IoT System for Thermographic Data Acquisition of Photovoltaic Installations

Leonardo Cardinale-Villalobos; Luis Antonio Solís-García; Luis Alonso Araya-Solano

doi:10.1007/978-3-031-28454-0_8

IoT System for Thermographic Data Acquisition of Photovoltaic Installations

Costa Rica Institute of Technology

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Infrared thermography (IRT) has been widely used to diagnose photovoltaic installations, however, its effectiveness needs to be improved to contribute to greater energy efficiency in Smart Cities. This research shows a solution that creates a database (DB) of IRT information, through an IoT solution that allows the process to be automated and accessed remotely. The functionality and accuracy of the system was validated in a real PV plant through an experiment inducing conditions that generate hot spots obtaining a temperature measurement error of less than 4 ^∘ C. During the investigation, 1.777 thermograms were generated and the ability to detect hot spots due to soiling, partial shading and short circuits in the module was verified. The DB generated by this solution will be used to establish better fault detection criteria for IRT, which is of high interest to thermographers and will benefit the users of distributed PV installations in Smart Cities around the world.

Idioma original	Inglés
Título de la publicación alojada	Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers
Editores	Sergio Nesmachnow, Luis Hernández Callejo
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	110-122
Número de páginas	13
ISBN (versión impresa)	9783031284533
DOI	https://doi.org/10.1007/978-3-031-28454-0_8
Estado	Publicada - 2023
Evento	5th Ibero-American Congress on Smart Cities, ICSC-Cities 2022 - Cuenca, Ecuador Duración: 28 nov 2022 → 30 nov 2022

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1706 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	5th Ibero-American Congress on Smart Cities, ICSC-Cities 2022
País/Territorio	Ecuador
Ciudad	Cuenca
Período	28/11/22 → 30/11/22

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante
ODS 11: Ciudades y comunidades sostenibles

Acceder al documento

10.1007/978-3-031-28454-0_8

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Cardinale-Villalobos, L., Solís-García, L. A., & Araya-Solano, L. A. (2023). IoT System for Thermographic Data Acquisition of Photovoltaic Installations. En S. Nesmachnow, & L. Hernández Callejo (Eds.), Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers (pp. 110-122). (Communications in Computer and Information Science; Vol. 1706 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28454-0_8

Cardinale-Villalobos, Leonardo ; Solís-García, Luis Antonio ; Araya-Solano, Luis Alonso. / IoT System for Thermographic Data Acquisition of Photovoltaic Installations. Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers. editor / Sergio Nesmachnow ; Luis Hernández Callejo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 110-122 (Communications in Computer and Information Science).

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title = "IoT System for Thermographic Data Acquisition of Photovoltaic Installations",

abstract = "Infrared thermography (IRT) has been widely used to diagnose photovoltaic installations, however, its effectiveness needs to be improved to contribute to greater energy efficiency in Smart Cities. This research shows a solution that creates a database (DB) of IRT information, through an IoT solution that allows the process to be automated and accessed remotely. The functionality and accuracy of the system was validated in a real PV plant through an experiment inducing conditions that generate hot spots obtaining a temperature measurement error of less than 4 ∘ C. During the investigation, 1.777 thermograms were generated and the ability to detect hot spots due to soiling, partial shading and short circuits in the module was verified. The DB generated by this solution will be used to establish better fault detection criteria for IRT, which is of high interest to thermographers and will benefit the users of distributed PV installations in Smart Cities around the world.",

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author = "Leonardo Cardinale-Villalobos and Sol{\'i}s-Garc{\'i}a, \{Luis Antonio\} and Araya-Solano, \{Luis Alonso\}",

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Cardinale-Villalobos, L, Solís-García, LA & Araya-Solano, LA 2023, IoT System for Thermographic Data Acquisition of Photovoltaic Installations. En S Nesmachnow & L Hernández Callejo (eds.), Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers. Communications in Computer and Information Science, vol. 1706 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 110-122, 5th Ibero-American Congress on Smart Cities, ICSC-Cities 2022, Cuenca, Ecuador, 28/11/22. https://doi.org/10.1007/978-3-031-28454-0_8

IoT System for Thermographic Data Acquisition of Photovoltaic Installations. / Cardinale-Villalobos, Leonardo; Solís-García, Luis Antonio; Araya-Solano, Luis Alonso.
Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers. ed. / Sergio Nesmachnow; Luis Hernández Callejo. Springer Science and Business Media Deutschland GmbH, 2023. p. 110-122 (Communications in Computer and Information Science; Vol. 1706 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - IoT System for Thermographic Data Acquisition of Photovoltaic Installations

AU - Cardinale-Villalobos, Leonardo

AU - Solís-García, Luis Antonio

AU - Araya-Solano, Luis Alonso

PY - 2023

Y1 - 2023

N2 - Infrared thermography (IRT) has been widely used to diagnose photovoltaic installations, however, its effectiveness needs to be improved to contribute to greater energy efficiency in Smart Cities. This research shows a solution that creates a database (DB) of IRT information, through an IoT solution that allows the process to be automated and accessed remotely. The functionality and accuracy of the system was validated in a real PV plant through an experiment inducing conditions that generate hot spots obtaining a temperature measurement error of less than 4 ∘ C. During the investigation, 1.777 thermograms were generated and the ability to detect hot spots due to soiling, partial shading and short circuits in the module was verified. The DB generated by this solution will be used to establish better fault detection criteria for IRT, which is of high interest to thermographers and will benefit the users of distributed PV installations in Smart Cities around the world.

AB - Infrared thermography (IRT) has been widely used to diagnose photovoltaic installations, however, its effectiveness needs to be improved to contribute to greater energy efficiency in Smart Cities. This research shows a solution that creates a database (DB) of IRT information, through an IoT solution that allows the process to be automated and accessed remotely. The functionality and accuracy of the system was validated in a real PV plant through an experiment inducing conditions that generate hot spots obtaining a temperature measurement error of less than 4 ∘ C. During the investigation, 1.777 thermograms were generated and the ability to detect hot spots due to soiling, partial shading and short circuits in the module was verified. The DB generated by this solution will be used to establish better fault detection criteria for IRT, which is of high interest to thermographers and will benefit the users of distributed PV installations in Smart Cities around the world.

KW - Image Acquisition Systems

KW - Infrared Thermography

KW - IoT Applications

KW - Photovoltaic

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U2 - 10.1007/978-3-031-28454-0_8

DO - 10.1007/978-3-031-28454-0_8

M3 - Contribución a la conferencia

AN - SCOPUS:85152553535

SN - 9783031284533

T3 - Communications in Computer and Information Science

SP - 110

EP - 122

BT - Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers

A2 - Nesmachnow, Sergio

A2 - Hernández Callejo, Luis

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th Ibero-American Congress on Smart Cities, ICSC-Cities 2022

Y2 - 28 November 2022 through 30 November 2022

ER -

Cardinale-Villalobos L, Solís-García LA, Araya-Solano LA. IoT System for Thermographic Data Acquisition of Photovoltaic Installations. En Nesmachnow S, Hernández Callejo L, editores, Smart Cities - 5th Ibero-American Congress, ICSC-CITIES 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 110-122. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-28454-0_8