Dynamic Modeling and Simulation of Catalytic Naphtha Reforming

Arani, H. M.; Shokri, Saeed; Shirvani, Mansour

doi:10.7763/ijcea.2010.v1.28

Cited by 7 publications

(5 citation statements)

References 7 publications

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“…To reduce the complexity of reactions, the high number of components can be aggregated into lower sets or lumps of pseudocomponents such as naphthenic, paraffin, aromatic and light hydrocarbons, and so on following some criteria . For this reason, n -heptane is the hydrocarbon typically used in research works. ,− However, one can see studies involving the use of n -hexane, or the mixture of n -hexane and n -heptane, or iso-octane. , In this work, naphtha was represented by n -heptane.…”

Section: Model Developmentmentioning

confidence: 99%

Analysis and Simulation of Catalytic Steam Prereforming of Hydrocarbons in Adiabatic Tubular Reactors

Oechsler

Lima

Dutra

et al. 2020

Ind. Eng. Chem. Res.

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This work presents a dynamic model describing the catalytic steam prereforming of hydrocarbons (natural gas and naphtha) in adiabatic packed-bed tubular reactors. Pre-reforming is an additional step typically used in hydrogen industrial sites before steam reforming to reduce the catalyst deactivation. The proposed model comprises a set of differential equations, based on the momentum, energy, and mass balances, describing the reactions performed in a fixed catalyst-bed reactor, where hydrocarbons and water are mainly converted into a mixture of hydrogen and carbon oxides. The effect of operating conditions such as the steam/ carbon and hydrogen/hydrocarbon ratios on the conversion, temperature, and composition stationary profiles was analyzed for both natural gas and naphtha catalytic prereforming. Besides, the consistency of temperature and composition axial profiles were analyzed via comparison with the adiabatic temperature and composition computed from thermodynamic equilibrium. Simulated results indicated that the proposed model can accurately describe the steam prereforming process operating with both natural gas and naphtha. The main results showed that proper modeling of the effectiveness factor for natural gas and naphtha prereforming is an important task in the industrial operation of these reactors. Additionally, the simulated results showed that these reactors operate close to thermodynamic equilibrium at the beginning of the campaign, as seen at industrial sites. Besides, only methanation and water−gas-shift reactions seem to be controlled by the diffusive effects.

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Section: Model Developmentmentioning

confidence: 99%

Analysis and Simulation of Catalytic Steam Prereforming of Hydrocarbons in Adiabatic Tubular Reactors

Oechsler

Lima

Dutra

et al. 2020

Ind. Eng. Chem. Res.

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“…A Naphtha catalytic reforming unit (CRU) typically is made up of a preheat system, that is, a long vertical heat exchanger with large surface area to allow for feed preheating prior to further heating in the charge heater usually three or four heaters and reactors in series and a low pressure separator. The hydrogen is flashed and separated in the separator where part of it is recycled to the meet the feed again continuously before it enters the first heater, while the heavier liquid (reformate) is sent to a Processes 2019, 7,192 3 of 26 stabilization column. Reformate is obtained as a bottom product from the stabilization column while the liquefied petroleum gases (LPG) are obtained from the top of the stabilization after condensation in a trim cooler and condenser.…”

Section: Hydrocracking Metallic + Acidic Functionmentioning

confidence: 99%

“…The various reforming reactions are dehydrogenation reactions of the paraffins to naphthenes and dehydrogenation of the naphthenes to aromatics, dehyrocylization of paraffins to naphthenes, isomerization of normal paraffins to iso-paraffins, cracking of paraffins and naphthenes and hydrodealkylation of aromatics. Modelling and simulation of catalytic reforming has Processes 2019, 7,192 2 of 26 been considered by different researchers to determine the plant performance or product distribution behaviour. Hu carried out [4] steady state modelling of semi regenerative catalytic reformer with 17 lumps and monitored the plant performance on stream.…”

Section: Introductionmentioning

confidence: 99%

“…This information helps whenever there is need for plant scale up or process modification. Few works have been carried out on the dynamics of the reaction [7][8][9][10]. The modelling and simulation works carried out by [11,12] (steady state) and [10] (dynamic) use the same reactor configurations, same feed throughput and feed stock properties.…”

Section: Introductionmentioning

confidence: 99%

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Study of Industrial Naphtha Catalytic Reforming Reactions via Modelling and Simulation

et al. 2019

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Steady state and dynamic modelling and simulation of catalytic reforming unit of Kaduna Refining & Petrochemical Company, NNPC (Nigeria) was carried to find out the behaviour of the reactions under both steady and unsteady state conditions. The basic model together with kinetic and thermodynamic parameters and properties were taken from the literature but is developed in gPROMs (an equation oriented modelling software) model building platform for the first time rather than in MATLAB or other modelling platform used by other researchers in the past. The simulation was performed using gPROMs and the predictions were validated against those available in the literature. The validated model was then used to monitor the behaviour of the temperature, concentrations of paraffins, naphthenes and aromatics with respect to both time and height of the reactor of the industrial refinery of Nigeria. Hydrogen yield, Research octane number (RON) and temperature profiles are also reported. The components behave similarly in terms of reactions in the reactors but the time to attain quasi-steady state is different. The results are in good agreement with the industrial plant data.

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“…Arani et al (23) studied dynamic modeling of catalytic naphtha reforming process using MATLAB software in SIMULINK mode. They used Hougen-Watson Langmuir-Hinshelwood type reaction rate expressions to represent rate of each reaction.…”

Section: Optimization Of Catalytic Reformingmentioning

confidence: 99%

Optimization of Al-Doura Catalytic Naphtha Reforming Process Using Genetic Algorithm

M. Shakoor

2013

ETJ

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Optimization of Al-Doura catalytic naphtha reforming process was done using genetic algorithm. The objective of optimization is maximization yield of the aromatics in order to increase the octane number of reformate.One-dimensional steady-state mathematical model was made to study the effect of feedstock composition, feed temperature, total pressure and hydrogen to hydrocarbon feed ratio on the reformate compositions. Detailed kinetic model was developed to describe the reaction kinetic, the model involving 29 components, 1 to 11 carbon atoms for n-paraffins, 5 to 10 carbon atoms for iso-paraffins and 6 to 11 carbon atom for naphthenes and aromatics with 83 reactions. Using Genetic Algorithm, 186 parameters of the proposed kinetic model were predicted depending on plant results collected over two months from Al-Doura reforming process which located in the south of Baghdad. The validity of the kinetic model was approved by comparing the results of developed kinetic model with the actual process results.Genetic algorithm was used again to optimize the commercial reforming process depending on reformate compositions. Optimization was carried out in temperature range between 450 to 520°C; total pressure range 5 to 35 bar; hydrogen to hydrocarbon ratio 3 to 8 and by varying the percentage of catalyst for each one of four reactors. Optimization results shows that, it's possible to increase the aromatics composition in reformate from 63.42 % in actual unit to 70.89 % by changing the design variables and operating conditions.

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Dynamic Modeling and Simulation of Catalytic Naphtha Reforming

Cited by 7 publications

References 7 publications

Analysis and Simulation of Catalytic Steam Prereforming of Hydrocarbons in Adiabatic Tubular Reactors

Analysis and Simulation of Catalytic Steam Prereforming of Hydrocarbons in Adiabatic Tubular Reactors

Study of Industrial Naphtha Catalytic Reforming Reactions via Modelling and Simulation

Optimization of Al-Doura Catalytic Naphtha Reforming Process Using Genetic Algorithm

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