Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method

King, Marco‐Felipe; Khan, Amirul; Delbosc, Nicolas; Gough, Hannah; Halios, Christos; Barlow, Janet F.; Noakes, Catherine

doi:10.1016/j.buildenv.2017.08.048

Cited by 58 publications

(23 citation statements)

References 42 publications

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“…Soon after, the LBM was directly derived from the Boltzmann equation by discretization in both time and phase space [10]. There are many publications that detail further developments of LBM such as the reduction of compressibility effects [11][12][13][14], the implementation of boundary conditions [15][16][17][18], turbulent flow simulations [19][20][21][22], energy and mass transport, multiphase flow [23][24][25][26], and in parallel computation using graphical processing unit (GPU) [27,28]. The potential for drastic speed up using GPU is a very attractive point for the large-eddy simulation of a large domain [29] with a huge number of grid points.…”

Section: Introductionmentioning

confidence: 99%

Simulation of stratified flows over a ridge using a lattice Boltzmann model

et al. 2018

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A three-dimensional thermal lattice Boltzmann model (TLBM) using multirelaxation time method was used to simulate stratified atmospheric flows over a ridge. The main objective was to study the efficacy of this method for turbulent flows in the atmospheric boundary layer, complex terrain flows in particular. The simulation results were compared with results obtained using a traditional finite difference method based on the Navier-Stokes equations and with previous laboratory results on stably stratified flows over an isolated ridge. The initial density profile is neutral stratification in the boundary layer, topped with a stable cap and stable stratification aloft. The TLBM simulations produced waves, rotors, and hydraulic jumps in the lee side of the ridge for stably stratified flows, depending on the governing stability parameters. The Smagorinsky turbulence parameterization produced typical turbulence spectra for the velocity components at the lee side of the ridge, and the turbulent flow characteristics of varied stratifications were also analyzed. The comparison of TLBM simulations with other numerical simulations and laboratory studies indicated that TLBM is a viable method for numerical modeling of stratified atmospheric flows. To our knowledge, this is the first TLBM simulation of stratified atmospheric flow over a ridge. The details of the TLBM, its implementation of complex boundaries and the subgrid turbulence parameterizations used in this study are also described in this article.

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Section: Introductionmentioning

confidence: 99%

Simulation of stratified flows over a ridge using a lattice Boltzmann model

et al. 2018

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“…Ten years later, this approach is receiving more and more interest because of its efficiency, although being still an emergent method. Contemporary studies especially address its accuracy and computational performance when implemented on GPUs (Obrecht et al, 2015;King et al, 2017), take advantage of this massively parallelizable method to discuss the link between urban morphology and pedestrian comfort (Ahmad et al, 2017;, or to quantify uncertainties or assimilate data for pollutant dispersion (Margheri and Sagaut, 2016;Mons et al, 2017).…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Lattice-Boltzmann Large-Eddy Simulation of pollutant dispersion in street canyons including tree planting effects

Merlier

Jacob

Sagaut

2018

Atmospheric Environment

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This study assesses the performance of a large eddy simulation (LES) based on the lattice Boltzmann method (LBM) in predicting near field dispersion in street canyons with tree planting. Based on a benchmark test case benefiting from wind tunnel measurements (CODASC), this study qualitatively and quantitatively discusses the prediction of traffic-induced pollutant concentration with respect to several reference studies. It also analyses the physics of the flow and concentration fields. Although the problem might seem rather simple, the flow is highlighted to be strongly three dimensional and transient. These properties enhance pollutant dispersion in the empty street canyon but air flow velocity and turbulence intensity tend to decrease in tree crowns. This effect of trees increases both mean and peak concentration levels at pedestrian level, which may be problematic in cities with dense traffic. These results show that LBM-LES is particularly well suited to study dispersion problems towards the development of more breathable cities.

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“…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%

“…Cheng et al (2012) applied an LBGK to turbulent atmospheric boundary layer flow. 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%

Large-Eddy Simulations of Turbulent Flows around Buildings Using the Atmospheric Boundary Layer Environment–Lattice Boltzmann Model (ABLE-LBM)

Wang

Decker

Pardyjak

2020

Journal of Applied Meteorology and Climatology

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A three-dimensional, prognostic Atmospheric Boundary Layer Environment-Lattice Boltzmann Model (ABLE-LBM) using the multiple-relaxation-time lattice Boltzmann method was developed for large-eddy simulation of urban boundary layer atmospheric flows. In this article we describe the details of the ABLE-LBM for urban flow, its implementation of complex boundaries, and the subgrid turbulence parameterizations. As a first validation of this newly developed model, the simulation results were evaluated with two wind-tunnel datasets that were collected using particle image velocimetry and Irwin probes, respectively. The ABLE-LBM simulations use the same building layout and Reynolds numbers used in the laboratory wind tunnels. The ABLE-LBM simulations compare favorably to both laboratory studies in terms of the mean wind fields. The turbulent fluxes simulated by the model in the observational planes also agreed reasonably well with the laboratory results. The model produced urban canyon flows and vortices on the lee side and over the building tops that are similar to those of the laboratory studies in strength and location. This validation study using laboratory data indicates that our new ABLE-LBM is a viable approach for modeling atmospheric turbulent flows in urban environments. A numerical implementation using a graphics processing unit shows that real-time simulations are achieved for these two validation cases.

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Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method

Cited by 58 publications

References 42 publications

Simulation of stratified flows over a ridge using a lattice Boltzmann model

Simulation of stratified flows over a ridge using a lattice Boltzmann model

Lattice-Boltzmann Large-Eddy Simulation of pollutant dispersion in street canyons including tree planting effects

Large-Eddy Simulations of Turbulent Flows around Buildings Using the Atmospheric Boundary Layer Environment–Lattice Boltzmann Model (ABLE-LBM)

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