Abstract
Meaningful evaluation of the utility and performance of available nonlinear programming techniques for engineering design optimization requires the availability of realistic design models. Such models have been notably lacking in the process design area. In this paper a detailed equation oriented model of a process for the production of ethylene oxide and ethylene glycol is developed to fill this void. The model involves a large number of variables and equality constraints which are by equation sequencing reduced to 22 independent and equality constraints which are by equation sequencing reduced to 22 independent variables, nineteen constraints, as well as bounds. The salient features of such models, their usefulness and limitations are presented. The applicability of available NLP algorithms and inherent difficulties in their application are discussed. Test results are reported with representative codes. GRG codes are found to provide the only practical approach to large scale design optimization.
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© 1982 The Mathematical Programming Society, Inc.
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Sarma, P.V.L.N., Reklaitis, G.V. (1982). Optimization of a complex chemical process using an equation oriented model. In: Goffin, JL., Rousseau, JM. (eds) Applications. Mathematical Programming Studies, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0121229
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DOI: https://doi.org/10.1007/BFb0121229
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