (OSTI)

    Shedrow, C.B.

    1999-11-29

    The Westinghouse Savannah River Company (WSRC) made a FY98 commitment to the Department of Energy (DOE) to recommend a technology for the disposal of aluminum-based spent nuclear fuel (SNF) at the Savannah River Site (SRS). The two technologies being considered, direct co-disposal and melt and dilute, had been previously selected from a group of eleven potential SNF management technologies by the Research Reactor Spent Nuclear Fuel Task Team chartered by the DOE''s Office of Spent Fuel Management. To meet this commitment, WSRC organized the SNF Alternative Technology Program to further develop the direct co-disposal and melt and dilute technologies and ultimately provide a WSRC recommendation to DOE on a preferred SNF alternative management technology.

  8. Optimal Deployment of Emissions Reduction Technologies for Construction Equipment

    E-Print Network [OSTI]

    Quadrifoglio, Luca

    Optimal Deployment of Emissions Reduction Technologies for Construction Equipment Muhammad Ehsanul The objective of this research was to develop a multiob- jective optimization model to deploy emissions reduction technologies for nonroad construction equipment to re- duce emissions in a cost

  9. Technology Evaluation and Decision Making for Sustainability Enhancement of Industrial Systems Under Uncertainty

    E-Print Network [OSTI]

    Huang, Yinlun

    Technology Evaluation and Decision Making for Sustainability Enhancement of Industrial Systems. A case study on sustainable development of biodiesel manufacturing demonstrates methodological efficacy: sustainability enhancement, decision making, uncertainty, interval-parameter-based analysis, technology

  10. Optimization-based decision support system for retail souring

    E-Print Network [OSTI]

    Patel, Jalpa (Jalpa N.)

    2012-01-01

    Some of the biggest challenges in the retail sourcing lie in predicting demand for a new article and making purchase decisions such as quantity, source, transportation mode and time of the order. Such decisions become more ...

  11. From data to decisions through new interfaces between optimization and statistics

    E-Print Network [OSTI]

    Kallus, Nathan

    2015-01-01

    The growing availability of data is creating opportunities for making better decisions, but in many circumstances it is yet unknown how to correctly leverage this data in systematic and optimal ways. In this thesis, we ...

  12. Stochastics and Statistics Optimal decision indices for R&D project evaluation in the

    E-Print Network [OSTI]

    Stochastics and Statistics Optimal decision indices for R&D project evaluation of evaluating research and development (R&D) projects in the pharma- ceutical industry by using appropriate to various decision-based analytic approaches to sequential choice of projects, with special motivation from

  13. 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;2 #12;3 Technology and Architecture Informing Investment Decisions for the Future of Human Space before the system architecture is defined. This thesis develops a framework for evaluating technologies

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

    E-Print Network [OSTI]

    rabiee abbas

    2015-01-03

    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.

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

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

    effort to increase energy efficiency, while maintaining low emissions, has resulted in new engine valve technology on the 2014 Chevrolet Impala. EERE's Vehicle Technologies...

  16. Optimal digital system design in deep submicron technology

    E-Print Network [OSTI]

    Heo, Seongmoo, 1977-

    2006-01-01

    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 ...

  17. Multi-objective constrained optimization for decision making and optimization for system architectures

    E-Print Network [OSTI]

    Lin, Maokai

    2010-01-01

    This thesis proposes new methods to solve three problems: 1) how to model and solve decision-making problems, 2) how to translate between a graphical representation of systems and a matrix representation of systems, and ...

  18. 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

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

    E-Print Network [OSTI]

    Ferraz de Abreu, Pedro Manuel Barbosa

    2002-01-01

    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 ...

  20. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGEProjects/Definitions JumpTechnologies International

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

    SciTech Connect (OSTI)

    CONRAD EA

    2008-08-12

    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.

  2. 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

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

    E-Print Network [OSTI]

    Battat, Jonathan A.

    Although NASA has yet to choose an architecture for human spaceflight beyond Earth orbit, they must pursue near-term investment in the enabling technologies that will be required for these future systems. Given this ...

  4. 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

  5. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008 (to appear). 1 Vertical Handoff Decision Algorithms for Providing

    E-Print Network [OSTI]

    future, vehicular and other mobile applications will expect seamless vertical handoff between (APs)) but also to maximize the collective battery lifetime of Mobile Nodes (MNs). In addition, when adIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008 (to appear). 1 Vertical Handoff Decision Algorithms

  6. An overview of emerging technologies in contemporary decision support system development

    SciTech Connect (OSTI)

    Nursal, Ahmad Taufik E-mail: faizal-omar@uum.edu.my; Omar, Mohd Faizal E-mail: faizal-omar@uum.edu.my; Nawi, Mohd Nasrun Mohd

    2014-12-04

    The rapid development of Web technology has opened a new approach to Decision Support System (DSS) development. For instance, Social Media is one of the Web 2.0 digital platforms that allow the creation and exchanges of user-generate content through an interactive interface, high user control and mass participation. The concept and characteristics of Web 2.0 such as remote, platform-independent, context-rich and easy to use, which is fulfill the concept and purpose of DSS. This paper outlines some of the elementary concepts of Web 2.0 and social media technology which can be potentially integrated within DSS to enhance the decision-making process. Our initial investigation indicates that there is limited study attempt to embed Web 2.0 into DSS. Thus, this paper highlights the importance of Web 2.0 technology in order to foster the betterment of DSS development and its usability.

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

    E-Print Network [OSTI]

    Bachmann, Chris H., III (Christopher Henry)

    2008-01-01

    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 ...

  8. CHEOPS performance for exomoons: The detectability of exomoons by using optimal decision algorithm

    E-Print Network [OSTI]

    Simon, A E; Kiss, L L; Fortier, A; Benz, W

    2015-01-01

    Many attempts have already been made for detecting exomoons around transiting exoplanets but the first confirmed discovery is still pending. The experience that have been gathered so far allow us to better optimize future space telescopes for this challenge, already during the development phase. In this paper we focus on the forthcoming CHaraterising ExOPlanet Satellite (CHEOPS),describing an optimized decision algorithm with step-by-step evaluation, and calculating the number of required transits for an exomoon detection for various planet-moon configurations that can be observable by CHEOPS. We explore the most efficient way for such an observation which minimizes the cost in observing time. Our study is based on PTV observations (photocentric transit timing variation, Szab\\'o et al. 2006) in simulated CHEOPS data, but the recipe does not depend on the actual detection method, and it can be substituted with e.g. the photodynamical method for later applications. Using the current state-of-the-art level simul...

  9. Technology Selection and Architecture Optimization of In-Situ Resource Utilization Systems

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Selection and Architecture Optimization of In-Situ Resource Utilization Systems, Committee on Graduate Students 1 #12;Technology Selection and Architecture Optimization of In-Situ Resource that addresses the fluctuating architectural landscape (an inherent feature of developing technology systems

  10. Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of

    E-Print Network [OSTI]

    Gerstein, Mark

    Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction, Snyder M, et al. (2009) Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost of these technologies differ considerably from each other. As an important goal of personal genomics is to reduce

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

    SciTech Connect (OSTI)

    Schittler, M

    2003-08-24

    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.

  12. Using a Decision Support System to Optimize Production of Agricultural Crop Residue Biofeedstock

    SciTech Connect (OSTI)

    Reed L. Hoskinson; Ronald C. Rope; Raymond K. Fink

    2007-04-01

    For several years the Idaho National Laboratory (INL) has been developing a Decision Support System for Agriculture (DSS4Ag) which determines the economically optimum recipe of various fertilizers to apply at each site in a field to produce a crop, based on the existing soil fertility at each site, as well as historic production information and current prices of fertilizers and the forecast market price of the crop at harvest, for growing a crop such as wheat, potatoes, corn, or cotton. In support of the growing interest in agricultural crop residues as a bioenergy feedstock, we have extended the capability of the DSS4Ag to develop a variable-rate fertilizer recipe for the simultaneous economically optimum production of both grain and straw, and have been conducting field research to test this new DSS4Ag. In this paper we report the results of two years of field research testing and enhancing the DSS4Ag’s ability to economically optimize the fertilization for the simultaneous production of both grain and its straw, where the straw is an agricultural crop residue that can be used as a biofeedstock.

  13. MIS 381N: OPTIMIZATION AND DECISION ANALYSIS TT 9:30-11:00, CBA 4.328

    E-Print Network [OSTI]

    Ghosh, Joydeep

    MIS 381N: OPTIMIZATION AND DECISION ANALYSIS FALL 2013 TT 9:30-11:00, CBA 4.328 Professor James S. Dyer Office CBA 3.218 Office Hours TT 1:30-2:30 Phone 471-5278 E-Mail j.dyer@mccombs.utexas.edu Course Web Page via Blackboard Teaching Assistant Ying He Office CBA 5.334Q Office Hours Wednesday, 9

  14. Cost savings deliverables and criteria for the OST technology decision process

    SciTech Connect (OSTI)

    McCown, A.

    1997-04-01

    This document has been prepared to assist focus area (FA) technical and management teams in understanding the cost savings deliverables associated with a technology system during its research and development (R and D) phases. It discusses the usefulness of cost analysis in the decision-making process, and asserts that the level of confidence and data quality of a cost analysis is proportional to the maturity of the technology system`s development life cycle. Suggestions of specific investment criteria or cost savings metrics that a FA might levy on individual research projects are made but the final form of these elements should be stipulated by the FA management based on their rationale for a successful technology development project. Also, cost savings deliverables for a single FA will be more detailed than those for management of the Office of Science and Technology (OST). For example, OST management may want an analysis of the overall return on investment for each FA, while the FA program manager may want this analysis and the return on investment metrics for each technology research activity the FA supports.

  15. 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

    2014-04-24

    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...

  16. 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

    2008-01-01

    list of equipment investment options [7]. The approach is fully technology-neutral and can include energy

  17. 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...

  18. 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

    2008-01-01

    CHP heat solar thermal thermal storage Fig. 3. Low storageElectrical and/or thermal storage technologies that allowboth electrical and thermal storage being viewed as

  19. 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

  20. Lighting System Optimization: Leveraging the New Technology Paradigm

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA PublicLED ADOPTIONtoLighting System Optimization: Leveraging

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

    E-Print Network [OSTI]

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

    2014-01-01

    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 ...

  2. Environmental Decision Support for Manufacturing Technology Felipe Roman, Bert Bras1

    E-Print Network [OSTI]

    the Department of Energy's (DoE) Industrial Assessment Centers (IACs), which provide free energy, waste goals and cascade them through all levels of management decision making. One decision-making level-mail: bert.bras@me.gatech.edu #12;2 GRI - Global Reporting Initiative IAC - Industrial Assessment Center ISO

  3. Subsea manifolds optimization -- The combination of mature and new technologies

    SciTech Connect (OSTI)

    Paulo, C.A.S.

    1996-12-31

    Subsea equipment can now be considered a mature option for offshore field developments. In Brazil, since the first oil in Campos Basin, different concepts ranging from one-atmosphere chambers to deepwater guidelineless X-mas trees, have been tested, contributing to this development. The experience acquired during these years makes it possible to combine the proven systems with new technologies being developed, for the design of subsea manifolds. The main target is more efficiency and cost reduction. When choosing a manifold concept, a usual rule is applicable: the simpler the better. The maturity, confidence and reliability obtained, allow the usage of resident hydraulically actuated valves, simplifying considerably the manifold arrangement. Other contributions come from: the reduction of piping bend radius allowed by the new pigs; the increased reliability of subsea instrumentation and chokes, allowing elimination of the gas-lift-test flowline; and the development of the direct vertical connection, that turns subsea tie-ins into very fast and easy operations. Combining all that with the new technology of a multiphase meter (to eliminate the test flowline and even the test separator on the platform), one can achieve a cost effective solution. This paper describes the possibilities of simplifying the subsea manifolds and presents a comparison of different designs. The usage of mature technology combined with the new developments, can help the industry to make deep water developments profitable, worldwide.

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

    SciTech Connect (OSTI)

    Raymond L. Mazza

    2004-11-30

    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.

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

    SciTech Connect (OSTI)

    Bowman, C.D.

    1996-12-31

    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.

  6. New Clean Coal Cycle Optimized Using Pinch Technology 

    E-Print Network [OSTI]

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

    1990-01-01

    ~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... stream_source_info ESL-IE-90-06-19.pdf.txt stream_content_type text/plain stream_size 32262 Content-Encoding ISO-8859-1 stream_name ESL-IE-90-06-19.pdf.txt Content-Type text/plain; charset=ISO-8859-1 NEW CLEAN COAL CYCLE...

  7. 10.1177/0270467602238888BULLETIN OF SCIENCE, TECHNOLOGY & SOCIETY / December 2002Stahl etal./ENVIRONMENTAL DECISION ANALYSIS A New Approach to Environmental

    E-Print Network [OSTI]

    Delaware, University of

    Assessment (MIRA) Cynthia H. Stahl U.S. Environmental Protection Agency Region III and University of Delaware10.1177/0270467602238888BULLETIN OF SCIENCE, TECHNOLOGY & SOCIETY / December 2002Stahl etal./ENVIRONMENTAL DECISION ANALYSIS A New Approach to Environmental Decision Analysis: Multi-Criteria Integrated Resource

  8. Energy Comparison and Optimization of Wireless Body-Area Network Technologies

    E-Print Network [OSTI]

    Zhong, Lin

    1 Energy Comparison and Optimization of Wireless Body-Area Network Technologies Le Yan , Lin Zhong/O devices. We investigate an energy-efficient computing model, called wireless device driver, for low of tunable parameters of the wireless device driver on connection latency and energy consumption for both

  9. Power-Optimal Pipelining in Deep Submicron Technology Seongmoo Heo and Krste Asanovic

    E-Print Network [OSTI]

    effective techniques for trading time slack for power. Supply voltage reduction leads to a quadratic be used to provide excess performance to trade for lower power, but pipelining has the advantagePower-Optimal Pipelining in Deep Submicron Technology Seongmoo Heo and Krste Asanovi´c MIT

  10. Wireless Sensor Technology to Optimize the Occupant's Dynamic Demand Pattern Within the Building 

    E-Print Network [OSTI]

    Zeiler, W.; Boxem, G.; Maaijen, R.

    2012-01-01

    behavior of aoocpants of a building. An experimental set-up was developed which was implemented on the 3th floor of one of the offices of Royal Haskoning consulting engineers. This showed the positive effect of using wireless technology to optimize...

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

    E-Print Network [OSTI]

    Bari, Muhammad Ehsanul

    2010-10-12

    -road equipment of TxDOT to reduce emissions in a cost effective and optimal manner. Three technologies were considered for deployment in this research, (1) hydrogen enrichment (HE), (2) selective catalytic reduction (SCR) and (3) fuel additive (FA... Gas ....................................................................... 24 Biodiesel ............................................................................ 24 Hydrogen...

  12. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 62, NO. 7, SEPTEMBER 2013 2919 Optimizing Electric Vehicle Charging

    E-Print Network [OSTI]

    Tang, Jian "Neil"

    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 62, NO. 7, SEPTEMBER 2013 2919 Optimizing Electric Vehicle Charging: A Customer's Perspective Chenrui Jin, Student Member, IEEE, Jian Tang, Member, IEEE, and Prasanta Ghosh, Senior Member, IEEE Abstract--Electric vehicles (EVs) are considered to be a promis- ing

  13. 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

  14. 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

    2008-05-15

    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.

  15. Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model 

    E-Print Network [OSTI]

    Lang, K.

    1982-01-01

    technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration...

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

    E-Print Network [OSTI]

    Santen, Nidhi

    2013-01-01

    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 ...

  17. In Technology Studies, 3(2):263-267, 1996 Decision Support Systems in Genetic Counseling

    E-Print Network [OSTI]

    Druzdzel, Marek J.

    , command and control of military combat units, control of nuclear power plants, management of complex on \\Information, Knowledge and Values in Genetic Decision Making" by Dr. Sue P. Staord) Marek J. Druzdzel is a knowledge of how pieces of information are related and a capacity to apply that knowledge eciently." While

  18. Optimization and Relaxation in Constraint Logic Languages Kannan Govindarajan

    E-Print Network [OSTI]

    Krovi, Venkat

    Optimization and Relaxation in Constraint Logic Languages Kannan Govindarajan Dept. of Computer & Technology Xerox Corporation Webster, NY 14580 mantha@wrc.xerox.com Abstract Optimization and relaxation.g., engineering design, scheduling, decision support, etc. In optimization, we are interested in finding

  19. Bicriteria Optimization of Technological Parameters in Algorithm for Designing Magnetic Composites

    E-Print Network [OSTI]

    Krzysztof Sokalski; Barbara ?lusarek; Bartosz Jankowski; Marek Przybylski

    2015-07-27

    Novel algorithm for designing values of technological parameters for production of Soft Magnetic Composites (SMC) has been created. These parameters are the following magnitudes: hardening temperature $T$ and compaction pressure $p$. They enable us to optimize of power losses and induction. The advantage of the presented algorithm consists in the bicriteria optimization. The crucial role in the presented algorithm play scaling and notion of pseudo-state equation. On the base of these items the mathematical models of the power losses and induction have been created. The models parameters have been calculated on the basis of the power losses characteristics and hysteresis loops. The created optimization system has been applied to specimens of Somaloy 500. Obtained output consists of finite set of feasible solutions. In order to select unique solution an example of additional criterion has been formulated.

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

    SciTech Connect (OSTI)

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

    1998-01-01

    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.

