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Fuel properties are always considered as one of the main factors to diesel engines concerning performance and emission discussions. There are still challenges for researchers to identify the most correlating and non-correlating fuel properties and their effects on engine behavior. Statistical analyses have been applied in this study to derive the most un-correlating properties. In parallel, sensitivity analysis was performed for the fuel properties as well as to the emission and performance of the engine. On one hand, two different analyses were implemented; one with consideration of both, non-aromatic and aromatic fuels, and the other were performed separately for each individual fuel group. The results offer a different influence on each type of analysis. Finally, by considering both methods, most common correlating and non-correlating properties have been derived.

Partly homogeneous combustion (PHC) can assist the reduction of the engine-out emissions but its influence is limited by using conventional diesel fuel. To verify whether alternatively designed fuels can help to improve the PHC performance, the impact of different fuel properties in combination with engine control levers have been studied. Based on single cylinder heavy duty direct injection diesel engine (DIDE) test results with different diesel and diesel-like fuels, operating under partly homogeneous combustion conditions, the impact of the combination of the fuel properties were investigated. The fuel matrix was designed such that the fuel properties varied in sufficiently large ranges, in order to be able to detect the impact of the properties at the selected operating points. A statistical principal component analysis (PCA) has been applied to the fuel matrix to specify the interrelationship between the fuel properties, as well as to derive the most independent fuel properties.