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Record 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 on OpenAlexaboutno aff
Hossein Kalhori, Mohammadhossein Johar, Leila Moradizadeh, Samaneh Shahgaldi

Bibliographic record

VenueECS Meeting Abstracts · 2024
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsnot available
Fundersnot available
KeywordsCoatingNiobiumProton exchange membrane fuel cellMaterials sciencePlatinumChemical engineeringMetallurgyNanotechnologyChemistryFuel cellsEngineeringCatalysisOrganic chemistry

Abstract

fetched live from 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

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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