Articles | Volume 11, issue 3
https://doi.org/10.5194/wes-11-911-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-911-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Wind tunnel load measurements of a leading-edge inflatable kite rigid-scale model
Jelle Agatho Wilhelm Poland
CORRESPONDING AUTHOR
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Johannes Marinus van Spronsen
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Mac Gaunaa
Department of Wind and Energy Systems, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Roland Schmehl
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Related authors
Jelle Agatho Wilhelm Poland, Kasper Raphaël G. Masure, Oriol Cayon, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-46, https://doi.org/10.5194/wes-2026-46, 2026
Preprint under review for WES
Short summary
Short summary
Soft inflatable kites are promising tools for renewable applications, but their unusual shape makes them difficult to analyse with conventional aerodynamic methods. A fast, accurate computer model is presented based on detailed airflow simulations and wind-tunnel measurements. Aerodynamic forces are predicted within about 10 % of experimental values while requiring far less computing time. It also helps designers balance efficiency and stability, enabling faster, more reliable kite development.
Jelle Agatho Wilhelm Poland, Erik Fritz, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-217, https://doi.org/10.5194/wes-2025-217, 2025
Preprint under review for WES
Short summary
Short summary
We studied how air flows around a rigid scale model of a soft kite wing used for harvesting airborne wind energy and wind-assisted ship propulsion. Using a wind tunnel and a laser-based imaging method, we measured the airflow at different angles to compare with computer simulations. Results confirm key aerodynamic trends such as stall onset and spanwise lift variation, and highlight the influence of struts and recirculation zones on kite aerodynamics.
Jelle Agatho Wilhelm Poland, Kasper Raphaël G. Masure, Oriol Cayon, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-46, https://doi.org/10.5194/wes-2026-46, 2026
Preprint under review for WES
Short summary
Short summary
Soft inflatable kites are promising tools for renewable applications, but their unusual shape makes them difficult to analyse with conventional aerodynamic methods. A fast, accurate computer model is presented based on detailed airflow simulations and wind-tunnel measurements. Aerodynamic forces are predicted within about 10 % of experimental values while requiring far less computing time. It also helps designers balance efficiency and stability, enabling faster, more reliable kite development.
Nanako Sasanuma, Akihiro Honda, Christian Bak, Niels Troldborg, Mac Gaunaa, Morten Nielsen, and Teruhisa Shimada
Wind Energ. Sci., 11, 265–284, https://doi.org/10.5194/wes-11-265-2026, https://doi.org/10.5194/wes-11-265-2026, 2026
Short summary
Short summary
We verify wake effects between two wind turbines in complex terrain using supervisory control and data acquisition data. By identifying “wake conditions” and “no-wake conditions” detected by the blade pitch angle of upstream wind turbines, we evaluate wake effects on wind speed ratio, turbulent intensity, and power output. Results show that flow downhill has a significant impact on wake effects compared to flow uphill. The method shows the potential of SCADA data during the downtime of wind turbines.
Filippo Trevisi, Gianni Cassoni, Mac Gaunaa, and Lorenzo Mario Fagiano
Wind Energ. Sci., 11, 195–216, https://doi.org/10.5194/wes-11-195-2026, https://doi.org/10.5194/wes-11-195-2026, 2026
Short summary
Short summary
This paper investigates the optimal aerodynamic design of the wing and the onboard turbines of the fly-gen airborne wind energy system aircraft, named wind plane here, with a novel comprehensive engineering aerodynamic model and with the vortex particle method. Placing the turbines at the wing tips, rotating them inboard downward with a low tip speed ratio, and using conventional efficient airfoils for the wing are found to be optimal for wind planes.
Clemens Paul Zengler, Mac Gaunaa, and Niels Troldborg
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-258, https://doi.org/10.5194/wes-2025-258, 2025
Preprint under review for WES
Short summary
Short summary
When wind turbines operate in conditions, which they were not actively designed for, e.g. complex terrain, they might show unexpected performance variations. Two causes for this, performance constraints due to flow physics , and wind turbine control are analyzed in detailed. Results show, that maximum power performance varies in complex terrain and that rotor-torque based control strategies might operate suboptimally in these conditions.
Ang Li, Mac Gaunaa, and Georg Raimund Pirrung
Wind Energ. Sci., 10, 2515–2550, https://doi.org/10.5194/wes-10-2515-2025, https://doi.org/10.5194/wes-10-2515-2025, 2025
Short summary
Short summary
Wind turbines with swept blades have the potential to improve power production and reduce loads, but their actual benefits are uncertain, and they are difficult to analyse. We developed a simplified yet accurate aerodynamic model, coupling two engineering models, to predict their performance. Tests against high-fidelity simulations show that the method offers reliable results with low computational effort, making it ideal for load calculations and design optimization of swept blades.
