Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization

  • Marco Mangano
  • , Sicheng He
  • , Yingqian Liao
  • , Denis-Gabriel Caprace
  • , Andrew Ning
  • , Joaquim Martins

Research output: Contribution to journalArticlepeer-review

Abstract

Large wind turbines yield more energy but demand careful aeroelastic blade design. Coupled multiphysics design strategies can reduce wind energy costs by exploiting fluid-structure interactions. This work presents the first high-fidelity aerostructural optimization study of a large wind turbine rotor. We use blade-resolved fluid dynamics and structural solvers in a monolithic gradient-based optimization framework to explore steady-state torque and blade mass tradeoffs. The coupled-adjoint approach computes gradients efficiently, enabling the optimization of over 100 structural and geometric parameters simultaneously. Our optimization study modifies a DTU 10 MW benchmark with a simplified structure and isotropic material properties. The tightly coupled optimizations increase torque by 14% while reducing rotor mass by 9% or reduce blade mass by 27% while maintaining torque. Blade-resolved models provide greater design freedom, enabling 5% higher mass reductions than conventional parameterizations at equal torque. This framework paves the way for more detailed high-fidelity optimization studies to complement conventional design approaches.
Original languageAmerican English
Pages (from-to)3493-3513
Number of pages21
JournalAIAA Journal
Volume63
Issue number9
DOIs
StatePublished - 2025

NLR Publication Number

  • NREL/JA-5000-97301

Keywords

  • aerodynamic performance
  • aerostructural design optimization
  • blade element momentum theory
  • computational fluid dynamics
  • computational structural mechanics
  • gradient-based design optimization
  • multidisciplinary design optimization
  • shape optimization
  • structural modeling and simulation
  • wind energy systems

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