2015
DOI: 10.1149/2.0841509jes
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The Contamination Behavior of System Derived Organic Model Compounds on PEMFC Based upon Functional Groups

Abstract: In this paper, we investigate contamination mechanisms and quantify the effect of organic model compounds aniline, diethyleneglycol monoethyl ether acetate, diethyleneglycol monoethyl ether, 4-methyl benzensulfonamide, benzyl alcohol, and 2,6-diaminotoluene that have been observed to originate from degradation of balance of plant materials on PEMFCs. In situ voltage loss can be quantified by contamination sources such as Pt, the ionomer, and the membrane using isotherm curves that are prepared by ex situ studi… Show more

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Cited by 10 publications
(20 citation statements)
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“…37) of DEGEE for the absorption mechanism can be estimated as 0.3 to quantify the voltage loss of the ionomer in the electrode by the model. 18,34 Membrane contamination.-In a similar fashion to that described above, the analysis of dimensionless numbers for the membrane contamination by ion-exchange reaction also shows that higher Da 3, 3 and 3 yield the fastest contamination and voltage loss, as shown in Figure 6d. The interesting aspect of membrane contamination is that 3 is a small number due to the large number of moles of ionomer in a typical membrane.…”
Section: Pt Contamination-mentioning
confidence: 59%
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“…37) of DEGEE for the absorption mechanism can be estimated as 0.3 to quantify the voltage loss of the ionomer in the electrode by the model. 18,34 Membrane contamination.-In a similar fashion to that described above, the analysis of dimensionless numbers for the membrane contamination by ion-exchange reaction also shows that higher Da 3, 3 and 3 yield the fastest contamination and voltage loss, as shown in Figure 6d. The interesting aspect of membrane contamination is that 3 is a small number due to the large number of moles of ionomer in a typical membrane.…”
Section: Pt Contamination-mentioning
confidence: 59%
“…We selected the dimensionless numbers by considering the general operating variables (T, i, RH, backpressure, stoic, C A0 ), the system geometry (w, r, h), and the physical constants (N m , δ, D, K, B) used for in situ infusion experiments. 2,[14][15][16][17][18][30][31][32]34,52 Tables I to III list the variables for each contamination source (i.e., Pt = 1, ionomer = 2, membrane = 3). For the purpose of exploring the parameter space for the model predictions, we choose a 2 2 factorial design for each source in terms of the dimensionless numbers (i.e., high and low) as summarized in Table IV for each mechanism. For 1, 2, and 3 (capacity ratios), the Pt catalyst and H + ionomer and membrane concentrations change with feed contaminant concentrations for a specified membrane electrode assembly (MEA).…”
Section: Model Predictionsmentioning
confidence: 99%
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