Numerical modeling of coplanar single-chamber micro solid-oxide fuel cells
Bibliographic record
Abstract
Single-chamber micro solid-oxide fuel cells, with interdigitated electrodes on top of an electrolyte surface and operated on a methane/air mixture show great promise for portable power generation. The use of that particular design is however recent and available fuel cell models are therefore not particularly adapted for that configuration. In this thesis, the polarization performance of a coplanar single-chamber solid-oxide fuel cell was modeled, based on available equations and material properties data found in literature. Equations for the different sources of polarization loss (activation, ohmic and concentration) were developed in the model, as a function of material properties, cell geometry, and operating conditions. Finite element model calculations were necessary in order to obtain the gas species concentration distribution in the electrodes. The model showed that, for the particular configuration and operating conditions of the fuel cell in study, the concentration losses are negligible, compared with the activation and the ohmic losses. Experimental polarization results for a reference single-chamber micro solid-oxide fuel cell were compared with the predictions of the model. Comparison with experimental data reflected the importance of obtaining precise information for key material properties of the fuel cell.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".