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Comparative Study on Electrochemical and Thermochemical Pathways for Carbonaceous Fuel Generation Using Sunlight and Air

Xu, Da and Sullivan, Ian and Xiang, Chengxiang and Lin, Meng (2022) Comparative Study on Electrochemical and Thermochemical Pathways for Carbonaceous Fuel Generation Using Sunlight and Air. ACS Sustainable Chemistry & Engineering, 10 (42). pp. 13945-13954. ISSN 2168-0485. doi:10.1021/acssuschemeng.2c03230.

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A comparative study on the solar-to-fuel (STF) conversion efficiency of electrochemical and thermochemical approaches for methane (CH₄), methanol (MeOH), and ethanol (EtOH) generation using sunlight and air was performed. The system level STF conversion efficiency studied herein took into account of both the conversion processes and feedstock capture processes. In particular, the feedstock, CO₂ and H₂O, in this analysis were assumed to be captured from air. For thermochemical conversion, one and two-step approaches were considered including CH₄ generation from the Sabatier reaction, and two-step processes for methanol (MeOH) and ethanol (EtOH) generation from CO and H₂ coupled with the reverse water gas shift reaction (rWGS). State-of-the-art electrochemical and hybrid electrochemical-thermochemical processes for CH₄, MeOH and EtOH generation, and the corresponding system level STF conversion efficiency were then compared and contrasted to the thermochemical approaches. Target overpotentials and Faradaic efficiency (FE) for the electrochemical CO₂ reduction reactions was also presented to compete with thermochemical approaches at different operating scenarios.

Item Type:Article
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URLURL TypeDescription
Sullivan, Ian0000-0003-0632-4607
Xiang, Chengxiang0000-0002-1698-6754
Lin, Meng0000-0001-7785-749X
Additional Information:This material is based on work performed by the Liquid Sunlight Alliance, which is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, and Fuels from Sunlight Hub under Award Number DE-SC0021266. M.L. and D.X. acknowledge the support by the National Natural Science Foundation of China under Grant No. 52006097. The computation in this work is supported by Center for Computational Science and Engineering at Southern University of Science and Technology.
Group:Liquid Sunlight Alliance
Funding AgencyGrant Number
National Natural Science Foundation of China52006097
Department of Energy (DOE)DE-SC0021266
Issue or Number:42
Record Number:CaltechAUTHORS:20221031-575730600.41
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117673
Deposited By: Research Services Depository
Deposited On:08 Nov 2022 17:59
Last Modified:08 Nov 2022 17:59

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