Scalable Data Acquisition System for Real-Time Monitoring of Photovoltaic Plants

The lack of scalable and economically viable photovoltaic (PV) monitoring systems, especially in remote locations or areas with limited infrastructure, hampers performance monitoring and the implementation of preventive maintenance strategies. To address this issue, this research proposes a real-time PV monitoring system using ESP32 microcontrollers equipped with Long-Range (LoRa) modules and precision sensors for the collection and transmission of environmental and operational data. The monitored variables include PV module and ambient temperature, solar irradiance, relative humidity, and wind speed. The system is capable of transmitting data over long distances, storing it in a Internet of Things (IoT) platform, enabling real-time monitoring and analysis. The proposed solution facilitates anomaly detection and maintenance optimization, offering a robust and cost-effective approach, ideal for applications in remote areas or locations with limited infrastructure. Additionally, the stored data enables detailed studies of PV performance combining operational and environmental information.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3609654
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Scalable Data Acquisition System for Real-Time Monitoring of Photovoltaic Plants

Renata Imaculada Soares Pereira, Paulo César Marques de Carvalho, Dionízio Porfírio de Assis, José Janiere Silva de Souza et al.
1 citations
IEEE Access
Power Systems and Renewable Energy
0.53
article

Scalable Data Acquisition System for Real-Time Monitoring of Photovoltaic Plants

Renata Imaculada Soares Pereira, Paulo César Marques de Carvalho, Dionízio Porfírio de Assis, José Janiere Silva de Souza, Letícia de Oliveira Santos
article en
1 citations

Abstract

The lack of scalable and economically viable photovoltaic (PV) monitoring systems, especially in remote locations or areas with limited infrastructure, hampers performance monitoring and the implementation of preventive maintenance strategies. To address this issue, this research proposes a real-time PV monitoring system using ESP32 microcontrollers equipped with Long-Range (LoRa) modules and precision sensors for the collection and transmission of environmental and operational data. The monitored variables include PV module and ambient temperature, solar irradiance, relative humidity, and wind speed. The system is capable of transmitting data over long distances, storing it in a Internet of Things (IoT) platform, enabling real-time monitoring and analysis. The proposed solution facilitates anomaly detection and maintenance optimization, offering a robust and cost-effective approach, ideal for applications in remote areas or locations with limited infrastructure. Additionally, the stored data enables detailed studies of PV performance combining operational and environmental information.

IEEE AccessVol. 13
Universidade Federal do Ceará (BR), Instituto Federal de Educação, Ciência e Tecnologia do Ceará (BR), Instituto Federal de Educação, Ciência e Tecnologia de Alagoas (BR), Universidade Federal de Alagoas (BR)
Openalex Percentile: Top 27%
Power Systems and Renewable Energy
0.53
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Scalable Data Acquisition System for Real-Time Monitoring of Photovoltaic Plants — Renata Imaculada Soares Pereira, Paulo César Marques de Carvalho, et al. · IEEE Access (2025) | TGRS Research Map | TGRS