详细信息

Monitoring and path optimization of catalytic reformer in a refinery: Principal component analysis and A* algorithm application  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Monitoring and path optimization of catalytic reformer in a refinery: Principal component analysis and A* algorithm application

作者:Li, Zhi[1];Ying, Yuhui[1];Yang, Minglei[1];Zhao, Liang[1];Zhao, Ling[2];Du, Wenli[1]

机构:[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Chem Engn, Shanghai 200237, Peoples R China

年份:2022

卷号:209

外文期刊名:EXPERT SYSTEMS WITH APPLICATIONS

收录:;EI(收录号:20223312563384);WOS:【SCI-EXPANDED(收录号:WOS:000856833500004)】;

基金:This work is supported by National Key Research & Development Program -Intergovernmental International Science and Technology Innovation Cooperation Project (2021YFE0112800), National Natural Science Fund for Distinguished Young Scholars (61725301), National Natural Science Foundation of China (22178103), the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017 and Shanghai AI Lab.

语种:英文

外文关键词:Catalytic reformer; Industrial data; PCA projection and remapping; Process monitoring; Path optimization

摘要:Catalytic naphtha reforming converts naphtha into gasoline or aromatics and is a vital petrochemical process in refineries. This paper developed a hybrid framework combining principal component analysis (PCA) and A* algorithm to find optimal operating conditions through process monitoring and path optimization. PCA is employed to develop an efficiency monitoring model using the process history data. The operating conditions with profit information are projected onto a two-dimensional plane using the first and second principal components. High- and low-profit intervals can be clearly distinguished on this map. The A* algorithm is then employed in finding an optimal trajectory from low-index to high-index on the projection map. Finally, the inverse transformation is used to obtain optimum variables for optimal operating conditions. The effectiveness of the proposed framework is verified by applying it to a Sinopec refinery.

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