• Title of article

    Evaluation of optimal activity coefficient models for modeling and simulation of liquid–liquid equilibrium of biodiesel + glycerol + alcohol systems

  • Author/Authors

    do Carmo، نويسنده , , Frederico R. and Evangelista، نويسنده , , Nathan S. and de Santiago-Aguiar، نويسنده , , R?lvia S. and Fernandes، نويسنده , , Fabiano A.N. and de Sant’Ana، نويسنده , , Hosiberto B. de Sant’Ana، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    9
  • From page
    57
  • To page
    65
  • Abstract
    Biodiesel is considered a good alternative for diesel engines, given its characteristics, for being non-toxic and for being a more environmental-friendly fuel. A liquid–liquid equilibrium (LLE), comprising biodiesel + glycerol + alcohol, occurs during the production of biodiesel. The use of reliable thermodynamics models is essential to describe biodiesel + glycerol + alcohol systems as to design and analyze the process and its equipment. In this work, experimental data of 34 different systems (27 for biodiesel + glycerol + alcohol; and 7 for methyl oleate + glycerol + methanol) were used for parameter estimation and to evaluate four of the main activity coefficient models (ASOG, UNIFAC, UNIFAC-LLE and UNIFAC-Dortmund) that could be used with biodiesel systems. Additionally, binary parameters for glycerol/methanol, methanol/methyl oleate and glycerol/methyl oleate have been estimated by NRTL and UNIQUAC models. Root mean square deviations (RMSD) have been used to compare experimental and simulated data. RMSD analysis showed that the UNIFAC-Dortmund model was the model that best represented the biodiesel liquid–liquid equilibrium. Best representation of the system followed the order: UNIFAC-Dortmund > ASOG > UNIFAC-LLE > UNIFAC > UNIQUAC > NRTL.
  • Keywords
    Biodiesel–glycerol–alcohol systems , Liquid–liquid equilibrium , Parameter estimation , Activity coefficient model
  • Journal title
    Fuel
  • Serial Year
    2014
  • Journal title
    Fuel
  • Record number

    1472033