Energy, exergy analysis and optimization by a genetic algorithm of a system based on a solar absorption chiller with a cylindrical PCM and nano-fluid

Abstract

At the present work modeling and improving the efficiency of a solar absorbing chiller system with a cylindrical phase change material (PCM) and nano-fluid is investigated. First, the absorbing chiller cycle is modeled by using the thermodynamic principles; after that, this model is changed to a standard mathematical planning model by using exergy analyses. Second, the mathematical model is optimized by a genetic algorithm and the optimum parameters of the cycle are calculated. The decision variables for optimization of the subsystem are the generator, the evaporator and the condenser temperatures. Finally, a cylindrical system of the PCM for storage of the thermal energy of the sun is designed by using the technique of thermal storage based on the enthalpy and finite volume method; the operation of the system is investigated.