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Frontiers of Chemical Science and Engineering

2021, Volume 15,  Issue 1, Pages 208-219
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    Electrolytic cell engineering and device optimization for electrosynthesis of e-biofuels via co-valorisation of bio-feedstocks and captured CO

    . Department of Chemical Engineering, Loughborough University, Loughborough, LE11 3TU, UK.. Department of Chemistry, Loughborough University, Loughborough, LE11 3TU, UK.. Department of Chemical Engineering, Worcester Polytechnic Institute, Worcester MA 01609-2280, USA.. Department of Accountancy, Economics and Finance, Heriot-Watt University, Edinburgh, EH14 4AS, UK

    Accepted: 2020-07-13 Available online:2020-07-13
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    10.1007/s11705-020-1945-6
    Cite this article
    Faraz Montazersadgh, Hao Zhang, Anas Alkayal, Benjamin Buckley, Ben W. Kolosz, Bing Xu, Jin Xuan.Electrolytic cell engineering and device optimization for electrosynthesis of e-biofuels via co-valorisation of bio-feedstocks and captured CO[J].Frontiers of Chemical Science and Engineering,2021,15(1):208-219.

    Abstract

    Utilizing CO in an electro-chemical process and synthesizing value-added chemicals are amongst the few viable and scalable pathways in carbon capture and utilization technologies. CO electro-reduction is also counted as one of the main options entailing less fossil fuel consumption and as a future electrical energy storage strategy. The current study aims at developing a new electrochemical platform to produce low-carbon e-biofuel through multifunctional electrosynthesis and integrated co-valorisation of biomass feedstocks with captured CO . In this approach, CO is reduced at the cathode to produce drop-in fuels (e.g., methanol) while value-added chemicals (e.g., selective oxidation of alcohols, aldehydes, carboxylic acids and amines/amides) are produced at the anode. In this work, a numerical model of a continuous-flow design considering various anodic and cathodic reactions was built to determine the most techno-economically feasible configurations from the aspects of energy efficiency, environment impact and economical values. The reactor design was then optimized via parametric analysis.

    Keywords

    electrosynthesis ; e-biofuels ; CO2 utilization ; computational model
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