反应器网络多目标综合优化

通过反应系统综合优化获得经济效益好、对环境友好的反应系统是大多化工厂提高全流程整体经济和环境性能的重要手段。反应器网络综合优化方法主要包括可得区法、导数分析法、超结构优化法、目标类法、经验推断法和分布参数法等,然而却很少有文献报道对反应器网络进行多目标综合优化。由于过程中往往存在多个相互冲突的目标函数,所以仅仅依靠单目标对反应器网络进行综合优化已显得不合适。本文采用分布参数法建立多目标优化模型,目标函数为经济最大化和环境影响最小,并采用非支配排序基因算法(NSGA-Ⅱ)进行优化得到Pareto最优解集。

Multi-objective optimization for reactor network synthesis

Reactor network synthesis optimization is an important means to improve the whole economic efficiency and environmental performance in chemical industry.The methods for reactor network synthesis optimization mainly include attainable region approach, derivative analytic approach, approaches based on superstructure optimization, approaches based on targets, empirical deduction method and distributed parameter method.However, there are very few papers on multi-objective optimization for reactor network synthesis.The processes generally have multiple objective functions that are conflicting in nature, so single objective optimization technique is not an appropriate approach.In this study, the multi-objective optimization model was established by using the distributed parameter method with maximizing economic benefits and minimizing environmental impact as objectives, and non-dominated sorting genetic algorithm(NSGA-Ⅱ) was used to obtain a Pareto optimal set.