Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review
Heat exchangers are widely used in different chemical industries and energy systems. Among different types of heat exchangers, shell and tube heat exchangers are among the most conventional ones that have significant share in the market and industry. Performance of shell and tube heat exchangers is...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Review |
| Published: |
Elsevier Ltd
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833411400373895168 |
|---|---|
| author | Alhuyi Nazari M. Ahmadi M.H. Mukhtar A. Blazek V. Prokop L. Misak S. |
| author2 | 57197717697 |
| author_facet | 57197717697 Alhuyi Nazari M. Ahmadi M.H. Mukhtar A. Blazek V. Prokop L. Misak S. |
| author_sort | Alhuyi Nazari M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Heat exchangers are widely used in different chemical industries and energy systems. Among different types of heat exchangers, shell and tube heat exchangers are among the most conventional ones that have significant share in the market and industry. Performance of shell and tube heat exchangers is affected by a variety of factors which can lead to some difficulties and complications in the modeling by use of numerical simulation. Intelligent techniques like artificial neural networks would be practical solution for modeling and simulation of these heat exchangers with significant exactness. In this regard, scholars have applied these methods for performance prediction and modeling characteristics of shell and tube heat exchangers in recent years. In the present article, studies on the modeling of different characteristics of shell and tube heat exchangers such as Nusselt number, pressure loss and fouling are reviewed and their key findings are represented. The findings of the study revealed that employment of proper intelligent methods can lead to exact performance prediction of these devices with R2 values of as high as 0.99 for both heat transfer coefficient and pressure drop. Moreover, it is reported in the reviewed studies that performance of these approaches is influenced by a variety of factors such as the applied techniques in the model and their structure. The developed model by the intelligent techniques for would be applicable for performance prediction, design and optimization of shell and tube heat exchangers. Finally, some recommendations are provided for the future studies that would be helpful in development of more precise and comprehensive models. ? 2024 Elsevier Ltd |
| format | Review |
| id | my.uniten.dspace-36189 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-361892025-03-03T15:41:32Z Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review Alhuyi Nazari M. Ahmadi M.H. Mukhtar A. Blazek V. Prokop L. Misak S. 57197717697 55016898100 57195426549 57195261596 23393638900 34977261800 Chemical industry Forecasting Neural networks Nusselt number Shells (structures) Tubes (components) Energy systems Industry systems Intelligent method Intelligent techniques Model and simulation Performance Performance Modeling Performance prediction Practical solutions Shell-and- tube heat exchangers Heat exchangers Heat exchangers are widely used in different chemical industries and energy systems. Among different types of heat exchangers, shell and tube heat exchangers are among the most conventional ones that have significant share in the market and industry. Performance of shell and tube heat exchangers is affected by a variety of factors which can lead to some difficulties and complications in the modeling by use of numerical simulation. Intelligent techniques like artificial neural networks would be practical solution for modeling and simulation of these heat exchangers with significant exactness. In this regard, scholars have applied these methods for performance prediction and modeling characteristics of shell and tube heat exchangers in recent years. In the present article, studies on the modeling of different characteristics of shell and tube heat exchangers such as Nusselt number, pressure loss and fouling are reviewed and their key findings are represented. The findings of the study revealed that employment of proper intelligent methods can lead to exact performance prediction of these devices with R2 values of as high as 0.99 for both heat transfer coefficient and pressure drop. Moreover, it is reported in the reviewed studies that performance of these approaches is influenced by a variety of factors such as the applied techniques in the model and their structure. The developed model by the intelligent techniques for would be applicable for performance prediction, design and optimization of shell and tube heat exchangers. Finally, some recommendations are provided for the future studies that would be helpful in development of more precise and comprehensive models. ? 2024 Elsevier Ltd Final 2025-03-03T07:41:32Z 2025-03-03T07:41:32Z 2024 Review 10.1016/j.icheatmasstransfer.2024.107864 2-s2.0-85199563745 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199563745&doi=10.1016%2fj.icheatmasstransfer.2024.107864&partnerID=40&md5=5c75bec472d9b10f2bb6bcbca425e36b https://irepository.uniten.edu.my/handle/123456789/36189 158 107864 Elsevier Ltd Scopus |
| spellingShingle | Chemical industry Forecasting Neural networks Nusselt number Shells (structures) Tubes (components) Energy systems Industry systems Intelligent method Intelligent techniques Model and simulation Performance Performance Modeling Performance prediction Practical solutions Shell-and- tube heat exchangers Heat exchangers Alhuyi Nazari M. Ahmadi M.H. Mukhtar A. Blazek V. Prokop L. Misak S. Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title | Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title_full | Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title_fullStr | Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title_full_unstemmed | Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title_short | Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review |
| title_sort | intelligent techniques for prediction characteristics of shell and tube heat exchangers: a comprehensive review |
| topic | Chemical industry Forecasting Neural networks Nusselt number Shells (structures) Tubes (components) Energy systems Industry systems Intelligent method Intelligent techniques Model and simulation Performance Performance Modeling Performance prediction Practical solutions Shell-and- tube heat exchangers Heat exchangers |
| url_provider | http://dspace.uniten.edu.my/ |