Optimization Study of Shaft Tubular Turbine in a Bidirectional Tidal Power Station

Ge, Xinfeng; Feng, Yuanyue; Zhou, Ye; Zheng, Yuan; Yang, Chunxia

doi:10.1155/2013/731384

Cited by 6 publications

(7 citation statements)

References 3 publications

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“…Li [17] studied the hydraulic characteristics of a new type bulb turbine with micro-head. Ge [18] numerically optimized a shaft tubular turbine runner for a bidirectional tidal power station with a complete 3D flow-channel model, and the simulation results matched the experimental data very well. Wang [19] designed a high efficiency and integrated performance bidirectional cross-flow tidal generation units with optimum method combining theoretical analyses with CFD (Computational Fluid Dynamics) technology.…”

Section: Introductionmentioning

confidence: 79%

Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine

Luo

Wang

Liu

et al. 2015

Energy

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Section: Introductionmentioning

confidence: 79%

Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine

Luo

Wang

Liu

et al. 2015

Energy

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“…Computational Fluid Dynamics (CFD) is one of the most powerful engineering tools for fluid flow analysis. In the literature, turbulence model simulation has been studied to design pumps, turbines [2][3][4][5][6] and other systems while it was found that the simulation results agree well with the experiment. CFD simulation of a Kaplan turbine was used to predict the flow in a conical draft tube directly below the runner cone using turbulence models of the Unsteady Reynolds Average Navier-Stokes (URANS).…”

Section: Introductionmentioning

confidence: 87%

Angle Design of Stator-Rotor Blades for VLH Axial Flow Turbine using Surrogate-based Optimization

et al. 2021

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This paper demonstrates design of a Very Low Head axial flow turbine using surrogate-based optimization. The design variables were blade angles between guide vanes and runner blades, whereas the objective function was turbine efficiency. A Latin Hypercube Sampling method was initially used to design the experiment with thirty sampling points, and a Large Eddy Simulation was modeled to analyze the flow for all sampling points. A correlation between design variables and the turbine efficiency was then evaluated using the surrogate models while the optimal design variables were identified. Also, several optimizers were used to tackle the proposed problem and their performances were investigated. The optimal design of blade angles 18   being 10 o , 20 o , 30 o , 40 o , 25 o , 45 o , 55 o and 65 o respectively, increased the turbine efficiency up to 89.87 %. The approach of using surrogate modeling was proved to be very effective and simple for optimizing a design of blade angles of stator-rotor and it can be applied for designing any other new blades.

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“…Ge et al 6 conducted an optimization study on a tidal turbine in a tidal power station and analyzed a method of energy extraction for low-tide and hightide states. Three factors, namely tidal flow, turbine shafts, and helical blades, were addressed, and the functioning of these factors relative to one another was optimized via a numerical simulation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the numerical and experimental performance of screw tidal turbines

Rahmani

Biglari

Valipour

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part A:

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This study was aimed at the numerical and experimental modeling of water flow during collision between water and vertical screw turbine blades with different cross sections (i.e. Darrieus, spoon, and airfoil). ANSYS Fluent was used to model water flow under tidal currents in a flume, and mesh independence was ensured after the selection of appropriate geometry. The collision problem was then solved in the transient state, and results on the momentum and power generated by different inlet velocities and different blade cross sections were analyzed. The findings showed that torque and turbine power increased with increasing inlet velocity. Subsequently, a turbine was experimentally created, with cross sections drawn in the numerical model and tested under the same conditions as that imposed on the model. Installing a multimeter on the turbine enabled the generation of turbine power in different dimensions. The resultant power increased with rising turbine dimensions. After obtaining the numerical and experimental results, the value of the output power of the turbine was validated. The validation indicated a 7% difference in output power between the numerical and experimental results, indicating acceptable accuracy.

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Optimization Study of Shaft Tubular Turbine in a Bidirectional Tidal Power Station

Cited by 6 publications

References 3 publications

Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine

Numerical prediction of pressure pulsation for a low head bidirectional tidal bulb turbine

Angle Design of Stator-Rotor Blades for VLH Axial Flow Turbine using Surrogate-based Optimization

Assessment of the numerical and experimental performance of screw tidal turbines

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