Single-objective optimization design of convergent-divergent ducts of ducted wind turbine using RSM and GA, to increase power coefficient of a small-scale horizontal axis wind turbine

Velocity Augmentation Model for an Empty Concentrator-Diffuser-Augmented Wind Turbine and Optimisation of Geometrical Parameters Using Surface Response Methodology

“…The study, however, shares similarities with the work conducted in [7,9]. A contrast arises in selecting geometric parameters, particularly lengths, as outlined in [9].…”

“…Shrouded wind turbines enhance wind energy capture by increasing wind velocity as it passes through the throat region of ducts while retaining the original energy extraction method employed by bare wind turbines [7,8]. Numerous studies suggest that shrouded wind turbines can outperform their bare counterparts, producing more wind power at lower cut-in wind speeds and allowing for extended operation throughout the year [7,[9][10][11].…”

“…Therefore, an in-depth exploration of the impact of each parameter is essential [26]. It has been established that the ability of the concentrator to increase velocity is determined by both the angle and length of the concentrator [9,[27][28][29][30]. Concurrently, the augmentation of velocity for diffusers is significantly influenced by the length of the diffuser and its opening angle [31][32][33][34].…”

“…Researchers such as the authors of [38] underscore its crucial role in elucidating parameter-response relationships and facilitating the identification of optimal combinations. Rahmatian et al [9] illustrate the prowess of RSM in optimising various aspects of wind energy systems, including turbine energy recovery and control parameter optimisation. The authors of [39] recognise RSM's broad applicability, but they also acknowledge its limitations when dealing with nonlinear outputs.…”

“…A review of studies suggests that the surface response methodology can be effectively combined with other methods in the context of shrouded wind turbines. The authors of [9] employed the response surface methodology (RSM) and genetic algorithms (GA) for the optimisation of a convergent-divergent shroud in wind turbines. In their study, seven parameters are simultaneously investigated: the throat diameter and the length and angle of the duct components (nozzle, diffuser, and flange).…”