Absorption chiller- design and optimization of generator and condenser

Abstract

Since absorption chillers are more commodiouse than compression chillers, the usage of them increases these days. In comparison with compression chillers these type of chillers have lower coefficient of performance (COP). By improving the performance of each component of these chillers such as generator, condenser, heat exchanger and absorber the COP will increase. In this study , after designing generator and condenser an optimization was done on these two components by using genetic algorithm(GA). The parameters which consider for optimization were tube diameter, shell diameter and baffle spacing.The main purpose is to find the optimum amount of these three parameters so that the COP can be increased and the cost of absorption chillers is decreased simultaneously. After optimization the COP of the chiller increases from 0.62 to 0.66 and the price of chiller is reduced. These results indicate that GA is a successful optimization technique for the optimization of generator and condenser in absorption chillers.