Articles | Volume 5, issue 4
Wind Energ. Sci., 5, 1663–1678, 2020
Wind Energ. Sci., 5, 1663–1678, 2020

Research article 26 Nov 2020

Research article | 26 Nov 2020

Mitigation of offshore wind power intermittency by interconnection of production sites

Ida Marie Solbrekke et al.

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Cited articles

Archer, C. L. and Jacobson, M. Z.: Supplying baseload power and reducing transmission requirements by interconnecting wind farms, J. Appl. Meteorol. Clim., 46, 1701–1717,, 2007. a, b
Barnston, A. G. and Livezey, R. E.: Classification, seasonality and persistence of low-frequency atmospheric circulation patterns, Mon. Weather Rev., 115, 1083–1126,<1083:CSAPOL>2.0.CO;2, 1987. a
Barstad, I., Sorteberg, A., and Mesquita, M. D. S.: Present and future offshore wind power potential in northern Europe based on downscaled global climate runs with adjusted SST and sea ice cover, Renew. Energ., 44, 398–405,, 2012. a
Berge, E., Byrkjedal, Ø., Ydersbond, Y., and Kindler, D.: Modelling of offshore wind resources. Comparison of a meso-scale model and measurements from FINO 1 and North Sea oil rigs, in: European Wind Energy Conference and Exhibition EWEC, 16–19 March 2009, Marseille, France, 2009. a
Bosch, J., Staffell, I., and Hawkes, A. D.: Temporally explicit and spatially resolved global offshore wind energy potentials, Energy, 163, 766–781,, 2018. a
Short summary
The potential of collective offshore wind power is quantified using 16 years of hourly wind speed observations. Wind power intermittency is reduced through a hypothetical electricity grid connecting five sites at the Norwegian continental shelf. We identify large-scale atmospheric situations resulting in long-term periods of power shutdown. Wind power variability and risk measures decrease in an interconnected wind power system.