Performance of the Solar PV Module of the Dual Solar Axis Tracker of a Smart Home Monitoring System
Abstract
Nowadays, solar PV power plays a significant role in sustainable electrification. However, because of the positions of PV modules, the electricity generated by the solar system is drastically reduced. This study aims to design, build, and deploy a dual-axis solar PV tracking system. This study describes a module control tracking system based on artificial intelligence for more effective solar energy harvesting. The passive closed-loop system often employs two opposing solar-powered actuators to receive equal solar radiation only when the mirrors point directly toward the sun to provide feedback from its location. Without using feedback to verify the intended result, the controller enters a mathematical equation into the tracking system using only the current state of the system and the algorithm. The solar tracker system rotates the solar panel toward the sun or another light source using an Arduino board, two DC motors, four light dependent resistors, four resistors, and a monocrystalline panel. In conclusion, the project’s performance after testing satisfied the design criteria and is likely to boost the efficiency of solar panels.
Keywords: photovoltaic module, Arduino board, smart home monitoring system, solar panel tracking.
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