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@ARTICLE{Tlili:872907,
      author       = {Tlili, Olfa and Mansilla, Christine and Linssen, Jochen and
                      Reuß, Markus and Grube, Thomas and Robinius, Martin and
                      André, Jean and Perez, Yannick and Le Duigou, Alain and
                      Stolten, Detlef},
      title        = {{G}eospatial modelling of the hydrogen infrastructure in
                      {F}rance in order to identify the most suited supply chains},
      journal      = {International journal of hydrogen energy},
      volume       = {45},
      number       = {4},
      issn         = {0360-3199},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2020-00372},
      pages        = {3053 - 3072},
      year         = {2020},
      abstract     = {One major issue that is source of uncertainty holding back
                      the hydrogen deployment, is the infrastructure development
                      needs and costs. Different studies in the literature tackled
                      this issue in France but partially, assessing either one
                      part of the hydrogen supply chain or the whole supply chain
                      but for one possible delivery pathway. This paper compares
                      five hydrogen pathways, going from the production step up to
                      the fuelling station and tackling pipeline and truck
                      options. In order to capture the time evolution aspect of
                      the infrastructure deployment needs, three demand scenarios
                      are investigated, going from $1\%$ of market penetration up
                      to $15\%.$ Additionally, two scenarios are taken into
                      account when it comes to the location of the hydrogen
                      production sites vis-à-vis the demand centres. According to
                      the results, economies of scale that can be driven by higher
                      market penetration rates have significant impact on lowering
                      the hydrogen cost.},
      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:000513294900054},
      doi          = {10.1016/j.ijhydene.2019.11.006},
      url          = {https://juser.fz-juelich.de/record/872907},
}