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Record W3211469512 · doi:10.1149/ma2021-0251917mtgabs

Stable Electrodes Fabricated from Carbon Fibers for Electrochemical Double Layer Supercapacitors, Pseudocapacitors and Zn-Air Batteries

2021· article· en· W3211469512 on OpenAlexaff
Zahra Abedi, Desirée Leistenschneider, Weixing Chen, Douglas G. Ivey

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPseudocapacitorSupercapacitorMaterials scienceEnergy storageElectrodeLayer (electronics)NanotechnologyElectrochemistryCarbon fibersElectrochemical energy storageComposite materialChemistry

Abstract

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The ever-increasing demand for sustainable energy has led to the development of inexpensive energy storage devices. The electrode material is one of the most important parts of an energy storage device; the electrode material has a major impact on the device's price, sustainability, environmental friendliness, performance and lifetime. Asphaltene, as a high carbon content by-product of the oil sands industry, currently has a higher supply than demand. Furthermore, asphaltene can be used to prepare low-cost carbon fibers (CFs) as the electrode material in energy storage devices. Electrochemical double layer supercapacitors (EDLCs), pseudocapacitors and the air-electrode in Zn-air batteries (ZABs) were prepared in this study by using asphaltene based CF. Activated carbon fibers (ACFs) were prepared by chemically activating the CF derived from asphaltene produced in Alberta, Canada. ACFs were used to prepare stable, high performance and flexible EDLC and birnessite MnO 2 type pseudocapacitors. CFs were also used as a conductive base layer for spinel type MnCo 2 O 4 , which is an efficient electrocatalyst for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). MnCo 2 O 4 coated CFs were used to prepare stable and high efficiency homemade air electrodes for ZAB. ACFs, that were used as the active material in an aqueous EDLC, had a specific surface area of 2290 m 2 g -1 and total porosity (pore volume) of 1.27 cm 3 g -1 , which includes 0.88 cm 3 g -1 of micropores (pore width < 2 nm) and 0.29 cm 3 g -1 of mesopores (2 nm < pore width < 50 nm). The maximum specific capacitance (C s ) reached was 311 F g -1 at a specific current (i s ) of 0.04 A g -1 ; this was reduced to 248 F g -1 at a specific current of 1 A g -1 . Capacitance retention of this EDLC was 91% after 10,000 cycles. This material was later used in an EDLC device with an ionic liquid electrolyte (EMIMBF 4 , 1-ethyl-3-methylimidazolium tetrafluoroborate); ionic liquid electrolytes provide wider voltage windows. As a result, a specific energy (E s ) of 35.7 Wh kg -1 was achieved at a power density (P s ) of 525.4 W kg -1 . These values are comparable to energy and power values delivered by some batteries. Birnessite-type MnO 2 (δ-MnO 2 ) is a promising material for charge storage devices like pseudocapacitors (slower charge/discharge compared with EDLCs but faster charge/discharge compared with batteries). However, the insulating nature of δ-MnO 2 limits its electrochemical performance. Because of the high performance and high conductivity of ACF used in EDLC devices, this material was chosen to fabricate ACF/δ-MnO 2 composite electrodes to enhance capacitive performance of δ-MnO 2 . δ-MnO 2 was coated onto ACFs through a hydrothermal process. The crystal structure of δ-MnO 2 was subsequently thermally modified to reduce its crystallinity by introducing oxygen deficient defects. These defects acted as active sites to enhance electrolyte ion adsorption/desorption, which improved the capacitive performance. The maximum C s reached for the composite electrode was 327 F g -1 at a specific current of 0.04 A g -1 , which was significantly improved compared to the δ-MnO 2 powder (not coated on ACF, 195 F g -1 at 0.04 A g -1 ). Capacitance retention for the composite electrode was 93% (initial capacitance of 298 F g -1 and final capacitance of 279 F g -1 at 1 A g -1 ), while the retention for the δ-MnO 2 powder was 64% (from 154 F g -1 to 98 F g -1 ) after 10,000 cycles. CFs were utilized to prepare homemade gas diffusion layers (GDLs) for use in air electrodes in ZABs. Air electrodes were prepared with CF carbonized at three different temperatures, i.e., 500 o C, 800 o C and 1500 o C. the ORR and OER activity of the homemade air-electrodes, as well as commercially purchased electrodes, were tested in 1 M KOH. All homemade electrodes showed much better OER activity than the purchased ones. ORR activity was similar for both commercial electrodes and homemade electrodes prepared with CF at 1500 o C (CF-1500). CF-1500 was coated with spinel type MnCo 2 O 4 via a facile sonication procedure. MnCo 2 O 4 coated CF-1500 had excellent catalytic activity towards both ORR and OER, outperforming the bench mark Pt-RuO 2 catalyst. The cycling behavior of CF-100 was very stable with initial and final efficiencies of ~63% and ~58%, respectively, after 200 cycles (100 h) of charge and discharge at 10 mA cm -2 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.236
Teacher spread0.218 · 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".

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Citations1
Published2021
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