Optimization Online - Optimization Software and Modeling Systems ...
Optimization Software and Modeling Systems Submissions - 2009. March 2009. Modeling Languages and Systems A Structure-Conveying Modelling Language ...
Optimizing Preventive Maintenance Models
Optimizing Preventive Maintenance Models. Michael Bartholomew-Biggs. School of Physics Astronomy and Mathematics, University of Hertfordshire.
Optimization models for improving periodic maintenance schedules by utilizing opportunities
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
Optimization Online - Multilevel Optimization Modeling for Risk ...
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 ...
ORIGINAL RESEARCH Open Access Optimizing statistical parametric mapping
ORIGINAL RESEARCH Open Access Optimizing statistical parametric mapping analysis of 18 F-FDG PET is an objective tool to analyze 18F-fluoro-2-deoxy-D- glucose-positron-emission tomography (FDG-PET) images, Epilepsy Background Visual inspection of 18F-fluoro-2-deoxy-D-glucose- positron-emission tomography (FDG
ORIGINAL PAPER Optimized preparation of ACE-inhibitory
Paris-Sud XI, Université de
ORIGINAL PAPER Optimized preparation of ACE-inhibitory and antioxidative whey protein hydrolysate)-inhibitory activity and antioxidant proper- ties. The effects of hydrolysis conditions including time (2, 13, 24, 35; that is, increase in all variables promoted bioactive peptide generation through facilitating enzyme
Modeling & Optimization An ABB Speciality
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
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.
Stochastic Optimization Modeling
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.
Optimal Model-Based Production Planning
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
Optimal Model-Based Production Planning
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
Optimization Modeling Languages Emmanuel Fragni`ere
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
ORIGINAL PAPER Evolutionary Foraging Models in Zooarchaeological
Kohler, Tim A.
accompanied by declining foraging efficiency and resource intensification, for example, is often identifiedORIGINAL PAPER Evolutionary Foraging Models in Zooarchaeological Analysis: Recent Applications and Future Challenges Karen D. Lupo Published online: 24 May 2007 Ã? Springer Science+Business Media, LLC 2007
OPTIMAL CONTROL WITH ADAPTIVE INTERNAL DYNAMICS MODELS
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
MODELING, SIMULATION AND OPTIMIZATION OF GROUND SOURCE
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
Toward optimized code generation through model-based optimization
Paris-Sud XI, UniversitÃ© de
Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha.gerard, francois.terrier}@cea.fr Pierre Boulet LIFL, CNRS/INRIA, UniversitÃ© de Lille 1, Parc de la Haute Borne, BÃ¢t tools like synthesis of system's application by automatic code generation. Real-Time and Embedded
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification
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
Optimal Model-Based Production Planning
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
Optimal Model-Based Production Planning for
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
Optimal Model-Based Production Planning
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
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...
Modeling and Optimization of Interpenetrating Polymer
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
Nonlinear Optimization in Modeling Environments
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 ...
Optimization Modeling and Programming in Xpress-
Grossmann, Ignacio E.
the business problem in the Mosel algebraic modeling language Â· Ex: Capital Budgeting Â· Set of projects resources Â· Select set of projects to maximize return #12;Developing an optimization model Building Block 1-user Â· protects intellectual property Â· platform independent Â· efficient #12;More Mosel Features Â· Modeling
Comparison of optimization techniques for origin-destination seat inventory control
Williamson, Elizabeth Louise
1988-01-01T23:59:59.000Z
Airlines have recently realized the importance of an effective seat inventory control system on revenues and profits. Yet, at the same time, there is a lack of practical optimization models for determining the number of ...
OPTIMAL DIFFERENTIATION BASED ON STOCHASTIC SIGNAL MODELS
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
Identifying the Original Contribution of a Document via Language Modeling
Joachims, Thorsten
Identifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko the original ideas that a document contributes to a corpus, focusing on self-referential diachronic corpora such as research publications, blogs, email, and news articles. Our statistical model of passage impact defines
Modeling and Optimization for Interpenetrating polymer
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
Identifying the Original Contribution of a Document via Language Modeling
Joachims, Thorsten
and impact, and we show how it can find text passages that best summarize the original contributionIdentifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko Cornell that a document contributes to a corpus, focusing on self-referential diachronic corpora such as research pub
Short communication Origin of arrhythmias in a heart model
Rand, Richard H.
Short communication Origin of arrhythmias in a heart model Hiba Sheheitli, Richard Rand * Dept oscillators a b s t r a c t An investigation of the nonlinear dynamics of a heart model is presented. The model com- partmentalizes the heart into one part that beats autonomously (the x oscillator), repre
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification
Mignotte, Max
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of ShadowÃWe 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
Original article Solving animal model equations
Paris-Sud XI, Université de
systems Bs = r arising in (individual) animal model evaluations. This strategy, like Gauss». Cette stratégie, comme l'itération de Gauss-Seidel, appartient à la famille des « méthodes d of particular transformations (eg the canonical transformation which reduces multitrait evaluations to sets
MODELING, VERIFICATION AND OPTIMIZATION OF HYBRID GROUND SOURCE HEAT PUMP
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
Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains
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
AUTOMATIC GENERATION OF OPTIMAL CONTROLLERS THROUGH MODEL CHECKING TECHNIQUES
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
Optimization Models in Finance (26:711:564) Andrzej Ruszczynski
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
ORIGINAL PAPER Modeling of Thermal-Assisted Dislocation Friction
Marks, Laurence D.
ORIGINAL PAPER Modeling of Thermal-Assisted Dislocation Friction Y. Liao · L. D. Marks Received: 25+Business Media, LLC 2009 Abstract We generalize a model for friction at a sliding interface involving the motion of thermally activated friction. Going further, we suggest a plausible method for generalizing the fric- tional
Code Differentiation for Hydrodynamic Model Optimization
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.
Optimization Models in Finance (26:711:564) Andrzej Ruszczynski
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
Optimization models in finance Ma 450 Darinka Dentcheva Fall 2012 darinka.dentcheva@stevens.edu
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
Finding Benefits by Modeling and Optimizing Steam and Power Systems
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...
Finding Benefits by Modeling and Optimizing Steam and Power Systems
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...
15.094 Systems Optimization: Models and Computation, Spring 2002
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. ...
Ergonomic Modelling and Optimization of the Keyboard Arrangement with an Ant Colony Optimization
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
Original article Modelling herbicide treatment impact on groundwater
Boyer, Edmond
Original article Modelling herbicide treatment impact on groundwater quality in a central Italy of different weed control strategies on groundwater quality in a Central Italy area (Umbria) where the drinking and twenty-two weed control strategies were tested for their groundwater concentrations. Two maps reporting
Optimal Synthesis of Complex Distillation ColumnsUsing Rigorous Models
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
Error Control Based Model Reduction for Parameter Optimization of Elliptic
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
Computational Modeling and Optimization of Proton Exchange Membrane Fuel Cells
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
Preprint submitted to SAE Optimal Control Based Modeling of
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
Optimization Online - A stabilized model and an efficient solution ...
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).
H2 -optimal model reduction of MIMO systems
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 ...
Model Identification for Optimal Diesel Emissions Control
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.
Optimal control with adaptive internal dynamics models
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 ...
Sensitivity of Optimal Operation of an Activated Sludge Process Model
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
Optimization of Modelica Models with JModelica.org and Optimica
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
Model-based Lifecycle Optimization of Well Locations
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
Math 574 --Optimization Models in Computational Biology (Spring 2008)
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
Utility system integration and optimization models for nuclear power management
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 ...
Local energy management through mathematical modeling and optimization
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 ...
Optimal portfolios using Linear Programming models
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 ...
Stochastic optimal control with learned dynamics models
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 ...
Correlation decay and decentralized optimization in graphical models
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 ...
