IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v254y2025ics0960148125013928.html

Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe

Author

Listed:
  • Thomas, B.
  • Costoya, X.
  • deCastro, M.
  • Gómez-Gesteira, M.

Abstract

As global energy demands rise, floating offshore wind farms are expanding in turbine rated power and number, amplifying electricity production losses due to inter-turbine wake effects and leading to higher Levelized Cost of Energy. Therefore, accurately estimating this metric across various farm configurations is essential to pinpoint affordable solutions and locations. Such analysis is conducted in Atlantic Europe using high-resolution wind data from a Coupled Model Intercomparison Project Phase 6 multi-model ensemble, dynamically downscaled to 10-km horizontal resolution using the Weather Research and Forecasting model, and assessed under the Shared Socioeconomic Pathway 2–4.5 for the near future (2030–2059). Electricity production losses from wake effect were estimated using the Frandsen model with wind direction discretized in 8 bins, yielding results similar to more sophisticated but computationally expensive methods. The lowest Levelized Cost of Energy are identified around the United Kingdom and Ireland (∼100 €/MWh), northwestern Spain and French Brittany (110–120 €/MWh). These regions support installed capacity between 400 and 600 MW per square 100 km2 areas, with potential for a 50 % capacity increase if accepting a maximum 3 % rise in cost. Optimal solutions involve 15 MW wind turbines and semi-submersible concrete platforms, utilizing wind farm layouts covering the entire allocated area.

