Ducted Wind Turbine Optimization

Venters, Ravon; Helenbrook, Brian T.; Visser, Kenneth D.

doi:10.2514/6.2016-3729

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…However, the results for effect of the rotor gap and axial position of rotor were not conclusive. This paper improves on the work of Venters et al (2017) with a more accurate CFD model, a direct optimization technique, and a wider range of design variables. One of the goals of this study is to continue the investigation of Venters et al (2017) into 30 how the objective of the optimization changes the optimal design.…”

mentioning

confidence: 99%

“…This paper improves on the work of Venters et al (2017) with a more accurate CFD model, a direct optimization technique, and a wider range of design variables. One of the goals of this study is to continue the investigation of Venters et al (2017) into 30 how the objective of the optimization changes the optimal design. Specifically, Venters et al (2017) examined two objective function, the rotor power coefficient and the total power coefficient.…”

mentioning

confidence: 99%

“…One of the goals of this study is to continue the investigation of Venters et al (2017) into 30 how the objective of the optimization changes the optimal design. Specifically, Venters et al (2017) examined two objective function, the rotor power coefficient and the total power coefficient. Their results indicated that the optimal design changes significantly depending on the objective function, but the results optimizing the total power coefficient did not converge to an optimal solution.…”

mentioning

confidence: 99%

“…Venters et al (2017) investigated the optimal design of a DWT using the same approach (i.e. using a RANS solver and actuator disc model).…”

mentioning

confidence: 99%

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Ducted Wind Turbine Optimization and Sensitivity to Rotor Position

Bagheri-Sadeghi¹,

Helenbrook²,

Visser³

2017

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Abstract. The design of a ducted wind turbine modeled using an actuator disc was studied using RANS CFD simulations. The design variables included the rotor thrust coefficient, the angle of attack of the duct cross-section, the radial gap between the rotor and the duct, and the axial location of the rotor in the duct. Two different power coefficients, the rotor power coefficient (based on the rotor swept area) and the total power coefficient (based on the exit area of the duct) were used as optimization objectives. The optimal value of thrust coefficients for all designs was nearly constant having a value between 0.9 and 1. 5The rotor power coefficient was sensitive to rotor gap but was insensitive to the rotor's axial location for positions ranging from upstream of the throat to nearly half the distance down the duct. Compared to the design that maximized rotor power coefficient, the design for maximal total power coefficient was characterized by a smaller angle of attack, a smaller rotor gap and a downstream placement of the rotor. The insensitivity of power output to the rotor position implies that a rotor placed further downstream in the duct could produce the same power with a considerably smaller duct exit area and thus a greater total 10 power coefficient. The design for that maximized total power coefficient exceeded Betz's limit with a total power coefficient of 0.67.

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mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

“…Venters et al (2017) investigated the optimal design of a DWT using the same approach (i.e. using a RANS solver and actuator disc model).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Ducted Wind Turbine Optimization and Sensitivity to Rotor Position

Bagheri-Sadeghi¹,

Helenbrook²,

Visser³

2017

Preprint

Self Cite

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Wind Tunnel Probe Into an Array of Small-Scale Horizontal-Axis Wind Turbines Operating at Low Tip Speed Ratio Conditions

Siram

Kumar

Saha

et al. 2022

Journal of Energy Resources Technology

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In recent times, the small wind farms consisting of small-scale horizontal-axis wind turbines (SHAWTs) have emerged as a suitable candidate for electric power generating system. In view of this, an experimental study on the arrays of two SHAWTs has been performed in a wind tunnel to find the individual/combined performance(s) along with the downstream wake assessment. The rotor blades composed of Eppler E216 airfoil and of radius (=120 mm) are designed using the blade element momentum theory. The operational limit of tip speed ratio (λ) is kept between 0.5 and 6. The upstream turbine (UsT) is capable to produce a maximum power coefficient (Cpmax) of 0.30 at a wind speed U=8 m/s, whereas at the same wind speed, the downstream turbine (DsT) produces Cpmax values of 0.12, 0.13, and 0.15 when installed at a distance of 6R, 8R and 10R from the UsT, respectively. Another notable feature is the change in operational limit of λ for DsT due to the wake of UsT. The streamwise velocity measurement at the different downstream locations of UsT shows the formation of W-shape velocity deficit within the near wake regime that loses its shape as the distance downstream goes beyond 12R due to ~60-70% flow recovery.

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