DOI : https://dx.doi.org/10.26808/rs.st.i7v5.14 International Journal of Advanced Scientific and Technical Research Issue 7 volume 5 Sep-Oct 2017 Available online on http://www.rspublication.com/ijst/index.html ISSN 2249-9954 ©2017 RS Publication, rspublicationhouse@gmail.com Page 163 Predication of packed column absorber performance in absorption cooling system using (FFNN) Neural Networks M. Elhadary a , A. Shahata b , Bassem Nashaat Zakher c a Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Egypt c Mechanical Engineering, department, College of engineering, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt; c Pharos university in Alexandria (PUA), Mechanical Department, Alexandria, Egypt Abstract Absorption refrigeration system presents a promising alternative for the vapor compression system due to the increase of the environmental problems and electricity cost. In recent years, research has been increased to improve the performance of the ASs An experimental setupwas designed to study the increase in the absorption rate by using a new model of absorber component [Packed column absorber] by changing the type, height, and porosity of the packing. In this study, an artificial NN (ANN) has been used as a new approach for predicting the effect of using packed column absorber on the performance of the absorption cooling system using water–lithium bromide as the working fluid pair. The results showed that ANNs can be used as analternative way to determine the effect of different parameterson the absorption process of LiBr–water solutions. Equations derivedby using the ANN approach gives much faster and simplersolutions in comparison with the complex and limitedexperimental data provided in earlier literature. Keywords:Absorption system (AS), Artificial neural network ANN, neural network (NN), Absorber. 1. Introduction In recent years, interest in Vapor ASs has been growing because they use friendly refrigerants and absorbents which don’t deplete the ozone layer conforming Montreal and Kyoto Protocols. They use cheap alternative energy sources, such as solar energy or a waste byproduct heat source helping in the control of global warming. [1] Theoretical and experimental research studies on the Vapor ASs (VAS) have increased because these systems harness inexpensive energy sources like waste heat from gas and steam turbines, solar, geothermal and biomass in comparison to the vapor compression system. [2] Therefore, in recent years, research has been increased to improve the performance of the absorption refrigeration systems.The absorber is one of the most critical components in the ASs from the viewpoint of its size and performance since it is one of the largest components