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Flow and dispersion simulation using computational fluid dynamics: a case study for EduCity in Iskandar Malaysia

Flow and dispersion simulation using computational fluid dynamics: a case study for EduCity in Iskandar Malaysia
Flow and dispersion simulation using computational fluid dynamics: a case study for EduCity in Iskandar Malaysia

Urbanisation has brought about various changes in the rural landscape, leading to a change in urban wind flow and pollutant dispersion. In this study, the flow and pollutant dispersion in a newly populated education hub, EduCity in Iskandar Malaysia are simulated using computational fluid dynamics (CFD). In order to ensure accuracy of the numerical simulation, Geographical Informational System (GIS) data was used to replicate the terrain of the region, while the main buildings of the education hub were measured to a high level of detail. The inlet boundary conditions utilised the power law to describe the reference velocity-height relationship, while sand grain roughness and density of vegetation were also taken into account. In order to validate the simulation, wind conditions at three different locations within EduCity were measured and the maximum deviation of 3.45% were observed across various location-time combinations. Upon validation of the integrated model, upstream wind velocity was varied, while pollutant profiles and wind directions were fixed for the urban flow and pollutant dispersion simulations. From the results, it is shown that upstream wind velocities greatly change the localised characteristics of wind and pollutant flows, although limited by the constraints of the physical configurations of the buildings. The results show that CFD simulations can be used to manage the air qualities in education hubs, and helps dictates the planning of urban development.

1755-1307
Ng, Jo Han
4c9c51bd-1cfc-46c0-b519-23b77566fe50
Navarednam, Shawn
9d01820a-76de-4a29-8d77-c0dc565bb08a
Yao Wong, Kang
7bbce6ab-89b5-4b6c-ab92-d853735a505b
Tung Chong, Cheng
a3b41f14-a280-47e8-a7db-2d8641fbcabc
Ng, Jo Han
4c9c51bd-1cfc-46c0-b519-23b77566fe50
Navarednam, Shawn
9d01820a-76de-4a29-8d77-c0dc565bb08a
Yao Wong, Kang
7bbce6ab-89b5-4b6c-ab92-d853735a505b
Tung Chong, Cheng
a3b41f14-a280-47e8-a7db-2d8641fbcabc

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

Urbanisation has brought about various changes in the rural landscape, leading to a change in urban wind flow and pollutant dispersion. In this study, the flow and pollutant dispersion in a newly populated education hub, EduCity in Iskandar Malaysia are simulated using computational fluid dynamics (CFD). In order to ensure accuracy of the numerical simulation, Geographical Informational System (GIS) data was used to replicate the terrain of the region, while the main buildings of the education hub were measured to a high level of detail. The inlet boundary conditions utilised the power law to describe the reference velocity-height relationship, while sand grain roughness and density of vegetation were also taken into account. In order to validate the simulation, wind conditions at three different locations within EduCity were measured and the maximum deviation of 3.45% were observed across various location-time combinations. Upon validation of the integrated model, upstream wind velocity was varied, while pollutant profiles and wind directions were fixed for the urban flow and pollutant dispersion simulations. From the results, it is shown that upstream wind velocities greatly change the localised characteristics of wind and pollutant flows, although limited by the constraints of the physical configurations of the buildings. The results show that CFD simulations can be used to manage the air qualities in education hubs, and helps dictates the planning of urban development.

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Ng_2019_IOP_Conf._Ser.__Earth_Environ._Sci._268_012129 - Version of Record
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More information

e-pub ahead of print date: 2 July 2019
Venue - Dates: International Conference on Sustainable Energy and Green Technology 2018, SEGT 2018, , Kuala Lumpur, Malaysia, 2018-12-11 - 2018-12-14

Identifiers

Local EPrints ID: 432607
URI: http://eprints.soton.ac.uk/id/eprint/432607
ISSN: 1755-1307
PURE UUID: 3508f124-dd30-4126-a9e0-4f6c7142b1d3
ORCID for Kang Yao Wong: ORCID iD orcid.org/0000-0001-5211-8420

Catalogue record

Date deposited: 22 Jul 2019 16:30
Last modified: 17 Mar 2024 12:31

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Contributors

Author: Jo Han Ng
Author: Shawn Navarednam
Author: Kang Yao Wong ORCID iD
Author: Cheng Tung Chong

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