Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/127826
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dc.titleSURFACE ETCHING TECHNOLOGIES FOR MONOCRYSTALLINE SILICON WAFER SOLAR CELLS
dc.contributor.authorTANG MUZHI
dc.date.accessioned2016-09-15T18:00:16Z
dc.date.available2016-09-15T18:00:16Z
dc.date.issued2016-03-28
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/127826
dc.description.abstractWith more than 200 GW of accumulated installations in 2015, photovoltaics (PV) has become an important green energy harvesting method. The PV market is dominated by solar cells made from crystalline silicon wafers. The engineering of the wafer surfaces is critical to the solar cell cost reduction and performance enhance¬ment. Therefore, this thesis focuses on the development of surface etching techno¬logies for monocrystalline silicon wafer solar cells. It aims to develop a more efficient alkaline texturing method and more effective surface cleaning processes. Firstly, a rapid, isopropanol alcohol free texturing method is successfully demon¬strated to shorten the process time and reduce the consumption of chemicals. This method utilizes the special chemical properties of triethylamine, which can form Si-N bonds with wafer surface atoms. Secondly, a room-temperature anisotropic emitter etch-back process is developed to improve the n+ emitter passivation. Using this method, 19.0% efficient screen-printed aluminium back surface field solar cells are developed that show an efficiency gain of 0.15% (absolute) compared with conven¬tionally made solar cells. Finally, state-of-the-art silicon surface passivation results are achieved using hydrogen plasma etching as a dry alternative to the classical hydrofluoric acid wet-chemical process. The effective native oxide removal and the hydrogenation of the silicon surface are shown to be the reasons for the excellent level of surface passivation achieved with this novel method.
dc.language.isoen
dc.subjectmonocrystalline, solar cell, etching, surface, wet chemistry, plasma
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorABERLE, ARMIN GERHARD
dc.contributor.supervisorTHOMAS MUELLER
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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