  1. The Role of Research Institutes and Universities in Science and Technology Decision-making in China

    E-Print Network [OSTI]

    SUN, Fuquan

    2013-01-01

    technology support pro- grams, high-tech R&D projects, basicSome plans, such as the high-tech R&D projects, were firstgov- ernments, but the high-tech R&D project and the basic

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

    SciTech Connect (OSTI)

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

    2008-11-17

    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.

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

    E-Print Network [OSTI]

    Battat, Jonathan Alexander

    2012-01-01

    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 ...

  4. Systems Approach and Quantitative Decision Tools for Technology Selection in Environmentally Friendly Drilling 

    E-Print Network [OSTI]

    Yu, Ok Y.

    2010-01-16

    One of the petroleum industry?s goals is to reduce the environmental impact of oil and gas operations in environmentally sensitive areas. To achieve this, a number of Environmentally Friendly Drilling (EFD) technologies ...

  5. Information technology and business transformation : work location and the allocation of decision rights

    E-Print Network [OSTI]

    Fitoussi, David, 1974-

    2004-01-01

    (cont.) as well, firms have an incentive to require coordinated investments in technology across the enterprise. Still, research in IS has also highlighted the fact that the productivity of computer investments is highly ...

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

    SciTech Connect (OSTI)

    Wang, Dongtao

    2011-09-23

    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).

  7. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 59, NO. 8, OCTOBER 2010 4043 A Generic Framework for Optimal

    E-Print Network [OSTI]

    Jiang, Hai

    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 59, NO. 8, OCTOBER 2010 4043 A Generic Framework for Optimal Mobile Sensor Redeployment Zhong Shen, Yilin Chang, Hai Jiang, Member, IEEE, Yanling Wang

  8. 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.

    2010-01-01

    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.

  9. MO-PIS-Exhibit Hall-01: Imaging: CT Dose Optimization Technologies I

    SciTech Connect (OSTI)

    Denison, K; Smith, S

    2014-06-15

    Partners in Solutions is an exciting new program in which AAPM partners with our vendors to present practical “hands-on” information about the equipment and software systems that we use in our clinics. The imaging topic this year is CT scanner dose optimization capabilities. Note that the sessions are being held in a special purpose room built on the Exhibit Hall Floor, to encourage further interaction with the vendors. Dose Optimization Capabilities of GE Computed Tomography Scanners Presentation Time: 11:15 – 11:45 AM GE Healthcare is dedicated to the delivery of high quality clinical images through the development of technologies, which optimize the application of ionizing radiation. In computed tomography, dose management solutions fall into four categories: employs projection data and statistical modeling to decrease noise in the reconstructed image - creating an opportunity for mA reduction in the acquisition of diagnostic images. Veo represents true Model Based Iterative Reconstruction (MBiR). Using high-level algorithms in tandem with advanced computing power, Veo enables lower pixel noise standard deviation and improved spatial resolution within a single image. Advanced Adaptive Image Filters allow for maintenance of spatial resolution while reducing image noise. Examples of adaptive image space filters include Neuro 3-D filters and Cardiac Noise Reduction Filters. AutomA adjusts mA along the z-axis and is the CT equivalent of auto exposure control in conventional x-ray systems. Dynamic Z-axis Tracking offers an additional opportunity for dose reduction in helical acquisitions while SmartTrack Z-axis Tracking serves to ensure beam, collimator and detector alignment during tube rotation. SmartmA provides angular mA modulation. ECG Helical Modulation reduces mA during the systolic phase of the heart cycle. SmartBeam optimization uses bowtie beam-shaping hardware and software to filter off-axis x-rays - minimizing dose and reducing x-ray scatter. The DICOM Radiation Dose Structured Report (RDSR) generates a dose report at the conclusion of every examination. Dose Check preemptively notifies CT operators when scan parameters exceed user-defined dose thresholds. DoseWatch is an information technology application providing vendor-agnostic dose tracking and analysis for CT (and all other diagnostic x-ray modalities) SnapShot Pulse improves coronary CTA dose management. VolumeShuttle uses two acquisitions to increase coverage, decrease dose, and conserve on contrast administration. Color-Coding for Kids applies the Broselow-Luten Pediatric System to facilitate pediatric emergency care and reduce medical errors. FeatherLight achieves dose optimization through pediatric procedure-based protocols. Adventure Series scanners provide a child-friendly imaging environment promoting patient cooperation with resultant reduction in retakes and patient motion. Philips CT Dose Optimization Tools and Advanced Reconstruction Presentation Time: 11:45 ‘ 12:15 PM The first part of the talk will cover “Dose Reduction and Dose Optimization Technologies” present in Philips CT Scanners. The main Technologies to be presented include: DoseRight and tube current modulation (DoseRight, Z-DOM, 3D-DOM, DoseRight Cardiac) Special acquisition modes Beam filtration and beam shapers Eclipse collimator and ClearRay collimator NanoPanel detector DoseRight will cover automatic tube current selection that automatically adjusts the dose for the individual patient. The presentation will explore the modulation techniques currently employed in Philips CT scanners and will include the algorithmic concepts as well as illustrative examples. Modulation and current selection technologies to be covered include the Automatic Current Selection component of DoseRight, ZDOM longitudinal dose modulation, 3D-DOM (combination of longitudinal and rotational dose modulation), Cardiac Dose right (an ECG based dose modulation scheme), and the DoseRight Index (DRI) IQ index. The special acquisition modes covers acquisition techniques such as prospective gating that

  10. Optimization Online - Robust Optimization Submissions - 2015

    E-Print Network [OSTI]

    Robust Optimization Submissions - 2015. January 2015. A Composite Risk Measure Framework for Decision Making under Uncertainty Pengyu Qian, Zizhuo  ...

  11. Optimization of the BEOL Interconnect Stack for Advanced Semiconductor Technology Nodes

    E-Print Network [OSTI]

    Shah, Pooja Pradeep

    2015-01-01

    2.2 Wire Optimization at System Level . . . . . . . . .3 Experiments for Interconnect Dimension Optimization3.1.1 Optimization of Interconnect Dimensions 3.1.2

  12. EV Charging Through Wireless Power Transfer: Analysis of Efficiency Optimization and Technology Trends

    SciTech Connect (OSTI)

    Miller, John M; Rakouth, Heri; Suh, In-Soo

    2012-01-01

    This paper is aimed at reviewing the technology trends for wireless power transfer (WPT) for electric vehicles (EV). It also analyzes the factors affecting its efficiency and describes the techniques currently used for its optimization. The review of the technology trends encompasses both stationary and moving vehicle charging systems. The study of the stationary vehicle charging technology is based on current implementations and on-going developments at WiTricity and Oak Ridge National Lab (ORNL). The moving vehicle charging technology is primarily described through the results achieved by the Korean Advanced Institute of Technology (KAIST) along with on-going efforts at Stanford University. The factors affecting the efficiency are determined through the analysis of the equivalent circuit of magnetic resonant coupling. The air gap between both transmitting and receiving coils along with the magnetic field distribution and the relative impedance mismatch between the related circuits are the primary factors affecting the WPT efficiency. Currently the industry is looking at an air gap of 25 cm or below. To control the magnetic field distribution, Kaist has recently developed the Shaped Magnetic Field In Resonance (SMFIR) technology that uses conveniently shaped ferrite material to provide low reluctance path. The efficiency can be further increased by means of impedance matching. As a result, Delphi's implementation of the WiTricity's technology exhibits a WPT efficiency above 90% for stationary charging while KAIST has demonstrated a maximum efficiency of 83% for moving vehicle with its On Line Vehicle (OLEV) project. This study is restricted to near-field applications (short and mid-range) and does not address long-range technology such as microwave power transfer that has low efficiency as it is based on radiating electromagnetic waves. This paper exemplifies Delphi's work in powertrain electrification as part of its innovation for the real world program geared toward a safer, greener and more connected driving. Moreover, it draws from and adds to Dr. Andrew Brown Jr.'s SAE books 'Active Safety and the Mobility Industry', 'Connectivity and Mobility Industry', and 'Green Technologies and the Mobility Industry'. Magnetic resonant coupling is the foundation of modern wireless power transfer. Its efficiency can be controlled through impedance matching and magnetic field shaping. Current implementations use one or both of these control methods and enable both stationary and mobile charging with typical efficiency within the 80% and 90% range for an air gap up to 25 cm.

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

    E-Print Network [OSTI]

    Ortiz Prada, Rubiel Paul

    2012-02-14

    Optimizing well spacing in unconventional gas reservoirs is difficult due to complex heterogeneity, large variability and uncertainty in reservoir properties, and lack of data that increase the production uncertainty. Previous methods are either...

  14. Technology Solutions Case Study: Optimizing Hydronic System Performance in Residential Applications, Ithaca, New York

    SciTech Connect (OSTI)

    2013-11-01

    Condensing boiler technology has been around for many years and has proven to be a durable, reliable method of heating. Based on previous research efforts, however, it is apparent that these types of systems are not designed and installed to achieve maximum efficiency. For example, in order to protect their equipment in the field, manufacturers of low-mass condensing boilers typically recommend design strategies and components that ensure steady, high flow rates through the heat exchangers, such as primary-secondary piping, which ultimately result in decreased efficiency. There is also a significant lack of information for contractors on how to configure these systems to optimize overall efficiency. In response to these findings, researchers from Building America team Consortium for Advanced Residential Buildings worked with industry partners to develop hydronic system designs that would address these issues and result in higher overall system efficiencies and improved response times.

  15. Optimal Technology Selection and Operation of Microgrids inCommercial Buildings

    SciTech Connect (OSTI)

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

    2007-01-15

    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.

  16. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01

    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 ...

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

    SciTech Connect (OSTI)

    D.E. Fisher

    2006-01-07

    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.

  18. Optimization of the BEOL Interconnect Stack for Advanced Semiconductor Technology Nodes

    E-Print Network [OSTI]

    Shah, Pooja Pradeep

    2015-01-01

    Stage Validation: Predictive Technology Models . . 3.4.12.6 Predictive Technology Models . . . . . . . . . . . 2.7Library in 15nm FreePDK Technology”, Proc. ISPD, 2015, pp.

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

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01

    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

  20. 258 IEEE PHOTONICS TECHNOLOGY LETTERS, VOL. 20, NO. 4, FEBRUARY 15, 2008 Optimization-Based Analysis of Modulation

    E-Print Network [OSTI]

    Fainman, Yeshaiahu

    .1109/LPT.2007.913240 the set adjusted to lower the error. The energy transfer between the waves in MI258 IEEE PHOTONICS TECHNOLOGY LETTERS, VOL. 20, NO. 4, FEBRUARY 15, 2008 Optimization showing the effects of the cavity modes on the gain curves. Index Terms--Nonlinear optics, nonlinear wave

  1. Reverse Osmosis Optimization

    SciTech Connect (OSTI)

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

    2013-08-26

    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.¬

  2. Reverse Osmosis Optimization

    SciTech Connect (OSTI)

    2013-08-01

    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.

  3. 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

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

    E-Print Network [OSTI]

    Karp, Larry; Perloff, Jeffrey M

    1994-01-01

    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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2008-01-01

    with Electric and Thermal Storage Technologies Michaelwith Electric and Thermal Storage Technologies 1 Michael2006). Electrical and thermal storage is added as an option

  6. 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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01

    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

  8. 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, ...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01

    with Electric and Thermal Storage Technologies,” ACEEE 2008acid battery) and thermal storage capabilities were added tothe electrical and thermal storage are shown in Table 3 (

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

    E-Print Network [OSTI]

    Graff, Christopher Dominic

    2006-01-01

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  13. 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...

  14. 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...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2008-01-01

    fired reciprocating engines, gas turbines, microturbines,engines are the most dominant technologies. Investigations show that no fuel cell or micro turbine

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

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01

    chillers, energy storage, or solar-based technologies areand the huge solar thermal and heat storage system adoptionon expensive solar-based equipment and energy storage

  18. 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...

  19. 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

    2009-07-31

    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.

  20. 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)

    1995-12-01

    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.

  1. Nanoscale SRAM Variability and Optimization

    E-Print Network [OSTI]

    Toh, Seng Oon

    2011-01-01

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

  2. Optimization of the BEOL Interconnect Stack for Advanced Semiconductor Technology Nodes

    E-Print Network [OSTI]

    Shah, Pooja Pradeep

    2015-01-01

    seen in the pure-play foundry “node” taxonomy. For example,pitch for the pure-play foundry 14nm technology node islayer are de- fined by the foundry, while designers can vary

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

    E-Print Network [OSTI]

    Mikati, Samir Omar

    2009-01-01

    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 ...

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

    E-Print Network [OSTI]

    Schaner, Simone Gabrielle

    2011-01-01

    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 ...

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

    E-Print Network [OSTI]

    Chepko, Ariane (Ariane Brooke)

    2009-01-01

    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 ...

  6. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 2, FEBRUARY 2009 865 Vertical Handoff Decision Algorithms for Providing

    E-Print Network [OSTI]

    and other mobile applications will be expected to have seamless VHO between heterogeneous access networks.g., base stations and access points) but also maximize the collective battery lifetime of mobile nodes (MNsIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 2, FEBRUARY 2009 865 Vertical Handoff

  7. Industrial Powerhouse Optimization in the Deregulated Electricity Marketplace 

    E-Print Network [OSTI]

    Hughes, P. D.; Bailey, W. F.

    2003-01-01

    of electricity deregulation and implemented real-time optimization of the electricity make-buy decision....

  8. 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

    2014-03-01

    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.

  9. 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. ...

  10. Design of Optimal Regulators

    E-Print Network [OSTI]

    Alexander Bolonkin; Robert Sierakowski

    2007-01-19

    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.

  11. 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

    2009-05-26

    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.

  12. Comparing New-Technology Passive Warming Versus Traditional Passive Warming Methods for Optimizing Perioperative Body Core Temperature

    E-Print Network [OSTI]

    Bender, M; Self, B; Schroeder, E; Giap, B

    2015-01-01

    BCG Medical provided the new-technology passive warmingpersonal copy Comparing New-Technology Passive Warmingreducing hypothermia. New-technology passive warming holds

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    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

  14. Technology Readiness Assessment Report

    Office of Environmental Management (EM)

    of management decisions by identifying key technologies that have been demonstrated to work or by highlighting immature or unproven technologies that might result in increased...

  15. 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

    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 is not only inexhaustible, but also environmental friendly. Therefore, the solar energy technologies

  16. 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 which heating and cooling are provided by a single piece of equipment. In a Ground Coupled Heat Pump (GCHP) system a length of pipe is buried in the ground and the ground acts as a reservoir to store the heat

  17. 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.

    2013-07-01

    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)

  18. Technology maturation project on optimization of sheet metal forming of aluminum for use in transportation systems: Final project report

    SciTech Connect (OSTI)

    Johnson, K.I.; Smith, M.T.; Lavender, C.A.; Khalell, M.A.

    1994-10-01

    Using aluminum instead of steel in transportation systems could dramatically reduce the weight of vehicles--an effective way of decreasing energy consumption and emissions. The current cost of SMF aluminum alloys (about $4 per pound) and the relatively long forming times of current materials are serious drawbacks to the widespread use of SMF in industry. The interdependence of materials testing and model development is critical to optimizing SMF since the current process is conducted in a heated, pressurized die where direct measurement of critical SMF parameters is extremely difficult. Numerical models provide a means of tracking the forming process, allowing the applied gas pressure to be adjusted to maintain the optimum SMF behavior throughout the forming process. Thus, models can help produce the optimum SMF component in the least amount of time. The Pacific Northwest Laboratory is integrating SMF model development with research in improved aluminum alloys for SMF. The objectives of this research are: develop and characterize competitively priced aluminum alloys for SMF applications in industry; improve numerical models to accurately predict the optimum forming cycle for reduced forming time and improved quality; verify alloy performance and model accuracy with forming tests conducted in PNL`s Superplastic Forming User Facility. The activities performed in this technology maturation project represent a critical first step in achieving these objectives through cooperative research among industry, PNL, and universities.

  19. Technolog

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

    focuses on multi-scale, multiphysics approaches to understanding natural systems, "engineering the earth" with sensing and drilling technologies and characterizing geomaterials...

  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.

    , When to Invest? Only optimize streams transfers (oil and fuels import/export, market supply) + NLP Processing Blending Quantitative Methods for Strategic and Investment Planning in the Oil-Refining Industry capacity QC= total capacity Capital Investment Planning Formulation (R,U,N,T) R=Refinery U=Unit type N

  1. 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

  2. Contexts/Motivation Online optimization

    E-Print Network [OSTI]

    Jaillet, Patrick

    with recourse, Markov decision process, stochastic optimal control, etc.) No probabilistic assumptionsContexts/Motivation Online optimization In-depth Cases Online Optimization Patrick Jaillet1 Michael funded by NSF, ONR, AFOSR, and Singapore Online Optimization, Jaillet & Wagner INFORMS, November 8, 2010

  3. 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

    2011-02-01

    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.

  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

    2010-01-01

    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. 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.

    2007-01-01

    , this paper also proposed a new control strategy combining with the WSN and the damper position based reset method, i.e. cascade VAV optimal control strategy....

