A New Membrane-Less Porous Electrode Cell Design for Zinc-Iodide Redox Flow Battery
Bibliographic record
Abstract
A new flow field using a flow through porous electrode for membrane-less flow battery has been evaluated using the zinc-iodide redox system. The flow through the porous electrode enables good mass transport at the zinc electrode, and thus good performance was obtained. The flow through arrangement also allowed separation of the charged species without the use of a membrane. An electrolyte system of zinc-iodide, iodine, and zinc chloride was used. A 5cm2 carbon paper (39AA SIGRACET) was used as the electrode. Cyclic voltammetry studies were carried out for the electrolyte system using a glassy carbon working electrode in the range of -2 to 2V (versus Ag/AgCl) , and the effect of zinc-iodide concentration and different range of scan rate was investigated. Mass transfer modeling of the zinc iodine system during the discharge process was carried out and the concentration profile was obtained. The variation of zinc-iodide concentration along the length of the cathode, resulted in spatial variation in mass flux and current density. The 2-D model is reduced to an equivalent 1-D model for the concentration profile by using realistic boundary conditions at the electrode along with using similarity technique. The effect of Péclet number, zinc-iodide concentration and flow rate on columbic and energy efficiency of the new cell will be presented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".