A kinetic model to predict the catalyst lifetime in methanol to olefins conversion
Bibliographic record
Abstract
Abstract The kinetics of deactivation of zeolite and zeotype catalysts in the conversion of methanol to olefins (MTO) was studied. A three‐lump autocatalytic reaction network was considered for methanol conversion reactions. The reversible deactivation rate was considered to be single‐lump and first‐order in reactant concentration and catalyst activity. A correlation was developed for dimensionless catalyst lifetime as a function of a first Damköhler number and dimensionless rate constants ratio. It was used to relate the catalyst lifetime to methanol concentration in the feed, space velocity, crystallite size, and acidity of the catalyst in a fixed‐bed reactor. The model predictions were tested against the published experimental data and favourable agreements were observed. The findings of this work can be used for optimizing reaction conditions to achieve maximum cumulative yield of olefins.
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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 | 0.001 | 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".