Please use this identifier to cite or link to this item:
https://essuir.sumdu.edu.ua/handle/123456789/98334
Or use following links to share this resource in social networks:
Tweet
Recommend this item
Title | Electroreduction of carbon dioxide to formic acid using a BiSn nanoparticle catalyst and an ionic liquid electrolyte |
Authors |
Offong, A.C.
Shittu, A.A. |
ORCID | |
Keywords |
environmental protection water treatment acidification multiphysics microfluidic electrolytic cells reactor fouling electrochemical reduction clean energy |
Type | Article |
Date of Issue | 2025 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/98334 |
Publisher | Sumy State University |
License | Creative Commons Attribution - NonCommercial 4.0 International |
Citation | Offong A. C., Shittu A. A. (2025). Electroreduction of carbon dioxide to formic acid using a BiSn nanoparticle catalyst and an ionic liquid electrolyte. Journal of Engineering Sciences (Ukraine), Vol. 12(1), pp. H1–H9. https://doi.org/10.21272/jes.2025.12(1).h1 |
Abstract |
Climate change and ocean acidification pose significant global challenges due to rising atmospheric
CO2 levels, now nearing 424 ppm. Addressing this issue requires urgent solutions for CO2 mitigation.
Electrochemical reduction of CO2 presents a promising pathway for CO2 conversion. Microfluidic electrolytic cells
(MECs) offer advantages in mitigating reactor fouling and flooding. However, scaling up CO2 electroreduction to
formic acid using MECs, particularly with 1-ethyl-3-methylimidazolium tetrafluoroborate [emim][BF4] as an ionic
liquid electrolyte and Bi-Sn as a catalyst, remains underexplored. This study develops a scaled-up, steady-state
numerical model for CO2 reduction to formic acid in MECs, employing a 70 % v/v [emim][BF4] electrolyte and a BiSn catalyst at a 0.9:0.1 ratio. Key findings include achieving a current density of 275.8 mA/cm², a Faradaic efficiency
of 89 %, and a CO2 conversion rate of 39.6 % at –16 V. These results underline the ionic liquid’s high CO2 solubility
and conductivity. The model was also scaled to an n-cell stack using COMSOL Multiphysics, revealing a 2.2 %
relative error between unit cell and stack configurations. This study demonstrates the feasibility of scaling MECs for
efficient CO2 reduction. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
Views

2
Downloads
Files
File | Size | Format | Downloads |
---|---|---|---|
Offong_jes_1_2025.pdf | 1.02 MB | Adobe PDF | 0 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.