详细信息
Quantum dot sensitized solar cells with efficiency up to 8.7% based on heavily copper-deficient copper selenide counter electrode ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Quantum dot sensitized solar cells with efficiency up to 8.7% based on heavily copper-deficient copper selenide counter electrode
作者:Zhang, Hua[1];Wang, Cong[1];Peng, Wenxiang[1];Yang, Cheng[1];Zhong, Xinhua[1]
机构:[1]E China Univ Sci & Technol, Inst Appl Chem, Shanghai Key Lab Funct Mat Chem, Key Lab Adv Mat, Shanghai 200237, Peoples R China
年份:2016
卷号:23
起止页码:60
外文期刊名:NANO ENERGY
收录:;EI(收录号:20161202139998);WOS:【SCI-EXPANDED(收录号:WOS:000375045900008)】;
基金:This work was supported by National Natural Science Foundation of China (21175043, 91233102, and 21421004) and the Fundamental Research Funds for the Central Universities (222201313005) for financial support.
语种:英文
外文关键词:CuxSe; Counter electrode; High efficiency; Sensitized solar cell; Copper deficiency
摘要:Semiconductors such as sulfides have been commonly used as counter electrodes (CEs) in quantum dot sensitized solar cells (QDSCs) with high stability and catalytic activity. But the intrinsic unsatisfactory conductivity has been making researchers find alternative materials for further improving the efficiency. Here nanometer sized copper selenides substrated on F-doped SnO2 (CuxSe/FTO) are used as CE in the construction of QDSCs. Through optimizing the composition and structure variables of the CE materials, including Cu/Se ratio, film thickness, sintering temperature and time, we achieve the power conversion efficiencies up to 6.49% and 8.72% for CdSe and CdSeTe based QDSCs, respectively. Our results show that the excellent photovoltaic performance is strongly associated with the low Cu/Se molar ratio in the range of 1.20-1.38, suggesting the heavily deficient copper in CuxSe. The resultant good conductivity and electrochemical catalytic activity of the CuxSe/FTO CE have been verified by the electrochemical impedance spectroscopy, Tafel polarization and four-probe measurement results. (C) 2016 Elsevier Ltd. All rights reserved.
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