Articles | Volume 10, issue 4
https://doi.org/10.5194/wes-10-695-2025
© Author(s) 2025. 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-10-695-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2025
Research article |
| 14 Apr 2025
| 14 Apr 2025
System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Dominic von Terzi
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
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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.
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Ricardo Amaral, Felix Houtin-Mongrolle, Dominic von Terzi, Kasper Laugesen, Paul Deglaire, and Axelle Viré
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-34, https://doi.org/10.5194/wes-2025-34, 2025
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Nils Barfknecht and Dominic von Terzi
Wind Energ. Sci., 10, 315–346, https://doi.org/10.5194/wes-10-315-2025, https://doi.org/10.5194/wes-10-315-2025, 2025
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Maria Cristina Vitulano, Delphine De Tavernier, Giuliano De Stefano, and Dominic von Terzi
Wind Energ. Sci., 10, 103–116, https://doi.org/10.5194/wes-10-103-2025, https://doi.org/10.5194/wes-10-103-2025, 2025
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Oriol Cayon, Simon Watson, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-182, https://doi.org/10.5194/wes-2024-182, 2025
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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
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Mihir Kishore Mehta, Michiel Zaaijer, and Dominic von Terzi
Wind Energ. Sci., 9, 2283–2300, https://doi.org/10.5194/wes-9-2283-2024, https://doi.org/10.5194/wes-9-2283-2024, 2024
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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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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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Maaike Sickler, Bart Ummels, Michiel Zaaijer, Roland Schmehl, and Katherine Dykes
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Mark Schelbergen, Peter C. Kalverla, Roland Schmehl, and Simon J. Watson
Wind Energ. Sci., 5, 1097–1120, https://doi.org/10.5194/wes-5-1097-2020, https://doi.org/10.5194/wes-5-1097-2020, 2020
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Jan Hummel, Dietmar Göhlich, and Roland Schmehl
Wind Energ. Sci., 4, 41–55, https://doi.org/10.5194/wes-4-41-2019, https://doi.org/10.5194/wes-4-41-2019, 2019
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Johannes Oehler and Roland Schmehl
Wind Energ. Sci., 4, 1–21, https://doi.org/10.5194/wes-4-1-2019, https://doi.org/10.5194/wes-4-1-2019, 2019
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Tarek N. Dief, Uwe Fechner, Roland Schmehl, Shigeo Yoshida, Amr M. M. Ismaiel, and Amr M. Halawa
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Related subject area
Thematic area: Wind technologies | Topic: Airborne technology
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A small-scale and autonomous testbed for three-line delta kites applied to airborne wind energy
Measurement of the turning behaviour of tethered membrane wings using automated flight manoeuvres
Power curve modelling and scaling of fixed-wing ground-generation airborne wind energy systems
Swinging motion of a kite with suspended control unit flying turning manoeuvres
Dynamic analysis of the tensegrity structure of a rotary airborne wind energy machine
Wake characteristics of a balloon wind turbine and aerodynamic analysis of its balloon using a large eddy simulation and actuator disk model
Refining the airborne wind energy system power equations with a vortex wake model
Impact of wind profiles on ground-generation airborne wind energy system performance
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Scaling effects of fixed-wing ground-generation airborne wind energy systems
Parameter analysis of a multi-element airfoil for application to airborne wind energy
Dominik Felix Duda, Hendrik Fuest, Tobias Islam, and Dieter Moormann
Wind Energ. Sci., 10, 661–678, https://doi.org/10.5194/wes-10-661-2025, https://doi.org/10.5194/wes-10-661-2025, 2025
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The use of flying wings in airborne wind energy systems (AWESs) is promising. This paper develops a guidance concept for launching and landing of such a flying wing AWES. The fundamental challenges are presented, and a suitable guidance concept is identified. It is analyzed in terms of controllability at different wind speeds and guidance parameters allowing the design of a controller. Simulation results show that the guidance concept presented here facilitates the desired launching and landing.
