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A two-stage strategy for the pump optimal scheduling of refined products pipelines

Xin, Shengchao and Liang, Yongtu and Zhou, Xingyuan and Li, Wenjing and Zhang, Jie and Song, Xuan and Yu, Chunquan and Zhang, Haoran (2019) A two-stage strategy for the pump optimal scheduling of refined products pipelines. Chemical Engineering Research and Design, 152 . pp. 1-19. ISSN 0263-8762. doi:10.1016/j.cherd.2019.09.014.

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As one of the major means to link refineries to local markets, pipelines are crucial for refined oil supply chains. Pump scheduling is vital to optimally operate the refined products pipelines. Existing studies mostly quantified the number of pump stop/restart in the form of cost, whereas the cost coefficient was often subjectively selected. The present study built a multi-objective mixed-integer linear programming (MOMILP) model for refined products pipelines to minimize the number of pump stop/restart and reduce the pump running cost simultaneously. In this study, the minimum continuous running time of pumps, changing electricity price (i.e., time-changing electricity price and local electricity) and the pressure limits of special points were considered meticulously, e.g. high-elevation points, low-elevation points and pump stations. In the first stage, the improved augmented ε-constraint method (AUGMECON) was adopted to deal with this model, and obtained a seris of pump operating schemes, acting as a Pareto set. Then the results of the AUGMECON were evaluated by an established evaluation model based on neural network. Finally, two cases from a refined products pipeline system in China were employed to verify the practicability and accuracy of the proposed model. The results of this study can effectively guide the pump scheduling of refined products pipelines.

Item Type:Article
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URLURL TypeDescription
Yu, Chunquan0000-0001-8681-8572
Zhang, Haoran0000-0002-4641-0641
Additional Information:© 2019 Published by Elsevier B.V. on behalf of Institution of Chemical Engineers. Received 13 January 2019, Revised 2 August 2019, Accepted 9 September 2019, Available online 16 September 2019.
Group:Seismological Laboratory
Subject Keywords:refined products pipelines pump scheduling; pump stop/restart; changing electricity price; AUGMECON; neural network
Record Number:CaltechAUTHORS:20190917-142547839
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Official Citation:Shengchao Xin, Yongtu Liang, Xingyuan Zhou, Wenjing Li, Jie Zhang, Xuan Song, Chunquan Yu, Haoran Zhang, A two-stage strategy for the pump optimal scheduling of refined products pipelines, Chemical Engineering Research and Design, Volume 152, 2019, Pages 1-19, ISSN 0263-8762, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98690
Deposited By: Tony Diaz
Deposited On:17 Sep 2019 21:40
Last Modified:16 Nov 2021 17:40

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