Typical case of a factory gas and MTBE intelligent control system
Category:
Cooperation Case
Typical Case
Zhejiang Bangye Technology Co., Ltd. and Zhenhai Refining & Chemical Co., Ltd. adopted multivariable model predictive control technology, designed and developed advanced control system for gas fractionation and MTBE equipment. The introduction of advanced control system further improved the automation level of the device and the stability of key process parameters. It stabilizes the product quality, reduces the energy consumption of the device, reduces the labor intensity of the operator, and brings considerable economic benefits to the device.
Figure 1 is the temperature control effect diagram of the top sensitive plate of the deionization tower of the gas separation device. The multi-variable model predictive control technology is introduced, and feedforward control is introduced at the same time to achieve smooth control of the temperature of the sensitive plate, and to ensure the separation index of the target product. By comparing the effects before and after the first control, the standard deviation of the temperature of the sensitive plate decreased by 75.56%.
Figure 2 for gas device product propylene purity control effect. By multivariable model predictive control technology, has realized the steady control of propylene purity, at the same time through & other; Card edge & throughout; Operation, improve equipment production. Contrast, through the effect of before and after the first control putting-in-service proactively control putting-in-service proactively before propylene purity average fell from 99.65% to 99.55% (technical index is 99.5%), the standard deviation has fallen by 89.71%, after statistics propylene yield increased by 2.79%.
Figure 3 for MTBE plant reactor hot temperature control effect. Hot spot temperature control is a key index, the reactor control smooth hot spot temperature control to ensure the good running of the reaction, and reduce the disturbance to the subsequent separation device. Through the effect of contrast, before and after the first control putting-in-service proactively reactor hot spot temperature standard deviation was 38.24% lower.
Figure 4 is a graph showing the temperature control effect of the top of the MTBE azeotropic distillation column. The temperature at the top of the column affects the separation efficiency of the components, and the smooth control of the temperature at the top of the column ensures the yield of MTBE. The temperature of the tower top is greatly affected by the ambient temperature. The advanced control system of MTBE adopts the multivariable model predictive control technology and introduces the feedforward variable, which effectively overcomes the interference caused by the ambient temperature and stabilizes the temperature at the top of the tower. By comparing the effects before and after the first control, the standard deviation of the temperature at the top of the tower decreased by 44.45%.
Address：19F, Building S3, HeRui Science and Technology Park, No.475, Changhe Road, BInjiang District, Hangzhou, Zhejiang, China