Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms

Determining the optimum design of shell and tube heat exchangers (STHE) is a crucial issue for the efficient use of scarce energy resources. In particular, there is a great effort on the economic-based optimization of STHE. The most well-known STHE design in the literature is the one presented by Si...

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Bibliographic Details
Published in:	Case studies in thermal engineering Vol. 72; p. 106405
Main Author:	Gürgen, Samet
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2025 Elsevier
Subjects:	Algorithm performance Meta-heuristic optimization algorithms Optimization Shell and tube heat exchangers Shell and tube heat exchangers Algorithm performance Meta-heuristic optimization algorithms Optimization
ISSN:	2214-157X, 2214-157X
Online Access:	Get full text
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Summary:	Determining the optimum design of shell and tube heat exchangers (STHE) is a crucial issue for the efficient use of scarce energy resources. In particular, there is a great effort on the economic-based optimization of STHE. The most well-known STHE design in the literature is the one presented by Sinnot et al. This design problem has been addressed by many researchers with different optimization algorithms. In the first part of this study, an optimization study was conducted using a limited set of algorithms for the same optimization problem. In order to make comparisons, the objective function, decision variables and their boundary values were taken as the same. Initial findings showed that the results were quite close to each other, contrary to the literature. It was determined that the variability in the results of previous studies was due to differences in the mathematical model and incorrect optimization procedure. In the second part of the study, a comprehensive algorithm performance analysis of twenty meta-heuristic optimization algorithms was performed. This study aimed to perform algorithm performance for STHE optimization by integrating a fair evaluation approach. It also offers a robust framework for effectively using and comparing optimization algorithms in thermal engineering applications.
ISSN:	2214-157X 2214-157X
DOI:	10.1016/j.csite.2025.106405