IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region
In this paper, a low-cost monitoring system for an off-grid photovoltaic (PV) system, installed at an isolated location (Sahara region, south of Algeria), is designed. The PV system is used to supply a small-scale greenhouse farm. A simple and accurate fault diagnosis algorithm was developed and int...
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Format: | Article |
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MDPI AG
2023-04-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/9/3860 |
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author | Amor Hamied Adel Mellit Mohamed Benghanem Sahbi Boubaker |
author_facet | Amor Hamied Adel Mellit Mohamed Benghanem Sahbi Boubaker |
author_sort | Amor Hamied |
collection | DOAJ |
description | In this paper, a low-cost monitoring system for an off-grid photovoltaic (PV) system, installed at an isolated location (Sahara region, south of Algeria), is designed. The PV system is used to supply a small-scale greenhouse farm. A simple and accurate fault diagnosis algorithm was developed and integrated into a low-cost microcontroller for real time validation. The monitoring system, including the fault diagnosis procedure, was evaluated under specific climate conditions. The Internet of Things (IoT) technique is used to remotely monitor the data, such as PV currents, PV voltages, solar irradiance, and cell temperature. A friendly web page was also developed to visualize the data and check the state of the PV system remotely. The users could be notified about the state of the PV system via phone SMS. Results showed that the system performs better under this climate conditions and that it can supply the considered greenhouse farm. It was also shown that the integrated algorithm is able to detect and identify some examined defects with a good accuracy. The total cost of the designed IoT-based monitoring system is around 73 euros and its average energy consumed per day is around 13.5 Wh. |
first_indexed | 2024-03-11T04:19:08Z |
format | Article |
id | doaj.art-573aa2ee8caa478491c1367f99a40ead |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T04:19:08Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-573aa2ee8caa478491c1367f99a40ead2023-11-17T22:52:43ZengMDPI AGEnergies1996-10732023-04-01169386010.3390/en16093860IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid RegionAmor Hamied0Adel Mellit1Mohamed Benghanem2Sahbi Boubaker3Renewable Energy Laboratory, Faculty of Sciences and Technology, Departement of Electronics, University of Jijel, Jijel 18000, AlgeriaRenewable Energy Laboratory, Faculty of Sciences and Technology, Departement of Electronics, University of Jijel, Jijel 18000, AlgeriaDepartment of Physics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi ArabiaDepartment of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi ArabiaIn this paper, a low-cost monitoring system for an off-grid photovoltaic (PV) system, installed at an isolated location (Sahara region, south of Algeria), is designed. The PV system is used to supply a small-scale greenhouse farm. A simple and accurate fault diagnosis algorithm was developed and integrated into a low-cost microcontroller for real time validation. The monitoring system, including the fault diagnosis procedure, was evaluated under specific climate conditions. The Internet of Things (IoT) technique is used to remotely monitor the data, such as PV currents, PV voltages, solar irradiance, and cell temperature. A friendly web page was also developed to visualize the data and check the state of the PV system remotely. The users could be notified about the state of the PV system via phone SMS. Results showed that the system performs better under this climate conditions and that it can supply the considered greenhouse farm. It was also shown that the integrated algorithm is able to detect and identify some examined defects with a good accuracy. The total cost of the designed IoT-based monitoring system is around 73 euros and its average energy consumed per day is around 13.5 Wh.https://www.mdpi.com/1996-1073/16/9/3860photovoltaicmonitoring systemfault diagnosisinternet of things |
spellingShingle | Amor Hamied Adel Mellit Mohamed Benghanem Sahbi Boubaker IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region Energies photovoltaic monitoring system fault diagnosis internet of things |
title | IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region |
title_full | IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region |
title_fullStr | IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region |
title_full_unstemmed | IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region |
title_short | IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region |
title_sort | iot based low cost photovoltaic monitoring for a greenhouse farm in an arid region |
topic | photovoltaic monitoring system fault diagnosis internet of things |
url | https://www.mdpi.com/1996-1073/16/9/3860 |
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