The effect of stability on the coastal gradients at the Anholt wind farm

Patrick Volker, Charlotte Bay Hasager, Merete Badger, Kurt Schaldemose Hansen

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    We use Synthetic Aperture Radar (SAR) and SCADA measurements and mesoscale model simulations from the Weather Research and Forecast (WRF) model[3] to analyse the flow conditions at the Danish offshore wind farm at Anholt.
    The first Danish oshore wind farms have been installed in the North Sea of Denmark’s West coast. In this location, the wind conditions have been extensively analysed [2]. Then, around 10 years later the large Anholt wind farm (nominal power of 400 GW) – situated in the Kattegat Strait to the East coast of the Jutland peninsula – has been commissioned. The Anholt wind farm stretches around 20 km in the South-North direction and the fetch increases from 15 km in the southern part to 50 km in the northern part of the wind farm. The relatively complex westerly flow conditions at this location are still not completely understood. We use the 10-year SAR satellite measurements and WRF numerical simulations to identify general dierences in wind conditions between Jutland’s West- and East-coast. The 10m neutral wind speeds retrieved from satellite images are obtained between 2002 and 2012. The WRF wind speeds are for the same period and at the same height from simulations that cover in total 1025 x 530 km (fig.1) with a horizontal grid-spacing of 5 km [1]. Furthermore, we investigate how the strength of the wind speed gradient in the South-North direction of the wind farm depends on the atmospheric stability and on the wind speed. Here, we use, additionally to the SAR measurements and WRF simulations, also Supervisory control and data acquisition (SCADA) measurements from the westerly most wind turbines. The SCADA measurements
    have been kindly provided by DONG Energy and partners.
    Original languageEnglish
    Publication date2017
    Publication statusPublished - 2017
    EventWind Energy Science Conference 2017 - Kgs. Lyngby, Denmark
    Duration: 26 Jun 201729 Jun 2017


    ConferenceWind Energy Science Conference 2017
    CityKgs. Lyngby
    Internet address


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