article · Scientific African
This study developed an advanced Internet of Things (IoT)-based monitoring system for real-time evaluation of solar photovoltaic (PV) system performance. The novel device measures six critical operating variables, including irradiance, temperatures, humidity, current, and voltage, with high data resolution. It can perform statistical operations on collected data, enabling real-time condition monitoring for PV plants up to 90 kW. Equipped with weather-resistant sensors, the system allows for remote monitoring and data collection from any location. Experimental validation on a 30W prototype PV system in Dschang, Cameroon, over two climatic seasons, demonstrated its reliability and cost-efficiency. The system also features an intuitive desktop application for graphical representation of monitored parameters.
This technology offers a reliable and cost-effective way to monitor solar power systems in real time. By providing accurate data on performance and environmental conditions, it can help optimise energy generation, identify issues quickly, and improve the overall efficiency and longevity of solar installations, particularly in regions where such information is currently expensive or unreliable.
This IoT-based monitoring system is designed for practical application in managing solar photovoltaic installations. It could be used by PV plant operators, energy companies, and organisations deploying solar energy solutions, especially in developing nations like Cameroon where reliable data is scarce. Having been tested on a prototype and demonstrated reliability and cost-efficiency, it appears to be an applied and tested solution nearing practical deployment for improving PV system management.
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This study examines a developed "Advanced IoT-Based Monitoring System for real time photovoltaic performance evaluation” which is an intelligent Internet of Things (IoT)-based device used for monitoring solar photovoltaic (PV) systems. The novel instrument with a data resolution of less than 1 minute is designed to measure six important operating variables of PV systems: irradiance, panel temperature, ambient temperature, humidity, PV current, and voltage. The device has the capability to execute statistical operations on the sample data, enabling real-time monitoring of the PV plant's condition. The device exhibits a high level of adaptability in order to monitor PV plants with a maximum rating of up to 90 kW. The device is equipped with weather-resistant sensors, enabling efficient operation in various weather conditions throughout the year. Moreover, the Internet of Things (IoT) functionality allows for the remote monitoring and data collection of a PV system from any location on the globe. The device has undergone testing on a prototype PV system with a power rating of 30W. The testing took place in Dschang, a location situated in the Western Region of Cameroon. Data was collected over two climatic seasons and the device's various capabilities were presented. One of its notable features is its intuitive user interface, which allows for real-time graphical representation of monitored parameters through a desktop application. This newly developed device is anticipated to function as a comprehensive solution for collecting data from photovoltaic system installations in developing nations, specifically targeting Cameroon. In Cameroon, information regarding PV systems is currently excessively costly and unreliable. The comprehensive findings from a week-long uninterrupted assessment of the PV monitoring device and its applications in harsh environmental conditions demonstrate its reliability and cost-efficiency as a solution for PV system monitoring..
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DOI: 10.1016/j.sciaf.2025.e02763
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