Now showing items 1-6 of 6

    • Large-Eddy Simulations of Two In-Line Turbines in a Wind Tunnel with Different Inflow Conditions 

      Ciri, Umberto; Petrolo, Giovandomenico; Salvetti, Maria Vittoria; Leonardi, Stefano
      Numerical simulations reproducing a wind tunnel experiment on two in-line wind turbines have been performed. The flow features and the array performances have been evaluated in different inflow conditions. Following the ...
    • Effect of the Turbine Scale on Yaw Control 

      Ciri, Umberto; Rotea, Mario A.; Leonardi, Stefano
      Yaw misalignment between the incoming wind and the rotor of a turbine causes a lateral displacement of the wake. This effect can be exploited to avoid or mitigate wake interactions in wind farms, so that power losses are ...
    • 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 ...
    • Coupling of Mesoscale Weather Research and Forecasting Model to a High Fidelity Large Eddy Simulation 

      Santoni-Ortiz, Christian; Garcia-Cartagena, Edgardo Javier; Ciri, Umberto; Iungo, Giacomo V.; Leonardi, Stefano
      Numerical simulations of the flow in a wind farm in north Texas have been performed with WRF (Weather Research and Forecasting model) and our in-house LES code. Five nested domains are solved with WRF to model the meso-scale ...
    • Evaluation of Log-Of-Power Extremum Seeking Control for Wind Turbines Using Large Eddy Simulations 

      Ciri, Umberto; Leonardi, Stefano; Rotea, Mario A.
      The extremum seeking control (ESC) algorithm has been proposed to determine operating parameters that maximize power production below rated wind speeds (region II). This is usually done by measuring the turbine's power ...
    • 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 ...