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Latin American applied research

versión impresa ISSN 0327-0793

Resumen

MUSSATI, S. F.; AGUIRRE, P. A.  y  SCENNA, N. J.. A hybrid methodology for optimization of multi-stage flash-mixer desalination systems. Lat. Am. appl. res. [online]. 2003, vol.33, n.2, pp. 141-147. ISSN 0327-0793.

In this paper, a new strategy involving an evolutionary algorithmic procedure for the optimization of Multiple Stage Flash (MSF-M) Systems is presented. A "detailed model" of an MSF-M System is developed according to rigorous material, momentum and energy balances for each stage. The model of the MSF-M System is represented as a complex NLP, which incorporates a high number of nonlinear constraints that difficult the global optimum determination. Here we present a hybrid methodology that uses optimal solutions obtained from a "thermodynamic method" to find the "economic global optimal solution". A pre-processing stage (solving successive NLPs) is used to initialize the final NLP problem. A Case Study and a discussion of the results are presented.

Palabras llave : MSF-Mixer Desalination System; Optimal Synthesis and Design; Hybrid Methodology.

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