An API connection into an external map server – Helcom.fi/MADS –enabled fast integration of large volumes of spatial datasets used tobuild and contextualize the project. Geospatial data such as bathymetry,maritime activity, MetOcean, subsea infrastructure, flora and fauna wasimported into FieldTwin.
With all the data in place, FutureOn then created the digital model ofthe Anholt windfarm, including the turbine, substation and inter-arraycabling geolocated in-line with published field data from the operator(Orsted). Turbines were modeled to match OEM specifications (SiemensGamesa) and modeling in the 2D and 3D viewer, enabled spatial contextwith coastline and GIS data.
FieldTwin also allowed the visualization of windfarm wake effect datawithin the 3D model. This workflow reviewed multiple study data inparallel within the same model. This process can be explored with anAPI link into simulation tools.
With faster integration from multiple sources, FieldTwin quickly auto-generated a generic windfarm layout as proof of concept. This explorationinto technology transfer of geospatial data models and digital twins high-lights the availability of existing datasets and toolkits from the offshoreoil and gas industry which can readily be updated and augmented tosupport workflows in the offshore wind sector