Pretreatment process simulation and multi-objective optimization of C5 by reactive dividing wall column

被引：0
作者：
Shi X. [1 ]
Zhu W. [1 ]
Ye H. [1 ]
Han Z. [1 ]
Dong H. [1 ]
机构：
[1] School of Chemical Engineering, Dalian University of Technology, Dalian
来源：
Huagong Xuebao/CIESC Journal | 2022年 / 73卷 / 03期
关键词：
Multi-objective algorithm; Optimal design; Reactive distillation; Reactive dividing wall column; Response surface analysis; Simulation;
D O I：
10.11949/0438-1157.20211308
中图分类号：
学科分类号：
摘要：
In view of the high energy consumption in the pretreatment section of C5 comprehensive utilization, this paper proposes the reactive dividing wall column (RDWC) pretreatment process based on the reactive distillation (RD) pretreatment process. First of all, the chemical simulation software Aspen Plus was used to build the RDWC four tower equivalent rigorous model, and the degree of freedom and univariate analysis were carried out. On this basis, the response surface Box-Behnken Design (BBD) method is used as the model fitting tool to fit the functional relationship between target variables and decision variables, and the fitting results are analyzed by ANOVA. Finally, multi-objective evolutionary algorithm based on decomposition (MOEA/D) is used to optimize the RDWC pretreatment process, and a series of Pareto optimal solutions are obtained. The solution with the smallest TAC is selected and compared with the RD pretreatment process. The results show that compared with RD pretreatment process, RDWC pretreatment process can save TAC 12.8%, save reboiler load 27.8%, and improve selectivity. © 2022, Editorial Board of CIESC Journal. All right reserved.
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页码：1246 / 1255
页数：9
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