Browsing by Author "Chung, Hsiao-Yen"

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Analysis of Pyramidal Surface Texturization of Silicon Solar Cells by Molecular Dynamics Simulations
(2008)
Chung, Hsiao-Yen
;
Chen, Chiun-Hsun
;
Chu, Hsin-Sen
;
機械工程學系
;
Department of Mechanical Engineering
The purpose of this paper is to explore the relations between surface texturization and absorptance of multicrystalline silicon solar cells by a simple new model, based on the classic molecular (MD) dynamics simulation, alternative to complex electron-photon interactions to analyze the surface texturization of solar cells. In this study, the large tilted angle leads to the lower efficiency of solar cell. To consider the effect of incident angle, a range of high efficiency exists due to the increasing probability of second reflection. Furthermore, the azimuth angle of incident light also affects the efficiency of solar cells. Our results agree well with previous studies. This MD model can potentially be used to predict the efficiency promotion in any optical reflection-absorption cases. Copyright (C) 2008 Hsiao-Yen Chung et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Analysis of surface texturization of solar cells by molecular dynamics simulations
(2008)
Chung, Hsiao-Yen
;
Chen, Chiun-Hsun
;
Chu, Hsin-Sen
;
機械工程學系
;
Department of Mechanical Engineering
The purpose of this paper is to develop a simple new model, based on the classic molecular dynamics simulation (MD), alternative to complex electron-photon interactions to analyze the surface texturization of solar cells. This methodology can easily propose the absorptance differences between texturing and nontexturing solar cells. To verify model feasibility, this study simulates square, pyramidal, and semicircular texturization surfaces. Simulations show that surface texturization effectively increases the absorptance of incident light for solar cells, and this paper presents optimal texturization shapes. The MD model can also be potentially used to predict the efficiency promotion in any optical reflection-absorption cases. Copyright (C) 2008 Hsiao-Yen Chung et al.