Review

Ultraviolet Fluorescence as Assessment Tool for Photovoltaic Modules

verfasst von

Marc Köntges, Arnaud Morlier, Gabriele Eder, Eckhard Fleis, Bernhard Kubicek, Jay Lin

Abstract

Since 2010, the ultraviolet fluorescence (UVF) method is used to identify defects in wafer-based crystalline silicon photovoltaic (PV) modules. We summarize all known applications of fluorescence imaging methods on PV modules to identify defects and characteristics. The aim of this review is to present the basic principles for the interpretation of UVF images. The method allows for detection of cell cracks in a chronological order of occurrence, visualizing hot parts in a PV module, and identifying deviating bill of materials of PV modules. The effects of various material combinations on the UVF are reproduced in the lab and explained for the first time. Seasonal effects on the UVF are presented for the first time. In addition, some not yet understood features in the images are shown and discussed. Furthermore, the application of UVF imaging for manual, hood-based, and drone-based inspection is presented. The analysis speed of the three methods has been measured under real conditions. For the manual inspection, we found an evaluation speed of 250 modules/h, for a hood-based system 200 modules/h and the drone-based method allows an imaging speed of up to 720 modules/h.

Externe Organisation(en)

Institut für Solarenergieforschung GmbH (ISFH)
Österreichisches Forschungsinstitut für Chemie und Technik (OFI)
Ingenieurbüro Fleiß
AIT Austrian Institute of Technology GmbH
PV Guider

Typ

Übersichtsarbeit

Journal

IEEE journal of photovoltaics

Band

10

Seiten

616-633

Anzahl der Seiten

18

ISSN

2156-3381

Publikationsdatum

19.02.2020

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektronische, optische und magnetische Materialien, Physik der kondensierten Materie, Elektrotechnik und Elektronik

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1109/JPHOTOV.2019.2961781 (Zugang: Offen)