% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Asanin:884789,
      author       = {Asanin, Savo},
      title        = {{W}ater {M}anagement in {A}utomotive
                      {P}olymer-{E}lectrolyte-{M}embrane {F}uel {C}ell {S}tacks},
      volume       = {504},
      school       = {RWTH Aachen},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-03251},
      isbn         = {978-3-95806-491-1},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {XVIII, 172 S.},
      year         = {2020},
      note         = {RWTH Aachen, Diss., 2020},
      abstract     = {The detailed simulative investigation of the water
                      management inside automotive PEM fuel cell stacks requires a
                      three-dimensional multiphysics stack model. Due to the lack
                      of appropriate literature approaches, which include the
                      multiphase water transport, in addition to all fluid flow,
                      thermal and electrochemical phenomena a suitable model is
                      developed within the present study. The description is
                      subdivided into two main paths i.e. water transport inside
                      the gas channels of the flow field and within the layers of
                      the MEA. In order to tackle the link between the two, a
                      multi-scale approach is applied. The investigation levels
                      are stack, single cell and single channel. A simplified cell
                      model is derived by using a Darcy-like approach inside the
                      flow fields with a drastic reduction in computational cells.
                      In order to account for two-phase flow effects inside the
                      gas channels, the capability of implementing two-phase
                      pressure drop correlations is integrated. Correlations are
                      obtained through two-phase flow Volume-of-Fluid simulations
                      within single gas channels of anode and cathode
                      respectively. Therefore, a methodology for adaptive mesh
                      refinement (AMR) is derived to effectively investigate the
                      phenomena of two-phase flow in gas channels. During the
                      analysis, effects of dynamic and static contact angles are
                      implemented and compared against each other, showing the
                      necessity of dynamic contact angle models. A speed-up of the
                      simulation process is achieved through a constant coarse
                      mesh refinement (CCMR), using a high resolution interface
                      capturing (HRIC) algorithm. The methodology is validated
                      against detailed AMR results and used for parametric
                      studies, regarding gas and liquid water input velocities.
                      Hereby a study is carried out to investigate the dependency
                      of number and position of liquid water inlet. The results
                      show an independence regarding flow regime and stationary
                      two-phase pressure drop values. Two-phase pressure drop
                      correlations are derived from the filtered and processed
                      result data. Experimental current density and temperature
                      distribution results, as well as detailed simulations are
                      used as a basis for the simplification process and the
                      subsequent validation. The simplified cells are electrically
                      and thermally connected within a 60-cell stack,
                      automatically generated through a developed code. Stack
                      simulations at various operating points are performed and
                      validated against simulative simplified single cell and
                      experimental 60-cell stack data. Very good prediction
                      capabilities of the stack model, regarding stack performance
                      are achieved.},
      cin          = {IEK-14},
      cid          = {I:(DE-Juel1)IEK-14-20191129},
      pnm          = {135 - Fuel Cells (POF3-135)},
      pid          = {G:(DE-HGF)POF3-135},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2020102017},
      url          = {https://juser.fz-juelich.de/record/884789},
}