Control-theoretic and model-based scheduling of crude oil transportation for refinery industry

Nai Qi Wu, Mengchu Zhou, Li Ping Bai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Some refineries need to process both low and high fusion point crude oil. Often storage tanks are located at two geographically different sites, one for low fusion point crude oil and the other for high one. With two storage sites, two pipelines are needed to transport different types of crude oil. It is difficult to enforce the constraints resulting from high fusion point oil transportation. Reducing such transportation cost is among the most important goals sought by refinery industry. This work for the first time studies this scheduling problem from a control-theoretic viewpoint. Due to the hybrid property of the process, the system is modeled by a hybrid Petri net. With this model, an efficient method is presented to schedule the transportation of high fusion point crude oil.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3273-3278
Number of pages6
ISBN (Electronic)9781479936854, 9781479936854
DOIs
StatePublished - Sep 22 2014
Event2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China
Duration: May 31 2014Jun 7 2014

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2014 IEEE International Conference on Robotics and Automation, ICRA 2014
Country/TerritoryChina
CityHong Kong
Period5/31/146/7/14

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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