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Multiscale modeling of degradation of full solid oxide fuel cell stacks
- Source :
- Rizvandi, O B, Miao, X-Y & Frandsen, H L 2021, ' Multiscale Modeling of Degradation of Full Solid Oxide Fuel Cell Stacks ', International Journal of Hydrogen Energy, vol. 46, no. 54, pp. 27709-27730 . https://doi.org/10.1016/j.ijhydene.2021.05.204
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Limiting the degradation of solid oxide fuel cells is an important challenge for their widespread use and commercialization. The computational expense of long-term simulation of a full stack with conventional models is immense. In this study, we present a multiscale three-dimensional model of a degrading full stack of solid oxide cells, where we integrate degradation phenomena of nickel particle coarsening in the anode electrode, chromium poisoning of the cathode electrode, and oxidation of the interconnect into a multiscale model of the stack. This approach makes this type of simulation computationally feasible, and 38 thousand hours of the stack operation can be simulated in 1 h and 15 min on a high-end workstation. Hereby one can start to explore the optimum operating conditions for a range of parameters. The model is validated with experimental data from an 18-cell Julich Mark-F stack experiment and predicts common trends reported in the literature for evolutions of the stack performance, degradation phenomena, and the related model variables. Moreover, it captures how different regimes in the full stack degrades at different rates and how the various degradation phenomena interact over time. The model is used to investigate the effects of galvanostatic and potentiostatic operation modes, operating conditions, and flow configurations on the long-term performance of the stack. Results demonstrate, as expected, that potentiostatic operation mode, moderate temperature, lower load current, and counter-flow configuration improve the long-term performance of the stack.
- Subjects :
- Materials science
Nuclear engineering
Flow (psychology)
Oxide
Energy Engineering and Power Technology
02 engineering and technology
010402 general chemistry
01 natural sciences
Degradation
chemistry.chemical_compound
Stack (abstract data type)
Solid oxide fuel cell
Multiscale modeling
Homogenization
Interconnection
Operating condition
Renewable Energy, Sustainability and the Environment
021001 nanoscience & nanotechnology
Condensed Matter Physics
0104 chemical sciences
Anode
Fuel Technology
chemistry
Degradation (geology)
0210 nano-technology
Stack-scale modeling
Subjects
Details
- ISSN :
- 03603199
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- International Journal of Hydrogen Energy
- Accession number :
- edsair.doi.dedup.....3eb97dd94238c18e10d9fbb5be94136e
- Full Text :
- https://doi.org/10.1016/j.ijhydene.2021.05.204