Next Article in Journal
Influence of Fluid Properties on Intensity of Hydrodynamic Cavitation and Deactivation of Salmonella typhimurium
Next Article in Special Issue
Effect of Freeze-Drying on Quality and Grinding Process of Food Produce: A Review
Previous Article in Journal
Outdoor Large-Scale Cultivation of the Acidophilic Microalga Coccomyxa onubensis in a Vertical Close Photobioreactor for Lutein Production
Previous Article in Special Issue
Drying Applications during Value-Added Sustainable Processing for Selected Mass-Produced Food Coproducts
Open AccessFeature PaperArticle

Model-Based Real Time Operation of the Freeze-Drying Process

1
(Bio)Process Engineering Group, Instituto de Investigaciones Marinas (CSIC), Eduardo Cabello, 6. 36208 Vigo, Spain
2
School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B152TT, UK
3
INRAE, AgroParisTech, UMR SayFood, Université Paris-Saclay, F-78850 Thiverval-Grignon, France
*
Author to whom correspondence should be addressed.
Processes 2020, 8(3), 325; https://doi.org/10.3390/pr8030325
Received: 3 January 2020 / Revised: 12 February 2020 / Accepted: 4 March 2020 / Published: 10 March 2020
(This article belongs to the Special Issue Drying Kinetics and Quality Control in Food Processing)
Background: Freeze-drying or lyophilization is a dehydration process employed in high added-value food and biochemical goods. It helps to maintain product organoleptic and nutritional properties. The proper handling of the product temperature during the operation is critical to preserve quality and to reduce the process duration. Methods: Mathematical models are useful tools that can be used to design optimal policies that minimize production costs while keeping product quality. In this work, we derive an operational mathematical model to describe product quality and stability during the freeze-drying process. Model identification techniques are used to provide the model with predictive capabilities. Then, the model is used to design optimal control policies that minimize process time. Results and conclusion: Experimental measurements suggest splitting the process into two subsystems, product and chamber, to facilitate the calibration task. Both models are successfully validated using experimental data. Optimally designed control profiles are able to reduce the process duration by around 30% as compared with standard policies. The optimization task is introduced into a real time scheme to take into account unexpected process disturbances and model/plant mismatch. The implementation of the real time optimization scheme shows that this approach is able to compensate for such disturbances. View Full-Text
Keywords: freeze-drying; operational model; model calibration; real time optimization freeze-drying; operational model; model calibration; real time optimization
Show Figures

Figure 1

MDPI and ACS Style

Vilas, C.; A. Alonso, A.; Balsa-Canto, E.; López-Quiroga, E.; Trelea, I.C. Model-Based Real Time Operation of the Freeze-Drying Process. Processes 2020, 8, 325.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop