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Recent Advances in Chemical Process Optimization
Author(s) -
Biegler Lorenz T.
Publication year - 2014
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201400033
Subject(s) - sequential quadratic programming , process optimization , computer science , nonlinear programming , mathematical optimization , process (computing) , engineering optimization , scale (ratio) , focus (optics) , optimization problem , nonlinear system , control engineering , industrial engineering , engineering , quadratic programming , mathematics , chemical engineering , quantum mechanics , operating system , physics , optics
Systematic optimization strategies are essential in process design, operations and control. This study provides a concise overview of recent advances in process optimization, with a particular focus on nonlinear programming. Here, derivative‐free, SQP, reduced gradient, and interior point methods are described. Moreover, state of the art problem formulations and modeling environments are described, and contrasted with popular process simulation tools. Finally research directions are identified for future trends in multi‐scale optimization within large‐scale equation‐oriented optimization environments.