An advanced Computational Mechanics approach of optimized design for preparing of Darrieus-Ugrinsky Helical Wind Turbine for Four-Dimensional Printing

Prof. Dr. Nikolay Zlatov, Ass. Prof. Dr. Krastimir Popov, Prof. Georgi Hristov , Prof. Plamen Zahariev, Ass. Prof. Chi Hieu Le, Prof. Ivan Beloev

The article discusses the potential of computational mechanics (CFD) in improving the understanding of unsteady aerodynamics in Darrieus-Ugrinsky Helical Wind Turbine. With advancements in computing resources, CFD is expected to become a cost-effective and accurate tool in this field. Darrieus-Ugrinsky Helical Wind Turbines are gaining popularity, particularly for small-scale applications and unconventional installation sites. The study utilizes unique experimental parametric model using the parameterization methods in SolidWorks' Flow Simulation module. This gives a better way to optimize a combined rotor to validate different CFD approaches, focusing on parametric simulations. The article examines the correct definition of the computational domain, selection of parameters of the models, and correction of simulated data. The results indicate that well-configured CFD simulations can provide an accurate estimation of turbine performance and effectively describe the flow field, creating a lower pressure outlet, and improving power and torque coefficients. This research is done using wind data for Bulgarian environment from Meteorological Archive of NIMH (National Institute of Meteorology and Hydrology)