2016
DOI: 10.24107/ijeas.251263
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Alternative Approach For Thermal Analysis Of Transcritical Co2 One-Stage Vapor Compression Cycles

Abstract: In this paper, an application artificial neural network (ANN) is presented to estimation the coefficient of performance (COP)

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Cited by 3 publications
(3 citation statements)
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“…Kılıç [6], investigated estimation of the coefficient of performance (COP) in the transcritical CO2 one-stage vapor compression cycles with ANN. He compared the ANN results with target data and (R2) value was obtained as 0.99907.…”
Section: Introductionmentioning
confidence: 99%
“…Kılıç [6], investigated estimation of the coefficient of performance (COP) in the transcritical CO2 one-stage vapor compression cycles with ANN. He compared the ANN results with target data and (R2) value was obtained as 0.99907.…”
Section: Introductionmentioning
confidence: 99%
“…Kılıç made an application artificial neural network to estimation the coefficient of performance in the transcritical CO2 one-stage vapor compression cycles. The results of the ANN are compared with the actual data [18]. When considering the benefits, more work needs to be done on ORC systems estimated by network systems.…”
Section: Fig 1 Simple Organic Rankine Cycle (Orc)mentioning
confidence: 99%
“…It contains modules for the calculation of a total of 7 different ones and two-step cycle processes and for dimensioning of a refrigerant's pipe lines. Besides, Solkane program contains 5 different cooling cycle and 2 different Rankine cycle in the program structure [10].…”
Section: Solkane Programmentioning
confidence: 99%