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

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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
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    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).

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