Provision of wind information for site tenders for offshore wind farms according to WindSeeG in the German North and Baltic Seas

The construction of offshore wind farms in Germany's Exclusive Economic Zone (EEZ) is an important component for the successful implementation of the energy transition. In 2021 the Federal Network Agency started to launch yearly tenders for sites in the North Sea and Baltic Sea which are conducted in cooperation with the Federal Maritime and Hydrographic Agency (BSH) according to the Wind Energy Act (WindSeeG). The German Meteorological Service (DWD) supports the BSH in compiling the required wind information. This information is made publicly available by the BSH to bidders via the PINTA portal (https://pinta.bsh.de) as part of the tendering procedures.

Detailed information on the wind conditions on the sites is crucial for the bidders' bid calculations. This information is compiled in collaboration by the BSH and the DWD with the participation of external contractors. In detail, these are in-situ measurements on the research platforms in the North Sea and Baltic Sea, FINO1, FINO2 and FINO3 (https://www.fino-offshore.de/de/index.html). Furthermore, this comprises one-year LiDAR measurements are carried out by external contractors on behalf of the BSH at the sites to be tendered, as well as data and evaluation results of the COSMO-REA6 and ERA5 reanalyses are provided by the DWD. These data sets are the basis for the preparation of summarised overall reports on the wind conditions on the sites.

The reanalysis and measurement data provided allow a detailed investigation of the seasonal variability as well as an in-depth assessment of the current as well as the historical wind field on each site. The focus of the measurements is on the heights relevant for future wind turbine types, i.e. in the range of 40 to 200 metres. The evaluation of the reanalyses is carried out for the grid points closest to the areas as well as the surrounding grid points and is validated using the existing measurement data. Previous evaluations show a very good correlation, which gives the reanalyses a high significance to determine the wind conditions on the sites. In addition, information on interannual variability is required. Long-term time series of geostrophic wind derived from air pressure data from coastal stations enable an assessment of multi-decadal variations.