Published April 29, 2026 | Version v2
Dataset Open

Open European offshore wind turbine database

  • 1. ROR icon Technical University of Denmark
  • 2. ROR icon Fraunhofer Institute for Wind Energy Systems
  • 3. EDMO icon German Weather Service, Meteorological Observatory (Hamburg)

Description

An open  European offshore wind turbine database for mesoscale modelling of European offshore wind farms is presented, containing all operating wind farms as of commissioning date before 2026-01-27. The approach integrates turbine locations from the OpenStreetMap [1] and EMODnet [2] with metadata on turbine and wind farm properties from additional public sources.

The turbine information is augmented with generic thrust and power curves calculated via the pyWake [3] turbine generator [4].

The database will be updated continuously; changes to the previous version of the dataset from August 2025 are documented in the log_update_20260127.txt file.

References
[1] OpenStreetMap contributors (2025). Distributed under the Open Database License (ODbL)
[2] https://emodnet.ec.europa.eu/geoviewer/ 
[3] Mads M. Pedersen, Alexander Meyer Forsting, Paul van der Laan, Riccardo Riva, Leonardo A. Alcayaga Romàn, Javier Criado Risco, Mikkel Friis-Møller, Julian Quick, Jens Peter Schøler Christiansen, Rafael Valotta Rodrigues, Bjarke Tobias Olsen and Pierre-Elouan Réthoré. (2023, February). PyWake 2.5.0: An open-source wind farm simulation tool. https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake, DTU Wind, Technical University of Denmark.
[4] https://topfarm.pages.windenergy.dtu.dk/PyWake/notebooks/WindTurbines.html

 

Files

20260127_eww_opendatabase.csv

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Additional details

Related works

Is referenced by
Poster: 10.5194/ems2025-338 (DOI)