An Event-Based Continuous-Time MILP for Short-Term Crude Oil Scheduling

İrem Marttin; Sena Kurban; Gizem Kuşoğlu Kaya; Özgür Kabak; Y. İlker Topcu

doi:10.1016/B978-0-443-15274-0.50116-5

An Event-Based Continuous-Time MILP for Short-Term Crude Oil Scheduling

İrem Marttin, Sena Kurban, Gizem Kuşoğlu Kaya, Özgür Kabak, Y. İlker Topcu

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

In complex real refinery systems, it is essential to find an optimal plan in a short time to maintain operations’ efficiency. An effective tool for industrial use in refinery crude oil scheduling is still lacking. The aim of this study is to develop an optimization tool to support efficient decision-making by ensuring the stability of operations and considering economic profit. An event-based continuous-time Mixed Integer Linear Program is developed to handle crude oil operations from vessels to crude distillation units as well as to satisfy product demands. This new formulation describes real-world operational applications of the TUPRAS Refinery.

Original language	English
Title of host publication	Computer Aided Chemical Engineering
Publisher	Elsevier B.V.
Pages	727-732
Number of pages	6
DOIs	https://doi.org/10.1016/B978-0-443-15274-0.50116-5
Publication status	Published - Jan 2023

Publication series

Name	Computer Aided Chemical Engineering
Volume	52
ISSN (Print)	1570-7946

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

Crude oil operations
Mixed-integer linear programming
Optimization
Short-term scheduling

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10.1016/B978-0-443-15274-0.50116-5

Cite this

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AU - Kaya, Gizem Kuşoğlu

AU - Kabak, Özgür

AU - Topcu, Y. İlker

PY - 2023/1

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KW - Mixed-integer linear programming

KW - Optimization

KW - Short-term scheduling

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An Event-Based Continuous-Time MILP for Short-Term Crude Oil Scheduling

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