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...

Full description

Bibliographic Details

Published in:	Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 481; p. 148421
Main Authors:	Zhou, Jianzhao, Shi, Tao, Ren, Jingzheng, He, Chang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2024
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!