Inclusion of Building‐Resolving Capabilities Into the FastEddy® GPU‐LES Model Using an Immersed Body Force Method Article Swipe
Domingo Muñoz‐Esparza
,
Jeremy Sauer
,
Hyeyum Hailey Shin
,
Robert Sharman
,
Branko Kosović
,
Scott Meech
,
Clara García‐Sánchez
,
Matthias Steiner
,
Jason C. Knievel
,
James O. Pinto
,
Scott Swerdlin
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1029/2020ms002141
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1029/2020ms002141
As a first step toward achieving full physics urban weather simulation capabilities within the resident‐GPU large‐eddy simulation (LES) FastEddy® model, we have implemented and verified/validated a method for explicit representation of building effects. Herein, we extend the immersed body force method (IBFM) from Chan and Leach (2007, https://doi.org/10.1175/2006JAMC1321.1 ) to (i) be scale independent and (ii) control building surface temperatures. Through a specific drag‐like term in the momentum equations, the IBFM is able to enforce essentially zero velocities within the buildings, in turn resulting in a no‐slip boundary condition at the building walls. In addition, we propose similar forcing terms in the energy and mass conservation equations that allow an accurate prescription of the building temperature. The extended IBFM is computationally efficient and has the potential to be coupled to building energy models. The IBFM exhibits excellent agreement with laboratory experiments of an array of staggered cubes at a grid spacing of mm, demonstrating the applicability of the method beyond the atmospheric scale. In addition, the IBFM is validated at atmospheric scale through simulations of downtown Oklahoma City ( m) using data collected during the Joint Urban 2003 (JU03) field campaign. Our LES IBFM results for mean wind speed, turbulence kinetic energy, and SF 6 transport and dispersion compare well to observations and produce turbulence spectra that are in good agreement with sonic anemometer data. Statistical performance metrics for the JU03 simulations are within the range of other LES models in the literature.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2020ms002141
- OA Status
- gold
- Cited By
- 19
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3095464402
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3095464402Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1029/2020ms002141Digital Object Identifier
- Title
-
Inclusion of Building‐Resolving Capabilities Into the FastEddy® GPU‐LES Model Using an Immersed Body Force MethodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-10-31Full publication date if available
- Authors
-
Domingo Muñoz‐Esparza, Jeremy Sauer, Hyeyum Hailey Shin, Robert Sharman, Branko Kosović, Scott Meech, Clara García‐Sánchez, Matthias Steiner, Jason C. Knievel, James O. Pinto, Scott SwerdlinList of authors in order
- Landing page
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https://doi.org/10.1029/2020ms002141Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1029/2020ms002141Direct OA link when available
- Concepts
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Large eddy simulation, Anemometer, Turbulence, Turbulence kinetic energy, Meteorology, Wind speed, Physics, Grid, Body force, Boundary value problem, Mechanics, Computer science, Environmental science, Mathematics, Geometry, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 9, 2022: 5, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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