Influence of the thermodynamics model on the prediction of GHGs separation by distillation

Authors

  • Monica Julieth Valencia Botero Instituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia - Sede Manizales
  • Carlos Ariel Cardona Alzate Instituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia - Sede Manizales

Abstract

The prediction of thermodynamic properties can be considered as the first stage of the mitigation processes proposals. In this paper, the influence of phase equilibrium calculations over separation performance was analyzed, using Greenhouse Gases (GHG) mixtures. Eleven GHG mixtures (CO2-CO-N2O-SO2) were analyzed through the Peng-Robinson, Predictive Soave-Redlich-Kwong and Perturbed Chain – Statistical Associating Fluid Theory thermodynamic models. After, topologic thermodynamics tool and conceptual design were used to predict the results of distillation separation.The thermodynamic analysis was completed with the calculations of binary and ternary phase equilibrium. The results showed the carbon monoxide concentration as issue in simulation procedure and, therefore, it affected separation calculations.

Author Biographies

Monica Julieth Valencia Botero, Instituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia - Sede Manizales

Estudiante de Maestría en Ingeniería - Ingeniería Química, Universidad Nacional de Colombia, Sede Manizales

Ingeniera Química

Carlos Ariel Cardona Alzate, Instituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia - Sede Manizales

Profesor Titular, Departamento de Ingeniería Química, Universidad Nacional de Colombia, Sede Manizales.

Published

2013-07-06

How to Cite

[1]
M. J. Valencia Botero and C. A. Cardona Alzate, “Influence of the thermodynamics model on the prediction of GHGs separation by distillation”, Ing. y Des., vol. 31, no. 1, pp. 64–83, Jul. 2013.