Sample records for optimization model homer

  1. Optimization and life-cycle cost of health clinic PV system for a rural area in southern Iraq using HOMER software

    SciTech Connect (OSTI)

    Al-Karaghouli, Ali; Kazmerski, L.L. [National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401 (United States)

    2010-04-15T23:59:59.000Z

    This paper addresses the need for electricity of rural areas in southern Iraq and proposes a photovoltaic (PV) solar system to power a health clinic in that region. The total daily health clinic load is 31.6 kW h and detailed loads are listed. The National Renewable Energy Laboratory (NREL) optimization computer model for distributed power, ''HOMER,'' is used to estimate the system size and its life-cycle cost. The analysis shows that the optimal system's initial cost, net present cost, and electricity cost is US$ 50,700, US$ 60,375, and US$ 0.238/kW h, respectively. These values for the PV system are compared with those of a generator alone used to supply the load. We found that the initial cost, net present cost of the generator system, and electricity cost are US$ 4500, US$ 352,303, and US$ 1.332/kW h, respectively. We conclude that using the PV system is justified on humanitarian, technical, and economic grounds. (author)

  2. Optimal Design of a Stand-Alone Hybrid PV/Fuel Cell Power System for the City of Brest in France

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , energy cost, HOMER. Nomenclature HOMER = Hybrid Optimization Model for Electric Renewables; PV as a secondary source of energy [18-19]. For such king of hybrid power systems, the sources can be optimallyOptimal Design of a Stand-Alone Hybrid PV/Fuel Cell Power System for the City of Brest in France

  3. Wind and time in Homeric epic

    E-Print Network [OSTI]

    Purves, AC

    2010-01-01T23:59:59.000Z

    73–83. Scott, W. C. 1966. “Wind Imagery in the Oresteia. ”30–35; West 1961: 133–36. Wind and Time in Homeric Epic ———56. Stern, L. 2004. “‘Paths That Wind through the Thicket of

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

    E-Print Network [OSTI]

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

  5. Optimizing Preventive Maintenance Models

    E-Print Network [OSTI]

    Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.

  6. Homer, Alaska: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel Jump to: navigation,Jersey:Heights,Holyoke,HomeHomer Glen,

  7. Optimization Online - Multilevel Optimization Modeling for Risk ...

    E-Print Network [OSTI]

    Jonathan Eckstein

    2014-08-24T23:59:59.000Z

    Aug 24, 2014 ... Abstract: Coherent risk measures have become a popular tool for incorporating risk aversion into stochastic optimization models. For dynamic ...

  8. Beyond the Generation of Leaves: The Imagery of Trees and Human Life in Homer

    E-Print Network [OSTI]

    Stein, Charles David

    2013-01-01T23:59:59.000Z

    Three Homeric Hymns: To Apollo, Hermes, and Aphrodite.his bed is overturned by Apollo’s plague. Cf. Rabel (1997:in the Homeric Hymn to Apollo 156- 164 who sing poems of

  9. Modeling & Optimization An ABB Speciality

    E-Print Network [OSTI]

    generation; transmission systems and substations; network management Low-voltage products; contactors, soft, 2009 | Slide 11 #12;Steps to Achieve Advanced Control / Optimization Build process model: First principle (White Box) Black box Grey box Design controller / optimizer / product Engineer / implement

  10. Negative feedback regulation of Homer 1a on norepinephrine-dependent cardiac hypertrophy

    SciTech Connect (OSTI)

    Chiarello, Carmelina; Bortoloso, Elena; Carpi, Andrea; Furlan, Sandra; Volpe, Pompeo, E-mail: pompeo.volpe@unipd.it

    2013-07-15T23:59:59.000Z

    Homers are scaffolding proteins that modulate diverse cell functions being able to assemble signalling complexes. In this study, the presence, sub-cellular distribution and function of Homer 1 was investigated. Homer 1a and Homer 1b/c are constitutively expressed in cardiac muscle of both mouse and rat and in HL-1 cells, a cardiac cell line. As judged by confocal immunofluorescence microscopy, Homer 1a displays sarcomeric and peri-nuclear localization. In cardiomyocytes and cultured HL-1 cells, the hypertrophic agonist norepinephrine (NE) induces ?{sub 1}-adrenergic specific Homer 1a over-expression, with a two-to-three-fold increase within 1 h, and no up-regulation of Homer 1b/c, as judged by Western blot and qPCR. In HL-1 cells, plasmid-driven over-expression of Homer 1a partially antagonizes activation of ERK phosphorylation and ANF up-regulation, two well-established, early markers of hypertrophy. At the morphometric level, NE-induced increase of cell size is likewise and partially counteracted by exogenous Homer 1a. Under the same experimental conditions, Homer 1b/c does not have any effect on ANF up-regulation nor on cell hypertrophy. Thus, Homer 1a up-regulation is associated to early stages of cardiac hypertrophy and appears to play a negative feedback regulation on molecular transducers of hypertrophy. -- Highlights: • Homer 1a is constitutively expressed in cardiac tissue. • In HL-1 cells, norepinephrine activates signaling pathways leading to hypertrophy. • Homer 1a up-regulation is an early event of norepinephrine-induced hypertrophy. • Homer 1a plays a negative feedback regulation modulating pathological hypertrophy. • Over-expression of Homer 1a per se does not induce hypertrophy.

  11. Optimal linear Glauber model

    E-Print Network [OSTI]

    Shaon Sahoo; Soumya Kanti Ganguly

    2015-02-01T23:59:59.000Z

    Contrary to the actual nonlinear Glauber model (NLGM), the linear Glauber model (LGM) is exactly solvable, although the detailed balance condition is not generally satisfied. This motivates us to address the issue of writing the transition rate ($w_j$) in a best possible linear form such that the mean squared error in satisfying the detailed balance condition is least. The advantage of this work is that, by studying the LGM analytically, we will be able to anticipate how the kinetic properties of an arbitrary Ising system depend on the temperature and the coupling constants. The analytical expressions for the optimal values of the parameters involved in the linear $w_j$ are obtained using a simple Moore-Penrose pseudoinverse matrix. This approach is quite general, in principle applicable to any system and can reproduce the exact results for one dimensional Ising system. In the continuum limit, we get a linear time-dependent Ginzburg-Landau (TDGL) equation from the Glauber's microscopic model of non-conservative dynamics. We analyze the critical and dynamic properties of the model, and show that most of the important results obtained in different studies can be reproduced by our new mathematical approach. We will also show in this paper that the effect of magnetic field can easily be studied within our approach; in particular, we show that the inverse of relaxation time changes quadratically with (weak) magnetic field and that the fluctuation-dissipation theorem is valid for our model.

  12. Stochastic Optimization Modeling

    E-Print Network [OSTI]

    2014-07-04T23:59:59.000Z

    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.

  13. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery

  14. Homer Glen, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel Jump to: navigation,Jersey:Heights,Holyoke,HomeHomer Glen, Illinois:

  15. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Steam distillation column Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  16. 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

  17. OPTIMAL CONTROL WITH ADAPTIVE INTERNAL DYNAMICS MODELS

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    . The optimal feedback control law for systems with non-linear dynamics and non-quadratic costs can be foundOPTIMAL CONTROL WITH ADAPTIVE INTERNAL DYNAMICS MODELS Djordje Mitrovic, Stefan Klanke, and Sethu, optimal control, adaptive control, robot simulation Abstract: Optimal feedback control has been proposed

  18. MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE

    E-Print Network [OSTI]

    MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS By MUHAMMAD HAIDER KHAN AND OPTIMIZATION OF GROUND SOURCE HEAT PUMP SYSTEMS Thesis Approved..................................................................................................................... 1 1.1 Overview of Ground Source Heat Pump Systems.............................................. 1 1

  19. Toward optimized code generation through model-based optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha.gerard, francois.terrier}@cea.fr Pierre Boulet LIFL, CNRS/INRIA, Université de Lille 1, Parc de la Haute Borne, Bât tools like synthesis of system's application by automatic code generation. Real-Time and Embedded

  20. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Distillation Column FI Model Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  1. Optimal Model-Based Production Planning for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor to refinery profit and economics Refinery production planning models Operation optimization Crude selection Integrate scheduling into planning model Current Project collaboration with BP Goal: develop a refinery

  2. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning

  3. The Postsynaptic Density Proteins Homer and Shank Form a Polymeric Network Structure

    SciTech Connect (OSTI)

    Hayashi, M.; Tang, C; Verpelli, C; Narayanan, R; Stearns, M; Xu, R; Li, H; Sala, C; Hayashi, Y

    2009-01-01T23:59:59.000Z

    The postsynaptic density (PSD) is crucial for synaptic functions, but the molecular architecture retaining its structure and components remains elusive. Homer and Shank are among the most abundant scaffolding proteins in the PSD, working synergistically for maturation of dendritic spines. Here, we demonstrate that Homer and Shank, together, form a mesh-like matrix structure. Crystallographic analysis of this region revealed a pair of parallel dimeric coiled coils intercalated in a tail-to-tail fashion to form a tetramer, giving rise to the unique configuration of a pair of N-terminal EVH1 domains at each end of the coiled coil. In neurons, the tetramerization is required for structural integrity of the dendritic spines and recruitment of proteins to synapses. We propose that the Homer-Shank complex serves as a structural framework and as an assembly platform for other PSD proteins.

  4. Model-Based Transient Calibration Optimization for Next Generation...

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

    Model-Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel...

  5. Modeling and Optimization of Interpenetrating Polymer

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Modeling and Optimization of Interpenetrating Polymer Network Process Weijie Lin, Lorenz T. Biegler. Crosslinking Features Complex diffusion; single component reaction Complex composite networking reaction · Initiator feeding rate · Initial polymer · Monomer concentration · Initiator concentration · Holding

  6. Nonlinear Optimization in Modeling Environments

    E-Print Network [OSTI]

    Administrator

    2005-01-26T23:59:59.000Z

    Dec 16, 2004 ... procedure that will, in effect, be close in efficiency to a passive uniform grid search. For this reason, in a .... Benson and Sun (2000). Let us also ...... Optimization AB, Västerås, Sweden. http://www.tomlab.biz. Pintér, J.D. and ...

  7. Optimization Modeling and Programming in Xpress-

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    the business problem in the Mosel algebraic modeling language · Ex: Capital Budgeting · Set of projects resources · Select set of projects to maximize return #12;Developing an optimization model Building Block 1-user · protects intellectual property · platform independent · efficient #12;More Mosel Features · Modeling

  8. INTERNATIONAL STUDIES AND PROGRAMS, MICHIGAN STATE UNIVERSITY HOMER HIGBEE INTERNATIONAL EDUCATION AWARD

    E-Print Network [OSTI]

    INTERNATIONAL STUDIES AND PROGRAMS, MICHIGAN STATE UNIVERSITY HOMER HIGBEE INTERNATIONAL EDUCATION awareness at Michigan State University through involvement in programs that promote cross exchange during the 25 years that he served in the Office of International Studies and Programs at Michigan

  9. OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS

    E-Print Network [OSTI]

    OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS Bengt Carlsson, Anders Ahl'en and Mikael Sternad \\Lambda November 1989 Abstract The problem of estimating the time derivative of a signal from sam is to use stochastic models of the signal to be differentiated and of the measurement noise. Two approaches

  10. NREL: Technology Transfer - HOMER Software Grows from NREL Origins...

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

    NREL's International and Village Power Programs, he saw a need for a better way to design hybrid renewable energy microgrids. He began developing the Hybrid Optimization of...

  11. NREL: Energy Systems Integration - HOMER Software Grows from...

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

    NREL's International and Village Power Programs, he saw a need for a better way to design hybrid renewable energy microgrids. He began developing the Hybrid Optimization of...

  12. Modeling and Optimization for Interpenetrating polymer

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Modeling and Optimization for Interpenetrating polymer network process 1 Weijie Lin, Lorenz T #12;Project Overview · IPN Interpenetrating polymer network ­ A combination of two polymers in a network form Fig. 2 An IPN process example · Typical Sequential Type of Process Fig. 1 IPN network

  13. MODELING, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP

    E-Print Network [OSTI]

    MODELING, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS Thesis Approved by: Dr.................................................................................................................... 16 MODELING OF HYBRID GROUND SOURCE HEAT PUMP SYSTEMS IN ENERGYPLUS

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

    E-Print Network [OSTI]

    Patriksson, Michael

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

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

    E-Print Network [OSTI]

    Victoria, University of

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

  16. AUTOMATIC GENERATION OF OPTIMAL CONTROLLERS THROUGH MODEL CHECKING TECHNIQUES

    E-Print Network [OSTI]

    Tronci, Enrico

    AUTOMATIC GENERATION OF OPTIMAL CONTROLLERS THROUGH MODEL CHECKING TECHNIQUES Giuseppe Della Penna Keywords: Controller Synthesis, Controller Optimization, Model Checking, Nonlinear Systems Abstract: We INTRODUCTION Control systems (or, shortly, controllers) are small hardware/software components that control

  17. Optimization Models in Finance (26:711:564) Andrzej Ruszczynski

    E-Print Network [OSTI]

    to optimization models. 2 Elements of convex analysis. 3 Linear programming models. Optimality. 4 Duality in linear programming. Application to asset pricing. 5 Nonlinear programming models. Optimality. 6 Duality. Graded Work Homework will be assigned twice a month as a means to help you understand the concepts

  18. Code Differentiation for Hydrodynamic Model Optimization

    SciTech Connect (OSTI)

    Henninger, R.J.; Maudlin, P.J.

    1999-06-27T23:59:59.000Z

    Use of a hydrodynamics code for experimental data fitting purposes (an optimization problem) requires information about how a computed result changes when the model parameters change. These so-called sensitivities provide the gradient that determines the search direction for modifying the parameters to find an optimal result. Here, the authors apply code-based automatic differentiation (AD) techniques applied in the forward and adjoint modes to two problems with 12 parameters to obtain these gradients and compare the computational efficiency and accuracy of the various methods. They fit the pressure trace from a one-dimensional flyer-plate experiment and examine the accuracy for a two-dimensional jet-formation problem. For the flyer-plate experiment, the adjoint mode requires similar or less computer time than the forward methods. Additional parameters will not change the adjoint mode run time appreciably, which is a distinct advantage for this method. Obtaining ''accurate'' sensitivities for the j et problem parameters remains problematic.

  19. Optimization Models in Finance (26:711:564) Andrzej Ruszczynski

    E-Print Network [OSTI]

    Lin, Xiaodong

    Optimization Models in Finance (26:711:564) Andrzej Ruszczynski Objectives The objective of this course is to introduce models and computational methods for static and dynamic optimization problems occurring in finance. Special attention will be devoted to portfolio optimization and to risk management

  20. Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka.dentcheva@stevens.edu

    E-Print Network [OSTI]

    Dentcheva, Darinka

    Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka and dynamic optimization problems occurring in finance. We shall discuss linear and non-linear optimization models of finance, dynamic (se- quential) optimization, optimization under uncertainty, mathematical

  1. Finding Benefits by Modeling and Optimizing Steam and Power Systems

    E-Print Network [OSTI]

    Jones, B.; Nelson, D.

    2007-01-01T23:59:59.000Z

    A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...

  2. Finding Benefits by Modeling and Optimizing Steam and Power Systems 

    E-Print Network [OSTI]

    Jones, B.; Nelson, D.

    2007-01-01T23:59:59.000Z

    A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...

  3. 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. ...

  4. Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization justified the choice of heuristic ergonomic criteria, a mathematical function for the ergonomic eval- uation the arrangement have any alphanumeric logical order nor is it optimized according to a high hit rate or ergonomic

  5. Optimal Synthesis of Complex Distillation ColumnsUsing Rigorous Models

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    a review of recent work for the optimal design of distillation of individual columns using tray review of the area of optimal design and synthesis of distillation columns, emphasizing recentOptimal Synthesis of Complex Distillation ColumnsUsing Rigorous Models Ignacio E. Grossmann1 , Pío

  6. Error Control Based Model Reduction for Parameter Optimization of Elliptic

    E-Print Network [OSTI]

    of technical devices that rely on multiscale processes, such as fuel cells or batteries. As the solutionError Control Based Model Reduction for Parameter Optimization of Elliptic Homogenization Problems optimization of elliptic multiscale problems with macroscopic optimization functionals and microscopic material

  7. Computational Modeling and Optimization of Proton Exchange Membrane Fuel Cells

    E-Print Network [OSTI]

    Victoria, University of

    Computational Modeling and Optimization of Proton Exchange Membrane Fuel Cells by Marc Secanell and Optimization of Proton Exchange Membrane Fuel Cells by Marc Secanell Gallart Bachelor in Engineering cells. In this thesis, a computational framework for fuel cell analysis and optimization is presented

  8. Preprint submitted to SAE Optimal Control Based Modeling of

    E-Print Network [OSTI]

    Stryk, Oskar von

    Preprint submitted to SAE Optimal Control Based Modeling of Vehicle Driver Properties Torsten Butz. On the stabilization level, a nonlinear position controller guides the full vehicle dynamics model along the prescribed operation and at the driving limits. In the following, we investigate an optimal control based model

  9. Optimization Online - A stabilized model and an efficient solution ...

    E-Print Network [OSTI]

    Vincent Guigues

    2011-02-24T23:59:59.000Z

    Feb 24, 2011 ... A stabilized model and an efficient solution method for the yearly optimal power management. Vincent Guigues(vguigues ***at*** puc-rio.br).

  10. H2 -optimal model reduction of MIMO systems

    E-Print Network [OSTI]

    2007-09-28T23:59:59.000Z

    Keyword Multivariable systems, model reduction, optimal H2 approximation, tangential interpolation. 1 Introduction. In this paper we will consider the problem of ...

  11. Model Identification for Optimal Diesel Emissions Control

    SciTech Connect (OSTI)

    Stevens, Andrew J.; Sun, Yannan; Song, Xiaobo; Parker, Gordon

    2013-06-20T23:59:59.000Z

    In this paper we develop a model based con- troller for diesel emission reduction using system identification methods. Specifically, our method minimizes the downstream readings from a production NOx sensor while injecting a minimal amount of urea upstream. Based on the linear quadratic estimator we derive the closed form solution to a cost function that accounts for the case some of the system inputs are not controllable. Our cost function can also be tuned to trade-off between input usage and output optimization. Our approach performs better than a production controller in simulation. Our NOx conversion efficiency was 92.7% while the production controller achieved 92.4%. For NH3 conversion, our efficiency was 98.7% compared to 88.5% for the production controller.

  12. Optimal control with adaptive internal dynamics models 

    E-Print Network [OSTI]

    Mitrovic, Djordje; Klanke, Stefan; Vijayakumar, Sethu

    2008-01-01T23:59:59.000Z

    Optimal feedback control has been proposed as an attractive movement generation strategy in goal reaching tasks for anthropomorphic manipulator systems. The optimal feedback control law for systems with non-linear dynamics ...

  13. Sensitivity of Optimal Operation of an Activated Sludge Process Model

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process

  14. Optimization of Modelica Models with JModelica.org and Optimica

    E-Print Network [OSTI]

    Optimization of Modelica Models with JModelica.org and Optimica #12;Outline · Modelica · Dynamic · Modelica · Dynamic optimization and Optimica · The JModelica.org open source project · Applications · What's next? #12;What is Modelica? · A language for modeling of complex heterogeneous physical systems · Open

  15. Model-based Lifecycle Optimization of Well Locations

    E-Print Network [OSTI]

    Van den Hof, Paul

    Model-based Lifecycle Optimization of Well Locations and Production Settings in Petroleum Reservoirs #12;#12;MODEL-BASED LIFECYCLE OPTIMIZATION OF WELL LOCATIONS AND PRODUCTION SETTINGS IN PETROLEUM System Approach Petroleum Production" (ISAPP) programme. The knowledge center is a long-term co

  16. Math 574 --Optimization Models in Computational Biology (Spring 2008)

    E-Print Network [OSTI]

    Krishnamoorthy, Bala

    Bioinformatics and computational biology (BCB) is one of the "hottest" interdisciplinary areas of sci- ence todayMath 574 -- Optimization Models in Computational Biology (Spring 2008) Course Title Topics in Optimization: Models in Computational Biology Time Tue-Thu 12:00­1:15 pm Credits 3 Location Webster B12

  17. Utility system integration and optimization models for nuclear power management

    E-Print Network [OSTI]

    Deaton, Paul Ferris

    1973-01-01T23:59:59.000Z

    A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...

  18. Local energy management through mathematical modeling and optimization

    E-Print Network [OSTI]

    Craft David (David Loren), 1973-

    2004-01-01T23:59:59.000Z

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

  19. Optimal portfolios using Linear Programming models

    E-Print Network [OSTI]

    Cpu

    2002-10-17T23:59:59.000Z

    Feb 12, 2003 ... The problem. The portfolio manager Sigma wants to construct an optimal portfolio for a customer. .... It is easy to show that it is also possible ...

  20. Stochastic optimal control with learned dynamics models 

    E-Print Network [OSTI]

    Mitrovic, Djordje

    2011-01-01T23:59:59.000Z

    The motor control of anthropomorphic robotic systems is a challenging computational task mainly because of the high levels of redundancies such systems exhibit. Optimality principles provide a general strategy to resolve ...

  1. Correlation decay and decentralized optimization in graphical models

    E-Print Network [OSTI]

    Weber, Theophane

    2010-01-01T23:59:59.000Z

    Many models of optimization, statistics, social organizations and machine learning capture local dependencies by means of a network that describes the interconnections and interactions of different components. However, in ...

  2. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01T23:59:59.000Z

    In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals with the development of simulation models to describe and optimize...

  3. An Optimization Model for Eco-Driving at Signalized Intersection

    E-Print Network [OSTI]

    Chen, Zhi

    2013-07-15T23:59:59.000Z

    This research develops an optimization model for eco-driving at signalized intersection. In urban areas, signalized intersections are the “hot spots” of air emissions and have significant negative environmental and health impacts. Eco-driving is a...

  4. Online Modeling in the Process Industry for Energy Optimization

    E-Print Network [OSTI]

    Alexander, J.

    "This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam...

  5. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing...

  6. Contingency contractor optimization. Phase 3, model description and formulation.

    SciTech Connect (OSTI)

    Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Durfee, Justin D.; Jones, Dean A.; Martin, Nathaniel; Detry, Richard Joseph; Nanco, Alan Stewart; Nozick, Linda Karen [Cornell University

    2013-10-01T23:59:59.000Z

    The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.

  7. Contingency contractor optimization. phase 3, model description and formulation.

    SciTech Connect (OSTI)

    Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Detry, Richard Joseph; Durfee, Justin D.; Jones, Dean A.; Martin, Nathaniel; Nanco, Alan Stewart; Nozick, Linda Karen

    2013-06-01T23:59:59.000Z

    The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.

  8. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1. Overall material balance around the column: using LP equations only 2. Material balance initialization is important for convergence Initial values are generated using optimized column material balance for the column internal streams: using NLP equations. No energy balance or equilibrium equation Additional

  9. Modeling and optimization of a chiller plant Xiupeng Wei*

    E-Print Network [OSTI]

    Kusiak, Andrew

    Modeling and optimization of a chiller plant Xiupeng Wei* , Guanglin Xu 1 , Andrew Kusiak 1 algorithm Chiller plant Neural network Data-driven model a b s t r a c t A data-driven approach is utilized to model a chiller plant that has four chillers, four cooling towers, and two chilled water storage tanks

  10. Modeling and Optimizing Ergonomic Activities in Automobile Product Development

    E-Print Network [OSTI]

    da Silva, Alberto Rodrigues

    Modeling and Optimizing Ergonomic Activities in Automobile Product Development João Ferreira Anna.silva@acm.org Abstract We collect ergonomic rules and normative rules considerations for automobile business and modeled these activities with a special UML language created for automobile business, VDML (Vehicle Development Modeling

  11. COBRA-SFS modifications and cask model optimization

    SciTech Connect (OSTI)

    Rector, D.R.; Michener, T.E.

    1989-01-01T23:59:59.000Z

    Spent-fuel storage systems are complex systems and developing a computational model for one can be a difficult task. The COBRA-SFS computer code provides many capabilities for modeling the details of these systems, but these capabilities can also allow users to specify a more complex model than necessary. This report provides important guidance to users that dramatically reduces the size of the model while maintaining the accuracy of the calculation. A series of model optimization studies was performed, based on the TN-24P spent-fuel storage cask, to determine the optimal model geometry. Expanded modeling capabilities of the code are also described. These include adding fluid shear stress terms and a detailed plenum model. The mathematical models for each code modification are described, along with the associated verification results. 22 refs., 107 figs., 7 tabs.

  12. Safety Evaluation Report for the Claiborne Enrichment Center, Homer, Louisiana (Docket No. 70-3070)

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    This report documents the US Nuclear Regulatory Commission (NRC) staff review and safety evaluation of the Louisiana Energy Services, L.P. (LES, the applicant) application for a license to possess and use byproduct, source, and special nuclear material and to enrich natural uranium to a maximum of 5 percent U-235 by the gas centrifuge process. The plant, to be known as the Claiborne Enrichment Center (CEC), would be constructed near the town of Homer in Claiborne Parish, Louisiana. At full production in a given year, the plant will receive approximately 4,700 tonnes of feed UF{sub 6} and produce 870 tonnes of low-enriched UF{sub 6}, and 3,830 tonnes of depleted UF{sub 6} tails. Facility construction, operation, and decommissioning are expected to last 5, 30, and 7 years, respectively. The objective of the review is to evaluate the potential adverse impacts of operation of the facility on worker and public health and safety under both normal operating and accident conditions. The review also considers the management organization, administrative programs, and financial qualifications provided to assure safe design and operation of the facility. The NRC staff concludes that the applicant`s descriptions, specifications, and analyses provide an adequate basis for safety review of facility operations and that construction and operation of the facility does not pose an undue risk to public health and safety.

  13. An optimization approach to kinetic model reduction for combustion chemistry

    E-Print Network [OSTI]

    Lebiedz, Dirk

    2013-01-01T23:59:59.000Z

    Model reduction methods are relevant when the computation time of a full convection-diffusion-reaction simulation based on detailed chemical reaction mechanisms is too large. In this article, we review a model reduction approach based on optimization of trajectories and show its applicability to realistic combustion models. As most model reduction methods, it identifies points on a slow invariant manifold based on time scale separation in the dynamics of the reaction system. The numerical approximation of points on the manifold is achieved by solving a semi-infinite optimization problem, where the dynamics enter the problem as constraints. The proof of existence of a solution for an arbitrarily chosen dimension of the reduced model (slow manifold) is extended to the case of realistic combustion models including thermochemistry by considering the properties of proper maps. The model reduction approach is finally applied to three models based on realistic reaction mechanisms: 1. ozone decomposition as a small t...

  14. 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

  15. Finding Benefits by Modeling and Optimizing Steam and Power Systems

    E-Print Network [OSTI]

    Harper, C.; Nelson, D. A.

    2008-01-01T23:59:59.000Z

    operator is given optimal production targets to achieve from Visual MESA Online writing to the plants SCADA system. The OCC duty control engineer monitors Bayou’s operations and the online Visual MESA model and also runs offline models to analyze potential...

