This paper focuses on the mathematical modeling and optimization of Multi-Effect Evaporation plants (MEE). A simplified and detailed enough model to accurately predict the MEE system performance is presented. The model is ...

This study proposes the use of a non-linear branch-and-bound (B&B) algorithm to solve the reactive power dispatch and planning problem of an electrical power system. The problem is formulated as a mixed integer non-linear ...

The optimization of a multi-generation system which represents the integrated dual-purpose desalination plant and a low-scale absorption refrigeration system is addressed. A nonlinear mathematical programming optimization ...

Till present, models that determined batch plants configurations in the chemical process industry resorted to models with binary variables to represent the different admissible options. This approach allowed representing ...

This study proposes the use of a non-linear branch-and-bound (B&B) algorithm to solve the reactive power dispatch and planning problem of an electrical power system. The problem is formulated as a mixed integer non-linear ...

A mathematical model developed recently by the authors is extended into a non linear mathematical programming problem to determine the nominal optimal sizing of equipment (heat transfer area) and optimal operation conditions ...

Two important components of decision support systems (DSSs) are a model that describes the behaviour of the system under study along a certain period of time and an optimization algorithm that searches for one or several ...

In this paper a novel Branch and Bound (B&B) algorithm to solve the transmission expansion planning which is a non-convex mixed integer nonlinear programming problem (MINLP) is presented. Based on defining the options of ...