Abstract
Illustration of Automatic Panel Cleaning System
Highlights
From the traditional solar panels on the rooftops to the floating solar farms and the solar skins, the advent of the solar panels has come a long way
Thereby, the use of an autonomous drone along with artificial intelligence and computer vision facilitates an increase of efficiency by inhibiting soiling
A thermal camera is affixed on the drone, which highly aids in detecting the hotspots, cracks, and the temporary shadowing defects such as dust and bird droppings on the panel (Fig 1)
Summary
From the traditional solar panels on the rooftops to the floating solar farms and the solar skins, the advent of the solar panels has come a long way. The settling of the dust particles as layers on the solar panels leads to the obstruction of the sunrays from reaching the panels. It is recorded that dust and grime have an impact of about 5% loss of performance of the panel. Cleaning these settlings naturally by means of rain is not feasible in all the regions due to the conflicting climates of the different regions. Autonomous cleaning of the panels will clean the surface areas of the panel and uniformly and can reach every nook and corner of the panels. Thereby, the use of an autonomous drone along with artificial intelligence and computer vision facilitates an increase of efficiency by inhibiting soiling. Removing the particles subsequently increases the efficiency of the panel
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