  16. A grid model for the design, coordination and dimensional optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A grid model for the design, coordination and dimensional optimization in architecture D.Léonard1 54000 Nancy, France INTRODUCTION Our article treats layout grids in architecture and their use. It initially proposes to define an architectural grid model as well as a set of operations to construct them

  17. Optimization Online - Nonlinear Model Predictive Control via ...

    E-Print Network [OSTI]

    M. J. Tenny

    2002-08-15T23:59:59.000Z

    Aug 15, 2002 ... Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming. M. J. Tenny (tenny ***at*** bevo.che.wisc.edu)

  18. Optimization Online - Extending Algebraic Modelling Languages for ...

    E-Print Network [OSTI]

    Christian Valente

    2006-12-27T23:59:59.000Z

    Dec 27, 2006 ... Extending Algebraic Modelling Languages for Stochastic Programming. Christian Valente(Christian.Valente ***at*** brunel.ac.uk) Gautam ...

  19. Gravitational Lens Modeling with Genetic Algorithms and Particle Swarm Optimizers

    E-Print Network [OSTI]

    Rogers, Adam

    2011-01-01T23:59:59.000Z

    Strong gravitational lensing of an extended object is described by a mapping from source to image coordinates that is nonlinear and cannot generally be inverted analytically. Determining the structure of the source intensity distribution also requires a description of the blurring effect due to a point spread function. This initial study uses an iterative gravitational lens modeling scheme based on the semilinear method to determine the linear parameters (source intensity profile) of a strongly lensed system. Our 'matrix-free' approach avoids construction of the lens and blurring operators while retaining the least squares formulation of the problem. The parameters of an analytical lens model are found through nonlinear optimization by an advanced genetic algorithm (GA) and particle swarm optimizer (PSO). These global optimization routines are designed to explore the parameter space thoroughly, mapping model degeneracies in detail. We develop a novel method that determines the L-curve for each solution automa...

  20. Modeling and optimization of Interpenetrating polymer

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -state mass balance conservation equation Reaction-diffusion model Fick's first law Concentration Velocity to design new materials ­ Key characteristic : Tough & flexible · High value material Huge market industry 3

  1. Power Modeling and Optimization for GPGPUs

    E-Print Network [OSTI]

    Li, Zhi

    2013-05-31T23:59:59.000Z

    Caused by the switching of transistors to charge and discharge the load capacitance, dynamic power can be calculated by the following equation: 2 d ddP aCV f? (1) Here, the activity factor, a , is a fraction between 0 and 1 indicating how often... in [17]. 3.2 Power Modeling Methodology The basic idea to calculate dynamic power of streaming multiprocessors in this model is similar to Wattch. I consider dynamic power of different structure blocks inside each SM, 10 and calculate...

  2. Efficient Production Optimization Using Flow Network Models

    E-Print Network [OSTI]

    Lerlertpakdee, Pongsathorn

    2012-10-19T23:59:59.000Z

    of the physical processes that govern the long-term behavior of the reservoir. We present an alternative solution that combines the advantages of both statistics-based and physics-based methods by deriving the flow predictions in complex two-dimensional models...

  3. Bootstrap for model selection: linear approximation of the optimism

    E-Print Network [OSTI]

    Verleysen, Michel

    Bootstrap for model selection: linear approximation of the optimism G. Simon1 , A. Lendasse2 , M. Lemaître 4, B-1348 Louvain-la-Neuve, Belgium, lendasse@auto.ucl.ac.be Abstract. The bootstrap resampling, as artificial neural networks. Nevertheless, the use of the bootstrap implies a high computational load

  4. Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized

    E-Print Network [OSTI]

    Theory Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized Radiation Dosing is inevi- table and survival has improved minimally over the last 50 years. Recent studies have suggested from glioblastoma (GBM), the most common and malignant primary brain tumor, have very poor survival

  5. Optimization Models for Shale Gas Water Management Linlin Yang

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimization Models for Shale Gas Water Management Linlin Yang , Jeremy Manno and Ignacio E. Grossmann Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA Carrizo Oil & Gas and multiple scenarios from historical data. Two examples representative of the Marcellus Shale play

  6. Optimization of flagellar swimming by a model sperm

    E-Print Network [OSTI]

    B. U. Felderhof

    2015-05-05T23:59:59.000Z

    The swimming of a bead-spring chain in a viscous incompressible fluid as a model of a sperm is studied in the framework of low Reynolds number hydrodynamics. The optimal mode in the class of planar flagellar strokes of small amplitude is determined on the basis of a generalized eigenvalue problem involving two matrices which can be evaluated from the mobility matrix of the set of spheres constituting the chain. For an elastic chain with a cargo constraint for its spherical head, the actuating forces yielding a nearly optimal stroke can be determined. These can be used in a Stokesian dynamics simulation of large amplitude swimming.

  7. 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

  8. Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines

    E-Print Network [OSTI]

    Victoria, University of

    Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines by Matthew Thomas Jair. Curran Crawford, Supervisor (Department of Mechanical Engineering) ABSTRACT Floating offshore wind

  9. Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits

    E-Print Network [OSTI]

    Stryk, Oskar von

    Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits. A fully three- dimensional dynamical model of Sony's four-legged robot is used to state an optimal control model and the algorithm for evaluating the dynamics. The formulation of the optimal control problem

  10. An Optimization Approach for Effective Formalized fUML Model Checking

    E-Print Network [OSTI]

    Doran, Simon J.

    An Optimization Approach for Effective Formalized fUML Model Checking Islam Abdelhalim, Steve that makes use of a restricted CSP model (because it follows certain formalization rules) to optimize; the first one provides optimization advice to the modeller, while the second one au- tomatically applies

  11. Discrete-Time ARMAv Model-Based Optimal Sensor Placement

    SciTech Connect (OSTI)

    Song Wei; Dyke, Shirley J. [Washington University in St. Louis, St. Louis, MO 63130 (United States)

    2008-07-08T23:59:59.000Z

    This paper concentrates on the optimal sensor placement problem in ambient vibration based structural health monitoring. More specifically, the paper examines the covariance of estimated parameters during system identification using auto-regressive and moving average vector (ARMAv) model. By utilizing the discrete-time steady state Kalman filter, this paper realizes the structure's finite element (FE) model under broad-band white noise excitations using an ARMAv model. Based on the asymptotic distribution of the parameter estimates of the ARMAv model, both a theoretical closed form and a numerical estimate form of the covariance of the estimates are obtained. Introducing the information entropy (differential entropy) measure, as well as various matrix norms, this paper attempts to find a reasonable measure to the uncertainties embedded in the ARMAv model estimates. Thus, it is possible to select the optimal sensor placement that would lead to the smallest uncertainties during the ARMAv identification process. Two numerical examples are provided to demonstrate the methodology and compare the sensor placement results upon various measures.

  12. Dynamic Optimization in Continuous-Time Economic Models (A Guide for the Perplexed)

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Dynamic Optimization in Continuous-Time Economic Models (A Guide for the Perplexed) Maurice, continuous-time modeling allows application of a powerful mathematical tool, the theory of optimal dynamic control. The basic idea of optimal control theory is easy to grasp-- indeed it follows from elementary

  13. Optimal control of CPR procedure using hemodynamic circulation model

    DOE Patents [OSTI]

    Lenhart, Suzanne M. (Knoxville, TN); Protopopescu, Vladimir A. (Knoxville, TN); Jung, Eunok (Seoul, KR)

    2007-12-25T23:59:59.000Z

    A method for determining a chest pressure profile for cardiopulmonary resuscitation (CPR) includes the steps of representing a hemodynamic circulation model based on a plurality of difference equations for a patient, applying an optimal control (OC) algorithm to the circulation model, and determining a chest pressure profile. The chest pressure profile defines a timing pattern of externally applied pressure to a chest of the patient to maximize blood flow through the patient. A CPR device includes a chest compressor, a controller communicably connected to the chest compressor, and a computer communicably connected to the controller. The computer determines the chest pressure profile by applying an OC algorithm to a hemodynamic circulation model based on the plurality of difference equations.

  14. Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using a Simulation-Based Approximate

    E-Print Network [OSTI]

    Fernandez, Emmanuel

    Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling schedules. I. INTRODUCTION In semiconductor manufacturing systems, or fabs, pre- ventive maintenance (PM

  15. Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation-switching model for the risk adjusted natural gas spot price and study the implications of the model on the valuation and optimal operation of natural gas storage facilities. We calibrate the model parameters to both

  16. Stochastic Modeling and Optimization for Energy Management in Multi-Core Systems

    E-Print Network [OSTI]

    Tasiran, Serdar

    1 Stochastic Modeling and Optimization for Energy Management in Multi-Core Systems: A Video and optimization framework which leads to effective energy management policies. At the heart of this framework lie to obtain optimal energy management policies. These policies minimize the average energy consumption using

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

    E-Print Network [OSTI]

    Mountziaris, T. J.

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

  18. Geometry optimization methods for modeling large molecules O don Farkasa,*, H. Bernhard Schlegelb

    E-Print Network [OSTI]

    Schlegel, H. Bernhard

    Geometry optimization methods for modeling large molecules O¨ do¨n Farkasa,*, H. Bernhard Schlegelb, Wayne State University, Detroit, USA Abstract Geometry optimization is an essential part of quantum that there are different requirements for a chosen optimization method. The proposed method aims to meet two requirements

  19. Optimization of the structural Gabor functions in a homogeneous velocity model

    E-Print Network [OSTI]

    Cerveny, Vlastislav

    Optimization of the structural Gabor functions in a homogeneous velocity model for a zero-o#11;set functions should be optimized, and the Gabor functions should form a frame. We present a simple attempt functions and the space{wavenumber lattice of their central points are optimized analytically

  20. Optimal Control of Distributed Energy Resources using Model Predictive Control

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

    2012-07-22T23:59:59.000Z

    In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

  1. Object-oriented Dynamics Modeling for Legged Robot Trajectory Optimization and Control

    E-Print Network [OSTI]

    Stryk, Oskar von

    Object-oriented Dynamics Modeling for Legged Robot Trajectory Optimization and Control Robert. To facilitate the investigation of new concepts of nonlinear model-based optimization and control methods also-level specification of multibody dynamics models using component libraries serves as a basis for generation

  2. Optimization of Pacing Strategies for Cycling Time Trials Using a Smooth 6-Parameter Endurance Model

    E-Print Network [OSTI]

    Deussen, Oliver

    .1. The mechanical - -model As established by [1], the relationship between pedalling power (control variable time trials can be formulated as an optimal control problem, where a mechanical model review approaches that use the 3-parameter critical power model to compute optimal pacing strategies

  3. Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System

    E-Print Network [OSTI]

    Qiu, Qinru

    Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System and issues control commands periodically. Reference [3] models the similar system using the continuous a full observation of the entire system status. In this paper, we propose a new modeling and optimization

  4. 20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev

    E-Print Network [OSTI]

    Dimov, Ivan

    20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev ABSTRACT. The appearance of optimization problems in the field of air pollution modeling and their importance arising in air pollution modeling will be considered. We shall present a review of some approaches

  5. Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)

    SciTech Connect (OSTI)

    Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.

    2012-05-01T23:59:59.000Z

    This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).

  6. Multi-model Simulation for Optimal Control of Aeroacoustics.

    SciTech Connect (OSTI)

    Collis, Samuel Scott; Chen, Guoquan

    2005-05-01T23:59:59.000Z

    Flow-generated noise, especially rotorcraft noise has been a serious concern for bothcommercial and military applications. A particular important noise source for rotor-craft is Blade-Vortex-Interaction (BVI)noise, a high amplitude, impulsive sound thatoften dominates other rotorcraft noise sources. Usually BVI noise is caused by theunsteady flow changes around various rotor blades due to interactions with vorticespreviously shed by the blades. A promising approach for reducing the BVI noise isto use on-blade controls, such as suction/blowing, micro-flaps/jets, and smart struc-tures. Because the design and implementation of such experiments to evaluate suchsystems are very expensive, efficient computational tools coupled with optimal con-trol systems are required to explore the relevant physics and evaluate the feasibilityof using various micro-fluidic devices before committing to hardware.In this thesis the research is to formulate and implement efficient computationaltools for the development and study of optimal control and design strategies for com-plex flow and acoustic systems with emphasis on rotorcraft applications, especiallyBVI noise control problem. The main purpose of aeroacoustic computations is todetermine the sound intensity and directivity far away from the noise source. How-ever, the computational cost of using a high-fidelity flow-physics model across thefull domain is usually prohibitive and itmight also be less accurate because of thenumerical diffusion and other problems. Taking advantage of the multi-physics andmulti-scale structure of this aeroacoustic problem, we develop a multi-model, multi-domain (near-field/far-field) method based on a discontinuous Galerkin discretiza-tion. In this approach the coupling of multi-domains and multi-models is achievedby weakly enforcing continuity of normal fluxes across a coupling surface. For ourinterested aeroacoustics control problem, the adjoint equations that determine thesensitivity of the cost functional to changes in control are also solved with same ap-proach by weakly enforcing continuity ofnormal fluxes across a coupling surface.Such formulations have been validated extensively for several aeroacoustics state andcontrol problems.A multi-model based optimal control framework has been constructed and ap-plied to our interested BVI noise control problem. This model problem consists ofthe interaction of a compressible vortex with Bell AH-1 rotor blade with wall-normal3 velocity used as control on the rotor blade surface. The computational domain isdecomposed into the near-field and far-field. The near-field is obtained by numericalsolution of the Navier-Stokes equations while far away from the noise source, wherethe effect of nonlinearities is negligible, the linearized Euler equations are used tomodel the acoustic wave propagation. The BVI wave packet is targeted by definingan objective function that measures the square amplitude of pressure fluctuations inan observation region, at a time interval encompassing the dominant leading edgecompressibility waves. Our control results show that a 12dB reduction in the ob-servation region is obtained. Interestingly, the control mechanism focuses on theobservation region and only minimize the sound level in that region at the expense ofother regions. The vortex strength and trajectory get barely changed. However, theoptimal control does alter the interaction of the vortical and potential fields, whichis the source of BVI noise. While this results in a slight increase in drag, there is asignificant reduction in the temporal gradient of lift leading to a reduction in BVIsound levels.4

  7. Optimal trade execution and absence of price manipulations in limit order book models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Optimal trade execution and absence of price manipulations in limit order book models Aur and optimal trade execution strategies in a model for an electronic limit order book with nonlinear price function of the limit order book, placing deterministic trade sizes at trading dates that are homogeneously

  8. Optimal Nonmyopic Value of Information in Graphical Models Efficient Algorithms and Theoretical Limits

    E-Print Network [OSTI]

    Optimal Nonmyopic Value of Information in Graphical Models ­ Efficient Algorithms and Theoretical, we present the first efficient optimal algorithms for selecting observations for a class of graphical: In most graphical models tasks, if one designs an efficient algorithm for chain graphs, such as HMMs

  9. Optimal Nonmyopic Value of Information in Graphical Models --Efficient Algorithms and Theoretical Limits

    E-Print Network [OSTI]

    Optimal Nonmyopic Value of Information in Graphical Models -- Efficient Algorithms and Theoretical, we present the first efficient optimal algorithms for selecting observations for a class of graphical: In most graphical models tasks, if one designs an efficient algorithm for chain graphs, such as HMMs

  10. Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa

    E-Print Network [OSTI]

    Seok, Chaok

    of protein folding and ligand docking are large and complex. Few systematic methods have yet been developed apply this parameter optimization method to the recently developed Gaussian model of protein folding Science Ltd. All rights reserved. Keywords: Gaussian model; Protein folding; Parameter optimization 1

  11. MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS Amelia McNamara

    E-Print Network [OSTI]

    MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS By Amelia McNamara Jordan Seering and Yi Zeng: 612/626-7370 URL: http://www.ima.umn.edu #12;Model and Optimization of Organic Photovoltaic Cells the organic photovoltaic cell, an important topic in the energy industry which has not been well studied. We

  12. Using the NOABL flow model and mathematical optimization as a micrositing tool

    SciTech Connect (OSTI)

    Wegley, H.L.; Barnard, J.C.

    1986-11-01T23:59:59.000Z

    This report describes the use of an improved mass-consistent model that is intended for diagnosing wind fields in complex terrain. The model was developed by merging an existing mass-consistent model, the NOABL model, with an optimization procedure. The optimization allows objective calculation of important model input parameters that previously had been supplied through guesswork; in this manner, the accuracy of the calculated winds has been greatly increased. The report covers such topics as the software structure of the model, assembling an input file, processing the model's output, and certain cautions about the model's operation. The use of the model is illustrated by a test case.

  13. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow original statistical classification method using a deformable template model separate natural objects man template, along admissible linear transformations, to take account shape variability. classification

  14. Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model

    E-Print Network [OSTI]

    Liang, Faming

    . For example, the HP model1 treats each amino acid as a point particle and restricts the model to fold of the energy landscape, so it is an excellent tool for Monte Carlo optimization. The ACMC algorithm is an accel

  15. Reliability-yield allocation for semiconductor integrated circuits: modeling and optimization

    E-Print Network [OSTI]

    Ha, Chunghun

    2005-11-01T23:59:59.000Z

    This research develops yield and reliability models for fault-tolerant semiconductor integrated circuits and develops optimization algorithms that can be directly applied to these models. Since defects cause failures in microelectronics systems...

  16. Optimal foreign borrowing in a multisector dynamic equilibrium model for Brazil

    E-Print Network [OSTI]

    Tourinho, Octv?io A. F.

    1985-01-01T23:59:59.000Z

    This paper shows how a dynamic multisector equilibrium model can be formulated to be able to analyze the optimal borrowing policy of a developing country. It also describes how a non-linear programming model with the ...

  17. Embedded Online Optimization for Model Predictive Control at ...

    E-Print Network [OSTI]

    2013-03-05T23:59:59.000Z

    optimization-based control systems on low cost embedded platforms. ..... Modern computing platforms must allow for a wide range of applications that operate on.

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

    E-Print Network [OSTI]

    2014-03-07T23:59:59.000Z

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

  19. Gas Network Optimization: A comparison of Piecewise Linear Models

    E-Print Network [OSTI]

    2014-06-22T23:59:59.000Z

    Gas network optimization manages the gas transport by minimizing operating costs and .... This problem represents the transportation process of natural gas. 79.

  20. Optimal SCR Control Using Data-Driven Models

    SciTech Connect (OSTI)

    Stevens, Andrew J.; Sun, Yannan; Lian, Jianming; Devarakonda, Maruthi N.; Parker, Gordon

    2013-04-16T23:59:59.000Z

    We present an optimal control solution for the urea injection for a heavy-duty diesel (HDD) selective catalytic reduction (SCR). The approach taken here is useful beyond SCR and could be applied to any system where a control strategy is desired and input-output data is available. For example, the strategy could also be used for the diesel oxidation catalyst (DOC) system. In this paper, we identify and validate a one-step ahead Kalman state-space estimator for downstream NOx using the bench reactor data of an SCR core sample. The test data was acquired using a 2010 Cummins 6.7L ISB production engine with a 2010 Cummins production aftertreatment system. We used a surrogate HDD federal test procedure (FTP), developed at Michigan Technological University (MTU), which simulates the representative transients of the standard FTP cycle, but has less engine speed/load points. The identified state-space model is then used to develop a tunable cost function that simultaneously minimizes NOx emissions and urea usage. The cost function is quadratic and univariate, thus the minimum can be computed analytically. We show the performance of the closed-loop controller in using a reduced-order discrete SCR simulator developed at MTU. Our experiments with the surrogate HDD-FTP data show that the strategy developed in this paper can be used to identify performance bounds for urea dose controllers.

  1. Continuously Optimized Reliable Energy (CORE) Microgrid: Models & Tools (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-07-01T23:59:59.000Z

    This brochure describes Continuously Optimized Reliable Energy (CORE), a trademarked process NREL employs to produce conceptual microgrid designs. This systems-based process enables designs to be optimized for economic value, energy surety, and sustainability. Capabilities NREL offers in support of microgrid design are explained.

  2. Boolean Modeling of Serotonin mediated Ca2+ Signaling pathway

    E-Print Network [OSTI]

    Albert, Réka

    for Boolean Modeling · 5-HTR* = Serotonin · PLC* = 5-HTR or DAG · cAMP* = 5-HTR · PKA* = cAMP · DAG* = PIP2 and (PLC or PLC) · PLC* = DAG · IP3 * = PIP2 and (PLC or PLC) · cGMP* = NO · cGMPK* = cGMP · PKC* = (PLC or PLC) and/or (Ca2+ or Ca2+ER) · TRPC3* = [(IP3R and PLC and CaM) and not HOMER] and Stathmin · HOMER

  3. Modeling and Optimization of a Bioethanol Production Facility 

    E-Print Network [OSTI]

    Gabriel, Kerron Jude

    2011-10-21T23:59:59.000Z

    is also designed to incorporate various biomass feedstocks as well as realistic maximum equipment sizing thereby ensuring pragmatism of the work. For this study, the criterion for optimization is minimum ethanol price. The secondary and more...

  4. Model-Based Hierarchical Optimal Control Design for HVAC Systems

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Pinto, Alessandro; Sangiovanni-Vincentelli, Alberto

    2014-01-01T23:59:59.000Z

    trol algorithm design for hvac systems in energy efficientH.R. Sualem. Building and HVAC System simulation with theOPTIMAL CONTROL DESIGN FOR HVAC SYSTEMS Mehdi Maasoumy,

  5. Kinetic modeling and automated optimization in microreactor systems

    E-Print Network [OSTI]

    Moore, Jason Stuart

    2013-01-01T23:59:59.000Z

    The optimization, kinetic investigation, or scale-up of a reaction often requires significant time and materials. Silicon microreactor systems have been shown advantageous for studying chemical reactions due to their small ...

  6. Oneida Tribe of Indians of Wisconsin Energy Optimization Model

    SciTech Connect (OSTI)

    Troge, Michael [Project Manager

    2014-12-30T23:59:59.000Z

    Oneida Nation is located in Northeast Wisconsin. The reservation is approximately 96 square miles (8 miles x 12 miles), or 65,000 acres. The greater Green Bay area is east and adjacent to the reservation. A county line roughly splits the reservation in half; the west half is in Outagamie County and the east half is in Brown County. Land use is predominantly agriculture on the west 2/3 and suburban on the east 1/3 of the reservation. Nearly 5,000 tribally enrolled members live in the reservation with a total population of about 21,000. Tribal ownership is scattered across the reservation and is about 23,000 acres. Currently, the Oneida Tribe of Indians of Wisconsin (OTIW) community members and facilities receive the vast majority of electrical and natural gas services from two of the largest investor-owned utilities in the state, WE Energies and Wisconsin Public Service. All urban and suburban buildings have access to natural gas. About 15% of the population and five Tribal facilities are in rural locations and therefore use propane as a primary heating fuel. Wood and oil are also used as primary or supplemental heat sources for a small percent of the population. Very few renewable energy systems, used to generate electricity and heat, have been installed on the Oneida Reservation. This project was an effort to develop a reasonable renewable energy portfolio that will help Oneida to provide a leadership role in developing a clean energy economy. The Energy Optimization Model (EOM) is an exploration of energy opportunities available to the Tribe and it is intended to provide a decision framework to allow the Tribe to make the wisest choices in energy investment with an organizational desire to establish a renewable portfolio standard (RPS).

  7. Cogeneration System Size Optimization Constant Capacity and Constant Demand Models

    E-Print Network [OSTI]

    Wong-Kcomt, J. B.; Turner, W. C.

    proposed to select a combined heat and power (CHP) or cogeneration system and to evaluate its optimal size. Here, "optimal" size means the nominal system size (in kW ) that minimizes the total e equivalent annual cost (TEAC) to own, operate... ratio (HPR l ). Thus, Canton et.al (2) have developed a graphical method to visualize different operating scenarios. Hay (3) and the AGA Manual (I) consider the following operation modes for a plant with variable CHP loads. Each operation mode...

  8. Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic Controlled Variable Selection

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control

  9. Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

  10. Integrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified Linear Models

    E-Print Network [OSTI]

    Van den Hof, Paul

    on dynamic real-time optimization (D- RTO) of waterflooding strategies in petroleum reservoirs haveIntegrated Dynamic Optimization and Control in Reservoir Engineering using Locally Identified, the used large-scale, nonlinear, physics-based reservoir models suffer from vast parametric uncertainty

  11. Using Evolution Strategy with Meta-models for Well Placement Optimization

    E-Print Network [OSTI]

    Bouzarkouna, Zyed; Auger, Anne

    2010-01-01T23:59:59.000Z

    Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in well productivity, well placement decision is an important issue in field development. Considering complex reservoir geology and high reservoir heterogeneities, stochastic optimization methods are the most suitable approaches for optimum well placement. This paper proposes an optimization methodology to determine optimal well location and trajectory based upon the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES) which is a variant of Evolution Strategies recognized as one of the most powerful derivative-free optimizers for continuous optimization. To improve the optimization procedure, two new techniques are investigated: (1). Adaptive penalization with rejection is developed to handle well placement constraints. (2). A meta-model, based on locally weighted regression, is incorporated into CMA-ES using an approximate ranking ...

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

    E-Print Network [OSTI]

    Yu, Guo

    2011-02-22T23:59:59.000Z

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

  13. Optimal motion planning with the half-car dynamical model for autonomous high-speed driving

    E-Print Network [OSTI]

    Jeon, Jeong hwan

    We discuss an implementation of the RRT* optimal motion planning algorithm for the half-car dynamical model to enable autonomous high-speed driving. To develop fast solutions of the associated local steering problem, we ...

  14. Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model

    E-Print Network [OSTI]

    Ruiz, D.; Ruiz, C.; Santollani, O.; Reitmeier, T.

    2010-01-01T23:59:59.000Z

    examples and results corresponding to the application of such systems to refineries will be discussed. In addition, the integration of CO2 emission costs and constraints into the online energy system models and their optimization is also explained....

  15. Optimization of a Chilled Water Plant Using a Forward Plant Model

    E-Print Network [OSTI]

    Zhang, Z.; Turner, W. D.; Chen, Q.; Xu, C.; Deng, S.

    2010-01-01T23:59:59.000Z

    This paper introduces a forward chilled water plant model to optimize the setpoints of continuous controlled variables in a chiller plant without storage and controlled by supervisory control. It can also be used to estimate the savings potential...

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

    E-Print Network [OSTI]

    Zhu, Yu

    2011-08-08T23:59:59.000Z

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

  17. A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no

    E-Print Network [OSTI]

    Adida, Elodie

    time optimal control model for studying a dynamic pricing and inventory control problem for a make-to-stock of not introducing any approximation to the real setting: it provides the exact solution of the system. When taking

  18. Design optimization and analysis of coated particle fuel using advanced fuel performance modeling techniques

    E-Print Network [OSTI]

    Soontrapa, Chaiyod

    2005-01-01T23:59:59.000Z

    Modifying material properties provides another approach to optimize coated particle fuel used in pebble bed reactors. In this study, the MIT fuel performance model (TIMCOAT) was applied after benchmarking against the ...

