CASIA OpenIR
A data-based optimal setting method for the coking flue gas denitration process
Li, Yaning1,2; Wang, Xuelei1; Liu, Zhenjie1; Bai, Xiwei1,2; Tan, Jie1
Source PublicationCANADIAN JOURNAL OF CHEMICAL ENGINEERING
ISSN0008-4034
2019-04-01
Volume97Issue:4Pages:876-887
Corresponding AuthorWang, Xuelei(xlwang98@sina.com)
AbstractThis 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.
Keywordcoking flue gas denitration data-based optimal setting CBR JITL
DOI10.1002/cjce.23226
WOS KeywordMODEL-PREDICTIVE CONTROL ; OZONE INJECTION ; NOX ; OPTIMIZATION ; ABSORPTION ; REMOVAL ; SO2
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[U1701262] ; Ministry of Industry and Information Technology of China[2016ZXFM06005]
Funding OrganizationNational Natural Science Foundation of China ; Ministry of Industry and Information Technology of China
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
WOS IDWOS:000461075000005
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24967
Collection中国科学院自动化研究所
综合信息系统研究中心
Corresponding AuthorWang, Xuelei
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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