کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1293272 973524 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dynamic modelling of the effects of ion diffusion and side reactions on the capacity loss for vanadium redox flow battery
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
پیش نمایش صفحه اول مقاله
Dynamic modelling of the effects of ion diffusion and side reactions on the capacity loss for vanadium redox flow battery
چکیده انگلیسی

The diffusion of vanadium ions across the membrane along with side reactions can have a significant impact on the capacity of the vanadium redox flow battery (VFB) over long-term charge–discharge cycling. Differential rates of diffusion of the vanadium ions from one half-cell into the other will facilitate self-discharge reactions, leading to an imbalance between the state-of-charge of the two half-cell electrolytes and a subsequent drop in capacity. Meanwhile side reactions as a result of evolution of hydrogen or air oxidation of V2+ can further affect the capacity of the VFB. In this paper, a dynamic model is developed based on mass balances for each of the four vanadium ions in the VFB electrolytes in conjunction with the Nernst Equation. This model can predict the capacity as a function of time and thus can be used to determine when periodic electrolyte remixing or rebalancing should take place to restore cell capacity. Furthermore, the dynamic model can be potentially incorporated in the control system of the VFB to achieve long term optimal operation. The performance of three different types of membranes is studied on the basis of the above model and the simulation results together with potential operational issues are analysed and discussed.


► Vanadium ion diffusion causes capacity loss in vanadium redox flow battery (VFB).
► Gas side reactions lead to capacity loss in the VFB as well.
► Electrolyte rebalancing is required to restore the capacity.
► Dynamic model can help with predicting the capacity loss.
► Control system can be developed to restore the capacity based on the model prediction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 196, Issue 24, 15 December 2011, Pages 10737–10747
نویسندگان
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