Data-driven Process Systems Engineering Lab
Data-driven Process Systems Engineering Lab
Relevant Publications
Computers & Chemical Engineering 2020
AIChE Journal 2016
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 data-based nonlinear…
Relevant Presentations
American Control Conference in Boston, USA
July 07, 2016 at 11.00
In this work, we have developed a data-driven model which is used for the optimization of planning operations of a large petrochemical complex, comprising of a petrochemical plant and two ethylene plants. We have developed unit operation models for all…
2015 AIChE Annual Conference in Salon F (Salt Lake Marriott Downtown at City Creek)
November 10, 2015 at 12.30
Planning of the production of petrochemical products involves solving large-scale optimization models incorporating information such as: flowsheet topology, process capacity, operating constraints, intermediates and final product quality constraints, and market demand and costs [1-2]. Optimization of planning operations becomes significantly…
2015 AIChE Annual Meeting in Exhibit Hall 1 (Salt Palace Convention Center)
November 08, 2015
As an engineering community we have been working towards developing detailed mathematical simulation models which accurately capture the behavior of complex systems. This trend is reinforced by our drive to couple multiscale information which ranges from the atomistic and molecular…
2014 AIChE Annual Meeting in Atlanta
November 20, 2014
In the last twenty years, the petrochemical industry has succeeded by creating markets and supplying them with suitable products used to create goods such as plastics, cosmetics, lubricants, and paints. Petrochemical production begins in a refinery that separates crude oils…