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

Authors : Bayram KILIÇ

Pages : 1-6

Doi:10.24107/ijeas.251263

View : 11 | Download : 5

Publication Date : 2016-06-03

Article Type : Research Paper

Abstract :In this paper, an application artificial neural network insert ignore into journalissuearticles values(ANN); is presented to estimation the coefficient of performance insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(R2); value was obtained as 0.99907 for the coefficient of performance insert ignore into journalissuearticles values(COP);, which is very satisfactory. A new formulation was derived for the determination of the coefficient of performance insert ignore into journalissuearticles values(COP); in the transcritical CO2 one-stage vapor compression cycles
Keywords : the coefficient of performance, transcritical, CO2, vapor compression cycles, ANN