Francisco DeLosRíos-Navarrete, Jorge González-García, Iván Castro-Fernández, and Gonzalo Sánchez-Arriaga
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-170, https://doi.org/10.5194/wes-2024-170, 2024
Revised manuscript accepted for WES
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This work presents a small-scale machine capable of flying delta kites with 3 lines for Airborne Wind Energy research, that is, the extraction of energy from high-altitude winds using aircraft. Its built-in controller allows it to operate autonomously, demonstrated by two test flights which are presented and compared. Additionally, the results obtained by the analysis of the data will help to further improve the control and better understand the behavior of these devices.
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
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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
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.
Gonzalo Sánchez-Arriaga, Álvaro Cerrillo-Vacas, Daniel Unterweger, and Christof Beaupoil
Wind Energ. Sci., 9, 1273–1287, https://doi.org/10.5194/wes-9-1273-2024, https://doi.org/10.5194/wes-9-1273-2024, 2024
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Rotary airborne wind energy (RAWE) machines transform wind energy into electric energy by transmitting the mechanical torque produced on a rotor to a generator on the ground by using its own structure, which is a spinning helix. Having a good understanding of the behavior of the helix is crucial in the design of RAWE machines. This work presents a theoretical model to simulate the helix’s dynamics and experimental tests to characterize it.
Aref Ehteshami and Mostafa Varmazyar
Wind Energ. Sci., 8, 1771–1793, https://doi.org/10.5194/wes-8-1771-2023, https://doi.org/10.5194/wes-8-1771-2023, 2023
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In this paper, we numerically studied the wake characteristics and aerodynamics of a balloon wind turbine, an airborne system operating at altitudes of about 400–1000 m. The system can benefit from a stronger and steady wind flow at these altitudes. Results contribute to the wake structure and the magnitude of aerodynamic loads on the balloon in varying wind conditions at high altitudes. Findings are valuable in designing future optimized wind farms and control systems for balloon wind turbines.
Filippo Trevisi, Carlo E. D. Riboldi, and Alessandro Croce
Wind Energ. Sci., 8, 1639–1650, https://doi.org/10.5194/wes-8-1639-2023, https://doi.org/10.5194/wes-8-1639-2023, 2023
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The power equations of crosswind Ground-Gen and Fly-Gen airborne wind energy systems (AWESs) are refined to include the contribution from the aerodynamic wake. A novel power coefficient is defined by normalizing the aerodynamic power with the wind power passing through a disk with a radius equal to the AWES wingspan, allowing us to compare systems with different wingspans. Ground-Gen and Fly-Gen AWESs are compared in terms of their aerodynamic power potential.
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 8, 1153–1178, https://doi.org/10.5194/wes-8-1153-2023, https://doi.org/10.5194/wes-8-1153-2023, 2023
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This study investigates the performance of pumping-mode ground-generation airborne wind energy systems by determining power-optimal flight trajectories based on realistic, k-means clustered, vertical wind velocity profiles. These profiles, derived from mesoscale weather simulations at an offshore and an onshore site in Europe, are incorporated into an optimal control model that maximizes average cycle power by optimizing the kite's trajectory.
Filippo Trevisi, Iván Castro-Fernández, Gregorio Pasquinelli, Carlo Emanuele Dionigi Riboldi, and Alessandro Croce
Wind Energ. Sci., 7, 2039–2058, https://doi.org/10.5194/wes-7-2039-2022, https://doi.org/10.5194/wes-7-2039-2022, 2022
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The optimal control problem for the flight trajectories of Fly-Gen AWESs is expressed with a novel methodology in the frequency domain through a harmonic balance formulation. The solution gives the optimal trajectory and the optimal control inputs. Optimal trajectories have a circular shape squashed along the vertical direction, and the optimal control inputs can be modeled with only one or two harmonics. Analytical approximations for optimal trajectory characteristics are also given.
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 7, 1847–1868, https://doi.org/10.5194/wes-7-1847-2022, https://doi.org/10.5194/wes-7-1847-2022, 2022
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This research explores the ground-generation airborne wind energy system (AWES) design space and investigates scaling effects by varying design parameters such as aircraft wing size, aerodynamic efficiency and mass. Therefore, representative simulated onshore and offshore wind data are implemented into an AWES trajectory optimization model. We estimate optimal annual energy production and capacity factors as well as a minimal operational lift-to-weight ratio.
