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  3. Projections of standardised energy indices in future climate scenarios

Projections of standardised energy indices in future climate scenarios

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DOI
10.48620/86052
Publisher DOI
10.1088/1748-9326/ad9b3f
Abstract
Renewable energy is becoming an increasingly important component of energy systems. However, renewable energy production is heavily dependent on the prevailing weather conditions, which are changing as a result of climate change. It is therefore necessary to build energy systems that are robust to energy shortages caused by weather-dependent changes to energy demand and renewable energy production. To design such systems, we must monitor how changes in the climate are expected to influence future energy production and demand; this is important for policymakers to decide when, where, and by how much renewable energy installed capacities should be increased, for example. In this paper, we study the behaviour of standardised energy indices in future European climate projections, and use this to monitor how characteristics of energy production droughts in Europe are expected to change in the future. We use these results to make suggestions regarding how the energy mix should be adapted in the future to decrease the risk of energy production droughts
Date Issued
2024-12-17
Publication Type
Article
Subject(s)
500 Science > 550 Earth sciences & geology
900 History > 910 Geography & travel
Subjects
energy droutghts
•
climate cahnge
•
standardiesed energy indices
•
climate projections
Language(s)
en
Author(s)
Dolores-Tesillos, Edgar  
Geographisches Institut (GIUB) - Klimafolgenforschung  
Institute of Geography  
Oeschger Centre for Climate Change Research (OCCR)  
Otero Felipe, Noelia  orcid-logo
Allen, Sam
ETH Zurich
Additional Credits
Oeschger Centre for Climate Change Research (OCCR)  
ETH Zurich
Institute of Geography  
Geographisches Institut (GIUB) - Klimafolgenforschung  
Journal
Environmental Research Letters
Publisher
IOP Publishing
ISSN
1748-9326
Funding(s)
European Union's Horizon 2020, nextGEMS  
Related Dataset(s)
https://doi.org/10.1088/1748-9326/ad9b3f
Access(Rights)
open.access
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