A HYBRID METHODOLOGY FOR OPTIMIZATION OF MULTI- STAGE FLASH-MIXER DESALINATION SYSTEMS
2003; National University of the South; Volume: 33; Issue: 2 Linguagem: Inglês
ISSN
1851-8796
AutoresSergio F. Mussati, Pı́o A. Aguirre, Nicolás J. Scenna,
Tópico(s)Wind and Air Flow Studies
Resumo−− −− −− 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.
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