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Record W3214399117 · doi:10.1149/ma2021-024497mtgabs

Degradation of the All-Vanadium Redox Flow Battery in the Presence of Metal Impurities

2021· article· en· W3214399117 on OpenAlexaff
Maedeh Pahlevaninezhad, Majid Pahlevani, Edward P.L. Roberts

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysis and Oxidation Reactions
Canadian institutionsQueen's UniversityUniversity of Calgary
Fundersnot available
KeywordsVanadiumRedoxDegradation (telecommunications)Flow batteryImpurityMetalInorganic chemistryBattery (electricity)Materials scienceChemistryChemical engineeringMetallurgyElectrodeElectrolyteThermodynamicsComputer scienceOrganic chemistryPhysical chemistry

Abstract

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Vanadium redox flow batteries (VRFBs) are a promising technology to advance grid scale energy storage and renewable energy generation integration. However, the cost of the electrolyte is a major challenge for implementation of VRFBs [1, 2]. Electrolyte quality and purity have a significant impact on the cell performance and cost. The presence of impurities even at low concentrations in the vanadium electrolyte solution can cause the instability of the electrolyte and influence cell performance, energy density, operating temperature range, electrochemical kinetics, and production/operation costs [3-6]. However, there is no universal standard for the electrolyte specifications in the market, and a high purity electrolyte is favored by researchers and technology developers to avoid potential detrimental impacts of impurities on the system performance. There is thus a need for improved understanding of the impact of electrolyte impurities on the degradation of VRFBs is vital for commercialization of VRFBs [7]. This study aims to evaluate the effect of iron, aluminum, and manganese ions (Mn 2+ , Fe 2+ and Al 3+ ) on the VRFB performance and the degradation of materials used in the VRFB cell. The battery performance was evaluated using a ‘zero-gap’ flow cell with an electrode area of 5 cm 2 . An electrolytic solution containing 1.6 M VOSO 4 solution in 3 M H 2 SO 4 was circulated through the cell. Thermally treated carbon papers were used as the cathode and anode electrodes. For charge-discharge experiments, constant current density (in the range 10 to 80 mA cm −2 ) was applied with 1.65 and 0.8 V as upper and lower voltage limits. The effects of each impurity were studied at 0.1 M concentrations through charge-discharge experiments. Material characterization analysis (SEM-EDS, XRD, Raman spectroscopy, and UV-Vis) were conducted before and after cycling to provide a better understanding of the effects of the impurities on the electrode, membrane, and electrolyte degradation. Based on the results obtained from these experiments, the effects of each impurities in the electrolyte can be ascertained providing an important reference for electrolyte manufacturing and regeneration. Figure 1 compares the morphologies of the carbon paper electrodes used in the positive and negative sides of the VRFB, before and after 200 cycles of operation, captured by SEM (Figure 1a, 1b). Carbon papers have a smooth fiber surface with small flakes scattered on the surface. The surface of the fresh carbon paper was smooth as shown in Fig. 1a. In the absence of impurities, the electrode morphology appears to be almost unchanged by after 200 cycles, although the surface of the carbon fibers may be slightly rougher. However, a different structure was observed are cycling with an electrolyte containing Al 3+ impurity ions. A solid phase has blocked the electrode pores and precipitated on the active surface area of the electrode. This precipitate adhered to the carbon paper electrode surface and changed the surface structure, hindering interfacial contact between the electrolyte and electrode [8] resulting in performance degradation of VRFB. The observations of electrode morphology changes are consistent with voltammetric analysis and the observed degradation of battery performance. References: [1] A. Parasuraman, T.M. Lim, Ch, Menictas, M. Skyllas-Kazacos, A review of electrolyte additives and impurities in vanadium redox flow batteries, Electrochimica Acta, Vol.101, pp.27-40, 2013. [2] Cao, L., Skyllas-Kazacos, M., Menictas, Ch., Noack, J., A review of electrolyte additives and impurities in vanadium redox flow batteries, Journal of Energy Chemistry, Vol.27, pp.1269-1291, 2018. [3] A.K. Singh., N. Yasri., K. Karan, E.P. L. Roberts, Electrocatalytic Activity of Functionalized Carbon Paper Electrodes and Their Correlation to the Fermi Level Derived from Raman Spectra, ACS Appl. Energy Mater. 2019, 2, 2324−2336. [4] John, J. St., Imergy uses recycled vanadium to cut materials costs for flow batteries, Greentech media, 2014. [5] A.K. Singh, M. Pahlevaninezhad, N. Yasri, E. Roberts, Degradation of Carbon Electrodes in the All-Vanadium Redox Flow Battery, ChemSusChem. (2021),14- 1-13. [6] J.H. Park, J.J. Park, H.J Lee, B.S. Min, J.H. Yang, Influence of Metal Impurities or Additives in the Electrolyte of a Vanadium Redox Flow Battery, Journal of The Electrochemical Society 165(7), page A1263-A1268, 2018. [7] Ding, M., Liu, T., Zhang, Y., Cai, Z., Yang, Y., Yuan, Y., Effect of Fe (III) on the positive electrolyte for vanadium redox flow battery, R. SOC. open sci. 6: 181309, 2019. [8] M. Ding, T. Liu, Y. Zhang, Stability and Electrochemical Performance Analysis of an Electrolyte with Na+Impurity for a Vanadium Redox Flow Battery in Energy Storage Applications, Energy and Fuels. 34 (2020) 6430–6438. 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.016
GPT teacher head0.235
Teacher spread0.219 · 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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Citations0
Published2021
Admission routes1
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