Evidence map›Paper›PMID 39035514›Full record

ArticleHeliyon2024

Analysis of the effect of thermal treatment and catalyst introduction on electrode performance in vanadium redox flow battery.

Guanxia Dai, Yanhong Huang, Feihong Chu, Chencong Jin, Hui Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guanxia DaiDepartment of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China.
Yanhong HuangDepartment of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China.
Feihong ChuDepartment of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China.
Chencong JinDepartment of Electrical Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China.
Hui LiuXingtai Key Laboratory of New Energy Optoelectronic Devices and Energy Storage Technology, Xingtai, 054000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All-vanadium redox flow batteries (VRFB) have the advantages of high safety and long life, and have broad application prospects in the field of large-scale power energy storage. Low energy density is the main factor restricting its development. In this study, the carbon felt used as the electrode was pretreated in various ways to improve the performance of the vanadium redox flow battery. The pretreatment conditions of carbon felt were compared to the performance of carbon felt after treatment at different temperatures and different times. The properties of the pretreated carbon felt were investigated and their effect on cell performance was tested.Next, by introducing a noble metal catalyst into the carbon felt, the characteristics of the carbon felt were studied and the effect on the performance of the vanadium redox flow battery was investigated. It was found that Carbon felt thermal-treated at 500 °C for 2 h showed the best characteristics and had the longest charge/discharge time and the lowest resistance. The results also show that Carbon felt with catalyst introduced without PTFE(Polytetrafluoroethylene) binder showed larger BET(Brunauer-Emmett-Teller) surface area and electrical conductivity compared to PTFE mixed, and cell performance was also excellent.

Indexed as

Carbon feltElectrodeNoble metal catalystThermal-treatVanadium redox flow battery

Identifiers

PMID39035514
PMCPMC11259894

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.