Enhancing thermal efficiency of passive solar heating systems through copper chip integration: experimental investigation and analysis
Bibliographic record
Abstract
Abstract This study aims to upgrade the thermal performance of a passive solar system, specifically a Trombe wall (TW), by incorporating a metallic absorbent made of copper chips into its absorbent surfaces. The paper compares the thermal performance of a classic TW with that of a copper chip-enhanced TW. An experimental test was set up for classic and copper chip–TW systems, and a full-day experiment was conducted in January 2018 to investigate the thermal performance under the same operating conditions. The experimental data were used to verify a mathematical model based on energy balance. The theoretical study agreed well with the experimental data, with a maximum error of 11% in the absorbent surface temperature valuation. The results revealed that adding copper chips to the TW system boosts its performance by increasing heat gains and improving thermal efficiency. It improves thermal efficiency and enhances the mean room temperature by 12.44% and 14.1%, respectively.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".