The optimization of the product yield for atmospheric tower based on intelligent supervisory system

Author

Zhao, Yu-Hong

Author_Institution

Inst. of Syst. Eng., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

1021

Abstract

Conventional operating optimization method of atmospheric tower consists of a lot of simulation and computation. The convergency cant be guaranteed. An intelligent supervisory system suitable for real time optimization is presented in this paper. The system is constructed based on expert´s knowledge. Cut points of the products are determined according to the crude oil property and the product scheme first. Set points of the side draw temperatures are readjusted appropriately by the supervisory program. The top limit of the product can be reached and then the optimal economic benefit of the unit can also be obtained.

Keywords

distillation; expert systems; intelligent control; optimisation; petrochemicals; refining; supervisory programs; atmospheric tower; experts knowledge; intelligent supervisory system; real time optimization; supervisory program; Atmospheric modeling; Computational modeling; Fuel economy; Intelligent systems; Operating systems; Optimization methods; Petroleum; Poles and towers; Pollution measurement; Power generation economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259631

Filename

1259631