Performance Optimization of Double Absorption Heat Transformers Using Genetic Algorithm in Order to Minimize Physical Exergy Destruction

In the present study, double absorption heat transformers that are known as a desirable technology for the reuse of medium level waste heat energy are investigated. The main parameter that is considered as well as others is physical exergy destruction. Through an optimization process by the Genetic algorithm, it is found that the new configuration has 14.3% and 3.36% higher distilled water and the COP compared to those parameters for common third type DAHT. When it comes to the total exergy destruction, it is 5.7% higher in comparison to the third type DAHT. Thermodynamic analysis and optimization are performed through EES.