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@ARTICLE{Patel:1029102,
      author       = {Patel, Neel and Pieters, Bart and Bittkau, Karsten and
                      Sovetkin, Evgenii and Ding, Kaining and Reinders, Angèle},
      title        = {{A}ssessing the accuracy of two steady‐state temperature
                      models for onboard passenger vehicle photovoltaics
                      applications},
      journal      = {Progress in photovoltaics},
      volume       = {32},
      number       = {11},
      issn         = {1062-7995},
      address      = {Chichester},
      publisher    = {Wiley},
      reportid     = {FZJ-2024-04962},
      pages        = {790-798},
      year         = {2024},
      abstract     = {We assess the accuracy of two steady-state temperature
                      models, namely, Ross and Faiman, in the context of
                      photovoltaics (PV) systems integrated in vehicles.
                      Therefore, we present an analysis of irradiance and
                      temperature data monitored on a PV system on top of a
                      vehicle. Next, we have modeled PV cell temperatures in this
                      PV system, representing onboard vehicle PV systems using the
                      Ross and Faiman model. These models could predict
                      temperatures with a coefficient of determination (R2) in the
                      range of 0.61–0.88 for the Ross model and 0.63–0.93 for
                      the Faiman model. It was observed that the Ross and Faiman
                      model have high errors when instantaneous data are used but
                      become more accurate when averaged to timesteps of greater
                      than 1000–1500 s. The Faiman model's instantaneous
                      response was independent of the variations in the weather
                      conditions, especially wind speed, due to a lack of thermal
                      capacitance term in the model. This study found that the
                      power and energy yield calculations were minimally affected
                      by the errors in temperature predictions. However, a
                      transient model, which includes the thermal mass of the
                      vehicle and PV modules, is necessary for an accurate
                      instantaneous temperature prediction of PV modules in
                      vehicle-integrated (VIPV) applications.},
      cin          = {IMD-3},
      ddc          = {690},
      cid          = {I:(DE-Juel1)IMD-3-20101013},
      pnm          = {1214 - Modules, stability, performance and specific
                      applications (POF4-121)},
      pid          = {G:(DE-HGF)POF4-1214},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001268477600001},
      doi          = {10.1002/pip.3832},
      url          = {https://juser.fz-juelich.de/record/1029102},
}