Design, analysis and predicting hydrokinetic performance of a horizontal marine current axial turbine by consideration of turbine installation depth

Noruzi, R.; Vahidzadeh, Mohsen; Riasi, Alireza

doi:10.1016/j.oceaneng.2015.08.056

Cited by 31 publications

(12 citation statements)

References 13 publications

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“…1 Tidal current turbine is an effective device which can directly obtain energy from the ocean with less harmful environmental effects. [7][8][9][10] The BEM theory is modified by taking the tip loss and hub loss into account after the study by Prandtl. 5 The design method and theory of tidal current turbine mainly comes from horizontal axis wind turbine.…”

Section: Introductionmentioning

confidence: 99%

“…6 Blade element momentum (BEM) theory is the most widely used which combines momentum theory with blade element theory. [7][8][9][10] The BEM theory is modified by taking the tip loss and hub loss into account after the study by Prandtl. In addition, there are other theories to be applied to design hydraulic turbine such as lifting line theory and Schmitz theory.…”

Section: Introductionmentioning

confidence: 99%

“…As an effective simulation tool, computational fluid dynamics (CFD) which are based on the Reynolds-Averaged Navier-Stokes (RANS) equations, are then performed to evaluate the performance of the rotor both at transient and steady state. 7,13,14 Gao et al 15,16 adapted CFD method to optimize bidirectional flow passage components and lateral inlet/outlet diffusion part of a pumped hydroelectric storage. The BEM-CFD method is an enhanced actuator disk and is able to reduce the computational cost by simulating a time-averaged downstream velocity field.…”

Section: Introductionmentioning

confidence: 99%

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Prediction and multi‐objective optimization of tidal current turbines considering cavitation based on GA‐ANN methods

Sun

Fan

et al. 2019

Energy Science & Engineering

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As a new type of energy, tidal current energy is increasingly gaining attention worldwide. However, the tidal current energy development field faces a key technical problem of how to improve the generation efficiency and service life of tidal current generators. In this study, an innovative optimized design method of the horizontal axis tidal turbine was applied to the rotor blade design. To be specific, blade cavitation was considered as a factor for optimization and then was improved using a modern optimization method that combined artificial neural networks and genetic algorithms, solving for a numerical solution. In the optimization program, the annual energy output and the superficial area of the rotor blade served as the optimization goals, and the chord length and the twist angle served as the optimization variables. The cavitation constraint was different from the traditional method in that the judgment criterion of occurrence of cavitation was no longer the minimum pressure coefficient but the maximum stress coefficient. The combination of the artificial neural network and the genetic algorithm not only realized high optimization accuracy but also greatly saved computation time. To verify the validity of the optimization method, a 1 MW turbine was designed, and the optimal solution was chosen from the formed Pareto optimal solution set for modeling, and the new model was compared with the model quoted in the reference. The simulation result shows that the turbine designed using the optimization method not only reduces the surface area of the rotor blade and improves the annual energy output, but also remarkably improves the blades' cavitation resistance. The optimization analysis and comparison using different cavitation judgment criteria shows that the cavitation resistance of blades obtained using the maximum stress coefficient as the judgment criterion is more advantageous.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction and multi‐objective optimization of tidal current turbines considering cavitation based on GA‐ANN methods

Sun

Fan

et al. 2019

Energy Science & Engineering

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“…Moreover LES validation studies have been carried out [18] [19] proving the capability of the model in capture the main characteristics of the ow in presence of turbines. Conversely in the marine eld, most of the numerical studies have been performed by means of RANS [3][20], and only a few studies concern LES methodology [5]. The aim of this research is to provide an insight on the interaction between the turbine and stable stratication, in particular evaluating the eects that marine stratication entails on turbine power performance, wake behavior and velocity decit recover.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Large eddy simulation of a marine turbine in a stable stratified flow condition

Brunetti

Armenio

Roman³

2019

J. Ocean Eng. Mar. Energy

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power performance of a marine current turbine under a free surface through a nite volume solver coupled with immersed boundary method. Two free surface methods have been applied and validated. Then the power coecient at dierent tip speed ratios was calculated and the results compared with reference experimental data exhibiting a general good agreement. Noruzi et al. [3] carried out a numerical simulations by means of Reynolds-averaged Navier-Stokes (RANS) with and without gravity waves and the results were compared to experimental data. The results showed that when the ratio between the installation depth and the total depth of the domain is below a critical value, the installation depth of the rotor inuences the performance of the turbine. A few studies concern the investigation of power performance of turbines arrays. Mycek et al. [4] carried out an experimental and numerical study both for a single turbine and for two turbines. A three-dimensional software was employed based on a Lagrangian vortex particle method for numerical

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“…At present, they are mostly designed using the same method as for wind turbine blades, and many scholars have carried out a lot of researches. Noruzi et al (2015) based their research on BEMT (Blade Element Momentum Theory) to design the initial modal of horizontal axis tidal turbines and proposed a better confi guration by changing some parameters in rotor design. Zhu et al (2014) analyzed the characteristics of surface tidal current energy of China and use the BEMT mathematical model to design a 2.5-kW horizontal axis tidal current energy turbine generator blade.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Hydrodynamic Performance of a Horizontal Axis Tidal Turbine Blade Designed by Profile Modeling Based on the Shark Fin

Zhang

Gao

Liu

et al. 2019

Inter J Ener Clean Env

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Blades are the core components of horizontal axis tidal turbines, and their effi ciency has an important impact on the utilization of tidal current energy. In this paper, the excellent hydrodynamic performance of shark fi ns is applied to the blades design of a horizontal axis tidal turbine. Firstly, the three-dimensional digital models of shark fi ns are established through 3D scanning technology, and the blades of horizontal axis tidal turbine are obtained by profi le modeling of the shark fi n. Secondly, the soft ware of computational fl uid dynamics (CFD) is applied to analyze the hydrodynamic performance of the bionic blades. The parameters of power effi ciency coeffi cient C P , axial force coeffi cient C F , and torque coeffi cient C T of bionic blades are investigated and compared with conventional blades. The simulation result shows that the hydrodynamic performance of the bionic blades is bett er than that of conventional blades under the condition of the minor speed ratio at the blade tip. An innovative idea for the research on the tidal current turbine blades is provided. KEY WORDS: shark fi n, horizontal axis tidal turbine, bionic blades, hydrodynamic performanceInternational Journal of Energy for a Clean Environment 80Zhang et al.

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Design, analysis and predicting hydrokinetic performance of a horizontal marine current axial turbine by consideration of turbine installation depth

Cited by 31 publications

References 13 publications

Prediction and multi‐objective optimization of tidal current turbines considering cavitation based on GA‐ANN methods

Prediction and multi‐objective optimization of tidal current turbines considering cavitation based on GA‐ANN methods

Large eddy simulation of a marine turbine in a stable stratified flow condition

Simulation of the Hydrodynamic Performance of a Horizontal Axis Tidal Turbine Blade Designed by Profile Modeling Based on the Shark Fin

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