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Benefits of individual pitch control on offshore wind turbine submerged in upstream wake

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  • Kang, Yujoo
  • Kim, Hyebin
  • Lee, Sang

Abstract

The present study investigates the benefits of an individual pitch control (IPC) strategy on a DTU 10MW with a floating platform subjected to an upstream wind turbine wake. The wind turbine wakes are generated via large eddy simulation, with which the dynamic response of the downstream wind turbines are calculated using OpenFAST with IPC engaged. Three wind speeds and six arrangements with varying longitudinal and lateral offsets of wind turbine pairs are investigated. Findings show that the large spatial variance of the wind velocity in the rotor-swept area leads to a higher fatigue load of out-of-plane blade-root moment (MOoP). The IPC is effective in suppressing the 1P peak of the power spectral density of MOoP, as well as the yaw fluctuation of the platform motion, which saw a maximum 20% reduction in the damage equivalent load of MOoP and up to 74% reduction in the platform yaw fluctuation in the staggered wind turbine layout.

Suggested Citation

  • Kang, Yujoo & Kim, Hyebin & Lee, Sang, 2023. "Benefits of individual pitch control on offshore wind turbine submerged in upstream wake," Renewable Energy, Elsevier, vol. 217(C).
  • Handle: RePEc:eee:renene:v:217:y:2023:i:c:s0960148123010418
    DOI: 10.1016/j.renene.2023.119127
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    References listed on IDEAS

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    1. Stevens, Richard J.A.M. & Martínez-Tossas, Luis A. & Meneveau, Charles, 2018. "Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments," Renewable Energy, Elsevier, vol. 116(PA), pages 470-478.
    2. Kim, Soo-Hyun & Shin, Hyung-Ki & Joo, Young-Chul & Kim, Keon-Hoon, 2015. "A study of the wake effects on the wind characteristics and fatigue loads for the turbines in a wind farm," Renewable Energy, Elsevier, vol. 74(C), pages 536-543.
    3. Bottasso, C.L. & Croce, A. & Riboldi, C.E.D. & Nam, Y., 2013. "Multi-layer control architecture for the reduction of deterministic and non-deterministic loads on wind turbines," Renewable Energy, Elsevier, vol. 51(C), pages 159-169.
    4. Mou Lin & Fernando Porté-Agel, 2019. "Large-Eddy Simulation of Yawed Wind-Turbine Wakes: Comparisons with Wind Tunnel Measurements and Analytical Wake Models," Energies, MDPI, vol. 12(23), pages 1-18, November.
    5. Sang Lee & Matthew Churchfield & Frederick Driscoll & Senu Sirnivas & Jason Jonkman & Patrick Moriarty & Bjόrn Skaare & Finn Gunnar Nielsen & Erik Byklum, 2018. "Load Estimation of Offshore Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-15, July.
    6. Meng, Hang & Lien, Fue-Sang & Li, Li, 2018. "Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 423-437.
    7. Frederik, Joeri A. & van Wingerden, Jan-Willem, 2022. "On the load impact of dynamic wind farm wake mixing strategies," Renewable Energy, Elsevier, vol. 194(C), pages 582-595.
    8. Petrović, Vlaho & Bottasso, Carlo L., 2017. "Wind turbine envelope protection control over the full wind speed range," Renewable Energy, Elsevier, vol. 111(C), pages 836-848.
    9. Li, Jianshen & Wang, Shuangxin, 2021. "Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults," Renewable Energy, Elsevier, vol. 174(C), pages 293-304.
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