CFD aerodynamic analysis of non-conventional airfoil sections for very large rotor blades

Papadakis, G.; Voutsinas, Spyros G.; Sieros, Giorgos; Chaviaropoulos, T.

doi:10.1088/1742-6596/555/1/012104

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…The latter are obtained from the MaPFlow code of the Lab. of Aerodynamics, NTUA [22] and the GPU-enabled PUMA code (incompressible flow solver) of the Parallel CFD & Optimization Unit, NTUA [12]. All CFD results are in very good agreement.…”

Section: Flow Solver Verificationmentioning

confidence: 88%

Aerodynamic Shape Optimization of the Mexico Wind Turbine Blade Using the Continuous Adjoint Method

Papoutsis‐Kiachagias¹,

Farhikhteh²,

Skamagkis³

et al. 2021

14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control

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This paper presents the aerodynamic shape optimization of the MEXICO wind turbine (WT) blade, targeting the maximization of the axial moment and, hence, of the produced power. The optimization is conducted using the OpenFOAM-based continuous adjoint solver named adjointOptimisationF oam, developed and made publicly available by the group of authors. This implements and solves the adjoint to the Navier-Stokes system of equations, coupled with the differentiation of the Spalart-Allmaras turbulence model. Herein, this was extended to include the adjoint to the flow equations which are solved for the absolute velocity in the relative reference frame. Challenges in the convergence of the adjoint equations, mostly attributed to flow unsteadiness causing marginal convergence of the steady flow solver, are treated by additionally implementing the Recursive Projection Method (RPM). Assessment of the adjoint sensitivities with finite differences in a similar 2D case is also included. Then, the flow solution for the MEXICO WT case is compared with the outcome of another CFD solvers and experimental data, prior to the application of the expanded optimization software to maximize the axial moment of the WT. The blade and the displacement of the surrounding grid nodes are parameterized using a volumetric B-Splines morphing box. The optimization designed a blade bended in the axial direction axial moment, having a higher by 10.8%.

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Section: Flow Solver Verificationmentioning

confidence: 88%

Aerodynamic Shape Optimization of the Mexico Wind Turbine Blade Using the Continuous Adjoint Method

Papoutsis‐Kiachagias¹,

Farhikhteh²,

Skamagkis³

et al. 2021

14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control

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show abstract

“…Given that the study is focused on the estimation of integral quantities such as forces, rather than on the detailed description of the flow properties in terms of local distributions, simulations were performed using the default turbulence settings of the numerical code, avoiding the calibration of the model coefficients (www.openfoam.org). Different turbulence models are adopted in literature for the study of air flows past bluff bodies (Eriksson, 2007;Mansoorzadeh and Javanmard, 2014;Papadakis et al, 2014) and for simulating free-surface flows around structures (Losada et al, 2005;Prasad et al, 2015) or flood waves (Ozmen-Cagatay et al, 2014). Moreover, the lack of detailed experimental data does not allow an ad hoc calibration of the coefficients.…”

Section: Model Set-upmentioning

confidence: 99%

Drag and lift contribution to the incipient motion of partly submerged flooded vehicles

Arrighi

Alcérreca‐Huerta

Oumeraci

et al. 2015

Journal of Fluids and Structures

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“…A series of different flow solvers were used: RFOIL/XFOIL [12,13], the in-house viscous/inviscid method Q3UIC [14] the compressible CFD solvers WMB [15,16] and MapFlow by NTUA [21] and the incompressible CFD solver EllipSys2D [19,20]. For the transitional computations the transition modeling was based on the e N model [19,20].…”

Section: B Modelling Of 2d Airfoil Characteristicsmentioning

confidence: 99%

“…For Parts B and C of the test matrix, operational conditions of the AVATAR and INNWIND RWTs have been used. [21,22] applies the Bay model [23] with the Spalart Almaras (SA) turbulence model. The presence of the VGs is sensed through body forces that enter as source terms in the equations.…”

Section: B Cfd and Experimental Database Of Flow Devices On 2d Airfomentioning

confidence: 99%

AVATAR: AdVanced Aerodynamic Tools of lArge Rotors

Schepers

Ceyhan

Savenije

et al. 2015

33rd Wind Energy Symposium

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An EERA (European Energy Research Alliance) consortium started an ambitious EU FP7 project AVATAR (AdVanced Aerodynamic Tools of lArge Rotors) in November 2013. The project lasts 4 years and is carried out in a consortium with 11 research institutes and two industry partners. The motivation for the AVATAR project lies in the fact that future 10 to 20 MW turbine design model analysis will importantly violate known validity limits of today's aerodynamic and aero-elastic models in aspects like compressibility and Reynolds number effects, laminar/turbulent transition and separation effects, all in combination with a much more complex fluid-structure interaction. Further complications enter by the possible use of active or passive flow devices. AVATAR's main aim is then to develop enhancements for aerodynamic and aero-elastic models suitable for large (10MW+) wind turbines analysis. The turbine modelling improvements will be demonstrated on a new 10MW reference turbine design model description. The first results from the AVATAR project are presented in this paper.

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CFD aerodynamic analysis of non-conventional airfoil sections for very large rotor blades

Cited by 6 publications

References 2 publications

Aerodynamic Shape Optimization of the Mexico Wind Turbine Blade Using the Continuous Adjoint Method

Aerodynamic Shape Optimization of the Mexico Wind Turbine Blade Using the Continuous Adjoint Method

Drag and lift contribution to the incipient motion of partly submerged flooded vehicles

AVATAR: AdVanced Aerodynamic Tools of lArge Rotors

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