Abstract
Abstract. Advanced aeroelastically optimized tip extensions are among rotor innovation concepts which could contribute to the higher performance and lower cost of
wind turbines. A novel design optimization framework for wind turbine blade tip extensions based on surrogate aeroelastic modeling is presented. An
academic wind turbine is modeled in an aeroelastic code equipped with a near-wake aerodynamic module, and tip extensions with complex shapes are
parametrized using 11 design variables. The design space is explored via full aeroelastic simulations in extreme turbulence, and a surrogate model is
fitted to the data. Direct optimization is performed based on the surrogate model seeking to maximize the power of the retrofitted turbine within
the ultimate load constraints. The presented optimized design achieves a load-neutral gain of up to 6 % in annual energy production. Its
performance is further evaluated in detail by means of the near-wake model used for the generation of the surrogate model and compared with a
higher-fidelity aerodynamic module comprising a hybrid filament-particle-mesh vortex method with a lifting-line implementation. A good agreement
between the solvers is obtained at low turbulence levels, while differences in predicted power and flapwise blade root bending moment grow with
increasing turbulence intensity.
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
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