INVESTIGADORES
PEREDA Selva
artículos
Título:
Prediction of volumetric data in supercritical reactors
Autor/es:
COTABARREN, NATALIA S.; VELEZ, ALEXIS R.; HEGEL, PABLO E.; PEREDA, SELVA
Revista:
JOURNAL OF CHEMICAL AND ENGINEERING DATA
Editorial:
AMER CHEMICAL SOC
Referencias:
Año: 2016 vol. 61 p. 2669 - 2675
ISSN:
0021-9568
Resumen:
Pressure-intensified processes are characterized by handling mixtures whose density is highly dependent on the operating conditions. In addition, fluid behavior in this type of equipment is clearly nonideal. Therefore, the frequent assumption of ideal mixing for calculating the mixture density is inaccurate. Prediction of volumetric information on mixtures is important for the design of continuous supercritical reactors and other process equipment such as heat exchangers, high-pressure pumps, compressors, etc. The isochoric method is a simple and reliable procedure to measure mixture densities and find conditions of homogeneous operation of supercritical chemical reactors at high temperature and pressure. Moreover, it also provides PvT properties simultaneously. It is well-known that the twoparameter equations of state (2P-EoS), like Soave-Redlich-Kwong or Peng-Robinson, have limitations to describe accurately the PvT properties of different fluids together with the phase transitions. The three-parameter RK-PR equation of state (3P-EoS), known as the generalized Redlich-Kwong-Peng-Robinson, is able to correlate and predict volumetric properties of size- Asymmetric mixtures. In this work, RK-PR, coupled with the standard quadratic mixing rules, is used to model volumetric experimental data of nonreacting size- Asymmetric binary systems. Moreover, on the basis of that modeling, we predict volumetric properties of reacting mixtures in the context of supercritical biodiesel production.