Enhanced CO2 methanation over Ni-based catalysts: a comparative study on silica and alumino-silicate supports
Bibliographic record
Abstract
Various catalysts were prepared through wet impregnation of a Ni precursor. Different supports (SiO 2 , SiO 2 Fumed and ZSM-5) and metal loadings were used, yielding catalysts with different specific surface area, metal support interaction and Ni dispersion. All catalysts showed the presence of a crystalline phase referable to NiO as precursor of the Ni active phase. SEM-EDX analysis confirmed a uniform distribution of the active phase on the support. H 2 -TPR analysis allowed to discriminate between two metal oxide reduction temperatures, indicative of metal dispersion and metal-support interaction strength. Provided that the overall peaks intensity increased with raising Ni loading, raising the Ni content led to a higher increase in intensity of a low reduction temperature peak with respect to higher temperature ones. This was attributed to weak interaction between the NiO and the support and bulker metal particles at high metal concentration. The reduction feature separated in two clearly identifiable reduction peaks for the samples with 45 wt% Ni loading. Experimental tests conducted at atmospheric pressure showed very promising results for the catalysts with the highest Ni-loading with the Silica support. Significant differences between the use of SiO 2 and SiO 2 Fumed were found. SiO 2 Fumed supported materials showed a very high SSA, higher pore volume and bigger pore width compared to the other catalysts. A higher NiO reducibility was correlated for all tests with a higher activity towards CO 2 methanation. The bests results have been obtained with 36 wt% and 45 wt% Ni/SiO 2 Fumed. These materials showed the highest CO 2 conversion at 413 °C and 390 °C respectively, with 99 % selectivity towards methane in both cases. Of all of them, the 36 % Ni/SiO 2 Fumed allowed to achieve complete selectivity toward methane at about 390 °C. Ni/SiO 2 Fumed material showed extremely promising results when compared to catalysts reported in literature. Furthermore, the activity and selectivity obtained in the present work referred to a relatively high time factor (Qt/W of 60000 mL h −1 g cat −1 ), demonstrating the achievement of CO 2 conversions close to thermodynamic values at low temperatures, with full selectivity to methane under conditions where very high productivity can be obtained with small reactor volume. This leaves considerable room for optimizing operating conditions, to further improve the catalytic performances. • Active silica- and zeolite-supported Ni catalysts for the methanation of CO 2 . • Activity correlated with Ni dispersion and interaction strength with the support. • 100 % selectivity to methane achieved when reaching thermodynamic conversion. • High hourly productivity of methane due to high activity at short contact time.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".