Suppr超能文献

高效染料敏化太阳能电池的特性

Characteristics of high efficiency dye-sensitized solar cells.

作者信息

Wang Qing, Ito Seigo, Grätzel Michael, Fabregat-Santiago Francisco, Mora-Seró Iván, Bisquert Juan, Bessho Takeru, Imai Hachiro

机构信息

Laboratory for Photonics and Interfaces, Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

出版信息

J Phys Chem B. 2006 Dec 21;110(50):25210-21. doi: 10.1021/jp064256o.

Abstract

Impedance spectroscopy was applied to investigate the characteristics of dye-sensitized nanostructured TiO2 solar cells (DSC) with high efficiencies of light to electricity conversion of 11.1% and 10.2%. The different parameters, that is, chemical capacitance, steady-state transport resistance, transient diffusion coefficient, and charge-transfer (recombination) resistance, have been interpreted in a unified and consistent framework, in which an exponential distribution of the localized states in the TiO2 band gap plays a central role. The temperature variation of the chemical diffusion coefficient dependence on the Fermi-level position has been observed consistently with the standard multiple trapping model of electron transport in disordered semiconductors. A Tafel dependence of the recombination resistance dependence on bias potential has been rationalized in terms of the charge transfer from a distribution of surface states using the Marcus model of electron transfer. The current-potential curve of the solar cells has been independently constructed from the impedance parameters, allowing a separate analysis of the contribution of different resistive processes to the overall conversion efficiency.

摘要

采用阻抗谱研究了具有11.1%和10.2%的高光电转换效率的染料敏化纳米结构二氧化钛太阳能电池(DSC)的特性。不同的参数,即化学电容、稳态传输电阻、瞬态扩散系数和电荷转移(复合)电阻,已在一个统一且一致的框架中得到解释,其中二氧化钛带隙中局域态的指数分布起着核心作用。化学扩散系数对费米能级位置的温度依赖性已通过无序半导体中电子输运的标准多陷阱模型得到一致观测。复合电阻对偏置电位的塔菲尔依赖性已根据使用电子转移的马库斯模型从表面态分布进行的电荷转移得到合理解释。太阳能电池的电流-电位曲线已根据阻抗参数独立构建,从而能够对不同电阻过程对总转换效率的贡献进行单独分析。

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