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 Operations
Co-Sponsor(s):
Systems and Process Design (10A)
Co-chairs:
Dinesh Krishnamoorthy
Department of Chemical Engineering, Harvard John A. Paulson School of Engineering and, Allston, MA
Francesco Rossi
Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division