Urban canopies, with their heterogeneous heights, exhibit complex flow phenomena essential for understanding urban airflow dynamics. Our study employs implicit large eddy simulations (ILES) using the flux reconstruction method and the artificial compressibility approach in the PyFR open-source library. These GPU-accelerated simulations offer detailed and accurate insights into turbulent flow within and above urban-like canopies.
Understanding these dynamics is crucial for urban planning and design, as it impacts air quality, energy efficiency, and overall urban sustainability. We focus on analysing turbulent statistics and examining both small and large-scale coherent motions within a staggered two-height canopy configuration. By comparing flow behaviour and turbulent statistics in the paths of short and tall canopy elements, we investigate the effects of canopy heterogeneity. Additionally, we conduct a parametric study to understand the influence of secondary building height on flow dynamics.
