Home > Publications database > A Fast Open Source Solid Oxide Cell Stack Model in Python |
Poster (After Call) | FZJ-2022-04701 |
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2022
Abstract: The interdependence of local current density, temperature, heat transfer and gas composition can be challenging, especially with increasing cell size. Therefore modelling is an essential tool for the development of new SOC applications. The model presented, will be released as open source and is implemented in Python to be easy accessible for other researchers and developers. The main focus of this presentation is on the consideration of model simplifications based on the experimental data and experience from stacks operated in JÜLICH. The complexity/accuracy tradeoff is crucial to achieve a model code, which is fast, easily to use, to understand and to modify.
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