Abstract:

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.