Electroluminescence Imaging For Defect Analysis In Polycrystalline Solar Cells

Abstract

Solar energy offers a vast range of applications across industrial and daily contexts, driven by its potential as a clean, sustainable alternative to conventional fuels. However, inherent defects may arise during the manufacturing, transportation, and installation of solar cells, leading to reduced power generation efficiency. To address this challenge, this study presents the application of Electroluminescence (EL) imaging as a non-destructive technique for assessing solar cells, focusing on the identification of defects and performance variations. EL imaging is employed to detect microcracks and other flaws in both flexible and rigid polycrystalline solar cells.

This research details the use of LabVIEW and MATLAB-based image analysis methods, showcasing their effectiveness in detecting and quantifying various defects that affect solar cell reliability and efficiency, including electrical losses, microcracks, and fractures. The LabVIEW approach highlights its robust capabilities in analysing electroluminescence images, while the MATLAB-based method underscores its utility in detailed image processing for defect identification and quantification. The study encompasses the essential tools, image processing techniques, and foundational physical principles required to extract  meaningful  information  from  EL images. By providing a comprehensive overview of EL imaging and diagnostic techniques for solar cells, this research contributes to advancements in solar energy conversion technologies and enhances the understanding of solar cell performance assessment.