Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming

doi:10.1016/j.cjche.2025.06.024

中国化学工程学报 ›› 2025, Vol. 88 ›› Issue (12): 296-309.DOI: 10.1016/j.cjche.2025.06.024

Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming

Kexin Zhu, Yi Cui, Yufei Wang

College of Chemical Engineering and Environment, China University of Petroleum (Beijing), Beijing 102249, China

收稿日期:2024-12-20 修回日期:2025-06-19 接受日期:2025-06-19 出版日期:2026-02-09 发布日期:2025-08-13
通讯作者: Yufei Wang,E-mail:wangyufei@cup.edu.cn
基金资助:
Financial support from the National Natural Science Foundation of China under Grant (22393954) is gratefully acknowledged.

Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming

Kexin Zhu, Yi Cui, Yufei Wang

College of Chemical Engineering and Environment, China University of Petroleum (Beijing), Beijing 102249, China

Received:2024-12-20 Revised:2025-06-19 Accepted:2025-06-19 Online:2026-02-09 Published:2025-08-13
Contact: Yufei Wang,E-mail:wangyufei@cup.edu.cn
Supported by:
Financial support from the National Natural Science Foundation of China under Grant (22393954) is gratefully acknowledged.

摘要/Abstract

摘要： With the energy problem becoming increasingly severe, industrial energy efficiency issues need to be solved urgently. The tube and shell heat exchanger, as the most widely used device for energy recovery and utilisation, its optimal design has become a significantly important research topic. Optimal design solves the tediousness of traditional design and can easily and accurately give the desired design results. Several industrial heat duty targets and pressure drop limitations for the design of shell-and-tube heat exchangers, such as high heat transfer efficiency, large temperature correction coefficient, and high capacity, cannot be met by single-shell units and require series or parallel arrangements. This paper uses Set Trimming to optimize the design of double shell and tube heat exchangers, assuming the possibility of series, parallel, or series-parallel arrangements. Minimum heat transfer area and minimum total annualized cost are used as objective functions to optimize the design of a single or double-shell heat exchanger that better meets the objectives.

关键词: Double shell and tube heat exchangers, Set trimming, Optimisation

Abstract: With the energy problem becoming increasingly severe, industrial energy efficiency issues need to be solved urgently. The tube and shell heat exchanger, as the most widely used device for energy recovery and utilisation, its optimal design has become a significantly important research topic. Optimal design solves the tediousness of traditional design and can easily and accurately give the desired design results. Several industrial heat duty targets and pressure drop limitations for the design of shell-and-tube heat exchangers, such as high heat transfer efficiency, large temperature correction coefficient, and high capacity, cannot be met by single-shell units and require series or parallel arrangements. This paper uses Set Trimming to optimize the design of double shell and tube heat exchangers, assuming the possibility of series, parallel, or series-parallel arrangements. Minimum heat transfer area and minimum total annualized cost are used as objective functions to optimize the design of a single or double-shell heat exchanger that better meets the objectives.

Key words: Double shell and tube heat exchangers, Set trimming, Optimisation

Kexin Zhu, Yi Cui, Yufei Wang. Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming[J]. 中国化学工程学报, 2025, 88(12): 296-309.

Kexin Zhu, Yi Cui, Yufei Wang. Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming[J]. Chinese Journal of Chemical Engineering, 2025, 88(12): 296-309.

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Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming

Globally optimal design of shell and tube heat exchangers under multi-scenario using set trimming

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