2018
DOI: 10.1590/0104-6632.20180351s20160124
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An integrated optimization and simulation model for refinery planning including external loads and product evaluation

Abstract: Because of its potential benefits, petroleum refineries are increasingly concerned about their planning operations. Although some refinery models for production planning were proposed, they are quite limited in their usefulness. This study describes an integrated approach involving nonlinear optimization and simulation of refinery units in order to obtain a production planning for a given refinery that maximizes profit. The problem is modeled through the LINGO 16.0 software interface and it is solved using LIN… Show more

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Cited by 7 publications
(1 citation statement)
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References 22 publications
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“…Sales et al 33 presented an integrated approach involving nonlinear optimization and simulation of refinery units to obtain a production planning for a given refinery that maximizes profit, accounts for external loads, product adding, product pricing and achieves global optimum solution for the blending in small computational times in every case study. They propose methods combined with refinery optimization, such as sensitivity analysis and the determination of break-even points of external loads and of new products, which aims to enhance the refinery planning and increase its profit.…”
Section: Introductionmentioning
confidence: 99%
“…Sales et al 33 presented an integrated approach involving nonlinear optimization and simulation of refinery units to obtain a production planning for a given refinery that maximizes profit, accounts for external loads, product adding, product pricing and achieves global optimum solution for the blending in small computational times in every case study. They propose methods combined with refinery optimization, such as sensitivity analysis and the determination of break-even points of external loads and of new products, which aims to enhance the refinery planning and increase its profit.…”
Section: Introductionmentioning
confidence: 99%