Complete period dynamic optimization method for industrial ethylene cracking furnace and based on surrogate model

Abstract

The invention relates to a complete period dynamic optimization method for an industrial ethylene cracking furnace and based on a surrogate model. By simulating the mechanism of the industrial ethylene cracking furnace and utilizing an experimental design principle, a certain amount of simulation data is generated, then a neural network surrogate model is utilized to carry out modeling. By employing the neural network surrogate model and combining iterative computation update of the thickness of a coking layer in a furnace tube, a complete period dynamic model of the cracking furnace is obtained. Based on the complete period dynamic model of the cracking furnace, the complete period dynamic optimization method for the cracking furnace is provided, then a constructed continuous dynamic optimization model is approximately solved by means of a piecewise linear representation method. Compared with experiential operation, dynamic optimization is substantially greater in economic benefit. The complete period dynamic optimization method is simple in theory, reasonable in derivation, high in engineering usability, easy to transplant and wide in adaptability, and is simple and practicable.

Description

technical field [0001] The invention relates to an agent model-based full-cycle dynamic optimization method for an industrial ethylene cracking furnace. Background technique [0002] The ethylene industry has always occupied the core position of the petrochemical industry, and the ethylene output is an important symbol to measure the comprehensive industrial level of a country. As the leader of the ethylene plant, the ethylene cracking furnace has an important impact on the yield and output of key products such as ethylene, and its operating status and operating level have an important impact on the yield and output of key products such as ethylene. Therefore, improving the operating level of the ethylene cracking furnace and optimizing its operation are key An important way of device efficiency. Ethylene cracking furnace converts cracking raw materials such as liquefied petroleum gas, ethane, propane, light naphtha, naphtha, hydrogenated tail oil and light diesel oil into ...

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Problems solved by technology

[0004] In order to further improve the operation level of ethylene cracking furnaces, it is of great significance to implement full-cycle dynamic optimization research on industrial ethylene cracking furnaces. Through literature search and patent system, it is found that there is no precedent for this aspect in industrial applications at present, so make full use of on-site operations It is of great significance to develop the full-cycle dynamic optimization technology of industrial ethylene cracking furnaces by combining historical data with neural network proxy models of cracking furnaces, data mining and parameter estimation technology

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