Scale‐up of electrochemical flow cell towards industrial CO<sub>2</sub> reduction to potassium formate
Bibliographic record
Abstract
Abstract The CO2 electroreduction reaction (CO2RR) presents a pathway to decarbonize the manufacturing industry by using clean electricity and CO2 as feedstocks instead of relying on fossil fuels. Although known for over 100 years, this technology has yet only been developed at bench‐top scale (1–100 cm2). In this manuscript, we report CO2 electroreduction to potassium formate (HCOOK) in a stack of two 1526‐cm2 three‐compartments electrochemical cells with gas diffusion electrode (GDE) cathodes. In this stack, we achieved over 60 % current selectivity towards HCOOK at current densities of 200 mA cm−2 and under cell voltages of ~4.0 V. We reached these performance metrics by tuning electrolyte composition and cell architecture. We also show that a minimum of +10‐14 kPa of pressure difference must be applied between gaseous and catholyte compartments to enable the CO2RR to take place. We emphasize the challenges associated with scaling‐up a CO2 electrochemical cell, specifically by demonstrating that optimal operation parameters are strongly correlated to cell architecture. This study demonstrates the feasibility of developing CO2RR electrochemical cells to an industrial scale.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".