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@ARTICLE{Huster:888839,
      author       = {Huster, Wolfgang R. and Schweidtmann, Artur M. and Lüthje,
                      Jannik T. and Mitsos, Alexander},
      title        = {{D}eterministic global superstructure-based optimization of
                      an organic {R}ankine cycle},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {141},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-05253},
      pages        = {106996 -},
      year         = {2020},
      abstract     = {Organic Rankine cycles (ORCs) offer a high structural
                      design flexibility. The best process structure can be
                      identified via the optimization of a superstructure, which
                      considers design alternatives simultaneously. In this
                      contribution, we apply deterministic global optimization to
                      a geothermal ORC superstructure, thus guaranteeing to find
                      the best solution. We implement a hybrid mechanistic
                      data-driven model, employing artificial neural networks as
                      thermodynamic surrogate models. This approach is beneficial
                      as we optimize the problem in a reduced space using the
                      optimization solver MAiNGO. We further introduce redundant
                      constraints that are only considered for the lower-bounding
                      problem of the branch-and-bound algorithm. We perform two
                      separate optimizations, one maximizing power output and one
                      minimizing levelized cost of electricity. The optimal
                      solutions of both objectives differ from each other, but
                      both have three pressure levels. Global optimization is
                      necessary as there exist suboptimal local solutions for both
                      flowsheet configuration and design with fixed
                      configurations.},
      cin          = {IEK-10},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000570247700007},
      doi          = {10.1016/j.compchemeng.2020.106996},
      url          = {https://juser.fz-juelich.de/record/888839},
}