Experimental and numerical analysis of the performance and wake of a scale–model horizontal axis marine hydrokinetic turbine

Javaherchi, Teymour; Stelzenmuller, Nick; Aliseda, Alberto

doi:10.1063/1.4999600

Cited by 16 publications

(16 citation statements)

References 12 publications

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“…Final time-averaged body forces has the same magnitude, but different sign to the lift and drag forces acting on each segment. This exclusion of the actual geometry of blades from numerical modeling of the turbine blades reduces computational costs even up to 100 times, while providing an accurate effect of the turbine far wake and turbine-turbine wake interaction [9,[18][19][20][21]. This makes the BEM a promising numerical method for the current work.…”

Section: Turbine Modeling: Bemmentioning

confidence: 99%

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

Radfar¹,

Panahi²

2020

Preprint

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Tidal stream energy, due to its high level of consistency and predictability, is one of the feasible and promising type of renewable energy for future development and investment. Applicability of Blade Element Momentum (BEM) method for modeling the interaction of turbines in tidal arrays has been proven in many studies. Apart from its well-known capabilities, yet there is scarcity of research using BEM for the modeling of tidal stream energy farms considering full scale rotors. In this paper, a real geographical site for developing a tidal farm in the southern coasts of Iran is selected. Then, a numerical methodology is validated and calibrated for the selected farm by analyzing array of turbines. A linear equation is proposed to calculate tidal power of marine hydrokinetic turbines. This methodology narrows down the wide range of turbine array configurations, reduces the cost of optimization and focuses on estimating best turbine arrangements in a limited number of positions.

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Section: Turbine Modeling: Bemmentioning

confidence: 99%

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

Radfar¹,

Panahi²

2020

Preprint

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“…Over the last decade, wind tunnel testing using smallscale models has been the main tool to experiment and analyze hydraulic turbines. Valuable information about the full-scale turbine is obtained from these experiments [1,5,18,30]. Although results from wind tunnel tests using smallscale turbines contain scale 1 and blockage 2 effects, they are more feasible than experimental testing with large turbines, which provides important aerodynamic information for the full-scale turbines [25].…”

Section: Introductionmentioning

confidence: 99%

On the upscaling approach to wind tunnel experiments of horizontal axis hydrokinetic turbines

Macias

Mendes

Oliveira

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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In this work, we proposed an upscaling methodology to extrapolate results from wind tunnel experiments with small-scale model to the full-size hydrokinetic turbine. Small-scale 1:20 wind tunnel experiments (Re ∼ 10 4), with a three-blade horizontal axis turbine, were carried out looking to identify the characteristic curves of a full-size turbine operating in water (Re ∼ 10 6). The lack of dynamic similarity due to unmatched Reynolds numbers is analyzed in the framework of blade element momentum theory arguments. A new semi-empirical power-law equation is achieved, uniquely based on the BEM theory which relates the power coefficients of model and full-size turbine to the Reynolds numbers and a power factor, specific to each turbine. Computational fluid dynamic CFD simulations for the same rotor geometry, simulating different runners with varying diameters from small-scale model to full-scale turbine are carried out to validate the upscaling arguments, and to verify the accuracy of the power coefficient curves predicted by proposed methodology.

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“…These high‐resolution laboratory investigations provide a robust dataset for assessing the ability of CFD models to predict turbine performance and wakes. Several RANS CFD models based on the RM1 turbine design have been developed to predict the performance of this turbine [20–22]. Results from these models showed a good match with results from blade element momentum (BEM) computations at optimum to higher tip speed ratio (TSR).…”

Section: Introductionmentioning

confidence: 99%

CFD study of blockage ratio and boundary proximity effects on the performance of a tidal turbine

Badshah¹,

VanZwieten

Badshah³

et al. 2019

IET Renewable Power Generation

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The effects of blockage ratio and boundary proximity on tidal turbine performance are quantified in this study using computational fluid dynamics (CFD). Reynold averaged Navier-Stokes (RANS) equations are solved using the commercial CFD code ANSYS CFX. Steady-state analyses are performed using a rotating frame of reference technique, and a shear stress transport turbulence model is used. Results from the numerical model are validated with experimental data. RANS CFD simulations are performed over tip speed ratios (TSRs) from 1 to 9. The simulation-based performance curve approximately match the experimental performance curve, with errors ranging from 4 to 9%. Blockage ratios from 0.02 to 0.19 are evaluated for a constant depth of two rotor diameters to study the effect of blockage on turbine performance. Results show that shaft power increased by 13 and 47% for TSRs of 5.11 and 9.05, respectively, when the blockage ratio increased from 0.02 to 0.19. Additionally, for these TSRs and blockage ratios the turbine thrust increased by 7 and 10%. The presence of a boundary layer resulted in a calculated thrust increases between 1.6 and 2.3% and power between 2.7 and 3.5% for the entire range of evaluated blockage ratios. Nomenclature A swept area of the rotor (m 2) C P turbine power coefficient C T turbine thrust coefficient P mechanical power generated by the turbine, W R turbine radius (m) V mean upstream flow velocity (m/s) Y + dimensionless wall distance ω blade tip angular velocity (rad/s) ρ density of water, (kg/m 3) programme developed a TCT design called RM1. This is a nonproprietary RM developed as a study object for open-source research [19]. Experiments using RM1 were conducted in the open channel of the University of Minnesota's St. Anthony Falls Laboratory (UMN-SAFL) [19]. These high-resolution laboratory

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Experimental and numerical analysis of the performance and wake of a scale–model horizontal axis marine hydrokinetic turbine

Cited by 16 publications

References 12 publications

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

On the upscaling approach to wind tunnel experiments of horizontal axis hydrokinetic turbines

CFD study of blockage ratio and boundary proximity effects on the performance of a tidal turbine

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