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 ...
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
In the original fuel cell optimization model [11], only theIn the original fuel cell optimization model, only the dryof the fuel cell system and optimization of the operating
HOMER® Micropower Optimization Model
Lilienthal, P.
2005-01-01T23:59:59.000Z
NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.
ORIGINAL ARTICLE A methodology for the optimization of PCD compact
and significant. Specific to compact core drilling in basalt, Zacny and Cooper [7] utilized a conventional, coreORIGINAL ARTICLE A methodology for the optimization of PCD compact core drilling in basalt rock R This work presents an optimization technique using genetic algorithm for efficient core drilling in basalt
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
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
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.
Optimizing Preventive Maintenance Models
model is known which predicts the frequency of system failure as a function of its age;. and it is further ... of maintenance, repair and replacement. The final part ...
Energy Systems Optimization, Modeling, Simulation,
Qu, Zhihua
, and high penetra- tion level of renewable energy sources in the future smart grids make the application energy sources. Renewable en- ergy sources are of special interest as alternative energy. This has lead1 23 Energy Systems Optimization, Modeling, Simulation, and Economic Aspects ISSN 1868-3967 Volume
HOMER: The Micropower Optimization Model
Not Available
2004-03-01T23:59:59.000Z
HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.
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 and optimization of permanent magnetic motors
Pinkham, Andrew P
2008-01-01T23:59:59.000Z
This thesis develops analytic models for the prediction and optimization of radial-flux permanent magnet motor torque and efficiency. It also facilitates the design optimization of electromagnetically-powered rotorcraft ...
ORIGINAL ARTICLE Statistical optimization of growth media for Paecilomyces
Mittal, Aditya
optimized for obtaining high production of bio- mass and spores of a biocontrol agent, the entomopathogenic of Paecilomyces lilacinus as a biocontrol agent has been reported to control root-knot nematodes, greenhouse
optimal initial conditions for coupling ice sheet models to earth...
Office of Scientific and Technical Information (OSTI)
optimal initial conditions for coupling ice sheet models to earth system models Citation Details In-Document Search Title: optimal initial conditions for coupling ice sheet models...
Optimal Initial Conditions for Coupling Ice Sheet Models to Earth...
Office of Scientific and Technical Information (OSTI)
Optimal Initial Conditions for Coupling Ice Sheet Models to Earth System Models. Citation Details In-Document Search Title: Optimal Initial Conditions for Coupling Ice Sheet Models...
Reactor Modeling and Recipe Optimization of Polyether Polyol Processes
Grossmann, Ignacio E.
Reactor Modeling and Recipe Optimization of Polyether Polyol Processes Spring 2013 EWO Meeting Yisu.M. Wassick. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes: Polypropylene Glycol
Model-Based Transient Calibration Optimization for Next Generation...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel Engine...
MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES
Van den Hof, Paul
.mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust
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
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
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
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
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
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
Shi, Cong, Ph.D. Massachusetts Institute of Technology
2012-01-01T23:59:59.000Z
Many if not most of the core problems studied in operations management fall into the category of multi-stage stochastic optimization models, whereby one considers multiple, often correlated decisions to optimize a particular ...
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.
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
ORIGINAL PAPER Coupled fireatmosphere modeling of wildland fire
Xue, Ming
ORIGINAL PAPER Coupled fireatmosphere modeling of wildland fire spread using DEVS-FIRE and ARPS US Government 2015 Abstract This article introduces a new wildland fire spread prediction system consisting of the raster-based Discrete Event System Specification Fire model (DEVS-FIRE) and the Advanced
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...
H2 -optimal model reduction of MIMO systems
2007-09-28T23:59:59.000Z
Keyword Multivariable systems, model reduction, optimal H2 approximation, ... by the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), ..... Ae is stable (the Lyapunov equations are then invertible linear maps and the.
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. ...
Grothey, Andreas
Optimization Modelling Example Design Implementation Conclusions A Structure-Conveying Modelling Languages for Mathematical Programming 3 An example problem from network design 4 Design of Structured, K. Woodsend Structure-Conveying Modelling Language #12;Optimization Modelling Example Design
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
ORIGINAL PAPER Modeling the impacts of global warming on predation
ORIGINAL PAPER Modeling the impacts of global warming on predation and biotic resistance in regulating or limiting exotic prey. We investigate how global warming potentially alters the strength damselfly Megalag- rion calliphya as predator and the invasive southern house mosquito Culex
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
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
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
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 ...
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.
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).
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
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
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
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 ...
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 ...
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 ...
MIP Models and BB Strategies in Brachytherapy Treatment Optimization
Meyer, Robert R.
MIP Models and BB Strategies in Brachytherapy Treatment Optimization Robert R. Meyer (rrmMadison Abstract. Brachytherapy (brachy being derived from a Greek word meaning short) is the treatment of cancer: brachytherapy, prostate cancer, branchandbound, optimization, inte ger programming, treatment planning
Modeling and Optimal Design of Di ractive Optical Structures
Dobson, David C.
Modeling and Optimal Design of Di ractive Optical Structures Gang Bao Department of Mathematics be designed to perform functions unattainable with traditionaloptical elements. For example, structures and for the determination of optimal" device designs. In contrast to the case of traditional optical structures, geometrical
Simulation Models to Optimize the Energy Consumption of Buildings
Burhenne, S.; Jacob, D.
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...
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 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...
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...
Online Modeling in the Process Industry for Energy Optimization
Alexander, J.
1988-01-01T23:59:59.000Z
"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...
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...
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.
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
Gas permeation carbon capture --- Process modeling and optimization
Morinelly, Juan; Miller, David
2011-01-01T23:59:59.000Z
A multi-staged gas permeation carbon capture process model was developed in Aspen Custom Modeler{reg_sign} (ACM) and optimized in the context of the retrofit of a 550 MW subcritical pulverized coal (PC) power plant. The gas permeation stages in the process are described by a custom multi-component, hollowfiber membrane model. Gas transport across the asymmetric membrane was modeled according to the solution-diffusion model for the selective skin layer and the assumption of negligible flux resistance by the porous support. Counter-current, one-dimensional plug flow was assumed with permeate pressure drop in the fiber lumen side due to capillary constrained flow. A modular optimization framework was used to minimize the levelized cost of electricity (LCOE) by optimizing a set of key process variables. The framework allows the external control of multiple simulation modules from different software packages from a common interface.
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.
The Framework of an Optimization Model for the Thermal Design of Building Envelopes
Al-Homoud, M. S.; Degelman, L. O.; Boyer, L. L.
1994-01-01T23:59:59.000Z
is to describe the basic framework of a building thermal design optimization model by defining building design variables, a criterion of optimality, constraints, and a suitable thermal simulation model that can be integrated into the proper optimization technique....
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 Model-Based Production Planning
Grossmann, Ignacio E.
of the model Rj Rj-1+Bj (Ri reflux of column j) F1=Dj+Bk Successful model Example: 4 cascaded conventional: Ignacio Grossmann Chemical Engineering Department Carnegie Mellon University EWO Meeting September 2008
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...
Nonlinear Hybrid Dynamical Systems: Modeling, Optimal Control, and Applications
Stryk, Oskar von
Nonlinear Hybrid Dynamical Systems: Modeling, Optimal Control, and Applications Martin Buss1¨unchen, Germany Abstract. Nonlinear hybrid dynamical systems are the main focus of this paper. A modeling Introduction The recent interest in nonlinear hybrid dynamical systems has forced the merger of two very
Modeling and Optimizing Ergonomic Activities in Automobile Product Development
da Silva, Alberto Rodrigues
Modeling and Optimizing Ergonomic Activities in Automobile Product Development João Ferreira Anna.silva@acm.org Abstract We collect ergonomic rules and normative rules considerations for automobile business and modeled as use of past experience. Also we intend to define ergonomic associated templates, which reflect
Reconciling the optimal and empirical approaches to modelling stomatal conductance
atmospheric CO2, and thus can be used to test for stomatal acclimation to elevated CO2. The reconciliation cost of carbon gain. The new model is fitted to a range of datasets ranging from tropical to boreal models, marginal water cost of carbon, stomatal conductance, stomatal optimization Received 24 May 2010
Modeling recreational systems using optimization techniques and ...
2011-10-30T23:59:59.000Z
this paper, we review research works on modeling recreational systems. ...... In today's highly competitive market, market segmentation and control is a power-.
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 ...
Optimizing Symbolic Model Checking for Statecharts
Beame, Paul
model checking to a statecharts model, that of an electrical power distribution (EPD) system for Boeing checking based on binary decision diagrams is a powerful formal verification technique for reactive systems of a collision avoidance system and a fault- tolerant electrical power distribution (EPD) system, both used
Block-oriented modeling of superstructure optimization problems
Friedman, Z; Ingalls, J; Siirola, JD; Watson, JP
2013-10-15T23:59:59.000Z
We present a novel software framework for modeling large-scale engineered systems as mathematical optimization problems. A key motivating feature in such systems is their hierarchical, highly structured topology. Existing mathematical optimization modeling environments do not facilitate the natural expression and manipulation of hierarchically structured systems. Rather, the modeler is forced to "flatten" the system description, hiding structure that may be exploited by solvers, and obfuscating the system that the modeling environment is attempting to represent. To correct this deficiency, we propose a Python-based "block-oriented" modeling approach for representing the discrete components within the system. Our approach is an extension of the Pyomo library for specifying mathematical optimization problems. Through the use of a modeling components library, the block-oriented approach facilitates a clean separation of system superstructure from the details of individual components. This approach also naturally lends itself to expressing design and operational decisions as disjunctive expressions over the component blocks. By expressing a mathematical optimization problem in a block-oriented manner, inherent structure (e.g., multiple scenarios) is preserved for potential exploitation by solvers. In particular, we show that block-structured mathematical optimization problems can be straightforwardly manipulated by decomposition-based multi-scenario algorithmic strategies, specifically in the context of the PySP stochastic programming library. We illustrate our block-oriented modeling approach using a case study drawn from the electricity grid operations domain: unit commitment with transmission switching and N - 1 reliability constraints. Finally, we demonstrate that the overhead associated with block-oriented modeling only minimally increases model instantiation times, and need not adversely impact solver behavior. (C) 2013 Elsevier Ltd. All rights reserved.