Jelle Agatho Wilhelm Poland, Erik Fritz, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-217, https://doi.org/10.5194/wes-2025-217, 2025
Preprint under review for WES
Short summary
Short summary
We studied how air flows around a rigid scale model of a soft kite wing used for harvesting airborne wind energy and wind-assisted ship propulsion. Using a wind tunnel and a laser-based imaging method, we measured the airflow at different angles to compare with computer simulations. Results confirm key aerodynamic trends such as stall onset and spanwise lift variation, and highlight the influence of struts and recirculation zones on kite aerodynamics.
Ang Li, Mac Gaunaa, Georg Raimund Pirrung, and Kenneth Lønbæk
Wind Energ. Sci., 10, 2299–2349, https://doi.org/10.5194/wes-10-2299-2025, https://doi.org/10.5194/wes-10-2299-2025, 2025
Short summary
Short summary
This study improves the analysis of curved wind turbine blades, such as those with sweep or prebend. Existing methods often blend different effects on blade performance, making design optimization challenging. We developed a framework that disentangles these effects, providing clearer insights. Our findings show that the aerodynamic influences of sweep and prebend can be modeled separately and combined, simplifying modeling processes and supporting more efficient blade design.
Oriol Cayon, Vince van Deursen, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-205, https://doi.org/10.5194/wes-2025-205, 2025
Revised manuscript accepted for WES
Short summary
Short summary
Kites can generate renewable energy by flying crosswind, but their motion is difficult to describe accurately and efficiently. This study develops a simplified model that captures how kites move through the air using a reduced number of parameters. The model was validated with flight data and provides a clearer understanding of kite motion, supporting the design of improved control strategies and energy generation.
Oriol Cayon, Simon Watson, and Roland Schmehl
Wind Energ. Sci., 10, 2161–2188, https://doi.org/10.5194/wes-10-2161-2025, https://doi.org/10.5194/wes-10-2161-2025, 2025
Short summary
Short summary
This study demonstrates how kites used to generate wind energy can act as sensors to measure wind conditions and system behaviour. By combining data from existing sensors, such as those measuring position, speed, and forces on the tether, a sensor fusion technique accurately estimates wind conditions and kite performance. This approach can be integrated into control systems to help optimize energy generation and enhance the reliability of these systems under changing wind conditions.
Clemens Paul Zengler, Niels Troldborg, and Mac Gaunaa
Wind Energ. Sci., 10, 1485–1497, https://doi.org/10.5194/wes-10-1485-2025, https://doi.org/10.5194/wes-10-1485-2025, 2025
Short summary
Short summary
Wind turbine power performance is mostly calculated based on the wind speed measured at the turbine position. The presented results imply that it is necessary to also assess how the undisturbed wind speed changes in the flow direction to accurately predict the power performance. In other words, the acceleration of the flow is relevant for the energy production. An outcome of this work is a simple model that can be used to include flow acceleration in power performance predictions.
Rishikesh Joshi, Dominic von Terzi, and Roland Schmehl
Wind Energ. Sci., 10, 695–718, https://doi.org/10.5194/wes-10-695-2025, https://doi.org/10.5194/wes-10-695-2025, 2025
Short summary
Short summary
This paper presents a methodology for assessing the system design and scaling trends in airborne wind energy (AWE). A multi-disciplinary design, analysis, and optimisation (MDAO) framework was developed, integrating power, energy production, and cost models for the fixed-wing ground-generation (GG) AWE concept. Using the levelized cost of electricity (LCoE) as the design objective, we found that the optimal size of systems lies between the rated power of 100 and 1000 kW.
Helena Schmidt, Renatto M. Yupa-Villanueva, Daniele Ragni, Roberto Merino-Martínez, Piet J. R. van Gool, and Roland Schmehl
Wind Energ. Sci., 10, 579–595, https://doi.org/10.5194/wes-10-579-2025, https://doi.org/10.5194/wes-10-579-2025, 2025
Short summary
Short summary
This study investigates noise annoyance caused by airborne wind energy systems (AWESs), a novel wind energy technology that uses kites to harness high-altitude winds. Through a listening experiment with 75 participants, sharpness was identified as the key factor predicting annoyance. Fixed-wing kites generated more annoyance than soft-wing kites, likely due to their sharper, more tonal sound. The findings can help improve AWESs’ designs, reducing noise-related disturbances for nearby residents.
