2016
DOI: 10.1002/aic.15220
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Data‐driven mathematical modeling and global optimization framework for entire petrochemical planning operations

Abstract: In this work we develop a novel modeling and global optimization-based planning formulation, which predicts product yields and properties for all of the production units within a highly integrated refinery-petrochemical complex. Distillation is modeled using swing-cut theory, while

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Cited by 53 publications
(24 citation statements)
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“…The available literature states that a 10-20% energy consumption reduction is feasible in U.S. refineries with economically acceptable parameters [2]; in Russia, the situation is similar [3]. Heat recuperation intensification [4,5], modern electromotor installations [6,7], advanced process control implementation [6,8], improvement of fuel gas management and fuel switching [5,8], and the use of new conversion technologies [8,9] are among the most promising measures to achieve the energy intensity reduction goal. An additional benefit, although less tangible than direct energy cost reduction, is an associated cut in the GHG emissions [9,10] emitted from process heaters.…”
Section: Introductionmentioning
confidence: 99%
“…The available literature states that a 10-20% energy consumption reduction is feasible in U.S. refineries with economically acceptable parameters [2]; in Russia, the situation is similar [3]. Heat recuperation intensification [4,5], modern electromotor installations [6,7], advanced process control implementation [6,8], improvement of fuel gas management and fuel switching [5,8], and the use of new conversion technologies [8,9] are among the most promising measures to achieve the energy intensity reduction goal. An additional benefit, although less tangible than direct energy cost reduction, is an associated cut in the GHG emissions [9,10] emitted from process heaters.…”
Section: Introductionmentioning
confidence: 99%
“…Some physical understanding is presumed; data is utilized to guide and adjust the first-principles equations in areas where there is a lack of insight [40][41][42]. Hybrid models are increasingly becoming a mainstay in energy systems engineering as energy systems grow more complex and pure theoretical approaches are not sufficient [43,44], especially in applications such as renewable energy infrastructural design [45] and refinery manufacturing operations [46].…”
Section: Mathematical Modelingmentioning
confidence: 99%
“…For example, in-line blending operations -which are also the basis for cuttingedge production technologies such as in-line blending certification (Feital et al, 2013) -represent a didactic example, since blending has been considered the refinery's last chance to impact profitability (Kelly and Mann, 2003). Increasing attention has been devoted to analyzing the main opportunities and challenges in the field (Li, 2016;Li et al, 2016), which include the urgent need for an industryuniversity research coalition (Yuan et al, 2017). In this sense, here we unify insights from industry and academia to examine promising routes for furthering RPS development in smart refineries.…”
Section: An Integrative Activitymentioning
confidence: 99%