Suppr超能文献

效率达 20%的多晶 Cd(Se,Te) 薄膜太阳能电池,前结附近存在组成梯度。

20%-efficient polycrystalline Cd(Se,Te) thin-film solar cells with compositional gradient near the front junction.

机构信息

Department of Physics and Astronomy, and Wright Center for Photovoltaics Innovation and Commercialization, University of Toledo, Toledo, OH, 43606, USA.

Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.

出版信息

Nat Commun. 2022 Dec 21;13(1):7849. doi: 10.1038/s41467-022-35442-8.

Abstract

Bandgap gradient is a proven approach for improving the open-circuit voltages (Vs) in Cu(In,Ga)Se and Cu(Zn,Sn)Se thin-film solar cells, but has not been realized in Cd(Se,Te) thin-film solar cells, a leading thin-film solar cell technology in the photovoltaic market. Here, we demonstrate the realization of a bandgap gradient in Cd(Se,Te) thin-film solar cells by introducing a Cd(O,S,Se,Te) region with the same crystal structure of the absorber near the front junction. The formation of such a region is enabled by incorporating oxygenated CdS and CdSe layers. We show that the introduction of the bandgap gradient reduces the hole density in the front junction region and introduces a small spike in the band alignment between this and the absorber regions, effectively suppressing the nonradiative recombination therein and leading to improved Vs in Cd(Se,Te) solar cells using commercial SnO buffers. A champion device achieves an efficiency of 20.03% with a V of 0.863 V.

摘要

带隙梯度是提高铜铟镓硒(Cu(In,Ga)Se)和铜锌锡硒(Cu(Zn,Sn)Se)薄膜太阳能电池开路电压(Vs)的一种经过验证的方法,但尚未在碲化镉(Cd(Se,Te))薄膜太阳能电池中实现,后者是光伏市场中领先的薄膜太阳能电池技术。在这里,我们通过在靠近前结的位置引入具有与吸收体相同晶体结构的 Cd(O,S,Se,Te) 区域,在 Cd(Se,Te) 薄膜太阳能电池中实现了带隙梯度。通过掺入含氧的 CdS 和 CdSe 层,可以形成这样的区域。我们表明,引入带隙梯度可以降低前结区域中的空穴密度,并在该区域与吸收体区域之间引入一个小的能带对齐尖峰,从而有效抑制其中的非辐射复合,从而提高使用商业 SnO 缓冲层的 Cd(Se,Te) 太阳能电池的 Vs。一个冠军器件实现了 20.03%的效率和 0.863 V 的 V。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3229/9772316/0626c8fbdf83/41467_2022_35442_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验