An optimization of Cs2TiBr6 perovskite solar cell using SCAPS-1D simulation based on genetic algorithm

被引:1
作者
Liu, Xiaoya [1 ]
Chen, Zhengxin [1 ]
Wang, Hairong [2 ]
Zhu, Zhengrong [3 ]
Zhao, Sirui [1 ]
Kong, Lingchen [1 ]
Man, Haitao [1 ]
Huang, Kai [1 ]
Wu, Jiang [1 ]
Ling, Yang [1 ,4 ]
机构
[1] Shanghai Univ Elect Power, Coll Energy & Mech Engn, 2103 Pingliang Rd, Shanghai 200090, Peoples R China
[2] Yangzhou Univ, Coll Elect Energy & Power Engn, Yangzhou, Peoples R China
[3] Shanghai Environm Grp, Solid Waste Div, Shanghai, Peoples R China
[4] Univ Shanghai Sci & Technol, Inst Photochem & Photofunct Mat, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
double perovskites; genetic algorithm; lead-free; SCAPS-1D; EXTERNAL QUANTUM EFFICIENCY; EXCEEDING; 100-PERCENT; THEORETICAL-ANALYSIS; INTERFACE;
D O I
10.1002/cjce.25315
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A genetic algorithm (GA) was used in this simulation work and a well-studied double perovskite structure was chosen to verify the feasibility of the algorithm. To pursue excellent efficiency and stability of the perovskite solar cell, the experimental and simulation data were summarized to determine the adjustable range of parameters for the simulated cell structure. The GA can help us to determine the best combination among a wide range of potential possibilities. The optimal solution was obtained by substituting the best combination data into SCAPS-1D and the open circuit voltage (V-OC) was 1.08 V, fill factor (FF) was 88.81%, short circuit current (J(SC)) was 37.06 mA/cm(2), and the power conversion efficiency (PCE) was 35.54%. Compared to the initial simulation results, the efficiency was improved by 10 percentage points and the J(SC) increased by 12 mA/cm(2). From these conclusions, it was clear that the GA provides a faster and more accurate way to find the optimal solution for perovskite solar cells.
引用
收藏
页码:4193 / 4202
页数:10
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