Kinetic modeling of methanol to olefins process over SAPO‐34 catalyst based on the dual‐cycle reaction mechanism

Yuan, Xiaoshuai; Li, Hua; Ye, Mao; Liu, Zhongmin

doi:10.1002/aic.16439

Cited by 30 publications

(31 citation statements)

References 53 publications

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“…The PDF of the reactor is highly related to the coke deposition rate R 1 ( c c ). Based on the kinetics recently proposed by Yuan et al, the coke deposition rate could be expressed as

R_{1} ((), c_{normalc}) = k_{d} s ((), c_{normalc})

where

s ((), c_{normalc}) = c_{c}^{\max} - c_{c}

k_{d} = k_{8} {\overset{false^}{ρ}}_{MeOH}^{0.3} + k_{9} {\overset{false^}{ρ}}_{C_{2} H_{4}}^{0.3} + k_{10} {\overset{false^}{ρ}}_{C_{3} H_{6}}^{0.3} + k_{11} {\overset{false^}{ρ}}_{C_{4} H_{8}}^{0.3} + k_{12} {\overset{false^}{ρ}}_{{normalC}_{5 +}}^{0.3}

…”

Section: Application To Mto Processmentioning

confidence: 99%

“…Here

c_{c}^{\max}

(in dimensionless ) is the maximum coke content of the catalyst particle. k d (in

\frac{1}{s}

) is the deposition rate constant, which is related to the densities of methanol and olefins,

{\overset{false^}{ρ}}_{i}

(in

\frac{kg}{{normalm}^{3}}

) is the density of species i which is calculated based on the voidage volume …”

Section: Application To Mto Processmentioning

confidence: 99%

“…In mathematics, only when r ( c c ) is a linear function of c c , the value of ∫ p ( c c ) r ( c c ) dc c equals

r ((), \overset{false¯}{c_{c}})

. However, in real commercial processes, including FCC and MTO, the relation between r ( c c ) and c c is highly nonlinear. Hence, the coke distribution becomes important for correctly describing the reaction behavior of a population of catalyst particles in fluidized bed reactor–regenerator system.…”

Section: Introductionmentioning

confidence: 99%

“…In August 2010, a commercial unit (600 kt/a of ethylene and propylene production), based on the MTO technology (DMTO) developed by Dalian Institute of Chemical Physics (DICP), was successfully started up in Shenhua's Baotou coal‐to‐olefins plant in north China . In the open literature, various reactor and kinetic models, as well as computational fluid dynamics (CFD) simulations, have been proposed for the MTO process . Only a few took effect of coke distribution into account using age distribution approach …”

Section: Introductionmentioning

confidence: 99%

“…All simulated results were compared with experimental values. Here, a MTO kinetic model recently developed by our group was applied to derive the kinetic parameters, and the generic fluidized‐bed reactor (GFBR) model, which spans bubbling, turbulent, and fast fluidization regimes, was used to describe the flow state of the fluidized bed.…”

Section: Introductionmentioning

confidence: 99%

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Study of Catalyst Coke Distribution Based on Population Balance Theory: Application to Methanol to Olefins Process

Yuan

Gao

et al. 2019

AIChE Journal

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A coke distribution model of catalyst particles in three‐dimensional space was developed based on population balance theory, and an analytic expression of coke distribution for zero‐dimensional time‐independent problem was deduced. The expression shows that the coke distribution is determined by the average catalyst residence time, coke deposition (or burning) rate, and coke distribution of catalyst inflow. The coke distribution model was further applied to the methanol to olefins (MTO) process. The critical factors influencing coke distribution in MTO process, as well as the effect of coke distribution on product selectivity, were investigated. Three scales of MTO fluidized bed reactor–regenerator systems, i.e., pilot‐scale, demonstration‐scale and commercial‐scale with the reactor diameter of 0.261, 1.25, and 10.5 m, respectively, were simulated. The simulated results were in good agreement with the operation data. The model could be helpful in the operation optimization and reactor design. © 2018 American Institute of Chemical Engineers AIChE J, 65: 1149–1161, 2019

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“…The PDF of the reactor is highly related to the coke deposition rate R 1 ( c c ). Based on the kinetics recently proposed by Yuan et al, the coke deposition rate could be expressed as