pypsa-eur
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Use wind classes for turbine placement (based on GASP)
GASP = Global Atlas for Siting Parameters
High-resolution (250m) worldwide dataset with among others recommendations for which wind turbine type to place where from DTU/GWA group: https://onlinelibrary.wiley.com/doi/epdf/10.1002/we.2771
It could be a good improvement to distinguish wind turbine classes (based on IEC + S + T types), determine their potentials per grid cell based on the GASP dataset and derive wind turbine profiles for the individual classes for each clustered node (instead of single CF time-series and potential per grid cell with generalised power curve assumption)
- add resource classes as additional layer for availability matrix
- need to consider different costs for different wind turbines and resource classes (e.g. higher cost for low-wind turbine due to overdimensioned rotor blades)
- possibly handle classes through config where wind turbines are defined for each wind class as dictionary?