For 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 objectives.
This 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 design.
Multi-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 optimization.
Content:
Chapter 1 Introduction (pages 1โ16): Adrian Bonilla?Petriciolet and Gade Pandu Rangaiah
Chapter 2 Optimization of Pooling Problems for Two Objectives Using the ??Constraint Method (pages 17โ34): Haibo Zhang and Gade Pandu Rangaiah
Chapter 3 Multi?Objective Optimization Applications in Chemical Engineering (pages 35โ102): Shivom Sharma and Gade Pandu Rangaiah
Chapter 4 Performance Comparison of Jumping Gene Adaptations of the Elitist Non?dominated Sorting Genetic Algorithm (pages 103โ127): Shivom Sharma, Seyed Reza Nabavi and Gade Pandu Rangaiah
Chapter 5 Improved Constraint Handling Technique for Multi?Objective Optimization with Application to Two Fermentation Processes (pages 129โ156): Shivom Sharma and Gade Pandu Rangaiah
Chapter 6 Robust Multi?Objective Genetic Algorithm (RMOGA) with Online Approximation under Interval Uncertainty (pages 157โ181): Weiwei Hu, Adeel Butt, Ali Almansoori, Shapour Azarm and Ali Elkamel
Chapter 7 Chance Constrained Programming to Handle Uncertainty in Nonlinear Process Models (pages 183โ215): Kishalay Mitra
Chapter 8 Fuzzy Multi?Objective Optimization for Metabolic Reaction Networks by Mixed?Integer Hybrid Differential Evolution (pages 217โ245): Feng?Sheng Wang and Wu?Hsiung Wu
Chapter 9 Parameter Estimation in Phase Equilibria Calculations Using Multi?Objective Evolutionary Algorithms (pages 247โ265): Sameer Punnapala, Francisco M. Vargas and Ali Elkamel
Chapter 10 Phase Equilibrium Data Reconciliation Using Multi?Objective Differential Evolution with Tabu List (pages 267โ292): Adrian Bonilla?Petriciolet, Shivom Sharma and Gade Pandu Rangaiah
Chapter 11 CO2 Emissions Targeting for Petroleum Refinery Optimization (pages 293โ333): Mohmmad A. Al?Mayyahi, Andrew F.A. Hoadley and Gade Pandu Rangaiah
Chapter 12 Ecodesign of Chemical Processes with Multi?Objective Genetic Algorithms (pages 335โ367): Catherine Azzaro?Pantel, Adama Ouattara and Luc Pibouleau
Chapter 13 Modeling and Multi?Objective Optimization of a Chromatographic System (pages 369โ398): Abhijit Tarafder
Chapter 14 Estimation of Crystal Size Distribution: Image Thresholding Based on Multi?Objective Optimization (pages 399โ422): Karthik Raja Periasamy and S. Lakshminarayanan
Chapter 15 Multi?Objective Optimization of a Hybrid Steam Stripper?Membrane Process for Continuous Bioethanol Purification (pages 423โ447): Krishna Gudena, Gade Pandu Rangaiah and S. Lakshminarayanan
Chapter 16 Process Design for Economic, Environmental and Safety Objectives with an Application to the Cumene Process (pages 449โ477): Shivom Sharma,, Zi Chao Lim and Gade Pandu Rangaiah
Chapter 17 New PI Controller Tuning Methods Using Multi?Objective Optimization (pages 479โ501): Allan Vandervoort, Jules Thibault and Yash Gupta