2002
DOI: 10.1590/s0104-66322002000400016
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An milp formulation for the scheduling of multiproduct pipeline systems

Abstract: -Pipelines provide an economic mode of fluid transportation for petroleum systems, specially when large amounts of these products have to be pumped for large distances. The system discussed in this paper is composed of a petroleum refinery, a multiproduct pipeline connected to several depots and the corresponding consumer markets that receive large amounts of gasoline, diesel, LPG and aviation fuel. An MILP optimization model that is based on a convex-hull formulation is proposed for the scheduling system. The… Show more

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Cited by 11 publications
(10 citation statements)
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References 7 publications
(8 reference statements)
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“…The power requirement is higher during pumping products with higher densities and vice versa [31][32][33]. This validates the fact that products viscosities significantly affect power consumption of a pump and energy requirement of pumping systems [34][35][36][37]. As previously explained, variation in pump's head affects the energy consumption of the pumping systems.…”
Section: Total Electrical Power Consumption Of the Mainline Pumpsupporting
confidence: 60%
“…The power requirement is higher during pumping products with higher densities and vice versa [31][32][33]. This validates the fact that products viscosities significantly affect power consumption of a pump and energy requirement of pumping systems [34][35][36][37]. As previously explained, variation in pump's head affects the energy consumption of the pumping systems.…”
Section: Total Electrical Power Consumption Of the Mainline Pumpsupporting
confidence: 60%
“…In petroleum engineering, the fluid flow from an oil well and the pressure drop in a pipeline can be approximated with a piecewise-linear function [1]. In optimization, nonlinear problems can be recast as a mixedinteger linear programming (MILP) problem, which is then solved with MILP algorithms [2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…With the tanks, they developed a wide calibrated (MILP) model for the system's synchronized optimization. The model was formed on the basis of convex-hull formulation (Rejowski and Pinto, 2002).…”
Section: Literature Reviewmentioning
confidence: 99%
“…This mixing quantity will not be transferred to the storage tanks. It will be kept in the line up to the storage tank it reaches; and from there, it will be drawn back and subjected to the process again (Rejowski and Pinto, 2002). Otherwise; it may lead to high product losses.…”
Section: Constraintsmentioning
confidence: 99%