Composition Analysis and Viscosity Prediction of Complex Fuel Mixtures Using a Molecular-Based Approach

作者：Aquing Michelle; Ciotta Fausto; Creton Benoit; Fejean Christophe; Pina Annabelle; Dartiguelongue Cyril; Trusler J P Martin; Vignais Romain; Lugo Rafael; Ungerer Philippe; Nieto Draghi Carlos^*

来源：Energy & Fuels, 2012, 26(4): 2220-2230.

DOI：10.1021/ef300106z

The automobile industry currently faces the challenge of developing a new generation of diesel motor engines that satisfy both increasingly stringent emission regulations and reduces specific fuel consumption. The performance of diesel engines, seen in terms of emissions and specific fuel consumption, generally improves with increasing fuel-injection pressure. The design of the next generation of diesel fuel injection systems requires the knowledge of the thermophysical properties, in particular viscosity, of a wide-type of diesel fuels at pressures up to 300 MPa or more. The objective of the present work is to demonstrate that it is possible to predict the viscosity of any petroleum-based diesel fuel, using, exclusively, its molar fraction distribution as provided by multidimensional gas chromatography techniques. The precise knowledge of the fuel chemical constituents allows the understanding of the influence of the different hydrocarbon families on the fluid viscosity by means of molecular dynamics simulations. The accuracy of the Anisotropic United Atom force-field was tested and was found to be in agreement with experimental viscosities obtained with a new vibrating wire device at different temperatures and pressures up to 300 MPa. Finally, the experimental and simulated viscosities have been compared with improved group contribution method that has been coupled with gas chromatography experimental measurements for a viscosity prediction that was estimated to be of less than 18% of mean absolute deviation.

• 出版日期2012-4