A Multiscale Method Coupling Network and Continuum Models in Porous Media I: Steady-State Single Phase Flow

Chu, Jay; Engquist, Björn; Prodanović, Maša; Tsai, Richard

doi:10.1137/110836201

Cited by 39 publications

(20 citation statements)

References 50 publications

(77 reference statements)

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“…Incorporation of multiscale electrochemical phenomena has not been widely attempted in a PN modeling framework as it poses severe computational difficulties due to the need for incorporating partial-differential relationships. There have been limited efforts at building a robust electrochemical transport simulation that takes advantage of both modeling techniques [25,26].…”

Section: Coupled Continuum and Pore-network Modelsmentioning

confidence: 99%

Understanding Water Transport in Polymer Electrolyte Fuel Cells Using Coupled Continuum and Pore‐Network Models

et al. 2016

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Water management remains a critical issue for polymer electrolyte fuel cell performance and durability, especially at lower temperatures and with ultrathin electrodes. To understand and explain experimental observations better, water transport in gas diffusion layers (GDLs) with macroscopically heterogeneous morphologies was simulated using a novel coupling of continuum and pore-network models. X-ray computed tomography was used to extract GDL material parameters for use in the pore-network model. The simulations were conducted to explain experimental observations associated with stacking of anode GDLs, where stacking of the anode GDLs increased the limiting current density. Through imaging, it is shown that the stacked anode GDL exhibited an interfacial region of high porosity. The coupled model shows that this morphology allowed more efficient water movement through the anode and higher temperatures at the cathode compared to the single GDL case. As a result, the cathode exhibited less flooding and hence better low temperature performance with the stacked anode GDL.

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Section: Coupled Continuum and Pore-network Modelsmentioning

confidence: 99%

Understanding Water Transport in Polymer Electrolyte Fuel Cells Using Coupled Continuum and Pore‐Network Models

et al. 2016

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“…For instance, possible capillary condensation effects upon transport (induced as the local chemical potential reaches a specific value for a given pore size or scale) cannot be described using homogenization techniques in which a single density or pressure equation is used for a given type (therefore not accounting for possible adsorption changes induced by transport). It is worth mentioning that many works in the literature use hybrid models, which employ pore scale and continuum descriptions of the same phenomenon in different regions of a computational domain [34][35][36][37]. A number of other upscaling approaches have been reviewed in Refs.…”

Section: A State Of the Artmentioning

confidence: 99%

Bottom-up model of adsorption and transport in multiscale porous media

et al. 2015

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We develop a model of transport in multiscale porous media which accounts for adsorption in the different porosity scales. This model employs statistical mechanics to upscale molecular simulation and describe adsorption and transport at larger time and length scales. Using atom-scale simulations, which capture the changes in adsorption and transport with temperature, pressure, pore size, etc., this approach does not assume any adsorption or flow type. Moreover, by relating the local chemical potential μ(r) and density ρ(r), the present model accounts for adsorption effects and possible changes in the confined fluid state upon transport. This model constitutes a bottom-up framework of adsorption and transport in multiscale materials as it (1) describes the adsorptiontransport interplay, (2) accounts for the hydrodynamics breakdown at the nm scale, and (3) is multiscale.

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“…It is also noteworthy, that the approach seems to be a special case of the Global Jacobian methods of Ganis et al (2012) and Mehmani and Balhoff (2014). Chu et al (2012) proposed an approach based on the heterogeneous multiscale method (HMM), in which macroscopic conservation equations are written assuming unavailability of constitutive fl ow equations (e.g., Darcy's law) at the macro scale. The missing data were instead supplied from locally sampled pore-network simulations across the domain.…”

Section: Hybrid Modelingmentioning

confidence: 99%