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Co-Design of a Wind–Hydrogen System: The Effect of Varying Wind Turbine Types on Techno-Economic Parameters

Author

Listed:
  • Thorsten Reichartz

    (Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany)

  • Georg Jacobs

    (Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany)

  • Lucas Blickwedel

    (Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany)

  • Dustin Frings

    (Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany)

  • Ralf Schelenz

    (Chair for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany)

Abstract

Green hydrogen is crucial for achieving climate neutrality and replacing fossil fuels in processes that are hard to electrify. Wind farms producing electricity and hydrogen can help mitigate stress on electricity grids and enable new markets for operators. While optimizing wind farms for electricity production is well-established, optimizing combined wind–hydrogen systems is a relatively new research field. This study examines the potential profit of wind–hydrogen systems by conducting a case study of an onshore wind farm near the North Sea. Varying turbine types from high wind-speed turbines (with high annual energy production) to low wind-speed turbines (with high full-load hours) are examined. Findings indicate that in a combined hydrogen system, the low wind-speed turbines, which are sub-optimal for mere electricity production, yield lower levelized costs of hydrogen at a higher hydrogen production. Although high wind-speed turbines generate higher profits under current market conditions, at high hydrogen prices and low electricity prices, low wind-speed turbines can yield higher total profit at this site. Therefore, an integrated optimization approach of wind–hydrogen systems can, in certain cases, lead to better results compared to an isolated, sequential optimization of each individual system.

Suggested Citation

  • Thorsten Reichartz & Georg Jacobs & Lucas Blickwedel & Dustin Frings & Ralf Schelenz, 2024. "Co-Design of a Wind–Hydrogen System: The Effect of Varying Wind Turbine Types on Techno-Economic Parameters," Energies, MDPI, vol. 17(18), pages 1-17, September.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4710-:d:1482742
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    References listed on IDEAS

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    1. Hermesmann, M. & Grübel, K. & Scherotzki, L. & Müller, T.E., 2021. "Promising pathways: The geographic and energetic potential of power-to-x technologies based on regeneratively obtained hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    2. González, J. Serrano & Rodríguez, Á.G. González & Mora, J. Castro & Burgos Payán, M. & Santos, J. Riquelme, 2011. "Overall design optimization of wind farms," Renewable Energy, Elsevier, vol. 36(7), pages 1973-1982.
    3. Buttler, Alexander & Spliethoff, Hartmut, 2018. "Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2440-2454.
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