Within the context of the H2020 Project MultiPACK, operations ofintegrated supermarket units based on CO2 were extensively monitored anda huge database was created. Data were used to evaluate performances andto study COP dependency from ambient conditions. In this paper, asystematic discussion on the filtering and pre-processing of the rawdata acquired from the field is carried out. The COP for differentoperating modes of the two units is presented as linear regression ofthe ambient temperature and the heat flows contributing to the COP.Regression proved to be significant for all the functioning modes exceptfor one. This kind of model can be used to extrapolate the expectedseasonal performance when units are installed in different climaticareas or load ratios.

Field-Data Based Model for Integrated Supermarkets System Seasonal Performance Evaluation

Rossetti Antonio
;
Fabris Francesco;Marinetti Sergio;Minetto Silvia
2022

Abstract

Within the context of the H2020 Project MultiPACK, operations ofintegrated supermarket units based on CO2 were extensively monitored anda huge database was created. Data were used to evaluate performances andto study COP dependency from ambient conditions. In this paper, asystematic discussion on the filtering and pre-processing of the rawdata acquired from the field is carried out. The COP for differentoperating modes of the two units is presented as linear regression ofthe ambient temperature and the heat flows contributing to the COP.Regression proved to be significant for all the functioning modes exceptfor one. This kind of model can be used to extrapolate the expectedseasonal performance when units are installed in different climaticareas or load ratios.
2022
Istituto per le Tecnologie della Costruzione - ITC - Sede Secondaria Padova
978-2-36215-044-9
CO2
supermarket
field data
integrated units
sensitivity analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/518190
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