Print Email Facebook Twitter Aerodynamic Load Modelling for Leading Edge Inflatable Kites Title Aerodynamic Load Modelling for Leading Edge Inflatable Kites Author Watchorn, John (TU Delft Aerospace Engineering) Contributor Viré, A.C. (mentor) Schmehl, R. (graduation committee) van Zuijlen, A.H. (graduation committee) Degree granting institution Delft University of Technology Corporate name Delft University of Technology Programme Aerospace Engineering Date 2023-08-29 Abstract The purpose of this study has been to develop an aerodynamic load model for the energy harvesting (traction) phase of leading-edge inflatable (LEI) kites operating in an airborne wind energy (AWE) context. The load model stems from multivariate polynomial regression analyses expressing the airfoil lift, drag and moment coefficients as polynomial functions of the angle-of-attack and 2D non-dimensional (relative to the chord length) shape parameters: non-dimensional tube diameter, maximum camber magnitude and chordwise position of maximum camber. The regression analyses relied on numerical data attained from computational fluid dynamics (CFD) simulations of the 2D flow fields around parameterised LEI wing profiles. The RANS equations, closed by the k-ω SST turbulence model, have been used for this purpose. The parameterisation and subsequent geometric construction of LEI wing profiles has been a key aspect of this study. As such, the effects of the shape parameters on the flow field have been assessed. Subject AWEAWESKiteLEIMembraneTubeRegression analysisLoad modelCFD To reference this document use: http://resolver.tudelft.nl/uuid:42f611a2-ef79-4540-a43c-0ea827700388 Bibliographical note The source code of the MATLAB-Pointwise-OpenFOAM toolchain developed in the frame of this graduation project is publicly available from https://github.com/awegroup/ML-PW-OF-toolchain Part of collection Student theses Document type master thesis Rights © 2023 John Watchorn Files PDF MSc_Thesis_John_Watchorn.pdf 8.31 MB Close viewer /islandora/object/uuid:42f611a2-ef79-4540-a43c-0ea827700388/datastream/OBJ/view