عنوان مقاله [English]
Nowadays the study of climate conditions and potential of each climatic region in order to exploit the possibility of natural ventilation and create comfortable conditions in the interior of buildings is of interest to many researchers, designers and construction architects. Considering the climatic characteristics in humid climates, the main objective of this research is to analyze the potential of natural ventilation in Gilan province regrading to its climatic conditions. To do so, the hourly data of six weather stations including Manjil, Astara, Bandar-e-Anzali, Lahijan, Talash, and Rasht was extracted from IRIMO. These data include wind direction and speed, temperature, dew point, sea level pressure, station level pressure, relative humidity, minimum temperature, maximum temperature, cooler temperature, vapor pressure, saturated vapor pressure. Then, the climatic potential of natural ventilation was calculated for a period of 17 years (2004-2020) using the CPNV numerical model. The results demonestrated that Manjil and Bandar-e-Anzali stations had the highest and lowest natural ventilation climatic potential among the studied stations, respectively. By examining the effect of location and geographical factors, it was found that two factors including the distance from the sea and the height of the station can be effective factors in this potential. However, the station’s height factor showed the greatest impact on the climatic potential of natural ventilation of the studied stations with a correlation coefficient of 0.97. Furthermore, designing thermal maps illustrated that Manjil station has the highest number of comfortable hours compared to other stations. In other words, due to being farther from the sea, higher altitude than the studied stations, windy weather conditions and more balanced water conditions Manjil has the highest potential of natural ventilation throughout the year among the stations of Gilan province.
مدیریت شهری و محیط زیست.
Teodosiu, C., Ilie, V., and Teodosiu, R. (2014). Appropriate CFD turbulence model for improving indoor air quality of ventilated spaces, Mathematical Modelling in Civil Engineering,. 10(4): 28-42.