Design of a pre-treatment integrated anaerobic digestion treatment facility for decarbonising whiskey industry: A circular economy perspective
Bibliographic record
Abstract
/day operating under mesophilic conditions for 30 days was designed to facilitate the complete digestion of the substrates. Compared with the conventional digesters, the proposed novel pre-treatment method achieved a 20% increase in methane yield. The energy recovery potential using a combined heat and power unit can cover 24 and 42.5% of the thermal and electrical demand of the distillery, respectively. The capital cost of the proposed facility was estimated as €3.6 million with a payback period of 9.60 years. In comparison, there is a payback period of 15.13 years without the pre-treatment. Additionally, this model decreases the distillery's carbon footprint by 33%. Although the proposed design applies to the distillery in Ireland, results could be used to design distillery plants in other countries.
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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".