按来源划分的电力成本
工艺工程
质子交换膜燃料电池
制氢
可再生能源
灵活性(工程)
计算机科学
聚合物电解质膜电解
电
工程类
电解
发电
氢
化学
电解质
经济
电气工程
化学工程
功率(物理)
物理
管理
有机化学
电极
量子力学
物理化学
燃料电池
作者
H. Sayed-Ahmed,Árpád I. Toldy,Annukka Santasalo-Aarnio
标识
DOI:10.1016/j.rser.2023.113883
摘要
Green hydrogen is seen as a promising energy storage and balancing solution to complement the ever-increasing share of variable renewable energy sources in the grid. The dynamic operation of polymer electrolyte membrane (PEM) electrolyzers has the potential to simultaneously lower the cost of green hydrogen and improve the flexibility of the grid by taking advantage of the volatility of renewable production. However, dynamic operation affects a wide range of variables related to the degradation of electrolyzer components and the safety and efficiency of the process, often in counterintuitive ways. This, in turn, makes it difficult to predict the levelized cost of the green hydrogen produced when operating on the electricity markets. This critical review examines state-of-the-art literature on the behavior of PEM electrolyzers under dynamic operation, bearing in mind the objective of reducing the levelized cost of green hydrogen. Knowledge gaps, key development directions, and future research needs are identified with respect to PEM electrolysis equipment, operating parameters, degradation, and the role of dynamically operated PEM electrolyzers on the electricity markets. It is found that while the field is developing at a rapid pace, there is a lack of holistic studies that consider all (or even most of) the interconnected variables that affect the levelized cost of green hydrogen during the dynamic operation of PEM electrolyzers. It is postulated that this complex network of interactions will give rise to data-driven approaches (such as Machine Learning) to bridge this gap.
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