journal article·2025-12-12

Unraveling Hybrid Energy Pathways for Solar-Driven CO 2 Reduction toward Efficient Fuel Production

Lei Zhao, Yuzhu Chen, Da Xu, Runsen Wang, Shuai Deng, Meng Lin

ACS Energy Letters· Volume 10· Issue 12
Publisher page

Abstract

Efficient solar-to-fuel conversion demands the integration of multiple energy inputs to overcome the thermodynamic barrier for CO 2 reduction. Here, we develop and validate a unified modeling framework for a solar-driven membrane reactor that couples thermal, electrical, and mechanical driving forces within a solid oxide electrolysis cell (SOEC)-type configuration. The model is benchmarked against experimental polarization data over a wide range of temperatures and oxygen partial pressures, showing agreement within ±5%. Mapping this hybrid operating space identifies an optimal window (1473–1673 K, p O 2 > 10 –2 atm) that achieves peak solar-to-fuel efficiency of 30.4%. While higher temperatures reduce voltage requirements, radiative and enthalpy penalties dominate at elevated temperature. The analysis quantifies trade-offs associated with the operating voltage, gas separation work, and mass transport limitations. These findings define practical efficiency limits and offer experimentally grounded design principles for scalable, high-performance solar fuel systems enabled by hybrid energy pathways.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advancements in Solid Oxide Fuel Cells · Chemical Looping and Thermochemical Processes · CO2 Reduction Techniques and Catalysts

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical and Energy Engineering

Southern University of Science and Technology

SUSTech Energy Institute for Carbon Neutrality

State Key Laboratory of Engines

Tianjin University

Funding

National Key Research and Development Program of China · Government of Guangdong Province · Basic and Applied Basic Research Foundation of Guangdong Province · Southern University of Science and Technology · National Natural Science Foundation of China · Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems · Guangdong Major Project of Basic Research

References (44)

Show source-provided references
1. 10.1038/s41586-021-04174-y10.1038/s41586-021-04174-y ↗
2. 10.1021/acsenergylett.1c0075810.1021/acsenergylett.1c00758 ↗
3. 10.1038/s41560-025-01714-y10.1038/s41560-025-01714-y ↗
4. 10.1016/j.ijhydene.2022.08.29710.1016/j.ijhydene.2022.08.297 ↗
5. 10.1039/C8RE00218E10.1039/C8RE00218E ↗
6. 10.1016/j.cej.2023.14503310.1016/j.cej.2023.145033 ↗
7. 10.1021/acsenergylett.1c0281610.1021/acsenergylett.1c02816 ↗
8. 10.1021/acs.chemrev.7b0043510.1021/acs.chemrev.7b00435 ↗
9. 10.1126/science.aav350610.1126/science.aav3506 ↗
10. 10.1016/j.ces.2015.05.05610.1016/j.ces.2015.05.056 ↗
11. 10.1039/C4CS00194J10.1039/C4CS00194J ↗
12. 10.1021/ef400132d10.1021/ef400132d ↗
13. 10.1016/j.solener.2003.12.01210.1016/j.solener.2003.12.012 ↗
14. 10.1126/science.119783410.1126/science.1197834 ↗
15. 10.1039/C6EE03776C10.1039/C6EE03776C ↗
16. 10.1016/j.jpowsour.2018.08.00910.1016/j.jpowsour.2018.08.009 ↗
17. 10.1016/j.xcrp.2022.10115610.1016/j.xcrp.2022.101156 ↗
18. 10.1016/j.ijhydene.2007.03.00110.1016/j.ijhydene.2007.03.001 ↗
19. 10.1016/j.joule.2017.07.01510.1016/j.joule.2017.07.015 ↗
20. 10.1016/j.memsci.2021.11938710.1016/j.memsci.2021.119387 ↗
21. 10.1038/nmat458910.1038/nmat4589 ↗
22. 10.1039/D1EE02714J10.1039/D1EE02714J ↗
23. 10.1016/j.ijheatmasstransfer.2024.12574210.1016/j.ijheatmasstransfer.2024.125742 ↗
24. 10.1016/j.enconman.2025.11982110.1016/j.enconman.2025.119821 ↗
25. 10.1016/j.ijhydene.2020.03.14410.1016/j.ijhydene.2020.03.144 ↗
26. 10.1039/C4EE01958J10.1039/C4EE01958J ↗
27. 10.1016/j.joule.2022.07.01310.1016/j.joule.2022.07.013 ↗
28. 10.1016/j.joule.2020.12.01410.1016/j.joule.2020.12.014 ↗
29. 10.1021/acs.iecr.7b0351410.1021/acs.iecr.7b03514 ↗
30. 10.1016/j.enconman.2024.11812910.1016/j.enconman.2024.118129 ↗
31. 10.1016/j.apenergy.2018.09.18610.1016/j.apenergy.2018.09.186 ↗
32. 10.1016/j.ijhydene.2007.04.04210.1016/j.ijhydene.2007.04.042 ↗
33. 10.1007/s41918-025-00246-z10.1007/s41918-025-00246-z ↗
34. 10.1039/C1EE02620H10.1039/C1EE02620H ↗
35. 10.1039/C6CS00066E10.1039/C6CS00066E ↗
36. 10.1016/j.jcou.2016.12.00910.1016/j.jcou.2016.12.009 ↗
37. 10.1038/nature1213410.1038/nature12134 ↗
38. 10.1021/acs.energyfuels.8b0208210.1021/acs.energyfuels.8b02082 ↗
39. 10.1016/j.egyr.2022.10.12710.1016/j.egyr.2022.10.127 ↗
40. 10.1002/adma.20190203310.1002/adma.201902033 ↗
41. 10.1016/j.pecs.2019.10078510.1016/j.pecs.2019.100785 ↗
42. 10.1002/pip.383110.1002/pip.3831 ↗
43. 10.1016/j.rser.2018.04.09710.1016/j.rser.2018.04.097 ↗
44. 10.1016/j.pmatsci.2025.10152010.1016/j.pmatsci.2025.101520 ↗