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@ARTICLE{Schulze:888872,
      author       = {Schulze, Jan C. and Caspari, Adrian and Offermanns,
                      Christoph and Mhamdi, Adel and Mitsos, Alexander},
      title        = {{N}onlinear model predictive control of ultra-high-purity
                      air separation units using transient wave propagation model},
      journal      = {Computers $\&$ chemical engineering},
      volume       = {145},
      issn         = {0098-1354},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-05282},
      pages        = {107163},
      year         = {2021},
      abstract     = {Model reduction techniques can be used to reduce the
                      computational burden associated with nonlinear model
                      predictive control (NMPC). In our recent work, we introduced
                      the transient nonlinear wave propagation model (TWPM) for
                      reduced dynamic modeling of multi-component distillation
                      columns with variable holdup, and demonstrated its
                      suitability for optimization and control of single-section
                      distillation columns and simple air separation units
                      [Caspari et al., J. Process Control, 2020]. We show here
                      that the TWPM is well-suited for reduced modeling of
                      multi-sectional ultra-high-purity distillation columns and
                      enables real-time capable NMPC of complex process flowsheets
                      with tight operational constraints. To demonstrate its
                      performance and accuracy, we apply the TWPM for NMPC of an
                      ultra-high-purity nitrogen air separation unit. We perform
                      an in-silico closed-loop case study comprising a series of
                      load changes. Our approach reduces CPU time by $84\%,$
                      enabling NMPC in real time.},
      cin          = {IEK-10},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1122 - Design, Operation and Digitalization of the Future
                      Energy Grids (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1122},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000608130700019},
      doi          = {10.1016/j.compchemeng.2020.107163},
      url          = {https://juser.fz-juelich.de/record/888872},
}