TY  - GEN
N2  - The maritime industry is actively exploring alternative fuels and drive train technology to reduce the emissions of hazardous air pollutants and greenhouse gases. High temperature solid oxide fuel cells (SOFCs) represent a promising technology to generate electric power on ships from a variety of renewable fuels with high efficiencies and no hazardous emissions. However, application in ships is still impeded by a number of challenges, such as low power density and high capital cost. A slow response to load transients is another challenges, which is typically a result of the conservative thermal management strategies used to ensure that excessive thermal stresses in the stack are avoided. Therefore, a reduced order SOFC stack model is developed in this work for model-based control. The model is subsequently verified with a high fidelity model developed in previous work. In addition, a preliminary framework for its use for model predictive SOFC control is provided. The reduced order model and control framework will be used in future work to optimise thermal management of SOFC stacks for improved transient response while respecting physical and operational constraints.
DO  - 10.24868/10727
DO  - doi
AB  - The maritime industry is actively exploring alternative fuels and drive train technology to reduce the emissions of hazardous air pollutants and greenhouse gases. High temperature solid oxide fuel cells (SOFCs) represent a promising technology to generate electric power on ships from a variety of renewable fuels with high efficiencies and no hazardous emissions. However, application in ships is still impeded by a number of challenges, such as low power density and high capital cost. A slow response to load transients is another challenges, which is typically a result of the conservative thermal management strategies used to ensure that excessive thermal stresses in the stack are avoided. Therefore, a reduced order SOFC stack model is developed in this work for model-based control. The model is subsequently verified with a high fidelity model developed in previous work. In addition, a preliminary framework for its use for model predictive SOFC control is provided. The reduced order model and control framework will be used in future work to optimise thermal management of SOFC stacks for improved transient response while respecting physical and operational constraints.
AD  - Delft University of Technology
AD  - Delft University of Technology
AD  - Delft University of Technology
AD  - Delft University of Technology
T1  - A Reduced Order Model of a Solid Oxide Fuel Cell Stack for Model-based Control
DA  - 2022-10-03
AU  - van Biert, L
AU  - Segovia Castillo, P
AU  - Haseltalab, A
AU  - Negenborn, R
L1  - https://library.imarest.org/record/10727/files/10727.pdf
JF  - Conference Proceedings of iSCSS
VL  - iSCSS 2022
PY  - 2022-10-03
ID  - 10727
L4  - https://library.imarest.org/record/10727/files/10727.pdf
KW  - Solid Oxide Fuel Cell
KW  - Transient Simulation
KW  - Thermal Management
KW  - Reduced Order Model
KW  - Model-based Control
TI  - A Reduced Order Model of a Solid Oxide Fuel Cell Stack for Model-based Control
Y1  - 2022-10-03
L2  - https://library.imarest.org/record/10727/files/10727.pdf
LK  - https://www.imarest.org/events/category/categories/imarest-event/international-ship-control-systems-symposium-2022
LK  - https://library.imarest.org/record/10727/files/10727.pdf
UR  - https://www.imarest.org/events/category/categories/imarest-event/international-ship-control-systems-symposium-2022
UR  - https://library.imarest.org/record/10727/files/10727.pdf
ER  -