OPTIMIPRO | Projects 2000-2020.
One of the cases is a self adaptive real-time optimization system of 1.4 million tons/year MIP-CGP FCCU for a petrochemical plant in Shandong. Optimization objective is economic benefits of the unit. The variables include the reaction temperature of the first reactor, the catalyst storage capacity of the second reactor, the flow rate of pre lift dry gas, the residue ratio of feed, the feed temperature, the terminating agent flow rate, the recycle oil ratio, and the flow rate of new catalyst. By adjusting these variables online, the best match for the variables can be automatically found. According to over 7 years of ledger statistics, in the first 39 months of before optimization (3 years and 3 months), the total liquid yield was 80.0%, and in the 48 months of optimization (4 years), the total liquid yield was 81.37%, an increase of 1.37% in total liquid yield. In the 4 years of optimization operation, more than 50000 tons of liquid hydrocarbons, gasoline, and diesel were produced comparing with the manual operation.
The self adaptive real-time optimization system of the 2 # FCC unit in a petrochemical enterprise in Jiangsu Province adopts the Dynamic Correlation Integration optimization technology to design and construct an online optimization system with 5 optimization schemes and 8 optimization variables. It can automatically optimize the key operating variables of the riser reactor online according to the selected optimization scheme. The system was first put into operation in January 2016 and works well. Through data comparison and analysis, both the total liquid yield and economic benefits have been improved, and the optimization effect is significant.
A reforming adaptive real-time optimization system of a petrochemical company in Shandong has been put into operation since June 2011. The optimization objectives are: to maximize the yield of C5+stable gasoline octane number, C7+heavy distillate gasoline octane number, C5+stable gasoline yield, and the total economic benefits of the reforming unit. Optimization variables: reactor temperature from the first to the fourth reactor, as well as online detection of octane number (using an online Raman spectrometer). In this project, a highly reliable online Raman spectroscopy octane number and aromatic hydrocarbon online analyzer was developed, which can directly measure the composition of the feed solution after the reforming reaction, guide optimization, and achieve good results. The project passed the factory acceptance in September 2015.