Now showing items 1-4 of 4

    • Data-Driven RANS for Simulations of Large Wind Farms 

      Iungo, Giacomo V.; Viola, F.; Ciri, Umberto; Rotea, Mario A.; Leonardi, Stefano
      In the wind energy industry there is a growing need for real-time predictions of wind turbine wake flows in order to optimize power plant control and inhibit detrimental wake interactions. To this aim, a data-driven RANS ...
    • Data-Driven Reduced Order Model for Prediction of Wind Turbine Wakes 

      Iungo, Giacomo V.; Santoni-Ortiz, Christian; Abkar, M.; Porté-Agel, F.; Rotea, Mario A.; Leonardi, Stefano
      In this paper a new paradigm for prediction of wind turbine wakes is proposed, which is based on a reduced order model (ROM) embedded in a Kalman filter. The ROM is evaluated by means of dynamic mode decomposition performed ...
    • Dynamic Prescribed-Wake Vortex Method for Aerodynamic Analysis of Offshore Floating Wind Turbines 

      Aird, Jeanie; Gaertner, Evan; Lackner, Matthew (Sage Publications Ltd, 2018-12-31)
      A prescribed-wake vortex model for evaluating the aerodynamic loads on offshore floating turbines has been developed. As an extension to the existing UMass analysis tool, WInDS, the developed model uses prescribed empirical ...
    • Effects of Incoming Wind Condition and Wind Turbine Aerodynamics on the Hub Vortex Instability 

      Ashton, Ryan; Viola, F.; Gallaire, F.; Iungo, Giacomo V.
      Dynamics and instabilities occurring in the near-wake of wind turbines have a crucial role for the wake downstream evolution, and for the onset of far-wake instabilities. Furthermore, wake dynamics significantly affect the ...