Control‐Oriented Modeling of Non‐Adiabatic Solid Oxide Fuel Cell Stacks

The paper presents a lumped zero dimensional (0D) model for the simulation of solid oxide fuel cell (SOFC) stack thermal dynamics. Particularly, a dedicated sub‐model is developed, via a mixed gray/black‐box modeling approach, to suitably treat the heat exchange mechanisms between the stack and its...

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Bibliographic Details
Published in:Fuel cells (Weinheim an der Bergstrasse, Germany) Germany), 2017-06, Vol.17 (3), p.328-343
Main Authors: Marra, D., Sorrentino, M., Pianese, C., Jensen, K. J. N. L.
Format: Article
Language:English
Subjects:
Adiabatic flow
Computer simulation
Control systems
Control‐oriented Modeling
Design engineering
Diagnostic software
Diagnostic systems
Dynamical systems
Hardware
Heat exchange
Modelling
Non‐adiabatic Stack
Operating temperature
Real time
Redundancy
Reliability
Sensors
Simulation
Solid Oxide Fuel Cell
Solid oxide fuel cells
Stacks
Thermal Dynamics
Trajectories
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Summary:The paper presents a lumped zero dimensional (0D) model for the simulation of solid oxide fuel cell (SOFC) stack thermal dynamics. Particularly, a dedicated sub‐model is developed, via a mixed gray/black‐box modeling approach, to suitably treat the heat exchange mechanisms between the stack and its surrounding environment. Such a sub‐model was embedded into an existing 0D simulator and then tested via comparison with temperature sensor measurements. The hardware sensor is indeed particularly critical, due to its location and the typically high operating temperature characterizing SOFC. Therefore, suitable experimental transients were performed at Topsoe fuel cell test‐bench, thus allowing verifying the accuracy and generalization granted by the 0D model in reproducing stack outlet temperature trajectories, both in steady‐state and dynamic operations. As a result, the modeling approach here proposed is proven effective either to replace the hardware temperature sensor at stack outlet or for redundancy purposes to improve reliability. Moreover, the 0D model can be deployed for offline design of SOFC systems' control strategies, as well as for real‐time diagnostic and control applications.
ISSN:1615-6846
1615-6854
DOI:10.1002/fuce.201600150