MC4 Wind Energy And Topography 2

Abstract

In this study mesoscale meteorological model and CFD model was used to downscale the numerical weather prediction (NWP) data and verified at Hachijo Jima wind power plant. To reduce the computational cost of mesoscale model, coefficient matrix method was proposed. Following results were obtained. The root mean square error (RMSE) was reduced to 3.1 m/s and 2.8m/s by mesoscale and CFD model respectively from 5.7m/s of original NWP. The coefficient matrix method reduced the computational time to a few seconds by one PC from two hours by parallel computers with 8CPUs without increasing the prediction error.