Simulation Models to Optimize the Energy Consumption of Buildings
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...
An Optimization Model for Eco-Driving at Signalized Intersection
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...
Online Modeling in the Process Industry for Energy Optimization
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...
Hybrid Model for Building Performance Diagnosis and Optimal Control
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...
An adaptive radiation model for the origin of new gene functions
Francino, M. Pilar
2005-01-01T23:59:59.000Z
An adaptive radiation model for the origin of new genePreadaptation Adaptive radiation Competition among closefor a specific niche Adaptive radiation model Adaptive gene
Contingency contractor optimization. Phase 3, model description and formulation.
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.
Contingency contractor optimization. phase 3, model description and formulation.
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.
Optimal Model-Based Production Planning
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
Modeling and optimization of a chiller plant Xiupeng Wei*
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
Modeling and Optimizing Ergonomic Activities in Automobile Product Development
da Silva, Alberto Rodrigues
Modeling and Optimizing Ergonomic Activities in Automobile Product Development JoÃ£o 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
COBRA-SFS modifications and cask model optimization
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.
An optimization approach to kinetic model reduction for combustion chemistry
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...
OPTIMAL EXPERIMENTAL DESIGN FOR MODELING BATTERY DEGRADATION Joel C. Forman
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
Finding Benefits by Modeling and Optimizing Steam and Power Systems
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...
A grid model for the design, coordination and dimensional optimization
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
Optimization Online - Nonlinear Model Predictive Control via ...
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)
Optimization Online - Extending Algebraic Modelling Languages for ...
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 ...
Gravitational Lens Modeling with Genetic Algorithms and Particle Swarm Optimizers
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...
Modeling and optimization of Interpenetrating polymer
Grossmann, Ignacio E.
-state mass balance conservation equation Reaction-diffusion model Fick's first law Concentration Velocity to design new materials Â Key characteristic : Tough & flexible Â· High value material Huge market industry 3
ORIGINAL ARTICLE Revisiting and modelling the woodland farming system
to a reconstruction of the climate of western Europe and the consequent vegetation pattern and productivity arising typology indicates that its origin lies in the Balkan-Carpathian area, especially the late phase
Power Modeling and Optimization for GPGPUs
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...
Efficient Production Optimization Using Flow Network Models
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...
Bootstrap for model selection: linear approximation of the optimism
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
Mathematical Modeling of PDGF-Driven Glioblastoma Reveals Optimized
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
Optimization Models for Shale Gas Water Management Linlin Yang
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
Optimization of flagellar swimming by a model sperm
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.
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
Mooring Line Modelling and Design Optimization of Floating Offshore Wind Turbines
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
Efficient Dynamic Modeling, Numerical Optimal Control and Experimental Results for Various Gaits
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
An Optimization Approach for Effective Formalized fUML Model Checking
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
An adaptive radiation model for the origin of new gene functions
Francino, M. Pilar
2004-01-01T23:59:59.000Z
Foster, P.L. Adaptive radiation of a frameshift mutation inThe Ecology of Adaptive Radiation, (Oxford University Press,18 th , 2004) An adaptive radiation model for the origin of
Discrete-Time ARMAv Model-Based Optimal Sensor Placement
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.
ORIGINAL PAPER Application of the DNDC model to tile-drained Illinois
David, Mark B.
. Modeling efficiency ranged from 0.25 to 0.85 in comparison with measured drainage and leachate valuesORIGINAL PAPER Application of the DNDC model to tile-drained Illinois agroecosystems: model Springer Science+Business Media B.V. 2007 Abstract We applied the Denitrification- Decomposition (DNDC
The origins of computer weather prediction and climate modeling
Lynch, Peter [Meteorology and Climate Centre, School of Mathematical Sciences, University College Dublin, Belfield (Ireland)], E-mail: Peter.Lynch@ucd.ie
2008-03-20T23:59:59.000Z
Numerical simulation of an ever-increasing range of geophysical phenomena is adding enormously to our understanding of complex processes in the Earth system. The consequences for mankind of ongoing climate change will be far-reaching. Earth System Models are capable of replicating climate regimes of past millennia and are the best means we have of predicting the future of our climate. The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer was constructed. There were several major practical obstacles to be overcome before numerical prediction could be put into practice. A fuller understanding of atmospheric dynamics allowed the development of simplified systems of equations; regular radiosonde observations of the free atmosphere and, later, satellite data, provided the initial conditions; stable finite difference schemes were developed; and powerful electronic computers provided a practical means of carrying out the prodigious calculations required to predict the changes in the weather. Progress in weather forecasting and in climate modeling over the past 50 years has been dramatic. In this presentation, we will trace the history of computer forecasting through the ENIAC integrations to the present day. The useful range of deterministic prediction is increasing by about one day each decade, and our understanding of climate change is growing rapidly as Earth System Models of ever-increasing sophistication are developed.
Dynamic Optimization in Continuous-Time Economic Models (A Guide for the Perplexed)
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
Optimal control of CPR procedure using hemodynamic circulation model
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.
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
Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation
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
Advanced Maintenance Modelling StatAvaries : An original multinet decision support tool for
Paris-Sud XI, UniversitÃ© de
the use of the preventive maintenance strategies on the availability of the network whereas the last model and preventive maintenance actions to delays before broken rails detection and related number of missed trains (aAdvanced Maintenance Modelling 1 StatAvaries : An original multinet decision support tool
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.
Recent developments in DYNSUB: New models, code optimization and parallelization
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)
Stochastic Modeling and Optimization for Energy Management in Multi-Core Systems
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
Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance Models
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
Geometry optimization methods for modeling large molecules O don Farkasa,*, H. Bernhard Schlegelb
Schlegel, H. Bernhard
Geometry optimization methods for modeling large molecules OÂ¨ doÂ¨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
Optimization of the structural Gabor functions in a homogeneous velocity model
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
Optimal Control of Distributed Energy Resources using Model Predictive Control
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.
Object-oriented Dynamics Modeling for Legged Robot Trajectory Optimization and Control
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
Optimization of Pacing Strategies for Cycling Time Trials Using a Smooth 6-Parameter Endurance Model
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
Stochastic Modeling and Optimization for Robust Power Management in a Partially Observable System
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
20.18 Optimization Problems in Air Pollution Modeling Ivan Dimov, and Zahari Zlatev
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
Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)
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).
ORIGINAL ARTICLE An in vivo model of melanoma: treatment with ATP
Burnstock, Geoffrey
ORIGINAL ARTICLE An in vivo model of melanoma: treatment with ATP Nicholas White & Gillian E1 and P2X7 receptors, previously proposed as extracellular targets for melanoma treatment with ATP for the use of ATP as a treatment for melanoma. Keywords Melanoma . Cancer. Purinergic signalling . ATP
ORIGINAL ARTICLE Therapy model for advanced intracerebral B16 mouse melanoma
Terasaki, Mark
ORIGINAL ARTICLE Therapy model for advanced intracerebral B16 mouse melanoma using radiation for advanced intracerebral B16 melanoma is reported. Implanted tumors (D0), suppressed by a single 15 Gy- bination therapies for brain tumors. Keywords B16 melanoma Á Mouse Á Brain tumor Á Radiation therapy Á
ORIGINAL PAPER "Modeling the impact of natural resource-based poverty
Lehmann, Johannes
ORIGINAL PAPER "Modeling the impact of natural resource-based poverty traps on food security and Dynamic Poverty Traps in East Africa. The Rockefeller Foundation is providing key financial support the interactions between natural resource-based poverty traps and food security for small- holder farms in highland
ORIGINAL RESEARCH PAPER Geothermal modeling of the gas hydrate stability zone
ORIGINAL RESEARCH PAPER Geothermal modeling of the gas hydrate stability zone along the Krishna simulating reflector (BSR), interpreted to mark the thermally controlled base of the gas hydrate stability of the eastern continental margin of India. The seismic data reveal that gas hydrate occurs in the Krishna
Multi-model Simulation for Optimal Control of Aeroacoustics.
