Turbulence
model
The turbulence model utilized for this investigation is thek ω SST(shear-stress transport) model. It is a two-equation
model and is created by [30], has the advantage of having the option
to change from a k-ε turbulence model [31] to a k-ω turbulence model
[32]. This model has been used widely in the area involving wind
turbine blades with well-disposed results [33, 34]. However, to use
this transport equation for the SST model to calculate the turbulent
kinetic energy k and the specific dissipation rate ωFluent [22] is used to analyze turbulence modeling.
Solution method
This paper depicts the figuring of the numerical arrangement by
utilizing the ANSYS and sets out the verification of the numerical
outcomes. The air is considered as incompressible [35]. Because of
this, the fluid density has been taken as 1.225 kg/m3. The viscosity is
likewise thought to be consistent at 1.7894×103 kg/ms. The
incompressible RANS (Reynolds-Averaged Navier-Stokes) conditions are
measured utilizing the pressure-based coupled algorithm, which
understands the pressure and momentum-based continuity equation in a
firmly coupled way and solves it.
Convergence
criteria
To assess the convergence for the solution of the CFD, the residual
plays a vital role in acquiring it. In this study, six variables of
residual values are monitored during the calculation process and they
are continuity, x velocity, y velocity, z velocity, turbulent kinetic
energy k and the specific dissipation rate ω. The solution
is deemed to be converged when these residual values below
104 [36] which is the typical value used for
residual convergence criterion in the CFD modeling of wind turbine
blades. An example of a history of residual values is depicted in Figure
12. In this case, the wind speed, rotor rotational speed, pitch angle
are 7m/s, 72rpm, 5° respectively. As can be seen from Figure 12, the
residual values of all variables are less than 104,
meeting the convergence criterion.