Data-driven Process Systems Engineering Lab
Research
Advances in Global Optimization of Grey-Box Computational Systems and Applications to Highly constrained oilfield operations
Foundations in Computer-Aided Process Operations in Tucson, Arizona
January 11, 2017
Uncertainty Considerations for Surrogate Functions for Constrained Grey-Box Optimization
AIChE Annual Meeting 2016 in San Francisco
November 10, 2016
Data-Driven Modeling and Global Optimization of Industrial-Scale Petrochemical Planning Operations
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…
Planning of Industrial-Scale Integrated Petrochemical Plants Using a Big-Data Analysis and Global Optimization Framework
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…
Data-Centric Optimization: Methods and Applications
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…
