Optoelectronics Letters, Volume. 17, Issue 12, 734(2021)

Simulation and analysis of polycrystalline silicon photovoltaic cells surface color differences based on transfer matrix method

Zijian CHEN1...2,*, Zenghong MA3, Haoyuan JIA4, Lian ZHANG3, Yan SUN5 and Shiyu WANG1 |Show fewer author(s)
Author Affiliations
  • 1School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China
  • 2Energy Engineering School, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China
  • 3Basic Experimental and Training Center, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China
  • 4Tianjin Yingli New Energy Co., Ltd., Tianjin 301510, China
  • 5Tianjin Light Industry Vocational Technical College, Tianjin 300350, China
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    Following the previous work, in this paper, the antireflective films thicknesses, refractive indexes and reflectance spectra of different color categories of the polycrystalline silicon cells are tested and compared. It is found that the color difference of polycrystalline silicon cells is mainly caused by the antireflective film. Then the matrix transfer method is used to simulate the reflection spectra according to the actual tested parameters of the samples, and the effectiveness of the simulation is verified. Finally, according to the distribution of the spectral solar irradiance, the total solar absorption of the polycrystalline silicon cells with different antireflective film thicknesses is simulated. The optimal value of the antireflective film thickness of the polycrystalline silicon cell is calculated. This study has important guiding significance for photovoltaic (PV) enterprises to realize the optimal production of plasma enhanced chemical vapor deposition (PECVD) process in production.

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    CHEN Zijian, MA Zenghong, JIA Haoyuan, ZHANG Lian, SUN Yan, WANG Shiyu. Simulation and analysis of polycrystalline silicon photovoltaic cells surface color differences based on transfer matrix method[J]. Optoelectronics Letters, 2021, 17(12): 734

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    Paper Information

    Received: Jul. 4, 2021

    Accepted: Aug. 26, 2021

    Published Online: Jan. 10, 2022

    The Author Email: Zijian CHEN (492680311@qq.com)

    DOI:10.1007/s11801-021-1107-1

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