Title: Exergetic optimisation of a multi-stage compression transcritical refrigeration cycle

Authors: M.M. Rashidi; A. Basiri Parsa; L. Shamekhi; F. Nazari; M. Ali

Addresses: Shanghai Key Lab of Vehicle Aerodynamics and Vehicle Thermal Management Systems, Tongji University, 4800 Cao An Rd., Jiading, Shanghai 201804, China; ENN-Tongji Clean Energy Institute of Advanced Studies, Shanghai, China ' Young Researchers and Elite Club, Hamedan Branch, Islamic Azad University, Hamadan 15743-65181, Iran ' Universite Paris 10, LTIE, EA 4415, GTE, 50 Rue de Sevres, F92410 Ville d'Avray, France ' Young Researchers and Elite Club, Hamedan Branch, Islamic Azad University, Hamadan 15743-65181, Iran ' Mechanical Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia

Abstract: Thermodynamic analyses as well as optimisation studies based on maximum cooling coefficient of performance (COP) as thermal efficiency and optimum values of exergy efficiency and total input work of a three-stage compression transcritical CO₂ cycle have been presented. A new triple-stage configuration of compression is presented, which uses two intercoolers to enhance the performance. For parametric optimisation, COP and total input work are selected as objective functions, which are calculated for different values of outlet pressure of first and second compressors. For optimisation, a procedure based on artificial neural network and particle swarm optimisation (PSO) algorithm is proposed. The procedure includes two stages. According to the parametric analysis data, in the first stage two different multilayer perceptron neural networks are trained. In the next stage, two distinct PSO algorithms are used to optimise total input work and thermal efficiency.

Keywords: CO2 refrigerants; carbon dioxide; cooling COP; coefficient of performance; exergy efficiency; artificial neural networks; ANNs; PSO; particle swarm optimisation; exergetic optimisation; multi-stage refrigeration cycle; compression transcritical refrigeration cycle; exergy analysis; compressor outlet pressure.

DOI: 10.1504/IJEX.2016.076677

International Journal of Exergy, 2016 Vol.20 No.1, pp.22 - 47

Received: 07 Nov 2014
Accepted: 12 May 2015
Published online: 20 May 2016 *

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