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Model Reduction in the Design of Alkaline Methanol Fuel Cells

  • It is shown that the electrochemical kinetics of alkaline methanol oxidation can be reduced by setting certain fast reactions contained in it to a steady state. As a result, the underlying system of Ordinary Differential Equations (ODE) is transformed to a system of Differential-Algebraic Equations (DAE). We measure the precision characteristics of such transformation and discuss the consequences of the obtained model reduction.

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Metadaten
Document Type:Conference Object
Language:English
Author:Tanja Clees, Bernhard Klaassen, Igor Nikitin, Lialia Nikitina, Sabine Pott, Ulrike Krewer, Theresa Haisch
Parent Title (English):Rückemann, Doytsher et al. (Hg.): INFOCOMP 2019, The Ninth International Conference on Advanced Communications and Computation, Nice, France, July 28 - August 2, 2019
First Page:21
Last Page:22
ISBN:978-1-61208-732-0
URL:https://thinkmind.org/index.php?view=article&articleid=infocomp_2019_2_20_68002
Publisher:ThinkMind
Date of first publication:2019/07/28
Copyright:Copyright (c) IARIA, 2019
Keyword:advanced applications; mathematical chemistry; modeling of complex systems; observational data and simulations
Departments, institutes and facilities:Fachbereich Ingenieurwissenschaften und Kommunikation
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Entry in this database:2019/11/06