Extremely High and Average Climate Forecast: Impact on Thermal Performance in Urban Areas

This research aims to compare the extreme and monthly average weather conditions in an urban area model, designed in accordance with Yesilkoy/Istanbul, and examine the effect of mitigation strategies. To achieve this, five urban designs are developed using different geometries (aspect ratio) and materials (albedo level). These configurations were analyzed using Computational Fluid Dynamics software (ANSYS) along with two different meteorological data. Models were simulated using data from 29^th July 2020 for the hottest day and monthly average of July 2020 data. Also, in the study, TS 825 standards are used with a basic model as an evaluation parameter to check the effect of the weather boundary conditions. The outputs aim to enlighten the impact of weather data on the most suitable geometric configuration and best thermal performance design for the given climate projections. The advantages and disadvantages of extreme and average weather data are presented. As a result of the studies, the highest average wall surface temperature observed among the five scenarios using monthly average weather data is 42.12 °C at 2 pm. In contrast, the highest average building surface temperature value observed in the five analyses using extreme weather data reaches 48.7 °C at 11 am.