Implementation of Dual Axis Solar Tracking System for Enhanced Solar Energy Generation
Malla Sudheer Kumar1, Gurubilli Haritha2, Valli Ganesh3, Nunna Aditya vamsi krishna 4, Singampalli Yashwanth 5, Pandranki Laxman rao6
1Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Visakhapatnam, India
2Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Vishakapatnam, India
3Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Vishakapatnam, India
4Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Vishakapatnam, India
5Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Vishakapatnam, India
6Department of Electrical and Electronics Engineering, Anil neerukonda Institute of Technology and Sciences, Vishakapatnam , India
1. ABSTRACT
The rapid increase in global energy demand and environmental concerns associated with fossil fuels have accelerated the adoption of renewable energy sources such as solar power. However, conventional solar panels are installed in fixed orientations, which limits their efficiency because they cannot continuously face the sun as its position changes throughout the day. To overcome this limitation, this research presents the design and implementation of an IoT-based dual axis solar tracking system capable of automatically aligning a solar panel with the sun’s position.
The proposed system utilizes LDR sensors, an ESP32 microcontroller, a stepper motor, and a servo motor to control the solar panel orientation along both azimuth and elevation axes. The system continuously monitors sunlight intensity using sensors and adjusts the panel direction accordingly to maximize solar energy capture. Additionally, IoT connectivity enables real-time monitoring and remote control through a mobile application.
Experimental results demonstrate that the dual-axis solar tracking system significantly improves energy generation compared to conventional fixed solar panels, achieving an efficiency improvement of approximately 30–45%. The proposed design provides an intelligent, cost-effective, and reliable solution for maximizing solar energy utilization in renewable energy systems.
Keywords:
Dual Axis Solar Tracking, Renewable Energy, ESP32, IoT Monitoring, Solar Energy Efficiency, Solar Energy, Dual Axis Solar Tracker, Photovoltaic (PV) System, Maximum Solar Irradiance Tracking, Microcontroller-Based Control, Light Dependent Resistor (LDR) Sensors, Renewable Energy Systems, Solar Panel Orientation Control, Energy Efficiency Enhancement, Embedded System for Solar Tracking.
