Effects of H<sub>2</sub>SO<sub>4</sub> and O<sub>2</sub> on Hg<sup>0</sup> Uptake Capacity and Reversibility of Sulfur-Impregnated Activated Carbon under Dynamic Conditions
Bibliographic record
Abstract
Powder activated carbon (AC) injection is widely considered as the most viable technology for removing gaseous elemental mercury (Hg(0)) in flue gases of coal-fired power plants. However, sulfuric acid (H2SO4) can form on the external and internal surfaces of AC particles due to the presence of sulfur oxides, nitrogen oxides, oxygen, and moisture in flue gases. This work focuses on the effects of H2SO4 and O2 on the Hg(0) uptake capacity and reversibility of sulfur impregnated activated carbon (SIAC) under dynamic conditions. Experiments were conducted with 25 μg-Hg(0)/m(3) of nitrogen or air, using a semicontinuous flow fixed-bed reactor kept at 120 or 180 °C. H2SO4 had a profound hindering effect on Hg(0) uptake due to pore blockage. O2 significantly enhanced Hg(0) uptake and its reversibility, via the oxidation of Hg(0) which facilitated chemisorption and the subsequent physisorption onto chemically adsorbed Hg. Absorption of Hg in H2SO4 was unlikely a significant contributor, when Hg(0) concentrations were at levels of typical power plants (tens of ppb). The reversibility of and relative contributions of physisorption and chemisorption to Hg(0) uptake would change with Hg(0) concentrations in flue gases. These findings could be significant in developing a complete solution for Hg capture where the handling of spent sorbent materials and the possible secondary pollution need to be considered.
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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".