A new perspective on the aerodynamic performance and power limit of crosswind kite systems

Kheiri, Mojtaba; Nasrabad, Vahid Saberi; Bourgault, F.

doi:10.1016/j.jweia.2019.04.010

Cited by 15 publications

(9 citation statements)

References 10 publications

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“…v rel = (1 − 1/3) × 12.5 = 8.33 m/s) becomes exactly the same as the inlet flow velocity considered in the CFD simulations. It is further assumed that the kite would fly such that the aerodynamic efficiency, defined as χ = C L (C L /C D ) 2 [11], reaches the optimal value of χ = 1.23 × (1.23/0.1074) 2 = 161.3 and that there is no induction. The optimal value of χ may be calculated using tables for the lift and drag coefficients of Clark Y airfoil section versus angle of attack (with the Reynolds number of Re ≈ 20 × 10 6 ), which have been corrected for the effects of a finite aspect ratio; see [42,Chapter 5].…”

Section: Cfd Simulation Set-upmentioning

confidence: 99%

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Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems

Kheiri¹,

Victor²,

Rangriz³

et al. 2022

Preprint

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This paper presents some results from a computational fluid dynamics (CFD) model of a multi-megawatt crosswind kite spinning on a circular path in a straight downwind configuration. The unsteady Reynolds averaged Navier-Stokes equations closed by the k−ω SST turbulence model are solved in the three-dimensional space using ANSYS Fluent. The flow behaviour is examined at the rotation plane, and the overall (or global) induction factor is obtained by getting the weighted average of induction factors on multiple annuli over the swept area. The wake flow behaviour is also discussed in some details using velocity and pressure contour plots. In addition to the CFD model, an analytical model for calculating the average flow velocity and radii of the annular wake downstream of the kite is developed. The model is formulated based on the widely-used Jensen’s model (Technical Report Risø-M; No. 2411, 1983), which was developed for conventional wind turbines, and thus has a simple form. Expressions for the dimensionless wake flow velocity and wake radii are obtained by assuming self-similarity of flow velocity and linear wake expansion. Comparisons are made between numerical results from the analytical model and those from the CFD simulation. The level of agreement was found to be reasonably good. Such computational and analytical models are indispensable for kite farm layout design and optimization, where aerodynamic interactions between kites should be considered.

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Section: Cfd Simulation Set-upmentioning

confidence: 99%

“…However, several researchers have attempted to include such effects in the aerodynamic modelling of CKPSs. Some examples are the works of [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems

Kheiri¹,

Victor²,

Rangriz³

et al. 2022

Preprint

Self Cite

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“…In another study, Kheiri et al [8,9,10], generalize the classical actuator disc theory to the application of airborne wind energy systems. In this paper, the actuator disc theory was extracted and used in crosswind kite power systems in the straight downwind configuration.…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of a tethered-glider for generating electrical-renewable energy using the pumping cycle method

2022

IJM

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The issue of energy generation from wind is considered one of the main ways to develop renewed energy in some areas worldwide. The important point in generating energy from wind is the permanent wind availability, which is called the existence of effective wind. According to studies, there is no effective wind at ground level in many areas of the world, while this wind is available at altitude. The Accessibility of wind in altitude has led to the development of various technologies in energy production from airborne systems. In this research, airborne wind energy systems technologies have been investigated, and a tethered-glider was designed and analyzed using analytical methods for energy generation at a 200-meter altitude. The main factor in designing a glider is the optimal ratio of lift to drag coefficient; For calculating lift to drag coefficient, the vortex lattice method (VLC) is used in this paper. The results illustrate that a glider with a wingspan of 5.2 meters can produce a maximum of 10 kilowatts of energy over one cycle. Increasing this ratio can increase energy production efficiency.

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“…Reaching high lift coefficients is important to maximize the performance. High‐fidelity models and flight simulators 7‐12 also play an important role during the design and optimization phases of the machines. Pioneering aerodynamic models 13‐15 have been followed by studies with viscous‐inviscid interaction methods, 16 Reynolds averaged Navier–Stokes simulations, 17,18 and large eddy simulations 19 .…”

Section: Introductionmentioning

confidence: 99%

“…Reaching high lift coefficients is important to maximize the performance. High-fidelity models and flight simulators [7][8][9][10][11][12] also play an important role during the design and optimization phases of the machines.…”

mentioning

confidence: 99%

Identification of kite aerodynamic characteristics using the estimation before modeling technique

et al. 2021

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The aerodynamic characteristics of a leading edge inflatable (LEI) kite and a rigid‐framed delta (RFD) kite were investigated. Flight data were recorded by using an experimental setup that includes an inertial measurement unit, a GPS, a magnetometer, and a multi‐hole Pitot tube onboard the kites, load cells at every tether, and a wind station that measures the velocity and heading angle of the wind. These data were used to feed a flight path reconstruction algorithm that estimated the full state vector of the kite. Since the latter includes the aerodynamic force and moment about the center of mass of the kite, quantitative information about the aerodynamic characteristics of the kites was obtained. Due to limitation of the experimental setup, the LEI kite flew most of the time in post‐stall conditions, which resulted in a poor maneuverability and data acquisition. This assumption was corroborated by a particular maneuver where the lift coefficient decreased from 1 to 0.4, while its angle of attack increased from 35° to 50°. On the contrary, abundant flight data were obtained for the RFD kite during more than 10 figure‐eight maneuvers. Although the angle of attack was high, between 20° and 40°, the kite did not reach its maximum lift coefficient. High tether tensions and a good maneuverability were achieved. Statistical analysis of the behavior of the lift, drag, and pitch moment coefficients as a function of the angle of attack and the sideslip angle allowed to identify some basic aerodynamic parameters of the kite.

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A new perspective on the aerodynamic performance and power limit of crosswind kite systems

Cited by 15 publications

References 10 publications

Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems

Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems

Design and analysis of a tethered-glider for generating electrical-renewable energy using the pumping cycle method

Identification of kite aerodynamic characteristics using the estimation before modeling technique

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