Utilizing an Artificial Intelligence Model to Estimate Performance Coefficients in Absorption Cooling Systems

Abstract

Absorption cooling system is a cooling method used to transfer heat from one environment to another. In this system, the refrigeration cycle is based on a chemical reaction between two different fluids that absorb and expel heat. Generally, the absorption refrigeration system includes a refrigeration fluid and an absorbent heat absorbing fluid. Artificial intelligence is a field of science and engineering that aims to enable computer systems to have human-like intelligence. Artificial intelligence aims to enable computers to perform tasks such as data analysis, pattern recognition, learning, problem solving and decision making. In this study, the change of the inlet and outlet pressure values of the generator in the absorption cooling system and the prediction of the system performance (COP) value with the artificial intelligence model were studied.