Journal of Fundamentals of Renewable Energy and Applications
Open Access

Identification of effect of urban neighborhood form on wind behavior environment using computational fluid dynamics (CFD)

International Conference on Renewable Energy and Resources

July 24-25, 2017 Vancouver, Canada

Mohammad Reza Masnavi and Negar Ghobadi

University of Tehran, Iran

Posters & Accepted Abstracts: J Fundam Renewable Energy Appl

Abstract :

This paper aims at investigating the effects of built environment on the local wind-flow and pedestrian wind comfort. It focuses on urban blocks as the finest parcels of built environment and urban form. Several different configurations of urban blocks, each representing a different neighborhood type are selected and examined thoroughly. Firstly, we developed a neighborhood typology framework in terms of the street patterns, hierarchy and urban blockâ�?�?s configurations. Subsequently four common types of neighborhoods are being identified in the context of Tehran city: type A- Shahrak Gharb (in north), type B: Haft hoz Narmak (east), type C-Apadana residential town (south), and type D: Oodlajan neighborhood (city center). In the next step a built area of 20 hectare is being chosen of the four different neighborhood types each with different footprint and density. A computer-based modeling with the use of â�?�?Computational Fluid Dynamic (CFD)â�? method and the â�?�?software FLUENTâ�? is being applied to simulate wind behavior in each area. Equal meteorological conditions i.e. wind velocity and direction is being assumed in the simulation process. The findings demonstrate that wind velocity is associated with much more magnitude in the neighborhoods with higher footprints. The neighborhood type with the lowest amount of footprint (Type D - Apadana neighborhood) therefore, was observed to create more comfortable wind environment for the pedestrians; and is the most appropriate neighborhood form in the meteorological condition of Tehran.

Biography :

Email: masnavim@ut.ac.ir