Ethanol production from sweet potato: The effect of ripening, comparison of two heating methods, and cost analysis
Bibliographic record
Abstract
Abstract Currently, biomass contributes to ∼14 % of global energy needs. Therefore, many studies and policies have been developed in order to expand the participation of renewable energy in the global energy matrix. In this context, ethanol has received substantial interest. This work investigates ways to improve efficiency in ethanol production from sweet potatoes, considering the costs that make the process potentially implementable. The following aspects were investigated: (i) conversion efficiency according to the post‐harvest time; (ii) influence of the heating method (water bath (conventional) and microwave) as well as the corresponding processing costs. The conversion efficiency increased significantly during sweet potato ripening, where the highest value was achieved 25 days after harvest. This is a very important result since it has a strong impact on the final cost. Among the heating methods, the conventional one was slightly superior in terms of conversion efficiency (9 % higher at 25 days) and also had better results regarding cost analysis. Among four designed scenarios, the largest cost difference was 17.5 %. Instead of a definitive elimination of microwave heating, the results should be analyzed to identify where the microwave heating should be improved in order to make it more attractive in the future.
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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 | 0.000 |
| 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".