Enhancing dimethyl ether production as a renewable fuel using a high-performance BEA zeolite membrane reactor
Bibliographic record
Abstract
This study evaluates the performance of a catalytic membrane reactor (MR) utilizing newly synthesized BEA zeolite membranes for the production of dimethyl ether (DME) as renewable fuel. BEA zeolite was synthesized and deposited as thin catalytic film on a porous alumina tube support and its structure, thickness, and crystal morphology were analyzed and optimized using SEM, XRD, EDS, XPS and in-situ FT-IR. Methanol conversion and DME selectivity were assessed at various temperatures (200–260 °C) and weight hourly space velocities (WHSVs) (3.5–21.1 h −1 ). The BEA MR demonstrated a good methanol conversion (88 % at 3.5 h −1 and 200 °C) even at high WHSV values, with full DME selectivity. The addition of water in the feed stream was also assessed, observing a reduction of conversion. Durability tests revealed a gradual decline in MR performance over time, yet the MR maintained good performance, with an initial MeOH conversion of approximately 88 %, remaining relatively stable for the first 70 h at 200 °C and 3.5 h −1 . Subsequently, the conversion decreased but remained above 70 % for up to 144 h. The membrane successfully recovered its initial performance after multiple regeneration cycles, confirming its suitability for longer term operations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".