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
Optimal trade execution and absence of price manipulations in limit order book models
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
Optimal Nonmyopic Value of Information in Graphical Models Â 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
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
Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa
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
MODEL AND OPTIMIZATION OF ORGANIC PHOTOVOLTAIC CELLS Amelia McNamara
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
Using the NOABL flow model and mathematical optimization as a micrositing tool
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.
Electron spin and the origin of Bio-homochirality II. Prebiotic inorganic-organic reaction model
Wang, Wei
2014-01-01T23:59:59.000Z
The emergence of biomolecular homochirality is a critically important question about life phenomenon and the origins of life. In a previous paper (arXiv:1309.1229), I tentatively put forward a new hypothesis that the emergence of a single chiral form of biomolecules in living organisms is specifically determined by the electron spin state during their enzyme-catalyzed synthesis processes. However, how a homochirality world of biomolecules could have formed in the absence of enzymatic networks before the origins of life remains unanswered. Here I discussed the electron spin properties in Fe3S4, ZnS, and transition metal doped dilute magnetic ZnS, and their possible roles in the prebiotic synthesis of chiral molecules. Since the existence of these minerals in hydrothermal vent systems is matter of fact, the suggested prebiotic inorganic-organic reaction model, if can be experimentally demonstrated, may help explain where and how life originated on early Earth.
Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model
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
Reliability-yield allocation for semiconductor integrated circuits: modeling and optimization
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...
Optimal foreign borrowing in a multisector dynamic equilibrium model for Brazil
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 ...
Embedded Online Optimization for Model Predictive Control at ...
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.
An Improved Stochastic Optimization Model for Water Supply ...
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.
Gas Network Optimization: A comparison of Piecewise Linear Models
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.
Optimal SCR Control Using Data-Driven Models
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.
Continuously Optimized Reliable Energy (CORE) Microgrid: Models & Tools (Fact Sheet)
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.
Ken-ichiro Arita; Yasunori Mukumoto
2014-05-09T23:59:59.000Z
Shell structures in single-particle energy spectra are investigated against regular tetrahedral type deformation using radial power-law potential model. Employing a natural way of shape parametrization which interpolates sphere and regular tetrahedron, we find prominent shell effects at rather large tetrahedral deformations, which bring about shell energies much larger than the cases of spherical and quadrupole type shapes. We discuss the semiclassical origin of these anomalous shell structures using periodic orbit theory.
Modeling and Optimization of a Bioethanol Production Facility
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...
Model-Based Hierarchical Optimal Control Design for HVAC Systems
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,
Kinetic modeling and automated optimization in microreactor systems
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 ...
Oneida Tribe of Indians of Wisconsin Energy Optimization Model
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).
Cogeneration System Size Optimization Constant Capacity and Constant Demand Models
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...
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
Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2
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
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
Using Evolution Strategy with Meta-models for Well Placement Optimization
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 ...
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...
Optimal motion planning with the half-car dynamical model for autonomous high-speed driving
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 ...
Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model
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....
Optimization of a Chilled Water Plant Using a Forward Plant Model
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...
Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes
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...
A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no
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
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 ...
Thermodynamic modeling and optimization of a screw compressor chiller and cooling tower system
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...
Oracle-Based Optimization Applied to Climate Model Calibration
Beltran-Royo, Cesar
and earth system modelling since even so-called intermediate complexity models, such as the one used
AM 121: Intro to Optimization Models and Methods
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
Modeling, Optimization and Economic Evaluation of Residual Biomass Gasification
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...
Logic-based Modeling and Solution of Nonlinear Discrete/Continuous Optimization Problems
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
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
Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant
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
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
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
Optimization of the GB/SA Solvation Model for Predicting the Structure of Surface Loops in Proteins
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
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
Optimization Online - A Non-Parametric Structural Hybrid Modeling ...
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 ...
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.
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
A comparison of three programming models for adaptive applications on the Origin2000
Shan, Hongzhang; Singh, Jaswinder Pal; Oliker, Leonid; Biswas, Rupak
2001-05-30T23:59:59.000Z
Adaptive applications have computational workloads and communication patterns which change unpredictably at runtime, requiring dynamic load balancing to achieve scalable performance on parallel machines. Efficient parallel implementations of such adaptive applications is therefore a challenging task. In this paper, we compare the performance of and the programming effort required for two major classes of adaptive applications under three leading parallel programming models on an SGI Origin2000 system, a machine which supports all three models efficiently. Results indicate that the three models deliver comparable performance; however, the implementations differ significantly beyond merely using explicit messages versus implicit loads/stores even though the basic parallel algorithms are similar. Compared with the message-passing (using MPI) and SHMEM programming models, the cache-coherent shared address space (CC-SAS) model provides substantial ease of programming at both the conceptual and program orchestration levels, often accompanied by performance gains. However, CC-SAS currently has portability limitations and may suffer from poor spatial locality of physically distributed shared data on large numbers of processors.
Distant origins of Arctic black carbon: A Goddard Institute for Space Studies ModelE experiment
[Wallace and Thompson, 2002]. The Arctic climate is especially sensitive to changes in the hydrological005296. 1. Introduction [2] The Arctic is a particularly sensitive region to global climate change. Observations and models indicate that as the climate warms, the Arctic warms most and fastest [e.g., Manabe et
THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO THE OPTIMIZATION OF A MESOSCALE METEOROLOGICAL MODEL
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.
Optimal Harvesting in an Age-Structured Predator-Prey Model
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.
An Optimal Path Model for the Risk-Averse Traveler
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
An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model
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
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis
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
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
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
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
An Optimization Model for Plug-In Hybrid Electric Vehicles
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.
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
Simulation Models to Optimize the Energy Consumption of Buildings
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...
New Models Help Optimize Development of Bakken Shale Resources | Department
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEngines | Department of EnergySensitive Speciesof
Optimization of large-scale heterogeneous system-of-systems models.
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.
Modeling for deformable mirrors and the adaptive optics optimization program
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.
Sparse optimization for inverse problems in atmospheric modelling
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, ...
Optimization Online - An inventory model with shortages for ...
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 ...
Optimal Execution Under Jump Models For Uncertain Price Impact
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 ...
Optimization Online - Using EPECs to model bilevel games in ...
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.
Optimization Online - A Structure-Conveying Modelling Language ...
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)
Optimization Online - PSMG-A Parallel Structured Model Generator ...
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.
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...
IRRIGATION OPTIMIZATION BY MODELING OF PLANT-SOIL INTERACTION
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
Optimizing Mobile Application Performance with ModelDriven Engineering
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
Optimization of carbon capture systems using surrogate models of simulated processes.
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.
Hybrid Model for Building Performance Diagnosis and Optimal Control
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...
Constraining climate model properties using optimal fingerprint detection methods
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 ...
Hybrid fuzzy and optimal modeling for water quality evaluation
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...
Multi-objective optimization of an ecological assembly model
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
Modeling and Optimal Regulation of Erythropoiesis Subject to Benzene Intoxication
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
NEWTON'S METHOD FOR MULTIOBJECTIVE OPTIMIZATION ...
The method does not scalarize the original vector optimization problem, ... for an optimization problem with an objective function with a partially ordered vector ...
