INVESTIGADORES
SCENNA Nicolas Jose
artículos
Título:
A new global optimization algorithm for process design: its application to thermal desalination processes.
Autor/es:
SERGIO MUSSATI; PÍO AGUIRRE; SCENNA, NICOLAS JOSE; LIC. MARIAN MARCOVECCHIO
Revista:
Desalination
Editorial:
ELSEVIER
Referencias:
Año: 2004 vol. 166 p. 129 - 140
ISSN:
0011-9164
Resumen:
A new deterministic algorithm [1] to solve a nonconvex, nonlinear optimization problem (a desalination process
model) to global optimality is presented. The algorithm optimization was applied to the simplified model developed
previously by Mussati et al. [2,3]. The objective was to determine the optimal process design and operating conditions
for a given water production. Although the model for the desaltor was derived from a simplified hypothesis, it considers
all the most important aspects of the process. The model takes into account the evaporator geometric design (height,
length and width of stages), number of tubes in the pre-heater, boiling point elevation, among others. The resulting
mathematical model contains inherently nonlinear and noneonvex constraints. The proposed iterative algorithm is
deterministic, and it attains finite e-convergence to the global optimum through the successive subdivision of the
original region and the subsequent solution of nonconvex optimization problems. A bound reduction technique is
performed in order to accelerate the algorithm convergence. The global optimal solutions obtained by the algorithm
provide preliminary designs for the process. Moreover, these solutions are used as a starting point to solve more
complex models efficiently [3 ]. Different case studies are presented and discussed in order to illustrate the methodology
and computational performance.