The Production of Biofuels from Coconut Oil Using Microwave
Bibliographic record
Abstract
Biofuels including biodiesel, an alternative fuel, is renewable, environmentally friendly, non-toxic and lowemission energy. The raw material used in this work was coconut oil, which contained saturated fatty acids about90% with medium chain (C8-C12), especially lauric acid and myristic acid. Reaction was conducted in batchreactor assisted by microwave. The purpose of this research was to study the effect of power and NaOH catalystin transesterification enhanced by microwave and to obtain a biofuels (biodiesel and biokerosene) derived fromcoconut oil. The reaction was performed by mixing oil and methanol with mole ratio of 1:6, catalystconcentration of 1% w/w with setting electrical power at 100, 264, 400, 600 and 800 W. The reaction time wasconditioned at of 2.5, 5, 7.5, 10 and 15 min. The results showed that microwave could accelerate thetransesterification process to produce biodiesel using NaOH catalyst. The highest yield of biodiesel was 97.76 %,or 99.05 % conversion at 5 min reaction, meanwhile biokerosene was 48% after distillation.
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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 | 0.000 | 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 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".