Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation
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 t...
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| Language: | English |
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Elsevier
2025-06-01
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| Series: | Scientific African |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227625002327 |
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| author | Njimboh Henry Alombah Jerome Ndam Mungwe Ambe Harrison Wulfran Fendzi Mbasso Hilaire Bertrand Fotsin |
| author_facet | Njimboh Henry Alombah Jerome Ndam Mungwe Ambe Harrison Wulfran Fendzi Mbasso Hilaire Bertrand Fotsin |
| author_sort | Njimboh Henry Alombah |
| collection | DOAJ |
| description | 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 min 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 30 W. 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.. |
| format | Article |
| id | doaj-art-3e8dde36325b4b41b120ed9abc5e0ec9 |
| institution | DOAJ |
| issn | 2468-2276 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Scientific African |
| spelling | doaj-art-3e8dde36325b4b41b120ed9abc5e0ec92025-08-20T03:22:34ZengElsevierScientific African2468-22762025-06-0128e0276310.1016/j.sciaf.2025.e02763Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validationNjimboh Henry Alombah0Jerome Ndam Mungwe1Ambe Harrison2Wulfran Fendzi Mbasso3Hilaire Bertrand Fotsin4Department of Electrical and Electronics Engineering, College of Technology, University of Bamenda, P.O. Box 39, Bambili, Cameroon; Corresponding author.Department of Renewable Energy, Higher Technical Teacher Training College, HTTTC, The University of Bamenda, Bambili, CameroonDepartment of Electrical and Electronics Engineering, College of Technology (COT), University of Buea, P.O. Box Buea 63, Cameroon; Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602 105, IndiaTechnology and Applied Sciences Laboratory, U.I.T. of Douala, P.O. Box 8689 Douala, University of Douala, Cameroon; Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602 105, IndiaUnit of Condensed Matter Research, Electronics and Signal Processing, LAMACET, Faculty of Science, Department of Physics, University of Dschang, P.O. Box 67, Dschang, CameroonThis 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 min 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 30 W. 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..http://www.sciencedirect.com/science/article/pii/S2468227625002327Smart PV monitoring systemIoT-based PV system monitoringReal-time PV data collectionPV system parametersCost-efficient PV monitoringRemote PV monitoring |
| spellingShingle | Njimboh Henry Alombah Jerome Ndam Mungwe Ambe Harrison Wulfran Fendzi Mbasso Hilaire Bertrand Fotsin Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation Scientific African Smart PV monitoring system IoT-based PV system monitoring Real-time PV data collection PV system parameters Cost-efficient PV monitoring Remote PV monitoring |
| title | Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation |
| title_full | Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation |
| title_fullStr | Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation |
| title_full_unstemmed | Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation |
| title_short | Advanced IoT-based monitoring system for real-time photovoltaic performance evaluation: Conception, development and experimental validation |
| title_sort | advanced iot based monitoring system for real time photovoltaic performance evaluation conception development and experimental validation |
| topic | Smart PV monitoring system IoT-based PV system monitoring Real-time PV data collection PV system parameters Cost-efficient PV monitoring Remote PV monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S2468227625002327 |
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