001     845595
005     20240711101544.0
024 7 _ |a 10.3390/en11051246
|2 doi
024 7 _ |a 2128/18803
|2 Handle
024 7 _ |a WOS:000435610300224
|2 WOS
037 _ _ |a FZJ-2018-02815
082 _ _ |a 620
100 1 _ |a Ryberg, Severin David
|0 P:(DE-Juel1)169156
|b 0
|e Corresponding author
245 _ _ |a Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe
260 _ _ |a Basel
|c 2018
|b MDPI
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1604404897_754
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The amount and distribution of land which is eligible for renewable energy sources (RES) is fundamental to the role these technologies will play in future energy systems. Unfortunately, land eligibility (LE) investigations in the literature are plagued by many inconsistencies between studies, impeding the work of researchers and policy makers interested in energy system development planning. As one factor contributing to this, the criteria used to construct land exclusion constraints have not been the focus of scientific investigation on a large scale, and as such their interactions are not well known.Therefore, an open source LE framework was used to perform evaluations in the European context of 36 commonly used constraints. After direct visualization, three measures by which these constraints are valuable to an LE analysis were computed: independence, exclusivity, and overlap. Results show extensive spatial sensitivity to constrain influence. Furthermore, some constraints, such as proximity to agriculture and woodland areas, rank high in all three measures; others, such as distance from airports and camping sites, consistently rank low; and still others, such as elevation, score highly in one measure but not the others. With these results, LE researchers can better understand the contributions of the constraints used in their analyses.
536 _ _ |a 134 - Electrolysis and Hydrogen (POF3-134)
|0 G:(DE-HGF)POF3-134
|c POF3-134
|f POF III
|x 0
536 _ _ |a ES2050 - Energie Sytem 2050 (ES2050)
|0 G:(DE-HGF)ES2050
|c ES2050
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Robinius, Martin
|0 P:(DE-Juel1)156460
|b 1
700 1 _ |a Stolten, Detlef
|0 P:(DE-Juel1)129928
|b 2
773 _ _ |a 10.3390/en11051246
|g Vol. 11, no. 5, p. 1246 -
|0 PERI:(DE-600)2437446-5
|n 5
|p 1246 -
|t Energies
|v 11
|y 2018
|x 1996-1073
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.pdf
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.gif?subformat=icon
|x icon
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.jpg?subformat=icon-1440
|x icon-1440
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.jpg?subformat=icon-180
|x icon-180
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.jpg?subformat=icon-640
|x icon-640
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/Invoice_MDPI_energies-286684_1136.31EUR.pdf?subformat=pdfa
|x pdfa
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.jpg?subformat=icon-1440
|x icon-1440
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/845595/files/energies-11-01246-v2.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:845595
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)169156
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)156460
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)129928
910 1 _ |a RWTH Aachen
|0 I:(DE-588b)36225-6
|k RWTH
|b 2
|6 P:(DE-Juel1)129928
913 1 _ |a DE-HGF
|l Speicher und vernetzte Infrastrukturen
|1 G:(DE-HGF)POF3-130
|0 G:(DE-HGF)POF3-134
|2 G:(DE-HGF)POF3-100
|v Electrolysis and Hydrogen
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Energie
914 1 _ |y 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ENERGIES : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 1 _ |0 I:(DE-Juel1)IEK-3-20101013
|k IEK-3
|l Technoökonomische Systemanalyse
|x 0
980 1 _ |a APC
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-3-20101013
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-2-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21