INVESTIGADORES
MUSSATI Sergio Fabian
congresos y reuniones científicas
Título:
Global Optimal Design of Mechanical Vapor Compression (MVC) Desalination Process
Autor/es:
MARIAN G. MARCOVECCHIO; PIO A. AGUIRRE; NICOLS J. SCENNA; SERGIO F. MUSSATI
Lugar:
Nápoles
Reunión:
Simposio; 20th European Symposium on Computer Aided Process Engineering; 2010
Institución organizadora:
Italian Association of Chemical Engineering
Resumen:
This paper deals with the optimal design of Mechanical Vapor Compression (MVC)
desalination process. Precisely, a detailed mathematical model of the process and a
deterministic global optimization algorithm are applied to determine the optimal design
and operating conditions for the system. The resulting model involves the real-physical
constraints for the evaporation process. Nonlinear equations in terms of chemicalphysical
properties and design equations (efficiencies, Non-Allowance Equilibrium,
Boiling Point Elevation, heat transfer coefficients, momentum balances, among others)
are used to model the process. The model has been solved by using a deterministic
global optimization algorithm previously developed by the authors [7] and implemented
in a General Algebraic Modeling System GAMS [1]. The generalized reduced gradient
algorithm CONOPT 2.041 [2] is used as NLP local solver.
The model was successfully solved for different seawater conditions (salinity and
temperature) and fresh water production levels. The influence of the production
requirements on the process efficiency as well as the algorithms performance is
presented.