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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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25006653 |
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| author | Samet Gürgen |
| author_facet | Samet Gürgen |
| author_sort | Samet Gürgen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-933e11fdde384f8fb7994b97bf2e04e3 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-933e11fdde384f8fb7994b97bf2e04e32025-08-20T03:25:04ZengElsevierCase Studies in Thermal Engineering2214-157X2025-08-017210640510.1016/j.csite.2025.106405Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithmsSamet Gürgen0Department of Naval Architecture and Marine Engineering, İskenderun Technical University, 31200, Hatay, TurkeyDetermining 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.http://www.sciencedirect.com/science/article/pii/S2214157X25006653Shell and tube heat exchangersOptimizationMeta-heuristic optimization algorithmsAlgorithm performance |
| spellingShingle | Samet Gürgen Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms Case Studies in Thermal Engineering Shell and tube heat exchangers Optimization Meta-heuristic optimization algorithms Algorithm performance |
| title | Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms |
| title_full | Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms |
| title_fullStr | Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms |
| title_full_unstemmed | Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms |
| title_short | Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms |
| title_sort | shell and tube heat exchanger optimization a critical literature assessment and fairness based comparative performance analysis of meta heuristic algorithms |
| topic | Shell and tube heat exchangers Optimization Meta-heuristic optimization algorithms Algorithm performance |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25006653 |
| work_keys_str_mv | AT sametgurgen shellandtubeheatexchangeroptimizationacriticalliteratureassessmentandfairnessbasedcomparativeperformanceanalysisofmetaheuristicalgorithms |