LAPSE:2025.0305v1
Published Article
LAPSE:2025.0305v1
Refinery Optimal Transitions by Iterative Linear Programming
June 27, 2025
Abstract
This paper focuses on the control and dynamics of an oil refinery process on an intermediate level - the flows, masses and compositions of and between units within the refining operation. It aims to elucidate optimal strategies for the routing of streams during upset events imposed on the process. A general flowsheet simulation technique including tunable controllers for flows, compositions, levels and reaction extents is incorporated in a Linear Programming model. A standard node represents a mixed receiving tank, with exit streams which can be split, converted and separated. These nodes can be inter-connected arbitrarily in the flowsheet. The method is demonstrated for the case of a planned 3-day shutdown of the catalytic cracker.
This paper focuses on the control and dynamics of an oil refinery process on an intermediate level - the flows, masses and compositions of and between units within the refining operation. It aims to elucidate optimal strategies for the routing of streams during upset events imposed on the process. A general flowsheet simulation technique including tunable controllers for flows, compositions, levels and reaction extents is incorporated in a Linear Programming model. A standard node represents a mixed receiving tank, with exit streams which can be split, converted and separated. These nodes can be inter-connected arbitrarily in the flowsheet. The method is demonstrated for the case of a planned 3-day shutdown of the catalytic cracker.
Record ID
Keywords
constrained, control, flowsheet, horizon, maximisation, profit
Subject
Suggested Citation
Mulholland M. Refinery Optimal Transitions by Iterative Linear Programming. Systems and Control Transactions 4:956-961 (2025) https://doi.org/10.69997/sct.180110
Author Affiliations
Mulholland M: University of KwaZulu-Natal, Department of Chemical Engineering, Durban, KwaZulu-Natal, South Africa
Journal Name
Systems and Control Transactions
Volume
4
First Page
956
Last Page
961
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 0956-0961-1107-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0305v1
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https://doi.org/10.69997/sct.180110
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[v1] (Original Submission)
Jun 27, 2025
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References Cited
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