TY - GEN
T1 - Detecting Hot Spots in Photovoltaic Panels Using Low-Cost Thermal Cameras
AU - Dávila-Sacoto, Miguel
AU - Hernández-Callejo, Luis
AU - Alonso-Gómez, Víctor
AU - Gallardo-Saavedra, Sara
AU - González, Luis G.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Image processing
KW - Low cost
KW - PV panel
KW - Thermal camera
KW - Thermography
UR - https://www.scopus.com/pages/publications/85078421534
U2 - 10.1007/978-3-030-38889-8_4
DO - 10.1007/978-3-030-38889-8_4
M3 - Contribución a la conferencia
AN - SCOPUS:85078421534
SN - 9783030388881
T3 - Communications in Computer and Information Science
SP - 38
EP - 53
BT - Smart Cities - 2nd Ibero-American Congress, ICSC-CITIES 2019, Revised Selected Papers
A2 - Nesmachnow, Sergio
A2 - Hernández Callejo, Luis
PB - Springer
T2 - 2nd Ibero-American Congress of Smart Cities, ICSC-CITIES 2019
Y2 - 7 October 2019 through 9 October 2019
ER -