Optimization of Double-Skin Facades for High-Rise Buildings in Hot Arid Climates
Bibliographic record
Abstract
Adopting technologies to a region requires careful consideration of its functional performance under the given climate. This study investigated how the performance of the double-skin facade (DSF) concept is affected by the materials used to construct the outer skin, i.e. transparent glass and opaque concrete and phase change material (PCM) impregnated concrete, and the amount of perforations or openings in the outer skin in a typical high-rise building under the hot arid climate of the UAE. Findings show that all DSF variants reduce solar gain reaching indoor conditioned spaces and provide an envelope of air in contact with conditioned spaces that is at a lower temperature than outdoor ambient. The combination of these effects provides savings in whole building annual cooling demands. These energy benefits are found to increase as the thermal mass of a DSFs outer skin increases. Whilst savings will be building specific, they can be expected to be in the region of 8% to 20% for a glass DSF, 15% to 45% for a concrete DSF, and 30% to 50% for a PCM impregnated DSF. Results show that increasing the amount of perforations up to 45.6% of external skin area has little impact on the extent of reduction in DSF cavity temperature for glazed and concrete DSF but it does have a significant impact on that of PCM external skins.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".