Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm

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• 作者：Jonggeol Na^a ; Krishnadash S. Kshetrimayum^a ; Ung Lee^b ; ^{Ung.Lee@avt.rwth-aachen.de} ; Chonghun Han^a ; ^{chhan@snu.ac.kr}
• 关键词：Multi-objective optimization ; Stochastic optimization ; Fischer-Tropsch ; Microchannel reactor ; Catalyst packing ; Computational fluid dynamics
• 刊名：Chemical Engineering Journal
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：313
• 期：Complete
• 页码：1521-1534
• 全文大小：3113 K
• 卷排序：313

文摘

Multi-objective optimization using a CFD model and genetic algorithm is proposed. Fischer-Tropsch microchannel CFD model with cobalt based catalyst is developed. Catalyst zone division increases productivity and decreases temperature raising. Optimal solution increases C5+ productivity to 22% and decreases ΔTmax to 63.2%. Catalyst zone division optimization can be applied to different packed bed reactors.