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Dynamic Study of a Rooftop Vertical Axis Wind Turbine Tower Based on an Automated Vibration Data Processing Algorithm

Author

Listed:
  • Ying Wang

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)

  • Wensheng Lu

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)

  • Kaoshan Dai

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
    Department of Civil Engineering, Sichuan University, Chengdu 610065, China)

  • Miaomiao Yuan

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China)

  • Shen-En Chen

    (Department of Civil & Environmental Engineering, University of North Carolina, Charlotte, NC 28223, USA)

Abstract

When constructed on tall building rooftops, the vertical axis wind turbine (VAWT) has the potential of power generation in highly urbanized areas. In this paper, the ambient dynamic responses of a rooftop VAWT were investigated. The dynamic analysis was based on ambient measurements of the structural vibration of the VAWT (including the supporting structure), which resides on the top of a 24-story building. To help process the ambient vibration data, an automated algorithm based on stochastic subspace identification (SSI) with a fast clustering procedure was developed. The algorithm was applied to the vibration data for mode identification, and the results indicate interesting modal responses that may be affected by the building vibration, which have significant implications for the condition monitoring strategy for the VAWT. The environmental effects on the ambient vibration data were also investigated. It was found that the blade rotation speed contributes the most to the vibration responses.

Suggested Citation

  • Ying Wang & Wensheng Lu & Kaoshan Dai & Miaomiao Yuan & Shen-En Chen, 2018. "Dynamic Study of a Rooftop Vertical Axis Wind Turbine Tower Based on an Automated Vibration Data Processing Algorithm," Energies, MDPI, vol. 11(11), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3135-:d:182412
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    References listed on IDEAS

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    1. Najafi, Nadia & Paulsen, Uwe Schmidt, 2017. "Operational modal analysis on a VAWT in a large wind tunnel using stereo vision technique," Energy, Elsevier, vol. 125(C), pages 405-416.
    2. Jin, Xin & Zhao, Gaoyuan & Gao, KeJun & Ju, Wenbin, 2015. "Darrieus vertical axis wind turbine: Basic research methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 212-225.
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    4. Mahmoud El-Kafafy & Christof Devriendt & Patrick Guillaume & Jan Helsen, 2017. "Automatic Tracking of the Modal Parameters of an Offshore Wind Turbine Drivetrain System," Energies, MDPI, vol. 10(4), pages 1-15, April.
    5. Yanzhao Yang & Zhiping Guo & Yanfeng Zhang & Ho Jinyama & Qingan Li, 2017. "Numerical Investigation of the Tip Vortex of a Straight-Bladed Vertical Axis Wind Turbine with Double-Blades," Energies, MDPI, vol. 10(11), pages 1-18, October.
    6. Balduzzi, Francesco & Bianchini, Alessandro & Carnevale, Ennio Antonio & Ferrari, Lorenzo & Magnani, Sandro, 2012. "Feasibility analysis of a Darrieus vertical-axis wind turbine installation in the rooftop of a building," Applied Energy, Elsevier, vol. 97(C), pages 921-929.
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    Cited by:

    1. Minhui Tong & Weidong Zhu & Xiang Zhao & Meilin Yu & Kan Liu & Gang Li, 2020. "Free and Forced Vibration Analysis of H-type and Hybrid Vertical-Axis Wind Turbines," Energies, MDPI, vol. 13(24), pages 1-32, December.
    2. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.

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