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Record W2807451574 · doi:10.1149/ma2018-01/20/1290

Long-Term Evaluation of Modified Activated Carbon Electrodes for Capacitive Deionization

2018· article· en· W2807451574 on OpenAlexaff
Adrián Serrano Mora, David P. Wilkinson, Madjid Mohseni

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapacitive deionizationDesalinationActivated carbonPoint of zero chargeMaterials scienceAdsorptionElectrochemistryElectrodeReverse osmosisChemical engineeringCarbon fibersChemistryMembraneComposite material

Abstract

fetched live from OpenAlex

Capacitive deionization (CDI) is an emerging electrochemical technology for the desalination of brackish waters (1000 – 15 000 mg L -1 TDS). It offers higher water recoveries and it is less energy intensive than reverse osmosis and thermal distillation, the dominant desalination technologies. CDI relies on the electroadsorption of ions on the electrical double layers formed at the electrode surfaces when a potential is applied. As a consequence, a diluted, purified stream of water is produced. Once the surface is saturated, the potential is removed or reversed, and ions are released back into the solution. This process is performed cyclically, and ideally, it could be carried out indefinitely. However, there are secondary reactions that prevent this from being a reality, and the desalination performance will decay over time. In particular, carbon oxidation modifies the electrode surface over time, thus negatively affecting the electrochemical properties such as resistivity, potential of zero charge (PZC), and surface area [1]–[4]. In addition, the oxygen reduction reaction (ORR) consumes charge that otherwise would have been used to adsorb ions. Despite recent significant advances in materials and cell configurations for CDI, the long-term stability of most materials developed has not been studied. As a consequence, there are a number of materials and design approaches reported in literature with enhanced initial salt adsorption capacities but lack any long-term evaluation of the CDI performance. In this research, the utilization of activated carbon based electrodes for long-term capacitive deionization is explored. Specifically, the effect of electrode additives on the improvement of the cycling stability is investigated. The function of these additional materials is to promote oxygen reduction in order to reduce the availability of oxygen that can be incorporated (i.e., by oxidation) onto the electrode surface, and therefore increase the long-term performance [5]–[7]. It is presumed that, if these secondary reactions can be controlled, the process of oxidation will be delayed to some extent, therefore extending the life of the electrodes and offering acceptable desalination for a longer period of time. Non-precious additives which are able to promote the ORR are incorporated into a baseline electrode at different loadings, and their electrochemical properties including their ORR potential are monitored during prolonged cycling in a representative TDS solutions, i.e., as NaCl. Moreover, the disruption of the porous network by these additives is assessed by scanning electron microscopy (SEM) and other characterization techniques. Results from this study will provide insight into the feasibility of using activated carbons for long-term capacitive deionization. Furthermore, the inclusion of additives could offer a relatively simple and cheap solution to the challenge of carbon oxidation, and result in a more robust and efficient desalination technology. References [1] I. Cohen, E. Avraham, Y. Bouhadana, A. Soffer, and D. Aurbach, “Long term stability of capacitive de-ionization processes for water desalination: The challenge of positive electrodes corrosion,” Electrochim. Acta , vol. 106, pp. 91–100, Sep. 2013. [2] F. Duan, X. Du, Y. Li, H. Cao, and Y. Zhang, “Desalination stability of capacitive deionization using ordered mesoporous carbon: Effect of oxygen-containing surface groups and pore properties,” Desalination , vol. 376, pp. 17–24, 2015. [3] E. Avraham, M. Noked, Y. Bouhadana, A. Soffer, and D. Aurbach, “Limitations of charge efficiency in capacitive deionization processes III: The behavior of surface oxidized activated carbon electrodes,” Electrochim. Acta , vol. 56, no. 1, pp. 441–447, 2010. [4] Y. Bouhadana, M. Ben-Tzion, A. Soffer, and D. Aurbach, “A control system for operating and investigating reactors: The demonstration of parasitic reactions in the water desalination by capacitive de-ionization,” Desalination , vol. 268, no. 1, pp. 253–261, 2011. [5] P. Srimuk, M. Zeiger, N. Jäckel, A. Tolosa, B. Krüner, S. Fleischmann, I. Grobelsek, M. Aslan, B. Shvartsev, M. E. Suss, and V. Presser, “Enhanced performance stability of carbon/titania hybrid electrodes during capacitive deionization of oxygen saturated saline water,” Electrochim. Acta , vol. 224, pp. 314–328, Jan. 2017. [6] A. G. El-Deen, N. A. M. Barakat, K. A. Khalil, M. Motlak, and H. Yong Kim, “Graphene/SnO2 nanocomposite as an effective electrode material for saline water desalination using capacitive deionization,” Ceram. Int. , vol. 40, no. 9 PART B, pp. 14627–14634, Nov. 2014. [7] A. G. El-Deen, N. A. M. Barakat, and H. Y. Kim, “Graphene wrapped MnO2-nanostructures as effective and stable electrode materials for capacitive deionization desalination technology,” Desalination , vol. 344, pp. 289–298, Jul. 2014. Figure 1

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.024
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.036
GPT teacher head0.297
Teacher spread0.261 · 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.

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
Published2018
Admission routes1
Has abstractyes

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