  19. Thermodynamic modeling and optimization of a screw compressor chiller and cooling tower system

    E-Print Network [OSTI]

    Graves, Rhett David

    2004-09-30T23:59:59.000Z

    THERMODYNAMIC MODELING AND OPTIMIZATION OF A SCREW COMPRESSOR CHILLER AND COOLING TOWER SYSTEM A Thesis by RHETT DAVID GRAVES Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2003 Major Subject: Mechanical Engineering THERMODYNAMIC MODELING AND OPTIMIZATION OF A SCREW COMPRESSOR CHILLER AND COOLING TOWER SYSTEM A Thesis by RHETT DAVID GRAVES Submitted to Texas A&M University in partial...

  20. Oracle-Based Optimization Applied to Climate Model Calibration

    E-Print Network [OSTI]

    Beltran-Royo, Cesar

    and earth system modelling since even so-called intermediate complexity models, such as the one used

  1. AM 121: Intro to Optimization Models and Methods

    E-Print Network [OSTI]

    Chen, Yiling

    s and dual surplus var's · If there is slack in the primal resource constraint, then dual ( shadow price ) should be zero · If the shadow price is non-zero, then there must be scarce resources (no slack in primal: Complementary Slackness Lesson Plan · Complementary slackness · A compatibility requirement between an optimal

  2. Modeling, Optimization and Economic Evaluation of Residual Biomass Gasification

    E-Print Network [OSTI]

    Georgeson, Adam

    2012-02-14T23:59:59.000Z

    . .............................................................................. 7 Table 2. Components Used in Simulation. ...................................................................... 20 Table 3. Composition of Biomass Feedstock to Biorefinery. ......................................... 43 Table 4. Operating... for optimizing gasification plant design from an economic perspective. Specifically, the problem addressed in this work is stated as follows: Given are: ? A set of biomass feedstocks {i|i = 1,2,?,I } which includes fresh as well as residue biomass ? A set...

  3. Logic-based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Logic-based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems Sangbum the authors have extensively investigated over the last few years. Solution strategies for GDP models. We first present a brief review of MILP and MINLP for the case when these problems are modeled

  4. Development and Control of Autonomous, Biped Locomotion using Efficient Modeling, Simulation, and Optimization Techniques

    E-Print Network [OSTI]

    Stryk, Oskar von

    of joint reference trajectories for implementing first steps, the development of nonlinear dynamics model-basedDevelopment and Control of Autonomous, Biped Locomotion using Efficient Modeling, Simulation from simulations and gait optimizations completed during its development using a 3D dynamic biped model

  5. Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant

    E-Print Network [OSTI]

    Kusiak, Andrew

    ; Energy consumption; Data collection; Neural networks; Dynamic models; Statics; Water treatment plants. Author keywords: Wastewater pump models; Energy consumption; Pump energy; Data mining; Head influenceModels for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant Zijun Zhang

  6. Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring

    E-Print Network [OSTI]

    Ryan, Sarah M.

    1 Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi-Markov process, threshold replacement policy, sensitivity analysis SUMMARY This paper deals with the optimal

  7. Optimal control of drug delivery to brain tumors for a PDE driven model using the Galerkin finite element method

    E-Print Network [OSTI]

    Hanson, Floyd B.

    Optimal control of drug delivery to brain tumors for a PDE driven model using the Galerkin finite is used to examine the optimal drug delivery to brain tumors. The PDE driven mathematical model and the drug concentration. An optimal control problem is formulated keeping in mind the primary goals

  8. Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in Proteins

    E-Print Network [OSTI]

    Meirovitch, Hagai

    Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in ProteinsVed: October 10, 2005; In Final Form: December 1, 2005 Implicit solvation models are commonly optimized the force field is sometimes not considered. In previous studies, we have developed an optimization

  9. Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density

    E-Print Network [OSTI]

    Subramanian, Venkat

    of energy density. optimization of design parameters. such as implantable cardiovascular defibrillators (ICDs) to high power/high energy applications such as hybrid carsModel-based simultaneous optimization of multiple design parameters for lithium-ion batteries

  10. Optimization Online - A Non-Parametric Structural Hybrid Modeling ...

    E-Print Network [OSTI]

    Somayeh Moazeni

    2014-06-30T23:59:59.000Z

    Jun 30, 2014 ... A Non-Parametric Structural Hybrid Modeling Approach for Electricity Prices ... Keywords: Electricity market; Electricity price modeling; Energy ...

  11. Empirical Performance Model-Driven Data Layout Optimization and Library Call Selection for Tensor Contraction Expressions

    SciTech Connect (OSTI)

    Lu, Qingda; Gao, Xiaoyang; Krishnamoorthy, Sriram; Baumgartner, Gerald; Ramanujam, J.; Sadayappan, Ponnuswamy

    2012-03-01T23:59:59.000Z

    Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of loop unrolling is determined by executing different versions of the computation. In contrast, optimizing compilers use a model-driven approach to program transformation. While the model-driven approach of optimizing compilers is generally orders of magnitude faster than ATLAS-like library generators, its effectiveness can be limited by the accuracy of the performance models used. In this paper, we describe an approach where a class of computations is modeled in terms of constituent operations that are empirically measured, thereby allowing modeling of the overall execution time. The performance model with empirically determined cost components is used to perform data layout optimization together with the selection of library calls and layout transformations in the context of the Tensor Contraction Engine, a compiler for a high-level domain-specific language for expressing computational models in quantum chemistry. The effectiveness of the approach is demonstrated through experimental measurements on representative computations from quantum chemistry.

  12. Mathematical Modeling for CostMathematical Modeling for Cost Optimization of PV RecyclingOptimization of PV Recycling

    E-Print Network [OSTI]

    Fthenakis National Photovoltaics Environmental Research CenterNational Photovoltaics Environmental Research service costs (labor, contract fees) Transportation costs (fuel cost, mpg, truck size) Maximum capacity) System optimal cost ($K) >586 563 - 586 360 - 563 216 - 360 178 - 216 56 -178 R16 586 1529 2115 R13+R15

  13. THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO THE OPTIMIZATION OF A MESOSCALE METEOROLOGICAL MODEL

    SciTech Connect (OSTI)

    Werth, D.; O'Steen, L.

    2008-02-11T23:59:59.000Z

    We show that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root mean square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). We find that the optimization can be efficient with relatively modest computer resources, thus operational implementation is possible. The optimization efficiency, however, is found to depend strongly on the procedure used to perturb the 'child' parameters relative to their 'parents' within the evolutionary algorithm. In addition, the meteorological variables included in the rms error and their weighting are found to be an important factor with respect to finding the global optimum.

  14. Optimal Harvesting in an Age-Structured Predator-Prey Model

    SciTech Connect (OSTI)

    Fister, K. Renee [Department of Mathematics and Statistics, Murray State University, Murray, KY 42071-3341 (United States)], E-mail: renee.fister@murraystate.edu; Lenhart, Suzanne [Department of Mathematics, University of Tennessee, Knoxville, TN 37996-1300 (United States) and Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6016 (United States)], E-mail: lenhart@math.utk.edu

    2006-06-15T23:59:59.000Z

    We investigate optimal harvesting control in a predator-prey model in which the prey population is represented by a first-order partial differential equation with age-structure and the predator population is represented by an ordinary differential equation in time. The controls are the proportions of the populations to be harvested, and the objective functional represents the profit from harvesting. The existence and uniqueness of the optimal control pair are established.

  15. An Optimal Path Model for the Risk-Averse Traveler

    E-Print Network [OSTI]

    Leilei Zhang

    2014-06-11T23:59:59.000Z

    Jun 11, 2014 ... The model is suitable for a risk-averse traveler, who prefers a path with ... Citation

  16. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of ShadowÐWe present an original statistical classification method using a deformable template model to separate transformations, to take into account the shape variability. Then, the classification problem is defined as a two

  17. An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model

    E-Print Network [OSTI]

    Aluffi, Paolo

    An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model Zhendong Luoa) for the tropical Pacific Ocean reduced gravity model. Ensembles of data are compiled from transient solutions computed from the discrete equation system derived by FDS for the tropical Pacific Ocean reduced gravity

  18. A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis Nancy of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety aims at providing a more elaborate analysis of risk sources by considering a complete quantitative risk

  19. PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral Process Design for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    in Asia. Asia will have a strong impact on the global trends in key metals consumption Takashi NishiyamaPASI 2011 PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral;Balance between global consumption and the available production Motivation PSE at CICITEM Models

  20. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012Bordeaux -France

    E-Print Network [OSTI]

    Boyer, Edmond

    with a different approach. KEYWORDS: artificial neural networks inversion; inverse problems; groundwater modeling; groundwater pollution source identification. 1 INTRODUCTION Only a small percentage of water present on Earth9th International Conference of Modeling, Optimization and Simulation - MOSIM'12 June 06-08, 2012

  1. Green Petroleum Refining -Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints

    E-Print Network [OSTI]

    Anderson, Charles H.

    Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission understand that my thesis may be made electronically available to the public. #12;iii Abstract Petroleum and treating options for petroleum refinery waste streams. The performance of the developed model

  2. An Optimization Model for Plug-In Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Malikopoulos, Andreas [ORNL] [ORNL; Smith, David E [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    The necessity for environmentally conscious vehicle designs in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change have induced significant investment towards enhancing the propulsion portfolio with new technologies. More recently, plug-in hybrid electric vehicles (PHEVs) have held great intuitive appeal and have attracted considerable attention. PHEVs have the potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the commercial transportation sector. They are especially appealing in situations where daily commuting is within a small amount of miles with excessive stop-and-go driving. The research effort outlined in this paper aims to investigate the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium-duty PHEV. An optimization framework is developed and applied to two different parallel powertrain configurations, e.g., pre-transmission and post-transmission, to derive the optimal design with respect to motor/generator and battery size. A comparison between the conventional and PHEV configurations with equivalent size and performance under the same driving conditions is conducted, thus allowing an assessment of the fuel economy and GHG emissions potential improvement. The post-transmission parallel configuration yields higher fuel economy and less GHG emissions compared to pre-transmission configuration partly attributable to the enhanced regenerative braking efficiency.

  3. Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control

    E-Print Network [OSTI]

    Mittelmann, Hans D.

    is shown by applying it to a case study involving composition control of a binary distillation column. I is demonstrated in a binary high-purity distillation column case study by Weischedel and McAvoy [7], a demandingOptimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model

  4. Simulation Models to Optimize the Energy Consumption of Buildings

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    of building simulation important parameters are the occupancy and the control parameters. For a simple zone model the simple hourly method (SHM) according to ISO 13790 is used. This zone model is based on a five resistances and one capacitance (5R1C...) model (Figure 5). Figure 5. Five resistances, one capacitance (5R1C) model [ISO 13790:2007, p. 29] According to ISO 13790 the intention of the simple hourly method is to have a transparent, reproducible and robust model with a limited...

  5. Optimization of large-scale heterogeneous system-of-systems models.

    SciTech Connect (OSTI)

    Parekh, Ojas; Watson, Jean-Paul; Phillips, Cynthia Ann; Siirola, John; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Lee, Herbert K. H. (University of California, Santa Cruz, Santa Cruz, CA); Hart, William Eugene; Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA); Woodruff, David L. (University of California, Davis, Davis, CA)

    2012-01-01T23:59:59.000Z

    Decision makers increasingly rely on large-scale computational models to simulate and analyze complex man-made systems. For example, computational models of national infrastructures are being used to inform government policy, assess economic and national security risks, evaluate infrastructure interdependencies, and plan for the growth and evolution of infrastructure capabilities. A major challenge for decision makers is the analysis of national-scale models that are composed of interacting systems: effective integration of system models is difficult, there are many parameters to analyze in these systems, and fundamental modeling uncertainties complicate analysis. This project is developing optimization methods to effectively represent and analyze large-scale heterogeneous system of systems (HSoS) models, which have emerged as a promising approach for describing such complex man-made systems. These optimization methods enable decision makers to predict future system behavior, manage system risk, assess tradeoffs between system criteria, and identify critical modeling uncertainties.

  6. HOMER | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms A SUKHydrogenGuascor GeratecGyeongnamHMH

  7. Modeling for deformable mirrors and the adaptive optics optimization program

    SciTech Connect (OSTI)

    Henesian, M.A.; Haney, S.W.; Trenholme, J.B. [Lawrence Livermore National Lab., CA (United States); Thomas, M. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Plasma Fusion Center

    1997-03-18T23:59:59.000Z

    We discuss aspects of adaptive optics optimization for large fusion laser systems such as the 192-arm National Ignition Facility (NIF) at LLNL. By way of example, we considered the discrete actuator deformable mirror and Hartmann sensor system used on the Beamlet laser. Beamlet is a single-aperture prototype of the 11-0-5 slab amplifier design for NIF, and so we expect similar optical distortion levels and deformable mirror correction requirements. We are now in the process of developing a numerically efficient object oriented C++ language implementation of our adaptive optics and wavefront sensor code, but this code is not yet operational. Results are based instead on the prototype algorithms, coded-up in an interpreted array processing computer language.

  8. Sparse optimization for inverse problems in atmospheric modelling

    E-Print Network [OSTI]

    2015-04-13T23:59:59.000Z

    Apr 13, 2015 ... In S.-E. Gryning and F. Schiermeier, editors, Air Pollution Modeling and Its Application. XI, volume 21 of NATO Challenges of Modern Society, ...

  9. Optimization Online - An inventory model with shortages for ...

    E-Print Network [OSTI]

    A Mukhopadhyay

    2014-04-02T23:59:59.000Z

    Apr 2, 2014 ... Abstract: Inventory models with imperfect quality items are studied by researchers in past two decades. Till now none of them have considered ...

  10. Optimal Execution Under Jump Models For Uncertain Price Impact

    E-Print Network [OSTI]

    2012-08-13T23:59:59.000Z

    May 12, 2011 ... Unfortunately current quantitative analysis of the execution cost ... Thus risk assessment under this model, particularly the tail risk, is likely to be ...

  11. Optimization Online - Using EPECs to model bilevel games in ...

    E-Print Network [OSTI]

    Xinmin Hu

    2006-01-05T23:59:59.000Z

    Jan 5, 2006 ... Abstract: We study a bilevel noncooperative game-theoretic model of restructured electricity markets, with locational marginal prices.

  12. Optimization Online - A Structure-Conveying Modelling Language ...

    E-Print Network [OSTI]

    Marco Colombo

    2009-03-24T23:59:59.000Z

    Mar 24, 2009 ... A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming. Marco Colombo (m.colombo ***at*** ed.ac.uk)

  13. Optimization Online - PSMG-A Parallel Structured Model Generator ...

    E-Print Network [OSTI]

    Feng Qiang

    2014-10-10T23:59:59.000Z

    Oct 10, 2014 ... As far as we are aware, PSMG is the first processor for an algebraic modelling language that is capable of generating the problem in parallel.

  14. Accounting for the effects of rehabilitation actions on the reliability of flexible pavements: performance modeling and optimization

    E-Print Network [OSTI]

    Deshpande, Vighnesh Prakash

    2009-05-15T23:59:59.000Z

    A performance model and a reliability-based optimization model for flexible pavements that accounts for the effects of rehabilitation actions are developed. The developed performance model can be effectively implemented in all the applications...

  15. IRRIGATION OPTIMIZATION BY MODELING OF PLANT-SOIL INTERACTION

    E-Print Network [OSTI]

    Boyer, Edmond

    - action model is used to simulate the structural-functional plant growth conditioned by water status approach of dynamic programming is used. KEY WORDS Irrigation scheduling, plant-soil model, water stress]). In the coupling approach, we simulate the soil water balance by PILOTE to get the water stress index. Plant

  16. Optimizing Mobile Application Performance with ModelDriven Engineering

    E-Print Network [OSTI]

    Schmidt, Douglas C.

    describes current research in developing an MDE tool for modeling mobile software architectures and using the following contributions to the study of mobile software development: (1) it shows how models of a mobile it difficult to test power consumption and performance until late in the software lifecycle [14], e.g., during

  17. Optimization of carbon capture systems using surrogate models of simulated processes.

    SciTech Connect (OSTI)

    Cozad, A.; Chang, Y.; Sahinidis, N.; Miller, D.

    2011-01-01T23:59:59.000Z

    With increasing demand placed on power generation plants to reduce carbon dioxide (CO2) emissions, processes to separate and capture CO2 for eventual sequestration are highly sought after. Carbon capture processes impart a parasitic load on the power plants; it is estimated that this would increase the cost of electricity from existing pulverized coal plants anywhere from 71-85 percent [1]. The National Energy and Technology Lab (NETL) is working to lower this to below a 30 percent increase. To reach this goal, work is being done not only to accurately simulate these processes, but also to leverage those accurate and detailed simulations to design optimal carbon capture processes. The major challenges include the lack of accurate algebraic models of the processes, computationally costly simulations, and insufficiently robust simulations. The first challenge bars the use of provable derivative-based optimization algorithms. The latter two can either lead to difficult or impossible direct derivative-free optimization. To overcome these difficulties, we take a more indirect method to solving this problem by, first, generating an accurate set of algebraic surrogate models from the simulation then using derivative-based solvers to optimize the surrogate models. We developed a method that uses derivative-based and derivative-free optimization alongside machine learning and statistical techniques to generate the set of low-complexity surrogate models using data sampled from detailed simulations. The models are validated and improved through the use of derivative-free solvers to adaptively sample new simulation points. The resulting surrogate models can then be used in a superstructure-based process synthesis and solved using derivative-based methods to optimize carbon capture processes.

  18. Hybrid Model for Building Performance Diagnosis and Optimal Control

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    simulation model is based on first principles, either a detailed first principles model, such as EnergyPlus (Crawley and Drury 2000), DOE-2 (Ed Kidd et al. 2001), or a simplified first principles model, such as AIRMODEL (Giebler et al. 1998) which....D. (1999). Whole building diagnostics. http://poet.lbl.gov/diagworkshop/proceedings Crawley, Drury B. (2000). EnergyPlus: energy simulation program; ASHRAE Journal Apr 2000; Vol. 42(4):49-56. Davis L. (1991). Handbook of genetic algorithms. New...

  19. Constraining climate model properties using optimal fingerprint detection methods

    E-Print Network [OSTI]

    Forest, Chris Eliot.; Allen, Myles R.; Sokolov, Andrei P.; Stone, Peter H.

    We present a method for constraining key properties of the climate system that are important for climate prediction (climate sensitivity and rate of heat penetration into the deep ocean) by comparing a model's response to ...

  20. Hybrid fuzzy and optimal modeling for water quality evaluation

    E-Print Network [OSTI]

    Wang, Dong; Singh, Vijay P.; Zhu, Yuansheng

    2007-05-08T23:59:59.000Z

    Water quality evaluation entails both randomness and fuzziness. Two hybrid models are developed, based on the principle of maximum entropy (POME) and engineering fuzzy set theory (EFST). Generalized weighted distances are defined for considering...

  1. Recent developments in DYNSUB: New models, code optimization and parallelization

    SciTech Connect (OSTI)

    Daeubler, M.; Trost, N.; Jimenez, J.; Sanchez, V. [Karlsruhe Institute of Technology, Institute for Neutron Physics and Reactor Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen (Germany)

    2013-07-01T23:59:59.000Z

    DYNSUB is a high-fidelity coupled code system consisting of the reactor simulator DYN3D and the sub-channel code SUBCHANFLOW. It describes nuclear reactor core behavior with pin-by-pin resolution for both steady-state and transient scenarios. In the course of the coupled code system's active development, super-homogenization (SPH) and generalized equivalence theory (GET) discontinuity factors may be computed with and employed in DYNSUB to compensate pin level homogenization errors. Because of the largely increased numerical problem size for pin-by-pin simulations, DYNSUB has bene fitted from HPC techniques to improve its numerical performance. DYNSUB's coupling scheme has been structurally revised. Computational bottlenecks have been identified and parallelized for shared memory systems using OpenMP. Comparing the elapsed time for simulating a PWR core with one-eighth symmetry under hot zero power conditions applying the original and the optimized DYNSUB using 8 cores, overall speed up factors greater than 10 have been observed. The corresponding reduction in execution time enables a routine application of DYNSUB to study pin level safety parameters for engineering sized cases in a scientific environment. (authors)

  2. Multi-objective optimization of an ecological assembly model

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    that the invasive species have on the community are the extinction of invasive species with or without sec- ondary assembly models, species are introduced from a pool of species according to a sequence of invasion species pools the MOEAs were able to generate communi- ties of different expected connectances

  3. Modeling and Optimal Regulation of Erythropoiesis Subject to Benzene Intoxication

    E-Print Network [OSTI]

    humans and laboratory animals [11, 16]. Increased incidence of acute myelogenous leukemia in humans obtained in vitro [5, 6]. Since in vitro metabolic parameters are also available for humans, the model could then be extrapolated to humans for risk assessment. Since benzene is a known human leukemogen

  4. Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory

    E-Print Network [OSTI]

    Cicirello, Vincent A.

    such as heuristic-biased stochastic sam- pling (HBSS) and value-biased stochastic sampling (VBSS), whereinHeuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value@cs.cmu.edu Abstract. The success of stochastic algorithms is often due to their ability to effectively amplify

  5. Recent developments in model-based optimization and control of subsurface flow

    E-Print Network [OSTI]

    Van den Hof, Paul

    ; identifiability; model reduction. 1. INTRODUCTION The production of oil and gas from petroleum reservoirs the pores of subsurface rock lay- ers. The production life of a petroleum reservoir generally lasts a number configurations and production strategies, but an emerging use is in the 'real-time' optimization and control

  6. Keller's model Variable energy recreation Bounding the derivative of f Optimization of running strategies based on

    E-Print Network [OSTI]

    Boyer, Edmond

    strategies based on anaerobic energy and variations of velocity J. Fr´ed´eric Bonnans Inria-Saclay and CMAP of running strategies hal-01024231,version1-15Jul2014 #12;Keller's model Variable energy recreation Bounding.F. Bonnans, Optimization of running strategies based on anaerobic energy and variations of velocity. SIAM J

  7. Modeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey Brin

    E-Print Network [OSTI]

    Wu, Xindong

    Engines April 15, 2009 7 / 57 #12;Introduction - Section II - Outline Terms and Definitions Brief Search' or displayed back to the user in hypertextual format. mek (UVM) Search Engines April 15, 2009 9 / 57 #12;TermsModeling and Optimizing Hypertextual Search Engines Based on the Reasearch of Larry Page and Sergey

  8. Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding H. DE VRIES

    E-Print Network [OSTI]

    de Vries, Hylke

    Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding H. DE VRIES Institute August 2004) ABSTRACT Using a nonmodal decomposition technique based on the potential vorticity (PV, such that the initial surface potential temperature (PT) is zero. These nonmodal structures are used as PV building

  9. IEEE/ASME TRANSACTIONS ON MECHATRONICS-.-1 Modeling and optimal force control of a nonlinear

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    IEEE/ASME TRANSACTIONS ON MECHATRONICS-.- 1 Modeling and optimal force control of a nonlinear analysis, Kalman filtering, LQG force control, Micro-glass balls manipulation. I. INTRODUCTION Designing and controlling systems able to perform dexter- ous manipulation tasks on small components (i.e. between 1µm and 1

  10. Toward Optimized Bioclogging and Biocementation Through Combining Advanced Geophysical Monitoring and Reactive Transport Modeling

    E-Print Network [OSTI]

    Hubbard, Susan

    and electrical techniques); (ii) developing and using a reactive transport simulator capable of predicting and Reactive Transport Modeling Approaches Christopher G Hubbard1 , Susan S. Hubbard1 , Yuxin Wu1 , Vikranth heterogeneities at the field scale. Optimization of these strategies requires advances in mechanistic reactive

  11. Stochastic Modeling of a Power-Managed System: Construction and Optimization

    E-Print Network [OSTI]

    Qiu, Qinru

    Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management

  12. Stochastic Modeling of a Power-Managed System: Construction and Optimization

    E-Print Network [OSTI]

    Pedram, Massoud

    1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management

  13. 1 P A P E R 2 Design, Modeling and Optimization of an

    E-Print Network [OSTI]

    Qu, Zhihua

    1 P A P E R 2 Design, Modeling and Optimization of an 3 Ocean Wave Power Generation Buoy 4 A U T H source of energy. Exist- 44 ing systems, typically hydraulic turbines powered by high-pressure fluids, are very 45 large in size and costly. Additionally, they require large ocean waves in which to op- 46 erate

  14. Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

    E-Print Network [OSTI]

    Gitelson, Anatoly

    Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information squares regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT

  15. Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling

    E-Print Network [OSTI]

    Gitelson, Anatoly

    Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative for Sciences, 260 Panama Street, Stanford, CA 94305, USA d Center for Advanced Land Management Information regression We used synthetic reflectance spectra generated by a radiative transfer model, PROSPECT-5

  16. Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles

    E-Print Network [OSTI]

    Victoria, University of

    Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair electric vehicles, empirical fuel cell system data has been incorporated into the NREL's vehicle design and simulation tool, ADVISOR (ADvanced Vehicle SimulatOR), to predict the performance of a low-speed, fuel cell

  17. Finding best practices for automotive glazing recycling: a network optimization model

    E-Print Network [OSTI]

    Boyer, Edmond

    : a network optimization model," Journal of Cleaner Production, vol. Xx, 2013 DOI : 10.1016/J.JCLEPRO.2013.02.022 hal-00796046,version1-1Mar2013 Author manuscript, published in "Journal of Cleaner Production (2013 for transport glazing from store s to treatment unit r Unit cost for treatment in unit r Production coefficient

  18. THE USE OF HYDRAULIC MODELS TO OPTIMIZE THE REHABILITATION OF AN OPEN CHANNEL IRRIGATION SYSTEM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    THE USE OF HYDRAULIC MODELS TO OPTIMIZE THE REHABILITATION OF AN OPEN CHANNEL IRRIGATION SYSTEM of irrigation, as well as the type of control used for managing the system and has led to the use factors like diurnal irrigation or the significant storage capacity of the system, and would lead

  19. Modeling and Optimization of Next Generation Feedstock Development for Chemical Process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Modeling and Optimization of Next Generation Feedstock Development for Chemical Process Industry -Glutamic acid Anaerobic digestion mass Cellulose Biogas Bio oil Gasoline Diesel Butanol Dimethyl ether,Oil Polyol Biodiesel Glycerin Naphtha and Diesel Liquefaction / d h l Thermo chemical Protein Protein

  20. Power system analysis project Modeling and Sizing optimization of Stand-alone

    E-Print Network [OSTI]

    Lavaei, Javad

    Power system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic in examining the possibility to create a reliable stand-alone hybrid generation system composed of photovoltaic/wind-generator systems zhixing zhang 2013/5/30 Explore the possibility for supplying electricity using solar/wind hybrid

  1. Optimization and theoretical modeling of polymer microlens arrays fabricated with the hydrophobic effect

    E-Print Network [OSTI]

    Esener, Sadik C.

