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Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis

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  • Hayes, Liam
  • Stocks, Matthew
  • Blakers, Andrew

Abstract

Accurate long-term wind speed data is important for understanding the role of offshore wind farms in future energy systems. Meteorological reanalyses, such as ERA5, are relied upon by the wind energy industry and researchers. Being unaffected by onshore topography and surface roughness, the historic generation of offshore wind farms can be accurately predicted using such weather reanalysis.

Suggested Citation

  • Hayes, Liam & Stocks, Matthew & Blakers, Andrew, 2021. "Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis," Energy, Elsevier, vol. 229(C).
  • Handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221008525
    DOI: 10.1016/j.energy.2021.120603
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    3. de Oliveira, M. & Puraca, R.C. & Carmo, B.S., 2022. "Blade-resolved numerical simulations of the NREL offshore 5 MW baseline wind turbine in full scale: A study of proper solver configuration and discretization strategies," Energy, Elsevier, vol. 254(PB).
    4. Kapica, Jacek & Jurasz, Jakub & Canales, Fausto A. & Bloomfield, Hannah & Guezgouz, Mohammed & De Felice, Matteo & Zbigniew, Kobus, 2024. "The potential impact of climate change on European renewable energy droughts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Gualtieri, G., 2022. "Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Italo Fernandes & Felipe M. Pimenta & Osvaldo R. Saavedra & Arcilan T. Assireu, 2022. "Exploring the Complementarity of Offshore Wind Sites to Reduce the Seasonal Variability of Generation," Energies, MDPI, vol. 15(19), pages 1-24, September.
    7. José Rafael Dorrego Portela & Geovanni Hernández Galvez & Quetzalcoatl Hernandez-Escobedo & Ricardo Saldaña Flores & Omar Sarracino Martínez & Orlando Lastres Danguillecourt & Pascual López de Paz & A, 2022. "Microscale Wind Assessment, Comparing Mesoscale Information and Observed Wind Data," Sustainability, MDPI, vol. 14(19), pages 1-12, September.
    8. Yang, Xinrong & Jiang, Xin & Liang, Shijing & Qin, Yingzuo & Ye, Fan & Ye, Bin & Xu, Jiayu & He, Xinyue & Wu, Jie & Dong, Tianyun & Cai, Xitian & Xu, Rongrong & Zeng, Zhenzhong, 2024. "Spatiotemporal variation of power law exponent on the use of wind energy," Applied Energy, Elsevier, vol. 356(C).
    9. Muñoz Ortiz, Miguel & Kvalbein, Lisa & Hellemo, Lars, 2021. "Evaluation of open photovoltaic and wind production time series for Norwegian locations," Energy, Elsevier, vol. 236(C).
    10. Igliński, Bartłomiej & Pietrzak, Michał Bernard & Kiełkowska, Urszula & Skrzatek, Mateusz & Kumar, Gopalakrishnan & Piechota, Grzegorz, 2022. "The assessment of renewable energy in Poland on the background of the world renewable energy sector," Energy, Elsevier, vol. 261(PB).
    11. Geovanni Hernández Galvez & Daniel Chuck Liévano & Omar Sarracino Martínez & Orlando Lastres Danguillecourt & José Rafael Dorrego Portela & Antonio Trujillo Narcía & Ricardo Saldaña Flores & Liliana P, 2022. "Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
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