3D Multidisciplinary Automated Design Optimization Toolbox for Wind Turbine Blades

This paper presents two novel automated optimization approaches. The first one proposes a framework to optimize wind turbine blades by integrating multidisciplinary 3D parametric modeling, physics-based scheme, the Inverse Blade Element Momentum (IBEM) method, and Reynolds-averaged Navier–Stokes (RANS) simulation; second method introduces combining modeling an integrated goal-driven together with 4D Unsteady (URANS) solver. In approach, toolbox operates concurrently other software packages through scripts. process modifies model of blade decreasing twist angle increasing local attack (AoA) across at locations lower than maximum lift/drag ratio until mean for whole is found. exploits stall delay, which often ignored in regular 2D BEM approach. approach focuses on shape individual cross-sections where near trailing edge adjusted achieve high power output, using verified URANS Computational Fluid Dynamics (CFD) simulation rotor. results obtained from case study indicate that (1) rotor generates more accurate RANS single periodic boundary conditions; (2) can automatically produce geometry satisfies objective, while less desirable as delay not prominent enough be fruitfully exploited this particular study.