Dylan Eijkelhof, Nicola Rossi, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-139, https://doi.org/10.5194/wes-2024-139, 2024
Revised manuscript accepted for WES
Short summary
Short summary
This study compares circular and figure-of-eight flight shapes for flying kite wind energy systems, assessing power output, stability, and system lifespan. Results show that circular patterns are ideal for maximizing energy in compact areas, while figure-of-eight paths, especially flying up in the centre of the figure, deliver smoother, more consistent power and have a longer expected kite lifespan. These findings offer valuable insights to enhance design and performance of kite systems.
Christoph Elfert, Dietmar Göhlich, and Roland Schmehl
Wind Energ. Sci., 9, 2261–2282, https://doi.org/10.5194/wes-9-2261-2024, https://doi.org/10.5194/wes-9-2261-2024, 2024
Short summary
Short summary
This article presents a tow test procedure for measuring the steering behaviour of tethered membrane wings. The experimental set-up includes a novel onboard sensor system for measuring the position and orientation of the towed wing, complemented by an attached low-cost multi-hole probe for measuring the relative flow velocity vector at the wing. The measured data (steering gain and dead time) can be used to improve kite models and simulate the operation of airborne wind energy systems.
Rishikesh Joshi, Roland Schmehl, and Michiel Kruijff
Wind Energ. Sci., 9, 2195–2215, https://doi.org/10.5194/wes-9-2195-2024, https://doi.org/10.5194/wes-9-2195-2024, 2024
Short summary
Short summary
This paper presents a fast cycle–power computation model for fixed-wing ground-generation airborne wind energy systems. It is suitable for sensitivity and scalability studies, which makes it a valuable tool for design and innovation trade-offs. It is also suitable for integration with cost models and systems engineering tools, enhancing its applicability in assessing the potential of airborne wind energy in the broader energy system.
Mark Schelbergen and Roland Schmehl
Wind Energ. Sci., 9, 1323–1344, https://doi.org/10.5194/wes-9-1323-2024, https://doi.org/10.5194/wes-9-1323-2024, 2024
Short summary
Short summary
We present a novel two-point model of a kite with a suspended control unit to describe the characteristic swinging motion of this assembly during turning manoeuvres. Quasi-steady and dynamic model variants are combined with a discretised tether model, and simulation results are compared with measurement data of an instrumented kite system. By resolving the pitch of the kite, the model allows for computing the angle of attack, which is essential for estimating the generated aerodynamic forces.
Maaike Sickler, Bart Ummels, Michiel Zaaijer, Roland Schmehl, and Katherine Dykes
Wind Energ. Sci., 8, 1225–1233, https://doi.org/10.5194/wes-8-1225-2023, https://doi.org/10.5194/wes-8-1225-2023, 2023
Short summary
Short summary
This paper investigates the effect of wind farm layout on the performance of offshore wind farms. A regular farm layout is compared to optimised irregular layouts. The irregular layouts have higher annual energy production, and the power production is less sensitive to wind direction. However, turbine towers require thicker walls to counteract increased fatigue due to increased turbulence levels in the farm. The study shows that layout optimisation can be used to maintain high-yield performance.
Mac Gaunaa, Niels Troldborg, and Emmanuel Branlard
Wind Energ. Sci., 8, 503–513, https://doi.org/10.5194/wes-8-503-2023, https://doi.org/10.5194/wes-8-503-2023, 2023
Short summary
Short summary
We present an analytical vortex model. Despite its simplicity, the model is fully consistent with 1D momentum theory. It shows that the flow through a non-uniformly loaded rotor operating in non-uniform inflow behaves locally as predicted by 1D momentum theory. As a consequence, the local power coefficient (based on local inflow) of an ideal rotor is unaltered by the presence of shear. Finally, the model shows that there is no cross-shear deflection of the wake of a rotor in sheared inflow.
Ang Li, Mac Gaunaa, Georg Raimund Pirrung, Alexander Meyer Forsting, and Sergio González Horcas
Wind Energ. Sci., 7, 1341–1365, https://doi.org/10.5194/wes-7-1341-2022, https://doi.org/10.5194/wes-7-1341-2022, 2022
Short summary
Short summary
A consistent method of using two-dimensional airfoil data when using generalized lifting-line methods for the aerodynamic load calculation of non-planar horizontal-axis wind turbines is described. The important conclusions from the unsteady two-dimensional airfoil aerodynamics are highlighted. The impact of using a simplified approach instead of using the full model on the prediction of the aerodynamic performance of non-planar rotors is shown numerically for different aerodynamic models.
