OC6 Project Phase III: Validation of the Aerodynamic Loading on a Wind Turbine Rotor Undergoing Large Motion Caused by a Floating Support Structure

Roger Bergua, Amy Robertson, Jason Jonkman, Emmanuel Branlard, Alessandro Fontanella, Marco Belloli, Paolo Schito, Alberto Zasso, Giacomo Persico, Andrea Sanvito, Ervin Amet, Cedric Brun, Guillen Campana-Alonso, Raquel Martin-San-Roman, Ruolin Cai, Jifeng Cai, Quan Qian, Wen Maoshi, Alec Beardsell, Georg PirrungNestor Ramos-Garcia, Wei Shi, Jie Fu, Remi Corniglion, Anais Lovera, Josean Galvan, Tor Nygaard, Carlos dos Santos, Philippe Gilbert, Pierre-Antoine Joulin, Frederic Blondel, Eelco Frickel, Peng Chen, Zhiqiang Hu, Ronan Boisard, Kutay Yilmazlar, Alessandro Croce, Violette Harnois, Lijun Zhang, Ye Li, Ander Aristondo, Inigo Alonso, Simone Mancini, Koen Boorsma, Feike Savenije, David Marten, Rodrigo Soto-Valle, Christian Schulz, Stefan Netzband, Alessandro Bianchini, Francesco Papi, Stefano Cioni, Pau Trubat, Daniel Alarcon, Climent Molins, Marion Cormier, Konstantin Bruker, Thorsten Lutz, Qing Xiao, Zhongsheng Deng, Florence Haudin, Akhilesh Goveas

Research output: Contribution to journalArticlepeer-review

24 Scopus Citations

Abstract

Microscale flow descriptions are often given in terms of mean quantities, turbulent kinetic energy, and/or stresses. Those metrics, while valuable, give limited information about turbulent eddies and coherent turbulent structures. This work investigates the structure of an atmospheric boundary layer using coherence and correlation in space and time with a range of separation distances. We calculate spatial correlations over entire planes of velocity fluctuations, from which we can evaluate the correlation along different directions at different spacings. Similarly, coherence of the three velocity components over separations in the three directions is also investigated. We apply these analyses to a mesoscale-microscale coupled scenario with time-varying conditions and examine nuances in spatial correlations that are often overlooked. Through these analyses and results, this work highlights important differences observed in terms of coherence when comparing large-eddy simulation data to simpler models and suggests ways to improve these simpler models. We note that such differences are important for disciplines like wind energy structural dynamic analysis, in which blade loading and fatigue depend strongly on the structure of the turbulence. We emphasize the additional wealth of data that can be provided by typical atmospheric boundary layer large-eddy simulation when correlation and coherence analysis is included, and we also state the limitations of large-eddy simulation data, which inherently truncate the smaller scales of turbulence.
Original languageAmerican English
Pages (from-to)465-485
Number of pages21
JournalWind Energy Science
Volume8
Issue number4
DOIs
StatePublished - 2023

Bibliographical note

See NREL/JA-5000-83941 for article as published in Wind Energy Science Discussions

NREL Publication Number

  • NREL/JA-5000-86250

Keywords

  • aerodynamics
  • dynamic inflow
  • floating wind turbines
  • IEA Wind Task 30
  • OC6
  • UNAFLOW

Fingerprint

Dive into the research topics of 'OC6 Project Phase III: Validation of the Aerodynamic Loading on a Wind Turbine Rotor Undergoing Large Motion Caused by a Floating Support Structure'. Together they form a unique fingerprint.

Cite this