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A data-based optimal setting method for the coking flue gas denitration process

文献类型：期刊论文

作者Li, Yaning1,2; Wang, Xuelei1; Liu, Zhenjie1; Bai, Xiwei1,2; Tan, Jie1
刊名CANADIAN JOURNAL OF CHEMICAL ENGINEERING
出版日期2019-04-01
卷号97期号:4页码:876-887
关键词coking flue gas denitration data-based optimal setting CBR JITL
ISSN号0008-4034
DOI10.1002/cjce.23226
通讯作者Wang, Xuelei(xlwang98@sina.com)
英文摘要This study focuses on developing an optimal setting method for the first integrated coking flue gas desulphurization and denitration device in China. Maintaining the denitration process in a state of optimal economic efficiency has become an issue in production optimization control. This paper proposes a data-based two-stage nonparametric optimization method to optimize the operation of the denitration process. A principal component regression (PCR)-based multiple case fusion case-based reasoning (CBR) method is proposed to obtain the initial optimization set points. To overcome the steady-state modelling difficulties associated with the process, a local modelling method for the coking flue gas denitration process is developed using an improved just-in-time learning (JITL) algorithm. Taking the preset values obtained above as the initial value of an active set algorithm, the optimization problem can be solved in a timely and precise manner. The intelligent setting software has been developed for running industrial applications, and the results demonstrate the effectiveness of the proposed optimization approach.
WOS关键词MODEL-PREDICTIVE CONTROL ; OZONE INJECTION ; NOX ; OPTIMIZATION ; ABSORPTION ; REMOVAL ; SO2
资助项目National Natural Science Foundation of China[U1701262] ; Ministry of Industry and Information Technology of China[2016ZXFM06005]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000461075000005
出版者WILEY
资助机构National Natural Science Foundation of China ; Ministry of Industry and Information Technology of China
源URL[http://ir.ia.ac.cn/handle/173211/24966]  
专题综合信息系统研究中心_工业智能技术与系统
通讯作者Wang, Xuelei
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Li, Yaning,Wang, Xuelei,Liu, Zhenjie,et al. A data-based optimal setting method for the coking flue gas denitration process[J]. CANADIAN JOURNAL OF CHEMICAL ENGINEERING,2019,97(4):876-887.
APA Li, Yaning,Wang, Xuelei,Liu, Zhenjie,Bai, Xiwei,&Tan, Jie.(2019).A data-based optimal setting method for the coking flue gas denitration process.CANADIAN JOURNAL OF CHEMICAL ENGINEERING,97(4),876-887.
MLA Li, Yaning,et al."A data-based optimal setting method for the coking flue gas denitration process".CANADIAN JOURNAL OF CHEMICAL ENGINEERING 97.4(2019):876-887.

入库方式： OAI收割

来源：自动化研究所

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