Influences de l'environnement d'un parc éolien sur la prévision de sa production électrique à l'aide des modèles GFS (50km/3h) et WRF (2km/15min) : Le cas du parc éolien d'Amel (Haute-Belgique)
French
[en] Influences of the environment of a wind farm on the forecasts of its power generation using models GFS (50km/3h) and WRF (2km/15min) : The case study of Amel wind farm (High Belgium)
Doutreloup, Sébastien[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Fettweis, Xavier[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Erpicum, Michel[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
6-Sep-2011
Actes du XXIVème Colloque International AIC : Climat Montagnard et Risques
Fazzini, Massimiliano
Beltrando, Gérard
209-214
No
International
978-2-907696-17-3
XXIVème Colloque International AIC
du 6 septembre 2011 au 10 septembre 2011
Université de Ferrara
Rovereto
Italie
[en] Wind power ; GFS model ; WRF model ; Belgium
[en] The economic and climate contexts require to use more electricity from wind farms. However this kind of production is intermittent, therefore it is necessary to forecast this resource at least 1 day ahead. Our laboratory has developed a forecasting model of wind-based electricity generation based on a global meteorological model (GFS) with a resolution of 50 km and 3 h. But this model has a resolution too coarse for a wind farm. So we have configured the regional model WRF with resolution of 2 km and 15 min to obtain better forecasts. Finally, the WRF model provides better forecasts, but both must be adjusted to take into account the direct environment of the wind farm.
[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
