MSc forsvar Rasmus Petersen

Supervisors: Senior Researcher Rogier Floors and Senior Researcher Mark Kelly, DTU Wind Energy

Examiner: Lars Landberg, DNV-GL

Title: Using Large-scale Weather Model Data to Improve Vertical Extrapolation in Wind Resource Assessment

The purpose of this study is to determine whether large-scale weather model data can provide information to improve the prediction in the long-term mean wind profile estimations in the Wind Atlas Analysis and Application Program (WAsP).The variables to be investigated are the stability and baroclinicity. For stability corrections, sectorwise mean and root-mean-square values of the surface-layer temperature scale are utilized and to correct the baroclinicity, sectorwise geostrophic shear at the surface and direction are used. The reanalysis variables are tested individually and joint throughout different model configurations. The vertical extrapolation estimations of the model configurations are tested in various sites across the world in both stable and unstable conditions and validated to tall met mast at the sites, then compared to the default model predictions.

From the sensitivity analysis of the models, it is found that the stability correction affects the model mostly. The performance of the model was shown to improve for sites in stable conditions, whereas the result in unstable conditions is not consistent.


man 24 feb 20
13:00 - 15:00


DTU Vindenergi


DTU Vindenergi, DTU Risø campus, Frederiksborgvej 399, 4000 Roskilde, Tycho Brahe mødelokale.