An investigation into application of geothermal energy in underground mines
Bibliographic record
Abstract
Energy conservation is an important policy for every nation. Exploiting sustainable energy resources has gained ground due to shortages and increasing prices of fossil fuels. Mining represents a significant portion of Canada's resource-based industry sector and consumes a huge amount of energy for operation and post-mining activities. Therefore, any cut in energy consumption lowers costs and increases profits. Underground mines have excellent potential for implementation of geothermal energy systems using one of two methods. In the first, underground mine water that has flowed through warm layers of the ground and found its way to mine openings is pumped to the surface for use in open loop geothermal cycles. In the second method, underground openings and spaces that provide easy access to low-to-medium temperature rock formations are used in closed loop geothermal cycles. This research primarily focuses on providing guidelines for using geothermal energy in underground mines and comprises two main parts. The first involves surveying 12 underground mines across Canada to evaluate operation of open loop geothermal system in these and similar mines. The second part investigates the potential of heat recovery from backfilled mine stopes. For this purpose, thermal properties of cemented mine backfill are investigated, the significance of influential parameters is quantified and a thermal conductivity prediction model is introduced. In addition, an experimental physical model is built to study heat transfer in mine backfill and evaluate different arrangements and influential parameters. An analytical model is developed based on the cylindrical coordinate system with finite length and the model is validated for heat transfer in backfill. Finally, a case study of a backfilled stope is presented.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".