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
Recent developments in model-based optimization and control of subsurface flow
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
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
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
Optimal Perturbations in the Eady Model: Resonance versus PV Unshielding H. DE VRIES
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
IEEE/ASME TRANSACTIONS ON MECHATRONICS-.-1 Modeling and optimal force control of a nonlinear
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
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
Stochastic Modeling of a Power-Managed System: Construction and Optimization
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
Stochastic Modeling of a Power-Managed System: Construction and Optimization
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
1 P A P E R 2 Design, Modeling and Optimization of an
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
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
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
Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles
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
Finding best practices for automotive glazing recycling: a network optimization model
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
THE USE OF HYDRAULIC MODELS TO OPTIMIZE THE REHABILITATION OF AN OPEN CHANNEL IRRIGATION SYSTEM
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
Modeling and Optimization of Next Generation Feedstock Development for Chemical Process
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
Power system analysis project Modeling and Sizing optimization of Stand-alone
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
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
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
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
Optimal prediction in molecular dynamics
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.
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...
On the Single-Zone Modeling for Optimal Climate Control of a Real-Sized Livestock Stable System
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
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
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
MOGO: Model-Oriented Global Optimization of Petascale Applications
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.
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
Parametric Studies and Optimization of Eddy Current Techniques through Computer Modeling
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.
Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings
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...
Optimizing Higher-Order Lagrangian Perturbation Theory for Standard CDM and BSI models
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.
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
Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant
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.
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...
Optimization Online Digest -- February 2015
Computational Optimization of Gas Compressor Stations: MINLP Models vs. ... The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
ORIGINAL ARTICLE An in vitro model for the growth and analysis of chronic
Parker, Albert E.
: Using the C/ DFR model, biofilms were grown on the top of polycarbonate filter membranes inoculated was conducted. The Dakins solution in both models produced statistically significantly higher log reductions
Development of an entrained flow gasifier model for process optimization study
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.
ORIGINAL ARTICLE A Constitutive Model For the Warp-Weft Coupled Non-linear
Reddy, Batmanathan Dayanand "Daya"
) on the development of airship fabrics. However, the first real model for fabric forces was presented by Peirce (1937
A Technical Review on Biomass Processing: Densification, Preprocessing, Modeling and Optimization
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.
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.
ORIGINAL PAPER 1D Model of Precursors to Frictional Stick-Slip Motion Allowing
Scheibert, Julien
], using a 1D spring-block model with a simple Amontons-Coulomb (AC) friction law, showed that the length November 2011 Ó Springer Science+Business Media, LLC 2011 Abstract In this article, we studythe dynamic], using a one-dimen- sional (1D) spring-block model with a complex time- dependent friction law, produced
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.
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.
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
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
ORIGINAL PAPER Application of the DNDC model to tile-drained Illinois
to assess the impact of specific management practices on N loss from agricultural systems. Mechanistic calibration of DNDC resulted in a good statistical fit between model output and IL data for crop yield, NO3N + , NO3 - , NOx, and N2O) (Vitousek et al. 1997; Galloway et al. 2003, 2004), with agriculture accounting
Optimization Online Digest -- April 2015
Sparse optimization for inverse problems in atmospheric modelling. Lukas Adam ... JuMP: A modeling language for mathematical optimization. Iain Dunning ...
Optimization of relativistic mean field model for finite nuclei to neutron star matter
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.
Optimization Under Generalized Uncertainty
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
Groundwater transport modeling of constituents originating from the Burial Grounds Complex
Andersen, P.F.; Shupe, M.G.; Spalding, C.P. [GeoTrans, Inc., Sterling, VA (US)
1992-10-30T23:59:59.000Z
The Savannah River Site (SRS), operates a number of sites for the land disposal of various leachable radionuclide, organic, and inorganic wastes. Located within the General Separations Area (GSA) of SRS are the Low Level Radioactive Waste Disposal Facility (LLRWDF) and the Old Burial Ground (OBG). A portion of the LLRWDF has been designated as the Mixed Waste Management Facility (MWMF). The OBG began receiving waste in 1952 and was closed in 1974. Various wastes, including transuranic, intermediate and low level beta-gamma, and solvents, were received during this period of operation. In 1969, prior to the closing of the OBG, a portion of the MWMF/LLRWDF (the MWMF) began receiving waste. GeoTrans, Inc. was contracted by WSRC to conduct a numerical modeling study to assess groundwater flow and contaminant transport in the vicinity of the MWMF in support of an Alternate Concentration Limits demonstration for the Part B permit. The project was divided into two phases: development of a groundwater flow model of the hydrogeologic system underlying the MWMF which includes the entire GSA, and development of a solute transport model to assess migration of 19 designated constituents of concern (COCs) over a period 30 years into the future. The first phase was completed in May of 1992 and the results documented in GeoTrans (1992). That report serves as the companion volume to the present contaminant transport modeling report. The transport study is intended to develop predictions of concentration and mass flux of the 19 COCs at downgradient exposure points over the 30 year period of interest. These results are to be used in human health and ecological risk assessments which are also being performed in support of the Part B permit.
Origins of Eccentric Extrasolar Planets: Testing the Planet-Planet Scattering Model
Eric B. Ford; Frederic A. Rasio
2008-06-06T23:59:59.000Z
(Abridged) In planetary systems with two or more giant planets, dynamical instabilities can lead to collisions or ejections through strong planet--planet scattering. Previous studies for simple initial configurations with two equal-mass planets revealed some discrepancies between the results of numerical simulations and the observed orbital elements of extrasolar planets. Here, we show that simulations with two unequal mass planets starting on nearly circular orbits predict a reduced frequency of collisions and a broader range of final eccentricities. The two-planet scattering model can easily reproduce the observed eccentricities with a plausible distribution of planet mass ratios. Further, the two-planet scattering model predicts a maximum eccentricity of about 0.8, independent of the distribution of planet mass ratios, provided that both planets are initially place on nearly circular orbits. This compares favorably with current observations and will be tested by future planet discoveries. The combination of planet--planet scattering and tidal circularization may be able to explain the existence of some giant planets with very short period orbits. Orbital migration due to planet scattering could play an important role in explaining the increased rate of giant planets with very short period orbits. We also re-examine and discuss various possible correlations between eccentricities and other properties of observed extrasolar planets. We demonstrate that the observed distribution of planet masses, orbital periods, and eccentricities can provide constraints for models of planet formation and evolution.
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
Discretized Maximum Likelihood and Almost Optimal Adaptive Control of Ergodic Markov Models
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...
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.
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
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
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
A Full Demand Response Model in Co-Optimized Energy and
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.
Merging spatially variant physical process models under an optimized systems dynamics framework.
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.
Physical Origin of Density Dependent Force of the Skyrme Type within the Quark Meson Coupling Model
Pierre Guichon; Hrayr Matevosyan; N. Sandulescu; Anthony Thomas
2006-03-17T23:59:59.000Z
A density dependent, effective nucleon-nucleon force of the Skyrme type is derived from the quark-meson coupling model--a self-consistent, relativistic quark level description of nuclear matter. This new formulation requires no assumption that the mean scalar field is small and hence constitutes a significant advance over earlier work. The similarity of the effective interaction to the widely used SkM* force encourages us to apply it to a wide range of nuclear problems, beginning with the binding energies and charge distributions of doubly magic nuclei. Finding impressive results in this conventional arena, we apply the same effective interaction, within the Hartree-Fock-Bogoliubov approach, to the properties of nuclei far from stability. The resulting two neutron drip lines and shell quenching are quite satisfactory. Finally, we apply the relativistic formulation to the properties of dense nuclear matter in anticipation of future application to the properties of neutron stars.
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
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
Modeling of an eye-imaging system for optimizing illumination schemes in an eye-tracked head-mounted
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
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
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
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
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
FEDSOL: economic optimization guide for solar federal buildings projects. Model-simulation
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.
