Research on Influencing Factors of SCR's Cooperative Control in Mercury Emissions From Coal-fired Flue
Bibliographic record
Abstract
The paper analyzed the cooperative control impact of selective catalytic reduction(SCR) denitration device on mercury and chlorine content in coals as well as the impacts of ammonia nitrogen ratios on mercury.Based on the SCR denitration device’s technical principle,taking a 300MW unit as an example,when the unit fueling different coals with different Chlorine contents and under the condition of different ammonia nitrogen ratios,the mercury morphology distribution before and after going through SCR was analyzed by using the Ontario Hydro method.The research shows that the effects of SCR on emission reduction of mercury in flue gas are weak and the changes in the concentration of particulate mercury are small before or after SCR.However,the morphology of mercury changes after the flue gas goes through SCR,and the degree of the change is greatly affected by the chlorine contents in coals.After the injection of element ammonia in flue gas,ammonia shows depressive impact on the mercury conversion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".