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Development of a predictive controller for the optimal energy management of a vapour-compression refrigeration system.

Number: 1154

Author(s) : DI MATTIA E., GAMBAROTTA A., MARZI E., MORINI M., SALETTI C.

Summary

The increasing share of renewable energy sources into the electricity grid, with their aleatory nature, leads to the need for the smart management of users’ flexibility, preventing grid unbalances. Industrial refrigeration systems can play a role in this framework: being large electricity consumers, they offer the possibility to shift large loads by storing surplus electricity when needed. This work aims to model and control a refrigeration system used for freezing food by applying the Model Predictive Control technique. Two control strategies have been proposed: the first aims to minimise total energy consumption by varying the separator level, the second also focuses on utilising the maximum amount of renewable energy, both by varying the separator level and by managing frozen products as flexible loads. The results show that the predictive controller, with respect to traditional control methods, allows energy saving and a better exploitation of the available renewable electricity.

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Pages: 10 p.

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Details

  • Original title: Development of a predictive controller for the optimal energy management of a vapour-compression refrigeration system.
  • Record ID : 30029511
  • Languages: English
  • Subject: Technology
  • Source: 7th IIR International Conference on Sustainability and the Cold Chain (Online). Proceedings: April 11-13 2022
  • Publication date: 2022/04/11
  • DOI: http://dx.doi.org/10.18462/iir.iccc2022.1154
  • Document available for consultation in the library of the IIR headquarters only.

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