Aerodynamic Design of the 13.2 MW SUMR-13i Wind Turbine Rotor

Ananda, Gavin K.; Bansal, Suraj; Selig, Michael S.

doi:10.2514/6.2018-0994

Cited by 22 publications

(40 citation statements)

References 12 publications

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“…The blade was designed to enable segmentation, ultralight design, and a morphing rotor; we refer to this design as the SUMR-13A. The initial aerodynamic design is presented in Ananda et al (2018). We have slightly modified the initial design to have a downwind cone angle of 5 deg.…”

Section: Baseline Models and Design Directionmentioning

confidence: 99%

System-level design studies for large rotors

Zalkind¹,

Ananda²,

Chetan³

et al. 2019

Preprint

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Abstract. We examine the effect of rotor design choices on the power capture and structural loading of each major wind turbine component. A steady-state, harmonic model derived from simulations using the NREL aeroelastic code FAST is developed to reduce computational expense while evaluating design trade-offs for rotors with radii greater than 100 m. Design studies are performed, which focus on blade aerodynamic and structural parameters as well as different hub configurations and nacelle placements atop the tower. The effects of tower design and closed-loop control are also analyzed. Design loads are calculated according to the IEC design standards and used to calibrate the harmonic model and quantify uncertainty. Our design studies highlight both industry trends and innovative designs: we progress from a conventional, upwind, 3-bladed rotor, to a rotor with longer, more slender blades that is downwind and 2-bladed. For a 13 MW design, we show that increasing the blade length by 25 m while decreasing the induction factor of the rotor increases annual energy capture by 11 % while constraining peak blade loads. A downwind, 2-bladed rotor design is analyzed, with a focus on its ability to reduce peak blade loads by 10 % per 5 deg. of cone angle, and also reduce total blade mass. However, when compared to conventional, 3-bladed, upwind designs, the peak main bearing load of the up-scaled, downwind, 2-bladed rotor is increased by 280 %. Optimized teeter configurations and individual pitch control can reduce non-rotating damage equivalent loads by 45 % and 22 %, respectively, compared with fixed-hub designs.

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Section: Baseline Models and Design Directionmentioning

confidence: 99%

System-level design studies for large rotors

Zalkind¹,

Ananda²,

Chetan³

et al. 2019

Preprint

Self Cite

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show abstract

“…Future work to be completed includes the field testing of the LPV controller as applied to the National Wind Technology Center's CART2 turbine with the SUMR-D rotor, application of the controller on the extreme scale SUMR-13i rotor Ananda et al (2018), application of the controller on additional extreme-scale segmented ultra-light morphing rotors, and the design and optimization of an above-rated pitch controller, which will focus on the reduction of out-of-plane loads.…”

Section: Discussionmentioning

confidence: 99%

“…Controller performance evaluation was conducted as applied to the Segmented Ultra-light Morphed Rotor -Demonstrator (SUMR-D). This rotor is a Gravo-Aeroelasticly Scaled (GAS) model (Loth et al, 2018;Kaminski et al, 2018) of the 100meter blade SUMR-13i (Ananda et al, 2018;Martin et al, 2017;Martin and Zalkind, 2016;Zalkind et al, 2017) down-wind, two-bladed rotor with a pre-aligned rotor (Loth et al, 2017). This scaling method aims to fully capture the key dynamics of the full-scale model with an emphasis on matching the non-dimensional flapping frequency, moment ratios, flapping tip deflection and design tip speed ratio.…”

Section: Turbine Descriptionmentioning

confidence: 99%

Optimal Output Feedback <i>H</i><sub>∞</sub> Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model

Martin

Johnson

Bay

et al. 2018

Preprint

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Abstract. Wind turbines are nonlinear, time-varying systems that are subject and sensitive to model parameter variations and a stochastic wind field. For such applications, Linear Parameter Varying (LPV) control provides a state-space approach to designing nonlinear controllers with robust performance. LPV uses multi-input multi-output (MIMO) model with a guaranteed limit on the exogenous disturbance's gain with respect to performance signals. A robust matrix inequality synthesis of an H∞ based performance LPV controller using a parametrically varying model will be developed with the goal of obtaining a torque controller with drive-train damping properties. The technique guarantees a-priori performance values and closed-loop stability for the simplified model, and provides a systematic tuning procedure to adjust controller performance.

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“…Three wind turbines will be discussed herein: the UAE, the NREL5, and the SUMR13 turbine . The UAE wind turbine is a 20‐kW test turbine and will represent a small‐scale wind turbine.…”

Section: Methodsmentioning

confidence: 99%

“…Three wind turbines will be discussed herein: the UAE, 20 the NREL5, 22 and the SUMR13 turbine. 35 The UAE wind turbine is a 20-kW test turbine and will represent a small-scale wind turbine. The NREL5 is a downwind modification of a reference wind turbine developed by NREL and will be representative of utility-scale wind turbines.…”

Section: Turbine Descriptionsmentioning

confidence: 99%

Tower shadow induced blade loads for an extreme‐scale downwind turbine

2019

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The downwind rotor configuration provides a structural advantage compared with an upwind design. However, tower shadow has long been a concern for downwind systems. The tower shadow negatively affects the blade by introducing a load impulse during the wake passage. An aerodynamic fairing could shroud the tower reducing the wake. However, there is no clear consensus on the importance of a tower shadow for utility-scale wind turbines. Simulations were conducted in FAST to determine the general parameters that influence the importance of the tower shadow effect for the differently sized wind turbines. The lock number of the blade was a significant driving quantity. Lower lock numbers (typical of small-scale wind turbines) lead to greater relative fatigue damage from tower shadow effects. It was determined that a fairing is very helpful for small-scale wind turbines operating in a lowturbulence environment (such as a subscale wind tunnel test). However, the tower shadow increased the damage equivalent loading on an extreme scale blade by less than 5% in a turbulent environment. These results indicate that the cost of a tower fairing is likely unnecessary for utility-scale wind turbines in operation. K E Y W O R D Stower fairing, tower shadow effect, shroud, wake model

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Aerodynamic Design of the 13.2 MW SUMR-13i Wind Turbine Rotor

Cited by 22 publications

References 12 publications

System-level design studies for large rotors

System-level design studies for large rotors

Optimal Output Feedback <i>H</i><sub>∞</sub> Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model

Tower shadow induced blade loads for an extreme‐scale downwind turbine

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Aerodynamic Design of the 13.2 MW SUMR-13i Wind Turbine Rotor

Cited by 22 publications

References 12 publications

System-level design studies for large rotors

System-level design studies for large rotors

Optimal Output Feedback &lt;i&gt;H&lt;/i&gt;&lt;sub&gt;∞&lt;/sub&gt; Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model

Tower shadow induced blade loads for an extreme‐scale downwind turbine

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Optimal Output Feedback <i>H</i><sub>∞</sub> Torque Control of a Wind Turbine Rotor using a Parametrically Scheduled Model