RT info:eu-repo/semantics/conferenceObject
T1 Automatic Quantitative Analysis of Silicon Solar Panels Based on Statistical Parameters from Electro- and Photoluminescence Images [Poster]
T2 European Photovoltaic Solar Energy Conference and Exhibition
A1 Guada, Miguel
A1 Pena, S.
A1 Martínez Sacristán, Óscar
A1 González Rebollo, Miguel Ángel
A1 Jiménez López, Juan Ignacio
A1 Pérez, L.
K1 Fotoluminiscencia
K1 Photoluminescence
AB There are many characterization techniques available to evaluate the health of solar panels, such as I-V characterization, infrared thermography (IR), photoluminescence (PL) and electroluminescence (EL). EL imaging has become in recent years a powerful diagnostic tool to evaluate PV modules. EL images allow to detect several defects and degradation modes in the solar cells. The failures are observed as dark contrasted areas in the images. Broad dark regions can be detected even in a low resolution image, while a high resolution image is needed to detect some more specific problems such as cracks, multi-cracks or other line-shaped defects.
PB WIP Renewable Energies
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/35186
UL http://uvadoc.uva.es/handle/10324/35186
LA eng
NO 35th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2018), 24 - 28 September 2018, Brussels, Belgium
DS UVaDOC
RD 23-nov-2024