CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization Method Article Swipe
Mengxi Li
,
Xinfa Qiu
,
Juanjun Shen
,
Jinqin Xu
,
Bo Feng
,
Yongjian He
,
Guoping Shi
,
Xiaochen Zhu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/atmos10060326
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/atmos10060326
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.
Related Topics
Concepts
Computational fluid dynamics
Wind speed
Environmental science
Software
Field (mathematics)
Meteorology
Computer science
CFD in buildings
Fluent
Wind direction
Marine engineering
Computer simulation
Simulation
Engineering
Geography
Aerospace engineering
Mathematics
Pure mathematics
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/atmos10060326
- https://www.mdpi.com/2073-4433/10/6/326/pdf?version=1560675297
- OA Status
- gold
- Cited By
- 20
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2951869687
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2951869687Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/atmos10060326Digital Object Identifier
- Title
-
CFD Simulation of the Wind Field in Jinjiang City Using a Building Data Generalization MethodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-06-16Full publication date if available
- Authors
-
Mengxi Li, Xinfa Qiu, Juanjun Shen, Jinqin Xu, Bo Feng, Yongjian He, Guoping Shi, Xiaochen ZhuList of authors in order
- Landing page
-
https://doi.org/10.3390/atmos10060326Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4433/10/6/326/pdf?version=1560675297Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4433/10/6/326/pdf?version=1560675297Direct OA link when available
- Concepts
-
Computational fluid dynamics, Wind speed, Environmental science, Software, Field (mathematics), Meteorology, Computer science, CFD in buildings, Fluent, Wind direction, Marine engineering, Computer simulation, Simulation, Engineering, Geography, Aerospace engineering, Mathematics, Pure mathematics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
20Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 3, 2023: 6, 2022: 5, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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