Abstract

The validity of using a low-computational-cost model for the aerodynamic characterization of Airborne Wind Energy Systems was studied by benchmarking a three-dimensional Unsteady Panel Method (UnPaM) with experimental data from a flight test campaign of a two-line Rigid-Framed Delta kite. The latter, and a subsequent analysis of the experimental data, provided the evolution of the tether tensions, the full kinematic state of the kite (aerodynamic velocity and angular velocity vectors, among others), and its aerodynamic coefficients. The history of the kinematic state was used as input for UnPaM that provided a set of theoretical aerodynamic coefficients. Disparate conclusions were found when comparing the experimental and theoretical aerodynamic coefficients. For a wide range of angles of attack and sideslip angles, the agreement in the lift and lateral force coefficients was good and moderate, respectively, considering UnPaM is a potential flow tool. As expected, UnPaM predicts a much lower drag because it ignores viscous effects. The comparison of the aerodynamic torque coefficients is more delicate due to uncertainties on the experimental data. Besides fully non-stationary simulations, the lift coefficient was also studied with UnPaM by assuming quasi-steady and steady conditions. It was found that for a typical figure-of-eight trajectory there are no significant differences between unsteady and quasi-steady approaches allowing for fast simulations.

Highlights

  • Airborne Wind Energy (AWE) systems constitute a relatively recent technology to harvest energy and produce traction from high-altitude winds

  • The experimental setup consisted of: (1) the two-line Rigid-Framed Delta (RFD) kite equipped with onboard sensors: inertial measurement units (IMU), Global Navigation Satellite System (GNSS) and an AeroprobeTM micro Air Data System V2.0 composed of an onboard computer and a multi-hole pitot tube that was responsible for measuring the kite True AirSpeed (TAS), Angle of Attack (α), and SideSlip Angle (β); (2) a ground station for wind direction and magnitude measurements; and (3) load cells placed at each line of the kite to directly measure the tether tensions

  • In order to obtain an idea of the unsteady effects in the flight of the RFD kite, we present three different types of results: (i) unsteady results obtained by implementing the methodology explained in Section 2.2, (ii) quasi-steady results obtained such as in (i) but ignoring the second term in Equation (8) and eliminating the roll-up of the wake by forcing the geometry of its panels, and (iii) steady results obtained such as in (ii) but setting ωBW = 0

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Summary

Introduction

Airborne Wind Energy (AWE) systems constitute a relatively recent technology to harvest energy and produce traction from high-altitude winds. The experimental setup consisted of: (1) the two-line RFD kite equipped with onboard sensors: IMU, GNSS and an AeroprobeTM micro Air Data System V2.0 composed of an onboard computer and a multi-hole pitot tube that was responsible for measuring the kite True AirSpeed (TAS), Angle of Attack (α), and SideSlip Angle (β); (2) a ground station for wind direction and magnitude measurements; and (3) load cells placed at each line of the kite to directly measure the tether tensions The latter three sets of measurements constitute the observation model that, together with the process equation, constitute the discrete and continuous parts of the filter, respectively For further details of UnPaM’s algorithm, a self-explanatory high-level flowchart of UnPaM is presented in Appendix A

Aerodynamic Mesh
Kinematic Module of UnPaM
Force and Moment Coefficients Computation with UnPaM
Comparison of Numerical and Experimental Results
Analysis of the Potential Flow
Findings
Conclusions
Full Text
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