The role of electrode orientation to enhance mass transport in redox flow batteries

Building Bridges: Unifying Design and Development Aspects for Advancing Non-Aqueous Redox-Flow Batteries

“…On the other side, conductive plates act as current collectors, securing an electrical interfacing with external energy sources or loads [178]. To alter a diffusion regime, to extend an accessible electrochemically active area, and therefore, to ensure more effective mass conversion on the surface of current collector, a macro-porous 3D block of compressible and conductive material is normally introduced on top of the ground plate [179,180]. This configuration enables a considerably improved range of operational current densities supported by RFBs, although the range of accessible electrolyte flow rates is slightly decreased due to the pressure drop over an additional physical obstacle [181,182].…”

Review of Data Science Trends and Issues in Porous Media Research With a Focus on Image‐Based Techniques

“…One of the most well-attended subjects in multi-phase segmentation of porous material images is mineralogy analysis of sedimentary deposits (Andrew, 2018;Da Wang et al, 2020;Karimpouli & Tahmasebi, 2019). Sedimentary rocks are naturally formed by different minerals carried and deposited under high pressure and temperature conditions (Adams et al, 2017) and knowing their internal mineralogy in non-destructively has many applications in mining, petroleum geology and geoscience (Garfi et al, 2020;Massara et al, 2019). As an example of deep learning for multi-phase segmentation of porous material, a study is conducted by Karimpouli and Tahmasebi (2019) to detect different minerals including Quartz, K-feldspar, Clay, Zircon, and Ankerite.…”

“…In the presented definition, the common area between computer science and porous material research is the traditional software platforms (Figure 2), generally used to process the porous material geometries without diving deep into the physical details or governing mathematical equations. In this category, there are several commercial as well as open‐source packages to tackle porous material research questions, such as Avizo (Baychev et al., 2019; Bird et al., 2014; Fernando et al., 2020), ImageJ (Abràmoff et al., 2004; Koestel, 2018; Zhou et al., 2010), COMSOL (Diaz‐Viera et al., 2008; Rokhforouz et al., 2016), Ansys Fluent (Mu et al., 2007; Wang et al., 2014), OpenFOAM (Higuera et al., 2014), GeoDict (Riasi et al., 2016; Wiegmann et al., 2005), PerGeos (Armstrong et al., 2019; Thomson et al., 2017), and MATLAB pre‐developed packages, such as MRST (Lie, 2019), FEATool Multiphysics (Aguiló‐Aguayo et al., 2020), and QuickerSim (Howard et al., 2019).…”

Investigating the Coupled Influence of Flow Fields and Porous Electrodes on Redox Flow Battery Performance

“…While the surface properties of the electrode determine the reaction kinetics and activation overpotentials [34], the three-dimensional structure of the electrode (here referred to as electrode microstructure) is responsible for distributing the electrolyte at low pressure drop, providing the surfaces for electrochemical reactions, delivering mass to and from the electrode surface, and conducting electrons and heat through the solid network. Thus, the electrode microstructure -defined by pore size distribution, porosity, pore morphology, anisotropy ratio and fiber alignment-plays a major role in determining the flow cell performance [23], [35]- [39]. For example, we and others revealed the role of different electrode microstructures on the electrochemical performance and resulting pressure drop, studying several carbon papers, cloth and felt electrodes [27], [40], [41].…”