Thermal Performance of a Proposed Geothermal Piles System for Re-Harvesting Heat Loss through the Building Below-Grade Enclosure in Cold Regions
Bibliographic record
Abstract
Thermal performance of a proposed group of geothermal piles for supplying the energy demand of a building is studied in this paper. The building is located in the Fort-Garry campus of the University of Manitoba in Winnipeg, MB, Canada. Due to the heat loss of the below-grade envelope of buildings in urban areas, soil temperature rises significantly. The proposed geothermal piles are aimed at re-harvesting the heat leaked into the ground through the basement structure. Further, the thermal performance of the proposed geothermal pile system has been analyzed numerically. One of the most important impediments for wide application of geothermal piles in cold regions like Canada, where annual heat extraction from the soil is higher than heat rejection into it, is the underground thermal imbalance which is widely investigated in this study. Based on the results, the temperature of the soil increases up to 6°C due to the heat leakage of basements of both studied building and its surrounding buildings. Despite the injected heat to the ground due to the building heat leakage, the thermal imbalance occurs in the soil in case of supplying 100% of the building heat demand during the winter and 100% of its cold demand during the summer by geothermal piles which necessitates further consideration for efficient application of geothermal energy using thermal piles in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".