Prediction of process parameters for intelligent control of freezing tunnels using simulation

Sreeram Ramakrishnan, Richard A. Wysk, Vittaldas V. Prabhu

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Various analytical and empirical methods assuming the existence of steady state and requiring homogenous properties of the product have been used with limited success in estimating freezing times in the food processing industry. Irrespective of the method adopted for estimating freezing time requirements, a critical process issue that needs to be considered is that of system control. Simulation models suggest that a feed-forward control strategy, as discussed in this paper, can be used to control a freezing tunnel and obtain considerable energy savings while ensuring 'appropriate' freezing of all products. The control strategy discussed in this paper, involves the continuous monitoring of product input and controlling either or both of the refrigerant flow and conveyor speed. The primary objective of this paper is to demonstrate the use of simulation to predict process parameters for 'intelligent control' of freezing tunnels, and provide an estimate of potential energy savings.

Original languageEnglish (US)
Pages (from-to)888-895
Number of pages8
JournalWinter Simulation Conference Proceedings
StatePublished - Dec 1 2001
EventProceedings of the 2001 Winter Simulation Conference - Arlington, VA, United States
Duration: Dec 9 2001Dec 12 2001

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics


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