Exploring waste heat recovery from applied smouldering systems
Bibliographic record
Abstract
Applied smouldering systems are used to treat stockpiles of contaminated soils as well as organic liquid/sludge wastes intentionally mixed within a porous medium (e.g., sand). These systems treat virtually all contaminants/wastes, and leave behind a hot, clean, porous media. Large amounts of excess thermal energy are generated during smouldering and ultimately exhausted to the external environment when the hot bed is convectively cooled after treatment. This wasted heat can be harnessed to offset system energy requirements and enhance this system's sustainability, reduce environmental impact, and improve economic competitiveness. In this study, a novel three-dimensional numerical model was developed to simulate treatment bed cooling after smouldering and explore the waste heat recovery potential. Key system parameters and bed temperature data from a real-world commercial smouldering application were used to construct the model boundary and initial conditions. This model quantified the temporal availability and quality (i.e., exergy) of the exhaust waste heat for the first time. The model showed how the practical cooling period lasted 4.1 days, where 86 % of the energy stored in the bed was exhausted over this time and the energy release rate was governed by the bed's cooling velocity. Moreover, it was found that the cumulative output exergy during the cooling phase was 45 % of the cumulative electrical energy needed to drive equipment during the smouldering phase. Therefore, this waste heat could substantially offset the energy requirements in neighbouring systems. Overall, this study reveals the significant opportunity for waste heat recovery from applied smouldering systems.
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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".