Integrating CDU, FCC and product blending models into refinery planning

Li, Wenkai; Hui, Chi‐Wai; An-xue, LI

doi:10.1016/j.compchemeng.2005.05.010

Cited by 100 publications

(101 citation statements)

References 6 publications

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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. The upper and lower bounds for the yields are defined by the union of different operational modes in the distillation tower.…”

Section: Previous Distillation Methods In Planning and Scheduling Modelsmentioning

confidence: 99%

“…[2][3][4] Although more accurate results may be obtained by using rigorous models, their complexity, difficulty in reformulating them as optimization problems, and the intractability of their solution prevent them from being used in practice. 5 Commercial planning software such as GRTMPS (Haverly), Aspen PIMS (Aspen Technology), and RPMS (Honeywell) overcome this problem by using simplified process unitoperation models, which involve mostly linear, bilinear, and trilinear constraints and are solved using home-grown successive or sequential linear programming (SLP) algorithms, sometimes referred to as distributed recursion.…”

Section: Previous Distillation Methods In Planning and Scheduling Modelsmentioning

confidence: 99%

See 1 more Smart Citation

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%

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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“…The yields of each product based on the equidistance assumption are shown in Table 3. The volumetric transfer ratio proposed by Li et al (2005) is used to determine the size of each swing cut. The results are shown in Table 4.…”

Section: Swing Cut + Bias Cdu Modelmentioning

confidence: 99%

“…Zhang et al (2001) assumed a fixed-size swing cut. Li et al (2005) introduced the weight transfer method for adjusting product yields on the basis of different operating modes. Alattas et al (2011) introduced a fractionation index-based CDU model and integrated it into a simple refinery model; this model requires that the fractionation indices be finetuned for different operating modes.…”

Section: Introductionmentioning

confidence: 99%

Impact of crude distillation unit model accuracy on refinery production planning

Fu¹,

Castillo²,

Mahalec³

2018

Front. Eng

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In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wide optimization for production planning or feedstock selection. We compare the swing cut + bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016). The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBP) curves and bulk properties (e.g., sulfur % and cetane index, and other properties). Product TBP curves are predicted with an average error of 0.5% against rigorous simulation curves. Case studies of optimal operation computed using a planning model that is based on the swing cut + bias CDU model and using a planning model that incorporates the hybrid CDU model are presented. Our results show that significant economic benefits can be obtained using accurate CDU models in refinery production planning.

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“…Due to the process complexity and variability in operation, the yield and cost are highly nonlinear with respect to the decision variables (Li et al, 2005). In the majority of existing studies, the yield and cost (and possibly other process measures) are fixed for each predefined operating mode, i.e.…”

Section: Introductionmentioning

confidence: 99%