HORIZON-CL5-2023-D3-02-14 : wind energy

Digital twin for forecasting of power production to wind energy demand.

Such a digital twin is expected to integrate [at least three of the following bullet points]:

  1. Wind and weather forecast models relevant for the full wind power production system (turbines, grid, transmission) (including the effects of external physical conditions such as temperatures, rain, turbulences, waves, and currents).
  2. Spatial modelling: medium (within wind farms) to long distance (between/along wind farm clusters) wake effects.
  3. Interconnection optimisation via simulations to satisfy grid connection requirements and agility in grid reconfiguration and provide ancillary services.
  4. Include predictive maintenance, structural health and conditional monitoring, and
  5. End user location and needs.

Conditions d'éligibilité


Lump Sum.
Taux entreprise : 100%

Informations sur le projet

Date limite : 05 . 09 . 2023 à 12:00


  • PME
  • ETI
  • Groupe
  • Académique

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