Performance Evaluation of Photocatalytic Reactors for Air Purification Using Computational Fluid Dynamics (CFD)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The performance of two photocatalytic reactors for air decontamination designated Photo-CREC-air reactors is analyzed using computational fluid dynamics (CFD). Simulations of the original Photo-CREC-air revealed that the occurrence of a dead volume renders ∼68% of the available photocatalyst surface area inactive, resulting in poor air−photocatalyst contact. Moreover, the square cross section of the reactor geometry introduces regions of low ultraviolet (UV) irradiation. These issues are successfully addressed in a modified Photo-CREC-air design, which presents a uniform flow distribution over the photocatalyst surface and, therefore, good air−photocatalyst contact. In addition, the redesigned reactor geometry results in uniform UV irradiation over the photocatalyst. Simulations of reactor operation in continuous mode, with acetone as a model pollutant, revealed that negligible conversions are attained in the original Photo-CREC-air design, whereas conversions of 7.8% are predicted by simulations of the modified reactor. A simulation considering 10 modified Photo-CREC-air reactors in series showed that acetone conversions of 61% could be achieved in such a system.
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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 | 0.005 | 0.001 |
| 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 it