Optimization of a thermoelectric refrigeration system to enhance cooling capacity
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Mechanical Engineering, Engineering Faculty, Islamic Azad University, Ahar Branch, Ahar, Iran
کلید واژه: coefficient of performance, cooling capacity, thermoelectric refrigeration system, imperial competitive optimization algorithm,
چکیده مقاله :
Due to the widespread use of refrigeration systems in industries, residential and commercial buildings and the major contribution of these systems in the consumption of electrical energy, extensive research is underway to find new technologies for cooling and refrigeration systems. Considering the high consumption of energy in the compression and absorption refrigeration systems, researchers and engineers are developing new refrigeration methods and systems, including modern thermoelectric refrigeration systems. Due to the low coefficient of performance of thermoelectric based systems, extensive research is needed to optimize, develop and find new design methods for these systems. Therefore, in this research, the optimization of the cooling system based on the thermoelectric system has been conducted. For this purpose, the imperial competitive optimization algorithm (ICA) has been used to optimize the thermoelectric system. The objective function of the optimization is the cooling capacity of the refrigeration system. Various parameters of the thermoelectric refrigeration system, such as the amount of electric current on the cold and hot sides of the refrigeration system, were selected as design and optimization variables. The obtained results of the present study have been compared with the results presented by previous researchers. The outlined results revealed that ICA algorithm has a high capability in the optimal design of thermoelectric refrigeration systems.
