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Abstract
This paper aims to design a lumped-capacity model
of a reversible solid oxide cell stack for hydrogen electrolysis.
The lumped-capacity model needs to have an adequate representation
of the electrical dynamics over a wide operating
range and a model structure suitable for the design of a physical
emulator. The grey-box model is based on data obtained by electrochemical
impedance spectroscopy conducted on a commercial
solid oxide cell stack for four different gas compositions at six
aging stages. In addition, a comparison of the experimental and
simulated voltage response of the reversible solid oxide cell stack
in cyclic reversible operation mode was conducted at different
aging levels of the stack.
of a reversible solid oxide cell stack for hydrogen electrolysis.
The lumped-capacity model needs to have an adequate representation
of the electrical dynamics over a wide operating
range and a model structure suitable for the design of a physical
emulator. The grey-box model is based on data obtained by electrochemical
impedance spectroscopy conducted on a commercial
solid oxide cell stack for four different gas compositions at six
aging stages. In addition, a comparison of the experimental and
simulated voltage response of the reversible solid oxide cell stack
in cyclic reversible operation mode was conducted at different
aging levels of the stack.
Original language | English |
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Title of host publication | 2023 IEEE Conference on Control Technology and Applications (CCTA) |
Publisher | IEEE Press |
Publication date | 2023 |
Publication status | Published - 2023 |
Series | Proceedings of the IEEE Conference on Control Technology and Applications (CCTA) |
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Keywords
- System Identification
- Grey-Box Modeling
- Electromechanical Impedance Spectroscopy
- Electrolysis
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Dive into the research topics of 'Grey-box Modeling of Reversible Solid Oxide Cell Stack’s Electrical Dynamics Based on Electrochemical Impedance Spectroscopy'. Together they form a unique fingerprint.Projects
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Robust operation of DC-DC converters for nonlinear loads in DC-microgrids
Jessen, K., N. Soltani, M. & Hajizadeh, A.
15/08/2022 → 16/02/2024
Project: PhD Project