再现性
硒化锌
锌
材料科学
钙钛矿(结构)
硒化物
太阳能电池
氧化物
钙钛矿太阳能电池
无机化学
光电子学
工程物理
化学工程
冶金
化学
物理
硒
工程类
色谱法
作者
Santosh V. Patil,Kshitij Bhargava,Indrajit D. Pharne
出处
期刊:Physica Scripta
[IOP Publishing]
日期:2024-03-02
卷期号:99 (4): 045933-045933
被引量:5
标识
DOI:10.1088/1402-4896/ad2f95
摘要
Abstract The combination of titanium dioxide (TiO 2 ) as electron transport layer (ETL) and 2,2’,7,7’-Tetrakis [N,N-di(4-methoxyphenyl)amino]−9,9’-spirobifluorene (Spiro-OMeTAD) as hole transport layer (HTL) have been frequently used in solution-processed perovskite solar cells (PSCs). However, the high sintering temperature required during the deposition of TiO 2 layer and expensive Spiro-OMeTAD are limiting its commercial applicability. In this context, the combination of zinc sulfo-selenide (ZnS 0.5 Se 0.5 ) (as ETL) which can be spray coated and inexpensive cuprous oxide (Cu 2 O) (as HTL) can serve as an alternative. This report computationally explores and compares the utility of the combination of ZnS 0.5 Se 0.5 and Cu 2 O against that of TiO 2 and Spiro-OMeTAD in terms of performance and reproducibility of MAPbI 3 based PSC. The performance of optimized baseline models is quantitatively compared in terms of the values of performance metrics. Also, their performance is compared with respect to variations in bulk/interfacial defect density using the electrical and impedance spectroscopy characterizations. Further, their reproducibility is compared under variable carrier mobility of absorber layer. The optimized champion and mean power conversion efficiency of ZnS 0.5 Se 0.5 /Cu 2 O based cell are 25.6% and 25.3% respectively with standard deviation of 0.73% which is quite impressive and realistic when compared to the existing literature. The results obtained are quantitatively explained based on correlation between the cumulative effect of transit and recombination resistances evaluated using Nyquist profiles. The report systematically addresses the importance of ETL and HTL combination towards improving the performance and reproducibility of solution-processed PSCs.
科研通智能强力驱动
Strongly Powered by AbleSci AI