Accelerating operation optimization of complex chemical processes: A novel framework integrating artificial neural network and mixed-integer linear programming

•A fully automated and comprehensive optimization framework is introduced.•The framework is potential to optimize complex chemical processes.•Distillation, organic Rankine cycle, and methanol synthesis are used as cases.•Significant enhancements are observed compared to classical algorithms.•The opt...

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Veröffentlicht in:	Chemical engineering journal (Lausanne, Switzerland : 1996) Jg. 481; S. 148421
Hauptverfasser:	Zhou, Jianzhao, Shi, Tao, Ren, Jingzheng, He, Chang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2024
Schlagworte:	Artificial neural network Distillation Methanol synthesis Mixed-integer linear programming Operational level optimization Organic Rankine cycle Distillation Operational level optimization Artificial neural network Methanol synthesis Organic Rankine cycle Mixed-integer linear programming
ISSN:	1385-8947, 1873-3212
Online-Zugang:	Volltext
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