Ex situ measurements of through-plane thermal conductivities in a polymer electrolyte fuel cell

Burheim, Odne Stokke; Vie, Preben J. S.; Pharoah, Jon G.; Kjelstrup, Signe

doi:10.1016/j.jpowsour.2009.06.077

Cited by 166 publications

(142 citation statements)

References 9 publications

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“…It is explained in detail by Burheim et. al [29]. It measures the temperature at different equidistant places in the stainless steel cylinders, the temperature drop over the sample and the thickness of the sample.…”

Section: Apparatus -Thermal Conductivity Measurementsmentioning

confidence: 99%

“…It was also shown, that additional contact resistances from stacking can be neglected [29]. The term δ foil /k foil in equation 1, which refers to the current collectors, equals zero in case separators, and can be neglected in case of electrodes [24].…”

Section: Thermal Conductivity Measurementsmentioning

confidence: 99%

“…To indicate the impact of the thermal conductivity values, we used them in a simple model [29]. A pouch cell was modelled with isothermal boundary conditions.…”

Section: D Modelling Of the Internal Temperature Profilementioning

confidence: 99%

See 2 more Smart Citations

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Richter

Kjelstrup

Vie

et al. 2017

Journal of Power Sources

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Section: Apparatus -Thermal Conductivity Measurementsmentioning

confidence: 99%

Section: Thermal Conductivity Measurementsmentioning

confidence: 99%

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Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Richter

Kjelstrup

Vie

et al. 2017

Journal of Power Sources

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“…cycles of increasing compression up to a maximum value and releasing compression to 0 -was investigated and steady-state (in the investigated case reached after 5 cycles) properties were determined (Sadeghi et al, 2010). Further, it was found that residual water in the GDL leads to a significant increase of through-plane thermal conductivity (Burheim et al, 2010;Burheim et al, 2011). The influence of PTFE distribution on thermal conductivity is discussed in section 3.3.…”

Section: D Structurementioning

confidence: 99%

“…Nevertheless, the direct measurement is for several reasons nontrivial: due to the anisotropy of the GDLs, the thermal conductivity is expected to be anisotropic as well. Furthermore, the through-plane thermal conductivity as well as the contact resistance change with a compression of the GDL (Burheim et al, 2010;Sadeghi et al, 2011a). Recently, the measurement of in-plane thermal conductivities has been reported (Sadeghi et al, 2011b;Teertstra et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Computation of Thermal Conductivity of Gas Diffusion Layers of PEM Fuel Cells

Pfrang¹,

Veyret²,

Tsotridis³

2011

Convection and Conduction Heat Transfer

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Multi‐objective optimization of temperature uniformity in cathode catalyst layer and performance of PEMFC with an ionomer‐gradient design

Chang

Fan

et al. 2022

Intl J of Energy Research

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Summary Temperature uniformity (TU) of the cathode catalyst layer (CCL) and the power density are two key parameters to describe a fuel cell durability and performance. To achieve desired TU and output performance, a one‐dimensional, non‐isothermal, two‐phase model coupled with a CCL agglomerate submodel is developed and validated in terms of the polarization curve, ohmic impedance and total oxygen transport resistance. Then, the ideal ionomer‐gradient distribution across the triple‐layer CCL is attained by a combination of Non‐dominated Sorting Genetic Algorithm II (NSGA II) and TOPSIS. The results present that the gradient‐decline distribution of ionomer towards the microporous layer (MPL) contributes to the larger power density and effective utilization of ionomer. The fuel cell can also operate at higher power with a top voltage range (TVR). After optimization, the ideal ionomer‐gradient distribution affects the distribution of the total heat source by affecting the local oxygen transport resistance across the ionomer film and the volumetric current density (Jnormalc). As a result, the maximum temperature point in CCL is more likely to occur near the MPL and the CCL temperature becomes more uniform. Besides, the optimum ionomer‐gradient values tend to be different in various operating voltages and RH cases. However, low voltage and high RH conditions are more highly sensitive to the ionomer‐gradient design. It is possible to maintain a proper TU and desired output performance by optimizing the CCL gradient structure, especially for the stationary PEMFC that operates with a particular condition for a long time. Research Highlights A 1D, non‐isothermal, two‐phase model is validated from multiple aspects. Multi‐objective optimization is performed by combining the NSGA II and numerical model. More uniform CCL temperature and higher power density are achieved after optimization.

show abstract

Ex situ measurements of through-plane thermal conductivities in a polymer electrolyte fuel cell

Cited by 166 publications

References 9 publications

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Computation of Thermal Conductivity of Gas Diffusion Layers of PEM Fuel Cells

Multi‐objective optimization of temperature uniformity in cathode catalyst layer and performance of PEMFC with an ionomer‐gradient design

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