| dc.description.abstract | This project presents the design, construction, and performance analysis of a Dual- Axis
Robotic Solar Panel Tracker aimed at maximizing the efficiency of solar energy
harvesting. Conventional fixed solar panels suffer from energy loss due to the changing
position of the sun throughout the day and across seasons. To overcome this limitation,
this system utilizes a dual-axis tracking mechanism that enables the solar panel to
follow the sun’s trajectory both horizontally (azimuth) and vertically (elevation).
The system is developed using an Arduino/PIC microcontroller integrated with four
Light Dependent Resistors (LDRs) placed at the corners of the panel to detect the
intensity of sunlight. Based on the sensor feedback, two Servo Motors are controlled
to orient the panel at an optimal 90-degree angle to the sun’s rays. Additionally, the
project incorporates a Maximum Power Point Tracking (MPPT) algorithm or charge
controller to optimize the power output and battery charging efficiency.
Experimental results indicate that the dual-axis tracker significantly enhances the
energy output compared to static solar systems. Performance analysis shows an
efficiency improvement of approximately 25% to 40%, depending on weather
conditions. This project demonstrates a cost-effective and sustainable solution for
improving solar power generation in residential and industrial applications. | en_US |
