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Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model.

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Title: Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model.
Authors: Bouris, Demetri1 (AUTHOR) dbouris@fluid.mech.ntua.gr, Triantafyllou, Athanasios G.2 (AUTHOR) atrianta@uowm.gr, Krestou, Athina2 (AUTHOR) akrestou@airlab.edu.gr, Leivaditou, Elena2 (AUTHOR) eleivadi@airlab.edu.gr, Skordas, John2 (AUTHOR) jskord@airlab.edu.gr, Konstantinidis, Efstathios3 (AUTHOR) ekonstantinidis@uowm.gr, Kopanidis, Anastasios3 (AUTHOR) forkinas@yahoo.com, Wang, Qing4 (AUTHOR) qwang@nps.edu
Source: Energies (19961073). Sep2021, Vol. 14 Issue 18, p5624-5624. 1p.
Subject Terms: *Computational fluid dynamics, *Numerical weather forecasting, *Air pollution, *Spatial resolution, *Weather
Abstract: Mesoscale numerical weather prediction models usually provide information regarding environmental parameters near urban areas at a spatial resolution of the order of thousands or hundreds of meters, at best. If detailed information is required at the building scale, an urban-scale model is necessary. Proper definition of the boundary conditions for the urban-scale simulation is very demanding in terms of its compatibility with environmental conditions and numerical modeling. Here, steady-state computational fluid dynamics (CFD) microscale simulations of the wind and thermal environment are performed over an urban area of Kozani, Greece, using both the k-ε and k-ω SST turbulence models. For the boundary conditions, instead of interpolating vertical profiles from the mesoscale solution, which is obtained with the atmospheric pollution model (TAPM), a novel approach is proposed, relying on previously developed analytic expressions, based on the Monin Obuhkov similarity theory, and one-way coupling with minimal information from mesoscale indices (Vy = 10 m, Ty = 100 m, L*). The extra computational cost is negligible compared to direct interpolation from mesoscale data, and the methodology provides design phase flexibility, allowing for the representation of discrete urban-scale atmospheric conditions, as defined by the mesoscale indices. The results compared favorably with the common interpolation practice and with the following measurements obtained for the current study: SODAR for vertical profiles of wind speed and a meteorological temperature profiler for temperature. The significance of including the effects of diverse atmospheric conditions is manifested in the microscale simulations, through significant variations (~30%) in the critical building-related design parameters, such as the surface pressure distributions and local wind patterns. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
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  Label: Title
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  Data: Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model.
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  Data: <searchLink fieldCode="AR" term="%22Bouris%2C+Demetri%22">Bouris, Demetri</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dbouris@fluid.mech.ntua.gr</i><br /><searchLink fieldCode="AR" term="%22Triantafyllou%2C+Athanasios+G%2E%22">Triantafyllou, Athanasios G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> atrianta@uowm.gr</i><br /><searchLink fieldCode="AR" term="%22Krestou%2C+Athina%22">Krestou, Athina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> akrestou@airlab.edu.gr</i><br /><searchLink fieldCode="AR" term="%22Leivaditou%2C+Elena%22">Leivaditou, Elena</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> eleivadi@airlab.edu.gr</i><br /><searchLink fieldCode="AR" term="%22Skordas%2C+John%22">Skordas, John</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jskord@airlab.edu.gr</i><br /><searchLink fieldCode="AR" term="%22Konstantinidis%2C+Efstathios%22">Konstantinidis, Efstathios</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ekonstantinidis@uowm.gr</i><br /><searchLink fieldCode="AR" term="%22Kopanidis%2C+Anastasios%22">Kopanidis, Anastasios</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> forkinas@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Qing%22">Wang, Qing</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> qwang@nps.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Sep2021, Vol. 14 Issue 18, p5624-5624. 1p.
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  Data: *<searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br />*<searchLink fieldCode="DE" term="%22Numerical+weather+forecasting%22">Numerical weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br />*<searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Mesoscale numerical weather prediction models usually provide information regarding environmental parameters near urban areas at a spatial resolution of the order of thousands or hundreds of meters, at best. If detailed information is required at the building scale, an urban-scale model is necessary. Proper definition of the boundary conditions for the urban-scale simulation is very demanding in terms of its compatibility with environmental conditions and numerical modeling. Here, steady-state computational fluid dynamics (CFD) microscale simulations of the wind and thermal environment are performed over an urban area of Kozani, Greece, using both the k-ε and k-ω SST turbulence models. For the boundary conditions, instead of interpolating vertical profiles from the mesoscale solution, which is obtained with the atmospheric pollution model (TAPM), a novel approach is proposed, relying on previously developed analytic expressions, based on the Monin Obuhkov similarity theory, and one-way coupling with minimal information from mesoscale indices (Vy = 10 m, Ty = 100 m, L*). The extra computational cost is negligible compared to direct interpolation from mesoscale data, and the methodology provides design phase flexibility, allowing for the representation of discrete urban-scale atmospheric conditions, as defined by the mesoscale indices. The results compared favorably with the common interpolation practice and with the following measurements obtained for the current study: SODAR for vertical profiles of wind speed and a meteorological temperature profiler for temperature. The significance of including the effects of diverse atmospheric conditions is manifested in the microscale simulations, through significant variations (~30%) in the critical building-related design parameters, such as the surface pressure distributions and local wind patterns. [ABSTRACT FROM AUTHOR]
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      – Type: doi
        Value: 10.3390/en14185624
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: 5624
    Subjects:
      – SubjectFull: Computational fluid dynamics
        Type: general
      – SubjectFull: Numerical weather forecasting
        Type: general
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Spatial resolution
        Type: general
      – SubjectFull: Weather
        Type: general
    Titles:
      – TitleFull: Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model.
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            NameFull: Bouris, Demetri
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            NameFull: Leivaditou, Elena
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            – D: 15
              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
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              Value: 19961073
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              Value: 14
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              Value: 18
          Titles:
            – TitleFull: Energies (19961073)
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