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In this study, artificial neural networks (ANNs) and adaptive neuro‐fuzzy (ANFIS) have been used for performance analysis of organic rankine cycle (ORC) using refrigerants R123, R125, R227, R365mfc, SES36. It is well known that the steam generator temperature, condenser temperature, subcooling temperature, and superheating temperature affect the efficiency ratio of ORC. Therefore, efficiency ratio is forecasted depending on variable system parameters values. The results of ANN are compared with ANFIS in which the same data sets are used. Furthermore, new formulations derived from ANN for five refrigerants are presented for the determination of the efficiency ratio. The R2 values obtained from the networks were 0.99917, 0.99670, 0.99870, 0.99928, and 0.99911 for the R123, R125, R227, R365mfc, SES36 respectively which is very satisfactory. © 2018 American Institute of Chemical Engineers Environ Prog, 38: 254–259, 2019

İçten yanmalı motorların tasarım parametrelerinin pratik bir şekilde incelenmesi için sonlu zaman termodinamiği (FTT) modeli sıklıkla kullanılmaktadır. Yapılan bu çalışmada kurs oranı ve artık gaz kesrinin, tersinmezlikler, ısı kayıpları ve sürtünmenin de hesaba katıldığı bir otto çevrimli motorun performansı üzerindeki etkileri incelenmiştir. Çevrim başlangıç sıcaklığı artık gaz kesrinin bir fonksiyonu olarak tanımlanmıştır. Bu çalışma sonucunda kurs oranının artmasıyla, ve artık gaz kesrinin artmasıyla birlikte motor performansında belirgin bir seviyede düşüş yaşandığı görülmüştür.

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

In this study, exergy analyses of vapor compression refrigeration cycle with two-stage and intercooler using refrigerants R507, R407c, R404a were carried out. The necessary thermodynamic values for analyses were calculated by Solkane program. The coefficient of performance, exergetic efficiency and total irreversibility rate of the system in the different operating conditions for these refrigerants were investigated. The coefficient of performance, exergetic efficiency and total irreversibility rate for alternative refrigerants were compared.

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