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2020 | OriginalPaper | Buchkapitel

Detecting Hot Spots in Photovoltaic Panels Using Low-Cost Thermal Cameras

verfasst von : Miguel Dávila-Sacoto, Luis Hernández-Callejo, Víctor Alonso-Gómez, Sara Gallardo-Saavedra, Luis G. González

Erschienen in: Smart Cities

Verlag: Springer International Publishing

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Abstract

One of the most important challenges to mitigate global climate change is to move towards replacing petroleum-based energy sources. In this idea, non-conventional renewable energy sources such as photovoltaic (PV) solar and wind power are the most used worldwide. In the case of the massification of PV solar generation systems due to its low cost, it has resulted in the use of large-scale supervision techniques that allow a quick and effective determination of the health status of its main components. This study, performs an analysis of the performance of different low-cost cameras for thermography. The analysis compares the accuracy of the thermal images obtained and the error is quantified by means of an image dispersion analysis in each of them. Three-dimensional meshes and contours figures are also made to determine the temperature of a faulty cell. The study shows that the performance obtained with low-cost cameras presents errors below 10% in costs and less than 0.015 USD/pixel.

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Titel: Detecting Hot Spots in Photovoltaic Panels Using Low-Cost Thermal Cameras
verfasst von: Miguel Dávila-Sacoto
Luis Hernández-Callejo
Víctor Alonso-Gómez
Sara Gallardo-Saavedra
Luis G. González
Verlag: Springer International Publishing
Buch: Smart Cities
Print ISBN: 978-3-030-38888-1

Electronic ISBN: 978-3-030-38889-8

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-38889-8_4

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