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Solar thermochemical splitting of CO 2 into separate streams of CO and O 2 with high selectivity, stability, conversion, and efficiency
Developing solar technologies for converting CO 2 into fuels has become a great energy challenge, as it closes the anthropogenic carbon cycle and leads to the production of sustainable transportation fuels on a global scale. However, the low mass conversion, poor selectivity, and/or low energy effic...
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Published in: | Energy & environmental science 2017, Vol.10 (5), p.1142-1149 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Developing solar technologies for converting CO
2
into fuels has become a great energy challenge, as it closes the anthropogenic carbon cycle and leads to the production of sustainable transportation fuels on a global scale. However, the low mass conversion, poor selectivity, and/or low energy efficiency of current approaches have hindered their industrial implementation. Here, we experimentally demonstrate the solar-driven thermochemical splitting of CO
2
into separate streams of CO and O
2
with 100% selectivity, 83% molar conversion, and 5.25% solar-to-fuel energy efficiency. This benchmark performance was accomplished using a 4 kW solar reactor featuring a reticulated porous structure, made of ceria, directly exposed to 3000× flux irradiation and undergoing redox cycling
via
temperature/pressure-swing operation. The dual-scale interconnected porosity (mm and μm-sized pores) of the ceria structure provided volumetric radiative absorption and enhanced heat/mass transport for rapid redox kinetics, while 500 consecutive redox cycles further validated material stability and structure robustness. A detailed energy balance elucidates viable paths for achieving higher efficiencies and for large-scale industrial implementation using an array of modular solar reactors integrated into the established solar concentrating infrastructure. |
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ISSN: | 1754-5692 1754-5706 |
DOI: | 10.1039/C6EE03776C |