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Tidal stream resource assessment uncertainty due to flow asymmetry and turbine yaw misalignment

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  • Piano, M.
  • Neill, S.P.
  • Lewis, M.J.
  • Robins, P.E.
  • Hashemi, M.R.
  • Davies, A.G.
  • Ward, S.L.
  • Roberts, M.J.

Abstract

The majority of tidal energy convertors (TECs) currently under development are of a non-yawing horizontal axis design. However, most energetic regions that have been identified as candidate sites for installation of TEC arrays exhibit some degree of directional and magnitude asymmetry between incident flood and ebb flow angles and velocities, particularly in nearshore environments where topographic, bathymetric and seabed frictional effects and interactions are significant. Understanding the contribution of directional and magnitude asymmetry to resource power density along with off axis rotor alignment to flow could influence site selection and help elucidate optimal turbine orientation. Here, 2D oceanographic model simulations and field data were analysed to investigate these effects at potential deployment locations in the Irish Sea; an energetic semi-enclosed shelf sea region. We find that observed sites exhibiting a high degree of asymmetry may be associated with a reduction of over 2% in annual energy yield when deployment design optimisation is ignored. However, at the majority of sites, even in the presence of significant asymmetry, the difference is <0.3%. Although the effects are shown to have less significance than other uncertainties in resource assessment, these impacts could be further investigated and quantified using CFD and 3D modelling.

Suggested Citation

  • Piano, M. & Neill, S.P. & Lewis, M.J. & Robins, P.E. & Hashemi, M.R. & Davies, A.G. & Ward, S.L. & Roberts, M.J., 2017. "Tidal stream resource assessment uncertainty due to flow asymmetry and turbine yaw misalignment," Renewable Energy, Elsevier, vol. 114(PB), pages 1363-1375.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pb:p:1363-1375
    DOI: 10.1016/j.renene.2017.05.023
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    References listed on IDEAS

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    2. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    3. Marco Piano & Peter E. Robins & Alan G. Davies & Simon P. Neill, 2018. "The Influence of Intra-Array Wake Dynamics on Depth-Averaged Kinetic Tidal Turbine Energy Extraction Simulations," Energies, MDPI, vol. 11(10), pages 1-21, October.
    4. Ramírez-Mendoza, R. & Murdoch, L. & Jordan, L.B. & Amoudry, L.O. & McLelland, S. & Cooke, R.D. & Thorne, P. & Simmons, S.M. & Parsons, D. & Vezza, M., 2020. "Asymmetric effects of a modelled tidal turbine on the flow and seabed," Renewable Energy, Elsevier, vol. 159(C), pages 238-249.
    5. Luke Evans & Ian Ashton & Brian G. Sellar, 2023. "Impact on Energy Yield of Varying Turbine Designs under Conditions of Misalignment to the Current Flow," Energies, MDPI, vol. 16(9), pages 1-17, May.
    6. Ward, Sophie L. & Robins, Peter E. & Lewis, Matt J. & Iglesias, Gregorio & Hashemi, M. Reza & Neill, Simon P., 2018. "Tidal stream resource characterisation in progressive versus standing wave systems," Applied Energy, Elsevier, vol. 220(C), pages 274-285.
    7. Liu, Xiaodong & Chen, Zheng & Si, Yulin & Qian, Peng & Wu, He & Cui, Lin & Zhang, Dahai, 2021. "A review of tidal current energy resource assessment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    8. Guillou, Nicolas & Neill, Simon P. & Robins, Peter E., 2018. "Characterising the tidal stream power resource around France using a high-resolution harmonic database," Renewable Energy, Elsevier, vol. 123(C), pages 706-718.
    9. Fredriksson, Sam T. & Broström, Göran & Bergqvist, Björn & Lennblad, Johan & Nilsson, Håkan, 2021. "Modelling Deep Green tidal power plant using large eddy simulations and the actuator line method," Renewable Energy, Elsevier, vol. 179(C), pages 1140-1155.
    10. Dong, Yongjun & Yan, Yuting & Xu, Shiming & Zhang, Xinyu & Zhang, Xiao & Chen, Jianmei & Guo, Jingfu, 2023. "An adaptive yaw method of horizontal-axis tidal stream turbines for bidirectional energy capture," Energy, Elsevier, vol. 282(C).

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