Articles | Volume 4, issue 3
https://doi.org/10.5194/wes-4-515-2019
https://doi.org/10.5194/wes-4-515-2019
Research article
 | 
12 Sep 2019
Research article |  | 12 Sep 2019

Significant multidecadal variability in German wind energy generation

Jan Wohland, Nour Eddine Omrani, Noel Keenlyside, and Dirk Witthaut

Data sets

ERA-20C, Daily ECMWF http://apps.ecmwf.int/datasets/data/era20c-daily/levtype=sfc/type=an/

Twentieth Century Reanalysis (V2c): 4-times Daily and Daily Average Monolevel NOAA https://www.esrl.noaa.gov/psd/data/gridded/data.20thC_ReanV2c.monolevel.html

Renewable power plants Open Power System Data https://data.open-power-system-data.org/renewable_power_plants/

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Short summary
Wind park planning and power system design require robust wind resource information. While most assessments are restricted to the last four decades, we use centennial reanalyses to study wind energy generation variability in Germany. We find that statistically significant multi-decadal variability exists. These long-term effects must be considered when planning future highly renewable power systems. Otherwise, there is a risk of inefficient system design and ill-informed investments.
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