Fundamental models for flow batteries |
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Affiliation: | 1. Sustainable Energy & Power Electronics Research (SuPER) Cluster, Universiti Malaysia Pahang, 26600 Kuantan, Pahang, Malaysia;2. IMDEA Energia, 28935 Mostoles, Madrid, Spain;1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi''an Jiaotong University, Xi''an 710049, China;2. Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;1. Beijing Key Laboratory for Chemical Power Source and Green Catalysis, School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing 100081, China;2. Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138, USA;1. Clausthal University of Technology, Institute of Chemical and Electrochemical Process Engineering, Leibnizstr. 17, 38678 Clausthal-Zellerfeld, Germany;2. Energy Research Centre of Lower Saxony (EFZN), Am Stollen 19A, 38640 Goslar, Germany;3. thyssenkrupp Industrial Solutions AG, Friedrich-Uhde-Str. 15, 44141 Dortmund, Germany |
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Abstract: | The flow battery is a promising technology for large-scale storage of intermittent power generated from solar and wind farms owing to its unique advantages such as location independence, scalability and versatility. The widespread commercialization of flow batteries, thus far, is still hindered by certain technical barriers. Removal of these barriers requires a fundamental understanding of the complex electrochemical and transport behaviors of flow batteries. Mathematical modeling and simulation serve important roles in the exploration of these complex phenomena and to the prediction as well as improvement of the cell performance of different system designs. In this review, a comprehensive study is performed to review and summarize state-of-the-art flow batteries and to provide an outlook on the future and potential of flow battery modeling. The review begins with a description of the physical and chemical processes of common flow batteries, followed by the detailed discussion of the governing equations for transports of mass, momentum, heat and charge as well as the electrochemical reactions for porous-medium models. The determination of key transport properties for the porous-medium models and their effects on modeling results are also analyzed. In addition, lattice Boltzmann method, molecular dynamics and density function simulations as well as stack-level network models for flow batteries are reviewed. Finally, the issues facing the future of flow battery modeling are addressed. |
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Keywords: | Flow batteries Numerical modeling Battery performance prediction |
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