Valorization of Coal Fly Ash as a Stabilizer for the Development of Ni/CaO-Based Bifunctional Material
Why this work is in the frame
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Bibliographic record
Abstract
Sorption-enhanced glycerol steam reforming (SEGSR) is considered as one of the promising processes for H2 production by combining glycerol steam reforming with simultaneous CO2 capture in a single-unit operation. The key challenge for a successful SEGSR process is the selection of suitable high-temperature CO2 sorbents with high resistance to sintering. In the present work, an attempt was made to modify a CaO-based sorbent by adding different types of coal fly ash (FA1–FA12) to develop highly effective and economical CaO-based sorbents suitable for CO2 removal at high temperatures. Among the synthesized sorbents, the 90%CaO–FA5 sorbent offered the most stable CO2 capture activity over 20 cycles, with a CO2 capture capacity of 0.58 gCO2/gsorbent at the 1st cycle and 0.45 gCO2/gsorbent at the 20th cycle. This can be attributed to the relatively high amounts of SiO2 and mullite (inert materials) in FA5 compared with those of the other FA-containing samples. The presence of these inert materials helps enhancing the sorbent stability by hindering their aggregation and sintering. This sorbent was then selected to synthesize a bifunctional catalyst–sorbent material for H2 production via SEGSR. The 15%Ni–CaO–FA5 bifunctional material exhibited a stable H2 purity of ∼97% and a H2 yield of ∼90% for 30 min (prebreakthrough) of the SEGSR reaction. These results highlight the high potential of FA5 as a low-cost stabilizer for improving the stability of CaO-based sorbents.
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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 | 0.000 | 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) | 0.000 | 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 it