    - fied that will allow lens arrays to be constructed at low cost. In addition, these arrays mustOptimization and theoretical modeling of polymer microlens arrays fabricated with the hydrophobic were fabricated by means of withdrawing substrates of patterned wettability from a monomer solution

  2. Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines

    E-Print Network [OSTI]

    Pedersen, Tom

    Turbines by Michael Robert Shives B.Eng., Carleton University, 2008 A Dissertation Submitted in Partial Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines) #12;iii ABSTRACT This thesis examines methods for designing and analyzing kinetic turbines based

  3. Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines

    E-Print Network [OSTI]

    Victoria, University of

    Turbines by Michael Robert Shives B.Eng., Carleton University, 2008 A Thesis Submitted in Partial Hydrodynamic Modeling, Optimization and Performance Assessment for Ducted and Non-ducted Tidal Turbines examines methods for designing and analyzing kinetic turbines based on blade element momentum (BEM) theory

  4. Models, Calculation and Optimization of Gas Networks, Equipment and Contracts for Design, Operation, Booking and Accounting

    E-Print Network [OSTI]

    Ostromuhov, Leonid A

    2011-01-01T23:59:59.000Z

    There are proposed models of contracts, technological equipment and gas networks and methods of their optimization. The flow in network undergoes restrictions of contracts and equipment to be operated. The values of sources and sinks are provided by contracts. The contract models represent (sub-) networks. The simplest contracts represent either nodes or edges. Equipment is modeled by edges. More sophisticated equipment is represented by sub-networks. Examples of such equipment are multi-poles and compressor stations with many entries and exits. The edges can be of different types corresponding to equipment and contracts. On such edges, there are given systems of equation and inequalities simulating the contracts and equipment. On this base, the methods proposed that allow: calculation and control of contract values for booking on future days and for accounting of sales and purchases; simulation and optimization of design and of operation of gas networks. These models and methods are realized in software syst...

  5. On the Single-Zone Modeling for Optimal Climate Control of a Real-Sized Livestock Stable System

    E-Print Network [OSTI]

    Yang, Zhenyu

    climate control systems. A typical modern stable system is usually equipped with a hybrid ventilation [3On the Single-Zone Modeling for Optimal Climate Control of a Real-Sized Livestock Stable System and implementation of a model-based optimal indoor climate control for a real-sized livestock stable system

  6. A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu

    E-Print Network [OSTI]

    Xu , Huan

    A Simple Optimal Power Flow Model with Energy Storage K. Mani Chandy, Steven H. Low, Ufuk Topcu and Huan Xu Abstract-- The integration of renewable energy generation, such as wind power how storage allows optimization of power generation across multiple time periods. The model

  7. Model-Based Transient Calibration Optimization for Next Generation Diesel

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311,OfficialProducts | Department of| DepartmentModelEnergyEngines

  8. MOGO: Model-Oriented Global Optimization of Petascale Applications

    SciTech Connect (OSTI)

    Malony, Allen D.; Shende, Sameer S.

    2012-09-14T23:59:59.000Z

    The MOGO project was initiated under in 2008 under the DOE Program Announcement for Software Development Tools for Improved Ease-of-Use on Petascale systems (LAB 08-19). The MOGO team consisted of Oak Ridge National Lab, Argonne National Lab, and the University of Oregon. The overall goal of MOGO was to attack petascale performance analysis by developing a general framework where empirical performance data could be efficiently and accurately compared with performance expectations at various levels of abstraction. This information could then be used to automatically identify and remediate performance problems. MOGO was be based on performance models derived from application knowledge, performance experiments, and symbolic analysis. MOGO was able to make reasonable impact on existing DOE applications and systems. New tools and techniques were developed, which, in turn, were used on important DOE applications on DOE LCF systems to show significant performance improvements.

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  10. Parametric Studies and Optimization of Eddy Current Techniques through Computer Modeling

    SciTech Connect (OSTI)

    Todorov, E. I. [EWI, Engineering and NDE, 1250 Arthur E. Adams Dr., Columbus, OH 43221-3585 (United States)

    2007-03-21T23:59:59.000Z

    The paper demonstrates the use of computer models for parametric studies and optimization of surface and subsurface eddy current techniques. The study with high-frequency probe investigates the effect of eddy current frequency and probe shape on the detectability of flaws in the steel substrate. The low-frequency sliding probe study addresses the effect of conductivity between the fastener and the hole, frequency and coil separation distance on detectability of flaws in subsurface layers.

  11. Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings

    E-Print Network [OSTI]

    Stack, P.; Cahill, B.; Manzoor, F.; Menzel, K.

    2011-01-01T23:59:59.000Z

    University College Cork (Ireland) Department of Civil and Environmental Engineering Data Warehouse Model to support Optimized Operation and Energy Savings in Buildings Paul Stack, Brian Cahill, Farhan Manzoor, Prof. Karsten Menzel 20... October 2011 page 1ICEBO 2011 Session 10 - Brian Cahill University College Cork (Ireland) Department of Civil and Environmental Engineering ICT for Optimised Building Operation (ITOBO) 20 October 2011 ICEBO 2011 Session 10 - Brian Cahill page 2...

  12. Optimizing Higher-Order Lagrangian Perturbation Theory for Standard CDM and BSI models

    E-Print Network [OSTI]

    Arno G. Weiss; Stefan Gottloeber; Thomas Buchert

    1995-05-24T23:59:59.000Z

    We investigate the performance of Lagrangian perturbation theory up to the second order for two scenarios of cosmological large-scale structure formation, SCDM (standard cold dark matter) and BSI (broken scale invariance). The latter model we study as a representative of COBE-normalized CDM models which fit the small-scale power of galaxy surveys. In this context we optimize the performance of the Lagrangian perturbation schemes by smoothing the small-scale fluctuations in the initial data. The results of the so obtained Lagrangian mappings are computed for a set of COBE-normalized SCDM and BSI initial data of different sizes and at different times. We compare these results against those obtained with a numerical PM-code. We find an excellent performance of the optimized Lagrangian schemes down to scales close to the correlation length. This is explained by the counterintuitive fact that nonlinearities in the model can produce more small-scale power, if initially such power is removed. The optimization scheme can be expressed in a way which is independent of the type of fluctuation spectrum and of the size of the simulations.

  13. Fast Protein Folding in the Hydrophobic-hydrophilic Model Within Three-eights of Optimal (Extended Abstract)

    E-Print Network [OSTI]

    Istrail, Sorin

    Fast Protein Folding in the Hydrophobic-hydrophilic Model Within Three-eights of Optimal (Extended for the protein folding problem in the hydrophobic- hydrophilic model, Dill (1985). To our knowledge, our al for this model, Dill (1994). The hydrophobic-hydrophilic model abstracts the dominant force of protein folding

  14. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    SciTech Connect (OSTI)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31T23:59:59.000Z

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the “size” of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

  15. E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems

    E-Print Network [OSTI]

    Lively, Charles

    2012-07-16T23:59:59.000Z

    Hybrid (MPI/OpenMP) and MPI implementations for six scientific applications. E-AMOM includes an optimization component that utilizes our models to employ run-time Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Concurrency Throttling to reduce...

  16. Optimization Online Digest -- February 2015

    E-Print Network [OSTI]

    Computational Optimization of Gas Compressor Stations: MINLP Models vs. ... The Cyclic Block Conditional Gradient Method for Convex Optimization Problems

  17. Development of an entrained flow gasifier model for process optimization study

    SciTech Connect (OSTI)

    Biagini, E.; Bardi, A.; Pannocchia, G.; Tognotti, L. [Consorzio Pisa Ric, Pisa (Italy). Div Energia Ambiente

    2009-10-15T23:59:59.000Z

    Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. Different technologies (fixed beds, fluidized beds, entrained flow reactors) are used, operating under different conditions of temperature, pressure, and residence time. Process studies should be performed for defining the best plant configurations and operating conditions. Although 'gasification models' can be found in the literature simulating equilibrium reactors, a more detailed approach is required for process analysis and optimization procedures. In this work, a gasifier model is developed by using AspenPlus as a tool to be implemented in a comprehensive process model for the production of hydrogen via coal gasification. It is developed as a multizonal model by interconnecting each step of gasification (preheating, devolatilization, combustion, gasification, quench) according to the reactor configuration, that is in entrained flow reactor. The model removes the hypothesis of equilibrium by introducing the kinetics of all steps and solves the heat balance by relating the gasification temperature to the operating conditions. The model allows to predict the syngas composition as well as quantity the heat recovery (for calculating the plant efficiency), 'byproducts', and residual char. Finally, in view of future works, the development of a 'gasifier model' instead of a 'gasification model' will allow different reactor configurations to be compared.

  18. A Technical Review on Biomass Processing: Densification, Preprocessing, Modeling and Optimization

    SciTech Connect (OSTI)

    Jaya Shankar Tumuluru; Christopher T. Wright

    2010-06-01T23:59:59.000Z

    It is now a well-acclaimed fact that burning fossil fuels and deforestation are major contributors to climate change. Biomass from plants can serve as an alternative renewable and carbon-neutral raw material for the production of bioenergy. Low densities of 40–60 kg/m3 for lignocellulosic and 200–400 kg/m3 for woody biomass limits their application for energy purposes. Prior to use in energy applications these materials need to be densified. The densified biomass can have bulk densities over 10 times the raw material helping to significantly reduce technical limitations associated with storage, loading and transportation. Pelleting, briquetting, or extrusion processing are commonly used methods for densification. The aim of the present research is to develop a comprehensive review of biomass processing that includes densification, preprocessing, modeling and optimization. The specific objective include carrying out a technical review on (a) mechanisms of particle bonding during densification; (b) methods of densification including extrusion, briquetting, pelleting, and agglomeration; (c) effects of process and feedstock variables and biomass biochemical composition on the densification (d) effects of preprocessing such as grinding, preheating, steam explosion, and torrefaction on biomass quality and binding characteristics; (e) models for understanding the compression characteristics; and (f) procedures for response surface modeling and optimization.

  19. Computational method and system for modeling, analyzing, and optimizing DNA amplification and synthesis

    DOE Patents [OSTI]

    Vandersall, Jennifer A.; Gardner, Shea N.; Clague, David S.

    2010-05-04T23:59:59.000Z

    A computational method and computer-based system of modeling DNA synthesis for the design and interpretation of PCR amplification, parallel DNA synthesis, and microarray chip analysis. The method and system include modules that address the bioinformatics, kinetics, and thermodynamics of DNA amplification and synthesis. Specifically, the steps of DNA selection, as well as the kinetics and thermodynamics of DNA hybridization and extensions, are addressed, which enable the optimization of the processing and the prediction of the products as a function of DNA sequence, mixing protocol, time, temperature and concentration of species.

  20. Forest and Agricultural Sector Optimization Model (FASOM): Model structure and policy applications. Forest Service research paper

    SciTech Connect (OSTI)

    Adams, D.M.; Alig, R.J.; Callaway, J.M.; McCarl, B.A.; Winnett, S.M.

    1996-09-01T23:59:59.000Z

    The Forest and Agricultural Sector Opimization Model (FASOM) is a dynamic, nonlinear programming model of the forest and agricultural sectors in the United States. The FASOM model initially was developed to evaluate welfare and market impacts of alternative policies for sequestering carbon in trees but also has been applied to a wider range of forest and agricultural sector policy scenarios. The authors describe the model structure and give selected examples of policy applications. A summary of the data sources, input data file format, and the methods used to develop the input data files also are provided.

  1. Circuit model optimization of a nano split ring resonator dimer antenna operating in infrared spectral range

    SciTech Connect (OSTI)

    Gneiding, N., E-mail: Natalia.Gneiding@physik.uni-erlangen.de [Erlangen Graduate School in Advanced Optical Technologies (SAOT), University of Erlangen-Nuremberg, 91052 Erlangen (Germany); Zhuromskyy, O.; Peschel, U. [Institute of Optics, Information and Photonics, University of Erlangen-Nuremberg, 91058 Erlangen (Germany); Shamonina, E. [Department of Engineering Science, University of Oxford, Parks Road, OX1 3PJ Oxford (United Kingdom)

    2014-10-28T23:59:59.000Z

    Metamaterials are comprised of metallic structures with a strong response to incident electromagnetic radiation, like, for example, split ring resonators. The interaction of resonator ensembles with electromagnetic waves can be simulated with finite difference or finite elements algorithms, however, above a certain ensemble size simulations become inadmissibly time or memory consuming. Alternatively a circuit description of metamaterials, a well developed modelling tool at radio and microwave frequencies, allows to significantly increase the simulated ensemble size. This approach can be extended to the IR spectral range with an appropriate set of circuit element parameters accounting for physical effects such as electron inertia and finite conductivity. The model is verified by comparing the coupling coefficients with the ones obtained from the full wave numerical simulations, and used to optimize the nano-antenna design with improved radiation characteristics.

  2. Coupled Operation of a Wind Farm and Pumped Storage Facility: Techno-Economic Modelling and Stochastic Optimization

    E-Print Network [OSTI]

    Victoria, University of

    Coupled Operation of a Wind Farm and Pumped Storage Facility: Techno-Economic Modelling Operation of a Wind Farm and Pumped Storage Facility: Techno-Economic Modelling and Stochastic Optimization a stochastic programming approach to the techno-economic analysis of a wind farm coupled with a pumped storage

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

    E-Print Network [OSTI]

    Dyer, Bill

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

  4. Optimization Online Digest -- April 2015

    E-Print Network [OSTI]

    Sparse optimization for inverse problems in atmospheric modelling. Lukas Adam ... JuMP: A modeling language for mathematical optimization. Iain Dunning ...

  5. Optimization of relativistic mean field model for finite nuclei to neutron star matter

    E-Print Network [OSTI]

    B. K. Agrawal; A. Sulaksono; P. -G. Reinhard

    2012-04-12T23:59:59.000Z

    We have optimized the parameters of extended relativistic mean-field model using a selected set of global observables which includes binding energies and charge radii for nuclei along several isotopic and isotonic chains and the iso-scalar giant monopole resonance energies for the $^{90}$Zr and $^{208}$Pb nuclei. The model parameters are further constrained by the available informations on the energy per neutron for the dilute neutron matter and bounds on the equations of state of the symmetric and asymmetric nuclear matter at supra-nuclear densities. Two new parameter sets BSP and IUFSU* are obtained, later one being the variant of recently proposed IUFSU parameter set. The BSP parametrization uses the contributions from the quartic order cross-coupling between $\\omega$ and $\\sigma$ mesons to model the high density behaviour of the equation of state instead of the $\\omega$ meson self-coupling as in the case of IUFSU* or IUFSU. Our parameter sets yield appreciable improvements in the binding energy systematics and the equation of state for the dilute neutron matter. The importance of the quartic order $\\omega-\\sigma$ cross coupling term of the extended RMF model, as often ignored, is realized.

  6. 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

  7. Proceedings of the Third International Conference on Modeling, Simulation and Applied Optimization Sharjah, U.A.E January 20-22, 2009

    E-Print Network [OSTI]

    Hossain, M. Enamul

    Proceedings of the Third International Conference on Modeling, Simulation and Applied Optimization effectively in hard rock are well known [3]. These difficulties are limited by the system stiffness

  8. Discretized Maximum Likelihood and Almost Optimal Adaptive Control of Ergodic Markov Models

    E-Print Network [OSTI]

    Duncan, T. E.; Pasik-Duncan, Bozenna J.; Stettner, L.

    1998-04-02T23:59:59.000Z

    processes, almost optimal adaptive control AMS subject classi#12;cations. 93E35, 93C40, 60J05, 62M05 PII. S0363012996298369 1. Introduction. In many control problems the models are not completely de- scribed and there are perturbations or unmodeled dynamics....s., so by (64), (93) I1((v^n; n 2 N)) #20; lim sup n!1 1 n n?1 X i=0 Z E c(z; uiN (z))#25; #11;0 uiN (dz) + " a.s. For ! 2 ? n N it follows from (93) that (94) I1((v^n; n 2 N)) #20; lim sup n!1 1 n n?1 X i=0 1F (#22;#14;)(#11;^iN ) Z E c(z; uiN (z))#25...

  9. Online Robot Dead Reckoning Localization Using Maximum Relative Entropy Optimization With Model Constraints

    SciTech Connect (OSTI)

    Urniezius, Renaldas [Kaunas University of Technology, Kaunas (Lithuania)

    2011-03-14T23:59:59.000Z

    The principle of Maximum relative Entropy optimization was analyzed for dead reckoning localization of a rigid body when observation data of two attached accelerometers was collected. Model constraints were derived from the relationships between the sensors. The experiment's results confirmed that accelerometers each axis' noise can be successfully filtered utilizing dependency between channels and the dependency between time series data. Dependency between channels was used for a priori calculation, and a posteriori distribution was derived utilizing dependency between time series data. There was revisited data of autocalibration experiment by removing the initial assumption that instantaneous rotation axis of a rigid body was known. Performance results confirmed that such an approach could be used for online dead reckoning localization.

  10. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France

    E-Print Network [OSTI]

    Boyer, Edmond

    corresponds to a system reliability threshold. After a number of preventive maintenance cycles, the system reliability threshold together with the optimal number of preventive maintenance cycles to maximize is provided for illustration. KEYWORDS: Reliability, Condition-based preventive maintenance, Optimization

  11. Integration of System-Level Optimization with Concurrent Engineering Using Parametric Subsystem Modeling

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Integration of System-Level Optimization with Concurrent Engineering Using Parametric Subsystem Students #12;2 #12;Integration of System-Level Optimization with Concurrent Engineering Using Parametric concurrent engineering use. In some ways concurrent engineering and automated system-level optimization

  12. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    in a more global study about hybridization of human energy. KEYWORDS: Optimal control, electric bicycle, A embedded source of power. The energy has to be split optimally between the engine and the electric machine based on classical optimal control theory to build an opti- mal offline control applied to a hybrid car

  13. A Full Demand Response Model in Co-Optimized Energy and

    SciTech Connect (OSTI)

    Liu, Guodong [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

    2014-01-01T23:59:59.000Z

    It has been widely accepted that demand response will play an important role in reliable and economic operation of future power systems and electricity markets. Demand response can not only influence the prices in the energy market by demand shifting, but also participate in the reserve market. In this paper, we propose a full model of demand response in which demand flexibility is fully utilized by price responsive shiftable demand bids in energy market as well as spinning reserve bids in reserve market. A co-optimized day-ahead energy and spinning reserve market is proposed to minimize the expected net cost under all credible system states, i.e., expected total cost of operation minus total benefit of demand, and solved by mixed integer linear programming. Numerical simulation results on the IEEE Reliability Test System show effectiveness of this model. Compared to conventional demand shifting bids, the proposed full demand response model can further reduce committed capacity from generators, starting up and shutting down of units and the overall system operating costs.

  14. Merging spatially variant physical process models under an optimized systems dynamics framework.

    SciTech Connect (OSTI)

    Cain, William O. (University of Texas at Austin, Austin, TX); Lowry, Thomas Stephen; Pierce, Suzanne A.; Tidwell, Vincent Carroll

    2007-10-01T23:59:59.000Z

    The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems, they tend to be case specific and generally emphasize either a quantitative and overly analytic approach or present a qualitative dialogue-based approach lacking the ability to fully explore consequences of different policy decisions. The integration of these two approaches is needed to drive toward final decisions and engender effective outcomes. Given these limitations, the Computer Assisted Dispute Resolution system (CADRe) was developed to aid in stakeholder inclusive resource planning. This modeling and negotiation system uniquely addresses resource concerns by developing a spatially varying system dynamics model as well as innovative global optimization search techniques to maximize outcomes from participatory dialogues. Ultimately, the core system architecture of CADRe also serves as the cornerstone upon which key scientific innovation and challenges can be addressed.

  15. 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

  16. Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long

    E-Print Network [OSTI]

    Long, David G.

    Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

  17. Modeling of an eye-imaging system for optimizing illumination schemes in an eye-tracked head-mounted

    E-Print Network [OSTI]

    Hua, Hong

    Modeling of an eye-imaging system for optimizing illumination schemes in an eye-tracked head While the augmentation of head-mounted displays (HMDs) with eye-tracking (ET) capabilities adds of illumination schemes in an ET-HMD system, we present a simulated eye illumination and imaging system, which

  18. Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu and Massoud Pedram

    E-Print Network [OSTI]

    Qiu, Qinru

    1 Stochastic Modeling of a Power-Managed System: Construction and Optimization Qinru Qiu, Qing Wu, CA 90089 Abstract -- The goal of a dynamic power management policy is to reduce the power consumption of a power-managed electronic system. We formulate the problem of system-level power management

  19. Deriving a Near-optimal Power Management Policy Using Model-Free Reinforcement Learning and Bayesian Classification

    E-Print Network [OSTI]

    Pedram, Massoud

    Deriving a Near-optimal Power Management Policy Using Model- Free Reinforcement Learning hardware and application characteristics, dynamic power management (DPM) frameworks must be able to learn about the system inputs and environment and adjust the power management policy on the fly. In this paper

  20. A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank Farm Operations

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank, Midland, MI 48674, USA Abstract This paper presents a novel mixed-integer linear programming (MILP multi-product processing lines and the assignment of dedicated storage tanks to finished products

  1. Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas

    E-Print Network [OSTI]

    Subramanian, Venkat

    great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficientlyExperimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas Lian He, Venkat R. Subramanian, Yinjie J. Tang* Department of Energy, Environmental

  2. FEDSOL: economic optimization guide for solar federal buildings projects. Model-simulation

    SciTech Connect (OSTI)

    Powell, J.W.; Rodgers, R.C. Jr.; Barnes, K.A.

    1981-01-01T23:59:59.000Z

    The FEDSOL program determines the economically optimal size of a solar energy system for a user-specified building, location, system type, and set of economic conditions; it conducts numerous breakeven and sensitivity analyses; and it calculates measures of economic performance as required under the Federal Rules. The economic model in the program is linked with the SLR (Solar Load Ratio) design method developed at Los Alamos National Laboratory to predict the performance of active systems. The economics portion of the program can, however, be used apart from the SLR method, with performance data provided by the user. An environmental data file for 243 U.S. cities is included in the program. Highly user oriented, the FEDSOL program is intended as a design and sizing tool for use by architects, engineers, and facilities managers in developing plans for Federal solar energy projects...Software Description: The program is written in the BASIC programming language for implementation on a CYBER 170/720 computer using the NOS Level 531 operating system. 47K bytes of core storage are required to operate the model.

  3. Network-Level Reliability-Based Bridge Inspection, Maintenance and Replacement Optimization Model

    E-Print Network [OSTI]

    Robelin, Charles-Antoine; Madanat, S M

    2006-01-01T23:59:59.000Z

    years) Interval between maintenance of type 2 (years) nonenone none Period of blocked maintenance (years) none noneShepard. Pontis: A System for Maintenance Optimization and

  4. Optimization of Fault Detection/Diagnosis Model for Thermal Storage System Using AIC

    E-Print Network [OSTI]

    Pan, S.; Zheng, M.; Nakahara, N.

    2006-01-01T23:59:59.000Z

    of the event. In addition, human learning, recognition, and optimal judgment process of any event can be simulated by optimizing the most effective pa-rameters and their numbers for detection and diagnosis by the use of variable selection method. In previous...

  5. Modeling and Optimization of Direct Chill Casting to Reduce Ingot Cracking

    SciTech Connect (OSTI)

    Das, Subodh K.

    2006-01-09T23:59:59.000Z

    A successful four-year project on the modeling and optimization of direct chill (DC) casting to reduce ingot cracking has been completed. The project involved close collaboration among private industries, national laboratories, and universities. During the four-year project, 16 quarterly meetings brought the industrial partners and the research team together for discussion of research results and research direction. The industrial partners provided guidance, facilities, and experience to the research team. The research team went to two industrial plants to measure temperature distributions in commercial 60,000-lb DC casting ingot. The collaborative research resulted in several major accomplishments or findings: (1) Surface cracks were shown to be a result of hot tearing rather than cold cracks, as was thought before this project. These cracks form on the surface of a DC cast ingot just above the impingement point of the secondary cooling water jets. The cracks form along dendrite and grain boundaries, where solute and impurity elements are highly segregated. This understanding led to the development of a new technique for determining the mechanical properties in the nonequilibrium mushy zone of alloys and to thermodynamic predictions of the hot tearing propensity of DC cast ingots. (2) The apparent heat transfer coefficient (HTC) at the ingot surface in the water cooling region during DC casting was determined on the basis of temperature measurements in commercial DC casting ingots and an inverse heat transfer analysis. HTCs were calculated as a function of temperature and time, and covered the different regimes of heat transfer expected during DC casting. The calculated values were extrapolated to include the effect of water flow rate. The calculated HTCs had a peak at around 200 C, corresponding to the high heat transfer rates during nucleate boiling, and the profile was consistent with similar data published in the literature. (3) A new method, termed the reheating-cooling method (RCM), was developed and validated for measuring mechanical properties in the nonequilibrium mushy zones of alloys. The new method captures the brittle nature of aluminum alloys at temperatures close to the nonequilibrium solidus temperature, while specimens tested using the reheating method exhibit significant ductility. The RCM has been used for determining the mechanical properties of alloys at nonequilibrium mushy zone temperatures. Accurate data obtained during this project show that the metal becomes more brittle at high temperatures and high strain rates. (4) The elevated-temperature mechanical properties of the alloy were determined. Constitutive models relating the stress and strain relationship at elevated temperatures were also developed. The experimental data fit the model well. (5) An integrated 3D DC casting model has been used to simulate heat transfer, fluid flow, solidification, and thermally induced stress-strain during casting. A temperature-dependent HTC between the cooling water and the ingot surface, cooling water flow rate, and air gap were coupled in this model. An elasto-viscoplastic model based on high-temperature mechanical testing was used to calculate the stress during casting. The 3D integrated model can be used for the prediction of temperature, fluid flow, stress, and strain distribution in DC cast ingots. (6) The cracking propensity of DC cast ingots can be predicted using the 3D integrated model as well as thermodynamic models. Thus, an ingot cracking index based on the ratio of local stress to local alloy strength was established. Simulation results indicate that cracking propensity increases with increasing casting speed. The composition of the ingots also has a major effect on cracking formation. It was found that copper and zinc increase the cracking propensity of DC cast ingots. The goal of this Aluminum Industry of the Future (IOF) project was to assist the aluminum industry in reducing the incidence of stress cracks in DC castings from a current level of 5% down to 2%. This could lead to energy savings

  6. Optimization Online Digest -- March 2009

    E-Print Network [OSTI]

    Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...

  7. Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PI{\\lambda}D{\\mu} Controllers via Genetic Programming

    E-Print Network [OSTI]

    Das, Saptarshi; Das, Shantanu; Gupta, Amitava; 10.1109/PACC.2011.5978962

    2012-01-01T23:59:59.000Z

    Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PI{\\lambda}D{\\mu} controllers. Comparative studies show that the new model reduction technique outperforms the conventional H2-norm based reduced order modeling techniques. Optimum tuning rule has been developed next with a test-bench of higher order processes via Genetic Programming (GP) with minimum value of weighted integral error index and control signal. From the Pareto optimal front which is a trade-off between the complexity of the formulae and control performance, an efficient set of tuning rules has been generated for time domain optimal PID and PI{\\lambda}D{\\mu} controllers.

