Performance Optimization of Double U‐Tube Borehole Heat Exchanger for Thermal Energy Storage
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Bibliographic record
Abstract
ABSTRACT This paper presents an optimization study of the thermal performance of a double U‐tube borehole heat exchanger (BHE) with two independent circuits that can be used in borehole thermal energy storage. The study applies the Taguchi method and utility concept to obtain the optimum parameters for two objective functions: maximum heat transfer rate and thermal effectiveness of the BHE. A validated numerical heat transfer model with a fully implicit method is applied to compute the transient heat transfer in the BHE. The Taguchi optimization results revealed that the optimal factors (denoted with letters and numbers showing their levels) for achieving the maximum heat transfer rate and thermal effectiveness are A 1 B 3 C 2 D 1 E 3 F 3 G 3 H 3 and A 3 B 3 C 2 D 3 E 3 F 3 G 1 H 1 , respectively. This resulted in an optimal heat transfer rate of 120 W/m and a thermal effectiveness of 69.3%. Using the utility concept method, a single set of optimal parameters (denoted by their levels as A 3 B 3 C 3 D 2 E 3 F 3 G 2 H 3 ) is obtained to maximize the performance of the BHE. These parameters yielded an optimum heat transfer rate of 87.3 W/m and thermal effectiveness of 54.6%. Finally, analysis of variance (ANOVA) showed that ground thermal conductivity, the inlet temperature of the working fluid, and borehole depth are the most influential parameters affecting the performance of the BHE. The study provides crucial information for performance improvement, enhanced energy savings, reduced environmental impact, and optimization of a hybrid ground source heat pump system that can be integrated with borehole thermal energy storage.
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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 it