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
constraints are identified to ensure convergence of the model Rj Rj-1+Bj (Ri reflux of column j) F1=Dj+Bkk=1 Grossmann Chemical Engineering Department Carnegie Mellon University EWO Meeting March 2008 #12
Optimal Model-Based Production Planning
Grossmann, Ignacio E.
of column j) F1=Dj+Bk Successful model Example: 4 cascaded conventional columns, with 18- component feed: Ignacio Grossmann Chemical Engineering Department Carnegie Mellon University EWO Meeting March 2009 #12
Optimal thermalization in a shell model of homogeneous turbulence
Thalabard, Simon
2015-01-01T23:59:59.000Z
We investigate the turbulence-induced dissipation of the large scales in a statistically homogeneous flow using an "optimal closure," which one of us (BT) has recently exposed in the context of Hamiltonian dynamics. This statistical closure employs a Gaussian model for the turbulent scales, with corresponding vanishing third cumulant, and yet it captures an intrinsic damping. The key to this apparent paradox lies in a clear distinction between true ensemble averages and their proxies, most easily grasped when one works directly with the Liouville equation rather than the cumulant hierarchy. We focus on a simple problem for which the optimal closure can be fully and exactly worked out: the relaxation arbitrarily far-from-equilibrium of a single energy shell towards Gibbs equilibrium in an inviscid shell model of 3D turbulence. The predictions of the optimal closure are validated against DNS and contrasted with those derived from EDQNM closure.
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
Surrogate modeling based on statistical techniques for multi-fidelity optimization
Lam, Rémi
2014-01-01T23:59:59.000Z
Designing and optimizing complex systems generally requires the use of numerical models. However, it is often too expensive to evaluate these models at each step of an optimization problem. Instead surrogate models can be ...
Optimal control of a dengue epidemic model with vaccination
Rodrigues, Helena Sofia; Torres, Delfim F M
2011-01-01T23:59:59.000Z
We present a SIR+ASI epidemic model to describe the interaction between human and dengue fever mosquito populations. A control strategy in the form of vaccination, to decrease the number of infected individuals, is used. An optimal control approach is applied in order to find the best way to fight the disease.
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
Modeling and Optimal Regulation of Erythropoiesis Subject to Benzene Intoxication
Modeling and Optimal Regulation of Erythropoiesis Subject to Benzene Intoxication H.T. Banks1.C. 27607-5298, email: ColeC@meredith.edu December 20, 2003 Abstract Benzene (C6H6) is a highly flammable, and industrial processes. Benzene increases the incidence of leukemia in humans when they are exposed to high
An Operational Model for Optimal NonDispatchable Demand Response
Grossmann, Ignacio E.
. Grossmann EWO Meeting, 03/09/2011 1 #12;Perspective of the Future Electric Power System Renewable StFACTS, $ Demand Response Energy Storage HVDC Industrial Customer PEV Renewable Energy Source: U.S.-Canada PowerAn Operational Model for Optimal NonDispatchable Demand Response for Continuous Powerintensive
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 With the advancement in directional drilling and hydraulic fracturing, shale gas is predicted to provide 46% of the United States natural gas supply by 20351 . The number of wells drilled in the Marcellus shale play has
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
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.
Optimal threshold policies in a workload model with a variable number of service phases per job
Brouns, Gido
and termination control, optimal threshold policies, Markov decision processes. 1 Introduction Workload models of performance optimization is the question of how to control some type of system in an optimal way within in literature so far. Stidham and Weber 4 present a comprehensive overview of models for the optimal control
Traffic Optimization to Control Epidemic Outbreaks in Metapopulation Models
Preciado, Victor M
2013-01-01T23:59:59.000Z
We propose a novel framework to study viral spreading processes in metapopulation models. Large subpopulations (i.e., cities) are connected via metalinks (i.e., roads) according to a metagraph structure (i.e., the traffic infrastructure). The problem of containing the propagation of an epidemic outbreak in a metapopulation model by controlling the traffic between subpopulations is considered. Controlling the spread of an epidemic outbreak can be written as a spectral condition involving the eigenvalues of a matrix that depends on the network structure and the parameters of the model. Based on this spectral condition, we propose a convex optimization framework to find cost-optimal approaches to traffic control in epidemic outbreaks.
Optimal Model of Distributed Energy System by Using GAMS and Case Study
Yang, Yongwen; Gao, Weijun; Ruan, Yingjun; Xuan, Ji; Zhou, Nan; Marnay, Chris
2005-01-01T23:59:59.000Z
Optimal Model of Distributed Energy System by Using GAMS andEnergy Reliability, Distributed Energy Program of the U.S.Optimal Model of Distributed Energy System by Using GAMS and
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
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
MATH 4/5794 Mathematical Modeling Demonstrations % MATH 4/5794: Optimization Modeling
Lodwick, Weldon
:'; ************************************************************ ************************************************************ *********** Multiple Sclerosis Plaque Detection ************ ************************************************************ ************************************************************ % MATH 4/5794: Optimization Modeling % EXAMPLES: W. A. Lodwick - Example 1, Multiple Sclerosis Plaque Detection % Example 2, Multiple Sclerosis Plaque Detection % Example 3, Multiple Sclerosis Plaque Detection
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
Cogeneration System Size Optimization Constant Capacity and Constant Demand Models
Wong-Kcomt, J. B.; Turner, W. C.
1993-01-01T23:59:59.000Z
the case of combined cycle plants, then the legal maximum size is limited by the industrial CHP load and/or the maximum connected power acceptable by the interconnected utility. This is the case of the so called "PURPA Machines". CCCD-l: A LINEAR MODEL..., Houston, Tx, March 24-25, 1993 Minimize {min TEAC I , min TEAC 2 , min TEAC 3 } Subject to the constraint set (CS): System curve: Hc = rc. Pc PURPA limit: Pc~Hd.Ne?/[2(0.425 -NJ) Non-negative size: Pc~ 0 The optimal solution to this model...
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.
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
Aalborg Universitet Modeling and Optimization of CatLiq Liquid Biofuel Process
Toor, Saqib
Aalborg Universitet Modeling and Optimization of CatLiq® Liquid Biofuel Process Toor, Saqib Sohail and Optimization of CatLiq® Liquid Biofuel Process. Department of Energy Technology, Aalborg University. General.aau.dk on: juli 05, 2015 #12;Modelling and Optimization of Catliq® Liquid Biofuel Process by Saqib Sohail
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.
Data-Driven Optimization for Modeling in Computer Graphics and Vision
Yu, Lap Fai
2013-01-01T23:59:59.000Z
optimization problem, including: Explicit Control: Users can have explicit control over the modeling process,process while having close, interactive control. For example, in the Clutterbrush project, an optimization-
Zhang, Xuesong
2009-05-15T23:59:59.000Z
This study focuses on developing and evaluating efficient and effective parameter calibration and uncertainty methods for hydrologic modeling. Five single objective optimization algorithms and six multi-objective optimization ...
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.
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.
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
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)
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.
Thermodynamic modeling and optimization of a screw compressor chiller and cooling tower system
Graves, Rhett David
2004-09-30T23:59:59.000Z
This thesis presents a thermodynamic model for a screw chiller and cooling tower system for the purpose of developing an optimized control algorithm for the chiller plant. The thermodynamic chiller model is drawn from the thermodynamic models...
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
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).
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
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 PAPER Modeling of SMF tsunami hazard along the upper US
Kirby, James T.
ORIGINAL PAPER Modeling of SMF tsunami hazard along the upper US East Coast: detailed impact around+Business Media Dordrecht 2014 Abstract With support from the US National Tsunami Hazard Mitigation Program (NTHMP), the authors have been developing tsunami inundation maps for the upper US East Coast (USEC), using high
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
A conceptual model for the origin of fault damage zone structures in high-porosity sandstone
Cowie, Patience
A conceptual model for the origin of fault damage zone structures in high-porosity sandstone Zoe K-porosity sandstones. Damage zone deformation has been particularly well constrained for two 4-km-long normal faults formed in the Navajo Sandstone of central Utah, USA. For these faults the width of the damage zone
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
Optimization and neural modelling of pulse combustors for drying applications
Zbicinski, I.; Smucerowicz, I.; Strumillo, C.; Kasznia, J.; Stawczyk, J.; Murlikiewicz, K. [Technical Univ. of Lodz (Poland). Faculty of Process and Environmental Engineering
1999-03-01T23:59:59.000Z
Results of investigations of a valved pulse combustor to choose optimal geometry, which covered measurements of the flow rates of air and fuel, pressure oscillations, including pressure amplitude and frequency and flue gas composition are presented in the paper. Experimental studies comparing the operation of the pulse combustor coupled with a drying chamber and working separately are described. It was found that coupling of the pulse combustor with a drying chamber had no significant effect on the pulse combustion process. Smoother runs of pressure oscillations in the combustion chamber, lower noise level and slightly higher NO{sub x} emission were observed. The velocity flow field inside the drying chamber was measured by LDA technique. Results confirmed a complex character of pulsating flow in the chamber. A large experimental data set obtained from measurements enabled developing a neural model of pulse combustion process. Artificial neural networks were trained to predict amplitudes and frequencies of pressure oscillations, temperatures in the combustion chamber and emission of toxic substances. An excellent mapping performance of the developed neural models was obtained. Due to complex character of the pulse combustion process, the application of artificial neural networks seems to be the best way to predict inlet parameters of drying agent produced by the pulse combustor.
An origin of the universe: a model alternative to Big Bang
Andrzej Mercik; Szymon Mercik
2006-04-04T23:59:59.000Z
We propose a new approach to the model of an origin of the universe built by Oscar Klein and Hannes Alfv\\'{e}n. Some modifications of assumptions underlying the model result in a possible scenario of the universe creation consistent with observations. We explain the large scale structre of the universe and we estimate the Hubble constant value as well as the number of galaxies in the universe. The model does not require many assumptions made in the model based on the Big Bang idea.
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
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
Finite Element Solution of Optimal Control Problems Arising in Semiconductor Modeling
Siefert, Chris
- timization problem, especially for highly heterogeneous materials with large jumps in material properties. 1Finite Element Solution of Optimal Control Problems Arising in Semiconductor Modeling Pavel Bochev, and inverse problems arising in the modeling of semiconductor devices lead to optimization problems
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
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.
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.
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.
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...
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...
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.
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.
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 ...
Modeling and Optimization of a Bioethanol Production Facility
Gabriel, Kerron Jude
2011-10-21T23:59:59.000Z
The primary objective of this work is to identify the optimal bioethanol production plant capacity and configuration based on currently available technology for all the processing sections involved. To effect this study, a systematic method...
