A Novel Real-time Optimization Methodology for Chemical Plants

黄静雯; 李宏光

doi:10.1016/S1004-9541(12)60587-4

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A Novel Real-time Optimization Methodology for Chemical Plants

Updated：2026-01-06

- A Novel Real-time Optimization Methodology for Chemical Plants
- Chinese Journal of Chemical Engineering Vol. 20, Issue 6, Pages: 1059-1066(2012)
- Affiliations：
  
  College of Information Science and Technology, Beijing University of Chemical Technology,Beijing,China,100029
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(12)60587-4
  CLC：
- Published：2012
- Accepted：
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HUANG Jingwenn, LI Hongguang. A Novel Real-time Optimization Methodology for Chemical Plants[J]. Chin.J.Chem.Eng., 2012, 20(6): 1059-1066.
DOI：

HUANG Jingwenn, LI Hongguang. A Novel Real-time Optimization Methodology for Chemical Plants[J]. Chin.J.Chem.Eng., 2012, 20(6): 1059-1066. DOI： 10.1016/S1004-9541(12)60587-4.

摘要

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.

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