Modelling of catalytic naphtha reformers

Bommannan, D.; Srivastava, R. D.; Saraf, Deoki N.

doi:10.1002/cjce.5450670309

Cited by 41 publications

(18 citation statements)

References 7 publications

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“…where the activation energy E is dependent on the catalyst and k 0f is dependent of the molarity of the reaction (Bommannan et al, 1989). R is the universal gas constant.…”

Section: Scaling Of the Variables And Modelmentioning

confidence: 99%

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Data reconciliation and optimal operation of a Catalytic naphtha reformer

Lid¹,

Skogestad²

2008

MIC

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The naphtha reforming process converts low-octane gasoline blending components to high-octane components for use in high-performance gasoline fuels. The reformer also has an important function as the producer of hydrogen to the refinery hydrotreaters. A process model based on a unit model structure, is used for estimation of the process condition using data reconciliation. Measurements are classified as redundant or non redundant and the model variables are classified as observable, barely observable or unobservable. The computed uncertainty of the measured and unmeasured variables shows that even if a variable is observable it may have a very large uncertainty and may thereby be practically unobservable. The process condition at 21 data points, sampled from two years of operation, was reconciled and used to optimize the process operation. There are large seasonal variations in the reformer product price and two operational cases are studied. In case 1, the product price is high and throughput is maximized with respect to process and product quality constraints. In case 2, the product price is low and the throughput is minimized with respect to a low constraint on the hydrogen production. Based on the characteristics of the optimal operation, a "self optimizing" control structure is suggested for each of the two operational cases.

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“…where the activation energy E is dependent on the catalyst and k 0f is dependent of the molarity of the reaction (Bommannan et al, 1989). R is the universal gas constant.…”

Section: Scaling Of the Variables And Modelmentioning

confidence: 99%

“…The same model was used in Bommannan et al (1989), where reaction parameters were estimated from two sets of plant data, and in Lee et al (1997) where a process with continuous catalyst regen-eration was modeled. In all three cases above, good agreement with plant data was reported.…”

Section: Introductionmentioning

confidence: 99%

Data reconciliation and optimal operation of a Catalytic naphtha reformer

Lid¹,

Skogestad²

2008

MIC

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“…е k into a number of components (physical and chemical), their divided study, followed by a synthesis of the general mathematical model from the mathematical models of separate parts of a complex process [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction of the Catalyst PR-81 at the Production Unit Using Mathematical Modeling Method

Yakupova¹,

Chernjakova²,

Ivanchina³

et al. 2015

Procedia Engineering

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The performance analysis of the reforming catalyst PR-9 and its replacement prediction on the catalyst PR-81for production reforming unit L-35-11/450K have been carried out using a mathematical model. The effect of feedstock composition on product yield has been studied. It is shown that the feedstock composition decisively influences the yield and octane number. The model study have shown that the replacement for the PR-81 catalyst will increase the yield of 2.5-3.5% wt.

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“…Petroleum fraction in the range of 85-180°С is being used as raw material. This complex mixture consists of hydrocarbon molecules with 5-12 carbon atoms, mainly including paraffins, olefins, naphthenes, and aromatics [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%