A Cutting-Edge Implementation of IoT-Based Monitoring for Floating Solar Cells with Dual-Axis Tracker

Solar power has emerged as a significant and vital renewable energy sector, finding diverse applications such as in commercial settings, solar heaters, and solar pumps. Its adoption has contributed to mitigating the shortage of integrated grid electricity. However, the key challenge remains in optimizing energy extraction from solar sources. A promising solution lies in the utilization of Dual Axis tracker-based solar panels, which facilitate efficient solar energy utilization. Presently, conventional solar power plants necessitate vast land areas and exhibit certain limitations. Considering the context of overpopulated countries like Bangladesh, floating solar power plants offer a more viable alternative to land-based counterparts. This paper delves into the investigation and implementation of Floating Solar Cells (FPV) equipped with dual-axis tracker technology to maximize solar energy capture. The dual-axis tracking capability allows for precise sun tracking, resulting in a significantly higher energy yield. To analyze the photovoltaic (PV) and current-voltage (IV) curves, a MATLAB Simulink model is employed, while meteorological data is collected using Homer Software. The research focuses on the implementation of the project at the Teesta Barrage in Lalmonir Hat Zila. Additionally, an Internet of Things (IoT) integration enables remote plant monitoring and real-time data acquisition. Our investigation concludes that dual-axis trackers represent the optimal solution for maximizing energy harvesting from available resources, and the adoption of Floating Solar Power Plants stands as an efficient means of sustainable energy generation, particularly in densely populated nations like Bangladesh.