  6. A Simulation and Decision Analysis Approach to Locating DNAPLS in Subsurface Sediments

    E-Print Network [OSTI]

    Borchers, Brian

    of DNAPL spills with a decision analysis model to pick optimal locations for sampling wells. In this paper the decision tree. Use the decision tree solution to pick the next well location. Drill the well, collect data with a decision analysis model to pick optimal locations for sampling wells. Our strategy is an iterative process

  7. Technologies

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable15/2008Technologies Technologies

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar FuelTechnology /newsroom/_assets/images/s-icon.png Technology

  9. Comparing New-Technology Passive Warming Versus Traditional Passive Warming Methods for Optimizing Perioperative Body Core Temperature

    E-Print Network [OSTI]

    Bender, M; Self, B; Schroeder, E; Giap, B

    2015-01-01

    provided the new-technology passive warming devices (Opt-on the most effective passive warming method to improve theComparing New-Technology Passive Warming Versus Traditional

  10. 2008 Annual Progress Report - Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program

    SciTech Connect (OSTI)

    none,

    2009-02-24

    Annual Progress Report for fiscal year 2008 for the Advanced Vehicle Technology Analysis and Evaluation (AVTAE) team activities

  11. FY2009 Annual Progress Report for Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program

    SciTech Connect (OSTI)

    none,

    2010-02-19

    Annual Progress Report for fiscal year 2009 for the Advanced Vehicle Technology Analysis and Evaluation (AVTAE) team activities

  12. Convex Optimization Unit code: MATH36061

    E-Print Network [OSTI]

    Sidorov, Nikita

    MATH36061 Convex Optimization Unit code: MATH36061 Credit Rating: 10 Unit level: Level 3 Teaching Requirements MATH36061 pre-requisite Aims The course aims to introduce students to modern convex optimization #12;Optimization is the art of optimal decision making under constraints. Convex optimization refers

  13. 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...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    of PV panels, solar thermal equipment, and storage systems.chiller, energy storage, or solar-based technologies areexpensive solar-based equipment and energy storage Intercept

  15. Technologies

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexico IndependentMatter and Technologies R&D

  16. 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

  17. 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

  18. Efficient Sequential Decision-Making Algorithms for Container Inspection

    E-Print Network [OSTI]

    Madigan, David

    formulate a port of entry inspection sequencing task as a problem of finding an optimal binary decision tree for an appropriate Boolean decision function. We report on new algorithms for finding such optimal trees the method. Finding algorithms for sequential diagnosis that minimize the total "cost" of the inspection

  19. Optimization of Vertical and Horizontal Beamforming Kernels on the PowerPC G4 Processor with AltiVec Technology

    E-Print Network [OSTI]

    Cho, Young Hyun

    1 Optimization of Vertical and Horizontal Beamforming Kernels on the PowerPC G4 Processor with Alti-time on a Sun UltraSPARC II server with 16 333-MHz processors by utilizing the Visual Instruction Set (VIS beamforming kernels to use AltiVec SIMD extension for the PowerPC. AltiVec can execute up to four 32-bit

  20. 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

  1. Single-photon decision maker

    E-Print Network [OSTI]

    Naruse, Makoto; Drezet, Aurelien; Huant, Serge; Aono, Masashi; Hori, Hirokazu; Kim, Song-Ju

    2015-01-01

    Decision making is critical in our daily lives and for society in general and is finding evermore practical applications in information and communication technologies. Herein, we demonstrate experimentally that single photons can be used to make decisions in uncertain, dynamically changing environments. Using a nitrogen-vacancy in a nanodiamond as a single-photon source, we demonstrate the decision-making capability by solving the multi-armed bandit problem. This capability is directly and immediately associated with single-photon detection in the proposed architecture, leading to adequate and adaptive autonomous decision making. This study makes it possible to create systems that benefit from the quantum nature of light to perform practical and vital intelligent functions.

  2. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01

    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 ...

  3. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01

    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 ...

  4. 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

    2009-08-10

    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.

  5. Engaging Non-IT Executives in IT Infrastructure Decisions

    E-Print Network [OSTI]

    Fonstad, Nils O.

    2008-07-01

    This case study describes how information technology (IT) managers from Insurance Co. successfully engaged non-IT executives in IT infrastructure investment decisions. This

  6. Optimized Fault Location Final Project Report

    E-Print Network [OSTI]

    Optimized Fault Location Final Project Report Power Systems Engineering Research Center A National Engineering Research Center Optimized Fault Location Concurrent Technologies Corporation Final Project Report

  7. Optimizing Low Temperature Diesel Combustion | Department of...

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

    Optimizing Low Temperature Diesel Combustion Optimizing Low Temperature Diesel Combustion Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on...

  8. 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.

    2012-10-26

    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.

  9. 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.

    2014-08-01

    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.

  10. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29

    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.

  11. Provably near-optimal algorithms for multi-stage stochastic optimization models in operations management

    E-Print Network [OSTI]

    Shi, Cong, Ph.D. Massachusetts Institute of Technology

    2012-01-01

    Many if not most of the core problems studied in operations management fall into the category of multi-stage stochastic optimization models, whereby one considers multiple, often correlated decisions to optimize a particular ...

  12. Convex Optimization Convex Optimization

    E-Print Network [OSTI]

    Masci, Frank

    Convex Optimization #12;#12;Convex Optimization Stephen Boyd Department of Electrical Engineering Cataloguing-in-Publication data Boyd, Stephen P. Convex Optimization / Stephen Boyd & Lieven Vandenberghe p. cm. Includes bibliographical references and index. ISBN 0 521 83378 7 1. Mathematical optimization. 2

  13. Decision Summaries | Department of Energy

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

    Information Center Decision Summaries Decision Summaries June 19, 2015 Summary of Decisions - June 15, 2015 - June 19, 2015 Decisions were issued on: - Personnel Security (10...

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

    SciTech Connect (OSTI)

    Schnabel, William; Brumbelow, Kelly

    2013-03-31

    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.

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

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

    Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Well-to-Wheels Analysis of Energy Use and...

  16. Vehicle Technologies Office: 2009 Advanced Vehicle Technology...

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

    Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report 2009avtaehvso.pdf More Documents &...

  17. Graduate Program Game Research Intro Game Technology

    E-Print Network [OSTI]

    Volk, Anja Fleischer

    2962014 1 Graduate Program Game Research Intro Game Technology 16 June 2014 Artificial Intelligence (AI) · incl. intelligent agents, data mining, & decision support systems Interaction Technology · incl. interaction computing & media technology Software Systems · incl. software technology & software production

  18. 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, ...

  19. 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, ...

  20. The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector

    E-Print Network [OSTI]

    Mercure, J -F; Foley, A M; Chewpreecha, U; Pollitt, H

    2013-01-01

    This paper presents an analysis of possible uses of climate policy instruments for the decarbonisation of the global electricity sector in a non-equilibrium economic and technology innovation-diffusion perspective. Emissions reductions occur through changes in technology and energy consumption; in this context, investment decision-making opportunities occur periodically, which energy policy can incentivise in order to transform energy systems and meet reductions targets. Energy markets are driven by innovation, dynamic costs and technology diffusion; yet, the incumbent systems optimisation methodology in energy modelling does not address these aspects nor the effectiveness of policy onto decision-making since the dynamics modelled take their source from the top-down `social-planner' assumption. This leads to an underestimation of strong technology lock-ins in cost-optimal scenarios of technology. Our approach explores the global diffusion of low carbon technology in connection to a highly disaggregated sector...

  1. 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.

    2005-01-01

    for Science, Technology and Public Policy, George Bush School of Government and Public Service Texas A&M University INTRODUCTION Senior Department of Defense leaders make numerous decisions about the appropriate utilization of complex scientific...-0084 Institute for Science, Technology and Public Policy, George Bush School of Government and Public Service Texas A&M University The poliheuristic theory thus embodies fundamental elements of two disciplines concerned with decision making...

  2. Fuzzy logic controller optimization

    DOE Patents [OSTI]

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

    2004-03-23

    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. 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

  5. Technology Performance Exchange

    SciTech Connect (OSTI)

    2015-09-01

    To address the need for accessible, high-quality data, the Department of Energy has developed the Technology Performance Exchange (TPEx). TPEx enables technology suppliers, third-party testing laboratories, and other entities to share product performance data. These data are automatically transformed into a format that technology evaluators can easily use in their energy modeling assessments to inform procurement decisions.

  6. Aging and decision making 

    E-Print Network [OSTI]

    Miller, Sophie

    2010-06-30

    The study sought to clarify the effects of aging in regard to decision making abilities. Decision making is dependent upon the Frontal Cortex structures; the Orbitofrontal Cortex and the Dorsolateral Prefrontal Cortex. These structures are thought...

  7. 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. ...

  8. Technology Performance Exchange

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

    Q3 Deliverable: Develop Site Workflows and Design Website Layout Q3 GoNo-Go DOE Decision Point: Passed Q1 Milestone: Develop Data Entry Forms Q2 Milestone: Release Technology...

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    schedulingsynthesis, planning, scheduling, supervision, maintenance, risk mgmt 10 #12;Supply Chain Raw material Chain Management · Fundamental Questions ­ What product (mix) to sell?p ( ) ­ What raw materials CLogistics LPG Chemicals Manufacturer D Arab Crude yLogistics Provider B Logistics LPG Crude Producer

  10. Healthcare Energy: Using End-Use Data to Inform Decisions | Department...

    Energy Savers [EERE]

    Using End-Use Data to Inform Decisions Healthcare Energy: Using End-Use Data to Inform Decisions The Building Technologies Office conducted a healthcare energy end-use monitoring...

  11. Which Is The Best of Them All – Hard Decisions, Smart Choices

    E-Print Network [OSTI]

    Leong, Tze Yun

    How do we make the best decisions in face of voluminous, complex, changing, and uncertain information? We describe a multi-disciplinary effort in developing the next generation decision analytic and engineering technologies. ...

  12. Markov Decision Processes: Models, Methods, Directions and Open Problems

    E-Print Network [OSTI]

    Shwartz, Adam

    of optimization models for the operation of multipurpose reser- voir systems does not seem widespread. Instead and the St-Lawrence seaway. Throughout the twentieth cen- tury, hydroelectric production has become a major modeling of reservoir management problems as Markov decision processes (MDP), and their optimization

  13. Decomposition methods for semidefinite optimization

    E-Print Network [OSTI]

    Sun, Yifan

    2015-01-01

    optimization . . . . . . . . . . . . . . . . . . . . . . . . . .Optimization over sparse matrixoptimization . . . . . . . . . . . . . . . . . . . . . . .

  14. THREE ESSAYS ON THE CHOICE OF DECISION-MAKING STRUCTURES IN ALLIANCES AND OTHER COMBINED VENTURES AND THE PERFORMANCE IMPLICATIONS OF SUCH CHOICE AT THE DYADIC AND FIRM LEVELS

    E-Print Network [OSTI]

    Martynov, Aleksey

    2011-07-07

    The optimal choice of a decision-making structure in alliances and other combined ventures is an important yet underexplored question. There is no single theory that predicts what types of decision-making structures will be optimal in different...

  15. Multimedia Explanations in IDEA Decision Support Systems Giuseppe Carenini and Johanna Moore

    E-Print Network [OSTI]

    Moore, Johanna D.

    modeled in decision analysis by the multi­attribute utility theory (MAUT) (Clemen 1996). According to MAUT. In the rest of the paper, we refer to this decision methodology as the MAUT­method. Although following the MAUT­method, the decision maker is assured to find optimal solutions with respect to well

  16. Utilizing optimization in municipal stormwater management 

    E-Print Network [OSTI]

    Dorman, Stephen Paul

    1995-01-01

    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...

  17. Optimization Online Links

    E-Print Network [OSTI]

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

  18. Design Optimization of Structural Health Monitoring Systems

    SciTech Connect (OSTI)

    Flynn, Eric B.

    2014-03-06

    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. A Bayesian Decision Model for Intelligent Routing in Sensor Networks

    E-Print Network [OSTI]

    Marques, Antonio Garcia

    A Bayesian Decision Model for Intelligent Routing in Sensor Networks Roc´io Arroyo-Valles, Antonio are considered in a Bayesian model in order to establish intelligent decision rules that make the network economize in crucial resources. I. INTRODUCTION Recent advances in sensor technology and wireless com

  20. Record of Decision Available

    Broader source: Energy.gov [DOE]

    DOE has recently published its Record of Decision announcing and explaining DOE’s chosen project alternative and describing any commitments for mitigating potential environmental impacts. The NEPA...

  1. CENTRAL PLATEAU REMEDIATION OPTIMIZATION STUDY

    SciTech Connect (OSTI)

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

    2012-09-19

    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.

  2. Decision making in a non-profit engineering environment

    SciTech Connect (OSTI)

    Christensen, D.C.

    1997-06-01

    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.

  3. Optimization Journals, Sites, Societies - Optimization Online

    E-Print Network [OSTI]

    Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...

  4. 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; Warrender, Christina E.; Morrow, James Dan

    2012-02-01

    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.

  5. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07

    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.

  6. Implementing Motor Decision Plans 

    E-Print Network [OSTI]

    Elliott, R. N.

    2001-01-01

    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...

  7. 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

    2010-01-01

    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.

  8. DENSE MEDIA CYCLONE OPTIMIZATION (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; EXPERT SYSTEMS; MAINTENANCE; OPTIMIZATION; PERFORMANCE; TECHNOLOGY TRANSFER; TRAINING Word Cloud More Like This Full Text...

  9. DYNAMIC RISK MANAGEMENT IN ELECTRICITY PORTFOLIO OPTIMIZATION

    E-Print Network [OSTI]

    Römisch, Werner

    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

  10. HOMER® Micropower Optimization Model

    SciTech Connect (OSTI)

    Lilienthal, P.

    2005-01-01

    NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.

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

    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 ace020reitz2011o.pdf More Documents & Publications Optimization...

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

    SciTech Connect (OSTI)

    Not Available

    2014-06-01

    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.

  13. 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

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

    SciTech Connect (OSTI)

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

    2005-11-05

    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.

  15. 1268 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 18, NO. 9, SEPTEMBER 2008 Dynamic Proposal Variance and Optimal Particle

    E-Print Network [OSTI]

    Schonfeld, Dan

    of the error between the true state and estimated state and use rate-distortion theory to determine the optimal to evaluate the proposed video tracking system and demonstrate its utility for target tracking in numerical- ment of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607

  16. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01

    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. ...

  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. Pricing postselection: the cost of indecision in decision theory

    E-Print Network [OSTI]

    Joshua Combes; Christopher Ferrie

    2015-04-14

    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.

  19. Communication Optimization for Customizable Domain-Specific Computing

    E-Print Network [OSTI]

    Xiao, Bingjun

    2015-01-01

    Optimization . . . . . . . . . . . . . . . . . . . . .Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . .176 Communication Optimization

  20. 2976 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 11, NO. 8, AUGUST 2012 Channel-Aware Decision Fusion in

    E-Print Network [OSTI]

    -Aware Decision Fusion in Distributed MIMO Wireless Sensor Networks: Decode-and-Fuse vs. Decode-then-Fuse Domenico, IEEE Abstract--We study channel-aware binary-decision fusion over a shared Rayleigh flat-fading channel with multiple antennas at the Decision Fusion Center (DFC). We present the optimal rule and derive sub

  1. Robust-Optimization — the elephant in the robust-satisficing room

    E-Print Network [OSTI]

    2012-09-24

    Sep 24, 2012 ... into sharp focus the relation between the robust-satisficing approach advocated by info-gap decision theory and Robust Optimization.

  2. 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

  3. 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.

    2006-08-01

    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.

  4. 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...

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

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

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

  6. Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Portfolio Planning by Weighted Graph Analysis of System Architectures Peter Davison architecture selection and technology investment decisions will constrain the system to certain regions architectures, with a view to enabling robustness to technology portfolio realization and later architectural

  7. 2012 - Optimization Online

    E-Print Network [OSTI]

    Convex and Nonsmooth Optimization Submissions - 2012. January 2012. Nonsmooth Optimization Necessary optimality conditions in pessimistic bilevel ...

  8. Optimization Online Links

    E-Print Network [OSTI]

    Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...

  9. Java Defensive Optimization

    E-Print Network [OSTI]

    Wang, Haoqing

    2015-01-01

    Optimization . . . . . . . . . . . . . . . . .annotation optimization . . . . . . . . . . . . . . . . .Opt. is the time after optimization. Anno- phos is the time

  10. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Decision and Information Daniel Polani Artificial Intelligence ­ p.1/26 Decisions: The Fundamental Task Motivation: everything in Artificial Intelligence is basical about taking Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about

  11. 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.

    2013-02-01

    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.

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

    E-Print Network [OSTI]

    Kim, Sun Woo

    2007-04-25

    performance such that close-to-optimal solutions are obtained among all participating decision entities. Partial information sharing refers to the fact that no entity has the complete information access needed to solve the optimization problem globally...

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

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01

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

  14. Optimal threshold policies in a workload model with a variable number of service phases per job \\Lambda

    E-Print Network [OSTI]

    Brouns, Gido

    models, admission and termination control, optimal threshold policies, Markov decision processes. 1 systems. The basic principle of performance optimization is the question of how to control some type of models for the optimal control of queueing systems. Emphasis is laid on models based on Markov decision

  15. The Options Approach to Software Prototyping Decisions 1

    E-Print Network [OSTI]

    . The field of real option theory in finance provides a rigorous framework to analyze the optimal exercise; Keywords: Software engineering, economics, prototyping, real options, sequential invest­ ing, financialThe Options Approach to Software Prototyping Decisions 1 Prasad Chalasani Somesh Jha Kevin Sullivan

  16. Plant-Wide Waste Management. 2. Decision Making under Uncertainty

    E-Print Network [OSTI]

    Linninger, Andreas A.

