Abstract

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.

Details

Title
Exploring the meteorological potential for planning a high performance European electricity super-grid: optimal power capacity distribution among countries
Author
Santos-Alamillos, Francisco J 1   VIAFID ORCID Logo  ; Brayshaw, David J 2 ; Methven, John 3 ; Thomaidis, Nikolaos S 4 ; Ruiz-Arias, José A 5 ; Pozo-Vázquez, David 5 

 Department of Meteorology, University of Reading, Reading, United Kingdom; Department of Physics, University of Jaén, Campus las Lagunillas s/n, A3-066, E23071 Jaén, Spain; Author to whom any correspondence should be addressed. 
 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 
 School of Economics, Aristotle University of Thessaloniki, Thessaloniki, Greece 
 Department of Physics, University of Jaén, Campus las Lagunillas s/n, A3-066, E23071 Jaén, Spain 
Publication year
2017
Publication date
Nov 2017
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2549219204
Copyright
© 2017. 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.