2022
DOI: 10.5194/wes-7-129-2022
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A computationally efficient engineering aerodynamic model for swept wind turbine blades

Abstract: Abstract. In this work, a computationally efficient engineering model for the aerodynamics of swept wind turbine blades is proposed for the extended blade element momentum (BEM) formulation. The model is modified based on a coupled near- and far-wake model, in which the near wake is assumed to be the first quarter revolution of the non-expanding helical wake of the own blade. For the special case of in-plane trailed vorticity, the original empirical equations determining the steady-state value of the near-wake… Show more

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Cited by 15 publications
(21 citation statements)
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References 27 publications
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“…One such approach is presented by Li et al 13 The employed model is based on the near wake model originally adapted for wind turbine applications by Madsen and Rasmussen 14 and further developed by Pirrung et al 15 It combines a lifting line representation of the near wake consisting of the first quarter revolution of the wake with a far wake BEM implementation. In their work, Li et al 13,16 extend this near wake model to be able to account for swept blade geometries. Contrary to BEM, the near wake model models the coupling of the solutions of multiple streamtubes.…”
Section: Introductionmentioning
confidence: 99%
“…One such approach is presented by Li et al 13 The employed model is based on the near wake model originally adapted for wind turbine applications by Madsen and Rasmussen 14 and further developed by Pirrung et al 15 It combines a lifting line representation of the near wake consisting of the first quarter revolution of the wake with a far wake BEM implementation. In their work, Li et al 13,16 extend this near wake model to be able to account for swept blade geometries. Contrary to BEM, the near wake model models the coupling of the solutions of multiple streamtubes.…”
Section: Introductionmentioning
confidence: 99%
“…The model was first proposed by Beddoes [17] and later introduced in a wind turbine context by Madsen et al in [18]. Further modifications to the model have been made by Pirrung et al [19,20] and Li et al [9,21]. The wake is separated into two regions, the near-wake (quarter rotation of the blade) and the far-wake.…”
Section: Near-wakementioning
confidence: 99%
“…The sum of both contributions results in the total induction. The near-wake model was further enhanced by the capability to model swept blades by Li et al [9]. Therefore, the trailing functions described in [19,20] are extended by a geometrical parameter that allows an analytical treatment of the sweep.…”
Section: Near-wakementioning
confidence: 99%
“…The resulting aeroelastically optimized tip maximizing power performance within load constraints, utilizing sweep (Fig. 1), achieved a 19.58 % increase in power with the baseline ultimate flapwise bending moment at the boom root and tip connection, when evaluated at an extreme turbulence case (class III-C) at 6 m s −1 in the aeroelastic code HAWC2 (Larsen and Hansen, 2007) using the near wake (NW) model (Madsen and Rasmussen, 2004;Pirrung et al, 2016Pirrung et al, , 2017aLi et al, 2022). Since the RTR is a powered setup, the local power changes cannot be translated to any meaningful full-scale turbine application, but are simply used in the design optimization herein.…”
Section: Tip Model Designmentioning
confidence: 99%
“…The coupling factor is calculated so that the rotor thrust is comparable to that computed with the BEM method (Andersen et al, 2010;Pirrung et al, 2016). The near-wake model was recently modified to model the blade sweep effects (Li et al, 2022), which also accounted for the curved bound vortex influence (Li et al, 2020). As for the BEM method, the unsteady airfoil aerodynamic model (Hansen et al, 2004;Pirrung and Gaunaa, 2018) is included for all load cases.…”
Section: Near-wake Aerodynamic Modelmentioning
confidence: 99%