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Related Experiment Videos

Optimizing control of simulated moving beds--experimental implementation.

Stefanie Abel1, Gültekin Erdem, Mohammad Amanullah

  • 1ETH-Zürich, Institute of Process Engineering, Sonneggstrasse 3, 8092 Zürich, Switzerland.

Journal of Chromatography. A
|September 29, 2005
PubMed
Summary
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This study demonstrates a new on-line optimization control scheme for simulated moving beds (SMBs) that maximizes productivity and minimizes solvent use. The robust controller operates SMB units effectively with minimal system information, reducing design time.

Area of Science:

  • Chemical Engineering
  • Separation Science

Background:

  • Simulated Moving Beds (SMBs) are challenging to operate at optimal conditions due to system uncertainties and disturbances.
  • Current practices often lead to operating SMB units below their economic optimum to ensure robustness.

Purpose of the Study:

  • To experimentally validate an on-line optimization control scheme for SMBs.
  • To demonstrate enhanced productivity and reduced solvent consumption in SMB operations.
  • To show the controller's effectiveness with minimal system information, reducing the need for extensive isotherm measurements.

Main Methods:

  • Experimental implementation of a novel on-line optimization control scheme on an eight-column, four-section SMB unit.
  • Separation of nucleosides (uridine, guanosine) using a 30RPC stationary phase with a linear isotherm.

Related Experiment Videos

  • Focus on achieving high purity separation under optimized conditions.

    • Main Results:

    • Successful experimental demonstration of the on-line optimization control scheme.
    • Achieved maximum productivity and minimum solvent consumption in SMB operation.
    • Validated the controller's performance with limited system data, confirming reduced design phase effort.

    Conclusions:

    • The proposed on-line optimization control scheme enables SMB units to operate at their full economic potential.
    • The controller offers a robust solution for SMB operation, even with incomplete system knowledge.
    • This approach significantly streamlines the SMB separation design process.