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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014Vol.4(3): 211-215 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.375

Energy Efficient Liquid Desiccant Hybrid Air Conditioning System

Y. A. F. El-Samadony and B. M. Gibbs

Abstract—Desiccant systems are widely regarded as energy-saving alternatives to vapour-compression air-conditioning for handling the latent load. In the present work an energy efficient liquid desiccant hybrid air conditioning system is proposed with a novel liquid desiccant calcium chloride regeneration system. This regeneration is obtained by spraying fine liquid desiccant, calcium chloride, droplets into hot moist air. The effect of spray regeneration conditions, ambient conditions and space cooling load sensible heat factor on the performance of the proposed system was investigated. A comparison between the proposed liquid desiccant air conditioning system and the traditional one was studied. It was found that the values of the injected droplet diameter size, spray angle, hot air temperature, and spray injection speed, had an important role in the evaporation process. At RSHF= 0.6, the proposed system achieves 72% energy savings compared to a traditional air conditioning system.

Index Terms—Hybrid air conditioning system, liquid desiccant, calcium chloride, spray.

Y. A. F. El-Samadony is with Mechanical Power Engineering Department, Faculty of Engineering, and Tanta University, Egypt (e-mail: samadony25@yahoo.co.uk).
B. M. Gibbs is with Energy and Resources Research Institute, Houldsworth Building, The University of Leeds, Leeds LS2 9JT, UK (e-mail: b.m.gibbs@leeds.ac.uk).

[PDF]

Cite: Y.A. F. El-Samadony and B. M. Gibbs, "Energy Efficient Liquid Desiccant Hybrid Air Conditioning System," International Journal of Modeling and Optimization vol. 4, no. 3, pp. 211-215, 2014.

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