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Large-scale exploitation of bimodal reaction sequences including degradation : comparison of Jet Loop and trickle bed reactor

Jeroen Poissonnier (UGent) , Joris Thybaut (UGent) and Guy Marin (UGent)
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Abstract
Product yield optimization in bimodal reaction sequences including degradation has been performed considering three-phase reactors such as the jet loop and trickle bed reactors. The considered reaction network comprises two consecutive homogeneous reaction steps toward intermediates which are converted to the corresponding final products by heterogeneously catalyzed reactions, while the reactant and these intermediates are susceptible to irreversible degradation. In the jet loop reactor, the so-called “homogeneous product” is the main product; hence, the remaining challenge is the reduction of degradation. For the trickle bed reactor, gas−liquid mass phase transfer plays a very pronounced role in its ultimate performance. Higher gas flow rates may be employed in the trickle bed reactor to overcome potential mass-transfer limitations and selectively form the “heterogeneous product”. Lower gas flow rates result in a less effective gas dissolution, and product selectivities change toward the homogeneous product, rendering avoiding degradation difficult.
Keywords
LIQUID-PHASE, MASS-TRANSFER, HYDROGENATION, MODEL, PERFORMANCE, AMINATION, METHANE, SYSTEMS, PLANT

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Chicago
Poissonnier, Jeroen, Joris Thybaut, and Guy Marin. 2017. “Large-scale Exploitation of Bimodal Reaction Sequences Including Degradation : Comparison of Jet Loop and Trickle Bed Reactor.” Industrial & Engineering Chemistry Research 56 (48): 14192–14199.
APA
Poissonnier, J., Thybaut, J., & Marin, G. (2017). Large-scale exploitation of bimodal reaction sequences including degradation : comparison of Jet Loop and trickle bed reactor. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 56(48), 14192–14199.
Vancouver
1.
Poissonnier J, Thybaut J, Marin G. Large-scale exploitation of bimodal reaction sequences including degradation : comparison of Jet Loop and trickle bed reactor. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 2017;56(48):14192–9.
MLA
Poissonnier, Jeroen, Joris Thybaut, and Guy Marin. “Large-scale Exploitation of Bimodal Reaction Sequences Including Degradation : Comparison of Jet Loop and Trickle Bed Reactor.” INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 56.48 (2017): 14192–14199. Print.
@article{8540838,
  abstract     = {Product yield optimization in bimodal reaction sequences including degradation has been performed considering three-phase reactors such as the jet loop and trickle bed reactors. The considered reaction network comprises two consecutive homogeneous reaction steps toward intermediates which are converted to the corresponding final products by heterogeneously catalyzed reactions, while the reactant and these intermediates are susceptible to irreversible degradation. In the jet loop reactor, the so-called “homogeneous product” is the main product; hence, the remaining
challenge is the reduction of degradation. For the trickle bed reactor, gas−liquid mass phase transfer plays a very pronounced role in its ultimate performance. Higher gas flow rates may be employed in the trickle bed reactor to overcome potential mass-transfer limitations and selectively form the “heterogeneous product”. Lower gas flow rates result in a less effective gas dissolution, and product selectivities change toward the homogeneous product, rendering avoiding degradation difficult.},
  author       = {Poissonnier, Jeroen and Thybaut, Joris and Marin, Guy},
  issn         = {0888-5885 },
  journal      = {INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH},
  keywords     = {LIQUID-PHASE,MASS-TRANSFER,HYDROGENATION,MODEL,PERFORMANCE,AMINATION,METHANE,SYSTEMS,PLANT},
  language     = {eng},
  number       = {48},
  pages        = {14192--14199},
  title        = {Large-scale exploitation of bimodal reaction sequences including degradation : comparison of Jet Loop and trickle bed reactor},
  url          = {http://dx.doi.org/10.1021/acs.iecr.7b03226},
  volume       = {56},
  year         = {2017},
}

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