The
Canadian Journal of Chemical Engineering, Volume 91, Issue 2, pages 279–290,
February 2013, DOI: 10.1002/cjce.21700
Fluid
catalytic cracking optimisation using factorial design and genetic algorithm
techniques
José F. Cuadros 1, Delba C. Melo 1, Rubens Maciel Filho 1, Maria R.
Wolf Maciel 2
josefcuadros@feq.unicamp.br
1 LOPCA/UNICAMP-Laboratory of Optimisation, Design and Advanced Control,
Department of Chemical Process, School of Chemical Engineering, University of
Campinas, UNICAMP—13083-970, Campinas, Sao Paulo, Brazil
2 LDPS/UNICAMP, Laboratory of Separation Process Development, Department of
Chemical Process, School of Chemical Engineering, University of Campinas,
UNICAMP—13083-970, Campinas, Sao Paulo, Brazil
Abstract
Authors
employed statistical techniques coupled with genetic algorithm (GA) to determine
optimal values of key operational variables in a fluid catalytic cracking (FCC)
process. They studied a Kellog Orthoflow F fluid catalytic cracking process
model. The model is a highly nonlinear process with a large number of variables
with strong interactions among them.
They produced a reduced process model through factorial design
technique to be used as a process function in the optimisation work, resulting
in the operational conditions that maximise conversion without infringing
operational restrictions with savings in computational burden and time.
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