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

Abstract: The energy-saving optimization for gas fractionation unit was discussed. A PRO/II process 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 method 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

Key words: gas fractionation unit, MOGWO, SUMT, dynamic search factor, energy-saving optimization