Network-Level Reliability-Based Bridge Inspection, Maintenance and Replacement Optimization Model
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
Original article A reparameterization to improve
Boyer, Edmond
Original article A reparameterization to improve numerical optimization in multivariate REML (co numerical optimization on the basis of Downhill-Simplex (DS) or quasi- Newton (QN) procedures suffers from / optimization / quasi-Newton / Downhill-Simplex / reparame- terization RÃ©sumÃ© - Un reparamÃ©trage pour amÃ©liorer
Optimization of Fault Detection/Diagnosis Model for Thermal Storage System Using AIC
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...
Modeling and Optimization of Direct Chill Casting to Reduce Ingot Cracking
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
Optimization Online Digest -- March 2009
Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...
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.
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.
Optimization Online Digest -- March 2014
An Improved Stochastic Optimization Model for Water Supply Pumping Systems in Urban ... Robust optimal sizing of an hybrid energy stand-alone system
Modeling and design optimization of adhesion between surfaces at the microscale.
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.
Hydraulic Fracture Optimization with a Pseudo-3D Model in Multi-layered Lithology
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 ...
A multiperiod optimization model to schedule large-scale petroleum development projects
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...
OLAF ---A General Modeling System to Evaluate and Optimize the Location of an Air
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
A Research on Production Optimization of Coupled Surface and Subsurface Model
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...
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
On the use of consistent approximations for the optimal design of beams
Polak, E.; Neto, C.K.
1994-12-31T23:59:59.000Z
Most optimal design problems can only be solved through discretization. One solution strategy is to expand the original problem into an infinite sequence of finite dimensional, approximating nonlinear programming problems, which can be solved using standard algorithms. In this paper, an expansion strategy based on the concept of consistent approximations is proposed for certain optimal beam design problems, where the beam is modelled using Euler-Bernoulli beam theory. It is shown that any accumulation point of the sequence of the stationary points of the family of approximating problems is a stationary point of the original, infinite-dimensional problem. Numerical results are presented for problems of optimal design of fixed beams.
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.
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.
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.
Optimization in the Parikh-Wilczek tunneling model of Hawking radiation for Kerr-Newman Black Holes
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 $Q/M = 1$.
Optimization Online - All Areas Submissions - April 2015
Sparse optimization for inverse problems in atmospheric modelling. Lukas Adam ... JuMP: A modeling language for mathematical optimization. Iain Dunning ...
High Level Optimization Model for the Retrofit Planning of Process Networks
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
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
Constrained Multi-Objective GA Optimization Using Reduced Models Dept. of Computer Science
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
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
The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow
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
Stochastic Optimization of Electricity Portfolios: Scenario Tree Modeling and Risk Management
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
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
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
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
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding access toTest andOptimize carbon AboutOrganizing| Original
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 ...
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
Optimal DNA signal recognition models with a xed amount of intrasignal dependency
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
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 ...
MULTI-SCALE MODELING AND APPROXIMATION ASSISTED OPTIMIZATION OF BARE TUBE HEAT EXCHANGERS
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.
Optimization Online is a repository of e-prints about optimization and related topics. Submissions to Optimization Online are moderated by a team of volunteer
Paris-Sud XI, Université de
of models as tool for fault diagnosis systems. Nowadays, industrial robots living in stochastic environment
Richardson, Andrew D.
and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation
Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles
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,
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.
Convex Optimization Course Welcome Pack
Hall, Julian
1 NATCOR Convex Optimization Course 23rd Â 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
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...
Optimization Journals, Sites, Societies
Optimization Online Links. Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical ...
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...
Optimal Real-time Dispatch for Integrated Energy Systems
Firestone, Ryan Michael
2007-01-01T23:59:59.000Z
Renewable Energy Laboratory’s Hybrid Optimization Model forRenewable Energy Laboratory’s (NREL) Hybrid Optimization
Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles
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. ,
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.
HCCI engine control and optimization
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
Optimization Online - All Areas Submissions - March 2009
Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...
Signal reconstruction by a GA-optimized ensemble of PCA models P. Baraldi1
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
Case-Based Reasoning vs Parametric Models for Software Quality Optimization
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
A Fixed Point Charge Model for Water Optimized to the Vapor-Liquid Coexistence Properties
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
Tax policy can change the production path: A model of optimal oil extraction in Alaska
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
Optimization Online - Stochastic Optimization Approach to Water ...
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 ...
Optimal modeling of 1D azimuth correlations in the context of Bayesian inference
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...
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...
Discrete optimization methods to fit piecewise-affine models to data ...
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-.
Modeling and Optimization of Matrix Acidizing in Horizontal Wells in Carbonate Reservoirs
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...
OLAF _ A General Modeling System to Evaluate and Optimize the Location of an Air
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
Discrete optimization methods to fit piecewise-affine models to data ...
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- ...
Model-constrained optimization methods for reduction of parameterized large-scale systems
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 ...
Model-Constrained Optimization Methods for Reduction of Parameterized Large-Scale Systems
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 ...
Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program
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...
State-space modeling and optimal control of ship motions in a seastate
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 ...
Optimization Online - Augmented L1 and Nuclear-Norm Models with ...
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 ...
Marcelo Gleiser; Sara Imari Walker
2008-02-20T23:59:59.000Z
A generalized autocatalytic model for chiral polymerization is investigated in detail. Apart from enantiomeric cross-inhibition, the model allows for the autogenic (non-catalytic) formation of left and right-handed monomers from a substrate with reaction rates $\\epsilon_L$ and $\\epsilon_R$, respectively. The spatiotemporal evolution of the net chiral asymmetry is studied for models with several values of the maximum polymer length, N. For N=2, we study the validity of the adiabatic approximation often cited in the literature. We show that the approximation obtains the correct equilibrium values of the net chirality, but fails to reproduce the short time behavior. We show also that the autogenic term in the full N=2 model behaves as a control parameter in a chiral symmetry- breaking phase transition leading to full homochirality from racemic initial conditions. We study the dynamics of the N -> infinity model with symmetric ($\\epsilon_L = \\epsilon_R$) autogenic formation, showing that it only achieves homochirality for $\\epsilon development of homochirality in prebiotic Earth and possible experimental verification of our findings.
Original article Restricted maximum likelihood
Paris-Sud XI, Université de
Original article Restricted maximum likelihood estimation of covariances in sparse linear models on the simplex algorithm of Nelder and Mead [40]. Kovac [29] made modifications that turned it into a stable
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.
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.
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 ...
Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program
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...
A parametric building energy cost optimization tool based on a genetic algorithm
Tan, Xiaowei
2007-09-17T23:59:59.000Z
Sheng-Jen Hsieh Donald R. Smith Coordinator, College of Engineering, N. K. Anand May 2006 Major Subject: Engineering iii ABSTRACT A Parametric Building Energy Cost Optimization Tool Based on a Genetic Algorithm. (May 2006) Xiaowei Tan, B.......................................................................................5 III.1. Project Origin.............................................................................................5 III.2. Applicable Models .....................................................................................7 III.3. Input...
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...
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
Long Proteins with Unique Optimal Foldings in the H-P Model ?
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
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...
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
RESERVOIR MODEL OPTIMIZATION UNDER UNCERTAINTY Sasanka Are, Paul Dostert, Bree Ettinger
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
Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks
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
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
Optimization Online - All Areas Submissions - October 2014
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
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
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
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
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...
Paris-Sud XI, UniversitÃ© 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
Efficient Nonlinear Optimization with Rigorous Models for Large Scale Industrial Chemical Processes
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...
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...
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.
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.
Control and optimization system
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.
Nielsen, Finn Ã?rup
Canonical Ridge Analysis with Ridge Parameter Optimization F. Ã?. Nielsen, L. K. Hansen and S. C - PLS 1 = k 0 = k optimal k k = optimal k k Â£ Â£ 0 #12; Canonical Ridge Analysis with Ridge Parameter Optimization F. Ã?. Nielsen, L. K. Hansen and S. C. Strother The Human Brain Project, P20 MH57180 ``Spatial
Modeling and Optimization of Direct Chill Casting to Reduce Ingot Cracking
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
An optimization model for strategic supply chain design under stochastic capacity disruptions
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...
An optimization model for strategic supply chain design under stochastic capacity disruptions
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...
Lebreton, J; Augereau, J -C; Absil, O; Mennesson, B; Kama, M; Dominik, C; Bonsor, A; Vandeportal, J; Beust, H; Defrère, D; Ertel, S; Faramaz, V; Hinz, P; Kral, Q; Lagrange, A -M; Liu, W; Thébault, P
2013-01-01T23:59:59.000Z
[Abridged] Debris disks are extrasolar analogs to the solar system planetesimal belts. The star Fomalhaut harbors a cold debris belt at 140 AU as well as evidence of a warm dust component, which is suspected of being a bright analog to the solar system's zodiacal dust. Interferometric observations obtained with the VLTI and the KIN have identified near- and mid-infrared excesses attributed to hot and warm exozodiacal dust in the inner few AU of the star. We performed parametric modeling of the exozodiacal disk using the GRaTeR radiative transfer code to reproduce the interferometric data, complemented by mid- to far-infrared measurements. A detailed treatment of sublimation temperatures was introduced to explore the hot population at the sublimation rim. We then used an analytical approach to successively testing several source mechanisms. A good fit to the data is found by two distinct dust populations: (1) very small, hence unbound, hot dust grains confined in a narrow region at the sublimation rim of carbo...
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.
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...
A Jackson Network Model and Threshold Policy for Joint Optimization of Energy and Delay in Multi-Hop
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
CONTROL AND OPTIMIZATION SPRING 2012
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
Optimization Online - Enter Your Password to Continue
Update Entry. Optimization Models for Differentiating Quality of Service Levels in Probabilistic Network Capacity Design Problems. Enter the Article Password:.
Broader source: Energy.gov [DOE]
Original Impact Calculations, from the Tool Kit Framework: Small Town University Energy Program (STEP).
Optimization 1-1 Convex Optimization & Duality
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
Stochastic Optimization of Complex Systems
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.
Optimal Real-time Dispatch for Integrated Energy Systems
Firestone, Ryan Michael
2007-01-01T23:59:59.000Z
Hybrid Optimization Model for Electric Renewables heating, ventilation, and air conditioning integrated energy system
OPTIMIZATION TOPICS LIST Revised April 2012
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 Â· Existence of optimal solutions, optimality conditions Â· Branch and bound methods
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.
Direct optimization overly optimizes data Kazunori Yoshizawa
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
MPQC: Performance Analysis and Optimization
Sarje, Abhinav; Williams, Samuel; Bailey, David
2012-11-30T23:59:59.000Z
MPQC (Massively Parallel Quantum Chemistry) is a widely used computational quantum chemistry code. It is capable of performing a number of computations commonly occurring in quantum chemistry. In order to achieve better performance of MPQC, in this report we present a detailed performance analysis of this code. We then perform loop and memory access optimizations, and measure performance improvements by comparing the performance of the optimized code with that of the original MPQC code. We observe that the optimized MPQC code achieves a significant improvement in the performance through a better utilization of vector processing and memory hierarchies.
Multiperiod Refinery Planning Optimization
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 Â· What crude oil to process and in which time period? Â· The quantities
Optimization of Heat Exchangers
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.
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.
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
Robust optimization based self scheduling of hydro-thermal Genco ...
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 ...
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...
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 $n\\gg 1$.
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
Nuclear Energy Density Optimization
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.
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.
Dynamic programming approach to adjustable robust optimization
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 (
Comments on “Dual Methods for Nonconvex Spectrum Optimization ...
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.
Optimization Online - Optimizing Preventive Maintenance Models
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 ...
Fuzzy logic controller optimization
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.
Optimization Online - Nonlinear Optimization Submissions - 2012
Sonia Cafieri, Alberto Costa, Pierre Hansen. February 2012. Unconstrained Optimization Smoothing SQP Algorithm for Non-Lipschitz Optimization with ...
Optimization Online - Nonlinear Optimization Submissions - 2003
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Optimization Online - Nonlinear Optimization Submissions - 2001
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Optimization Online - Global Optimization Submissions - 2007
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Optimization Online - Global Optimization Submissions - 2001
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Optimization Online - Nonlinear Optimization Submissions - 2000
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Optimization Online - Combinatorial Optimization Submissions - 2002
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
Direct aperture optimization for online adaptive radiation therapy
Mestrovic, Ante; Milette, Marie-Pierre; Nichol, Alan; Clark, Brenda G.; Otto, Karl [Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada and Medical Physics, BC Cancer Agency-Vancouver Centre, Vancouver, British Columbia (Canada); Physics and Astronomy, University of British Columbia, Vancouver, British Columbia (Canada) and Medical Physics, BC Cancer Agency-Centre for the Southern Interior, Kelowna, British Columbia (Canada); Department of Radiation Oncology, BC Cancer Agency-Vancouver Centre, Vancouver, British Columbia (Canada); Medical Physics, Ottawa Hospital Regional Cancer Centre, Ottawa, Ontario (Canada); Medical Physics, BC Cancer Agency-Vancouver Centre, Vancouver, British Columbia (Canada)
2007-05-15T23:59:59.000Z
This paper is the first investigation of using direct aperture optimization (DAO) for online adaptive radiation therapy (ART). A geometrical model representing the anatomy of a typical prostate case was created. To simulate interfractional deformations, four different anatomical deformations were created by systematically deforming the original anatomy by various amounts (0.25, 0.50, 0.75, and 1.00 cm). We describe a series of techniques where the original treatment plan was adapted in order to correct for the deterioration of dose distribution quality caused by the anatomical deformations. We found that the average time needed to adapt the original plan to arrive at a clinically acceptable plan is roughly half of the time needed for a complete plan regeneration, for all four anatomical deformations. Furthermore, through modification of the DAO algorithm the optimization search space was reduced and the plan adaptation was significantly accelerated. For the first anatomical deformation (0.25 cm), the plan adaptation was six times more efficient than the complete plan regeneration. For the 0.50 and 0.75 cm deformations, the optimization efficiency was increased by a factor of roughly 3 compared to the complete plan regeneration. However, for the anatomical deformation of 1.00 cm, the reduction of the optimization search space during plan adaptation did not result in any efficiency improvement over the original (nonmodified) plan adaptation. The anatomical deformation of 1.00 cm demonstrates the limit of this approach. We propose an innovative approach to online ART in which the plan adaptation and radiation delivery are merged together and performed concurrently--adaptive radiation delivery (ARD). A fundamental advantage of ARD is the fact that radiation delivery can start almost immediately after image acquisition and evaluation. Most of the original plan adaptation is done during the radiation delivery, so the time spent adapting the original plan does not increase the overall time the patient has to spend on the treatment couch. As a consequence, the effective time allotted for plan adaptation is drastically reduced. For the 0.25, 0.5, and 0.75 cm anatomical deformations, the treatment time was increased by only 2, 4, and 6 s, respectively, as compared to no plan adaptation. For the anatomical deformation of 1.0 cm the time increase was substantially larger. The anatomical deformation of 1.0 cm represents an extreme case, which is rarely observed for the prostate, and again demonstrates the limit of this approach. ARD shows great potential for an online adaptive method with minimal extension of treatment time.
Heat pump simulation model and optimal variable-speed control for a wide range of cooling conditions
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 ...
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.
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.
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.
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
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
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
Optimizing Profits from Hydroelectricity Production
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
Optimization Online Digest -- March 2008
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 ...
Optimization as an Internet Resource
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, ...
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.
