High Temperature Electrolysis Using a Pilot-Scale Cathode-Supported Tubular Solid Oxide Fuel Cell
Bibliographic record
Abstract
A Siemens cathode-supported solid oxide fuel cell was explored in this study to operate as an electrolysis cell to produce H2 from steam. An in-situ oxygen sensor was implemented in the cell assembly to determine the oxide-to-fuel ratio in the effluent, from which the rate of H2 production and steam utilization were calculated. No H2 was added into the initial steam. The results showed that the rate of H2 production linearly increased with the applied current and the steam can be split into H2 at high utilization. After hundreds of hours' operation, no degradation was observed. However, it was found that the presence of mixed ionic-electronic conduction in the electrolyte/interconnection layers could lead to a lower rate of H2 production and reduced conversion efficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".