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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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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