Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | CANADIAN JOURNAL OF CHEMICAL ENGINEERING |
ISSN | 0008-4034 |
2019-04-01 | |
卷号 | 97期号:4页码:876-887 |
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. |
关键词 | coking flue gas denitration data-based optimal setting CBR JITL |
DOI | 10.1002/cjce.23226 |
关键词[WOS] | MODEL-PREDICTIVE CONTROL ; OZONE INJECTION ; NOX ; OPTIMIZATION ; ABSORPTION ; REMOVAL ; SO2 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Ministry of Industry and Information Technology of China[2016ZXFM06005] ; National Natural Science Foundation of China[U1701262] ; National Natural Science Foundation of China[U1701262] ; Ministry of Industry and Information Technology of China[2016ZXFM06005] |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Chemical |
WOS记录号 | WOS:000461075000005 |
出版者 | WILEY |
七大方向——子方向分类 | 智能控制 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/24967 |
专题 | 中科院工业视觉智能装备工程实验室_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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
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