Combined blade-element momentum-lifting line model for variable loads on downwind turbine towers

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Downwind rotors are a promising concept for multi-megawatt scale large wind turbines due to their advantages in safety and cost reduction. However, they have risks from impulsive loads when one of the blades passes across the tower wake, where the wind speed is lower and locally turbulent. Although the tower shadow effects on the tower loads have been discussed in former studies, there is currently no appropriate model for the blade-element and momentum theory so far. This study formulates the tower shadow effects on the tower load variation induced by blades using the lifting line theory, which does not require any empirical parameters. The method is verified via computational fluid dynamics for a 2 MW(megawatt), 3-bladed downwind turbine. The amplitude and the phase of the variation are shown to be accurate in outboard sections, where the rotor-tower clearance is large (>3.0 times of the tower diameter) and the ratio of the blade chord length is small (<0.5 times of the tower diameter), in both of rated and cut-out conditions.

Original languageEnglish
Article number2521
JournalEnergies
Volume11
Issue number10
DOIs
Publication statusPublished - Oct 1 2018

Fingerprint

Turbine
Blade
Towers
Momentum
Turbines
Line
Rotor
Wind Turbine
Wind Speed
Clearance
Wake
Chord or secant line
Computational Fluid Dynamics
Model
Rotors
Safety
Costs
Cost reduction
Wind turbines
Computational fluid dynamics

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Combined blade-element momentum-lifting line model for variable loads on downwind turbine towers. / Yoshida, Shigeo.

In: Energies, Vol. 11, No. 10, 2521, 01.10.2018.

Research output: Contribution to journalArticle

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