  8. Growth-optimal investments and numeraire portfolios under transaction costs: An analysis based on the von Neumann-Gale model

    E-Print Network [OSTI]

    Bahsoun, Wael; Taksar, Michael I

    2009-01-01T23:59:59.000Z

    The aim of this work is to extend the capital growth theory developed by Kelly, Breiman, Cover and others to asset market models with transaction costs. We define a natural generalization of the notion of a numeraire portfolio proposed by Long and show how such portfolios can be used for constructing growth-optimal investment strategies. The analysis is based on the classical von Neumann-Gale model of economic dynamics, a stochastic version of which we use as a framework for the modelling of financial markets with frictions.

  9. Optimization Online Digest -- March 2014

    E-Print Network [OSTI]

    An Improved Stochastic Optimization Model for Water Supply Pumping Systems in Urban ... Robust optimal sizing of an hybrid energy stand-alone system

  10. Modeling and design optimization of adhesion between surfaces at the microscale.

    SciTech Connect (OSTI)

    Sylves, Kevin T. (University of Colorado, Boulder, CO)

    2008-08-01T23:59:59.000Z

    This research applies design optimization techniques to structures in adhesive contact where the dominant adhesive mechanism is the van der Waals force. Interface finite elements are developed for domains discretized by beam elements, quadrilateral elements or triangular shell elements. Example analysis problems comparing finite element results to analytical solutions are presented. These examples are then optimized, where the objective is matching a force-displacement relationship and the optimization variables are the interface element energy of adhesion or the width of beam elements in the structure. Several parameter studies are conducted and discussed.

  11. Hydraulic Fracture Optimization with a Pseudo-3D Model in Multi-layered Lithology 

    E-Print Network [OSTI]

    Yang, Mei

    2011-10-21T23:59:59.000Z

    Hydraulic Fracturing is a technique to accelerate production and enhance ultimate recovery of oil and gas while fracture geometry is an important aspect in hydraulic fracturing design and optimization. Systematic design ...

  12. A multiperiod optimization model to schedule large-scale petroleum development projects

    E-Print Network [OSTI]

    Husni, Mohammed Hamza

    2009-05-15T23:59:59.000Z

    This dissertation solves an optimization problem in the area of scheduling large-scale petroleum development projects under several resources constraints. The dissertation focuses on the application of a metaheuristic search Genetic Algorithm (GA...

  13. OLAF ---A General Modeling System to Evaluate and Optimize the Location of an Air

    E-Print Network [OSTI]

    Fliege, Jörg

    . . . . . . . . . . . . . . . . . . . . 17 3.1.2 Metabolism . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.2 Ecosystems and Food Webs . . . . . . . . . . . . . . . . . . 40 5.1.3 The Gradient of the Objective Function . . . . . . . . . 40 5.2 Optimization

  14. A Research on Production Optimization of Coupled Surface and Subsurface Model

    E-Print Network [OSTI]

    Iemcholvilert, Sevaphol

    2013-07-09T23:59:59.000Z

    One of the main objectives in the Oil & Gas Industry is to constantly improve the reservoir management capabilities by using production optimization strategies that can positively impact the so-called net-present value (NPV) of a given project...

  15. A physically-based heat pump model was connected to an optimization program to form a computer code for use in the design of high-efficiency

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    #12;ABSTRACT A physically-based heat pump model was connected to an optimization program to form a computer code for use in the design of high-efficiency heat pumps. The method used allows efficiency of conventional heat pumps, ten variables were optimized while heating capacity was fixed

  16. Lattice and off-lattice side chain models of protein folding: Linear time structure prediction better than 86% of optimal

    SciTech Connect (OSTI)

    Hart, W.E.; Istrail, S. [Sandia National Labs., Albuquerque, NM (United States). Algorithms and Discrete Mathematics Dept.

    1996-08-09T23:59:59.000Z

    This paper considers the protein structure prediction problem for lattice and off-lattice protein folding models that explicitly represent side chains. Lattice models of proteins have proven extremely useful tools for reasoning about protein folding in unrestricted continuous space through analogy. This paper provides the first illustration of how rigorous algorithmic analyses of lattice models can lead to rigorous algorithmic analyses of off-lattice models. The authors consider two side chain models: a lattice model that generalizes the HP model (Dill 85) to explicitly represent side chains on the cubic lattice, and a new off-lattice model, the HP Tangent Spheres Side Chain model (HP-TSSC), that generalizes this model further by representing the backbone and side chains of proteins with tangent spheres. They describe algorithms for both of these models with mathematically guaranteed error bounds. In particular, the authors describe a linear time performance guaranteed approximation algorithm for the HP side chain model that constructs conformations whose energy is better than 865 of optimal in a face centered cubic lattice, and they demonstrate how this provides a 70% performance guarantee for the HP-TSSC model. This is the first algorithm in the literature for off-lattice protein structure prediction that has a rigorous performance guarantee. The analysis of the HP-TSSC model builds off of the work of Dancik and Hannenhalli who have developed a 16/30 approximation algorithm for the HP model on the hexagonal close packed lattice. Further, the analysis provides a mathematical methodology for transferring performance guarantees on lattices to off-lattice models. These results partially answer the open question of Karplus et al. concerning the complexity of protein folding models that include side chains.

  17. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System modeling and a new formulation

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1995-02-01T23:59:59.000Z

    This paper undertakes the problem of optimal capacitor placement, replacement and control in large-scale unbalanced, radial or loop distribution networks. The problem is how to optimally determine the locations to install (or replace, or remove) capacitors, the types and sizes of capacitors to be installed (or replaced) and, during each load level, the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints (e.g. the voltage profile) at different load levels are satisfied. The objective function considered consists of two terms: cost for energy loss and cost related to capacitor purchase, capacitor installation, capacitor replacement and capacitor removal. Comprehensive modelings of different components are presented which include primary power networks, three-phase transformers (different winding connections, off-nominal tap ratio, core and copper losses), co-generators, voltage sensitive load models for single-phase, two-phase and three-phase loads, shunt capacitors and reactors. The new problem is formulated as a combinatorial optimization problem with a non-differentiable objective function. The configuration space essential in the design of an annealing-based solution methodology for the new problem is derived. An effective solution methodology for solving the new problem and numerical studies on a realistic, unbalanced distribution network, a 291-bus with 305 distribution lines and 6 transformers, with varying loading conditions, will be presented in a companion paper.

  18. Optimal capacitor placement, replacement and control in large-scale unbalanced distribution systems: System modeling and a new formulation

    SciTech Connect (OSTI)

    Chiang, H.D.; Wang, J.C.; Tong, J. [Cornell Univ., Ithaca, NY (United States). School of Electrical Engineering; Darling, G. [NYSEG Corp., Binghamton, NY (United States). Distribution System Dept.

    1994-12-31T23:59:59.000Z

    This paper undertakes the problem of optimal capacitor placement, replacement and control in large-scale unbalanced, radial or loop distribution networks. The problem is how to optimally determine the locations to install (or replace, or remove) capacitors, the types and sizes of capacitors to be installed (or replaced) and, during each load level, the control schemes for each capacitor in the nodes of a general three-phase unbalanced distribution system such that a desired objective function is minimized while the load constraints, network constraints and operational constraints (e.g. the voltage profile) at different load levels are satisfied. The objective function considered consists of two terms: cost for energy loss and cost related to capacitor purchase, capacitor installation, capacitor replacement and capacitor removal. Comprehensive modelings of different components are presented which include primary power networks, three-phase transformers (different winding connections, off-nominal tap ratio, core and copper losses), co-generators, voltage sensitive load models for single-phase, two-phase and three-phase loads, shunt capacitors and rectors. The new problem is formulated as a combinational optimization problem with a non-differentiable objective function. The configuration space essential in the design of a annealing-based solution methodology for solving the new problem and numerical studies on a realistic, unbalanced distribution network, a 291-bus with 305 distribution lines and 6 transformers, with varying loading conditions, will be presented in a companion paper.

  19. Optimization in the Parikh-Wilczek tunneling model of Hawking radiation for Kerr-Newman Black Holes

    E-Print Network [OSTI]

    Auttakit Chatrabhuti; Khem Upathambhakul

    2014-03-17T23:59:59.000Z

    In this short report, we investigate the mutual information hidden in the Parikh-Wilczek tunneling model of Hawking radiation for Kerr-Newman black holes. By assuming the radiation as an optimization process, we discuss its effect on time evolution of rotating (charged and uncharged) black holes. For uncharged rotating black holes evaporating under the maximum mutual information optimization, their scale invariant rotation parameter $a_*=a/M$ is almost constant at the early stage but rapidly increase at the very last stage of the evaluation process. The value of rotation parameter at the final state of evaporation depends on the initial condition of the black hole. We also found that the presence of electric charge can cause the black holes lose their angular momentum more rapidly than they lose mass. The charged-rotating black holes asymptotically approach a state which is described by $a_*= 0$ and $Q/M = 1$.

  20. Optimization Online - All Areas Submissions - April 2015

    E-Print Network [OSTI]

    Sparse optimization for inverse problems in atmospheric modelling. Lukas Adam ... JuMP: A modeling language for mathematical optimization. Iain Dunning ...

  1. High Level Optimization Model for the Retrofit Planning of Process Networks

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    optimization techniques for the redesign of crude distillation columns. And Fraser and Hallale10 proposed synthesis. Abstract The retrofit design of a network of processes over several time periods is addressed subsystems and flowsheets for the design of new processes, or "grassroots" design. Many algorithms

  2. Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One: Neural Model Building

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One.998 respectively. This is the first phase in the development of a tool to maximize total field oil production capacity and subsequent oil production. Figure 2 illustrates the range of daily average temperatures from

  3. Constrained Multi-Objective GA Optimization Using Reduced Models Dept. of Computer Science

    E-Print Network [OSTI]

    Rasheed, Khaled

    state GAs may perform better than generational GAs because they better retain the feasible points found runs several GAs concurrently with each GA optimizing one objective and exchanging information about of steady state Genetic Algorithms (GAs) in realistic engineering design domains which usually involve

  4. American Institute of Aeronautics and Astronautics Development of a Maintenance Option Model to Optimize

    E-Print Network [OSTI]

    Sandborn, Peter

    to Optimize Offshore Wind Farm Sustainment Peter Sandborn,1 Gilbert Haddad,2 Amir Kashani-Pour2 and Xin Lei2, representing 17-28% of the total levelized cost of offshore wind farms and more for farms that are more than 12 stakeholders. Understanding the life-cycle sustainment requirements of offshore wind farms is an area that has

  5. The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow

    E-Print Network [OSTI]

    Marsden, Alison L.

    in the upstream proximal angle. The impact of cost function choice on the optimal solution was explored construction of a graft over a blocked blood vessel. Depending on the location and the underlying disease of surgical geometry on flow fields and hence wall- shear stress WSS , oscillatory shear index OSI , wall

  6. Stochastic Optimization of Electricity Portfolios: Scenario Tree Modeling and Risk Management

    E-Print Network [OSTI]

    Eichhorn, Andreas

    of risk manage- ment into power production planning and trading based on stochastic programming. In energy and (physical) power trading. Moreover, risk management and stochastic optimization rest upon the same type of stochastic programming with regard to application in power management. In particular we discuss issues

  7. Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles Part 1: Model, Methods, and

    E-Print Network [OSTI]

    Grizzle, Jessy W.

    Incorporating Drivability Metrics into Optimal Energy Management Strategies for Hybrid Vehicles-parallel configuration considered here. Hybrid vehicles are characterized by multiple energy sources; the strategy Gillespie, Jeffrey A. Cook, and J.W. Grizzle Abstract--Hybrid Vehicle fuel economy performance is highly

  8. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France

    E-Print Network [OSTI]

    Boyer, Edmond

    provides formal methodology for automatic synthesis of the controller, obtaining an optimal control process- straction for a large variety of systems (Fabian and Hellgren, 1998). The Supervisory Control Theory (SCT methodology for automatic synthesis of the DES controller. The main charac- teristic of the SCT

  9. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 06-08, 2012 Bordeaux -France

    E-Print Network [OSTI]

    Boyer, Edmond

    and production planning and control has recently become an important research area. In this context, (O MAINTENANCE/PRODUCTION PLANNING FOR A MANUFACTURING SYSTEM UNDER THE MACHINE AVAILABILITY AND SUBCONTRACTING a subcontracting machine. In order to ensure a simultaneous economic production planning with an optimal

  10. Islanding model for preventing wide-area blackouts and the issue of local solutions of the optimal power flow problem. 

    E-Print Network [OSTI]

    Bukhsh, Waqquas Ahmed

    2014-07-01T23:59:59.000Z

    Optimization plays a central role in the control and operation of electricity power networks. In this thesis we focus on two very important optimization problems in power systems. The first is the optimal power flow ...

  11. Optimization and sensitivity of a global biogeochemistry ocean model using combined in situ DIC, alkalinity, and phosphate data

    E-Print Network [OSTI]

    Kwon, Eun Young; Primeau, Francois

    2008-01-01T23:59:59.000Z

    C08011 KWON AND PRIMEAU: OPTIMIZATION AND SENSITIVITY STUDYand F. Primeau (2006), Optimization and sensitivity study of10.1029/2007JC004520, 2008 Optimization and sensitivity of a

  12. Optimal DNA signal recognition models with a xed amount of intrasignal dependency

    E-Print Network [OSTI]

    Vinar, Tomas

    models over more standard models based on adjacent positions is modest. However, there is a notable models o#11;er modest improvement over existing techniques, most notably in improving the accuracy position weight matrices (PWMs), is modest. In this

  13. Effective hybrid evolutionary computational algorithms for global optimization and applied to construct prion AGAAAAGA fibril models

    E-Print Network [OSTI]

    Zhang, Jiapu

    2010-01-01T23:59:59.000Z

    Evolutionary algorithms are parallel computing algorithms and simulated annealing algorithm is a sequential computing algorithm. This paper inserts simulated annealing into evolutionary computations and successful developed a hybrid Self-Adaptive Evolutionary Strategy $\\mu+\\lambda$ method and a hybrid Self-Adaptive Classical Evolutionary Programming method. Numerical results on more than 40 benchmark test problems of global optimization show that the hybrid methods presented in this paper are very effective. Lennard-Jones potential energy minimization is another benchmark for testing new global optimization algorithms. It is studied through the amyloid fibril constructions by this paper. To date, there is little molecular structural data available on the AGAAAAGA palindrome in the hydrophobic region (113-120) of prion proteins.This region belongs to the N-terminal unstructured region (1-123) of prion proteins, the structure of which has proved hard to determine using NMR spectroscopy or X-ray crystallography ...

  14. MULTI-SCALE MODELING AND APPROXIMATION ASSISTED OPTIMIZATION OF BARE TUBE HEAT EXCHANGERS

    SciTech Connect (OSTI)

    Bacellar, Daniel [University of Maryland, College Park; Ling, Jiazhen [University of Maryland, College Park; Aute, Vikrant [University of Maryland, College Park; Radermacher, Reinhard [University of Maryland, College Park; Abdelaziz, Omar [ORNL

    2014-01-01T23:59:59.000Z

    Air-to-refrigerant heat exchangers are very common in air-conditioning, heat pump and refrigeration applications. In these heat exchangers, there is a great benefit in terms of size, weight, refrigerant charge and heat transfer coefficient, by moving from conventional channel sizes (~ 9mm) to smaller channel sizes (< 5mm). This work investigates new designs for air-to-refrigerant heat exchangers with tube outer diameter ranging from 0.5 to 2.0mm. The goal of this research is to develop and optimize the design of these heat exchangers and compare their performance with existing state of the art designs. The air-side performance of various tube bundle configurations are analyzed using a Parallel Parameterized CFD (PPCFD) technique. PPCFD allows for fast-parametric CFD analyses of various geometries with topology change. Approximation techniques drastically reduce the number of CFD evaluations required during optimization. Maximum Entropy Design method is used for sampling and Kriging method is used for metamodeling. Metamodels are developed for the air-side heat transfer coefficients and pressure drop as a function of tube-bundle dimensions and air velocity. The metamodels are then integrated with an air-to-refrigerant heat exchanger design code. This integration allows a multi-scale analysis of air-side performance heat exchangers including air-to-refrigerant heat transfer and phase change. Overall optimization is carried out using a multi-objective genetic algorithm. The optimal designs found can exhibit 50 percent size reduction, 75 percent decrease in air side pressure drop and doubled air heat transfer coefficients compared to a high performance compact micro channel heat exchanger with same capacity and flow rates.

  15. Optimization Online

    E-Print Network [OSTI]

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

  16. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of models as tool for fault diagnosis systems. Nowadays, industrial robots living in stochastic environment

  17. OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models

    E-Print Network [OSTI]

    Richardson, Andrew D.

    and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation

  18. Estimating model parameters for an impact-produced shock-wave simulation: Optimal use of partial data with the extended Kalman filter

    SciTech Connect (OSTI)

    Kao, Jim [Los Alamos National Laboratory, Applied Physics Division, P.O. Box 1663, MS T086, Los Alamos, NM 87545 (United States)]. E-mail: kao@lanl.gov; Flicker, Dawn [Los Alamos National Laboratory, Applied Physics Division, P.O. Box 1663, MS T086, Los Alamos, NM 87545 (United States); Ide, Kayo [University of California at Los Angeles (United States); Ghil, Michael [University of California at Los Angeles (United States)

    2006-05-20T23:59:59.000Z

    This paper builds upon our recent data assimilation work with the extended Kalman filter (EKF) method [J. Kao, D. Flicker, R. Henninger, S. Frey, M. Ghil, K. Ide, Data assimilation with an extended Kalman filter for an impact-produced shock-wave study, J. Comp. Phys. 196 (2004) 705-723.]. The purpose is to test the capability of EKF in optimizing a model's physical parameters. The problem is to simulate the evolution of a shock produced through a high-speed flyer plate. In the earlier work, we have showed that the EKF allows one to estimate the evolving state of the shock wave from a single pressure measurement, assuming that all model parameters are known. In the present paper, we show that imperfectly known model parameters can also be estimated accordingly, along with the evolving model state, from the same single measurement. The model parameter optimization using the EKF can be achieved through a simple modification of the original EKF formalism by including the model parameters into an augmented state variable vector. While the regular state variables are governed by both deterministic and stochastic forcing mechanisms, the parameters are only subject to the latter. The optimally estimated model parameters are thus obtained through a unified assimilation operation. We show that improving the accuracy of the model parameters also improves the state estimate. The time variation of the optimized model parameters results from blending the data and the corresponding values generated from the model and lies within a small range, of less than 2%, from the parameter values of the original model. The solution computed with the optimized parameters performs considerably better and has a smaller total variance than its counterpart using the original time-constant parameters. These results indicate that the model parameters play a dominant role in the performance of the shock-wave hydrodynamic code at hand.

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    derived from a basic diagnostic fuel cell model [3] was usedExperimental Diagnostics in Polymer Electrolyte Fuel Cells,

  20. ATOMIC-LEVEL MODELING OF CO2 DISPOSAL AS A CARBONATE MINERAL: A SYNERGETIC APPROACH TO OPTIMIZING REACTION PROCESS DESIGN

    SciTech Connect (OSTI)

    A.V.G. Chizmeshya; M.J. McKelvy; J.B. Adams

    2001-11-01T23:59:59.000Z

    Fossil fuels, especially coal, can support the energy demands of the world for centuries to come, if the environmental problems associated with CO{sub 2} emissions can be overcome. Permanent and safe methods for CO{sub 2} capture and disposal/storage need to be developed. Mineralization of stationary-source CO{sub 2} emissions as carbonates can provide such safe capture and long-term sequestration. Mg-rich lamellar hydroxide mineral carbonation is a leading process candidate, which generates the stable naturally occurring mineral magnesite (MgCO{sub 3}) and water. Key to process cost and viability are the carbonation reaction rate and its degree of completion. This process, which involves simultaneous dehydroxylation and carbonation is very promising, but far from optimized. In order to optimize the dehydroxylation/carbonation process, an atomic-level understanding of the mechanisms involved is needed. In this investigation Mg(OH){sub 2} was selected as a model Mg-rich lamellar hydrocide carbonation feedstock material due to its chemical and structural simplicity. Since Mg(OH){sub 2} dehydroxylation is intimately associated with the carbonation process, its mechanisms are also of direct interest in understanding and optimizing the process. The aim of the current innovative concepts project is to develop a specialized advanced computational methodology to complement the ongoing experimental inquiry of the atomic level processes involved in CO{sub 2} mineral sequestration. The ultimate goal is to integrate the insights provided by detailed predictive simulations with the data obtained from optical microscopy, FESEM, ion beam analysis, SIMS, TGA, Raman, XRD, and C and H elemental analysis. The modeling studies are specifically designed to enhance the synergism with, and complement the analysis of, existing mineral-CO{sub 2} reaction process studies being carried out under DOE UCR Grant DE-FG2698-FT40112. Direct contact between the simulations and the experimental measurements is provided by computing, from first principles, the equilibrium structures, elastic, optical, and vibrational properties of Mg(OH){sub 2} (brucite), MgO (periclase), MgCO{sub 3} (magnesite), as well as the energetics of the dehydroxylation reaction (Mg(OH){sub 2} {yields} MgO + H{sub 2}O), and the reactivity of CO{sub 2} with MgO and Mg(OH){sub 2}. From these calculations, thermodynamic characteristics of the reaction conditions can be inferred. This kind of information, when integrated with the atomic level data obtained from experimental gas-solid dehydroxylation/carbonation studies, will be used to design optimized reaction processes leading to the practical and cost-effective sequestration of CO{sub 2} in mineral form.

  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. anguilla optimizing production: Topics by E-print Network

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

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

  3. Optimization Journals, Sites, Societies

    E-Print Network [OSTI]

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

  4. Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model 

    E-Print Network [OSTI]

    Zhang, Xuesong

    2009-05-15T23:59:59.000Z

    ? weights for river stage prediction (Chau, 2006). Other evolutionary algorithms, such as Differential Evaluation (DE) (Storn and Price, 1997) and Artificial Immune Systems (AIS) (de Castro and Von Zuben, 2002a; de Castro and Von Zuben, 2002b), although... is to structure the hydrologic model as a probability model, then the confidence interval of model output can be computed (Montanari et al., 1997). Representative methods of this category include Markov Chain Monte Carlo (MCMC) and a Generalized Likelihood...

  5. Optimal Real-time Dispatch for Integrated Energy Systems

    E-Print Network [OSTI]

    Firestone, Ryan Michael

    2007-01-01T23:59:59.000Z

    Renewable Energy Laboratory’s Hybrid Optimization Model forRenewable Energy Laboratory’s (NREL) Hybrid Optimization

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    Polymer Electrolyte Fuel Cell Model, J. Electrochem. Soc. ,in Polymer Electrolyte Fuel Cells, J. Electrochem. Soc. ,Solid-Polymer- Electrolyte Fuel Cell, J. Electrochem. Soc. ,

  7. On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model

    SciTech Connect (OSTI)

    Bond-Lamberty, Benjamin; Calvin, Katherine V.; Jones, Andrew D.; Mao, Jiafu; Patel, Pralit L.; Shi, Xiaoying; Thomson, Allison M.; Thornton, Peter E.; Zhou, Yuyu

    2014-01-01T23:59:59.000Z

    Human activities are significantly altering biogeochemical cycles at the global scale, posing a significant problem for earth system models (ESMs), which may incorporate static land-use change inputs but do not actively simulate policy or economic forces. One option to address this problem is a to couple an ESM with an economically oriented integrated assessment model. Here we have implemented and tested a coupling mechanism between the carbon cycles of an ESM (CLM) and an integrated assessment (GCAM) model, examining the best proxy variables to share between the models, and quantifying our ability to distinguish climate- and land-use-driven flux changes. CLM’s net primary production and heterotrophic respiration outputs were found to be the most robust proxy variables by which to manipulate GCAM’s assumptions of long-term ecosystem steady state carbon, with short-term forest production strongly correlated with long-term biomass changes in climate-change model runs. By leveraging the fact that carbon-cycle effects of anthropogenic land-use change are short-term and spatially limited relative to widely distributed climate effects, we were able to distinguish these effects successfully in the model coupling, passing only the latter to GCAM. By allowing climate effects from a full earth system model to dynamically modulate the economic and policy decisions of an integrated assessment model, this work provides a foundation for linking these models in a robust and flexible framework capable of examining two-way interactions between human and earth system processes.

  8. HCCI engine control and optimization

    E-Print Network [OSTI]

    Killingsworth, Nicholas J.

    2007-01-01T23:59:59.000Z

    3.2 HCCI Cycle Model . . . . . . . . . . . . . . . 3.2.1v Chapter 7 Optimizing HCCI Engine Combustion TimingWork . . . . . . . . . . . . . . . 1.2.1 HCCI Models for

  9. Optimization Online - All Areas Submissions - March 2009

    E-Print Network [OSTI]

    Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...

  10. Signal reconstruction by a GA-optimized ensemble of PCA models P. Baraldi1

    E-Print Network [OSTI]

    Boyer, Edmond

    the robustness of reconstruction. By assigning appropriate performance indicators to the individual models and basing the reconstruction on those models in the ensemble indicated as best performing for a robust , D. Roverso2 , M. Hoffmann2 1 Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34

  11. Case-Based Reasoning vs Parametric Models for Software Quality Optimization

    E-Print Network [OSTI]

    Menzies, Tim

    staff hours), and time (elapsed calendar months). In the first way, we construct a parametric model from historical cases. Aim: To assess case-based reasoning vs parametric modeling for quality Descriptors D.2.9 [Software Engineering]: Management--Software quality assurance; D.2.9 [Software Engineering

  12. A Fixed Point Charge Model for Water Optimized to the Vapor-Liquid Coexistence Properties

    E-Print Network [OSTI]

    the temperature range of the liquid. Results were compared to the SPC, SPC/E, and MSPC/E models, vapor pressures, critical parameters, and the second virial coefficient. It is inferior to the SPC interactions. Models of this type include the Bernal-Fowler1 , ST22 , TIPS23 , TIP4P4 , SPC5 , SPC/E6

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

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    the model against historical production data, and use the calibrated model to simulate the impact of tax prices have prompted oil-holding nations and states to revise their tax policies, including increasing to historical data to simulate the effects of alternative tax policies on production paths and on the present

  14. Optimization Online - Stochastic Optimization Approach to Water ...

    E-Print Network [OSTI]

    Juan M. Salazar

    2012-03-18T23:59:59.000Z

    Mar 18, 2012 ... The approach determines optimal set-points to maximize power output in the ... black-box simulation models and to construct empirical distributions from ... In a pulverized coal power plant study we have found that weather ...

  15. Optimal modeling of 1D azimuth correlations in the context of Bayesian inference

    E-Print Network [OSTI]

    De Kock, Michiel B; Trainor, Thomas A

    2015-01-01T23:59:59.000Z

    Analysis and interpretation of spectrum and correlation data from high-energy nuclear collisions is currently controversial because two opposing physics narratives derive contradictory implications from the same data-one narrative claiming collision dynamics is dominated by dijet production and projectile-nucleon fragmentation, the other claiming collision dynamics is dominated by a dense, flowing QCD medium. Opposing interpretations seem to be supported by alternative data models, and current model-comparison schemes are unable to distinguish between them. There is clearly need for a convincing new methodology to break the deadlock. In this study we introduce Bayesian Inference (BI) methods applied to angular correlation data as a basis to evaluate competing data models. For simplicity the data considered are projections of 2D angular correlations onto 1D azimuth from three centrality classes of 200 GeV Au-Au collisions. We consider several data models typical of current model choices, including Fourier seri...

