计量学
紫外线
光学
荧光
光伏系统
光电子学
材料科学
计算机科学
遥感
物理
工程类
电气工程
地质学
作者
Dylan J. Colvin,Andrew M. Gabor,William C. Oltjen,Philip J. Knodle,Ange Dominique Yao,Brent A. Thompson,Nadia Khan,Sina Lotfian,Joseph Raby,Albert Jojo,Xuanji Yu,Max Liggett,Hubert Seigneur,Roger H. French,Laura S. Bruckman,Mengjie Li,Kristopher O. Davis
标识
DOI:10.1109/jphotov.2025.3545825
摘要
As the photovoltaics (PV) industry grows in sophistication, so must the extent to which systems are characterized. UV Fluorescence (UVF) imaging is a valuable, easy-to-perform, high-throughput, nonintrusive technique for characterizing modules in the field and in the lab. However, UVF is still a relatively new technique, and many in the PV industry are still unaware of its potential. We provide a guideline for obtaining, processing, and interpreting UVF images. We have provided a list of considerations for imaging hardware and settings, a suggested pipeline for image processing, and details on a survey of features shown in UVF images. As a result, a new database with UVF images of 7190 modules and another database curated by BrightSpot Automation are publicly available.
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