Competitive CO2/H2O Adsorption on CALF-20
Bibliographic record
Abstract
The equilibrium and breakthrough studies of the H2O adsorption and the competition of CO2/H2O on a physisorbent MOF CALF-20, commercialized for CO2 capture from cement plants, are reported. Volumetric measurements and thermogravimetry were used to measure the water isotherm at various temperatures and relative humidity (RH) values. A Cubic-Langmuir model was used to describe the water isotherms at different temperatures. Both adsorption and desorption dynamic column breakthrough experiments were performed at different RH values to examine different transitions in the isotherm. To quantify the competitive adsorption of CO2 and H2O, both thermogravimetric analysis and dynamic column breakthrough techniques were required. A wide range of relative humidity (RH) values was considered, i.e., 10% to 90% RH. CALF-20 showed high CO2 loadings for RH was smaller than 47%; showing its exceptional capacity to be deployed for CO2 capture from industrial flue gas. Beyond 70% RH, water was strongly adsorbed, resulting in a significant loss of CO2 capacity. In the presence of CO2, CALF-20 showed an unique phenomena where water adsorption was suppressed making it more favourable for practical applications. The modified Langmuir isotherm model was used to describe the competitive CO2 loading as a function of water loadings and temperatures. A one-dimensional column model simulates the water dynamic column breakthrough and competitive CO2/H2O breakthroughs. Both concentration profiles and temperature histories agreed with the experimental results.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".