IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v94y2016icp547-557.html
   My bibliography  Save this article

Design and kinetic analysis of wind turbine blade-hub-tower coupled system

Author

Listed:
  • Liu, Wenyi

Abstract

A typical 1.5 MW wind turbine suitable for Xuzhou City is designed and simulated in this paper. The wind turbine blade-hub-tower coupling system and most of the parameters are designed and calculated in the design process. In the kinetic analysis process, the force analysis under 4 different situations are taken to verify the structure design, which are under quiescent condition, under random angle and random wind turbine, under maximal wind speed and over maximal wind speed. At last, the modal analysis selected the turbine hub and tower to solve the inherent frequencies and vibration modes. The first 5 order inherent frequencies and vibration modes of the hub and tower are solved to verify the design rationality.

Suggested Citation

  • Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    • Handle: RePEc:eee:renene:v:94:y:2016:i:c:p:547-557
    DOI: 10.1016/j.renene.2016.03.068
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811630252X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.03.068?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. Gebhardt, C.G. & Roccia, B.A., 2014. "Non-linear aeroelasticity: An approach to compute the response of three-blade large-scale horizontal-axis wind turbines," Renewable Energy, Elsevier, vol. 66(C), pages 495-514.
    2. Tang, Baoping & Liu, Wenyi & Song, Tao, 2010. "Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution," Renewable Energy, Elsevier, vol. 35(12), pages 2862-2866.
    3. Liu, W.Y. & Zhang, W.H. & Han, J.G. & Wang, G.F., 2012. "A new wind turbine fault diagnosis method based on the local mean decomposition," Renewable Energy, Elsevier, vol. 48(C), pages 411-415.
    4. Slot, H.M. & Gelinck, E.R.M. & Rentrop, C. & van der Heide, E., 2015. "Leading edge erosion of coated wind turbine blades: Review of coating life models," Renewable Energy, Elsevier, vol. 80(C), pages 837-848.
    5. Liu, Wenyi & Tang, Baoping & Jiang, Yonghua, 2010. "Status and problems of wind turbine structural health monitoring techniques in China," Renewable Energy, Elsevier, vol. 35(7), pages 1414-1418.
    6. Al-Khudairi, O. & Ghasemnejad, H., 2015. "To improve failure resistance in joint design of composite wind turbine blade materials," Renewable Energy, Elsevier, vol. 81(C), pages 936-951.
    7. Passon, Patrik, 2015. "Damage equivalent wind–wave correlations on basis of damage contour lines for the fatigue design of offshore wind turbines," Renewable Energy, Elsevier, vol. 81(C), pages 723-736.
    8. Wenyi, Liu & Zhenfeng, Wang & Jiguang, Han & Guangfeng, Wang, 2013. "Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM," Renewable Energy, Elsevier, vol. 50(C), pages 1-6.
    9. Kilic, Gokhan & Unluturk, Mehmet S., 2015. "Testing of wind turbine towers using wireless sensor network and accelerometer," Renewable Energy, Elsevier, vol. 75(C), pages 318-325.
    10. Carswell, W. & Johansson, J. & Løvholt, F. & Arwade, S.R. & Madshus, C. & DeGroot, D.J. & Myers, A.T., 2015. "Foundation damping and the dynamics of offshore wind turbine monopiles," Renewable Energy, Elsevier, vol. 80(C), pages 724-736.
    11. Lee, Young-Tae & Lim, Hee-Chang, 2015. "Numerical study of the aerodynamic performance of a 500 W Darrieus-type vertical-axis wind turbine," Renewable Energy, Elsevier, vol. 83(C), pages 407-415.
    12. Fischer, Gunter Reinald & Kipouros, Timoleon & Savill, Anthony Mark, 2014. "Multi-objective optimisation of horizontal axis wind turbine structure and energy production using aerofoil and blade properties as design variables," Renewable Energy, Elsevier, vol. 62(C), pages 506-515.
    13. 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.
    14. Wei, Sha & Zhao, Jingshan & Han, Qinkai & Chu, Fulei, 2015. "Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty," Renewable Energy, Elsevier, vol. 78(C), pages 60-67.
    15. Bitkina, Olga & Kang, Ki-Weon & Lee, Jang-Ho, 2015. "Experimental and theoretical analysis of the stress–strain state of anisotropic multilayer composite panels for wind turbine blade," Renewable Energy, Elsevier, vol. 79(C), pages 219-226.
    16. Breton, S.-P. & Nilsson, K. & Olivares-Espinosa, H. & Masson, C. & Dufresne, L. & Ivanell, S., 2014. "Study of the influence of imposed turbulence on the asymptotic wake deficit in a very long line of wind turbines," Renewable Energy, Elsevier, vol. 70(C), pages 153-163.
    17. Roth-Johnson, Perry & Wirz, Richard E. & Lin, Edward, 2014. "Structural design of spars for 100-m biplane wind turbine blades," Renewable Energy, Elsevier, vol. 71(C), pages 133-155.
    18. Koukoura, Christina & Natarajan, Anand & Vesth, Allan, 2015. "Identification of support structure damping of a full scale offshore wind turbine in normal operation," Renewable Energy, Elsevier, vol. 81(C), pages 882-895.
    19. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
    20. Habibi, Hossein & Cheng, Liang & Zheng, Haitao & Kappatos, Vassilios & Selcuk, Cem & Gan, Tat-Hean, 2015. "A dual de-icing system for wind turbine blades combining high-power ultrasonic guided waves and low-frequency forced vibrations," Renewable Energy, Elsevier, vol. 83(C), pages 859-870.
    21. Abkar, Mahdi & Porté-Agel, Fernando, 2014. "Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition," Renewable Energy, Elsevier, vol. 70(C), pages 142-152.
    22. Liu, W.Y. & Tang, B.P. & Han, J.G. & Lu, X.N. & Hu, N.N. & He, Z.Z., 2015. "The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 466-472.
    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. Zhu, Jie & Zhou, Zhong & Cai, Xin, 2020. "Multi-objective aerodynamic and structural integrated optimization design of wind turbines at the system level through a coupled blade-tower model," Renewable Energy, Elsevier, vol. 150(C), pages 523-537.
    2. Ren, He & Liu, Wenyi & Shan, Mengchen & Wang, Xin & Wang, Zhengfeng, 2021. "A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation," Renewable Energy, Elsevier, vol. 168(C), pages 972-980.
    3. Erdemir, Gökhan & Kuzucuoğlu, Ahmet Emin & Selçuk, Fahri Anil, 2020. "A mobile wind turbine design for emergencies in rural areas," Renewable Energy, Elsevier, vol. 166(C), pages 9-19.

