Modeling of fluidized bed reactor of ethylene polymerization

Alizadeh, Mahmood; Mostoufi, Navid; Pourmahdian, Saeed; Sotudeh‐Gharebagh, Rahmat

doi:10.1016/s1385-8947(03)00133-5

Cited by 66 publications

(51 citation statements)

References 13 publications

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“…It has been tried by some researchers to model such nonideality by the tanks-inseries model (e.g., [11,15,16]). However, these models ignore the main aspect of gas-solid fluidization, i.e., coexistence of bubble and emulsion phases in the reactor.…”

Section: Model Implementationmentioning

confidence: 99%

“…Soutudeh-Gharebagh et al [14] simulated the circulating fluidized bed combustor by ASPEN PLUS by combining some standard blocks and user-written kinetic subroutine. Alizadeh et al [15] simulate the polymerization fluidized bed reactor using CSTRs in series. El-Halwagi et al [16] also presented the three-phase model for fluidized bed reactor simulation by PFRs and CSTRs for bubble, cloud and emulsion phases.…”

Section: Introductionmentioning

confidence: 99%

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Modular Simulation of Fluidized Bed Reactors

Jafari

Sotudeh‐Gharebagh

Mostoufi³

2004

Chem Eng & Technol

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Simulation of chemical processes involving nonideal reactors is essential for process design, optimization, control and scale-up. Various industrial process simulation programs are available for chemical process simulation. Most of these programs are being developed based on the sequential modular approach. They contain only standard ideal reactors but provide no module for nonideal reactors, e.g., fluidized bed reactors. In this study, a new model is developed for the simulation of fluidized bed reactors by sequential modular approach. In the proposed model the bed is divided into several serial sections and the flow of the gas is considered as plug flow through the bubbles and perfectly mixed through the emulsion phase. In order to simulate the performance of these reactors, the hydrodynamic and reaction submodels should be integrated together in the medium and facilities provided by industrial simulators to obtain a simulation model. The performance of the proposed simulation model is tested against the experimental data reported in the literature for various gas-solid systems and a wide range of superficial gas velocities. It is shown that this model provides acceptable results in predicting the performance of the fluidized bed reactors. The results of this study can easily be used by industrial simulators to enhance their abilities to simulate the fluidized bed reactor properly.

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Section: Model Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modular Simulation of Fluidized Bed Reactors

Jafari

Sotudeh‐Gharebagh

Mostoufi³

2004

Chem Eng & Technol

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“…The number of emulsion cells was fixed at three. 6 In most cases, it was reasonable to approximate the bubble phase to be in plug flow. We observed that increasing the bubble cells beyond nine did not have any significant effect on the output.…”

Section: Resultsmentioning

confidence: 99%

“…This degree of mixing can be adequately captured with three mixing cells. 6 Typically, the minimum fluidization velocities for PP particles (average particle size $ 700-800 mm) are in the range 0.08-0.1 m/s, and the reactors are usually operated at superficial gas velocities of 4-8U mf . For these ranges, the bubble rise velocities (…”

Section: Droplet Vaporizationmentioning

confidence: 99%

“…The models developed so far have focused on either of the two major aspects of fluidized bed PP reactors, namely, product properties and reactor performance or particle size distribution (PSD). For the prediction of product properties and reactor performance, steady state 3,4 and dynamic 5,6 models have been proposed. Recently, we 7 presented a model that simultaneously predicts both polymer properties and PSD.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of a fluidized bed propylene polymerization reactor operated in condensed mode

Utikar

Harshe

Mehra

et al. 2008

J of Applied Polymer Sci

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The gas-phase polymerization of propylene is one of the most widely accepted and commercially used processes for the manufacture of polypropylene (PP). Because of the highly exothermic nature of polymerization reactions, temperature runaway and subsequent polymer melting and agglomeration may occur, and the reactor has to be operated in a small operating window for safety. The addition of liquid monomer for heat removal (condensed mode) broadens the operating window and can substantially increase (by 50-100%) the capacity of given reactor hardware. This article describes the extension of a comprehensive mathematical model for the simulation of fluidized bed PP reactors to include the condensed mode of operations. The model is used to determine the influence of the operating parameters on the polymer properties and particle size distribution. The model is also used to determine the effects of two active sites and the reaction kinetics on macroscopic variables. The developed framework is useful for simulating multimonomer, multisite Ziegler-Natta-type olefin fluidized bed polymerization reactors operated under condensed mode.

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Developing a mathematical model for the oxidative dehydrogenation of propane in a fluidized bed reactor

Torabi

Kazemeini

Fattahi

2016

Asia-Pacific J Chem Eng

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In this research, a mathematical model to simulate a two-phase fluidized bed reactor for oxidative dehydrogenation of propane to propylene was developed. The developed model was solved numerically using the MATLAB software. Moreover, effects of the reaction temperature, operating pressure, feed composition, particle's size and gas superficial velocity on the reactant conversion, product selectivity and desired product's yield were understudied. The model was validated using previously published experimental data for simulation of the case at the exit of the circulating fluidized bed reactor. The results revealed that, as the temperature raised from 783 to 823 K, the propane conversion enhanced from 4.47% to 13.01%, while the propylene selectivity lowered from 85.35% to 68.03%. In addition, it was shown that doubling of the propane concentration increased the propane conversion from 4.47% to 4.73%. On one hand, doubling of the oxygen concentration enhanced the propane conversion from 4.41% to 4.47%, while on the other, tripling of the pressure led to increasing of the propane conversion from 4.47% to 5.54%. Nonetheless, this pressure enhancement lowered the propylene selectivity from 85.35% to 77.90%. Moreover, changing of the particle's type from Geldart A to B resulted in decreasing of the propane conversion from 4.56% to 1.40% and increasing of the propylene selectivity from 84.83% to 89.69%. The model further revealed that effect of the superficial velocity was not very significant. Ultimately, to predict the maximum propylene selectivity, different kinetic expressions were understudied.

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Modeling of fluidized bed reactor of ethylene polymerization

Cited by 66 publications

References 13 publications

Modular Simulation of Fluidized Bed Reactors

Modular Simulation of Fluidized Bed Reactors

Modeling of a fluidized bed propylene polymerization reactor operated in condensed mode

Developing a mathematical model for the oxidative dehydrogenation of propane in a fluidized bed reactor

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