Dynamic Model Parameter Identification and Simulation of SCR Based on Genetic Algorithm

Ren Hongjuan, Lou Diming, Zhu Jian, Luo Yiping
{"title":"Dynamic Model Parameter Identification and Simulation of SCR Based on Genetic Algorithm","authors":"Ren Hongjuan, Lou Diming, Zhu Jian, Luo Yiping","doi":"10.2174/1874123101509010062","DOIUrl":null,"url":null,"abstract":"The Selective Catalytic Reduce (SCR) is studied. The unknown parameters of the SCR kinetic model equations are fitted based on the Genetic Algorithm (GA), which is in the range of the allowable error, compared to the experimental data. Then in AVL Boost software, the simulation results of SCR reaction are obtained. Compared to the test data, the simulation results prove that the parameter identification is effective. At last, the SCR reaction is simulated in AVL Boost, and at the same exhaust temperature, the effect of GHSV and NSR on the SCR reaction is studied.","PeriodicalId":22933,"journal":{"name":"The Open Chemical Engineering Journal","volume":"36 1","pages":"62-66"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Chemical Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874123101509010062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Selective Catalytic Reduce (SCR) is studied. The unknown parameters of the SCR kinetic model equations are fitted based on the Genetic Algorithm (GA), which is in the range of the allowable error, compared to the experimental data. Then in AVL Boost software, the simulation results of SCR reaction are obtained. Compared to the test data, the simulation results prove that the parameter identification is effective. At last, the SCR reaction is simulated in AVL Boost, and at the same exhaust temperature, the effect of GHSV and NSR on the SCR reaction is studied.
基于遗传算法的SCR动态模型参数辨识与仿真
研究了选择性催化还原反应(SCR)。利用遗传算法对SCR动力学模型方程的未知参数进行拟合,拟合结果与实验数据的误差在允许范围内。然后在AVL Boost软件中,得到了SCR反应的仿真结果。通过与试验数据的比较,仿真结果证明了该方法的有效性。最后,在AVL Boost中模拟了SCR反应,并在相同排气温度下,研究了GHSV和NSR对SCR反应的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信