Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries

•A novel steam system model with periodic process steam demand is established.•The optimized model is proposed according to CO2 emission and outsourced steam.•Uncertainty of equipment failure is discretely classified into three scenarios.•Three cases of a real refinery are explored based on the prop...

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Bibliographic Details
Published in:Chemical engineering science Vol. 282; p. 119112
Main Authors: Xu, Tiantian, Li, Tianyue, Long, Jian, Zhao, Liang, Du, Wenli
Format: Journal Article
Language:English
Published: Elsevier Ltd 05.12.2023
Subjects:
CO2 emission
Mixed-integer non-linear programming
Multi-level optimization
Multi-period modeling
Refinery steam system
Uncertainty
Uncertainty
Refinery steam system
Mixed-integer non-linear programming
Multi-level optimization
CO2 emission
Multi-period modeling
ISSN:0009-2509, 1873-4405
Online Access:Get full text
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Summary:•A novel steam system model with periodic process steam demand is established.•The optimized model is proposed according to CO2 emission and outsourced steam.•Uncertainty of equipment failure is discretely classified into three scenarios.•Three cases of a real refinery are explored based on the proposed model. 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.
ISSN:0009-2509
1873-4405
DOI:10.1016/j.ces.2023.119112