Comparative Performance Analysis and Modelling of Tin based Planar Perovskite Solar Cell

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI:10.1109/ICICCSP53532.2022.9862399

Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill

{"title":"Comparative Performance Analysis and Modelling of Tin based Planar Perovskite Solar Cell","authors":"Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill","doi":"10.1109/ICICCSP53532.2022.9862399","DOIUrl":null,"url":null,"abstract":"The era of new generation photovoltaics has captivated by the halide perovskites since their first execution, which was just a decade back. In spite of having the exceptional performance, the toxic nature of lead presents severe concerns for their commercialization and risks associated with human health and environment. Comparative analysis and modelling of solar cell with different absorber layers will supplement the current research progress in the field of perovskite solar cell (PSC). In this work, impact of five different perovskites: FASnI3, MASnI3, CsSnI3, CsSnCl3, and MAGeI3 as absorbing material was investigated and CsSnI3 was found to be most efficient among all with maximum power conversion efficiency (PCE). The structure used for inspection is Au/CuI/Perovskite/PCBM/TCO. In the proposed structure the effect of varying absorber layer thickness (AT), defect density and dopant concentration are analyzed. Total defect density (Nt) of HTL/perovskite and perovskite/ETL interface was also varied to investigate its effect on a PSC. This provides base for future research in the field of lead-free PSC.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 16

Abstract

The era of new generation photovoltaics has captivated by the halide perovskites since their first execution, which was just a decade back. In spite of having the exceptional performance, the toxic nature of lead presents severe concerns for their commercialization and risks associated with human health and environment. Comparative analysis and modelling of solar cell with different absorber layers will supplement the current research progress in the field of perovskite solar cell (PSC). In this work, impact of five different perovskites: FASnI3, MASnI3, CsSnI3, CsSnCl3, and MAGeI3 as absorbing material was investigated and CsSnI3 was found to be most efficient among all with maximum power conversion efficiency (PCE). The structure used for inspection is Au/CuI/Perovskite/PCBM/TCO. In the proposed structure the effect of varying absorber layer thickness (AT), defect density and dopant concentration are analyzed. Total defect density (Nt) of HTL/perovskite and perovskite/ETL interface was also varied to investigate its effect on a PSC. This provides base for future research in the field of lead-free PSC.

查看原文本刊更多论文

锡基平面钙钛矿太阳能电池性能对比分析与建模

自卤化物钙钛矿首次使用以来，新一代光伏时代就被其所吸引，这只是十年前的事情。尽管铅具有优异的性能，但其毒性使人们对其商业化以及与人类健康和环境有关的风险感到严重关切。对不同吸收层的太阳能电池进行对比分析和建模，将补充当前钙钛矿太阳能电池(PSC)领域的研究进展。本文研究了FASnI3、MASnI3、CsSnI3、CsSnCl3和MAGeI3五种钙钛矿作为吸波材料的影响，发现CsSnI3吸波效率最高，具有最大的功率转换效率(PCE)。用于检测的结构为Au/CuI/钙钛矿/PCBM/TCO。分析了不同吸收层厚度、缺陷密度和掺杂浓度对结构的影响。通过改变HTL/钙钛矿和钙钛矿/ETL界面的总缺陷密度(Nt)来研究其对PSC的影响。这为今后无铅PSC领域的研究奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)

自引率

0.00%

发文量