Document Type : Research Paper
Authors
1
1 M.Sc Student, Department of Chemical Engineering, Shahid Nikbakht Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran, mohadesepodine7@gmail.com
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Professor Department of Chemical Engineering, Shahid Nikbakht Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran, , fshahraki@eng.usb.ac.ir
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Department of Chemical Engineering, Shahid Nikbakht Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran
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4 Associate Professor, Department of Chemical Engineering, Shahid Nikbakht Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran, , a.khalilipour@eng.usb.ac.ir
10.22078/pr.2025.5560.3469
Abstract
The products derived from crude oil hold immense significance in both industry and everyday life. Refining processes, as core operations within the oil industry, are highly complex and encompass numerous interconnected and diverse operations. The primary goal in refining optimization is to minimize operational costs or maximize profit margins. Optimization objectives, whether focused on minimizing costs or increasing profitability, are commonly formulated as functions of decision variables that reflect the refinery’s operational and financial aspects. In this study, we investigate the optimal configuration of a refinery network by employing both linear (LP) and nonlinear (NLP) programming models, incorporating critical constraints such as pressure, resource availability, consumer demand, operational costs, and capital expenditures. The results indicate that the income generated from the nonlinear optimization model exceeds the baseline configuration by approximately 2%, highlighting the enhanced economic viability achieved through advanced modeling techniques.
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