Study of Mercury Speciation from Simulated Coal Gasification
Bibliographic record
Abstract
The identification and quantification of individual physicochemical forms of mercury (Hg) emissions from coal-fired systems is imperative for addressing questions concerning atmospheric fate and emission control. The flue gas composition and ash characteristics can have a significant impact on Hg speciation. Unfortunately, there is a lack of information available on mercury behavior under gasification conditions, which are different from combustion conditions. A bench-scale test apparatus was designed and built to simulate the synthesis gas conditions. The primary goal of this bench-scale work was to determine which gas constituents typical of gasification (CO, CO 2, HCl, Cl 2, NH 3, HCN, COS, and H 2 S) affect the oxidation of elemental mercury, which was delivered to the system via temperature-controlled permeation tubes. There appear to be a number of interactions between various synthesis gas constituents that affect mercury speciation. The results indicated that the reducing environment is not favorable for Hg oxidation via gas-phase reactions alone and that more elemental mercury is expected to remain in the syngas from coal gasification. However, depending on the temperature and concentration, there is clearly an interaction between fly ash and gas combinations to promote the mercury oxidation rate. Bench-scale tests also indicated that the chemistry of mercury is very complex. Further verification of this study has been planned at a pilot-scale entrained-flow gasifier.
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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 | 0.001 |
| 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 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".