Dynamic modeling of adiabatic reactor for hydrocracking of VGO by using of the continuous lumping approach

Elizalde, Ignacio; Mederos, Fabián S.; Mena‐Cervantes, Violeta Y.; Hernández‐Altamirano, Raúl; Muñoz, José A.D.

doi:10.1016/j.fuproc.2016.07.005

Cited by 8 publications

(10 citation statements)

References 15 publications

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“…In this chapter, a dynamic, non-isothermal model of a hydrocracker reactor is developed using the continuous kinetic lumping method in the Matlab simulation environment. The results compare well with the published literature [7]. The model can be used to predict spatial and temporal variation in the product compositions and temperatures and is therefore very useful for developing advanced control strategies.…”

Section: Resultssupporting

confidence: 80%

“…Elizalde et al [7] have applied the continuous kinetic lumping approach to design a hydrocracking reactor capable of predicting both the mass fraction and the temperature of the products. The authors found that the constant heat capacity assumption for the whole mixture is reasonable since it only results in a small difference in the temperature at the middle of the reactor if the heat capacity is considered to be different for each lump.…”

Section: Hydrocracker Reactor Modelingmentioning

confidence: 99%

“…The following assumptions are made when modeling the hydrocracker reactor using the continuous kinetic lumping model [7]  Reactivity of species is related to its boiling temperature so that the reactivity increases with TBP and vice versa (feedstock considered to be long carbon chains).…”

Section: Continuous Kinetic Lumping Modelmentioning

confidence: 99%

“…Elizalde et al [7] suggested that the heat capacity can be kept constant since a varying heat capacity may not affect the temperature much. While this was found to be the case at lower temperatures such as in Figure 2.4, varying the heat capacity results in higher differences as opposed to when the heat capacity is kept constant as shown in Figure 2.5.…”

Section: Mass Balancementioning

confidence: 99%

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Dynamic Modeling and Advanced Control of a Refinery Hydrocracker Process

Ayafor¹

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Dynamic Modeling and Advanced Control of a Refinery Hydrocracker Process Christian Ayafor Development of a dynamic non-isothermal hydrocracker model that can estimate temperatures and concentration profile along the reactor is undertaken in this work. With reaction kinetics being critical to modeling and simulation of a hydrocracking reactor, the complex chemistry of hydrocarbons is represented by a continuous lumping approach. The true boiling points of the mixture are used as characterization parameters. A parameter estimation framework is developed for estimating the key kinetic parameters for the continuous kinetic lumping approach. Experimental data for Maya crude oil obtained before and after cracking through a bench-scale hydrocracking reactor are used to obtain parameters for the continuous kinetic lumping technique. The model is used to study the impact of a number of key variables. Finally a model-based controller is developed for controlling the weight fractions of gasoline, and/or kerosene, and/or diesel in the final product. A linear model is identified and used in the model-based control. Both single input single output (SISO) and multiple input multiple output (MIMO) controllers are developed. Servo control and disturbance rejection characteristics of the controllers are studied.

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Section: Resultssupporting

confidence: 80%

Section: Hydrocracker Reactor Modelingmentioning

confidence: 99%

Section: Continuous Kinetic Lumping Modelmentioning

confidence: 99%

Section: Mass Balancementioning

confidence: 99%

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Dynamic Modeling and Advanced Control of a Refinery Hydrocracker Process

Ayafor¹

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“…Depending on the mixture characteristic function form; there are two approaches for lumping models, which are continuous and discrete approaches (Canan and Arkun, 2012). In the literature, different lumping models have been reported in order to analyze the kinetics of hydrocracking reactions (Govindhakannan and Riggs, 2007;Khorasheh and Zainali, 2001;Adam et al, 2012;Stangeland, 1974;Chou and Ho, 1988;Stangeland and Kittrell, 1972;Becker et al, 2015;Elizalde et al, 2016). Becker et al (2016) compared a continuous lumping model with a single events microkinetic model.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Kinetic Lumping Model Parameters to Improve Products Quality in the Hydrocracking Process

Naderi¹,

Shokri²,

Ahmadpanah³

2018

Braz. J. Chem. Eng.

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In this study a typical continuous lumping model with five parameters has been used for kinetic modeling of thermal and catalytic hydrocracking. Model parameters have been optimized according to experimental product distributions using a particle swarm optimization (PSO) algorithm. Experimental data from the hydrocracker setup have been employed to validate the proposed model. In this setup hydrogen and vacuum gasoil feed were introduced from the top of a vertical reactor and, after passing through a catalyst bed, the liquid and gas products were separated and analyzed. Temperature of the reactor was adjusted in the range of 440-470ºC for thermal hydrocracking, and 410-430ºC for catalytic hydrocracking. Liquid hourly space velocities (LHSV) were in the range of 0.5-1.5 feed flow rate per catalyst volume in both sets of experiments. Results of optimization showed that the parameters were only temperature dependent. The comparison between model results and experimental data indicates that the model is capable of predicting product yield with maximum errors of 0.986 and 0.041 for RMSE and AARE values, respectively.

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