Long-term soil thermal imbalance analysis of the energy pile considering ambient thermal boundary
Bibliographic record
Abstract
Long-term operation is crucial for energy piles, significantly affecting the pile thermal performance and soil thermal field. However, research on long-term behavior remains limited. This study conducted model tests with a scaled energy pile, involving 1 week of continuous thermal injection, followed by a validated 3D thermo-hydro-mechanical numerical model. The model simulated a 10-year operation under annual ambient temperature in Shanghai and typical building thermal loads. Test results showed ambient temperature significantly influenced the thermal field distribution, even in deeper soil layers within a short period. Long-term simulations revealed that constant or insulated soil surface conditions overestimated pile temperatures and caused excessive soil temperature rises. Soil thermal imbalance expanded from the pile vicinity to surrounding regions, with thermal accumulation shifting downward and forming a transition zone in the upper soil. Regions with soil temperatures exceeding the initial level were defined as the thermal impact zone, simplified as a circular area at the same depth. Over time, the thermal impact range stabilized annually and varied linearly with depth. However, the prolonged operation caused the range to progressively contract toward the pile, indicating depth-wise “shrinkage”. These observations suggest energy pile design can be optimized to mitigate thermal interference on adjacent piles.
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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 | 0.001 |
| 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".