Optimal grade transitions in a gas phase polyethylene reactor

McAuley, Kimberley B.; MacGregor, John F.

doi:10.1002/aic.690381008

Cited by 141 publications

(89 citation statements)

References 17 publications

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“…The resulting optimization problem is less time-consuming and much easier to solve than optimization problems involving calculations of multiple parameters trajectories (McAuley and MacGregor, 1992).…”

Section: Reactor Startup Strategymentioning

confidence: 99%

Startup strategy design and safeguarding of industrial adiabatic tubular reactor systems

1996

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Section: Reactor Startup Strategymentioning

confidence: 99%

Startup strategy design and safeguarding of industrial adiabatic tubular reactor systems

1996

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“…To achieve the on-line evaluation of the MI, McAuley and MacGregor [1][2][3] proposed an MI estimation method which consists of a log function of the linear combination of the flow rate of each component. Later, Ogawa et al [4] extended their estimation method by adding a temperature term.…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of the melt index in HDPE process

Seong

Lee

et al. 2009

Korean J. Chem. Eng.

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We investigate the model for an industrial isothermal HDPE slurry reactor. The model, consisting of several nonlinear equations, can be linearized to give sets of linear time invariant state space model. The effectiveness of the linearized model is verified by the numerical simulations. A simple model predictive control scheme is constructed based on the linear state space model. The value of the melt index is obtained from the values of the manipulated and controlled variables generated from the control scheme. The control performance can be evaluated from the comparison between the computed melt index values and measured melt index values. The control scheme shows good tracking performance in the numerical simulations. We believe that the model developed in the present study can be effectively used to predict process variables as well as to control the melt index.

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“…Other studies have employed black-box models such as a neural network (Ohshima and Tanigaki, 2000). Meanwhile, operation during the grade transition has been optimized for systems of varied sizes and different products such as a gas phase polyethylene process, a multistage olefin process, and a plantwide process including downstream processes (McAuley and MacGregor, 1992;Takeda and Ray, 1999;Yi et al, 2003). These studies considered only the case of continuous transition mode.…”

Section: Introductionmentioning

confidence: 99%