Abstract
Solid oxide fuel cells (SOFCs) are a popular research topic in the field of new energy technology due to their high efficiency, environmental friendliness, and fuel flexibility. However, the study of the physical and chemical processes inside the cell is limited due to the high operating temperature and complex multiscale structure of SOFCs. Therefore to accelerate the development of SOFC, it is important to establish theoretical and numerical models based on known principles. These models could then be used to systematically and comprehensively explore the effects of various cell material properties, cell structure parameters, and operation conditions on cell performance and system efficiency.
| Original language | English |
|---|---|
| Title of host publication | Solid Oxide Fuel Cells Science and Engineering |
| Subtitle of host publication | Fundamentals, Materials, and Technologies |
| Publisher | Elsevier |
| Pages | 125-187 |
| Number of pages | 63 |
| ISBN (Electronic) | 9780443239908 |
| ISBN (Print) | 9780443239915 |
| DOIs | |
| Publication status | Published - 1 Jan 2026 |
Keywords
- From powder-to-power model
- Fuel cell stacks
- Fuel cells
- Lattice Boltzmann method (LBM)
- Machine learning
- Microstructure reconstruction
- Multiphysics model
- Reversible solid oxide cells
ASJC Scopus subject areas
- General Engineering
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