%0 Journal Article
%T A Method of Accelerating the Convergence of Computational Fluid Dynamics for Micro-Siting Wind Mapping
%A Hyun-Goo Kim
%J -
%D 2019
%R https://doi.org/10.3390/computation7020022
%X Abstract To assess wind resources, a number of simulations should be performed by wind direction, wind speed, and atmospheric stability bins to conduct micro-siting using computational fluid dynamics (CFD). This study proposes a method of accelerating CFD convergence by generating initial conditions that are closer to the converged solution. In addition, the study proposes the ¡®mirrored initial condition¡¯ (IC) using the symmetry of wind direction and geography, the ¡®composed IC¡¯ using the vector composition principle, and the ¡®shifted IC¡¯ which assumes that the wind speed vectors are similar in conditions characterized by minute differences in wind direction as the well-posed initial conditions. They provided a significantly closer approximation to the converged flow field than did the conventional initial condition, which simply assumed a homogenous atmospheric boundary layer over the entire simulation domain. The results of this study show that the computation time taken for micro-siting can be shortened by around 35% when conducting CFD with 16 wind direction sectors by mixing the conventional and the proposed ICs properly. View Full-Tex
%K computational fluid dynamics
%K micro-siting
%K wind mapping
%K initial condition
%K convergence
%U https://www.mdpi.com/2079-3197/7/2/22