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@ARTICLE{Hagedorn:1012734,
      author       = {Hagedorn, Dörthe Franzisca and Kuper, Laura and Zoellmann,
                      Mats and Reinert, Christiane and von der Aßen, Niklas
                      Vincenz},
      title        = {{D}yn2{H}eat – {MILP} {H}eat {E}xchanger {N}etwork
                      {D}esign for {B}atch {P}rocesses via {D}ynamic
                      {O}ptimization},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {200},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2025-05142},
      pages        = {109167},
      year         = {2025},
      cin          = {422130 / 412110},
      ddc          = {660},
      cid          = {$I:(DE-82)422130_20190828$ / $I:(DE-82)412110_20140620$},
      pnm          = {BMBF 03EN2031D - Verbundvorhaben: Food-Pinch -
                      Weiterentwicklung der Pinch-Analyse für einen effizienten
                      Anlagenbetrieb und optimale Investitionsfahrpläne zur
                      Steigerung der Energieeffizienz in der
                      Ernährungsindustrie;Teilvorhaben: Entwicklung einer
                      dynamischen Pinch-Methodik zur mathematischen Betriebs- und
                      Investoptimierung (03EN2031D) / OAPKF -
                      Open-Access-Publikation mit Unterstützung der RWTH Aachen
                      University (021000-OAPKF)},
      pid          = {G:(BMBF)03EN2031D / G:(DE-82)021000-OAPKF},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001504012100001},
      doi          = {10.1016/j.compchemeng.2025.109167},
      url          = {https://publications.rwth-aachen.de/record/1012734},
}