Simulation of naphtha pyrolysis in industrial ethylene cracking furnaces

which usually requires both firebox and reactor models

is non-linear and strongly compounded. The firebox model involves a great number of variables and takes a lot of time to get a solution. An intelligent hybrid model was proposed by first designing an artificial neural network (ANN) from data of the firebox model and then combining ANN with the reactor model. The intelligent hybrid modelling and simulation was developed on an industrial ethylene cracking furnace. By using actual process data

it is demonstrated that the hybrid simulation shows good agreement with industrial production. The hybrid model significantly reduces simulation time and largely meets requirement of industrial modeling.