Optimized cleaning and cooling for photovoltaic modules based on the output performance
2016
This study aimed to design and implement a smart automatic cleaning and
cooling system for photovoltaic modules to be activated based on power drop
resulting from dust accumulation and high temperature conditions. This was
tested by installing two side by side identical photovoltaic modules. The
first module was equipped with the prototype cleaning system while the
second one was considered as standard. An optimized cleaning and cooling
procedure was adopted using data acquisition system. The operational
performance of both panels was recorded and analyzed. An increase in energy
yield of 8.7% was obtained as a result of minimizing the operational
disturbances of dust accumulation and high surface temperature of the
photovoltaic panel.
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