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.I would like to thank God for all His blessings during the process of completing this work.I would like to deeply thank my family for the continuous support and love: my parents
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".