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Analyzing the influence of large-scale weather patterns on renewable energy systems: A review

Layer, Kira 1; Gutmayer, Stephanie 1; Sandmeier, Thorben 1; Ringger, Jonas; Cermak, Jan ORCID iD icon 2; Fichtner, Wolf ORCID iD icon 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)

Abstract:

Electricity generation as well as electricity demand are dependent on the weather and climate, and this dependency is expected to further increase in the future. Challenges in energy systems arising from this dependency can be studied using large-scale weather patterns (WPs). These WPs can help reveal the atmospheric drivers of the challenges, but there exist many different classifications of large-scale WPs. Although WPs are widely used in energy-related studies, to our knowledge, no systematic review has yet evaluated the applicability of weather pattern classifications to analyzing extreme events and variability in energy systems. In this study, we aim to fill this gap by reviewing and combining literature dealing with both WP classifications and weather-induced challenges in energy systems. A total of 69 studies are included, which use different classification methods to study weather-induced challenges on energy systems. Overall, most challenges to the energy system arise during blocking weather patterns. Furthermore, we find that stable large-scale WPs allow for better forecasts of wind power generation if combined with other predictors. ... mehr


Volltext §
DOI: 10.5445/IR/1000190317
Veröffentlicht am 06.02.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Publikationstyp Forschungsbericht/Preprint
Publikationsmonat/-jahr 02.2026
Sprache Englisch
Identifikator ISSN: 2196-7296
KITopen-ID: 1000190317
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 34 S.
Serie Working Paper Series in Production and Energy ; 80
Schlagwörter weather patterns, weather regimes, high residual load events, energy drought, weather variability, forecasting, energy system
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