电解水
可靠性(半导体)
耐久性
质子交换膜燃料电池
制氢
电解
透视图(图形)
生化工程
降低成本
工程类
计算机科学
工艺工程
系统工程
制造工程
功率(物理)
氢
燃料电池
人工智能
化学
业务
营销
物理化学
有机化学
物理
数据库
电解质
量子力学
化学工程
电极
作者
Boris Bensmann,Alexander Rex,Richard Hanke‐Rauschenbach
标识
DOI:10.1016/j.coche.2022.100829
摘要
The development of proton exchange membrane water electrolysis for hydrogen production to satisfy the industrial demand regarding scale, performance and lifetime is challenging. The objectives with the highest priority are a reduction of the power-specific cost and increases in efficiency, reliability, and durability. The main drivers for technology development are usually ex situ and in situ experiments with new or customised materials at various operating conditions. However, modelling was already able to support technology development in the past and will even gain more importance in future. This article looks at the importance of modelling for further development from an engineering perspective and therefore focuses on the macroscopic and microscopic levels. It is stated that the advances in computational engineering and digitalisation in combination with the trend to machine learning/artificial neural networks may even lead to more intensive use of models.
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