A Novel Real-time Optimization Methodology for Chemical Plants
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 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.
Real-time optimization (RTO) Chemical plants Process goose queue (PGQ) Multi-layer PGQ
Huang Jingwen Li Hongguang
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 10
国内会议
厦门
英文
1-7
2012-08-01（万方平台首次上网日期，不代表论文的发表时间）