关键词: 气体分馏装置 , 多目标优化, NSGA-II , 多元线性回归 , 操作优化

Abstract: The multiobjective optimization problem of gas fractionation unit was discussed. A steady state model was developed to simulate the gas fractionation unit by using a simulator PROII. The analog data was combined with multiple linear regression theory to identify model parameters of gas fractionation unit and establish its multiobjective optimization model. This study used the energy consumption; production output and product recovery as the objective function of multiobjective optimization. The nondominate sorting genetic algorithm (NSGAII) was used to solve the multiobjective optimization model and get pareto optimal solution sets. The optimization results show that it can increase the production of product and decrease energy consumption and emission of propylene by optimizing the operational conditions. The calculation results prove this algorithm had good feasibility validity and versatility. This optimal method can provide operational device and effective guidance tools in gas fractionation unit and other rectification devices.

Key words: Gas fractionation unit,    ,  Multiobjective optimization,    ,  NSGAII,    ,  Multiple linear regression,    , Operation optimization