Dynamic non-isothermal trickle bed reactor with both internal diffusion and heat conduction: Sugar hydrogenation as a case study

Russo, Vincenzo; Kilpiö, Teuvo; Serio, Martino Di; Tesser, Riccardo; Santacesaria, E.; Murzin, Dmitry Yu.; Salmi, Tapio

doi:10.1016/j.cherd.2015.06.011

Cited by 23 publications

(23 citation statements)

References 24 publications

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“…In contrast to the widely applied hydrogenation of glucose, kinetic data for the hydrogenation of arabinose and galactose is scarce . Some studies on the continuous hydrogenation of arabinose in a bench‐scale trickle‐bed reactor have also been performed, together with reactor modeling , . Assuming that sugar alcohols may act as platform chemicals and are synthesized from side streams of other industries, continuously operated reactor concepts are preferred because they offer high volumetric yields and a high level of automation.…”

Section: Introductionmentioning

confidence: 99%

Continuous Hydrogenation of L‐Arabinose and D‐Galactose in a Mini Packed‐Bed Reactor

et al. 2017

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Dedicated to Professor Rüdiger Lange on the occasion of his 65th birthdayThe continuous hydrogenation of a mixture of L-arabinose and D-galactose over a Ru/C catalyst was investigated in a miniaturized packed-bed reactor. The reaction is one important step of the transformation of the naturally occurring hemicellulose arabinogalactan into valuable sugar alcohols. Process intensification was accomplished by reducing the reactor dimensions to a few millimeters; thus leading to better mass and heat transfer performance. The effects of temperature, pressure, and liquid flow rate on the yield and by-product formation are discussed. Based on a kinetic model derived from batch experiments, a model of the continuous reactor was developed and used for scale-up purposes.

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Section: Introductionmentioning

confidence: 99%

Continuous Hydrogenation of L‐Arabinose and D‐Galactose in a Mini Packed‐Bed Reactor

et al. 2017

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“…The model was implemented in gPROMS Model Builder v.4.0 software, discretizing the axial coordinates with the implemented method of lines, by using the backward finite difference method with 100 discretization elements …”

Section: Resultsmentioning

confidence: 99%

“…The model was implemented in gPROMS Model Builder v.4.0 software, 33 discretizing the axial coordinates with the implemented method of lines, by using the backward finite difference method with 100 discretization elements. 34,35 In Fig. 7, the results can be seen for the three different flow rates as a function of the inulin conversion and dimensionless length when the Coeuret correlation is applied.…”

Section: Reactor Modellingmentioning

confidence: 99%

High purity fructose from inulin with heterogeneous catalysis – from batch to continuous operation

Nebreda

Russo

Serio

et al. 2018

J of Chemical Tech & Biotech

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BACKGROUND Inulin is a valuable source of high purity fructose. The conversion of inulin to fructose utilizing an advanced sulfonic ion‐exchange resin was previously investigated in detail in a batch reactor study, where a detailed mechanistic model for the reaction kinetics was demonstrated (J Chem Technol Biotechnol 2018;93:224–232). The same catalyst was employed in tailor‐made continuous fixed‐bed reactors in the current work in order to study the feasibility of continuous operation. RESULTS Two types of reactors were utilized: a single‐bed reactor and a multibed reactor with sample withdrawal between catalyst beds. The results from the single‐bed reactor allowed optimal reaction conditions to be determined which were extrapolated and used for experiments in the multiple‐bed reactor. High yields of fructose (75%) were obtained with the multiple‐bed reactor without any degradation products. Detailed flow characterization was performed on the reactor system and residence time distribution results were merged with the detailed model for the chemical kinetics obtained from batch reactor studies taking into account mass transfer limitations, in order to obtain a rigorous model for the performance of the continuous reactor. The fit of the mathematical model to the experimental data was very good and this provides a useful tool for further development and scale‐up purposes. CONCLUSIONS The results of the two related studies highlight the potential of new reactor design strategies towards the realization of more efficient, sustainable and green processes, which can easily be scaled‐up and implemented in bio‐based industry. © 2018 Society of Chemical Industry

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“…Numerical models can be excellent tools for investigating the complex mechanisms of multiphase reactors. Two types of models can be distinguished: complex multidimensional models, which are needed to derive a detailed process understanding, as often applied in academic studies (e.g., Russo et al or Güttel and Turek ), and simple models, which are easy to handle and solve. These models are more suitable for process evaluation and design in industrial applications.…”

Section: Modelingmentioning

confidence: 99%

Development of a Robust Fixed‐Bed Reactor Model for Supercritical Citral Hydrogenation

Häring¹,

Wilhelm²,

Horn

et al. 2017

Chem Eng & Technol

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The hydrogenation of citral in a fixed‐bed reactor by using supercritical carbon dioxide was studied. A numerical model was set up by using the commercial software Aspen Custom Modeler®. By applying literature experimental data, a parameter estimation for the kinetic parameters was carried out. A good fit was reached with the presented model. Furthermore, a sensitivity analysis was performed. The influence of process pressure, inlet CO2 and H2 concentration, and catalyst particle size on conversion, reactor length, space time yield, yield of the intermediate product 3,7‐dimethyl‐2‐octenal, and pressure drop was investigated.

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Dynamic non-isothermal trickle bed reactor with both internal diffusion and heat conduction: Sugar hydrogenation as a case study

Cited by 23 publications

References 24 publications

Continuous Hydrogenation of L‐Arabinose and D‐Galactose in a Mini Packed‐Bed Reactor

Continuous Hydrogenation of L‐Arabinose and D‐Galactose in a Mini Packed‐Bed Reactor

High purity fructose from inulin with heterogeneous catalysis – from batch to continuous operation

Development of a Robust Fixed‐Bed Reactor Model for Supercritical Citral Hydrogenation

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