Ang Li, Georg Raimund Pirrung, Mac Gaunaa, Helge Aagaard Madsen, and Sergio González Horcas
Wind Energ. Sci., 7, 129–160, https://doi.org/10.5194/wes-7-129-2022, https://doi.org/10.5194/wes-7-129-2022, 2022
Short summary
Short summary
An engineering aerodynamic model for the swept horizontal-axis wind turbine blades is proposed. It uses a combination of analytical results and engineering approximations. The performance of the model is comparable with heavier high-fidelity models but has similarly low computational cost as currently used low-fidelity models. The model could be used for an efficient and accurate load calculation of swept wind turbine blades and could eventually be integrated in a design optimization framework.
Ang Li, Mac Gaunaa, Georg Raimund Pirrung, and Sergio González Horcas
Wind Energ. Sci., 7, 75–104, https://doi.org/10.5194/wes-7-75-2022, https://doi.org/10.5194/wes-7-75-2022, 2022
Short summary
Short summary
An engineering aerodynamic model for non-planar horizontal-axis wind turbines is proposed. The performance of the model is comparable with high-fidelity models but has similarly low computational cost as currently used low-fidelity models, which do not have the capability to model non-planar rotors. The developed model could be used for an efficient and accurate load calculation of non-planar wind turbines and eventually be integrated in a design optimization framework.
Thanasis Barlas, Georg Raimund Pirrung, Néstor Ramos-García, Sergio González Horcas, Robert Flemming Mikkelsen, Anders Smærup Olsen, and Mac Gaunaa
Wind Energ. Sci., 6, 1311–1324, https://doi.org/10.5194/wes-6-1311-2021, https://doi.org/10.5194/wes-6-1311-2021, 2021
Short summary
Short summary
Curved blade tips can potentially have a significant impact on wind turbine performance and loads. A swept tip shape optimized for wind turbine applications is tested in a wind tunnel. A range of numerical aerodynamic simulation tools with various levels of fidelity are compared. We show that all numerical tools except for the simplest blade element momentum based are in good agreement with the measurements, suggesting the required level of model fidelity necessary for the design of such tips.
Cited articles
Anderson, J. D.: Fundamentals of Aerodynamics, McGraw-Hill Inc., 5th edn., ISBN 0-07-001656-9, 2016. a
Babinsky, H.: The aerodynamic performance of paragliders, The Aeronautical Journal, 103, 421–428, https://doi.org/10.1017/S0001924000027974, 1999. a
Balakumar, P.: Laminar to turbulence transition in boundary layers due to tripping devices, in: AIAA Scitech 2021 Forum, https://doi.org/10.2514/6.2021-1948, 2021. a
Batchelor, G. K.: Interference in a Wind Tunnel of Octagonal Section, Tech. rep., Australian Committee for Aeronautics (CSIR), https://nla.gov.au/nla.obj-851762675 (last access: 11 February 2026), 1944. a
Bechtle, P., Schelbergen, M., Schmehl, R., Zillmann, U., and Watson, S.: Airborne wind energy resource analysis, Renew. Energ., 141, 1103–1116, https://doi.org/10.1016/j.renene.2019.03.118, 2019. a
Belloc, H.: Wind tunnel investigation of a rigid paraglider reference wing, J. Aircraft, 52, 703–708, https://doi.org/10.2514/1.C032513, 2015. a, b
Bosch, A., Schmehl, R., Tiso, P., and Rixen, D.: Dynamic nonlinear aeroelastic model of a kite for power generation, J. Guid. Control Dynam., 37, 1426–1436, https://doi.org/10.2514/1.G000545, 2014. a
Cayon, O., Gaunaa, M., and Schmehl, R.: Fast aero-structural model of a leading-edge inflatable kite, Energies, 16, 3061, https://doi.org/10.3390/en16073061, 2023. a, b
Cocke, B. W.: Wind-Tunnel Investigation of the Aerodynamic and Structural Deflection Characteristics of the Goodyear Inflatoplane, Tech. Rep. 19930090147, National Advisory Committee for Aeronautics, https://ntrs.nasa.gov/citations/19930090147 (last access: 11 February 2026), 1958. a
