Application of artificial neural networks for generation of energetic maps of a variable speed compression system working with R1234yf

The results show that artificial neural networks can be used to predict the COP of a vapor compression system, and to analyze how several input parameters of the system may affect its energetic performance. Additionally and for energetic comparison purposes, one artificial neural network was trained using data from a compression system operating with R134a, and another artificial neural network was trained with R1234yf.