Using surrogate models for efficient optimization of simulated moving bed chromatography

@article{Li2014UsingSM,
  title={Using surrogate models for efficient optimization of simulated moving bed chromatography},
  author={Suzhou Li and Lihong Feng and Peter Benner and Andreas Seidel-Morgenstern},
  journal={Computers & Chemical Engineering},
  year={2014},
  volume={67},
  pages={121-132}
}
Abstract A new approach of using computationally cheap surrogate models for efficient optimization of simulated moving bed (SMB) chromatography is presented. Two different types of surrogate models are developed to replace the detailed but expensive full-order SMB model for optimization purposes. The first type of surrogate is built through a coarse spatial discretization of the first-principles process model. The second one falls into the category of reduced-order modeling. The proper… CONTINUE READING

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