采用射流冲击凹坑散热器与扭带旋流发生器的高倍聚光光伏系统热管理

Abstract Efficient thermal management is essential for maintaining the performance and longevity of high-concentrator photovoltaic systems. Excessive heat buildup, caused by high concentrations of direct normal irradiation, can degrade photovoltaic cells, reduce their efficiency and potentially cause damage. To address this challenge, this study proposes an innovative design of jet impingement dimpled heat sink with and without twisted tape swirling generator, for effective active cooling of high concentrator photovoltaic systems. The twisted tape swirling generator was examined using twist ratios ranging from 2 to 14. The study was conducted for a concentration ratio of 1000 sun and Reynolds number of water coolant varying from 2500 to 6000 with the inlet temperature of 25 °C. The findings revealed that the design of jet impingement dimpled heat sink without twisted tape offers better thermal performance as indicated by lower average cell temperatures compared to the jet impingement dimpled heat sink design with twisted tape, with a cell temperature of 45.49 ° C and 39.75 °C at Reynolds numbers of 2500 and 6000 respectively. For the design with twisted ratios ranging from 2 to 14, the average cell temperature initially rises from twisted ratio of 2, reaching maximum values at twisted ratio of 6, with cell temperatures of 49.37 °C and 42.01 °C at Reynolds numbers of 2500 and 6000 respectively. As the twisted ratio increase beyond 6, the cell temperature begins to diminish, and at twisted ratio of 14, it drops to 46.31 °C and 40.06 °C at Reynolds numbers of 2500 and 6000 respectively. In terms of cell efficiency, the design of jet impingement dimpled heat sink without twisted tape achieves higher cell efficiency of 39.91 % and 40.02 % at Reynolds numbers of 2500 and 6000 respectively. For the design of jet impingement dimpled heat sink with twisted ratios, the minimum cell efficiency is observed at the twisted ratio of 6 for all Reynolds numbers, with the cell efficiency values of 39.83 % and 39.97 % at Reynolds number of 2500 and 6000, respectively. The CFD software ANSYS 2023R1 was employed for numerical calculations and verified with available data.