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001     872567
005     20220930130227.0
024 7 _ |a 10.1038/s41598-019-56286-1
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037 _ _ |a FZJ-2020-00073
082 _ _ |a 600
100 1 _ |a Weber, Juliane
|0 P:(DE-Juel1)169298
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245 _ _ |a Wind power persistence characterized by superstatistics
260 _ _ |a [London]
|c 2019
|b Macmillan Publishers Limited, part of Springer Nature
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520 _ _ |a Mitigating climate change demands a transition towards renewable electricity generation, with wind power being a particularly promising technology. Long periods either of high or of low wind therefore essentially define the necessary amount of storage to balance the power system. While the general statistics of wind velocities have been studied extensively, persistence (waiting) time statistics of wind is far from well understood. Here, we investigate the statistics of both high- and low-wind persistence. We find heavy tails and explain them as a superposition of different wind conditions, requiring q-exponential distributions instead of exponential distributions. Persistent wind conditions are not necessarily caused by stationary atmospheric circulation patterns nor by recurring individual weather types but may emerge as a combination of multiple weather types and circulation patterns. This also leads to Fréchet instead of Gumbel extreme value statistics. Understanding wind persistence statistically and synoptically may help to ensure a reliable and economically feasible future energy system, which uses a high share of wind generation.
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536 _ _ |a CoNDyNet - Kollektive Nichtlineare Dynamik Komplexer Stromnetze (PIK_082017)
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536 _ _ |a CoNDyNet 2 - Kollektive Nichtlineare Dynamik Komplexer Stromnetze (BMBF-03EK3055B)
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536 _ _ |a VH-NG-1025 - Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" (VH-NG-1025_20112014)
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700 1 _ |a Reyers, Mark
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700 1 _ |a Beck, Christian
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700 1 _ |a Timme, Marc
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700 1 _ |a Pinto, Joaquim G.
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700 1 _ |a Witthaut, Dirk
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700 1 _ |a Schäfer, Benjamin
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773 _ _ |a 10.1038/s41598-019-56286-1
|g Vol. 9, no. 1, p. 19971
|0 PERI:(DE-600)2615211-3
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|t Scientific reports
|v 9
|y 2019
|x 2045-2322
856 4 _ |u https://juser.fz-juelich.de/record/872567/files/invoice_2676167943.pdf
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