  16. Risk Based Maintenance Optimization using Probabilistic Maintenance Quantification Models of Circuit Breaker

    E-Print Network [OSTI]

    Natti, Satish

    2010-01-14T23:59:59.000Z

    New maintenance techniques for circuit breakers are studied in this dissertation by proposing a probabilistic maintenance model and a new methodology to assess circuit breaker condition utilizing its control circuit data. A risk-based decision...

  17. Discrete optimization methods to fit piecewise-affine models to data ...

    E-Print Network [OSTI]

    2015-03-09T23:59:59.000Z

    (a) A piecewise affine model with k = 2, fitting the eight data points. A = {ai}i?I .... where: i) for every j ? J, each group Aj is completely contained into the subdo-.

  18. Modeling and Optimization of Matrix Acidizing in Horizontal Wells in Carbonate Reservoirs

    E-Print Network [OSTI]

    Tran, Hau

    2013-05-07T23:59:59.000Z

    concentration, temperature and acid flux in the formation. The work concentrated on the investigation of the acid flux. Analytical equations for injection rate schedule for different wormhole models. In carbonate acidizing, the existence of the optimum...

  19. OLAF _ A General Modeling System to Evaluate and Optimize the Location of an Air

    E-Print Network [OSTI]

    Fliege, Jörg

    ........................17 3.1.1The Standard Model ....................17 3.1.2Metabolism.1.2The Objective Function ..................40 5.1.3The Gradient of the Objective Function

  20. Discrete optimization methods to fit piecewise-affine models to data ...

    E-Print Network [OSTI]

    Edoardo Amaldi

    2015-03-08T23:59:59.000Z

    Mar 8, 2015 ... polimi.it). Abstract: Fitting piecewise affine models to data points is a pervasive task in many scientific disciplines. In this work, we address the k- ...

  1. Model-constrained optimization methods for reduction of parameterized large-scale systems

    E-Print Network [OSTI]

    Bui-Thanh, Tan

    2007-01-01T23:59:59.000Z

    Most model reduction techniques employ a projection framework that utilizes a reduced-space basis. The basis is usually formed as the span of a set of solutions of the large-scale system, which are computed for selected ...

  2. Model-Constrained Optimization Methods for Reduction of Parameterized Large-Scale Systems

    E-Print Network [OSTI]

    Tan, Bui-Thanh

    Most model reduction techniques employ a projection framework that utilizes a reduced-space basis. The basis is usually formed as the span of a set of solutions of the large-scale system, which are computed for selected ...

  3. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program 

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from the building so the simulation output closely follows the measured time series energy consumption data and shows...

  4. State-space modeling and optimal control of ship motions in a seastate

    E-Print Network [OSTI]

    Ulusoy, Talha

    2006-01-01T23:59:59.000Z

    In this thesis, a new state-space model and motion control algorithm are developed from first principles for the improvement of the seakeeping performance of high-speed vessels equipped with lifting appendages that are ...

  5. Optimization Online - Augmented L1 and Nuclear-Norm Models with ...

    E-Print Network [OSTI]

    Ming-Jun Lai

    2012-01-22T23:59:59.000Z

    Jan 22, 2012 ... Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm. Ming-Jun Lai (mjlai ***at*** math.uga.edu) Wotao Yin ...

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

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

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

  7. Energy optimization system

    DOE Patents [OSTI]

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

    2013-01-22T23:59:59.000Z

    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.

  8. Global parameter optimization of Mather type plasma focus in the framework of the Gratton-Vargas two-dimensional snowplow model

    E-Print Network [OSTI]

    Auluck, S K H

    2014-01-01T23:59:59.000Z

    Dense Plasma Focus (DPF) is known to produce highly energetic ions, electrons and plasma environment which can be used for breeding of short-lived isotopes, plasma nanotechnology and other material processing applications. Commercial utilization of DPF in such areas would need a design tool which can be deployed in an automatic search for the best possible device configuration for a given application. The recently revisited [S K H Auluck, Physics of Plasmas 20, 112501 (2013)] Gratton-Vargas (GV) two-dimensional analytical snowplow model of plasma focus provides a numerical formula for dynamic inductance of a Mather type plasma focus fitted to thousands of automated computations, which enables construction of such design tool. This inductance formula is utilized in the present work to explore global optimization, based on first-principles optimality criteria, in a 4-dimensional parameter-subspace of the zero-resistance GV model. The optimization process is shown to reproduce the empirically observed constancy ...

  9. Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    buildings, Proceedings of the ACEEE 1992 Summer Study on Energy Efficiency in Buildings, 1, 137-147. Kaplan, M.B., Jones, B., Jansen, J., 1990. DOE- 2.1C Model calibration with monitored end-use data, Proceedings of the ACEEE 1990 Summer Study on Energy....E. Professor Texas A&M University Energy Systems Laboratory College Station, TX ABSTRACT A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from...

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

    E-Print Network [OSTI]

    Yu, Guo

    2011-02-22T23:59:59.000Z

    variations which serves as the baseline for robust analog circuit design. We propose statistical performance modeling methods for two popular types of complex analog/mixed-signal circuits including Sigma-Delta ADCs and charge-pump PLLs. A more general...

  11. International Conference of Modeling, Optimization and Simulation -MOSIM'12 June 6-8, 2012 -Bordeaux -France

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    manufacturers. While many models of hybrid cars have been devel- oped and put on the market in the last few Environment for Assessing Power Management Strategies in Hybrid Motorcycles Alessandro Beghi, Fabio Maran of transportation systems is a world wide priority. Hybrid propulsion vehicles have proved to have a strong

  12. Long Proteins with Unique Optimal Foldings in the H-P Model ?

    E-Print Network [OSTI]

    state of proteins is a global energy minimum, and (2) in most cases proteins fold to a unique state model designed to answer qualitative questions about the protein folding process. In this paper we; 1 Introduction Protein folding [14,22,30] is a central problem in molecular and computational

  13. Computational Modeling and Optimization of a Novel Shock Tube to Study Blast Induced Traumatic Brain Injury

    E-Print Network [OSTI]

    Anumolu, Pratima

    2014-08-06T23:59:59.000Z

    CCM+ (CD-adapco, NY, USA). Assumptions used to model the flow were unsteady, inviscid, compressible, axisymmetric flow with time-step of 1e-5s. Multiple regression was run on these parameters to establish empirical relationship with pressure profile...

  14. Accurate Component Model Based Optimal Control for Energy Storage Systems in Households with Photovoltaic Modules

    E-Print Network [OSTI]

    Pedram, Massoud

    a particularly interesting problem with the introduction of dynamic electricity energy pricing models since, comprised of both the energy price component and the demand price component. Due to the characteristics of the realistic electricity price function and the energy storage capacity limitation, the residential storage

  15. RESERVOIR MODEL OPTIMIZATION UNDER UNCERTAINTY Sasanka Are, Paul Dostert, Bree Ettinger

    E-Print Network [OSTI]

    models for a simple oil reser- voir. Besides estimating NPV for certain high/low scenarios, we used permeability field. 2 #12;1 Introduction 1.1 Reservoir Simulation and Darcy's Law 1.1.1 Reservoir Simulation. The movement of the fluids through the rock can be described using convection/diffusion equations

  16. Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    / 24 #12;Natural Gas Industry Motivation Natural Gas Industry Globally increasing demand & production of natural gas. Demand distribution (as of 2008) 21 % residential, 13 % Commercial, 34 % Industrial, 29 - Regulated, Deregulated markets Applying Economic Model Predictive Control to gas transportation. 1Zheng et

  17. A Unified Approach for Modeling and Optimization of Energy, Makespan and Reliability for Scientific Workflows

    E-Print Network [OSTI]

    Deelman, Ewa

    model for analyzing and profiling energy usage that addresses resource utilization, data movement, and I.g. single core homogeneous virtual machines), and ignores external loads. In this work, we propose 1.k.a. transformations) that read one or more input files and produce one or more output files, and data dependencies

  18. Optimization Online - All Areas Submissions - October 2014

    E-Print Network [OSTI]

    Inexactness of SDP Relaxation for Optimal Power Flow over Radial Networks and Valid ... Optimization Software and Modeling Systems ... Semi-definite relaxations for optimal control problems with oscillation and concentration effects

  19. An optimal fitting approach to improve the GISS ModelE aerosol optical property parameterization using AERONET data

    E-Print Network [OSTI]

    and absorbing solar radiation and the indirect effect by interacting with water vapor to affect cloud formation and lifetime. Absorbing aerosols also have the semidirect effect by heating the atmosphere layer, reducing; Intergovernmental Panel on Climate Change, 2001]. [3] Globalscale models, which simulate the emission, transport

  20. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS, PART B: CYBERNETICS, VOL. ?, NO. ?, ? 1 M-estimator and D-optimality Model Construction using

    E-Print Network [OSTI]

    Chen, Sheng

    output is a linear combination of non- linear basis functions. Provided that there is a separate and linear algebra are directly applicable. Moreover by applying linear regression statistical techniques-estimator and D-optimality Model Construction using Orthogonal Forward Regression Xia Hong, Senior Member, IEEE

  1. Abstract--A bi-objective optimization model of power and power changes generated by a wind turbine is discussed in this

    E-Print Network [OSTI]

    Kusiak, Andrew

    operating a variable-speed wind turbine with pitch control to maximize power while minimizing the loads prediction, power ramp rate, data mining, wind turbine operation strategy, generator torque, blade pitch1 Abstract--A bi-objective optimization model of power and power changes generated by a wind

  2. Development of a Laboratory Verified Single-Duct VAV System Model with Fan Powered Terminal Units Optimized Using Computational Fluid Dynamics

    E-Print Network [OSTI]

    Davis, Michael A.

    2011-10-21T23:59:59.000Z

    the static pressure drop as air passed through the unit over the full operating range of the FPTU. Computational fluid dynamics (CFD) models of typical a FPTU were developed and used to investigate opportunities for optimizing the design of FPTUs. The CFD...

  3. PEEC-Models for EMC filter layout optimization Thomas De Oliveira, Jean-Michel Guichon, Jean-Luc Schanen, Laurent Gerbaud

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    PEEC-Models for EMC filter layout optimization Thomas De Oliveira, Jean-Michel Guichon, Jean France Abstract The subject of this paper is related to EMC filter integration. Due to stray interactions components. On the EMC Filter point of view, which represents usually 30% of the con- verter volume

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

    E-Print Network [OSTI]

    Zhu, Yu

    2011-08-08T23:59:59.000Z

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

  5. Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model

    E-Print Network [OSTI]

    Zhang, Xuesong

    2009-05-15T23:59:59.000Z

    -7. Performance of PSO and PSO-SVM against model evaluations. .............. 117 Figure 7-1. Schematic illustration of one iteration of EMC.......................................... 126 Figure 7-2. Simulated values of the first and fifth component from the two...-modal distribution. The solid line is the true value, and the grey area is the density estimated by EMC. ......................................................................... 134 Figure 7-3. Scatter plot of the samples generated by EMC for the 20-modal...

  6. Modeling and Simulation Optimization and Feasibility Studies for the Neutron Detection without Helium-3 Project

    SciTech Connect (OSTI)

    Ely, James H.; Siciliano, Edward R.; Swinhoe, Martyn T.; Lintereur, Azaree T.

    2013-01-01T23:59:59.000Z

    This report details the results of the modeling and simulation work accomplished for the ‘Neutron Detection without Helium-3’ project during the 2011 and 2012 fiscal years. The primary focus of the project is to investigate commercially available technologies that might be used in safeguards applications in the relatively near term. Other technologies that are being developed may be more applicable in the future, but are outside the scope of this study.

  7. WaterTransport in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing and Design Optimization

    SciTech Connect (OSTI)

    J. Vernon Cole; Abhra Roy; Ashok Damle; Hari Dahr; Sanjiv Kumar; Kunal Jain; Ned Djilai

    2012-10-02T23:59:59.000Z

    Water management in Proton Exchange Membrane, PEM, Fuel Cells is challenging because of the inherent conflicts between the requirements for efficient low and high power operation. Particularly at low powers, adequate water must be supplied to sufficiently humidify the membrane or protons will not move through it adequately and resistance losses will decrease the cell efficiency. At high power density operation, more water is produced at the cathode than is necessary for membrane hydration. This excess water must be removed effectively or it will accumulate in the Gas Diffusion Layers, GDLs, between the gas channels and catalysts, blocking diffusion paths for reactants to reach the catalysts and potentially flooding the electrode. As power density of the cells is increased, the challenges arising from water management are expected to become more difficult to overcome simply due to the increased rate of liquid water generation relative to fuel cell volume. Thus, effectively addressing water management based issues is a key challenge in successful application of PEMFC systems. In this project, CFDRC and our partners used a combination of experimental characterization, controlled experimental studies of important processes governing how water moves through the fuel cell materials, and detailed models and simulations to improve understanding of water management in operating hydrogen PEM fuel cells. The characterization studies provided key data that is used as inputs to all state-of-the-art models for commercially important GDL materials. Experimental studies and microscopic scale models of how water moves through the GDLs showed that the water follows preferential paths, not branching like a river, as it moves toward the surface of the material. Experimental studies and detailed models of water and airflow in fuel cells channels demonstrated that such models can be used as an effective design tool to reduce operating pressure drop in the channels and the associated costs and weight of blowers and pumps to force air and hydrogen gas through the fuel cell. Promising improvements to materials structure and surface treatments that can potentially aid in managing the distribution and removal of liquid water were developed; and improved steady-state and freeze-thaw performance was demonstrated for a fuel cell stack under the self-humidified operating conditions that are promising for stationary power generation with reduced operating costs.

  8. Control and optimization system

    DOE Patents [OSTI]

    Xinsheng, Lou

    2013-02-12T23:59:59.000Z

    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.

  9. 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

  10. Modeling and Optimization of Direct Chill Casting to Reduce Ingot Cracking

    SciTech Connect (OSTI)

    Das, S.K.; Ningileri, S.; Long, Z.; Saito, K.; Khraisheh, M.; Hassan, M.H.; Kuwana, K.; Han, Q.; Viswanathan, S.; Sabau, A.S.; Clark, J.; Hyrn, J. (ANL)

    2006-08-15T23:59:59.000Z

    Approximately 68% of the aluminum produced in the United States is first cast into ingots prior to further processing into sheet, plate, extrusions, or foil. The direct chill (DC) semi-continuous casting process has been the mainstay of the aluminum industry for the production of ingots due largely to its robust nature and relative simplicity. Though the basic process of DC casting is in principle straightforward, the interaction of process parameters with heat extraction, microstructural evolution, and development of solidification stresses is too complex to analyze by intuition or practical experience. One issue in DC casting is the formation of stress cracks [1-15]. In particular, the move toward larger ingot cross-sections, the use of higher casting speeds, and an ever-increasing array of mold technologies have increased industry efficiencies but have made it more difficult to predict the occurrence of stress crack defects. The Aluminum Industry Technology Roadmap [16] has recognized the challenges inherent in the DC casting process and the control of stress cracks and selected the development of 'fundamental information on solidification of alloys to predict microstructure, surface properties, and stresses and strains' as a high-priority research need, and the 'lack of understanding of mechanisms of cracking as a function of alloy' and 'insufficient understanding of the aluminum solidification process', which is 'difficult to model', as technology barriers in aluminum casting processes. The goal of this Aluminum Industry of the Future (IOF) project was to assist the aluminum industry in reducing the incidence of stress cracks from the current level of 5% to 2%. Decreasing stress crack incidence is important for improving product quality and consistency as well as for saving resources and energy, since considerable amounts of cast metal could be saved by eliminating ingot cracking, by reducing the scalping thickness of the ingot before rolling, and by eliminating butt sawing. Full-scale industrial implementation of the results of the proposed research would lead to energy savings in excess of 6 trillion Btu by the year 2020. The research undertaken in this project aimed to achieve this objective by a collaboration of industry, university, and national laboratory personnel through Secat, Inc., a consortium of aluminum companies. During the four-year project, the industrial partners and the research team met in 16 quarterly meetings to discuss research results and research direction. The industrial partners provided guidance, facilities, and experience to the research team. The research team went to two industrial plants to measure temperature distributions in commercial 60,000-lb DC casting ingot production. The project focused on the development of a fundamental understanding of ingot cracking and detailed models of thermal conditions, solidification, microstructural evolution, and stress development during the initial transient in DC castings of the aluminum alloys 3004 and 5182. The microstructure of the DC casting ingots was systematically characterized. Carefully designed experiments were carried out at the national laboratory and university facilities as well as at the industrial locations using the industrial production facilities. The advanced computational capabilities of the national laboratories were used for thermodynamic and kinetic simulations of phase transformation, heat transfer and fluid flow, solidification, and stress-strain evolution during DC casting. The achievements of the project are the following: (1) Identified the nature of crack formation during DC casting; (2) Developed a novel method for determining the mechanical properties of an alloy at the nonequilibrium mushy zone of the alloy; (3) Measured heat transfer coefficients (HTCs) between the solidifying ingot and the cooling water jet; (4) Determined the material constitutive model at high temperatures; and (5) Developed computational capabilities for the simulation of cracking formation in DC casting ingot. The models and the database de

  11. An optimization model for strategic supply chain design under stochastic capacity disruptions

    E-Print Network [OSTI]

    Luna Coronado, Jaime

    2008-10-10T23:59:59.000Z

    n e n t S u p p l i e r D i v e rs i f i c a t i o n O rde r 1 3 2 . 6 % 65 2 4 3 . 6 % 87 3 2 3 . 7 % 47 1 5 0 . 3 % 101 2 4 9 . 7 % 99 3 0 . 0 % 0 1 7 0 . 0 % 140 2 1 5 . 0 % 30 3 1 5 . 0 % 30 1 2 F i n a l A s s e m b l y Table 4 Example... the spreadsheet implementation of this model. I would like to thank Dr. Guy L. Curry and the rest of the faculty and staff in the Industrial and Systems Engineering Department at Texas A&M University, who provided me with the most invaluable knowledge I...

  12. An optimization model for strategic supply chain design under stochastic capacity disruptions

    E-Print Network [OSTI]

    Luna Coronado, Jaime

    2009-05-15T23:59:59.000Z

    n e n t S u p p l i e r D i v e rs i f i c a t i o n O rde r 1 3 2 . 6 % 65 2 4 3 . 6 % 87 3 2 3 . 7 % 47 1 5 0 . 3 % 101 2 4 9 . 7 % 99 3 0 . 0 % 0 1 7 0 . 0 % 140 2 1 5 . 0 % 30 3 1 5 . 0 % 30 1 2 F i n a l A s s e m b l y Table 4 Example... the spreadsheet implementation of this model. I would like to thank Dr. Guy L. Curry and the rest of the faculty and staff in the Industrial and Systems Engineering Department at Texas A&M University, who provided me with the most invaluable knowledge I...

  13. A fluctuational electrodynamics model for the optimization of light-extraction efficiency in thin-film light-emitting diodes

    SciTech Connect (OSTI)

    Heikkilä, Oskari, E-mail: oskari.heikkila@aalto.fi; Oksanen, Jani; Tulkki, Jukka [Department of Biomedical Engineering and Computational Science, Aalto University, Helsinki (Finland)

    2013-12-14T23:59:59.000Z

    The rapid development of thin film light-emitting diodes (LEDs) has enabled the enhancement of the light extraction beyond geometrical limits but more quantitative understanding of the underlying optical processes is required to fully optimize the extraction. We present first-principle calculations of the light extraction efficiency and optical energy flow in thin-film LEDs. The presented model generalizes the methods of fluctuational electrodynamics to excited semiconductors and simultaneously accounts for wave optical effects, e.g., interference and near-field coupling as well as the internal absorption of the light-emitting material in determining the rate of light emission and internal dissipation in the optical cavity formed by a planar LED. The calculations show that in structures with a metallic mirror, the emissivity of the active region can approach unity at selected wavelengths, even when the nominal emissivity of the active region is only moderate. However, the results also show that near-field coupling of emission from the active region to the mirror can provide a substantial non-radiative loss channel reducing the maximum light extraction efficiency to 0.67 in our example setup. These losses can be partly compensated by the efficient photon recycling enabled by thick active regions that quench emission to confined modes and thereby reduce parasitic absorption.

  14. Mathematical Model for the Optimal Utilization Percentile in M/M/1 Systems: A Contribution about Knees in Performance Curves

    E-Print Network [OSTI]

    Gonzalez-Horta, Francisco A; Ramirez-Cortes, Juan M; Martinez-Carballido, Jorge; Buenfil-Alpuche, Eldamira

    2011-01-01T23:59:59.000Z

    Performance curves of queueing systems can be analyzed by separating them into three regions: the flat region, the knee region, and the exponential region. Practical considerations, usually locate the knee region between 70-90% of the theoretical maximum utilization. However, there is not a clear agreement about where the boundaries between regions are, and where exactly the utilization knee is located. An open debate about knees in performance curves was undertaken at least 20 years ago. This historical debate is mainly divided between those who claim that a knee in the curve is not a well defined term in mathematics, or it is a subjective and not really meaningful concept, and those who define knees mathematically and consider their relevance and application. In this paper, we present a mathematical model and analysis for identifying the three mentioned regions on performance curves for M/M/1 systems; specifically, we found the knees, or optimal utilization percentiles, at the vertices of the hyperbolas tha...

  15. A Jackson Network Model and Threshold Policy for Joint Optimization of Energy and Delay in Multi-Hop

    E-Print Network [OSTI]

    Shihada, Basem

    of energy and delay in a multi- hop wireless network. The optimization variables are the transmission rates, transmit with the maximal rate (power); otherwise, no transmission. With these optimality properties of wireless networks since most of the mobile end users are powered by battery (Montemanni et al., 2008

  16. CONTROL AND OPTIMIZATION SPRING 2012

    E-Print Network [OSTI]

    on control of dynamical systems, linear and nonlinear least squares optimization, model-based estimation, and optimal control. We mostly restrict our study to linear, time-invariant control systems. Introductory optimiza- tion, optimal control, Kalman filters, Bayesian estimation. Prerequisites. Linear algebra

  17. Geospatial Toolkit Help October 2010

    E-Print Network [OSTI]

    is integrated with HOMER, a power system simulation and optimization model, originally developed at NREL a saved query, 26 Remove a query, 26 Troubleshoot a query, 27 Renewable resource data, 28 Geographic toolkit data in your own GIS, 36 File format reference, 37 Glossary, 37 © 2010 National Renewable

  18. Optimization Online - Enter Your Password to Continue

    E-Print Network [OSTI]

    Update Entry. Optimization Models for Differentiating Quality of Service Levels in Probabilistic Network Capacity Design Problems. Enter the Article Password:.

  19. Optimization 1-1 Convex Optimization & Duality

    E-Print Network [OSTI]

    Fan, Xingzhe

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

  20. Stochastic Optimization of Complex Systems

    SciTech Connect (OSTI)

    Birge, John R. [University of Chicago

    2014-03-20T23:59:59.000Z

    This project focused on methodologies for the solution of stochastic optimization problems based on relaxation and penalty methods, Monte Carlo simulation, parallel processing, and inverse optimization. The main results of the project were the development of a convergent method for the solution of models that include expectation constraints as in equilibrium models, improvement of Monte Carlo convergence through the use of a new method of sample batch optimization, the development of new parallel processing methods for stochastic unit commitment models, and the development of improved methods in combination with parallel processing for incorporating automatic differentiation methods into optimization.

  1. The Humour of Homer Samuel Butler

    E-Print Network [OSTI]

    Doyle, Peter

    not conceal another that was nearer the poet's heart-- I mean the last days, death, and burial of Hector the Iliadto be entirely by a single poet. The second poem commonly ascribed to the same author is called to the poet--generally more so; and unfortunately he always thinks it more or less his business to set

  2. Wind and time in Homeric epic

    E-Print Network [OSTI]

    Purves, AC

    2010-01-01T23:59:59.000Z

    tradition. the intertextual force of wind In book 20 of thein the Iliad, the force of the wind in the simile indicatesharnesses the symbolic force of these winds in an explicit

  3. Homer and the art of overtaking

    E-Print Network [OSTI]

    Purves, AC

    2011-01-01T23:59:59.000Z

    Polydorus (the fastest of Priam’s sons), and numerous otherin the funeral games that Priam had set up for him, beforethe return of the body to Priam. There, as with the race out

  4. Falling into time in Homer's 'Iliad'

    E-Print Network [OSTI]

    Purves, A

    2006-01-01T23:59:59.000Z

    of mankind. 1 By contrast, Apollo makes the point clearly in25 / No. 1 / April 2006 Apollo now struck away from his [divine experience of time, as Apollo explains to Ares in his

  5. Homer and the art of overtaking

    E-Print Network [OSTI]

    Purves, AC

    2011-01-01T23:59:59.000Z

    even able to keep pace with Apollo (21.600–605): The strikerin front; with the trick Apollo beguiled him so that heAchilles and Hector, as if Apollo were standing in not only

  6. Homer Electric Assn Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | Open EnergyInformation HessHirschmannScoring Tool Jump

  7. Optimal Real-time Dispatch for Integrated Energy Systems

    E-Print Network [OSTI]

    Firestone, Ryan Michael

    2007-01-01T23:59:59.000Z

    Hybrid Optimization Model for Electric Renewables heating, ventilation, and air conditioning integrated energy system

  8. OPTIMIZATION TOPICS LIST Revised April 2012

    E-Print Network [OSTI]

    Radeloff, Volker C.

    1 OPTIMIZATION TOPICS LIST Revised April 2012 For Fall 2012 and Spring 2013 we will adopt. Bertsimas and J. Tsitsiklis, Introduction to Linear Optimization, Athena Scientific, 1997 2. M. C. Ferris, O and mixed integer models · Existence of optimal solutions, optimality conditions · Branch and bound methods

  9. Optimization in Networks

    E-Print Network [OSTI]

    Adilson E. Motter; Zoltan Toroczkai

    2007-07-07T23:59:59.000Z

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

  10. Direct optimization overly optimizes data Kazunori Yoshizawa

    E-Print Network [OSTI]

    Yoshizawa, Kazunori

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

  11. Multiperiod Refinery Planning Optimization

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Multiperiod Refinery Planning Optimization with Nonlinear CDU Models Abdulrahman Alattas, Advisor #12;Refinery Planning Model Development 2 Extension to Multiperiod Planning #12;3 Multiperiod Refinery: refinery configuration Determine · What crude oil to process and in which time period? · The quantities

  12. Optimization of Heat Exchangers

    SciTech Connect (OSTI)

    Ivan Catton

    2010-10-01T23:59:59.000Z

    The objective of this research is to develop tools to design and optimize heat exchangers (HE) and compact heat exchangers (CHE) for intermediate loop heat transport systems found in the very high temperature reator (VHTR) and other Generation IV designs by addressing heat transfer surface augmentation and conjugate modeling. To optimize heat exchanger, a fast running model must be created that will allow for multiple designs to be compared quickly. To model a heat exchanger, volume averaging theory, VAT, is used. VAT allows for the conservation of mass, momentum and energy to be solved for point by point in a 3 dimensional computer model of a heat exchanger. The end product of this project is a computer code that can predict an optimal configuration for a heat exchanger given only a few constraints (input fluids, size, cost, etc.). As VAT computer code can be used to model characteristics )pumping power, temperatures, and cost) of heat exchangers more quickly than traditional CFD or experiment, optimization of every geometric parameter simultaneously can be made. Using design of experiment, DOE and genetric algorithms, GE, to optimize the results of the computer code will improve heat exchanger disign.

