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Multi-scale Optimization Approaches for Process Systems Engineering Problems

The scope of Process Systems Engineering has been expanded recently beyond the traditional focus on the design and control of process units and process flowsheets. The recent trend has been on the one hand to move towards the molecular level in order to address the design of molecular structures, and on the other hand the move has been towards the enterprise level in order to optimize the supply chain in the process industry. This expanded scope gives rise to challenging multi-scale optimization problems that require integration across several order of magnitude scales in time and length. We will show that logic-based optimization methods, combined with solution approaches based on decomposition and aggregation can be used to tackle some of these problems. We specifically concentrate on three problems to illustrate these points. First, we address the development of new products such as pharmaceuticals and agrochemicals in which the selection of candidate molecules at the discovery phase must be performed in order to schedule the testing for FDA approval, and coordinated with the design of the corresponding batch process. We also show an application to the optimization of metabolic networks. Second, we address two major problems arising in the petroleum and petrochemical industry: the design and planning of oilfield infrastructures, and the synthesis of separation systems for hydrocarbons. Third, we address the problem of production planning for multiproduct plants and scheduling of batch manufacturing facilities. In the three areas of applications we develop mixed-integer and disjunctive programming optimization models for which Lagrangean decomposition methods are used. As will be shown in all these examples, significant economic improvements can be obtained with the proposed optimization models.
Type of Seminar:
Public Seminar
Prof. Ignacio Grossmann
Automatic Lab - D-ITET - 8092 Zürich and Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, 15213, U.S.A.
Mar 30, 2004   16:15

ETH Zentrum, Sonneggstrasse 3, ML F 36
Contact Person:

Dr. Stavros Tsantilis
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Biographical Sketch:
Ignacio E. Grossmann is the Rudolph R. and Florence Dean University Professor of Chemical Engineering, and former Department Head at Carnegie Mellon University. He obtained his B.S. degree in Chemical Engineering at the Universidad Iberoamericana, Mexico City, in 1974, and his M.S. and Ph.D. in Chemical Engineering at Imperial College in 1975 and 1977, respectively. After working as an R&D engineer at the Instituto Mexicano del Petróleo in 1978, he joined Carnegie Mellon in 1979. He was Director of the Synthesis Laboratory from the Engineering Design Research Center in 1988-93. He is currently member of the "Center for Advanced Process Decision-making" which comprises a total of 15 chemical and petroleum companies. Ignacio Grossmann is a member of the National Academy of Engineering, Mexican Academy of Engineering, and associate editor of AIChE Journal and member of editorial board of Computers and Chemical Engineering, Journal of Global Optimization, Optimization and Engineering, and Latin American Applied Research. Major awards include the 1984 Presidential Young Investigator Award, the 1994 Computing in Chemical Engineering Award of the CAST Division of AIChE, the 1997 William H. Walker Award of AIChE, in 2002 Honorary Doctor in Technology from Ĺbo Akademi in Finland, Fellow of INFORMS and Top 15 Most Cited Author in Computer Science by ISI, and the recipient of the 2003 Computer Society Prize of INFORMS. He was also recipient of the Best Technical Paper in 1988, 1996, 1998 and 2000 of Computers and Chemical Engineering. The research interests of Ignacio Grossmann are in the areas of process synthesis, energy integration, planning and scheduling of batch and continuous processes, supply chain optimization, optimization under uncertainty, and mixed-integer and logic-based optimization. He has authored more than 200 papers, several monographs on design cases studies, and the textbook "Systematic Methods of Chemical Process Design." Professor Grossmann has graduated 34 Ph.D. and 3 M.S. students.