Universität zu Köln

Weber, Juliane, Reyers, Mark, Beck, Christian, Timme, Marc, Pinto, Joaquim G., Witthaut, Dirk and Schafer, Benjamin (2019). Wind Power Persistence Characterized by Superstatistics. Sci Rep, 9. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

Full text not available from this repository.

Abstract

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 Frechet 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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Weber, Juliane UNSPECIFIED UNSPECIFIED UNSPECIFIED Reyers, Mark UNSPECIFIED UNSPECIFIED UNSPECIFIED Beck, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED Timme, Marc UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto, Joaquim G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Witthaut, Dirk UNSPECIFIED UNSPECIFIED UNSPECIFIED Schafer, Benjamin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-123880
DOI:	10.1038/s41598-019-56286-1
Journal or Publication Title:	Sci Rep
Volume:	9
Date:	2019
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2045-2322
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ELECTRICAL ENERGY-STORAGE; EURO-CORDEX; WEATHER; SYSTEM; SPEED; COST; INTEGRATION; POTENTIALS; REANALYSIS; IMPACTS Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12388