Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Didierjean, Sophie; Perrin, Jean‐Christophe; Xu, Feina; Maranzana, Gaël; Klein, Mathieu; Mainka, Julia; Lottin, Olivier

doi:10.1016/j.jpowsour.2015.09.053

Cited by 11 publications

(14 citation statements)

References 20 publications

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“…Thomas et al [23] had used a similar method to understand the water fluxes behavior in the PEMFC. Before starting any experiment, humidified air is passed through the membrane for 2 hours to make sure it is fully saturated, as presented by Didierjean et al [24]. Using NMR experiments, they measure that, for a membrane thickness of 50 µm, it requires up to 2 hours to attain a relative humidity of 86%.…”

Section: Methodsmentioning

confidence: 99%

Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements

2021

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Parameters estimation is important in fuel cell modelling and it remains a challenging task to predict. One of the most discussed parameters is the water diffusion coefficient in Nafion R membrane, which has a huge variation (10 −9 and 10 −5 cm 2 s −1 ), based upon the viewpoints of different authors. In this article, the estimation of the effective water diffusion coefficient through water balance method is presented and the effects of relative humidity gradient and cell temperature are explained. The membrane used in this work is Nafion R NRE 211 tested at a temperature of 60 • C and 70 • C with air flows. The value of water flux passing through the membrane is used to calculate the effective diffusion coefficient. A value in the range of 1 × 10 −7 to 4 × 10 −7 cm 2 s −1 is reported and it shows that the water balance method can be applied easily to measure an effective membrane water diffusion coefficient.

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Section: Methodsmentioning

confidence: 99%

Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements

2021

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“…These coefficients can be approximately converted to ka and k d for use in Eq. 17 by dividing them by the local slope of the sorption isotherm, ∂λv/∂a [125], because for small deviations from equilibrium,…”

Section: Vapor Sorptionmentioning

confidence: 99%

“…Although there is disagreement on whether the interfacial mass transfer grows with increasing λ [69,72,162] or not [2,163], the studies that differentiate between absorption and desorption agree that the former is substantially slower than the latter [69,125,162]. To date, the true dependence on moisture is essentially an open problem.…”

Section: Vapor Sorptionmentioning

confidence: 99%

Experimental parameter uncertainty in proton exchange membrane fuel cell modeling. Part I: Scatter in material parameterization

Vetter

Schumacher

2019

Journal of Power Sources

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Ever since modeling has become a mature part of proton exchange membrane fuel cell (PEMFC) research and development, it has been plagued by significant uncertainty lying in the detailed knowledge of material properties required. Experimental data published on several transport coefficients are scattered over orders of magnitude, even for the most extensively studied materials such as Nafion membranes, for instance. For PEMFC performance models to become predictive, high-quality input data is essential. In this bipartite paper series, we determine the most critical transport parameters for which accurate experimental characterization is required in order to enable performance prediction with sufficient confidence from small to large current densities. In the first part, a macro-homogeneous two-phase membrane-electrode assembly model is furnished with a comprehensive set of material parameterizations from the experimental and modeling literature. The computational model is applied to demonstrate the large spread in performance prediction resulting from experimentally measured or validated material parameterizations alone. The result of this is a ranking list of material properties, sorted by induced spread in the fuel cell performance curve. The three most influential parameters in this list stem from membrane properties: The Fickean diffusivity of dissolved water, the protonic conductivity and the electro-osmotic drag coefficient.

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“…Operation under nitrogen allowed a careful and homogeneous control of the relative humidity of supplied gases. Before each impedance measurement, the cell was kept under H 2 for anodic compartment and under N 2 for the cathode compartment at constant RH for one hour, which was sufficient to reach the water concentration equilibrium in Nafion™, for desorption or even for sorption [26]. The spectra were acquired for a range of frequency comprised between 10 kHz and 1 Hz.…”

Section: Potentio-static Electrochemical Impedance Spectroscopy (Eis)mentioning

confidence: 99%

Measurement of protonic resistance of catalyst layers as a tool for degradation monitoring

Gaumont

Maranzana

Lottin

et al. 2017

International Journal of Hydrogen Energy

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International audienceThe ionic resistance of a PEM fuel cell catalyst layer, as well as the double layer capacity and the high frequency resistance are estimated from the impedance spectra of H2/N2 operated cell, thanks to a volumetric electrode model. The impedance spectra are calculated in the case of a homogeneous distribution of resistivity and capacity, and considering both through plane and in plane heterogeneities.Then, results of the degradation of a MEA subjected to four different accelerated stress tests are presented. They consist of (i) a constant current operation, (ii) 1.2 V potential hold with nitrogen and hydrogen (iii) open circuit voltage (OCV) hold with air and hydrogen, and (iv) a start-up protocol where heterogeneous degradations are observed using a linear segmented fuel cell. This technique can provide useful information about the evolution of catalyst layer microstructure during AST

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Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Cited by 11 publications

References 20 publications

Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements

Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements

Experimental parameter uncertainty in proton exchange membrane fuel cell modeling. Part I: Scatter in material parameterization

Measurement of protonic resistance of catalyst layers as a tool for degradation monitoring

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Theoretical evidence of the difference in kinetics of water sorption and desorption in Nafion® membrane and experimental validation

Cited by 11 publications

References 20 publications

Estimation of the effective water diffusion coefficient in Nafion® membrane by water balance measurements

Estimation of the effective water diffusion coefficient in Nafion® membrane by water balance measurements

Experimental parameter uncertainty in proton exchange membrane fuel cell modeling. Part I: Scatter in material parameterization

Measurement of protonic resistance of catalyst layers as a tool for degradation monitoring

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Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements

Estimation of the effective water diffusion coefficient in Nafion^® membrane by water balance measurements