Evaluation of sparse data sets obtained from microactivity testing of FCC catalysts

摘要: Abstract Although many mechanistic studies of gas–oil cracking on fluid catalytic catalysts have been published, only a small amount literature has described their application for the modelling sparse data sets amenable to typical evaluations in catalyst screening studies. The well-known microactivity test is most common approach determine activity and selectivities predict performance commercial FCC units. For this purpose yields obtained different or feedstocks be compared at constant values such as conversion, coke gasoline. Generally, interest cannot experimentally therefore interpolation techniques applied gain knowledge individual yields. However, number experiments usually performed large parameters which estimated, if equations derived from reaction kinetics are used, render utilisation appropriate models yield predictions difficult. In paper method presented enables kinetic terms. characterised with new its effectiveness was conventional methods. It demonstrated that informative graphical representations reduced expressions lead an efficient analysis.