Servicio de Información Comunitario sobre Investigación y Desarrollo - CORDIS

Statistical correlation of fuel properties with particle emissions

A statistical analysis on the emission results from a common-rail vehicle was conducted using fuel properties as sample classification parameters. The statistical analysis is applied on integrated gaseous and particulate emissions collected over transient tests.

Two statistical tools are applied:
- Analysis of Variance to distinguish, which fuel properties lead to statistically significant emission differentiation.

- Principal Component Analysis to identify whether any observed effect on pollutants are due to the physical or chemical character of the fuel, by grouping different properties.

Results show that NOx seems to be more dependant on the chemical fuel character while PM is more dependant on physical properties. One may insist that this is also consistent with the diesel combustion process because PM strongly depends on injection characteristics, which are affected by physical properties of the fuels while NOx rather depends on peak temperatures inside the cylinder, which have limited direct dependence on fuel physical properties.

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University Campus
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