Finite Element Method (FEM) Model and Performance Analysis of Solid Oxide Fuel Cells

This work presents a numerical FEM framework, capable of predicting SOFC performance under technically relevant, planar stack contacting conditions. A high level of confidence in the model predictions is supplied by using exclusively experimentally determined material/kinetic parameters and by a com...

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Bibliographic Details
Main Author: Geisler, Helge Ingolf
Format: eBook
Language:English
Published: KIT Scientific Publishing 2019
Series:Schriften des Instituts für Angewandte Materialien - Werkstoffe der Elektrotechnik, Karlsruher Institut für Technologie / Institut für Angewandte Materialien - Werkstoffe der Elektrotechnik
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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100 1 |a Geisler, Helge Ingolf 
245 0 0 |a Finite Element Method (FEM) Model and Performance Analysis of Solid Oxide Fuel Cells  |h Elektronische Ressource 
260 |b KIT Scientific Publishing  |c 2019 
300 |a 1 electronic resource (XIII, 259 p. p.) 
653 |a mischleitende (MIEC) Kathode 
653 |a mixed-ionic-electronic conductive (MIEC) cathode 
653 |a anodengestützte Zelle (ASC) 
653 |a anode supported cell (ASC) 
653 |a Hochtemperatur Festoxid-Brennstoffzelle (SOFC) 
653 |a Finite Element Method (FEM) simulation 
653 |a Technology: general issues / bicssc 
653 |a Finite Elemente Methode (FEM) Simulation 
653 |a Solid Oxide Fuel Cell (SOFC) 
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490 0 |a Schriften des Instituts für Angewandte Materialien - Werkstoffe der Elektrotechnik, Karlsruher Institut für Technologie / Institut für Angewandte Materialien - Werkstoffe der Elektrotechnik 
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520 |a This work presents a numerical FEM framework, capable of predicting SOFC performance under technically relevant, planar stack contacting conditions. A high level of confidence in the model predictions is supplied by using exclusively experimentally determined material/kinetic parameters and by a comprehensive validation. The presented model aids SOFC stack development by pre-evaluating possible material choices and design combinations for cells/interconnectors without any experimental effort.