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Study of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties

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  • Florido, Priscila M.
  • Visioli, Paola C.F.
  • Pinto, Camila N.
  • Gonçalves, Cintia B.

Abstract

The present paper reports a viscosity and density unpublished database of systems formed for fatty acid methyl esters (FAMEs), leading to 426 experimental data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict density and viscosity, respectively. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. Density estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, respectively. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation.

Suggested Citation

  • Florido, Priscila M. & Visioli, Paola C.F. & Pinto, Camila N. & Gonçalves, Cintia B., 2020. "Study of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties," Renewable Energy, Elsevier, vol. 151(C), pages 837-845.
    • Handle: RePEc:eee:renene:v:151:y:2020:i:c:p:837-845
    DOI: 10.1016/j.renene.2019.11.083
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    References listed on IDEAS

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