Wind farm efficiency assessed by WRF with a statistical-dynamical approach

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    Abstract

    A pledge to increase the share of renewable energies has led to a focus on offshore wind energy in many western European countries. With an increasing number of offshore wind farms to be installed it becomes important to understand (I) the degree to which wakes from neighbouring wind farms affect the power production of a target wind farm and (II) how large wind farms can get if they are to remain efficient and productive power generators. The modelling of wind farm wake flows is challenging, since it includes processes from the micro- to mesoscale meteorology. We use the Weather Research and Forecast (WRF) model that allows us to simulate mesoscale features of wind farm wakes. Its limited horizontal resolution – in microscale terms – however, requires flow characteristics, such as single turbine wakes, to be parametrised.
    Original languageEnglish
    Title of host publicationEMS Annual Meeting Abstracts
    Volume13
    Publication date2016
    Publication statusPublished - 2016
    Event16th Annual Meeting of the European Meteorological Society / 11th European Conference on Applied Climatology - Trieste, Italy
    Duration: 12 Sept 201616 Sept 2016
    Conference number: 16 / 11
    http://www.ems2016.eu/

    Conference

    Conference16th Annual Meeting of the European Meteorological Society / 11th European Conference on Applied Climatology
    Number16 / 11
    Country/TerritoryItaly
    CityTrieste
    Period12/09/201616/09/2016
    Internet address

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