2014
DOI: 10.1007/s10652-014-9381-0
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Towards aeraulic simulations at urban scale using the lattice Boltzmann method

Abstract: International audienceThe lattice Boltzmann method (LBM) is an innovative approach in computational fluid dynamics (CFD). Due to the underlying lattice structure, the LBM is inherently parallel and therefore well suited for high performance computing. Its application to outdoor aeraulic studies is promising, e.g. applied on complex urban configurations, as an alternative approach to the commonplace Reynolds-averaged Navier-Stokes and large eddy simulation methods based on the Navier-Stokes equations. Emerging … Show more

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Cited by 33 publications
(11 citation statements)
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“…Another promising alternative to usual CFD simulations based on the Navier-Stokes equations as it does not alter model accuracy is to use the lattice Boltzmann method (LBM) for urban aeraulic simulation [87]. Due to its local and explicit formulation, this method is inherently parallel and allows a very cost effective implementation on GPUs [88] thus substantially reducing computational time compared to usual CFD methods.…”
Section: Microclimatic Modelsmentioning
confidence: 99%
“…Another promising alternative to usual CFD simulations based on the Navier-Stokes equations as it does not alter model accuracy is to use the lattice Boltzmann method (LBM) for urban aeraulic simulation [87]. Due to its local and explicit formulation, this method is inherently parallel and allows a very cost effective implementation on GPUs [88] thus substantially reducing computational time compared to usual CFD methods.…”
Section: Microclimatic Modelsmentioning
confidence: 99%
“…Using advanced aeraulic models such as Computational Fluid Dynamics 11,12 is useful for computing the outside pressure map of the building in detail. These models can take into account the wind direction, three-dimensional obstacles and turbulent air flows.…”
Section: Technical Solutions For Air Flow Rate Estimationmentioning
confidence: 99%
“…To take advantage of these merits, we developed an LBM-based model for turbulent atmospheric boundary layer flow simulations and predictions. The LBM model has the potential to achieve real-time simulations on a typical desktop or laptop with a modern GPU (Obrecht et al 2015;King et al 2017;Lenz et al 2019;Onodera et al 2013) for large computational domains with several millions of computation grid points. Furthermore, the generation of computational grids for complex surface boundaries (e.g., urban geometries) in an LBM is very easy, and simple interpolation or immersed boundary methods (Guo et al 2002;Mei et al 1999;Filippova and Hänel 1998) can be applied.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, there have been many publications using regularized LBM-LES and cumulant LBM for turbulent urban flow applications (Jacob et al 2018;Merlier et al 2019;Margheri and Sagaut 2016;Jacob and Sagaut 2018;Mons et al 2017;King et al 2017;Lenz et al 2019). However, there is limited literature on MRT LBM modeling of turbulent flows (Krafczyk et al 2003;Yu et al 2006;Obrecht et al 2015;Wang et al 2020).…”
Section: Introductionmentioning
confidence: 99%