Optimal reservoir management using adaptive reduced-order models
Alghareeb, Zeid M
2015-01-01T23:59:59.000Z
Reservoir management and decision-making is often cast as an optimization problem where we seek to maximize the field's potential recovery while minimizing associated operational costs. Two reservoir management aspects are ...
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...
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).
Power system analysis project Modeling and Sizing optimization of Stand-alone
Lavaei, Javad
to flexible wind directions and widely variable speed. The inclination and azimuth angle of solar panel-in, cut-out wind speed and rated power, into the optimization based on the real load of the site and writePower system analysis project Modeling and Sizing optimization of Stand-alone photovoltaic/wind
A Network Modeling Approach Optimization of Internet-Based Advertising Strategies and Pricing
Nagurney, Anna
A Network Modeling Approach for the Optimization of Internet-Based Advertising Strategies and evaluation of optimal Internet mar- keting strategies when a firm is advertising on multiple websites examples are constructed that demonstrate two paradoxes: (1). that advertising on more websites may reduce
Global optimization by coupled local minimizers and its application to FE model updating
-3001 Heverlee, Belgium Received 2 August 2002; accepted 3 July 2003 Abstract Coupled local minimizersGlobal optimization by coupled local minimizers and its application to FE model updating Anne (CLM) is a new method applicable to global optimization of functions with multiple local minima. In CLM
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
Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling
Sarkar, Saswati
Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling of the optimal fluid scheduling policy, which is well suited for application to a real change management system management Â or handling of problem diagnosis and root cause analysis, and (ii) Change management Â or timely
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
. Optimization of water-cooled chiller-cooling tower combinations. CTI Journal 26(1): 12-19. Graves, R. D. 2003. Thermodynamic modelling and optimization of a screw compressor chiller and cooling tower system. M.S. Thesis, Department of Mechanical...
Brouns, Gido
models, admission and termination control, optimal threshold policies, Markov decision processes. 1 systems. The basic principle of performance optimization is the question of how to control some type of models for the optimal control of queueing systems. Emphasis is laid on models based on Markov decision
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
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 ...
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...
Geometric modeling and optimization in 3D solar cells : implementation and algorithms
Wan, Jin Hao, M. Eng. Massachusetts Institute of Technology
2014-01-01T23:59:59.000Z
Conversion of solar energy in three-dimensional (3D) devices has been essentially untapped. In this thesis, I design and implement a C++ program that models and optimizes a 3D solar cell ensemble embedded in a given ...
Lee, Yuan-Hsuan
2011-10-21T23:59:59.000Z
This dissertation focuses on issues related to fitting an optimal variance-covariance structure in multilevel linear modeling framework with two Monte Carlo simulation studies. In the first study, the author evaluated the ...
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 ...
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Belloni, Alexandre
2011-07-12T23:59:59.000Z
We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p, that apply even when p ...
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...
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
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...
Optimal Control for a System Modelling Tumor Anti-Angiogenesis
Ledzewicz, Urszula
inhibitors given. For both mod- els a full synthesis of optimal solutions is presented and the differences of chemotherapy in cancer treatments is drug resistance. Different from normal cells, cancer cells are geneti- cally highly unstable and thus quite diversified in their structure. As a consequence, some cancer cells
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...
Efficient mold Danscooling optimization by using model reduction
Mongeau, Marcel
.Chinesta@ec-nantes.fr ABSTRACT Optimization and inverse identification are two procedures usually encountered in many industrial the polymer melt into the mold. Its screw rotates and axially reciprocates to melt, mix, and pump the polymer to evacuate the heat since polymers are bad conductors as thermal conductivity #12;ranges form 0.1 W/mK to 1
OPTIMAL METABOLIC REGULATION USING A CONSTRAINT-BASED MODEL
Segrè, Daniel
role in the maintenance of metabolic homeostasis, and in the capacity of living systems to undergo: metabolic regulation; flux balance analysis; enzyme kinetics; metabolism; optimality; logistic map; chaos 1 at unperturbed steady states, regulatory networks may have an important role in ensuring homeostatic stability
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
Active and Accelerated Learning of Cost Models for Optimizing Scientific Applications
Chase, Jeffrey S.
Active and Accelerated Learning of Cost Models for Optimizing Scientific Applications Piyush Shivam of sciences including astrophysics, bioinformatics, systems biology, and climate modeling [15, 31]. This new University chase@cs.duke.edu ABSTRACT We present the NIMO system that automatically learns cost models
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
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
Turner, D P; Ritts, W D; Wharton, S; Thomas, C; Monson, R; Black, T A
2009-02-26T23:59:59.000Z
The combination of satellite remote sensing and carbon cycle models provides an opportunity for regional to global scale monitoring of terrestrial gross primary production, ecosystem respiration, and net ecosystem production. FPAR (the fraction of photosynthetically active radiation absorbed by the plant canopy) is a critical input to diagnostic models, however little is known about the relative effectiveness of FPAR products from different satellite sensors nor about the sensitivity of flux estimates to different parameterization approaches. In this study, we used multiyear observations of carbon flux at four eddy covariance flux tower sites within the conifer biome to evaluate these factors. FPAR products from the MODIS and SeaWiFS sensors, and the effects of single site vs. cross-site parameter optimization were tested with the CFLUX model. The SeaWiFs FPAR product showed greater dynamic range across sites and resulted in slightly reduced flux estimation errors relative to the MODIS product when using cross-site optimization. With site-specific parameter optimization, the flux model was effective in capturing seasonal and interannual variation in the carbon fluxes at these sites. The cross-site prediction errors were lower when using parameters from a cross-site optimization compared to parameter sets from optimization at single sites. These results support the practice of multisite optimization within a biome for parameterization of diagnostic carbon flux models.
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.
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
Liu, M.; Claridge, D. E.
1998-01-01T23:59:59.000Z
Optimal hot and cold deck reset schedules can decrease simultaneous heating and cooling in VAV AHUs comparing with constant cold deck temperature operation. In this paper, optimization models are developed. The energy impacts are simulated for a...
A system-level cost-of-energy wind farm layout optimization with landowner modeling
Chen, Le [Ames Laboratory; MacDonald, Erin [Ames Laboratory
2013-10-01T23:59:59.000Z
This work applies an enhanced levelized wind farm cost model, including landowner remittance fees, to determine optimal turbine placements under three landowner participation scenarios and two land-plot shapes. Instead of assuming a continuous piece of land is available for the wind farm construction, as in most layout optimizations, the problem formulation represents landowner participation scenarios as a binary string variable, along with the number of turbines. The cost parameters and model are a combination of models from the National Renewable Energy Laboratory (NREL), Lawrence Berkeley National Laboratory, and Windustiy. The system-level cost-of-energy (COE) optimization model is also tested under two land-plot shapes: equally-sized square land plots and unequal rectangle land plots. The optimal COEs results are compared to actual COE data and found to be realistic. The results show that landowner remittances account for approximately 10% of farm operating costs across all cases. Irregular land-plot shapes are easily handled by the model. We find that larger land plots do not necessarily receive higher remittance fees. The model can help site developers identify the most crucial land plots for project success and the optimal positions of turbines, with realistic estimates of costs and profitability. (C) 2013 Elsevier Ltd. All rights reserved.
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.
Variable horizon model predictive control: robustness and optimality
Shekhar, Rohan Chandra
2012-07-03T23:59:59.000Z
. . . . . . . . . . . . . . . . . . . . . . . . . . . 106 6.3 Kinematic vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 6.4 Mechanism model showing generalised coordinates . . . . . . . . . . . . . . . . 109 6.5 Static balance of material failure forces... .1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 6.1.1 Nomenclature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 6.2 Mechanism Model...
Model Order Reduction in Porous Media Flow Simulation and Optimization
Ghasemi, Mohammadreza
2015-05-06T23:59:59.000Z
Subsurface flow modeling and simulation is ubiquitous in many energy related processes, including oil and gas production. These models are usually large scale and simulating them can be very computationally demanding, particularly in work-flows...
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.
Tentzeris, Manos
Modeling and Optimization of RF-MEMS Reconfigurable Tuners with Computationally Efficient Time of Technology, Atlanta, GA 30332 2 Raytheon Company, Tucson AZ, 85734 Abstract -- Modern RF-MEMS device design methods in which the FDTD technique can be used to model a reconfigurable RF-MEMS tuner. A new method
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 and utility purposes in many countries. In order to explore the viability of fuel cell - battery hybrid for a fuel cell - battery hybrid electric scooter. The modelling and simulation of the fuel cell electric
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
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
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.
PASI 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, The roles of Asia and Chile in the world copper market, Resources Policy 30 (2005) 131139 #12;5 Motivation
Modeling and Optimization Issues Concerning a Circular Piezoelectric Actuator Design \\Lambda
Modeling and Optimization Issues Concerning a Circular Piezoelectric Actuator Design \\Lambda Steven Raleigh, NC 27695 Abstract An electromechanical model for a circular piezoelectric actuator is developed and analyzed. A crit ical challenge in certain applications employing piezoceramic actuators is to maximize
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
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.
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, ...
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 - 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.
Optimization of a Two-Fluid Hydrodynamic Model of Churn-Turbulent Flow
Donna Post Guillen
2009-07-01T23:59:59.000Z
A hydrodynamic model of two-phase, churn-turbulent flows is being developed using the computational multiphase fluid dynamics (CMFD) code, NPHASE-CMFD. The numerical solutions obtained by this model are compared with experimental data obtained at the TOPFLOW facility of the Institute of Safety Research at the Forschungszentrum Dresden-Rossendorf. The TOPFLOW data is a high quality experimental database of upward, co-current air-water flows in a vertical pipe suitable for validation of computational fluid dynamics (CFD) codes. A five-field CMFD model was developed for the continuous liquid phase and four bubble size groups using mechanistic closure models for the ensemble-averaged Navier-Stokes equations. Mechanistic models for the drag and non-drag interfacial forces are implemented to include the governing physics to describe the hydrodynamic forces controlling the gas distribution. The closure models provide the functional form of the interfacial forces, with user defined coefficients to adjust the force magnitude. An optimization strategy was devised for these coefficients using commercial design optimization software. This paper demonstrates an approach to optimizing CMFD model parameters using a design optimization approach. Computed radial void fraction profiles predicted by the NPHASE-CMFD code are compared to experimental data for four bubble size groups.
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
Ryan, Sarah M.
Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi-Markovian covariate process, which we assume is under continuous monitoring. The form of an optimal policy-Markov process, threshold replacement policy, sensitivity analysis SUMMARY This paper deals with the optimal
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 ...
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...
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...
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 ...
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...
Suthar, B; Northrop, PWC; Braatz, RD; Subramanian, VR
2014-07-30T23:59:59.000Z
This paper illustrates the application of dynamic optimization in obtaining the optimal current profile for charging a lithium-ion battery by restricting the intercalation-induced stresses to a pre-determined limit estimated using a pseudo 2-dimensional (P2D). model. This paper focuses on the problem of maximizing the charge stored in a given time while restricting capacity fade due to intercalation-induced stresses. Conventional charging profiles for lithium-ion batteries (e.g., constant current followed by constant voltage or CC-CV) are not derived by considering capacity fade mechanisms, which are not only inefficient in terms of life-time usage of the batteries but are also slower by not taking into account the changing dynamics of the system. (C) The Author(s) 2014. Published by ECS. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives 4.0 License (CC BY-NC-ND, http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is not changed in any way and is properly cited. For permission for commercial reuse, please email: oa@electrochem.org. All rights reserved.
Modeling and optimization of a chiller plant Xiupeng Wei*
Kusiak, Andrew
. The chillers have varying energy efficiency. Since the chiller plant model derived from data-driven approach of chillers, cooling towers, pumps and chilled water storage tanks. It is frequently used to air conditioning was found and controlled to reduce fluc- tuation in chiller efficiency in different operating conditions
Modeling an optical magnetometer with electronic circuits Analysis and optimization
6 3.2 Model verification 7 3.3 Different detection scheme in self-oscillation mode 8 3.3.1 Pump-probe arrangement with balanced polarimeter 8 3.3.2 Pump-probe arrangement with nearly-crossed polarizer 9 3, and bandwidths of the sensors, as well as their different sizes, prices, and maintenance costs [1]. Currently
Correlations, Competition, and Optimality: Modelling the Development of
Goodhill, Geoffrey J.
both qualitative and quantitative comparisons with the performance of an algorithm based on the self not satisfactorily address both of these phenomena simultaneously. In this thesis we discuss in detail several models was a great source of inspiration and encouragement to me throughout the thesis, and I am particularly
Paris-Sud XI, Université de
greenhouse gas levels and energy consumption by 20% and increase the share of renewables by 20%, all9th International Conference of Modeling, Optimization and Simulation - MOSIM'12 June 6-8, 2012 engine to its standard internal combustion engine. The aim for the prototype is to use the electrical
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
Pedram, Massoud
to meet the expected growth of energy consumption among end users under the worst-case power demandAccurate Component Model Based Optimal Control for Energy Storage Systems in Households of Southern California Los Angeles, CA, USA {yanzhiwa, xuelin, pedram}@usc.edu Abstract
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
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
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 power management technique gives significantly better performance and energy tradeoff. 1. Introduction or hard disk. The power management hardware/software monitors the state transition in the system
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
Neural NetworkBased Modeling and Optimization for Effective Vehicle Emission Testing and
Huang, Yinlun
Neural NetworkBased Modeling and Optimization for Effective Vehicle Emission Testing and Engine and Materials Science, Wayne State University, Detroit, Michigan, USA In automotive manufacturing, vehicle emission testing and engine calibration are the key to achieving emission standards with satisfactory fuel
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
Baer, Ferdinand
Optimizing Computations in Weather and Climate Prediction Models* F. BAER, BANGLIN ZHANG, AND BING scenarios for many time scales, more computer power than is currently available will be needed. One and sometimes with a biosphere included, are very complex and require so much computing power on available
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
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
MODELING AND TRAJECTORY OPTIMIZATION OF WATER SPRAY COOLING IN A LIQUID PISTON AIR COMPRESSOR
Li, Perry Y.
MODELING AND TRAJECTORY OPTIMIZATION OF WATER SPRAY COOLING IN A LIQUID PISTON AIR COMPRESSOR Storage (CAES) system for offshore wind turbine that has recently been proposed in [1,2]. Since the air in [5]. The porous material greatly increases the heat transfer area and the liquid piston prevents air
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
Fang-Yen, Christopher
EESOM: Electrical Energy Sourcing Optimization Model Department of Electrical and Systems Sobkiw Dr. John Keenan Project Overview The United States' electrical energy sector faces a set. Questions such as when and where electrical energy is needed and how the resources that fuel its generation
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
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
Optimizing future imaging survey of galaxies to confront dark energy and modified gravity models
Kazuhiro Yamamoto; David Parkinson; Takashi Hamana; Robert C. Nichol; Yasushi Suto
2007-07-22T23:59:59.000Z
We consider the extent to which future imaging surveys of galaxies can distinguish between dark energy and modified gravity models for the origin of the cosmic acceleration. Dynamical dark energy models may have similar expansion rates as models of modified gravity, yet predict different growth of structure histories. We parameterize the cosmic expansion by the two parameters, $w_0$ and $w_a$, and the linear growth rate of density fluctuations by Linder's $\\gamma$, independently. Dark energy models generically predict $\\gamma \\approx 0.55$, while the DGP model $\\gamma \\approx 0.68$. To determine if future imaging surveys can constrain $\\gamma$ within 20 percent (or $\\Delta\\gammafuture CMB observations.
Energy Savings Opportunities through Combined Heat and Power Systems Optimization Model Case Studies
Owaidh, M.
2015-01-01T23:59:59.000Z
Use Energy Savings Opportunities Through CHP Optimization Models IETC, Jun 2-4 2015 © Copyright 2015, Saudi Aramco. All rights reserved. ESL-IE-15-06-07 Proceedings of the Thrity-Seventh Industrial Energy Technology Conference New Orleans, LA. June 2...-4, 2015 Saudi Aramco: Company General Use Outline: • Introduction – Overview of CHP models – Current Reality • Case Study – Correlations development – Analysis • Conclusion ESL-IE-15-06-07 Proceedings of the Thrity-Seventh Industrial Energy Technology...
Bergman, Keren
· Fluctuation of market price of reclaimed materials 2 #12;Macro-level Reverse Logistics Cost Model Determine Distance matrix between collection and recycling sites (actual distance between sites) Reverse logistics Capital cost to open up a PVTBC ($K) selected location Capital cost ($K) Reverse logistics cost ($K
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
Heaton, Thomas H.
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, such as wind power, into the electric grid OPF model with storage and study how storage allows optimization of power generation across multiple
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
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
Observations on the Optimality Tolerance in the CAISO 33% RPS Model
Yao, Y; Meyers, C; Schmidt, A; Smith, S; Streitz, F
2011-09-22T23:59:59.000Z
In 2008 Governor Schwarzenegger of California issued an executive order requiring that 33 percent of all electricity in the state in the year 2020 should come from renewable resources such as wind, solar, geothermal, biomass, and small hydroelectric facilities. This 33% renewable portfolio standard (RPS) was further codified and signed into law by Governor Brown in 2011. To assess the market impacts of such a requirement, the California Public Utilities Commission (CPUC) initiated a study to quantify the cost, risk, and timing of achieving a 33% RPS by 2020. The California Independent System Operator (CAISO) was contracted to manage this study. The production simulation model used in this study was developed using the PLEXOS software package, which allows energy planners to optimize long-term system planning decisions under a wide variety of system constraints. In this note we describe our observations on varying the optimality tolerance in the CAISO 33% RPS model. In particular, we observe that changing the optimality tolerance from .05% to .5% leads to solutions over 5 times faster, on average, producing very similar solutions with a negligible difference in overall distance from optimality.
ARRAY OPTIMIZATION FOR TIDAL ENERGY EXTRACTION IN A TIDAL CHANNEL – A NUMERICAL MODELING ANALYSIS
Yang, Zhaoqing; Wang, Taiping; Copping, Andrea
2014-04-18T23:59:59.000Z
This paper presents an application of a hydrodynamic model to simulate tidal energy extraction in a tidal dominated estuary in the Pacific Northwest coast. A series of numerical experiments were carried out to simulate tidal energy extraction with different turbine array configurations, including location, spacing and array size. Preliminary model results suggest that array optimization for tidal energy extraction in a real-world site is a very complex process that requires consideration of multiple factors. Numerical models can be used effectively to assist turbine siting and array arrangement in a tidal turbine farm for tidal energy extraction.
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.
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.
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
to be optimized, such as sequencing of chillers, cooling towers, and pumps. The constraints on the equipment operation, such as maximum and minimum flow rates, limit the possible number of combinations of control variables. Plant Power Modeling The system... chiller ChW flow is also limited by the upper and lower limits of evaporator ChW flow rate. The upper limit is intended to prevent erosion and the lower limit is to prevent freezing in the tubes. Pump Modeling The general calculation formula...
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...
Ortiz Prada, Rubiel Paul
2012-02-14T23:59:59.000Z
focused on developing and extending a new technology for determining optimal well spacing in tight gas reservoirs that maximize profitability. To achieve the research objectives, an integrated multi-well reservoir and decision model that fully incorporates...
Optimization Online Digest -- February 2015
Computational Optimization of Gas Compressor Stations: MINLP Models vs. ... The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
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.
A Mathematical Tumor Model with Immune Resistance and Drug Therapy: An Optimal Control Approach
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
De Pillis, L. G.; Radunskaya, A.
2001-01-01T23:59:59.000Z
We present a competition model of cancer tumor growth that includes both the immune system response and drug therapy. This is a four-population model that includes tumor cells, host cells, immune cells, and drug interaction. We analyze the stability of the drug-free equilibria with respect to the immune response in order to look for target basins of attraction. One of our goals was to simulate qualitatively the asynchronous tumor-drug interaction known as “Jeffs phenomenon.” The model we develop is successful in generating this asynchronous response behavior. Our other goal was to identify treatment protocols that could improve standard pulsed chemotherapymore »regimens. Using optimal control theory with constraints and numerical simulations, we obtain new therapy protocols that we then compare with traditional pulsed periodic treatment. The optimal control generated therapies produce larger oscillations in the tumor population over time. However, by the end of the treatment period, total tumor size is smaller than that achieved through traditional pulsed therapy, and the normal cell population suffers nearly no oscillations.« less
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 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
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
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.
