Abstract
In order to meet common fuel specifications such as cetane number and volatility, a refinery must blend a number of refinery stocks derived from various process units in the refinery. Fuel chemistry can be significantly altered in meeting fuel specifications. Additionally, fuel specifications are seldom changed in isolation, and the drive to meet one specification may significantly alter other specifications or fuel chemistry.
Homogeneous charge compression ignition (HCCI) engines depend on the kinetic behavior of a fuel to achieve reliable ignition and are expected to be more dependent on fuel specifications and chemistry than today's conventional engines. Regression analysis can help in determining the underlying relationships between fuel specifications, chemistry, and engine performance. Principal component analysis (PCA) was used in this work, because of its ability to deal with co-linear variables and to uncover 'hidden' relationships in the data.
In this paper, a set of 11 diesel fuels with widely varying properties were run in a simple HCCI engine. Fuel properties and engine performance are examined to identify underlying fuel relationships and to determine the interplay between engine behavior and fuels. Results indicate that fuel efficiency is mainly controlled by a collection of specifications related to density and energy content and ignition characteristics are controlled mainly by cetane number.