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Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior

Quaglio, M; Bezzo, F; Gavriilidis, A; Cao, E; Al-Rifai, N; Galvanin, F; (2019) Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior. AIChE Journal , 65 (10) , Article e16707. 10.1002/aic.16707. Green open access

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Abstract

Catalytic oxidation of methanol to formaldehyde is an important industrial process due to the value of formaldehyde either as a final product or as a precursor of numerous chemicals. The study of kinetics in this system is hindered by sources of uncertainty that are inherently associated to the nature and state of the catalyst (e.g., uncertain reactivity level, deactivation phenomena), the measurement system and the structure of the kinetic model equations. In this work, a simplified kinetic model is identified from data collected from continuous flow microreactor systems where catalysts with assorted levels of reactivity are employed. Tailored model-based data mining methods are proposed and applied for the effective estimation of the kinetic parameters and for identifying robust experimental conditions to be exploited for the kinetic characterization of catalysts with different reactivity, whose kinetic behavior is yet to be investigated.

Type: Article
Title: Identification of kinetic models of methanol oxidation on silver in the presence of uncertain catalyst behavior
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/aic.16707
Publisher version: https://doi.org/10.1002/aic.16707
Language: English
Additional information: © 2019 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: data mining, information, parameter estimation, reactivity, uncertainty
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10077225
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