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Cited by 199

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A review on photo-thermal catalytic conversion of carbon dioxide

Open access
Kho, Ee Teng, Tan, Tze Hao, Lovell, Emma, Wong, Roong Jien, Scott, Jason, Amal, Rose·2017·Green Energy & Environment

Abstract

The conversion of carbon dioxide into value-added products is of great industrial and environmental interest. However, as carbon dioxide is relatively stable, the input energy required for this conversion is a significant limiting factor in the system's performance. By utilising energy from the sun, through a range of key routes, this limitation can be overcome. In this review, we present a comprehensive and critical overview of the potential routes to harvest the sun's energy, primarily through solar-thermal technologies and plasmonic resonance effects. Focusing on the localised heating approach, this review shortlists and compares viable catalysts for the photo-thermal catalytic conversion of carbon dioxide. Further, the pathways and potential products of different carbon dioxide conversion routes are outlined with the reverse water gas shift, methanation, and methanol synthesis being of key interest. Finally, the challenges in implementing such systems and the outlook to the future are detailed. Energy-harvesting from the sun via concentrated solar irradiation or localised plasmonic heating for catalytic conversion of carbon dioxide

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Metadata

Authors
Kho, E. T., Tan, T. H., Lovell, E., Wong, R. J., Scott, J., & Amal, R.
Venue
Green Energy & Environment
Publisher
Elsevier BV
Published
2017-07
Volume
2
Issue
3
Pages
204-217
ISSN
  • 2096-2797 (ISSN-L)
  • 2468-0257
OpenAlex
W2624233488
Cited by
199
References
1
FWCI
5.07
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: A review on photo-thermal catalytic conversion of carbon dioxide. https://app.cochat.ai/papers/10.1016/j.gee.2017.06.003
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Kho, E. T., Tan, T. H., Lovell, E., Wong, R. J., Scott, J., & Amal, R. (2017). A review on photo-thermal catalytic conversion of carbon dioxide. Green Energy & Environment. https://doi.org/10.1016/j.gee.2017.06.003

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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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