| Issue |
E3S Web Conf.
Volume 643, 2025
2025 7th International Conference on Environmental Sciences and Renewable Energy (ESRE 2025)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 8 | |
| Section | Carbon Emission Prediction and Carbon Reduction Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202564302003 | |
| Published online | 29 August 2025 | |
Impact of Microchannel Reactor Design on Ethanol Synthesis via CO2 Hydrogenation: A CFD Approach
1 School of Graduate Studies, Mapúa University, Intramuros, Manila, Philippines
2 School of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Intramuros, Manila, Philippines
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Computational fluid dynamics (CFD) was used to investigate the impact of reactor geometry on ethanol synthesis via carbon dioxide hydrogenation in a microchannel reactor with integrated cooling channel. CFD modelling was used to construct and test various reactor geometries of varying channel height, channel length, and solid wall thickness to evaluate the potential benefits of microchannel reactors for carbon dioxide hydrogenation processes. Modifications to reactor geometry produced notable improvements in CO2 conversion. Reducing the channel height and extending the channel length led to a 7.72% increase for a change of 3×10-4 m in channel height and an 8.14% increase for a 0.10 m change in channel length. Moreover, alterations in solid wall thickness exhibited minimal impact on CO2 conversion but demonstrated a more pronounced effect on heat transfer efficiency between channels. This enhancement in heat transfer would be advantageous in dissipating the heat generated by the exothermic hydrogenation process. These findings suggest that the development of reactor geometry could improve the efficiency of CO2 hydrogenation to EtOH.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

