IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i9p1525-d109944.html
   My bibliography  Save this article

Some Results on the Vulnerability Assessment of HAWTs Subjected to Wind and Seismic Actions

Author

Listed:
  • Alberto Maria Avossa

    (Department of Civil Engineering, Design, Building and Environment, DICDEA, University of Campania “Luigi Vanvitelli”, Aversa 81031, Italy)

  • Cristoforo Demartino

    (College of Civil Engineering, Nanjing Technology University, Nanjing 211816, China)

  • Pasquale Contestabile

    (Department of Civil Engineering, Design, Building and Environment, DICDEA, University of Campania “Luigi Vanvitelli”, Aversa 81031, Italy)

  • Francesco Ricciardelli

    (Department of Civil Engineering, Design, Building and Environment, DICDEA, University of Campania “Luigi Vanvitelli”, Aversa 81031, Italy)

  • Diego Vicinanza

    (Department of Civil Engineering, Design, Building and Environment, DICDEA, University of Campania “Luigi Vanvitelli”, Aversa 81031, Italy)

Abstract

The spread of the wind energy industry has caused the construction of wind farms in areas prone to high seismic activity. Accordingly, the analysis of wind turbine loading associated with earthquakes is of crucial importance for an accurate assessment of their structural safety. Within this topic, this paper presents some preliminary results of a probabilistic framework intended to be used for the estimation of the probability of failure of Horizontal Axis Wind Turbine-supporting structures when subjected to the wind and seismic actions. In particular, the multi-hazard fragility curves of the wind turbine-supporting structure were calculated using Monte Carlo simulations. A decoupling approach consisting of aerodynamic analysis of the rigid rotor blade model and subsequent linear dynamic Finite Element analyses of the supporting structure, including aerodynamic damping, was used. The failure condition of the tower structure was estimated according to the stress design procedure proposed by EC3 for the buckling limit state assessment. Finally, the vulnerability assessment of HAWTs to wind and seismic actions was evaluated in terms of fragility curves describing the probability of failure of the supporting tower structure as a function of the Peak Ground Acceleration (PGA) for each parked and operational wind condition. In particular, the results highlight a probability of failure larger than 50% for high levels of seismic action (PGA greater than 0.7 g) combined with the rotor in parked condition (wind speed of 3 m/s) or in operational rated condition (wind speed of 11.4 m/s).

Suggested Citation

  • Alberto Maria Avossa & Cristoforo Demartino & Pasquale Contestabile & Francesco Ricciardelli & Diego Vicinanza, 2017. "Some Results on the Vulnerability Assessment of HAWTs Subjected to Wind and Seismic Actions," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1525-:d:109944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/9/1525/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/9/1525/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Dong Hyawn & Lee, Sang Geun & Lee, Il Keun, 2014. "Seismic fragility analysis of 5 MW offshore wind turbine," Renewable Energy, Elsevier, vol. 65(C), pages 250-256.
    2. Fabian Vorpahl & Holger Schwarze & Tim Fischer & Marc Seidel & Jason Jonkman, 2013. "Offshore wind turbine environment, loads, simulation, and design," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 2(5), pages 548-570, September.
    3. Asareh, Mohammad-Amin & Schonberg, William & Volz, Jeffery, 2016. "Effects of seismic and aerodynamic load interaction on structural dynamic response of multi-megawatt utility scale horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 86(C), pages 49-58.
    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. Meng, Jiayao & Dai, Kaoshan & Zhao, Zhi & Mao, Zhenxi & Camara, Alfredo & Zhang, Songhan & Mei, Zhu, 2020. "Study on the aerodynamic damping for the seismic analysis of wind turbines in operation," Renewable Energy, Elsevier, vol. 159(C), pages 1224-1242.
    2. Minh-Quang Tran & Yi-Chen Li & Chen-Yang Lan & Meng-Kun Liu, 2020. "Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region," Energies, MDPI, vol. 13(24), pages 1-16, December.
    3. Caputo, Antonio C. & Federici, Alessandro & Pelagagge, Pacifico M. & Salini, Paolo, 2023. "Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty," Applied Energy, Elsevier, vol. 350(C).

