Alternative Approach For Thermal Analysis Of Transcritical Co2 One-Stage Vapor Compression Cycles

Year 2016, , 1 - 6, 03.06.2016

Bayram Kılıç

https://doi.org/10.24107/ijeas.251263

Cited By: 1

Abstract

In this paper, an application artificial neural network (ANN) is presented to estimation the coefficient of performance (COP) in the transcritical CO2 one-stage vapor compression cycles. The thermodynamic properties of the transcritical CO2 one-stage vapor compression cycles were obtained from CoolPack program. The obtained data were used for training and testing artificial neural network. The results of the ANN are compared with the actual data. The coefficient of multiple determination (R2) value was obtained as 0.99907 for the coefficient of performance (COP), which is very satisfactory. A new formulation was derived for the determination of the coefficient of performance (COP) in the transcritical CO2 one-stage vapor compression cycles

Keywords

the coefficient of performance, transcritical, CO2, vapor compression cycles, ANN

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