Experimental Demonstration of Humid Post-Combustion CO2 Capture by Vacuum Swing Adsorption Using CALF-20
Bibliographic record
Abstract
Calgary Framework 20 (CALF-20) is a metal-organic framework deployed for industrial post-combustion CO2 capture. This work explores capturing CO2 from a humid stream using CALF-20. A four-step vacuum swing adsorption (VSA) cycle incorporating a light product pressurization step was examined. Two columns packed with structured CALF-20 were used to perform VSA experiments over a wide range of relative humidity (RH) values (13%, 25%, 45% and 70% RH). Key process performance indicators, purity, recovery and productivity were measured and compared with the dry case basis. At low to intermediate relative humidity (13%-45% RH), the difference between the dry and the wet VSA cycle was minimal. The purity and recovery were approximately 95% and 71% in Case Study 1, and 92% and 81% in Case Study 2, respectively. The temperature and composition histories were similar to the dry. At high relative humidity (70% RH), while CALF-20 could still achieve similar purity, recovery and productivity, reaching low pressure during the evacuation step was difficult due to the water condensation. Each experiment was run for several days (hundreds of cycles) to confirm the long-term stability of the material. CALF-20 also showed good cyclic durability; minimal loss in the CO2 capacity from the used CALF-20 sample (~10,000 cycles) was observed
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".