Energy balance and greenhouse gas emissions evaluation on biohydrogen production from crude glycerol by dark fermentation.
Bibliographic record
Abstract
Biodiesel production across the globe has resulted in proportional increase of crude-glycerol as by-product.Crude-glycerol is a good carbon source for fermentative hydrogen production over other organic wastes.This study compared energy balance and greenhouse-gas emissions during H 2 production using crude-glycerol derived from different feedstock used for biodiesel production.RESULTS: The energy balance had significant impact by three factors: inoculum, media and electricity.The net energy (MJ) for different feedstock (vegetable source -174.68,multi-feedstock -127.18 and animal waste -97.08) during H 2 production varied with glycerol content.The highest estimated H 2 production was around 21 cm3 with total production of 2.12 L equivalent fossil diesel and greenhouse-gas reduction around (6.14 kg CO2 eq) from 1 kg of crude-glycerol.The total energy input for industrial enrichment of glycerol (1455.20 MJ) is 4 fold times higher in comparison to maximum total energy input of vegetable feedstock (345.16MJ).
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".