Real-time yield predicting method for catalytic cracking device

Abstract

The invention discloses a real-time yield predicting method for a catalytic cracking device. According to the real-time yield predicting method for the catalytic cracking device, kinetic parameters and device parameters of a catalytic cracking reaction are corrected in real time by processing field real-time data by adopting a data reconciliation technology, and combining an improved differential evolution algorithm, so that the actual operating situations of the device can be described accurately by using a catalytic cracking device mechanism model. The method comprises the following steps: on the basis of a corrected model, analyzing the influence on the yield of a catalytic cracking product caused by key operation / process conditions, such as an operating temperature, a feeding load, a raw material preheating temperature, a reaction pressure, a residue adding ratio, a regenerator temperature, a catalyst-to-oil ratio and the like; performing piecewise linearization according to an influence trend, solving a linear equation to obtain corresponding Delta-Base yield data, associating the operating conditions and the Delta-Base yield data by combining a neural network modeling technology, and establishing a yield agent model, so that the yield data calculating speed is improved; the real-time yield predicting of a continuous catalytic cracking device is realized; a theoretical support is provided for establishing an accurate plan optimization PIMS model.

Description

technical field [0001] The invention relates to a method for real-time prediction of the yield of a catalytic cracking unit based on mechanism and operating characteristics. The method can be used for modeling and simulation of the catalytic cracking process, real-time correction of the model, and real-time construction of a PIMS production plan optimization model. Background technique [0002] Catalytic cracking is the main process in which heavy petroleum hydrocarbons react under the action of catalysts to produce light oil products such as liquefied gas, gasoline and diesel, and plays an important role in the production of light oil products such as gasoline and diesel. Especially in my country, the catalytic cracking process is the most important process for the lightening of heavy oil, and provides about 75% of gasoline, 30% of diesel and 30-40% of low-carbon olefins in my country, and is in the refining industry of China in the 21st century. will still play an important...

AI Technical Summary

Problems solved by technology

The reason is that the current PIMS models of production planning all use fixed yields, which makes it difficult to accurately describe the actual operation process of the device.

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