Wind turbine design optimization under environmental uncertainty

Marco Caboni, M. Sergio Campobasso, Edmondo Minisci

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Wind turbine design optimization is typically performed considering a given wind distribution. However, turbines so designed often end up being used at sites characterized by different wind distributions, and this results in significant performance penalties. This paper presents a probabilistic integrated multidisciplinary approach to the design optimization of multimegawatt wind turbines accounting for the stochastic variability of the mean wind speed. The presented technology is applied to the design of a 5 MW rotor to be used at sites of wind power class from 3 to 7, where the mean wind speed at 50 m above the ground ranges from 6.4 to 11.9 m/s. Assuming the mean wind speed to vary stochastically in such range, the rotor design is optimized by minimizing mean and standard deviation of the levelized cost of energy. Airfoil shapes, spanwise distributions of blade chord and twist, internal structural layup and rotor speed are optimized concurrently, subject to structural and aeroelastic constraints. The probabilistically designed turbine achieves a more favorable probabilistic performance than the initial baseline turbine. The presented probabilistic design framework is portable and modular in that any of its analysis modules can be replaced with counterparts of user-selected fidelity.

Original languageEnglish
Title of host publicationProceedings of the ASME Turbo Expo 2015
Volume9
DOIs
Publication statusPublished - 15 Jun 2015
EventASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015 - Montreal, Canada
Duration: 15 Jun 201519 Jun 2015

Conference

ConferenceASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015
CountryCanada
CityMontreal
Period15/06/1519/06/15

Keywords

  • wind energy
  • renewable energy
  • uncertainies
  • robust design optimisation

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