273 Design and Operations Under Uncertainty I


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 yielding robust and reliable design for chemical processes. The papers that incorporate simulation and optimization are encouraged.

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


Chair:
Nagore Sabio
Advanced Researcher
ExxonMobil Research & Engineering Co.
Annandale, NJ
Phone Number: (908) 335-1302
Email: nagore.sabio@exxonmobil.com

Co-Chair:
Matthew D. Stuber
Assistant Professor
University of Connecticut
Chemical and Biomolecular Engineering
Storrs, CT
Email: matthew.stuber@uconn.edu


Papers:
A Computational Tool for Applying Optimization Under Uncertainty on Advanced Process Simulators
Frits Byron Soepyan, National Energy Technology Laboratory; John C. Eslick, National Energy Technology Laboratory; Miguel A. Zamarripa, National Energy Technology Laboratory; Andrew Lee, National Energy Technology Laboratory; Benjamin P. Omell, National Energy Technology Laboratory; Charles H. Tong, Lawrence Livermore National Laboratory; Brenda Ng, Lawrence Livermore National Laboratory; Jeremy C. Ou, Lawrence Livermore National Laboratory; Pedro Sotorrio, Lawrence Livermore National Laboratory; Joshua Boverhof, Lawrence Berkeley National Laboratory; Michael S. Matuszewski, National Energy Technology Laboratory; David C. Miller, National Energy Technology Laboratory
A Novel Objective Reduction Method: Application to the Comparison of Risk Metrics
Daniel Vázquez, University of Alicante; Ruben Ruiz-Femenia, University of Alicante; Jose A. Caballero, University of Alicante
Stochastic Programming Framework for Electric Power Infrastructure Planning
Cristiana L. Lara, Carnegie Mellon University; Benjamin P. Omell, National Energy Technology Laboratory; David C. Miller, National Energy Technology Laboratory; Ignacio E. Grossmann, Carnegie Mellon University
Strategic Planning of Supply Chains Considering Extreme Events: Novel Heuristic and Application to the Petrochemical Industry
Michael Ehrenstein, Imperial College of Science, Technology and Medicine; Gonzalo Guillén-Gosálbez, Imperial College of Science, Technology and Medicine
Resilient Design and Operations of Chemical Process Systems Using Robust Optimization
Jian Gong, Cornell University; Fengqi You, Cornell University
A Mixed-Integer Conic Programming Formulation for Computing the Flexibility Index Under Multivariate Gaussian Random Variables
Victor M. Zavala, University of Wisconsin-Madison; Joshua Pulsipher, University of Wisconsin-Madison
Modeling for Reliability Optimization of System Design and Maintenance Based on Markov Chain Theory
Yixin Ye, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University; Jose M. Pinto, Praxair, Inc.; Sivaraman Ramaswamy, Praxair, Inc.
Novel Method for the Integration of Flexibility and Stability in Design of Chemical Processes Under Parametric Uncertainties
Ying Chen, Tsinghua University; Zhihong Yuan, Tsinghua University; Bingzhen Chen, Tsinghua University
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division