Method for optimizing cracking reaction operating condition of ethylene cracking furnace

Abstract

The invention relates to a method for optimizing operating conditions of a cracking reaction in an ethylene cracking furnace. The method comprises the following steps: selecting outlet temperature and cracking feed load of the cracking furnace, as well as a steam-hydrocarbon ratio (or dilution ratio) as input variables of a process model of the cracking reaction; selecting an ethylene yield and a propylene-ethylene ratio (or total triene yield) which reflect the cracking degree as dependent variables of the model; establishing a neural network model of the ethylene cracking reaction process by taking actual production data of the ethylene cracking furnace and experimental data of an experimental cracking model as training samples; and further performing optimization calculation on the operating conditions of the cracking reaction to obtain the optimum operating conditions of the cracking reaction, thus maximizing yield of the ethylene or the triene in the cracking products under a load constraint satisfying the production requirements.

Description

technical field [0001] The invention belongs to the cross field of chemical reaction engineering and artificial intelligence, and relates to an optimization method for the thermal cracking reaction process operating conditions of a tubular cracking furnace of an ethylene plant. Background technique [0002] Ethylene is an important basic raw material in the chemical industry, and its output has become the main symbol to measure the petrochemical development of a country or region. The scale, cost, production stability, and product quality of ethylene production will have a major impact on the entire petrochemical industry, so the ethylene plant has become the core production plant that affects the overall situation. [0003] With the continuous capacity expansion of ethylene plants and the deepening of the integration of refining and chemical engineering, the shortage of ethylene raw material resources and the diversification of raw materials have become increasingly promine...

AI Technical Summary

Problems solved by technology

Due to frequent changes in raw material sources and production load, the operating conditions of the cracking furnace are adjusted only based on production experience, often resulting in product quality indicators meeting production requirements, but the total yield of trienes (referring to ethylene, propylene and butadiene) is low

The cracking furnace of the ethylene plant usually operates under conditions deviated from the optimal operating conditions, resulting in high material consumption and large fluctuations in product quality

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