| Autor: |
Pongsarun Satjaritanun, Maeve O'Brien, Devashish Kulkarni, Sirivatch Shimpalee, Cristopher Capuano, Katherine E. Ayers, Nemanja Danilovic, Dilworth Y. Parkinson, Iryna V. Zenyuk |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
iScience, Vol 23, Iss 12, Pp 101783- (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2020.101783 |
| Popis: |
Summary: Understanding the relationships between porous transport layer (PTL) morphology and oxygen removal is essential to improve the polymer electrolyte water electrolyzer (PEWE) performance. Operando X-ray computed tomography and machine learning were performed on a model electrolyzer at different water flow rates and current densities to determine how these operating conditions alter oxygen transport in the PTLs. We report a direct observation of oxygen taking preferential pathways through the PTL, regardless of the water flow rate or current density (1-4 A/cm2). Oxygen distribution in the PTL had a periodic behavior with period of 400 μm. A computational fluid dynamics model was used to predict oxygen distribution in the PTL showing periodic oxygen front. Observed oxygen distribution is due to low in-plane PTL tortuosity and high porosity enabling merging of oxygen bubbles in the middle of the PTL and also due to aerophobicity of the layer. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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