  13. Construction of Energy Functions for Lattice Heteropolymer Models: A Case Study in Constraint Satisfaction Programming and Adiabatic Quantum Optimization

    E-Print Network [OSTI]

    Ryan Babbush; Alejandro Perdomo-Ortiz; Bryan O'Gorman; William Macready; Alán Aspuru-Guzik

    2013-06-11T23:59:59.000Z

    Optimization problems associated with the interaction of linked particles are at the heart of polymer science, protein folding and other important problems in the physical sciences. In this review we explain how to recast these problems as constraint satisfaction problems such as linear programming, maximum satisfiability, and pseudo-boolean optimization. By encoding problems this way, one can leverage substantial insight and powerful solvers from the computer science community which studies constraint programming for diverse applications such as logistics, scheduling, artificial intelligence, and circuit design. We demonstrate how to constrain and embed lattice heteropolymer problems using several strategies. Each strikes a unique balance between number of constraints, complexity of constraints, and number of variables. Finally, we show how to reduce the locality of couplings in these energy functions so they can be realized as Hamiltonians on existing quantum annealing machines. We intend that this review be used as a case study for encoding related combinatorial optimization problems in a form suitable for adiabatic quantum optimization.

  14. ACCEPTED TO IEEE TRANS. POWER SYSTEMS, APRIL 2011. 1 Abstract In this paper, an optimization model and techniques

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    on initial investment [years] Investment period [years] Plant useful life [years] Solar PV module area [m2 generation capacity accounts for 525 MW [2]. The current world's largest solar PV power plant in large-scale solar photovoltaic (PV) generation projects are proposed and discussed. The optimal set

  15. Robust optimization based self scheduling of hydro-thermal Genco ...

    E-Print Network [OSTI]

    Alireza Soroudi

    2013-12-29T23:59:59.000Z

    Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed ...

  16. advanced optimal traffic: Topics by E-print Network

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

    the physical Internet we propose a general model of transportation networks via an optimization principle. The optimal network turns out to be a spanning tree that minimizes a...

  17. Optimal refrigerator

    E-Print Network [OSTI]

    Armen E. Allahverdyan; Karen Hovhannisyan; Guenter Mahler

    2010-07-25T23:59:59.000Z

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

  18. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

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

  19. Nuclear Energy Density Optimization

    E-Print Network [OSTI]

    M. Kortelainen; T. Lesinski; J. Moré; W. Nazarewicz; J. Sarich; N. Schunck; M. V. Stoitsov; S. Wild

    2010-05-27T23:59:59.000Z

    We carry out state-of-the-art optimization of a nuclear energy density of Skyrme type in the framework of the Hartree-Fock-Bogoliubov (HFB) theory. The particle-hole and particle-particle channels are optimized simultaneously, and the experimental data set includes both spherical and deformed nuclei. The new model-based, derivative-free optimization algorithm used in this work has been found to be significantly better than standard optimization methods in terms of reliability, speed, accuracy, and precision. The resulting parameter set UNEDFpre results in good agreement with experimental masses, radii, and deformations and seems to be free of finite-size instabilities. An estimate of the reliability of the obtained parameterization is given, based on standard statistical methods. We discuss new physics insights offered by the advanced covariance analysis.

  20. Optimization algorithms for new computer architectures with applications to personnel-assignment models. Annual report (Final), 1 May 1988-30 April 1989

    SciTech Connect (OSTI)

    Kennington, J.L.; Helgason, R.V.

    1989-06-29T23:59:59.000Z

    One of the most important computer architecture innovations to appear in the marketplace during the last ten years is parallel processing on a shared memory multicomputer. This report presents empirical results on a Sequent Symmetry S81 on four optimization models used in the area of personnel assignment. Both the detailed algorithms and computational results are presented. Contents: Minimal Spanning Trees - An Empirical Investigation of Parallel Algorithms; Dijkstra's Two-tree Shortest Path Algorithm; An Empirical Analysis of the Dense Assignment Problem; and Solving Generalized Network Problems on a Shared Memory Multiprocessor.

  1. Dynamic programming approach to adjustable robust optimization

    E-Print Network [OSTI]

    2010-12-27T23:59:59.000Z

    inventory model and show that, similar to the risk neutral case, a basestock ... In the last ten years Robust Optimization has become a viable tool in dealing with ... concepts from probability theory and functional analysis. ... optimization (

  2. Comments on “Dual Methods for Nonconvex Spectrum Optimization ...

    E-Print Network [OSTI]

    2007-07-05T23:59:59.000Z

    Jul 5, 2007 ... Optimization of Multicarrier Systems”. Tamás Terlaky. ? ... optimization model for the multiuser power control optimization problem, and derived a strong duality ... system and the number of frequency carriers, respectively.

  3. Optimization Online - Optimizing Preventive Maintenance Models

    E-Print Network [OSTI]

    Michael Bartholomew-Biggs

    2004-06-29T23:59:59.000Z

    Jun 29, 2004 ... Abstract: We deal with the problem of scheduling preventive maintenance (PM) by minimizing a performance function which reflects repair and ...

  4. Fuzzy logic controller optimization

    DOE Patents [OSTI]

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

    2004-03-23T23:59:59.000Z

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

  5. Optimization Online - Nonlinear Optimization Submissions - 2012

    E-Print Network [OSTI]

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

  6. Optimization Online - Nonlinear Optimization Submissions - 2003

    E-Print Network [OSTI]

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

  7. Optimization Online - Nonlinear Optimization Submissions - 2001

    E-Print Network [OSTI]

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

  8. Optimization Online - Global Optimization Submissions - 2007

    E-Print Network [OSTI]

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

  9. Optimization Online - Global Optimization Submissions - 2001

    E-Print Network [OSTI]

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

  10. Optimization Online - Nonlinear Optimization Submissions - 2000

    E-Print Network [OSTI]

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

  11. Optimization Online - Combinatorial Optimization Submissions - 2002

    E-Print Network [OSTI]

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

  12. Heat pump simulation model and optimal variable-speed control for a wide range of cooling conditions

    E-Print Network [OSTI]

    Zakula, Tea

    2010-01-01T23:59:59.000Z

    The steady-state air-to-air heat pump model presented in this thesis was developed from the first principles. The main objective was to develop a heat pump model that can be used as a part of larger simulation models, and ...

  13. Discrete-Time Pricing and Optimal Exercise of American Perpetual Warrants in the Geometric Random Walk Model

    SciTech Connect (OSTI)

    Vanderbei, Robert J., E-mail: rvdb@princeton.edu [Princeton University, Department of Operations Research and Financial Engineering (United States); P Latin-Small-Letter-Dotless-I nar, Mustafa C., E-mail: mustafap@bilkent.edu.tr [Bilkent University, Department of Industrial Engineering (Turkey); Bozkaya, Efe B. [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)] [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)

    2013-02-15T23:59:59.000Z

    An American option (or, warrant) is the right, but not the obligation, to purchase or sell an underlying equity at any time up to a predetermined expiration date for a predetermined amount. A perpetual American option differs from a plain American option in that it does not expire. In this study, we solve the optimal stopping problem of a perpetual American option (both call and put) in discrete time using linear programming duality. Under the assumption that the underlying stock price follows a discrete time and discrete state Markov process, namely a geometric random walk, we formulate the pricing problem as an infinite dimensional linear programming (LP) problem using the excessive-majorant property of the value function. This formulation allows us to solve complementary slackness conditions in closed-form, revealing an optimal stopping strategy which highlights the set of stock-prices where the option should be exercised. The analysis for the call option reveals that such a critical value exists only in some cases, depending on a combination of state-transition probabilities and the economic discount factor (i.e., the prevailing interest rate) whereas it ceases to be an issue for the put.

  14. Expert system support of a heat transfer model to optimize soot blowing - A case study at Delmarva`s Edge Moor Unit No. 5

    SciTech Connect (OSTI)

    Nasal, J.R.; Deaver, R.

    1995-12-31T23:59:59.000Z

    In response to an increasing demand for operational tools that benefit both efficiency and environmental compliance, General Physics Corporation (GP) has developed and installed a unique aid to optimize sootblowing at Delmarva Power`s Edge Moor Unit No. 5. By combining expert system techniques with a rigorous mathematical model, a robust and reliable indication of boiler section(s) cleanliness is graphically presented to the control room operators on a minute-to-minute basis. The overall approach used in the heat transfer model is based upon technology developed in the former Soviet Union while the expert system component acts as an independent {open_quotes}cross-check{close_quotes} of the values calculated in the math model. This paper presents an overview of the general engineering approach used in developing the boiler cleanliness module as an integral part of a power plant`s performance monitoring system. It includes graphical displays of the user interface and describes the concepts behind the heat transfer model as well as typical expert system rules used to verify the accuracy of the model. The paper concludes with {open_quotes}lessons learned{close_quotes} and a comparison of empirical data versus calculated cleanliness values for the various boiler sections over a wide capacity range of the boiler.

  15. Expert system support of a heat transfer model to optimize soot blowing - a case study at Delmarva`s Edge Moor Unit No. 5

    SciTech Connect (OSTI)

    Nasal, J.R.; DesJardins, R.R.; Deaver, R.

    1996-05-01T23:59:59.000Z

    In response to an increasing demand for operational tools that benefit both efficiency and environmental compliance, General Physics Corporation (GP) has developed and installed a unique aid to optimize sootblowing at Delmarva Power`s Edge Moor Unit No. 5. By combining expert system techniques with a rigorous mathematical model, a robust and reliable indication of boiler section(s) cleanliness is graphically presented to the control room operators on a minute-to-minute basis. The overall approach used in the heat transfer model is based upon technology developed in the former Soviet Union while the expert system component acts as an independent {open_quotes}cross-check{close_quotes} of the values calculated in the math model. This paper presents an overview of the general engineering approach used in developing the boiler cleanliness module as an integral part of a power plant`s, performance monitoring system. It includes graphical displays of the user interface and describes the concepts behind the heat transfer model as well as typical expert system rules used to verify the accuracy of the model. The paper concludes with {open_quotes}lessons learned{close_quotes} and a comparison of empirical data versus calculated cleanliness values for the various boiler sections over a wide capacity range of the boiler.

  16. Optimization and integration of renewable energy sources on a community scale using Artificial Neural Networks and Genetic Algorithms

    E-Print Network [OSTI]

    Davis, Bron

    2011-01-01T23:59:59.000Z

    building design optimization." Building and Environment (programming model for optimization of the electrical energySimulated Evolutionary Optimization." IEEE TRANSACTIONS ON

  17. The Hydrogen Infrastructure Transition Model (HIT) & Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing

    E-Print Network [OSTI]

    Lin, Zhenhong; Ogden, J; Fan, Yueyue; Sperling, Dan

    2006-01-01T23:59:59.000Z

    Zoia (2005). "Hydrogen infrastructure strategic planningITS—RR—06—05 The Hydrogen Infrastructure Transition Model (a 50-year Hydrogen Infrastructure for Urban Beijing Zhenhong

  18. The Hydrogen Infrastructure Transition (HIT) Model and Its Application in Optimizing a 50-year Hydrogen Infrastructure for Urban Beijing

    E-Print Network [OSTI]

    Lin, Zhenhong; Ogden, Joan M; Fan, Yueyue; Sperling, Dan

    2006-01-01T23:59:59.000Z

    Zoia (2005). "Hydrogen infrastructure strategic planningITS—RR—06—05 The Hydrogen Infrastructure Transition Model (a 50-year Hydrogen Infrastructure for Urban Beijing Zhenhong

  19. Optimizing Profits from Hydroelectricity Production

    E-Print Network [OSTI]

    Potvin, Jean-Yves

    Optimizing Profits from Hydroelectricity Production Daniel De Ladurantaye Michel Gendreau Jean the profits obtained by the stochastic model. Keywords: Hydroelectricity, electricity market, prices, dams countries deregulate their electricity market, new challenges appear for hydroelectricity producers

  20. Optimization Online Digest -- March 2008

    E-Print Network [OSTI]

    Tractable Robust Expected Utility and Risk Models for Portfolio Optimization ... of a semidefinite programming solver based on CSDP on a distributed memory cluster ... Epi-convergent Scenario Generation Method for Stochastic Problems via ...

  1. Optimization as an Internet Resource

    E-Print Network [OSTI]

    2000-08-17T23:59:59.000Z

    specialized to many different mathematical problem types, and modeling systems ..... To use iMW for a particular optimization method applied to a particular problem, ..... puting applications,” Department of Electrical and Computer Engineering, ...

  2. Novel attributes in modeling and optimizing of the new graphene based In{sub x}Ga{sub 1?x}N Schottky barrier solar cells

    SciTech Connect (OSTI)

    Arefinia, Zahra [Research Institute for Applied Physics and Astronomy, University of Tabriz, Tabriz 51666-14766 (Iran, Islamic Republic of); Asgari, Asghar, E-mail: asgari@tabrizu.ac.ir [Research Institute for Applied Physics and Astronomy, University of Tabriz, Tabriz 51666-14766 (Iran, Islamic Republic of); School of Electrical, Electronic, and Computer Engineering, University of Western Australia, Crawley, WA 6009 (Australia)

    2014-05-21T23:59:59.000Z

    Based on the ability of In{sub x}Ga{sub 1?x}N materials to optimally span the solar spectrum and their superior radiation resistance, solar cells based on p-type In{sub x}Ga{sub 1?x}N with low indium contents and interfacing with graphene film (G/In{sub x}Ga{sub 1?x}N), is proposed to exploit the benefit of transparency and work function tunability of graphene. Then, their solar power conversion efficiency modeled and optimized using a new analytical approach taking into account all recombination processes and accurate carrier mobility. Furthermore, their performance was compared with graphene on silicon counterparts and G/p-In{sub x}Ga{sub 1?x}N showed relatively smaller short-circuits current (?7?mA/cm{sup 2}) and significantly higher open-circuit voltage (?4?V) and efficiency (?30%). The thickness, doping concentration, and indium contents of p-In{sub x}Ga{sub 1?x}N and graphene work function were found to substantially affect the performance of G/p-In{sub x}Ga{sub 1?x}N.

  3. Optimal Power Dispatch via Multistage Stochastic Programming

    E-Print Network [OSTI]

    Römisch, Werner

    Mathematical models for cost-optimal power scheduling in hydro-thermal systems often combine several di cultiesOptimal Power Dispatch via Multistage Stochastic Programming M.P. Nowak1 and W. Romisch1 Abstract. The short-term cost-optimal dispatch of electric power in a generation sys- tem under uncertain electricity

  4. Vehicle Technologies and Bus Fleet Replacement Optimization

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  5. CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS

    E-Print Network [OSTI]

    Jutan, Arthur

    CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS Xiangming Hua, Sohrab Rohani and Arthur Jutan ajutan@uwo.ca Abstract: In this study, a cascade closed-loop optimization and control strategy for batch reactor. Using model reduction a cascade system is developed, which can effectively combine optimization

  6. ONLINE OPTIMIZATION AND SELECTION OF MEASUREMENTS

    E-Print Network [OSTI]

    Skogestad, Sigurd

    117 Chapter 7 ON­LINE OPTIMIZATION AND SELECTION OF MEASUREMENTS This is the last of three chapters that discuss optimal operation of a general heat exchanger network. A method that combines the use of steady state optimization and decentralized feedback control is proposed. A general steady state model

  7. Interconnection networks synthesis and optimization

    E-Print Network [OSTI]

    Zhu, Yi

    2008-01-01T23:59:59.000Z

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

  8. OPTIMIZING GEO-CELLULAR RESERVOIR MODELING IN A BRAIDED RIVER INCISED VALLEY FILL: POSTLE FIELD, TEXAS COUNTY, OKLAHOMA

    E-Print Network [OSTI]

    , TEXAS COUNTY, OKLAHOMA by Tiffany Dawn Jobe #12;#12;ABSTRACT Reservoir characterization, modeling Field is a mature oil and gas field in Texas County, Oklahoma which produces from Pennsylvanian valley

  9. Optimizing performance of ceramic pot filters in Northern Ghana and modeling flow through paraboloid-shaped filters/

    E-Print Network [OSTI]

    Miller, Travis Reed

    2010-01-01T23:59:59.000Z

    This work aimed to inform the design of ceramic pot filters to be manufactured by the organization Pure Home Water (PHW) in Northern Ghana, and to model the flow through an innovative paraboloid-shaped ceramic pot filter. ...

  10. Fuzzy Optimality and Evolutionary Multiobjective Optimization

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

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

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

    E-Print Network [OSTI]

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

  12. The optimal harvesting problem with price uncertainty

    E-Print Network [OSTI]

    2011-07-01T23:59:59.000Z

    Jul 1, 2011 ... Abstract. In this paper we study the exploitation of a one species forest plan- ...... Optimal harvesting models in forest management – a survey.

  13. Optimization Online - All Areas Submissions - November 2013

    E-Print Network [OSTI]

    Variational analysis in psychological modeling T.Q. Bao ... Derivative-free Robust Optimization for Circuit Design ... Linear, Cone and Semidefinite Programming

  14. NET - Optimization Online

    E-Print Network [OSTI]

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

  15. FTN4 OPTIMIZATION TECHNIQUES.

    E-Print Network [OSTI]

    Authors, Various

    2012-01-01T23:59:59.000Z

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

  16. Optimized Wang-Landau sampling of lattice polymers: Ground state search and folding thermodynamics of HP model proteins

    E-Print Network [OSTI]

    Thomas Wüst; David P. Landau

    2012-07-17T23:59:59.000Z

    Coarse-grained (lattice-) models have a long tradition in aiding efforts to decipher the physical or biological complexity of proteins. Despite the simplicity of these models, however, numerical simulations are often computationally very demanding and the quest for efficient algorithms is as old as the models themselves. Expanding on our previous work [T. W\\"ust and D. P. Landau, Phys. Rev. Lett. 102, 178101 (2009)], we present a complete picture of a Monte Carlo method based on Wang-Landau sampling in combination with efficient trial moves (pull, bond-rebridging and pivot moves) which is particularly suited to the study of models such as the hydrophobic-polar (HP) lattice model of protein folding. With this generic and fully blind Monte Carlo procedure, all currently known putative ground states for the most difficult benchmark HP sequences could be found. For most sequences we could also determine the entire energy density of states and, together with suitably designed structural observables, explore the thermodynamics and intricate folding behavior in the virtually inaccessible low-temperature regime. We analyze the differences between random and protein-like heteropolymers for sequence lengths up to 500 residues. Our approach is powerful both in terms of robustness and speed, yet flexible and simple enough for the study of many related problems in protein folding.

  17. Kinetic and Performance Studies of the Regeneration Phase of Model Pt/Ba/Rh NOx Traps for Design and Optimization

    SciTech Connect (OSTI)

    Michael Harold; Vemuri Balakotaiah

    2010-05-31T23:59:59.000Z

    In this project a combined experimental and theoretical approach was taken to advance our understanding of lean NOx trap (LNT) technology. Fundamental kinetics studies were carried out of model LNT catalysts containing variable loadings of precious metals (Pt, Rh), and storage components (BaO, CeO{sub 2}). The Temporal Analysis of Products (TAP) reactor provided transient data under well-characterized conditions for both powder and monolith catalysts, enabling the identification of key reaction pathways and estimation of the corresponding kinetic parameters. The performance of model NOx storage and reduction (NSR) monolith catalysts were evaluated in a bench scale NOx trap using synthetic exhaust, with attention placed on the effect of the pulse timing and composition on the instantaneous and cycle-averaged product distributions. From these experiments we formulated a global model that predicts the main spatio-temporal features of the LNT and a mechanistic-based microkinetic models that incorporates a detailed understanding of the chemistry and predicts more detailed selectivity features of the LNT. The NOx trap models were used to determine its ability to simulate bench-scale data and ultimately to evaluate alternative LNT designs and operating strategies. The four-year project led to the training of several doctoral students and the dissemination of the findings as 47 presentations in conferences, catalysis societies, and academic departments as well 23 manuscripts in peer-reviewed journals. A condensed review of NOx storage and reduction was published in an encyclopedia of technology.

  18. Optimized Wang-Landau sampling of lattice polymers: Ground state search and folding thermodynamics of HP model proteins

    E-Print Network [OSTI]

    Wüst, Thomas

    2012-01-01T23:59:59.000Z

    Coarse-grained (lattice-) models have a long tradition in aiding efforts to decipher the physical or biological complexity of proteins. Despite the simplicity of these models, however, numerical simulations are often computationally very demanding and the quest for efficient algorithms is as old as the models themselves. Expanding on our previous work [T. W\\"ust and D. P. Landau, Phys. Rev. Lett. 102, 178101 (2009)], we present a complete picture of a Monte Carlo method based on Wang-Landau sampling in combination with efficient trial moves (pull, bond-rebridging and pivot moves) which is particularly suited to the study of models such as the hydrophobic-polar (HP) lattice model of protein folding. With this generic and fully blind Monte Carlo procedure, all currently known putative ground states for the most difficult benchmark HP sequences could be found. For most sequences we could also determine the entire energy density of states and, together with suitably designed structural observables, explore the th...

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

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2008-01-01T23:59:59.000Z

    A.F. Burke, Modeling and Optimization of PEMFC Systems andPEM Fuel Cell System Optimization, Proceedings of the 2 ndof the fuel cell system optimization model Fig. 5 Flowchart

  20. Congrs Franais de Mcanique Bordeaux, 26 au 30 aot 2013 Characterization of an optimized model manufactured by

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    technologies emerged. The manufacturing by layers keeps a common characteristic and the additive manufacturing approach applied to additive manufacturing and a specific machine. We suggest to use the numerical model manufactured by rapid prototyping A. SCHNEIDER a , J. GARDAN b , N. GARDAN c a. URCA/IFTS ­ NUM3D

  1. International Conference on Experiments/Process/System Modelling/Simulation/Optimization 1 IC-EpsMsO

    E-Print Network [OSTI]

    Christakis, Nikolaos

    by operating conditions such as sliding speed and interface temperature for the titanium alloy Ti6Al4V behaviour, which depends on interface temperature, is used to model numerically the non-linear thermo-mechanical process of linear friction welding of Ti6Al4V. 1. FRICTION STUDIES ­ PAST AND PRESENT The movement

  2. Optimization Online - What Works Best When? A Framework for ...

    E-Print Network [OSTI]

    Iain Dunning

    2015-05-04T23:59:59.000Z

    May 4, 2015 ... ... are performed with an artificial, homogeneous set of problem instances. ... Category 2: Optimization Software and Modeling Systems ...

  3. Optimization Methods for Disease Prevention and Epidemic Control ...

    E-Print Network [OSTI]

    2013-09-29T23:59:59.000Z

    Department of Electrical Engineering and Computer Science, Vanderbilt University ... is to formulate mathematical optimization models, for identifying which ...

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

    E-Print Network [OSTI]

    Truong Xuan Duc Ha

    2010-08-02T23:59:59.000Z

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

  5. Optimization Online - Nonlinear Optimization Submissions - 2013

    E-Print Network [OSTI]

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

  6. Optimization Online - Nonlinear Optimization Submissions - 2014

    E-Print Network [OSTI]

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

  7. 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

  8. 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

  9. [SIAM conference on optimization

    SciTech Connect (OSTI)

    Not Available

    1992-05-10T23:59:59.000Z

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

  10. Proceedings of the Fourth Conference on Process Integration, Modeling, and Optimization for Energy Savings and Pollution Prevention (PRES'01), Ed. Jiri Klemes, p. 1-6, Italian Association of Chemical Engineers, AIDIC, Serizi

    E-Print Network [OSTI]

    Pike, Ralph W.

    and sustainable costs. Introduction The business focus of chemical companies has moved from a regional to a globalProceedings of the Fourth Conference on Process Integration, Modeling, and Optimization for Energy ON ECONOMIC, ENVIRONMENTAL AND SUSTAINABLE COSTS T. A. Hertwiga , A. Xub , A. B. Nagyc , R. W. Pikeb , J. R

  11. Modeling and Validation of Performance Limitations for the Optimal Design of Interferometric and Intensity-Modulated Fiber Optic Displacement Sensors

    SciTech Connect (OSTI)

    Moro, Erik A. [Los Alamos National Laboratory

    2012-06-07T23:59:59.000Z

    Optical fiber sensors offer advantages over traditional electromechanical sensors, making them particularly well-suited for certain measurement applications. Generally speaking, optical fiber sensors respond to a desired measurand through modulation of an optical signal's intensity, phase, or wavelength. Practically, non-contacting fiber optic displacement sensors are limited to intensity-modulated and interferometric (or phase-modulated) methodologies. Intensity-modulated fiber optic displacement sensors relate target displacement to a power measurement. The simplest intensity-modulated sensor architectures are not robust to environmental and hardware fluctuations, since such variability may cause changes in the measured power level that falsely indicate target displacement. Differential intensity-modulated sensors have been implemented, offering robustness to such intensity fluctuations, and the speed of these sensors is limited only by the combined speed of the photodetection hardware and the data acquisition system (kHz-MHz). The primary disadvantages of intensity-modulated sensing are the relatively low accuracy (?m-mm for low-power sensors) and the lack of robustness, which consequently must be designed, often with great difficulty, into the sensor's architecture. White light interferometric displacement sensors, on the other hand, offer increased accuracy and robustness. Unlike their monochromatic-interferometer counterparts, white light interferometric sensors offer absolute, unambiguous displacement measurements over large displacement ranges (cm for low-power, 5 mW, sources), necessitating no initial calibration, and requiring no environmental or feedback control. The primary disadvantage of white light interferometric displacement sensors is that their utility in dynamic testing scenarios is limited, both by hardware bandwidth and by their inherent high-sensitivity to Doppler-effects. The decision of whether to use either an intensity-modulated interferometric sensor depends on an appropriate performance function (e.g., desired displacement range, accuracy, robustness, etc.). In this dissertation, the performance limitations of a bundled differential intensity-modulated displacement sensor are analyzed, where the bundling configuration has been designed to optimize performance. The performance limitations of a white light Fabry-Perot displacement sensor are also analyzed. Both these sensors are non-contacting, but they have access to different regions of the performance-space. Further, both these sensors have different degrees of sensitivity to experimental uncertainty. Made in conjunction with careful analysis, the decision of which sensor to deploy need not be an uninformed one.

