Development of an oxygen mass transport coefficient measurement and separation method for proton exchange membrane fuel cells

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

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  • University of Hawaiʻi at Mānoa
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Details

OriginalspracheEnglisch
Seiten (von - bis)153-162
Seitenumfang10
FachzeitschriftECS Transactions
Jahrgang98
Ausgabenummer9
PublikationsstatusVeröffentlicht - 2020
VeranstaltungPacific Rim Meeting on Electrochemical and Solid State Science 2020, PRiME 200 - Honolulu, USA / Vereinigte Staaten
Dauer: 4 Okt. 20209 Okt. 2020

Abstract

In this work, we use a method to separate the total oxygen mass transport coefficient into molecular, Knudsen, and ionomer contributions. Therefore, limiting current density measurements are carried out as a function of the diluent gas (He, N2, CO2), temperature (30, 50, 80 °C), relative humidity (50, 75, 100 %), and oxygen concentration (1, 3, 5, 7 %) using state of the art membrane electrode assemblies with three platinum loadings (0.05, 0.1, 0.15 mg/cm2). As expected, the molecular diffusion coefficient is independent of the platinum loading, but increases with temperature to a varying degree depending on the humidity level. On the other hand, the Knudsen diffusion coefficient increases with increasing electrochemical active surface area and temperature, and with decreasing relative humidity. The separation procedure includes a novel feature to isolate the ionomer mass transport resistance. Its interpretation as well as the method's reliability are critically questioned using operating condition dependencies.

ASJC Scopus Sachgebiete

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Development of an oxygen mass transport coefficient measurement and separation method for proton exchange membrane fuel cells. / Buehre, Lena Viviane; Suermann, Michel; Bethune, Keith et al.
in: ECS Transactions, Jahrgang 98, Nr. 9, 2020, S. 153-162.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-Review

Buehre LV, Suermann M, Bethune K, Bensmann B, Hanke-Rauschenbach R, St-Pierre J. Development of an oxygen mass transport coefficient measurement and separation method for proton exchange membrane fuel cells. ECS Transactions. 2020;98(9):153-162. doi: 10.1149/09809.0153ecst
Buehre, Lena Viviane ; Suermann, Michel ; Bethune, Keith et al. / Development of an oxygen mass transport coefficient measurement and separation method for proton exchange membrane fuel cells. in: ECS Transactions. 2020 ; Jahrgang 98, Nr. 9. S. 153-162.
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abstract = "In this work, we use a method to separate the total oxygen mass transport coefficient into molecular, Knudsen, and ionomer contributions. Therefore, limiting current density measurements are carried out as a function of the diluent gas (He, N2, CO2), temperature (30, 50, 80 °C), relative humidity (50, 75, 100 %), and oxygen concentration (1, 3, 5, 7 %) using state of the art membrane electrode assemblies with three platinum loadings (0.05, 0.1, 0.15 mg/cm2). As expected, the molecular diffusion coefficient is independent of the platinum loading, but increases with temperature to a varying degree depending on the humidity level. On the other hand, the Knudsen diffusion coefficient increases with increasing electrochemical active surface area and temperature, and with decreasing relative humidity. The separation procedure includes a novel feature to isolate the ionomer mass transport resistance. Its interpretation as well as the method's reliability are critically questioned using operating condition dependencies.",
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Download

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T1 - Development of an oxygen mass transport coefficient measurement and separation method for proton exchange membrane fuel cells

AU - Buehre, Lena Viviane

AU - Suermann, Michel

AU - Bethune, Keith

AU - Bensmann, Boris

AU - Hanke-Rauschenbach, Richard

AU - St-Pierre, Jean

N1 - Funding Information: Authors are grateful to General Motors for membrane/electrode assemblies, the Office of Naval Research for award N00014-17-1-2206, and Hawaiian Electric for supporting the Hawaii Sustainable Energy Research Facility operations.

PY - 2020

Y1 - 2020

N2 - In this work, we use a method to separate the total oxygen mass transport coefficient into molecular, Knudsen, and ionomer contributions. Therefore, limiting current density measurements are carried out as a function of the diluent gas (He, N2, CO2), temperature (30, 50, 80 °C), relative humidity (50, 75, 100 %), and oxygen concentration (1, 3, 5, 7 %) using state of the art membrane electrode assemblies with three platinum loadings (0.05, 0.1, 0.15 mg/cm2). As expected, the molecular diffusion coefficient is independent of the platinum loading, but increases with temperature to a varying degree depending on the humidity level. On the other hand, the Knudsen diffusion coefficient increases with increasing electrochemical active surface area and temperature, and with decreasing relative humidity. The separation procedure includes a novel feature to isolate the ionomer mass transport resistance. Its interpretation as well as the method's reliability are critically questioned using operating condition dependencies.

AB - In this work, we use a method to separate the total oxygen mass transport coefficient into molecular, Knudsen, and ionomer contributions. Therefore, limiting current density measurements are carried out as a function of the diluent gas (He, N2, CO2), temperature (30, 50, 80 °C), relative humidity (50, 75, 100 %), and oxygen concentration (1, 3, 5, 7 %) using state of the art membrane electrode assemblies with three platinum loadings (0.05, 0.1, 0.15 mg/cm2). As expected, the molecular diffusion coefficient is independent of the platinum loading, but increases with temperature to a varying degree depending on the humidity level. On the other hand, the Knudsen diffusion coefficient increases with increasing electrochemical active surface area and temperature, and with decreasing relative humidity. The separation procedure includes a novel feature to isolate the ionomer mass transport resistance. Its interpretation as well as the method's reliability are critically questioned using operating condition dependencies.

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ER -

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