Removal model of fine particles from the flue gas of the coal‐fired power plant in a water‐sparged aerocyclone
Bibliographic record
Abstract
This paper describes a novel system of a water‐sparged aerocyclone (WSA) for fine particles (FP) removal in the air stream from a coal‐fired power plant. The effects of operating parameters, including inlet FP concentration ( C 0 (FP)), water jet velocity ( U L ), and air inlet velocity ( U G ) on the removal efficiency of FP ( RE FP ) were investigated. The change of morphology, particle size distribution, and content of heavy metals of the FP samples before and after removal in the WSA were also compared. The results show that the RE of the FP and PM2.5 can reach as high as 99.36 and 99 %, respectively, under optimal conditions. A regression removal model of RE FP = 85.08 × Re G 0.0187 × Re L 0.0037 × ( C 0 (FP)/ ρ FP ) 0.0048 was proposed to predict RE FP , and the calculated RE FP by the model is in agreement with experimental data with deviations of ±0.5 %. This new technology provides an alternative approach for FP removal from exhaust gas and exhibits significant potential for industrial application.
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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 | 0.000 |
| 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 | 0.000 |
| 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".