  12. 2006 - Optimization Online

    E-Print Network [OSTI]

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

  13. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  14. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  15. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  16. Optimization Online - Digest Archive

    E-Print Network [OSTI]

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

  17. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  18. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  19. Optimization Online - Coordinators

    E-Print Network [OSTI]

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

  20. OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING

    SciTech Connect (OSTI)

    Hector Colonmer; Prabhu Ganesan; Nalini Subramanian; Dr. Bala Haran; Dr. Ralph E. White; Dr. Branko N. Popov

    2002-09-01T23:59:59.000Z

    This project focused on addressing the two main problems associated with state of art Molten Carbonate Fuel Cells, namely loss of cathode active material and stainless steel current collector deterioration due to corrosion. We followed a dual approach where in the first case we developed novel materials to replace the cathode and current collector currently used in molten carbonate fuel cells. In the second case we improved the performance of conventional cathode and current collectors through surface modification. States of art NiO cathode in MCFC undergo dissolution in the cathode melt thereby limiting the lifetime of the cell. To prevent this we deposited cobalt using an electroless deposition process. We also coated perovskite (La{sub 0.8}Sr{sub 0.2}CoO{sub 3}) in NiO thorough a sol-gel process. The electrochemical oxidation behavior of Co and perovskites coated electrodes is similar to that of the bare NiO cathode. Co and perovskite coatings on the surface decrease the dissolution of Ni into the melt and thereby stabilize the cathode. Both, cobalt and provskites coated nickel oxide, show a higher polarization compared to that of nickel oxide, which could be due to the reduced surface area. Cobalt substituted lithium nickel oxide (LiNi{sub 0.8}Co{sub 0.2}O{sub 2}) and lithium cobalt oxide were also studied. LiNi{sub x}Co{sub 1-x}O{sub 2} was synthesized by solid-state reaction procedure using lithium nitrate, nickel hydroxide and cobalt oxalate precursor. LiNi{sub x}Co{sub 1-x}O{sub 2} showed smaller dissolution of nickel than state of art nickel oxide cathode. The performance was comparable to that of nickel oxide. The corrosion of the current collector in the cathode side was also studied. The corrosion characteristics of both SS304 and SS304 coated with Co-Ni alloy were studied. This study confirms that surface modification of SS304 leads to the formation of complex scales with better barrier properties and better electronic conductivity at 650 C. A three phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell cathode and the complete fuel cell. The homogeneous model is based on volume averaging of different variables in the three phases over a small volume element. This approach can be used to model porous electrodes as it represents the real system much better than the conventional agglomerate model. Using the homogeneous model the polarization characteristics of the MCFC cathode and fuel cell were studied under different operating conditions. Both the cathode and the full cell model give good fits to the experimental data.

  1. Genome-Based Models to Optimize In Situ Bioremediation of Uranium and Harvesting Electrical Energy from Waste Organic Matter

    SciTech Connect (OSTI)

    Lovley, Derek R

    2012-12-28T23:59:59.000Z

    The goal of this research was to provide computational tools to predictively model the behavior of two microbial communities of direct relevance to Department of Energy interests: 1) the microbial community responsible for in situ bioremediation of uranium in contaminated subsurface environments; and 2) the microbial community capable of harvesting electricity from waste organic matter and renewable biomass. During this project the concept of microbial electrosynthesis, a novel form of artificial photosynthesis for the direct production of fuels and other organic commodities from carbon dioxide and water was also developed and research was expanded into this area as well.

  2. Strong Equivalence of Qualitative Optimization Problems

    E-Print Network [OSTI]

    Faber, Wolfgang; Woltran, Stefan

    2011-01-01T23:59:59.000Z

    We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences on outcomes (the selector). We consider two types of optimization problems. They differ in the way the generator, which we model by a propositional theory, is interpreted: by the standard propositional logic semantics, and by the equilibrium-model (answer-set) semantics. Under the latter interpretation of generators, optimization problems directly generalize answer-set optimization programs proposed previously. We study strong equivalence of optimization problems, which guarantees their interchangeability within any larger context. We characterize several versions of strong equivalence obtained by restricting the class of optimization problems that can be used as extensions and establish the complexity of associated reasoning tasks. Understanding strong equiv...

  3. Design of nonlinear MPC by Kriging-based optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Design of nonlinear MPC by Kriging-based optimization Julien Marzat, Hélène Piet-Lahanier ONERA of Kriging as a surrogate model for optimization. This representation is able to address various optimization is reported to illustrate the resulting performance. Keywords: efficient global optimization, Gaussian process

  4. Optimization of thermal comfort in building through envelope design

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimization of thermal comfort in building through envelope design Milorad Bojia , Alexandre. The building is modeled in EnergyPlus software and HookeJeves optimization methodology. The investigated house optimizations are performed such as the optimization of the thickness of the concrete block layer, of the wood

  5. Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu

    E-Print Network [OSTI]

    Lavaei, Javad

    Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu January 1, 2013 1 Introduction of solar panel: Routing the configuration between solar cells with a switch matrix. However, their result models and control policies for the optimal output of solar panels. The smallest unit on a solar panel

  6. Optimal segmentation and packaging process

    DOE Patents [OSTI]

    Kostelnik, Kevin M. (Idaho Falls, ID); Meservey, Richard H. (Idaho Falls, ID); Landon, Mark D. (Idaho Falls, ID)

    1999-01-01T23:59:59.000Z

    A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D&D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded.

  7. 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

  8. Sootblowing optimization for improved boiler performance

    DOE Patents [OSTI]

    James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J.

    2012-12-25T23:59:59.000Z

    A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

  9. Sootblowing optimization for improved boiler performance

    DOE Patents [OSTI]

    James, John Robert; McDermott, John; Piche, Stephen; Pickard, Fred; Parikh, Neel J

    2013-07-30T23:59:59.000Z

    A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.

  10. Event-driven multithreaded dynamic optimization

    E-Print Network [OSTI]

    Zhang, Weifeng

    2006-01-01T23:59:59.000Z

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

  11. OPTIMIZATION OF THE CATHODE LONG-TERM STABILITY IN MOLTEN CARBONATE FUEL CELLS: EXPERIMENTAL STUDY AND MATHEMATICAL MODELING

    SciTech Connect (OSTI)

    Dr. Ralph E. White

    2000-09-30T23:59:59.000Z

    The dissolution of NiO cathodes during cell operation is a limiting factor to the successful commercialization of molten carbonate fuel cells (MCFCs). Microencapsulation of the NiO cathode has been adopted as a surface modification technique to increase the stability of NiO cathodes in the carbonate melt. The material used for surface modification should possess thermodynamic stability in the molten carbonate and also should be electro catalytically active for MCFC reactions. A simple first principles model was developed to understand the influence of exchange current density and conductivity of the electrode material on the polarization of MCFC cathodes. The model predictions suggest that cobalt can be used to improve the corrosion resistance of NiO cathode without affecting its performance. Cobalt was deposited on NiO cathode by electroless deposition. The morphology and thermal oxidation behavior of Co coated NiO was studied using scanning electron microscopy and thermal gravimetric analysis respectively. The electrochemical performance of cobalt encapsulated NiO cathodes were investigated with open circuit potential measurement and current-potential polarization studies. These results were compared to that of bare NiO. The electrochemical oxidation behavior of cobalt-coated electrodes is similar to that of the bare NiO cathode. Dissolution of nickel into the molten carbonate melt was less in case of cobalt encapsulated nickel cathodes. Co coated on the surface prevents the dissolution of Ni in the melt and thereby stabilizes the cathode. Finally, cobalt coated nickel shows similar polarization characteristics as nickel oxide. A similar surface modification technique has been used to improve the performance of the SS 304 current collectors used in MCFC cells. SS 304 was encapsulated with nanostructured layers of NiCo and NiMo by electroless deposition. The corrosion behavior of bare and surface modified SS 304 in molten carbonate under cathode gas atmosphere was investigated with cyclic voltammetry, open circuit potential studies, Tafel polarization, impedance analysis and atomic absorption spectroscopy. This study confirms that the presence of surface modification leads to the formation of complex scales with better barrier properties and electronic conductivity.

  12. Comparison of Optimal Thermodynamic Models of the Tricarboxylic Acid Cycle from Heterotrophs, Cyanobacteria, and Green Sulfur Bacteria

    SciTech Connect (OSTI)

    Thomas, Dennis G.; Jaramillo Riveri, Sebastian I.; Baxter, Douglas J.; Cannon, William R.

    2014-12-15T23:59:59.000Z

    We have applied a new stochastic simulation approach to predict the metabolite levels, energy flow, and material flux in the different oxidative TCA cycles found in E. coli and Synechococcus sp. PCC 7002, and in the reductive TCA cycle typical of chemolithoautotrophs and phototrophic green sulfur bacteria such as Chlorobaculum tepidum. The simulation approach is based on equations of state and employs an assumption similar to that used in transition state theory. The ability to evaluate the thermodynamics of metabolic pathways allows one to understand the relationship between coupling of energy and material gradients in the environment and the selforganization of stable biological systems, and it is shown that each cycle operates in the direction expected due to its environmental niche. The simulations predict changes in metabolite levels and flux in response to changes in cofactor concentrations that would be hard to predict without an elaborate model based on the law of mass action. In fact, we show that a thermodynamically unfavorable reaction can still have flux in the forward direction when it is part of a reaction network. The ability to predict metabolite levels, energy flow and material flux should be significant for understanding the dynamics of natural systems and for understanding principles for engineering organisms for production of specialty chemicals, such as biofuels.

  13. 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

  14. A multiobjective, multidisciplinary design optimization methodology for the conceptual design of distributed satellite systems

    E-Print Network [OSTI]

    Jilla, Cyrus D., 1974-

    2002-01-01T23:59:59.000Z

    A multiobjective, multidisciplinary design optimization methodology for mathematically modeling the distributed satellite system (DSS) conceptual design problem as an optimization problem has been developed to advance the ...

  15. Optimization Methods and Software Vol. 00, No. 00, Month 200x, 118

    E-Print Network [OSTI]

    Berger-Wolf, Tanya Y.

    Optimization, DNA markers, Linear Assignment Problems Corresponding author. Department of Industrial studied mathematical programming models in combinatorial optimization for several important real world

  16. Industrial Optimization Compact Course

    E-Print Network [OSTI]

    Kirches, Christian

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

  17. An Optimal Control Approach to Cancer Treatment under Immunological Activity

    E-Print Network [OSTI]

    Ledzewicz, Urszula

    An Optimal Control Approach to Cancer Treatment under Immunological Activity Urszula Ledzewicz Mathematical models for cancer treatment that include immunological activity are con- sidered as an optimal. For various growth models on the cancer cells the existence and optimality of singular controls

  18. Optimal and Hierarchical Control Travis DeWolf

    E-Print Network [OSTI]

    Anderson, Charles H.

    -effector force? GOD. Travis DeWolf Optimal and Hierarchical Control #12;Optimal control of linear systems So control? Optimal control deals with the problem of finding a control law for a given system and Hierarchical Control #12;System model The simplest system model is linear. Set up a system of linear equations

  19. Optimal Power Dispatch via Multistage Stochastic Programming \\Lambda

    E-Print Network [OSTI]

    Römisch, Werner

    are reported. 1 Introduction Mathematical models for cost­optimal power scheduling in hydro­thermal systems a short­term optimization model for the dis­ patch of electric power in a hydro­thermal generation systemOptimal Power Dispatch via Multistage Stochastic Programming \\Lambda M.P. Nowak 1 and W. R¨omisch 1

  20. Optimal prediction in molecular dynamics

    E-Print Network [OSTI]

    Benjamin Seibold

    2008-08-22T23:59:59.000Z

    Optimal prediction approximates the average solution of a large system of ordinary differential equations by a smaller system. We present how optimal prediction can be applied to a typical problem in the field of molecular dynamics, in order to reduce the number of particles to be tracked in the computations. We consider a model problem, which describes a surface coating process, and show how asymptotic methods can be employed to approximate the high dimensional conditional expectations, which arise in optimal prediction. The thus derived smaller system is compared to the original system in terms of statistical quantities, such as diffusion constants. The comparison is carried out by Monte-Carlo simulations, and it is shown under which conditions optimal prediction yields a valid approximation to the original system.

  1. Optimization and geophysical inverse problems

    E-Print Network [OSTI]

    Barhen, J.

    2008-01-01T23:59:59.000Z

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

  2. Essays on optimal taxation

    E-Print Network [OSTI]

    Reis, Catarina (Catarina Luis Monteiro dos)

    2007-01-01T23:59:59.000Z

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

  3. 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

  4. 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 ...

  5. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

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

  6. Optimization Online - An MILP-MINLP decomposition method for the ...

    E-Print Network [OSTI]

    Irene Lotero

    2015-04-14T23:59:59.000Z

    Apr 14, 2015 ... An MILP-MINLP decomposition method for the global optimization of a source based model of the multiperiod ... Citation: Submitted for Publication to Computers and Chemical Engineering ... Mathematical Optimization Society.

  7. Optimal Sequencing of Central Refrigeration Equipment in an Industrial Plant

    E-Print Network [OSTI]

    Fiorino, D. P.; Priest, J. W.

    1986-01-01T23:59:59.000Z

    A model was developed to find a viable solution to the problem of selecting the optimal sequence of refrigeration equipment (chillers, cooling towers, pumps) to operate in a Central Utility Plant. The optimal equipment sequence is that sequence...

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

    E-Print Network [OSTI]

    Miguel Carrasco

    2014-07-08T23:59:59.000Z

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

  9. Optimization Online - Machine Learning for Global Optimization

    E-Print Network [OSTI]

    Andrea Cassioli

    2009-07-23T23:59:59.000Z

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

  10. Optimization Online - Nonsmooth Optimization via BFGS

    E-Print Network [OSTI]

    Adrian S. Lewis

    2008-12-14T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Cl vis Caesar Gonzaga

    2008-08-07T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Joerg Fliege

    2008-03-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Melvyn Sim

    2006-02-08T23:59:59.000Z

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

  14. Optimization Online - Towards nonsymmetric conic optimization

    E-Print Network [OSTI]

    Yurii Nesterov

    2006-03-31T23:59:59.000Z

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

  15. Design of a building structural skin using multi-objective optimization techniques

    E-Print Network [OSTI]

    Merello, Riccardo

    2006-01-01T23:59:59.000Z

    Multi-disciplinary System Design Optimization was used to design the geometry and to select the materials for the structural facade of a building. A multi-objective optimization model was developed, capable of optimizing ...

  16. Beyond Optimality: New Trends in Network Optimization

    E-Print Network [OSTI]

    Chiang, Mung

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

  17. Optimization Online Moderation Policy

    E-Print Network [OSTI]

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

  18. The optimal prediction method

    E-Print Network [OSTI]

    Burin des Roziers, T.

    2011-01-01T23:59:59.000Z

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

  19. Goal Driven Optimization

    E-Print Network [OSTI]

    2006-05-27T23:59:59.000Z

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

  20. Optimization Online - Digest

    E-Print Network [OSTI]

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

  1. Optimization Online - Category Archive

    E-Print Network [OSTI]

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

  2. Energy Systems Optimization, Modeling, Simulation,

    E-Print Network [OSTI]

    Qu, Zhihua

    be propagated within the group using cooperative control. As such, a smartgrid may treat microgrids Smartgrid · Microgrid · Distributed generator · Cooperative control · Game theory 1 Introduction The global to the outburst of the distributed generators (DGs) and smartgrid concepts. DGs have many different forms

  3. Python Optimization Modeling Objects (Pyomo)

    E-Print Network [OSTI]

    2009-12-29T23:59:59.000Z

    Dec 29, 2009 ... supporting open standards and avoiding being locked in to a single ..... The API for solver managers supports asynchronous execution of ...

  4. An Approximate Inference Approach to Temporal Optimization in Optimal Control

    E-Print Network [OSTI]

    Vijayakumar, Sethu

    ­ Motivation · Stochastic Optimal feedback control (SOFC) is a plausible move- ment generation strategy in goal with non-linear dynamics and non-quadratic costs SOFC law can only be found locally and iteratively, e ­ SOFC Model Random variables we use here: xt state of a plant (joint angles q and velocities q) ut

  5. Optimization and Control of Petroleum DOCTORAL THESIS

    E-Print Network [OSTI]

    Foss, Bjarne A.

    the oil production since free gas, which occurs after gas break- through, will occupy significant volumes coning process in a gas-oil reservoir completed with a single horizontal well is analytically modeled and optimization. First, two cases are considered. The first case is optimization of oil production under gas

  6. Network Flow Optimization under Uncertainty

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Network model in words Minimize the cost of satisfying demands for electric energy By: imports, exports and electricity Subject to: conservation of energy flows (net after losses), lower and upper bounds on flows is a reactive approach: how would the optimal solution have changed if I'd only known? · Proactive approaches

  7. Wind Electrolysis: Hydrogen Cost Optimization

    SciTech Connect (OSTI)

    Saur, G.; Ramsden, T.

    2011-05-01T23:59:59.000Z

    This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

  8. 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

  9. Thermodynamic Metrics and Optimal Paths

    SciTech Connect (OSTI)

    Sivak, David; Crooks, Gavin

    2012-05-08T23:59:59.000Z

    A fundamental problem in modern thermodynamics is how a molecular-scale machine performs useful work, while operating away from thermal equilibrium without excessive dissipation. To this end, we derive a friction tensor that induces a Riemannian manifold on the space of thermodynamic states. Within the linear-response regime, this metric structure controls the dissipation of finite-time transformations, and bestows optimal protocols with many useful properties. We discuss the connection to the existing thermodynamic length formalism, and demonstrate the utility of this metric by solving for optimal control parameter protocols in a simple nonequilibrium model.

  10. Temperature Resistant Optimal Ratchet Transport

    E-Print Network [OSTI]

    Cesar Manchein; Alan Celestino; Marcus W Beims

    2012-11-12T23:59:59.000Z

    Stable periodic structures containing optimal ratchet transport, recently found in the parameter space dissipation versus ratchet parameter [PRL 106, 234101 (2011)], are shown to be resistant to reasonable temperatures, reinforcing the expectation that they are essential to explain the optimal ratchet transport in nature. Critical temperatures for their destruction, valid from the overdamping to close to the conservative limits, are obtained numerically and shown to be connected to the current efficiency, given here analytically. Results are demonstrated for a discrete ratchet model and generalized to the Langevin equation with an additional external oscillating force.

  11. A PRIORI OPTIMIZATION DIMITRIS J. BERTSIMAS

    E-Print Network [OSTI]

    Bertsimas, Dimitris

    spanning tree, vehicle routing, and traveling salesman facility location. We discuss the applicability optimally for every instance. We consider four problems: the traveling salesman problem (TSP), the minimum/graphs: stochastic heuristics, traveling salesman. Probability: stochastic model applications. Transpo

  12. Signal Timing Optimization to Improve Air Quality

    E-Print Network [OSTI]

    Lv, Jinpeng 1983-

    2012-12-11T23:59:59.000Z

    the gap that the research on signal optimization at intersections lags behind the development of emissions models. The methodology development includes four levels: the vehicle level, the movement level, the intersection level, and the arterial level...

  13. Optimization Online - All Areas Submissions - March 2008

    E-Print Network [OSTI]

    ... a semidefinite programming solver based on CSDP on a distributed memory cluster ... Tractable Robust Expected Utility and Risk Models for Portfolio Optimization ... Epi-convergent Scenario Generation Method for Stochastic Problems via ...

  14. Theory and Applications of Robust Optimization

    E-Print Network [OSTI]

    Bertsimas, Dimitris J.

    In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad ...

  15. Water Resource System Optimization by Geometric Programming

    E-Print Network [OSTI]

    Meier, W. L.; Shih, C. S.; Wray, D. J.

    Water resources planners and systems analysts are continually confronted with many complex optimization problems. Two major factors contribute to this problem. Firstly, mathematical modeling and system description capabilities in water resources...

  16. Signal Timing Optimization to Improve Air Quality 

    E-Print Network [OSTI]

    Lv, Jinpeng 1983-

    2012-12-11T23:59:59.000Z

    the gap that the research on signal optimization at intersections lags behind the development of emissions models. The methodology development includes four levels: the vehicle level, the movement level, the intersection level, and the arterial level...

  17. Optimization Online - All Areas Submissions - February 2009

    E-Print Network [OSTI]

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

  18. Linear conic optimization for nonlinear optimal control

    E-Print Network [OSTI]

    Didier Henrion

    2014-07-07T23:59:59.000Z

    Jul 7, 2014 ... Abstract: Infinite-dimensional linear conic formulations are described for nonlinear optimal control problems. The primal linear problem consists ...

  19. Linear conic optimization for inverse optimal control

    E-Print Network [OSTI]

    Edouard Pauwels

    2014-11-05T23:59:59.000Z

    Nov 5, 2014 ... Abstract: We address the inverse problem of Lagrangian identification based on trajectories in the context of nonlinear optimal control.

  20. Optimization Online - Constrained optimization in seismic reflection ...

    E-Print Network [OSTI]

    F. Delbos

    2004-07-07T23:59:59.000Z

    Jul 7, 2004 ... Constrained optimization in seismic reflection tomography: an SQP augmented Lagrangian approach. F. Delbos (Frederic.Delbos ***at*** ifp.fr)

  1. Optimization Online - Global Optimization Submissions - 2011

    E-Print Network [OSTI]

    Alberto Costa, Pierre Hansen, Leo Liberti. Theory A new look at nonnegativity on closed sets and polynomial optimization. Jean Bernard Lasserre. May 2011.

  2. Optimization Online - Stochastic Optimization for Power System ...

    E-Print Network [OSTI]

    Ludwig Kuznia

    2011-02-17T23:59:59.000Z

    Feb 17, 2011 ... Stochastic Optimization for Power System Configuration with Renewable Energy in Remote Areas. Ludwig Kuznia(lkuznia ***at*** mail.usf.edu)

  3. Optimization Online - Structural optimization of the Ziegler's ...

    E-Print Network [OSTI]

    Oleg N. Kirillov

    2010-12-24T23:59:59.000Z

    Dec 24, 2010 ... Abstract: Structural optimization of non-conservative systems with ... with important applications in fluid-structure interactions, friction-induced ...

  4. Linear conic optimization for nonlinear optimal control

    E-Print Network [OSTI]

    2014-07-07T23:59:59.000Z

    Jul 7, 2014 ... This linear transport equation is classical in fluid mechanics, statistical ... define a relaxed optimal control problem as an LP in the cone of non-.

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

    E-Print Network [OSTI]

    W. van vAckooij

    2015-05-27T23:59:59.000Z

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

  6. Optimization Online - Robust Optimization Submissions - 2013

    E-Print Network [OSTI]

    Mehdi Karimi, Somayeh Moazeni, Levent Tuncel. Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi.

  7. Optimization Online - Optimal Scenario Tree Reduction for ...

    E-Print Network [OSTI]

    W.L. Oliveira

    2008-11-21T23:59:59.000Z

    Nov 21, 2008 ... Abstract: The mid-term operation planning of hydro-thermal power systems ... If the number of synthetic sequences is too big, the optimization ...

  8. Optimization Online - Mixed-Integer Nonlinear Optimization

    E-Print Network [OSTI]

    Pietro Belotti

    2012-12-02T23:59:59.000Z

    Dec 2, 2012 ... Mixed-Integer Nonlinear Optimization. Pietro Belotti(pbelott ***at*** clemson.edu) Sven Leyffer(leyffer ***at*** mcs.anl.gov) Christian ...

  9. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

    New Fractional Error Bounds for Nonconvex Polynomial Systems with Applications to Holderian Stability in Optimization G Li, B. S. Mordukhovich, T. S. Pham.

  10. Optimization Online - Convex and Nonsmooth Optimization ...

    E-Print Network [OSTI]

    D. Drusvyatskiy, A.D. Ioffe, A.S. Lewis. February 2014. Nonsmooth Optimization Variational Analysis of Circular Cone Programs Jinchuan Zhou, Jein-Shan Chen

  11. Optimization Online - Distributionally Robust Convex Optimization

    E-Print Network [OSTI]

    Wolfram Wiesemann

    2013-02-04T23:59:59.000Z

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

  12. Optimization Online - Global Optimization via Slack Variables

    E-Print Network [OSTI]

    Isaac Siwale

    2014-08-01T23:59:59.000Z

    Aug 1, 2014 ... Citation: Siwale, I. (2014). Global optimization via slack variables. Technical Report No. RD-16-2013, London: Apex Research Ltd. Download: ...

  13. EXPERT TOOLS FOR QSAR ANALYSIS AND LEAD OPTIMIZATION The basic tools needed to build powerful, predictive models of biological activity (or any other property) from molecu-

    E-Print Network [OSTI]

    Ferreira, Márcia M. C.

    EXPERT TOOLS FOR QSAR ANALYSIS AND LEAD OPTIMIZATION The basic tools needed to build powerful in SYBYL's QSAR module. These include molecular field generation tools, least-squares (PLS, PCA and SIMCA) and non-linear (hierarchical clustering) analysis tools. The most powerful of these techniques can

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

    E-Print Network [OSTI]

    Palaniappan, Arun

    2012-02-14T23:59:59.000Z

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

  15. achankovil shear zone: Topics by E-print Network

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

    the kinetic Monte Carlo algorithm, are used to model the mechanical response of amorphous metals and provide insight into the collective aspects of ... Homer, Eric R. 48 Continuum...

  16. angavo shear zone: Topics by E-print Network

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

    the kinetic Monte Carlo algorithm, are used to model the mechanical response of amorphous metals and provide insight into the collective aspects of ... Homer, Eric R. 48 Continuum...

  17. Optimal Control of Quantum Measurement

    E-Print Network [OSTI]

    Daniel J. Egger; Frank K. Wilhelm

    2014-08-26T23:59:59.000Z

    Pulses to steer the time evolution of quantum systems can be designed with optimal control theory. In most cases it is the coherent processes that can be controlled and one optimizes the time evolution towards a target unitary process, sometimes also in the presence of non-controllable incoherent processes. Here we show how to extend the GRAPE algorithm in the case where the incoherent processes are controllable and the target time evolution is a non-unitary quantum channel. We perform a gradient search on a fidelity measure based on Choi matrices. We illustrate our algorithm by optimizing a phase qubit measurement pulse. We show how this technique can lead to large measurement contrast close to 99%. We also show, within the validity of our model, that this algorithm can produce short 1.4 ns pulses with 98.2% contrast.

  18. Multi-objective optimization of solar tower power plants

    E-Print Network [OSTI]

    Ábrahám, Erika

    Multi-objective optimization of solar tower power plants Pascal Richter Center for Computational · Optimization of solar tower power plants 1/20 #12;Introduction ­ Solar tower power plants Solar tower PS10 (11 of the solar tower Pascal Richter · Optimization of solar tower power plants 2/20 #12;Model of solar tower

  19. Optimal control of interacting particle systems Charles Bordenave

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Optimal control of interacting particle systems Charles Bordenave CNRS & Universit´e de Toulouse are in interaction and a central controller may aim at optimizing a performance measure of the system via a control the symmetry breaking phenomena for optimal control strategies. 2 Controlled particle systems 2.1 Model

  20. Optimization of California's Water Supply System: Results and Insights

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    headings: Optimization; California; Water supply; Water shortage. Introduction Water is scarceOptimization of California's Water Supply System: Results and Insights Marion W. Jenkins1 ; Jay R-engineering optimization model of California's water supply system. The results of this 4-year effort illustrate the value