Gianluca De Fezza and Sarah Barber
Wind Energ. Sci., 7, 1627–1640, https://doi.org/10.5194/wes-7-1627-2022, https://doi.org/10.5194/wes-7-1627-2022, 2022
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As part of a master's thesis, this study analysed the aerodynamic performance of a multi-element airfoil using numerical flow simulations. The results show that these types of airfoil are very suitable for an upcoming wind energy generation concept. The parametric study of the wing led to a significant improvement of up to 46.6 % compared to the baseline design. The increased power output of the energy generation concept contributes substantially to today's energy transition.
Cited articles
Anderson, J. D.: Fundamentals of Aerodynamics, in: 6th Edn., McGraw-Hill, ISBN 10:1259129918, 2016. a
Bechtle, P., Schelbergen, M., Schmehl, R., Zillmann, U., and Watson, S.: Airborne wind energy resource analysis, Renew. Energy, 141, 1103–1116, https://doi.org/10.1016/j.renene.2019.03.118, 2019. a
Bosman, R., Reid, V., Vlasblom, M., and Smeets, P.: Airborne Wind Energy Tethers with High-Modulus Polyethylene Fibers, in: Airborne Wind Energy, Green Energy and Technology, chap. 33, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 563–585, https://doi.org/10.1007/978-3-642-39965-7_33, 2013. a, b, c
BVG Associates: Wind farm costs – Guide to an offshore wind farm, https://guidetoanoffshorewindfarm.com/wind-farm-costs (last access: 20 March 32023), 2019. a
BVG Associates: Getting airborne – the need to realise the benefits of airborne wind energy for net zero, Tech. rep., BVG Associates on behalf of Airborne Wind Europe, Zenodo, https://doi.org/10.5281/zenodo.7809185, 2022. a, b
Canet, H., Bortolotti, P., and Bottasso, C L.: On the scaling of wind turbine rotors, Wind Energ. Sci., 6, 601–626, https://doi.org/10.5194/wes-6-601-2021, 2021. 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, MS thesis, Delft University of Technology, http://resolver.tudelft.nl/uuid:55533d19-21e1-4851-bf7c-7f3af008aaaa (last access: 9 April 2025), 2014. a
de Souza Range, A., de Souza Santos, J. C., and Savoia, J. R. F.: Modified Profitability Index and Internal Rate of Return, J. Int. Business Econ., 4, 13–18, https://doi.org/10.15640/jibe.v4n2a2, 2016. a, b
Diehl, M.: Airborne Wind Energy: Basic Concepts and Physical Foundations, in: Airborne Wind Energy, Green Energy and Technology, chap. 1, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 3–22, https://doi.org/10.1007/978-3-642-39965-7_1, 2013. a
Eijkelhof, D. and Schmehl, R.: Performance vs. Mass of Box Wing Designs Using Parametrised Finite Element Modelling, in: The 10th International Airborne Wind Energy Conference (AWEC 2024): Book of Abstracts, edited by: Sánchez-Arriaga, G., Thoms, S., and Schmehl, R., Delft University of Technology, Madrid, Spain, https://repository.tudelft.nl/record/uuid:1738907f-d750-4854-bbcc-535dbd11ba63 (last access: 9 April 2025), 2024. a
European Commission: Study on Challenges in the commercialisation of airborne wind energy systems, Tech. rep., European Commission, https://doi.org/10.2777/87591, 2018. a
Faggiani, P. and Schmehl, R.: Design and Economics of a Pumping Kite Wind Park, in: Airborne Wind Energy – Advances in Technology Development and Research, Green Energy and Technology, chap. 16, edited by: Schmehl, R., Springer, Singapore, 391–411, https://doi.org/10.1007/978-981-10-1947-0_16, 2018. a, b, c
Fagiano, L., Quack, M., Bauer, F., Carnel, L., and Oland, E.: Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges, Annu. Rev. Contr. Robot. Autonom. Syst., 5, 603–631, https://doi.org/10.1146/annurev-control-042820-124658, 2022. a
