Computational Fluid Dynamics and Thermal Performance Optimization of a Shell and Tube Heat Exchanger
- DOI
- 10.2991/978-94-6463-602-4_43How to use a DOI?
- Keywords
- Computational Fluid Dynamics; Heating; Ventilation and Air conditioning; heat exchanger; energy efficiency
- Abstract
This study provides an in-depth computational fluid dynamics (CFD) analysis and thermal performance optimization of a shell and tube heat exchanger, a critical component in Heating, Ventilation, and Air Conditioning (HVAC) systems. The heat exchanger, procured from McMaster-Carr, was optimized using CFD simulations and AHED software, focusing on key design parameters such as tube configuration, baffle spacing, and material selection. The study identified the tube length and surface area as pivotal factors in enhancing heat transfer efficiency. Through simulations, temperature and pressure distributions were analyzed, leading to design modifications that improved thermal efficiency by approximately 10% and reduced pressure drop by 52% within the exchanger. The optimized heat exchanger demonstrated enhanced performance, contributing to more energy-efficient HVAC systems.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Muhammad Abubakar AU - Mohsin Siddique AU - Shummaila Rasheed AU - Mahabat Khan PY - 2024 DA - 2024/12/24 TI - Computational Fluid Dynamics and Thermal Performance Optimization of a Shell and Tube Heat Exchanger BT - Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024) PB - Atlantis Press SP - 329 EP - 337 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-602-4_43 DO - 10.2991/978-94-6463-602-4_43 ID - Abubakar2024 ER -