Collin, C.: Interference Effects in Automotive Open Jet Wind Tunnels, PhD thesis, Technische Universität München, https://mediatum.ub.tum.de/1468822 (last access: 11 February 2026), 2019. a
Coutinho, K.: Life cycle assessment of a soft-wing airborne wind energy system and its application within an off-grid hybrid power plant configuration, Master's thesis, Delft University of Technology, https://resolver.tudelft.nl/uuid:55533d19-21e1-4851-bf7c-7f3af008aaaa (last access: 11 February 2026), 2024. a
Dadd, G. M., Hudson, D. A., and Shenoi, R. A.: Comparison of two kite force models with experiment, J. Aircraft, 47, 212–224, https://doi.org/10.2514/1.44738, 2010. a
De Solminihac, A., Alain Nême, C. D., Leroux, J.-B., Roncin, K., Jochum, C., and Parlier, Y.: Kite as a beam: a fast method to get the flying shape, in: Airborne Wind Energy – Advances in Technology Development and Research, edited by: Schmehl, R., Green Energy and Technology, Chap. 4, Springer, Singapore, https://doi.org/10.1007/978-981-10-1947-0, 79–97, 2018. a
De Tavernier, D.: Aerodynamic Advances in Vertical-Axis Wind Turbines, PhD thesis, Delft University of Technology, https://doi.org/10.4233/uuid:7086f01f-28e7-4e1b-bf97-bb3e38dd22b9, 2021. a
Deaves, M.: An Investigation of the Non-Linear 3D Flow Effects Relevant for Leading Edge Inflatable Kites, Master's thesis, Delft University of Technology, https://resolver.tudelft.nl/uuid:ccb56154-0b70-4a41-8223-24b0f8d145c5 (last access: 11 February 2026), 2015. a
Den Boer, R.: Low Speed Aerodynamic Characteristics of a Two-Dimensional Sail Wing with Adjustable Slack of the Sail, Tech. Rep. LR-307, Technische Hogeschool Delft, Luchtvaart- en Ruimtevaarttechniek, https://resolver.tudelft.nl/uuid:18ae2cc6-434e-49c8-9296-d3fa450850a5 (last access: 11 February 2026), 1980. a
Desai, S., Schetz, J. A., Kapania, R. K., and Gupta, R.: Wind tunnel testing of tethered inflatable wings, J. Aircraft, 0, 1–18, https://doi.org/10.2514/1.C037437, 2024. a
Dollinger, C., Balaresque, N., Gaudern, N., Gleichauf, D., Sorg, M., and Fischer, A.: IR thermographic flow visualization for the quantification of boundary layer flow disturbances due to the leading edge condition, Renew. Energ., 138, 709–721, https://doi.org/10.1016/j.renene.2019.01.116, 2019. a, b
Driest, E. R. V. and McCauley, M.: The effect of controlled three-dimensional roughness on boundary-layer transition at supersonic speeds, Journal of the Aerospace Sciences, 27, 261–271, https://doi.org/10.2514/8.8490, 1960. a
Duport, C.: Modeling with consideration of the fluid-structure interaction of the behavior under load of a kite for auxiliary traction of ships, PhD thesis, University of Bretagne, https://theses.hal.science/tel-02383312 (last access: 11 February 2026), 2018. a
Elfert, C., Göhlich, D., and Schmehl, R.: Measurement of the turning behaviour of tethered membrane wings using automated flight manoeuvres, Wind Energ. Sci., 9, 2261–2282, https://doi.org/10.5194/wes-9-2261-2024, 2024. a
Elsinga, G. and Westerweel, J.: Tomographic-PIV measurement of the flow around a zigzag boundary layer trip, Exp. Fluids, 52, 865–876, https://doi.org/10.1007/s00348-011-1153-8, 2012. a
Fagiano, L., Quack, M., Bauer, F., Carnel, L., and Oland, E.: Autonomous airborne wind energy systems: accomplishments and challenges, Annual Review of Control, Robotics, and Autonomous Systems, 5, https://doi.org/10.1146/annurev-control-042820-124658, 2022. a
FARO: FARO Vantage E laser tracker, https://media.faro.com/-/media/Project/FARO/FARO/FARO/Resources/2_TECH-SHEET/FARO-Vantage-Laser-Trackers/TechSheet_Vantage_ENG.pdf (last access: 11 February 2026), 2024. a
Folkersma, M., Schmehl, R., and Viré, A.: Boundary layer transition modeling on leading edge inflatable kite airfoils, Wind Energy, 22, 908–921, https://doi.org/10.1002/we.2329, 2019. a, b
Greene, W. H.: Econometric Analysis, Pearson Education Limited, Harlow, UK, 8 edn., ISBN-13 9781292231150, 2019. a
