Self-Organized Back Surface Field to Improve the Performance of Cu2ZnSn(S,Se)4 Solar Cells by Applying P-Type MoSe2:Nb to the Back Electrode Interface

2019 ◽  
Vol 11 (35) ◽  
pp. 31851-31859 ◽  
Author(s):  
Yanping Song ◽  
Bin Yao ◽  
Yongfeng Li ◽  
Zhanhui Ding ◽  
Huanhuan Sun ◽  
...  
2017 ◽  
Vol 124 ◽  
pp. 384-391 ◽  
Author(s):  
Yuka Tomizawa ◽  
Yoshinori Ikeda ◽  
Haruhiko Itoh ◽  
Takashi Shiro ◽  
Jochen Loffler ◽  
...  

RSC Advances ◽  
2017 ◽  
Vol 7 (43) ◽  
pp. 26776-26782 ◽  
Author(s):  
Fengyou Wang ◽  
Yanbo Gao ◽  
Zhenyu Pang ◽  
Lili Yang ◽  
Jinghai Yang

Interface defects and the back surface field of p-type heterojunction solar cells are investigated for achieving high performance.


Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3275
Author(s):  
Devendra KC ◽  
Deb Kumar Shah ◽  
M. Shaheer Akhtar ◽  
Mira Park ◽  
Chong Yeal Kim ◽  
...  

This paper numerically explores the possibility of ultrathin layering and high efficiency of graphene as a back surface field (BSF) based on a CdTe solar cell by Personal computer one-dimensional (PC1D) simulation. CdTe solar cells have been characterized and studied by varying the carrier lifetime, doping concentration, thickness, and bandgap of the graphene layer. With simulation results, the highest short-circuit current (Isc = 2.09 A), power conversion efficiency (h = 15%), and quantum efficiency (QE ~ 85%) were achieved at a carrier lifetime of 1 × 103 ms and a doping concentration of 1 × 1017 cm−3 of graphene as a BSF layer-based CdTe solar cell. The thickness of the graphene BSF layer (1 mm) was proven the ultrathin, optimal, and obtainable for the fabrication of high-performance CdTe solar cells, confirming the suitability of graphene material as a BSF. This simulation confirmed that a CdTe solar cell with the proposed graphene as the BSF layer might be highly efficient with optimized parameters for fabrication.


Solar Energy ◽  
2021 ◽  
Vol 220 ◽  
pp. 211-216
Author(s):  
H.P. Yin ◽  
W.S. Tang ◽  
J.B. Zhang ◽  
W. Shan ◽  
X.M. Huang ◽  
...  

2016 ◽  
Vol 55 (2) ◽  
pp. 022301 ◽  
Author(s):  
Yuanyuan Wu ◽  
Lian Ji ◽  
Pai Dai ◽  
Ming Tan ◽  
Shulong Lu ◽  
...  

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