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Model Reduction in the Design of Alkaline Methanol Fuel Cells

 
: Clees, Tanja; Klaassen, Bernhard; Nikitin, Igor; Nikitina, Lialia; Pott, Sabine; Krewer, Ulrike; Haisch, Theresa

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Volltext (PDF; )

Rückemann, Claus-Peter ; International Academy, Research, and Industry Association -IARIA-:
INFOCOMP 2019, the Ninth International Conference on Advanced Communications and Computation : July 28-August 2, 2019, Nice, France
Nice: IARIA, 2019
ISBN: 978-1-61208-732-0
S.21-22
International Conference on Advanced Communications and Computation (INFOCOMP) <9, 2019, Nice>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
0324019A; MathEnergy
Mathematical Key Technologies for Evolving Energy Grids
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer SCAI ()
modeling of complex systems; observational data and simulations; advanced applications; mathematical chemistry

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.

: http://publica.fraunhofer.de/dokumente/N-569475.html