The Blade Design of a Bionic Shark Fin Airfoil for a Horizontal Axis Tidal Current Turbine

2021 ◽  
Vol 147 (6) ◽  
Author(s):  
Kaisheng Zhang ◽  
Shihao Yang ◽  
Zhen Gao ◽  
Baocheng Zhang
2015 ◽  
pp. 601-612
Author(s):  
B Morandi ◽  
F Di Felice ◽  
M Costanzo ◽  
G Romano ◽  
D Dhomé ◽  
...  

Author(s):  
Takumi Nagataki ◽  
Ko Kurokawa ◽  
Reiko Yamada ◽  
Daisaku Sakaguchi ◽  
Yusaku Kyozuka

Abstract A global search optimization system is applied to the design of a horizontal axis tidal current turbine with shroud. 11 design parameters of the turbine blade and 4 design parameters of the shroud casing are considered for the optimization using a genetic algorithm. In order to reduce the simulation cost, a neural network is applied as the meta-model of the RANS (Reynolds-averaged Navier–Stokes) equation solver. Multi-objectives of the power coefficient at different tip speed ratios are applied to cover a wide operating range of the turbine. The CFD (Computational fluid dynamics) for optimization is validated experimentally for the case of a baseline design, and an optimum design is proposed. In this paper, a static structural analysis has been performed, and its robustness is confirmed under several operating conditions. Furthermore, internal flow of the optimized turbine is discussed in detail. It is found that the optimized blade generates a swirling flow and suppresses flow separation at the diffuser wall. The wide angle of the diffuser successfully achieves a high pressure recovery ratio and results in a high level of suction at the inlet of the turbine. It is found that the high-performance tidal turbine is possible to design if both the blade and the shroud diffuser are optimized at the same time.


Energy ◽  
2019 ◽  
Vol 182 ◽  
pp. 177-186 ◽  
Author(s):  
Yangjian Li ◽  
Hongwei Liu ◽  
Yonggang Lin ◽  
Wei Li ◽  
Yajing Gu

2017 ◽  
Vol 29 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Feng-mei Jing ◽  
Wei-jia Ma ◽  
Liang Zhang ◽  
Shu-qi Wang ◽  
Xiao-hang Wang

2020 ◽  
Vol 34 (2) ◽  
pp. 223-231
Author(s):  
Bing-zhen Wang ◽  
Teng-yan Hu ◽  
Yi Guo ◽  
Yuan-fei Zhang

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