Numerical Simulation of a UV-PCO Plate Reactor
Bibliographic record
Abstract
Abstract Ultraviolet photocatalytic oxidation (UV-PCO) system has gained increasing attention in indoor air treatments, of which the PCO reaction kinetics mainly depend on the radiation and airflow (contaminants) fields. It is recognized that the airflow rate has a significant influence on the PCO kinetics with the balance of the VOC mass transfer process. However, there are few discussion for the airflow rate dependency in the PCO kinetic reaction model. In addition, most of the studies in the literature assumed the incident surface irradiance was the energy participating in PCO reactions, which is not accurate. Hence, a 3D Computational Fluid Dynamics (CFD) model, including catalyst photon absorption coefficient, the conservation of mass, momentum, energy, and species, as well as PCO reaction kinetics, was introduced in this study. The determined model parameters were verified by the experimental data for a plate reactor challenged with 10 ppm acetone. The airflow rate dependency was examined in conjunction with CFD providing local flow field information, and the catalyst absorbed light intensity was quantified by a validated radiation model. It was found that the PCO removal efficiency predictions from the developed mathematical model agree with experimental data.
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 | 0.000 | 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 | 0.001 |
| 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".