中国石油大学学报（自然科学版）2016，Vol.40Issue(2)：163-168,6.DOI:10.3969/j.issn.1673-5005.2016.02.021
一基于遗传算法的常减压装置多目标优化
Multi-objective optimization of crude and vacuum distillation system based on genetic algorithm
摘要
Abstract
A steady state model was developed to simulate an industrial crude distillation unit by using a process simulator Aspen Plus. On the basis of the genetic algorithm NSGA-Ⅱ, the optimization approach was proposed in terms of economic benefit and CO2 emission, through which the multi-objective optimization problem of the crude unit was solved. And the Pa-reto-optimal solutions of the optimal blending ratio and operational parameters were obtained. The results show that the eco-nomic benefit is proportional to the growing of CO2 emissions on the premise of keeping the product specification on the base of distribution of Pareto front. Therefore, increasing the proportion of light oil can improve economic profit and lead to in-creased CO2 emissions inevitably.关键词
常减压/Aspen Plus软件/多目标优化/Pareto解集/混炼比Key words
crude distillation unit/Aspen Plus software/multi-objective optimization/Pareto front/crude oil blending ratio分类
信息技术与安全科学引用本文复制引用
黄小侨,李娜,李军,宋丽娟,张玉贞,段永生..一基于遗传算法的常减压装置多目标优化[J].中国石油大学学报（自然科学版）,2016,40(2):163-168,6.基金项目
山东省优秀中青年科学家科研奖励基金项目(BS2014NJ010) （BS2014NJ010）
国家自然科学基金项目(21276279) （21276279）
