Effect of hydrogen partial pressure on catalytic reforming process of naphtha

Yusuf, Aminu Zakari; John, Yakubu Mandafiya; Aderemi, B.O.; Patel, Raj; Mujtaba, Iqbal M.

doi:10.1016/j.compchemeng.2020.107090

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…50 On the other hand, operating at high hydrogen partial pressures has been found to result in the reduction of aromatic production and a decline in the RON of the nal product. 3 Therefore, to overcome such limitations, the motivation of this study is to investigate new catalysts for heavy naphtha utilization and reforming that enable operating at lower reactor temperatures, 51 without the utilization of noble metals, no hydrogen pressure, 51 and lower than conventional reforming (450 and 480 C), in an effort to reduce the carbon footprint of the process. Specically, this study aims to improve the catalytic performance of MFI zeolite for the catalytic reforming of heavy naphtha to gasoline at atmospheric pressure and a low reaction temperature of 350 C. The zeolite was impregnated with phosphorus oxide and subjected to steam treatment to enhance its performance in terms of conversion stability and deactivation behavior during the reaction through the modication of its acidity.…”

Section: Introductionmentioning

confidence: 99%

“…The process is essential for all reneries as it leads to obtaining gasoline products with high octane numbers ranging from 70 to higher than 100 under hydrogen pressure (5-45 atm). 3,4 In reforming units, depending on reaction conditions, catalysts such as Pt-Re-A1 2 O 3 , Pt-Sn-A1 2 O 3 , 4 and Pt-Cl-A1 2 O 3 (ref. 5) are used to enhance the overall aromatic yield to around 70 wt%, with a focus on improving the yields of benzene, toluene, and xylene (BTX) in the product.…”

Section: Introductionmentioning

confidence: 99%

“…42,43,47,48 Multiple operational variables inuence the performance of the catalytic naphtha reforming process, including temperature, pressure, feed rate, and hydrogen partial pressure. 3 Decreasing the energy requirements and operating at low pressures is one of the major factors in improving the performance of continuous catalytic reforming (CCR). 49 Fired heaters require substantial amounts of fuel to run the naphtha reforming process.…”

Section: Introductionmentioning

confidence: 99%

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Catalytic conversion of heavy naphtha to reformate over the phosphorus-ZSM-5 catalyst at a lower reforming temperature

et al. 2022

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Catalytic conversion of heavy naphtha to reformate over the phosphorus-ZSM-5 catalyst at a lower reforming temperature

et al. 2022

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“…The optimum temperature and feed flow rate and the number of tubes in three reactors were selected to be 776.94 K, 2086.2 kmol h −1 , and 395, respectively. [13] Yusuf et al (2020) estimated the plant performance, temperature, and concentration profiles of the paraffins, naphthenes, and aromatics of semicatalyst regenerative commercial naphtha catalytic reforming using gPROMS software [14].…”

Section: Introductionmentioning

confidence: 99%

Comparison between Artificial Neural Network and Rigorous Mathematical Model in Simulation of Industrial Heavy Naphtha Reforming Process

Al-Shathr

Shakor

Majdi³

et al. 2021

Catalysts

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In this study, an artificial neural network (ANN) model was developed and compared with a rigorous mathematical model (RMM) to estimate the performance of an industrial heavy naphtha reforming process. The ANN model, represented by a multilayer feed forward neural network (MFFNN), had (36-10-10-10-34) topology, while the RMM involved solving 34 ordinary differential equations (ODEs) (32 mass balance, 1 heat balance and 1 momentum balance) to predict compositions, temperature, and pressure distributions within the reforming process. All computations and predictions were performed using MATLAB® software version 2015a. The ANN topology had minimum MSE when the number of hidden layers, number of neurons in the hidden layer, and the number of training epochs were 3, 10, and 100,000, respectively. Extensive error analysis between the experimental data and the predicted values were conducted using the following error functions: coefficient of determination (R2), mean absolute error (MAE), mean relative error (MRE), and mean square error (MSE). The results revealed that the ANN (R2 = 0.9403, MAE = 0.0062) simulated the industrial heavy naphtha reforming process slightly better than the rigorous mathematical model (R2 = 0.9318, MAE = 0.007). Moreover, the computational time was obviously reduced from 120 s for the RMM to 18.3 s for the ANN. However, one disadvantage of the ANN model is that it cannot be used to predict the process performance in the internal points of reactors, while the RMM predicted the internal temperatures, pressures and weight fractions very well.

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“…Figura 6. Diagrama del proceso SR de Reformación de Naftas(Yusuf, John, Aderemi, Patel, & Mujtaba, 2020) …”

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Nuevos Retos Operativos para la Industria de Refinación en México

Velázquez-Alonso

Otazo-Sánchez

Hernández‐Juárez

et al. 2021

ICBI

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Se estima que las emisiones anuales de gases tóxicos correspondientes al sector energético, incluyendo la industria de la refinación del petróleo son del 33%, por tal motivo, es importante implementar estrategias que mitiguen la emisión de Gases de Efecto Invernadero y al mismo tiempo se cumpla con la demanda energética. Normatividades aplicadas como la NOM-016-CRE-2016, para la calidad de combustibles petrolíferos han obligado al sector a considerar alternativas tecnológicas para mejorar la calidad de sus productos. Procesos como la hidrodesulfuración y la reformación de naftas permiten la eliminación de compuestos azufrados y un aumento en el octanaje de los combustibles mejorando su calidad. Son muchos los retos a los que se enfrenta la industria de la refinación, siendo la operación hacia la sustentabilidad uno de los principales porque se relaciona con la implementación de estrategias y metodologías de simbiosis industrial que permitan identificar interacciones entre procesos e industrias para un mejor aprovechamiento de recursos brindando beneficios mutuos.

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Effect of hydrogen partial pressure on catalytic reforming process of naphtha

Cited by 10 publications

References 13 publications

Catalytic conversion of heavy naphtha to reformate over the phosphorus-ZSM-5 catalyst at a lower reforming temperature

Catalytic conversion of heavy naphtha to reformate over the phosphorus-ZSM-5 catalyst at a lower reforming temperature

Comparison between Artificial Neural Network and Rigorous Mathematical Model in Simulation of Industrial Heavy Naphtha Reforming Process

Nuevos Retos Operativos para la Industria de Refinación en México

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