聚合物电解质水电解槽多孔传输层中氧去除优先路径的观察
Observation of Preferential Pathways for Oxygen Removal through Porous Transport Layers of Polymer Electrolyte Water Electrolyzers.
作者信息
Satjaritanun Pongsarun, O'Brien Maeve, Kulkarni Devashish, Shimpalee Sirivatch, Capuano Cristopher, Ayers Katherine E, Danilovic Nemanja, Parkinson Dilworth Y, Zenyuk Iryna V
机构信息
Department of Chemical and Biomolecular Engineering, National Fuel Cell Research Center, University of California Irvine, Irvine, CA, USA.
Department of Material Science and Engineering, University of California Irvine, Irvine, CA, USA.
出版信息
iScience. 2020 Nov 9;23(12):101783. doi: 10.1016/j.isci.2020.101783. eCollection 2020 Dec 18.
Understanding the relationships between porous transport layer (PTL) morphology and oxygen removal is essential to improve the polymer electrolyte water electrolyzer (PEWE) performance. 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/cm). Oxygen distribution in the PTL had a periodic behavior with period of 400 . 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.
了解多孔传输层（PTL）形态与氧气去除之间的关系对于提高聚合物电解质水电解槽（PEWE）性能至关重要。在不同水流速率和电流密度下，对一个模型电解槽进行了X射线计算机断层扫描和机器学习，以确定这些操作条件如何改变PTL中的氧气传输。我们报告了直接观察到氧气通过PTL时优先选择路径，而与水流速率或电流密度（1-4 A/cm）无关。PTL中的氧气分布具有周期为400 的周期性行为。使用计算流体动力学模型来预测PTL中显示周期性氧气前沿的氧气分布。观察到的氧气分布是由于PTL面内曲折度低和孔隙率高，使得氧气气泡能够在PTL中间合并，也是由于该层的疏气性。
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