Treffer: ارائه راهکارهای طراحی اقلیمی در اقلیم گرم و خشک نمونه موردی شهر شیراز.

Title:
ارائه راهکارهای طراحی اقلیمی در اقلیم گرم و خشک نمونه موردی شهر شیراز. (Persian)
Alternate Title:
Providing climate design solutions in hot and dry climates of Shiraz. (English)
Source:
Journal of Applied Researches in Geographical Sciences; 2025, Vol. 25 Issue 79, p430-445, 16p
Database:
Complementary Index

Weitere Informationen

The climatic conditions of various regions in Iran are critical parameters in the design and provision of thermal comfort within residential architecture. This study aims to develop appropriate climate-responsive design models for Shiraz, grounded in thermal comfort indicators. The research employs a descriptive-analytical methodology, utilizing advanced modeling software, specifically the Grasshopper plugin, for simulation purposes. Climatic data for the city of Shiraz has been extracted using the Ladybug plugin, with the relevant EPW file incorporated into the analysis. This data was then employed to simulate climate tables, generate diagrams of flowerbeds, and determine optimal building orientations, in addition to creating psychrometric diagrams to identify the most effective design solutions aligned with the local climate. The findings indicate that Shiraz falls within the climate comfort zone during the winter and spring months, notably in February, March, and April. However, it is important to note that the temperature during these months, with the exception of April 13-16, often exceeds the comfort range. Consequently, it is recommended to position the majority of windows on the southern façade and to incorporate auxiliary heating systems. Conversely, during the months of June, July, August, and September, temperatures surpass the comfort level; thus, the integration of materials with high thermal mass, appropriate shading devices, and the utilization of evaporative cooling systems are essential to alleviate internal conditions and maintain indoor comfort levels. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Applied Researches in Geographical Sciences is the property of Kharazmi University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)