Optimal Power Dispatch via Multistage Stochastic Programming
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
Vehicle Technologies and Bus Fleet Replacement Optimization
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
CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS
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
ONLINE OPTIMIZATION AND SELECTION OF MEASUREMENTS
Skogestad, Sigurd
117 Chapter 7 ONÂLINE 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
Interconnection networks synthesis and optimization
Zhu, Yi
2008-01-01T23:59:59.000Z
Synthesis and Optimization . . . . . . . . . . .1.Wire Style Optimization . . . . . . . . . . . . . B. PowerSynthesis and Optimization . 1. Overview . . . . . . . . . .
, 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
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. ...
Fuzzy Optimality and Evolutionary Multiobjective Optimization
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
Optimization Online - Applications — OR and Management ...
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 ...
The optimal harvesting problem with price uncertainty
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.
Optimization Online - All Areas Submissions - November 2013
Variational analysis in psychological modeling T.Q. Bao ... Derivative-free Robust Optimization for Circuit Design ... Linear, Cone and Semidefinite Programming
Origin State Destination State
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
5. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama...
Origin State Destination State
Gasoline and Diesel Fuel Update (EIA)
6. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama...
Optimization Online An E-Print Site for the Optimization Community. Network Optimization submissions; 2001 · 2003 · 2004 · 2005 · 2006 · 2007 · 2008 · 2009
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
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and Biofuels Biomass and OrganizationalOriginal Original
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.
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.
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...
Kumar, M. Jagadesh
in power systems have been explored and compared Balanced truncation (BT) and Krylov subspace between the wind velocity/system frequency and the power output. These linear models, validated using DigABSTRACT This thesis applies model order reduction (MOR) techniques to large modern power systems
Optimization of Fuel Cell System Operating Conditions for Fuel Cell Vehicles
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
Analysis and optimization of a free-electron laser with an irregular waveguide
V. A. Goryashko
2010-04-08T23:59:59.000Z
Using a time-dependent approach the analysis and optimization of a planar FEL-amplifier with an axial magnetic field and an irregular waveguide is performed. By applying methods of nonlinear dynamics three-dimensional equations of motion and the excitation equation are partly integrated in an analytical way. As a result, a self-consistent reduced model of the FEL is built in special phase space. The reduced model is the generalization of the Colson-Bonifacio model and takes into account the intricate dynamics of electrons in the pump magnetic field and the intramode scattering in the irregular waveguide. The reduced model and concepts of evolutionary computation are used to find optimal waveguide profiles. The numerical simulation of the original non-simplified model is performed to check the effectiveness of found optimal profiles. The FEL parameters are chosen to be close to the parameters of the experiment (S. Cheng et al. IEEE Trans. Plasma Sci. 1996, vol. 24, p. 750), in which a sheet electron beam with the moderate thickness interacts with the TE01 mode of a rectangular waveguide. The results strongly indicate that one can improve the efficiency by a factor of five or six if the FEL operates in the magnetoresonance regime and if the irregular waveguide with the optimized profile is used.
Optimal wind patterns for biological production in shelf ecosystems driven by coastal upwelling
Yokomizo, Hiroyuki; Botsford, Louis W.; Holland, Matthew D.; Lawrence, Cathryn A.; Hastings, Alan
2010-01-01T23:59:59.000Z
The phytoplankton bloom response to wind events and upwelled0053-5 ORIGINAL PAPER Optimal wind patterns for biologicalto their area. Upwelling winds have the counter- acting
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
International Conference on Experiments/Process/System Modelling/Simulation/Optimization 1 IC-EpsMsO
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
Optimization Online - What Works Best When? A Framework for ...
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 ...
Optimization Methods for Disease Prevention and Epidemic Control ...
2013-09-29T23:59:59.000Z
Department of Electrical Engineering and Computer Science, Vanderbilt University ... is to formulate mathematical optimization models, for identifying which ...
ORIGINAL ARTICLE A methodology for the optimization of PCD compact
algorithms for a computer code (PDCWEAR) that predicts the performance and wear of polycrystalline diamond rotary drilling approach using a polycrystalline diamond (PCD) drill bit. Hamade et al. [810] utilized
ORIGINAL RESEARCH Open Access Acquisition setting optimization and quantitative
Boyer, Edmond
studies with the Inveon microPET-CT system Nadège Anizan1* , Thomas Carlier1 , Cecilia Hindorf1 was the Inveon PET/CT system dedicated to small animal imaging. Methods: The noise equivalent count rate [NECR. Keywords: small animal imaging, PET/CT, iodine-124, quantitative imaging Background Small animal imaging
Optimization Online - Optimality conditions for various efficient ...
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 ...
Optimization Online - Nonlinear Optimization Submissions - 2013
Second-order necessary conditions in Pontryagin form for optimal control problems ... of Linear-Quadratic Optimal Control Problems for Two-Steps Systems
Optimization Online - Nonlinear Optimization Submissions - 2014
January 2014. Constrained Nonlinear Optimization New active set identification for general constrained optimization and minimax problems. Jin-bao Jian, Yi Liu.
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 Â· Robert MacArthur Â· Eric Pianka http
Advanced Review Geometry optimization
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
[SIAM conference on optimization
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.
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
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.
Optimization Online is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.
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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.
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.
Strong Equivalence of Qualitative Optimization Problems
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...
Design of nonlinear MPC by Kriging-based optimization
Paris-Sud XI, UniversitÃ© de
Design of nonlinear MPC by Kriging-based optimization Julien Marzat, HÃ©lÃ¨ne 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
Optimization of thermal comfort in building through envelope design
Paris-Sud XI, UniversitÃ© 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
Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu
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
Optimal segmentation and packaging process
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.
Borah, Debasish; Adhikari, Rathin
2015-01-01T23:59:59.000Z
We attempt to simultaneously explain the recently observed 3.55 keV X-ray line in the analysis of XMM-Newton telescope data and the galactic center gamma ray excess observed by the Fermi gamma ray space telescope within an abelian gauge extension of standard model. We consider a two component dark matter scenario with a mass difference 3.55 keV such that the heavier one can decay into the lighter one and a photon with energy 3.55 keV. The lighter dark matter candidate is protected from decaying into the standard model particles by a remnant $Z_2$ symmetry into which the abelian gauge symmetry gets spontaneously broken. If the mass of the dark matter particle is chosen to be within $31-40$ GeV, then this model can also explain the galactic center gamma ray excess if the dark matter annihilation into $b\\bar{b}$ pairs has a cross section of $\\langle \\sigma v \\rangle \\simeq (1.4-2.0) \\times 10^{-26} \\; \\text{cm}^3/\\text{s}$. We constrain the model from the requirement of producing correct dark matter relic densit...
Matlab-based Optimization: Optimization Toolbox
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
Sootblowing optimization for improved boiler performance
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.
Sootblowing optimization for improved boiler performance
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.
Event-driven multithreaded dynamic optimization
Zhang, Weifeng
2006-01-01T23:59:59.000Z
Speci?c Optimizations . . . . . . . . . . . . . F.3. Trace Optimization Overhead . . . . . . . . . . . . . . .Dynamic Optimization . . . . . . .B. Optimizations with the
NEUROROBOTICS ORIGINAL RESEARCH ARTICLE
Paris-Sud XI, UniversitÃ© de
-inspiration, prefrontal cortex INTRODUCTION In controlled environments (e.g., industrial applications), robots can achieve is to liberate robots from controlled industrial settings, and allow them to interact with humans and changingNEUROROBOTICS ORIGINAL RESEARCH ARTICLE published: 1 July 2011 doi: 10.3389/fnbot.2011.00001 Robot
Lincoln, Don
2014-08-07T23:59:59.000Z
The Higgs boson was discovered in July of 2012 and is generally understood to be the origin of mass. While those statements are true, they are incomplete. It turns out that the Higgs boson is responsible for only about 2% of the mass of ordinary matter. In this dramatic new video, Dr. Don Lincoln of Fermilab tells us the rest of the story.
