A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor

Yaoyan Xi, Johnathan E. Holladay, John G. Frye, Aaron A. Oberg, James E. Jackson, Dennis J. Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Citations

Abstract

Glycerol hydrogenolysis to propylene glycol was carried out in a trickle bed reactor over a broad range of reaction conditions. Outlet glycerol conversion, selectivity to PG, and temperature profiles along the trickle bed were collected experimentally to characterize the system. A detailed model of glycerol hydrogenolysis has been developed that includes a mechanistically based kinetic rate expression, energy transport, mass transport through the liquid phase, and partial wetting of the trickle bed. Optimal kinetic parameters based on all collected data from the trickle bed system were determined via regression analysis. Model predictions agree with experimental data and accurately predict trends in reactor performance with liquid flow rate, temperature, hydrogen pressure, and base promoter concentration. The kinetic rate expression represents truly intrinsic kinetics and is compared with batch reactor data to unify reactions in both environments. The model is thus a useful tool for predicting laboratory reactor performance and for preliminary design of commercial-scale trickle bed systems.

LanguageEnglish (US)
Title of host publicationAIChE Annual Meeting, Conference Proceedings
StatePublished - 2007
Event2007 AIChE Annual Meeting - Salt Lake City, UT, United States
Duration: Nov 4 2007Nov 9 2007

Other

Other2007 AIChE Annual Meeting
CountryUnited States
CitySalt Lake City, UT
Period11/4/0711/9/07

Profile

Glycerol
Hydrogenation
Hydrogenolysis
Mass transfer
Kinetics
Propylene Glycol
Batch reactors
Liquids
Glycols
Kinetic parameters
Regression analysis
Propylene
Wetting
Hydrogen
Flow rate
Temperature

Keywords

  • Glycerol
  • Hydrogenolysis
  • Modeling
  • Propylene glycol
  • Trickle bed reactor

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Cite this

Xi, Y., Holladay, J. E., Frye, J. G., Oberg, A. A., Jackson, J. E., & Miller, D. J. (2007). A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor. In AIChE Annual Meeting, Conference Proceedings

A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor. / Xi, Yaoyan; Holladay, Johnathan E.; Frye, John G.; Oberg, Aaron A.; Jackson, James E.; Miller, Dennis J.

AIChE Annual Meeting, Conference Proceedings. 2007.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xi, Y, Holladay, JE, Frye, JG, Oberg, AA, Jackson, JE & Miller, DJ 2007, A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor. in AIChE Annual Meeting, Conference Proceedings. 2007 AIChE Annual Meeting, Salt Lake City, UT, United States, 11/4/07.
Xi Y, Holladay JE, Frye JG, Oberg AA, Jackson JE, Miller DJ. A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor. In AIChE Annual Meeting, Conference Proceedings. 2007.
Xi, Yaoyan ; Holladay, Johnathan E. ; Frye, John G. ; Oberg, Aaron A. ; Jackson, James E. ; Miller, Dennis J./ A kinetic and mass transfer model for glycerol hydrogenation in a trickle bed reactor. AIChE Annual Meeting, Conference Proceedings. 2007.
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AU - Miller,Dennis J.

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AB - Glycerol hydrogenolysis to propylene glycol was carried out in a trickle bed reactor over a broad range of reaction conditions. Outlet glycerol conversion, selectivity to PG, and temperature profiles along the trickle bed were collected experimentally to characterize the system. A detailed model of glycerol hydrogenolysis has been developed that includes a mechanistically based kinetic rate expression, energy transport, mass transport through the liquid phase, and partial wetting of the trickle bed. Optimal kinetic parameters based on all collected data from the trickle bed system were determined via regression analysis. Model predictions agree with experimental data and accurately predict trends in reactor performance with liquid flow rate, temperature, hydrogen pressure, and base promoter concentration. The kinetic rate expression represents truly intrinsic kinetics and is compared with batch reactor data to unify reactions in both environments. The model is thus a useful tool for predicting laboratory reactor performance and for preliminary design of commercial-scale trickle bed systems.

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