CRI Seminar - Larry Biegler
October 15 @ 3:30 PM - 4:30 PM - Forney Hall Atrium
Algorithmic Advances and Applications for Chemical Process Optimization
Abstract: Optimization formulations play a key part in many aspects of chemical process engineering. Moreover, with the application of more accurate and complex process models, a number of important algorithmic challenges must be addressed to deal with these optimization models efficiently. This talk presents an overview of advances in large-scale optimization algorithms along with process engineering case studies that exploit these features.
In particular, we consider the optimization of dynamic processes. Such processes include periodic adsorption processes (including SMB and PSA), grade transitions in polymers and batch processes. For these cases, we discuss efficient optimization formulations that can also be applied on-line for real-time optimization. For the real-time task, recent development of powerful, large-scale solvers leads to a reconsideration of these formulations, in particular, through application of efficient large-scale barrier methods for nonlinear programming (NLP). Moreover, in-built NLP sensitivity capabilities quickly compute approximate solutions of perturbed NLPs. This allows on-line computations to be drastically reduced, even when large nonlinear optimization models are considered. Finally, extensions of these approaches to consider dynamic complementarity systems allow the treatment of a class of discrete decisions. These recent results motivate the development of dynamic real-time optimization (D-RTO) strategies that can be used to merge and replace the tasks of (steady-state) real-time optimization (RTO) and on-line control.
Biography - Lorenz T. (Larry) Biegler is currently the Bayer Professor of Chemical Engineering at Carnegie Mellon University, which he joined after receiving his PhD from the University of Wisconsin in 1981. His research interests lie in computer aided process engineering (CAPE) and include flowsheet optimization, optimization of systems of differential and algebraic equations, reactor network synthesis and algorithms for constrained, nonlinear process control. Prof. Biegler has been a visiting scholar at Northwestern University, a scientist-in-residence at Argonne National Lab, a Distinguished Faculty Visitor at the University of Alberta and at Zhejiang University, a Gambrinus Fellow at the University of Dortmund, a Fulbright Fellow at the University of Heidelberg, a Distinguished Jubilee Lecturer at IIT-Bombay. He has authored or co-authored over 250 archival publications, authored or edited nine books and given numerous invited presentations at national and international conferences.