Steady‐State Behavior of Slurry and Bulk Propylene Polymerization

Oliveira, André Gadelha de; Candreva, Patrícia M.; Melo, Prı́amo A.; Pinto, José Carlos

doi:10.1081/pre-120021073

Cited by 11 publications

(15 citation statements)

References 6 publications

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“…If one assumes that the maximum allowed polymer concentration is equal to 55%, then the propylene feed flow rates can be increased to reduce the residence times and safely allow for significant increase (about 35%) of the polymer productivity. [13] Other variables are also of practical interest. Simulated MFIs for the polymer produced in the reactor train are presented in Figure 6.…”

Section: Process Simulationmentioning

confidence: 99%

Modeling and Simulation of Liquid Phase Propylene Polymerizations in Industrial Loop Reactors

Lucca¹,

Filho²,

Melo³

et al. 2008

Macromolecular Symposia

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Summary: Liquid phase tubular loop polymerization reactors are widely used in the polyolefin industries because of their capabilities to promote high mixing of reactants in the reaction vessel and to allow for high heat transfer rates with the cooling jacket due to their high aspect ratio. Previous works on this subject focused on the modeling of the polymerization system, but only a few compared their results with real industrial data. A literature review about the propylene production in loop reactors shows that the validation of a distributed model with actual industrial data is yet to be presented. A distributed mathematical model is presented for industrial liquid phase loop polypropylene reactors and validated with actual industrial data for the first time. The model is able to represent the dynamic trajectories of production rates, MFI and XS values during grade transitions within the experimental accuracy. The model indicates that the polymer quality can change significantly along the reactor train and that manipulation of feed flow rates can be successfully used for production of more homogeneous polymer products.

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Section: Process Simulationmentioning

confidence: 99%

Modeling and Simulation of Liquid Phase Propylene Polymerizations in Industrial Loop Reactors

Lucca¹,

Filho²,

Melo³

et al. 2008

Macromolecular Symposia

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“…Steady-state multiplicity and self-sustained oscillatory behaviour have been predicted for gas phase fluidized bed systems (Choi and Ray, 1985;Hyanek et al, 1995;McAuley et al, 1995), gas phase stirred bed systems (Choi and Ray, 1988;Gorbach et al, 2000) and liquid phase slurry tank and loop systems (Zacca and Ray, 1993;Hyanek et al, 1995;Wells et al, 2001;Oliveira et al, 2003). Regarding fluidized bed reactors, dynamic instabilities were predicted both in studies where the flow patterns are described in detail (Choi and Ray, 1985;McAuley et al, 1994;Hyanek et al, 1995) and in studies where phases are assumed to be perfectly mixed (McAuley et al, 1994(McAuley et al, , 1995.…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Oliveira et al (2003) analysed two typical processes to produce polypropylene: the single tank reactor bulk polymerisation process and the slurry polymerisation process in a train of tank reactors. Attention was given to the effect of perturbations upon the polymer properties and to identification of plant bottlenecks.…”

Section: Introductionmentioning

confidence: 99%

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Oscillatory behaviour of an industrial slurry polyethylene reactor

et al. 2010

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Considerable attention has been given to the dynamic behaviour of polymerisation processes. Distinct non-linear phenomena have been predicted (multiple steady states, periodic, and non-periodic oscillations), but experimental confirmation of such responses has been usually confined to free-radical polymerisations systems. Particularly, olefin polymerisation reactors are expected to exhibit complex oscillatory dynamics, but this sort of dynamic behaviour has not been reported experimentally. In this work, real industrial data obtained in a full-scale polyethylene slurry reactor confirm the existence of complex oscillatory behaviour that can lead to process runaway, validating model predictions about the existence of complex dynamics in similar processes.On a porté une attention toute particulière au comportement dynamique des procédés de polymérisation. Des phénomènes distincts non linéaires ontété prédits (régimes permanents multiples, oscillations périodiques et non périodiques), mais la confirmation expérimentale de ces réactionś etait habituellement réservée aux systèmes de polymérisation radicalaire. Les réacteurs de polymérisation des oléfines sont censés avoir des dynamiques oscillatoires complexes, mais ce type de comportement dynamique n'a pasété démontré sur le plan expérimental. Dans la présenté etude, de véritables données industrielles relevées sur un réacteurà combustible en suspension en polyéthylèneà grandeéchelle ont confirmé l'existence d'un comportement oscillatoire complexe qui peut provoquer un emballement du processus. Ces résultats valident les prédictions du modèle relativesà l'existence de dynamiques complexes dans des processus similaires.

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“…Polypropylene resins can be produced with Ziegler‐Natta catalysts by different industrial processes, including low pressure slurry polymerizations, bulk polymerizations at high pressure and gas phase polymerizations 6. In the particular case of bulk polymerizations performed in stirred tank reactors, different aspects of the process dynamics have been investigated in the literature with the help of process models 7–10. In particular, different routes of operational instability were identified through simulation when the catalyst is subject to decay 7.…”

Section: Introductionmentioning

confidence: 99%

Bifurcation Analysis of the Bulk Propylene Polymerization in the LIPP Process

Rosa

Melo

Pinto

2012

Macromolecular Symposia

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A dynamic model is built to describe the bulk propylene polymerization in stirred tank reactors (LIPP process), assuming that catalyst deactivation takes place and that the reactor temperature must be controlled with the help of reflux condensers and external heat exchangers. Simulation results show that the dynamic behavior of the LIPP process can be much more complex than described previously, when catalyst deactivation and the performance of the real temperature controller are taken into consideration. Particularly, it is shown that chaotic behavior can be observed in very wide ranges of operation conditions when the more realistic operation conditions are considered.

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Steady‐State Behavior of Slurry and Bulk Propylene Polymerization

Cited by 11 publications

References 6 publications

Modeling and Simulation of Liquid Phase Propylene Polymerizations in Industrial Loop Reactors

Modeling and Simulation of Liquid Phase Propylene Polymerizations in Industrial Loop Reactors

Oscillatory behaviour of an industrial slurry polyethylene reactor

Bifurcation Analysis of the Bulk Propylene Polymerization in the LIPP Process

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