RANS

Inflow uncertainty quantification

Changes in the inflow conditions can largely impact flow and dispersion patterns in atmospheric boundary layer (ABL) simulations. The variability in the inflow conditions is a major aleatory uncertainty when predicting flows in the atmosphere, which can not be removed from the problem, and thus should be assessed adequately. To quantify the effect of inflow uncertainty on the simulation results we apply an approach based on three steps: 1) characterize the uncertain inflow parameters, i.

Uncertainty quantification for microscale CFD simulations based on input from mesoscale codes

Accurate predictions of wind and dispersion in the atmospheric boundary layer (ABL) can provide essential information to support design and policy decisions for sustainable urban areas. However, computational fluid dynamics (CFD) predictions of the …