    Plant-Wide Waste Management. 2. Decision Making under Uncertainty Aninda Chakraborty and Andreas A of Illinois at Chicago, Chicago, Illinois 60607 The synthesis and optimization of plant-wide waste management flowsheet produces a superstructure that embeds all plant-wide waste management policies. In the subsequent

  17. 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 ...

  18. Spike-based Decision Learning of Nash Equilibria in Two-Player Games

    E-Print Network [OSTI]

    Senn, Walter

    Spike-based Decision Learning of Nash Equilibria in Two- Player Games Johannes Friedrich, Walter game. It performs optimally according to a pure (deterministic) and mixed (stochastic) Nash equilibrium automated decision learning of a Nash equilibrium in two-player games. Citation: Friedrich J, Senn W (2012

  19. Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01

    and Optimization of PEMFC Systems and its Application toand Optimization of PEMFC Systems and its Application onExchange Membrane fuel cell (PEMFC) technology for use in

  20. Optimization Online - Nonlinear Optimization Submissions - 2014

    E-Print Network [OSTI]

    Nonlinear Optimization Submissions - 2014. January 2014. Constrained Nonlinear Optimization New active set identification for general constrained ...

  1. Optimal threshold policies in a workload model with a variable number of service phases per job

    E-Print Network [OSTI]

    Brouns, Gido

    and termination control, optimal threshold policies, Markov decision processes. 1 Introduction Workload models of performance optimization is the question of how to control some type of system in an optimal way within in literature so far. Stidham and Weber 4 present a comprehensive overview of models for the optimal control

  2. Local energy management through mathematical modeling and optimization

    E-Print Network [OSTI]

    Craft David (David Loren), 1973-

    2004-01-01

    (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 ...

  3. Essays on Bank Optimal Portfolio Choice under Liquidity Constraint 

    E-Print Network [OSTI]

    Kim, Eul Jin

    2012-10-19

    Long term asset creates more revenue, however it is riskier in a liquidity sense. Our question is: How does a liquidity constrained bank make decisions between profitability and liquidity? We present a computable DSGE model of banks optimal...

  4. Optimal reservoir management using adaptive reduced-order models

    E-Print Network [OSTI]

    Alghareeb, Zeid M

    2015-01-01

    Reservoir management and decision-making is often cast as an optimization problem where we seek to maximize the field's potential recovery while minimizing associated operational costs. Two reservoir management aspects are ...

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

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

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

  6. 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.

    2013-02-08

    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.

  7. Real-Time Utility System Optimization 

    E-Print Network [OSTI]

    Fernandez-Polanco, D.; Eastwood, A.; Knight, N.

    2004-01-01

    be defined for each process unit and then combined using the production plan to calculate predicted steam, power and fuel demands. The optimizer model can then determine in advance how the site should react. This can be especially useful for planning... OPTIMIZATION Diego Fernández-Polanco Linnhoff March, a division of KBC Process Technology Ltd. Northwich, UK Alan Eastwood Linnhoff March, a division of KBC Process Technology Ltd. Northwich, UK Nicola Knight KBC Advanced Technologies Inc...

  8. Decision support for disaster management

    E-Print Network [OSTI]

    Rolland, Erik; Patterson, Raymond A.; Ward, Keith; Dodin, Bajis

    2010-01-01

    of the disaster management organizations. Therefore, thishybrid meta-heuristics. Keywords Disaster management . Meta-heuristics . Project management . Scheduling . Decision

  9. Risk-Based Comparison of Carbon Capture Technologies

    SciTech Connect (OSTI)

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

    2013-05-01

    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.

  10. Arsenic in Bangladesh Decision analysis

    E-Print Network [OSTI]

    Gelman, Andrew

    Arsenic in Bangladesh Decision analysis Regression models Take-home points Arsenic and old models 2007 Andrew Gelman Arsenic and old models #12;Arsenic in Bangladesh Decision analysis Regression models Take-home points Contents Aresenic in Bangladesh Decision analysis Regression models Andrew Gelman

  11. Risk Analysis and Decision Making FY 2013 Milestone Report

    SciTech Connect (OSTI)

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

    2013-06-01

    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.

  12. Decision Theory A Brief Introduction

    E-Print Network [OSTI]

    Fitelson, Branden

    Department of Philosophy and the History of Technology Royal Institute of Technology (KTH) Stockholm #12

  13. Climate Information Needs for Financial Decision Making

    SciTech Connect (OSTI)

    Higgins, Paul

    2013-11-19

    Climate Information Needs for Financial Decision Making (Final Report) This Department of Energy workshop award (grant #DE-SC0008480) provided primary support for the American Meteorological Society’s study on climate information needs for financial decision making. The goal of this study was to help advance societal decision making by examining the implications of climate variability and change on near-term financial investments. We explored four key topics: 1) the conditions and criteria that influence returns on investment of major financial decisions, 2) the climate sensitivity of financial decisions, 3) climate information needs of financial decision makers, and 4) potential new mechanisms to promote collaboration between scientists and financial decision makers. Better understanding of these four topics will help scientists provide the most useful information and enable financial decision makers to use scientific information most effectively. As a result, this study will enable leaders in business and government to make well-informed choices that help maximize long-term economic success and social wellbeing in the United States The outcomes of the study include a workshop, which brought together leaders from the scientific and financial decision making communities, a publication of the study report, and a public briefing of the results to the policy community. In addition, we will present the results to the scientific community at the AMS Annual Meeting in February, 2014. The study results were covered well by the media including Bloomberg News and E&E News. Upon request, we also briefed the Office of Science Technology Policy (OSTP) and the Council on Environmental Quality (CEQ) on the outcomes. We presented the results to the policy community through a public briefing in December on Capitol Hill. The full report is publicly available at www.ametsoc.org/cin. Summary of Key Findings The United States invests roughly $1.5 trillion U.S. dollars (USD) in capital assets each year across the public and private sectors (Orszag 2008; United States Census Bureau 2013). Extreme weather events create and exacerbate risks to these financial investments by contributing to: • Direct physical impacts on the investments themselves • Degradation of critical supporting infrastructure • Changes in the availability of key natural resources • Changes to workforce availability or capacity • Changes in the customer base • Supply chain disruptions • Legal liability • Shifts in the regulatory environment • Reductions in credit ratings Even small changes in weather can impact operations in critical economic sectors. As a result, maximizing returns on financial investments depends on accurately understanding and effectively accounting for these risks. Climate variability and change can either exacerbate existing risks or cause new sources of risk to emerge. Managing these risks most effectively will depend on scientific advances and increases in the capacity of financial decision makers to use the scientific knowledge that results. Barriers to using climate information must also be overcome. This study proposes three predefined levels of certainty for communicating about weather and climate risks: 1) possible (i.e., unknown likelihood or less than 50% chance of occurrence), 2) probable (greater than 50% chance of occurrence), and 3) effectively certain (at least 95% chance of occurrence). For example, it is effectively certain that a change in climate will alter weather patterns. It is probable that climate warming will cause increases in the intensity of some extreme events. It is possible that climate change will cause major and widespread disruptions to key planetary life-support services. Key recommendations of this study: 1) Identify climate-related risks and opportunities for financial decision making. 2) Create a framework to translate scientific information in clear and actionable terms for financial decision makers. 3) Analyze existing climate assessments and translate projected impacts into possible, probable,

  14. Technology Transfer Webinar on November 12: High-Performance...

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

    Transfer Webinar on November 12: High-Performance Hybrid SimulationMeasurement-Based Tools for Proactive Operator Decision-Support Technology Transfer Webinar on November 12:...

  15. Approximation of Stationary Control Policies by Quantized Control in Markov Decision Processes

    E-Print Network [OSTI]

    Yüksel, Serdar

    Approximation of Stationary Control Policies by Quantized Control in Markov Decision Processes Naci quantizers are also derived. Thus, one can search for -optimal policies within quantized control policies. These pave the way for applications in optimal design of networked control systems where controller actions

  16. Dynamic diagnostic and decision procedures under uncertainty

    SciTech Connect (OSTI)

    Baranov, V.V.

    1995-01-01

    In this paper, we consider uncertainty that arises when the true state x {element_of} E is not accessible to direct observation and remains unknown. Instead, we observe some features {theta} {element_of} {Theta} that carry a certain information about the true state. This information is described by the conditional distribution P({Theta}{vert_bar}E), which we call the linkage distribution. Regarding this distribution we assume that it exists but is unknown. This leads to uncertainty with respect to states from E and the linkage distribution P({Theta}{vert_bar}E), which we denote by NEP. The substantive problem can be stated as follows: from observations of the features {theta}{element_of}{Theta} made at each time instant n = 1,2,...,recognize the state x {element_of} E, identify the linkage distribution P, and use the results of recognition and identification to choose a decision y {element_of} Y so that the decision process is optimal in some sense. State recognition is the subject of diagnostics. The uncertainty NEP thus generates a problem of diagnostics and dynamic decision making.

  17. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01

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

  18. Continuous-Time Markov Decision Processes 243 Vidale M.L. and Wolfe H.B. (1957). An Operations Research Study of Sales

    E-Print Network [OSTI]

    Cao, Xiren

    1957-01-01

    Continuous-Time Markov Decision Processes 243 Vidale M.L. and Wolfe H.B. (1957). An Operations. Theoretical Population Biology 11, 182­238. Wu C.B. (1997). Continuous Time Markov Decision Processes in Continuous in Action Markov Decision Processes. SIAM Journal on Control and Optimization 35, 2157­ 2182

  19. Photovoltaic decision analysis

    E-Print Network [OSTI]

    Goldman, Neil L.

    1977-01-01

    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

  20. Technology Assessment TECHNOLOGY ASSESSMENT

    E-Print Network [OSTI]

    Rock, Chris

    Technology Assessment 10/14/2004 1 TECHNOLOGY ASSESSMENT STRATEGIC PLAN MISSION STATEMENT Support the Mission of Texas Tech University and the TTU Information Technology Division by providing timely and relevant information and assistance in current and emerging technologies and their practical applications

  1. Bioscience Technology Bioscience Technology

    E-Print Network [OSTI]

    Vertes, Akos

    Bioscience Technology Bioscience Technology Advantage Business Media 100 Enterprise Drive Rockaway, co-director of George Washington University's Institute for Proteomics Technology and Applications-by-point. Manufacturers have stampeded to offer the new technology. Applied Biosystems got out in front in 2004 when

  2. 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...

  3. Policy implications of technologies for cognitive enhancement

    SciTech Connect (OSTI)

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

    2007-02-01

    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.

  4. Optimization problems

    E-Print Network [OSTI]

    dominic

    2013-03-26

    Lesson 30. Optimization (I). 1. A woman wants to build a rectangular garden next to a straight river. She will enclose the garden on 3 sides with fencing—the ...

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

    E-Print Network [OSTI]

    Malasky, Jeremy S

    2005-01-01

    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 ...

  6. Factored MDPs for Optimal Prosumer Decision-Making Angelos Angelidakis

    E-Print Network [OSTI]

    Chalkiadakis, Georgios

    .ifaamas.org). All rights reserved. producing electricity from (mainly) renewable energy resources, and which has. Paradigms of such community-oriented and renewable energy-relying microgrids are expected to be commonplace a consumer) when selling and buying energy in the emerging smart electricity grid, is of utmost importance

  7. Human-Automation Path Planning Optimization and Decision Support

    E-Print Network [OSTI]

    Cummings, M.L.

    2011-01-01

    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 ...

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

    E-Print Network [OSTI]

    2012-09-19

    ... the intermittent supply of electricity from renewable power sources such as wind, ... bids, all remaining imbalances are automatically cleared at the balancing

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

    E-Print Network [OSTI]

    Kusiak, Andrew

    . In addition, devices such as air-side economizers are also used in ventilation systems to reduce energy Accepted 24 July 2009 Available online 15 August 2009 Keywords: Ventilation Air quality Multi. Using the CO2 concentration as the major indoor air quality index and expected room occupancy schedule

  10. Optimal Decisions with Multiple Agents of Varying Performance

    E-Print Network [OSTI]

    Silverman, Noah

    2013-01-01

    data (impressions, clicks, conversions, position, bids,bid term • Related term CTR • Unigrams from ad text • keyword specificity • External databids will cause our ad position to change. However, we are never able to see that data.

  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.

    2005-11-01

    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. 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

  13. Optimizing Offloading Strategies in Mobile Cloud Computing

    E-Print Network [OSTI]

    Hyytiä, Esa

    , Sophia-Antipolis France J¨org Ott Department of Communications and Networking, Aalto University Finland, energy consumption, communication costs and the expected delays. We approach this challenging problem in the framework of Markov decision processes and derive a near-optimal offloading policy. I. INTRODUCTION We

  14. Optimizing Router Placement for Wireless Mesh Deployment

    E-Print Network [OSTI]

    Chan, Shueng-Han Gary

    Optimizing Router Placement for Wireless Mesh Deployment Wangkit Wong Simbarashe Dzinamarira S-channel (MRMC) wireless mesh networks (WMNs) is largely affected by interference, which depends on router router placement changes network topology which in turns impacts routing and channel decisions, while

  15. 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

  16. A Decision Support System for Optimum Use of Fertilizers

    SciTech Connect (OSTI)

    Hoskinson, Reed Louis; Hess, John Richard; Fink, Raymond Keith

    1999-07-01

    The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific, economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systems’ infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming. We depict this information revolution in agriculture as an historic trend in the agricultural decision-making process.

  17. Optimization Online - Nonlinear Optimization Submissions - 2013

    E-Print Network [OSTI]

    Nonlinear Optimization Submissions - 2013. January 2013. A Framework of Constraint Preserving Update Schemes for Optimization on Stiefel Manifold

  18. Optimization Online - Nonlinear Optimization Submissions - 2012

    E-Print Network [OSTI]

    Nonlinear Optimization Submissions - 2012. January 2012. Systems governed by Differential Equations Optimization Squeeze-and-Breathe Evolutionary Monte ...

  19. The Feasibility of Studying Decision Making Using a Virtual World

    E-Print Network [OSTI]

    McShea, Daniel W.

    The Feasibility of Studying Decision Making Using a Virtual World Environment Jerry W. Hedge Brooke/judgmental · Research Test Bed ­ Real World ­ Naturalistic ­ Simulated #12;Border Crossing Checkpoint #12;Current Study and Procedures · Development of Virtual World Environment · Beta Test of VWE and Measurement Technologies #12

  20. Analytical Analysis of Data and Decision Fusion in Sensor Networks

    E-Print Network [OSTI]

    Terwilliger, Mark

    Analytical Analysis of Data and Decision Fusion in Sensor Networks Zille Huma Kamal, Mohammad Ali Michigan University Kalamazoo, MI, USA Abstract - MEMS technology has improved such that the capabilities of large sensor devices can now be encompassed in devices that are the size of a penny. These resource

  1. Power-Aware FPGA Logic Synthesis Using Binary Decision Diagrams

    E-Print Network [OSTI]

    Tessier, Russell

    with signal switching estimates to achieve power-efficient circuit networks. The results of synthesis and subsequent power-aware technology mapping are evaluated using two distinct physical design platforms Circuits]: Design Aids General Terms Algorithms Keywords FPGA, Binary decision diagram, Dynamic power 1

  2. Web-Based Economic and Environmental Optimization of Microgrids

    E-Print Network [OSTI]

    Stadler, Michael

    2014-01-01

    Optimization of Microgrids M. Stadler, C. Marnay, N.Our contribution to microgrids / global concept • What isOur Contribution to Microgrids Technology research Testing

  3. Critical Oxidation Reactions Optimized with Solvent Swap | The...

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

    product with a high level of selectivity. Uncovering optimal conditions for widely-used chemical reactions is vital to creating technologically viable pathways for more...

  4. 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...

  5. 2014 - Optimization Online

    E-Print Network [OSTI]

    Convex and Nonsmooth Optimization Submissions - 2014. January 2014. Convex Optimization Generalized Gauss Inequalities via Semidefinite Programming

  6. Carver Performance and Optimization

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

    Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03...

  7. Optimization Tansu Alpcan

    E-Print Network [OSTI]

    Hutter, Marcus

    Optimization Difficulty Tansu Alpcan Introduction Definitions and Model Optimization Difficulty Bounds on Optimization Difficulty Conclusion Can we measure the difficulty of an optimization problem Science Australian National University ITW 2014, Hobart 1 / 22 #12;Optimization Difficulty Tansu Alpcan

  8. Latent effects decision analysis

    DOE Patents [OSTI]

    Cooper, J. Arlin (Albuquerque, NM); Werner, Paul W. (Albuquerque, NM)

    2004-08-24

    Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as `soft aggregation` is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).

  9. SOCIALLY OPTIMAL CHARGING STRATEGIES FOR ELECTRIC VEHICLES

    E-Print Network [OSTI]

    Ciocan-Fontanine, Ionut

    SOCIALLY OPTIMAL CHARGING STRATEGIES FOR ELECTRIC VEHICLES ELENA YUDOVINA AND GEORGE MICHAILIDIS Abstract. Electric vehicles represent a promising technology for reducing emissions and dependence. This pa- per studies decentralized policies that assign electric vehicles to a network of charging

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

    E-Print Network [OSTI]

    Rand-Nash, Thomas

    2012-01-01

    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 ...

