Design of an Air-Cooled Sabatier Reactor for Thermocatalytic Hydrogenation of CO<sub>2</sub>: Experimental Proof-of-Concept and Model-Based Feasibility Analysis
Bibliographic record
Abstract
This study assesses the techno-economic feasibility of using a single-pass, air-cooled Sabatier reactor for the thermocatalytic conversion of CO 2 into renewable natural gas (RNG). The reactor was first analyzed numerically using a dynamic mathematical model. Effects of the feed rate, coolant type (compressed air vs molten salt), and cooling rate on the reactor performance were investigated. Next, the experimental proof-of-concept was provided using an autonomous Sabatier reactor (62 g of Ni/Al 2 O 3 catalyst), including stability tests up to 100 h time-on-stream. Both simulations and experimental investigation have shown that, with a proper selection of operating parameters, it is possible to achieve CO 2 conversions higher than 90%, while keeping the selectivity to CH 4 production at 100%. On the basis of these results, a large-scale system for RNG generation from landfill gas has been designed, simulated, and analyzed, resulting in the RNG production cost as low as $15/GJ for the electricity price of $0.05/kWh.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".