【作者】 曾祥宇； 薄翠梅； 张泉灵；

【Author】 Xiangyu Zeng;Cuimei Bo;Quanling Zhang;College of Mechanical and Power Engineering, Nanjing Tech University;College of Electrical Engineering and Control Science, Nanjing Tech University;Institute of Intelligent Manufacturing, Nanjing Tech University;

【机构】 南京工业大学机械与动力工程学院； 南京工业大学电气与控制科学学院； 南京工业大学智能制造研究院；

【摘要】 在双碳目标的背景下,传统化学工业需在经济效益与环境影响之间寻求平衡。本文提出了一种多目标优化框架,基于Aspen Plus平台构建丙烯酸提纯过程,在限定包括产品品质约束、工艺最大允许操作范围的基础上,通过带精英策略的快速非支配排序遗传算法(NSGA-II)来获得环境与经济效益双目标的帕累托前沿,并进一步采用多目标决策分析准则优劣解距离法(TOPSIS)来获得帕累托前沿最优操作点。最后,使用单变量分析法研究了脱酸塔塔顶压力、提纯塔塔顶压力、提纯塔回流比、水回流速率、甲苯回流速率对目标函数的影响,有望同时实现经济效益和环境影响最佳的双目标。更多还原

【Abstract】 In the context of the dual carbon target, the traditional chemical industry needs to seek a balance between economic benefits and environmental impacts. This article proposes a multi-objective optimization framework for constructing an acrylic acid purification process based on the Aspen Plus platform. Based on the constraints of product quality and the maximum allowable operating range of the process, the nondominated sorting genetic algorithm II(NSGA-II) is used to obtain the Pareto front of the dual objectives of environmental and economic benefits. Furthermore, the multi-objective decision analysis criterion TOPSIS is used to obtain the optimal operating point of the Pareto front. Finally, the single variable analysis method was used to study the effects of top pressure of deacidification tower, top pressure of purification tower, reflux ratio of purification tower, water reflux rate, and toluene reflux rate on the objective function. It is expected to achieve the best dual goals of economic benefits and environmental impact simultaneously.更多还原