CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method
The urban wind environment is an important element of urban microclimates and plays an important role in the quality of the urban environment. The computational fluid dynamics (CFD) simulation method is an important means for urban wind field research. However, CFD simulation has high requirements f...
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doaj-f82f248af07e4cefaffb27216f1d77de2020-11-24T20:57:57ZengMDPI AGAtmosphere2073-44332019-06-0110632610.3390/atmos10060326atmos10060326CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization MethodMengxi Li0Xinfa Qiu1Juanjun Shen2Jinqin Xu3Bo Feng4Yongjian He5Guoping Shi6Xiaochen Zhu7School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaZhejiang Dahua Vision Technology Co., Ltd, Hangzhou 310051, ChinaSchool of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaThe urban wind environment is an important element of urban microclimates and plays an important role in the quality of the urban environment. The computational fluid dynamics (CFD) simulation method is an important means for urban wind field research. However, CFD simulation has high requirements for computer hardware and software. In this paper, based on geographic information system (GIS) technology, a new building data generalization method was developed to solve the problems of a huge amount of data and calculations in urban-scale CFD wind field simulations. Using Fluent software and high-precision urban building geographic information data with elevation attributes, the method was applied to Jinjiang City, Fujian Province, China. A CFD simulation of the wind field of Jinjiang City was implemented, and detailed, intuitive wind field information was obtained, which were compared with the measured data. The results show that the building data generalization method could effectively improve the efficiency of the city's overall wind field CFD simulation. The simulated wind speed was significantly correlated with the measured data, but it was overestimated. The simulated wind direction was consistent with the measured data of most stations. The simulation results were reasonable and could provide reference for application and subsequent research.https://www.mdpi.com/2073-4433/10/6/326CFDGISurban wind environmentFluentJinjiang |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mengxi Li Xinfa Qiu Juanjun Shen Jinqin Xu Bo Feng Yongjian He Guoping Shi Xiaochen Zhu |
spellingShingle |
Mengxi Li Xinfa Qiu Juanjun Shen Jinqin Xu Bo Feng Yongjian He Guoping Shi Xiaochen Zhu CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method Atmosphere CFD GIS urban wind environment Fluent Jinjiang |
author_facet |
Mengxi Li Xinfa Qiu Juanjun Shen Jinqin Xu Bo Feng Yongjian He Guoping Shi Xiaochen Zhu |
author_sort |
Mengxi Li |
title |
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method |
title_short |
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method |
title_full |
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method |
title_fullStr |
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method |
title_full_unstemmed |
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method |
title_sort |
cfd simulation of the wind field in jinjiang city using a building data generalization method |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-06-01 |
description |
The urban wind environment is an important element of urban microclimates and plays an important role in the quality of the urban environment. The computational fluid dynamics (CFD) simulation method is an important means for urban wind field research. However, CFD simulation has high requirements for computer hardware and software. In this paper, based on geographic information system (GIS) technology, a new building data generalization method was developed to solve the problems of a huge amount of data and calculations in urban-scale CFD wind field simulations. Using Fluent software and high-precision urban building geographic information data with elevation attributes, the method was applied to Jinjiang City, Fujian Province, China. A CFD simulation of the wind field of Jinjiang City was implemented, and detailed, intuitive wind field information was obtained, which were compared with the measured data. The results show that the building data generalization method could effectively improve the efficiency of the city's overall wind field CFD simulation. The simulated wind speed was significantly correlated with the measured data, but it was overestimated. The simulated wind direction was consistent with the measured data of most stations. The simulation results were reasonable and could provide reference for application and subsequent research. |
topic |
CFD GIS urban wind environment Fluent Jinjiang |
url |
https://www.mdpi.com/2073-4433/10/6/326 |
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