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Performance assessment of a rigid wing Airborne Wind Energy pumping system

Author

Listed:
  • Licitra, G.
  • Koenemann, J.
  • Bürger, A.
  • Williams, P.
  • Ruiterkamp, R.
  • Diehl, M.

Abstract

This paper presents an Optimal Control Problem (OCP) tailored to assess the system performance of a rigid wing Airborne Wind Energy (AWE) pumping system prior to real flight tests. The proposed method is validated against experimental data obtained using a small prototype designed by the Dutch company Ampyx Power B.V. Within such analysis, it is shown that a non-optimized closed-loop flight control system can generate power to within 10% of the open-loop optimal flight trajectories. Additionally, results demonstrate that the system efficiency does not depend on the trajectory topology, though a significant change in terms of trajectory shape is observed for different wind speeds as a result of trajectory constraints.

Suggested Citation

  • Licitra, G. & Koenemann, J. & Bürger, A. & Williams, P. & Ruiterkamp, R. & Diehl, M., 2019. "Performance assessment of a rigid wing Airborne Wind Energy pumping system," Energy, Elsevier, vol. 173(C), pages 569-585.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:569-585
    DOI: 10.1016/j.energy.2019.02.064
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    References listed on IDEAS

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    1. Argatov, I. & Rautakorpi, P. & Silvennoinen, R., 2009. "Estimation of the mechanical energy output of the kite wind generator," Renewable Energy, Elsevier, vol. 34(6), pages 1525-1532.
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    Cited by:

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    2. Ali Arshad Uppal & Manuel C. R. M. Fernandes & Sérgio Vinha & Fernando A. C. C. Fontes, 2021. "Cascade Control of the Ground Station Module of an Airborne Wind Energy System," Energies, MDPI, vol. 14(24), pages 1-25, December.
    3. 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.
    4. Pankaj Kumar & Yashwant Kashyap & Roystan Vijay Castelino & Anabalagan Karthikeyan & Manjunatha Sharma K. & Debabrata Karmakar & Panagiotis Kosmopoulos, 2023. "Laboratory-Scale Airborne Wind Energy Conversion Emulator Using OPAL-RT Real-Time Simulator," Energies, MDPI, vol. 16(19), pages 1-30, September.
    5. Trevisi, Filippo & McWilliam, Michael & Gaunaa, Mac, 2021. "Configuration optimization and global sensitivity analysis of Ground-Gen and Fly-Gen Airborne Wind Energy Systems," Renewable Energy, Elsevier, vol. 178(C), pages 385-402.
    6. 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.
    7. 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).
    8. Eijkelhof, Dylan & Schmehl, Roland, 2022. "Six-degrees-of-freedom simulation model for future multi-megawatt airborne wind energy systems," Renewable Energy, Elsevier, vol. 196(C), pages 137-150.
    9. Jochem De Schutter & Rachel Leuthold & Thilo Bronnenmeyer & Elena Malz & Sebastien Gros & Moritz Diehl, 2023. "AWEbox : An Optimal Control Framework for Single- and Multi-Aircraft Airborne Wind Energy Systems," Energies, MDPI, vol. 16(4), pages 1-32, February.
    10. 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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