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The influence of weather regimes on European renewable energy production and demand

Dados Bibliográficos

ID15548706
AutoresKarin van der Wiel (0000-0001-9365-5759, Royal Netherlands Meteorological Institute, autor correspondente), Hannah Bloomfield (0000-0002-5616-1503, University of Reading), Robert W Lee (0000-0002-1946-5559, National Centre for Atmospheric Science), Laurens P Stoop (0000-0003-2756-5653, Utrecht University), Russell Blackport (0000-0002-0942-7022, University of Exeter), James A Screen (0000-0003-1728-783X, University of Exeter), Frank Selten (0009-0007-2917-6519, Royal Netherlands Meteorological Institute), Frank M Selten
Ano2019
Volume14
Fascículo9
Páginas094010-094010
Data de publicação2019-08-06
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab38d3
OpenAlexW2965047266
IdiomaEN
Citações recebidas11
Referências citadas61

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

Atmospheric sciences · Climate change · Climatology · Energy storage · Extreme weather · Geography · Meteorology · Physics · Power (physics · Renewable energy · Variable renewable energy · Climate variability and models · Energy Load and Power Forecasting · Environmental Science · Integrated Energy Systems Optimization · Geology

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Citações por ano2,75
Intervalo de citações2022 - 2026 (5)
Altamente citadoNão

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