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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Main Authors: Amor Hamied, Adel Mellit, Mohamed Benghanem, Sahbi Boubaker
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
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.
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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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