When using computational fluid dynamics (CFD) to measure urban microclimate, 96% of the studies use RANS model (Reynolds Averaged Navier-Stokes). That’s the conclusion of an article that reviews 183 analysis. External flow behavior, though, is complex and averaged simulations does not reveal everything when analyzing wind in urban areas.
Large Eddy Simulations are time-dependent simulations capable of capturing the complex behavior of external flow analyses. For assessing wind in urban areas, LES is more! Ingrid Cloud’s high-fidelity simulations have shown to be 95% as accurate as real-life measurements.
Ingrid Cloud automated process applies geometrical heuristics to create an initial mesh, which is then refined only where necessary. This is a unique Ingrid Cloud feature! Guided by a posteriori error estimation in wind load prediction, the adaptive algorithm constructs local error indicators that decide what cells in the mesh must be refined to optimize the mesh.
Ingrid Cloud uses a mesh wrapper to remove imperfections in the geometry (such as intersections and small gaps); in other words, the geometry doesn’t need to be water tight! Default heuristics are used in the wrapper to decrease human error and accelerate the process.