Ehtesham Ul Haq1, Anam Shahzadi1, Syed Murawat Abbas Naqvi2, Achraf El Kasmi3, Muhammad Ammar4This email address is being protected from spambots. You need JavaScript enabled to view it., Ali Abbas1, Ammar Malik1, Qasim Ali1, Naveed Rana1, and Muhammad Waqas1This email address is being protected from spambots. You need JavaScript enabled to view it.
1Department of Mechanical, Industrial and Energy Systems, College of Engineering and Technology, University of Sargodha, Sargodha 40100, Pakistan
2Department of Mechanical Engineering, NFC Institute of Engineering and Fertilizer Research, Faisalabad, Pakistan 38000, Pakistan
3Laboratory LSIA, UAE/U02ENSAH, National School of Applied Sciences of Al Hoceima, Abdelmalek Essaadi University, Al Hoceima, 32003, Morocco
4Department of Chemical Engineering Technology, Government College University, Faisalabad 38000, Pakistan
Received: November 21, 2023 Accepted: April 7, 2024 Publication Date: July 15, 2024
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Wind energy, as a renewable energy source, is one of the most efficient and cost-effective methods to overcome the need for power. In this work, a vertical-axis hybrid wind turbine (VAHWT) is designed and simulated to obtain an extended operational range, improve aerodynamic performance, and enhance self-starting capabilities in local urban areas. The VAHWT is designed to achieve high RPM at minimum wind velocity, less noise, easy installation, and maintenance, and reacts to wind from all directions for domestic usage. The VAHWT, consisting of a 3-bladed modified Darrieus and Savonius turbine, is modeled and analyzed in high-performance computational fluid dynamics (CFX) to calculate the characteristic parameters of the designed turbine. The model of the designed VAHWT is prepared in SolidWorks, and the geometry is then used to generate the grid in Ansys Meshing for CFX analysis to evaluate the performance. The results show that the turbine with Darrieus and Savonius blades has a coefficient of power (Cp) of 35% at a tip speed ratio (TSR) of 2.09 , and a power of 216.60 W can be generated when the turbine is run at 205rpm at the wind speed of 6 ms−1. This work emphasizes the electrification of local areas with minimum cost and operational range, supporting energy sustainability prospects.
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