Wind energy estimation over forest canopies using WRF mesoscale model
2014 (English)In: EWEA 2014: Barcelona, Spain: Europe’s Premier Wind Energy Event, European Wind Energy Association , 2014Conference paper, Poster (Other academic)
Forests increase turbulence and wind shear/veer and reduce wind speeds above forest canopies. Complex forestry issues cannot be properly modelled by existing mesoscale models that use a bulk approach consisting of surface roughness and displacement height .
Forest parameterizations in WRF or, alternatively, a full forest canopy version of WRF will broaden the usage of the model both in the wind farm industry and in the research community. Such a model might lead to a better estimation of the energy yield and turbine loads already at the resource assessment stage. Eventually mesoscale models with very high horizontal and vertical resolution could also be used at the wind turbine siting stage (instead of using CFD models).
In this study, a forest canopy is implemented in the WRF mesoscale model  in order to investigate the capability of the mesoscale model for wind resource assessment over forested areas. Forest-canopy drag was included in the Fitch-scheme of the WRF mesoscale model. The Fitch-scheme that is usually used for modelling wind turbine drag  can easily be modified, in order to take forest canopy drag into account.
For a full forest canopy version of WRF, however, the surface energy balance has to be modified in order to account for a multi-level forest canopy. This could be done by using existing multi-level forest energy balance models such as WRF-SPA .
Place, publisher, year, edition, pages
European Wind Energy Association , 2014.
Wind Energy, Forest Canopy, WRF, Mesoscale Model
Meteorology and Atmospheric Sciences
Research subject Meteorology
IdentifiersURN: urn:nbn:se:uu:diva-241263OAI: oai:DiVA.org:uu-241263DiVA: diva2:778071
European Wind Energy Association, EWEA 2014, Barcelona, Spain, 10-13 March 2014
ProjectsLjud från vindkraftverk, modell-validering-mätning
FunderSwedish Energy Agency, 32437-1