Articles | Volume 11, issue 11
https://doi.org/10.5194/wes-11-4147-2026
© 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-11-4147-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Computational aerodynamics for leading-edge inflatable kite design
Jelle Agatho Wilhelm Poland
CORRESPONDING AUTHOR
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Kasper Raphaël G. Masure
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Oriol Cayon
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Roland Schmehl
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Related authors
Jelle Agatho Wilhelm Poland, Erik Fritz, and Roland Schmehl
Wind Energ. Sci., 11, 1461–1485, https://doi.org/10.5194/wes-11-1461-2026, https://doi.org/10.5194/wes-11-1461-2026, 2026
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We studied how air flows around a rigid-scale model of a soft-wing kite 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 simulations. Measured flow field results confirm numerical predictions.
For the measurements with low uncertainty, the derived lift force quantities also correspond well with numerical predictions.
For the measurements with low uncertainty, the derived lift force quantities also correspond well with numerical predictions.
Jelle Agatho Wilhelm Poland, Johannes Marinus van Spronsen, Mac Gaunaa, and Roland Schmehl
Wind Energ. Sci., 11, 911–936, https://doi.org/10.5194/wes-11-911-2026, https://doi.org/10.5194/wes-11-911-2026, 2026
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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.
Monika Pasquali, Oriol Cayon, Spilios Theodoulis, Christophe Farges, Tudor-Bogdan Airimitoaie, Patrick Lanusse, and Roland Schmehl
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Preprint under review for WES
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Predicting critical load events is crucial for reliable autonomous operation of airborne wind energy systems. The present study explores a data-driven approach to predict tether force peaks 1 s in advance, using measurement data from Kitepower's V9 soft-kite system, comprising over 1000 pumping cycles and 26 h of continuous autonomous operation.
Jelle Agatho Wilhelm Poland, Erik Fritz, and Roland Schmehl
Wind Energ. Sci., 11, 1461–1485, https://doi.org/10.5194/wes-11-1461-2026, https://doi.org/10.5194/wes-11-1461-2026, 2026
Short summary
Short summary
We studied how air flows around a rigid-scale model of a soft-wing kite 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 simulations. Measured flow field results confirm numerical predictions.
For the measurements with low uncertainty, the derived lift force quantities also correspond well with numerical predictions.
For the measurements with low uncertainty, the derived lift force quantities also correspond well with numerical predictions.
Dylan Eijkelhof, Nicola Rossi, and Roland Schmehl
Wind Energ. Sci., 11, 1287–1304, https://doi.org/10.5194/wes-11-1287-2026, https://doi.org/10.5194/wes-11-1287-2026, 2026
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This study compares circular and figure-of-eight flight patterns for airborne wind energy systems, evaluating power output, stability, and system lifespan. Findings indicate that circular paths maximise energy generation in confined spaces, while figure-of-eight trajectories, particularly those ascending through the centre, provide smoother, more consistent power and extend kite longevity. These insights contribute to the improved design and performance of kite energy systems.
Oriol Cayon, Vince van Deursen, and Roland Schmehl
Wind Energ. Sci., 11, 1097–1121, https://doi.org/10.5194/wes-11-1097-2026, https://doi.org/10.5194/wes-11-1097-2026, 2026
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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.
Jelle Agatho Wilhelm Poland, Johannes Marinus van Spronsen, Mac Gaunaa, and Roland Schmehl
Wind Energ. Sci., 11, 911–936, https://doi.org/10.5194/wes-11-911-2026, https://doi.org/10.5194/wes-11-911-2026, 2026
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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.
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
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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.
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
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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
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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.
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
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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
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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
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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
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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.
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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 to balance efficiency and stability, enabling faster, more reliable kite development.
Soft inflatable kites are promising tools for renewable applications, but their unusual shape...
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