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Sorting Criteria for Bifacial PERC Cells for Improved Module Classification

 
: Wöhrle, N.; Alapont-Sabater, A.; Krieg, A.; Ramspeck, K.; Fellmeth, T.; Schmid, A.; Rein, S.

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Fulltext urn:nbn:de:0011-n-5782890 (521 KByte PDF)
MD5 Fingerprint: 96a90b33d366edfa0dda8d4fa6443088
Created on: 4.3.2020


36th European Photovoltaic Solar Energy Conference and Exhibition, EU PVSEC 2019 : Proceedings of the international conference held in Marseille, France, 09-13 September 2019
Marseille, 2019
ISBN: 3-936338-60-4
pp.447-450
European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC) <36, 2019, Marseille>
English
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Photovoltaik; Silicium-Photovoltaik; Messtechnik und Produktionskontrolle

Abstract
With the increase of bifacial solar cells’ market share a major question for solar cell characterization is whether it is beneficial to determine the solar cells rear side efficiency together with the by default measured front side efficiency. In this work we investigate how a regularly and a heavily fluctuating rear side efficiency in production influence module power and the choice of sorting categories (“bin”). A sample batch of 1000 industrial bifacial solar cells with a regular production efficiency spread was produced and bifacially measured in an inline IV flasher. A module simulation was built, which creates virtual modules from IV curves of the cell batch with defined sorting criteria. Monofacial and bifacial sorting criteria were compared showing advantages for the bifacial criteria. To validate the simulation model and results eight bifacial 60-cell glass-glass modules were fabricated. Subsequently the given cell pool was virtually extended to production scale (100.000 cells) to evaluate the approach’s sortingbenefits for a quasi-infinite cell pool. The study’s result is that the inclusion of the bifacial efficiency into the sorting criteria makes it possible to diversify a monofacially determined module class into several clearly distinguished bifacial module classes while the average module power of the whole pool remains constant. Moreover the power spread of each module class gets significantly sharpened, which can reduce downgrading in sales The robustness of the module power towards changing illumination conditions increases and the effects of certain choice of sorting bins and illumination conditions on module classes are directly made visible through the developed simulation.

: http://publica.fraunhofer.de/documents/N-578289.html