An efficient decomposition approach for the low-energy scheduling of a straight multiproduct pipeline

•A hybrid-time MILP model is developed for the low-energy scheduling of straight pipelines.•The proposed model can be reformulated as adjusting model to improve solving efficiency.•An efficient decomposition approach that integrates heuristics and MILP models is proposed.•High-quality schedules are...

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Bibliographic Details
Published in:Chemical engineering research & design 2021-01, Vol.165, p.341-360
Main Authors: Xu, Ning, Liao, Qi, Li, Zhengbing, Liang, Yongtu, Qiu, Rui, Zhang, Haoran
Format: Article
Language:English
Subjects:
Decomposition
Decomposition approach
Electricity pricing
Hybrid-time model
Integer programming
Linear programming
Low-energy scheduling
Mathematical models
Mixed integer
Multiproduct pipelines
Scheduling
Studies
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Summary:•A hybrid-time MILP model is developed for the low-energy scheduling of straight pipelines.•The proposed model can be reformulated as adjusting model to improve solving efficiency.•An efficient decomposition approach that integrates heuristics and MILP models is proposed.•High-quality schedules are obtained by the proposed approach with the shorter time. This paper proposes a hybrid-time mixed integer linear programming model for low-energy scheduling of single-source multiproduct pipelines. The model divides the time horizon into slots by event points of batches reaching stations and fixed points of electricity price changing. Through this division, some practical factors are easily modelled as linear items, including time-varying electricity price and flowrate limits related to interfaces. The key technology for this model is the initialization of all time points’ sequence, so a decomposition approach is developed to efficiently seek satisfactory sequence of all time points. Its superiority is validated by two real-world cases.
ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2020.10.022