Using a Langevin model for the simulation of environmental conditions in an offshore wind farm

Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 642108. Data from Fino 1 was provided by BMWi and PTJ. Helene Seyr Department of Civil and Environmental Engineering helene.seyr@ntnu.no +47 40086761heim, Norway • The optimization of operations and maintenance (O&M) is a focus of current research. • Many simulation models/optimizations rely on artificially generated weather time series to test different strategies. • We present a novel approach to modeling both the significant wave height and wind speed based on measurements from the site. • We use a stochastic process called Langevin process. First, equations are fitted to the available data, which are then used to generate the artificial weather. Data • ECMWF: re-analysis, 6 hour resolution, Dogger Bank WF, 37 years

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