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CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method

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Publicado en:Atmosphere vol. 10, no. 6 (Jun 2019), p. n/a
Autor principal: Li, Mengxi
Otros Autores: Qiu, Xinfa, Shen, Juanjun, Xu, Jinqin, Feng, Bo, He, Yongjian, Shi, Guoping, Zhu, Xiaochen
Publicado:
MDPI AG
Materias:
Fluent Inc
United States > US
China
Wind direction
Elevation
Heat
Computer applications
Simulation
Test methods
Computer simulation
Construction
Studies
Wind speed
Geographic information systems
Fluid dynamics
Software
Information systems
Urban environments
Microclimate
Weather forecasting
Ventilation
Computer programs
Wind
Atmospheric boundary layer
Data
Computational fluid dynamics
Urban microclimates
Information science
Correlation analysis
Architecture
Geographical information systems
Hydrodynamics
Urban areas
Remote sensing
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:2073-4433
DOI:10.3390/atmos10060326
Fuente:Publicly Available Content Database