반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

반사방지막 태양전지의 I-V특성에 대한 인공신경망 모델링

I-V Modeling Based on Artificial Neural Network in Anti-Reflective Coated Solar Cells

  • 홍다인 (상명대학교 시스템반도체공학과) ;
  • 이종환 (상명대학교 시스템반도체공학과)
  • Hong, DaIn (Department of System Semiconductor Engineering, Sangmyung University) ;
  • Lee, Jonghwan (Department of System Semiconductor Engineering, Sangmyung University)
  • 투고 : 2022.09.16
  • 심사 : 2022.09.21
  • 발행 : 2022.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

An anti-reflective coating is used to improve the performance of the solar cell. The anti-reflective coating changes the value of the short-circuit current about the thickness. However, the current-voltage characteristics about the anti-reflective coating are difficult to calculate without simulation tool. In this paper, a modeling technique to determine the short-circuit current value and the current-voltage characteristics in accordance with the thickness is proposed. In addition, artificial neural network is used to predict the short-circuit current with the dependence of temperature and thickness. Simulation results incorporating the artificial neural network model are obtained using MATLAB/Simulink and show the current-voltage characteristic according to the thickness of the anti-reflective coating.

키워드

과제정보

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(No. 2022R1I1A3064285).

참고문헌

  1. Xiongwen Zhang "Thermal Analysis of a Cylindrical Lithi-um-ion Battery", Journal of Electrochemical Acta 56, pp.1246~1255, 2011. https://doi.org/10.1016/j.electacta.2010.10.054
  2. R. Sharma, "Selection of Materials for Double Layer Antireflection Coating of Silicon Solar Cell," IJETER, Vol.9, No.10, pp.1327-1331, Oct. 2021. https://doi.org/10.30534/ijeter/2021/059102021
  3. R. I. Jabbar, "Modeling and Analysis of Different Antireflection Polymer Coating on Silicon Solar Cell Using Pc1d Software.", Vol. 43, No. 7, pp. 222-232, 2020.
  4. J. H. Kim, S. C. Roh, J. H. Choi, J. D. Jung, and H. I. Seo, "A Study on Silicon Nitride Films by High Frequency PECVD for Crystalline Silicon Solar Cells," Journal of the Semiconductor & Display Technology, Vol.11, No.2, pp.7-11, June 2012.
  5. K. D. Kim "A Study on the Application of Thin Film Passivation and Crystalline Silicon Solar Cells Using PECVD Process," Journal of the Semiconductor & Display Technology, Vol.19, No.2, pp. 68-71, June 2020.
  6. A. Bahrami, S. Mohammadnejad, N. J. Abkenar & S. Soleimaninezhad, "Optimized Single and Double Layer Antireflection Coatings for GaAs Solar Cells," International journal of renewable energy research Vol.3, pp. 79-83, 2013.
  7. M. G. Villalva, J. R. Gazoli & E. Ruppert Filho, "Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays," IEEE Trans. Power Electronics, Vol.24, no. 5, pp. 1198-1208, 2009. https://doi.org/10.1109/TPEL.2009.2013862
  8. G. K. Burra, D. S. Ghosh & S. Tiwari, "Device Simulation of Perovskite/Silicon Tandem Solar Cell with Antireflective Coating," Research Square, 2021.
  9. S. H. Lee, G. H. Kang, G. J. Yu, H. K. Ahn, and D. Y. Han, "Two-Dimensional Model Simulation for Reflectance of Single Crystalline Silicon Solar Cell," Proceeding of the Korean Solar Energy, Vol. 32, No.1 , pp. 237-242, Mar. 29-30, 2012.
  10. Ammar H. Elsheikha, Swellam W. Sharshirc, Mohamed Abd Elazizd, A.E. Kabeelf, Wang Guilang, Zhang Haioub, "Modeling of Solar Energy Systems Using Artificial Neural Network: A Comprehensive Review," Solar Energy, Vol. 180, pp. 622-639, 2019. https://doi.org/10.1016/j.solener.2019.01.037