Inverted random nanopyramids patterning for crystalline silicon photovoltaics
Ounsi El Daif, Christos Trompoukis, Bjoern Niesen, Marwa Ben Yaala,, Parikshit Pratim Sharma, Valerie Depauw, Ivan Gordon

TL;DR
This paper introduces a nanopatterning method for silicon photovoltaics that enhances light absorption and reduces silicon loss, outperforming traditional pyramids with a simple, scalable process.
Contribution
The study presents a novel, self-organized nanopyramid patterning technique that improves optical performance and manufacturing efficiency of crystalline silicon solar cells.
Findings
Nanopyramids increase silicon absorption in visible and near band edge.
The technique reduces silicon loss during texturing by a factor of ten.
Nanopatterns are robust to incident light angle variations.
Abstract
We demonstrate a nanopatterning technique for silicon photovoltaics, which optically outperforms conventional micron-scale random pyramids, while decreasing by a factor of ten the quantity of silicon lost during the texturing process. We combine hole-mask colloidal lithography, a bottom-up nanolithography technique, with reactive ion etching to define nanopyramids at the surface of a silicon wafer. Thanks to the self-organised aspect of the technique, the beads are randomly distributed, however keeping a interbead distance of the order of their diameter. We tune the nanopattern feature size to maximize the absorption in the crystalline silicon by exploiting both anti-reflection and light trapping. When optimized, the nanopyramids lead to a higher absorption in the crystalline silicon than the conventional micron-scale random pyramids in the visible and near the band edge, with a…
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Taxonomy
TopicsPhotonic Crystals and Applications · Optical Coatings and Gratings · Nanofabrication and Lithography Techniques
