1. Computational analysis of wind-turbine blade rain erosion
- Author
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Kenji Takizawa, Alessio Castorrini, Paolo Venturini, Tayfun E. Tezduyar, Franco Rispoli, and Alessandro Corsini
- Subjects
General Computer Science ,Turbine blade ,Meteorology ,wind turbine ,blades ,rain erosion ,SUPG and PSPG methods ,PCT model ,Flow (psychology) ,02 engineering and technology ,01 natural sciences ,law.invention ,0203 mechanical engineering ,law ,0101 mathematics ,Wind power ,business.industry ,General Engineering ,Aerodynamics ,Mechanics ,Finite element method ,010101 applied mathematics ,020303 mechanical engineering & transports ,Closure (computer programming) ,Erosion ,Environmental science ,business ,Reynolds-averaged Navier–Stokes equations - Abstract
Wind-turbine blade rain erosion damage could be significant if the blades are not protected. This damage would not typically influence the structural integrity of the blades, but it could degrade the aerodynamic performance and therefore the power production. We present computational analysis of rain erosion in wind-turbine blades. The main components of the method used in the analysis are the Streamline-Upwind/Petrov–Galerkin (SUPG) and Pressure-Stabilizing/Petrov–Galerkin (PSPG) stabilizations, a finite element particle-cloud tracking method, and an erosion model. The turbulent-flow nature of the analysis is handled with a RANS model and SUPG/PSPG stabilization, the particle-cloud trajectories are calculated based on the computed flow field and closure models defined for the turbulent dispersion of particles, and one-way dependence is assumed between the flow and particle dynamics. The erosion patterns are then computed based on the particle-cloud data. The patterns are consistent with those observed in the actual wind turbines.
- Published
- 2016