Suggested Citation

  • Thomas, B. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2025. "Identifying floating offshore wind farm designs which minimize Levelized Cost of Energy considering intra-array wake effect in Atlantic Europe," Renewable Energy, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125013928
    DOI: 10.1016/j.renene.2025.123730
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125013928
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123730?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. Laura Castro-Santos & Maite deCastro & Xurxo Costoya & Almudena Filgueira-Vizoso & Isabel Lamas-Galdo & Americo Ribeiro & João M. Dias & Moncho Gómez-Gesteira, 2021. "Economic Feasibility of Floating Offshore Wind Farms Considering Near Future Wind Resources: Case Study of Iberian Coast and Bay of Biscay," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    3. Amin Niayifar & Fernando Porté-Agel, 2016. "Analytical Modeling of Wind Farms: A New Approach for Power Prediction," Energies, MDPI, vol. 9(9), pages 1-13, September.
    4. Cavazzi, S. & Dutton, A.G., 2016. "An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK's offshore wind energy potential," Renewable Energy, Elsevier, vol. 87(P1), pages 212-228.
    5. Pérez, Beatriz & Mínguez, Roberto & Guanche, Raúl, 2013. "Offshore wind farm layout optimization using mathematical programming techniques," Renewable Energy, Elsevier, vol. 53(C), pages 389-399.
    6. Xiaomei Ma & Mengxue Li & Wenquan Li & Yongqian Liu, 2025. "Overview of Offshore Wind Power Technologies," Sustainability, MDPI, vol. 17(2), pages 1-16, January.
    7. Lopez-Pavon, Carlos & Souto-Iglesias, Antonio, 2015. "Hydrodynamic coefficients and pressure loads on heave plates for semi-submersible floating offshore wind turbines: A comparative analysis using large scale models," Renewable Energy, Elsevier, vol. 81(C), pages 864-881.
    8. Thomas, B. & Costoya, X. & deCastro, M. & Iglesias, G. & Gómez-Gesteira, M., 2025. "Levelized cost of energy for various floating offshore wind farm designs in the areas covered by the Spanish maritime spatial planning," Applied Energy, Elsevier, vol. 381(C).
    9. Myhr, Anders & Bjerkseter, Catho & Ågotnes, Anders & Nygaard, Tor A., 2014. "Levelised cost of energy for offshore floating wind turbines in a life cycle perspective," Renewable Energy, Elsevier, vol. 66(C), pages 714-728.
    10. Thomas, B. & Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Wake effect impact on the levelized cost of energy in large floating offshore wind farms: A case of study in the northwest of the Iberian Peninsula," Energy, Elsevier, vol. 304(C).
    11. Ouro, Pablo & Ghobrial, Mina & Ali, Karim & Stallard, Tim, 2025. "Numerical modelling of offshore wind-farm cluster wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
    12. Archer, Cristina L. & Vasel-Be-Hagh, Ahmadreza & Yan, Chi & Wu, Sicheng & Pan, Yang & Brodie, Joseph F. & Maguire, A. Eoghan, 2018. "Review and evaluation of wake loss models for wind energy applications," Applied Energy, Elsevier, vol. 226(C), pages 1187-1207.
    13. Ryan Wiser & Joseph Rand & Joachim Seel & Philipp Beiter & Erin Baker & Eric Lantz & Patrick Gilman, 2021. "Expert elicitation survey predicts 37% to 49% declines in wind energy costs by 2050," Nature Energy, Nature, vol. 6(5), pages 555-565, May.
    14. Ji, Ling & Li, Jiahui & Sun, Lijian & Wang, Shuai & Guo, Junhong & Xie, Yulei & Wang, Xander, 2024. "China's onshore wind energy potential in the context of climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas, B. & Costoya, X. & deCastro, M. & Iglesias, G. & Gómez-Gesteira, M., 2025. "Levelized cost of energy for various floating offshore wind farm designs in the areas covered by the Spanish maritime spatial planning," Applied Energy, Elsevier, vol. 381(C).
    2. Thomas, B. & Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Wake effect impact on the levelized cost of energy in large floating offshore wind farms: A case of study in the northwest of the Iberian Peninsula," Energy, Elsevier, vol. 304(C).
    3. Centeno-Telleria, Manu & Yue, Hong & Carrol, James & Aizpurua, Jose I. & Penalba, Markel, 2024. "O&M-aware techno-economic assessment for floating offshore wind farms: A geospatial evaluation off the North Sea and the Iberian Peninsula," Applied Energy, Elsevier, vol. 371(C).
    4. He, Ziqi & Xu, Wanhai & Sun, Yumeng & Zhang, Xinrui, 2025. "A GIS-based techno-economic comparative assessment of offshore fixed and floating photovoltaic systems: A case study of Hainan," Applied Energy, Elsevier, vol. 391(C).
    5. Satymov, Rasul & Bogdanov, Dmitrii & Breyer, Christian, 2025. "Techno-economics of offshore wind power in global resolution," Applied Energy, Elsevier, vol. 393(C).
    6. Gao, Qiang & Hayward, Jennifer A. & Sergiienko, Nataliia & Khan, Salman Saeed & Hemer, Mark & Ertugrul, Nesimi & Ding, Boyin, 2024. "Detailed mapping of technical capacities and economics potential of offshore wind energy: A case study in South-eastern Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    7. 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).
    8. Laura Serri & Davide Airoldi & Francesco Lanni & Roberto Naldi & Alessio Castorrini & Franco Rispoli & Takvor Soukissian & Laura Castro Santos & Marc Le Boulluec & Christophe Maisondieu, 2024. "Technical and economic challenges for floating offshore wind deployment in Italy and in the Mediterranean Sea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(4), July.
    9. Cao, Lichao & Ge, Mingwei & Gao, Xiaoxia & Du, Bowen & Li, Baoliang & Huang, Zhi & Liu, Yongqian, 2022. "Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines," Applied Energy, Elsevier, vol. 323(C).
    10. Yanez-Rosales, Pablo & Río-Gamero, B. Del & Schallenberg-Rodríguez, Julieta, 2024. "Rationale for selecting the most suitable areas for offshore wind energy farms in isolated island systems. Case study: Canary Islands," Energy, Elsevier, vol. 307(C).
    11. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2019. "Global levelised cost of electricity from offshore wind," Energy, Elsevier, vol. 189(C).
    12. Lin, Hai & Wu, Yan & Cui, Ziyuan & Yang, Sen & Yu, Xinhai & Wang, Yufei, 2025. "An integrated optimization method for distributed wind farm design considering three-dimensional complex terrain," Renewable Energy, Elsevier, vol. 255(C).
    13. Benabadji, Ahmed Soheyb & Rahmoun, Khadidja & Bahar, Faten Attig & Dahani, Abir & Martinez, Abel & Iglesias, Gregorio, 2025. "Geospatial LCOE analysis for floating offshore wind energy in SW Mediterranean Sea," Renewable Energy, Elsevier, vol. 245(C).
    14. Gao, Jianwei & Guo, Fengjia & Ma, Zeyang & Huang, Xin & Li, Xiangzhen, 2020. "Multi-criteria group decision-making framework for offshore wind farm site selection based on the intuitionistic linguistic aggregation operators," Energy, Elsevier, vol. 204(C).
    15. Sun, Haiying & Yang, Hongxing, 2018. "Study on an innovative three-dimensional wind turbine wake model," Applied Energy, Elsevier, vol. 226(C), pages 483-493.
    16. Wu, Yan & Xia, Tianqi & Wang, Yufei & Zhang, Haoran & Feng, Xiao & Song, Xuan & Shibasaki, Ryosuke, 2022. "A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network," Renewable Energy, Elsevier, vol. 185(C), pages 302-320.
    17. Michael F. Howland & John O. Dabiri, 2020. "Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation," Energies, MDPI, vol. 14(1), pages 1-20, December.
    18. Yang, Kun & Deng, Xiaowei & Ti, Zilong & Yang, Shanghui & Huang, Senbin & Wang, Yuhang, 2023. "A data-driven layout optimization framework of large-scale wind farms based on machine learning," Renewable Energy, Elsevier, vol. 218(C).
    19. Shid-Moosavi, Sina & Di Cioccio, Fabrizio & Haghi, Rad & Tronci, Eleonora Maria & Moaveni, Babak & Liberatore, Sauro & Hines, Eric, 2025. "Modeling and experimentally-driven sensitivity analysis of wake-induced power loss in offshore wind farms: Insights from Block Island Wind Farm," Renewable Energy, Elsevier, vol. 241(C).
    20. Javier Serrano González & Bruno López & Martín Draper, 2021. "Optimal Pitch Angle Strategy for Energy Maximization in Offshore Wind Farms Considering Gaussian Wake Model," Energies, MDPI, vol. 14(4), pages 1-18, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125013928. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.