基于改进MOGWO算法的气体分馏装置节能优化  

ENERGY-SAVING OPTIMIZATION OF GAS FRACTIONATOR BY IMPROVED MOGWO ALGORITHM

作　　者：刘涛 朱建军[1] 李佳怡[1] 辛瑞昊 Liu Tao;Zhu Jianjun;Li Jiayi;Xin Ruihao(College of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin,Jilin 132000)

机构地区：[1]吉林化工学院信息与控制工程学院,吉林吉林132000

出　　处：《石油炼制与化工》2021年第4期112-118,共7页Petroleum Processing and Petrochemicals

基　　金：吉林省教育厅项目(JJKH2017024KJ);吉林省教育科学“十三五”规划重点课题(ZD19057);吉林市科技局科研项目(2019301088)。

摘　　要：研究了气体分馏装置的节能优化问题,根据装置实际的工况数据建立PROⅡ工艺模拟模型,并对操作参数进行灵敏度分析,在此基础上应用线性回归分析法建立装置的多目标优化模型,采用惩罚函数机制与改进的多目标灰狼算法对模型进行求解。优化结果表明,可通过多组操作参数的优化搭配,使气体分馏装置在增加产量与减少丙烯排放的同时,降低生产能耗,实现装置的节能优化。此方法为气体分馏过程及其他精馏过程的节能优化设计提供了新的理论依据。The energy-saving optimization for gas fractionation unit was discussed.A PROⅡprocess simulation model was established by using the actual working condition data of the device.The sensitivity analysis of operation parameters were carried out,and then a multi-objective optimization model of gas fractionator were built by using the multiple linear regression theory.The penalty function algorithm and the improved multi-objective grey wolf algorithm were used to solve the optimization model.The results showed that the optimal collocation of multiple groups of operating parameters could increase the production and decrease the propylene emission and the energy consumption to realize the energy-saving optimization of gas fractionation unit.This method can provide a new theoretical basis for optimization design of gas separation plant and other distillation processes.

关 键 词：气体分馏装置 多目标灰狼算法 惩罚函数 动态搜索因子 节能优化 

分 类 号：TE96[石油与天然气工程—石油机械设备]