Abstract

The growing share of variable renewable energy increases the meteorological sensitivity of power systems. This study investigates if large-scale weather regimes capture the influence of meteorological variability on the European energy sector. For each weather regime, the associated changes to wintertime—mean and extreme—wind and solar power production, temperature-driven energy demand and energy shortfall (residual load) are explored. Days with a blocked circulation pattern, i.e. the ‘Scandinavian Blocking’ and ‘North Atlantic Oscillation negative’ regimes, on average have lower than normal renewable power production, higher than normal energy demand and therefore, higher than normal energy shortfall. These average effects hide large variability of energy parameters within each weather regime. Though the risk of extreme high energy shortfall events increases in the two blocked regimes (by a factor of 1.5 and 2.0, respectively), it is shown that such events occur in all regimes. Extreme high energy shortfall events are the result of rare circulation types and smaller-scale features, rather than extreme magnitudes of common large-scale circulation types. In fact, these events resemble each other more strongly than their respective weather regime mean pattern. For (sub-)seasonal forecasting applications weather regimes may be of use for the energy sector. At shorter lead times or for more detailed system analyses, their ineffectiveness at characterising extreme events limits their potential.

Details

Title
The influence of weather regimes on European renewable energy production and demand
Author
van der Wiel, Karin 1   VIAFID ORCID Logo  ; Bloomfield, Hannah C 2   VIAFID ORCID Logo  ; Lee, Robert W 3   VIAFID ORCID Logo  ; Stoop, Laurens P 4   VIAFID ORCID Logo  ; Blackport, Russell 5 ; Screen, James A 5   VIAFID ORCID Logo  ; Selten, Frank M 1 

 Royal Netherlands Meteorological Institute, De Bilt, The Netherlands 
 Department of Meteorology, University of Reading, Reading, United Kingdom 
 National Centre for Atmospheric Science, Reading, United Kingdom; Department of Meteorology, University of Reading, Reading, United Kingdom 
 Research Institute of Informatics and Computer Science, Utrecht University, Utrecht, The Netherlands; Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands 
 College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom 
Publication year
2019
Publication date
Sep 2019
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621650205
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.