关键词: 芳烃抽提, 多目标优化, 自适应加权求和算法

Abstract: Aromatic extraction is an important process of industrial aromatic production, its operation will affect greatly the overall efficiency of the aromatic complex. Product purity model and process energy consumption model are obtained based on simulation and response surface method, which are applied on the optimization of the process. A multi-objective optimization model is developed to maximize the product purity and minimize the energy consumption. An improved adaptive weighted sum method is proposed and used to solve the model. The results show that the new method can improve the efficiency without decreasing the uniformity of distribution of Pareto optimal solutions. The optimal operation parameters are given for different purity grades. The comparison between the results of optimization and the base case result shows that the optimal operation condition can increase product purity while decrease the energy consumption. The model and method proposed can effectively improve the accuracy of decision making in the operation optimization of aromatic extraction process.

Key words: aromatic extraction, multi-objective optimization, adaptive weighted sum method