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@PHDTHESIS{Grig:850951,
      author       = {Görig, Marzella},
      title        = {{A}nalysis $\&$ modeling of metastable photovoltaic
                      technologies: towards dynamic photovoltaic performance
                      models},
      volume       = {431},
      school       = {RWTH Aachen},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2018-04682},
      isbn         = {978-3-95806-342-6},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {246 S.},
      year         = {2018},
      note         = {RWTH Aachen, Diss., 2018},
      abstract     = {Climate change is one of the biggest problems in this
                      century. To reduce the emissions that lead to the climate
                      change, it is expected that renewable energy systems will
                      become very important for our energy supply in the future.
                      Among these renewable energies, photovoltaics (PV) belongs
                      to one of the fastest growing technologies. The key drivers
                      to justify an increasing share of photovoltaics in the
                      energy market are the reduction in cost, the increase of
                      efficiency and the increase in their reliability. Thin film
                      technologies have a share of the PV market of approximately
                      only $7\%.$ However, thin film technologies have many
                      advantages that show their potential for the future. Their
                      main advantages are their low costs and their promising
                      application for new markets, as for example for climate
                      zones with a high amount of diffuse irradiance or their
                      possibility to use them as building-integrated modules and
                      deposit them on flexible substrate. A big challenge for thin
                      film technologies is the energy yield prediction as thin
                      film solar cells exhibit metastabilities. To solve this
                      problem, dynamic performance models are necessary. In this
                      thesis, the performance of thin film solar cells and modules
                      are investigated and modeled under outdoor and laboratory
                      conditions, whereas two approaches of dynamic performance
                      models are implemented to improve the performance prediction
                      of thin film modules. At the beginning of this work, a
                      four-step procedure is defined to compare different
                      performance models with each other. The current-density
                      voltage (JV) curves of the outdoor modules are described
                      with the empirical Karmalkar-Haneefa (KH) performance model.
                      The KH model uses only four physical parameters, namely the
                      open circuit voltage (V$_{oc}$), the differential resistance
                      at the open circuit point (Roc), the short-circuit current
                      density (J$_{sc}$), and the differential conductance at the
                      short-circuit point (G$_{sc}$), to [...]},
      cin          = {IEK-5},
      cid          = {I:(DE-Juel1)IEK-5-20101013},
      pnm          = {121 - Solar cells of the next generation (POF3-121)},
      pid          = {G:(DE-HGF)POF3-121},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2018091912},
      url          = {https://juser.fz-juelich.de/record/850951},
}