ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials

P. Ruiz, W. Nijs, D. Tarvydas, A. Sgobbi, A. Zucker, R. Pilli, Ragnar Ingi Jónsson, A. Camia, Christine Thiel, C. Hoyer-Klick, F. Dalla Longa, T. Kober, Jake Badger, Patrick Volker, B.S. Elbersen, A. Brosowski, D. Thrän

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Data 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.
Original languageEnglish
Article number100379
JournalEnergy Strategy Reviews
Volume26
Number of pages12
ISSN2211-467X
DOIs
Publication statusPublished - 2019

Keywords

  • Renewable
  • Potentials
  • Biomass
  • WInd
  • Solar
  • Open data
  • Energy system model
  • National
  • Regional

Cite this

Ruiz, P. ; Nijs, W. ; Tarvydas, D. ; Sgobbi, A. ; Zucker, A. ; Pilli, R. ; Jónsson, Ragnar Ingi ; Camia, A. ; Thiel, Christine ; Hoyer-Klick, C. ; Dalla Longa, F. ; Kober, T. ; Badger, Jake ; Volker, Patrick ; Elbersen, B.S. ; Brosowski, A. ; Thrän, D. / ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials. In: Energy Strategy Reviews. 2019 ; Vol. 26.
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abstract = "Data 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.",
keywords = "Renewable, Potentials, Biomass, WInd, Solar, Open data, Energy system model, National, Regional",
author = "P. Ruiz and W. Nijs and D. Tarvydas and A. Sgobbi and A. Zucker and R. Pilli and J{\'o}nsson, {Ragnar Ingi} and A. Camia and Christine Thiel and C. Hoyer-Klick and {Dalla Longa}, F. and T. Kober and Jake Badger and Patrick Volker and B.S. Elbersen and A. Brosowski and D. Thr{\"a}n",
year = "2019",
doi = "10.1016/j.esr.2019.100379",
language = "English",
volume = "26",
journal = "Energy Strategy Reviews",
issn = "2211-467X",
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Ruiz, P, Nijs, W, Tarvydas, D, Sgobbi, A, Zucker, A, Pilli, R, Jónsson, RI, Camia, A, Thiel, C, Hoyer-Klick, C, Dalla Longa, F, Kober, T, Badger, J, Volker, P, Elbersen, BS, Brosowski, A & Thrän, D 2019, 'ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials', Energy Strategy Reviews, vol. 26, 100379. https://doi.org/10.1016/j.esr.2019.100379

ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials. / Ruiz, P.; Nijs, W.; Tarvydas, D.; Sgobbi, A.; Zucker, A.; Pilli, R.; Jónsson, Ragnar Ingi; Camia, A.; Thiel, Christine; Hoyer-Klick, C.; Dalla Longa, F.; Kober, T.; Badger, Jake; Volker, Patrick; Elbersen, B.S.; Brosowski, A.; Thrän, D.

In: Energy Strategy Reviews, Vol. 26, 100379, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials

AU - Ruiz, P.

AU - Nijs, W.

AU - Tarvydas, D.

AU - Sgobbi, A.

AU - Zucker, A.

AU - Pilli, R.

AU - Jónsson, Ragnar Ingi

AU - Camia, A.

AU - Thiel, Christine

AU - Hoyer-Klick, C.

AU - Dalla Longa, F.

AU - Kober, T.

AU - Badger, Jake

AU - Volker, Patrick

AU - Elbersen, B.S.

AU - Brosowski, A.

AU - Thrän, D.

PY - 2019

Y1 - 2019

N2 - Data 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.

AB - Data 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.

KW - Renewable

KW - Potentials

KW - Biomass

KW - WInd

KW - Solar

KW - Open data

KW - Energy system model

KW - National

KW - Regional

U2 - 10.1016/j.esr.2019.100379

DO - 10.1016/j.esr.2019.100379

M3 - Journal article

VL - 26

JO - Energy Strategy Reviews

JF - Energy Strategy Reviews

SN - 2211-467X

M1 - 100379

ER -