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Record W3025656492 · doi:10.1149/ma2020-01371584mtgabs

High Performance and Durable Membrane Electrode Assemblies with Binder-Free Plasma Sprayed Electrodes and Nanocomposite Membranes for Anion Exchange Membrane Electrolyzer

2020· article· en· W3025656492 on OpenAlexaff
Fatemeh Razmjooei, Jasneet Kaur, Hadis Zarrin, Aldo Saul Gago, Syed-asif Ansar, K. Andreas Friedrich

Bibliographic record

VenueECS Meeting Abstracts · 2020
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceElectrolysisMembranePolyvinylidene fluorideChemical engineeringNanocompositeAnodeMembrane electrode assemblyElectrodePolyvinyl alcoholElectrolyteComposite materialPolymerChemistry

Abstract

fetched live from OpenAlex

Hydrogen production via water electrolysis using electricity from renewable power sources is a promising method for storing energy in a large scale. Anion exchange membrane (AEM) electrolyzers have the potential for decreasing the hydrogen cost produced by renewables due to use of non-noble materials and inexpensive components for the membrane electrode assembly (MEA). This work demonstrates a highly active and durable MEA for AEM electrolysis using binder-free atmospheric plasma sprayed (APS) RANEY ® -type nickel and RANEY ® -type nickel-molybdenum electrodes,[1,2] as anode and cathode, respectively in combination with robust two-dimensional hexagonal boron nitride (h-BN)-based anion exchange membranes, nanocomposed with either polyvinylidene fluoride (PVDF) or polyvinyl alcohol (PVA). In this present work, various AEMs with different ionic conductivity and thickness, M1: High-loaded h-BN nanocomposite with PVDF or HL-BN-PVDF (0.23 Scm -1 and 125 mμ), M2: low-loaded h-BN nanocomposite with PVDF or LL-BN-PVDF (0.19 Scm -1 and 80 mμ) and M3: high-loaded h-BN nanocomposite with PVA or HL-BN-PVA (0.36 Scm -1 and 45 mμ) have been used. Three MEAs were fabricated using three membranes of HL-BN-PVDF, LL-BN-PVDF and HL-BN-PVA placed between two APS electrodes denoted as The MEA1, MEA2 and MEA3, respectively, and tested in single AEM electrolyzer cells. The tests are carried out in 1M KOH at 60 ° C. As expected, the highest current, 2.6 Acm -2 , at 2 V is achieved with MEA3, while MEA2 and MEA1 reached 2.95 and 3 A cm -2 , respectively. The performance of AEM water electrolysis with the MEA3 is found to be slightly better than the MEA with the same electrode package but commercial membrane from Fumasep (2.71 Acm -2 at 2.0 V). The stability of the cell with MEA3 is tested under the constant load of 0.5 A cm -2 for 250 h showing negligible degradation. This can be attributed to the high mechanical and chemical stability of the membrane and low dissolution of anodic electrode. Furthermore, the lack of binders or ionomers in the APS electrodes avoids irreversible oxidation reactions of the polymer that can lead to voltage loss over time [3]. Thus, APS electrodes combined with stable nanocomposed (h-BN)-based membranes can potentially lower the cost of the hydrogen produced by water electrolysis. 1. Razmjooei, R. Reißner, A. S. Gago, and A. Ansar, ECS Transactions , 92 (8) 689-702 (2019). 2. Wang, T. Weissbach, R. Reißner, A. Ansar, A. S. Gago, S. Holdcroft, K. A. Friedrich, ACS Appl. Energy Mater . DOI: 10.1021/acsaem.9b01392 (2019). 3. Li, I. Matanovic, A. S. Lee, E. J. Park, C. Fujimoto, H. T. Chung, and Y. S. Kim, ACS Appl. Mater. Interfaces, 11 (10) 9696-9701 (2019).

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How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
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 score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.181
Teacher spread0.173 · 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 teacher head, not a consensus.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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