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

被引：17

作者：

Xu, Ning ^{[1
]}

Liao, Qi ^{[1
]}

Li, Zhengbing ^{[1
]}

Liang, Yongtu ^{[1
]}

Qiu, Rui ^{[1
]}

Zhang, Haoran ^{[2
]}

机构：

[1] China Univ Petr, Beijing Key Lab Urban Oil & Gas Distribut Technol, Fuxue Rd 18, Beijing 102249, Peoples R China

[2] Univ Tokyo, Ctr Spatial Informat Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan

来源：

CHEMICAL ENGINEERING RESEARCH & DESIGN | 2021年 / 165卷 / 165期

基金：

中国国家自然科学基金;

关键词：

Multiproduct pipelines; Low-energy scheduling; Hybrid-time model; Decomposition approach;

D O I：

10.1016/j.cherd.2020.10.022

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

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. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

引用

收藏

页码：341 / 360

页数：20

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