Loading...

Estimation of biodiesel physical properties using local composition based models

Abedini Najafabadi, H ; Sharif University of Technology | 2012

1013 Viewed
  1. Type of Document: Article
  2. DOI: 10.1021/ie301464g
  3. Publisher: 2012
  4. Abstract:
  5. In this study, the local composition based models such as the Wilson, the nonrandom two-liquid (NRTL), and the Wilson-NRF have been applied in correlation and estimation of density, viscosity, and surface tension of biodiesels. The thermodynamic models have been used in correlating the thermophysical properties for 215 experimental data points. These models have the interaction energy between each pair that is considered as adjustable parameters. To decrease the number of these adjustable parameters, it is assumed that the biodiesels are composed of two hypothetical components. The average absolute deviation (AADs) of the correlated density of biodiesels for the Wilson, the NRTL, and the Wilson-NRF models are 0.0141, 0.0136, and 0.0148, respectively. The AADs of the correlated viscosity of biodiesels for the Wilson, the NRTL, and the Wilson-NRF models are 0.638, 0.547, and 0.621, respectively. Also, the AAD of the correlated surface tension of biodiesels for the Wilson, the NRTL, and the Wilson-NRF models are 0.402, 0.392, and 0.479, respectively. Comparisons between the results of the models previously proposed in the literature with those obtained in the present study confirm the effectiveness of the local composition based models in estimating the physical properties of biodiesels. Among these models, the NRTL model can estimate physical properties of biodiesels the most accurately
  6. Keywords:
  7. Adjustable parameters ; Average absolute deviation ; Data points ; Interaction energies ; Local compositions ; Non random two liquids ; NRTL model ; Thermodynamic model ; Estimation ; Physical properties ; Surface tension ; Thermodynamic properties ; Viscosity ; Biodiesel
  8. Source: Industrial and Engineering Chemistry Research ; Volume 51, Issue 41 , September , 2012 , Pages 13518-13526 ; 08885885 (ISSN)
  9. URL: http://pubs.acs.org/doi/abs/10.1021/ie301464g