IoT-Based Low-Cost Photovoltaic Monitoring for a Greenhouse Farm in an Arid Region

Amor Hamied, Adel Mellit, Mohamed Benghanem () and Sahbi Boubaker
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Amor Hamied: Renewable Energy Laboratory, Faculty of Sciences and Technology, Departement of Electronics, University of Jijel, Jijel 18000, Algeria
Adel Mellit: Renewable Energy Laboratory, Faculty of Sciences and Technology, Departement of Electronics, University of Jijel, Jijel 18000, Algeria
Mohamed Benghanem: Department of Physics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi Arabia
Sahbi Boubaker: Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia

Energies, 2023, vol. 16, issue 9, 1-21

Abstract: 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.

Keywords: photovoltaic; monitoring system; fault diagnosis; internet of things (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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