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@ARTICLE{Zhang:848040,
      author       = {Zhang, Shidong and Reimer, Uwe and Beale, Steven and
                      Lehnert, Werner and Stolten, Detlef},
      title        = {{M}odeling polymer electrolyte fuel cells: {A} high
                      precision analysis},
      journal      = {Applied energy},
      volume       = {233-234},
      issn         = {0306-2619},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-03330},
      pages        = {1094 - 1103},
      year         = {2019},
      abstract     = {In this paper, a computational model is used to study the
                      distributions of several key parameters and the performance
                      of a fuel cell with an active area of 200 . The results
                      reveal that the model is capable of predicting the overall
                      behavior in good agreement with experimental data and with
                      superior resolution. Polarization curves are compared and
                      cell voltage prediction deviations are within of
                      experimental values. The predicted current density
                      distribution is very close to both the experimentally
                      measured results and a volume-average approach based on rate
                      equations. Local variations of current density, oxygen, and
                      water mole fraction change significantly from under-rib
                      regions to under-channel regions. The serpentine type flow
                      path leads to greater pressure gradients, but is beneficial
                      to gas bypassing through the gas diffusion layers. This type
                      of flow path helps to redistribute the species and current
                      density distributions. Never before has it been possible to
                      construct computational models capable of predicting
                      fine-scale details in local current density; details which
                      were not captured neither by previous models nor by
                      present-day experiments.},
      cin          = {IEK-3 / JARA-HPC},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-3-20101013 / $I:(DE-82)080012_20140620$},
      pnm          = {135 - Fuel Cells (POF3-135) / Flexible Simulation of Fuel
                      Cells with OpenFOAM $(jara0070_20131101)$},
      pid          = {G:(DE-HGF)POF3-135 / $G:(DE-Juel1)jara0070_20131101$},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000454376900082},
      doi          = {10.1016/j.apenergy.2018.10.026},
      url          = {https://juser.fz-juelich.de/record/848040},
}