介绍了一种通过摩尔通量和电池常数来鉴定和统一实验室规模氧化还原液流电池性能的实验路线。

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Sebastian Fricke, Luuk Kortekaas, Martin Winter, Mariano Grünebaum
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引用次数: 0

摘要

氧化还原液流电池(rfb)具有可扩展性、设计灵活性、高效率和长寿命等优点,是一种很有前途的电网储能技术,因此在这一领域的研究投入了大量的精力。然而,由于实验室规模的RFB电池设计和结构以及其操作性能存在巨大差异,由于缺乏标准设置、设置和程序,对创新RFB组件(例如,活性材料、分离器、添加剂)的基础研究比较差。本研究介绍了一种基于摩尔通量的简单质量传递模型的实验校准方法,通过引入几个RFB参数,可以比较不同的实验室规模RFB电池设置:首先,K1,它总结了RFB的工作参数,通过简单的过电压和充电效率评估来确定有效充放电循环所需的临界比(K1临界);第二,RFB细胞常数ζ,量化实验室规模的RFB设置对其性能的影响;最后是K2,最终实现跨RFB单元设置的(理想的)k1关键操作参数的全面比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing an Experimental Route to Identify and Unify Lab-Scale Redox-Flow Battery Cell Performances via Molar Fluxes and Cell Constants.

Redox flow batteries (RFBs) are a promising technology for grid energy storage based on their high potential for scalability, design flexibility, high efficiency, and long durability, hence great effort has been invested in this area of research. However, due to the large differences in lab-scale RFB cell design and construction as well their operational performance, fundamental studies on innovative RFB components (e.g., active materials, separators, additives) compare poorly due to the lack of standard setups, settings, and procedures. This work introduces an experimental calibration route for aqueous as well as nonaqueous RFBs based on a simple mass transport model using molar fluxes, enabling one to compare dissimilar lab-scale RFB cell setups by introducing several RFB parameters: First, K1, which summarizes the operating parameters of an RFB to identify the critical ratio (K1critical) needed for efficient charge-discharge cycling using a simple overvoltage and charge efficiency evaluation; second, the RFB cell constant ζ, quantifying the influence of a lab-scale RFB setup on its performance; and finally, K2, ultimately enabling full comparison of (idealized) K1critical operating parameters across RFB cell setups.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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