IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v179y2021icp842-858.html
   My bibliography  Save this article

Performance analysis of monopile-supported wind turbines subjected to wind and operation loads

Author

Listed:
  • Xiao, Shaohui
  • Lin, Kun
  • Liu, Hongjun
  • Zhou, Annan

Abstract

This paper presents an experimental study on the effects of joint wind and operating loads (JWOLs) on the long-term performance of monopole-supported wind turbines (MWTs) standing on soils. In this paper, a novel loading method that can apply ambient excitation without constraints and generate random fluctuating loads around a non-zero mean is proposed to simulate JWOLs. The method was realized using a wind tunnel. A series of wind tunnel tests with different JWOLs were designed and performed on a 1:100 MWT model of the NREL 5 MW wind turbine. The effects of the average load in the fore-to-aft (F–A) direction and the fluctuating loads in the F–A and side-to-side (S–S) directions on the long-term performance of MWTs (including the variations in the natural frequency, damping ratio, and the accumulated deformation) were studied. The test results show that the variation in the natural frequency is marginal (within −2.1% to 3.6%), whereas that in the damping ratio is within −63.9% to 38.4%. The accumulated deformation curve under different conditions can be represented using a power function. The long-term performance problems (the frequency shift and the accumulated deformation) of MWTs observed under simple harmonic loads may be high to an extent compared with those observed under certain JWOLs.

Suggested Citation

  • Xiao, Shaohui & Lin, Kun & Liu, Hongjun & Zhou, Annan, 2021. "Performance analysis of monopile-supported wind turbines subjected to wind and operation loads," Renewable Energy, Elsevier, vol. 179(C), pages 842-858.
  • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:842-858
    DOI: 10.1016/j.renene.2021.07.055
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121010600
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2021.07.055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cho, Taehwan & Kim, Cheolwan, 2014. "Wind tunnel test for the NREL phase VI rotor with 2 m diameter," Renewable Energy, Elsevier, vol. 65(C), pages 265-274.
    2. Rezaei, Ramtin & Fromme, Paul & Duffour, Philippe, 2018. "Fatigue life sensitivity of monopile-supported offshore wind turbines to damping," Renewable Energy, Elsevier, vol. 123(C), pages 450-459.
    3. Bahaj, A.S & Myers, L.E, 2003. "Fundamentals applicable to the utilisation of marine current turbines for energy production," Renewable Energy, Elsevier, vol. 28(14), pages 2205-2211.
    4. Nachtane, M. & Tarfaoui, M. & Goda, I. & Rouway, M., 2020. "A review on the technologies, design considerations and numerical models of tidal current turbines," Renewable Energy, Elsevier, vol. 157(C), pages 1274-1288.
    5. Oh, Ki-Yong & Nam, Woochul & Ryu, Moo Sung & Kim, Ji-Young & Epureanu, Bogdan I., 2018. "A review of foundations of offshore wind energy convertors: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 16-36.
    6. Wu, Xiaoni & Hu, Yu & Li, Ye & Yang, Jian & Duan, Lei & Wang, Tongguang & Adcock, Thomas & Jiang, Zhiyu & Gao, Zhen & Lin, Zhiliang & Borthwick, Alistair & Liao, Shijun, 2019. "Foundations of offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 379-393.
    7. Gaudiosi, Gaetano, 1996. "Offshore wind energy in the world context," Renewable Energy, Elsevier, vol. 9(1), pages 899-904.
    8. Lin, Kun & Xiao, Shaohui & Zhou, Annan & Liu, Hongjun, 2020. "Experimental study on long-term performance of monopile-supported wind turbines (MWTs) in sand by using wind tunnel," Renewable Energy, Elsevier, vol. 159(C), pages 1199-1214.
    9. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Bejarano, María D. & Garrote, Luis, 2021. "Ecological impacts of run-of-river hydropower plants—Current status and future prospects on the brink of energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    10. Buckley, Tadhg & Watson, Phoebe & Cahill, Paul & Jaksic, Vesna & Pakrashi, Vikram, 2018. "Mitigating the structural vibrations of wind turbines using tuned liquid column damper considering soil-structure interaction," Renewable Energy, Elsevier, vol. 120(C), pages 322-341.
    11. Palacios, A. & Barreneche, C. & Navarro, M.E. & Ding, Y., 2020. "Thermal energy storage technologies for concentrated solar power – A review from a materials perspective," Renewable Energy, Elsevier, vol. 156(C), pages 1244-1265.
    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. Yang, Siyao & Lin, Kun & Zhou, Annan, 2024. "An ML-based wind turbine blade design method considering multi-objective aerodynamic similarity and its experimental validation," Renewable Energy, Elsevier, vol. 220(C).
    2. Charlton, T.S. & Rouainia, M., 2022. "Geotechnical fragility analysis of monopile foundations for offshore wind turbines in extreme storms," Renewable Energy, Elsevier, vol. 182(C), pages 1126-1140.

