Preprints
https://doi.org/10.5194/wes-2024-45
https://doi.org/10.5194/wes-2024-45
26 Apr 2024
 | 26 Apr 2024
Status: this preprint is currently under review for the journal WES.

Analysis of a 30 GW offshore wind power scenario in Norway using time-series computed from numerical weather model data

Harald Georg Svendsen and John Olav Giæver Tande

Abstract. This article investigates implications of integrating 30 GW offshore wind in Norway. Wind power time series for relevant locations are analysed using 30 years of hourly numerical weather model reanalysis data. The study presents key statistical properties of the wind power time series. The emphasis lies on correlation, geographical smoothing, and variability across different time scales. These findings hold significant relevance for the strategic planning of offshore wind farm development, and for effectively preparing the energy system to accommodate this extensive wind power deployment that would mean a doubling of the Norwegian electricity generation.

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Harald Georg Svendsen and John Olav Giæver Tande

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2024-45', Anonymous Referee #1, 23 May 2024
  • RC2: 'Comment on wes-2024-45', Anonymous Referee #2, 04 Jun 2024
  • RC3: 'Comment on wes-2024-45', Anonymous Referee #3, 10 Jun 2024
Harald Georg Svendsen and John Olav Giæver Tande
Harald Georg Svendsen and John Olav Giæver Tande

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Short summary
Norway is planning a doubling of its power generation capacity with 30 GW of offshore wind over the next 25 years. To integrate this variable energy resource in the power system requires a good understanding of its characteristics. This paper demonstrates that wind power in the north is uncorrelated with wind in the south, that there is a large smoothing effect on power output, but nevertheless periods of low total wind power output for several days.
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