Development of a smart cloud-based monitoring system for solar photovoltaic energy generation
The main controllers overseeing both solar panels and loads have all panels connected with sensors. The radiation striking the solar cell determines the power produced and real-time monitoring is crucial to evaluating the performance of a solar photovoltaic system. The emerging Internet of Things pr...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-04-01
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| Series: | Unconventional Resources |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666519025000391 |
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| author | Challa Krishna Rao Sarat Kumar Sahoo Franco Fernando Yanine |
| author_facet | Challa Krishna Rao Sarat Kumar Sahoo Franco Fernando Yanine |
| author_sort | Challa Krishna Rao |
| collection | DOAJ |
| description | The main controllers overseeing both solar panels and loads have all panels connected with sensors. The radiation striking the solar cell determines the power produced and real-time monitoring is crucial to evaluating the performance of a solar photovoltaic system. The emerging Internet of Things provides an opportunity to significantly enhance the monitoring of solar energy output and plant operations. To achieve this, a remote monitoring system is necessary, utilizing the Internet of Things to gather and transmit data. This study aims to utilize the Internet of the Things to monitor solar photovoltaic systems and assess their effectiveness. The monitoring system includes components such as a data gateway, data collection, and presentation for a cloud application. The collected data were stored in the cloud, enabling a visual representation of the sensed parameters. The system achieved a better accuracy rate, with an average transmission time of 53.01 s. The results indicate that the recommended monitoring system allowed users to observe current, voltage, and daylight, which could serve as a viable substitute for smart monitoring of solar energy output and plant operations. |
| format | Article |
| id | doaj-art-f454bcf865254d24b8fa025919f5e0dd |
| institution | OA Journals |
| issn | 2666-5190 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Unconventional Resources |
| spelling | doaj-art-f454bcf865254d24b8fa025919f5e0dd2025-08-20T02:26:09ZengKeAi Communications Co., Ltd.Unconventional Resources2666-51902025-04-01610017310.1016/j.uncres.2025.100173Development of a smart cloud-based monitoring system for solar photovoltaic energy generationChalla Krishna Rao0Sarat Kumar Sahoo1Franco Fernando Yanine2Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India; Parala Maharaja Engineering College, Berhampur, India; affiliated to Biju Patnaik University of Technology, Rourkela, Odisha, India; Corresponding author. Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, IndiaParala Maharaja Engineering College, Berhampur, India; affiliated to Biju Patnaik University of Technology, Rourkela, Odisha, IndiaFaculty of Engineering, Universidad Finis Terrae, Providencia, Santiago, ChileThe main controllers overseeing both solar panels and loads have all panels connected with sensors. The radiation striking the solar cell determines the power produced and real-time monitoring is crucial to evaluating the performance of a solar photovoltaic system. The emerging Internet of Things provides an opportunity to significantly enhance the monitoring of solar energy output and plant operations. To achieve this, a remote monitoring system is necessary, utilizing the Internet of Things to gather and transmit data. This study aims to utilize the Internet of the Things to monitor solar photovoltaic systems and assess their effectiveness. The monitoring system includes components such as a data gateway, data collection, and presentation for a cloud application. The collected data were stored in the cloud, enabling a visual representation of the sensed parameters. The system achieved a better accuracy rate, with an average transmission time of 53.01 s. The results indicate that the recommended monitoring system allowed users to observe current, voltage, and daylight, which could serve as a viable substitute for smart monitoring of solar energy output and plant operations.http://www.sciencedirect.com/science/article/pii/S2666519025000391PVIoTOnline monitoringSmart energy monitoring systemCloud computingSensor |
| spellingShingle | Challa Krishna Rao Sarat Kumar Sahoo Franco Fernando Yanine Development of a smart cloud-based monitoring system for solar photovoltaic energy generation Unconventional Resources PV IoT Online monitoring Smart energy monitoring system Cloud computing Sensor |
| title | Development of a smart cloud-based monitoring system for solar photovoltaic energy generation |
| title_full | Development of a smart cloud-based monitoring system for solar photovoltaic energy generation |
| title_fullStr | Development of a smart cloud-based monitoring system for solar photovoltaic energy generation |
| title_full_unstemmed | Development of a smart cloud-based monitoring system for solar photovoltaic energy generation |
| title_short | Development of a smart cloud-based monitoring system for solar photovoltaic energy generation |
| title_sort | development of a smart cloud based monitoring system for solar photovoltaic energy generation |
| topic | PV IoT Online monitoring Smart energy monitoring system Cloud computing Sensor |
| url | http://www.sciencedirect.com/science/article/pii/S2666519025000391 |
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