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Enregistrement W4405588042 · doi:10.1149/ma2024-02453121mtgabs

Niobium Interlayer Coating: Is it a Practical Approach to Tune the Protective Pt Loading in PEM Water Electrolyzers?

2024· article· en· W4405588042 sur OpenAlexaboutno aff
Hossein Kalhori, Mohammadhossein Johar, Leila Moradizadeh, Samaneh Shahgaldi

Notice bibliographique

RevueECS Meeting Abstracts · 2024
Typearticle
Langueen
DomaineEngineering
ThématiqueFuel Cells and Related Materials
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCoatingNiobiumProton exchange membrane fuel cellMaterials sciencePlatinumChemical engineeringMetallurgyNanotechnologyChemistryFuel cellsEngineeringCatalysisOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

The surge in energy demand, along with global warming emissions from natural energy sources, has accelerated the transition towards renewable energies at an unprecedented rate. Among the array of potential candidates, green hydrogen stands out as a particularly promising alternative. In this regard, proton exchange membrane water electrolyzers (PEMWE) have gained widespread acceptance for green hydrogen generation due to their high efficiency and low operating temperatures. However, the relatively high cost of PEMWE components like catalysts, porous transport layer (PTL) and bipolar plates remains a challenge. For instance, commercial PTLs, comprising over 20% of the total PEM stack, often incorporate precious metal coatings to prevent passivation. In this study, we aimed to address the cost issue by replacing precious metal with non-precious metals. Niobium is known for its corrosion resistivity within acidic electrolytes [1]. Here, niobium thin films were deposited onto commercial titanium felt PTLs using pulsed laser deposition (PLD), a technique that allows precise control over film thickness and composition. Corrosion tests were conducted using an electrochemical potentiostat, with end-of-life tests employed for comparison. Results showed improvements in the performance of niobium-supported titanium felts compared to uncoated felts, indicating promise for cost optimization in PEM stacks. To deposit niobium thin films, a pulsed KrF laser with a wavelength of 248 nm was employed. Prior to each deposition, the chamber was evacuated to 5 × 10−5 mbar, followed by the introduction of specific gases such as N2 or He into the chamber during deposition. The choice of background gas is presumed to impact the composition of the niobium based thin films on PTL [2]. The corrosion resistivity of the produced niobium-coated titanium PTLs using two different gases were evaluated using a three electrodes cell. An ex-situ electrochemical setup was designed and 0.5 M H2SO4 electrolyte was used to simulate the electrolyzer media. The temperature was set at 70 °C. Chronopotentiometry was employed to assess the end-of-life characteristics of the samples over a period of at least 10 hours. The thickness of each sample was controlled by X-ray reflectivity (XRR) accompanied by the cross-section scanning electron microscopy (SEM). Corrosion tests were performed on Nb-based thin films with a thickness of 120 nm. Figure 1(a) demonstrate the chronopotentiometry results of niobium-coated samples using nitrogen and helium in compared to bare PTL. In these tests, a constant current density of 400 mA/cm² was applied for an extended duration, allowing the potential to change within the 0-10 V range. These graphs show that with the same current density, the electrochemical potential was found to be lower in niobium-coated Ti PTLs compared to the uncoated counterpart, indicative of enhanced surface conductivity post-coating. It is observed that the potential of uncoated titanium PTL rises after 3 hours of this test. In contrast, both niobium-coated films demonstrated prolonged test duration, with no cessation even after 10 hours, underscoring the advantage of niobium-coated films over bare titanium PTLs. Intriguingly, niobium films subjected to nitrogen gas exhibited a lower potential than counterparts grown in helium, suggesting the potential presence of nitride compounds replacing oxides within the thin film structure of niobium. Given that the electrical conductivity of NbN is higher than that of the NbO structure [3], it can be inferred that the presence of nitrogen may enhance both the electrical conductivity and corrosion resistance of the PTL. Figure 1 (b)-(d) reveals the SEM images of these samples after three hours of the corrosion tests. These results confirm that the surface of the niobium thin film grown in nitrogen exhibited less peeling compared to other niobium-coated and uncoated titanium PTLs. Hence, it is inferred that niobium thin films grown in a nitrogen-rich environment exhibit noteworthy potential for prolonged stability when contrasted with both the uncoated PTL and the niobium-coated PTL developed under nitrogen-deficient conditions. Fig. 1 (a) Chronopotentiometry curve obtained for different coated and uncoated titanium PTLs. The SEM images of the (b) Nb:He, (c) Nb: N2, and (d) uncoated titanium PTLs after three hours of corrosion We would like to acknowledge the support of the Natural Sciences and Engineering Research Council of Canada, Canada Research Chair and PRIMA Québec and Niobay team for their constant support. References [1] Lettenmeier, P.; et al, Scientific Reports 2017, 7 (1), 44035. [2] Roch, T.; et al, Applied Surface Science, 2021, 551, 149333. [3] Daudt, N. F.; et al, Journal of Materials Engineering and Performance, 2020, 29, 5174. Figure 1

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,252
Écart entre enseignants0,233 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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