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) ; 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)
peer reviewed ; 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 fore... Mehr ...
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Dokumenttyp: | conference paper |
Erscheinungsdatum: | 2011 |
Schlagwörter: | Wind power / GFS model / WRF model / Belgium / Physical / chemical / mathematical & earth Sciences / Earth sciences & physical geography / Physique / chimie / mathématiques & sciences de la terre / Sciences de la terre & géographie physique |
Sprache: | Französisch |
Permalink: | https://search.fid-benelux.de/Record/base-26983571 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/101087 |
peer reviewed ; 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.