Development of an AD/RANS model for predicting wind turbine wakes

Linlin Tian, Wei Jun Zhu, Wen Zhong Shen, Jens Nørkær Sørensen, Ning Zhao

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


The wake flow behind a single wind turbine is studied in this paper using the standard k-ω SST turbulence model with three different modifications: (1) adding sustain terms to maintain ambient turbulence level; (2) modi-fying the coefficients of the turbulence model; (3) combining the first two methods together. The simulations are performed by using the in-house flow solver EllipSys3D coupled with the actuator disc (AD) methodology. The main objective of the proposed model is to control the turbulence decay caused by the intrinsic property of the two-equation turbu-lence model and further increasing the pre-dicted turbulence intensity through correct-ing the destruction terms. To validate the proposed method, comparisons are carried out between measurements and other nu-merical simulations for the Nibe B wind tur-bine. Results show that the newly developed model can provide satisfactory predictions for the wind speed deficit and the turbulence intensity.

Original languageEnglish
Title of host publicationConference proceedings - EWEA Offshore 2013
Number of pages9
PublisherEuropean Wind Energy Association (EWEA)
Publication date2013
Publication statusPublished - 2013
EventEWEA Offshore 2013 - Frankfurt, Germany
Duration: 19 Nov 201321 Nov 2013


ConferenceEWEA Offshore 2013
Internet address


  • Design loads
  • Spherical joint
  • Semi floating platform
  • Mooring system

Cite this

Tian, L., Zhu, W. J., Shen, W. Z., Sørensen, J. N., & Zhao, N. (2013). Development of an AD/RANS model for predicting wind turbine wakes. In Conference proceedings - EWEA Offshore 2013 European Wind Energy Association (EWEA).