Experimental modelling of seasonal thermal energy storage within unconfined aquifer (ATES)
Bibliographic record
Abstract
Aquifer thermal energy storage systems allow the storage of excess heat from summer for use during the winter. This investigation looks at the suitability of a small-scale experimental model as a method for simulating the behaviour of full-scale unconfined aquifers for thermal storage. Thermal energy was stored via the injection of 40, 60, and 80 °C water for a period of 1000 s with extraction being between 1000 and 2000 s. Furthermore, periods of storage between injection and extraction were introduced to simulate potential full-scale heating and cooling demand scenarios. Thermal efficiencies were found to be ∼60% reducing to ∼53% with the addition of a 1000 s storage period. Furthermore, for the model tested in this investigation the temperature of the injected water was found to have little influence upon the efficiency.
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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".