Grguric, J. and Quintero, Y.: CODECHECK Certificate 2025-007, CODECHECK, Zenodo, https://doi.org/10.5281/zenodo.15603144, 2025. a
Hummel, J., Göhlich, D., and Schmehl, R.: Automatic measurement and characterization of the dynamic properties of tethered membrane wings, Wind Energ. Sci., 4, 41–55, https://doi.org/10.5194/wes-4-41-2019, 2019. a
Kleidon, A.: Physical limits of wind energy within the atmosphere and its use as renewable energy: from the theoretical basis to practical implications, Meteorol. Z., 30, 203–225, https://doi.org/10.1127/metz/2021/1062, 2021. a
Langel, C., Chow, R., van Dam, C., Maniaci, D., Ehrmann, R., and White, E.: A computational approach to simulating the effects of realistic surface roughness on boundary layer transition, in: 52nd Aerospace Sciences Meeting, https://doi.org/10.2514/6.2014-0234, 2014. a
LeBlanc, B. P. and Ferreira, C. S.: Experimental determination of thrust loading of a 2-bladed vertical axis wind turbine, Journal of Physics Conference Series, 1037, 022043, https://doi.org/10.1088/1742-6596/1037/2/022043, 2018. a, b
Leloup, R., Roncin, K., Bles, G., Leroux, J. B., Jochum, C., and Parlier, Y.: Estimation of the lift-to-drag ratio using the lifting line method: application to a leading edge inflatable kite, in: Airborne Wind Energy, edited by: Ahrens, U., Schmehl, R., and Diehl, M., Chap. 19, Springer, https://doi.org/10.1007/978-3-642-39965-7_19, 339–355, 2013. a, b
Lignarolo, L., Ragni, D., Krishnaswami, C., Chen, Q., Ferreira, C. S., and van Bussel, G.: Experimental analysis of the wake of a horizontal-axis wind-turbine model, Renew. Energ., 70, 31–46, https://doi.org/10.1016/j.renene.2014.01.020, 2014. a
Lock, C. N. H.: The Interference of a Wind Tunnel on a Symmetrical Body, Aeronautical Research Committee Reports and Memoranda 1275, Cranfield University, https://reports.aerade.cranfield.ac.uk/handle/1826.2/4107 (last access: 11 February 2026), 1929. a
Matos, C., Mahalingam, R., Ottinger, G., Klapper, J., Funk, R., and Komerath, N.: Wind tunnel measurements of parafoil geometry and aerodynamics, in: 36th AIAA Aerospace Sciences Meeting and Exhibit, AIAA 98-0606, School of Aerospace Engineering, Georgia Institute of Technology, American Institute of Aeronautics and Astronautics, Reno, NV, USA, https://doi.org/10.2514/6.1998-606, 1998. a
Mercker, E., Wickern, G., and Weidemann, J.: Contemplation of Nozzle Blockage in Open Jet Wind-Tunnels in View of Different `Q' Determination Techniques, Tech. Rep. 970136, SAE Technical Paper, https://doi.org/10.4271/970136, 1997. a
Newey, W. K. and West, K. D.: A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix, Econometrica, 55, 703–708, https://doi.org/10.2307/1913610, 1987. a, b
Nicolaides, J. D.: Parafoil Wind Tunnel Tests, Tech. Rep. AFFDL-TR-70-146, Air Force Flight Dynamics Laboratory, https://apps.dtic.mil/sti/citations/AD0731564 (last access: 11 February 2026), 1971. a
Nüst, D. and Eglen, S. J.: CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility, F1000Research, 10, 253, https://doi.org/10.12688/f1000research.51738.2, 2021. a
Oehler, J. and Schmehl, R.: Aerodynamic characterization of a soft kite by in situ flow measurement, Wind Energ. Sci., 4, 1–21, https://doi.org/10.5194/wes-4-1-2019, 2019. a, b
Oehler, J., van Reijen, M., and Schmehl, R.: Experimental investigation of soft kite performance during turning maneuvers, Journal of Physics: Conference Series, 1037, 052004, https://doi.org/10.1088/1742-6596/1037/5/052004, 2018. a, b, c
Okda, S., Elbanhawy, A., Chernoray, V., Akl, W., and Elsabbagh, A.: Testing of the aerodynamic characteristics of an inflatable airfoil section, Journal of Aerospace Engineering, 33, 1–18, https://doi.org/10.1061/(ASCE)AS.1943-5525.0001187, 2020. a
Pearson, K.: Mathematical contributions to the theory of evolution. III. Regression, heredity, and panmixia, Philos. T. R. Soc. S.-A, 187, 253–318, https://doi.org/10.1098/rsta.1896.0007, 1896. a
