Data-driven Process Systems Engineering Lab
Data-driven Process Systems Engineering Lab
Relevant Publications
Computers & Chemical Engineering 2020
Computers & Chemical Engineering 2018
This work presents recent advances within the AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems (ARGONAUT) framework, developed for optimization of systems which lack analytical forms and derivatives. A new parallel version of ARGONAUT (p-ARGONAUT) is introduced to solve…
Computational Geosciences 2017
The objective of this paper is to introduce a novel paradigm to reduce the computational effort in waterflooding global optimization problems while realizing smooth well control trajectories amenable for practical deployments in the field. In order to overcome the problems…
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…
Journal of Global Optimization 2015
Computers and Chemical Engineering 2015
We present a multi-scale framework for the optimal design of CO2 capture, utilization, and sequestration (CCUS) supply chain network to minimize the cost while reducing stationary CO2 emissions in the United States. We also design a novel CO2 capture and…
Industrial Engineering & Chemistry Research 2014
We design a CO2 Capture, Utilization, and Sequestration (CCUS) supply chain network with minimum cost to reduce stationary CO2 emissions and their adverse environmental impacts in the United States. While doing so, we consider simultaneous selection of source plants, capture…
Relevant Presentations
Foundations in Computer-Aided Process Operations in Tucson, Arizona
January 11, 2017
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…
2013 AIChE Annual Meeting in San Fransisco
November 08, 2013
CO2 capture, utilization and storage (CCUS) is an enabling technology toward reducing CO2 emissions from stationary sources which include power plants, cement production plants, iron and steel plants, refineries, petrochemicals and gas processing plants. More than 60% of the total…
2013 AIChE Annual Meeting in San Fransisco
November 05, 2013
Grey-box optimization methods have a wide range of applicability in various fields which rely on expensive simulations or solely input-output data [1]. Consequently, there has been great interest in the development of methods for the optimization of models for which…