Gambier, A., Koprek, I., Wolken-Mohlmann, G., and Vincent Redeker, K.: Projekt OnKites: Untersuchung zu den Potentialen von Flugwindenergieanlagen (FWEA), Final project report, Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Bremerhaven, Germany, https://doi.org/10.2314/GBV:81573428X, 2014. a, b
Gambier, A., Bastigkeit, I., and Nippold, E.: Projekt OnKites II: Untersuchung zu den Potentialen von Flugwindenergieanlagen (FWEA) Phase II, Final project report, Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Bremerhaven, Germany, https://doi.org/10.2314/GBV:1009915452, 2017. a, b
Garcia-Sanz, M.: A Metric Space with LCOE Isolines for Research Guidance in wind and hydrokinetic energy systems, Wind Energy, 23, 291–311, https://doi.org/10.1002/we.2429, 2020. a
Hagen, L. V., 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
Heilmann, J. and Houle, C.: Economics of Pumping Kite Generators, in: Airborne Wind Energy, Green Energy and Technology, chap. 15, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 271–284, https://doi.org/10.1007/978-3-642-39965-7_15, 2013. a, b, c, d
IEA Wind TCP: IEA Wind Task 48 on Airborne Wind Energy, https://iea-wind.org/task48/ (last access: 24 October 2024), 2021. a
IEC – International Electrotechnical Commission: Wind energy generation systems – Part 1: Design requirements (IEC 61400-1:2019,IDT), Tech. Rep. IEC 61400-1, IEC – International Electrotechnical Commission, Geneva, Switzerland, https://webstore.iec.ch/en/publication/26423 (last access: 9 April 2025), 2019. a
IRENA: Renewable power generation costs in 2023, Tech. rep., International Renewable Energy Agency, https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2024/Sep/IRENA_Renewable_power_generation_costs_in_2023.pdf (last access: 9 April 2025), 2023. a
Joshi, R.: AWE-SE (v0.1.0), Zenodo [code], https://doi.org/10.5281/zenodo.15187607, 2025. a
Joshi, R. and Trevisi, F.: Reference economic model for airborne wind energy systems, Technical report, IEA Wind TCP Task 48 “Airborne Wind Energy”', Zenodo, https://doi.org/10.5281/zenodo.10959930, 2024. a, b
Joshi, R., von Terzi, D., Kruijff, M., and Schmehl, R.: Techno-economic analysis of power smoothing solutions for pumping airborne wind energy systems, J. Phys.: Conf. Ser., 2265, 042069, https://doi.org/10.1088/1742-6596/2265/4/042069, 2022. a, b, c, d
Joshi, R., Kruijff, M., and Schmehl, R.: Value-Driven System Design of Utility-Scale Airborne Wind Energy, Energies, 16, 2075, https://doi.org/10.3390/en16042075, 2023. a, b, c
Lambe, A. B. and Martins, J. R. R. A.: Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes, Struct. Multidisciplin. Optimiz., 46, 273–284, https://doi.org/10.1007/s00158-012-0763-y, 2012. a
Malz, E. C., Walter, V., Göransson, L., and Gros, S.: The value of airborne wind energy to the electricity system, Wind Energy, 25, 281–299, https://doi.org/10.1002/we.2671, 2022. a, b
Mehta, M., Zaaijer, M., and von Terzi, D.: Drivers for optimum sizing of wind turbines for offshore wind farms, Wind Energ. Sci., 9, 141–163, https://doi.org/10.5194/wes-9-141-2024, 2024a. a, b, c
Mehta, M. K., Zaaijer, M., and von Terzi, D.: Designing wind turbines for profitability in the day-ahead market, Wind Energ. Sci., 9, 2283–2300, https://doi.org/10.5194/wes-9-2283-2024, 2024b. a, b
Peterson, E. W. and Hennessey, J. P. J.: On the use of power laws for estimates of wind power potential, J. Appl. Meteorol. Clim. Search, 17, 390–394, https://doi.org/10.1175/1520-0450(1978)017<0390:OTUOPL>2.0.CO;2, 1978. a