  11. Optimizing Java Theory and Practice

    E-Print Network [OSTI]

    Budimliæ, Zoran

    Optimizing Java Theory and Practice Zoran Budimlic Ken Kennedy Rice University Computer Science popularity of the Internet has made an instant star of the Java programming language. Java's portability Java implementation, even with just­in­time compilation technology, is far behind the most popular

  12. -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

  13. 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

  14. An environmentally sustainable decision model for urban solid waste management

    SciTech Connect (OSTI)

    Costi, P.; Minciardi, R.; Robba, M.; Rovatti, M.; Sacile, R

    2004-07-01

    The aim of this work is to present the structure and the application of a decision support system (DSS) designed to help decision makers of a municipality in the development of incineration, disposal, treatment and recycling integrated programs. Specifically, within a MSW management system, several treatment plants and facilities can generally be found: separators, plants for production of refuse derived fuel (RDF), incinerators with energy recovery, plants for treatment of organic material, and sanitary landfills. The main goal of the DSS is to plan the MSW management, defining the refuse flows that have to be sent to recycling or to different treatment or disposal plants, and suggesting the optimal number, the kinds, and the localization of the plants that have to be active. The DSS is based on a decision model that requires the solution of a constrained non-linear optimization problem, where some decision variables are binary and other ones are continuous. The objective function takes into account all possible economic costs, whereas constraints arise from technical, normative, and environmental issues. Specifically, pollution and impacts, induced by the overall solid waste management system, are considered through the formalization of constraints on incineration emissions and on negative effects produced by disposal or other particular treatments.

  15. FEATURE ARTICLES Group Decision Making

    E-Print Network [OSTI]

    FEATURE ARTICLES Group Decision Making in Honey Bee Swarms When 10,000 bees go house hunting, how a neighboring colony. A striking example of decision mak- ing by an animal group is the choice of a nesting site paper on house hunting by honey bees. Lindauer was then a postdtx:toral stu- dent at the University

  16. Interconnection networks synthesis and optimization

    E-Print Network [OSTI]

    Zhu, Yi

    2008-01-01

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

  17. Optimize Parallel Pumping Systems: Industrial Technologies Program...

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

    a constant rate when these pumps approach no-flow or shutoff head. Some efficient, high-headlow-capacity, centrifugal pumps used in process industries have "drooping" pump...

  18. Plant Optimization Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidential PermitDAYS - WE NEED ADr. PeterPV),Year 2016is aPlant

  19. Energy Optimized Desalination Technology Development Workshop - November

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographic courtesyEducation DataMay 24, 2011September 10, 20145-6,

  20. FTN4 OPTIMIZATION TECHNIQUES.

    E-Print Network [OSTI]

    Authors, Various

    2012-01-01

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

  1. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01

    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 ...

  2. Interactions between learning and decision making

    E-Print Network [OSTI]

    Tulabandhula, Theja

    2014-01-01

    We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by ...

  3. Contributions to risk-informed decision making

    E-Print Network [OSTI]

    Elliott, Michael A. (Michael Alfred)

    2010-01-01

    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 ...

  4. Incorporating uncertainty into electric utility projections and decisions

    SciTech Connect (OSTI)

    Hanson, D.A.

    1992-01-01

    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.

  5. 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.

    2012-10-24

    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.

  6. Optimization Online - Nonlinear Optimization Submissions - 2015

    E-Print Network [OSTI]

    Nonlinear Optimization Submissions - 2015. January 2015. On iteratively reweighted Algorithms for Non-smooth Non-convex Optimization in Computer Vision

  7. 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

  8. 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

  9. [SIAM conference on optimization

    SciTech Connect (OSTI)

    Not Available

    1992-05-10

    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.

  10. Financial Implications of Engineering Decisions 

    E-Print Network [OSTI]

    Aslan, Veysel

    2012-10-19

    planning and engineering decisions have detrimental effects on communities as they attempt to recover and rebuild. While there is an inherent difficulty in the quantification of the cost of human life, interruption in business operations, and damage...

  11. Faience Technology

    E-Print Network [OSTI]

    Nicholson, Paul

    2009-01-01

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

  12. technology offer Vienna University of Technology | Research and Transfer Support | Claudia Doubek

    E-Print Network [OSTI]

    Szmolyan, Peter

    of methane recovery (from 98,0 to 99,5 %). Technology The technology comprises: Cost optimized new permeatortechnology offer Vienna University of Technology | Research and Transfer Support | Claudia Doubek has become an important technology. In spite of recent developments, there is still a high potential

  13. Optimization Online - Coordinators

    E-Print Network [OSTI]

    Optimization Online Coordinators. Optimization Online submissions are electronically handled by a team of volunteer coordinators: Principal Coordinators.

  14. 2001 - Optimization Online

    E-Print Network [OSTI]

    Convex and Nonsmooth Optimization Submissions - 2001. January 2001. Convex Optimization Two properties of condition numbers for convex programs via ...

  15. FTN4 OPTIMIZATION TECHNIQUES.

    E-Print Network [OSTI]

    Authors, Various

    2012-01-01

    OPTIMIZATION When OPT=2 is specified on the FTN control statement, the compiler optimizes the user code in the process

  16. Optimizing Performance

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/O Streams for Large-scale Scientific SimulationsOptimizing

  17. In-Space Transportation Infrastructure Architecture Decisions Using a Weighted Graph Approach

    E-Print Network [OSTI]

    de Weck, Olivier L.

    and Technology Skolkovo 143025, Russia crawley@skolkovotech.ru Abstract-- The selection of an architecture with nodes corresponding to architecture- technology combinations and edges corresponding to the abilityIn-Space Transportation Infrastructure Architecture Decisions Using a Weighted Graph Approach Peter

  18. 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

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

    E-Print Network [OSTI]

    Watt, Hing Yan

    1973-01-01

    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. ...

  20. Call for Papers Special Issue on Integrated Decision Support Systems

    E-Print Network [OSTI]

    Winckler, Marco Antonio Alba

    ); integration of decisions across both forward supply chains and reverse logistics; integration of decisions

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

    E-Print Network [OSTI]

    Simpson, R. W.

    1986-01-01

    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 ...

  2. Online Produced Water Treatment Catalog and Decision Tool

    SciTech Connect (OSTI)

    J. Arthur

    2012-03-31

    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.

  3. Event-driven multithreaded dynamic optimization

    E-Print Network [OSTI]

    Zhang, Weifeng

    2006-01-01

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

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQ FReportDOE4WellsSignatureseeksNuclearfor

  5. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQ

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

    E-Print Network [OSTI]

    Dreher, Jonathan J. (Jonathan Jacob)

    2010-01-01

    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 ...

  7. Zielinski et al. Social-Media Mining for Decision Support in Natural Crisis Proceedings of the 10th

    E-Print Network [OSTI]

    Tokarchuk, Laurissa

    is integrated into the decision-support component of a Tsunami early warning system and demonstrates-temporal decision making component (DSS) and integrated it with a tsunami warning system that is able in Natural Crisis Management Zielinski, Andrea Fraunhofer Institute of Optronics, System Technologies

  8. EVALUATING ENVIRONMENTAL DECISION SUPPORT TOOLS.

    SciTech Connect (OSTI)

    SULLIVAN, T.

    2004-10-01

    Effective contaminated land management requires a number of decisions addressing a suite of technical, economic, and social concerns. These concerns include human health risks, ecological risks, economic costs, technical feasibility of proposed remedial actions, and the value society places on clean-up and re-use of formerly contaminated lands. Decision making, in the face of uncertainty and multiple and often conflicting objectives, is a vital and challenging role in environmental management that affects a significant economic activity. Although each environmental remediation problem is unique and requires a site-specific analysis, many of the key decisions are similar in structure. This has led many to attempt to develop standard approaches. As part of the standardization process, attempts have been made to codify specialist expertise into decision support tools. This activity is intended to facilitate reproducible and transparent decision making. The process of codifying procedures has also been found to be a useful activity for establishing and rationalizing management processes. This study will have two primary objectives. The first is to develop taxonomy for Decision Support Tools (DST) to provide a framework for understanding the different tools and what they are designed to address in the context of environmental remediation problems. The taxonomy will have a series of subject areas for the DST. From these subjects, a few key areas will be selected for further study and software in these areas will be identified. The second objective, will be to review the existing DST in the selected areas and develop a screening matrix for each software product.

  9. 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

  10. Making Compressed Air System Decisions 

    E-Print Network [OSTI]

    Porri, R. E.

    1996-01-01

    stream_source_info ESL-IE-96-04-32.pdf.txt stream_content_type text/plain stream_size 5121 Content-Encoding ISO-8859-1 stream_name ESL-IE-96-04-32.pdf.txt Content-Type text/plain; charset=ISO-8859-1 MAKING COMPRESSED AIR... SYSTEM DECISIONS Richard E. Porri Product Manager ABSTRACT This paper presents a decision making process that will pennit the design, installation and operation ofa high efficiency and reliable compressed air system. The design of a compressed air...

  11. Digital Actuator Technology

    SciTech Connect (OSTI)

    Ken Thomas; Ted Quinn; Jerry Mauck; Richard Bockhorst

    2014-09-01

    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.

  12. 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

  13. Growth of c-axis oriented ZnO nanowires from aqueous solution: The decisive role of a seed layer for controlling the wires' diameter

    E-Print Network [OSTI]

    Growth of c-axis oriented ZnO nanowires from aqueous solution: The decisive role of a seed layer,c,d,Ã a Center of Materials Technology and Laser, School of Applied Technology, Technological Educational Heraklion, Crete, Greece c Institute of Electronic Structure and Laser, Foundation for Research & Technology

  14. Dynamic Decision Making for Graphical Models Applied to Oil Exploration

    E-Print Network [OSTI]

    Martinelli, Gabriele; Hauge, Ragnar

    2012-01-01

    We present a framework for sequential decision making in problems described by graphical models. The setting is given by dependent discrete random variables with associated costs or revenues. In our examples, the dependent variables are the potential outcomes (oil, gas or dry) when drilling a petroleum well. The goal is to develop an optimal selection strategy that incorporates a chosen utility function within an approximated dynamic programming scheme. We propose and compare different approximations, from simple heuristics to more complex iterative schemes, and we discuss their computational properties. We apply our strategies to oil exploration over multiple prospects modeled by a directed acyclic graph, and to a reservoir drilling decision problem modeled by a Markov random field. The results show that the suggested strategies clearly improve the simpler intuitive constructions, and this is useful when selecting exploration policies.

  15. Vehicle Technologies Office: 2011 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. 2011vsstreport.pdf More Documents & Publications Vehicle Technologies Office:...

  16. 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:...

  17. 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:...

  18. 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

  19. 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

  20. Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading

    E-Print Network [OSTI]

    Papalambros, Panos

    Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascadingà Jeremy to consumers and are feasible to produce. The resulting marketing and engineering design goals are driven of coordinating marketing and engineering design problems in a way that is proven to yield the joint optimal

  1. Risk Aware Robust Decision Making in Power Systems with Renewable Resources 

    E-Print Network [OSTI]

    Thatte, Anupam Ajit

    2014-10-29

    for the combination of a wind farm and an energy storage device participating in a deregulated electricity market. The selection of the uncertainty set for the robust optimization problem, based on the decision maker’s risk preference, is also discussed. From...

  2. Offload (Only) the Right Jobs: Robust Offloading Using the Markov Decision Processes

    E-Print Network [OSTI]

    Hyytiä, Esa

    ¨a Aalto University, Finland Thrasyvoulos Spyropoulos EURECOM, Sophia-Antipolis, France J¨org Ott Aalto of WLAN hotspots, energy consumption, communication costs and the expected delays. We approach this challenging problem in the framework of Markov decision processes and derive a near-optimal offloading policy

  3. Silvya Dewi Rahmawati Integrated Field Modeling and Optimization

    E-Print Network [OSTI]

    Foss, Bjarne A.

    Technology, Mathematics and Electrical Engineering Department of Engineering Cybernetics #12;ii Summary Oil of philosophiae doctor Trondheim, March 2012 Norwegian University of Science and Technology Faculty of Information with optimization presents many technological challenges in terms efficient algorithms to couple models, as well

  4. Optimal refrigerator

    E-Print Network [OSTI]

    Armen E. Allahverdyan; Karen Hovhannisyan; Guenter Mahler

    2010-07-25

    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_hisolated 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 $n\\gg 1$.

  5. Optimization and geophysical inverse problems

    E-Print Network [OSTI]

    Barhen, J.

    2008-01-01

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

  6. 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

  7. 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 ...

  8. Essays on optimal taxation

    E-Print Network [OSTI]

    Reis, Catarina (Catarina Luis Monteiro dos)

    2007-01-01

    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 ...

  9. Optimization Online - Combinatorial Optimization Submissions - 2015

    E-Print Network [OSTI]

    Combinatorial Optimization Submissions - 2015. January 2015. Polyhedra Steiner Trees with Degree Constraints: Structural Results and an Exact Solution ...

  10. Optimization Online - Robust Optimization Submissions - 2013

    E-Print Network [OSTI]

    Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing

  11. Optimization Online - Combinatorial Optimization Submissions - 2014

    E-Print Network [OSTI]

    Combinatorial Optimization Submissions - 2014. January 2014. Approximation Algorithms Worst-Case Performance Analysis of Some Approximation Algorithms  ...

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

    E-Print Network [OSTI]

    Alhuthali, Ahmed Humaid H.

    2010-01-16

    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...

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

    E-Print Network [OSTI]

    Berkelmans, Ingrid (Ingrid M.)

    2010-01-01

    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. ...

  14. Policies - Optimization Online

    E-Print Network [OSTI]

    Mission statement. Optimization Online is a repository of eprints about optimization and related topics. It facilitates quick dissemination of new research of ...

  15. Optimization Online - Digest

    E-Print Network [OSTI]

    Subscribe to the Optimization Online Digest. Complete the form below to subscribe to the free Optimization Online Digest. Every month you will receive an e-mail ...

  16. Credits - Optimization Online

    E-Print Network [OSTI]

    Credits. Development Optimization Online was developed by Jean-Pierre Goux. Optimization Online was conceived by Jean-Pierre Goux, Sanjay Mehrotra, and ...

  17. 2. Spreadsheets David Keil Introduction to Information Technology Spring 2015 1D. Keil Introduction to Information Technology Spring 2015

    E-Print Network [OSTI]

    Keil, David M.

    2. Spreadsheets David Keil Introduction to Information Technology Spring 2015 1D. Keil Introduction to Information Technology Spring 2015 David M. Keil, Framingham State University CSCI 120 Introduction to Information Technology 2. Spreadsheets and decision support 1. Using spreadsheet formulas 2. Cell referencing

  18. Tank Waste Remediation System optimized processing strategy

    SciTech Connect (OSTI)

    Slaathaug, E.J.; Boldt, A.L.; Boomer, K.D.; Galbraith, J.D.; Leach, C.E.; Waldo, T.L.

    1996-03-01

    This report provides an alternative strategy evolved from the current Hanford Site Tank Waste Remediation System (TWRS) programmatic baseline for accomplishing the treatment and disposal of the Hanford Site tank wastes. This optimized processing strategy performs the major elements of the TWRS Program, but modifies the deployment of selected treatment technologies to reduce the program cost. The present program for development of waste retrieval, pretreatment, and vitrification technologies continues, but the optimized processing strategy reuses a single facility to accomplish the separations/low-activity waste (LAW) vitrification and the high-level waste (HLW) vitrification processes sequentially, thereby eliminating the need for a separate HLW vitrification facility.

  19. Investigating online decision-making styles 

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15

    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 ...

  20. Politically rational foreign policy decision-making 

    E-Print Network [OSTI]

    Kent, Charles Todd

    2006-10-30

    This dissertation is an analysis of how presidents make foreign policy decisions. Rather than explaining foreign policy decisions by focusing on individuals or institutions, I stress the role of political pressures and ...

  1. |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

  2. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

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

    2006-01-01

    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, ...

  3. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01

    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 ...

  4. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium Analysis Jennifer Morris* , Mort Webster* and John Reilly* Abstract The electric power sector, which

  5. 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

  6. Optimization For Grade Transitions In Polyethylene Solution Polymerization

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , Comonomer, Catalyst, Solvent, Hydrogen 2 1. Che I Kao et al. Non-adiabatic olefin solution polymerizationOptimization For Grade Transitions In Polyethylene Solution Polymerization Jun Shi1, Lorenz T of Advanced Process Decision-making Department of Chemical Engineering Carnegie Mellon University 2The Dow

  7. Optimization For Grade Transitions In Polyethylene Solution Polymerization

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimization For Grade Transitions In Polyethylene Solution Polymerization Jun Shi1, Intan Hamdan2, Sarat Munjal2, Lorenz T. Biegler1 1Center of Advanced Process Decision-making Department of Chemical perfect mixing · Three types of variables · Manipulated variables · Ethylene, comonomer, hydrogen

  8. A HIERARCHICAL DESIGN OPTIMIZATION FRAMEWORK FOR BUILDING PERFORMANCE ANALYSIS

    E-Print Network [OSTI]

    Papalambros, Panos

    A HIERARCHICAL DESIGN OPTIMIZATION FRAMEWORK FOR BUILDING PERFORMANCE ANALYSIS Ruchi Choudhary1 the consistency between decisions made at various points during building performance analysis. Analytical Target values of performance goals compatible with one another. Application to the energy analysis of a three

  9. 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

  10. Tax policy can change the production path: A model of optimal oil extraction in Alaska

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    1 Tax policy can change the production path: A model of optimal oil extraction in Alaska Wayne@primal.ucdavis.edu * Corresponding author ABSTRACT We model the economically optimal dynamic oil production decisions for seven and an estimated inverse production function, which incorporates engineering aspects of oil production into our

  11. NESTED BATCH MODE LEARNING AND STOCHASTIC OPTIMIZATION WITH AN APPLICATION TO SEQUENTIAL

    E-Print Network [OSTI]

    Powell, Warren B.

