Smart Solar-Powered Street Lighting with Automated Tracking System Using Arduino
Kiran M. Nerli
Department of ECE
Hirasugar institue of Technology
Nidasoshi, India
nerlikiru@gmail.com
Aishwarya B. Chougala
Department of ECE
Hirasugar institue of Technology
Nidasoshi, India
aishwaryachougala046@gmail.com
Rahul J. Teradal
Department of ECE
Jain College of Engineering and Research
Belagavi, India
rahulteradal45@gmail.com
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The need for more energy-efficient and sustainable urban lighting solutions calls for the development of smart solar-powered street lighting systems. Generally, conventional solar streetlights suffer from low efficiency in energy utilization because the lighting source is of fixed orientation, leading to decreased power generation. The proposed system is a Smart Solar-Powered Street Lighting System with Automated Tracking Mechanism for Arduino, aiming at maximizing solar energy absorption and thus improving energy efficiency.The system uses Light Dependent Resistors (LDRs) for detecting sunlight intensity, and solar panel angle adjustment is done using servo motors. A dual-axis tracking system keeps the panel perpendicular to the sun's rays throughout the day, thus maximizing power generation compared to fixed panels. The Arduino microcontroller processes real-time data from sensors for precise control of panel movement and also adjusts the functioning of LED street lights according to the intensity of ambient light.Experimental results show a 25-40% increase in energy absorption of the tracking system compared to stationary panels, which can now achieve prolonged lighting hours and less battery dependence. It runs automatically, therefore lowering associated maintenance costs, as it offers a cost-effective and scalable system for urban and rural street lighting.This research contributes to sustainable urban infrastructure by integrating automated solar tracking with smart lighting control. Future developments could explore AI-based optimization algorithms for enhanced tracking precision and wireless monitoring systems for real-time performance analysis. The proposed system serves as a viable alternative to conventional street lighting, promoting renewable energy adoption and reducing carbon footprints.
Key Words: Smart Solar Street Lighting, Automated Solar Tracking, Arduino-Based System, Energy Efficiency, Renewable Energy.
