Training Simulator And Product Quality Modeling Of Crude Distillation Unit

Crude distillation unit (CDU) is the first procedure of oil refining, and plays an important role in petrochemical process. Its performance can have a major economic impact on plant profitability. On the background of the DCS training simulator project of the 300×10 4t y crude distillation unit of Huabei petrochemical company, research on training simulator and product quality modeling is carried out. The main work can be summarized as follows: modeling of the whole process, method of establishing product quality model, and developing the training system.The dynamic models of every subsystem are established by mechanism analysis. The furnace has multi-input and two kinds of fuel: oil and gas. Pseudo-components method is used to establish a five-lumped kinetic model of a crude distillation column, and the model is modified with a new coefficient when the character of crude oil is changed. A simplified model is proposed for the complex pipeline net.Soft sensing technology is introduced to estimate sideline products quality of the distillation column. For estimating diesel oil's dry point and aviation kerosene's dry point in one soft sensor, RBF and PCA-RBF is used to establish the MIMO model. A novel hybrid algorithm coupled by artificial immune (IA) and PCA-RBF network is presented to get a more accurate soft-sensing model for MIMO system. A multiple neural network structure based on RBF networks is adopted by sorting input samples with Mahalanobis distance. This method provides a good approach to embed the quality model into training simulator.According to the characteristics of startup and shutdown procedure, the model of routine operation is improved and modified reasonably. A dynamic model of CDU for simulation training purposes is developed, which can exactly describe the kinetic characteristics of the whole system. The operations evaluation system is developed to judge operators'performance. The training system has been used in Huabei petrochemical company, which has met the requirements of process training and achieved good effect.