Offshore wind generation time series for technology SP316 HH155 (PECD 2021 update)
This data (csv file) provides simulated hourly time series of offshore wind generation with specific power (SP) 316 W/m2 turbines at hub height (HH) of 155 m for the regions shown in the attached map. The analysed offshore wind power plants are sited at the best sites with max 100 km distance to shore, except for the far-offshore North Sea regions (the regions which do not have any connection to shore) where all locations are allowed. The map shows the resulting capacity factors (annual mean). The Excel file gives the average distance to shore for each individual region. Wake losses are modeled, with additional 5 % of other losses and unavailability considered.
The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00_OFF is the aggregated offshore wind generation of all the UK regions (weighted by regional installed capacities).
The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members.
The linked journal paper (1st link) describes the ERA5-based simulation methodology. It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the modeling of wake losses for the offshore wind power plants and the storm shutdown behaviour (the smoothest storm shutdown technology is assumed).
This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
PECD 2021 update project for ENTSO-E
Related publications (DOI or link to DTU Orbit, DTU Findit)
DateStart date: 1982-01-01 Stop date: 2019-12-31
- Wind power plant;>Other
- Meteorological data
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