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https://hdl.handle.net/20.500.14279/23782
Title: | Continuous flow aerobic oxidation of benzyl alcohol on Ru/Al2O3 catalyst in a flat membrane microchannel reactor: An experimental and modelling study | Authors: | Wu, Gaowei Cao, Enhong Ellis, Peter Constantinou, Achilleas Kuhn, Simon Gavriilidis, Asterios |
Major Field of Science: | Natural Sciences | Field Category: | Chemical Sciences | Keywords: | Ruthenium catalyst;Alcohol aerobic oxidation;Teflon AF-2400 membrane;Membrane reactor modelling | Issue Date: | 29-Jun-2019 | Source: | Chemical Engineering Science, 2019, vol. 201, pp. 386-396 | Volume: | 201 | Start page: | 386 | End page: | 396 | Journal: | Chemical Engineering Science | Abstract: | A flat Teflon AF-2400 membrane microchannel reactor was experimentally and theoretically investigated for aerobic oxidation of benzyl alcohol on a 5 wt% Ru/Al2O3 catalyst. The reactor consisted of gas and liquid channels (75 mm (L) × 3 mm (W) × 1 mm (D)), separated by a 0.07 mm thick semipermeable Teflon AF-2400 flat membrane, which allowed continuous supply of oxygen during the reaction and simultaneously avoided direct mixing of gaseous oxygen with organic reactants. A catalyst stability test was first carried out, and the experimental data obtained were used to estimate the kinetics of benzyl alcohol oxidation with a 2D reactor model. Using these kinetics, predictions from the 2D reactor model agreed well with the experimental data obtained at different liquid flow rates and oxygen pressures. The mass transfer and catalytic reaction in the membrane microchannel reactor were then theoretically studied by changing the membrane thickness, the liquid channel depth, and the reaction rate coefficient. Oxygen transverse mass transport in the catalyst bed was found to be the controlling process for the system investigated, and decreasing the liquid channel depth is suggested to improve the oxygen supply and enhance the benzyl alcohol conversion in the membrane reactor. | URI: | https://hdl.handle.net/20.500.14279/23782 | ISSN: | 00092509 | DOI: | 10.1016/j.ces.2019.02.015 | Rights: | © Elsevier | Type: | Article | Affiliation : | London South Bank University KU Leuven |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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