分类
固有安全性
过程(计算)
生产(经济)
功能(生物学)
多目标优化
化工厂
资本投资
投资(军事)
遗传算法
帕累托原理
工艺安全
工程类
可靠性工程
数学优化
计算机科学
运营管理
经济
环境工程
数学
微观经济学
操作系统
财务
进化生物学
政治
法学
政治学
生物
程序设计语言
作者
Zi Lin,Linquan Gong,Jingjing Xu,Jiajia Jiang,Juncheng Jiang
标识
DOI:10.1016/j.psep.2023.06.060
摘要
Economy and safety are important factors for the layout design of chemical process plants. However, safety factors are often translated into economic indicators as a part of the objective function for layout optimization in previous studies. This may result in safety performance of chemical process plants does not meet the actual production requirements. In this paper, a multi-objective optimization method for chemical process plant layout is proposed to obtain series of solutions that can achieve the trade-off between economy and safety. The economic objective function is characterized by the total capital cost, including land cost, pipe cost, protection device cost and expected property loss from accidents. The safety objective function involves inherent safety which is evaluated by the Comprehensive Inherent Safety Index (CISI). The proposed multi-objective optimization model solved by non-dominated sorting genetic algorithm II (NSGA-II) is applied for layout optimization of an acrylic acid production plant. The results show a strong trade-off between competing economic and safety objectives according to the Pareto curve. The optimal solution ranges from 236,099 $ to 379,622 $ for total cost, corresponding to 87.7–132 for CISI. Safety will be improved significantly in the low-safety layout scheme when the capital investment increases slightly.
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