Volume 19, Issue 2 (JIAEEE Vol.19 No.2 2022)
Journal of Iranian Association of Electrical and Electronics Engineers 2022, 19(2): 139-148 |
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Derakhshan nia S, Shakiba M, Shakiba M. Modeling and Analysis of Two-junction Direct Bandgap Solar Cell Based on Ensemble Monte Carlo Algorithm. Journal of Iranian Association of Electrical and Electronics Engineers 2022; 19 (2) :139-148
URL: http://jiaeee.com/article-1-1102-en.html
URL: http://jiaeee.com/article-1-1102-en.html
Jundi-Shapur University of Technology
Abstract: (1353 Views)
In this paper, Ensemble Monte Carlo modeling and simulation of two-junction solar cells is presented. Nowadays, due to the importance of designing the high efficiency solar cells, using of two-junction solar cells to construct solar panels has become inevitable. Although, this approach will increase the complexity of the cell structure, but analyzing the electrical and electronic device behavior prior to initiating the manufacturing process will speed up the achieving of optimal cell. Considering the random motion of electrons and holes in the solar cell and the capability of the Monte Carlo algorithm to model random phenomena, it provides more accurate information about device than drift-diffusion and hydrodynamic methods. In this study, in order to further adapt the behavior of the modeled device to its fabricated, the Monte Carlo method was used to simulate the drift-scat of particles. In addition, in order to solve the Poisson equation and to calculate the potential distribution and electric field, the Gamel numerical method is used. Electrical and electronic features derived are included as the distribution of intrinsic and photo carrier concentrations, the energy distribution of the carrier along to the cell, the electrical potential distribution and the cell current-voltage curve. In this research MATLAB R2018b (9.5.0) software had been used to simulate of two-junction solar cell based on Ensemble Monte Carlo Algorithm.
Keywords: Two-junction Solar Cells, Ensemble Monte Carlo, Scattering Processes, Distribution of Energy, Distribution of Photo Carrier Concentration, Conversion Efficiency.
Type of Article: Research |
Subject:
Electronic
Received: 2020/03/26 | Accepted: 2022/02/27 | Published: 2022/06/24
Received: 2020/03/26 | Accepted: 2022/02/27 | Published: 2022/06/24
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