Identifying Factors Affecting the Efficiency and Increasing the Efficiency of WindTurbines

The paper delves into the importance of wind energy as a clean and renewable source, emphasizing the need for efficient energy management to combat pollution and enhance electricity production. It identifies key factors influencing wind turbine efficiency, including dust accumulation on blades, blade damage, blade length, wind speed prediction using neural networks and turbine height. Various methods to improve efficiency are explored, such as automated blade cleaning, energy storage systems, remote monitoring and blade health diagnosis. The study utilizes a systematic literature review approach, referencing multiple scholarly works to support its findings. It concludes that implementing artificial intelligence technologies, energy storage solutions, remote monitoring systems and blade health detection mechanisms can significantly enhance wind turbine performance, leading to cost reduction and increased stability in wind energy resources. By leveraging these advanced technologies and methods, the efficiency and effectiveness of wind turbines can be optimized, contributing to a more sustainable and reliable energy generation system in the future.

Identifying Factors Affecting the Efficiency and Increasing the Efficiency of WindTurbines Keywords:

Wind turbines , renewable energy , energy management , electricity production efficiency.