Optimal operating strategy and revenue estimates for the arbitrage of a vanadium redox flow battery considering dynamic efficiencies and capacity loss

2016 ◽  
Vol 10 (5) ◽  
pp. 1278-1285 ◽  
Author(s):  
Guannan He ◽  
Chongqing Kang ◽  
Qixin Chen ◽  
Qing Xia
Batteries ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 48 ◽  
Author(s):  
Arjun Bhattarai ◽  
Purna Ghimire ◽  
Adam Whitehead ◽  
Rüdiger Schweiss ◽  
Günther Scherer ◽  
...  

The vanadium redox flow battery (VRFB) is one of the most mature and commercially available electrochemical technologies for large-scale energy storage applications. The VRFB has unique advantages, such as separation of power and energy capacity, long lifetime (>20 years), stable performance under deep discharge cycling, few safety issues and easy recyclability. Despite these benefits, practical VRFB operation suffers from electrolyte imbalance, which is primarily due to the transfer of water and vanadium ions through the ion-exchange membranes. This can cause a cumulative capacity loss if the electrolytes are not rebalanced. In commercial systems, periodic complete or partial remixing of electrolyte is performed using a by-pass line. However, frequent mixing impacts the usable energy and requires extra hardware. To address this problem, research has focused on developing new membranes with higher selectivity and minimal crossover. In contrast, this study presents two alternative concepts to minimize capacity fade that would be of great practical benefit and are easy to implement: (1) introducing a hydraulic shunt between the electrolyte tanks and (2) having stacks containing both anion and cation exchange membranes. It will be shown that the hydraulic shunt is effective in passively resolving the continuous capacity loss without detrimentally influencing the energy efficiency. Similarly, the combination of anion and cation exchange membranes reduced the net electrolyte flux, reducing capacity loss. Both approaches work efficiently and passively to reduce capacity fade during operation of a flow battery system.


2013 ◽  
Vol 448-453 ◽  
pp. 2872-2878
Author(s):  
Hong Fei Cao ◽  
Xin Jian Zhu ◽  
Hai Feng Shen ◽  
Meng Shao

During long-time charge-discharge cycling, the capacity of the vanadium redox flow battery (VRFB) will reduce gradually. To recognize the capacity loss condition in the time of the operation process, a method for classification of the capacity loss degree based on Probabilistic Neural Network (PNN) is presented. The network inputs are the value of the voltage per second and the average power of the cell stack in any two minutes of the circulation. The network will give out three classes in form of three numbers to classify the capacity loss degree into different levels. The network is trained and validated by experimental data and the results show that the network is suitable for the classification problem of VRFB capacity loss and the method is useful to determine whether the capacity is sufficient and when to restore the cell capacity in real time.


2018 ◽  
Vol 390 ◽  
pp. 261-269 ◽  
Author(s):  
Zhongbao Wei ◽  
Arjun Bhattarai ◽  
Changfu Zou ◽  
Shujuan Meng ◽  
Tuti Mariana Lim ◽  
...  

Author(s):  
Tongxue Zhang ◽  
Yingqiao Jiang ◽  
Zixuan Zhang ◽  
Jing Xue ◽  
Yuehua Li ◽  
...  

Author(s):  
Sebastiano Bellani ◽  
Leyla Najafi ◽  
Mirko Prato ◽  
Reinier Oropesa-Nuñez ◽  
Beatriz Martín-García ◽  
...  

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