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Model Reduction in the Design of Alkaline Methanol Fuel Cells

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

Keywords: modeling of complex systems; observational data and simulations; advanced applications; mathematical chemistry

Abstract:
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.

Pages: 21 to 22

Copyright: Copyright (c) IARIA, 2019

Publication date: July 28, 2019

Published in: conference

ISSN: 2308-3484

ISBN: 978-1-61208-732-0

Location: Nice, France

Dates: from July 28, 2019 to August 2, 2019