<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Microgrids: Enhancing the Resilience of the European Megagrid

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 May 2015Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Power and Energy Magazine, volume 13, pages 35-43 (issn: 1540-7977,

Authors: Carlos Moreira; Aris Dimeas; Nikos Hatziargyriou; João Peças Lopes; Dimitrios Papadaskalopoulos; Goran Strbac;

doi: 10.1109/mpe.2015.2397336

Microgrids: Enhancing the Resilience of the European Megagrid

- Summary
- Metrics

Abstract

THE EUROPEAN ELECTRICITY SYSTEM of the future faces challenges of unprecedented proportions. By 2020, 20% of the European electricity demand will be met by renewable generation while, by 2030, a substantial proportion of the electricity generation would become largely decarbonized. Furthermore, beyond 2030, it is expected that significant segments of the heat and transport sectors will be electrified to meet the targets proposed by the EU governments for greenhouse gas emission reductions of at least 80% in 2050.

Related Organizations

Imperial College London
United Kingdom
National Technical University of Athens
Greece

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	123
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%