Genetic algorithm approach to optimize a double-effect absorption chiller with parabolic trough solar collector in Tehran

Nowadays, the requirement for energy is increasing dramatically. That is why the scientists tend to use renewable energy more than ever. The optimum design of energy-consuming appliances and switching to renewable energy such as solar energy play important roles in energy usage reduction. These two important objects are linked together to optimize lithium bromide water solar absorption chiller’s coefficient of performance (COP) by using genetic algorithm. The genetic algorithm is inspired by nature in which can optimum the chiller’s COP by the method of reproduction from the best parents. It should be noted that the experimental methods to optimum the absorbing cycles with due attention to various functional conditions are impossible. Due to optimum the function of absorbing chiller, it is needed to create a thermo dynamical model for absorption chiller and attain the best situation for chiller’s COP. As a result, it is observed that COP value is increased by raising the temperature of high temperature generator.