Muhammad Fahmi Hakim, Rahman Azis Prasojo, Rohmanita Duanaputri, Mohammad Noor Hidayat, Priya Surya Harijanto, Binar Surya Gumilang, M. Fathur Rahman Alfarisi, Sandi Permadi, Dava Restu Zachary, Ferdinan Andre Pratama
Photovoltaic (PV) performance in tropical regions is highly influenced by solar irradiance, temperature, humidity, and wind speed. Traditional monitoring methods are often inefficient due to reliance on manual observation and multiple devices. This study developed a low-cost, IoT-based monitoring system that integrates weather and PV output parameters into a mobile-accessible platform using the Blynk application. The system included two subsystems: a weather station and a PV power meter, equipped with sensors for irradiance, temperature (ambient and surface), humidity, wind speed, voltage, and current. Data were recorded every 15 seconds and validated against standard instruments. System performance was analyzed using temperature-corrected Performance Ratio (PR). Validation results showed all sensors met acceptable accuracy levels. The daily PR ranged from 35% to 52%, with corrected values (PRtc) reaching up to 56%, demonstrating the importance of accounting for temperature effects. This system provided reliable, real-time monitoring of PV systems and environmental conditions. Its mobile integration supports data-driven maintenance and performance analysis, offering a scalable solution for optimizing PV operations in tropical climates. The study contributes to the advancement of IoT applications in renewable energy monitoring and lays the foundation for future enhancements in automated diagnostics. © 2025 IEEE.
Electrical Engineering Department, Politeknik Negeri Malang, Malang, Indonesia; Electrical Engineering Departement, PT Orangiro Makmur Jaya, Malang, Indonesia