Loughborough University
Browse

Boundary-layer transition model for icing simulations of rotating wind turbine blades

journal contribution
posted on 2021-03-22, 11:00 authored by Chankyu Son, Mark Kelly, Taeseong Kim
Icing simulations for wind turbine blades should consider the roughness-induced flow transition. Adding a transport equation for ‘roughness amplification’ to the Langtry-Menter model, the roughness-induced transition can be predicted for rough flat plates. However, this approach exhibits a limitation that it cannot predict the skin friction in the shadow zone of blunt bodies. Such an approach depends on the boundary condition(s) of specific dissipation rate (ω). Typically boundary conditions for turbulent kinetic energy (k) and ω have been investigated for various roughness heights, but have been applied only for fully turbulent conditions. This study introduces an approach to predict the flow transition and the skin friction for a roughened surface, whereby the Langtry-Menter model including roughness amplification is coupled with the k and ω boundary conditions. The proposed method shows good agreement with the experiments for turbulent onset and the distributions of skin friction and heat convection for a roughened flat plate and a circular cylinder. Using the turbulent models under fully turbulent and transitional assumptions, the effects of the flow transition on the ice accretion shape on a rotating wind turbine are compared. The modified turbulent model showed better performance for the icing simulations without any tuning.

Funding

European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant (EU) agreement no. 713683 (COFUNDfellowsDTU)

Korea Institute of Energy Research (C0-2453)

Danish EUDP support scheme for project IEA Task 19 (grant no. 64019-0515)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Renewable Energy

Volume

167

Pages

172 - 183

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Renewable Energy and the definitive published version is available at https://doi.org/10.1016/j.renene.2020.11.070.

Acceptance date

2020-11-14

Publication date

2020-11-17

Copyright date

2020

ISSN

0960-1481

eISSN

1879-0682

Language

  • en

Depositor

Prof Taeseong Kim. Deposit date: 22 March 2021