About How to measure the degree of hidden cracks in photovoltaic panels
For better understanding how some cracks affect the surface of the PV modules, we have created a MATLAB code which can simulate the measured data of a cracked PV module in order to evaluate the surface shape for a particular crack-type using Surf(x, y, z) MATLAB function [22].
For better understanding how some cracks affect the surface of the PV modules, we have created a MATLAB code which can simulate the measured data of a cracked PV module in order to evaluate the surface shape for a particular crack-type using Surf(x, y, z) MATLAB function [22].
Manufacturers perform incoming and outgoing inspection, such as electroluminescence (EL) or electroluminescence crack detection (ELCD) testing. EL testing is a process that makes use of image analysis and measurement, which enables sight directly into the solar cells to locate inherent potential defects.
This study explains how the manual inspection of PV cells in manufacturing facilities is a costly and time-consuming process that can result in human bias. The solution to this problem is integrating computer vision into the inspection process, which can detect defective PV cells more quickly and cost effectively.
These results confirm to a certain degree that cracks in solar cells are a form of PID; they affect the output power performance and are unlikely to be mitigated.
Commonly seen defects are 1) Long cracks that commonly start and end at either a cell edge or a wire location, 2) short “V-cracks” most commonly at the tips of wires or where wires cross a cell edge, 3) short “X-cracks” due to sharp impacts, 4) dark bands along a portion of the wire due to cold solder joints
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