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Medientyp:
E-Artikel
Titel:
Automatized analysis of IR‐images of photovoltaic modules and its use for quality control of solar cells
Beteiligte:
Hepp, Johannes;
Machui, Florian;
Egelhaaf, Hans‐J.;
Brabec, Christoph J.;
Vetter, Andreas
Erschienen:
Wiley, 2016
Erschienen in:Energy Science & Engineering
Sprache:
Englisch
DOI:
10.1002/ese3.140
ISSN:
2050-0505
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>It is well known that the performance of solar cells may significantly suffer from local electric defects. Accordingly, infrared thermography (i.p. lock‐in thermography) has been intensely applied to identify such defects as hot spots. As an imaging method, this is a fast way of module characterization. However, imaging leads to a huge amount of data, which needs to be investigated. An automatized image analysis would be a very beneficial tool but has not been suggested so far for lock‐in thermography images. In this manuscript, we describe such an automatized analysis of solar cells. We first established a robust algorithm for segmentation (or recognition) for both, the <jats:styled-content style="fixed-case">PV</jats:styled-content>‐module and the defects (hot spots). With this information, we then calculated a parameter from the <jats:styled-content style="fixed-case">IR</jats:styled-content>‐images, which could be well correlated with the maximal power (<jats:italic>P</jats:italic><jats:sub>mpp</jats:sub>) of the modules. The proposed automatized method serves as a very useful foundation for faster and more thorough analyses of <jats:styled-content style="fixed-case">IR</jats:styled-content>‐images and stimulates the further development of quality control on solar modules.</jats:p>