LAPSE:2023.14206
Published Article

LAPSE:2023.14206
Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems
March 1, 2023
Abstract
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 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.
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 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.
Record ID
Keywords
aerodynamic performance, airborne wind energy, analytical model, Computational Fluid Dynamics, crosswind kite, induction factor, wake model
Subject
Suggested Citation
Kheiri M, Victor S, Rangriz S, Karakouzian MM, Bourgault F. Aerodynamic Performance and Wake Flow of Crosswind Kite Power Systems. (2023). LAPSE:2023.14206
Author Affiliations
Kheiri M: Fluid-Structure Interactions & Aeroelasticity Laboratory, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, QC H3G 1M8, Canada; New Leaf Management Ltd., 500-1177 West Hastings Street, Vancouver, BC V6E 2K3, Canada [ORCID]
Victor S: New Leaf Management Ltd., 500-1177 West Hastings Street, Vancouver, BC V6E 2K3, Canada
Rangriz S: Fluid-Structure Interactions & Aeroelasticity Laboratory, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, QC H3G 1M8, Canada
Karakouzian MM: Department of Mathematics and Statistics, Queen’s University, Kingston, ON K7L 3N6, Canada
Bourgault F: New Leaf Management Ltd., 500-1177 West Hastings Street, Vancouver, BC V6E 2K3, Canada
Victor S: New Leaf Management Ltd., 500-1177 West Hastings Street, Vancouver, BC V6E 2K3, Canada
Rangriz S: Fluid-Structure Interactions & Aeroelasticity Laboratory, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, QC H3G 1M8, Canada
Karakouzian MM: Department of Mathematics and Statistics, Queen’s University, Kingston, ON K7L 3N6, Canada
Bourgault F: New Leaf Management Ltd., 500-1177 West Hastings Street, Vancouver, BC V6E 2K3, Canada
Journal Name
Energies
Volume
15
Issue
7
First Page
2449
Year
2022
Publication Date
2022-03-26
ISSN
1996-1073
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Original Submission
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PII: en15072449, Publication Type: Journal Article
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LAPSE:2023.14206
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https://doi.org/10.3390/en15072449
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