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Two-Dimensional Mass and Momentum Transport Modeling for PEM Fuel Cells Chunmei Wang Po-Fu Shih Apr 29, 2008 EGEE 520 MATH MODELING
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Abstract Introduction Mass Modeling –Governing Equations –Solutions Momentum Modeling –Governing Equations –Solutions Validation Parametric Study Conclusions
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Introduction Since the first oil crisis of 1973 the world energy prospective seeks a sustainable energy source. Proton exchange membrane fuel cells (PEMFCs) are promising with prototype efficiency of up to 64% and with high energy density. Mathematical modeling was constructed to understand empirical relations of parameters such as water diffusion coefficient, electro- osmotic drag coefficient, water adsorption isotherms, and membrane conductivities etc. Liquid water transport or liquid/gas transport is one of major concerns in the fuel cell modeling. One-dimensional models Verbrugge and Hill (1990) Bernardi and Verbrugge (1991 & 1992) Springer et al. (1991) Two-dimensional PEMFC models Gurau et al. (1998) Wang et al. (2001) You and Liu (200) Figure 1.Two dimensional PEMFC model.
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Mass Modeling Governing Equation: Maxwell-Stefan Mass Transport Solution Initial conditions: Figure 2. Mass distribution in a PEMFC. Where, F i is the driving force on i, at a given T and p, ζ i,j is the friction coefficient between i and j, x j is mole fraction of j. u is velocity.
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Mass Modeling Solutions Figure 3. Mass distribution of H 2 at the anode.Figure 4. Mass distribution of H 2 O at the anode. Figure 5. Mass distribution of O 2 at the cathode.Figure 6. Mass distribution of H 2 O at the cathode.
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Momentum Modeling Governing Equation: Darcy’s Law Solution Initial conditions: Figure 7. Momentum modeling result in a PEMFC. p is pressure, u is velocity, μ is dynamic viscosity, ε is permeability, and K is material conductivity.
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Momentum Modeling Solutions Figure 8. Velocity distribution at the anode.Figure 9. Velocity distribution at the cathode.
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Validation Comparison to work of Yi and Nguyen & He, Yi, and Nguyen Figure 10. Pressure versus y-orientation (COMSOL Model) Figure 11. Pressure versus y-orientation (Yi and Nguyen)
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Validation (Continued) Figure 12. Y-direction velocity versus y- orientation (COMSOL Model). Figure 13. Y-direction velocity versus y- orientation (Yi and Nguyen).
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Parametric Study Figure 14. Without water includedFigure 15. With water included Parameters affect the gas flow and PEM fuel cell performance: Conductivity of the membrane, Operation temperature, Relatively humidity …etc With/without water included in fuel cell
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Conclusions This model agrees with other authors’ models – Because the electro-osmotic drag of water through the membrane, H 2 mass fraction increased as flux flow toward outlet. – At cathode, oxygen content decreased with flow. – The velocity of gases reached at highest value at the corners of electrochemical reactions. This model can help to determine species’ distributions and flow paths
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Questions ?
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