Simulation Investigation of Natural Ventilation on the Thermal Comfort in Arid Regions: Case Ghardaïa
Bibliographic record
Abstract
Building aeration ventilation may contribute to achieve thermal comfort there by economizing huge amount of electricity that would be supplied using conventional air conditioning systems. Natural ventilation maintains thermal equilibrium between heating and cooling balances. They may also be used in conjunction with other systems in certain circumstances. Model governing equation of physical phenomena enabling description the thermo-aeraulic behaviour. Based on the measurements in winter and summer periods of several physical parameters like the wind velocity and the ambient temperature, the influence of infiltration rate on the thermal comfort were demonstrated. The present study is the simulation investigation the evolution of internal multi-zone temperature of Saharan building in Ghardaïa (32°38 N, 3°78 E), Algeria. Building construction process should take advantage of many practices characterizing location traditional construction. Specifically, satisfaction of seasonal thermal comfort requirement (heating, cooling) and favour maximum solar passive gains. The results showed that the major factor for the reduction of the internal temperature of the studied building is the natural ventilation including the thermal comfort range (20-27)℃.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".