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Wind energy estimation over forest canopies using WRF mesoscale model
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences. (LUVAL)
2014 (English)In: EWEA 2014: Barcelona, Spain: Europe’s Premier Wind Energy Event, European Wind Energy Association , 2014Conference paper, Poster (Other academic)
Abstract [en]

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 [1].


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 [2] 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 [3] 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 [4].

Place, publisher, year, edition, pages
European Wind Energy Association , 2014.
Keyword [en]
Wind Energy, Forest Canopy, WRF, Mesoscale Model
National Category
Meteorology and Atmospheric Sciences
Research subject
URN: 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
Ljud från vindkraftverk, modell-validering-mätning
Swedish Energy Agency, 32437-1
Available from: 2015-01-09 Created: 2015-01-09 Last updated: 2015-01-19Bibliographically approved

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Matthias, Mohr
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