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@ARTICLE{Langiu:917584,
      author       = {Langiu, Marco and Dahmen, Manuel and Mitsos, Alexander},
      title        = {{S}imultaneous optimization of design and operation of an
                      air-cooled geothermal {ORC} under consideration of multiple
                      operating points},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {161},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2023-00786},
      pages        = {107745 -},
      year         = {2022},
      abstract     = {We simultaneously optimize both the design and operation of
                      an air-cooled geothermal organic Rankine cycle, maximizing
                      total annual return (TAR), while considering multiple
                      operating scenarios based on different ambient temperatures.
                      In order to accurately capture realistic off-design behavior
                      of the heat exchangers and turbine, as well as for the
                      overall system, we incorporate component models that
                      consider performance variations with both size and operating
                      conditions. We employ a hybrid mechanistic data-driven
                      modeling approach, involving artificial neural networks
                      (ANNs) as surrogate models for accurate fluid properties, as
                      well as for intermediate expressions for which ANNs improve
                      tractability of the optimization problem. We demonstrate the
                      importance of considering multiple operating conditions
                      within design problems and propose a methodology for
                      formulating and solving such problems globally, using our
                      open-source solver MAiNGO.},
      cin          = {IEK-10},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1121},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000806393100007},
      doi          = {10.1016/j.compchemeng.2022.107745},
      url          = {https://juser.fz-juelich.de/record/917584},
}