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dc.contributor.authorSmet, Geert
dc.contributor.authorVan den Bergh, Joris
dc.contributor.authorTermonia, Piet
dc.coverage.spatialNorth Seaen_US
dc.coverage.spatialBelgiumen_US
dc.coverage.temporal01 September 2015 - 31 March 2016en_US
dc.coverage.temporal01 September 2017 - 31 January 2018en_US
dc.date2019-01-31
dc.date.accessioned2020-03-19T13:24:15Z
dc.date.available2020-03-19T13:24:15Z
dc.identifier.citationSmet, G; Van den Bergh, J.; Termonia, P. (2019-01-31). Probabilistic storm forecasts for wind farms in the North Sea, ALADIN-HIRLAM Newsletter, Vol. 12, 17-24.en_US
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7467
dc.descriptionIn the last few years there has been a significant increase in Belgian offshore wind energy production, with more capacity being expected by 2020. Storm events over the North Sea can impact many of these wind farms at roughly the same time, because they are situated relatively close together in a narrow band in the North Sea. Each wind turbine has a characteristic cut-out (wind) speed, above which they will shut down as a protection measure. In case of a major storm, many wind turbines could shut down at the same time, creating a so called cut-out event for the wind farm(s). When such cut-out events occur at multiple wind farms at the same time, this can lead to large imbalance risks in the electricity grid. To better understand and predict such events, the Royal Meteorological Institute of Belgium (RMI) is involved in the development of a dedicated storm forecast tool for Elia, the Belgian transmission system operator for high-voltage electricity.en_US
dc.languageengen_US
dc.titleProbabilistic storm forecasts for wind farms in the North Seaen_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.subject.freeNumerical Weather Predictionen_US
dc.subject.freeEnsemble Forecastingen_US
dc.subject.freeRenewable Energyen_US
dc.subject.freeWind Poweren_US
Orfeo.peerreviewedNoen_US


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