Multi-Objective Optimization in Chemical Engineering: Developments and Applications

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Wiley; 1 edition (May 28, 2013). — 528 pFor reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectivesThis book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process designMulti-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimizationTable of ContentsPreface OverviewIntroductionAdrian Bonilla-Petriciolet and Gade Pandu RangaiahOptimization and Chemical EngineeringBasic Definitions and Concepts of Multi-Objective OptimizationMulti-Objective Optimization in Chemical EngineeringScope and Organization of the BookOptimization of Pooling Problems for Two Objectives Using the ε-Constraint MethodHaibo Zhang and Gade Pandu RangaiahIntroductionPooling Problem Description and Formulationsε-Constraint Method and IDE AlgorithmApplication to Pooling ProblemsResults and DiscussionConclusionsMulti-objective Optimization Applications in Chemical EngineeringShivom Sharma and Gade Pandu RangaiahIntroductionMulti-Objective Optimization Applications in Process Design and OperationMulti-Objective Optimization Applications in Petroleum Refining, Petrochemicals, and PolymerizationMulti-Objective Optimization Applications in the Food Industry, Biotechnology, and PharmaceuticalsMulti-Objective Optimization Applications in Power Generation and Carbon Dioxide EmissionsMulti-Objective Optimization Applications in Renewable EnergyMOO Applications in Hydrogen Production and Fuel CellsConclusionsII Multi-Objective Optimization DevelopmentsPerformance Comparison of Jumping-Gene Adaptations of the Elitist Nondominated Sorting Genetic AlgorithmShivom Sharma, Seyed Reza Nabavi and Gade Pandu RangaiahIntroductionJumping-Gene AdaptationsTermination CriterionConstraints Handling and Implementation of ProgramsPerformance ComparisonConclusionsImproved Constraint Handling Technique for Multi-objective Optimization with Application to Two Fermentation ProcessesShivom Sharma and Gade Pandu RangaiahIntroductionConstraint Handling Approaches in Chemical EngineeringAdaptive Constraint Relaxation and Feasibility Approach for SOOAdaptive Relaxation of Constraints and Feasibility Approach for MOOTesting of MODE-ACRFAMulti-Objective Optimization of the Fermentation ProcessConclusionsRobust Multi-Objective Genetic Algorithm (RMOGA) with Online Approximation under Interval UncertaintyWeiwei Hu, Adeel Butt, Ali Almansoori, Shapour Azarm and Ali ElkamelIntroductionBackground and DefinitionRobust Multi-Objective Genetic Algorithm (RMOGA)Online Approximation-Assisted RMOGACase StudiesConclusionChance Constrained Programming to Handle Uncertainty in Nonlinear Process ModelsKishalay MitraIntroductionUncertainty Handling TechniquesChance-Constrained Programming: FundamentalsIndustrial Case Study: GrindingConclusionFuzzy Multi-objective Optimization for Metabolic Reaction Networks by Mixed-Integer Hybrid Differential EvolutionFeng-Sheng Wang and Wu-Hsiung WuIntroductionProblem FormulationOptimalityMixed-Integer Hybrid Differential EvolutionExamplesSummaryIII Chemical Engineering ApplicationsParameter Estimation in Phase Equilibria Calculations using Multi-Objective Evolutionary AlgorithmsSameer Punnapala, Francisco M. Vargas and Ali ElkamelIntroductionicle Swarm Optimization (PSO)Parameter Estimation in Phase Equilibria CalculationsModel DescriptionMulti-Objective Optimization Results and DiscussionsConclusionsPhase Equilibrium Data Reconciliation using Multi-Objective Differential Evolution with Tabu ListA. Bonilla-Petriciolet, Shivom Sharma and Gade Pandu RangaiahIntroductionFormulation of the Data-Reconciliation Problem for Phase Equilibrium ModelingMulti-Objective Optimization using Differential Evolution with Tabu ListData Reconciliation of Vapor-Liquid Equilibrium by MOOConclusionsCO2 Emissions Targeting for Petroleum Refinery OptimizationMohmmad A. Al-Mayyahi, Andrew F.A. Hoadley and Gade Pandu RangaiahIntroductionMOO-Pinch Analysis Framework to Target CO2 EmissionsCase StudiesCase StudiesConclusionsEcodesign of Chemical Processes with Multi-Objective Genetic AlgorithmsCatherine Azzaro-Pantel and Luc PibouleauIntroductionNumerical ToolsWilliams–Otto Process (WOP) Optimization for Multiple Economic and Environmental ObjectivesRevisiting the HDA ProcessConclusions and PerspectivesModeling and Multi-objective Optimization of a Chromatographic SystemAbhijit TarafderIntroductionChromatography—Some FactsModeling Chromatographic SystemsSolving the Model EquationsSteps for Model CharacterizationDescription of the Optimization Routine—NSGA-IIOptimization of a Binary Separation in ChromatographyAn Example StudyConclusionEstimation of Crystal Size Distribution: Image Thresholding based on Multi-Objective OptimizationKarthik Raja Periasamy and S. LakshminarayananIntroductionMethodologyImage SimulationImage PreprocessingImage SegmentationFeature ExtractionFuture WorkConclusionsMulti-Objective Optimization of a Hybrid Steam Stripper-Membrane Process for Continuous Bioethanol PurificationKrishna Gudena, Gade Pandu Rangaiah and S LakshminarayananIntroductionDescription and Design of a Hybrid Stripper-Membrane SystemMathematical Formulation and OptimizationResults and DiscussionConclusionsExercisesProcess Design for Economic, Environmental and Safety Objectives with an Application to the Cumene ProcessShivom Sharma, Zi Chao Lim and Gade Pandu RangaiahIntroductionReview and Calculation of Safety IndicesCumene Process, its Simulation and CostingI2SI Calculation for Cumene ProcessOptimization using EMOO ProgramOptimization for Two ObjectivesOptimization for EES ObjectivesConclusionsNew PI Controller Tuning Methods Using Multi-Objective OptimizationAllan Vandervoort, Jules Thibault and Yash GuptaIntroductionPI Controller ModelOptimization ProblemPareto DomainOptimization ResultsController TuningApplication of the Tuning MethodsConclusionsIndex