Phillips, W. F. and Snyder, D. O.: Modern adaptation of Prandtl's classic lifting-line theory, J. Aircraft, 37, 662–670, https://doi.org/10.2514/2.2649, 2000. a
Poland, J. A. W.: jellepoland/WES_load_wind_tunnel_measurements_TUDELFT_V3_LEI_KITE: Updating ReadMe (v2.0.2), Zenodo [code], https://doi.org/10.5281/zenodo.15316684, 2025. a
Poland, J. A. W. and Schmehl, R.: Modelling aero-structural deformation of flexible membrane kites, Energies, 16, 5264, https://doi.org/10.3390/en16145264, 2023. a, b
Poland, J. A. W., Fritz, E., and Schmehl, R.: Flow Field Analysis of a Leading-Edge Inflatable Kite Rigid Scale Model Using Stereoscopic Particle Image Velocimetry, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2025-217, in review, 2025a. a
Poland, J. A. W., Van Spronsen, M., Gaunaa, M., and Schmehl, R.: Data of Wind Tunnel Load Measurements of TUDELFT_V3_KITE Rigid Scale Model, Zenodo [data set], https://doi.org/10.5281/zenodo.14288467, 2025b. a
Poland, J. A. W., Lebesque, G., Schmehl, R., and Viré, A.: Surface mesh of the TUDELFT_V3_KITE CAD with edge fillets, Zenodo [data set], https://doi.org/10.5281/zenodo.15316036, 2025c. a
Poland, J. A. W., Masure, K. R. G., Cayon, O., and Schmehl, R.: Computational aerodynamics for soft-wing kite design, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2026-46, in review, 2026. a, b
Poling, B. E., Prausnitz, J. M., and O'Connell, J. P.: Properties of Gases and Liquids, McGraw-Hill Education, New York, 5th edn., ISBN 9780070116825, 2001. a
Prandtl, L.: Tragflügeltheorie. I. Mitteilung, Nachrichten von der Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-Physikalische Klasse, 1918, 451–477, http://eudml.org/doc/59036 (last access: 11 February 2026), 1918. a
Python, B.: Methodology Improvement for Performance Assessment of Pumping Kite Power Wing, Master's thesis, Delft University of Technology and Ecole Polytechnique Fédérale de Lausanne, https://resolver.tudelft.nl/uuid:462bba8d-e0ca-419d-a3b0-aaa93c284625 (last access: 11 February 2026), 2017. a
Rementeria Zalduegui, A. and Garry, K.: Performance for Power Generation, in: Conference Paper, Cranfield University, http://resolver.tudelft.nl/uuid:53377f4c-c4d4-4dbe-b316-2796443ff38b (last access: 11 February 2026), 2019. a
Rosenhead, L.: The airfoil in a wind tunnel of elliptic cross-section, Proc. R. Soc. Lon. Ser.-A, 140, 579, https://www.jstor.org/stable/96083 (last access: 11 February 2026), 1933. a
Roullier, A.: Experimental analysis of a kite system's dynamics, Master's thesis, EPFL, https://doi.org/10.5281/zenodo.7752407, 2020. a
Rushdi, M. A., Rushdi, A. A., Dief, T. N., Halawa, A. M., Yoshida, S., and Schmehl, R.: Power prediction of airborne wind energy systems using multivariate machine learning, Energies, 13, 2367, https://doi.org/10.3390/en13092367, 2020. a
Schelbergen, M. and Schmehl, R.: Swinging motion of a kite with suspended control unit flying turning manoeuvres, Wind Energ. Sci., 9, 1323–1344, https://doi.org/10.5194/wes-9-1323-2024, 2024. a
Schelbergen, M., Schmehl, R., Buchholz, B., Breuer, J., and Peschel, J.: Kite power flight data acquired on 8 October 2019, 4TU.ResearchData [data set], https://doi.org/10.4121/19376174.v1, 2024. a
Schmidt, E., De Lellis, M., Saraiva, R., and Trofino, A.: State estimation of a tethered airfoil for monitoring, control and optimization, IFAC-PapersOnLine, 50, 13246–13251, https://doi.org/10.1016/j.ifacol.2017.08.1960, 2017. a
Smith, S., Simpson, A., and Jacob, J.: Aeroelastic behavior of inflatable wings: wind tunnel and flight testing, in: 45th AIAA Aerospace Sciences Meeting and Exhibit, https://doi.org/10.2514/6.2007-1069, 1069, 2007. a
Soltani, M., Birjandi, A., and Moorani, M. S.: Effect of surface contamination on the performance of a section of a wind turbine blade, Scientia Iranica, 18, 349–357, https://doi.org/10.1016/j.scient.2011.05.024, 2011. a
