详细信息
Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries
作者:Xu, Tiantian[1];Li, Tianyue[1];Long, Jian[1,2];Zhao, Liang[1];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]Qingyuan Innovat Lab, Quanzhou 362801, Peoples R China
年份:2023
卷号:282
外文期刊名:CHEMICAL ENGINEERING SCIENCE
收录:;EI(收录号:20233714702421);WOS:【SCI-EXPANDED(收录号:WOS:001075822500001)】;
基金:This work was supported by National Natural Science Foundation of China (Basic Science Center Program: 61988101) , Major Program of Qingyuan Innovation Laboratory (Grant No. 00122002) , the Shanghai Committee of Science and Technology, China (Grant No. 22DZ1101500) , National Natural Science Foundation of China (No. 61973124, No. 62373155) and Fundamental Research Funds for the Central Universities (222202317006).
语种:英文
外文关键词:Refinery steam system; Mixed -integer non -linear programming; Multi -period modeling; Multi -level optimization; CO 2 emission; Uncertainty
摘要:Steam system modeling and optimization contributes toward low energy consumption for large-scale industrial refineries. However, formidable challenges have been generated by steam demand variation, the optimization of CO2 emissions and outsourced steam, the uncertainty of sudden equipment failures, and the introduction of new equipment. To address this issue, this work presents a novel steam system model with periodic process steam demand. The multiple cost factors of CO2 emission treatment and outsourced steam are considered and formulated as a mixed integer nonlinear programming optimization problem. A strategy to discretize the uncertainty of equipment failure into three main scenarios is proposed. The proposed model, strategy, and introduction of new equipment are demonstrated on three cases of industrial refinery steam systems. In case 1, the optimized operating costs have reduced by 1.5%. In case 2, the optimized average operating cost is 1,135,402 CNY/h. In case 3, with the introduction of the aromatics turbocharged turbine (ATT) and the letdown valve, the optimized operating costs are 1,292,182 CNY/h and 1,316,227 CNY/h respectively, confirming the feasibility of introducing ATTs.
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