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@ARTICLE{Colbertaldo:886008,
      author       = {Colbertaldo, P. and Cerniauskas, S. and Grube, T. and
                      Robinius, M. and Stolten, D. and Campanari, S.},
      title        = {{C}lean mobility infrastructure and sector integration in
                      long-term energy scenarios: {T}he case of {I}taly},
      journal      = {Renewable $\&$ sustainable energy reviews},
      volume       = {133},
      issn         = {1364-0321},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-04229},
      pages        = {110086 -},
      year         = {2020},
      abstract     = {As main contributors to greenhouse gas emissions, power and
                      transportation are crucial sectors for energy system
                      decarbonization. Their interaction is expected to increase
                      significantly: plug-in electric vehicles add a new electric
                      load, increasing grid demand and potentially requiring
                      substantial grid upgrade; hydrogen production for fuel cell
                      electric vehicles or for clean fuels synthesis could exploit
                      the projected massive power overgeneration by intermittent
                      and seasonally-dependent renewable sources via
                      Power-to-Hydrogen.This work investigates the infrastructural
                      needs involved with a broad diffusion of clean mobility,
                      adopting a sector integration perspective at the national
                      scale. The analysis combines a multi-node energy system
                      balance simulation and a techno-economic assessment of the
                      infrastructure to deliver energy vectors for mobility. The
                      article explores the long-term case of Italy, considering a
                      massive increase of renewable power generation capacity and
                      investigating different mobility scenarios, where
                      low-emission vehicles account for $50\%$ of the stock.
                      First, the model solves the energy balances, integrating the
                      consumption related to mobility energy vectors and taking
                      into account power grid constraints. Then, an optimal
                      infrastructure is identified, composed of both a hydrogen
                      delivery network and a widespread installation of charging
                      points.Results show that the infrastructural requirements
                      bring about investment costs in the range of 43–63 G€.
                      Lower specific costs are associated with the exclusive
                      presence of FCEVs, whereas the full reliance on BEVs leads
                      to the most significant costs. Scenarios that combine FCEVs
                      and BEVs lie in between, suggesting that the overall power +
                      mobility system benefits from the presence of both
                      drivetrain options.},
      cin          = {IEK-3},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {134 - Electrolysis and Hydrogen (POF3-134)},
      pid          = {G:(DE-HGF)POF3-134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000581605600009},
      doi          = {10.1016/j.rser.2020.110086},
      url          = {https://juser.fz-juelich.de/record/886008},
}