• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Model Reduction in the Design of Alkaline Methanol Fuel Cells
 
  • Details
  • Full
Options
2019
Conference Paper
Title

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
Mainwork
INFOCOMP 2019, the Ninth International Conference on Advanced Communications and Computation  
Project(s)
MathEnergy
Funder
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)  
Conference
International Conference on Advanced Communications and Computation (INFOCOMP) 2019  
Link
Link
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • modeling of complex systems

  • observational data and simulations

  • advanced applications

  • mathematical chemistry

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024