Data availability for the work entitled "Simulation-based optimization approach of a hydrokinetic river turbine enhanced by a diffuser".

The following data is provided to replicate the results:

1) Python snippet 'Bezier_snippet.py' to generate second-order Bezier curves.

2) Scripts 'b_pyOpt_OF_Dif.py' y 'b_pyOpt_OF_Rot.py'. ALPSO optimizer setup files for continuous and discrete problems, respectively.

3) a 3D full computational domain to perform CFD simulations in OpenFOAM, constructed from the following variables:

3.1) Rotor variables
*A1=11 ##Case within the vector of parameter sets that generate feasible chords
*A2=73 ##Case within the vector of parameter sets that generate feasible twists
*A3=7 ##Case within the vector of parameter sets that generate feasible thicknesses

3.2) Diffuser variables
*C1 = 789.54 -> Chord length in mm
*C2 = 816.77 -> Chord length in mm
*C3 = 995.21 -> Chord length in mm
*C4 = -2.61 -> Angle of attack in degrees
*C5 = 8.48 -> Angle of attack in degrees
*C6 = 14.304 -> Angle of attack in degrees
*C7 = 0.0984 -> Overlap as fraction of C1
*C8 = 0.1177 -> Gap as fraction of C1
*C9 = 0.06127 -> Overlap as fraction of C2
*C10 = 0.1329 -> Gap as fraction of C2
*R = 750.0 -> Radius of the rotor
*fgr = 0.05 -> tip clearance as fraction of the radius