An Intellectual Dual Axis Efficient Solar Tracking System by Using IoT Integrated Controller

Abstract

The generation of power from the reduction of fossil fuels is the biggest challenge for the next half century. In this context solar tracking system is the best alternative to increase the efficiency of the photovoltaic panel. Solar trackers move the payload towards the sun throughout the day. Even in the hottest regions on the earth, the solar radiation flux available rarely exceeds 1 KW/M, which is insufficient for technological utilization. This problem can be rectified by an intellectual control algorithm, this paper proposed a Dual axis solar tracking system designed with IoT Arduino microcontroller plus Servo motor drive and BH1750 Light sensor. The results show that the solar tracking system increased the efficiency around 40% and energy received from the sun is improved from 9.00AM to 6.00PM. DC servo motor drive controlled by an IOT Arduino microcontroller drive unit that receives input signals from dedicated BH1750 Light sensor. This paper shows the results of solar tracking PV panel produced more energy than fixed one with about 59%.