Lattice Boltzmann Method-Based Simulations of Pollutant Dispersion and Urban Physics

• Published in: Atmosphere 2021-07, Vol.12 (7), p.833
• Main Authors: Jacob, Jérôme, Merlier, Lucie, Marlow, Felix, Sagaut, Pierre
• Format: Article
• Language: English
• Subjects: Accuracy; Aerodynamics; Air conditioning; Air quality; Atmospheric and Oceanic Physics; Atmospheric flows; Biodiversity and Ecology; Boundary conditions; Boundary layers; Buildings; Computational fluid dynamics; Connectors; Couplings; Dispersion; Efficiency; Environmental conditions; Environmental Sciences; Fluid dynamics; Indoor environments; Large eddy simulation; Large eddy simulations; lattice Boltzmann method; Mathematical models; Numerical methods; Physics; pollutant dispersion; Pollutants; Pollution dispersion; Predictions; Pressure distribution; Simulation; Stress concentration; Thermal environments; Turbulence; Urban areas; urban physics; Ventilation; Wind comfort
• ISSN: 2073-4433; 2073-4433
• DOI: 10.3390/atmos12070833

Mesocale atmospheric flows that develop in the boundary layer or microscale flows that develop in urban areas are challenging to predict, especially due to multiscale interactions, multiphysical couplings, land and urban surface thermal and geometrical properties and turbulence. However, these different flows can indirectly and directly affect the exposure of people to deteriorated air quality or thermal environment, as well as the structural and energy loads of buildings. Therefore, the ability to accurately predict the different interacting physical processes determining these flows is of primary importance. To this end, alternative approaches based on the lattice Boltzmann method (LBM) wall model large eddy simulations (WMLESs) appear particularly interesting as they provide a suitable framework to develop efficient numerical methods for the prediction of complex large or smaller scale atmospheric flows. In particular, this article summarizes recent developments and studies performed using the hybrid recursive regularized collision model for the simulation of complex or/and coupled turbulent flows. Different applications to the prediction of meteorological humid flows, urban pollutant dispersion, pedestrian wind comfort and pressure distribution on urban buildings including uncertainty quantification are especially reviewed. For these different applications, the accuracy of the developed approach was assessed by comparison with experimental and/or numerical reference data, showing a state of the art performance. Ongoing developments focus now on the validation and prediction of indoor environmental conditions including thermal mixing and pollutant dispersion in different types of rooms equipped with heat, ventilation and air conditioning systems.