IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v97y2016icp230-242.html
   My bibliography  Save this article

CFD simulation of a floating offshore wind turbine system using a variable-speed generator-torque controller

Author

Listed:
  • Quallen, Sean
  • Xing, Tao

Abstract

Prediction and control of rotor rotational velocity is critical for accurate aerodynamic loading and generator power predictions. A variable-speed generator-torque controller is combined with the two-phase CFD solver CFDShip-Iowa V4.5. The developed code is utilized in simulations of the 5 MW floating offshore wind turbine (FOWT) conceptualized by the National Renewable Energy Laboratory (NREL) for the Offshore Code Comparison Collaboration (OC3). Fixed platform simulations are first performed to determine baseline rotor velocity and developed torque. A prescribed platform motion simulation is completed to identify effects of platform motion on rotor torque. The OC3’s load case 5.1, with regular wave and steady wind excitation, is performed and results are compared to NREL’s OC3 results. The developed code is shown to functionally control generator speed and torque but requires controller calibration for maximum power extraction. Generator speed variance is observed to be a function of unsteady stream-wise platform motions. The increased mooring forces of the present model are shown to keep the turbine in a more favorable variable-speed control region. Lower overall platform velocity magnitudes and less rotor torque are predicted corresponding to lower rotor rotational velocities and a reduction in generated power. Potential improvements and modifications to the present method are considered.

Suggested Citation

  • Quallen, Sean & Xing, Tao, 2016. "CFD simulation of a floating offshore wind turbine system using a variable-speed generator-torque controller," Renewable Energy, Elsevier, vol. 97(C), pages 230-242.
  • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:230-242
    DOI: 10.1016/j.renene.2016.05.061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116304712
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2016.05.061?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. Li, Yuwei & Paik, Kwang-Jun & Xing, Tao & Carrica, Pablo M., 2012. "Dynamic overset CFD simulations of wind turbine aerodynamics," Renewable Energy, Elsevier, vol. 37(1), pages 285-298.
    2. Li, Y. & Castro, A.M. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2015. "Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence," Renewable Energy, Elsevier, vol. 76(C), pages 338-361.
    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. Yang, Lin & Liao, Kangping & Ma, Qingwei & Ma, Gang & Sun, Hanbing, 2023. "Investigation of wake characteristics of floating offshore wind turbine with control strategy using actuator curve embedding method," Renewable Energy, Elsevier, vol. 218(C).
    2. Zhou, Yang & Xiao, Qing & Liu, Yuanchuan & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng & Pan, Guang & Li, Sunwei, 2022. "Exploring inflow wind condition on floating offshore wind turbine aerodynamic characterisation and platform motion prediction using blade resolved CFD simulation," Renewable Energy, Elsevier, vol. 182(C), pages 1060-1079.
    3. Wang, Qiang & Luo, Kun & Yuan, Renyu & Wang, Shuai & Fan, Jianren & Cen, Kefa, 2020. "A multiscale numerical framework coupled with control strategies for simulating a wind farm in complex terrain," Energy, Elsevier, vol. 203(C).
    4. Li, Liang & Gao, Yan & Hu, Zhiqiang & Yuan, Zhiming & Day, Sandy & Li, Haoran, 2018. "Model test research of a semisubmersible floating wind turbine with an improved deficient thrust force correction approach," Renewable Energy, Elsevier, vol. 119(C), pages 95-105.
    5. Aboutalebi, Payam & Garrido, Aitor J. & Garrido, Izaskun & Nguyen, Dong Trong & Gao, Zhen, 2024. "Hydrostatic stability and hydrodynamics of a floating wind turbine platform integrated with oscillating water columns: A design study," Renewable Energy, Elsevier, vol. 221(C).
    6. Arabhosseini, Akbar & Samimi-Akhijahani, Hadi & Motahayyer, Mehrnosh, 2019. "Increasing the energy and exergy efficiencies of a collector using porous and recycling system," Renewable Energy, Elsevier, vol. 132(C), pages 308-325.