    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. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    2. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    3. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    4. 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.
    5. 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.
    6. 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.
    7. Liu, W.Y. & Zhang, W.H. & Han, J.G. & Wang, G.F., 2012. "A new wind turbine fault diagnosis method based on the local mean decomposition," Renewable Energy, Elsevier, vol. 48(C), pages 411-415.
    8. Ibrahim, Muhammad Sohail & Dong, Wei & Yang, Qiang, 2020. "Machine learning driven smart electric power systems: Current trends and new perspectives," Applied Energy, Elsevier, vol. 272(C).
    9. Wenyi, Liu & Zhenfeng, Wang & Jiguang, Han & Guangfeng, Wang, 2013. "Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM," Renewable Energy, Elsevier, vol. 50(C), pages 1-6.
    10. Shah, Owaisur Rahman & Tarfaoui, Mostapha, 2016. "The identification of structurally sensitive zones subject to failure in a wind turbine blade using nodal displacement based finite element sub-modeling," Renewable Energy, Elsevier, vol. 87(P1), pages 168-181.
    11. Liu, Xianzeng & Yang, Yuhu & Zhang, Jun, 2018. "Resultant vibration signal model based fault diagnosis of a single stage planetary gear train with an incipient tooth crack on the sun gear," Renewable Energy, Elsevier, vol. 122(C), pages 65-79.
    12. Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
    13. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.
    14. Zhang, Yu & Lu, Wenxiu & Chu, Fulei, 2017. "Planet gear fault localization for wind turbine gearbox using acoustic emission signals," Renewable Energy, Elsevier, vol. 109(C), pages 449-460.
    15. Dimitris Al. Katsaprakakis & Nikos Papadakis & Ioannis Ntintakis, 2021. "A Comprehensive Analysis of Wind Turbine Blade Damage," Energies, MDPI, vol. 14(18), pages 1-31, September.
    16. Md Liton Hossain & Ahmed Abu-Siada & S. M. Muyeen, 2018. "Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review," Energies, MDPI, vol. 11(5), pages 1-14, May.
    17. Habibi, Hamed & Howard, Ian & Simani, Silvio, 2019. "Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review," Renewable Energy, Elsevier, vol. 135(C), pages 877-896.
    18. Xueli An & Dongxiang Jiang, 2014. "Bearing fault diagnosis of wind turbine based on intrinsic time-scale decomposition frequency spectrum," Journal of Risk and Reliability, , vol. 228(6), pages 558-566, December.
    19. Yu Hu & Jian Yang & Charalampos Baniotopoulos, 2020. "Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings," Energies, MDPI, vol. 13(7), pages 1-23, March.
    20. He, Guolin & Ding, Kang & Li, Weihua & Jiao, Xintao, 2016. "A novel order tracking method for wind turbine planetary gearbox vibration analysis based on discrete spectrum correction technique," Renewable Energy, Elsevier, vol. 87(P1), pages 364-375.

    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:94:y:2016:i:c:p:547-557. 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.