Modeling for integrated refinery planning with crude-oil scheduling

This work aims to solve the integrated optimization for a complete refinery, which spans from crude oil operations to the refining processes and blending operations. We define a multi-period refinery planning problem by considering the scheduling for crude oil in which the objective function is to maximize the net profit. The optimization procedure simultaneously determines the variables of crude oil scheduling, refinery planning, and blending recipes in each time period. A hierarchical hybrid continuous-discrete time re-presentation is proposed for the integrated optimization problem. This integrated opti-mization problem yields a Mixed-Integer Nonlinear Programming model for the refinery-wide multi-period optimization. The main contribution of this work is the novel mathe-matical optimization model proposed for the entire process optimization of refinery production. Computational results with the solvers DICOPT and BARON illustrate the scope of integrated optimization solutions for a real refinery plant with different horizon lengths, demonstrating the tractability, validity, and capability for obtaining near-optimal solutions of the proposed integrated model. (c) 2023 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.