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@ARTICLE{Ryberg:845595,
      author       = {Ryberg, Severin David and Robinius, Martin and Stolten,
                      Detlef},
      title        = {{E}valuating {L}and {E}ligibility {C}onstraints of
                      {R}enewable {E}nergy {S}ources in {E}urope},
      journal      = {Energies},
      volume       = {11},
      number       = {5},
      issn         = {1996-1073},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2018-02815},
      pages        = {1246 -},
      year         = {2018},
      abstract     = {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.},
      cin          = {IEK-3},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {134 - Electrolysis and Hydrogen (POF3-134) / ES2050 -
                      Energie Sytem 2050 (ES2050)},
      pid          = {G:(DE-HGF)POF3-134 / G:(DE-HGF)ES2050},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000435610300224},
      doi          = {10.3390/en11051246},
      url          = {https://juser.fz-juelich.de/record/845595},
}