    . optimal learning, materials science, sequential design of experiments, decision making, dynamicNESTED BATCH MODE LEARNING AND STOCHASTIC OPTIMIZATION WITH AN APPLICATION TO SEQUENTIAL MULTI-STAGE TESTING IN MATERIALS SCIENCE YINGFEI WANG, KRISTOFER G. REYES, KEITH A. BROWN§, CHAD A. MIRKIN

  12. 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

  13. Optimal Supplier Choice with Discounting B. Goldengorin, J. Keane, V. Kuzmenko & M. K-S. Tso

    E-Print Network [OSTI]

    Sidorov, Nikita

    Optimal Supplier Choice with Discounting B. Goldengorin, J. Keane, V. Kuzmenko & M. K-S. Tso First of Mathematics, The University of Manchester #12;Optimal supplier choice with discounting B Goldengorin, J. Keane suppliers operate discount schedules based on total business value. We formulate the buyers's decision

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

    SciTech Connect (OSTI)

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

    1987-05-01

    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.

  15. Appropriate Combinations of Technology for Solving Landscape Management Problems

    E-Print Network [OSTI]

    Appropriate Combinations of Technology for Solving Landscape Management Problems Session F of Landscape Architecture and Regional Plan- ning, University of Massachusetts, Amherst, Mass. INTRODUCTION public involve- ment in preservation, protection, or develop- ment decisions. High slopes, natural river

  16. 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 ...

  17. Exploration Technologies - Technology Needs Assessment

    SciTech Connect (OSTI)

    Greene, Amanda I.; Thorsteinsson, Hildigunnur; Reinhardt, Tim; Solomon, Samantha; James, Mallory

    2011-06-01

    This assessment is a critical component of ongoing technology roadmapping efforts, and will be used to guide the Geothermal Technology Program's research and development.

  18. Automatic Decision Detection in Meeting Speech 

    E-Print Network [OSTI]

    Hsueh, Pei-Yun; Moore, Johanna D.

    2010-11-01

    are not sufficient for locating decision points from meeting archives. In this paper, we present the AMI DecisionDetector, a system that automatically detects and highlights where the decision-related conversations are. In this paper, we apply the models developed...

  19. Multiple Criteria Decision Support by Evolutionary Computation

    E-Print Network [OSTI]

    Zitzler, Eckart

    1 Multiple Criteria Decision Support by Evolutionary Computation Marco Laumanns, Eckart Zitzler difficult or impossible. In addition, they can handle multiple criteria simultaneously, being able to gener of these variables form the set of decision alternatives. The criteria to judge each decision relate to the output

  20. Adaptive hybrid optimal quantum control for imprecisely characterized systems

    E-Print Network [OSTI]

    D. J. Egger; F. K. Wilhelm

    2014-06-24

    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.

  1. Advanced Technology Vehicle Testing

    SciTech Connect (OSTI)

    James Francfort

    2004-06-01

    The goal of the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA) is to increase the body of knowledge as well as the awareness and acceptance of electric drive and other advanced technology vehicles (ATV). The AVTA accomplishes this goal by testing ATVs on test tracks and dynamometers (Baseline Performance testing), as well as in real-world applications (Fleet and Accelerated Reliability testing and public demonstrations). This enables the AVTA to provide Federal and private fleet managers, as well as other potential ATV users, with accurate and unbiased information on vehicle performance and infrastructure needs so they can make informed decisions about acquiring and operating ATVs. The ATVs currently in testing include vehicles that burn gaseous hydrogen (H2) fuel and hydrogen/CNG (H/CNG) blended fuels in internal combustion engines (ICE), and hybrid electric (HEV), urban electric, and neighborhood electric vehicles. The AVTA is part of DOE's FreedomCAR and Vehicle Technologies Program.

  2. Optimal tasking of mobile autonomous sensing assets in uncertain adversarial settings

    E-Print Network [OSTI]

    Oran, Ali

    2010-01-01

    1 1.2 Modern UAV Technology: Its Advantages and Necessitiesground units following optimal UAV support. (On this figureunits following heuristic UAV support. (On this figure axis

  3. 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

  4. 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

  5. Introduction Optimal Control Problem

    E-Print Network [OSTI]

    Grigorieva, Ellina V.

    and Computational Simulations Ellina Grigorieva and Evgenii Khailov Optimal control of a waste water cleaning plant Khailov Optimal control of a waste water cleaning plant #12;Introduction Model Optimal Control Problem applications will be discussed. Ellina Grigorieva and Evgenii Khailov Optimal control of a waste water cleaning

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

    E-Print Network [OSTI]

    Nath, Vivin

    2012-01-01

    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 ...

  7. Thermally Activated Technologies Technology Roadmap, May 2003...

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

    Thermally Activated Technologies Technology Roadmap, May 2003 Thermally Activated Technologies Technology Roadmap, May 2003 The purpose of this Technology Roadmap is to outline a...

  8. 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.

    2009-10-01

    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.

  9. Qualification of Innovative High Level Waste Pipeline Unplugging Technologies

    SciTech Connect (OSTI)

    McDaniel, D.; Gokaltun, S.; Varona, J.; Awwad, A.; Roelant, D.; Srivastava, R.

    2008-07-01

    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)

  10. Modeling and Optimization of a Bioethanol Production Facility 

    E-Print Network [OSTI]

    Gabriel, Kerron Jude

    2011-10-21

    The primary objective of this work is to identify the optimal bioethanol production plant capacity and configuration based on currently available technology for all the processing sections involved. To effect this study, a systematic method...

  11. Performance and power optimization in VLSI physical design 

    E-Print Network [OSTI]

    Jiang, Zhanyuan

    2008-10-10

    As VLSI technology enters the nanoscale regime, a great amount of efforts have been made to reduce interconnect delay. Among them, buffer insertion stands out as an effective technique for timing optimization. A dramatic ...

  12. A structural approach to delay optimization in combinational circuits 

    E-Print Network [OSTI]

    Munshi, Avinash

    1999-01-01

    A major problem in circuit design is achieving the maximum performance for a given technology. In the context of logic synthesis and optimization, maximizing performance means reducing the maximum propagation delay from circuit inputs to outputs...

  13. Automated Synthesis Tool for Design Optimization of Power Electronic Converters 

    E-Print Network [OSTI]

    Mirjafari, Mehran

    2013-01-09

    optimization methods. This dissertation will use Technology Characterization Methods (TCM) to bridge the gap between high-level performance attributes and low-level design attributes where direct relationship between these two does not currently exist...

  14. Trajectory Optimization for Target Localization Using Small Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Trajectory Optimization for Target Localization Using Small Unmanned Aerial Vehicles Sameera S. Ponda , Richard M. Kolacinski and Emilio Frazzoli Small unmanned aerial vehicles (UAVs) equipped in technology are encouraging the use of small unmanned aerial vehicles (UAVs) for intelli- gence

  15. Quantum Annealing for Constrained Optimization

    E-Print Network [OSTI]

    Itay Hen; Federico M. Spedalieri

    2015-08-18

    Recent advances in quantum technology have led to the development and manufacturing of experimental programmable quantum annealers that could potentially solve certain quadratic unconstrained binary optimization problems faster than their classical analogues. The applicability of such devices for many theoretical and practical optimization problems, which are often constrained, is severely limited by the sparse, rigid layout of the devices' quantum bits. Traditionally, constraints are addressed by the addition of penalty terms to the Hamiltonian of the problem, which in turn requires prohibitively increasing physical resources while also restricting the dynamical range of the interactions. Here we propose a method for encoding constrained optimization problems on quantum annealers that eliminates the need for penalty terms and thereby removes many of the obstacles associated with the implementation of these. We argue the advantages of the proposed technique and illustrate its effectiveness. We then conclude by discussing the experimental feasibility of the suggested method as well as its potential to boost the encodability of other optimization problems.

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

    E-Print Network [OSTI]

    Chacon, Vince

    2003-01-01

    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 ...

  17. Technical descriptions of ten irrigation technologies for conserving energy

    SciTech Connect (OSTI)

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

    1983-05-01

    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)

  18. Optimization of Fuel Cell System Operating Conditions for Fuel Cell Vehicles

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01

    and Optimization of PEMFC Systems and its Application onExchange Membrane fuel cell (PEMFC) technology for use inExchange Membrane fuel cell (PEMFC) technology for use in

  19. Optimization Online - Robust Dual Response Optimization

    E-Print Network [OSTI]

    Aug 8, 2015 ... Abstract: This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology.

  20. Optimization Online - Solving nonsmooth convex optimization with ...

    E-Print Network [OSTI]

    May 8, 2015 ... Solving nonsmooth convex optimization with complexity $O(\\eps^{-1/2})$. Masoud Ahookhosh (masoud.ahookhosh ***at*** univie.ac.at)

  1. Optimization Online - Probabilistic optimization via approximate p ...

    E-Print Network [OSTI]

    W. van vAckooij

    2015-05-27

    May 27, 2015 ... Probabilistic optimization via approximate p-efficient points and bundle methods. W. van vAckooij(wim.van-ackooij ***at*** edf.fr )

  2. 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)

    2001-01-01

    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.

  3. Cognitive Energy Value Chain: Leveraging Big Data to Optimize Energy 

    E-Print Network [OSTI]

    Birg, G.; Reitmeier, T.

    2014-01-01

    -if’ Scenarios Predicting The Future Variance Analyses Performance Management System Wide Trade Offs ESL-IE-14-05-44 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014 - 6 -CEO Cognitive Energy Optimization... Optimization Confidential Predictive vs. Prescriptive Analytics Predictive analytics solutions allow organizations to discover, evaluate, optimize, and deploy predictive models by analyzing data sources to improve business outcomes where: – Evidence...

  4. Robust Optimization for Strategic Energy Stefano Moret

    E-Print Network [OSTI]

    Bierlaire, Michel

    replacing fossil technologies with renewables and more ecient alternatives [9]. 1.1 Motivation. LongRobust Optimization for Strategic Energy Planning Stefano Moret Michel Bierlaire Francois-or.epfl.ch Ecole Polytechnique Federale de Lausanne (EPFL), Industrial Process and Energy Systems Engineering Group

  5. Separated Spacecraft Interferometry System Architecture Design and Optimization

    E-Print Network [OSTI]

    Separated Spacecraft Interferometry ­ System Architecture Design and Optimization by Cyrus D. Jilla and Astronautics at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 1999 © 1999 Cyrus D. Jilla. All rights Committee #12;#12;Separated Spacecraft Interferometry- MIT System Architecture Design and Optimization Space

  6. Optimization of Energy Detector Receivers for UWB Systems

    E-Print Network [OSTI]

    Arslan, Hüseyin

    Optimization of Energy Detector Receivers for UWB Systems Mustafa E. S¸ahin, Ismail G¨uvenc¸, and H of the ultrawideband (UWB) technology. Energy detector receiver is an attractive solution for UWB signal reception trading off complexity with performance. In this paper, joint estimation of the optimal threshold

  7. CC Retrofits and Optimal Controls for Hot Water Systems 

    E-Print Network [OSTI]

    Wu, L.; Liu, M.; Wang, G.

    2007-01-01

    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...

  8. Optimization of Reactive Power based on Newton-Raphson algorithm

    E-Print Network [OSTI]

    Lavaei, Javad

    the reactive power optimization procedures. Introduction In modern power system transmission technology, reactive power optimization is so important that it has direct influence on the high quality and stable transmitting electrical energy. The first part of the article describes the importance of the reactive power

  9. 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

  10. SIMULTANEOUS OPTIMIZATION OF A MULTIPLE-AIRCRAFT FAMILY

    E-Print Network [OSTI]

    Peraire, Jaime

    SIMULTANEOUS OPTIMIZATION OF A MULTIPLE-AIRCRAFT FAMILY Karen Willcox* Massachusetts Institute of Technology, Cambridge, MA 02139 Sean Wakayama The Boeing Company, Huntington Beach, CA 92647 Abstract Multidisciplinary design optimization is considered in the context of designing a family of aircraft. A framework

  11. Utilization of Science-Based Information on Climate Change in Decision Making and the Public Policy Process - Phase 1 

    E-Print Network [OSTI]

    Vedlitz, Arnold; Alston, Letitia T.; Wood, B. Dan; North, Gerald R.; Lindquist, Eric

    2008-01-01

    Utilization of Science-Based Information on Climate Change in Decision Making and the Public Policy Process - Phase I Institute for Science, Technology and Public Policy The Bush School of Government and Public Service Texas A&M University Institute... for Science, Technology and Public Policy ? The Bush School ? Texas A&M University 1 Acknowledgements Research Support...

  12. Carbon Markets and Technological Innovation

    E-Print Network [OSTI]

    Weber, T. A.; Neuhoff, Karsten

    in the presence of technological spillovers. He shows that a regulator may find it optimal to set taxes above the Pigouvian level of marginal envi- ronmental damages in order to provide a sufficiently large incentive to innovate. 5 without price controls.4 At time...

  13. 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)

    2008-05-06

    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.

  14. Baseload coal investment decisions under uncertain carbon legislation

    SciTech Connect (OSTI)

    Joule A. Bergerson; Lester B. Lave

    2007-05-15

    More than 50% of electricity in the U.S. is generated by coal. The U.S. has large coal resources, the cheapest fuel in most areas. Coal fired power plants are likely to continue to provide much of U.S. electricity. However, the type of power plant that should be built is unclear. Technology can reduce pollutant discharges and capture and sequester the CO{sub 2} from coal-fired generation. The U.S. Energy Policy Act of 2005 provides incentives for large scale commercial deployment of Integrated Coal Gasification Combined Cycle (IGCC) systems (e.g., loan guarantees and project tax credits). This analysis examines whether a new coal plant should be pulverized coal (PC) or IGCC. Do stricter emissions standards (PM, SO{sub 2}, NOx, Hg) justify the higher costs of IGCC over PC? How does potential future carbon legislation affect the decision to add carbon capture and storage (CCS) technology? Finally, can the impact of uncertain carbon legislation be minimized? We find that SO{sub 2}, NOx, PM, and Hg emission standards would have to be far more stringent than twice current standards to justify the increased costs of the IGCC system. A CO{sub 2} tax less than $29/ton would lead companies to continuing to choose PC, paying the tax for emitted CO{sub 2}. The earlier a decision-maker believes the carbon tax will be imposed and the higher the tax, the more likely companies will choose IGCC with CCS. Having government announce the date and level of a carbon tax would promote more sensible decisions, but government would have to use a tax or subsidy to induce companies to choose the technology that is best for society. 14 refs., 6 figs., 4 tabs.

  15. A Key Technology Evaluation Case Study: Applying a New Middleware Architecture on the

    E-Print Network [OSTI]

    Zdun, Uwe

    A Key Technology Evaluation Case Study: Applying a New Middleware Architecture on the Enterprise in (all) the new key technology areas, it was hard for the management to estimate which new technologies, fgoedickejuzdung@informatik.uni-essen.de Abstract Decisions for key technologies, like middleware, for large scale

  16. Solar Fundamentals Volume 1: Technology

    Broader source: Energy.gov [DOE]

    This report is one component of a multi-part series publication to assist in educating th'se seeking to become more familiar with the solar industry. This volume introduces solar technologies, explaining each technology’s applications, the components that make up a photovoltaic system, and how they can be used to optimize energy generation. This report explains solar insolation and how it impacts energy generation in illustrating where solar energy is a viable option. A final section highlights important considerations in solar project siting to maximize system production and avoid unexpected project development challenges.

  17. A Method for Evaluating Volt-VAR Optimization Field Demonstrations

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Weaver, T. F.

    2014-08-31

    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. HOMER: The Micropower Optimization Model

    SciTech Connect (OSTI)

    Not Available

    2004-03-01

    HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.

  19. Optimized Active Aerodynamic Blade Control

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access toOctober 1996TechnologiesDistribution, andSpectroscopy ofOptimized

  20. Combined Municipal Solid Waste and biomass system optimization for district energy applications

    SciTech Connect (OSTI)

    Rentizelas, Athanasios A. Tolis, Athanasios I. Tatsiopoulos, Ilias P.

    2014-01-15

    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.

  1. Global Optimization of Chemical Reactors and Kinetic Optimization

    E-Print Network [OSTI]

    ALHUSSEINI, ZAYNA ISHAQ

    2013-01-01

    and M. Sheintuch. "OPTIMIZATION OF AN AUTOTHERMAL MONOLITHICIdentification Via Global Optimization Techniques. AIChE1: 91-103. Chapter 3 Optimization of a 3-D Monolith Reactor

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

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

    E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain E85 Optimized Engine Enhanced Ethanol Engine And Vehicle Efficiency (Agreement 13425)...

  3. HOMOTOPY OPTIMIZATION METHODS FOR GLOBAL OPTIMIZATION

    E-Print Network [OSTI]

    O'Leary, Dianne P.

    HOMOTOPY OPTIMIZATION METHODS FOR GLOBAL OPTIMIZATION DANIEL M. DUNLAVY AND DIANNE P. O'LEARY under Grants CCR 02-04084 and CCF 05-14213. 1 #12;2 D.M. DUNLAVY AND D.P. O'LEARY point is generated

  4. Emerging energy-efficient industrial technologies

    SciTech Connect (OSTI)

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

    2000-10-01

    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.

  5. 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

  6. A Survey of Hadron Therapy Accelerator Technologies.

    SciTech Connect (OSTI)

    PEGGS,S.; SATOGATA, T.; FLANZ, J.

