Optimizing detailed schedules of a multiproduct pipeline by a monolithic MILP formulation

Chen, Haihong; Liang, Zuo; Wu, Changchun; Wang, Li; Diao, Feng; Chen, Jie; Huang, Yanfei

doi:10.1016/j.petrol.2017.09.036

Cited by 38 publications

(18 citation statements)

References 34 publications

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“…Good planning and scheduling of crude oil operation is a crucial optimization tool to enhance the performance of a plant to sustain in the current dynamic and competitive era. [9][10][11][12] Such process scheduling operations are formulated mainly using discrete-time and continuous-time representations. [13][14][15][16][17][18] In the case of discrete-time representation, the scheduling time is divided into several time intervals with a known duration and allows events to occur only at the boundaries.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

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Scheduling of crude oil refinery operation with desalting as a separate task

Bayu

Shaik

Ramteke

2020

Asia-Pacific J Chem Eng

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A crude oil refining is a capital intensive process and releases a huge amount of environmentally unfriendly side-products. Scheduling of crude oil that determines the optimal unloading of crude from vessels to storages, transfer to blending tanks, and charging to distillation units (CDUs) in a way that minimizes the total operating cost has become the focus of the studies in the last few decades. In this paper, we present a model that extends the literature work of a unit-specific event-based model to incorporate desalting as a separate task and allows a desalting tank to feed multiple CDUs. The formulation is based on a state task network (STN) that uses a unit-specific event-based time representation. It considers different scenarios like simultaneous or sequential discharging of products and by-products from a desalting tank and whether a desalting tank feeding to multiple CDUs is allowed simultaneously or not. The proposed model leads a step closure to the reality and enables to know the amount of wash water needed, and the sludge disposed off for treatment in addition to the ordinary crude oil scheduling formulation. The performance of the proposed formulation is demonstrated using four case studies.

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Section: Background and Literature Reviewmentioning

confidence: 99%

“…Good planning and scheduling of crude oil operation is a crucial optimization tool to enhance the performance of a plant to sustain in the current dynamic and competitive era 9–12 . Such process scheduling operations are formulated mainly using discrete‐time and continuous‐time representations 13–18 .…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Scheduling of crude oil refinery operation with desalting as a separate task

Bayu

Shaik

Ramteke

2020

Asia-Pacific J Chem Eng

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“…Apart from the above linearization methods, Cafaro, Cafaro [15] developed a novel MINLP model rigorously accounting for nonlinear formulas of energy consumption, using GAMS-DICOPT as the MINLP solver. In addition, Chen, Zuo [7] draw a conclusion that stable pipeline flow is conducive to reducing frictional loss within the scheduling horizon, thus reducing the energy consumption of pumps. Afterward, they established a discrete-time MILP model with the minimum fluctuation of pipeline flow as the objective function, and proposed a metaheuristic algorithm based on simulated annealing [16] that greatly improved the solving efficiency.…”

Section: Energy Consumptionmentioning

confidence: 99%

“…The pipeline operators should take downstream market demand, refinery production capacity, conveying capacity, and storage profiles along the pipeline into account to rationally allocate resources and work out the detailed scheduling plan [1]. Meanwhile, the scheduling plan is evaluated and verified from the angle of the production safety and feasibility, so as to reach the goals, such as the minimum make spa [2][3][4], minimal operational cost [5,6], the most stable operating condition [7] and the highest market satisfaction [8]. In addition, since the operations of multiproduct pipelines are affected by downstream market demand, the scheduling plans need to be modified continuously during the execution to meet the changing market demand and transportation technology [9].…”

Section: Introductionmentioning

confidence: 99%

Scope for optimal Scheduling of Multiproduct Pipelines with Multi-batch Sequential transportation

Liao¹,

Liang²,

Feng³

et al. 2018

Int J Petrochem Res

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The optimal scheduling of multiproduct pipelines is benefit to improve the transport economy and safety, thus making great sense to the operation and management of multiproduct pipelines. During the last decade, a large number of domestic and foreign studies have been widely done on this topic. Based on the related literature, the paper summarizes the research emphasis, analyzes different modeling methods and solving algorithms 4Kand finally provides the outlook for the further researches on the scheduling optimization.

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“…It has been studied using mixed-integer programming models based on both discrete- or continuous-time representation. Discrete-time models divide the time horizon into some time slots of equal length, − whereas in continuous-time models, the decision on the time slot length is made by optimization. , Various pipeline structures have been studied using continuous-time representation in the literature: (i) a simple nonbranched pipeline with one refinery and depot/multiple depots, − (ii) a straight pipeline with multiple refineries and depots, ,− (iii) tree structure pipelines, − (iv) mesh structure pipelines, − and (v) bidirectional pipelines. , …”

Section: Introductionmentioning

confidence: 99%

Discrete-Time Approach to Operational Scheduling of Treelike Pipelines with Multiple Input and Output Nodes

Taherkhani

2021

Ind. Eng. Chem. Res.

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The operational scheduling of multiproduct pipelines has received increasing attention among researchers in the last decade. Most of the previous contributions rely on a continuous-time approach whose solution CPU time rapidly explodes when dealing with rather long time horizons. Discrete-time models, however, have not been explored to their full potential in the literature for complex pipeline networks. In this paper, we present a discrete-time mixed-integer linear programming model that can find the aggregate scheduling of pipelines with multiple refineries and depots. It is suitable for single-level tree-structured systems, in which all branches appear at different points of the mainline. The proposed model allows to consider multiple intermediate due dates for product demands, simultaneous injections, simultaneous input/output operations at dual-purpose terminals, and variable pump rates. Solutions to three benchmark example problems illustrate that the proposed model can generate high-quality solutions in a reasonable computational burden compared to previous works.

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Optimizing detailed schedules of a multiproduct pipeline by a monolithic MILP formulation

Cited by 38 publications

References 34 publications

Scheduling of crude oil refinery operation with desalting as a separate task

Scheduling of crude oil refinery operation with desalting as a separate task

Scope for optimal Scheduling of Multiproduct Pipelines with Multi-batch Sequential transportation

Discrete-Time Approach to Operational Scheduling of Treelike Pipelines with Multiple Input and Output Nodes

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