Preliminary Program subject to change
10A10 Design, Analysis and Operations under Uncertainty II
OverviewComplex processes in physics, chemistry, biology, engineering and finance, often exhibit uncertainties, or fluctuations, or noises, in their structures as a rule rather than as an exception. To interpret, analyze, model and simulate these uncertainties, algorithms have developed to yield not only the structure or pattern of these processes, but also the statistical characteristics of the evolutions of underlined uncertainties that the conventional deterministic models can not offer. These algorithms have significantly optimized process design and operations. Recent development seems to suggest the needs for 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, (iv) integration of uncertainty analysis within process design and operations in a unified framework, and (v) reconciliations of the stochastic algorithms developed by engineers with those by chemical physicists.
Primary SponsorSystems and Process Design (10a)
Co-Sponsor(s)Information Technology (10e)

Chair

Randy Esposito
Development Associate
Praxair
175 East Park Drive
PO Box 44
Tonawanda, NY 14150
Phone Number: (716) 879-2406
Fax Number: (716) 879-7091
Email: randy_esposito@praxair.com

CoChair

Gavin P. Towler
Chief Engineer
UOP Innovation Group
25 E Algonquin Rd
Des Plaines, IL 60017-5017
Phone Number: 847 391 2788
Fax Number: 847 391 3491
Email: Gavin.Towler@uop.com
A Methodology to Integrate Process Design and Process Control for Chemical Processes
Luis A. Ricardez Sandoval1, Hector M. Budman2 and Peter L. Douglas2, (1)Chemical Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L3G1, Canada, (2)Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L3G1, Canada
A Multistage Stochastic Minlp Model for Exploration and Planning of Petroleum Fields under Uncertainty
Bora Tarhan and Ignacio E. Grossmann, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
Multiperiod Planning of Refinery Operations under Market Uncertainty
Sourabh Gupta, Centre for Process Integration, School of Chemical Engineering and Analytical Science, The University of Manchester, P. O. BOX 88, Manchester, M60 1QD, United Kingdom and Nan Zhang, Centre for Process Integration, School of Chemical Engineering and Analytical Science, The University of Manchester, P. O. Box 88, Manchester, M60 1QD, United Kingdom
Identification of Hybrid Systems with Application to Fault Detection of a Reverse-Flow Reactor System
Amos Ben-Zvi, Venkat Raghavan and Sirish L. Shah, Chemical Engineering, University of Alberta, Edmonton, AB T6G 2G6, Canada
Performing Integrated Process and Control Design Using a Modified Polynomial Chaos Expansion (Mpce) in Optimisation under Uncertainty (Ouu)
C. Esther Van Cauwenberghe and J. Alberto Bandoni, PLAPIQUI-CONICET, Cno La Carrindanga Km 7, Bahía Blanca, 8000, Argentina
Robust Scheduling of Crude Oil Operations under Demand and Ship Arrival Uncertainty
J. Li, Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore, I. A. Karimi, Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore 117576, Singapore and Rajagopalan Srinivasan, Department of chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576, Singapore, Singapore
Integrated Design and Control of Polymerization Reactor under Uncertainty
Andres Malcolm1, Libin Zhang1 and Andreas A. Linninger2, (1)University of Illinois at Chicago, 810 S. Clinton St., Chicago, IL 60607, (2)Chemical Engineering & Bioengineering, University of Illinois at Chicago, 810 S. Clinton St., Chicago, IL 60607

Computing and Systems Technology Division