A Novel Real-time Optimization Methodology for Chemical Plants

Chinese Journal of Chemical Engineering ›› 2012, Vol. 20 ›› Issue (6): 1059-1066.

A Novel Real-time Optimization Methodology for Chemical Plants

黄静雯, 李宏光

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

收稿日期:2012-05-16 修回日期:2012-07-10 出版日期:2012-12-28 发布日期:2012-12-28
通讯作者: LI Hongguang,E-mail:lihg@mail.buct.edu.cn

A Novel Real-time Optimization Methodology for Chemical Plants

HUANG Jingwenn, LI Hongguang

College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China

Received:2012-05-16 Revised:2012-07-10 Online:2012-12-28 Published:2012-12-28

摘要/Abstract

摘要： In this paper,a novel approach termed process goose queue (PGQ) is suggested to deal with real-time optimization (RTO) of chemical plants.Taking advantage of the ad-hoc structure of PGQ which imitates biologic nature of flying wild geese,a chemical plant optimization problem can be re-formulated as a combination of a multi-layer PGQ and a PGQ-Objective according to the relationship among process variables involved in the objective and constraints.Subsequently,chemical plant RTO solutions are converted into coordination issues among PGQs which could be dealt with in a novel way.Accordingly,theoretical definitions,adjustment rule and implementing procedures associated with the approach are explicitly introduced together with corresponding enabling algorithms.Finally,an exemplary chemical plant is employed to demonstrate the feasibility and validity of the contribution.

关键词: real-time optimization, chemical plants, process goose queue, multi-layer process goose queue

Abstract: In this paper,a novel approach termed process goose queue (PGQ) is suggested to deal with real-time optimization (RTO) of chemical plants.Taking advantage of the ad-hoc structure of PGQ which imitates biologic nature of flying wild geese,a chemical plant optimization problem can be re-formulated as a combination of a multi-layer PGQ and a PGQ-Objective according to the relationship among process variables involved in the objective and constraints.Subsequently,chemical plant RTO solutions are converted into coordination issues among PGQs which could be dealt with in a novel way.Accordingly,theoretical definitions,adjustment rule and implementing procedures associated with the approach are explicitly introduced together with corresponding enabling algorithms.Finally,an exemplary chemical plant is employed to demonstrate the feasibility and validity of the contribution.

Key words: real-time optimization, chemical plants, process goose queue, multi-layer process goose queue

黄静雯, 李宏光. A Novel Real-time Optimization Methodology for Chemical Plants[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1059-1066.

HUANG Jingwenn, LI Hongguang. A Novel Real-time Optimization Methodology for Chemical Plants[J]. Chin.J.Chem.Eng., 2012, 20(6): 1059-1066.

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A Novel Real-time Optimization Methodology for Chemical Plants

A Novel Real-time Optimization Methodology for Chemical Plants

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