Data‐Driven Mathematical Modeling and Global Optimization Framework for Entire Petrochemical Planning Operations

AIChE Journal 2016

J. Lie X. Xiao F. Boukouvala C.A. Floudas B. Zhao G. Du S. Xu H. Liu

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…

Global Optimization Advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO

European Journal of Operational Research 2015

F. Boukouvala R. Misener C.A. Floudas

This manuscript reviews recent advances in deterministic global optimization for Mixed-Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free Optimization (CDFO). This work provides a comprehensive and detailed literature review in terms of significant theoretical contributions, algorithmic developments, software implementations…

A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU

Computers and Chemical Engineering 2015

C.A. Floudas E. First F. Boukouvala M.M.F. Hasan

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…

Nationwide, Regional, and Statewide CO2 Capture, Utilization, and Sequestration Supply Chain Network Optimization

Industrial Engineering & Chemistry Research 2014

M.M.F. Hasan E. First F. Boukouvala C.A. Floudas

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…