3D MULTIDISCIPLINARY AUTOMATED DESIGN OPTIMIZATION TOOLBOX FOR WIND TURBINE BLADES
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Date
2021-04
Authors
Sagimbayev, Sagi
Kylyshbek, Yestay
Batay, Sagidolla
Zhao, Yong
Fok, Sai
Lee, Teh Soo
Journal Title
Journal ISSN
Volume Title
Publisher
Processes
Abstract
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,
a physics-based optimization scheme, the Inverse Blade Element Momentum (IBEM) method, and 3D
Reynolds-averaged Navier–Stokes (RANS) simulation; the second method introduces a framework
combining 3D parametric modeling and an integrated goal-driven optimization together with a 4D
Unsteady Reynolds-averaged Navier–Stokes (URANS) solver. In the first approach, the optimization
toolbox operates concurrently with the other software packages through scripts. The automated
optimization process modifies the parametric model of the blade by decreasing the twist angle and
increasing the local angle of attack (AoA) across the blade at locations with lower than maximum
3D lift/drag ratio until a maximum mean lift/drag ratio for the whole blade is found. This process
exploits the 3D stall delay, which is often ignored in the regular 2D BEM approach. The second
approach focuses on the shape optimization of individual cross-sections where the shape near the
trailing edge is adjusted to achieve high power output, using a goal-driven optimization toolbox
verified by 4D URANS Computational Fluid Dynamics (CFD) simulation for the whole rotor. The
results obtained from the case study indicate that (1) the 4D URANS whole rotor simulation in the
second approach generates more accurate results than the 3D RANS single blade simulation with
periodic boundary conditions; (2) the second approach of the framework can automatically produce
the blade geometry that satisfies the optimization objective, while the first approach is less desirable
as the 3D stall delay is not prominent enough to be fruitfully exploited for this particular case study
Description
Keywords
Type of access: Open Access, design optimization, toolbox, parametric modeling, wind turbine blade, 3D RANS solver, BEM, IBEM, NREL
Citation
Sagimbayev, S., Kylyshbek, Y., Batay, S., Zhao, Y., Fok, S., & Soo Lee, T. (2021). 3D Multidisciplinary Automated Design Optimization Toolbox for Wind Turbine Blades. Processes, 9(4), 581. https://doi.org/10.3390/pr9040581