Optimization the efficiency of continuous solar adsorption refrigeration system with genetic algorithm

Abstract

The optimum performance of the continuous Solar Adsorption Refrigeration System unit with Genetic Algorithms (GA) is performed. The adsorption bed (generator) is the heart of the system and it has the greatest effect on the performance of the system. A good design of the generator leads to smooth operation and better results, so more attention must be paid towards the design influence on the performance of the system, with respect to many factors that have an effect on the performance of adsorptive solar ice maker unit. These factors contain Geometrical factors, Concentration factor Operating factors and Climatic factors. Which play an essential role on the designed, constructed, tests and optimized the solar adsorption refrigeration system in order to confirm and achieve the possibility of the principles of solar adsorption refrigeration system and assess the amount of methanol percentage to the amount of activated carbon (A.C). A field solar powered of ice maker unit designed, analyzed, built and tested, this unit was tested during three months from May till August 2012. The maximum (COP) of the solar adsorption system was 0.49 by ordinary calculation and 0.4883 by Genetic Optimization so there is compatible agreement between the classical method and Genetic Optimization. The concentration ratio X0 kg Methanol/kg (A.C) of the present solar adsorption system was 0.29 as a result of the experimental work and 0.286 by genetic optimization. The maximum mass desorbed is approximately 600 g / 3 kg (A.C) which is a good quality for forming 1 kg of ice, when the average solar radiation in Iraq was 900 W/m2.