化工学报2012，Vol.63Issue(9)：2771-2776,6.DOI:10.3969/j.issn.0438-1157.2012.09.015
基于非支配排序遗传算法的乙苯脱氢工艺条件优化
Optimization for operating conditions of ethylbenzene dehydrogenation based on non-dominated sorting genetic algorithm
摘要
Abstract
In order to improve the productivity and energy saving level of styrene in the dehydrogenation of ethylbenzene, optimization is an effective technological mean. The application of improved non-dominated sorting genetic algorithm is studied in optimization for operating conditions of dehydrogenation of ethylbenzene. Conversion and selectivity of the process of dehydrogenation of ethylbenzene to styrene are considered as the two objectives, and the kinetic model and process conditions are the constraints of the problems. NSGA-Ⅱ (non-dominated sorting genetic algorithm) is used to solve the optimization question of above dehydrogenation of ethylbenzene process. According to the obtained Pareto optimal solution set, the influence of operating conditions on conversion and selectivity of dehydrogenation of ethylbenzene is analyzed. Fuzzy comprehensive evaluation method is studied to satisfy specified demanding, supplying referenced optimal operating conditions. The results demonstrated good performance of NSGA- Ⅱ. For achieving global optimal. With this algorithm, a satisfactory solution in different operating constraints can be obtained.关键词
NSGA-Ⅱ/多目标优化/乙苯脱氢/模糊综合评价Key words
NSGA-Ⅱ/ multi-objective optimization/ dehydrogenation of ethylbenzene/ fuzzy comprehensive evaluation分类
信息技术与安全科学引用本文复制引用
俞辉,王超,李丽娟,张湜..基于非支配排序遗传算法的乙苯脱氢工艺条件优化[J].化工学报,2012,63(9):2771-2776,6.基金项目
江苏省高校自然科学基金项目(09KJB510003). （09KJB510003）
