Paper
26 September 2016 IR-images of PV-modules with potential induced degradation (PID) correlated to monitored string power output
Claudia Buerhop, Tobias Pickel, Tiberius Blumberg, Jens Adams, Simon Wrana, Manuel Dalsass, Cornelia Zetzmann, Christian Camus, Jens Hauch, Christoph J. Brabec
Author Affiliations +
Abstract
Many PV-plants suffer from potential induced degradation (PID) which causes severe power reduction of installed PVmodules. Fast and reliable methods to detect PID and evaluate the impact on the module performance are gaining importance. Drone-assisted IR-inspection is a suitable method. PID affected modules are detected by their characteristic IR-fingerprint, modules with differing number of slightly heated cells occur more frequently at the negative string end. These modules show a degraded IV-curve, lowered Voc and Isc, and electroluminescence (EL)-images with suspicious, dark cells. Also, the measured string power is reduced. For a first quantitative data evaluation the suspicious cell are counted in the IR-images and correlated with the module power. A linear decrease of the module power with increasing number of suspicious cells results. A correlation function for estimating the module power was deduced, which has a mean deviation of less than 7%. This correlation function allows an acceptable approximation of the string power.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claudia Buerhop, Tobias Pickel, Tiberius Blumberg, Jens Adams, Simon Wrana, Manuel Dalsass, Cornelia Zetzmann, Christian Camus, Jens Hauch, and Christoph J. Brabec "IR-images of PV-modules with potential induced degradation (PID) correlated to monitored string power output", Proc. SPIE 9938, Reliability of Photovoltaic Cells, Modules, Components, and Systems IX, 99380J (26 September 2016); https://doi.org/10.1117/12.2237800
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Inspection

Electroluminescence

Correlation function

Temperature metrology

Failure analysis

Quantitative analysis

Reliability

Back to Top