This preliminary program is subject to change.

Design and Operations Under Uncertainty


Description:
Although the problems associated with optimal design and operation of process systems under uncertainty have been receiving increasing attention since the early 1990s, there are still several key areas that needs to be addressed. This session invites contributions in developments of (i) novel approaches for quantification and propagation of uncertainty, (ii) new models, methods and algorithms to incorporate uncertainty, and (iii) novel approaches to solve the resulting problems in process synthesis, design and operations area. The papers that incorporate simulation and optimization are encouraged.

Sponsor:
Computers in Operations and Information Processing
Co-Sponsor(s):
Systems and Process Design (10A)


Chair:
Xiang Li
Assistant Professor
Queen's University
Department of Chemical Engineering
Kingston, ON K7L 3N6
Email: xiang.li@chee.queensu.ca

Co-Chair:
Selen Cremaschi
Assistant Professor
University of Tulsa
Department of Chemical Engineering
Tulsa, OK 74104
Phone Number: 918-640-6803
Fax Number: 918-640-3268
Email: selen-cremaschi@utulsa.edu


Papers:
Synthesis and Design of Processing Networks: Decision Making Under Uncertainty
Alberto Quaglia, Technical University of Denmark; Bent Sarup, Alfa Laval Copenhagen A/S; Gürkan Sin, Technical University of Denmark; Rafiqul Gani, Technical University of Denmark (DTU)
Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design Space
Michael J. Casciato, Georgia Institute of Technology; Sungil Kim, Georgia Institute of Technology; J.C. Lu, Georgia Institute of Technology; Dennis W. Hess, Georgia Institute of Technology; Martha Grover, Georgia Tech
Bounding the Solutions of Chemical Kinetics Models Using ODEs with Linear Programs Embedded
Stuart Harwood, Massachusetts Institute of Technology; Paul Barton, Massachusetts Institute of Technology
Offshore Oil and Gas Field Infrastructure Planning Under Complex Fiscal Rules and Endogenous Uncertainties
Vijay Gupta, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University
Nonconvex Generalized Benders Decomposition and Piecewise Convex Relaxations for Optimal Process Design and Operation Under Uncertainty
Xiang Li, Queen's University; Yang Chen, Massachusetts Institute of Technology; Paul I. Barton, Massachusetts Institute of Technology
Optimal Design and Scheduling of Multipurpose Batch Plants Under Uncertainty
Dajun Yue, Northwestern University; Fengqi You, Northwestern University
Solution of Optimal Placement Problems in Water Networks with Intractably Large Scenario Spaces
Gabriel Hackebeil, Texas A&M University; Carl D. Laird, Texas A&M University; Sean Legg, Texas A&M University; Jean-Paul Watson, Sandia National Laboratories
See more of this Group/Topical: Computing and Systems Technology Division