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Record W2300857330 · doi:10.1149/ma2014-02/1/27

Microfluidic Redox Battery with Symmetric, Dual-Pass Architecture

2014· article· en· W2300857330 on OpenAlexaffabout
Omar Ibrahim, Marc‐Antoni Goulet, Erik Kjeang

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMicrofluidicsRedoxElectrodeBattery (electricity)Materials scienceLaminar flowFlow batteryElectrolyteNanotechnologyVanadiumElectrochemistryChemical engineeringOptoelectronicsChemistryPower (physics)EngineeringPhysics

Abstract

fetched live from OpenAlex

Microfluidic fuel cells and microfluidic redox batteries hold promises for future power generation of portable devices. In these membrane-less cells, a co-laminar interface in the micro-channel provides the separation between the reactants whilst permitting ionic charge transfer [1]. The use of flow-through porous electrodes allowed higher power densities and increased fuel utilization [2]. Recently, a dual-pass architecture utilizing flow-through porous electrodes was reported [3]. The cell achieved power densities up to 0.3 W/cm 2 using vanadium redox species at high flow rates and enabled in-situ recharging. Vanadium is a special element that has four different oxidation sates. Hence, it is commonly used in both electrolytes of a redox flow battery as well as in recent microfluidic electrochemical cells [4-5]. In this study, a microfluidic redox battery (MRB) with flow-through porous electrodes and a symmetric, dual-pass design is presented. The design of the cell is capable of both recharging and regenerative use of the reactant species and therefore, maximizing the fuel utilization. The architecture presented is an extension of our previously reported work [3], with the added modification of splitting each of the two electrodes into two sections, as shown in Fig. (1a) . This modification essentially divides the original MRB into a full upstream cell and a full downstream cell which can be in-situ characterized independently. The advantage of this analytical cell design is a more detailed understanding of reactant conversion in the dual-pass architecture of the MRB which will help with device optimization. The cell was fabricated using soft lithography techniques in polydimethylsiloxane (PDMS) using an SU-8 master and bonded to a glass substrate. Micro-porous carbon paper is used to make rectangular electrode strips for the device. The vanadium redox electrolytes were prepared as described elsewhere [6]. First, preliminary experiments are conducted to test the performance of the upstream cell in order to benchmark the new cell design against regular cells. The cell has an open circuit voltage around 1.51 V at a high flow rate of 100 μL/min. The full polarization and power curves for the upstream cell operated at the same flow rate is presented in Fig. (1b) . These results demonstrate the successful operation of the cell in the discharge mode, where it produced up to 2.5 mW at a current of 4 mA. Moreover, the power output and the fuel utilization of the device are evaluated for both series and parallel connections of the upstream and downstream cells. These comparisons will enable quantification of the coupling between the upstream and downstream cells and evaluation of asymmetric flow separation at the downstream stagnation point of the device. Acknowledgements Funding for this research provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) is highly appreciated. References [1] E. Kjeang, N. Djilali, and D. Sinton, Journal of Power Sources, 186 , 353-369 (2009). [2] E. Kjeang, R. Michel, D. A. Harrington, N. Djilali, and D. Sinton, Journal of the American Chemical Society, 130 , 4000-6 (2008). [3] J. W. Lee, M.-A. Goulet, and E. Kjeang, Lab on a Chip, 13 , 2504-2507 (2013). [4] M. Rychcik and M. Skyllas-Kazacos, Journal of Power Sources, 22 , 59-67, (1988). [5] J. W. Lee, J. K. Hong, and E. Kjeang, Electrochimica Acta, 83 , 430–438 (2012). [6] J. W. Lee, and E. Kjeang, Journal of Power Sources, 242 , 472-477, (2013).

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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)0.001
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 score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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