IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v139y2019icp435-446.html
   My bibliography  Save this article

Effectiveness of individual pitch control on a 5 MW downwind turbine

Author

Listed:
  • Hoghooghi, Hadi
  • Chokani, Ndaona
  • Abhari, Reza.S.

Abstract

A novel experimental study of individual pitch control on downwind turbines is conducted. The experiment is accomplished using a sub-scale model of a 5 MW downwind turbine. It is shown that individual pitch control based on sinusoidal/cosinusoidal pitching schemes that are locked to the phase of the rotor rotation further improves the power output, yaw stability and mitigates the unsteady loads of a downwind turbine through the intelligent control system. The optimum pitching amplitude is observed to be insensitive to yaw angle. Furthermore, a negative sinusoidal pitching amplitude improves power and reduces overall unsteadiness at zero yaw angle. In the case of positive yaw; a positive cosinusoidal pitching amplitude improves power, reduces overall unsteadiness and improves yaw stability. In the case of negative yaw; when a positive sinusoidal pitching amplitude alleviates overall unsteadiness, improves yaw stability but reduces power while a positive cosinusoidal pitching amplitude increases power coefficient, alleviates overall unsteadiness but reduces yaw stability. Moreover, positive rotor yaw angle which is more stable than negative can be used to alleviate loads on downwind turbines during operation because overall unsteadiness is observed larger when the nacelle has a negative yaw angle, compared to when nacelle has a positive yaw angle.

Suggested Citation

  • Hoghooghi, Hadi & Chokani, Ndaona & Abhari, Reza.S., 2019. "Effectiveness of individual pitch control on a 5 MW downwind turbine," Renewable Energy, Elsevier, vol. 139(C), pages 435-446.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:435-446
    DOI: 10.1016/j.renene.2019.02.088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119302423
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.02.088?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. Kress, C. & Chokani, N. & Abhari, R.S., 2016. "Passive minimization of load fluctuations on downwind turbines," Renewable Energy, Elsevier, vol. 89(C), pages 543-551.
    2. Perveen, Rehana & Kishor, Nand & Mohanty, Soumya R., 2014. "Off-shore wind farm development: Present status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 780-792.
    3. Shen, Xin & Zhu, Xiaocheng & Du, Zhaohui, 2011. "Wind turbine aerodynamics and loads control in wind shear flow," Energy, Elsevier, vol. 36(3), pages 1424-1434.
    4. Njiri, Jackson G. & Söffker, Dirk, 2016. "State-of-the-art in wind turbine control: Trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 377-393.
    5. Kress, C. & Chokani, N. & Abhari, R.S., 2015. "Downwind wind turbine yaw stability and performance," Renewable Energy, Elsevier, vol. 83(C), pages 1157-1165.
    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. Zhen Li & Bofeng Xu & Xiang Shen & Hang Xiao & Zhiqiang Hu & Xin Cai, 2022. "Performance Analysis of Ultra-Scale Downwind Wind Turbine Based on Rotor Cone Angle Control," Energies, MDPI, vol. 15(18), pages 1-11, September.

    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. Sun, Qinghong & Li, Gen & Duan, Lei & He, Zanyang, 2023. "The coupling of tower-shadow effect and surge motion intensifies aerodynamic load variability in downwind floating offshore wind turbines," Energy, Elsevier, vol. 282(C).
    2. Koh, J.H. & Ng, E.Y.K., 2016. "Downwind offshore wind turbines: Opportunities, trends and technical challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 797-808.
    3. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
    4. Sang, Le Quang & Takao, Maeda & Kamada, Yasunari & Li, Qing'an, 2017. "Experimental investigation of the cyclic pitch control on a horizontal axis wind turbine in diagonal inflow wind condition," Energy, Elsevier, vol. 134(C), pages 269-278.
    5. Zhen Li & Bofeng Xu & Xiang Shen & Hang Xiao & Zhiqiang Hu & Xin Cai, 2022. "Performance Analysis of Ultra-Scale Downwind Wind Turbine Based on Rotor Cone Angle Control," Energies, MDPI, vol. 15(18), pages 1-11, September.
    6. Sang, Le Quang & Li, Qing’an & Cai, Chang & Maeda, Takao & Kamada, Yasunari & Wang, Xinbao & Zhou, Shuni & Zhang, Fanghong, 2021. "Wind tunnel and numerical study of a floating offshore wind turbine based on the cyclic pitch control," Renewable Energy, Elsevier, vol. 172(C), pages 453-464.
    7. Yanfang Chen & Young Hoon Joo & Dongran Song, 2022. "Multi-Objective Optimisation for Large-Scale Offshore Wind Farm Based on Decoupled Groups Operation," Energies, MDPI, vol. 15(7), pages 1-24, March.
    8. Bon-Yong Koo & Dae-Yi Jung, 2019. "A Comparative Study on Primary Bearing Rating Life of a 5-MW Two-Blade Wind Turbine System Based on Two Different Control Domains," Energies, MDPI, vol. 12(13), pages 1-16, July.
    9. Imraan, Mustahib & Sharma, Rajnish N. & Flay, Richard G.J., 2013. "Wind tunnel testing of a wind turbine with telescopic blades: The influence of blade extension," Energy, Elsevier, vol. 53(C), pages 22-32.
    10. Igliński, Bartłomiej & Iglińska, Anna & Koziński, Grzegorz & Skrzatek, Mateusz & Buczkowski, Roman, 2016. "Wind energy in Poland – History, current state, surveys, Renewable Energy Sources Act, SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 19-33.
    11. Shen, Xin & Chen, Jin-Ge & Zhu, Xiao-Cheng & Liu, Peng-Yin & Du, Zhao-Hui, 2015. "Multi-objective optimization of wind turbine blades using lifting surface method," Energy, Elsevier, vol. 90(P1), pages 1111-1121.
    12. Nejra Beganovic & Jackson G. Njiri & Dirk Söffker, 2018. "Reduction of Structural Loads in Wind Turbines Based on an Adapted Control Strategy Concerning Online Fatigue Damage Evaluation Models," Energies, MDPI, vol. 11(12), pages 1-15, December.
    13. M’hammed Sahnoun & David Baudry & Navonil Mustafee & Anne Louis & Philip Andi Smart & Phil Godsiff & Belahcene Mazari, 2019. "Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2981-2997, December.
    14. He, Ruiyang & Yang, Hongxing & Lu, Lin, 2023. "Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control," Applied Energy, Elsevier, vol. 337(C).
    15. 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.
    16. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "The effect of electricity consumption from renewable sources on countries׳ economic growth levels: Evidence from advanced, emerging and developing economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 166-173.
    17. Nansheng Pang & Wenjing Guo, 2019. "Uncertain Hybrid Multiple Attribute Group Decision of Offshore Wind Power Transmission Mode Based on theVIKOR Method," Sustainability, MDPI, vol. 11(21), pages 1-21, November.
    18. Voormolen, J.A. & Junginger, H.M. & van Sark, W.G.J.H.M., 2016. "Unravelling historical cost developments of offshore wind energy in Europe," Energy Policy, Elsevier, vol. 88(C), pages 435-444.
    19. Feng, Ju & Shen, Wen Zhong, 2017. "Design optimization of offshore wind farms with multiple types of wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 1283-1297.
    20. Jeong, Min-Soo & Kim, Sang-Woo & Lee, In & Yoo, Seung-Jae & Park, K.C., 2013. "The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 60(C), pages 256-268.

    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:139:y:2019:i:c:p:435-446. 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.