Implementation of Monitoring and Cooling System to Improve Solar Power Plant Efficiency Based IoT
DOI:
https://doi.org/10.47709/brilliance.v6i4.9809Keywords:
Control, solar power plant, internet of things, monitoring, efficiencyAbstract
Solar power plants are one of the renewable energy solutions with great potential for development in tropical regions. The efficiency of solar panels decreases as surface temperature of modules increases, resulting in suboptimal performance of the solar power plant and affecting amount of electricity generated. The study aims to design a real-time, automated Internet of Things based solar panel monitoring and cooling system to maintain a constant level of electrical energy. The system measures panel temperature, light intensity, voltage, current, input power, output power, efficiency, and the status of cooling pump; the data is then analyzed across five tests based on average value of each parameter. The data is used as a reference to control the cooling system’s operation if temperature parameter reaches maximum limit of 38°C. The results show that panel temperatures recorded by the system ranged from approximately 31°C to 38.64 °C, with a maximum light intensity of 24,040 lux. The first test recorded highest average temperature 38.64 °C an average light intensity of 7,363 lux and an average output power of 6.64 W. Under these conditions, cooling system operated optimally and achieved an average efficiency of 77.18%. In the second through fifth tests, panel temperature decreased, with an average value ranging from 34.59 °C to 31.97 °C, and light intensity was approximately 700–900 lux, indicating that the cooling system was operating normally. These conditions affected average efficiency, with the highest average value recorded in second test at 82.64% and lowest in the fourth test at 69.56%.
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Copyright (c) 2026 Teuku Multazam, Andik Bintoro, Ilham Sahputra, Imam Syahputra Nasution, Dimas Ananda Putra
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