Vertical Axis Hybrid Wind Turbine
dc.contributor.advisor | Kostyák, Attila | |
dc.contributor.author | Hameed, Adeel | |
dc.contributor.department | DE--Műszaki Kar | |
dc.date.accessioned | 2024-01-10T16:53:19Z | |
dc.date.available | 2024-01-10T16:53:19Z | |
dc.date.created | 2023-11-30 | |
dc.description.abstract | My thesis' main purpose is to look into the potential and practicality of vertical axis hybrid wind turbines (VAHWTs) for sustainable electricity generation and investigate the self-starting issue of VAWT. The development of sustainable energy sources has become increasingly critical in recent years because of growing worries about climate change, finite fossil fuel supplies, and the need for energy sustainability. Wind power stands out as a prominent and realistic alternative among the vast range of renewable energy options and the urgent problems of climate change, energy security, and sustainable development have been identified as ones that require a significant response from renewable energy. This prompted me to focus my thesis on vertical-axis hybrid wind turbines and how the self-starting issue can be tackled to make it more efficient. My research’s main purpose is to investigate the potential and practicality of vertical axis hybrid wind turbines (VAHWTs) for sustainable electricity generation. To begin, I intend to present a detailed overview of wind turbines' original design and development process. Secondly, I would analyze the possible turbine types, VAWT will be compared with HAWT, and the possible conclusions will be written, and the efficiency based on the location and production output will be analyzed. The main steps include investigating the starting process of the wind turbine, solving the starting process problem, analyzing possible turbine types and comparing them with the horizontal axis wind turbine, and analyzing the efficiency of the vertical axis hybrid wind turbine based on location and production output. It is also evident from this study that in an era marked by rising energy demand and an urgent need for long-term solutions, the collaboration of artificial intelligence (AI) and the energy sector shines as a beacon of hope. The investigation of AI's integration in smart grids, energy forecasting, storage systems, predictive maintenance, cybersecurity, and optimized distribution highlights its critical role in reshaping our energy supply system. In conclusion, my investigation sought to pinpoint turbines well-suited for facility-level installation, emphasizing efficiency within specific wind conditions and compatibility with low-altitude sites near facilities. While refinements are possible with additional factors, the current approach is a resource-efficient solution for initial calculations. | |
dc.description.course | Mechanical Engineering | en |
dc.description.degree | BSc/BA | |
dc.format.extent | 35 | |
dc.identifier.uri | https://hdl.handle.net/2437/364914 | |
dc.language.iso | en | |
dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
dc.subject | Wind Energy | |
dc.subject | Energy Generation | |
dc.subject | Hybrid Wind Turbine | |
dc.subject | Renewable Energy | |
dc.subject | Sustainability | |
dc.subject.dspace | DEENK Témalista::Engineering Sciences | |
dc.title | Vertical Axis Hybrid Wind Turbine |