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
A Formal Model for Verifying the Impact of Stealthy Attacks on Optimal Power Flow in Power Grids
Wang, Yongge
- mal Power Flow; Formal Model 1. INTRODUCTION Power system control centers employ a numberA Formal Model for Verifying the Impact of Stealthy Attacks on Optimal Power Flow in Power Grids the integrity of OPF and undermine the economic and secure system operation. We present a formal verification
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
Optimal modeling of 1D azimuth correlations in the context of Bayesian inference
Michiel B. De Kock; Hans C. Eggers; Thomas A. Trainor
2015-02-16T23:59:59.000Z
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 series (FS) and a Gaussian plus various combinations of individual cosine components. We evaluate model performance with BI methods and with power-spectrum (PS) analysis. We find that the FS-only model is rejected in all cases by Bayesian analysis which always prefers a Gaussian. A cylindrical quadrupole cos(2\\phi) is required in some cases but rejected for most-central Au-Au collisions. Given a Gaussian centered at the azimuth origin "higher harmonics" cos(m\\phi) for m > 2 are rejected. A model consisting of Gaussian + dipole cos(\\phi) + quadrupole cos(2\\phi) provides good 1D data descriptions in all cases.
Nelson, R.A. Jr.; Pimentel, D.A.; Jolly-Woodruff, S.; Spore, J.
1998-04-01T23:59:59.000Z
In this report, a phenomenological model of simultaneous bottom-up and top-down quenching is developed and discussed. The model was implemented in the TRAC-PF1/MOD2 computer code. Two sets of closure relationships were compared within the study, the Absolute set and the Conditional set. The Absolute set of correlations is frequently viewed as the pure set because the correlations is frequently viewed as the pure set because the correlations utilize their original coefficients as suggested by the developer. The Conditional set is a modified set of correlations with changes to the correlation coefficient only. Results for these two sets indicate quite similar results. This report also summarizes initial results of an effort to investigate nonlinear optimization techniques applied to the closure model development. Results suggest that such techniques can provide advantages for future model development work, but that extensive expertise is required to utilize such techniques (i.e., the model developer must fully understand both the physics of the process being represented and the computational techniques being employed). The computer may then be used to improve the correlation of computational results with experiments.
Optimization Online Digest -- April 2015
Sparse optimization for inverse problems in atmospheric modelling. Lukas Adam ... JuMP: A modeling language for mathematical optimization. Iain Dunning ...
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
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...
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
Givler, T.; Lilienthal, P.
2005-05-01T23:59:59.000Z
This paper discusses using HOMER Software, NREL's Micropower Optimization Model, to explore the role of gen-sets in small solar power systems in Sri Lanka.
ORIGINAL PAPER Application of the DNDC model to tile-drained Illinois
David, Mark B.
in 52% lower N2O gas flux relative to fertilizer-driven systems. We identify soil organic carbon storage in agroecosystems. Keywords Nitrogen management Á Agroecosystem model Á Nitrate leaching Á N trace gas Á Cover crop budgets indicate that in the US and Europe, annual N and P inputs consistently exceed the amounts exported
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
ORIGINAL PAPER Application of the DNDC model to tile-drained Illinois
David, Mark B.
are necessary to assess the impact of specific management practices on N loss from agricultural systems to their default values. Overall, our calibration of DNDC resulted in a good statistical fit between model output. 2003, 2004), with agriculture accounting for 75% of the anthropo- genic N forcing (Galloway and Cowling
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
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
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.
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.
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.
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
Alam, Muhammad A.
of the morphology can double the efficiency of BH cells. 1. Introduction Polymer based organic solar cell remains/devices of organic cells to achievable efficiency. The cartoon of a BH solar cell in Fig. 1a illustrates four keyModeling and Optimization of Polymer based Bulk Heterojunction (BH) Solar cell * Biswajit Ray
Subramanian, Venkat
Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using]. Besides physical and chemical methods for sequestration of CO2 from flue gas [2], microalgae culture holds great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficiently
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
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
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
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
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...
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 Online Digest -- March 2009
Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...
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
Optimization Online Digest -- February 2011
Stochastic Optimization for Power System Configuration with Renewable Energy in ... A stabilized model and an efficient solution method for the yearly optimal ...
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.
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
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.
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
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.
Optimal Asymptotic Entrainment of Phase-Reduced Oscillators
Anatoly Zlotnik; Jr-Shin Li
2011-09-25T23:59:59.000Z
We derive optimal periodic controls for entrainment of a self-driven oscillator to a desired frequency. The alternative objectives of minimizing power and maximizing frequency range of entrainment are considered. A state space representation of the oscillator is reduced to a linearized phase model, and the optimal periodic control is computed from the phase response curve using formal averaging and the calculus of variations. Computational methods are used to calculate the periodic orbit and the phase response curve, and a numerical method for approximating the optimal controls is introduced. Our method is applied to asymptotically control the period of spiking neural oscillators modeled using the Hodgkin-Huxley equations. This example illustrates the optimality of entrainment controls derived using phase models when applied to the original state space system.
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
Michalski, Ryszard S.
specialized LEM-based systems for heat exchanger optimization. 1. Introduction Research on intelligent to conventional blind operators, such as mutation and recombination, LEM employs new types of innovation operators, LEM integrates both types of operators--new and conventional ones--in a way that seeks to maximize
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
Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores
Nikolopoulos, Dimitris
Livermore National Laboratory Livermore, CA 94551 {bronis,schulzm}@llnl.gov ABSTRACT Power has become- multaneous DVFS and DCT controllers in real systems and parallel programming frameworks. We present a multi-aware program adaptation knobs that we consider. Our overall runtime optimization frame- work achieves
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
Partial Optimality by Pruning for MAP-inference with General Graphical Models
Schnörr, Christoph
and for which dedicated and efficient algorithms exist. 1.1. Related Work We distinguish two classes of approaches to partial optimality. (i) Roof duality based approaches. The ear- liest paper dealing it for every solution of a certain re- laxation. This relaxation is the same, as used by the roof duality
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
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
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
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
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 ...
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 ...
Bradonjic, Milan [Los Alamos National Laboratory
2009-01-01T23:59:59.000Z
In this paper we study reputation mechanisms, and show how the notion of reputation can help us in building truthful online auction mechanisms. From the mechanism design prospective, we derive the conditions on and design a truthful online auction mechanism. Moreover, in the case when some agents may lay or cannot have the real knowledge about the other agents reputations, we derive the resolution of the auction, such that the mechanism is truthful. Consequently, we move forward to the optimal one-gambler/one-seller problem, and explain how that problem is refinement of the previously discussed online auction design in the presence of reputation mechanism. In the setting of the optimal one-gambler problem, we naturally rise and solve the specific question: What is an agent's optimal strategy, in order to maximize his revenue? We would like to stress that our analysis goes beyond the scope, which game theory usually discusses under the notion of reputation. We model one-player games, by introducing a new parameter (reputation), which helps us in predicting the agent's behavior, in real-world situations, such as, behavior of a gambler, real-estate dealer, etc.
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 ...
From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Blazewicz, Marek; Hinder, Ian; Koppelman, David M.; Brandt, Steven R.; Ciznicki, Milosz; Kierzynka, Michal; Löffler, Frank; Schnetter, Erik; Tao, Jian
2013-01-01T23:59:59.000Z
Starting from a high-level problem description in terms of partial differential equations using abstract tensor notation, theChemoraframework discretizes, optimizes, and generates complete high performance codes for a wide range of compute architectures. Chemora extends the capabilities of Cactus, facilitating the usage of large-scale CPU/GPU systems in an efficient manner for complex applications, without low-level code tuning. Chemora achieves parallelism through MPI and multi-threading, combining OpenMP and CUDA. Optimizations include high-level code transformations, efficient loop traversal strategies, dynamically selected data and instruction cache usage strategies, and JIT compilation of GPU code tailored to the problem characteristics. The discretization is based onmore »higher-order finite differences on multi-block domains. Chemora's capabilities are demonstrated by simulations of black hole collisions. This problem provides an acid test of the framework, as the Einstein equations contain hundreds of variables and thousands of terms.« less
From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation
Marek Blazewicz; Ian Hinder; David M. Koppelman; Steven R. Brandt; Milosz Ciznicki; Michal Kierzynka; Frank Löffler; Erik Schnetter; Jian Tao
2013-07-24T23:59:59.000Z
Starting from a high-level problem description in terms of partial differential equations using abstract tensor notation, the Chemora framework discretizes, optimizes, and generates complete high performance codes for a wide range of compute architectures. Chemora extends the capabilities of Cactus, facilitating the usage of large-scale CPU/GPU systems in an efficient manner for complex applications, without low-level code tuning. Chemora achieves parallelism through MPI and multi-threading, combining OpenMP and CUDA. Optimizations include high-level code transformations, efficient loop traversal strategies, dynamically selected data and instruction cache usage strategies, and JIT compilation of GPU code tailored to the problem characteristics. The discretization is based on higher-order finite differences on multi-block domains. Chemora's capabilities are demonstrated by simulations of black hole collisions. This problem provides an acid test of the framework, as the Einstein equations contain hundreds of variables and thousands of terms.
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.
Richardson, Andrew D.
and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation
Paris-Sud XI, Université de
of models as tool for fault diagnosis systems. Nowadays, industrial robots living in stochastic environment
Optimization Online Digest -- May 2015
Optimization Online Digest — May 2015. Applications — OR and Management Sciences Mathematical Models for Multi Container Loading Problems
A multiperiod optimization model to schedule large-scale petroleum development projects
Husni, Mohammed Hamza
2009-05-15T23:59:59.000Z
time dependent variables. Computational experiments of 30 projects illustrate the performance of the model. The application example is only illustrative of the model and does not reveal real data. A Greedy algorithm was first utilized to construct...
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,
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.
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
and Thermal Systems Center, National Renewable Energy Laboratory, Golden, CO, United States b Applied t s We use a procedure to evaluate residential building energy model calibration methods. We use framework described in BESTEST-EX for self-testing residential building energy model calibration methods
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...
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
Optimization Online - All Areas Submissions - March 2009
Optimization Software and Modeling Systems A Structure-Conveying Modelling Language for Mathematical and Stochastic Programming Marco Colombo ...
Perez Roman, Eduardo
2011-08-08T23:59:59.000Z
for coupling components, hierarchical and modular model construction, and an object-oriented substrate supporting repository reuse. Secondly, we derive algorithms for scheduling nuclear medicine patients and resources and validate our algorithms using...
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-.
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
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 ...
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...
