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Energy Express

Energy Express

  • Editor: Christian Seassal
  • Vol. 21, Iss. S6 — Nov. 4, 2013
  • pp: A977–A990

An image processing approach to approximating interface textures of microcrystalline silicon layers grown on existing aluminum-doped zinc oxide textures

Kai Hertel, Jürgen Hüpkes, and Christoph Pflaum  »View Author Affiliations

Optics Express, Vol. 21, Issue S6, pp. A977-A990 (2013)

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We present an algorithm for generating a surface approximation of microcrystalline silicon (μc-Si) layers after plasma enhanced chemical vapor deposition (PECVD) onto surface textured substrates, where data of the textured substrate surface are available as input. We utilize mathematical image processing tools and combine them with an ellipsoid generator approach. The presented algorithm has been tuned for use in thin-film silicon solar cell applications, where textured surfaces are used to improve light trapping. We demonstrate the feasibility of this method by means of optical simulations of generated surface textures, comparing them to simulations of measured atomic force microscopy (AFM) scan data of both Aluminum-doped zinc oxide (AZO, a transparent and conductive material) and μc-Si layers.

© 2013 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(160.6000) Materials : Semiconductor materials
(240.5770) Optics at surfaces : Roughness
(350.6050) Other areas of optics : Solar energy

ToC Category:
Light Trapping for Photovoltaics

Original Manuscript: July 9, 2013
Revised Manuscript: September 27, 2013
Manuscript Accepted: October 3, 2013
Published: October 9, 2013

Kai Hertel, Jürgen Hüpkes, and Christoph Pflaum, "An image processing approach to approximating interface textures of microcrystalline silicon layers grown on existing aluminum-doped zinc oxide textures," Opt. Express 21, A977-A990 (2013)

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