Statistical analysis of the energy performance of a refrigeration system working with R1234yf using artificial neural networks

• Published in: Applied thermal engineering Vol. 82; pp. 8 - 17
• Main Authors: Belman-Flores, J.M., Ledesma, Sergio
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 05.05.2015
• Subjects: Artificial neural networks; Compressing; Computational fluid dynamics; Computer simulation; Energy; Histogram; Modeling; Neural networks; R1234yf; Random variable; Refrigeration; Statistical analysis; Three dimensional; Vapor compression system; Histogram; Energy; R1234yf; Random variable; Modeling; Vapor compression system

This paper presents the application of an artificial neural network to carry out a statistical analysis of the energy performance for a compression vapor system operating with R1234yf as working fluid. The main contribution of this work is the creation of 3D plots for visualization of energy perform...