INNOVATIVE APPROACHES TO DUAL AXIS SOLAR TRACKING SYSTEMS

This review discusses the latest design approaches to dual-axis solar trackers by underlining their role in the development of solar energy efficiency and sustainability. Major areas of innovations reviewed include new design proposals, choice of materials, control systems, incorporation of Artificial Intelligence, Internet of Things (IoT), and Machine Learning (ML) in optimizing energy production. A comparison of traditional and modern dual axis tracking systems is made, focusing on how these systems are improved to increase energy yield, improve environmental adaptability, and enhance the durability of the systems. Challenges include increased complexity and cost of modern systems, while future trends will be discussed for predictive analytics, energy storage integration, and smart grid connectivity. With these developments in the background, this review assesses the prospects of dual-axis solar tracking systems as a cornerstone for sustainable energy solutions.