Page 92 - Fluid Catalytic Cracking Handbook
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FCC Feed Characterization  §9

 However, physical properties such as °API gravity and distillation are
 easy to measure. As a result, empirical correlations have been devel-
 oped by the industry to determine chemical properties from these
 physical analyses.
   Characterizing FCC feed provides quantitative and qualitative esti-
 mates of the FCC unit's performance. Process modeling uses the feed
 properties to predict FCC yields and product qualities. The process
 model should be used in daily unit monitoring, catalyst evaluations,
 optimization, and process studies.
   There are no standard correlations. Some companies have proprietary
 correlations, but this does not mean that these correlations do a better
 job at predicting yields. Nonetheless, they all incorporate most or some
 of the same physical properties. The most widely published correla-
 tions in use today are:

   • K Factor
   • TOTAL
   • n-d-M Method
   • API Method


 K Factor


   The K factor is a very useful indication of feed crackability. The K
 factor relates to the hydrogen content of the feed. It is normally
 calculated using feed distillation and gravity data, and measures
 aromaticity relative to paraffinicity. Higher K values indicate increased
 paraffinicity and more crackability. A K value above 12.0 indicates a
 paraffinic feed; a K value below 11.0, aromatic.
   Like aniline point, the K factor differentiates between the highly
 paraffinic and aromatic stocks. However, within the narrow range
 (K = 11.5-12.0), the K factor does not correlate between aromatics
 and naphthenes. Instead, it relates fairly well to the paraffin content
 (Figure 2-11). The K factor does not provide information as to the ratio
 of naphthene and paraffin contents. The ratio of naphthenes to paraffins
 can vary considerably with the same K values (Table 2-8).
   K value is the ratio of the cube root of a boiling temperature to
 gravity. There are two widely used methods to calculate the K factor:
 K w and the K uop. The equations used for calculating both factors are
 as follows:
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