Modelling and optimization of hydrogen yield in membrane steam reforming reactors
Bibliographic record
Abstract
Abstract Low‐temperature steam reforming is an interesting alternative to traditional hydrogen production methods, making it possible to couple the reactor with solar heating. The main limitation in this process is imposed by thermodynamic equilibrium, which may be overcome by considering the use of a pre‐reformer, in which equilibrium conversions are easily reached, followed by a membrane reactor, in which additional hydrogen production takes place along with its separation from the other products. This work is based on an overview of studies previously carried out by the same authors on the influence of pressure on the interplay between transport, permeation, and reaction in methane steam reforming membrane reactors and focuses on the behaviour of yield, defined as the ratio between the flow rate of hydrogen permeating across the membrane and at the inlet of the reactor. In the present work we show that all the curves depicting the yield, corresponding to a variety of operating conditions, can be rescaled onto a single master curve, thus providing the most compact representation of the reactor's performance. Furthermore, we show that the invariant scaling is robust with respect to changes of the reactor geometry.
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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 | 0.001 |
| 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".