Bidirectional Solar Tracking System for Optimizing the Efficiency of Solar Panels

Abstract

This paper presents the development of a bidirectional solar tracking system to optimize photovoltaic energy capture. Using a solar geometry algorithm implemented in Python and controlled by an Arduino Uno microcontroller, the system dynamically adjusts the orientation of solar panels according to the sun's position throughout the day. Additionally, a universal configuration software was developed to enable automatic parameter adjustments for different locations and applications. The system's performance was evaluated by comparing a fixed panel with a tracked one under different environmental conditions. Preliminary results indicate a significant increase in energy efficiency with the use of tracking