Thermodynamic modelling of a proton exchange membrane fuel cell
Bibliographic record
Abstract
This paper presents the thermodynamic modelling of a proton exchange membrane (PEM) fuel cell at various operating conditions through energy and exergy analyses. In addition, the correlations and equations available in literature were used to determine thermodynamic irreversibilities in the PEM fuel cell at different operating conditions such as cell temperature, pressures of anode and cathode, current density, and membrane thickness as a design parameter. In accordance with the practical conditions, it is considered that the anode and cathode pressures range from 3 to 5 atm; cell temperature from 50 to 80°C. Also, the membrane thickness is chosen as 0.016, 0.018 and 0.02 cm, respectively. Depending on these data, thermodynamic irreversibilities throughout PEM fuel cell operation are estimated and discussed in detail. Consequently, it is found that thermodynamic irreversibilities in fuel cell increased with a rise of membrane thickness and with a decrease of the cell temperature and pressure.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".