Heat Transfer Model for an Engineered Landfill in Sainte-Sophie, Quebec, Canada
Bibliographic record
Abstract
A conceptual and numerical heat transfer model was developed for a landfill gas to energy (LFGTE) facility in Ste. Sophie, Quebec. The operating LFGTE facility was instrumented with sensors to measure parameters affecting waste stabilization. Temperature data from the field was used to calibrate a heat transfer model to better understand the thermal processes and parameters. Waste was observed to stay frozen for up to 1.5 years when placed in thick layers during the winter. Detection of oxygen within the top 1 m of waste was directly correlated with temperature rises, indicating a heat source, likely aerobic biodegradation. In simulating the placement of five waste lifts over a five year period, aerobic digestion in the top 1 m generated 56% of the total heat generated. A brief sensitivity analysis was completed and the model was used to show the effect of waste sequencing on the vertical temperature profile over time.
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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) | 0.001 | 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".