Passive application of phase change materials (PCMs) for the Trombe wall: a review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Passive sustainable buildings are crucial for mitigating the energy crisis and addressing global warming by effectively reducing greenhouse-gas emissions and maximizing solar-energy utilization. This is particularly significant considering the energy consumption of heating, ventilation, and air-conditioning systems. The Trombe wall system is regarded as one of the most effective passive building technologies owing to its potential ability to store and release thermal energy to reduce temperature fluctuations and improve thermal comfort. More importantly, these effects can be enhanced by employing appropriate storage materials, particularly phase change materials (PCMs), owing to their unique thermal properties: high heat-storage capacity within narrow temperature variations. Therefore, this study reviews the passive application of PCMs to Trombe walls developed over the last 40 years. This study summarizes the PCM thermal-energy storage mechanism, classification, and encapsulation and provides a comprehensive list of different PCMs appropriate for Trombe walls in the laboratory or on the market. This work also provides a comprehensive and updated review of PCM Trombe wall configurations, including passive heating and passive hybrid (cooling and heating) configurations. Based on the review results, the main directions for future studies are established and proposed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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