量子点敏化太阳能电池_新材料的设计_制备及器件研究

李冬梅，罗艳红，孟庆波*

中国科学院物理研究所，清洁能源前沿研究院重点实验室，北京，100190，E-mail: qbmeng@iphy.ac.cn 量子点敏化太阳能电池（QDSC）是染料敏化太阳能电池（DSC）的重要发展方向，近年来受到人们的广泛关注。不同于传统的有机或配合物染料，量子点具有带隙可调、制备简单、消光系数高等优点，特别是多激子效应可以使得量子点电池的效率高达44%[1]。但是，QDSCs电池的光电转换效率目前还远低于传统DSC电池，因此，为了获得高性能QDSC电池器件，必须对电池关键材料进行协同优化。我们研究组近年来致力于QDSC电池关键材料的设计、制备和新结构的探索，如通过设计新颖的光阳极结构和采用量子点原位沉积技术，QDSC电池的效率达到4.92%，为此类电池的最高效率之一[2]；系统研究了非铂对电极在QDSC电池中的应用，如发展了可丝印的Cu2S复合对电极等；首次制备了水凝胶电解质；发展了环境友好的CuInS2量子点电池等，受到国内外同行的关注[3-5]。本报告将系统介绍我们在该领域最新的研究进展。

关键词：量子点，敏化太阳能电池，环境友好， 参考文献

[1] Hanna M. C., Nozik A. J., J. Appl. Phys. 2006, 100: 074510.

[2] Zhang Q., Guo X., Huang X., Meng Q. et al, Phys. Chem. Chem. Phys. 2011, 13: 4659. [3] Yu Z., Qin D., Zhang Y., Sun H., Luo Y., Meng Q., Li D., Energy Environ. Sci. 2011, 4: 1298. [4] Huang X., Li D., Luo Y., Q. Meng et al, Chem. Commun. 2011, 47: 26.

[5] Sun H. C., Li D. M., Luo Y. H., Meng Q. B. et al, Energy Environ. Sci. 2011, 4: 2630.

Sensitized-Solar Cells: Material Optimization and Integration

Dongmei Li, Yanhong Luo, Qingbo Meng*

Renewable Energy Laboratory, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190,

E-mail: qbmeng@iphy.ac.cn

Quantum dot-sensitized solar cell (QDSC) has received widely attention because quantum dots (QDs) exhibit some attractive advantages, such as high extinction coefficients, ease of processing, tunable bandgaps simple by controlling the QDs sizes, low cost and so on [1]. Especially, the application of multiple exciton generation (MEG) into QD solar cells may potentially give about 44% of conversion efficiency. However, the cell performance of QDSCs is still lower than the conventional DSCs. Recenly, we have focused on the development of QDSCs, including new photoanodic materials and structures, different kinds of counter electrode materials and quasi-solid state electrolytes and so on [2-5]. Up to 4.92% of conversion efficiency has been achieved, which is one of the highest efficiency of QDSCs in the world. In this contribution, the recent development of QDSCs from materials to cell performance will be presented.