    2007-06-25

    Hadron therapy has entered a new age [1]. The number of facilities grows steadily, and 'consumer' interest is high. Some groups are working on new accelerator technology, while others optimize existing designs by reducing capital and operating costs, and improving performance. This paper surveys the current requirements and directions in accelerator technology for hadron therapy.

  7. Optimization and learning based video coding

    E-Print Network [OSTI]

    An, Cheolhong

    2008-01-01

    2 Rate-Distortion Optimization . . . . . . . . . . . .Distortion Optimization . . . . . . . . . . . . . . . . . .Rate-Distortion Optimization . . . . . . . . . . . .

  8. Optimization of SRF Linacs

    SciTech Connect (OSTI)

    Powers, Tom [JLAB

    2013-09-01

    This work 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 several years ago while they were in the process of developing a conceptual design for the New Light Source project.[1] 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. The work was first published in an ICFA Beam Dynamics News Letter.[2] More recent additions to the software include the ability to save and restore input parameters as well as to adjust the Qo versus E parameters in order to explore the potential costs savings associated with doing so. Additionally, program changes now allow one to model the costs associated with a linac that makes use of energy recovery mode of operation.

  9. Timelines for mitigating methane emissions from energy technologies

    E-Print Network [OSTI]

    Roy, Mandira; Trancik, Jessika E

    2015-01-01

    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...

  10. Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture

    E-Print Network [OSTI]

    Chatterjee, Anjan

    Department of Architecture, Design, and Media Technology, University of Aalborg, DK - 9000 Aalborg, DenmarkImpact of contour on aesthetic judgments and approach-avoidance decisions in architecture Oshin, Spain; h The Royal Danish Academy of Fine Arts, Schools of Architecture, Design, and Conservation

  11. 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 technologies: solar, carbon capture, nuclear, biofuels, and electricity from biomass. The challenge a probability distribution over outcomes dependent on R&D funding amounts. This probability distribution

  12. Reactor options for disposition of excess weapon plutonium: Selection criteria and decision process for assessment

    SciTech Connect (OSTI)

    Edmunds, T.; Buonpane, L.; Sicherman, A.; Sutcliffe, W.; Walter, C.; Holman, G.

    1994-01-01

    DOE is currently considering a wide range of alternatives for disposition of excess weapon plutonium, including using plutonium in mixed oxide fuel for light water reactors (LWRs). Lawrence Livermore National Laboratory (LLNL) has been tasked to assist DOE in its efforts to develop a decision process and criteria for evaluating the technologies and reactor designs that have been proposed for the fission disposition alternative. This report outlines an approach for establishing such a decision process and selection criteria. The approach includes the capability to address multiple, sometimes conflicting, objectives, and to incorporate the impact of uncertainty. The approach has a firm theoretical foundation and similar approaches have been used successfully by private industry, DOE, and other government agencies to support and document complex, high impact technology choice decisions. Because of their similarity and relatively simple technology, this report focuses on three light water reactors studied in Phase 1 of the DOE Plutonium Disposition Study. The decision process can be extended to allow evaluation of other reactor technologies and disposition options such as direct disposal and retrievable storage.

  13. Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

    E-Print Network [OSTI]

    Middleton, Stuart E.

    a system for tsunami detection and early warning, developed in the project Collaborative, Complex1 Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1 Zielinski, Andrea Fraunhofer Institute of Optronics, System Technologies and Image Exploitation Karlsruhe, Germany

  14. A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations

    E-Print Network [OSTI]

    Aamodt, Agnar

    A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations Odd Erik Gundersen and development cost in addition to two case studies are documented. Introduction DrillEdge is a software system for how to handle the current situation. Verdande Technology has developed DrillEdge to reduce the cost

  15. Erosion and Optimal Transport

    E-Print Network [OSTI]

    Birnir, Bjorn; Rowlett, Julie

    2010-01-01

    383 pp. EROSION AND OPTIMAL TRANSPORT [23] I. Ekeland and T.and D. Simons, Sediment transport capacity of overland ?ow,measure spaces via optimal transport, Ann. of Math. (2),

  16. Optimization of Cooling Water 

    E-Print Network [OSTI]

    Matson, J.

    1985-01-01

    A cooling water system can be optimized by operation at the highest possible cycles of concentration without risking sealing and fouling on heat exchanger surfaces. The way to optimize will be shown, with a number of examples of new systems....

  17. Integrated Energy System Dispatch Optimization

    E-Print Network [OSTI]

    Firestone, Ryan; Stadler, Michael; Marnay, Chris

    2006-01-01

    Energy System Dispatch Optimization Ryan Firestone, MichaelEnergy System Dispatch Optimization Ryan Firestone - Studentthe real-time dispatch optimization problem for a generic

  18. Power network analysis and optimization

    E-Print Network [OSTI]

    Zhang, Wanping

    2009-01-01

    chip power supply network optimization using multigrid-basedchip decoupling capacitor optimization for high- performanceSapatnekar, “Analysis and optimization of structured power/

  19. 2014 - Optimization Online

    E-Print Network [OSTI]

    Linear, Cone and Semidefinite Programming Submissions - 2014. January 2014. Linear Programming A strongly polynomial algorithm for linear optimization ...

  20. 2013 - Optimization Online

    E-Print Network [OSTI]

    Convex and Nonsmooth Optimization Submissions - 2013. January 2013. Second-Order Variational Analysis in Conic Programming with Applications to ...

  1. 2004 - Optimization Online

    E-Print Network [OSTI]

    Magnetic Resonance Tissue Density Estimation using Optimal SSFP Pulse- Sequence Design Christopher Anand ... Gun Srijuntongsiri, Stephen Vavasis.

  2. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01

    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 ...

  3. 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...

  4. Integrated Energy System Dispatch Optimization

    E-Print Network [OSTI]

    Firestone, Ryan; Stadler, Michael; Marnay, Chris

    2006-01-01

    synchronous constraint on thermal demand. Two dispatch decisions are considered: the setpoint of the generator

  5. High Impact Technology Catalyst: Technology Deployment Strategies...

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

    High Impact Technology Catalyst: Technology Deployment Strategies High Impact Technology Catalyst: Technology Deployment Strategies The Energy Department released the High Impact...

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

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

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

  7. Optimal Control with Weighted Average Costs and Temporal Logic Specifications

    E-Print Network [OSTI]

    Murray, Richard M.

    Optimal Control with Weighted Average Costs and Temporal Logic Specifications Eric M. Wolff Control and Dynamical Systems California Institute of Technology Pasadena, California 91125 Email: ewolff@caltech.edu Ufuk Topcu Control and Dynamical Systems California Institute of Technology Pasadena, California 91125

  8. Optimal Power Allocation for Renewable Energy Source

    E-Print Network [OSTI]

    Sinha, Abhinav

    2011-01-01

    Battery powered transmitters face energy constraint, replenishing their energy by a renewable energy source (like solar or wind power) can lead to longer lifetime. We consider here the problem of finding the optimal power allocation under random channel conditions for a wireless transmitter, such that rate of information transfer is maximized. Here a rechargeable battery, which is periodically charged by renewable source, is used to power the transmitter. All of above is formulated as a Markov Decision Process. Structural properties like the monotonicity of the optimal value and policy derived in this paper will be of vital importance in understanding the kind of algorithms and approximations needed in real-life scenarios. The effect of curse of dimensionality which is prevalent in Dynamic programming problems can thus be reduced. We show our results under the most general of assumptions.

  9. Performance Measure for Optimal Quantum Control

    E-Print Network [OSTI]

    Alexandre Coutinho Lisboa; Jose Roberto Castilho Piqueira

    2015-08-30

    The problem concerning the minimum time for an initial state to evolve up to a target state plays an important role in the Classic Optimal Control theory. In the quantum context, as quantum states are so sensitive to environmental influences, the problem is more complex, but its formulation and solution are decisive to implement quantum information processing systems. As is well known, the decoherence phenomenon is unavoidable and the time-energy uncertainty relation must be used to study quantum dynamics. Here, the time-energy uncertainty relations are revisited, being fundamental to propose performance measures based on minimum time evolution. A minimum time performance measure is definedfor quantum control problems. Then, some practical examples are considered and the minimum time performance measure is applied providing results that are supposed to be useful for researchers to pursue strategies to optimize the control of the states of a quantum system.

  10. Performance Measure for Optimal Quantum Control

    E-Print Network [OSTI]

    Alexandre Coutinho Lisboa; Jose Roberto Castilho Piqueira

    2015-04-15

    The problem concerning the minimum time for an initial state to evolve up to a target state plays an important role in the Classic Optimal Control theory. In the quantum context, as quantum states are so sensitive to environmental influences, the problem is more complex, but its formulation and solution are decisive to implement quantum information processing systems. As is well known, the decoherence phenomenon is unavoidable and the time-energy uncertainty relation must be used to study quantum dynamics. Here, the time-energy uncertainty relations are revisited, being fundamental to propose performance measures based on minimum time evolution. A minimum time performance measure is definedfor quantum control problems. Then, some practical examples are considered and the minimum time performance measure is applied providing results that are supposed to be useful for researchers to pursue strategies to optimize the control of the states of a quantum system.

  11. Technology '90

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    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.

  12. Co-optimization of Performance and Power in a Superscalar Processor Design

    E-Print Network [OSTI]

    Wong, Weng Fai

    . As process technology scales down, power wall starts to hinder im- provements in processor performanceCo-optimization of Performance and Power in a Superscalar Processor Design Yongxin Zhu1 , Weng. Performance optimization has to proceed under a power constraint. The co-optimization requires exploration

  13. A model of human collective decision-making in complex environments

    E-Print Network [OSTI]

    Carbone, Giuseppe

    2015-01-01

    A continuous-time Markov process is proposed to analyze how a group of humans solves a complex task, consisting in the search of the optimal set of decisions on a fitness landscape. Individuals change their opinions driven by two different forces: (i) the rational behavior which pushes them to change their opinions as to increase their own fitness values, and (ii) the social interactions which push individuals to reduce the diversity of their opinions in order to reach consensus. Results show that the performance of the group is strongly affected by the strength of social interactions and by the level of knowledge of the individuals. Increasing the strength of social interactions improves the performance of the team. However, too strong social interactions slow down the search of the optimal solution and worsen the performance of the group. We prove that a moderate level of knowledge is already enough to guarantee high performance of the group in making decisions.

  14. Flood management in a complex river basin with a real-time decision support system based on hydrological forecasts

    E-Print Network [OSTI]

    Lenstra, Arjen K.

    ENAC/ Flood management in a complex river basin with a real-time decision support system based System MINDS proposes the optimal hydropower plants management for flood peak reduction PREDICTING FLOODS for population safety and! Computational program: Routing System MINERVE Run-off model Infiltration model

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

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.

    2006-05-10

    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.

  16. Robotics crosscutting program: Technology summary

    SciTech Connect (OSTI)

    1996-08-01

    The Office of Environmental Management (EM) is responsible for cleaning up the legacy of radioactive and chemically hazardous waste at contaminated sites and facilities throughout the U.S. Department of Energy (DOE) nuclear weapons complex, preventing further environmental contamination, and instituting responsible environmental management. Initial efforts to achieve this mission resulted in the establishment of environmental restoration and waste management programs. However, as EM began to execute its responsibilities, decision makers became aware that the complexity and magnitude of this mission could not be achieved efficiently, affordably, safely, or reasonably with existing technology. Once the need for advanced cleanup technologies became evident, EM established an aggressive, innovative program of applied research and technology development. The Office of Technology Development (OTD) was established in November 1989 to advance new and improved environmental restoration and waste management technologies that would reduce risks to workers, the public, and the environment; reduce cleanup costs; and devise methods to correct cleanup problems that currently have no solutions. In 1996, OTD added two new responsibilities - management of a Congressionally mandated environmental science program and development of risk policy, requirements, and guidance. OTD was renamed the Office of Science and Technology (OST). This documents presents information concerning robotics tank waste retrieval overview, robotic chemical analysis automation, robotics decontamination and dismantlement, and robotics crosscutting and advanced technology.

  17. Stochastic Dynamic Demand Inventory Models with Explicit Transportation Costs and Decisions 

    E-Print Network [OSTI]

    Zhang, Liqing

    2011-07-01

    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...

  18. Optimization Online Digest -- October 2015

    E-Print Network [OSTI]

    Optimization Online Digest — October 2015. Applications — OR and Management Sciences Polynomial SDP Cuts for Optimal Power Flow Hassan Hijazi ...

  19. Optimization Online Digest -- March 2015

    E-Print Network [OSTI]

    Optimization Online Digest — March 2015. Applications — OR and Management Sciences Stochastic versus Robust Optimization for a Transportation Problem

  20. Optimization Online Digest -- September 2014

    E-Print Network [OSTI]

    Optimization Online Digest — September 2014. Applications — OR and Management Sciences Multistage Adaptive Robust Optimization for the Unit ...

  1. Optimization Online Digest -- March 2014

    E-Print Network [OSTI]

    Topology Optimization for Magnetic Circuits dedicated to Electric Propulsion Satafa Sanogo, Frederic Messine, Carole Henaux, Raphael Vilamot Inverse optimal ...

  2. 1612 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 6, JUNE 2014 Jointly Optimal LQG Quantization and Control Policies

    E-Print Network [OSTI]

    Yüksel, Serdar

    ] for a similar reasoning). Such a separation in the design will also allow us to use the machinery of Markov@mast.queensu. ca). Digital Object Identifier 10.1109/TAC.2013.2293414 Fig. 1. Joint LQG optimal design of coding Decision Processes to obtain a structural method to design optimal quantizers, to be clarified further

  3. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    surmount concomitant challenges: -Interoperating/distributed decision makers and decision-making devices. of Energy to the SIAM Science Policy Committee, October 2009. ·Others benefit from a presentation by Massoud ·Today's electric power systems have grown up incrementally and haphazardly ­ they were not designed from

  4. Evaluation of information bundles in engineering decisions 

    E-Print Network [OSTI]

    Bakir, Niyazi Onur

    2004-11-15

    problems. In static insurance decisions, we analyze the case where the decision maker gathers information about the severity of the risk events and perform ranking of information bundles in a speci?c class. In dynamic insurance problems, we make a...

  5. Decision under uncertainty with limited information

    E-Print Network [OSTI]

    Nikolaidis, Efstratios

    own land in oil rich region · Can sell it for $18,500 or drill · Drilling costs $70,000 · If no oil and countries depends on the ability of their leaders to make good decisions. #12;4 Example Drill for oil · You is found land becomes worthless · Sell or drill? #12;5 Decision tree: Graphical representation of sequence

  6. Technology Assessment

    Office of Environmental Management (EM)

    capabilities that are energy efficient, low environmental impact 72 and lower cost and that are employed to manufacture technologies and products for clean energy 73...

  7. Logic-Based Decision Support for Strategic Environmental Assessment

    E-Print Network [OSTI]

    Gavanelli, Marco; Milano, Michela; Cagnoli, Paolo; 10.1017/S1471068410000335

    2010-01-01

    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...

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

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01

    energy economic optimizations. Technologies assessed include photovoltaics (PV), solar thermal,Energy Flow Battery Power Absorption Chiller Abs. Refrigeration PV Solar Thermal

  9. Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques

    DOE Patents [OSTI]

    Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)

    2009-09-01

    A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.

  10. Technology Commercialization Showcase 2008 Vehicle Technologies Program

    SciTech Connect (OSTI)

    Davis, Patrick B.

    2009-06-19

    Presentation illustrating various technology commercialization opportunities and unexploited investment gaps for the Vehicle Technologies Program.

  11. 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)

    1992-12-01

    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.

  12. Thermally activated technologies: Technology Roadmap

    SciTech Connect (OSTI)

    None, None

    2003-05-01

    The purpose of this Technology Roadmap is to outline a set of actions for government and industry to develop thermally activated technologies for converting America’s wasted heat resources into a reservoir of pollution-free energy for electric power, heating, cooling, refrigeration, and humidity control. Fuel flexibility is important. The actions also cover thermally activated technologies that use fossil fuels, biomass, and ultimately hydrogen, along with waste heat.

  13. sustainable technologies

    E-Print Network [OSTI]

    Zhang, Junshan

    : · realize continuous improvements in performance (efficiency), cost and manufacturability of PV technologies, transformative PV technologies that circumvent cost/performance trade-offs and maintain compatibility with P the growing demand for energy. Photovoltaics (PV) leverages one of the 20th century's greatest scientific

  14. Optimized design for PIGMI

    SciTech Connect (OSTI)

    Hansborough, L.; Hamm, R.; Stovall, J.; Swenson, D.

    1980-01-01

    PIGMI (Pion Generator for Medical Irradiations) is a compact linear proton accelerator design, optimized for pion production and cancer treatment use in a hospital environment. Technology developed during a four-year PIGMI Prototype experimental program allows the design of smaller, less expensive, and more reliable proton linacs. A new type of low-energy accelerating structure, the radio-frequency quadrupole (RFQ) has been tested; it produces an exceptionally good-quality beam and allows the use of a simple 30-kV injector. Average axial electric-field gradients of over 9 MV/m have been demonstrated in a drift-tube linac (DTL) structure. Experimental work is underway to test the disk-and-washer (DAW) structure, another new type of accelerating structure for use in the high-energy coupled-cavity linac (CCL). Sufficient experimental and developmental progress has been made to closely define an actual PIGMI. It will consist of a 30-kV injector, and RFQ linac to a proton energy of 2.5 MeV, a DTL linac to 125 MeV, and a CCL linac to the final energy of 650 MeV. The total length of the accelerator is 133 meters. The RFQ and DTL will be driven by a single 440-MHz klystron; the CCL will be driven by six 1320-MHz klystrons. The peak beam current is 28 mA. The beam pulse length is 60 ..mu..s at a 60-Hz repetition rate, resulting in a 100-..mu..A average beam current. The total cost of the accelerator is estimated to be approx. $10 million.

