背景(考古学)
范围(计算机科学)
电解
可再生能源
工艺工程
电力转天然气
电解水
化石燃料
高温电解
环境科学
制氢
生化工程
氢
计算机科学
废物管理
工程类
化学
电气工程
古生物学
有机化学
电极
物理化学
电解质
生物
程序设计语言
作者
Marius Mueller,Markus Klinsmann,Ulrich Sauter,Jean-Claude Njodzefon,André Weber
标识
DOI:10.1002/cite.202300137
摘要
Abstract In the global quest to renounce from fossil fuels, a large demand for the renewable production of hydrogen via water electrolysis exists. In this context, the solid oxide electrolyzer (SOE) is an interesting technology due to its high efficiency resulting from elevated operating temperatures of up to 900 °C. Physical modeling plays a vital role in the development of SOEs, as it lowers experimental costs and provides insight where measurements reach limits. A main challenge for modeling SOEs is the multitude of physical effects, occurring and interacting on various spatial and temporal scales. This requires assumptions and simplifications, particularly when increasing scope and dimensions of a model. In this review, we discuss the different approaches currently available in literature.
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