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改进遗传算法在Claus脱硫反应动力学研究中的应用
1.华东理工大学大型工业反应器工程教育部工程研究中心,上海 200237; 2.中国石油化工股份有限公司齐鲁分公司研究院,山东 淄博 255400
Application of Improved Genetic Algorithm in the Study of Claus Desulfurization Reaction Kinetic
1. Engineering Research Center of Large Scale Reactor Engineering and Technology of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; 2. Research Institute of Qilu Company, SINOPEC, Zibo 255400, China
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摘要 Claus工艺中硫化物会与气体中的甲烷反应生成少量的CS2,从而对体系的反应速率产生影响。为了建立该复杂体系的完整宏观动力学以纠正反应器开发和放大过程中带来计算结果的偏差,本工作基于传统的Claus脱硫反应动力学模型,通过引入修正参数β来修正原料气中CS2存在对反应速率的影响,并采用局部最优化算法与遗传算法相结合的算法对动力学模型参数进行了估值。统计检验和残差分析表明所建立的模型是适定的,估值结果是可信的。
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黄 瑜1
刘增让2
马宏方1
钱炜鑫1
朱 秦1
达建文2
曹发海1
关键词 Claus脱硫反应动力学改进遗传算法    
Abstract:The reactions between sulfides and methane in the Claus process produced a small amount of CS2, which affects the reaction rates of the system. In order to establish the complete macro-kinetics of this complicated system to correct deviations in the calculation results during the reactor development and scale-up, a correction coefficient β was introduced based on the traditional kinetic models of Claus desulfurization reaction and the effect of CS2 in feed gas was thus eliminated. The parameters of the kinetic model have been estimated using the combination of local optimization algorithm and genetic algorithm. The statistic test and the residual analysis have demonstrated that the established model was appropriate, and the estimation results were credible.
Key wordsClaus desulfurization    reaction kinetics    improved genetic algorithm   
收稿日期: 2017-11-28     
作者简介: 黄 瑜(1985—),男,博士研究生;钱炜鑫(1983—),男,讲师,通讯联系人。E-mail:wxqian@ecust.edu.cn。
引用本文:   
黄 瑜1,刘增让2,马宏方1等. 改进遗传算法在Claus脱硫反应动力学研究中的应用[J]. 化学反应工程与工艺, 2017, 33(6): 493-500.
Huang Yu 1,Liu Zengrang 2,Ma Hongfang 1 et al. Application of Improved Genetic Algorithm in the Study of Claus Desulfurization Reaction Kinetic[J]. 化学反应工程与工艺, 2017, 33(6): 493-500.
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