炼厂胺液脱硫系统多目标优化  

Multi-objective optimization of amine system for desulfurization in the refinery

作　　者：孙珊珊[1] 肖翔[2] 汪坤[2] 黄辉[1] 马萌宏 史彬[1] 鄢烈祥[1] 

机构地区：[1]武汉理工大学化学化工与生命科学学院,湖北武汉430070 [2]中国石油化工股份有限公司武汉分公司,湖北武汉430082

出　　处：《计算机与应用化学》2016年第10期1125-1129,共5页Computers and Applied Chemistry

基　　金：国家自然科学基金资助项目(21376185)

摘　　要：炼厂胺液脱硫系统由胺液吸收脱硫和胺液再生两部分所组成,本文将胺液脱硫系统作为一个整体进行研究。应用Aspen Plus软件建立了该系统的流程模拟模型,在此基础上,以系统能耗最小和胺液再生贫液中硫化氢浓度最小为优化目标,建立了该系统的多目标优化模型,应用多目标列队竞争算法(MOLCA)对模型进行了求解,得到了两优化目标的最优解集Pareto前沿,该前沿曲线揭示了再生贫液中硫化氢浓度与系统能耗两目标之间的关联规律,为炼厂胺液脱硫系统的操作优化与设计提供了重要参考。Amine system for desulfurization in the refinery includes amine absorption desulfurization and amine regeneration. Amine system for desulfurization is studied as a whole in this paper. A process simulation software, Aspen Plus is applied to establish this system. On the base of it, the multi-objective model is built in consideration of minimizing this system＇s energy consumption and minimizing the concentration of H_2S in lean amine regeneration solution. Multi-objective line-up competition algorithm（MOLCA） is employed to solve the model and then the Pareto front is obtained which reveals the law impact of the energy consumption on the concentration of H_2S in lean amine regeneration solution. This work provides reference for amine system for desulfurization in the refinery in design and operation optimization.

关 键 词：胺液脱硫系统 多目标优化 流程模拟 多目标列队竞争算法 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]