Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluids
Impacto
Scholar |
Otros documentos de la autoría: Mendoza-Miranda, Juan Manuel; Ramírez Minguela, J. J.; Muñoz Carpio, V. D.; Navarro-Esbrí, Joaquín
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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INVESTIGACIONEste recurso está restringido
http://dx.doi.org/10.1016/j.ijrefrig.2014.10.021 |
Metadatos
Título
Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluidsAutoría
Fecha de publicación
2015Editor
ElsevierCita bibliográfica
MENDOZA-MIRANDA, J. M., et al. Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluids. International Journal of Refrigeration, 2015, vol. 50, p. 32-43.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S014070071400293XPalabras clave / Materias
Resumen
This paper presents a model of shell and tube evaporator with micro-fin tubes using R1234yf and R134a. The model developed for this evaporator uses the ε-NTU method to predict the evaporating pressure, the refrigerant ... [+]
This paper presents a model of shell and tube evaporator with micro-fin tubes using R1234yf and R134a. The model developed for this evaporator uses the ε-NTU method to predict the evaporating pressure, the refrigerant outlet enthalpy and the outlet temperature of the secondary fluid. The model accuracy is evaluated using different two-phase flow boiling correlations for micro-fin tubes and comparing predicted and experimental data. The experimental tests were carried out for a wide range of operating conditions using R134a and R1234yf as working fluids. The predicted parameter with maximum deviations, between the predicted and experimental data, is the evaporating pressure. The correlation of Akhavan– Behabadi et al. was used to predict flow boiling heat transfer, with an error on cooling capacity prediction below 5%. Simulations, carried out with this validated model, show that the overall heat transfer coefficient of R1234yf has a maximum decrease of 10% compared with R134a. [-]
Publicado en
International Journal of Refrigeration, 2015, vol. 50Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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