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The techno-economic potential of offshore wind energy with optimized future turbine designs in Europe

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  • Caglayan, Dilara Gulcin
  • Ryberg, David Severin
  • Heinrichs, Heidi
  • Linßen, Jochen
  • Stolten, Detlef
  • Robinius, Martin

Abstract

Renewable energy sources will play a central role in the sustainable energy systems of the future. Scenario analyses of the hypothesized energy systems require sound knowledge of the techno-economic potential of renewable energy technologies. Although there have been various studies concerning the potential of offshore wind energy, higher spatial resolution as well as the future design concepts of offshore wind turbines have not yet been addressed in sufficient detail. This work aims to overcome this gap by applying a high spatial resolution to the three main aspects of offshore wind potential analysis, namely: ocean suitability, the simulation of wind turbines, and cost estimation. A set of constraints is determined that reveal the available areas for turbine placement across Europe’s maritime boundaries. Then, turbine designs specific to each location are selected by identifying turbines with the cheapest levelized cost of electricity, restricted to capacities, hub heights and rotor diameters ranges predicted by industry experts. Ocean eligibility and turbine design are then combined to distribute turbines across the available areas. Finally, levelized cost of electricity trends are calculated from the individual turbine costs, as well as the corresponding capacity factor obtained by hourly simulation with wind speeds from 1980 to 2017. The results of cost-optimal turbine designing reveal that the overall potential for offshore wind energy across Europe will constitute nearly 8.6TW and 40.0PWh at roughly 7€ctkWh−1 average levelized cost of electricity by 2050. Averaged design parameters at national level are provided in an Appendix.

Suggested Citation

  • Caglayan, Dilara Gulcin & Ryberg, David Severin & Heinrichs, Heidi & Linßen, Jochen & Stolten, Detlef & Robinius, Martin, 2019. "The techno-economic potential of offshore wind energy with optimized future turbine designs in Europe," Applied Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919314813
    DOI: 10.1016/j.apenergy.2019.113794
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    Cited by:

    1. G.S. Chebotareva & A.A. Dvinayninov, 2021. "An Economic Alternative to Replacing Centralized Gas Supply with Autonomous Biogas Facilities in Russian Cities," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(3), pages 582-612.
    2. Martinez, A. & Iglesias, G., 2022. "Mapping of the levelised cost of energy for floating offshore wind in the European Atlantic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    3. Stanley Risch & Rachel Maier & Junsong Du & Noah Pflugradt & Peter Stenzel & Leander Kotzur & Detlef Stolten, 2022. "Potentials of Renewable Energy Sources in Germany and the Influence of Land Use Datasets," Energies, MDPI, vol. 15(15), pages 1-25, July.
    4. Xu, Xinxin & Robertson, Bryson & Buckham, Bradley, 2020. "A techno-economic approach to wave energy resource assessment and development site identification," Applied Energy, Elsevier, vol. 260(C).
    5. Majidi Nezhad, Meysam & Heydari, Azim & Neshat, Mehdi & Keynia, Farshid & Piras, Giuseppe & Garcia, Davide Astiaso, 2022. "A Mediterranean Sea Offshore Wind classification using MERRA-2 and machine learning models," Renewable Energy, Elsevier, vol. 190(C), pages 156-166.
    6. Liu, Xiong & Liang, Shi & Li, Gangqiang & Godbole, Ajit & Lu, Cheng, 2020. "An improved dynamic stall model and its effect on wind turbine fatigue load prediction," Renewable Energy, Elsevier, vol. 156(C), pages 117-130.
    7. Dupré la Tour, Marie-Alix, 2023. "Photovoltaic and wind energy potential in Europe – A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    8. Eric Stefan Miele & Nicole Ludwig & Alessandro Corsini, 2023. "Multi-Horizon Wind Power Forecasting Using Multi-Modal Spatio-Temporal Neural Networks," Energies, MDPI, vol. 16(8), pages 1-15, April.
    9. Rivarolo, M. & Freda, A. & Traverso, A., 2020. "Test campaign and application of a small-scale ducted wind turbine with analysis of yaw angle influence," Applied Energy, Elsevier, vol. 279(C).
    10. Li, Ming & Cao, Sunliang & Zhu, Xiaolin & Xu, Yang, 2022. "Techno-economic analysis of the transition towards the large-scale hybrid wind-tidal supported coastal zero-energy communities," Applied Energy, Elsevier, vol. 316(C).
    11. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2022. "A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty," Applied Energy, Elsevier, vol. 321(C).
    12. Wu, Yunna & Liu, Fangtong & Wu, Junhao & He, Jiaming & Xu, Minjia & Zhou, Jianli, 2022. "Barrier identification and analysis framework to the development of offshore wind-to-hydrogen projects," Energy, Elsevier, vol. 239(PB).
    13. Mingxin Li & James Carroll & Ahmad Sukri Ahmad & Nor Shahida Hasan & M. Zaid B. Zolkiffly & Gboyega Bishop Falope & Khalik Mohamad Sabil, 2023. "Potential of Offshore Wind Energy in Malaysia: An Investigation into Wind and Bathymetry Conditions and Site Selection," Energies, MDPI, vol. 17(1), pages 1-17, December.
    14. Sofia Agostinelli & Fabrizio Cumo & Meysam Majidi Nezhad & Giuseppe Orsini & Giuseppe Piras, 2022. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy," Energies, MDPI, vol. 15(5), pages 1-24, March.
    15. Hu, Wenyu & E, Jiaqiang & Zhang, Feng & Chen, Jingwei & Ma, Yinjie & Leng, Erwei, 2022. "Investigation on cooperative mechanism between convective wind energy harvesting and dust collection during vehicle driving on the highway," Energy, Elsevier, vol. 260(C).
    16. Kikuchi, Yuka & Ishihara, Takeshi, 2023. "Assessment of capital expenditure for fixed-bottom offshore wind farms using probabilistic engineering cost model," Applied Energy, Elsevier, vol. 341(C).
    17. Benjamin Pakenham & Anna Ermakova & Ali Mehmanparast, 2021. "A Review of Life Extension Strategies for Offshore Wind Farms Using Techno-Economic Assessments," Energies, MDPI, vol. 14(7), pages 1-23, March.
    18. Ortiz-Imedio, Rafael & Caglayan, Dilara Gulcin & Ortiz, Alfredo & Heinrichs, Heidi & Robinius, Martin & Stolten, Detlef & Ortiz, Inmaculada, 2021. "Power-to-Ships: Future electricity and hydrogen demands for shipping on the Atlantic coast of Europe in 2050," Energy, Elsevier, vol. 228(C).
    19. Lin, Zi & Liu, Xiaolei, 2020. "Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network," Energy, Elsevier, vol. 201(C).
    20. Xuan Hoi Bui & Phuong Thao Nguyen, 2022. "Determining the Offshore Wind Power Potential in the Mix-electric Power of Vietnam: The Role of Feed-in Tariff Policy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 11-19, March.

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