Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review

M. Mohanraj, S. Jayaraj and C. Muraleedharan

Renewable and Sustainable Energy Reviews, 2012, vol. 16, issue 2, 1340-1358

Abstract: In this paper, an attempt has been made to review the applications of artificial neural networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat pump (RACHP) systems. The studies reported are categorized into eight groups as follows: (i) vapour compression systems (ii) RACHP systems components, (iii) vapour absorption systems, (iv) prediction of refrigerant properties (v) control of RACHP systems, (vi) phase change characteristics of refrigerants, (vii) heat ventilation air conditioning (HVAC) systems and (viii) other special purpose heating and cooling applications. More than 90 published articles in this area are reviewed. Additionally, the limitations with ANN models are highlighted. This paper concludes that ANN can be successfully applied in the field of RACHP systems with acceptable accuracy.

Keywords: Artificial neural network modeling; Refrigeration, air conditioning and heat pump systems (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (34)

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DOI: 10.1016/j.rser.2011.10.015

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