The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
Water Splitting Progress in Tandem Devices: Moving Photolysis beyond Electrolysis
Abstract
Water photolysis is a sustainable technology to convert natural solar energy and water into chemical fuels and is thus considered a thorough solution to the forthcoming energy crises. Unassisted water splitting that could directly harvest solar light and subsequently split water in a single device has become an important research theme. Three types of tandem devices including photoelectrochemical (PEC), photovoltaic (PV) cell/PEC and PV/electrolyser tandem cells are proposed to realize water photolysis at different levels of integration and component. Recent progress in tandem water splitting devices is summarized, and crucial issues on device optimization from the perspective of each photo‐absorber functionalities in band edge potential, light absorptivity and transmittance are discussed. By increasing the performances of stand‐alone PEC or PV devices, a 20% solar to hydrogen efficiency is predicted that is a significant value towards further application in practice. Accordingly, the challenges for materials development and configuration optimization are further outlined.
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Cites
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Cited by
New-generation integrated devices based on dye-sensitized and perovskite solar cells
Yun, S., Qin, Y., Uhl, A. R., Vlachopoulos, N., Yin, M., Li, D., Han, X., & Hagfeldt, A. (2018) · Energy & Environmental Science · doi:10.1039/c7ee03165c · Cited by 478
Tan, H. L., Amal, R., & Ng, Y. H. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta04441k · Cited by 459
Metadata
- Authors
- Zhang, K., Ma, M., Li, P., Wang, D. H., & Park, J. H.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2016-06-10
- Volume
- 6
- Issue
- 15
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2416639005
- Cited by
- 312
- References
- 124
- FWCI
- 10.99
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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