Structuring of the optimum processing system: a better linearization method for the nonlinear cost objective function

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Abstract

In structuring the optimum processing system using the cost objective, nonlinearities are introduced by investment- and labor-related costs. Alternative approaches to the linearization of the cost objective are considered in this paper and a combined approach is proposed which enables relatively simple and accurate cost optimizations, using the linear programming technique. The linearization procedure is based on a predefined investment strategy, and derived by combining two known methods (Rudd et al., Petrochemical Technology Assessment, Wiley, New York, 1981; Santiago et al., Computers chem. Engng 10, 421-431, 1986). The procedure is demonstrated by an example concerning a system for producing major petrochemicals from alternative raw materials. © 1992.

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Sokić, M., Todorčević, S., & Zdravković, S. (1992). Structuring of the optimum processing system: a better linearization method for the nonlinear cost objective function. Computers and Chemical Engineering, 16(3), 135–139. https://doi.org/10.1016/0098-1354(92)85001-O

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