Multi-objective Optimization of Devotee Plate of Heaters in Shazand Thermal Power Plant using CFD and NSGA II Algorithm

In this paper, by employing the Computational Fluid Dynamics (CFD) and applying the NSGA II algorithm, the geometry of devotee plate of high pressure heaters in Shazand thermal power plant is multi-objectively optimized. In the optimization process, three geometrical design variables are changed so as to simultaneously minimize the maximum velocity in heater and minimize the force applied to the devotee plate. The three design variables are: inlet diameter of devote plate, thickness of straight part and thickness of indirect part. In the results section, the Pareto front will be presented, and it will be demonstrated that the Pareto front conveys very important results for the designing of the shape of devotee plates. Such important optimal principles would not have been obtained without the use of both CFD modeling and the multi-objective Pareto optimization approach. It should be mentioned that the MOO is performed two times. One for the case that the thickness of devotee plate is fixed and equal to 25 mm and the second times which the thickness of devotee plate can varied and is one of the design variables.