IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1895-d159040.html
   My bibliography  Save this article

Load Estimation of Offshore Wind Turbines

Author

Listed:
  • Sang Lee

    (Department of Mechanical Engineering, University of New Mexico, Albuquerque, NM 87131, USA)

  • Matthew Churchfield

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Frederick Driscoll

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Senu Sirnivas

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Jason Jonkman

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Patrick Moriarty

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Bjόrn Skaare

    (Statoil, 4035 Stavanger, Norway)

  • Finn Gunnar Nielsen

    (Geophysical Institute, University of Bergen, 7803 Bergen, Norway)

  • Erik Byklum

    (Statoil, 4035 Stavanger, Norway)

Abstract

The influence of 3 MW Hywind-II wind turbine wakes from an upstream offshore floating wind turbine on a downstream turbine with a separation distance of seven rotor diameters was studied for a site in the Gulf of Maine. The turbines and the platforms were subjected to atmospheric boundary layer flows. Various sensitivity studies on fatigue loads with respect to the positions of the downstream turbine were performed and validated with a large-eddy simulation tool. In particular, the effect of various lateral positions of the downstream turbine relative to the upstream turbine were considered using time-series turbine wake data generated from the large-eddy simulation tool which served as an input to an aero-elastic wind turbine model to assess the loads. The load response from the rotor, tower, and the floating platform for the downstream turbine were sensitive to the lateral offset positions where turbines that were partially exposed to upstream turbine wakes yielded significant increases in the cyclic load range. For the given set of lateral positions for the downstream turbine, the largest damage equivalent load occurred when the turbine was one rotor diameter to the left of the centerline, when looking upstream, which is the position of the turbine fully exposed to upstream turbine wake. On the other hand, the fatigue load on the downstream turbine placed on the right side of the position fully exposed to the upstream turbine wake, yielded lower stress due to the non-symmetric shape of the turbine wake. The configuration associated with the largest damage equivalent loads was further investigated in a large-eddy simulation, modeling both the upstream and downstream turbines. It was found that the energy spectra at the blade rotational frequency were a magnitude order higher for the downstream turbine, especially for surge, heave, pitch, and yaw motion of the platform. The increase of the damage equivalent load for the flapwise blade root moment was 45% compared to the upstream turbine, which can potentially reduce the turbine service life time.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1895-:d:159040
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1895/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1895/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Thomas Sebastian & Matthew Lackner, 2012. "Analysis of the Induction and Wake Evolution of an Offshore Floating Wind Turbine," Energies, MDPI, vol. 5(4), pages 1-33, April.
    3. Jeon, Minu & Lee, Seungmin & Lee, Soogab, 2014. "Unsteady aerodynamics of offshore floating wind turbines in platform pitching motion using vortex lattice method," Renewable Energy, Elsevier, vol. 65(C), pages 207-212.
    4. Baba-Ahmadi, Mohammad H. & Dong, Ping, 2017. "Validation of the actuator line method for simulating flow through a horizontal axis tidal stream turbine by comparison with measurements," Renewable Energy, Elsevier, vol. 113(C), pages 420-427.
    5. Fleming, Paul A. & Gebraad, Pieter M.O. & Lee, Sang & van Wingerden, Jan-Willem & Johnson, Kathryn & Churchfield, Matt & Michalakes, John & Spalart, Philippe & Moriarty, Patrick, 2014. "Evaluating techniques for redirecting turbine wakes using SOWFA," Renewable Energy, Elsevier, vol. 70(C), pages 211-218.
    6. Søren Christiansen & Thomas Bak & Torben Knudsen, 2013. "Damping Wind and Wave Loads on a Floating Wind Turbine," Energies, MDPI, vol. 6(8), pages 1-20, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    2. Duan, Lei & Sun, Qinghong & He, Zanyang & Li, Gen, 2022. "Wake topology and energy recovery in floating horizontal-axis wind turbines with harmonic surge motion," Energy, Elsevier, vol. 260(C).
