Volume 3, 2012
|Number of page(s)||6|
|Published online||18 July 2012|
Modelling on c-Si/a-Si:H wire solar cells: some key parameters to optimize the photovoltaic performance
LGEP, UMR 8507 CNRS, SUPELEC, UPMC, Université Paris-Sud
11, 11 rue Joliot-Curie, Plateau de
Received: 21 November 2011
Accepted: 23 April 2012
Published online: 18 July 2012
Solar cells based on silicon nano- or micro-wires have attracted much attention as a promising path for low cost photovoltaic technology. The key point of this structure is the decoupling of the light absorption from the carriers collection. In order to predict and optimize the performance potential of p- (or n-) doped c-Si/ n-(or p-) doped a-Si:H nanowire-based solar cells, we have used the Silvaco-Atlas software to model a single-wire device. In particular, we have noticed a drastic decrease of the open-circuit voltage (Voc) when increasing the doping density of the silicon core beyond an optimum value. We present here a detailed study of the parameters that can alter the Voc of c-Si(p)/a-Si:H (n) wires according to the doping density in c-Si. A comparison with simulation results obtained on planar c-Si/a-Si:H heterojunctions shows that the drop in Voc, linked to an increase of the dark current in both structures, is more pronounced for radial junctions due to geometric criteria. These numerical modelling results have lead to a better understanding of transport phenomena within the wire.
© Owned by the authors, published by EDP Sciences, 2012
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial License 3.0, which permits unrestricted use, distribution, and reproduction in any noncommercial medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.