Ramasamy, V., Zuboy, J., O’Shaughnessy, E., Feldman, D., Desai, J., Woodhouse, M., Basore, P., and Margolis1, R.: U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks, With Minimum Sustainable Price Analysis: Q1 2022, Tech. rep., National Renewable Energy Laboratory, https://www.nrel.gov/docs/fy22osti/83586.pdf (last access: 9 April 2025), 2022. a
Salma, V. and Schmehl, R.: Operation Approval for Commercial Airborne Wind Energy Systems, Energies, 16, 3264, https://doi.org/10.3390/en16073264, 2023. a
Sánchez-Arriaga, G., Thoms, S., and Schmehl, R. (Eds.): The International Airborne Wind Energy Conference 2024: Book of Abstracts, Delft University of Technology, Madrid, Spain, https://doi.org/10.4233/uuid:85fd0eb1-83ec-4e34-9ac8-be6b32082a52, 2024. a
Schmehl, R., Noom, M., and Van der Vlugt, R.: Traction Power Generation with Tethered Wings, in: Airborne Wind Energy, Green Energy and Technology, Chap. 2, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 23–45, https://doi.org/10.1007/978-3-642-39965-7_2, 2013. a, b
Simpson, J., Loth, E., and Dykes, K.: Cost of Valued Energy for design of renewable energy systems, Renew. Energy, 153, 290–300, https://doi.org/10.1016/j.renene.2020.01.131, 2020. a, b
Sommerfeld, M., Dörenkämper, M., Schutter, J. D., and Crawford, C.: Scaling effects of fixed-wing ground-generation airborne wind energy systems, Wind Energ. Sci., 7, 1847–1868, https://doi.org/10.5194/wes-7-1847-2022, 2022. a
Stehly, T., Beiter, P., and Duffy, P.: 2019 Cost of Wind Energy Review, Tech. rep., National Renewable Energy Laboratory, https://www.nrel.gov/docs/fy21osti/78471.pdf (last access: 9 April 2025), 2020. a
Trevisi, F. and Croce, A.: Given a wingspan, which windplane design maximizes power?, J. Phys.: Conf. Ser., 2767, 072014, https://doi.org/10.1088/1742-6596/2767/7/072014, 2024. a
Trevisi, F., Riboldi, C. E. D., and Croce, A.: Refining the airborne wind energy system power equations with a vortex wake model, Wind Energ. Sci., 8, 1639–1650, https://doi.org/10.5194/wes-8-1639-2023, 2023. a, b
US DOE – Department of Energy: Challenges and Opportunities for Airborne Wind Energy in the United States, Report to Congress, https://www.energy.gov/sites/default/files/2021-12/report-to-congress-challenges-opportunities-airborne-wind (last access: 9 April 2025), 2021. a
Van der Vlugt, R., Bley, A., Noom, M., and Schmehl, R.: Quasi-steady model of a pumping kite power system, Renew. Energy, 131, 83–99, https://doi.org/10.1016/j.renene.2018.07.023, 2019. a, b
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, Annu. Rev. Control, 52, 330–357, https://doi.org/10.1016/j.arcontrol.2021.03.002, 2021. a
Vimalakanthan, K., Caboni, M., Schepers, J., Pechenik, E., and Williams, P.: Aerodynamic analysis of ampyx's airborne wind energy system, J. Phys.: Conf. Ser., 1037, 062008, https://doi.org/10.1088/1742-6596/1037/6/062008, 2018. a
Vos, H., Lombardi, F., Joshi, R., Schmehl, R., and Pfenninger, S.: The potential role of airborne and floating wind in the North Sea region, Environ. Res.: Energy, 1, 025002, https://doi.org/10.1088/2753-3751/ad3fbc, 2024. a, b
Weber, J., Marquis, M., Cooperman, A., Draxl, C., Hammond, R., Jonkman, J., Lemke, A., Lopez, A., Mudafort, R., Optis, M., Roberts, O., and Shields, M.: Airborne Wind Energy, Tech. Rep. NREL/TP-5000-79992, National Renewable Energy Laboratory, Golden, CO, https://www.nrel.gov/docs/fy21osti/79992.pdf (last access: 9 April 2025), 2021. a
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.
This paper presents a methodology for assessing the system design and scaling trends in airborne...
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