Valorization of compost from animal breeding via pyrolysis and combustion
Bibliographic record
Abstract
<abstract> <bold>Abstract. </bold>The pyrolysis and combustion behavior of animal breeding compost (compost blend sample) was evaluated by means of thermogravimetric-mass spectrometric analysis (TGA-MS). The moisture content of the sample was rather high (>40 wt.%) which supposes a mandatory drying step before using these types of samples in thermal applications. The main pyrolytic decomposition of the compost blend sample took place in a temperature range between 200 and 373 ºC. This temperature interval is lower than that observed in other types of biomass (200-450 ºC) and could be attributed to the effect of the ashes content of compost blend sample. The maximum decomposition peak was observed at 350 ºC (1.13 wt.%/ºC). The high residue content (char + ash) could also be influenced by the high K content of the sample, which promotes the char formation. The pyrolysis process was extended up to temperatures above 600 ºC due to the slow transformation of the char. The high amount of Ca and K species seemed to enhance the production of H2 and CH4. On the other hand, the combustion process was developed between 200 and 570 ºC and was characterized by two exothermic peaks. NOx were not detected during the combustion of the sample whereas SOx were found in really lows proportions. The ash produced in the combustion was around 25 wt. %. In addition the kinetics of the process were properly evaluated by the PMSM (Pseudo Multi-component Separate-stage Models) approach and fitted to reaction order one models.
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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".