Solar Energy Augmentation Stratagem via Iot and Robotics

Abstract

There are two types of energy available on our Earth, renewable as well as non-renewable. These forms of energies are used to perform tasks like as simple as running a toy car to the much complex ones like to fly the space shuttles.  The fusion reaction on the sun is responsible to produce the light photons which travel millions of miles to reach our earth. This energy is converted to its electrical transformation using Photo Voltaic (PV) Modules by the Activated Silicon Junction Panels (ASJP) reaction with photon bundles. Even though there are several renewable energy sources are there like Solar, Wind, Hydro, Tidal, Geothermal, Biomass, etc. but among these Solar is most special. Solar energy is compact, transportable, abundant, and predictable. This makes it the right choice for the alternative to non-renewable energy sources. Solar panels are very economical and compared to the space they use, the lifespan they have and the power production they do is way impressive. The only drawback is declined efficiency due to dirt deposited on the solar panels. The current process deals with the manual cleaning of solar panels with water and chemicals. If the solar panels are hundreds in number and situated in cities it’s acceptable, think about if it’s located in deserts, hills, forests, cliffs and they are numbered in thousands.   There is an urgent need to create an automatic system to clean the solar panels for a larger number of panels and even those which are located in comparative complex geographical locations. In this paper, we do the real-time analysis of how we can create a system to keep solar panels clean so we can achieve the maximum possible energy yield even from a comparatively lesser number of panels. Our main aim is to create the robotic module for wet and dry cleaning the solar panel and to control it online. This will make them efficient without the manual intervention as the solar panels are generally fitted on desert and hills, they are extremely difficult to reach.