Performance optimization of Maisotsenko cycle heat exchangers: A three-dimensional parametric analysis

The Maisotsenko cycle (M-cycle) heat exchangers have emerged as a promising technology due to their potential for high heat transfer rates and sustainable cooling. However, previous studies have lacked comprehensive three-dimensional modeling to evaluate the effects of geometry, relative humidity, and airflow on heat exchanger performance. To address this gap, this study presents an optimized performance analysis of M-cycle heat exchangers using OpenFOAM. The research examines the impact of key parameters, including fluid flow rate, inlet humidity, and channel geometry, on heat transfer efficiency. Results indicate that reducing inlet humidity and increasing flow rate improves heat transfer, while channel geometry is critical to performance. Higher humidity in both the wet and dry channels minimizes the effectiveness of the heat exchanger. Additionally, parallel flow configurations outperform counter-flow setups, showing an 18 % higher efficiency and a 20 % increase in the Nusselt number. The efficiency of the heat exchanger ranged between 0.54 and 0.73, underscoring the importance of optimizing design parameters for different operating conditions. These findings offer valuable insights into addressing global energy efficiency challenges and advancing climate control technologies, providing practical guidance for engineers and researchers in sustainable cooling solutions.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-02-04
DOI
https://doi.org/10.1016/j.csite.2025.105829
Citations
4
Primary Topic
Adsorption and Cooling Systems
Type
article
Field-Weighted Citation Impact
2.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance optimization of Maisotsenko cycle heat exchangers: A three-dimensional parametric analysis

Seyed Esmail Razavi, Tohid Adibi, Hammad Alotaibi, Shams Forruque Ahmed et al.
4 citations
Case Studies in Thermal Engineering
Adsorption and Cooling Systems
2.85
article

Performance optimization of Maisotsenko cycle heat exchangers: A three-dimensional parametric analysis

Seyed Esmail Razavi, Tohid Adibi, Hammad Alotaibi, Shams Forruque Ahmed, Mohanad Naji Halool Abohned
article en
4 citations

Abstract

The Maisotsenko cycle (M-cycle) heat exchangers have emerged as a promising technology due to their potential for high heat transfer rates and sustainable cooling. However, previous studies have lacked comprehensive three-dimensional modeling to evaluate the effects of geometry, relative humidity, and airflow on heat exchanger performance. To address this gap, this study presents an optimized performance analysis of M-cycle heat exchangers using OpenFOAM. The research examines the impact of key parameters, including fluid flow rate, inlet humidity, and channel geometry, on heat transfer efficiency. Results indicate that reducing inlet humidity and increasing flow rate improves heat transfer, while channel geometry is critical to performance. Higher humidity in both the wet and dry channels minimizes the effectiveness of the heat exchanger. Additionally, parallel flow configurations outperform counter-flow setups, showing an 18 % higher efficiency and a 20 % increase in the Nusselt number. The efficiency of the heat exchanger ranged between 0.54 and 0.73, underscoring the importance of optimizing design parameters for different operating conditions. These findings offer valuable insights into addressing global energy efficiency challenges and advancing climate control technologies, providing practical guidance for engineers and researchers in sustainable cooling solutions.

Case Studies in Thermal EngineeringVol. 67
University of Bonab (IR), North South University (BD), Taif University (SA), University of Tabriz (IR), Sunway University (MY)
Taif University
Affordable and clean energy
Openalex Percentile: Top 11%
Adsorption and Cooling Systems
2.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance optimization of Maisotsenko cycle heat exchangers: A three-dimensional parametric analysis — Seyed Esmail Razavi, Tohid Adibi, et al. · Case Studies in Thermal Engineering (2025) | TGRS Research Map | TGRS