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Wind Statistics Mapping Using a Higher-order Closure Meso-scale Model
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Earth Sciences, Department of Earth Sciences. Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Earth Sciences, Department of Earth Sciences, Air and Water Science. LUVAL. (Vindenergi)
2007 (English)In: European Wind Energy Conference 2007 Proceedings, 2007Conference paper (Other scientific)
Abstract [en]

The use of meso-scale models for wind resource assessments has increased as this type of model reproduce the complex and inhomogeneous wind fields often seen not only in complex terrain but also offshore. Here the higher-order closure MIUU-model developed at Uppsala University has been used to map the wind climate over Sweden. This type of model is, however, computer-time consuming to run. A method to estimate the climatological wind field using the MIUU model has been developed, reducing the total number of simulations needed. With this method only a limited number of climatologically relevant simulations are made. Weighting based on climatological data for the horizontal pressure gradient (geostrophic wind) is made in order to finally estimate the wind resource. The method is applicable for mapping the wind potential with a resolution of 0.5-10 km. To use this method geostrophic wind (strength and direction), sea and land temperatures, topography, roughness, and land-use are needed. Comparisons between model results and measurements show good agreement. The paper gives details on the technique and show wind statistics arrived at within a project where the wind climate over Sweden on a 1 km resolution is calculated. Wind distributions may be estimated both for speed and direction giving the two Weibull parameters as function of location and height. Turbulent kinetic energy, which is also an output parameter from the model calculations, has been used to estimate the climatology of turbulence intensity.

Place, publisher, year, edition, pages
Keyword [en]
Vindenergi, vindmodellering, vindklimat, turbulensintensitet
National Category
Meteorology and Atmospheric Sciences
URN: urn:nbn:se:uu:diva-12250OAI: oai:DiVA.org:uu-12250DiVA: diva2:40019
Available from: 2007-12-07 Created: 2007-12-07

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