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Prof. Hassan Fawzy Mohamed Elattar :: Publications:

Title:
Experimental investigation of energy and exergy performance of a direct evaporative cooler using a new pad type
Authors: S.A. Nada, A. Fouda, M.A. Mahmoud, H.F. Elattar
Year: 2019
Keywords: Evaporative cooler Bee-hive pad Cooling capacity Saturation efficiency Exergy efficiency
Journal: Energy & Buildings
Volume: 203
Issue: Not Available
Pages: 109449
Publisher: Elsevier
Local/International: International
Paper Link:
Full paper Hassan Fawzy Mohamed Elattar_Experimental investigation of energy and exergy performance of a.pdf
Supplementary materials Not Available
Abstract:

In this paper a comprehensive experimental parametric study on the performance of a new evaporative cooling pad type made of cellulose papers in bee-hive structure is presented. Four different pad sizes of face area 0.335 ×0.390 m 2 and thicknesses 35, 70, 105, and 140 mm are examined. The tests are carried out in a wind tunnel adapted with the evaporative cooling system. Experiments are conducted to evaluate the cooling pad performance parameters: air temperature drop, air humidity ratio raise, cooling capacity, water evaporation rate, saturation efficiency, pressure drop, energy efficiency, energy efficiency ratio, ex- ergy efficiency and overall exergy efficiency. The effects of the cooling pad thickness and the operating conditions including air velocity, inlet air temperature, water flow rate, water temperature and cooling pad thickness on the performance parameters are investigated. The results show that, the saturation ef- ficiency, exergy efficiency and overall exergy efficiency of the proposed pad enhance with increasing the pad thickness and water flow rate and their highest obtained values are 84%, 92% and 74%, respectively. The maximum pressure drop, temperature drop and cooling capacity obtained for this pad are 46 Pa, 18 °C and 6.26 kW, respectively. Moreover, the highest energy efficiency ratio is 281 obtained at 2 m/s air velocity. Finally, new dimensionless experimental correlations for predicting the system performance parameters in terms of various operating conditions and system size are presented.

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