perovskite photovoltaic
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Crystals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1588
Author(s):  
Hyeon Ju Tak ◽  
Ji Hyeon Lee ◽  
Seunghwan Bae ◽  
Jea Woong Jo

All-inorganic perovskites consisting of only inorganic elements have been recently considered as highly stable semiconductors for photoactive layer of optoelectronics applications. However, the formation of high-quality thin film and trap-reduced interface has still remains an important task, which should be solved for improving the performances of all-inorganic perovskite-based photovoltaics. Here, we adopted facile method that could reduce charge-carrier recombination by depositing a passivation agent on the top surface of the CsPbBr3 all-inorganic perovskite layer. We also found that the CsPbBr3 perovskite photovoltaic prepared from surface treatment method using n-octylammonium bromide provides an improved stability in ambient environment and 1-sun illuminating condition. Therefore, the perovskite photovoltaics fabricated from our approach offered an improved power conversion efficiency of 5.44% over that of the control device without surface treatment (4.12%).


2021 ◽  
Vol 84 (1) ◽  
pp. 1-9
Author(s):  
Khairil Ezwan Kaharudin ◽  
Fauziyah Salehuddin

Perovskite photovoltaic cell is regarded as an alternative configuration for the conventional photovoltaic cells predominantly due to its high efficiency. In this paper, a predictive modeling using a hybrid L27 orthogonal array (OA) Taguchi-based Grey relational analysis (GRA), multiple linear regression (MLR) and genetic algorithm (GA) was proposed to optimize the device parameters for better overall performance. The Perovskite photovoltaic cell model is initially constructed and simulated using solar cell capacitance simulator (SCAPS). The final results reveal that the proposed hybrid L27 OA Taguchi-based GRA-MLR-GA approach has effectively optimized the device parameters in which SnO2:F thickness, SnO2:F donor density, ZnO thickness, ZnO donor density, CH3NH3PbI3-xClx thickness, CH3NH3PbI3-xClx donor density, Spiro-OMeTAD thickness and Spiro-OMeTAD acceptor density are predictively tuned at 0.198 μm, 8.973 x 1018 cm-3, 0.039 μm, 8.827 x 1017 cm-3, 0.386 μm, 1.929 x 1013 cm-3, 0.233 μm and 8.984 x 1018 cm-3 respectively. After the predictive modeling, both FF and PCE of the perovskite photovoltaic cell have been improved for ~5.93% and ~5.78% respectively.


2021 ◽  
pp. 133713
Author(s):  
Xuehui Liu ◽  
Min Chen ◽  
Yi Zhang ◽  
Jianxing Xia ◽  
Junze Yin ◽  
...  

Author(s):  
A.A. Zakhidov ◽  
◽  
G.T. Zhamanbayeva ◽  
G.Sh. Yar-Mukhamedova ◽  
◽  
...  

The article describes a number of new fundamental knowledge about mechanisms of degradation processes occurring in photoactive perovskite materials based on complex lead halides and solar cells based on them, modern methods and approaches to increasing the operational stability of perovskite photovoltaic devices are considered. The revealed paths of degradation processes occurring in complex metal halides (lead and tin) under the influence of light and elevated temperatures are important for further developments in the field of creating highly efficient and stable perovskite solar cells of a new generation. The investigated models of degradation are described both under the action of moisture and as a result of radiation ionization processes. The importance of solving the Dexter-Varley paradox, which takes into account the competition between the processes of displacement of IS0 states, as well as the delocalization of the resulting hole in the valence band, is emphasized. It was shown that by changing the force of pressure of the tape on the perovskite film, it was possible to achieve the maximum values of the light conversion efficiency of about 12.7%. It was found that the presence of charge carriers in the form of polarons can significantly affect the assessment of the degradation efficiency towards its increase. The data obtained can radically change the traditional ideas about the efficiency of photochemical reactions.


Solar RRL ◽  
2021 ◽  
pp. 2100535
Author(s):  
Maximilian Ernst ◽  
Jan-Philipp Herterich ◽  
Christoph Margenfeld ◽  
Markus Kohlstädt ◽  
Uli Würfel

2021 ◽  
Author(s):  
Yousra Bensouda ◽  
Yasmine Boudihaj ◽  
Nada Sebti ◽  
Hajar Hassina ◽  
Yassine Salih-Alj

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