Photoluminescence imaging of field-installed photovoltaic modules has the potential to be a high throughput on-site inspection technique. A contribution to this development is a noninvasive photoluminescence imaging method that has been proposed recently. It is based on acquiring images during a progressing current–voltage curve sweep, resulting in a detection of a continuously changing photoluminescence signal. From this follows the necessity to employ an alternative algorithm based on the Pearson correlation coefficient, which will contribute to efficient, unsupervised image processing and, thus, easier (in real-time) implementation. The new algorithm separates photoluminescence from the reflected sunlight, similar to the conventional subtraction algorithm. However, it is robust to varying solar irradiance and can process the photoluminescence signal emitted from multiple asynchronized strings. We predict that it will enable unsupervised real-time surveillance and detection of functional anomalies at a low computational cost. It is also more sensitive at segmenting ground-reflected photoluminescence.
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7 June 2023
Research Article|
June 01 2023
Extraction of photoluminescence with Pearson correlation coefficient from images of field-installed photovoltaic modules Available to Purchase
M. Vuković
;
M. Vuković
a)
(Conceptualization, Formal analysis, Investigation, Writing – original draft)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
a)Author to whom correspondence should be addressed: [email protected]
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K. H. Liland
;
K. H. Liland
(Conceptualization, Methodology, Software, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
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U. G. Indahl
;
U. G. Indahl
(Conceptualization, Methodology, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
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M. Jakovljević
;
M. Jakovljević
(Conceptualization, Investigation, Software, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
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A. S. Flø
;
A. S. Flø
(Supervision, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
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E. Olsen
;
E. Olsen
(Supervision, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
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I. Burud
I. Burud
(Supervision, Writing – review & editing)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
Search for other works by this author on:
M. Vuković
Conceptualization, Formal analysis, Investigation, Writing – original draft
a)
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
K. H. Liland
Conceptualization, Methodology, Software, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
U. G. Indahl
Conceptualization, Methodology, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
M. Jakovljević
Conceptualization, Investigation, Software, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
A. S. Flø
Supervision, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
E. Olsen
Supervision, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
I. Burud
Supervision, Writing – review & editing
Faculty of Science and Technology, Norwegian University of Life Sciences
, Ås, Norway
a)Author to whom correspondence should be addressed: [email protected]
J. Appl. Phys. 133, 214901 (2023)
Article history
Received:
March 22 2023
Accepted:
May 13 2023
Citation
M. Vuković, K. H. Liland, U. G. Indahl, M. Jakovljević, A. S. Flø, E. Olsen, I. Burud; Extraction of photoluminescence with Pearson correlation coefficient from images of field-installed photovoltaic modules. J. Appl. Phys. 7 June 2023; 133 (21): 214901. https://doi.org/10.1063/5.0151487
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