4.5 Article

Quantitative Electroluminescence Imaging Analysis for Performance Estimation of PID-Influenced PV Modules

Journal

IEEE JOURNAL OF PHOTOVOLTAICS
Volume 8, Issue 5, Pages 1281-1288

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOTOV.2018.2846665

Keywords

Electroluminescence (EL); metrology; performance evaluation; photovoltaic (PV) modules; potential-induced degradation (PID); solar cells

Funding

  1. National University of Singapore
  2. National Research Foundation of Singapore through Singapore Economic Development Board
  3. National High-Tech R&D Program of China (863 Program) [2015AA050302]
  4. China Natural Science Foundation of Jiangsu Province [BK20151192]

Ask authors/readers for more resources

An empirical method for estimating relative power losses caused by potential-induced degradation (PID) for p-type solar cells and modules using quantitative electroluminescence (EL) analysis (QELA) is presented. First, EL images are corrected for camera-and perspective distortion. The relative power loss map is then calculated from the logarithmic ratio of two EL images, taken either before and after PID degradation or at different applied currents. Only the cell average of the resulting power loss map is evaluated. The highest power loss across each string is averaged to obtain the overall power loss. Consequently, for modules with three strings, three cells are averaged. The resulting power loss depends on the current applied. The conversion to equivalent irradiance allows for comparison of measured and estimated device performance. The analysis of roughly 2000 EL images and related current-voltage (I-V) curves indicates a good agreement between flash-test-measured and performance estimated using QELA. A relative root mean square error of 1-3% can be achieved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available