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Mass transfer in fibrous media with varying anisotropy for flow battery electrodes: Direct numerical simulations with 3D X-ray computed tomography

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dc.contributor.authorKok, Matthew D. R.
dc.contributor.authorJervis, Rhodri
dc.contributor.authorTranter, Thomas G.
dc.contributor.authorSadeghi, Mohammad Amin
dc.contributor.authorBrett, Dan J. L.
dc.contributor.authorShearing, Paul R.
dc.contributor.authorGostick, Jeff T.
dc.date.accessioned2020-01-06T17:48:19Z
dc.date.available2020-01-06T17:48:19Z
dc.date.issued2019-03-16
dc.descriptionThe final publication is available at Elsevier via https://doi.org/10.1016/j.ces.2018.10.049. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractA numerical method for calculating the mass transfer coefficient in fibrous media is presented. First, pressure driven flow was modelled using the Lattice Boltzmann Method. The advection-diffusion equation was solved for convective-reacting porous media flow, and the method is contrasted with experimental methods such as the limiting current diffusion technique, for its ability to determine and simulate mass transfer systems that are operating at low Reynolds number flows. A series of simulations were performed on three materials; specifically, commercially available carbon felts, electrospun carbon fibers and electrospun carbon fibers with anisotropy introduced to the microstructure. Simulations were performed in each principal direction (x,y,z) for each material in order to determine the effects of anisotropy on the mass transfer coefficient. In addition, the simulations spanned multiple Reynolds and Péclet numbers, to fully represent highly advective and highly diffusive systems. The resulting mass transfer coefficients were compared with values predicted by common correlations and a good agreement was found at high Reynolds numbers, but less so at lower Reynolds number typical of cell operation, reinforcing the utility of the numerical approach. Dimensionless mass transfer correlations were determined for each material and each direction in terms of the Sherwood number. These correlations were analyzed with respect to each materials’ permeability tensor. It was found that as the permeability of the system increases, the expected mass transfer coefficient decreases. Two general mass transfer correlations are presented, one correlation for isotropic fibrous media and the other for through-plane flow in planar fibrous materials such as electrospun media and carbon paper. The correlations are Sh = 0.879 Re0.402 Sc0.390 and Sh = 0.906 Re0.432 Sc0.432 respectively.en
dc.description.sponsorshipThe authors acknowledge support from the EPSRC under grants EP/L014289/1 and EP/N032888/1, as well as the STFC Extended Network in Batteries and Electrochemical Energy Devices (ST/N002385/1) for funding of travel for Rhodri Jervis to Canada. Paul R Shearing acknowledges the support of the Royal Academy of Engineering. This work was supported by the Natural Science and Engineering Research Council (NSERC) of Canada. MDR Kok is grateful to the Eugenie Ulmer Lamothe Endowment as well as the Vadasz Family Doctoral Fellowship for funding his work, as well the McGill University’s Graduate Mobility Award for funding his travel to the UK.en
dc.identifier.urihttps://doi.org/10.1016/j.ces.2018.10.049
dc.identifier.urihttp://hdl.handle.net/10012/15411
dc.language.isoenen
dc.publisherElsevieren
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectelectrospun electrodesen
dc.subjectnumerical modellingen
dc.subjectx-ray computed tomographyen
dc.subjectredox flow batteryen
dc.subjectmass transfer coefficienten
dc.subjectfibrous mediaen
dc.titleMass transfer in fibrous media with varying anisotropy for flow battery electrodes: Direct numerical simulations with 3D X-ray computed tomographyen
dc.typeArticleen
dcterms.bibliographicCitationM. D. R. Kok, R. Jervis, T.G. Tranter, M.A. Sadeghi, D. J. L. Brett, P.R. Shearing, J.T. Gostick, Mass Transfer in Fibrous Media with Varying Anisotropy for Flow Battery Electrodes: Direct Numerical Simulations with 3D X-ray Computed Tomography, Chemical Engineering Science (2018), doi: https://doi.org/10.1016/j.ces.2018.10.049en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Chemical Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.scholarLevelPost-Doctorateen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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