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Field-data based model for integrated supermarkets system seasonal performance evaluation.

Number: 1156

Author(s) : ROSSETTI A., FABRIS F., MARINETTI S., MINETTO S.

Summary

Within the context of the H2020 Project MultiPACK, operations of integrated supermarket units based on CO2 were extensively monitored and a huge database was created. Data were used to evaluate performances and to study COP dependency from ambient conditions. In this paper, a systematic discussion on the filtering and pre-processing of the raw data acquired from the field is carried out. The COP for different operating modes of the two units is presented as linear regression of the ambient temperature and the heat flows contributing to the COP. Regression proved to be significant for all the functioning modes except for one. This kind of model can be used to extrapolate the expected seasonal performance when units are installed in different climatic areas or load ratios.

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Pages: 10 p.

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Details

  • Original title: Field-data based model for integrated supermarkets system seasonal performance evaluation.
  • Record ID : 30029512
  • 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.iccc2022.1156
  • Document available for consultation in the library of the IIR headquarters only.

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