Estimation of the Lift-to-Drag Ratio Using the Lifting Line Method: Application to a Leading Edge Inflatable Kite

Leloup, Richard; Roncin, Kostia; Blès, G.; Leroux, Jean-Baptiste; Jochum, Christian; Parlier, Yves

doi:10.1007/978-3-642-39965-7_19

Cited by 18 publications

(26 citation statements)

References 11 publications

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“…2. As demonstrated by Leloup et al (2012Leloup et al ( , 2013a) the projection of Eq. (3) onto the corresponding axes and by scalar product with z k0 :…”

Section: Kite Velocity Based On the Zero Mass Modelling Approachmentioning

confidence: 74%

“…Furthermore, Naaijen et al (2006Naaijen et al ( , 2010 developed a performance prediction programme dedicated to a merchant ship to assess fuel saving capabilities of a kite. The present study is inspired from previous works (Leloup, 2013a) which integrated an aerodynamic kite model within the zero mass model. This model also allowed to predict fuel saving on a 60,000 dwt tanker (Leloup et al, 2013b).…”

Section: Introductionmentioning

confidence: 97%

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Kite and classical rig sailing performance comparison on a one design keel boat

et al. 2014

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“…2. As demonstrated by Leloup et al (2012Leloup et al ( , 2013a) the projection of Eq. (3) onto the corresponding axes and by scalar product with z k0 :…”

Section: Kite Velocity Based On the Zero Mass Modelling Approachmentioning

confidence: 74%

Section: Introductionmentioning

confidence: 97%

Kite and classical rig sailing performance comparison on a one design keel boat

et al. 2014

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“…In more recent studies, nonlinear VLM has frequently been proposed for the calculation of aerodynamics of kites. Leloup et al present a lifting‐line method, which differs from the vortex‐lattice methods in placing the collocation points directly on the lifting line . However, no nonlinear aerofoil behaviour is employed, besides the evaluation of the drag coefficient due to the effective angle of attack and Reynolds number, which then is subsequently utilised to derive the glide ratio.…”

Section: Computational Modelmentioning

confidence: 99%

Structural analysis and optimization of a tethered swept wing for airborne wind energy generation

Candade

Ranneberg

Schmehl³

2020

Wind Energy

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In this paper, we present an aero‐structural model of a tethered swept wing for airborne wind energy generation. The carbon composite wing has neither fuselage nor actuated aerodynamic control surfaces and is controlled entirely from the ground using three separate tethers. The computational model is efficient enough to be used for weight optimisation at the initial design stage. The main load‐bearing wing component is a nontypical “D”‐shaped wing‐box, which is represented as a slender carbon composite shell and further idealised as a stack of two‐dimensional cross section models arranged along an anisotropic one‐dimensional beam model. This reduced 2+1D finite element model is then combined with a nonlinear vortex step method that determines the aerodynamic load. A bridle model is utilised to calculate the individual forces as a function of the aerodynamic load in the bridle lines that connect the main tether to the wing. The entire computational model is used to explore the influence of the bride on the D‐box structure. Considering a reference D‐box design along with a reference aerodynamic load case, the structural response is analysed for typical bridle configurations. Subsequently, an optimisation of the internal geometry and laminate fibre orientations is carried out using the structural computation models, for a fixed aerodynamic and bridle configuration. Aiming at a minimal weight of the wing structure, we find that for the typical load case of the system, an overall weight savings of approximately 20% can be achieved compared with the initial reference design.

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“…Despite the fact that the idea of using tethered aircraft for wind power generation appeared for the first time in the late 1970s, it is only in the last decade that academia and industry made substantial progress in turning the idea into a practical implementation. The postponement of AWE technology is mainly due to the significant complexities in terms of control, modeling, identification, materials, mechanics, and power electronics . Furthermore, these systems need to fulfill high level of reliability while simultaneously operating close to optimality.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic model identification of an autonomous aircraft for airborne wind energy

Licitra

Bürger

Williams³

et al. 2019

Optim Control Appl Methods

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Summary Airborne wind energy (AWE) refers to a novel technology capable of harvesting energy from wind by flying crosswind patterns with tethered autonomous aircraft. Successful design of flight controllers for AWE systems relies on the availability of accurate mathematical models. Due to an expected nonconventional structure of the airborne component, the system identification procedure must be ultimately addressed via an intensive flight test campaign to gain additional insight about the aerodynamic properties. In this paper, the longitudinal dynamics of a rigid‐wing, high lift, autonomous aircraft for AWE are identified from experimental data obtained within flight tests. The aerodynamic characteristics are estimated via an efficient time‐domain multiple experiments model‐based parameter estimation algorithm.

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Estimation of the Lift-to-Drag Ratio Using the Lifting Line Method: Application to a Leading Edge Inflatable Kite

Cited by 18 publications

References 11 publications

Kite and classical rig sailing performance comparison on a one design keel boat

Kite and classical rig sailing performance comparison on a one design keel boat

Structural analysis and optimization of a tethered swept wing for airborne wind energy generation

Aerodynamic model identification of an autonomous aircraft for airborne wind energy

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