SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2022, Vol. 41 ›› Issue (1): 162-169.DOI: 10.1016/j.cjche.2021.10.018

• Review • 上一篇    下一篇

Recent progress on equation-oriented optimization of complex chemical processes

Yuyang Kang1, Yiqing Luo1, Xigang Yuan1,2   

  1. 1 Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China;
    2 State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300350, China
  • 收稿日期:2021-07-12 修回日期:2021-10-26 出版日期:2022-01-28 发布日期:2022-02-25
  • 通讯作者: Yiqing Luo,E-mail address:luoyq@tju.edu.cn;Xigang Yuan,E-mail address:yuanxg@tju.edu.cn
  • 基金资助:
    This research was supported by the National Natural Science Foundation of China (21978203, 21676183).

Recent progress on equation-oriented optimization of complex chemical processes

Yuyang Kang1, Yiqing Luo1, Xigang Yuan1,2   

  1. 1 Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China;
    2 State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300350, China
  • Received:2021-07-12 Revised:2021-10-26 Online:2022-01-28 Published:2022-02-25
  • Contact: Yiqing Luo,E-mail address:luoyq@tju.edu.cn;Xigang Yuan,E-mail address:yuanxg@tju.edu.cn
  • Supported by:
    This research was supported by the National Natural Science Foundation of China (21978203, 21676183).

摘要: Process optimization in equation-oriented (EO) modeling environments favors the gradient-based optimization algorithms by their abilities to provide accurate Jacobian matrices via automatic or symbolic differentiation. However, computational inefficiencies including that in initial-point-finding for Newton type methods have significantly limited its application. Recently, progress has been made in using a pseudo-transient (PT) modeling method to address these difficulties, providing a fresh way forward in EO-based optimization. Nevertheless, research in this area remains open, and challenges need to be addressed. Therefore, understanding the state-of-the-art research on the PT method, its principle, and the strategies in composing effective methodologies using the PT modeling method is necessary for further developing EO-based methods for process optimization. For this purpose, the basic concepts for the PT modeling and the optimization framework based on the PT model are reviewed in this paper. Several typical applications, e.g., complex distillation processes, cryogenic processes, and optimizations under uncertainty, are presented as well. Finally, we identify several main challenges and give prospects for the development of the PT based optimization methods.

关键词: Simulation, Optimization, Algorithm, Pseudo-transient modeling method, Equation-oriented optimization, Complex chemical processes

Abstract: Process optimization in equation-oriented (EO) modeling environments favors the gradient-based optimization algorithms by their abilities to provide accurate Jacobian matrices via automatic or symbolic differentiation. However, computational inefficiencies including that in initial-point-finding for Newton type methods have significantly limited its application. Recently, progress has been made in using a pseudo-transient (PT) modeling method to address these difficulties, providing a fresh way forward in EO-based optimization. Nevertheless, research in this area remains open, and challenges need to be addressed. Therefore, understanding the state-of-the-art research on the PT method, its principle, and the strategies in composing effective methodologies using the PT modeling method is necessary for further developing EO-based methods for process optimization. For this purpose, the basic concepts for the PT modeling and the optimization framework based on the PT model are reviewed in this paper. Several typical applications, e.g., complex distillation processes, cryogenic processes, and optimizations under uncertainty, are presented as well. Finally, we identify several main challenges and give prospects for the development of the PT based optimization methods.

Key words: Simulation, Optimization, Algorithm, Pseudo-transient modeling method, Equation-oriented optimization, Complex chemical processes