    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. Yar, Adem & Kınas, Zeynep & Karabiber, Abdulkerim & Ozen, Abdurrahman & Okbaz, Abdulkerim & Ozel, Faruk, 2021. "Enhanced performance of triboelectric nanogenerator based on polyamide-silver antimony sulfide nanofibers for energy harvesting," Renewable Energy, Elsevier, vol. 179(C), pages 1781-1792.
    2. Majidi Nezhad, Meysam & Neshat, Mehdi & Piras, Giuseppe & Astiaso Garcia, Davide, 2022. "Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Xiaobin Qu & Yingxue Yao & Jianjun Du, 2021. "Conceptual Design and Hydrodynamic Performance of a Modular Hybrid Floating Foundation," Energies, MDPI, vol. 14(22), pages 1-17, November.
    4. Lin, Kun & Xiao, Shaohui & Zhou, Annan & Liu, Hongjun, 2020. "Experimental study on long-term performance of monopile-supported wind turbines (MWTs) in sand by using wind tunnel," Renewable Energy, Elsevier, vol. 159(C), pages 1199-1214.
    5. 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).
    6. Guo, Yaohua & Zhang, Puyang & Ding, Hongyan & Le, Conghuan, 2021. "Design and verification of the loading system and boundary conditions for wind turbine foundation model experiment," Renewable Energy, Elsevier, vol. 172(C), pages 16-33.
    7. Apostolos Tsouvalas, 2020. "Underwater Noise Emission Due to Offshore Pile Installation: A Review," Energies, MDPI, vol. 13(12), pages 1-41, June.
    8. Roggenburg, Michael & Esquivel-Puentes, Helber A. & Vacca, Andrea & Bocanegra Evans, Humberto & Garcia-Bravo, Jose M. & Warsinger, David M. & Ivantysynova, Monika & Castillo, Luciano, 2020. "Techno-economic analysis of a hydraulic transmission for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 153(C), pages 1194-1204.
    9. Jian Zhang & Guo-Kai Yuan & Songye Zhu & Quan Gu & Shitang Ke & Jinghua Lin, 2022. "Seismic Analysis of 10 MW Offshore Wind Turbine with Large-Diameter Monopile in Consideration of Seabed Liquefaction," Energies, MDPI, vol. 15(7), pages 1-31, March.
    10. Migo-Sumagang, Maria Victoria & Tan, Raymond R. & Aviso, Kathleen B., 2023. "A multi-period model for optimizing negative emission technology portfolios with economic and carbon value discount rates," Energy, Elsevier, vol. 275(C).
    11. Agnieszka Operacz, 2021. "Possibility of Hydropower Development: A Simple-to-Use Index," Energies, MDPI, vol. 14(10), pages 1-19, May.
    12. Yuan, Peng & Pu, Yuran & Liu, Chang, 2021. "Improving electricity supply reliability in China: Cost and incentive regulation," Energy, Elsevier, vol. 237(C).
    13. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    14. Abutunis, A. & Taylor, G. & Fal, M. & Chandrashekhara, K., 2020. "Experimental evaluation of coaxial horizontal axis hydrokinetic composite turbine system," Renewable Energy, Elsevier, vol. 157(C), pages 232-245.
    15. Dylan Sheneth Edirisinghe & Ho-Seong Yang & Min-Sung Kim & Byung-Ha Kim & Sudath Prasanna Gunawardane & Young-Ho Lee, 2021. "Computational Flow Analysis on a Real Scale Run-of-River Archimedes Screw Turbine with a High Incline Angle," Energies, MDPI, vol. 14(11), pages 1-18, June.
    16. Nam, Woochul & Oh, Ki-Yong & Epureanu, Bogdan I., 2019. "Evolution of the dynamic response and its effects on the serviceability of offshore wind turbines with stochastic loads and soil degradation," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 151-163.
    17. Yao, Yao & Shen, Zhicheng & Wang, Qiliang & Du, Jiyun & Lu, Lin & Yang, Hongxing, 2023. "Development of an inline bidirectional micro crossflow turbine for hydropower harvesting from water supply pipelines," Applied Energy, Elsevier, vol. 329(C).
    18. Abbas, Nikhar J. & Jasa, John & Zalkind, Daniel S. & Wright, Alan & Pao, Lucy, 2024. "Control co-design of a floating offshore wind turbine," Applied Energy, Elsevier, vol. 353(PB).
    19. Meng, Debiao & Yang, Shiyuan & Jesus, Abílio M.P. de & Zhu, Shun-Peng, 2023. "A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower," Renewable Energy, Elsevier, vol. 203(C), pages 407-420.
    20. Huo, Zhihong & Xu, Chang, 2022. "Distributed cooperative automatic generation control and multi-event triggered mechanisms co-design for networked wind-integrated power systems," Renewable Energy, Elsevier, vol. 193(C), pages 41-56.

    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:eee:renene:v:179:y:2021:i:c:p:842-858. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.