Abstract
This chapter establishes that OpenFOAM is applicable for analyzing the electrolyte flow in a vanadium redox flow battery (VFB) and the transport phenomena in these systems. The local porosity was controlled by inserting an extra layer of electrode at the inlet and outlet. The variations in electrochemical characteristics and energy conversion efficiency with porosity were obtained through VFB single cell experiments. Numerical analysis of the electrolyte flow and pressure distribution provided a theoretical explanation for the physical phenomenon, which depending on the local porosities. When the current density was 50 mA/cm2, the electrode with uniform porosity (UP) showed the best energy performance. However, at a high current density of 150 mA/cm2, the partial porosity-lowered electrode at inlet (designated as LPI) showed better efficiency than the UP electrode since the rate of electrochemical reaction increases, and the mass transfer of the reactant is enhanced accordingly. OpenFOAM is expected to contribute significantly to the optimization of this flow battery system. In the near future, it will also aid in achieving carbon neutrality by the virtue of collective intelligence.
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Change history
17 December 2022
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Notes
- 1.
In order to use concentration instead of activity in the Nernst equation, formal cell potential, E0’, is a more correct expression than standard cell potential, E0. Since the difference between the two values is usually not significant, E0’ and E0 are not distinguished in this chapter. (Allen and Bard 2001).
- 2.
\(k \in \left\{f, s\right\}\), f and s represent the fluid phase and solid phase, respectively.
Abbreviations
- UP:
-
uniform porosity
- LPI:
-
low porosity at the inlet
- LPO:
-
low porosity at the outlet
- E eq :
-
equilibrium cell potential
- E 0 :
-
standard cell potential
- E 0' :
-
formal cell potential
- C i :
-
concentration of the i species
- \({{\textit{C}}_{{\textit{i}}}^{*}}\) :
-
bulk concentration of the i species
- R :
-
ideal gas constant, 8.314 J/mol K
- T :
-
cell temperature, K
- F :
-
Faraday constant, 96,485 A s/mol
- k 0 :
-
standard rate constant
- i :
-
current at the electrodes
- CE:
-
current efficiency, Coulomb efficiency
- VE:
-
voltage efficiency
- EE:
-
energy efficiency
- I :
-
current
- V :
-
voltage
- t :
-
time
- \({\vec{u}}\) :
-
flow velocity vector, m/s
- p :
-
pressure, N/m2
- \({\vec{f}}\) :
-
acceleration vector caused by body force, m/s2
- S :
-
sink term of the momentum loss per unit volume, kg/m2s2
- K :
-
permeability of the porous medium, m2
- V f :
-
void volume occupied by fluid phase
- V s :
-
void volume occupied by solid phase
- V :
-
local representative elementary volume
- REV:
-
representative elementary volume
- <>:
-
superficial average or phase average (macroscopic)
- \({\left\langle { } \right\rangle ^k}\) :
-
intrinsic phase average (microscopic)
- u D :
-
Darcy velocity (flux), filtration (filter) velocity, superficial velocity
- u p :
-
physical velocity, pore velocity, interstitial velocity
- D p :
-
mean pore diameter, m
- Fo:
-
Forchheimer number
- Cf:
-
Forchhemier coefficient, inertia coefficient
- Re:
-
Reynolds number
- \({\alpha}\) :
- \({\alpha}\) :
-
viscous resistance coefficient, m–2, in Eqs. (29), (30), and (32)
- \({\eta}\) :
-
overpotential
- \({\rho}\) :
-
density, kg/m3
- \({\rho_0}\) :
-
reference density or surface density, kg/m3
- \({\varepsilon}\) :
-
porosity
- \({\tau _{ij}}\) :
-
shear stress tensor, N/m2
- \({\mu}\) :
-
dynamic viscosity, Pa·s
- \({\mu_e}\) :
-
effective viscosity, Pa·s
- \({\beta}\) :
-
inertial resistance coefficient, Forchhemier or non-Darcy coefficient, m–1
- \({\psi_k}\) :
-
local microscopic property with k-phase
- 0:
-
standard state when activity is 1.0
- ':
-
formal state
- *:
-
bulk solution
- dis :
-
discharge
- ch :
-
charge
- +:
-
positive electrode
- −:
-
negative electrode
- f :
-
fluid phase
- s :
-
solid phase