  15. Global Nuclear Energy Partnership Technology Development Plan

    SciTech Connect (OSTI)

    David J. Hill

    2007-07-01

    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.

  16. The Internet of Decisions There is a need to change from systems thinking to infrastructural thinking about decision

    E-Print Network [OSTI]

    Bisdorff, Raymond

    decision fusion and aiding methodologies especially for spatial data handling, and easily scalable, Internet, Decision Fusion, Decision Making and Aiding Practice, Multiple Criteria Decision Aid, Decision Star et al. (1996) and Edwards et al. (2007) we may recognize that DSSI emerges as: an embodiment

  17. 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.

    1980-02-01

    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)

  18. Energy optimization system

    DOE Patents [OSTI]

    Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat

    2013-01-22

    A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.

  19. Improve Chilled Water System Performance, Software Tools for Industry, Industrial Technologies Program (ITP) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-12-01

    This fact sheet describes how the Industrial Technologies Program Chilled Water System Analysis Tool (CWSAT) can help optimize the performance of of industrial chilled water systems.

  20. Effective Design And Use Of Computer Decision Models.

    E-Print Network [OSTI]

    Fuerst, William L.

    1984-03-01

    of decision models such as simulation have not been demonstrated. This paper looks at recent literature regarding decision model deficiencies, evaluates selected financial simulation model packages, and suggests design needs for expanding the use of decision...

  1. EIS-0473: Record of Decision | Department of Energy

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

    EIS-0473: Record of Decision EIS-0473: Record of Decision W.A. Parish Post-Combustion CO2 Capture and Sequestration Project, Fort Bend County, Texas DOE announces its decision to...

  2. A wireless soil moisture smart sensor web using physics-based optimal control: Concept and initial demonstrations

    E-Print Network [OSTI]

    Moghaddam, Mahta

    This paper introduces a new concept for a smart wireless sensor web technology for optimal measurements of surface-to-depth profiles of soil moisture using in-situ sensors. The objective of the technology, supported by the ...

  3. 2015 - Optimization Online

    E-Print Network [OSTI]

    Convex and Nonsmooth Optimization Submissions - 2015. December 2015. Solving ill-posed bilevel programs. Alain B. Zemkoho. January 2015. A remark on  ...

  4. Submit - Optimization Online

    E-Print Network [OSTI]

    Optimization Online E-Print Submission. Please enter the number of authors of the article: Visitors, Authors, More about us, Links. Subscribe, Unsubscribe

  5. Update - Optimization Online

    E-Print Network [OSTI]

    Optimization Online E-Print Update. Our secure versioning tool allows you to update your submission by uploading a new version of the report, changing the ...

  6. 2013 - Optimization Online

    E-Print Network [OSTI]

    Applications — OR and Management Sciences Submissions - 2013. January 2013. A two-step optimization approach for job shop scheduling problem using a  ...

  7. Classification Scheme - Optimization Online

    E-Print Network [OSTI]

    Submissions are organized according to the following top areas and sub areas: Applications - OR and Management Sciences. Airline Optimization; Finance and  ...

  8. Hopper Performance and Optimization

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

    Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More Using OpenMP Effectively...

  9. Control and optimization system

    DOE Patents [OSTI]

    Xinsheng, Lou

    2013-02-12

    A system for optimizing a power plant includes a chemical loop having an input for receiving an input parameter (270) and an output for outputting an output parameter (280), a control system operably connected to the chemical loop and having a multiple controller part (230) comprising a model-free controller. The control system receives the output parameter (280), optimizes the input parameter (270) based on the received output parameter (280), and outputs an optimized input parameter (270) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

  10. Optimal Recurrence Grammars

    E-Print Network [OSTI]

    Graben, Peter beim; Fröhlich, Flavio

    2015-01-01

    We optimally estimate the recurrence structure of a multivariate time series by Markov chains obtained from recurrence grammars. The goodness of fit is assessed with a utility function derived from the stochastic Markov transition matrix. It assumes a local maximum for the distance threshold of the optimal recurrence grammar. We validate our approach by means of the nonlinear Lorenz system and its linearized stochastic surrogates. Finally we apply our optimization procedure to the segmentation of neurophysiological time series obtained from anesthetized animals. We propose the number of optimal recurrence domains as a statistic for classifying an animals' state of consciousness.

  11. Euler's fluid equations: Optimal Control vs Optimization

    E-Print Network [OSTI]

    Darryl D. Holm

    2009-09-28

    An optimization method used in image-processing (metamorphosis) is found to imply Euler's equations for incompressible flow of an inviscid fluid, without requiring that the Lagrangian particle labels exactly follow the flow lines of the Eulerian velocity vector field. Thus, an optimal control problem and an optimization problem for incompressible ideal fluid flow both yield the \\emph {same} Euler fluid equations, although their Lagrangian parcel dynamics are \\emph{different}. This is a result of the \\emph{gauge freedom} in the definition of the fluid pressure for an incompressible flow, in combination with the symmetry of fluid dynamics under relabeling of their Lagrangian coordinates. Similar ideas are also illustrated for SO(N) rigid body motion.

  12. INTERSTATE WASTE TECHNOLOGIES THERMOSELECT TECHNOLOGY

    E-Print Network [OSTI]

    Columbia University

    1 INTERSTATE WASTE TECHNOLOGIES THERMOSELECT TECHNOLOGY AN OVERVIEW Presented to the DELAWARE SOLID WASTE MANAGEMENT TECHNICAL WORKING GROUP January 10, 2006 #12;2 INTERSTATE WASTE MANAGEMENT ALLIANCE and maintenance (30 years) ­ Will guarantee performance and Operation and Maintenance ­ Serves solid waste

  13. Baton Rouge Complex Steam Real Time Optimization 

    E-Print Network [OSTI]

    Iyun, T.

    2014-01-01

    Time Optimization IETC 2014 New Orleans, Louisiana Tope Iyun ExxonMobil Chemical Company May 22, 2014 ESL-IE-14-05-32 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014 Proprietary 2 Agenda • Baton... 20-23, 2014 Proprietary 3 Baton Rouge Complex BRRF/BRCP • One of world’s largest integrated, most technologically advanced petroleum/petrochemical complexes, in operation since 1909 • Workforce: over 5,500 • Geographic Area : – BRCP - 150 acres...

  14. Training Schrödinger's cat: quantum optimal control

    E-Print Network [OSTI]

    Stefffen J. Glaser; Ugo Boscain; Tommaso Calarco; Christiane P. Koch; Walter Köckenberger; Ronnie Kosloff; Ilya Kuprov; Burkard Luy; Sophie Schirmer; Thomas Schulte-Herbrüggen; D. Sugny; Frank K. Wilhelm

    2015-08-03

    It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a system from a given initial state into a desired target state with minimized expenditure of energy and resources -- as famously applied in the Apollo programme. As one of the cornerstones for enabling quantum technologies, optimal quantum control keeps evolving and expanding into areas as diverse as quantum-enhanced sensing, manipulation of single spins, photons, or atoms, optical spectroscopy, photochemistry, magnetic resonance (spectroscopy as well as medical imaging), quantum information processing and quantum simulation. --- Here state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium uniting expertise in optimal control theory and applications to spectroscopy, imaging, quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap to future developments.

  15. Homotopy optimization methods for global optimization.

    SciTech Connect (OSTI)

    Dunlavy, Daniel M.; O'Leary, Dianne P. (University of Maryland, College Park, MD)

    2005-12-01

    We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.

  16. Engineering &Technology

    E-Print Network [OSTI]

    Wyatt, Lucy

    Dialog Semiconductor ECM Selection EDF Trading EDT: The Year in Industry EMC Edif ERA Ericsson Television R&D office in Oslo. We develop products which unite previously incompatible audio, video, and web processors, optimized intellectual property (IP) cores; reference designs examples, and a variety

  17. DOE Secretarial Memorandum on Improved Decision Making through...

    Office of Environmental Management (EM)

    Decision Making through the Integration of Program and Project Management with National Environmental Policy Act Compliance DOE Secretarial Memorandum on Improved Decision Making...

  18. Reduction of Transient Particulate Matter Spikes with Decision...

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

    Transient Particulate Matter Spikes with Decision Tree Based Control Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control Using a non-parametric...

  19. Risk Analysis and Decision-Making Under Uncertainty: A Strategy...

    Office of Environmental Management (EM)

    Risk Analysis and Decision-Making Under Uncertainty: A Strategy and its Applications Risk Analysis and Decision-Making Under Uncertainty: A Strategy and its Applications Ming Ye...

  20. Statement from Energy Secretary Bodman on OPEC's Decision to...

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

    Statement from Energy Secretary Bodman on OPEC's Decision to Cut Crude Oil Production Statement from Energy Secretary Bodman on OPEC's Decision to Cut Crude Oil Production October...

  1. Procuring Solar Energy: A Guide for Federal Facility Decision...

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

    Procuring Solar Energy: A Guide for Federal Facility Decision Makers, Appendix B, September 2010 Procuring Solar Energy: A Guide for Federal Facility Decision Makers, Appendix B,...

  2. Record of Decision for the Uranium Leasing Program Programmatic...

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

    Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact Statement Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact...

  3. Cellular Decision Making and Biological Noise: From Microbes to Mammals

    E-Print Network [OSTI]

    Balazsi, Gabor

    Cellular decision making is the process whereby cells assume different, functionally important and heritable fates without an associated genetic or environmental difference. Such stochastic cell fate decisions generate ...

  4. Assessment of New Approaches in Geothermal Exploration Decision...

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

    approaches were investigated to develop a best-practices methodology for objective geothermal exploration decision making at a given location, including gono-go decision points...

  5. Probabilistic Modeling and Phase 2 Decision Making at the West...

    Office of Environmental Management (EM)

    and Phase 2 Decision Making at the West Valley Demonstration Project and the Western New York Nuclear Service Center Probabilistic Modeling and Phase 2 Decision Making at the...

  6. Science. Technology. Innovation. W I N T E R 2 0 0 4

    E-Print Network [OSTI]

    Science. Technology. Innovation. W I N T E R 2 0 0 4 Inside | Page 15 Spectral library helps's leadersincreasingly turn to science and technology for information to help them make important decisions technology, fundamental science and national security, discuss how each area of research at PNNL addresses

  7. Industrial validation models 1 4/23/03 Experimental validation of new software technology

    E-Print Network [OSTI]

    Zelkowitz, Marvin V.

    Industrial validation models 1 4/23/03 Experimental validation of new software technology Marvin V When to apply a new technology in an organization is a critical decision for every software development organization. Earlier work defines a set of methods that the research community uses when a new technology

  8. Synthesis of optimal adsorptive carbon capture processes.

    SciTech Connect (OSTI)

    chang, Y.; Cozad, A.; Kim, H.; Lee, A.; Vouzis, P.; Konda, M.; Simon, A.; Sahinidis, N.; Miller, D.

    2011-01-01

    Solid sorbent carbon capture systems have the potential to require significantly lower regeneration energy compared to aqueous monoethanol amine (MEA) systems. To date, the majority of work on solid sorbents has focused on developing the sorbent materials themselves. In order to advance these technologies, it is necessary to design systems that can exploit the full potential and unique characteristics of these materials. The Department of Energy (DOE) recently initiated the Carbon Capture Simulation Initiative (CCSI) to develop computational tools to accelerate the commercialization of carbon capture technology. Solid sorbents is the first Industry Challenge Problem considered under this initiative. An early goal of the initiative is to demonstrate a superstructure-based framework to synthesize an optimal solid sorbent carbon capture process. For a given solid sorbent, there are a number of potential reactors and reactor configurations consisting of various fluidized bed reactors, moving bed reactors, and fixed bed reactors. Detailed process models for these reactors have been modeled using Aspen Custom Modeler; however, such models are computationally intractable for large optimization-based process synthesis. Thus, in order to facilitate the use of these models for process synthesis, we have developed an approach for generating simple algebraic surrogate models that can be used in an optimization formulation. This presentation will describe the superstructure formulation which uses these surrogate models to choose among various process alternatives and will describe the resulting optimal process configuration.

  9. A Decision Theoretic Approach to Evaluate Radiation Detection Algorithms

    SciTech Connect (OSTI)

    Nobles, Mallory A.; Sego, Landon H.; Cooley, Scott K.; Gosink, Luke J.; Anderson, Richard M.; Hays, Spencer E.; Tardiff, Mark F.

    2013-07-01

    There are a variety of sensor systems deployed at U.S. border crossings and ports of entry that scan for illicit nuclear material. In this work, we develop a framework for comparing the performance of detection algorithms that interpret the output of these scans and determine when secondary screening is needed. We optimize each algorithm to minimize its risk, or expected loss. We measure an algorithm’s risk by considering its performance over a sample, the probability distribution of threat sources, and the consequence of detection errors. While it is common to optimize algorithms by fixing one error rate and minimizing another, our framework allows one to simultaneously consider multiple types of detection errors. Our framework is flexible and easily adapted to many different assumptions regarding the probability of a vehicle containing illicit material, and the relative consequences of a false positive and false negative errors. Our methods can therefore inform decision makers of the algorithm family and parameter values which best reduce the threat from illicit nuclear material, given their understanding of the environment at any point in time. To illustrate the applicability of our methods, in this paper, we compare the risk from two families of detection algorithms and discuss the policy implications of our results.

  10. Technology Validation

    Broader source: Energy.gov [DOE]

    To reduce solar technology risks, DOE and its partners evaluate the performance and reliability of novel photovoltaic (PV) hardware and systems through laboratory and field testing. The focus of...

  11. Waiting to learn a new use of technology: motivation source and its impact on anticipated effect, time pressure and subjective norms 

    E-Print Network [OSTI]

    Loraas, Tina Marie

    2005-11-01

    This research investigated the decision process surrounding the self-regulated learning of new uses of existing technology. With firms investing up to 50% of their capital budgets on information technology (in excess of 1 trillion dollars...

  12. Preferences, Information, and Group Decision Making 

    E-Print Network [OSTI]

    Espinoza, Alejandro

    2009-05-15

    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 ...

  13. Total cost model for making sourcing decisions

    E-Print Network [OSTI]

    Morita, Mark, M.B.A. Massachusetts Institute of Technology

    2007-01-01

    This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

  14. Engineering Advancement Trust 2012 Funding Decisions

    E-Print Network [OSTI]

    Saskatchewan, University of

    Engineering Advancement Trust 2012 Funding Decisions Prepared The College of Engineering is committed to ensuring the quality of our undergraduate programs. The generous contributions from alumni into the Engineering Advancement Trust (EAT) continue

  15. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  16. Information, decision-making and health

    E-Print Network [OSTI]

    Abaluck, Jason T

    2011-01-01

    This thesis consists of three essays on information, decision-making and health. All three concern the relationship between the choices consumers would make if they were "fully informed" in an appropriate sense and the ...

  17. Rock Slopes from Mechanics to Decision Making

    E-Print Network [OSTI]

    Einstein, Herbert H.

    Rock slope instabilities are discussed in the context of decision making for risk assessment and management. Hence, the state of the slope and possible failure mechanism need to be defined first. This is done with geometrical ...

  18. Stochastic Optimization Modeling

    E-Print Network [OSTI]

    2014-07-04

    Third, its theoretical properties were studied (convexity, separability and optimality con- .... in Section 3, have the structure of problems PEV and PS, respectively, and for this reason we review ... may produce poor optimization results as it is depicted in Figure 1 for the instance with ...... Second, it has been assessed that the.

  19. Industrial Optimization Compact Course

    E-Print Network [OSTI]

    Kirches, Christian

    Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role in designing and conducting industrial processes. The potential gains range from saving valuable resources over makers from industry and academia to initiate new projects and to foster new structured collaborations

  20. Innovative Separations Technologies

    SciTech Connect (OSTI)

    J. Tripp; N. Soelberg; R. Wigeland

    2011-05-01

    Reprocessing used nuclear fuel (UNF) is a multi-faceted problem involving chemistry, material properties, and engineering. Technology options are available to meet a variety of processing goals. A decision about which reprocessing method is best depends significantly on the process attributes considered to be a priority. New methods of reprocessing that could provide advantages over the aqueous Plutonium Uranium Reduction Extraction (PUREX) and Uranium Extraction + (UREX+) processes, electrochemical, and other approaches are under investigation in the Fuel Cycle Research and Development (FCR&D) Separations Campaign. In an attempt to develop a revolutionary approach to UNF recycle that may have more favorable characteristics than existing technologies, five innovative separations projects have been initiated. These include: (1) Nitrogen Trifluoride for UNF Processing; (2) Reactive Fluoride Gas (SF6) for UNF Processing; (3) Dry Head-end Nitration Processing; (4) Chlorination Processing of UNF; and (5) Enhanced Oxidation/Chlorination Processing of UNF. This report provides a description of the proposed processes, explores how they fit into the Modified Open Cycle (MOC) and Full Recycle (FR) fuel cycles, and identifies performance differences when compared to 'reference' advanced aqueous and fluoride volatility separations cases. To be able to highlight the key changes to the reference case, general background on advanced aqueous solvent extraction, advanced oxidative processes (e.g., volumetric oxidation, or 'voloxidation,' which is high temperature reaction of oxide UNF with oxygen, or modified using other oxidizing and reducing gases), and fluorination and chlorination processes is provided.