Comparison of Three DWM-Based Wake Models at Above-Rated Wind Speeds

O. Hanssen-Bauer, Paula Doubrawa, H. Madsen, H. Asmuth, Jason Jonkman, G. Larsen, S. Ivanell, R. Stenbro

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

In this study we investigate three mid-fidelity wind turbine wake models based on the dynamic wake meandering (DWM) model principle, and compare their performance with a reference dataset, produced with large-eddy simulations using the actuator line model. The models are compared with respect to flow field, power, and loads on a row of four 5MW reference turbines experiencing above-rated wind conditions. In general, the DWM models show fairly good agreement with large-eddy simulation for the time-averaged flow fields, blade forces and power, with increasing differences along the turbine row. Also when comparing fatigue loads of blade root moments, the differences between the models increase further into the row, with deviations up to 25 % of the reference case. However, while the development in blade root moment fatigue along the turbine row is predominantly driven by the energy content at the frequency corresponding to the turbine's rotational period (1P) for the DWM models, the large-eddy simulation results suggest that the key drivers for the blade root and tower loads are the increase in meandering and energy at higher frequencies (> 1P) deeper into the turbine row. For the tower loads, the DWM models highly underestimate the fatigue for the waked turbines. From these results, we suggest priorities for future model developments so that robust model implementations can be used in wind farm design and operation.

Original languageAmerican English
Article numberArticle No. 012054
Number of pages13
JournalJournal of Physics: Conference Series
Volume2505
Issue number1
DOIs
StatePublished - 2023
Event8th Wake Conference 2023 - Visby, Sweden
Duration: 20 Jun 202322 Jun 2023

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

NREL Publication Number

  • NREL/JA-5000-85846

Keywords

  • 5-MW baseline wind turbine
  • above-rated wind speed
  • dynamic wake meandering
  • FAST.Farm
  • large eddy simulation
  • validation
  • verification

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