研究目的
To mitigate the effect of high temperature on PV system efficiency in harsh environments like Qatar and the Middle East by developing a novel water cooling system.
研究成果
The developed water cooling system significantly improved the efficiency of PV panels in harsh environments by reducing the panel temperature and increasing the output power. The system also provided hot water for other applications. However, scaling up this approach to large-scale PV farms would require further studies in terms of cost and system optimization to assess its viability.
研究不足
The cooling module was less efficient before the commencement of cooling compared to a normal panel because it had a cover on the backside that blocked the natural ways of cooling, such as wind flow. The design was built to eliminate thermal resistance between the coolant and the panel, and it should be on continuous cooling mode. No optimization studies were done for cooling system components’ cost in this study.
1：Experimental Design and Method Selection:
A novel design of a PV cooling system using water was developed to mitigate the effect of high temperature. The system comprised a 250-L reservoir, DC pumps with a rated flow of 20 L/min, PVC tubes, PVC pipes, and electric valves. An aluminum sheet of 4 mm was utilized to cover the backside of the panel with a capacity of 19 L to eliminate physical resistance between the coolant and cells.
2：Sample Selection and Data Sources:
Two identical mono-crystalline solar modules were used, tilted at an angle of 47? ± 2? with respect to horizontal ground plane at 190? facing south. The experiment was conducted from 11:00–14:00 on Tuesday 27 December 2016 at Qatar University.
3：List of Experimental Equipment and Materials:
Digital volt-meter (Fluke 179), digital amp-meter (Fluke 179), digital ohm-meter (Fluke 179), temperature sensor (BK precision model 720), light meter (PRO’SKIT MT-4017), compass (SUUNTO MC-2/G/6400), and a 250-L reservoir, DC pumps, PVC tubes, PVC pipes, and electric valves.
4：Experimental Procedures and Operational Workflow:
The system was automatically controlled by the Arduino microcontroller kit. LabVIEW software was used for monitoring, data logging, and to modify the cooling mode as per the command from the user. Cooling of the active (front surface) surface started at 11:10 for 3.2 min.
5：2 min.
Data Analysis Methods:
5. Data Analysis Methods: The output power of PV vs. time for front and back surface cooling was analyzed, and the temperature of the panel was monitored.
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