Large-scale dynamic optimization for grade transitions in a low density polyethylene plant

Cervantes, Arturo; Tonelli, S.; Brandolin, Adriana; Bandoni, J. Alberto; Biegler, Lorenz T.

doi:10.1016/s0098-1354(01)00743-8

Cited by 55 publications

(40 citation statements)

References 8 publications

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“…As well as bi-level optimization, dynamic multiobjective optimization has been widely applied in chemical engineering. For example, Cervantes et al (2002) have considered optimal control strategies of an industrial low-density polyethylene plant, and Barakat et al (2008) have presented dynamic multiobjective optimization as applied in batch separation processes.…”

Section: Introductionmentioning

confidence: 99%

Bi-level optimization for a dynamic multiobjective problem

Linnala¹,

Madetoja²,

Ruotsalainen³

et al. 2012

Engineering Optimization

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Section: Introductionmentioning

confidence: 99%

Bi-level optimization for a dynamic multiobjective problem

Linnala¹,

Madetoja²,

Ruotsalainen³

et al. 2012

Engineering Optimization

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“…However, more recently, it is possible to use dynamic optimization methods within the framework of nonlinear model predictive control (NMPC) based on dynamic models. Although important steps have been made in this direction [4][5][6][7], the large-scale mathematical model arising from the distributed nature of the LDPE plant remains a challenging issue.…”

Section: Introductionmentioning

confidence: 99%

Systematic evaluation of models of different complexity for a low-density polyethylene plant

Disli

Kienle

2012

Mathematical and Computer Modelling of Dynamical Systems

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This study deals with the dynamic modelling and simulation of low-density polyethylene (LDPE) production plant. LDPE is produced in a complex process which takes place under extreme operating conditions and may lead to nonlinear dynamics due to highly exothermic reactions and material recycles around the reactor. In principle, the process is represented by a distributed parameter system with an external coordinate (the reactor length) and various internal coordinates (the chain length of the polymer molecules, short-and long-chain branching and the number of double bounds) resulting in a large scale model. In this contribution a detailed reference model is introduced and possible model simplifications are discussed systematically from on-line optimization and control point of view.

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“…This ideal condition, however, does not always exist. There are a number of efforts in the literature to deal with this issue [1][2][3][4][5][6][7][8][9][10][11]. However, all these efforts have dealt only with melt index (or alternatively the molecular weight) and density of polymers and not the molecular weight distribution of the formed polymer.…”

Section: Introductionmentioning

confidence: 99%