Comparison of Artificial Intelligence Methods on the Performance of an Energy Conversion Cycle
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Mechanical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran.
کلید واژه: COP, DAHT, ECOP, exergy destruction, optimization,
چکیده مقاله :
In the present research, the performance of a double absorption heat transformer is investigated through the Variable Metric and the Conjugate Directions methods. The main desired parameters to optimize are COP, ECOP, and exergy destruction. The results showed no considerable difference in COP, ECOP, and total exergy destruction rate achieved by the two methods. Besides, it was clear that the design of the condenser and the absorber is very important. On the other hand, for the exergy destruction rate of components in some cases, the first algorithm performed better, while in other cases, the second algorithm did. Computer programming is accomplished through the EES.
In the present research, the performance of a double absorption heat transformer is investigated through the Variable Metric and the Conjugate Directions methods. The main desired parameters to optimize are COP, ECOP, and exergy destruction. The results showed no considerable difference in COP, ECOP, and total exergy destruction rate achieved by the two methods. Besides, it was clear that the design of the condenser and the absorber is very important. On the other hand, for the exergy destruction rate of components in some cases, the first algorithm performed better, while in other cases, the second algorithm did. Computer programming is accomplished through the EES.
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