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Large scale process optimization techniques applied to chemical and petroleum processes
Author(s) -
Jung B. S.,
Mirosh W.,
Ray W. H.
Publication year - 1971
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450490623
Subject(s) - oil refinery , process optimization , decomposition , nonlinear programming , computer science , process (computing) , mathematical optimization , chemical process , refinery , optimization problem , scale (ratio) , scheduling (production processes) , nonlinear system , engineering , mathematics , algorithm , chemistry , chemical engineering , waste management , physics , organic chemistry , quantum mechanics , operating system
Some approaches for finding the solution to large scale process optimization problems are discussed. Several popular nonlinear programming algorithms are tested and conclusions reached about their suitability for chemical process optimization. Decomposition procedures are also discussed and numerical studies made to examine the relative merits of decomposition vs. “black box” optimization strategies. Test problems include an oil refinery scheduling problem and a chemical process optimization problem