TY - JOUR
T1 - Modelling of redox flow battery electrode processes at a range of length scales
T2 - a review
AU - Chakrabarti, Barun Kumar
AU - Kalamaras, Evangelos
AU - Singh, Abhishek Kumar
AU - Bertei, Antonio
AU - Rubio-Garcia, J.
AU - Yufit, Vladimir
AU - Tenny, Kevin M.
AU - Wu, Billy
AU - Tariq, Farid
AU - Hajimolana, Yashar S.
AU - Brandon, Nigel P.
AU - John Low, Chee Tong
AU - Roberts, Edward P.L.
AU - Chiang, Yet Ming
AU - Brushett, Fikile R.
N1 - Funding Information:
This work has received financial support from EPSRC ISCF Wave 1: 3D electrodes from 2D materials (EP/R023034/1), EPSRC Lower Cost and Longer Life Flow Batteries for Grid Scale Energy Storage project (EP/L014289/1), EPSRC Zinc–Nickel Redox Flow Battery for Energy Storage (EP/P003494/1), Natural Sciences and Engineering Research Council of Canada (grant reference RGPIN-2018-03725), Joint Center for Energy Storage Research as an Energy Innovation Hub funded by the U.S. Department of Energy (De-AC02-06CH11357) and U.S. National Science Foundation Graduate Research Fellowship (1122374). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation. We would also like to thank Yas Ashraf Gandomi, McLain E. Leonard, Katharine V. Greco, Alexis M. Fenton, Jr, Kara E. Rodby, Charles T. C. Wan, Lauren E. Clarke, Weiran Gao, Bertand J. Neyhouse, and Alexander H. Quinn of the Brushett lab at MIT for their constructive feedback in reviewing this work.
Funding Information:
This work has received nancial support from EPSRC ISCF Wave 1: 3D electrodes from 2D materials (EP/R023034/1), EPSRC Lower Cost and Longer Life Flow Batteries for Grid Scale Energy Storage project (EP/L014289/1), EPSRC Zinc–Nickel Redox Flow Battery for Energy Storage (EP/P003494/1), Natural Sciences and Engineering Research Council of Canada (grant reference RGPIN-2018-03725), Joint Center for Energy Storage Research as an Energy Innovation Hub funded by the U.S. Department of Energy (De-AC02-06CH11357) and U.S. National Science Foundation Graduate Research Fellowship (1122374). Any opinion, ndings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reect the views of the National Science Foundation. We would also like to thank Yas Ashraf Gandomi, McLain E. Leonard, Katharine V. Greco, Alexis M. Fenton, Jr, Kara E. Rodby, Charles T. C. Wan, Lauren E. Clarke, Weiran Gao, Bertand J. Neyhouse, and Alexander H. Quinn of the Brushett lab at MIT for their constructive feedback in reviewing this work.
Publisher Copyright:
© 2020 The Royal Society of Chemistry.
PY - 2020/11
Y1 - 2020/11
N2 - In this article, the different approaches reported in the literature for modelling electrode processes in redox flow batteries (RFBs) are reviewed. RFB models vary widely in terms of computational complexity, research scalability and accuracy of predictions. Development of RFB models have been quite slow in the past, but in recent years researchers have reported on a range of modelling approaches for RFB system optimisation. Flow and transport processes, and their influence on electron transfer kinetics, play an important role in the performance of RFBs. Macro-scale modelling, typically based on a continuum approach for porous electrode modelling, have been used to investigate current distribution, to optimise cell design and to support techno-economic analyses. Microscale models have also been developed to investigate the transport properties within porous electrode materials. These microscale models exploit experimental tomographic techniques to characterise three-dimensional structures of different electrode materials. New insights into the effect of the electrode structure on transport processes are being provided from these new approaches. Modelling flow, transport, electrical and electrochemical processes within the electrode structure is a developing area of research, and there are significant variations in the model requirements for different redox systems, in particular for multiphase chemistries (gas-liquid, solid-liquid, etc.) and for aqueous and non-aqueous solvents. Further development is essential to better understand the kinetic and mass transport phenomena in the porous electrodes, and multiscale approaches are also needed to enable optimisation across the relevent length scales.
AB - In this article, the different approaches reported in the literature for modelling electrode processes in redox flow batteries (RFBs) are reviewed. RFB models vary widely in terms of computational complexity, research scalability and accuracy of predictions. Development of RFB models have been quite slow in the past, but in recent years researchers have reported on a range of modelling approaches for RFB system optimisation. Flow and transport processes, and their influence on electron transfer kinetics, play an important role in the performance of RFBs. Macro-scale modelling, typically based on a continuum approach for porous electrode modelling, have been used to investigate current distribution, to optimise cell design and to support techno-economic analyses. Microscale models have also been developed to investigate the transport properties within porous electrode materials. These microscale models exploit experimental tomographic techniques to characterise three-dimensional structures of different electrode materials. New insights into the effect of the electrode structure on transport processes are being provided from these new approaches. Modelling flow, transport, electrical and electrochemical processes within the electrode structure is a developing area of research, and there are significant variations in the model requirements for different redox systems, in particular for multiphase chemistries (gas-liquid, solid-liquid, etc.) and for aqueous and non-aqueous solvents. Further development is essential to better understand the kinetic and mass transport phenomena in the porous electrodes, and multiscale approaches are also needed to enable optimisation across the relevent length scales.
UR - http://www.scopus.com/inward/record.url?scp=85096330491&partnerID=8YFLogxK
U2 - 10.1039/d0se00667j
DO - 10.1039/d0se00667j
M3 - Review article
AN - SCOPUS:85096330491
SN - 2398-4902
VL - 4
SP - 5433
EP - 5468
JO - Sustainable Energy and Fuels
JF - Sustainable Energy and Fuels
IS - 11
ER -