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The Buhl correction factor applied to high induction conditions for tidal stream turbines

Author

Listed:
  • Chapman, J.C.
  • Masters, I.
  • Togneri, M.
  • Orme, J.A.C.

Abstract

Blade Element Momentum Theory (BEMT) is a computationally efficient method of calculating the performance of a tidal stream turbine (TST) generating energy from the ocean. This efficiency is achieved by making several simplifying assumptions; an unintended consequence of these assumptions is the omission of some phenomena that can significantly alter the performance and loads of a TST. We can ameliorate this by incorporating suitable corrections into a BEMT model, which allow us to account for some of the effects of these phenomena. This paper examines the implementation of corrections in an established BEMT solver for two such phenomena: tip/hub losses and high induction conditions.

Suggested Citation

  • Chapman, J.C. & Masters, I. & Togneri, M. & Orme, J.A.C., 2013. "The Buhl correction factor applied to high induction conditions for tidal stream turbines," Renewable Energy, Elsevier, vol. 60(C), pages 472-480.
    • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:472-480
    DOI: 10.1016/j.renene.2013.05.018
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    References listed on IDEAS

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    1. Griffiths, R.T. & Woollard, M.G., 1978. "Performance of the optimal wind turbine," Applied Energy, Elsevier, vol. 4(4), pages 261-272, October.
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    Cited by:

    1. Ian Masters & Alison Williams & T. Nick Croft & Michael Togneri & Matt Edmunds & Enayatollah Zangiabadi & Iain Fairley & Harshinie Karunarathna, 2015. "A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis," Energies, MDPI, vol. 8(8), pages 1-21, July.
    2. El-Shahat, Saeed A. & Li, Guojun & Fu, Lei, 2021. "Investigation of wave–current interaction for a tidal current turbine," Energy, Elsevier, vol. 227(C).
    3. Li, Wei & Zhou, Hongbin & Liu, Hongwei & Lin, Yonggang & Xu, Quankun, 2016. "Review on the blade design technologies of tidal current turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 414-422.
    4. Abutunis, Abdulaziz & Hussein, Rafid & Chandrashekhara, K., 2019. "A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application," Renewable Energy, Elsevier, vol. 136(C), pages 1281-1293.
    5. Xu, Jian & Wang, Longyan & Yuan, Jianping & Shi, Jiali & Wang, Zilu & Zhang, Bowen & Luo, Zhaohui & Tan, Andy C.C., 2023. "A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades," Energy, Elsevier, vol. 282(C).
    6. Dong, Yongjun & Guo, Jingfu & Chen, Jianmei & Sun, Chao & Zhu, Wanqiang & Chen, Liwei & Zhang, Xueming, 2021. "Development of a 300 kW horizontal-axis tidal stream energy conversion system with adaptive variable-pitch turbine and direct-drive PMSG," Energy, Elsevier, vol. 226(C).
    7. Edmunds, Matt & Williams, Alison J. & Masters, Ian & Banerjee, Arindam & VanZwieten, James H., 2020. "A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines," Energy, Elsevier, vol. 194(C).
    8. Edmunds, M. & Williams, A.J. & Masters, I. & Croft, T.N., 2017. "An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 101(C), pages 67-81.
    9. Murray, Robynne E. & Ordonez-Sanchez, Stephanie & Porter, Kate E. & Doman, Darrel A. & Pegg, Michael J. & Johnstone, Cameron M., 2018. "Towing tank testing of passively adaptive composite tidal turbine blades and comparison to design tool," Renewable Energy, Elsevier, vol. 116(PA), pages 202-214.
    10. Liu, Cheng & Hu, Changhong, 2019. "An actuator line - immersed boundary method for simulation of multiple tidal turbines," Renewable Energy, Elsevier, vol. 136(C), pages 473-490.

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    2. Edmunds, Matt & Williams, Alison J. & Masters, Ian & Banerjee, Arindam & VanZwieten, James H., 2020. "A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines," Energy, Elsevier, vol. 194(C).
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