A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting.

Abstract Good understanding of micro-scale urban-wind phenomena is needed for optimizing power generation capabilities building-integrated wind turbines and safety futuristic urban transport involving drones. The current work involves development a multiscale methodology obtaining fields in an landscape. multi-scale coupling three models operating on different scales namely operational meso-scale numerical weather prediction model HARMONIE, that captures terrain- induced influence super-micro scale Computational Fluid Dynamics using large eddy simulation RANS to capture the building-induced flow. Here, we present comparison velocity predicted by two turbulence (LES RANS) are at finest with measured experiment data realistic case flow vicinity Oslo university hospital. reasons behind observed better LES outlined, use such advocated improve accuracy. LES, multi-scale, wind, climate, drones, energy