This preliminary program is subject to change.

Operations Under Uncertainty


Description:
The issue of uncertainty has been the focus of numerous publications in the last decade. A lot of advantages have thus been reported in terms of uncertainty characterization, evaluation and modeling within process design and operations. However, a number of issues are still unresolved and necessitate the need of additional work in this area. Among them are questions regarding the efficient solution of large-scale problems and the applicability of the proposed methodologies in realistic case studies. Papers are sought that describe: (i) modeling, algorithmic development and solution procedures for the design and operation under uncertainty, (ii) characterization of system behavior under uncertainty, (iii) evaluation of feasible region of design operation for realistic nonconvex cases, and (iv) integration of uncertainty analysis within process design and operations in a unified framework.

Sponsor:
Computers in Operations and Information Processing


Chair:
Ignasi Palou-Rivera
Principal Environmental Engineer
Argonne National Laboratory
Energy Systems Division
9700 S Cass Ave
Argonne, IL 60439
Phone Number: +1 630 252 4315
Email: palourivera@anl.gov

Co-Chair:
Benoît Chachuat
Assistant Professor
McMaster University
Department of Chemical Engineering
1280 Main Street West
Hamilton, ON L8S4L7
Phone Number: (905) 525-9140 ext. 24703
Email: benoit@mcmaster.ca


Papers:
Rigorous Convex Enclosures of the Reachable Sets of Nonlinear ODEs Under Uncertainty
Joseph K. Scott, Massachusetts Institute of Technolgy; Paul I. Barton, Massachusetts Institute of Technology
Addressing the Placement of Sensors in IGCC Power Plants through An Efficient Stochastic Mixed Integer Nonlinear Programming Algorithm
Adrian J. Lee, Vishwamitra Research Institute; Urmila Diwekar, Vishwamitra Research Institute, Center for Uncertain Systems: Tools for Optimization and Management
Optimization of Crude Oil Purchasing and Blending Under Uncertainties
Yanqin Wen, Lamer University; Jian Zhang, Lamar University; Qiang Xu, Lamar University
Mixed Integer Linear Programming Formulation of Value at Risk and Conditional Value at Risk for General Stochastic Programs
Matthew Colvin, University of Wisconsin - Madison; Christos T. Maravelias, University of Wisconsin - Madison
Design Methodology of Modifier-Adaptation RTO Systems
Eric Rodger, McMaster University; Benoît Chachuat, McMaster University
See more of this Group/Topical: Computing and Systems Technology Division