Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study

Fabian Alonso Lara Vargas; Jimena De La Ossa Rivera; Santiago Jaramillo Mira; Carlos Vargas Salgado; Jesus Aguila Leon; Evelyn Villabon Lopez

doi:10.1109/ColCACI63187.2024.10666546

Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study

Fabian Alonso Lara Vargas, Jimena De La Ossa Rivera, Santiago Jaramillo Mira, Carlos Vargas Salgado, Jesus Aguila Leon, Evelyn Villabon Lopez

Universidad Pontificia Bolivariana

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

Resumen

This paper presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic (PV) power plants in response to the need for sustainable solutions. Real-time monitoring was achieved by utilizing Raspberry Pi Pico W and affordable sensors. The validation, conducted in Monteria, Colombia, demonstrated high accuracy: correlations (Panel Temperature: 0.94, Solar Radiation: 0.98, Inverter Temperature: 0.84, Ambient Temperature: 0.98, and Humidity: 0.8) and low REMC (Panel Temperature: 1.09°C, Solar Radiation: 6.12 W/m², Inverter Temperature: 2.71°C, Ambient Temperature: 0.83°C, and Humidity: 6.81%) compared to commercial measurement equipment. These results underscore the system's ability to optimize the performance of solar installations, thereby promoting a more sustainable energy transition.

Idioma original	Inglés
Título de la publicación alojada	2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings
Editores	Alvaro David Orjuela-Canon
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	1-6
Número de páginas	6
ISBN (versión digital)	9798331516901
DOI	https://doi.org/10.1109/ColCACI63187.2024.10666546
Estado	Publicada - 18 jul. 2024
Evento	2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Pamplona, Colombia Duración: 17 jul. 2024 → 19 jul. 2024

Serie de la publicación

Nombre	2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings

Conferencia

Conferencia	2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024
País/Territorio	Colombia
Ciudad	Pamplona
Período	17/07/24 → 19/07/24

Nota bibliográfica

Publisher Copyright:
© 2024 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ColCACI63187.2024.10666546

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Lara Vargas, F. A., De La Ossa Rivera, J., Mira, S. J., Vargas Salgado, C., Leon, J. A., & Villabon Lopez, E. (2024). Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study. En A. D. Orjuela-Canon (Ed.), 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings (pp. 1-6). (2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ColCACI63187.2024.10666546

Lara Vargas, Fabian Alonso ; De La Ossa Rivera, Jimena ; Mira, Santiago Jaramillo et al. / Real-Time Monitoring of Solar Photovoltaic Power Plants : A Concentrated Validation Study. 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings. editor / Alvaro David Orjuela-Canon. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 1-6 (2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings).

@inproceedings{f668fa3c672a4e359d8f12f820569e9d,

title = "Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study",

abstract = "This paper presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic (PV) power plants in response to the need for sustainable solutions. Real-time monitoring was achieved by utilizing Raspberry Pi Pico W and affordable sensors. The validation, conducted in Monteria, Colombia, demonstrated high accuracy: correlations (Panel Temperature: 0.94, Solar Radiation: 0.98, Inverter Temperature: 0.84, Ambient Temperature: 0.98, and Humidity: 0.8) and low REMC (Panel Temperature: 1.09°C, Solar Radiation: 6.12 W/m2, Inverter Temperature: 2.71°C, Ambient Temperature: 0.83°C, and Humidity: 6.81\%) compared to commercial measurement equipment. These results underscore the system's ability to optimize the performance of solar installations, thereby promoting a more sustainable energy transition.",

keywords = "energy, environment, IoT, monitoring, photovoltaic, renewable energy, solar energy",

author = "\{Lara Vargas\}, \{Fabian Alonso\} and \{De La Ossa Rivera\}, Jimena and Mira, \{Santiago Jaramillo\} and \{Vargas Salgado\}, Carlos and Leon, \{Jesus Aguila\} and \{Villabon Lopez\}, Evelyn",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lara Vargas, FA, De La Ossa Rivera, J, Mira, SJ, Vargas Salgado, C, Leon, JA & Villabon Lopez, E 2024, Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study. En AD Orjuela-Canon (ed.), 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings. 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024, Pamplona, Colombia, 17/07/24. https://doi.org/10.1109/ColCACI63187.2024.10666546

Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study. / Lara Vargas, Fabian Alonso; De La Ossa Rivera, Jimena; Mira, Santiago Jaramillo et al.
2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings. ed. / Alvaro David Orjuela-Canon. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1-6 (2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Real-Time Monitoring of Solar Photovoltaic Power Plants

T2 - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024

AU - Lara Vargas, Fabian Alonso

AU - De La Ossa Rivera, Jimena

AU - Mira, Santiago Jaramillo

AU - Vargas Salgado, Carlos

AU - Leon, Jesus Aguila

AU - Villabon Lopez, Evelyn

PY - 2024/7/18

Y1 - 2024/7/18

N2 - This paper presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic (PV) power plants in response to the need for sustainable solutions. Real-time monitoring was achieved by utilizing Raspberry Pi Pico W and affordable sensors. The validation, conducted in Monteria, Colombia, demonstrated high accuracy: correlations (Panel Temperature: 0.94, Solar Radiation: 0.98, Inverter Temperature: 0.84, Ambient Temperature: 0.98, and Humidity: 0.8) and low REMC (Panel Temperature: 1.09°C, Solar Radiation: 6.12 W/m2, Inverter Temperature: 2.71°C, Ambient Temperature: 0.83°C, and Humidity: 6.81%) compared to commercial measurement equipment. These results underscore the system's ability to optimize the performance of solar installations, thereby promoting a more sustainable energy transition.

AB - This paper presents a low-cost Internet of Things (IoT) monitoring system for rooftop solar photovoltaic (PV) power plants in response to the need for sustainable solutions. Real-time monitoring was achieved by utilizing Raspberry Pi Pico W and affordable sensors. The validation, conducted in Monteria, Colombia, demonstrated high accuracy: correlations (Panel Temperature: 0.94, Solar Radiation: 0.98, Inverter Temperature: 0.84, Ambient Temperature: 0.98, and Humidity: 0.8) and low REMC (Panel Temperature: 1.09°C, Solar Radiation: 6.12 W/m2, Inverter Temperature: 2.71°C, Ambient Temperature: 0.83°C, and Humidity: 6.81%) compared to commercial measurement equipment. These results underscore the system's ability to optimize the performance of solar installations, thereby promoting a more sustainable energy transition.

KW - energy

KW - environment

KW - IoT

KW - monitoring

KW - photovoltaic

KW - renewable energy

KW - solar energy

UR - https://www.scopus.com/pages/publications/85204940145

U2 - 10.1109/ColCACI63187.2024.10666546

DO - 10.1109/ColCACI63187.2024.10666546

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85204940145

T3 - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings

SP - 1

EP - 6

BT - 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings

A2 - Orjuela-Canon, Alvaro David

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 July 2024 through 19 July 2024

ER -

Lara Vargas FA, De La Ossa Rivera J, Mira SJ, Vargas Salgado C, Leon JA, Villabon Lopez E. Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study. En Orjuela-Canon AD, editor, 2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. p. 1-6. (2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings). doi: 10.1109/ColCACI63187.2024.10666546

Real-Time Monitoring of Solar Photovoltaic Power Plants: A Concentrated Validation Study

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