scholarly journals Design and Hydrodynamic Performance of a Horizontal Axis Hydrokinetic Turbine

2019 ◽  
Vol 16 (2) ◽  
pp. 6453-6469
Author(s):  
M. Nachtane ◽  
M. Tarfaoui ◽  
A. El Moumen ◽  
D. Saifaoui ◽  
H. Benyahia
Keyword(s):  
Design Feature ◽  
Complete Response ◽  
Horizontal Axis ◽  
Hydrodynamic Performance ◽  
Energy Output ◽  
Hydrodynamic Characteristics ◽  
Marine Energy ◽  
Hydrokinetic Turbine ◽  
Tidal Current Turbine ◽  
Current Turbine

Marine energy is gaining more and more interest in recent years and, in comparison to fossil energy, is very attractive due to predictable energy output, renewable and sustainable, the Horizontal Axis Hydrokinetic Turbine (HAHT) is one of the most innovative energy systems that allow transforms the kinetic energy into electricity. This work presents a new series of hydrofoil sections, named here NTSXX20, and was designed to work at different turbine functioning requirement. These hydrofoils have excellent hydrodynamic characteristics at the operating Reynolds number. The design of the turbine has been done utilising XFLR5 code and QBlade which is a Blade-Element Momentum solver with a blade design feature. Tidal current turbine has been able to capture about 50% from TSR range of 5 to 9 with maximum CPower of 51 % at TSR=6,5.   The hydrodynamics performance for the CFD cases was presented and was employed to explain the complete response of the turbine.

Experimental study of hydrodynamic performance of full-scale horizontal axis tidal current turbine

2017 ◽  
Vol 29 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Feng-mei Jing ◽  
Wei-jia Ma ◽  
Liang Zhang ◽  
Shu-qi Wang ◽  
Xiao-hang Wang
Keyword(s):  
Experimental Study ◽  
Tidal Current ◽  
Full Scale ◽  
Horizontal Axis ◽  
Hydrodynamic Performance ◽  
Tidal Current Turbine ◽  
Current Turbine

CFD-Based Study of a Tidal Current Turbine in a Horizontal Axis Under Regular Waves

2019 ◽  
Author(s):  
Jing Liu ◽  
Longfei Xiao ◽  
Fengmei Jing
Keyword(s):  
Tidal Current ◽  
Wave Amplitude ◽  
Horizontal Axis ◽  
Hydrodynamic Performance ◽  
Power Coefficient ◽  
Regular Waves ◽  
Dimensional Parameter ◽  
Near Surface ◽  
Tidal Current Turbine ◽  
Current Turbine

Abstract The horizontal-axis tidal current turbine is often installed in near-surface to use the high flow velocity of tidal current, and many designers have found the effect of wave on the hydrodynamic performance of tidal current turbine. The present study focuses on the hydrodynamic analysis of a tidal current turbine in a horizontal axis under the condition of regular waves, based on CFD method. The experimental data are used to verify the feasibility of the method. A non-dimensional parameter k is defined as the ratio of tip submergence to wave amplitude. It is shown that the numerical method is good to predict the hydrodynamic performance of horizontal axis turbine. By comparing the power coefficient and axial load coefficient in different tip submergence and wave amplitude, the effects of tip submergence and wave amplitude on the hydrodynamic performance of tidal current turbine are analyzed.

Experimental investigation of the wake of a horizontal axis tidal current turbine by LDV

2015 ◽  
pp. 601-612
Author(s):  
B Morandi ◽  
F Di Felice ◽  
M Costanzo ◽  
G Romano ◽  
D Dhomé ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Tidal Current ◽  
Horizontal Axis ◽  
Tidal Current Turbine ◽  
Current Turbine

Optimization of a Horizontal Axis Tidal Current Turbine by Multi-Objective Optimization

2019 ◽  
Author(s):  
Takumi Nagataki ◽  
Ko Kurokawa ◽  
Reiko Yamada ◽  
Daisaku Sakaguchi ◽  
Yusaku Kyozuka
Keyword(s):  
Tidal Current ◽  
Swirling Flow ◽  
Operating Conditions ◽  
Horizontal Axis ◽  
Power Coefficient ◽  
Design Parameters ◽  
Navier Stokes Equation ◽  
Baseline Design ◽  
Tidal Current Turbine ◽  
Current Turbine

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.

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