Application of Multi-Objective Optimization in the Design of SMB in Chemical Process Industry

A new optimization and design strategy, multi-objective optimization, is applied to improve the performance of Simulated Moving Bed (SMB) and its modification, the Varicol systems with or without reactions. The capabilities of the new approach are illustrated considering three different applications of SMB (and Varicol process), namely, chiral drug separation, production of high concentrated fructose syrup and synthesis of methyl acetate ester. The non-dominated sorting genetic algorithm (NSGA) is used in obtaining Pareto optimal solutions. It was found that significant improvement is possible for both SMB and Varicol process.

並列關鍵字

Multi-objective optimization ； Simulated moving bed ； Varicol ； Genetic algorithm ； Pareto set

被引用紀錄

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張俊安（2011）。利用陰離子聚合反應法合成硬桿-柔曲-硬桿嵌段共聚物及其自組裝特性研究〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2011.00420

陳翊烽（2012）。應用於氧偵測器的低能隙高分子：合成與電子能帶結構調控〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.02125

黃世豪（2008）。利用偶合反應法合成聚對苯乙烯-聚2 乙烯之硬桿-柔曲塊狀共聚高分子及其自組裝特性研究〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2008.01860

黃昭睿（2004）。矽奈米結構與矽發光效率之關係研究〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.00397

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Application of Multi-Objective Optimization in the Design of SMB in Chemical Process Industry

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