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Airborne wind energy resource analysis

Author

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  • Bechtle, Philip
  • Schelbergen, Mark
  • Schmehl, Roland
  • Zillmann, Udo
  • Watson, Simon

Abstract

We compare the available wind resources for conventional wind turbines and for airborne wind energy systems. Accessing higher altitudes and continuously adjusting the harvesting operation to the wind resource substantially increases the potential energy yield. The study is based on the ERA5 reanalysis data which covers a period of 7 years with hourly estimates at a surface resolution of 31 × 31 km and a vertical resolution of 137 barometric altitude levels. We present detailed wind statistics for a location in the English Channel and then expand the analysis to a surface grid of Western and Central Europe with a resolution of 110 × 110 km. Over the land mass and coastal areas of Europe we find that compared to a fixed harvesting height at the approximate hub height of wind turbines, the wind power density which is available for 95% of the time increases by a factor of two.

Suggested Citation

  • Bechtle, Philip & Schelbergen, Mark & Schmehl, Roland & Zillmann, Udo & Watson, Simon, 2019. "Airborne wind energy resource analysis," Renewable Energy, Elsevier, vol. 141(C), pages 1103-1116.
  • Handle: RePEc:eee:renene:v:141:y:2019:i:c:p:1103-1116
    DOI: 10.1016/j.renene.2019.03.118
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    References listed on IDEAS

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    8. van der Vlugt, Rolf & Bley, Anna & Noom, Michael & Schmehl, Roland, 2019. "Quasi-steady model of a pumping kite power system," Renewable Energy, Elsevier, vol. 131(C), pages 83-99.
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    Cited by:

    1. Ali, Qazi Shahzad & Kim, Man-Hoe, 2022. "Power conversion performance of airborne wind turbine under unsteady loads," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    2. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    3. Roystan Vijay Castelino & Pankaj Kumar & Yashwant Kashyap & Anabalagan Karthikeyan & Manjunatha Sharma K. & Debabrata Karmakar & Panagiotis Kosmopoulos, 2023. "Exploring the Potential of Kite-Based Wind Power Generation: An Emulation-Based Approach," Energies, MDPI, vol. 16(13), pages 1-22, July.
    4. André F. C. Pereira & João M. M. Sousa, 2022. "A Review on Crosswind Airborne Wind Energy Systems: Key Factors for a Design Choice," Energies, MDPI, vol. 16(1), pages 1-40, December.
    5. Malz, E.C. & Hedenus, F. & Göransson, L. & Verendel, V. & Gros, S., 2020. "Drag-mode airborne wind energy vs. wind turbines: An analysis of power production, variability and geography," Energy, Elsevier, vol. 193(C).
    6. Jelle A. W. Poland & Roland Schmehl, 2023. "Modelling Aero-Structural Deformation of Flexible Membrane Kites," Energies, MDPI, vol. 16(14), pages 1-24, July.
    7. Rishikesh Joshi & Michiel Kruijff & Roland Schmehl, 2023. "Value-Driven System Design of Utility-Scale Airborne Wind Energy," Energies, MDPI, vol. 16(4), pages 1-19, February.
    8. Bórawski, Piotr & Bełdycka-Bórawska, Aneta & Jankowski, Krzysztof Jóżef & Dubis, Bogdan & Dunn, James W., 2020. "Development of wind energy market in the European Union," Renewable Energy, Elsevier, vol. 161(C), pages 691-700.
    9. Manuel C. R. M. Fernandes & Sérgio Vinha & Luís Tiago Paiva & Fernando A. C. C. Fontes, 2022. "L 0 and L 1 Guidance and Path-Following Control for Airborne Wind Energy Systems," Energies, MDPI, vol. 15(4), pages 1-16, February.
    10. Sweder Reuchlin & Rishikesh Joshi & Roland Schmehl, 2023. "Sizing of Hybrid Power Systems for Off-Grid Applications Using Airborne Wind Energy," Energies, MDPI, vol. 16(10), pages 1-15, May.
    11. Mostafa A. Rushdi & Ahmad A. Rushdi & Tarek N. Dief & Amr M. Halawa & Shigeo Yoshida & Roland Schmehl, 2020. "Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning," Energies, MDPI, vol. 13(9), pages 1-23, May.
    12. Mostafa A. Rushdi & Tarek N. Dief & Shigeo Yoshida & Roland Schmehl, 2020. "Towing Test Data Set of the Kyushu University Kite System," Data, MDPI, vol. 5(3), pages 1-18, August.
    13. Watson, Simon & Moro, Alberto & Reis, Vera & Baniotopoulos, Charalampos & Barth, Stephan & Bartoli, Gianni & Bauer, Florian & Boelman, Elisa & Bosse, Dennis & Cherubini, Antonello & Croce, Alessandro , 2019. "Future emerging technologies in the wind power sector: A European perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    14. Nezhad, M. Majidi & Neshat, M. & Groppi, D. & Marzialetti, P. & Heydari, A. & Sylaios, G. & Garcia, D. Astiaso, 2021. "A primary offshore wind farm site assessment using reanalysis data: a case study for Samothraki island," Renewable Energy, Elsevier, vol. 172(C), pages 667-679.
    15. Helena Schmidt & Gerdien de Vries & Reint Jan Renes & Roland Schmehl, 2022. "The Social Acceptance of Airborne Wind Energy: A Literature Review," Energies, MDPI, vol. 15(4), pages 1-24, February.
    16. Malz, E.C. & Verendel, V. & Gros, S., 2020. "Computing the power profiles for an Airborne Wind Energy system based on large-scale wind data," Renewable Energy, Elsevier, vol. 162(C), pages 766-778.

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