Field-scale Experimental Analysis of Helical Steel Piles as in- Ground Heat Exchangers for Ground Source Heat Pumps
Bibliographic record
Abstract
This thesis investigates the performance of Helical Steel Piles (HSPs) as in-ground heat exchangers for Ground-Source Heat Pump (GSHP) systems. Eight HSPs with integrated plastic tubing for fluid circulation were installed at the Eby Rush Transformer Station in Waterloo, Ontario. The CFD model simulations needed for the design of the experimental site as well as the installation process is detailed in Chapter 2. The control strategy and the tests required to assess the performance of the system are presented in the same chapter. Chapter 3 presents the CFD model modifications, optimization, and validation based on the harvested data from the experimental site. The capacity, coefficient of performance (COP), and power consumption of this novel system were investigated through conducting heating and cooling tests. The results indicate the feasibility of using HSPs as in-ground heat exchangers to provide sustainable thermal energy.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".