CIESC Journal ›› 2021, Vol. 72 ›› Issue (5): 2735-2744.DOI: 10.11949/0438-1157.20201335

• Process system engineering • Previous Articles     Next Articles

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

WEI Bin1(),ZHOU Xin1,WANG Yaowei2,GUO Zhenlian2,CHEN Xiaobo1,LIU Yibin2(),YANG Chaohe1   

  1. 1.College of Chemical Engineering, China University of Petroleum, Qingdao 266580, Shandong, China
    2.Shandong Chambroad Petrochemicals Co. , Ltd. , Binzhou 256600, Shandong, China
  • Received:2020-09-18 Revised:2020-12-09 Online:2021-05-05 Published:2021-05-05
  • Contact: LIU Yibin

基于改进NSGA-Ⅱ算法的FCC分离系统多目标优化

魏彬1(),周鑫1,王耀伟2,郭振莲2,陈小博1,刘熠斌2(),杨朝合1   

  1. 1.中国石油大学(华东)化学工程学院,山东 青岛 266580
    2.山东京博石油化工有限公司,山东 滨州 256600
  • 通讯作者: 刘熠斌
  • 作者简介:魏彬(1996—),男,硕士研究生, 13123161514@163.com
  • 基金资助:
    国家自然科学基金项目(21776312)

Abstract:

The process simulation software HYSYS was used to simulate the whole process of a 650000 t/a heavy oil catalytic cracking unit in a refinery. An improved non-dominated sorting genetic algorithm (NSGA-Ⅱ) was used for the multi-objective optimization of the FCC separation system, with the maximum yield of target products (gasoline + LPG) and minimum energy consumption of separation system as the optimization objectives. A meticulous multi-objective optimization method was established through the optimal selection of decision variables, the study of optimal algorithm parameters (including population, Pc, Pm adaptive strategy, and generation), and the optimal decision. The optimization results showed that the yield of the target products (gasoline + LPG) increased by 4.32 percentage points and the energy consumption of the separation system decreased by 16.88%. The optimization results provided important data support and optimization suggestions for the optimization of the operating variables of the FCC separation system.

Key words: FCC, separation system, NSGA-Ⅱ, multi-objective optimization, energy conservation

摘要:

应用流程模拟软件HYSYS对某炼厂65万吨/年重油催化裂化装置进行全流程模拟。以最大目的产品(汽油+液化气)收率与最小分离系统能耗为优化目标,采用改进的非支配排序遗传算法(NSGA-Ⅱ)对FCC分离系统进行多目标优化。通过对决策变量的择优选取、最优算法参数的研究(包括种群规模、PcPm自适应策略、遗传代数)、最优点的决策建立了一套缜密的多目标优化方法。优化结果显示,目的产品(汽油+液化气)收率提升4.32个百分点,分离系统能耗降低16.88%,为FCC分离系统的操作变量优化提供了重要的数据支持与优化建议。

关键词: 催化裂化, 分离系统, NSGA-Ⅱ, 多目标优化, 节能

CLC Number: