Design Fundamentals in the Hot and Humid Climate of Iran: The Case of Khoramshahr
Bibliographic record
Abstract
Building design based on principles of architecture in harmony with the climate of each region, in addition to creating thermal comfort in building interiors, reduces fuel consumption and more important it will demonstrate a clean and green environment. This issue becomes more intense in some geological areas like Khoramshahr in Iran, which has a warm, tropical and critical climate, since if this issue is not taking into account, using air conditioning utilities would be necessary in most periods of the year. According to the studies, buildings in harmony with the climate of Khorramshahr will be able to adjust the thermal conditions of their interiors naturally to the human comfort level in 82 % of cases during a year. In such a building, only in 18% of cases during a year, using mechanical systems for cooling the internal spaces is essential. The main problem in this climate is cooling the interior spaces in hot season but in winter these spaces can be kept warm at the level of comfort by using passive or active solar energy or by using simple thermal devices in some situations. This all issues give a good answer to the rules of green architecture which they were carried out by traditional architects as well. Research method of this paper is mainly descriptive and analytical which study the traditional housing of Khorramshahr has been considered for achieving climatic design principles. The results of the studies show that the most problematic issue in this climate is the dry and dusty wind in summer. Since in winter, using solar cooling systems perform a situation that restricts unfavorable climatic factors. In this paper both of above mentioned issues were solved through some guidelines in the area of green architecture.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".