- k :
-
phase, solid or fluid
- D :
-
Darcy
- p :
-
physical value or pore
- e:
-
effective value
- 0:
-
reference or surface
References
Allen J,.Bard LRF (2001) Electrochemical methods: fundamentals and applications, 2nd edn
Amiri L, Ghoreishi-Madiseh SA, Hassani FP, Sasmito AP (2019) Estimating pressure drop and Ergun/Forchheimer parameters of flow through packed bed of spheres with large particle diameters. Powder Technol 356:310–324. https://doi.org/10.1016/j.powtec.2019.08.029
Armand M, Tarascon JM (2008) Building better batteries. Nature 451:652–657. https://doi.org/10.1038/451652a
Beale SB, Choi HW, Pharoah JG et al (2016) Open-source computational model of a solid oxide fuel cell. Comput Phys Commun 200:15–26. https://doi.org/10.1016/j.cpc.2015.10.007
Blomgren GE (2016) The development and future of lithium ion batteries. J Electrochem Soc
Bravo DL, He X, Hu Z et al (2020) Review—meta-review of fire safety of lithium-ion batteries: industry challenges and research contributions. J Electrochem Soc 167:090559. https://doi.org/10.1149/1945-7111/aba8b9
Brinkman HC (1949) A calculation of the viscous force exerted by a flowing fluid on a dense swarm of particles. Appl Sci Res 1:27–34. https://doi.org/10.1007/BF02120313
Bromberger K, Kaunert J, Smolinka T (2014) A model for all-vanadium redox flow batteries: introducing electrode-compression effects on voltage losses and hydraulics. Energy Technol 2:64–76. https://doi.org/10.1002/ente.201300114
Chen Y, Kang Y, Zhao Y et al (2021) A review of lithium-ion battery safety concerns: the issues, strategies, and testing standards. J Energy Chem 59:83–99. https://doi.org/10.1016/j.jechem.2020.10.017
Chen R, Kim S, Chang Z (2017) Redox flow batteries: fundamentals and applications. Redox—principles and advanced applications. InTech, pp 103–118
Cong D, Huamin Z, Xianfeng L et al. (2013) Vanadium flow battery for energy storage: prospects and challenges. J Phys Chem Lett 4:1281–1294
Larcher D, Tarascon JM (2014) Towards greener and more sustainable batteries for electrical energy storage. Nat Chem
Duh YS, Lin KH, Kao CS (2018) Experimental investigation and visualization on thermal runaway of hard prismatic lithium-ion batteries used in smart phones. J Therm Anal Calorim 132:1677–1692. https://doi.org/10.1007/s10973-018-7077-2
Dunn B, Kamath H, Tarascon JM (2011) Electrical energy storage for the grid: a battery of choices. Science (80)334:928–935. https://doi.org/10.1126/science.1212741
Emmel D, Hofmann JD, Arlt T et al (2020) Understanding the impact of compression on the active area of carbon felt electrodes for redox flow batteries. ACS Appl Energy Mater 3:4384–4393. https://doi.org/10.1021/acsaem.0c00075
Halls JE, Hawthornthwaite A, Hepworth RJ et al (2013) Empowering the smart grid: can redox batteries be matched to renewable energy systems for energy storage? Energy Environ Sci 6:1026–1041. https://doi.org/10.1039/c3ee23708g
Hsu CT, Cheng P (1990) Thermal dispersion in a porous medium. Int J Heat Mass Transf. https://doi.org/10.1016/0017-9310(90)90015-M
Kaviani M (1995) Principles of heat transfer in porous media, 2nd edn 95 (corrected second printing 1999)
Kim GH, Pesaran A, Spotnitz R (2007) A three-dimensional thermal abuse model for lithium-ion cells. J Power Sources 170:476–489. https://doi.org/10.1016/j.jpowsour.2007.04.018
Kim KJ, Park MS, Kim YJ et al (2015) A technology review of electrodes and reaction mechanisms in vanadium redox flow batteries. J Mater Chem A. https://doi.org/10.1039/c5ta02613j
Kim S (2019) Vanadium redox flow batteries: electrochemical engineering. Energy storage devices. InTech, pp 115–133
Kim KJ, Lee SW, Yim T et al (2014) A new strategy for integrating abundant oxygen functional groups into carbon felt electrode for vanadium redox flow batteries. Sci Rep 4. https://doi.org/10.1038/srep06906
Kim DK, Yoon SJ, Kim S (2020) Transport phenomena associated with capacity loss of all-vanadium redox flow battery. Int J Heat Mass Transf 148: 119040. https://doi.org/10.1016/j.ijheatmasstransfer.2019.
