The mean wake of a three-bladed horizontal axis tidal stream turbine operating at maximum power coefficient has been investigated experimentally in a wide flume with width 11 times the depth, providing minimal restriction to transverse wake development and behaviour of large-scale horizontal turbulence structures. This is an important first stage for understanding wake interaction in turbine arrays and hence large-scale power generation. The rotor diameter has a typical value of 60% of the depth and the thrust coefficient is representative of a full-scale turbine. The shear layers originating from the rotor tip circumference show classic linear expansion downstream, with the rate of a plane shear layer vertically and 1.5 times that horizontally. These shear layers merge by around 2.5 diameters downstream forming a self-similar two-dimensional wake beyond eight diameters downstream with a virtual origin at two diameters downstream of the rotor plane. The spreading rate is somewhat less than that for solid bodies. The detailed velocity measurements made in the near wake show rotation and vorticity similar to that measured previously for wind and marine turbines although with asymmetry associated with bed and surface proximity. The longitudinal circulation in a transverse plane is conserved at about 1% of the swept circulation from the blade tip within two diameters downstream, the extent of detailed measurement Turbines are usually designed using blade element momentum theory in which velocities at the rotor plane are characterised by axial and tangential induction factors and it is now possible to see how this idealisation relates to actual velocities. The axial induction factor corresponds to velocity deficits at 0A-0.8 radii from the rotor axis across the near wake while the tangential induction factor at the rotor plane corresponds to velocities at 0.4-0.6 radii between 1-2 diameters downstream, indicating some general correspondence. For the two-dimensional self-similar far wake the two parameters defining the centreline velocity deficit and the transverse velocity profiles are likely to be insensitive to Reynolds number in turbulent conditions. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
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Natl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, ItalyNatl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, Italy
Di Felice, Fabio
Capone, Alessandro
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Natl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, ItalyNatl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, Italy
Capone, Alessandro
Romano, Giovanni Paolo
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Univ Roma La Sapienza, Dept Mech & Aerosp Engn, Via Eudossiana 18, I-00184 Rome, ItalyNatl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, Italy
Romano, Giovanni Paolo
Pereira, Francisco Alves
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Natl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, ItalyNatl Res Council CNR INM, Inst Marine Engn, Via Vallerano 139, I-00128 Rome, Italy
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Key Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing,210024, ChinaKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
Zhang, Jisheng
Zhou, Yudi
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College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing,210024, ChinaKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
Zhou, Yudi
Lin, Xiangfeng
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College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing,210024, ChinaKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
Lin, Xiangfeng
Wang, Guohui
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College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing,210024, ChinaKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
Wang, Guohui
Guo, Yakun
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Faculty of Engineering & Informatics, University of Bradford, UK, United KingdomKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China
Guo, Yakun
Chen, Hao
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College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing,210024, ChinaKey Laboratory of Coastal Disaster and Defence, Ministry of Education, Hohai University, Nanjing,210024, China