Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees

Due to a rapid increase in urbanisation, accurate wind microclimate assessment is of crucial importance. Evaluating wind flows around buildings is part of the planning application process in the design of new developments. In this study, computational fluid dynamics (CFD) simulations are carried out...

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Main Authors: Azin Hosseinzadeh, Amir Keshmiri
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/11/3/112
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spelling doaj-62769d21e6a249af92108bfb7122d6bf2021-03-12T00:05:37ZengMDPI AGBuildings2075-53092021-03-011111211210.3390/buildings11030112Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using TreesAzin Hosseinzadeh0Amir Keshmiri1Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UKDepartment of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UKDue to a rapid increase in urbanisation, accurate wind microclimate assessment is of crucial importance. Evaluating wind flows around buildings is part of the planning application process in the design of new developments. In this study, computational fluid dynamics (CFD) simulations are carried out for a case study, representing the East Village in the London Olympic Park. Following a validation test against experimental data for a simpler urban configuration, the key input parameters, including appropriate boundary conditions, mesh setting and type of turbulence model, are selected for the Olympic Park model. All the simulations are conducted using the commercial code STARCCM+ under steady-state conditions with the Reynolds-averaged Navier–Stokes (RANS) method. The turbulence is modelled using different common variants of eddy-viscosity models (EVMs) including standard k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula>, realizable k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> and standard and shear stress transport (SST) k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula>. The results demonstrate that standard and realisable k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> models correlate very well with the experimental data, while some discrepancies are found with standard and SST k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula>. Following the determination of areas of high velocity, appropriate tree planting is proposed to overcome the effect of corner and downwash acceleration. With the optimised arrangement of trees and using specific types of tree (e.g., birch), wind speeds at the pedestrian level are reduced by 3.5, 25 and 66% in three main regions of interest. Moreover, we investigate the effects of tree heights. The obtained results illustrate that the wind velocity reduces when the crowns of the trees are located closer to the buildings and the ground. Our high-resolution CFD simulation and results offer a quantitative tool for wind microclimate assessment and optimised design and arrangement of trees around buildings to improve pedestrian comfort.https://www.mdpi.com/2075-5309/11/3/112wind microclimatewind assessmentcomputational fluid dynamicsbuilding engineeringturbulence modellingvegetation
collection DOAJ
language English
format Article
sources DOAJ
author Azin Hosseinzadeh
Amir Keshmiri
spellingShingle Azin Hosseinzadeh
Amir Keshmiri
Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
Buildings
wind microclimate
wind assessment
computational fluid dynamics
building engineering
turbulence modelling
vegetation
author_facet Azin Hosseinzadeh
Amir Keshmiri
author_sort Azin Hosseinzadeh
title Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
title_short Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
title_full Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
title_fullStr Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
title_full_unstemmed Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees
title_sort computational simulation of wind microclimate in complex urban models and mitigation using trees
publisher MDPI AG
series Buildings
issn 2075-5309
publishDate 2021-03-01
description Due to a rapid increase in urbanisation, accurate wind microclimate assessment is of crucial importance. Evaluating wind flows around buildings is part of the planning application process in the design of new developments. In this study, computational fluid dynamics (CFD) simulations are carried out for a case study, representing the East Village in the London Olympic Park. Following a validation test against experimental data for a simpler urban configuration, the key input parameters, including appropriate boundary conditions, mesh setting and type of turbulence model, are selected for the Olympic Park model. All the simulations are conducted using the commercial code STARCCM+ under steady-state conditions with the Reynolds-averaged Navier–Stokes (RANS) method. The turbulence is modelled using different common variants of eddy-viscosity models (EVMs) including standard k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula>, realizable k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> and standard and shear stress transport (SST) k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula>. The results demonstrate that standard and realisable k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> models correlate very well with the experimental data, while some discrepancies are found with standard and SST k-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula>. Following the determination of areas of high velocity, appropriate tree planting is proposed to overcome the effect of corner and downwash acceleration. With the optimised arrangement of trees and using specific types of tree (e.g., birch), wind speeds at the pedestrian level are reduced by 3.5, 25 and 66% in three main regions of interest. Moreover, we investigate the effects of tree heights. The obtained results illustrate that the wind velocity reduces when the crowns of the trees are located closer to the buildings and the ground. Our high-resolution CFD simulation and results offer a quantitative tool for wind microclimate assessment and optimised design and arrangement of trees around buildings to improve pedestrian comfort.
topic wind microclimate
wind assessment
computational fluid dynamics
building engineering
turbulence modelling
vegetation
url https://www.mdpi.com/2075-5309/11/3/112
work_keys_str_mv AT azinhosseinzadeh computationalsimulationofwindmicroclimateincomplexurbanmodelsandmitigationusingtrees
AT amirkeshmiri computationalsimulationofwindmicroclimateincomplexurbanmodelsandmitigationusingtrees
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