Modelling and Experimental Investigation of Solute Inclusion During a Progressive Freeze Concentration Process

Zhuo Zhang*, Midhun Joy, S. Vanapalli*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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 (𝐾0). The current approach to calculating 𝐾0 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 𝐾! in terms of the ice growth rate and solute concentration in the ice and liquid phases. The
results demonstrated that 𝐾0 is proportional to the ice growth rate within the studied range. A sigmoidal
function approximator was utilized to extend the 𝐾0 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.
Original languageEnglish
Title of host publication26th International Congress of Refrigeration
DOIs
Publication statusPublished - 2023
Event26th International Congress of Refrigeration, ICR 2023 - Paris, France
Duration: 21 Aug 202325 Aug 2023
Conference number: 26

Conference

Conference26th International Congress of Refrigeration, ICR 2023
Abbreviated titleICR 2023
Country/TerritoryFrance
CityParis
Period21/08/2325/08/23

Keywords

  • NLA

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