Higher Alcohols Synthesis: Experimental and Process Parameters Study over a CNH-Supported KCoRhMo Catalyst
Bibliographic record
Abstract
The present work investigated the effects of operating conditions (temperature ( T ), pressure ( P ), and gas hourly space velocity (GHSV)) on the higher-alcohols synthesis reaction, using a downward-flow fixed-bed reactor. The carbon nanohorn (CNH)-supported KCoRhMo catalysts with compositions of 9% K, 4.5% Co, 1.5% Rh, and 15 wt % Mo were used for this study. The Design Expert software was used to analyze the interaction effects of T (290–370 °C), P (800–1400 psig), and GHSV (2.4–4.8 m 3 (STP)/kg cat /h) on CO conversion, alcohols, and hydrocarbon product selectivities, as well as their respective yields. The validity of the models was assessed by statistical tests: test of significance and coefficient of determination ( R 2 ) values. The recorded R 2 values suggested that the quadratic models generated could sufficiently depict the experimental data. Increasing temperature and pressure in the ranges of 290–350 °C and 800–1400 psig, respectively, resulted in corresponding increases in CO conversions; however, with increasing GHSV, the CO conversion decreased monotonically. Numerical optimization assessments of the models selected the optimum operating conditions to be 325 °C, 1320 psig, and 2.4 m 3 (STP)/kg cat /h to give the maximum ethanol and higher alcohols space time yields of 0.126 and 0.177 g/g cat /h, respectively.
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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 | 0.001 | 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 | 0.001 |
| 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".