There are various applications where it is interesting to feed OpenCLSim hydrodynamic info (water depths, currents, waves) to test how the logistics will be affected:
- workability affecting complex construction logistics (linking to MATROOS, ERA5)
- extreme low discharge events affecting inland waterway transport hinterland transport (linking to FEWS, SOBEK)
- tidal effects (waterlevels, currents) affecting port performance (linking to OSR, DELFT3D)
- Van Halem-like smart routing: decide on loading rates, based on shortest, fastest, environmentally friendliest routing through dynamically varying flow fields
We like to establish 'standardized' connections where it becomes very easy to include such models and datasets. The Jupyter book should contain easy to follow examples lowering the thresholds of applying these connections.
There are various applications where it is interesting to feed OpenCLSim hydrodynamic info (water depths, currents, waves) to test how the logistics will be affected:
We like to establish 'standardized' connections where it becomes very easy to include such models and datasets. The Jupyter book should contain easy to follow examples lowering the thresholds of applying these connections.