Experimental Assessment of Characterised PCMs for Thermal Management of Buildings in Tropical Composite Climate
Bibliographic record
Abstract
With rapid growth in urban population, there is a constraint to building space and material usage. The need is to increase the thermal mass of buildings without going back to the heavy construction used in olden days (mud houses). Thus, there is a need to build houses in small space with thin walls. The implications of building such walls is improper solar shielding increasing the inside temperatures during summer. Thus, there is a need to design a system that could result in lowering the peak temperature inside the room. The aim of this study is to test the PCM incorporated building components such as bricks and assess the temperature reduction across the same. It discusses about how phase change materials (PCMs) are competent in conserving energy in buildings through their latent heat storage capacities. PCMs are first characterised using differential scanning calorimeter to assess their thermophysical properties. The results depict the mismatch in heat storage capacity and melting temperature of PCM from as reported in the literature. The results show that with PCM incorporation there is a minimum temperature decrease of 6. The impact of increasing the heat capacity of the building element has also been assessed in the study.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".