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Energies 2018, 11(12), 3374; https://doi.org/10.3390/en11123374

Comparative Study of the Cross-Flow Heat and Mass Exchangers for Indirect Evaporative Cooling Using Numerical Methods

1,* , 2
and
1,*
1
College of Mechanical and Energy Engineering, Jimei University, Xiamen 361021, China
2
School of Environment and Chemical Engineering, Xi’an Polytechnic University, Xi’an 710048, China
*
Authors to whom correspondence should be addressed.
Received: 4 November 2018 / Revised: 24 November 2018 / Accepted: 29 November 2018 / Published: 2 December 2018
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Abstract

This paper presents a comparative study of the cross-flow regenerative heat and mass exchanger (HMX) and the conventional cross-flow HMX for indirect evaporative cooling (IEC) with numerical methods. The objective of this study is mainly to clarify the applicability of the two HMXs. The numerical model was built and validated by existing experimental data. The difference in heat and mass transfer between the two HMXs was revealed by analyzing the change of the temperature and moisture content of the air, and the influence of the main operating parameters on the cooling performance of the HMXs was analyzed. In the typical operating conditions, when the HMXs are used alone, the cooling performance of the regenerative HMX is better than that of the conventional HMX under low supply air flow rate. When the HMXs are used in the multistage evaporative cooling systems with high supply air flow rate, the conventional HMX is more suitable as the first stage of the system to pre-cool the supply air, while the regenerative HMX is more suitable as the second stage to re-cool the supply air. View Full-Text
Keywords: indirect evaporative cooling; heat and mass transfer; cross-flow; numerical simulation; cooling performance; applicability indirect evaporative cooling; heat and mass transfer; cross-flow; numerical simulation; cooling performance; applicability
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Wang, Y.; Huang, X.; Li, L. Comparative Study of the Cross-Flow Heat and Mass Exchangers for Indirect Evaporative Cooling Using Numerical Methods. Energies 2018, 11, 3374.

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