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

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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Bibliographic Details
Published in:Energies (Basel) Vol. 16; no. 9; p. 3860
Main Authors: Hamied, Amor, Mellit, Adel, Benghanem, Mohamed, Boubaker, Sahbi
Format: Journal Article
Language:English
Published: Basel MDPI AG 30-04-2023
Subjects:
Algorithms
Alternative energy sources
Arid zones
Climatic conditions
Design
Economic aspects
Electricity
Electricity distribution
Energy resources
Farm buildings
Fault diagnosis
Greenhouses
Humidity
Internet of Things
Irradiance
Low cost
monitoring system
Monitoring systems
photovoltaic
Photovoltaic cells
Photovoltaics
Remote monitoring
Sensors
Software
Solar energy industry
Websites
Wireless access points
Algeria
Sub-Saharan Africa
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16093860