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Sensitivity analysis of the propane dehydrogenation in an industrial moving bed reactor / Goh Aik Leng

By:

Goh, Aik Leng [author.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

THE0008035(Local)

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Dissertation note: Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2015 Abstract: Catalytic dehydrogenation of propane is a common method used to produce propylene. Propane dehydrogenation is equilibrium limited and highly endothermic. In view of its reaction characteristics, the optimum operating condition to maximize the propylene yield represents a compromise among the critical operating parameters. An accurate model and simulation tool is crucial to identify the optimum operating condition of a commercial plant. To date, studies about the modelling and simulation of propane dehydrogenation in an industrial radial moving bed reactor is scarcely reported. In this present work, a model based on propane dehydrogenation catalyzed by Pt-based catalyst in a radial moving bed reactor was validated using the plant data. The reaction kinetics expressed in simple power-law model was incorporated to the model. The RMBR model was solved numerically by discretizing the reactor bed into axial and radial directions. Sensitivity analysis was then performed by varying the reactor inlet temperature (RIT), H2/HC molar ratio and catalyst circulation rate (Us). The model has accurately predicted the components compositions, reaction temperature, conversion, selectivity, yield and coke contents. It was found that H2/HC molar ratio has the most profound effect on propylene yield. The best operating condition to maximize the yield was at RIT1 of 627℃, RIT2 of 646℃, RIT3 of 647℃ and RIT4 of 638℃, H2/HC molar ratio of 0.47, and catalyst circulation rate (Us) of 600kg/hr. The corresponding propane conversion, propylene selectivity and yield were 35.20%, 83.74%, and 29.48% respectively. The resulted coke content was 4.36%.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	Reference	TP159.C3 G64 2015 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000100614
Final Year Report	UMPLIB GAMBANG	Reference	CD 8964 (Browse shelf(Opens below))	1	Not for loan		0000100615

Faculty of Chemical & Natural Resources Engineering

Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2015

Bibliography : p. 38-41

Catalytic dehydrogenation of propane is a common method used to produce propylene. Propane dehydrogenation is equilibrium limited and highly endothermic. In view of its reaction characteristics, the optimum operating condition to maximize the propylene yield represents a compromise among the critical operating parameters. An accurate model and simulation tool is crucial to identify the optimum operating condition of a commercial plant. To date, studies about the modelling and simulation of propane dehydrogenation in an industrial radial moving bed reactor is scarcely reported. In this present work, a model based on propane dehydrogenation catalyzed by Pt-based catalyst in a radial moving bed reactor was validated using the plant data. The reaction kinetics expressed in simple power-law model was incorporated to the model. The RMBR model was solved numerically by discretizing the reactor bed into axial and radial directions. Sensitivity analysis was then performed by varying the reactor inlet temperature (RIT), H2/HC molar ratio and catalyst circulation rate (Us). The model has accurately predicted the components compositions, reaction temperature, conversion, selectivity, yield and coke contents. It was found that H2/HC molar ratio has the most profound effect on propylene yield. The best operating condition to maximize the yield was at RIT1 of 627℃, RIT2 of 646℃, RIT3 of 647℃ and RIT4 of 638℃, H2/HC molar ratio of 0.47, and catalyst circulation rate (Us) of 600kg/hr. The corresponding propane conversion, propylene selectivity and yield were 35.20%, 83.74%, and 29.48% respectively. The resulted coke content was 4.36%.