Fast trailed and bound vorticity modeling of swept wind turbine blades

Li, Ang; Pirrung, Georg Raimund; Madsen, Helge Aagaard; Gaunaa, Mac; Zahle, Frederik

doi:10.1088/1742-6596/1037/6/062012

Cited by 18 publications

(38 citation statements)

References 6 publications

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“…The MIRAS and the NW results both show decreased mean AOA inboard of the tip and an increased AOA on the tip itself. This is likely due to a load redistribution due to two factors: the offset of the trailed vorticity at the very blade tip and the velocity induced by the curved bound vorticity on the tip extension, Li (2018). In the standard deviation of the AOA (right plot of Figure 18) it can be seen that all codes predict the standard deviation to increase on the tip extension compared to the outboard part of the baseline blade.…”

Section: Evaluation Of Optimized Designmentioning

confidence: 94%

Surrogate based aeroelastic design optimization of tip extensions on a modern 10MW wind turbine

Barlas¹,

Ramos‐García²,

Pirrung³

et al. 2020

Preprint

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Abstract. Advanced aeroelastically optimized tip extensions are among rotor innovation concepts which could contribute to higher performance and lower cost of wind turbines. A novel design optimization framework for wind turbine blade tip extensions, based on surrogate aeroelastic modeling is presented. An academic wind turbine is modelled in an aeroelastic code equipped with a near wake aerodynamic module, and tip extensions with complex shapes are parametrized using 11 design variables. The design space is explored via full aeroelastic simulations in extreme turbulence and a surrogate model is fitted to the data. Direct optimization is performed based on the surrogate model, seeking to maximize the power of the retrofitted turbine within the ultimate load constraints. The presented optimized design achieves a load neutral gain of up to 6 % in annual energy production. Its performance is further evaluated in detail by means of the near wake model used for the generation of the surrogate model, and compared with a higher fidelity aerodynamic module comprising a hybrid filament-particle-mesh vortex method with a lifting-line implementation. A good agreement between the solvers is obtained at low turbulence levels, while differences in predicted power and flap-wise blade root bending moment grow with increasing turbulence intensity.

show abstract

Section: Evaluation Of Optimized Designmentioning

confidence: 94%

Surrogate based aeroelastic design optimization of tip extensions on a modern 10MW wind turbine

Barlas¹,

Ramos‐García²,

Pirrung³

et al. 2020

Preprint

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show abstract

“…In this type of blades, the curved bound vortex as well as the out of line trailing vorticity induces an additional velocity along the lifting line, which modifies the blade loading. MIRAS lifting line model has been modified to model curved blades following a similar approach to Li 27 …”

Section: Methodsmentioning

confidence: 99%

Aero‐hydro‐servo‐elastic coupling of a multi‐body finite‐element solver and a multi‐fidelity vortex method

2020

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The manuscript presents a novel aero‐hydro‐servo‐elastic coupling framework, MIRAS‐HAWC2. In this coupling, the wind turbine blades and rotor‐wake aerodynamics are modeled using a modified lifting‐line theory which accounts for blade curvature, combined with a hybrid vortex method. The wind turbine structure and foundation are modeled using a finite‐element and multi‐body system approach. Last, hydrodynamics are modeled using Airy wave theory together with Morison's equation. An initial assessment of the performance of the aeroelastic coupling framework has been performed for steady rotor‐only cases, assuming laminar inflow without shear. This included a comparison against fully resolved computational fluid dynamics, for both stiff and flexible blades showing an excellent agreement. In a second stage, the aero‐hydro‐servo‐elastic coupling is used, comparing MIRAS‐HAWC2 as well as blade‐element momentum‐based simulations with selected results from the Offshore Code Comparison Collaboration projects (OC3 and OC4), which study the NREL 5 MW turbine mounted on different offshore support structures. A good agreement has been obtained for the simulations of a monopile with rigid foundation, a tripod, and jacket support structures.

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“…The MIRAS and the NW results both show decreased mean AOA inboard of the tip and an increased AOA on the tip itself. This is likely due to a load redistribution due to two factors: the offset of the trailed vorticity at the very blade tip and the velocity induced by the curved bound vorticity on the tip extension (Li, 2018). In the standard deviation of the AOA (right plot of Fig.…”

Section: Evaluation Of Optimized Designmentioning

confidence: 97%

“…The aeroelastic simulations performed in the present work relied on the commercial software HAWC2 (Larsen, 2007). HAWC2 includes advanced features in the near-wake (NW) aerodynamic module implementation, providing the ability to accurately simulate complex tip shapes (Pirrung, 2016(Pirrung, , 2017Li, 2018;Madsen, 2020). In addition to the modified near-wake model to account for blade sweep, the coupled aerodynamic module in HAWC2 uses a non-planar vortex cylinder model (Branlard, 2017) to compute the effects of prebend and out-of-plane deformation on axial-and radialinduced velocity.…”

Section: Baseline Modelmentioning

confidence: 99%

“…The variables have been chosen in a way which enables a general blade stretching design capability. Their range is a result of many prior parametric studies, and it is limited to ensure the validity of the aerodynamic modeling Li, 2018). The 11 chosen variables and their extent in the design space are shown in Table 1, with all definitions being relative to the baseline blade.…”

Section: Tip Extension Parametrizationmentioning

confidence: 99%

See 1 more Smart Citation

Surrogate-based aeroelastic design optimization of tip extensions on a modern 10 MW wind turbine

Barlas

Ramos‐García²,

Pirrung

et al. 2021

Wind Energ. Sci.

View full text Add to dashboard Cite

Abstract. Advanced aeroelastically optimized tip extensions are among rotor innovation concepts which could contribute to the higher performance and lower cost of wind turbines. A novel design optimization framework for wind turbine blade tip extensions based on surrogate aeroelastic modeling is presented. An academic wind turbine is modeled in an aeroelastic code equipped with a near-wake aerodynamic module, and tip extensions with complex shapes are parametrized using 11 design variables. The design space is explored via full aeroelastic simulations in extreme turbulence, and a surrogate model is fitted to the data. Direct optimization is performed based on the surrogate model seeking to maximize the power of the retrofitted turbine within the ultimate load constraints. The presented optimized design achieves a load-neutral gain of up to 6 % in annual energy production. Its performance is further evaluated in detail by means of the near-wake model used for the generation of the surrogate model and compared with a higher-fidelity aerodynamic module comprising a hybrid filament-particle-mesh vortex method with a lifting-line implementation. A good agreement between the solvers is obtained at low turbulence levels, while differences in predicted power and flapwise blade root bending moment grow with increasing turbulence intensity.

show abstract

Fast trailed and bound vorticity modeling of swept wind turbine blades

Cited by 18 publications

References 6 publications

Surrogate based aeroelastic design optimization of tip extensions on a modern 10MW wind turbine

Surrogate based aeroelastic design optimization of tip extensions on a modern 10MW wind turbine

Aero‐hydro‐servo‐elastic coupling of a multi‐body finite‐element solver and a multi‐fidelity vortex method

Surrogate-based aeroelastic design optimization of tip extensions on a modern 10 MW wind turbine

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