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  4. Model Reduction in the Design of Alkaline Methanol Fuel Cells
 
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2019
Conference Paper
Titel

Model Reduction in the Design of Alkaline Methanol Fuel Cells

Abstract
In this paper, 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 into a system of Differential-Algebraic Equations (DAE). We measure the precision characteristics of such transformation and discuss the consequences of the obtained model reduction.
Author(s)
Clees, Tanja orcid-logo
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Klaassen, Bernhard
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Nikitin, Igor
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Nikitina, Lialia
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Pott, Sabine
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Krewer, Ulrike
Institute of Energy and Process Systems Engineering, TU Braunschweig
Haisch, Theresa
Institute of Energy and Process Systems Engineering, TU Braunschweig
Hauptwerk
INFOCOMP 2019, the Ninth International Conference on Advanced Communications and Computation
Project(s)
MathEnergy
Funder
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Konferenz
International Conference on Advanced Communications and Computation (INFOCOMP) 2019
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Language
English
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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
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