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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Vydané v:	Chemical engineering science Ročník 282; s. 119112
Hlavní autori:	Xu, Tiantian, Li, Tianyue, Long, Jian, Zhao, Liang, Du, Wenli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 05.12.2023
Predmet:	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
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