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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Veröffentlicht in:	Chemical engineering science Jg. 282; S. 119112
Hauptverfasser:	Xu, Tiantian, Li, Tianyue, Long, Jian, Zhao, Liang, Du, Wenli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 05.12.2023
Schlagworte:	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-Zugang:	Volltext
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