A multi-objective optimization method for industrial park layout design: The trade-off between economy and safety

被引：16

作者：

Wang, Ruiqi ^{[1
,2
]}

Wang, Yufei ^{[1
]}

Gundersen, Truls ^{[2
]}

Wu, Yan ^{[3
]}

Feng, Xiao ^{[3
]}

Liu, Mengxi ^{[1
]}

机构：

[1] China Univ Petr, State Key Lab Heavy Oil Proc, Beijing 102249, Peoples R China

[2] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, NO-7491 Trondheim, Norway

[3] Xi An Jiao Tong Univ, Sch Chem Engn & Technol, Xian 710049, Shaanxi, Peoples R China

来源：

CHEMICAL ENGINEERING SCIENCE | 2021年 / 235卷

基金：

中国国家自然科学基金;

关键词：

Industrial park; Layout; Multi-objective optimization; Safety evaluation; Pareto curve; PROCESS PLANT LAYOUT; FACILITY; ALGORITHM;

D O I：

10.1016/j.ces.2021.116471

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The general layout design significantly impacts the economy and safety performance of an industrial park. In most of the previous works, safety issues are converted to economic numbers in objective functions. However, this conversion is not appropriate. In this work, a multi-objective optimization method is proposed to obtain a set of solutions that achieves different trade-offs between economy and safety. An improved FLUTE algorithm is employed to obtain the most economical pipe networks. An extended risk map method is proposed to describe the distribution of risk considering the uncertainty of weather conditions. The proposed model is compared with a single-objective method in one case study to show the superiority of the proposed method. In addition, three different evolutionary algorithms are employed to solve a second case for comparison. The results show that the non-dominated sorting genetic algorithm II (NSGA-II) is more effective for industrial facility layout problems with multi-objective. (c) 2021 Elsevier Ltd. All rights reserved.

引用

页数：20

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