ANN Modeling to Analyze the R404A Replacement with the Low GWP Alternative R449A in an Indirect Supermarket Refrigeration System
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Otros documentos de la autoría: Ghanbarpour, Morteza; Mota-Babiloni, Adrián; Makhnatch, Pavel; Badran, Bassam E.; Rogstam, Jörgen; Khodabandeh, Rahmatollah
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Título
ANN Modeling to Analyze the R404A Replacement with the Low GWP Alternative R449A in an Indirect Supermarket Refrigeration SystemAutoría
Fecha de publicación
2021-11-30Editor
MDPIISSN
2076-3417Cita bibliográfica
Ghanbarpour, M.; Mota-Babiloni, A.; Makhnatch, P.; Badran, B.E.; Rogstam, J.; Khodabandeh, R. ANN Modeling to Analyze the R404A Replacement with the Low GWP Alternative R449A in an Indirect Supermarket Refrigeration System. Appl. Sci. 2021, 11, 11333. https://doi.org/10.3390/ app112311333Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Artificial neural networks (ANNs) have been considered for assessing the potential of
low GWP refrigerants in experimental setups. In this study, the capability of using R449A as a
lower GWP replacement of R404A in ... [+]
Artificial neural networks (ANNs) have been considered for assessing the potential of
low GWP refrigerants in experimental setups. In this study, the capability of using R449A as a
lower GWP replacement of R404A in different temperature levels of a supermarket refrigeration
system is investigated through an ANN model trained using field measurements as input. The
supermarket refrigeration was composed of two indirect expansion circuits operated at low and
medium temperatures and external subcooling. The results predicted that R449A provides, on
average, a higher 10% and 5% COP than R404A at low and medium temperatures, respectively.
Moreover, the cooling capacity was almost similar with both refrigerants in both circuits. This study
also revealed that the ANN model could be employed to accurately predict the energy performance
of a commercial refrigeration system and provide a reasonable judgment about the capability of the
alternative refrigerant to be retrofitted in the system. This is very important, especially when the
measurement data comes from field measurements, in which values are obtained under variable
operating conditions. Finally, the ANN results were used to compare the carbon footprint for
both refrigerants. It was confirmed that this refrigerant replacement could reduce the emissions of
supermarket refrigeration systems. [-]
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Appl. Sci. 2021, 11, 11333Derechos de acceso
info:eu-repo/semantics/openAccess
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