In this study, computational fluid dynamics (CFD) methods were adopted to
predict the runner blade performance of the propeller turbine. The geometrical
parameters and internal performance parameters, such as flowrate (0.08 – 0.2
m3
/s), and the turbine runner model based on the three different blade angles (i.e.,
25 degrees, 30 degrees, and 35 degrees), were analyzed, using Fluent ver.18.2.
CFD commercial code. The Reynolds Averaged Navier Stokes equation with the
shear stress transport k-ω turbulence models used to simulate the unsteady model,
to predict the turbine performances by investigating dimensionless parameters
such as tip speed ratio (λ), power coefficient (Cp), torque (T), etc. The
performance characteristics of the runner blade on CFD data were compared
with the reference case to analyze the suitability of the blade angle in potential
energy extraction. The analysis found that the interaction between the flowrate
and blade angle affects the performance of the turbine. The performance
efficiency of the runner blade had also consistently shown the characteristic trend
of nonlinear increases to peak to an optimum value, before decreasing with
increased blade angle. Results found that both the power coefficient and the
efficiency were higher for the blade angle of 25 degrees than for the blade angles
of 30 degrees and 35 degrees.