Multi-Objective Optimization of a Herringbone Wavy Fin-and-Tube Condenser Design Using Entropy Generation Minimization Method

In the present paper, a multi-objective design optimization of a herringbone wavy fin-and-tube condenser by means of entropy generation minimization technique is presented. The objectives are to minimize the dimensionless entropy generation number associated with the heat transfer with finite temperature difference, and the fluid friction with finite pressure drop as two objective functions using Non-dominated Sort Genetic Algorithm-II (NSGA-II) technique. The results of optimal design are presented in a set of multiple optimum solutions, called 'Pareto-optimal' frontier and a final optimal solution was selected. It was found that both entropy generation rates associated with finite temperature difference and the finite pressure drop of the condenser were in optimum state. Therefore, modeling and optimization of the condenser dimensions have provided an optimal set of values for decision makers to freely select the desired heat transfer surface area and condenser volume by fully considering the specific requirements and constraints of the condenser design.