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A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines

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  • Edmunds, Matt
  • Williams, Alison J.
  • Masters, Ian
  • Banerjee, Arindam
  • VanZwieten, James H.

Abstract

Efficient numerical simulation of renewable energy wind and tidal turbines is important for the layout of devices in farms. Computational Fluid Dynamics (CFD) approaches using blade geometry resolved models are computationally expensive. Therefore, most array models use source term representations of rotors, normally actuator disk, actuator line or blade element disk. Unfortunately, these methods rarely capture enough physics to accurately predict power and at the same time correctly characterise the wake velocity field and turbulent structures.

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  • 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).
    • Handle: RePEc:eee:energy:v:194:y:2020:i:c:s0360544219324983
    DOI: 10.1016/j.energy.2019.116803
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    References listed on IDEAS

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    Cited by:

    1. Chen, Yaling & Lin, Binliang & Liang, Dongfang, 2023. "Interactions between approaching flow and hydrokinetic turbines in a staggered layout," Renewable Energy, Elsevier, vol. 218(C).
    2. Xu, Zongyuan & Gao, Xiaoxia & Zhang, Huanqiang & Lv, Tao & Han, Zhonghe & Zhu, Xiaoxun & Wang, Yu, 2023. "Analysis of the anisotropy aerodynamic characteristics of downstream wind turbine considering the 3D wake expansion based on coupling method," Energy, Elsevier, vol. 263(PD).
    3. Badoe, Charles E. & Edmunds, Matt & Williams, Alison J. & Nambiar, Anup & Sellar, Brian & Kiprakis, Aristides & Masters, Ian, 2022. "Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility," Renewable Energy, Elsevier, vol. 190(C), pages 232-250.
    4. Navarro Diaz, Gonzalo P. & Saulo, A. Celeste & Otero, Alejandro D., 2021. "Full wind rose wind farm simulation including wake and terrain effects for energy yield assessment," Energy, Elsevier, vol. 237(C).
    5. Li, Siyi & Zhang, Mingrui & Piggott, Matthew D., 2023. "End-to-end wind turbine wake modelling with deep graph representation learning," Applied Energy, Elsevier, vol. 339(C).
    6. Modali, Pranav K. & Vinod, Ashwin & Banerjee, Arindam, 2021. "Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays," Renewable Energy, Elsevier, vol. 177(C), pages 482-494.
    7. Vinod, Ashwin & Han, Cong & Banerjee, Arindam, 2021. "Tidal turbine performance and near-wake characteristics in a sheared turbulent inflow," Renewable Energy, Elsevier, vol. 175(C), pages 840-852.

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