A planning model for refinery diesel production

Moro, Lincoln Fernando Lautenschlager; Zanin, Antônio C.; Pinto, José M.

doi:10.1016/s0098-1354(98)00209-9

Cited by 104 publications

(76 citation statements)

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“…6 Moro et al, 7 Pinto et al 8 highlighted the conventional swing-cut model considering the existence of fractions with the same qualities swinging between adjacent cuts using a volume ratio on crude-oil feed. Li et al 5 proposed improvements in the swing-cut model based on weighted-average cumulative yield variations of the crude-oil assay considering "weight transfer ratios" of each product-cut.…”

Section: Previous Distillation Methods In Planning and Scheduling Modelsmentioning

confidence: 99%

Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units

Menezes

Kelly²,

Grossmann

2013

Ind. Eng. Chem. Res.

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Nonlinear planning and scheduling models for crude-oil atmospheric and vacuum distillation units are essential to manage increased complexities and narrow margins present in the petroleum industry. Traditionally, conventional swing-cut modeling is based on fixed yields with fixed properties for the hypothetical cuts that swing between adjacent light and heavy distillates, which can subsequently lead to inaccuracies in the predictions of both its quantity and quality. A new extension is proposed to better predict quantities and qualities for the distilled products by taking into consideration that we require corresponding light and heavy swing-cuts with appropriately varying qualities. By computing interpolated qualities relative to its light and 2 heavy swing-cut quantities, we can show an improvement in the accuracy of the blended or pooled quality predictions. Additional nonlinear variables and constraints are necessary in the model, but it is shown that these are relatively easy to deal with in the nonlinear optimization.

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Section: Previous Distillation Methods In Planning and Scheduling Modelsmentioning

confidence: 99%

Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units

Menezes

Kelly²,

Grossmann

2013

Ind. Eng. Chem. Res.

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“…However, refinery planning is one of the few areas where nonlinear models have been used. Moro et al [234] presented an NLP planning models for refinery diesel production, extending it later to petroleum refineries [235]. Zhang at al.…”

Section: Planning and Schedulingmentioning

confidence: 99%

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Trespalacios

Grossmann

2014

Chemie Ingenieur Technik

151

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This work presents a review of the applications of mixed-integer nonlinear programming (MINLP) in process systems engineering (PSE). A review on the main deterministic MINLP solution methods is presented, including an overview of the main MINLP solvers. Generalized disjunctive programming (GDP) is an alternative higher-level representation of MINLP problems. This work reviews some methods for solving GDP models, and techniques for improving MINLP methods through GDP. The paper also provides a high-level review of the applications of MINLP in PSE, particularly in process synthesis, planning and scheduling, process control and molecular computing.

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“…It remains that, owing to the complexity of the FCC dynamics, the multivariable characteristics and the presence of constraints, MPC is often considered as the reference control method. On-line optimization with large economic benefits is also reported by [30,31,32]. In this work, multivariable control of an FCC process by several MPC strategies using two manipulated inputs and two controlled outputs is addressed.…”

Section: Introductionmentioning

confidence: 99%

Comparison of model predictive control strategies for a fluidized catalytic cracker

Boum

Corriou

Latifi

2017

IJET

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A FCC model is used to compare five different Model Predictive Control (MPC) strategies. The FCC process is a complex petrochemical unit with catalyst recycling that makes its behaviour highly nonlinear. The FCC comprises a riser, a separator and a regenerator with important heat coupling due to the endothermic cracking reactions of gas oil in the riser and the exothermic combustion reactions in the regenerator. The riser and the regenerator exhibit fast and slow dynamics respectively. The temperatures at riser top and in the regenerator should be controlled by manipulation of catalyst and air flow rates. All these nonlinear and coupled characteristics render the multivariable control problem difficult and thus the FCC process constitutes a valuable benchmark for comparing control strategies. Here, the performances of Dynamic Matrix Control, Quadratic Dynamic Matrix Control, MPC control with penalty on the outputs, NonLinear MPC control, Observer Based MPC control are compared.

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A planning model for refinery diesel production

Cited by 104 publications

References 0 publications

Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units

Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units

Review of Mixed‐Integer Nonlinear and Generalized Disjunctive Programming Methods

Comparison of model predictive control strategies for a fluidized catalytic cracker

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