    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. Yang, Yang & Bashir, Musa & Li, Chun & Michailides, Constantine & Wang, Jin, 2020. "Mitigation of coupled wind-wave-earthquake responses of a 10 MW fixed-bottom offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 1171-1184.
    2. Chenyang Yuan & Yunfei Xie & Jing Li & Weifeng Bai & Haohao Li, 2022. "Influence of the Number of Ground Motions on Fragility Analysis of 5 MW Wind Turbines Subjected to Aerodynamic and Seismic Loads Interaction," Energies, MDPI, vol. 15(6), pages 1-18, March.
    3. Yuan, Chenyang & Chen, Jianyun & Li, Jing & Xu, Qiang, 2017. "Fragility analysis of large-scale wind turbines under the combination of seismic and aerodynamic loads," Renewable Energy, Elsevier, vol. 113(C), pages 1122-1134.
    4. Renjie Mo & Haigui Kang & Miao Li & Xuanlie Zhao, 2017. "Seismic Fragility Analysis of Monopile Offshore Wind Turbines under Different Operational Conditions," Energies, MDPI, vol. 10(7), pages 1-22, July.
    5. Mo, Renjie & Cao, Renjing & Liu, Minghou & Li, Miao, 2021. "Effect of ground motion directionality on seismic dynamic responses of monopile offshore wind turbines," Renewable Energy, Elsevier, vol. 175(C), pages 179-199.
    6. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.
    7. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    8. Yang Ni & Bin Peng & Jiayao Wang & Farshad Golnary & Wei Li, 2023. "A Short Review on the Time-Domain Numerical Simulations for Structural Responses in Horizontal-Axis Offshore Wind Turbines," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    9. Zheng, Hua-Dong & Wang, Xian-Feng & Liu, Chen-Xi & Wang, Zhen & Wu, Bin, 2022. "Nonlinear seismic performance of a large-scale vertical-axis wind turbine under wind and earthquake action," Renewable Energy, Elsevier, vol. 200(C), pages 24-36.
    10. He, Kunpeng & Ye, Jianhong, 2023. "Seismic dynamics of offshore wind turbine-seabed foundation: Insights from a numerical study," Renewable Energy, Elsevier, vol. 205(C), pages 200-221.
    11. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel time-variant prediction model for megawatt flexible wind turbines and its application in NTM and ECD conditions," Renewable Energy, Elsevier, vol. 196(C), pages 1158-1169.
    12. Cong, Shuai & James Hu, Sau-Lon & Li, Hua-Jun, 2022. "Using incomplete complex modes for model updating of monopiled offshore wind turbines," Renewable Energy, Elsevier, vol. 181(C), pages 522-534.
    13. Wei, K. & Arwade, S.R. & Myers, A.T. & Hallowell, S. & Hajjar, J.F. & Hines, E.M. & Pang, W., 2016. "Toward performance-based evaluation for offshore wind turbine jacket support structures," Renewable Energy, Elsevier, vol. 97(C), pages 709-721.
    14. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    15. Wang, Yize & Liu, Zhenqing & Wang, Hao, 2022. "Proposal and layout optimization of a wind-wave hybrid energy system using GPU-accelerated differential evolution algorithm," Energy, Elsevier, vol. 239(PA).
    16. Georgios Malliotakis & Panagiotis Alevras & Charalampos Baniotopoulos, 2021. "Recent Advances in Vibration Control Methods for Wind Turbine Towers," Energies, MDPI, vol. 14(22), pages 1-37, November.
    17. Abel Arredondo-Galeana & Feargal Brennan, 2021. "Floating Offshore Vertical Axis Wind Turbines: Opportunities, Challenges and Way Forward," Energies, MDPI, vol. 14(23), pages 1-24, November.
    18. De Tian & Jing Xia & Xiaoya Liu & Jingjing Hao & Yan Li & Peng Li, 2023. "Environmental Condition Boundary Design for Direct-Drive Permanent Magnet (DDPM) Wind Generators by Using Extreme Joint Probability Distribution," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    19. He, Kunpeng & Ye, Jianhong, 2023. "Dynamics of offshore wind turbine-seabed foundation under hydrodynamic and aerodynamic loads: A coupled numerical way," Renewable Energy, Elsevier, vol. 202(C), pages 453-469.
    20. Ziegler, Lisa & Voormeeren, Sven & Schafhirt, Sebastian & Muskulus, Michael, 2016. "Design clustering of offshore wind turbines using probabilistic fatigue load estimation," Renewable Energy, Elsevier, vol. 91(C), pages 425-433.

    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:jsusta:v:9:y:2017:i:9:p:1525-:d:109944. 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.