Sanz Rodrigo, Javier
Chávez Arroyo, Roberto Aurelio
2017-06-26
<p>A mesoscale to microscale model chain that relates large scale wind climatologies with site conditions, for the<br>
prediction of wind resources and siting parameters, is under development within the New European Wind Atlas<br>
(NEWA) project. A statistical-dynamic downscaling method is proposed here based on the blending of long-<br>
term statistics of mesoscale forcings, extracted from the WRF mesoscale model, with site conditions simulated<br>
with unsteady k-ε Raynolds-Averaged Navier Stokes (URANS). The dynamic coupling of WRF and CFDWind<br>
has been developed using the GABLS3 diurnal cycle benchmark in flat terrain. The coupling is done offline by<br>
first running the WRF model to obtain time series of mesoscale tendencies (pressure gradient and advection<br>
terms) at a horizontal resolution of 3 km. Then, these tendencies are averaged temporally using a 1-hr rolling<br>
mean and spatially over a 3x3 grid at the site of interest to filter out small-scale forcings that will be explicitly<br>
modelled at microscale. These tendencies are reduced to a cycle of input forcings for the microscale model to<br>
simulate prevailing wind conditions. The methodology is tested at the Cabauw 100-m mast in flat terrain.</p>
https://doi.org/10.5281/zenodo.1194760
oai:zenodo.org:1194760
eng
Zenodo
https://zenodo.org/communities/newa
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.1194759
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
wind energy, wind resource assessment, meso-micro, URANS, tendencies, microscale, CFD, ABL, Cabauw, GABLS3
Downscaling of Wind Resources From Mesoscale Tendencies with URANS
info:eu-repo/semantics/lecture