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.
Document Type: | Conference Object |
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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 |