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Small pyramidal textured ultrathin crystalline silicon solar cells with double-layer passivation

Tan, Xinyu; Yan, Wensheng; Tu, Yiteng; Deng, Can

Abstract:
Ultrathin crystalline silicon solar cells are a promising technology roadmap to achieve more cost effectiveness. However, experimental reports on ultrathin crystalline silicon cells with thickness less than 20 μm are rare. Here, we experimentally fabricate and investigate ultrathin monocrystalline silicon solar cells consisting of 16 μm-silicon base thickness and low-cost front random pyramidal texture with the feature size of 1-2 μm. The normalized light absorption is calculated to explain the measured external quantum efficiency. The achieved efficiency is 15.1% for the single-layer passivated textured solar cell. ... mehr

Abstract (englisch):
Ultrathin crystalline silicon solar cells are a promising technology roadmap to achieve more cost effectiveness. However, experimental reports on ultrathin crystalline silicon cells with thickness less than 20 µm are rare. Here, we experimentally fabricate and investigate ultrathin monocrystalline silicon solar cells consisting of 16 µm-silicon base thickness and low-cost front random pyramidal texture with the feature size of 1-2 µm. The normalized light absorption is calculated to explain the measured external quantum efficiency. The achieved efficiency is 15.1% for the single-layer passivated textured solar cell. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000071764
Veröffentlicht am 19.11.2018
Originalveröffentlichung
DOI: 10.1364/OE.25.014725
Scopus
Zitationen: 13
Web of Science
Zitationen: 10
Coverbild
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator ISSN: 1094-4087
urn:nbn:de:swb:90-717649
KITopen-ID: 1000071764
HGF-Programm 43.23.04 (POF III, LK 01)
Erschienen in Optics express
Band 25
Heft 13
Seiten 14725
Bemerkung zur Veröffentlichung https://www.osapublishing.org/oe/abstract.cfm?uri=oe-25-13-14725
Nachgewiesen in Scopus
Web of Science
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