Cloud point prediction of fuels and fuel blends

The cloud point temperature, the temperature at which the first wax crystal s appear in solution, is one of the most important specifications associate d with the low temperature behaviour of a fuel. A database of about 80 fuel s and fuel blends was collected and used to assess the performance of the t hree predictive local composition models (Wilson, NRTL and UNIQUAC) for clo ud point prediction. The results indicates that Predictive UNIQUAC can pred ict the cloud points of the fuels within the experimental uncertainty of th e measurements. It could thus be a useful tool in the production of fuels b oth in the design of refining process and the blend of fuels to meet the lo w temperature specifications. (C) 2001 Elsevier Science B.V. All rights res erved.