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Drone-Based Daylight Electroluminescence Imaging of PV Modules

Authors :
Benatto, Gisele Alves dos Reis
Mantel, Claire
Spataru, Sergiu Viorel
Lancia, Adrian A. Santamaria
Riedel, Nicholas
Thorsteinsson, Sune
Poulsen, Peter Behrensdorff
Parikh, Harsh Rajesh
Forchhammer, Søren
Séra, Dezso
Source :
Benatto, G A D R, Mantel, C, Spataru, S V, Lancia, A A S, Riedel, N, Thorsteinsson, S, Poulsen, P B, Parikh, H R, Forchhammer, S & Séra, D 2020, ' Drone-Based Daylight Electroluminescence Imaging of PV Modules ', I E E E Journal of Photovoltaics, vol. 10, no. 3, 9042865, pp. 872-877 . https://doi.org/10.1109/JPHOTOV.2020.2978068
Publication Year :
2020

Abstract

Electroluminescence (EL) imaging is a photovoltaic (PV) module characterization technique, which provides high accuracy in detecting defects and faults, such as cracks, broken cells interconnections, shunts, among many others; furthermore, the EL technique is used extensively due to a high level of detail and direct relationship to injected carrier density. However, this technique is commonly practiced only indoors - or outdoors from dusk to dawn - because the crystalline silicon luminescence signal is several orders of magnitude lower than sunlight. This limits the potential of such a powerful technique to be used in utility scale inspections, and therefore, the interest in the development of electrical biasing tools to make outdoor EL imaging truly fast and efficient. With the focus of quickly acquiring EL images in daylight, we present in this article a drone-based system capable of acquiring EL images at a frame rate of 120 frames per second. In a single second during high irradiance conditions, this system can capture enough EL and background image pairs to create an EL PV module image that has sufficient diagnostic information to identify faults associated with power loss. The final EL images shown in this work reached representative quality SNR AVG of 4.6, obtained with algorithms developed in previous works. These drone-based EL images were acquired with global horizontal solar irradiance close to one sun in the plane of the array.

Details

Language :
English
Database :
OpenAIRE
Journal :
Benatto, G A D R, Mantel, C, Spataru, S V, Lancia, A A S, Riedel, N, Thorsteinsson, S, Poulsen, P B, Parikh, H R, Forchhammer, S & Séra, D 2020, ' Drone-Based Daylight Electroluminescence Imaging of PV Modules ', I E E E Journal of Photovoltaics, vol. 10, no. 3, 9042865, pp. 872-877 . https://doi.org/10.1109/JPHOTOV.2020.2978068
Accession number :
edsair.dedup.wf.001..80216df65547ba8445582cd1ce4fd001
Full Text :
https://doi.org/10.1109/JPHOTOV.2020.2978068