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An evaluation of offshore wind power production by floatable systems: A case study from SW Portugal

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  • Pacheco, A.
  • Gorbeña, E.
  • Sequeira, C.
  • Jerez, S.

Abstract

The challenge for floating offshore wind structures is to reduce costs. The industry needs a wind turbine support solution that can be fabricated and deployed from existing shipyards and port facilities, while investors need accurate estimations and forecasts of wind resources and quantified information on the inherent variability in wind power generation. This paper merges hindcast model data with observed in situ data to characterize the wind resource potential off the SW coast of Portugal. The validation procedure adopted allows an estimation of the coefficient used for power-law extrapolation of the wind measurements and a reduction in the uncertainty of the power density calculations. Different types of turbine model are compared and site metocean characteristics are examined as a basis for choosing between existing wind floatable solutions. The calculations using four different wind turbine models indicate a preferable installed capacity of 3–4 MW for a hub height of 90–120 m (i.e., representing the best capacity factor and load hours). There is a consistent difference in power density of about 20% from a location 5 nautical miles (NM) offshore to one 10 NM offshore, which represents an increment of 20%–25% in energy production depending on the particular wind turbine capacity factor.

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  • Pacheco, A. & Gorbeña, E. & Sequeira, C. & Jerez, S., 2017. "An evaluation of offshore wind power production by floatable systems: A case study from SW Portugal," Energy, Elsevier, vol. 131(C), pages 239-250.
  • Handle: RePEc:eee:energy:v:131:y:2017:i:c:p:239-250
    DOI: 10.1016/j.energy.2017.04.149
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    Cited by:

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    2. Graça Gomes, João & Medeiros Pinto, José & Xu, Huijin & Zhao, Changying & Hashim, Haslenda, 2020. "Modeling and planning of the electricity energy system with a high share of renewable supply for Portugal," Energy, Elsevier, vol. 211(C).
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    4. Fang-Shii Ning & Kuang-Chang Pien & Wei-Jie Liou & Tsung-Chi Cheng, 2024. "Site Selection for Offshore Wind Power Farms with Natural Disaster Risk Assessment: A Case Study of the Waters off Taiwan’s West Coast," Energies, MDPI, vol. 17(11), pages 1-24, June.
    5. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2019. "Global levelised cost of electricity from offshore wind," Energy, Elsevier, vol. 189(C).
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    7. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2018. "Temporally explicit and spatially resolved global offshore wind energy potentials," Energy, Elsevier, vol. 163(C), pages 766-781.
    8. Díaz, H. & Guedes Soares, C., 2020. "An integrated GIS approach for site selection of floating offshore wind farms in the Atlantic continental European coastline," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. Salvação, N. & Guedes Soares, C., 2018. "Wind resource assessment offshore the Atlantic Iberian coast with the WRF model," Energy, Elsevier, vol. 145(C), pages 276-287.
    10. Eugenio Baita-Saavedra & David Cordal-Iglesias & Almudena Filgueira-Vizoso & Laura Castro-Santos, 2019. "Economic Aspects of a Concrete Floating Offshore Wind Platform in the Atlantic Arc of Europe," IJERPH, MDPI, vol. 16(21), pages 1-15, October.
    11. Wasiu Olalekan Idris & Mohd Zamri Ibrahim & Aliashim Albani, 2020. "The Status of the Development of Wind Energy in Nigeria," Energies, MDPI, vol. 13(23), pages 1-16, November.
    12. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    13. Costoya, X. & Rocha, A. & Carvalho, D., 2020. "Using bias-correction to improve future projections of offshore wind energy resource: A case study on the Iberian Peninsula," Applied Energy, Elsevier, vol. 262(C).

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