Factor analysis of the uniformity of the transfer current density in vanadium flow battery by an improved three-dimensional transient model
Factor analysis of the uniformity of the transfer current density in vanadium flow battery by an improved three-dimensional transient model
复制标题
改进的三维瞬态模型对全钒液流电池传输电流密度均匀性的因素分析
DOI：
10.1016/j.energy.2019.116839
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发表时间：
2020-03
期刊：
影响因子：
9
通讯作者：
马相坤
中科院分区：
文献类型：
--
作者：
苑辰光;邢枫;郑琼;张华民;李先锋;马相坤
钒液流电池以其高安全性、高性价比和环境友好等优点被认为是最有前途的大规模储能技术之一。转移电流密度的均匀性是影响钒液流电池性能的关键因素之一。更均匀的转移电流密度分布将减少极化，提高电池的可靠性。在这项工作中，一个三维瞬态模型结合钒离子穿越通过分离器已经开发。在此基础上，研究了外加电流密度、电极孔隙率和电解液流量对转移电流密度均匀性的影响。结果表明，较低的电流密度、较高的电极孔隙率或较高的电解液流速有利于获得较均匀的转移电流密度和降低电池极化。通过比较发现，电极孔隙率对转移电流密度的均匀性影响最大，孔隙率越高，在多次充放电循环中的稳定性越好。最后，基于放大模型对工业规模电池设计进行了初步研究。
Vanadium flow battery has been regarded as one of the most promising candidates for large-scale energy storage, due to its attractive features of high safety, high performance-price ratio and environmental friendliness. The uniformity of transfer current density is one of the crucial factors affecting the performance of a vanadium flow battery. More uniform distribution of transfer current density will reduce the polarization and improve the battery reliability. In this work, a three-dimensional transient model in combination of the vanadium ions crossover through the separator has been developed. Based on the model, the effect of the applied current density, electrode porosity and electrolyte flow rate on the uniformity of transfer current density has been investigated. The result indicates that a lower applied current density, higher electrode porosity or higher electrolyte flow rate is beneficial to obtain a more uniform transfer current density and a reduced battery polarization. By comparison, the electrode porosity shows the most prominent effect on the uniformity of transfer current density, and a higher porosity is verified to be able to attain a better stability in several charge-discharge cycles. Finally, a preliminary study for an industrial scale battery designs has been performed based on an amplifying model.
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影响因子：
7.2
作者：
N. Belgacem;J. Pauchet;M. Prat
通讯作者：
N. Belgacem;J. Pauchet;M. Prat
影响因子：
4.7
作者：
L. Xing;Yan Wang;P. Das;K. Scott;W. Shi
通讯作者：
L. Xing;Yan Wang;P. Das;K. Scott;W. Shi
DOI：
10.33961/jecst.2017.8.4.331
发表时间：
2017-12
影响因子：
3.7
作者：
Sang-min Park;Sang-Kyung Kim;D. Peck;D. Jung
通讯作者：
Sang-min Park;Sang-Kyung Kim;D. Peck;D. Jung
影响因子：
9.2
作者：
Tang, Ao;Bao, Jie;Skyllas-Kazacos, Maria
通讯作者：
Skyllas-Kazacos, Maria
影响因子：
6.6
作者：
Becker, Maik;Bredemeyer, Niels;Turek, Thomas
通讯作者：
Turek, Thomas