    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. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    2. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    3. Li, Y. & Castro, A.M. & Martin, J.E. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2017. "Coupled computational fluid dynamics/multibody dynamics method for wind turbine aero-servo-elastic simulation including drivetrain dynamics," Renewable Energy, Elsevier, vol. 101(C), pages 1037-1051.
    4. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    5. Zhou, Yang & Xiao, Qing & Liu, Yuanchuan & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng & Pan, Guang & Li, Sunwei, 2022. "Exploring inflow wind condition on floating offshore wind turbine aerodynamic characterisation and platform motion prediction using blade resolved CFD simulation," Renewable Energy, Elsevier, vol. 182(C), pages 1060-1079.
    6. Youjin Kim & Galih Bangga & Antonio Delgado, 2020. "Investigations of HAWT Airfoil Shape Characteristics and 3D Rotational Augmentation Sensitivity Toward the Aerodynamic Performance Improvement," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    7. Huang, Haoda & Liu, Qingsong & Yue, Minnan & Miao, Weipao & Wang, Peilin & Li, Chun, 2023. "Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions," Renewable Energy, Elsevier, vol. 203(C), pages 280-300.
    8. Liu, Yuanchuan & Xiao, Qing & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng, 2017. "Establishing a fully coupled CFD analysis tool for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 112(C), pages 280-301.
    9. Silva, Paulo A.S.F. & Tsoutsanis, Panagiotis & Vaz, Jerson R.P. & Macias, Marianela M., 2024. "A comprehensive CFD investigation of tip vortex trajectory in shrouded wind turbines using compressible RANS solver," Energy, Elsevier, vol. 294(C).
    10. Liu, Pengyin & Yu, Guohua & Zhu, Xiaocheng & Du, Zhaohui, 2014. "Unsteady aerodynamic prediction for dynamic stall of wind turbine airfoils with the reduced order modeling," Renewable Energy, Elsevier, vol. 69(C), pages 402-409.
    11. Amin Allah, Veisi & Shafiei Mayam, Mohammad Hossein, 2017. "Large Eddy Simulation of flow around a single and two in-line horizontal-axis wind turbines," Energy, Elsevier, vol. 121(C), pages 533-544.
    12. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    13. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
    14. Tran, Thanh Toan & Kim, Dong-Hyun, 2016. "Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach," Renewable Energy, Elsevier, vol. 92(C), pages 244-261.
    15. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2019. "Numerical Investigation of the Effect of Tower Dam and Rotor Misalignment on Performance and Loads of a Large Wind Turbine in the Atmospheric Boundary Layer," Energies, MDPI, vol. 12(7), pages 1-19, March.
    16. Veisi, Amin Allah & Shafiei Mayam, Mohammad Hossein, 2017. "Effects of blade rotation direction in the wake region of two in-line turbines using Large Eddy Simulation," Applied Energy, Elsevier, vol. 197(C), pages 375-392.
    17. Della Posta, Giacomo & Leonardi, Stefano & Bernardini, Matteo, 2022. "A two-way coupling method for the study of aeroelastic effects in large wind turbines," Renewable Energy, Elsevier, vol. 190(C), pages 971-992.
    18. Kim, Yusik & Madsen, Helge Aa & Aparicio-Sanchez, Maria & Pirrung, Georg & Lutz, Thorsten, 2020. "Assessment of blade element momentum codes under varying turbulence levels by comparing with blade resolved computational fluid dynamics," Renewable Energy, Elsevier, vol. 160(C), pages 788-802.
    19. Make, Michel & Vaz, Guilherme, 2015. "Analyzing scaling effects on offshore wind turbines using CFD," Renewable Energy, Elsevier, vol. 83(C), pages 1326-1340.
    20. Alkhabbaz, Ali & Yang, Ho-Seong & Weerakoon, A.H Samitha & Lee, Young-Ho, 2021. "A novel linearization approach of chord and twist angle distribution for 10 kW horizontal axis wind turbine," Renewable Energy, Elsevier, vol. 178(C), pages 1398-1420.

    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:97:y:2016:i:c:p:230-242. 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.