黄静雯, 李宏光. A Novel Real-time Optimization Methodology for Chemical Plants[J]. 中国化学工程学报(英文版), 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.
黄静雯, 李宏光. A Novel Real-time Optimization Methodology for Chemical Plants[J]. 中国化学工程学报(英文版), 2012,20(6):1059-1066.DOI: 10.1016/S1004-9541(12)60587-4.
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.
A Novel Real-time Optimization Methodology for Chemical Plants
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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