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Record W2599779789 · doi:10.1149/ma2017-01/31/1482

Understanding the Role of the Micro-Porous Layer on Fuel Cell Performance Using a Non-Isothermal, Two-Phase Model

2017· article· en· W2599779789 on OpenAlex
Jie Zhou, Andreas Pütz, Marc Secanell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsAutomotive Fuel Cell Cooperation (Canada)University of Alberta
Fundersnot available
KeywordsProton exchange membrane fuel cellWater transportMaterials scienceElectrolyteChemical engineeringMembrane electrode assemblyElectrodeIsothermal processPorosityWater vaporEvaporationComposite materialChemistryFuel cellsWater flowThermodynamicsEnvironmental engineeringEnvironmental science

Abstract

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Water management is a critical factor in improving fuel cell performance at high current densities [1]. Under dry conditions, keeping the ionomer phase in polymer electrolyte membrane (PEM) and catalyst layers (CLs) sufficiently hydrated is critical to maintaining high protonic conductivity and reducing the ohimc losses. When the cell is operating at high relative humidity, removing the excessive water generated in the electrodes is of importance in order to avoid liquid water accumulation and achieve high performance. An efficient membrane electrode assembly (MEA) design therefore requires an extensive understanding of water management in fuel cells. The use of a micro-porous layer (MPL) in fuel cells is known to improve water and heat management resulting in a better performance. Experimental evidence has shown that remarkable fuel cell performance improvements are still possible by modifying the MPL composition [2] and micro-structure, for instance, by milling holes [3]. In situ heat and water flux measurements conducted by Thomas et al. [4] showed that by inserting an MPL between CL and gas diffusion layer (GDL), the temperature in the electrodes increased by at least 1° C at high current density. The warmer electrode therefore, results in a higher evaporation which also facilitates the diffusive transport of water vapour by creating a higher concentration gradient. Based on experimental observations from the ex situ diffusive vapour flux and liquid permeation flux measurements as well as in situ electrochemical performance with varying MPLs, Owejan et al. [5] hypothesized the role of MPL is to prevent the condensed water in the GDL from forming a liquid film at the GDL/CL interface and creating an in-plane diffusive path for reactant. In their study, the thermal conductivity in porous layers demonstrated a significant impact on improving the performance by creating a higher temperature driven diffusive flux. In order to understand the effects of MPL on capillary-driven flow and phase change induced flow, a multi-dimensional, non-isothermal, two-phase numerical model is developed in OpenFCST [6]. The porous media transport properties for two-phase flow are estimated using a micro-scale mathematical pore size distribution model [1] which is capable of accounting for the layer mixed wettabilities and micro-structure. Experimental validation of two-phase flow models is rarely performed even though it is of importance. In this study, the electrochemical performance of an MEA with a SGL 24BA and SGL 24BC is measured in our laboratory at varying operating conditions and also predicted using the numerical two-phase model. Membrane water transport, water fluxes in liquid and vapour form at cathode boundary, and the phase change induced flow are analyzed for studies with and without an MPL. The performance analysis under hot/dry condition indicates that adding an MPL in the dry condition results in an excessive protonic transport loss in the membrane, especially at high current density. Under hot/wet condition, the additional heat preserved on the electrodes by adding the MPL leads to a substantial reduction in water accumulation. Simulation results at the cold/wet condition highlight that adding an MPL not only leads to a decrease in water accumulation in the electrode but also creates an in-plane diffusion pathway for gas transport in the cathode. The increase in temperature in the electrode also results in a decrease in relative humidity, especially at the anode. This leads to a higher membrane water content gradient between the fully saturated cathode and the anode which results in a higher back diffusion. A parametric study of MPL thermal conductivity suggests that the excessive water in the cathode can be removed as water vapour by decreasing the MPL thermal conductivity under fully humidified conditions. However, an extremely low MPL thermal conductivity can lead to a significant deterioration of performance even at high relative humidity due to the membrane dehydration. The paramteric study highlights the optimal MPL conducivity for our cell. An optimal MPL design requires a comprehensive water balance between membrane hydration and sufficient electrode water evaporation. References: [1] A. Z. Weber et al.,J. Electrochem. Soc., 2004, 151, A1715–A1727. [2] P. G. Stampino et al., Catalysis Today, 2009, 147, S30–S35. [3] R. Alink et al., Journal of Power Sources, 2013, 233, 358–368. [4] A. Thomas et al., International Journal of Hydrogen Energy, 2014, 39, 2649–2658. [5] J. P. Owejan et al., J. Electrochem. Soc., 2010, 157, B1456–B1464. [6] M. Secanell et al., ECS Transactions, 2014, 64, 655–680. Figure 1

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.249
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it