Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2729
Title: Surface texturing with multi-objective particle swarm optimization for absorption enhancement in silicon photovoltaics
Authors: Atalay, İpek Anıl
Babayiğit, Ceren
Alpkılıç, Ahmet Mesut
Abdulaziz Yılmaz, Yusuf
Kurt, Hamza
Keywords: Absorption
silicon
light trapping
optical surface waves
reflection
surface texture
Issue Date: 2019
Publisher: IEEE Computer Society
Source: Atalay, İ. A., Babayiğit, C., Alpkiliç, A. M., Yilmaz, Y. A., and Kurt, H. (2019, July). Surface Texturing with Multi-objective Particle Swarm Optimization for Absorption Enhancement in Silicon Photovoltaics. In 2019 21st International Conference on Transparent Optical Networks (ICTON) (pp. 1-4). IEEE.
Series/Report no.: International Conference on Transparent Optical Networks
Abstract: Increasing light absorption in ultrathin-film silicon solar cells is important to improve efficiency and reduce costs. In this study, multi-objective particle swarm optimization (MOPSO) is employed to find proper solar cell parameters for minimum reflection and maximum light trapping which give rise to enhanced absorption. Numerical investigations for two different surface patterns (rectangular and pyramid) are conducted. The results show that, for the ultrathin-film silicon solar cell having an equivalent thickness of 2 ?m, random surfaced pyramid structure provides an ideal photocurrent of 36.96 mA/cm2 and random surfaced rectangular structure provides an ideal photocurrent of 34.67 mA/cm2. From this point of view, proposed approach can be applied to various semiconductor film thicknesses by providing robustness against metallic loss at the back plate of the solar cells. © 2019 IEEE.
URI: https://ieeexplore.ieee.org/document/8840447
https://hdl.handle.net/20.500.11851/2729
ISBN:  978-172812779-8
ISSN: 21627339
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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