The efficiency, implementation, and design of automatic sun tracking systems—including single-axis and dual-axis trackers—are investigated in this paper. It highlights the advantages and disadvantages of sensor-based, time-based, and hybrid tracking techniques. When compared to static panels, sun tracking systems increase energy output by 20% to 40%. Adaptive tracking may be improved by future developments combining AI, IoT, and machine learning. The study emphasizes the necessity of effective, economical, and environmentally friendly solar tracking. Solar energy harvesting is maximized by properly orienting panels. Using renewable energy requires efficient tracking methods.
📖 افتح في inklap 🔗 DOI 📮 اطلب بحثاً