Large-scale wind generation simulations: From the analysis of current installations to modelling the future

Matti Juhani Koivisto*, Petr Maule, Poul Sørensen, Lukas Galdikas, Nicolaos Antonio Cutululis, Simone Biondi

*Corresponding author for this work

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Modelling and understanding variability in wind generation will be increasingly important in the future with growing shares of wind power in energy systems. Crucially, the modelling needs to be extended to future scenarios, also considering the expected technological development of installations. Reanalysis data is often used in large-scale simulations to model the variability in wind. Wind power plant (WPP) data is also required, but may be only partially available. In this paper, a methodology for estimating missing hub height data is presented, using multiple regression models and large WPP and turbine datasets. The resulting estimated hub heights are presented on a pan-European level, and a scenario with capacity factor development until 2050 for two example countries is shown in detail.
Original languageEnglish
Article number012034
Book seriesJournal of Physics: Conference Series (Online)
Issue number1
Number of pages9
Publication statusPublished - 2018
EventWindEurope 2018 Conference at the Global Wind Summit - Hamburg, Hamburg, Germany
Duration: 25 Sep 201828 Sep 2018


ConferenceWindEurope 2018 Conference at the Global Wind Summit
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