Journal article
ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials
European Commission Joint Research Centre Institute1
German Biomass Resarch Centre gGmbH2
Helmholtz Centre for Environmental Research3
Department of Mechanical Engineering, Technical University of Denmark4
Center for Nuclear Technologies, Technical University of Denmark5
German Aerospace Center6
Energy Research Centre of the Netherlands7
Paul Scherrer Institute8
Resource Assessment Modelling, Department of Wind Energy, Technical University of Denmark9
Department of Wind Energy, Technical University of Denmark10
Wageningen University & Research11
...and 1 moreData on the potential generation of energy from wind, solar and biomass is crucial for analysing their development, as it sets the limits on how much additional capacity it is feasible to install. This paper presents the methodologies used for the development of ENSPRESO, ENergy System Potentials for Renewable Energy SOurces, an EU-28 wide, open dataset for energy models on renewable energy potentials, at national and regional levels for the 2010–2050 period.
In ENSPRESO, coherent GIS-based land-restriction scenarios are developed. For wind, resource evaluation also considers setback distances, as well as high resolution geo-spatial wind speed data. For solar, potentials are derived from irradiation data and available area for solar applications. Both wind and solar have separately a potential electricity production which is equivalent to three times the EU's 2016 electricity demand, with wind onshore and solar requiring 16% and 1.4% of total land, respectively.
For biomass, agriculture, forestry and waste sectors are considered. Their respective sustainable potentials are equivalent to a minimum 10%, 1.5% and 1% of the total EU primary energy use. ENSPRESO can enrich the results of any energy model (e.g. JRC-EU-TIMES) by improving its analyses of the competition and complementarity of energy technologies.
Language: | English |
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Publisher: | Elsevier |
Year: | 2019 |
Pages: | 100379 |
ISSN: | 22114688 and 2211467x |
Types: | Journal article |
DOI: | 10.1016/j.esr.2019.100379 |
ORCIDs: | 0000-0002-3148-7339 , 0000-0001-6439-5775 and Badger, Jake |
Biomass Energy system model National Open data Potentials Regional Renewable SDG 15 - Life on Land SDG 7 - Affordable and Clean Energy Solar WInd
Energy industries. Energy policy. Fuel trade HD9502-9502.5 Wind