Kang, Suk Sang 1975-
2012-08-16T23:59:59.000Z
-resolution heterogeneity in the spectral domain using the Grid Connectivity based Transform to severely compress the dimension of the calibration parameter set. The GCT implicitly imposes geological continuity and promotes minimal changes to each prior model...
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 ...
Optimization Journals, Sites, Societies - Optimization Online
Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...
Optimization Online - All Areas Submissions - February 2011
Stochastic Optimization for Power System Configuration with Renewable Energy in ... A stabilized model and an efficient solution method for the yearly optimal ...
Derivative-free optimization of rate parameters of capsid assembly models from bulk in vitro data
Xie, Lu; Schwartz, Russell
2015-01-01T23:59:59.000Z
The assembly of virus capsids from free coat proteins proceeds by a complicated cascade of association and dissociation steps, the great majority of which cannot be directly experimentally observed. This has made capsid assembly a rich field for computational models to attempt to fill the gaps in what is experimentally observable. Nonetheless, accurate simulation predictions depend on accurate models and there are substantial obstacles to model inference for such systems. Here, we describe progress in learning parameters for capsid assembly systems, particularly kinetic rate constants of coat-coat interactions, by computationally fitting simulations to experimental data. We previously developed an approach to learn rate parameters of coat-coat interactions by minimizing the deviation between real and simulated light scattering data monitoring bulk capsid assembly in vitro. This is a difficult data-fitting problem, however, because of the high computational cost of simulating assembly trajectories, the stochas...
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.
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...
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.
Subsurface Flow Management and Real-Time Production Optimization using Model Predictive Control
Lopez, Thomas Jai
2012-02-14T23:59:59.000Z
research will focus on System Identification (System-ID) (Jansen, 2009) and Model Predictive Control (MPC) (Gildin, 2008) to serve this purpose. A mathematical treatment of System-ID and MPC as applied to reservoir simulation will be presented. Linear MPC...
Second-Order Signature: A Tool for Specifying Data Models, Query Processing, and Optimization
GÃ¼ting, Ralf Hartmut
-order signature (and algebra), a system of two coupled many-sorted signatures, where the top-level signature the types defined as terms of the top level. Hence the top level can be used to define a data or representation model and the bottom level to describe a query algebra or a query processing algebra. We show
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
When the Model Hits the Runway: The DOZE Algorithm for optimal dispatching of
Morrow, James A.
the Bureau of Transportation Statistics to model flight delays. Utilizing estimates on different costs associated with escorting NAPs, we were able to prioritize and codify all the operations taking place during-Transit and Stationary . . . . . . . . . . . . . . . . . 12 4 Cost Analysis 13 4.1 Wheelchair Maintenance
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
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...
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...
Optimization Models for Supply Chain and Operations Management OM 392, Spring 2012
Ghosh, Joydeep
Models for Supply Chain and Operations Management OM 392, Spring 2012 Unique Number: 03955 Professor Anant Balakrishnan Classroom: GSB 5.154 Office: CBA 6.486 Class time: W 2 to 5 p.m. e-mail: anantb Management involves planning and coordinating the value-adding activities and flow of materials
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
-mail: charles-alexis.asselineau@anu.edu.au 1. Introduction In concentrated solar power systems, receivers convert concentrated solar radiation into heat and, consequently, have a major impact on overall system modeling Charles-Alexis Asselineau1 , Jose Zapata1 and Dr John Pye1 1 Solar Thermal Group, College
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
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.
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
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...
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.
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
1 Abstract--A bi-objective optimization model of power and power changes generated by a wind prediction, power ramp rate, data mining, wind turbine operation strategy, generator torque, blade pitch to variations in wind speed, wind farms exhibit different characteristics from conventional power plants. Two
Entropy generation and jet engine optimization
Lucia, Umberto
2010-01-01T23:59:59.000Z
In 2009, it was shown that, with an original approach to hydrodynamic cavitation, a phenomenological model was realized in order to compute some of the physical parameters needed for the design of the most common technological applications (turbo-machinery, etc.) with an economical saving in planning because this analysis could allow engineers to reduce the experimental tests and the consequent costs in the design process. Here the same approach has been used to obtain range of some physical quantity for jet engine optimization.
optimal initial conditions for coupling ice sheet models to earth system
Office of Scientific and Technical Information (OSTI)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23Tribal EnergyCatalytic CobySpeedingacid-water solutions (Technical Report)|- 67163 Informal. .,models
Optimal Initial Conditions for Coupling Ice Sheet Models to Earth System
Office of Scientific and Technical Information (OSTI)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,SeparationConnect Journal Article:UsingMesonSpeedingSpeedingDistribution ofbased on functionalizedModels.
Optimization of Fuel Cell System Operating Conditions for Fuel Cell Vehicles
Zhao, Hengbing; Burke, Andy
2008-01-01T23:59:59.000Z
R.M. Moore, PEM Fuel Cell System Optimization, ProceedingsInterface of the fuel cell system optimization model Fig. 5hydrogen fuel cell vehicle; optimization model; simulation *
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.
Optimization of the parameters of plasma liners with zero-dimensional models
Oreshkin, V. I. [Siberian Division, Institute of High Current Electronics, RAS Tomsk Polytechnic University, Tomsk 634055 (Russian Federation)] [Siberian Division, Institute of High Current Electronics, RAS Tomsk Polytechnic University, Tomsk 634055 (Russian Federation)
2013-11-15T23:59:59.000Z
The efficiency of conversion of the energy stored in the capacitor bank of a high-current pulse generator into the kinetic energy of an imploding plasma liner is analyzed. The analysis is performed by using a model consisting of LC circuit equations and equations of motion of a cylindrical shell. It is shown that efficient energy conversion can be attained only with a low-inductance generator. The mode of an 'ideal' load is considered where the load current at the final stage of implosion is close to zero. The advantages of this mode are, first, high efficiency of energy conversion (80%) and, second, improved stability of the shell implosion. In addition, for inertial confinement fusion realized by the scheme of a Z pinch dynamic hohlraum, not one but several fusion targets can be placed in the cavity on the pinch axis due to the large length of the liner.
Vlcek, Lukas [ORNL; Chialvo, Ariel A [ORNL; Cole, David [Ohio State University; Cole, David R [ORNL
2011-01-01T23:59:59.000Z
The unlike- pair interaction parameters for the SPC/E- EPM2 models have been optimized to reproduce the mutual solubility of water and carbon dioxide at the conditions of liquid- supercritical fluid phase equilibria. An efficient global optimization of the parameters is achieved through an implementation of the coupling parameter approach, adapted to phase equilibria calculations in the Gibbs ensemble, that explicitly corrects for the over- polarization of the SPC/E water molecule in the non- polar CO2 environments. The resulting H2O- CO2 force field reproduces accurately the available experimental solubilities at the two fluid phases in equilibria as well as the corresponding species tracer diffusion coefficients.
Wang, S L; Singer, M A
2009-07-13T23:59:59.000Z
The purpose of this report is to evaluate the hemodynamic effects of renal vein inflow and filter position on unoccluded and partially occluded IVC filters using three-dimensional computational fluid dynamics. Three-dimensional models of the TrapEase and Gunther Celect IVC filters, spherical thrombi, and an IVC with renal veins were constructed. Hemodynamics of steady-state flow was examined for unoccluded and partially occluded TrapEase and Gunther Celect IVC filters in varying proximity to the renal veins. Flow past the unoccluded filters demonstrated minimal disruption. Natural regions of stagnant/recirculating flow in the IVC are observed superior to the bilateral renal vein inflows, and high flow velocities and elevated shear stresses are observed in the vicinity of renal inflow. Spherical thrombi induce stagnant and/or recirculating flow downstream of the thrombus. Placement of the TrapEase filter in the suprarenal vein position resulted in a large area of low shear stress/stagnant flow within the filter just downstream of thrombus trapped in the upstream trapping position. Filter position with respect to renal vein inflow influences the hemodynamics of filter trapping. Placement of the TrapEase filter in a suprarenal location may be thrombogenic with redundant areas of stagnant/recirculating flow and low shear stress along the caval wall due to the upstream trapping position and the naturally occurring region of stagnant flow from the renal veins. Infrarenal vein placement of IVC filters in a near juxtarenal position with the downstream cone near the renal vein inflow likely confers increased levels of mechanical lysis of trapped thrombi due to increased shear stress from renal vein inflow.
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
Laura Sampson; Neil Cornish; Nicolas Yunes
2013-03-05T23:59:59.000Z
We study generic tests of strong-field General Relativity using gravitational waves emitted during the inspiral of compact binaries. Previous studies have considered simple extensions to the standard post-Newtonian waveforms that differ by a single term in the phase. Here we improve on these studies by (i) increasing the realism of injections and (ii) determining the optimal waveform families for detecting and characterizing such signals. We construct waveforms that deviate from those in General Relativity through a series of post-Newtonian terms, and find that these higher-order terms can affect our ability to test General Relativity, in some cases by making it easier to detect a deviation, and in some cases by making it more difficult. We find that simple single-phase post-Einsteinian waveforms are sufficient for detecting deviations from General Relativity, and there is little to be gained from using more complicated models with multiple phase terms. The results found here will help guide future attempts to test General Relativity with advanced ground-based detectors.
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...
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.
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
Convex and Nonsmooth Optimization Submissions - 2012. January 2012. Nonsmooth Optimization Necessary optimality conditions in pessimistic bilevel ...
Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...
IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 49, NO. 3, MARCH 2001 457 Optimal Reduced for a wide range of signal processing applications where data or model reduction, robustness against noise of the original output signals. The effects of multipath signals and cross-signal inter- ference can be described
Venkataramani, Arun
) of the system. What is the utility function corresponding to a max-min fair allocation? What is the utility function corresponding to a TCP-fair allocation? To understand this, we formalize the resource allocation with a model for the following resource allocation problem: Given a network and a set of users, (i.e., flows
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:.
Interpolating Optimizing Process Control Bjarne A. Foss
Foss, Bjarne A.
Interpolating Optimizing Process Control Bjarne A. Foss Department of Engineering Cybernetics The University of Texas at Austin qin@che.utexas.edu August 9, 1996 Keywords: Model-based control, optimization a new model-based optimizing controller for a set of nonlinear systems is proposed. The nonlinear model
Broader source: Energy.gov [DOE]
Original Impact Calculations, from the Tool Kit Framework: Small Town University Energy Program (STEP).
