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Exploring the meteorological potential for planning a high performance European electricity super-grid

Optimal power capacity distribution among countries

Dados Bibliográficos

ID15548715
AutoresFrancisco J Santos‐Alamillos (0000-0001-7592-9242, Universidad de Jaén, autor correspondente), David Brayshaw (0000-0002-3927-4362, National Centre for Atmospheric Science), David J Brayshaw, John Methven (0000-0002-7636-6872, University of Reading), Nikolaos S Thomaidis (0000-0002-6796-6171, Aristotle University of Thessaloniki), José A Ruiz‐Arias (0000-0003-4220-1751, Universidad de Jaén), José A Ruiz-Arias, David Pozo‐Vázquez (0000-0002-1135-4926, Universidad de Jaén), David Pozo-Vázquez
Ano2017
Volume12
Fascículo11
Páginas114030-114030
Data de publicação2017-09-26
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aa8f18
OpenAlexW2760129572
IdiomaEN
Citações recebidas5
Referências citadas32

The concept of a European super-grid for electricity presents clear advantages for a reliable and affordable renewable power production (photovoltaics and wind). Based on the mean-variance portfolio optimization analysis, we explore optimal scenarios for the allocation of new renewable capacity at national level in order to provide to energy decision-makers guidance about which regions should be mostly targeted to either maximize total production or reduce its day-to-day variability. The results show that the existing distribution of renewable generation capacity across Europe is far from optimal: i.e. a 'better' spatial distribution of resources could have been achieved with either a ~31% increase in mean power supply (for the same level of day-to-day variability) or a ~37.5% reduction in day-to-day variability (for the same level of mean productivity). Careful planning of additional increments in renewable capacity at the European level could, however, act to significantly ameliorate this deficiency. The choice of where to deploy resources depends, however, on the objective being pursued—if the goal is to maximize average output, then new capacity is best allocated in the countries with highest resources, whereas investment in additional capacity in a north/south dipole pattern across Europe would act to most reduce daily variations and thus decrease the day-to-day volatility of renewable power supply

Business · Capacity planning · Economics · Electricity · Electricity generation · Environmental economics · Geography · Grid · Investment (military · Microeconomics · Nameplate capacity · Natural resource economics · Operations management · Photovoltaic system · Photovoltaics · Portfolio · Power (physics · Production (economics · Renewable energy · Wind power · Electric Power System Optimization · Energy Load and Power Forecasting · Engineering · Environmental Science · Integrated Energy Systems Optimization

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Citações por ano0,63
Intervalo de citações2018 - 2025 (8)
Altamente citadoNão

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