Catalytic Wet Oxidation in Three-Phase Moving-Bed Reactors: Modeling Framework and Simulations for On-Stream Replacement of a Deactivating Catalyst
Bibliographic record
Abstract
Phenol wet oxidation over deactivating catalysts in three-phase moving-bed reactors was simulated by formulating and solving a two-scale, nonisothermal, non-steady-state model to highlight the strength of on-stream catalyst replacement, in comparison to catalyst-batch fixed-bed reactors. Simulation results indicate that three-phase moving-bed reactors offer a promising alternative to fixed-bed reactors. The autonomy of fixed-bed reactors is limited due to severe reduction of catalyst activity, while in moving-bed reactor configurations, the decline of pollutant conversion is reduced with increased solid velocity, to compensate for the decrease in catalyst activity loss. The fixed-bed reactor operates in non-steady-state mode, because of the continuous decline of catalyst activity while moving-bed reactors evolve to steady-state operation after a transient period. Decreasing the reactor feed phenol concentration and increasing liquid residence time in the reactor and feed temperature are the best ways to oppose rapid deactivation of catalyst in moving-bed reactors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".