ASSESSMENT OF OVERHEATING RISK IN FREE-RUNNING RESIDENTIAL BUILDINGS IN PALESTINE UNDER FUTURE CLIMATE
Bibliographic record
Abstract
This paper addresses the impact of climate change on residential buildings in Palestine, which recently faced an increased risk of overheating. The study investigates the effect of the thermal properties of the building envelope of a single detached house on increasing the building's resilience to climate change. The overheating risk is evaluated using ASHRAE 55 standard under typical historical and future years (2035, 2065, and 2090) based on RCP-4.5 and RCP-8.5 emission scenarios in three climate zones in Palestine (2A,3A and 2B based on ASHRAE 169-2020). The simulation results reveal that the Medium Energy Efficient Building (MEEB) is more effective in enhancing the thermal comfort of the building compared to the Low Energy Efficient Building (LEEB). However, the risk of overheating increases in future climates, particularly in vulnerable populations and specific locations in the hot, dry zones, such as 2B. This necessitates the implementation of combined mitigation strategies, including both active and passive cooling strategies, highlighting the importance of improving the building’s indoor environment and envelope. The findings emphasize the need to incorporate the impact of climate change into building design to ensure energy efficiency, thermal comfort and promote climate-resilient buildings.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".