A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Topography integration to wind downscaling
https://orcid.org/0000-0002-1301-6162
AbstractIn building energy simulations, an urban context is assessed for its impact on local wind conditions. This process, known as wind downscaling, generally considers terrain that is characterized by the obstructions such as buildings and trees. However, topography, the shape of a land, is hardly considered for its combined impact with terrain. Wind downscaling is particularly challenging in large urban areas for the required high computational costs, while the existing models are still in their infancy. This paper developed a method to integrate the topography effect in existing terrain-driven wind downscaling. To facilitate its utility in early design stages, sampling and interpolation approach were adopted for computational efficiency. Samples were generated for urban contexts, considering topography with slopes and terrain with buildings. These samples were geometrically modeled and assessed for outdoor wind speed in virtual wind tunnel tests with CFD simulations. The assessment results were analyzed and stored in a database, which was used to interpolate for a new condition. The proposed method was demonstrated for its reasonable accuracy and high computational efficiency by comparing the interpolation result with CFD simulation for an actual site.
HighlightsCombined impact of buildings and slopes on wind downscaling for large urban areas.Explicit modeling for urban exposed surfaces and implicit modeling for atmospheric influences.High computational efficiency of the model for rapid assessments in early design stages.Reasonable accuracy for an actual site, being validated with virtual wind tunnel test with CFD simulation.Normalized wind reduction ratio for external integration into existing building and wind simulations.
Topography integration to wind downscaling
https://orcid.org/0000-0002-1301-6162
AbstractIn building energy simulations, an urban context is assessed for its impact on local wind conditions. This process, known as wind downscaling, generally considers terrain that is characterized by the obstructions such as buildings and trees. However, topography, the shape of a land, is hardly considered for its combined impact with terrain. Wind downscaling is particularly challenging in large urban areas for the required high computational costs, while the existing models are still in their infancy. This paper developed a method to integrate the topography effect in existing terrain-driven wind downscaling. To facilitate its utility in early design stages, sampling and interpolation approach were adopted for computational efficiency. Samples were generated for urban contexts, considering topography with slopes and terrain with buildings. These samples were geometrically modeled and assessed for outdoor wind speed in virtual wind tunnel tests with CFD simulations. The assessment results were analyzed and stored in a database, which was used to interpolate for a new condition. The proposed method was demonstrated for its reasonable accuracy and high computational efficiency by comparing the interpolation result with CFD simulation for an actual site.
HighlightsCombined impact of buildings and slopes on wind downscaling for large urban areas.Explicit modeling for urban exposed surfaces and implicit modeling for atmospheric influences.High computational efficiency of the model for rapid assessments in early design stages.Reasonable accuracy for an actual site, being validated with virtual wind tunnel test with CFD simulation.Normalized wind reduction ratio for external integration into existing building and wind simulations.
Topography integration to wind downscaling
https://orcid.org/0000-0002-1301-6162
AbstractIn building energy simulations, an urban context is assessed for its impact on local wind conditions. This process, known as wind downscaling, generally considers terrain that is characterized by the obstructions such as buildings and trees. However, topography, the shape of a land, is hardly considered for its combined impact with terrain. Wind downscaling is particularly challenging in large urban areas for the required high computational costs, while the existing models are still in their infancy. This paper developed a method to integrate the topography effect in existing terrain-driven wind downscaling. To facilitate its utility in early design stages, sampling and interpolation approach were adopted for computational efficiency. Samples were generated for urban contexts, considering topography with slopes and terrain with buildings. These samples were geometrically modeled and assessed for outdoor wind speed in virtual wind tunnel tests with CFD simulations. The assessment results were analyzed and stored in a database, which was used to interpolate for a new condition. The proposed method was demonstrated for its reasonable accuracy and high computational efficiency by comparing the interpolation result with CFD simulation for an actual site.
HighlightsCombined impact of buildings and slopes on wind downscaling for large urban areas.Explicit modeling for urban exposed surfaces and implicit modeling for atmospheric influences.High computational efficiency of the model for rapid assessments in early design stages.Reasonable accuracy for an actual site, being validated with virtual wind tunnel test with CFD simulation.Normalized wind reduction ratio for external integration into existing building and wind simulations.
Topography integration to wind downscaling
Kim, Jihun (author) / Yi, Yun Kyu (author) / Malkawi, Ali (author)
Building and Environment ; 115 ; 306-315
2017-01-19
10 pages
Article (Journal)
Electronic Resource
English
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