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Wake Characterization of Building Clusters Immersed in Deep Boundary Layers

Abhishek Mishra, Marco Placidi, Matteo Carpentieri, Alan Robins

2023Boundary-Layer Meteorology14 citationsDOIOpen Access PDF

Abstract

Abstract Wind tunnel experiments were conducted to understand the effect of building array size ( N ), aspect ratio ( AR ), and the spacing between buildings ( $$W_S$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>S</mml:mi> </mml:msub> </mml:math> ) on the mean structure and decay of their wakes. Arrays of size 3 $$\times $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> 3, 4 $$\times $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> 4,and 5 $$\times $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> 5, AR = 4, 6, and 8, and $$W_S$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>S</mml:mi> </mml:msub> </mml:math> = 0.5 $$W_B$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>B</mml:mi> </mml:msub> </mml:math> , 1 $$W_B$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>B</mml:mi> </mml:msub> </mml:math> , 2 $$W_B$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>B</mml:mi> </mml:msub> </mml:math> and 4 $$W_B$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>B</mml:mi> </mml:msub> </mml:math> (where $$W_B$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>B</mml:mi> </mml:msub> </mml:math> is the building width) were considered. Three different wake regimes behind the building clusters were identified: near-, transition-, and far-wake regimes. The results suggest that the spatial extent of these wake regimes is governed by the overall array width ( $$W_A$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>A</mml:mi> </mml:msub> </mml:math> ). The effects of individual buildings are observed to be dominant in the near-wake regime ( $$0&lt;x/W_A&lt; {0.45}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>0</mml:mn> <mml:mo>&lt;</mml:mo> <mml:mi>x</mml:mi> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>A</mml:mi> </mml:msub> <mml:mo>&lt;</mml:mo> <mml:mrow> <mml:mn>0.45</mml:mn> </mml:mrow> </mml:mrow> </mml:math> ) where individual wakes appear behind each building. These wakes are observed to merge in the transition-wake region ( $${0.45}&lt; x/W_A &lt; 1.5$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mrow> <mml:mn>0.45</mml:mn> </mml:mrow> <mml:mo>&lt;</mml:mo> <mml:mi>x</mml:mi> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>A</mml:mi> </mml:msub> <mml:mo>&lt;</mml:mo> <mml:mn>1.5</mml:mn> </mml:mrow> </mml:math> ), forming a combined wake in which the individual contributions are no longer apparent. In the far-wake regime ( $$x/W_A &gt; 1.5$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>x</mml:mi> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>W</mml:mi> <mml:mi>A</mml:mi> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:mn>1.5</mml:mn> </mml:mrow> </mml:math> ), clusters’ wakes are akin to those developing downwind of a single isolated building. Accordingly, new local and global scaling parameters in the near- and far-wake regimes are introduced. The decay of the centreline velocity deficit is then modelled as a function of the three parameters considered in the experiment.

Topics & Concepts

AlgorithmArtificial intelligenceComputer scienceWind and Air Flow StudiesAerodynamics and Fluid Dynamics ResearchFluid Dynamics and Vibration Analysis
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