Potential of neuro-fuzzy methodology to estimate noise level of wind turbines

• Main Authors: Nikolic, V., Petkovic, D., Por, L. Y., Shamshirband, S., Zamani, M.
• Format: Article
• Published: Academic Press 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/71751/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955723317&doi=10.1016%2fj.ymssp.2015.05.005&partnerID=40&md5=ecd82eb144322914e2c91dfe8f0abd13
• Institution: Universiti Teknologi Malaysia

Wind turbines noise effect became large problem because of increasing of wind farms numbers since renewable energy becomes the most influential energy sources. However, wind turbine noise generation and propagation is not understandable in all aspects. Mechanical noise of wind turbines can be ignored since aerodynamic noise of wind turbine blades is the main source of the noise generation. Numerical simulations of the noise effects of the wind turbine can be very challenging task. Therefore in this article soft computing method is used to evaluate noise level of wind turbines. The main goal of the study is to estimate wind turbine noise in regard of wind speed at different heights and for different sound frequency. Adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the wind turbine noise levels.