Fernández, J, Marín, P, Díez, FV et al. (1 more author) (2015) Experimental demonstration and modeling of an adsorption-enhanced reverse flow reactor for the catalytic combustion of coal mine ventilation air methane. Chemical Engineering Journal, 279. pp. 198-206. ISSN 1385-8947
Abstract
Ventilation air methane is a major contributor to the carbon footprint of the coal mining industry. This contribution can be mitigated by combustion of methane to carbon dioxide. The use of efficient combustion devices, such as catalytic reverse flow reactors, can improve the economy of the process. However, the high water content of the ventilation air can inhibit catalysts (such as palladium) used in this process. The overcome this issue a novel reverse flow reactor with integrated separation, capable of adsorbing water from the feed before reaching the catalyst, is studied. The adsorbent is regenerated in situ thanks to the characteristic thermal pattern of reverse flow reactors. The application of this reactor design to the combustion of ventilation air methane has been demonstrated in a bench-scale device, operated at 0.15 m/s (n.t.p.) superficial velocity and different methane concentrations (1800–5400 ppm) and switching times (100–600 s). A mathematical model for this reactor has been proposed, the water adsorption parameters have been determined experimentally, and the model has been validated by comparison to bench-scale experimental results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Elsevier B.V. This is an author produced version of a paper published in Chemical Engineering Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Adsorption; Water inhibition; Monolithic catalyst; Regenerative catalytic oxidation; Chromatographic reactor |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Feb 2018 15:50 |
Last Modified: | 24 Mar 2018 21:36 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.cej.2015.04.096 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124480 |
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