Wind Turbine Rotor Design Optimization Using Importance Sampling: Preprint

Research output: Contribution to conferencePaper


Probabilistic methods are commonly adopted to estimate both ultimate and fatigue loads in wind turbines, and multiple papers have presented a variety of approaches. In contrast, system-level, integrated design optimization methods for wind turbines have so far relied on deterministic methods to estimate loads and deflections. This work aims at addressing this gap by adopting importance sampling to estimate ultimate blade deflection for use within a rotor design optimization. A comparison between the results of this approach against traditional approaches using deterministic load evaluations show that the probabilistic approach is more conservative and that the solutions found with deterministic approaches violate the probabilistic constraint on tip deflection between 13% and 17%. This highlights the importance of accurate load and deflection estimates and demonstrates that probabilistic approaches can be successfully integrated within a wind turbine design process despite the higher computational costs.
Original languageAmerican English
Number of pages14
StatePublished - 2020
EventAIAA SciTech Forum and Exposition - Orlando, Florida
Duration: 6 Jan 202010 Jan 2020


ConferenceAIAA SciTech Forum and Exposition
CityOrlando, Florida

NREL Publication Number

  • NREL/CP-2C00-75555


  • importance sampling
  • wind turbine optimization


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