Design and performance optimization of a combined darrieus-savonius turbine with DTBO algorithm in low wind speed regime

Abstract Vertical axis wind turbine’s (VA-WT’s) efficiency is quite low compared with horizontal axis wind turbine. Thus, there is an ample scope for researching into its design to optimize its efficiency. Combination of Darrieus turbine and Savonius turbine VA-WTs can be an effective proposition for harnessing wind power in the built-in areas that has traditionally low-wind speed. The main goal of the current effort is to optimize the power coefficient of a combined Darrieus-Savonius VA-WT at low-wind speed conditions (5–10 m s −1 ). The current optimization is based on driving training-based optimization (DTBO), a new stochastic technique that supports single objective function optimization and offers quick convergence. It uses a metaheuristic evolutionary search method, which has powerful search capabilities. The novel metaheuristic technique, DTBO, has been used to solve the problem of optimization of power coefficient of the combined turbine. The optimized power coefficient obtained is 0.53 for a low-wind speed 8 m s −1 at a tip-speed-ratio (TSR) 2.4 and a rotor rpm 1190.