New guidelines for the application of the infinite line source method for thermal response tests on atypical borehole heat exchanger configurations
Bibliographic record
Abstract
This study explores the application of the infinite line source when used to evaluate the temperature response of a thermal response test on a series of boreholes. This can occur in practical applications in which existing borehole fields need recharacterization when: field operation has persisted over multiple years, field modifications have been made, or enhanced understanding of the thermal properties are required for control strategies. In this study new insights towards the start time and duration of the thermal response test indicate that at a minimum duration of 75 h, the data for evaluation should begin after the first 50 h. The effect of horizontal piping connected to a borehole is also evaluated and characterised with respect to the effective length of the borehole heat exchanger. Next, thermal response tests performed on boreholes connected in series are evaluated and it was found that for a Fourier number less than 0.06 the infinite line source is applicable. Finally, the results from the case study are then applied to the model of experimental TRTs performed on boreholes in series with horizontal header pipes. The model uses the experimental inlet mass flow rate and temperature to investigate the heat transfer and thermal interaction between the individual boreholes to capture the outlet temperature. Thermal interaction along the depth of the boreholes are shown to have the majority of the impact on the ILS output. The ILS is able to estimate the thermal conductivity within 5% of the input value for these unique borehole arrangements.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".