    3. 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.
    4. Johlas, Hannah M. & Schmidt, David P. & Lackner, Matthew A., 2022. "Large eddy simulations of curled wakes from tilted wind turbines," Renewable Energy, Elsevier, vol. 188(C), pages 349-360.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arabgolarcheh, Alireza & Rouhollahi, Amirhossein & Benini, Ernesto, 2023. "Analysis of middle-to-far wake behind floating offshore wind turbines in the presence of multiple platform motions," Renewable Energy, Elsevier, vol. 208(C), pages 546-560.
    2. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    3. Rezaeiha, Abdolrahim & Micallef, Daniel, 2021. "Wake interactions of two tandem floating offshore wind turbines: CFD analysis using actuator disc model," Renewable Energy, Elsevier, vol. 179(C), pages 859-876.
    4. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2020. "Numerical study of the coupling between the instantaneous blade loading/power of an axial wind turbine and upstream turbulence at high Reynolds numbers," Energy, Elsevier, vol. 207(C).
    5. Salehyar, Sara & Zhu, Qiang, 2015. "Aerodynamic dissipation effects on the rotating blades of floating wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 119-127.
    6. Fang, Yuan & Duan, Lei & Han, Zhaolong & Zhao, Yongsheng & Yang, He, 2020. "Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion," Energy, Elsevier, vol. 192(C).
    7. 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.
    8. Dong, Jing & Viré, Axelle & Li, Zhangrui, 2022. "Analysis the vortex ring state and propeller state of floating offshore wind turbines and verification of their prediction criteria by comparing with a CFD model," Renewable Energy, Elsevier, vol. 184(C), pages 15-25.
    9. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming, 2017. "Influences of surge motion on the power and thrust characteristics of an offshore floating wind turbine," Energy, Elsevier, vol. 141(C), pages 2054-2068.
    10. Wen, Binrong & Dong, Xingjian & Tian, Xinliang & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2018. "The power performance of an offshore floating wind turbine in platform pitching motion," Energy, Elsevier, vol. 154(C), pages 508-521.
    11. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    12. Thanhtoan Tran & Donghyun Kim & Jinseop Song, 2014. "Computational Fluid Dynamic Analysis of a Floating Offshore Wind Turbine Experiencing Platform Pitching Motion," Energies, MDPI, vol. 7(8), pages 1-16, August.
    13. Wang, Qiang & Luo, Kun & Yuan, Renyu & Wang, Shuai & Fan, Jianren & Cen, Kefa, 2020. "A multiscale numerical framework coupled with control strategies for simulating a wind farm in complex terrain," Energy, Elsevier, vol. 203(C).
    14. Duan, Lei & Sun, Qinghong & He, Zanyang & Li, Gen, 2022. "Wake topology and energy recovery in floating horizontal-axis wind turbines with harmonic surge motion," Energy, Elsevier, vol. 260(C).
    15. Lee, Hakjin & Lee, Duck-Joo, 2019. "Effects of platform motions on aerodynamic performance and unsteady wake evolution of a floating offshore wind turbine," Renewable Energy, Elsevier, vol. 143(C), pages 9-23.
    16. Wen, Binrong & Tian, Xinliang & Zhang, Qi & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "Wind shear effect induced by the platform pitch motion of a spar-type floating wind turbine," Renewable Energy, Elsevier, vol. 135(C), pages 1186-1199.
    17. Dong, Jing & Viré, Axelle, 2022. "The aerodynamics of floating offshore wind turbines in different working states during surge motion," Renewable Energy, Elsevier, vol. 195(C), pages 1125-1136.
    18. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2021. "On wind turbine power fluctuations induced by large-scale motions," Applied Energy, Elsevier, vol. 293(C).
    19. De-Zhi Wei & Ni-Na Wang & De-Cheng Wan, 2021. "Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model," Energies, MDPI, vol. 14(15), pages 1-26, July.
    20. Carl R. Shapiro & Genevieve M. Starke & Charles Meneveau & Dennice F. Gayme, 2019. "A Wake Modeling Paradigm for Wind Farm Design and Control," Energies, MDPI, vol. 12(15), pages 1-19, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1895-:d:159040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.