High-performance lead-free-perovskite solar cell: a theoretical study

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2023-03-01 DOI:10.1680/jemmr.22.00129

Ahmad Umar, Pranjal Srivastava, Sadanand, Shambhavi Rai, P. Lohia, D. K. Dwivedi, Hassan Algadi, S. Baskoutas

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引用次数: 3

Abstract

In the present work, lead-free perovskite solar cell has been structured using CH3NH3SnI3 as an absorber layer, P3HT acting as a HTL, and TiO2 as ETL material. Perovskite solar cell is the originating photovoltaic technology that shows great elevation in its performance during recent years. The fundamental n-i-p planar heterojunction structure of photovoltaic cells has been designed and simulated with solar cell capacitance simulation software (SCAPS-1D). In this study, different parameters like thickness, acceptor density, temperature, and defect density have been varied to increase the device performance. Optimum values of different parameters have been used to attain the good results of the photovoltaic device such as PCE, VOC, FF, and JSC of 27.54%, 1.0216 V, 86.56%, and 31.14 mA/cm2, respectively. The impact of acceptor density has been varied from 1x10−12 cm−3 to 1x10−20 cm−3 for the proposed device structure. Therefore, the PCE of this device structure increases by using different charge transport materials. This simulation study shows that the proposed cell structure can be used to construct the photovoltaic cell with higher efficiency.

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高性能无铅钙钛矿太阳能电池的理论研究

本文以CH3NH3SnI3为吸收层，P3HT为HTL, TiO2为ETL材料，构建了无铅钙钛矿太阳能电池。钙钛矿太阳能电池是近年来发展起来的光伏发电技术，其性能得到了很大的提升。利用太阳能电池电容仿真软件(SCAPS-1D)对光伏电池基本的n-i-p平面异质结结构进行了设计和仿真。在这项研究中，不同的参数，如厚度，受体密度，温度和缺陷密度已经改变，以提高器件性能。采用不同参数的最优值，光伏器件的PCE、VOC、FF和JSC分别为27.54%、1.0216 V、86.56%和31.14 mA/cm2，取得了较好的效果。对于所提出的器件结构，受体密度的影响从1 × 10−12 cm−3到1 × 10−20 cm−3不等。因此，使用不同的电荷输运材料可以提高该器件结构的PCE。仿真研究表明，所提出的电池结构可用于构建效率较高的光伏电池。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

期刊介绍： Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.