Journal
CHEMICAL ENGINEERING JOURNAL
Volume 405, Issue -, Pages -Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2020.126965
Keywords
CO2 electroreduction; Formate; Bismuth electrocatalysts; Gas Diffusion Electrode (GDE); Membrane electrode assembly (MEA); Electrochemical filter press reactor
Categories
Funding
- MINECO [CTQ2016-76231-C2-1R, CTQ2016-76231-C2-2-R]
- VITC (Vicerrectorado de Investigacion y Transferencia de Conocimiento) of the University of Alicante [UTALENTO16-02]
Ask authors/readers for more resources
The study presented a process for electrocatalytic reduction of CO2 to formate in a continuous manner, using Bi carbon-supported nanoparticles. The process showed high HCOO- concentration, Faradaic Efficiency, and energy efficiency, making it a promising approach for future industrial implementation.
The electrochemical conversion of CO2 is gaining increasing attention because it could be considered as an appealing strategy for making value-added products at mild conditions from CO2 captured. In this work, we report a process for the electrocatalytic reduction of CO2 to formate (HCOO-) operating in a continuous way, employing a single pass of the reactants through the electrochemical reactor and using Bi carbon supported nanoparticles in the form of a membrane electrode assembly composed by a Gas Diffusion Electrode, a current collector and a cationic exchange membrane. This contribution presents the best trade-off between HCOO- concentration, Faradaic Efficiency and energy consumption in the literature. We also show noteworthy values of energy consumption required of only 180 kWh.kmol(-1) of HCOO-, lower than previous approaches, working at current densities that allow achieving formate concentration higher than 300 g.L-1 and simultaneously, a Faradaic Efficiency close to 90%. The results here displayed make the electrochemical approach closer for future implementation at the industrial scale.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available