Optimal design for dividing wall column using online Kriging surrogate model-based optimization method

被引：0

作者：

Zhao K. ^{[1
,2
]}

Jia S. ^{[1
,2
]}

Luo Y. ^{[1
,2
]}

Yuan X. ^{[1
,2
,3
]}

机构：

[1] School of Chemical Engineering and Technology, Tianjin University, Tianjin

[2] Institute of Chemical Engineering, Tianjin University, Tianjin

[3] State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin

来源：

Huagong Xuebao/CIESC Journal | 2022年 / 73卷 / 01期

关键词：

Computer simulation; Divided wall column; Kriging model; Optimization; Surrogate model;

D O I：

10.11949/0438-1157.20210961

中图分类号：

学科分类号：

摘要：

Divided wall column (DWC) is a new energy-saving distillation technology. However, its optimal design is a mixed integer nonlinear programming (MINLP) problem, and it is difficult to optimize the solution. In this paper, an online Kriging surrogate model-based optimization method is proposed and applied to the total annual cost optimization of DWC. Through the proposed method, the optimal solution of the optimization problem can be obtained by a small number of rigorous simulation data points. The solution of an illustrating example shows that, compared with the traditional offline surrogate model-based optimization method, the proposed method is more advantageous in terms of accuracy and effectiveness, being able to overcome the shortcomings of the traditional offline surrogate based-model optimization, such as time-consuming and large amount of calculation. © 2022, Editorial Board of CIESC Journal. All right reserved.

引用

页码：332 / 341

页数：9

共 34 条

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