Optimization of Alternative Structures of Integrated Power and Desalination Plants?

S.F. MUSSATI; P.A. AGUIRRE; N.J. SCENNA

DESALINATION

ELSEVIER SCIENCE BV

Lugar: Amsterdam; Año: 2005 vol. 182 p. 123 - 129

0011-9164

The selection of a dual purpose desalination plant depend mainly on many factors such as the required power to water ratio, cost of fuel energy charged to the desalination process, electricity sales, capital costs, and local requirements. Alternative configurations must be analyzed in order to select the optimal configuration to satisfy electricity and fresh water demands. This paper presents an optimization mathematical model of a superstructure of alternative configurations of dual purpose desalination plants (DPP). In fact, the mathematical model recently presented by [1] has been properly modified on order to include other alternative configurations. The proposed alternative configurations reduce significantly the total leveled cost of the DPP. The superstructure of optional arrangements (optimization problem) is modeled as a Mixed Integer Nonlinear Programming (MINLP) Model where binary variables (0-1) are used to select the equipments for the cogeneration plant. The resulting MINLP model can be used for synthesis as well as for analyzing different design alternatives. The solution obtained by the proposed mathematical model provides the basic design of the DPP. The model has been implemented in General Algebraic Modeling System [2]. Several study cases were successfully solved by applying the MINLP model. In this paper a study case is presented in order to illustrate the model capabilities.