Knudsen E, Albertus P, Cho KT et al (2015) Flow simulation and analysis of high-power flow batteries. J Power Sour 299:617–628. https://doi.org/10.1016/j.jpowsour.2015.08.041
Liu S, Afacan A, Masliyah J (1994) Steady incompressible laminar flow in porous media. Chem Eng Sci 49:3565–3586. https://doi.org/10.1016/0009-2509(94)00168-5
Lohaus J, Rall D, Kruse M et al (2019) On charge percolation in slurry electrodes used in vanadium redox flow batteries. Electrochem Commun 101:104–108. https://doi.org/10.1016/j.elecom.2019.02.013
Mahdi RA, Mohammed HA, Munisamy KM, Saeid NH (2015) Review of convection heat transfer and fluid flow in porous media with nanofluid. Renew Sustain Energy Rev 41:715–734. https://doi.org/10.1016/j.rser.2014.08.040
John Newman NPB (2021) Electrochemical systems, 4th edn
Nield D, Bejan A (2006) Convection in porous media 3rd edn
Noack J, Roznyatovskaya N, Herr T, Fischer P (2015) The chemistry of redox-flow batteries. Angew Chemie Int Ed. https://doi.org/10.1002/anie.201410823
Park JY, Sohn DY, Choi YH (2020b) A numerical study on the flow characteristics and flow uniformity of vanadium redox flow battery flow frame. Appl Sci 10:1–17. https://doi.org/10.3390/app10238427
Park JY, Kim BR, Sohn DY et al (2020a) A study on flow characteristics and flow uniformity for the efficient design of a flow frame in a redox flow battery. Appl Sci. 10 https://doi.org/10.3390/app10030929
Prumbohm E, Wehinger GD (2019) Exploring flow characteristics in vanadium redox-flow batteries: optical measurements and CFD simulations. Chem-Ing-Tech 91:900–906. https://doi.org/10.1002/cite.201800164
Rychcik M, Skyllas-Kazacos M (1988) Characteristics of a new all-vanadium redox flow battery. J Power Sour 22:59–67. https://doi.org/10.1016/0378-7753(88)80005-3
Soloveichik GL (2015) Flow batteries: current status and trends. Chem Rev
Vafai K, Kim SJ (1995) On the limitations of the Brinkman-Forchheimer-extended Darcy equation. Int J Heat Fluid Flow 16:11–15. https://doi.org/10.1016/0142-727X(94)00002-T
Weller HG, Tabor G, Jasak H, Fureby C (1998) A tensorial approach to computational continuum mechanics using object-oriented techniques. Comput Phys 12:620. https://doi.org/10.1063/1.168744
Whitaker S (1996) The Forchheimer equation: a theoretical development. Transp Porous Media 25:27–61. https://doi.org/10.1007/BF00141261
Yang Z, Zhang J, Kintner-Meyer MCW et al (2011) Electrochemical energy storage for green grid. Chem Rev 111:3577–3613. https://doi.org/10.1021/cr100290v
Ye R, Henkensmeier D, Yoon SJ et al (2018) Redox flow batteries for energy storage: a technology review. J Electrochem Energy Conv Storage 15
Yoon SJ, Kim S, Kim DK (2019) Optimization of local porosity in the electrode as an advanced channel for all-vanadium redox flow battery. Energy 172:26–35. https://doi.org/10.1016/j.energy.2019.01.101
Zhang H, Li X, Zhang J (2017) Redox flow batteries: fundamentals and applications. Redox flow batteries: fundamentals and applications, pp 1–432
Acknowledgements
This research was supported by Korea Institute of Science and Technology (2E30993), Dongguk University research fund of 2021, the KRICT Core Research Program (KK2022-20) and Chung Ang University research fund of 2021.
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Kim, S., Jeon, D.H., Yoon, S.J., Kim, D.K. (2022). Modeling Vanadium Redox Flow Batteries Using OpenFOAM. In: Beale, S., Lehnert, W. (eds) Electrochemical Cell Calculations with OpenFOAM. Lecture Notes in Energy, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-030-92178-1_5
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