Wave Farms are composed by a series of devices, that can harnest the energy of waves. Although this devices are floating, they are achored to the sea floor, so they do not drift away. There are many shapes and sizes of wave energy converters, so we refrain to ilustrate them here.
Wave Farms are used to produce green energy, in the MSP challenge the calculated amount of energy produced by a wind farm is based on its area.
Wave farms are depicted as polygons, i.e., geometric shapes that you can draw in, edit or remove when making a plan. They create the following pressures on the ecosystem:
Return to energy.
The placement restrictions decide whether the overlap of spatial elements causes:
Errors - Impossible to place these layers on top of each other due to physical limitations.
Warnings - Warnings that it should be done, but won't stop the placement.
The ecological pressures are scaled on a level from 0 to 1; with 0 meaning no pressure, and 1 meaning the maximal impact on that pressure.
Wave farms disallow all the bottom trawl, industrial and pelagic trawl, and drift and fixed nets fleets.
Rijkswaterstaat data drawn by hand to incorporate in a previous version of the MSP Challenge.
Not available.
Not available. Previous than 2016.
Reprojected the data layer to Lambert Azimuthal Equal Area (EPSG:3035).
Baltic Sea types here
Enter data source for Baltic Sea here.
Enter name of the layer at the Baltic Sea source.
Enter the description of the Baltic Sea dataset here.
yyyy-mm-dd Baltic Sea
Enter here how the layer was prepared to be integrated into the MSP Challenge Baltic Sea Edition.
Clyde Marine Region types here
Enter data source for Clyde Marine Region here.
Enter name of the layer at the Clyde Marine Region source.
Enter the description of the Clyde Marine Region dataset here.
yyyy-mm-dd Clyde Marine Region
Enter here how the layer was prepared to be integrated into the MSP Challenge Clyde Marine Region Edition.
None
Enter data source for Adriatic Sea here.
Enter name of the layer at the source.
Enter the description of the Adriatic Sea dataset here.
yyyy-mm-dd Adriatic Sea
Enter here how the layer was prepared to be integrated into the MSP Challenge.