scholarly journals Research on Pitch Control Strategies of Horizontal Axis Tidal Current Turbine

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

Author(s):  
Xuhua Yan ◽  
Rosemary Norman ◽  
Mohammed A. Elgendy

Abstract In recent years, there has been a growing interest in tidal current energy as it is a potential source for green electricity generation and the most predictable form of ocean renewable energy. Due to the harsh marine environment, the Tidal Current Turbine (TCT) system has to be designed to be robust and to work reliably with high availability to minimize the need for intervention. Thus, fault tolerant control strategies are needed to enable the system to continue operating under some fault conditions, this will reduce the power generation cost and also increase the system robustness. This paper introduces some of the different fault conditions that may occur in TCT systems such as sensor faults, especially tidal current sensors. Potential solutions for these faults are then introduced. The paper then presents a standalone TCT generation system model with perturb and observe (P&O) control; this control aims to solve the tidal current speed sensor fault problem, ensuring that the system operates near the maximum power point (MPP) without the tidal current speed sensor. The control system is simulated using MATLAB/Simulink, for a TCT, utilizing a permanent synchronous generator (PMSG) and a boost converter.


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