Optimization Online - Nonlinear Optimization Submissions - 2014
Nonlinear Optimization Submissions - 2014. January 2014. Constrained Nonlinear Optimization New active set identification for general constrained ...
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.
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
Optimal Demand Response and Power Flow
Willett, Rebecca
Optimal Demand Response and Power Flow Steven Low Computing + Math Sciences Electrical Engineering #12;Outline Optimal demand response n With L. Chen, L. Jiang, N. Li Optimal power flow n With S. Bose;Optimal demand response Model Results n Uncorrelated demand: distributed alg n Correlated demand
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
Kanta, Lufthansa Rahman
2011-02-22T23:59:59.000Z
direction. Urban fire consequences are evaluated in terms of number of people displaced and cost of property damage. To reduce the assessed urban fire risk, the NSES multi-objective approach is utilized to generate Pareto-optimal solutions that express...
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_hisolated interaction between the systems driven by the external field and isothermal relaxation back to equilibrium. There is a complementarity between the power of heat transfer from the cold bath and the efficiency: the latter nullifies when the former is maximized and {\\it vice versa}. A reasonable compromise is achieved by optimizing the product of the heat-power and efficiency over the Hamiltonian of the two system. The efficiency is then found to be bounded from below by $\\zeta_{\\rm CA}=\\frac{1}{\\sqrt{1-\\theta}}-1$ (an analogue of the Curzon-Ahlborn efficiency), besides being bound from above by the Carnot efficiency $\\zeta_{\\rm C} = \\frac{1}{1-\\theta}-1$. The lower bound is reached in the equilibrium limit $\\theta\\to 1$. The Carnot bound is reached (for a finite power and a finite amount of heat transferred per cycle) for $\\ln n\\gg 1$. If the above maximization is constrained by assuming homogeneous energy spectra for both systems, the efficiency is bounded from above by $\\zeta_{\\rm CA}$ and converges to it for $n\\gg 1$.
FEMP Completes 2000th Renewable Energy Optimization Screening...
Office of Environmental Management (EM)
Completes 2000th Renewable Energy Optimization Screening FEMP Completes 2000th Renewable Energy Optimization Screening July 23, 2015 - 12:03pm Addthis REopt models the complex...
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.
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.
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 - 2013
Nonlinear Optimization Submissions - 2013. January 2013. A Framework of Constraint Preserving Update Schemes for Optimization on Stiefel Manifold
Optimization Online - Nonlinear Optimization Submissions - 2012
Nonlinear Optimization Submissions - 2012. January 2012. Systems governed by Differential Equations Optimization Squeeze-and-Breathe Evolutionary Monte ...
Optimization Online - Nonlinear Optimization Submissions - 2012
Sonia Cafieri, Alberto Costa, Pierre Hansen. February 2012. Unconstrained Optimization Smoothing SQP Algorithm for Non-Lipschitz Optimization with ...
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 ...
Krstic, Miroslav
) to provide ancillary services to autonomous electric microgrid systems (e.g. hospital backup power, military for Plug-In Microgrid Power Generation Automated Modeling Laboratory Slide 4 of 28 System Level Block POWER BUS Stack Current Stack Voltage Battery Power Power Output Powertrain System Model FCS model
Convex and Nonsmooth Optimization Submissions - 2014. January 2014. Convex Optimization Generalized Gauss Inequalities via Semidefinite Programming
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.
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 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, ...
Using Process Data for Finding Self-optimizing Controlled Variables
Skogestad, Sigurd
Using Process Data for Finding Self-optimizing Controlled Variables Johannes J¨aschke and Sigurd the process gain. It does not require a model which is optimized off-line to find the controlled variable. Keywords: Process Optimization, Control, Partial least squares, Empirical modelling, Self-optimizing
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.
EU PVSEC, 4AV.3.8 A MODELING APPROACH TO THE OPTIMIZATION OF INTERCONNECTS FOR BACK CONTACT CELLS
down to -40°C. In a second step we add the interconnectors in a 2-dimensional geometry which the 3 soldered areas to depend significantly on the specific interconnector design. The model presented plain-stress modeling of the interconnector allows fast and easy modifications of the interconnector
Millstone, Rachel Diana
2010-01-01T23:59:59.000Z
a piece of heavy duty styrofoam. Everybody listen up. It’sone you are writing the Styrofoam pink. Second, write foam.surface (models). I wish the styrofoam was larger. It’s not.
, 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. ...
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
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.
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...
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
Origin State Destination State
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
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 Alabama W W W W W W...
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
Istrail, Sorin
Lattice and Off-Lattice Side Chain Models of Protein Folding: Linear Time Structure Prediction This paper considers the protein structure prediction problem for lattice and off-lattice protein folding tools for reasoning about protein folding in unrestricted continuous space through anal- ogy. This paper
Chandy, K. Mani
and Huan Xu Abstract-- The integration of renewable energy, such as wind power, into the electric grid time periods. The model is motivated by the intensifying trend to deploy renewable energy such as wind from wind projects in the Tehachapi area in California [9]. Not only is renewable energy more
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
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.
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 - 2015
Nonlinear Optimization Submissions - 2015. January 2015. On iteratively reweighted Algorithms for Non-smooth Non-convex Optimization in Computer Vision
[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.
Process optimized quantum cloners via semidefinite programming
Mátyás Koniorczyk; Lívia Dani; Vladimír Bužek
2013-07-18T23:59:59.000Z
We apply semidefinite programming for designing 1 to 2 symmetric qubit quantum cloners. These are optimized for the average fidelity of their joint output state with respect to a product of multiple originals. We design 1 to 2 quantum bit cloners using the numerical method for finding completely positive maps approximating a nonphysical one optimally. We discuss the properties of the so-designed cloners.
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.
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 - 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 ...
Optimization Online - Coordinators
Optimization Online Coordinators. Optimization Online submissions are electronically handled by a team of volunteer coordinators: Principal Coordinators.
Convex and Nonsmooth Optimization Submissions - 2001. January 2001. Convex Optimization Two properties of condition numbers for convex programs via ...
Authors, Various
2012-01-01T23:59:59.000Z
OPTIMIZATION When OPT=2 is specified on the FTN control statement, the compiler optimizes the user code in the process
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
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
Industrial Optimization Compact Course
Kirches, Christian
of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control Topics Â· Optimal Control Â· Parameter Estimation and Optimum Experimental Design Â· Real-Time OptimizationIndustrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role
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...
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.
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
Online optimization and choice of optimization variables for control of heat exchanger networks
Skogestad, Sigurd
Online optimization and choice of optimization variables for control of heat exchanger networks B operation of a general heat exchanger network with given structure, heat exchanger areas and stream data to any heat exchanger network. Using this model periodically for optimization, the operating conditions
On-line optimization and choice of optimization variables for control of heat exchanger networks
Skogestad, Sigurd
On-line optimization and choice of optimization variables for control of heat exchanger networks B operation of a general heat exchanger network with given structure, heat exchanger areas and stream data to any heat exchanger network. Using this model periodically for optimization, the operating conditions
Applications of Numerical Optimal Control to Nonlinear Hybrid Systems
Zefran, Milo?
Applications of Numerical Optimal Control to Nonlinear Hybrid Systems Shangming Wei a , Kasemsak the system has no mem- ory, the embedding technique can be used to reduce the hybrid optimal control problem of the controllers. Key words: Hybrid systems, optimal control, numerical optimization, model predictive control
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.
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.
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.
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.
Article original Pollution fluore
Paris-Sud XI, Université de
Article original Pollution fluorée et croissance radiale des conifères en Maurienne (Savoie, France; accepté le 24 juillet 1989) Résumé - La recherche de l'impact de la pollution fluorée sur la croissance en en fonction de l'éloignement des sources de pollution, l'exposition et l'altitude. L'é- tude porte
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.
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
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...
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
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
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 ...
Optimization Online - Robust Optimization Submissions - 2013
Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing
Optimization Online - Combinatorial Optimization Submissions - 2014
Combinatorial Optimization Submissions - 2014. January 2014. Approximation Algorithms Worst-Case Performance Analysis of Some Approximation Algorithms ...
Optimization Online - Combinatorial Optimization Submissions - 2015
Combinatorial Optimization Submissions - 2015. January 2015. Polyhedra Steiner Trees with Degree Constraints: Structural Results and an Exact Solution ...
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.
Optimal control and Galois theory
Zelikin, M I; Kiselev, D D; Lokutsievskiy, L V [M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Moscow (Russian Federation)
2013-11-30T23:59:59.000Z
An important role is played in the solution of a class of optimal control problems by a certain special polynomial of degree 2(n?1) with integer coefficients. The linear independence of a family of k roots of this polynomial over the field Q implies the existence of a solution of the original problem with optimal control in the form of an irrational winding of a k-dimensional Clifford torus, which is passed in finite time. In the paper, we prove that for n?15 one can take an arbitrary positive integer not exceeding [n/2] for k. The apparatus developed in the paper is applied to the systems of Chebyshev-Hermite polynomials and generalized Chebyshev-Laguerre polynomials. It is proved that for such polynomials of degree 2m every subsystem of [(m+1)/2] roots with pairwise distinct squares is linearly independent over the field Q. Bibliography: 11 titles.
Palaniappan, Arun
2012-02-14T23:59:59.000Z
), ring resonator modulator (RRM), or Mach-Zehnder modulator (MZM) sources. The normalized transistor parameters are applied to jointly optimize the transmitter and receiver circuitry to minimize total optical link power dissipation for a specified data...
Credits. Development Optimization Online was developed by Jean-Pierre Goux. Optimization Online was conceived by Jean-Pierre Goux, Sanjay Mehrotra, and ...
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Nonlinear Optimization in Modeling Environments
Administrator
2005-01-26T23:59:59.000Z
Dec 16, 2004 ... Conformation and Protein Folding. DIMACS Series, Vol. 23, American Mathematical Society, Providence, RI. Pardalos, P.M. and Romeijn, H.E., ...
Python Optimization Modeling Objects (Pyomo)
2009-12-29T23:59:59.000Z
Dec 29, 2009 ... Load the results into the concrete instance. The pyomo script ... Profile data for these experiments also shows that a large fraction of the ...
Air Transport Optimization Model | NISAC
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of Energy Issues OpenPhoton SourceAgricultural-Marketing-ToolkitAhorreAir
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 - 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.
