Multi-objective optimization of FCC separation system based on NSGA-II

作     者：Liu, Yingjie Chu, Menghao Ye, Qing Li, Jinlong Han, Deqiu 

作者机构：Changzhou Univ Sch Petrochem Engn Changzhou 213164 Jiangsu Peoples R China Changzhou Univ Inst Urban & Rural Min Changzhou 213164 Jiangsu Peoples R China Jiangsu Key Lab Adv Catalyt Mat & Technol Changzhou Peoples R China Yellow River Delta Chambroad Inst Co Binzhou 256500 Peoples R China 

出 版 物：《CHEMICAL ENGINEERING SCIENCE》 (Chem. Eng. Sci.)

年 卷 期：2025年第302卷

核心收录：

学科分类：0817[工学-化学工程与技术] 08[工学] 

基　　金：Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology [BM2012110] National Nature Science Foundation of China [22178030, 22078026] Ministry of Education's Industry-university Cooperative Education Project 

主　　题：FCC separation system Multi-objective optimization NSGA-II algorithm The energy consumption 

摘      要：Based on the industrial production data, the simulation of the separation process of a 2 million tons/year FCC unit including the fractionation and the absorption-stabilization systems were conducted on Aspen Plus software. To optimize the operation process, multi-objective optimization was performed integrating the Aspen Plus platform and MATLAB environment utilizing the improved non-dominated sorting genetic algorithm (NSGA-II). The established multi-objective optimization model was used for the operating variable screening, the genetic algebra selection and the optimal solution determination. During the optimization, the total yield of LPG and stable gasoline was aimed as the first optimization objective while the energy consumption of the whole system as the second objective. Five expressions were applied as the constraint functions and nine operating variables were conducted as the decision variables. The results showed that the performances of FCC separation system have been greatly improved after optimization. Some optimization strategies are advised for the whole system. The total yield of LPG and stabilized gasoline increases by 2. 44 %, and the energy consumption of the separation system decreases by 41. 79 %. In addition, the CO2 emission is reduced by 23.59 t/h and the total annual cost (TAC) is reduced by $0.89 million/year. It has been revealed that the multi-objective optimization method based on NSGA-II algorithm is useful for the guidance of the optimization of industrial petrochemical process.