Influence of duct geometry on the performance of Darrieus hydroturbine

Malipeddi, A.R.; Chatterjee, Dhiman

doi:10.1016/j.renene.2011.12.008

Cited by 65 publications

(41 citation statements)

References 12 publications

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“…This prediction accuracy is much higher than previous vertical axis turbine CFD predictions, which exhibit maximum Cp errors of more than 45% [12,14,[29][30][31], possibly due to the inclusion of the full turbine geometry in the present study. The use of 3D models also allows for the direct simulation of Cp without the need for empirical correction for 2D models as previous used [8,10,16].…”

Section: Validation Of Numerical Simulations With Experimental Fluid contrasting

confidence: 54%

“…Qualitatively domain wall height effects are shown in Figure 8, where the proximity of the wall to the turbine due to low domain height of 1.25D increased flow velocity through the domain due to flow constriction, artificially increasing Cp. Although not studied here this constriction effect could be harnessed to increase Cp through the use of shaped ducts or walls or limited water depths [12]. …”

Section: Domain Size Independencementioning

confidence: 99%

“…A wide variety of numerical models can be used to simulate vertical axis turbine performance and hydrodynamics, ranging from reduced order blade-element based models [7][8][9], vortex methods [10,11], two-dimensional (2D) Computational Fluid Dynamics (CFD) models [12], quasi 2D or 2.5D…”

Section: Introductionmentioning

confidence: 99%

“…Commercial CFD software such as ANSYS Fluent and CFX are commonly used to simulate turbine power output and hydrodynamics [3,8,[12][13][14][15][16][17][18], with most CFD simulations performed in 2D as 3D models require lengthy simulation times [10,13,17]. However, 2D…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional numerical simulations of straight-bladed vertical axis tidal turbines investigating power output, torque ripple and mounting forces

et al. 2015

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Three straight-bladed vertical axis turbine designs were simulated using ThreeDimensional (3D) transient Computational Fluid Dynamics (CFD) models, using a commercial Unsteady Reynolds Averaged Navier-Stokes (URANS). The turbine designs differed in support strut section, blade-strut joint design and strut location to evaluate their effect on power output, torque fluctuation levels and mounting forces. Simulations of power output were performed and validated against Experimental Fluid Dynamics (EFD), with results capturing the impacts of geometrical changes on turbine power output. Strut section and blade-strut joint design were determined to significantly influence total power output between the three turbine designs, with strut location having a smaller but still significant effect. Maximum torque fluctuations were found to occur around the rotation speed corresponding to maximum power output and fluctuation levels increased with overall turbine efficiency. Turbine mounting forces were also simulated and successfully validated against EFD results. Mounting forces aligned with the inflow increased with rotational rates, but plateaued due to reductions in shaft drag caused by rotation and blockage effects. Mounting forces perpendicular to the inflow were found to be 75% less than forces aligned with the inflow. High loading force fluctuations were found, with maximum values 40% greater than average forces.

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Section: Validation Of Numerical Simulations With Experimental Fluid contrasting

confidence: 54%

Section: Domain Size Independencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Three-dimensional numerical simulations of straight-bladed vertical axis tidal turbines investigating power output, torque ripple and mounting forces

et al. 2015

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“…These 2D models are often used due to their significantly reduced computational requirements when compared to Three-Dimensional (3D) models. However, these 2D approaches often significantly over predict maximum power output [4][5][6][7] due to the highly 3D nature of turbine hydrodynamic flow due to blade and strut joint and blade tip losses [8]. Numerical simulations are also commonly performed using fully turbulent models [4][5][6][7][8], again due to their computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

The influence of turbulence model and two and three-dimensional domain selection on the simulated performance characteristics of vertical axis tidal turbines

et al. 2017

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ABSTRACT:The influence of Computational Fluid Dynamics (CFD) modeling techniques on the accuracy of vertical axis turbine power output predictions was investigated. Using Two-Dimensional (2D) and Three-Dimensional (3D) models, as well as the Baseline-Reynolds Stress Models (BSL-RSM) model and the k-ω Shear Stress Transport (k-ω SST) model in its fully turbulent and laminar-to-turbulent formulation, differences in power output modeling accuracy were evaluated against experimental results from literature. The highest correlation with experimental power output was found using a 3D domain model that fully resolved the boundary layer combined with the k-ω SST laminar-to-turbulent model. The turbulent 3D fully resolved boundary layer k-ω SST model also accurately predicted power output for most rotational rates, at a significantly reduced computational cost when compared to its laminar-to-turbulent formulation. The 3D fully resolved BSL-RSM model and 3D wall function boundary layer k-ω SST model were found to poorly simulate power output. Poor output predictions were also obtained using 2D domain k-ω SST models, as they were unable to account for blade tip and strut effects. The authors suggest that 3D domain fully turbulent k-ω SST models with fully resolved boundary layer modeling are used for predicting turbine power output given their accuracy and computational efficiency.  2D CFD models cannot capture blade tip and strut effects resulting in poor power output simulation accuracy  3D CFD models can now accurately capture turbine power output without excessive computation requirements  The k-ω SST turbulence models provide the closest agreement with experimental results  Transition flow modeling is computationally demanding and only increases simulation accuracy at high rotational rates when compared to fully turbulent models  BSL-RSM and k-ω SST Wall Function models poorly simulate power output

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Development of hydrokinetic energy technology: A review

Sood

Singal

2019

Int J Energy Res

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Summary The drastic change in climatic conditions has led to shift towards the review of sustainable strategies in the renewable energy sector. Hydrokinetic technology has various benefits over the conventional methods, which can be helpful in achieving the desired sustainable development. In the present study, an outline for the conversion of hydrokinetic energy along with its challenges has been discussed. The study comprises of three steps involving collection of properties required for site characterization followed by selection of the suitable hydrokinetic device as per the site characteristics and the determination of impact on the flow condition due to device installation. The characteristics of the site govern the selection of the device, its mooring arrangements, and augmentation. The arrangement of devices as a single unit or in an array will have an impact on the flow conditions. The altered flow condition will in turn affect and change the characteristics of the site. This three‐step process is interlinked and will have a cumulative impact on the environment. The influence of environmental impact and cost of energy, which are the two major factors for the success of this technology, are also discussed. Further, various challenges faced by hydrokinetic technology in its development are explored. It is concluded that only the optimization of a hydrokinetic device for its efficiency improvement will not be fruitful until its impact on flow condition is considered for optimization.

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Influence of duct geometry on the performance of Darrieus hydroturbine

Cited by 65 publications

References 12 publications

Three-dimensional numerical simulations of straight-bladed vertical axis tidal turbines investigating power output, torque ripple and mounting forces

Three-dimensional numerical simulations of straight-bladed vertical axis tidal turbines investigating power output, torque ripple and mounting forces

The influence of turbulence model and two and three-dimensional domain selection on the simulated performance characteristics of vertical axis tidal turbines

Development of hydrokinetic energy technology: A review

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