Numerical and experimental study of geothermal energy extraction from underground mines
Bibliographic record
Abstract
Underground mines are valuable sources of geothermal energy. The present study aims to understand the heat transfer phenomenon that takes place during heat extraction from underground mines using two distinctive techniques. In the first technique, geothermal heat is extracted from abandoned mine tunnels by circulating water through the tunnels, which are usually flooded after the mine is decommissioned. The second technique is based on the novel idea of installing geothermal heat exchange tubes in backfilled mine stopes prior to backfill placement in the stope. This second technique is patented by researchers at McGill University. To study geothermal heat extraction from abandoned mine tunnels, a numerical heat transfer model is developed, which takes into account forced convection inside the tunnel, conduction in the rock mass surrounding the tunnel and heat load intermittency. After development, the heat transfer model is validated by comparing its results against results from existing heat transfer models. Effects of various geometric and physical parameters on heat extraction from mine tunnels are studied using the newly developed heat transfer model, and the parameters that have the first-order effect are identified. To investigate the feasibility of the novel technique of heat extraction from backfilled mine stopes, numerical and experimental heat transfer studies are conducted. To assess the performance of a stope-coupled geothermal heat exchanger system, a numerical model is developed. The model is capable of considering the effect of heat conduction as well as natural convection. The results of the developed model are compared with those from existing ground-coupled heat exchanger models. To further validate the developed numerical model, a series of experimental tests are conducted using a small-scale laboratory test setup built for this purpose. By introducing information gathered from a number of Canadian mines into the developed heat transfer model, effects of hydraulic conductivity, thermal conductivity, rate of heat extraction and arrangement of heat exchanger tubes are investigated.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".