Lincoln, Don
2014-07-30T23:59:59.000Z
The Higgs boson was discovered in July of 2012 and is generally understood to be the origin of mass. While those statements are true, they are incomplete. It turns out that the Higgs boson is responsible for only about 2% of the mass of ordinary matter. In this dramatic new video, Dr. Don Lincoln of Fermilab tells us the rest of the story.
Polak, E.
1994-12-31T23:59:59.000Z
Unlike the situation with most other problems, the concept of a solution to an optimization problem is not unique, since it includes global solutions, local solutions, and stationary points. Earlier definitions of a consistent approximation to an optimization problem were in terms of properties that ensured that the global minimizers of the approximating problems (as well as uniformly strict local minimizers) converge only to global minimizers (local minimizers) of the original problems. Our definition of a consistent approximation addresses the properties not only of global and local solutions of the approximating problems, but also of their stationary points. Hence we always consider a pair, consisting of an optimization problem and its optimality function, (P, {theta}), with the zeros of the optimality function being the stationary points of P. We define consistency of approximating problem-optimality function pairs, (P{sub N}, {theta}{sub N}) to (P, {theta}), in terms of the epigraphical convergence of the P{sub N} to P, and the hypographical convergence of the optimality functions {theta}{sub N} to {theta}. As a companion to the characterization of consistent approximations, we will present two types of {open_quotes}diagonalization{close_quotes} techniques for using consistent approximations and {open_quotes}hot starts{close_quotes} in obtaining an approximate solution of the original problems. The first is a {open_quotes}filter{close_quotes} type technique, similar to that used in conjunction with penalty functions, the second one is an adaptive discretization technique with nicer convergence properties. We will illustrate the use of our concept of consistent approximations with examples from semi-infinite optimization, optimal control, and shape optimization.
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.
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.
Construction and Refinement of Coarse-Grained Models
Xin Zhou
2008-12-03T23:59:59.000Z
A general scheme, which includes constructions of coarse-grained (CG) models, weighted ensemble dynamics (WED) simulations and cluster analyses (CA) of stable states, is presented to detect dynamical and thermodynamical properties in complex systems. In the scheme, CG models are efficiently and accurately optimized based on a directed distance from original to CG systems, which is estimated from ensemble means of lots of independent observable in two systems. Furthermore, WED independently generates multiple short molecular dynamics trajectories in original systems. The initial conformations of the trajectories are constructed from equilibrium conformations in CG models, and the weights of the trajectories can be estimated from the trajectories themselves in generating complete equilibrium samples in the original systems. CA calculates the directed distances among the trajectories and groups their initial conformations into some clusters, which correspond to stable states in the original systems, so that transition dynamics can be detected without requiring a priori knowledge of the states.
Robert C. Haight; John L. Ullmann; Daniel D. Strottman; Paul E. Koehler; Franz Kaeppeler
2000-01-01T23:59:59.000Z
This Workshop was held on September 3--4, 1999, following the 10th International Symposium on Capture Gamma-Ray Spectroscopy. Presentations were made by 14 speakers, 6 from the US and 8 from other countries on topics relevant to s-, r- and rp-process nucleosynthesis. Laboratory experiments, both present and planned, and astrophysical observations were represented as were astrophysical models. Approximately 50 scientists participated in this Workshop. These Proceedings consist of copies of vu-graphs presented at the Workshop. For further information, the interested readers are referred to the authors.
Michaelian, K
2009-01-01T23:59:59.000Z
Understanding the thermodynamic function of life may shed light on its origin. Out of equilibrium structuring in space and time is contingent on continuous entropy production. Entropy production is a measure of the rate of the natural tendency of Nature to explore all available microstates. The process producing the greatest amount of entropy in the biosphere is the absorption and transformation of sunlight, leading to the transpiration of water by plants and cyanobacteria. Here we hypothesize that life began, and exists today, as a dynamic catalyst for the absorption and transformation of sunlight into heat, which could then be efficiently harvested by the water cycle, hurricanes, and ocean and wind currents. RNA and DNA are the most efficient of all known molecules for absorbing the ultraviolet light that could have penetrated the dense early atmosphere, and are extremely rapid in transforming this light into heat that can be readily absorbed by liquid water. The origin and evolution of life was thus driven...
Article original Pollution fluore
Paris-Sud XI, UniversitÃ© de
Article original Pollution fluorÃ©e et croissance radiale des conifÃ¨res en Maurienne (Savoie, France; acceptÃ© le 24 juillet 1989) RÃ©sumÃ© - La recherche de l'impact de la pollution fluorÃ©e sur la croissance en en fonction de l'Ã©loignement des sources de pollution, l'exposition et l'altitude. L'Ã©- tude porte
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and Biofuels Biomass and OrganizationalOriginal Signatures
Turbo Decoding as Constrained Optimization John M. Walsh
Regalia, Phillip A.
Turbo Decoding as Constrained Optimization John M. Walsh School of Elec. and Comp. Eng. Cornell. Cornell University Ithaca, NY 14850 johnson@ece.cornell.edu June 25, 2005 Abstract The turbo decoder was not originally introduced as a solution to an optimization problem. This has made explaining just why the turbo
The optimization problem Genetic Algorithm
GimÃ©nez, 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
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 ...
Optimization Methods and Software Vol. 00, No. 00, Month 200x, 118
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
Industrial Optimization Compact Course
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 17Â20, 2014 Â·9.00Â17.00 IWR Â·Im Neuenheimer Feld 368 Â·69120 Heidelberg www
An Optimal Control Approach to Cancer Treatment under Immunological Activity
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
Optimal and Hierarchical Control Travis DeWolf
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
Optimal Power Dispatch via Multistage Stochastic Programming \\Lambda
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
Goel, Ashvin
Fast, Optimized Sun RPC Using Automatic Program Specialization Gilles Muller, Renaud Marlet, Calton automatic optimization of an existing, commercial RPC implementation, namely the Sun RPC. The optimized Sun the original Sun RPC. Close examination of the specialized code does not reveal further optimization
Optimization and geophysical inverse problems
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
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 ...
Compiler Optimization Jordan Bradshaw
Valtorta, Marco
Compiler Optimization Jordan Bradshaw #12;Outline Overview Goals and Considerations Â Scope. 346- 352. Print. "Compiler Optimization." Wikipedia. Wikimedia Foundation, 25 04 2010. Web. 25 Apr 2010. #12;Compiler Optimization Goals: Â Speed
Pessimistic Bilevel Optimization
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 ...
Optimization Online - Convex and Nonsmooth Optimization ...
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
Origin and Structure of Dynamic Cooperative Networks
Hauert, Christoph
Origin and Structure of Dynamic Cooperative Networks Lucas Wardil & Christoph Hauert Department the local structure of the social network. Here we propose a simple theoretical framework to model dynamic among coop- erators24 . Social networks represent a dynamical abstraction of social structures
Optimization Online - An MILP-MINLP decomposition method for the ...
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.
Optimal Sequencing of Central Refrigeration Equipment in an Industrial Plant
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...
Optimization Online - Stochastic Topology Design Optimization for ...
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.
Optimization Online - Machine Learning for Global Optimization
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, ...
Optimization Online - Nonsmooth Optimization via BFGS
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.
Optimization Online - Optimal steepest descent algorithms for ...
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.
Optimization Online - Newton's Method for Multiobjective Optimization
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.
Optimization Online - A Robust Optimization Framework for ...
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.
Optimization Online - Towards nonsymmetric conic optimization
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.
Design of a building structural skin using multi-objective optimization techniques
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 ...
Beyond Optimality: New Trends in Network Optimization
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
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