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.
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 language | English |
|---|---|
| Title of host publication | 26th IIR International Congress of Refrigeration 2023 |
| Publisher | International Institute of Refrigeration |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 26th International Congress of Refrigeration, ICR 2023 - Paris, France Duration: 21 Aug 2023 → 25 Aug 2023 Conference number: 26 |
Conference
| Conference | 26th International Congress of Refrigeration, ICR 2023 |
|---|---|
| Abbreviated title | ICR 2023 |
| Country/Territory | France |
| City | Paris |
| Period | 21/08/23 → 25/08/23 |
Keywords
- NLA