Investigation of advanced NO oxidation process with the delivery of ·OH from thermal decomposition of H<sub>2</sub>O<sub>2</sub>
Bibliographic record
Abstract
Development of an efficient and economic NO oxidation technology is the key step for the simultaneous removal of NO x and SO 2 in coal‐fired power plants. In this work, a novel advanced oxidation process of NO was proposed, which directly delivered highly oxidative hydroxyl radicals (·OH) generated from the thermal activation of H 2 O 2 vapour into flue gas flow. The experiments were demonstrated in a lab‐scale device, measuring the oxidation of NO as the indicator of radical formation and delivery. The influence of various operational parameters on NO oxidation was evaluated. Increasing the H 2 O 2 dosage, the temperature of the hot‐nitrogen, the flow rate of the hot‐nitrogen, and the total gas residence time greatly enhances the NO oxidation. The NO oxidation was inhibited obviously with the increasing of the H 2 O 2 pH and the NO initial concentration. Increasing the H 2 O 2 pH and the NO initial concentration obviously reduced the NO oxidation. The results indicated that the thermal activation of H 2 O 2 is feasible to oxidize NO and that the H 2 O 2 homogeneous thermal decomposition reaction is essential, therefore, the temperature and the flow rate of the hot‐nitrogen can significantly affect the conversion efficiency. Finally, a potential application was proposed, where NO oxidation by gas‐phase H 2 O 2 can be coupled with the general SCR system to meet stringent regulatory requirements and with a low operating cost.
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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".