scholarly journals Computational fluid dynamics as a method for studying wind comfort

2021 ◽  
Vol 2119 (1) ◽  
pp. 012155
Author(s):  
V D Meshkova ◽  
A A Dekterev
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Comprehensive Analysis ◽  
Wind Flow ◽  
Flow Acceleration ◽  
Wind Speeds ◽  
High Rise ◽  
High Rise Building ◽  
Streamlined Flow ◽  
Wind Comfort

Abstract The paper presents a comprehensive analysis of the wind flow interaction with a high-rise building, considering various types of streamlined flow acceleration, as well as an assessment of the aerodynamic shadow behind the building, and areas with increased wind speeds. The authors analyze risks caused by these zones, as well as suggest measures to minimize them.

The Impact of Relative Position of the High-Rise Buildings on the Wind Flow

2016 ◽  
Vol 820 ◽  
pp. 320-325 ◽  
Author(s):  
Dagmara Čeheľová ◽  
Milan Janák ◽  
Boris Bielek
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Maximum Velocity ◽  
Flow Section ◽  
Wind Flow ◽  
High Rise ◽  
Venturi Effect ◽  
Wind Velocities ◽  
Computational Fluid Dynamics Cfd ◽  
The Impact

The Venturi effect has been defined as the increase in fluid speed or flow rate due to a decrease of the flow section. In the present paper the wind speed conditions in passages between triangular buildings with different distances are studied with Computational Fluid Dynamics (CFD) to investigate the extent to which the Venturi effect is present in the passages. In this paper are considered eight different variants of relative positions of the two high-rise buildings. The variable is a distance between towers. They are investigated maximum wind velocities and the point at which the maximum velocity occurs for each from these variants.

scholarly journals Initial Rotation Characteristic Investigation of a Hybrid Savonius - Darrieus Wind Turbine using 6 DOF Computational Fluid Dynamics

2021 ◽  
Vol 20 (1) ◽  
pp. 9
Author(s):  
Hangga Wicaksono ◽  
Sugeng Hadi Susilo ◽  
Bayu Pranoto ◽  
Muhammad Fakhruddin
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wind Speed ◽  
Wind Turbine ◽  
Transient Analysis ◽  
Force Distribution ◽  
Wind Flow ◽  
Aerodynamic Stability ◽  
Wind Speeds ◽  
Impulse Force

The inconsistency of the wind flow considered as one of the factors which tend to decrease the performance of the wind turbine. This paper proposes a further analysis of the initial rotation characteristic of a hybrid Savonius - Darrieus wind turbine. The addition of the Darrieus blade intends to increase the aerodynamic stability of the overlapping Savonius turbine. This study implements 2D CFD transient analysis using the 6DOF methods in 0<sup>0</sup>, 30<sup>0</sup>, 60<sup>0</sup>, and 90<sup>0</sup> Darrieus blade position along with 2 m/s, 4 m/s, and 6 m/s wind speed variations. The results of the aerodynamic analysis show that the location of the Darrieus 30<sup>0</sup> turbine provides the greatest initial repulsion, especially when the turbine rotation is above 90<sup>0</sup>, the position of the Darrieus blade can provide additional impulse force when the Savonius turbine tends to be passive. This effect occurs more significant at higher wind speeds. Savonius with 3-blade modification has a more stable level of force distribution than the 2-blade modification, although the value is smaller. This shows that the 3-blade Savonius provide a higher stability of angular velocity development.

scholarly journals 3D Flow Prediction for high rise structures

2018 ◽  
Vol 7 (2.24) ◽  
pp. 126
Author(s):  
D Leela ◽  
Babu S ◽  
Dasarathy A K ◽  
S Kumar
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Tall Buildings ◽  
Wind Flow ◽  
3D Flow ◽  
Ansys Fluent ◽  
Aerodynamic Loads ◽  
High Rise ◽  
Flow Prediction ◽  
Flow Variables

Structures more than 40 m are usually termed as high rise structures. It is difficult to predict the flow of wind around structures without the use of computational fluid dynamics software or wind tunnel. These high rise structures are subjected to stronger winds that can cause them to sway. So the predictions of aerodynamic loads acting on tall buildings are very important. This study aims to identify the characteristics of wind flow such high rise structures  by predicting flow variables such as pressure, velocity and impacting stress etc using Ansys Fluent 18.1. The main purpose of this project is to find out : pressure around the building and velocity of wind around the building.

scholarly journals Run-Time and Statistical Pedestrian Level Wind Map for Downtown Toronto

2021 ◽  
Vol 7 ◽  
Author(s):  
Jiaxiang Chen ◽  
Michael Gianfelice ◽  
Nicole Izukawa ◽  
Ahmed Elshaer ◽  
Haitham Aboshosha
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Real Time ◽  
Meteorological Data ◽  
Weather Data ◽  
Local Wind ◽  
Study Region ◽  
Wind Speeds ◽  
High Rise ◽  
Wind Velocities

Rapid population growth and urbanization have led to the development of high-density and high-rise structures around the world. Tall structures in proximity can negatively affect pedestrian comfort by directing strong winds to the ground near the structure. Pedestrian level wind (PLW) may affect local businesses/services, pedestrian comfort and in extreme cases jeopardizes pedestrian safety. The downtown portion of the City of Toronto (∼10 km2) was chosen as the study region due to the recent development of many high-rise structures. The region was split into 10 zones and Computational Fluid Dynamics (CFD) was utilized to study the wind effects of the local building geometry and arrangements. Wind velocities were extracted from Computational Fluid Dynamics and coupled with historical meteorological data from Billy Bishop Airport. The coupled velocities from CFD were found to be within 20 and 5% RMSE, respectively, of the recorded data at the wind station for 85% of the sampled data. Wind velocities were then extracted at various elevations and coupled with meteorological weather data to generate real-time, historical, and statistical visualization of local wind fields. This study enables the prediction of real-time, historical, and statistical wind speeds, bearings at various elevations. Visualization of the flow field provides important insights for pedestrians, architects, engineers, and city planners regarding local wind speeds and identify problematic areas.

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