Origin of the Core Francis Nimmo
Nimmo, Francis
system, including the Earth, are composed primarily of iron and silicates. Due to its high density. Simple models of solar system formation suggest that 2 #12;elements with relatively low condensationOrigin of the Core Francis Nimmo Dept. Earth Sciences, University of California, Santa Cruz F
Original Article Journal of Intelligent Material Systems
Tan, Xiaobo
Original Article Journal of Intelligent Material Systems and Structures 24(13) 15571571 Ómetal composite sensors Hong Lei, Chaiyong Lim and Xiaobo Tan Abstract Motivated by their structural monitoring of cantilevered ionic polymermetal composite sensors that are excited at base. The proposed dynamic model
An implementable algorithm for the optimal design centering, tolerancing, and tuning problem
Polak, E.
1982-05-01T23:59:59.000Z
An implementable master algorithm for solving optimal design centering, tolerancing, and tuning problems is presented. This master algorithm decomposes the original nondifferentiable optimization problem into a sequence of ordinary nonlinear programming problems. The master algorithm generates sequences with accumulation points that are feasible and satisfy a new optimality condition, which is shown to be stronger than the one previously used for these problems.
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 ...
Branch and Bound for Boolean Optimization and the Generation of Optimality Certificates
Larrosa, Javier
optimization problems of the form (S, cost), where S is a clause set over Boolean variables x1 . . . xn, with an arbi- trary cost function cost : Bn R, and the aim is to find a model A of S such that cost algorithm that can model optimization concepts such as cost-based propagation and cost-based backjumping
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Vijayakumar, Sethu
Motivation · Stochastic Optimal feedback control (SOFC) is a plausible move- ment generation strategy in goal with non-linear dynamics and non-quadratic costs SOFC law can only be found locally and iteratively, e SOFC Model Random variables we use here: xt state of a plant (joint angles q and velocities q) ut
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million Cubic Feet) Natural Gas DeliveredStents -(NEI)I REEECNO OF DOCUMENTHealth21ORIGINAL SIGNED
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million Cubic Feet) Natural Gas DeliveredStents -(NEI)I REEECNO OF DOCUMENTHealth21ORIGINAL
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In About | Careers | Contact |A2. U.S. PerHowDOE Origins Resources with
No. RD-0016 -----Original Message-----
No. RD-0016 -----Original Message----- From: HK Hamann Sent: Friday, September 13, 2002 10:47 PM To: Comment@bpa.gov Subject: Fw: Save The Dams CORRECTION TO MY EARLIER E-MAIL ----- Original Message
Optimization of Reactive Power based on Newton-Raphson algorithm
Lavaei, Javad
based on your specific power flow system model. 1. Impact of Reactive Power Fig.1 simplified distribution and flow. Reactive power optimization focuses on mathematical models and optimization algorithms the active power loss minimum objective function as a mathematical model, constrains of mathematical model
Optimal Power Dispatch via Multistage Stochastic Programming
RÃ¶misch, Werner
Mathematical models for cost-optimal power scheduling in hydro-thermal systems often combine several di culties for the dis- patch of electric power in a hydro-thermal generation system over a certain time horizon. The short-term cost-optimal dispatch of electric power in a generation sys- tem under uncertain electricity
Impact of Turbulence Closures and Numerical Errors for the Optimization of Flow Control Devices
Paris-Sud XI, Université de
Impact of Turbulence Closures and Numerical Errors for the Optimization of Flow Control Devices J the use of a Kriging-based global optimization method to determine optimal control parameters conduct an optimization process and measure the impact of numerical and modeling errors on the optimal
Multivariable Optimization: Quantum Annealing & Computation
Sudip Mukherjee; Bikas K. Chakrabarti
2014-08-21T23:59:59.000Z
Recent developments in quantum annealing techniques have been indicating potential advantage of quantum annealing for solving NP-hard optimization problems. In this article we briefly indicate and discuss the beneficial features of quantum annealing techniques and compare them with those of simulated annealing techniques. We then briefly discuss the quantum annealing studies of some model spin glass and kinetically constrained systems.
Wind Electrolysis: Hydrogen Cost Optimization
Saur, G.; Ramsden, T.
2011-05-01T23:59:59.000Z
This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.
Parallel performance optimizations on unstructured mesh-based simulations
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Sarje, Abhinav; Song, Sukhyun; Jacobsen, Douglas; Huck, Kevin; Hollingsworth, Jeffrey; Malony, Allen; Williams, Samuel; Oliker, Leonid
2015-06-01T23:59:59.000Z
This paper addresses two key parallelization challenges the unstructured mesh-based ocean modeling code, MPAS-Ocean, which uses a mesh based on Voronoi tessellations: (1) load imbalance across processes, and (2) unstructured data access patterns, that inhibit intra- and inter-node performance. Our work analyzes the load imbalance due to naive partitioning of the mesh, and develops methods to generate mesh partitioning with better load balance and reduced communication. Furthermore, we present methods that minimize both inter- and intranode data movement and maximize data reuse. Our techniques include predictive ordering of data elements for higher cache efficiency, as well as communication reduction approaches.more »We present detailed performance data when running on thousands of cores using the Cray XC30 supercomputer and show that our optimization strategies can exceed the original performance by over 2×. Additionally, many of these solutions can be broadly applied to a wide variety of unstructured grid-based computations.« less
Thermodynamic Origin of the Cardassian Universe
Chao-Jun Feng; Xin-Zhou Li; Xian-Yong Shen
2011-01-31T23:59:59.000Z
In the Cadassian universe, one can explain the acceleration of the universe without introducing dark energy component. However, the dynamical equations of this model can not be directly obtained from the action principle. Recently, works on the relation between thermodynamics and gravity indicates that gravity force may not be the fundamental force. In this paper, we study the thermodynamics of the Cardassian universe, and regard it as the origin of this cosmological model. We find that the corresponding entropy obeys ordinary area law when the area of the trapping horizon is small, while it becomes a constant when area is going to be large in the original and modified polytropic Cardassian model, and it has a maximum value in the exponential one. It seems that the Cardassian universe only contains finite information according to the holographic principle, which states that all the information in the bulk should be encoded in the boundary of the bulk.
Thermodynamic Metrics and Optimal Paths
Sivak, David; Crooks, Gavin
2012-05-08T23:59:59.000Z
A fundamental problem in modern thermodynamics is how a molecular-scale machine performs useful work, while operating away from thermal equilibrium without excessive dissipation. To this end, we derive a friction tensor that induces a Riemannian manifold on the space of thermodynamic states. Within the linear-response regime, this metric structure controls the dissipation of finite-time transformations, and bestows optimal protocols with many useful properties. We discuss the connection to the existing thermodynamic length formalism, and demonstrate the utility of this metric by solving for optimal control parameter protocols in a simple nonequilibrium model.
Linear conic optimization for nonlinear optimal control
Didier Henrion
2014-07-07T23:59:59.000Z
Jul 7, 2014 ... Abstract: Infinite-dimensional linear conic formulations are described for nonlinear optimal control problems. The primal linear problem consists ...
Linear conic optimization for inverse optimal control
Edouard Pauwels
2014-11-05T23:59:59.000Z
Nov 5, 2014 ... Abstract: We address the inverse problem of Lagrangian identification based on trajectories in the context of nonlinear optimal control.
Optimization Online - Structural optimization of the Ziegler's ...
Oleg N. Kirillov
2010-12-24T23:59:59.000Z
Dec 24, 2010 ... Abstract: Structural optimization of non-conservative systems with ... with important applications in fluid-structure interactions, friction-induced ...
Linear conic optimization for nonlinear optimal control
2014-07-07T23:59:59.000Z
Jul 7, 2014 ... This linear transport equation is classical in fluid mechanics, statistical ... define a relaxed optimal control problem as an LP in the cone of non-.
Optimization Online - Global Optimization Submissions - 2011
Alberto Costa, Pierre Hansen, Leo Liberti. Theory A new look at nonnegativity on closed sets and polynomial optimization. Jean Bernard Lasserre. May 2011.
Optimization Online - Stochastic Optimization for Power System ...
Ludwig Kuznia
2011-02-17T23:59:59.000Z
Feb 17, 2011 ... Stochastic Optimization for Power System Configuration with Renewable Energy in Remote Areas. Ludwig Kuznia(lkuznia ***at*** mail.usf.edu)
Optimization Online - Probabilistic optimization via approximate p ...
W. van vAckooij
2015-05-27T23:59:59.000Z
May 27, 2015 ... Probabilistic optimization via approximate p-efficient points and bundle methods. W. van vAckooij(wim.van-ackooij ***at*** edf.fr )
Optimization Online - Robust Optimization Submissions - 2013
Mehdi Karimi, Somayeh Moazeni, Levent Tuncel. Robust optimization based self scheduling of hydro-thermal Genco in smart grids. Alireza Soroudi.
Triassic origin and early radiation of multicellular volvocine algae
Triassic origin and early radiation of multicellular volvocine algae Matthew D. Herron1 , Jeremiah-studied ETIs is the origin of multicellularity in the green alga Volvox, a model system for the evolution occurred dozens of times independently, for example in the red algae, brown algae, land plants, animals
Signal Timing Optimization to Improve Air Quality
Lv, Jinpeng 1983-
2012-12-11T23:59:59.000Z
the gap that the research on signal optimization at intersections lags behind the development of emissions models. The methodology development includes four levels: the vehicle level, the movement level, the intersection level, and the arterial level...
Signal Timing Optimization to Improve Air Quality
Lv, Jinpeng 1983-
2012-12-11T23:59:59.000Z
the gap that the research on signal optimization at intersections lags behind the development of emissions models. The methodology development includes four levels: the vehicle level, the movement level, the intersection level, and the arterial level...
Theory and Applications of Robust Optimization
Bertsimas, Dimitris J.
In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad ...
PGO: a Parallel Computing Platform for Global Optimization Based on Genetic
Kurien, Susan
scientific modeling and simulation processes. Along with a core optimization kernel built on a Genetic. Optimization refers to the pro- cess of identifying values for unknown model parameters or control variables so for the optimization process. For example, PEST (Doherty, 2004) uses a nonlinear optimization technique known
Original article Measurement and modelling of radiation
Paris-Sud XI, Université de
(Diawara, 1990) that the trunks have almost no effect on heat and mass exchange. The leaf area index (LAI
Palaniappan, Arun
2012-02-14T23:59:59.000Z
for the power optimization and comparison of high-speed electrical and optical links at a given data rate and channel type in 90 nm and 45 nm CMOS technologies. The electrical I/O design framework combines statistical link analysis techniques, which are used...