Multi-objective optimization of cyclohexane oxidation process parameters based on inherent safety and economic performance

被引：0

作者：

Wang, Yifei ^{[1
]}

Ren, Jingjie ^{[1
]}

Bi, Mingshu ^{[1
]}

Ye, Haotian ^{[1
]}

机构：

[1] College of Chemical Engineering, Dalian University of Technology, Liaoning, Dalian

来源：

Huagong Xuebao/CIESC Journal | 2025年 / 76卷 / 06期

关键词：

genetic algorithm; inherent safety; multi-objective optimization; optimal design; Pareto front; uncatalyzed oxidation of cyclohexane;

D O I：

10.11949/0438-1157.20241457

中图分类号：

学科分类号：

摘要：

Due to the Due to the prevalence and danger of oxidation reactions in the chemical industry, a study was conducted on the typical process of cyclohexane oxidation. Aspen Plus was employed for process modeling and kinetic modifications. Before correction, the maximum error among the main products was 28.56%, which was reduced to 3.11% after correction. A multi-objective optimization of the non-catalytic oxidation of cyclohexane was conducted using the genetic algorithm (GA), with Dow's fire and explosion index (F&EI), total annual cost (TAC), and residual oxygen concentration as objective functions. The optimization generated a Pareto front. The results demonstrated that, compared to the original operating conditions, the optimized conditions achieved significant improvements. Under the constraint of maintaining the tail oxygen concentration below the industrial warning threshold of 3%, the equipment cost remained largely unchanged, while operating costs decreased by 34.7%. Additionally, the F&EI index was reduced from 156 to 76.66, lowering the risk level from“moderate risk”to“low risk”. © 2025 Materials China. All rights reserved.

引用

页码：2722 / 2732

页数：10

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