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Value-Driven System Design of Utility-Scale Airborne Wind Energy

Author

Listed:
  • Rishikesh Joshi

    (Faculty of Aerospace Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands)

  • Michiel Kruijff

    (Ampyx Power B.V., 2521 AL The Hague, The Netherlands)

  • Roland Schmehl

    (Faculty of Aerospace Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands)

Abstract

In the current auction-based electricity market, the design of utility-scale renewable energy systems has traditionally been driven by the levelised cost of energy (LCoE). However, the market is gradually moving towards a subsidy-free era, which will expose the power plant owners to the fluctuating prices of electricity. This paper presents a computational approach to account for the influence of time-varying electricity prices on the design of airborne wind energy (AWE) systems. The framework combines an analytical performance model, providing the power curve of the system, with a wind resource characterisation based on ERA5 reanalysis data. The resulting annual energy production (AEP) model is coupled with a parametric cost model based on reference prototype data from Ampyx Power B.V. extended by scaling laws. Ultimately, an energy price model using real-life data from the ENTSO-E platform maintained by the association of EU transmission system operators was used to estimate the revenue profile. This framework was then used to compare the performance of systems based on multiple economic metrics within a chosen design space. The simulation results confirmed the expected behaviour that the electricity produced at lower wind speeds has a higher value than that produced at higher wind speeds. To account for this electricity price dependency on wind speeds in the design process, we propose an economic metric defined as the levelised profit of energy (LPoE). This approach determines the trade-offs between designing a system that minimises cost and designing a system that maximises value.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:2075-:d:1074811
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    References listed on IDEAS

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    1. 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.
    2. Simpson, Juliet & Loth, Eric & Dykes, Katherine, 2020. "Cost of Valued Energy for design of renewable energy systems," Renewable Energy, Elsevier, vol. 153(C), pages 290-300.
    3. 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.
    4. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    5. Yi Zhou & Alun Gu, 2019. "Learning Curve Analysis of Wind Power and Photovoltaics Technology in US: Cost Reduction and the Importance of Research, Development and Demonstration," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    6. Woo, C.K. & Horowitz, I. & Moore, J. & Pacheco, A., 2011. "The impact of wind generation on the electricity spot-market price level and variance: The Texas experience," Energy Policy, Elsevier, vol. 39(7), pages 3939-3944, July.
    7. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    8. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    9. 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.
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