Semi-Analytical Method for <i>g</i> -Function Calculation of bore fields with series- and parallel-connected boreholes
Bibliographic record
Abstract
A semi-analytical method for the calculation of g-functions of bore fields with mixed arrangements of series- and parallel-connected boreholes is presented. Borehole wall temperature variations are obtained from the temporal and spatial superposition of the finite line source (FLS) solution. The FLS solution is coupled to a quasi-steady-state solution of the fluid temperature profiles in the boreholes, considering the piping connections between the boreholes. The dimensionless borehole wall temperatures in the bore field and the inlet fluid temperature are obtained from the simultaneous solution of the heat transfer inside and outside the boreholes. The effective borehole wall temperature (i.e., the g-function) is defined based on the dimensionless inlet fluid temperature and a newly introduced effective bore field thermal resistance. The g-function evaluation method is validated against the DST model and its use is demonstrated in a sample simulation of a seasonal thermal energy storage system.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".