Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23096
Title: Modelling of packed bed and coated wall microreactors for methanol steam reforming for hydrogen production
Authors: Hafeez, Sanaa 
Aristodemou, Elsa 
Manos, George 
Al-Salem, Sultan M. 
Constantinou, Achilleas 
Major Field of Science: Natural Sciences
Field Category: Chemical Sciences
Keywords: Catalysts;Chemical reactors;Computational fluid dynamics;Copper oxides;Hydrogen production;Mass transfer;Methanol;Packed beds;Steam;Thickness measurement
Issue Date: 13-Nov-2020
Source: RSC Advances, 2020, vol. 10, no. 68, pp. 41680 - 41692
Volume: 10
Issue: 68
Start page: 41680
End page: 41692
Journal: RSC Advances 
Abstract: A Computational Fluid Dynamics (CFD) study has been conducted to assess the performance of packed bed and coated wall microreactors for the steam reforming of methanol with a CuO/ZnO/Al2O3 based catalyst (BASF F3-01). The results obtained were compared to experimental data from the literature to assess the validity and robustness of the models, and a good validation has been obtained. The performance of the packed bed and coated wall microreactors is similar at a constant reforming temperature. It was found that methanol conversion is enhanced with increasing temperature, residence time, steam to methanol ratio, and catalyst coating thickness. Furthermore, internal and external mass transfer phenomena were investigated using the models, and it was found that there were no internal and external mass transfer resistances for this reactor configuration. Further studies demonstrated that larger catalyst pellet sizes led to the presence of internal mass transfer resistance, which in turn causes lower methanol conversions. The CFD models have exhibited a sound agreement with the experimental data, hence they can be used to predict the steam reforming of methanol in microreactors.
URI: https://hdl.handle.net/20.500.14279/23096
ISSN: 20462069
DOI: 10.1039/d0ra06834a
Rights: Open Access Article. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Type: Article
Affiliation : London South Bank University 
University College London 
Kuwait Institute for Scientific Research 
Cyprus University of Technology 
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