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MODELING AND OPTIMIZATION OF GAS OIL HDS IN TRICKLE BED REACTOR

The present work aims to optimize an industrial HDS process. The chemical process is considered to take place in the three phase catalytic trickle-bed reactor. Non-linear kinetics coupled with transitional mathematical model of the gas, liquid and solid phases are used to describe the dynamic behavior of the multivariable process. Due to the high dimensionality and non-linearity of the kinetic model, the solution of the optimization problem through conventional algorithms does not always lead to the convergence. This fact justifies the use of an evolutionary method, based on GA, to deal with this process. In this way, the GA code is coupled with the rigorous model of the reactor. The aim of this optimization is searching the process conditions and reactor length that maximize the productivity of sulfur content of the outlet oil subject to the environmental constraint of exit sulfur concentration. The results show that GA could successfully converge to the optimal conditions.