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

doi:10.1002/cjce.23226

	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
刊名	CANADIAN JOURNAL OF CHEMICAL ENGINEERING
	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
DOI	10.1002/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.
资助项目	National Natural Science Foundation of China[U1701262] ; Ministry of Industry and Information Technology of China[2016ZXFM06005]
WOS关键词	MODEL-PREDICTIVE CONTROL ; OZONE INJECTION ; NOX ; OPTIMIZATION ; ABSORPTION ; REMOVAL ; SO2
WOS研究方向	Engineering
语种	英语
出版者	WILEY
WOS记录号	WOS:000461075000005
资助机构	National Natural Science Foundation of China ; Ministry of Industry and Information Technology of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24966]
专题	中国科学院自动化研究所自动化研究所_综合信息系统研究中心
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.