E3S Web Conf.
Volume 128, 2019XII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2019)
|Number of page(s)||6|
|Section||Heat and Mass Transfer in Energy Systems|
|Published online||08 November 2019|
Comparison between 1-D and grey-box models of a SOFC
DIAEE, Sapienza University of Rome,
2 Department of Chemistry, Chemical Engineering and Materials, University of Aquila, L’Aquila, Italy
3 Universita Telematica e-Campus, Novedrate, CO, Italy
4 Marconi University, Rome, Italy
* Corresponding author: firstname.lastname@example.org
Solid Oxide Fuel Cells (SOFCs) have shown unique performance in terms of greater electrical efficiency and thermochemical integrity with the power systems compared to gas turbines and internal combustion engines. Nonetheless, simple and reliable models still must be defined. In this paper, a comparisonbetween a grey-box model and a 1-D model of a SOFC is performed to understand the impact of the heat transfer inside the cell on the internal temperature distribution of the solid electrolyte. Hence, a significant internal temperature peak of the solid electrolyte is observed for a known difference between anode and cathode inlet temperatures. Indeed, it highlights the difference between the 1-D model andthe grey-box model regarding the thermal conditioning of the SOFC. Therefore, the results of this study can be used to investigate the reliability of the thermal results of box models in system-level simulations.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.