Charging and discharging heat transfer enhancement in a latent thermal energy storage array using petal-shaped tubes and fins
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Bibliographic record
Abstract
This work presents a comprehensive numerical investigation into the enhancement of heat transfer in latent heat thermal energy storage (LHTES) arrays using petal-shaped tubes combined with copper fins. A series of 19 configurations, varying the number of petals from 3 to 6, and fin arrangements were analyzed. The results show that increasing the number of petals from 3 to 6 reduces the melting time to reach a 0.9 melting volume fraction from 102 minutes to 60 minutes and solidification time to a 0.1 melting fraction from 200 minutes to 100 minutes. The optimal configuration (six-petal tube with horizontal fins) achieved a melting fraction of 94% after just 40 minutes, compared to only 91% for the best symmetrical fin case and 57% for the baseline circular tube, demonstrating a reduction in melting and solidification times by more than 50%. Further, the use of petal-shaped tubes with asymmetrical horizontal fins reduced total solidification time by nearly 78% relative to the baseline. This study provides clear design guidelines and quantitative benchmarks for optimizing LHTES units, showing that carefully engineered petal-shaped tubes and fin geometries can significantly advance thermal performance for practical applications in solar energy, waste heat recovery, and building heating systems.
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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 | 0.000 |
| 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