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Cited by 656

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Highly efficient dye-sensitized solar cells: progress and future challenges

Zhang, Shufang, Yang, Xudong, Numata, Youhei, Han, Liyuan·2013·Energy & Environmental Science

Abstract

High energy conversion efficiency is one of the most important keys to the commercialization of dye-sensitized solar cells (DSCs) in the huge electricity generation market. According to our experience in the persistent efforts that helped to achieve high efficiency DSCs, we selectively review the major progress of improving the energy conversion efficiency of DSCs which may be useful for future applications. We start the discussion from modelling the device by macroscopic equivalent circuit and then highlight some approaches to improve the device performance, such as the molecular engineering of novel dye sensitizers and light trapping effect, tuning the potential of redox shuttles and surface passivation of photoelectrodes, and optimizing the resistance. Finally, we illustrate a roadmap of possible future directions of DSCs with the challenges of how to further improve the efficiency to accelerate the progress in the commercialization of DSCs.

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Metadata

Authors
Zhang, S., Yang, X., Numata, Y., & Han, L.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
5
Pages
1443
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W1974952124
Cited by
656
References
1
FWCI
36.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Highly efficient dye-sensitized solar cells: progress and future challenges. https://app.cochat.ai/papers/10.1039/c3ee24453a
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Zhang, S., Yang, X., Numata, Y., & Han, L. (2013). Highly efficient dye-sensitized solar cells: progress and future challenges. Energy & Environmental Science. https://doi.org/10.1039/c3ee24453a

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.