flasc.utilities.optimization.estimate_ti

Contents

flasc.utilities.optimization.estimate_ti#

flasc.utilities.optimization.estimate_ti(fm, P_measured, Ns, bounds, turbine_upstream, turbines_downstream, refine_with_fmin=False, verbose=False)[source]#

Estimate the turbulence intensity for a given turbine.

This function is used to estimate the turbulence intensity for a given turbine.

Parameters:

  • fm (FlorisModel) -- FlorisModel object.

  • P_measured (np.array) -- Measured power data.

  • Ns (int) -- Number of steps for optimization.

  • bounds (list) -- Bounds for optimization.

  • turbine_upstream (int) -- Upstream turbine.

  • turbines_downstream (list) -- Downstream turbines.

  • refine_with_fmin (bool) -- Refine with fmin. Default is False.

  • verbose (bool) -- Print verbose output. Default is False.

Returns:

Dictionary with the following

keys: - x_opt: Optimal time shift. - J_opt: Optimal cost function value. - x: Time shifts evaluated. - J: Cost function values evaluated.

Return type:

dict

Contents