Speziale, C. G.: Turbulence modeling for time-dependent RANS and VLES: a review, AIAA J., 36, 173–184, https://doi.org/10.2514/2.7499, 1998. a
Tani, I.: Boundary-layer transition, Annu. Rev. Fluid Mech., 1, 169–196, https://doi.org/10.1146/annurev.fl.01.010169.001125, 1969. a
Van der Vlugt, R., Bley, A., Noom, M., and Schmehl, R.: Quasi-steady model of a pumping kite power system, Renew. Energ., 131, 83–99, https://doi.org/10.1016/j.renene.2018.07.023, 2019. a
Van Hagen, L., Petrick, K., Wilhelm, S., and Schmehl, R.: Life-cycle assessment of a multi-megawatt airborne wind energy system, Energies, 16, 1750, https://doi.org/10.3390/en16041750, 2023. a
van Rooij, R. and Timmer, W.: Roughness sensitivity considerations for thick rotor blade airfoils, Journal of Solar Energy Engineering, 125, 468–478, https://doi.org/10.2514/6.2003-350, 2003. a
Van Spronsen, J. M.: Rigidized subscale kite wind tunnel test, Master's thesis, Delft University of Technology, https://resolver.tudelft.nl/uuid:61f979d7-0d90-4374-b84d-19b57d6d6bea (last access: 11 February 2026), 2024. a
Van Til, J., De Lellis, M., Saraiva, R., and Trofino, A.: Dynamic model of a C-shaped bridled kite using a few rigid plates, in: Airborne Wind Energy – Advances in Technology Development and Research, edited by: Schmehl, R., Green Energy and Technology, Chap. 5, Springer, Singapore, https://doi.org/10.1007/978-981-10-1947-0_5, 99–115, 2018. a
Vermillion, C., Cobb, M., Fagiano, L., Leuthold, R., Diehl, M., Smith, R. S., Wood, T. A., Rapp, S., Schmehl, R., Olinger, D., and Demetriou, M.: Electricity in the air: insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems, Annual Reviews in Control, 52, 330–357, https://doi.org/10.1016/j.arcontrol.2021.03.002, 2021. a
Viré, A., Demkowicz, P., Folkersma, M., Roullier, A., and Schmehl, R.: Reynolds-averaged Navier-Stokes simulations of the flow past a leading edge inflatable wing for airborne wind energy applications, Journal of Physics: Conference Series, 1618, 032007, https://doi.org/10.1088/1742-6596/1618/3/032007, 2020. a, b, c, d, e, f, g
Wachter, A. D.: Deformation and Aerodynamic Performance of a Ram-Air Wing, Master's thesis, Delft University of Technology, https://resolver.tudelft.nl/uuid:786e3395-4590-4755-829f-51283a8df3d2 (last access: 11 February 2026), 2008. a
Watchorn, J. P.: Aerodynamic Load Modelling for Leading Edge Inflatable Kites, Master's thesis, Delft University of Technology, https://resolver.tudelft.nl/uuid:42f611a2-ef79-4540-a43c-0ea827700388 (last access: 11 February 2026), 2023. a
Wickern, G.: A Theoretical Approach towards the Self-Correcting Open Jet Wind Tunnel, Tech. Rep. 2014-01-0579, SAE Technical Paper, https://doi.org/10.4271/2014-01-0579, 2014. a, b
Ye, Q.: Mechanisms of boundary layer transition induced by isolated roughness, PhD thesis, Delft University of Technology, https://doi.org/10.4233/uuid:b1b5332a-33d5-4fd4-b386-3acc48e12003, 2017. a
Zhang, Y., Gillebaart, T., van Zuijlen, A., van Bussel, G., and Bijl, H.: Experimental and numerical investigations of aerodynamic loads and 3D flow over non-rotating MEXICO blades, Wind Energy, 20, 585–600, https://doi.org/10.1002/we.2025, 2017a. a
Zhang, Y., van Zuijlen, A., and van Bussel, G.: The MEXICO rotor aerodynamic loads prediction: ZigZag tape effects and laminar-turbulent transition modeling in CFD, J. Wind Eng. Ind. Aerod., 168, 152–163, https://doi.org/10.1016/j.jweia.2017.06.002, 2017b. a
Short summary
We tested a small model of an energy-generating kite in a wind tunnel to study its aerodynamic behaviour. By comparing measurements to computer simulations, we validated the models and identified where they match the real performance and where they fall short. These insights will guide more accurate aerodynamic modelling and inform design choices for kites used in airborne wind energy systems.
We tested a small model of an energy-generating kite in a wind tunnel to study its aerodynamic...
Altmetrics
Final-revised paper
Preprint