Simultaneous CO<sub>2</sub>/SO<sub>2</sub> adsorption performance of carbide slag in adsorption/desorption cycles
Bibliographic record
Abstract
Abstract Simultaneous CO2/SO2 adsorption performance of CaO derived from carbide slag (an industrial waste product from a chlor‐alkali plant) in multiple adsorption/desorption cycles was investigated in a dual fixed‐bed reactor. The effects of adsorption duration, SO2 concentration, adsorption temperature, desorption conditions, and particle size on carbonation conversion, cumulative sulphation conversion, and total Ca utilization of the carbide slag over multiple cycles were discussed. SO2 presence appreciably impedes the cyclic CO2 adsorption capacity of the carbide slag. A longer adsorption duration causes a sharper drop in the carbonation conversion due to the adverse effect of SO2. The presence of SO2 intensifies the effect of adsorption temperature on the carbonation conversion of the carbide slag. The optimum adsorption temperature for cyclic simultaneous CO2/SO2 adsorption by the carbide slag is 700 °C. The high desorption temperature and CO2 concentration (950 °C, 0.9999 L/L CO2) are not beneficial to cyclic CO2/SO2 adsorption. Both the carbonation conversion and cumulative sulphation conversion of the carbide slag decrease with increasing sorbent particle size in the cycles. The compact CaSO4 product layer covers the surface of CaO derived from the carbide slag during the multiple cycles, which results in a sharp drop in the surface area and pore volume with the cycle number. Compared with limestone, the carbide slag exhibits higher SO2 adsorption capacity and similar CO2 adsorption capacity during the cyclic simultaneous CO2/SO2 adsorption.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".