The Parametric Modeling and Two-Objective Optimal Design of a Downwind Blade

To cope with the future challenges to blade that will be introduced by development of extreme-scale wind turbines, this study focuses on optimization design aerodynamic shape a downwind via inverse method. Moreover, genetic algorithm is used optimize chord, twist angle, and pre-bending parameters maximize energy production rotor minimize flapping bending moment root. By taking 5-MW turbine as object, two-objective carried out, Pareto optimal solutions in line expectations are obtained. After analyzing four representatives solutions, while more ideal solution found sacrifice 9.41% rotor, root reduced 42.92%, thereby achieving lightweight an blade. Furthermore, based selected sets blades, influence mechanisms goal analyzed, it parameter has greatest two goals.