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Fillets on leading edges (LE) of turbine blades alter flow patterns and change the loss profile. A bidirectional flow impulse turbine utilized for harnessing wave energy is introduced and computational fluid dynamics (CFD) was used to perform various analysis. In the present work, fillets of different radii on the leading and trailing edges of both the rotor blade (RB) and guide vane (GV) are modified to study the change in overall performance. After an appropriate gird convergence study, ANSYS-CFX 16.0 solver is used for solving the Reynolds averaged Navier-Stokes (RANS) equations incorporating the k-ω -SST turbulence closure model. The numerical investigations were performed using the high-resolution scheme with the convergence criteria of 10−6 to produce unwavering results. The results show that the boundary layer near the endwall creates flow blockage and losses. Also, the increase in pressure drop due to the thickening of the boundary layers (BLs) across the blade/vane leads to a depletion in the overall performance of the turbine. The rotor and guide vane filleted turbine experience higher losses than the base model due to the radial pressure gradient that is explained with post-processed figures. The concept of fillet shapes has been applied to gas turbines and which improves the performance of the turbine due to a reduction in the secondary flow losses occurring inside the turbine and the same concept has been applied to wave energy air turbine to check its performance based on the losses present across the turbine passage. [ABSTRACT FROM AUTHOR]

The oscillating water column (OWC) based wave energy devices require a turbine for the conversion of wave energy to electrical energy. Customarily, Wells and impulse turbines have been widely accepted for this energy conversion. However, the damping (i.e. the pressure drop developed based on volume flow rate) induced by the turbine significantly influences the performance of the OWC. The present study involves two different impulse turbines that is, reference and optimized. Initially, the reference turbine was numerically validated with two different turbulence models (k - ε and SST). It was found that the SST predicted better than k - ε in terms of flow separation and efficiency. This numerical methodology was extended to the optimized turbine and detailed flow physics has been presented in this article. Furthermore, both the turbines were compared in terms of pressure drop, turbine pressure coefficient, and turbine damping coefficient. It was observed that the induced damping by the optimized turbine is less than the reference turbine. Finally, different diameters were arrived from the optimized turbine by the principle of dynamic similarity to match with an available optimum range of damping. [ABSTRACT FROM AUTHOR]