The cloud point temperature, the temperature at which the first wax crystals appear in solution, is one of the most important specifications associated with the low temperature behaviour of a fuel. A database of about 80 fuels and fuel blends was collected and used to assess the performance of the three predictive local composition models (Wilson, NRTL and UNIQUAC) for cloud point prediction. The results indicates that Predictive UNIQUAC can predict the cloud points of the fuels within the experimental uncertainty of the measurements. It could thus be a useful tool in the production of fuels both in the design of refining process and the blend of fuels to meet the lo
For prediction of future performance of condensate reservoirs, it is essential to know the dew-point...
Stochastic reconstruction (SR) methods are used to generate a series of molecules that mimic the pro...
Many researchers in industry and academia are showing an increasing interest in the definition of fu...
Some years ago the authors proposed a model for the non-ideality of the solid phase, based on the Pr...
Sustainable aviation fuels are a near-term solution for aviation greenhouse gas emission reduction. ...
Excess Gibbs energy models based on the local composition concept are applied to the description of ...
The role of typical hydrocarbon building blocks of gas-to-liquid (GTL) derived jet fuels on their ph...
Wax formation in hydrocarbon fluids at low temperatures is one of the harassing problems faced by th...
The flash point of hydrocarbons and petroleum mixtures is important safety-related data for processi...
A predictive thermodynamic model is utilized for the calculation of fuel properties of oxymethylene ...
In spite of their interest to understand the low temperature behavior of biodiesel, data on the crys...
Flash point is one of the most important propertiesof engine fuel that indicatesthe lowest temperatu...
This work aims to investigate the influence of the pure component parameters of n-alkanes and assump...
ACLInternational audienceWax deposition receives increasing attention as oil industries moves toward...
The physicochemical properties of petroleum-derived jet fuels mainly depend on their chemical compos...
For prediction of future performance of condensate reservoirs, it is essential to know the dew-point...
Stochastic reconstruction (SR) methods are used to generate a series of molecules that mimic the pro...
Many researchers in industry and academia are showing an increasing interest in the definition of fu...
Some years ago the authors proposed a model for the non-ideality of the solid phase, based on the Pr...
Sustainable aviation fuels are a near-term solution for aviation greenhouse gas emission reduction. ...
Excess Gibbs energy models based on the local composition concept are applied to the description of ...
The role of typical hydrocarbon building blocks of gas-to-liquid (GTL) derived jet fuels on their ph...
Wax formation in hydrocarbon fluids at low temperatures is one of the harassing problems faced by th...
The flash point of hydrocarbons and petroleum mixtures is important safety-related data for processi...
A predictive thermodynamic model is utilized for the calculation of fuel properties of oxymethylene ...
In spite of their interest to understand the low temperature behavior of biodiesel, data on the crys...
Flash point is one of the most important propertiesof engine fuel that indicatesthe lowest temperatu...
This work aims to investigate the influence of the pure component parameters of n-alkanes and assump...
ACLInternational audienceWax deposition receives increasing attention as oil industries moves toward...
The physicochemical properties of petroleum-derived jet fuels mainly depend on their chemical compos...
For prediction of future performance of condensate reservoirs, it is essential to know the dew-point...
Stochastic reconstruction (SR) methods are used to generate a series of molecules that mimic the pro...
Many researchers in industry and academia are showing an increasing interest in the definition of fu...