Wind turbine design optimization under environmental uncertainty

Caboni, M., Campobasso, M.S. and Minisci, E. (2015) Wind turbine design optimization under environmental uncertainty. In: ASME Turbo Expo: Turbine Technical Conference and Exposition, Montreal, Canada, 15-19 Jun 2015, ISBN 9780791856802 (doi: 10.1115/1.4032665)

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 multi-megawatt 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.

• Item Type: Conference Proceedings
• Additional Information: Published in the Journal of Engineering for Gas Turvines and Power 138(8):082601
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Campobasso, Dr Michele
• Authors: Caboni, M., Campobasso, M.S., and Minisci, E.
• College/School: College of Science and Engineering > School of Engineering
• ISBN: 9780791856802