Computational Simulation of Wind Microclimate in Complex Urban Models and Mitigation Using Trees

Due to a rapid increase in urbanisation, accurate wind microclimate assessment is of crucial importance. Evaluating flows around buildings part the planning application process design new developments. In this study, computational fluid dynamics (CFD) simulations are carried out for case representing East Village London Olympic Park. Following validation test against experimental data simpler urban configuration, key input parameters, including appropriate boundary conditions, mesh setting and type turbulence model, selected Park model. All conducted using commercial code STARCCM+ under steady-state conditions with Reynolds-averaged Navier–Stokes (RANS) method. The modelled different common variants eddy-viscosity models (EVMs) standard k-ε, realizable k-ε shear stress transport (SST) k-ω. results demonstrate that realisable correlate very well data, while some discrepancies found SST determination areas high velocity, tree planting proposed overcome effect corner downwash acceleration. With optimised arrangement trees specific types (e.g., birch), speeds at pedestrian level reduced by 3.5, 25 66% three main regions interest. Moreover, we investigate effects heights. obtained illustrate velocity reduces when crowns located closer ground. Our high-resolution CFD simulation offer quantitative tool improve comfort.