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@ARTICLE{Caglayan:863548,
      author       = {Caglayan, Dilara Gülcin and Heinrichs, Heidi and Linssen,
                      Jochen and Robinius, Martin and Stolten, Detlef},
      title        = {{I}mpact of {D}ifferent {W}eather {Y}ears on the {D}esign
                      of {H}ydrogen {S}upply {P}athways for {T}ransport {N}eeds},
      journal      = {International journal of hydrogen energy},
      volume       = {44},
      number       = {47},
      issn         = {0360-3199},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2019-03587},
      pages        = {25442 - 25456},
      year         = {2019},
      abstract     = {Renewable energy sources (RES) will play a crucial role in
                      future sustainable energy systems. In scenarios analyzing
                      future energy system designs, a detailed spatial and
                      temporal representation of renewable-based electricity
                      generation is essential. For this, sufficiently
                      representative weather data are required. Most analyses
                      performed in this context use the historical data of either
                      one specific reference year or an aggregation of multiple
                      years. In contrast, this study analyzes the impact of
                      different weather years based on historical weather data
                      from 1980 through 2016 in accordance with the design of an
                      exemplary future energy system. This exemplary energy system
                      consists of on- and offshore wind energy for
                      power-to-hydrogen via electrolysis, including hydrogen
                      pipeline transport for most southwestern European countries.
                      The assumed hydrogen demand for transportation needs
                      represents a hypothetical future market penetration for fuel
                      cell-electric vehicles of $75\%.$ An optimization framework
                      is used in order to evaluate the resulting system design
                      with the objective function of minimizing the total annual
                      cost (TAC) of the system. For each historical weather year,
                      the applied optimization model determines the required
                      capacities and operation of wind power plants,
                      electrolyzers, storage technologies and hydrogen pipelines
                      to meet the assumed future hydrogen demand in a highly
                      spatially- and temporally-detailed manner, as well as the
                      TAC of the system. Following that, the results of every
                      individual year are compared in terms of installed
                      capacities, overall electricity generation and connection to
                      the transmission network, as well as the cost of these
                      components within each region. The results reveal how
                      sensitive the final design of the exemplary system is to the
                      choice of the weather year. For example, the TAC of the
                      system changes by up to $20\%$ across two consecutive
                      weather years. Furthermore, significant variation in the
                      optimization results regarding installed capacities per
                      region with respect to the choice of weather years can be
                      observed.},
      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:000490030000012},
      doi          = {10.1016/j.ijhydene.2019.08.032},
      url          = {https://juser.fz-juelich.de/record/863548},
}