Synthesis and design of dividing-wall distillation column based on particle swarm optimization

被引：0

作者：

Qian X. ^{[1
]}

Huang K. ^{[1
]}

Chen H. ^{[1
]}

Yuan Y. ^{[1
]}

Zhang L. ^{[1
]}

机构：

[1] College of Information Science and Technology, Beijing University of Chemical Technology, Beijing

来源：

Huang, Kejin (huangkj@mail.buct.edu.cn) | 1600年 / Materials China卷 / 40期

关键词：

Column; Distillation; Dividing-wall distillation column; Optimization; Particle swarm optimization; Synthesis and design;

D O I：

10.16085/j.issn.1000-6613.2020-2396

中图分类号：

学科分类号：

摘要：

Dividing-wall distillation column (DWDC) is an effective way to enhance the thermodynamic efficiency of two or more traditional distillation columns. Because of the complicated inner structure and strong interactions of DWDCs, traditional sequential optimization requires much calculation time and it is difficult to achieve a global optimal solution. Standard particle swarm optimization is widely used and easy to be implemented, but it shows premature convergence and easy to drop into the local extremum. Therefore, the improved particle swarm optimization is studied in this paper for the synthesis and design of the Kaibel DWDC. Particle swarm optimization changes the learning strategy of particles and divides the particles into several subgroups employing the concept of the cellular neighborhood. 50 Steps of the optimization process based on standard and particle swarm optimization are compared. Results show that two-particle swarm optimization methods are able to complete the synthesis and design of the Kaibel DWDC, which has complicated inner structures and strong interactions. Moreover, the optimized results are significantly effective. © 2021, Chemical Industry Press Co., Ltd. All right reserved.

引用

页码：5967 / 5972

页数：5

共 23 条

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