Global Optimal Design of Electricity and Fresh Water Plants

MARIAN G. MARCOVECCHIO; NICOLÁS J. SCENNA; PIO A. AGUIRRE; SERGIO F. MUSSATI

Lisboa

Conferencia; 2nd International Conference on Engineering Optimization; 2010

This paper presents a NLP mathematical model of a Dual Purpose Plant (cogeneration of electricity and fresh water). Precisely, the main goal is to determine a set of thermodynamic non-ideal optimal solutions by applying a deterministic global optimization algorithm proposed by the authors. General Algebraic Modeling System GAMS is used to implement the model and the resolution strategy as well. The considered dual purpose process involves a gas turbine discharging exhaust gas to a backpressure turbine cycle which is coupled to a thermal desalination process and to a condensation turbine cycle. This system has been previously studied by the authors but using local optimization algorithm and consequently it was not possible to ensure the globality of solutions. The obtained global optimal solutions provide preliminary designs that satisfy optimum thermodynamic and process functional criteria.