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Modelling and experimental investigation of solute inclusion during a progressive freeze concentration process.

Number: 0823

Author(s) : ZHANG Z., JOY M., VANAPALLI S.

Summary

The Progressive Freeze Concentration (PFC) process enables a gradual removal of water content present in a liquid solution in the form of ice, with the efficiency of the process dependent on the intrinsic partition coefficient (š¾!). The current approach to calculating š¾! is constrained by its limited capability to capture the impact of ice growth rates, which often results in inaccurate predictions. A modified framework is proposed to estimate š¾! in terms of the ice growth rate and solute concentration in the ice and liquid phases. The results demonstrated that š¾! is proportional to the ice growth rate within the studied range. A sigmoidal function approximator was utilized to extend the š¾! estimation beyond the experimental range and identify optimal operating conditions for a PFC process. The proposed approach can significantly improve the accuracy of the existing models and the performance efficiency of the PFC process.

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Pages: 12 p.

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Details

  • Original title: Modelling and experimental investigation of solute inclusion during a progressive freeze concentration process.
  • Record ID : 30031671
  • Languages: English
  • Subject: Technology
  • Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
  • Publication date: 2023/08/21
  • DOI: http://dx.doi.org/10.18462/iir.icr.2023.0823

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