Operation Optimization of Ethylene Cracking Furnace based on NNIA Algorithm

In the petrochemical industry, pyrolysis is the main way to produce ethylene and propylene, and the ethylene cracking furnace is the critical device in the thermal cracking process. In order to increase the product yield and control the production cost, this paper optimizes the ethylene product yield, propylene product yield, naphtha flow rate and steam flow rate of the ethylene cracking furnace based on the NNIA algorithm to gain Pareto solution set. The text results present that the method of this paper can deal with the multi-objective optimization model of the ethylene cracking furnace with effect. While increasing the ethylene production rate, the multi-objective optimization model can reduce the naphtha flow rate and steam flow rate. At the same time, the propylene output has only a small reduction, which can bring higher levels in actual production and economic benefits.